Skip to main content

Main menu

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Advertisers
    • Editorial Board
    • Special Issues
  • Journal Metrics
  • Other Publications
    • Anticancer Research
    • Cancer Genomics & Proteomics
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
  • About Us
    • General Policy
    • Contact
  • Other Publications
    • In Vivo
    • Anticancer Research
    • Cancer Genomics & Proteomics

User menu

  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
In Vivo
  • Other Publications
    • In Vivo
    • Anticancer Research
    • Cancer Genomics & Proteomics
  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart
In Vivo

Advanced Search

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Advertisers
    • Editorial Board
    • Special Issues
  • Journal Metrics
  • Other Publications
    • Anticancer Research
    • Cancer Genomics & Proteomics
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
  • About Us
    • General Policy
    • Contact
  • Visit iiar on Facebook
  • Follow us on Linkedin
Review ArticleReview
Open Access

Hyperglycemia in Critically Ill Patients: Current Approaches and Management Strategies

MĂDĂLINA DIANA DAINA, COSMIN MIHAI VESA, TIMEA CLAUDIA GHITEA, CAMELIA FLORINA IOVA, MIHAELA GABRIELA BONȚEA, FEHÉR LÁSZLÓ and CRISTIAN MARIUS DAINA
In Vivo January 2026, 40 (1) 583-599; DOI: https://doi.org/10.21873/invivo.14223
MĂDĂLINA DIANA DAINA
1Faculty of Medicine and Pharmacy, Doctoral School of Biomedical Sciences, University of Oradea, Oradea, Romania;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
COSMIN MIHAI VESA
2Preclinical Department of Preclinical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, Oradea, Romania;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
TIMEA CLAUDIA GHITEA
3Pharmacy Department, Faculty of Medicine and Pharmacy, University of Oradea, Oradea, Romania;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: timea.ghitea{at}csud.uoradea.ro
CAMELIA FLORINA IOVA
4Psycho-Neurosciences and Recovery Department, Faculty of Medicine and Pharmacy, University of Oradea, Oradea, Romania;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
MIHAELA GABRIELA BONȚEA
4Psycho-Neurosciences and Recovery Department, Faculty of Medicine and Pharmacy, University of Oradea, Oradea, Romania;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
FEHÉR LÁSZLÓ
5Emergency Clinical Municipal Hospital Timisoara, Timisoara, Romania;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
CRISTIAN MARIUS DAINA
6Department of Surgical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, Oradea, Romania
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

Hyperglycemia is frequently encountered in critically ill patients and is associated with adverse outcomes, including increased morbidity and mortality. It may be pre-existing due to diabetes mellitus or develop during hospitalization as stress hyperglycemia. This review aims to raise awareness among medical staff regarding the implications of hyperglycemia in critically ill patients, its pathophysiology, monitoring techniques, and current treatment protocols. Therefore, evidence from the international literature is analyzed, with specialized journals serving as reference points, focusing on the impact of glycemic variability, individualized patient management, and emerging technologies such as artificial intelligence-driven biosensors for glucose monitoring. Hyperglycemia is defined as a blood glucose level exceeding 7.0 mmol/l (125 mg/dl) before admission or surpassing 10.0 mmol/l (180 mg/dl) two hours postprandial. Monitoring can be conducted using arterial or capillary blood, continuous glucose monitoring systems, or artificial intelligence-enhanced biosensors. Regardless of their diabetic status, patients present unique clinical features. Those with pre-existing diabetes may experience hypoglycemia, diabetic ketoacidosis, hyperosmolar hyperglycemic state, electrolyte imbalances, and dehydration, necessitating meticulous monitoring and intervention. Special attention must be given to glycemic variability, maintaining levels between 3.8 and 10.0 mmol/l (70-180 mg/dl), and timely interventions to prevent complications. Current treatment protocols prioritize intravenous insulin infusion based on multiple clinical studies on hyperglycemic intensive care unit (ICU) patients. To minimize complications, maintaining glucose levels between 6.1 and 10.0 mmol/l (110-180 mg/dl) is recommended, balancing the risk of hypoglycemia. Hyperglycemia negatively impacts mortality due to systemic damage and the delayed detection of glucose dysregulation. This review underscores the necessity of personalized glycemic control strategies to improve patient outcomes in ICUs.

Keywords:
  • Hyperglycemia
  • critical illness
  • intensive care
  • diabetes mellitus
  • glucose monitoring
  • stress hyperglycemia
  • review

Introduction

Diabetes mellitus (DM) significantly impacts hospitalization outcomes by increasing morbidity, mortality, and length of stay (1). Recent studies, particularly during the COVID-19 pandemic, have highlighted the heightened risk of complications in diabetic patients (2, 3). Acute illnesses further exacerbate hyperglycemia through hormonal imbalances and inflammatory responses, making its identification and management in critically ill patients essential. Prolonged hyperglycemia contributes to systemic damage, immune dysfunction, and oxidative stress (4).

DM increases the risk of hospitalization due to micro- and macro- vascular complications, including cardiovascular disease, nephropathy, infections, cancer, and lower limb amputations (5). Hyperglycemia, even in the absence of pre-existing diabetes, worsens acute illness by suppressing immunity and exacerbating oxidative stress (6). Hospitalized patients in intensive therapy frequently develop hyperglycemia, yet optimal glucose control remains a subject of ongoing investigation (7).

Severe illness, particularly in critically ill patients, triggers increased stress hormone secretion, causing insulin resistance and increasing gluconeogenesis and glycogenolysis. These events contribute to stress-induced hyperglycemia (8), defined as transient hyperglycemia (blood glucose levels >7 mmol/l fasting or >10 mmol/l postprandial) in the absence of diabetes and without elevated glycosylated hemoglobin levels (>6.5%). In critically ill patients either with or without diabetes, hyperglycemia increases mortality, complications, and hospital stays. Its management requires consideration of factors such as medical history, nutrition, monitoring capabilities, and target glucose levels (9-12). If left untreated, hyperglycemia worsens due to osmotic diuresis, leading to mitochondrial dysfunction, endothelial damage, and increased susceptibility to infections, further deteriorating the patient’s already critical condition (13).

The prevalence of diabetes has risen sharply, with cases increasing by 102.9% between 1990 and 2017 (14). In 2019, the International Diabetes Federation estimated that 463 million people had diabetes, with projections reaching 578 million by 2030 and 700 million by 2045. The prevalence is higher in urban areas and wealthier countries compared to rural and lower-income regions. A significant percentage of ICU patients are diagnosed with diabetes upon admission based on glycosylated hemoglobin levels, with prevalence estimates ranging between 12-40%. A 2013 global observational study involving 44,964 ICU patients reported that 29% had diabetes at admission, while the 2009 NICE-SUGAR trial found that 20% of ICU patients had a known history of diabetes (15-19).

This review analyzes the management of diabetic and hyperglycemic patients in the ICU, emphasizing its pathophysiology, glucose monitoring, individualized patient care, and current treatment protocols. By synthesizing evidence from the literature, this study aims to enhance medical staff awareness and improve outcomes in critically ill patients with hyperglycemia.

Methods

A narrative review was conducted based on a systematic search of Scopus, PubMed, and Web of Science databases. The search focused on literature related to hyperglycemia in critically ill patients admitted to intensive care units. The following keywords were used: “hyperglycemia”, “critical patient”, “intensive care”, “hospital”, and “diabetes mellitus”. Studies eligible for inclusion were full-text articles in English, comprising original research and systematic reviews relevant to the topic. Exclusion criteria included abstracts, irrelevant studies, non-English articles without an English version, and articles without full-text availability. From an initial pool of 282 records, 74 studies were selected after screening and analysis. Selection of eligible articles was carried out on the basis of the title and abstract and finally of the full article, with a complex analysis of their content being carried out. The most relevant and informative data extracted concerned: the type of study, the year it was carried out, the number of patients included, the purpose of the study, followed and subsequent glycemic control.

The methodology for selecting the published articles included in the study is presented in Table I.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table I.

Methodology for selecting the published articles included in the study.

Pathophysiology of Hyperglycemia in Critically Ill Patients

Mechanisms of hyperglycemia production. Glucose homeostasis is primarily regulated by insulin, a hormone secreted by the pancreas that stimulates glycolysis, glycogenesis, lipogenesis, and protein synthesis while inhibiting gluconeogenesis. In critical illness, insulin resistance develops due to increased counter-regulatory hormone activity (cortisol, glucagon, catecholamines), leading to hyperglycemia. To compensate, the pancreas increases insulin secretion, but persistent resistance can result in pancreatic beta-cell dysfunction and elevated circulating glucose levels (20, 21).

Hyperglycemia contributes to metabolic dysregulation, systemic inflammation, and vascular complications. It is associated with the development of dyslipidemia, nephropathy, retinopathy, cardiovascular disease, cataracts, and infections, further exacerbating the patient’s condition (22).

Stress hyperglycemia. Critically ill patients without prior diabetes may develop stress hyperglycemia, a condition characterized by elevated blood glucose levels (>10.0 mmol/l or 180 mg/dl) due to insulin resistance and decreased insulin secretion. This response is triggered by the activation of the hypothalamic-pituitary-adrenal axis, which increases cortisol release, stimulating gluconeogenesis while inhibiting glucose utilization (23). Additionally, counter-regulatory hormones such as glucagon, catecholamines, and growth hormone contribute to lipolysis, proteolysis, and further glucose production, ultimately leading to deficient glucose uptake in peripheral tissues and increased free fatty acid levels (24).

Three key conditions recognized as triggers for stress hyperglycemia in critically ill patients include severe sepsis, systemic inflammatory response syndrome (SIRS), and head trauma. Despite impaired tissue oxygenation, persistent glycolysis serves as an energy source, a phenomenon known as the Warburg effect, which plays a central metabolic role in these conditions (24).

Stress hyperglycemia is strongly associated with increased in-hospital mortality (25, 26). However, its effects may be mitigated through a personalized approach, including targeted nutrient supplementation to support metabolic balance in critically ill patients (27-29).

Hyperglycemia and oxidative stress. Hyperglycemia induces oxidative stress by increasing reactive oxygen species (ROS) production, leading to cellular damage. This imbalance between ROS accumulation and the body’s detoxification mechanisms exacerbates insulin resistance, inflammation, and endothelial dysfunction, further impairing patient recovery (28, 29).

Under normal physiological conditions, three primary ROS are produced: superoxide, hydrogen peroxide, and nitric oxide. These reactive species interact to form highly active compounds such as singlet oxygen, hydroxyl radicals, and peroxynitrites, which can damage proteins, lipids, and DNA (4, 30, 31).

The interplay between dyslipidemia, obesity, oxidative stress, inflammation, and diabetes is evident in adipose tissue, which contains macrophages and stromal cells that produce adipokines to regulate carbohydrate metabolism and insulin resistance. Moreover, diabetes significantly increases cardiovascular risk, negatively impacting the prognosis of ICU patients (32).

Hyperglycemia and inflammation. Elevated glucose levels stimulate pro-inflammatory cytokines (IL-1β, IL-6, TNF-α), perpetuating systemic inflammation and contributing to immune dysregulation. Poor glucose control is associated with increased levels of these inflammatory markers, creating a chronic inflammatory state that may promote tumor development (33).

The role of hypoxia-inducible factor-1 alpha (HIF-1α) in hyperglycemia-induced inflammation has been noted, linking metabolic stress to oxidative stress. Studies indicate that hyperglycemia combined with hypoxia stimulates HIF-1α expression, further exacerbating inflammation (34).

Another mechanism through which hyperglycemia promotes low-grade chronic inflammation, particularly in individuals with metabolic syndrome and untreated diabetes, involves the release of pro-inflammatory cytokines in response to the scavenging of haptoglobin (Hb)- hemoglobin (Hp) complexes via CD163 in M(IFNγ) cells. This process, normally protective against vascular damage, is converted into an inflammatory response under hyperglycemic conditions (35).

Counter-regulatory hormones. Under conditions of stress, as well as under conditions of hypoglycemia, counter-regulatory hormones are released. They have insulin-antagonistic effects for the liver, as well as for the peripheral tissues. These counter-regulatory hormones are glucagon, cortisol, adrenaline and growth hormone (36).

Glucagon is recognized to be important in glucose homeostasis and in diabetes pathophysiology. Its main role is to stimulate hepatic glucose production, but it also stimulates ketogenesis, working concurrently with insulin to maintain a balance (37). The mechanism of hyperglycemia production is presented in Figure 1.

Figure 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1.

Hyperglycemia production mechanism. HHS: Hyperosmolar hyperglycemic state.

Hyperglycemia in Diabetic ICU Patients

Increased insulin requirements. Critically ill diabetic patients experience heightened insulin resistance, necessitating higher insulin doses. However, excessive insulin administration must be carefully managed to prevent hypoglycemia. Increased insulin resistance in these patients is linked to greater inflammation, disease severity, and impaired glucose tolerance, potentially leading to insulin saturation and worsening hyperglycemia (38).

While higher insulin doses are often required, their use should be carefully controlled, as excessively high doses can increase the risk of hypoglycemia and prolong the time needed to achieve target glucose levels. Balancing insulin therapy is essential to minimize risks and optimize glycemic control in critically ill diabetic patients (39).

Hypoglycemia risks. Strict glucose control in critically ill patients increases the risk of hypoglycemia, which is independently associated with higher mortality. Hypoglycemia is classified by severity based on blood glucose levels, with intensive glucose management in the ICU often leading to moderate or severe hypoglycemic episodes (40).

Severe hypoglycemia, defined as a blood glucose level below 2.2 mmol/l (40 mg/dl), significantly increases the risk of death within 90 days for ICU patients. Additionally, patients experiencing multiple hypoglycemic episodes (at least three), whether severe or moderate (2.2-3.3 mmol/l or 40-60 mg/dl), have an elevated mortality risk beyond 90 days. Therefore, careful monitoring and individualized glucose management are essential to achieving glycemic control while minimizing hypoglycemia-related complications (41). Diabetic ketoacidosis and hyperosmolar hyperglycemic state. Diabetic ketoacidosis (DKA) and hyperosmolar hyperglycemic state (HHS) are acute, life-threatening complications of DM that require immediate recognition and aggressive management. Both conditions result from severe insulin deficiency but differ in their clinical presentation, pathophysiology, and associated risks (42).

DKA is characterized by hyperglycemia, metabolic acidosis (due to ketone accumulation), and dehydration (43). It primarily affects individuals with type 1 diabetes but can also occur in type 2 diabetes under extreme stress or infection. DKA presents with symptoms such as polyuria, polydipsia, nausea, vomiting, abdominal pain, and altered mental status (44). The major biochemical features include elevated blood glucose levels (>13.9 mmol/l or 250 mg/dl), arterial pH <7.3, and serum bicarbonate <18 mEq/l. Despite its severity, DKA has a relatively low mortality rate (<1%) when promptly treated with fluid resuscitation, insulin therapy, and electrolyte correction (45, 46).

Hyperosmolar hyperglycemic state (HHS), on the other hand, predominantly affects older individuals with type 2 diabetes and is often precipitated by infections, cardiovascular events, or noncompliance with diabetes treatment (47). Unlike DKA, HHS is marked by extreme hyperglycemia (>33.3 mmol/l or >600 mg/dl), profound dehydration, and hyperosmolarity (>320 mOsm/kg), without significant ketone production (48). Neurological symptoms, such as confusion, seizures, or coma, are more common in HHS due to severe dehydration and increased serum osmolality. HHS has a significantly higher mortality rate (~17%), primarily due to delayed diagnosis, severe dehydration, and underlying comorbidities (49).

Management considerations. Fluid resuscitation: Rapid intravenous fluid replacement is essential for both conditions, with a focus on restoring intravascular volume and correcting dehydration. Insulin therapy: In DKA, continuous intravenous insulin infusion is necessary to suppress ketogenesis, whereas in HHS, insulin is initiated cautiously to prevent rapid osmotic shifts. Electrolyte replacement: Potassium, phosphate, and bicarbonate imbalances must be closely monitored and corrected as needed. Addressing underlying causes: Identifying and treating precipitating factors such as infections, myocardial infarction, or medication noncompliance is crucial to prevent recurrence (50, 51).

Given the higher mortality rate associated with HHS, early detection and aggressive treatment are critical in improving patient outcomes. A multidisciplinary approach involving endocrinologists, critical care specialists, and nursing staff ensures optimal management and reduces complications in patients with DKA and HHS (50, 51).

Electrolyte imbalances and dehydration. Diabetic patients in the ICU frequently develop a range of electrolyte imbalances, including hyponatremia, hypernatremia, hypokalemia, hyperkalemia, hypomagnesemia, hypocalcemia, hypercalcemia, and hypophosphatemia. These imbalances significantly contribute to morbidity and mortality, necessitating careful monitoring and targeted treatment based on their underlying physiopathological mechanisms (52).

Proper hydration plays a crucial role in glycemic control, particularly in patients with pre-existing metabolic syndrome. DM increases the risk of dehydration through excessive urinary water loss due to glucosuria and osmotic diuresis. Hyperglycemia further exacerbates dehydration by shifting water from the intracellular to the extracellular space, altering osmolality and blood volume regulation. In severe cases, prolonged glucosuria leads to increased vasopressin secretion, resulting in a chronic hyperosmolar hypovolemic state. Close monitoring and timely intervention are essential to prevent complications arising from dehydration and electrolyte disturbances in critically ill diabetic patients (53). The particularities of hyperglycemia in DM patients hospitalized in the ICU are presented in Figure 2.

Figure 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 2.

Particularities of hyperglycemia in diabetes mellitus (DM) patients hospitalized in intensive care unit (ICU). DM: Diabetes mellitus; ICU: intensive care unit; DKA: diabetic ketoacidosis; HHS: hyperosmolar hyperglycemic state.

Hyperglycemia in Non-diabetic ICU Patients

Insulin therapy for stress hyperglycemia. Current guidelines for managing stress hyperglycemia in critically ill patients vary, with recommended blood glucose targets ranging from 7.7 to 11.1 mmol/l (139-200 mg/dl). The American College of Physicians (2011) suggests maintaining glucose levels within this range, while the American Diabetes Association (2012) recommends a slightly stricter target of 7.7-9.9 mmol/l (139-179 mg/dl). In contrast, the Medical Society of the Care of the Critically Ill proposes a lower range of 5.5-8.3 mmol/l (99-149 mg/dl). However, studies indicate that stringent glycemic control does not significantly reduce mortality and may increase the risk of hypoglycemia, particularly in patients with stroke or heart failure (54-56).

Insulin therapy plays a crucial role in stress hyperglycemia management by reducing morbidity, preventing new kidney injuries, shortening mechanical ventilation time, and decreasing ICU stay duration. Despite these benefits, its impact on overall mortality remains unclear (57).

For critically ill patients, continuous insulin infusion is typically used following a structured protocol (57-61). Recommended insulin administration rates are included in Table II. Given the variability in guideline recommendations and patient responses, individualized insulin therapy remains essential to balance glucose control while minimizing hypoglycemia risks.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table II.

Insulin infusion guidelines according to glycemia range.

Increased mortality in newly diagnosed hyperglycemic patients. Non-diabetic patients with acute hyperglycemia have worse outcomes than known diabetics, possibly due to a lack of metabolic adaptation and increased cardiovascular stress. The particularities of hyperglycemia in non-diabetic patients hospitalized in the ICU are presented in Figure 3.

Figure 3.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 3.

Particularities of hyperglycemia in non-diabetic patients hospitalized in intensive care unit (ICU). ICU: Intensive care unit.

Glycemic Management in ICU

Glycemic targets. International guidelines recommend maintaining blood glucose levels between 7.8 and 10.0 mmol/l (140-180 mg/dl) for critically ill patients (62, 63). Different organizations provide slightly varying recommendations, with some advocating for stricter control in selected patients. However, maintaining blood glucose below 6.1 mmol/l (110 mg/dl) or above 10.0 mmol/l (180 mg/dl) has been associated with increased risks of hypoglycemia and hyperglycemia-related complications (64). Careful attention should be paid to glycemic variability and preventing hypoglycemia, especially when blood glucose drops below 3.9 mmol/l (70 mg/dl) (65). The recommended glycemic targets for ICU patients according to international guidelines (61-67) are described in Table III.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table III.

Recommended glycemic targets for ICU patients according to international guidelines.

Continuous insulin infusion protocols. Protocols such as the Yale continuous insulin infusion protocol recommend (68-72) initiating insulin infusion when blood glucose exceeds 10.0 mmol/l (180 mg/dl) (73). The target range is typically 6.6-8.8 mmol/l (120-160 mg/dl), with infusion rates adjusted based on glucose response and hypoglycemia risk (74). Insulin administration is calculated based on the patient’s initial blood glucose level, with incremental adjustments made according to predefined algorithms (75). Monitoring should initially be performed hourly, then spaced to every two to four hours once glucose levels stabilize (76). Additional factors, such as underlying conditions, concurrent medications, and nutritional status, should also be considered in glycemic management. The recommendations of international associations regarding glycemic levels in ICU patients are presented in Table IV.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table IV.

Recommendations of international associations regarding the glycemic level in ICU departments patients.

Postoperative hyperglycemia management. Postoperative ICU patients with hyperglycemia require close monitoring to prevent complications. Regular insulin with blood glucose checks every 1-2 hours is recommended. Transitioning from continuous intravenous insulin infusion to long- or intermediate-acting subcutaneous insulin should be done cautiously once the patient is hemodynamically stable and has maintained stable glucose levels with minimal variability for at least 6-8 hours. To prevent rebound hyperglycemia or hypoglycemia, a 2-3 hour overlap between intravenous and subcutaneous insulin is essential due to the short half-life of IV insulin and the delayed onset of subcutaneous insulin. Careful glycemic management in the postoperative setting helps improve recovery and reduce complications associated with hyperglycemia in critically ill patients (77-81).

Glucose Monitoring in ICU

Arterial vs. capillary monitoring. Arterial blood glucose monitoring is generally more accurate in critically ill patients, as capillary glucose readings can be influenced by conditions such as hypoperfusion, subcutaneous edema, hypoxemia, anemia, and renal failure. Capillary monitoring requires minimal blood volume and does not need specialized expertise, but its accuracy can be compromised under specific clinical conditions. Conversely, arterial blood sampling, while more invasive, provides reliable glucose readings and allows simultaneous measurement of electrolytes, hemoglobin, and blood gases. The choice between arterial and capillary monitoring should be guided by the patient’s condition and clinical needs (82).

Continuous glucose monitoring (CGM). CGM presents a promising alternative for glucose monitoring in critically ill patients, offering real-time data and reducing the need for frequent blood sampling. Although CGM has demonstrated feasibility and reliability, challenges remain, including accuracy concerns and potential failures in detecting hypoglycemia or hyperglycemia, particularly in critically ill patients. Additionally, CGM primarily measures interstitial glucose levels rather than blood glucose, introducing a lag that may delay therapeutic adjustments. Despite these limitations, CGM can help reduce glycemic variability and provide early alerts for abnormal glucose levels, improving patient outcomes (83).

AI-driven biosensors. Artificial intelligence (AI)-integrated biosensors represent a significant advancement in continuous glucose monitoring, offering predictive analytics and personalized diabetes management. These biosensors analyze glucose trends in real time, allowing for proactive adjustments in treatment and reducing the risk of glycemic fluctuations. AI-driven monitoring enhances accuracy and may improve early detection of complications such as diabetic retinopathy and macular edema. However, barriers to widespread adoption include high costs, the need for further validation, and potential patient discomfort with device wearability. Continued advancements in AI-based glucose monitoring systems hold promise for revolutionizing diabetes care in ICU settings (84-86).

Intensive vs. conventional glycemic control. Multiple studies, including the 2009 NICE-SUGAR trial, have demonstrated that intensive glycemic control (4.4-6.1 mmol/l or 80-110 mg/dl) in critically ill patients increases mortality, primarily due to the increased risk of severe hypoglycemia. In the NICE-SUGAR study, which included 6104 patients, those undergoing intensive glycemic control had a significantly higher incidence of severe hypoglycemia (272 episodes compared to 16 in the conventional control group), contributing to increased mortality at 90 days (87).

A 2012 meta-analysis of 22 randomized controlled trials involving 13,978 participants further supported these findings, showing that strict glycemic control increased the risk of severe hypoglycemia by 5-fold without significantly reducing sepsis or the need for dialysis. While intensive glycemic control in surgical ICU patients was associated with a reduced risk of sepsis, no significant mortality benefit was observed (88).

Similarly, a 2021 randomized study assessed whether targeting a patient’s pre-admission blood glucose level improved survival compared to maintaining blood glucose levels below 10.0 mmol/l (180 mg/dl). The study found no survival advantage for critically ill patients subjected to intensive glycemic control (89).

A 2024 systematic review reinforced these concerns, highlighting a higher incidence of hypoglycemia and an increased risk of death in patients not receiving parenteral nutrition. In response to this growing evidence, the 2024 Society of Critical Care Medicine Guidelines now recommend against intensive glycemic control (4.4-7.7 mmol/l or 80-139 mg/dl) and instead endorse conventional glucose control (7.8-11.1 mmol/l or 140-200 mg/dl) to minimize the risk of hypoglycemia in critically ill patients (71).

As a result, conventional glycemic control (7.8-10.0 mmol/l or 140-180 mg/dl) is now considered the standard of care in ICU settings, prioritizing patient safety and reducing complications associated with excessive insulin administration.

Evidence from literature. The main findings of the systematic reviews, from the specialized literature, which focused on blood glucose monitoring in patients with diabetes in intensive care units, are shown in Table V.

View this table:
  • View inline
  • View popup
Table V.

The main findings of systematic reviews, which focused on blood glucose monitoring in patients with diabetes in intensive care.

In recent years, the frequency of DM in the extra-hospital and intra-hospital environment has increased, and a much greater increase is expected in the future, a fact that must arouse special interest among medical personnel for the timely discovery of this chronic pathology (56, 90-92).

Hyperglycemia hides some complex production mechanisms and acts on a multitude of organs, eventually taking over the entire body through its manifestations. This can occur even in healthy patients before hospitalization (stress hyperglycemia). At the same time, it is recognized for its implications both in oxidative stress and in the occurrence and maintenance of chronic inflammation (93).

The control of hyperglycemia in critically ill patients must be carried out in accordance with the body’s needs, implicitly by increasing insulin doses. This action can lead to hypoglycemic episodes that are threatening for the patient’s already precarious condition, increasing mortality (60).

There are two entities of diabetes complications that support the poor evolution of the patient: diabetic ketoacidosis and hypersomolar hyperglycemic state. They influence mortality in different percentages and the management must be prompt because they have negative implications on different organs.

The therapeutic approach must not lose sight of the hydro-electrolytic balance.

Also, in this type of patients, episodes of hypoglycemia are common, but their frequency is lower and glycemic control strategies should be revised to avoid both hypoglycemia and hyperglycemia.

Postoperatively, there is a need for intensive surveillance of the critically ill hyperglycemic patient with the transition from intravenous insulin infusion to long- or intermediate-acting insulin done at the appropriate time.

There are several ways to monitor blood glucose in the critically ill patient. The classic monitoring methods that have been mentioned are arterial and capillary glucose monitoring, respectively continuous glucose monitoring.

The strong point of the study consists in the extensive presentation of the implications of hyperglycemia in the critically ill patients in the intensive care units, and especially the ways in which it influences the evolution of the disease and the health status in this category of patients. A thorough review of the presentation, along with an explanation of the mechanisms behind hyperglycemia and the specific care considerations for critically ill patients. Another strength point of the study lies in the exposure of the treatment protocols that we find in the treatment of hyperglycemia. A limitation of the study could be the performance of a narrative review compared to a meta-analysis; however, as it is an extensive narrative review, it provides a broad view of the complex topic of hyperglycemia in the critically ill.

Conclusion

Hyperglycemia management in ICU patients remains a complex challenge requiring a balanced approach. Persistent hyperglycemia is associated with poor prognoses, particularly in critically ill patients, while intensive glycemic control has been linked to increased mortality due to severe hypoglycemia. The optimal glucose target should mitigate both hyperglycemia-related complications and the risks of hypoglycemia, with a recommended range of 6.1-10.0 mmol/l (110-180 mg/dl). Special attention should be given to glycemic variability and preventing blood glucose levels from dropping below 3.8 mmol/l (70 mg/dl).

There is no universally ideal protocol for hyperglycemia management in ICU settings, as non-diabetic patients experiencing acute hyperglycemia may face worse outcomes than those with pre-existing diabetes. Personalizing glycemic management strategies based on individual patient profiles, underlying conditions, and continuous glucose monitoring is essential.

Emerging AI-driven biosensors offer promising advancements in glucose monitoring and data analysis, enhancing real-time decision-making in both ICU and non-ICU settings. However, while technology plays an evolving role in diabetes care, current best practices emphasize moderate glycemic control tailored to patient needs to optimize outcomes and reduce mortality risks in critically ill patients.

Acknowledgements

The Authors would like to thank the University of Oradea for supporting the payment of the invoice through an internal project.

Footnotes

  • Authors’ Contributions

    Conceptualization, M.D.D. and T.C.G.; methodology, C.H.V.; software, C.F.I.; validation, C.H.V; formal analysis, M.G.B.; investigation, T.C.G.; resources, T.C.G.; data curation, T.C.G.; writing – original draft preparation, T.C.G.; writing – review and editing, T.C.G.; visualization, T.C.G.; supervision, F.L., and C.M.D.; project administration, T.C.G.; funding acquisition, T.C.G. All Authors have read and agreed to the published version of the manuscript.

  • Conflicts of Interest

    The Authors declare no conflicts of interest.

  • Funding

    The APC was funded by the University of Oradea, Oradea, Romania.

  • Artificial Intelligence (AI) Disclosure

    No artificial intelligence (AI) tools, including large language models or machine learning software, were used in the preparation, analysis, or presentation of this manuscript.

  • Received February 16, 2025.
  • Revision received March 19, 2025.
  • Accepted April 1, 2025.
  • Copyright © 2026 The Author(s). Published by the International Institute of Anticancer Research.

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) 4.0 international license (https://creativecommons.org/licenses/by-nc-nd/4.0).

References

  1. ↵
    1. Pasquel FJ,
    2. Lansang MC,
    3. Dhatariya K,
    4. Umpierrez GE
    : Management of diabetes and hyperglycaemia in the hospital. Lancet Diabetes Endocrinol 9(3): 174-188, 2021. DOI: 10.1016/S2213-8587(20)30381-8
    OpenUrlCrossRefPubMed
  2. ↵
    1. Katulanda P,
    2. Dissanayake HA,
    3. Ranathunga I,
    4. Ratnasamy V,
    5. Wijewickrama PSA,
    6. Yogendranathan N,
    7. Gamage KKK,
    8. de Silva NL,
    9. Sumanatilleke M,
    10. Somasundaram NP,
    11. Matthews DR
    : Prevention and management of COVID-19 among patients with diabetes: an appraisal of the literature. Diabetologia 63(8): 1440-1452, 2020. DOI: 10.1007/s00125-020-05164-x
    OpenUrlCrossRefPubMed
  3. ↵
    1. Rahotă DM,
    2. Țîrț DP,
    3. Daina LG,
    4. Daina CM,
    5. Ilea CDN
    : Using potential years of life lost (PYLL) to compare premature mortality between Romanian counties to confirmed COVID-19 cases in 2020 and 2021. Healthcare (Basel) 12(12): 1189, 2024. DOI: 10.3390/healthcare12121189
    OpenUrlCrossRefPubMed
  4. ↵
    1. González P,
    2. Lozano P,
    3. Ros G,
    4. Solano F
    : Hyperglycemia and oxidative stress: an integral, updated and critical overview of their metabolic interconnections. Int J Mol Sci 24(11): 9352, 2023. DOI: 10.3390/ijms24119352
    OpenUrlCrossRefPubMed
  5. ↵
    1. Diabetes Canada Clinical Practice Guidelines Expert Committee,
    2. Malcolm J,
    3. Halperin I,
    4. Miller DB,
    5. Moore S,
    6. Nerenberg KA,
    7. Woo V,
    8. Yu CH
    : In-hospital management of diabetes. Can J Diabetes 42 Suppl 42: S115-S123, 2018. DOI: 10.1016/j.jcjd.2017.10.014
    OpenUrlCrossRef
  6. ↵
    1. Bhatti JS,
    2. Sehrawat A,
    3. Mishra J,
    4. Sidhu IS,
    5. Navik U,
    6. Khullar N,
    7. Kumar S,
    8. Bhatti GK,
    9. Reddy PH
    : Oxidative stress in the pathophysiology of type 2 diabetes and related complications: Current therapeutics strategies and future perspectives. Free Rad Biol Med 184: 114-134, 2022. DOI: 10.1016/j.freeradbiomed.2022.03.019
    OpenUrlCrossRefPubMed
  7. ↵
    1. Gunst J,
    2. De Bruyn A,
    3. Van den Berghe G
    : Glucose control in the ICU. Curr Opin Anaesthesiol 32(2): 156-162, 2019. DOI: 10.1097/ACO.0000000000000706
    OpenUrlCrossRefPubMed
  8. ↵
    1. Kethireddy R,
    2. Gandhi D,
    3. Kichloo A,
    4. Patel L
    : Challenges in hyperglycemia management in critically ill patients with COVID-19. World J Crit Care Med 11(4): 219-227, 2022. DOI: 10.5492/wjccm.v11.i4.219
    OpenUrlCrossRefPubMed
  9. ↵
    1. Kim KS,
    2. Kim SK,
    3. Lee YK,
    4. Park SW,
    5. Cho YW
    : Diagnostic value of glycated haemoglobin (HbA1c) for the early detection of diabetes in high-risk subjects. Diabet Med 25(8): 997-1000, 2008. DOI: 10.1111/j.1464-5491.2008.02489.x
    OpenUrlCrossRefPubMed
    1. Mir MR,
    2. Ahamed MS,
    3. Arora S,
    4. Chhabra A,
    5. Misgar RA
    : Management of hyperglycemia in critical care-a comprehensive review. JMS SKIMS 27(1): 4-12, 2024. DOI: 10.33883/jms.v27i1.1352
    OpenUrlCrossRef
    1. Mazori AY,
    2. Bass IR,
    3. Chan L,
    4. Mathews KS,
    5. Altman DR,
    6. Saha A,
    7. Soh H,
    8. Wen HH,
    9. Bose S,
    10. Leven E,
    11. Wang JG,
    12. Mosoyan G,
    13. Pattharanitima P,
    14. Greco G,
    15. Gallagher EJ
    : Hyperglycemia is associated with increased mortality in critically ill patients with COVID-19. Endocr Pract 27(2): 95-100, 2021. DOI: 10.1016/j.eprac.2020.12.015
    OpenUrlCrossRefPubMed
  10. ↵
    1. Plečko D,
    2. Bennett N,
    3. Mårtensson J,
    4. Bellomo R
    : The obesity paradox and hypoglycemia in critically ill patients. Crit Care 25(1): 378, 2021. DOI: 10.1186/s13054-021-03795-z
    OpenUrlCrossRefPubMed
  11. ↵
    1. Dombrowski NC,
    2. Karounos DG
    : Pathophysiology and management strategies for hyperglycemia for patients with acute illness during and following a hospital stay. Metabolism 62(3): 326-336, 2013. DOI: 10.1016/j.metabol.2012.07.020
    OpenUrlCrossRefPubMed
  12. ↵
    1. Liu J,
    2. Ren ZH,
    3. Qiang H,
    4. Wu J,
    5. Shen M,
    6. Zhang L,
    7. Lyu J
    : Trends in the incidence of diabetes mellitus: results from the Global Burden of Disease Study 2017 and implications for diabetes mellitus prevention. BMC Public Health 20(1): 1415, 2020. DOI: 10.1186/s12889-020-09502-x
    OpenUrlCrossRef
  13. ↵
    1. Saeedi P,
    2. Petersohn I,
    3. Salpea P,
    4. Malanda B,
    5. Karuranga S,
    6. Unwin N,
    7. Colagiuri S,
    8. Guariguata L,
    9. Motala AA,
    10. Ogurtsova K,
    11. Shaw JE,
    12. Bright D,
    13. Williams R, IDF Diabetes Atlas Committee
    : Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the international diabetes federation diabetes atlas. Diabetes Res Clin Pract 157: 107843, 2019. DOI: 10.1016/j.diabres.2019.107843
    OpenUrlCrossRefPubMed
    1. Carpenter DL,
    2. Gregg SR,
    3. Xu K,
    4. Buchman TG,
    5. Coopersmith CM
    : Prevalence and Impact of Unknown Diabetes in the ICU. Crit Care Med 43(12): e541-e550, 2015. DOI: 10.1097/CCM.0000000000001353
    OpenUrlCrossRefPubMed
    1. Mouri M,
    2. Badireddy M
    : Hyperglycemia. Treasure Island, FL, USA, Statpearls, 2025.
    1. Ighodaro O,
    2. Adeosun A
    : Vascular complications in diabetes mellitus. Glob J Endocrinol Metab 1(2): 1-3, 2018. DOI: 10.31031/GJEM.2017.01.000506
    OpenUrlCrossRef
  14. ↵
    1. Holt RI,
    2. de Groot M,
    3. Golden SH
    : Diabetes and depression. Curr Diab Rep 14(6): 491, 2014. DOI: 10.1007/s11892-014-0491-3
    OpenUrlCrossRefPubMed
  15. ↵
    1. Rahman MS,
    2. Hossain KS,
    3. Das S,
    4. Kundu S,
    5. Adegoke EO,
    6. Rahman MA,
    7. Hannan MA,
    8. Uddin MJ,
    9. Pang MG
    : Role of insulin in health and disease: an update. Int J Mol Sci 22(12): 6403, 2021. DOI: 10.3390/ijms22126403
    OpenUrlCrossRef
  16. ↵
    1. Mergenthaler P,
    2. Lindauer U,
    3. Dienel GA,
    4. Meisel A
    : Sugar for the brain: the role of glucose in physiological and pathological brain function. Trends Neurosci 36(10): 587-597, 2013. DOI: 10.1016/j.tins.2013.07.001
    OpenUrlCrossRefPubMed
  17. ↵
    1. Giri B,
    2. Dey S,
    3. Das T,
    4. Sarkar M,
    5. Banerjee J,
    6. Dash SK
    : Chronic hyperglycemia mediated physiological alteration and metabolic distortion leads to organ dysfunction, infection, cancer progression and other pathophysiological consequences: An update on glucose toxicity. Biomed Pharmacother 107: 306-328, 2018. DOI: 10.1016/j.biopha.2018.07.157
    OpenUrlCrossRefPubMed
  18. ↵
    1. Vedantam D,
    2. Poman DS,
    3. Motwani L,
    4. Asif N,
    5. Patel A,
    6. Anne KK
    : Stress-induced hyperglycemia: consequences and management. Cureus 14(7): e26714, 2022. DOI: 10.7759/cureus.26714
    OpenUrlCrossRef
  19. ↵
    1. Bar-Or D,
    2. Rael LT,
    3. Madayag RM,
    4. Banton KL,
    5. Tanner A 2nd.,
    6. Acuna DL,
    7. Lieser MJ,
    8. Marshall GT,
    9. Mains CW,
    10. Brody E
    : Stress hyperglycemia in critically ill patients: insight into possible molecular pathways. Front Med (Lausanne) 6: 54, 2019. DOI: 10.3389/fmed.2019.00054
    OpenUrlCrossRefPubMed
  20. ↵
    1. Bode B,
    2. Garrett V,
    3. Messler J,
    4. McFarland R,
    5. Crowe J,
    6. Booth R,
    7. Klonoff DC
    : Glycemic characteristics and clinical outcomes of COVID-19 patients hospitalized in the United States. J Diabetes Sci Technol 14(4): 813-821, 2020. DOI: 10.1177/1932296820924469
    OpenUrlCrossRef
  21. ↵
    1. Li L,
    2. Zhao M,
    3. Zhang Z,
    4. Zhou L,
    5. Zhang Z,
    6. Xiong Y,
    7. Hu Z,
    8. Yao Y
    : Prognostic significance of the stress hyperglycemia ratio in critically ill patients. Cardiovasc Diabetol 22(1): 275, 2023. DOI: 10.1186/s12933-023-02005-0
    OpenUrlCrossRefPubMed
  22. ↵
    1. Rahimpour F,
    2. Nejati M,
    3. Farsaei S,
    4. Moghaddas A,
    5. Feizi A
    : Nutritional modifications to ameliorate stress hyperglycemia in critically ill patients: a systematic review. The Egypt J Int Med 36(1): 95, 2024. DOI: 10.1186/s43162-024-00361-1
    OpenUrlCrossRef
  23. ↵
    1. Danciu AM,
    2. Ghitea TC,
    3. Bungau AF,
    4. Vesa CM
    : The relationship between oxidative stress, selenium, and cumulative risk in metabolic syndrome. In Vivo 37(6): 2877-2887, 2023. DOI: 10.21873/invivo.13406
    OpenUrlAbstract/FREE Full Text
  24. ↵
    1. Pizzino G,
    2. Irrera N,
    3. Cucinotta M,
    4. Pallio G,
    5. Mannino F,
    6. Arcoraci V,
    7. Squadrito F,
    8. Altavilla D,
    9. Bitto A
    : Oxidative stress: harms and benefits for human health. Oxid Med Cell Longev 2017: 8416763, 2017. DOI: 10.1155/2017/8416763
    OpenUrlCrossRefPubMed
  25. ↵
    1. Mahjoub S and
    2. Masrour-Roudsari J
    : Role of oxidative stress in pathogenesis of metabolic syndrome. Caspian J Intern Med 3(1): 386-396, 2012.
    OpenUrlPubMed
  26. ↵
    1. Moisi MI,
    2. Rus M,
    3. Bungau S,
    4. Zaha DC,
    5. Uivarosan D,
    6. Fratila O,
    7. Tit DM,
    8. Endres L,
    9. Nistor-Cseppento DC,
    10. Popescu MI
    : Acute coronary syndromes in chronic kidney disease: clinical and therapeutic characteristics. Medicina (Kaunas) 56(3): 118, 2020. DOI: 10.3390/medicina56030118
    OpenUrlCrossRefPubMed
  27. ↵
    1. Gheorghe G,
    2. Toth PP,
    3. Bungau S,
    4. Behl T,
    5. Ilie M,
    6. Pantea Stoian A,
    7. Bratu OG,
    8. Bacalbasa N,
    9. Rus M,
    10. Diaconu CC
    : Cardiovascular risk and statin therapy considerations in women. Diagnostics (Basel) 10(7): 483, 2020. DOI: 10.3390/diagnostics10070483
    OpenUrlCrossRefPubMed
  28. ↵
    1. Chang SC,
    2. Yang WV
    : Hyperglycemia, tumorigenesis, and chronic inflammation. Crit Rev Oncol Hematol 108: 146-153, 2016. DOI: 10.1016/j.critrevonc.2016.11.003
    OpenUrlCrossRefPubMed
  29. ↵
    1. Zhao M,
    2. Wang S,
    3. Zuo A,
    4. Zhang J,
    5. Wen W,
    6. Jiang W,
    7. Chen H,
    8. Liang D,
    9. Sun J,
    10. Wang M
    : HIF-1α/JMJD1A signaling regulates inflammation and oxidative stress following hyperglycemia and hypoxia-induced vascular cell injury. Cell Mol Biol Lett 26(1): 40, 2021. DOI: 10.1186/s11658-021-00283-8
    OpenUrlCrossRefPubMed
  30. ↵
    1. Matuschik L,
    2. Riabov V,
    3. Schmuttermaier C,
    4. Sevastyanova T,
    5. Weiss C,
    6. Klüter H,
    7. Kzhyshkowska J
    : Hyperglycemia induces inflammatory response of human macrophages to CD163-mediated scavenging of hemoglobin-haptoglobin complexes. Int J Mol Sci 23(3): 1385, 2022. DOI: 10.3390/ijms23031385
    OpenUrlCrossRefPubMed
  31. ↵
    1. Lager I
    : The insulin-antagonistic effect of the counterregulatory hormones. J Intern Med Suppl 735: 41-47, 1991.
  32. ↵
    1. Hædersdal S,
    2. Lund A,
    3. Knop FK,
    4. Vilsbøll T
    : The role of glucagon in the pathophysiology and treatment of type 2 diabetes. Mayo Clin Proc 93(2): 217-239, 2018. DOI: 10.1016/j.mayocp.2017.12.003
    OpenUrlCrossRefPubMed
  33. ↵
    1. Knopp JL,
    2. Chase JG,
    3. Shaw GM
    : Increased insulin resistance in intensive care: longitudinal retrospective analysis of glycaemic control patients in a New Zealand ICU. Ther Adv Endocrinol Metab 12: 20420188211012144, 2021. DOI: 10.1177/20420188211012144
    OpenUrlCrossRefPubMed
  34. ↵
    1. Vidger AJ,
    2. Czosnowski QA
    : Outcomes and adverse effects of extremely high dose insulin infusions in ICU patients. J Crit Care 63: 62-67, 2021. DOI: 10.1016/j.jcrc.2021.01.015
    OpenUrlCrossRefPubMed
  35. ↵
    1. NICE-SUGAR Study Investigators
    : Hypoglycemia and risk of death in critically ill patients. N Engl J Med 367(12): 1108-1118, 2012. DOI: 10.1056/NEJMoa1204942
    OpenUrlCrossRefPubMed
  36. ↵
    1. Kalfon P,
    2. Le Manach Y,
    3. Ichai C,
    4. Bréchot N,
    5. Cinotti R,
    6. Dequin PF,
    7. Riu-Poulenc B,
    8. Montravers P,
    9. Annane D,
    10. Dupont H,
    11. Sorine M,
    12. Riou B, CGAO-REA Study Group
    : Severe and multiple hypoglycemic episodes are associated with increased risk of death in ICU patients. Crit Care 19(1): 153, 2015. DOI: 10.1186/s13054-015-0851-7
    OpenUrlCrossRefPubMed
  37. ↵
    1. Mendez Y,
    2. Surani S,
    3. Varon J
    : Diabetic ketoacidosis: Treatment in the intensive care unit or general medical/surgical ward? World J Diabetes 8(2): 40-44, 2017. DOI: 10.4239/wjd.v8.i2.40
    OpenUrlCrossRefPubMed
  38. ↵
    1. Eledrisi MS,
    2. Alshanti MS,
    3. Faiq Shah M,
    4. Brolosy B,
    5. Jaha N
    : Overview of the diagnosis and management of diabetic ketoacidosis. Am J Med Sci 331(5): 243-251, 2006. DOI: 10.1097/00000441-200605000-00002
    OpenUrlCrossRefPubMed
  39. ↵
    1. Feingold KR,
    2. Ahmed SF,
    3. Anawalt B
    1. Gosmanov AR,
    2. Gosmanova EO,
    3. Kitabchi AE
    : Hyperglycemic crises: Diabetic ketoacidosis and hyperglycemic hyperosmolar state. In: Endotext. Feingold KR, Ahmed SF, Anawalt B (eds.). South Dartmouth, MA, USA, MDText.com, Inc., 2000.
  40. ↵
    1. Yehia B,
    2. Epps K,
    3. Golden S
    : Diagnosis and management of diabetic ketoacidosis in adults. Hospital Physician 44(21-26), 2008.
  41. ↵
    1. Gangakhedkar GR
    : Diabetic Ketoacidosis and Intensive Care. JRIA 4(2): 29-31, 2020. DOI: 10.5005/jp-journals-10049-0072
    OpenUrlCrossRef
  42. ↵
    1. Pasquel FJ,
    2. Umpierrez GE
    : Hyperosmolar hyperglycemic state: a historic review of the clinical presentation, diagnosis, and treatment. Diabetes Care 37(11): 3124-3131, 2014. DOI: 10.2337/dc14-0984
    OpenUrlAbstract/FREE Full Text
  43. ↵
    1. Hassan EM,
    2. Mushtaq H,
    3. Mahmoud EE,
    4. Chhibber S,
    5. Saleem S,
    6. Issa A,
    7. Nitesh J,
    8. Jama AB,
    9. Khedr A,
    10. Boike S,
    11. Mir M,
    12. Attallah N,
    13. Surani S,
    14. Khan SA
    : Overlap of diabetic ketoacidosis and hyperosmolar hyperglycemic state. World J Clin Cases 10(32): 11702-11711, 2022. DOI: 10.12998/wjcc.v10.i32.11702
    OpenUrlCrossRefPubMed
  44. ↵
    1. Adeyinka A,
    2. Kondamudi NP
    : Hyperosmolar hyperglycemic syndrome. Treasure Island, FL, USA, StatPearls, 2025.
  45. ↵
    1. Aldhaeefi M,
    2. Aldardeer NF,
    3. Alkhani N,
    4. Alqarni SM,
    5. Alhammad AM,
    6. Alshaya AI
    : Updates in the management of hyperglycemic crisis. Front Clin Diabetes Healthc 2: 820728, 2022. DOI: 10.3389/fcdhc.2021.820728
    OpenUrlCrossRefPubMed
  46. ↵
    1. Rosager EV,
    2. Heltø ALK,
    3. Fox Maule CU,
    4. Friis-Hansen L,
    5. Petersen J,
    6. Nielsen FE,
    7. Haugaard SB,
    8. Gregersen R
    : Incidence and characteristics of the hyperosmolar hyperglycemic state: a Danish cohort study. Diabetes Care 47(2): 272-279, 2024. DOI: 10.2337/dc23-0988
    OpenUrlCrossRefPubMed
  47. ↵
    1. Liamis G,
    2. Liberopoulos E,
    3. Barkas F,
    4. Elisaf M
    : Diabetes mellitus and electrolyte disorders. World J Clin Cases 2(10): 488-496, 2014. DOI: 10.12998/wjcc.v2.i10.488
    OpenUrlCrossRefPubMed
  48. ↵
    1. Vanhaecke T,
    2. Perrier ET,
    3. Melander O
    : A Journey through the early evidence linking hydration to metabolic health. Ann Nutr Metab 76 Suppl 76(Suppl. 1): 4-9, 2020. DOI: 10.1159/000515021
    OpenUrlCrossRef
  49. ↵
    1. Sawalmeh WTM,
    2. Habarneh AFS,
    3. Batayneh MAA,
    4. Al-Masaeed RAM,
    5. Al-Rawashdeh BMA
    : Prevalence and associated factors of anemia in diabetic patients. IJSRM 12(06): 1056-1063, 2024. DOI: 10.18535/ijsrm/v12i06.mp01
    OpenUrlCrossRef
    1. COIITSS Study Investigators
    : Corticosteroid treatment and intensive insulin therapy for septic shock in adults: A randomized controlled trial. JAMA 303(4): 341-348, 2010. DOI: 10.1001/jama.2010.2
    OpenUrlCrossRefPubMed
  50. ↵
    1. American Diabetes Association
    : Standards of medical care in diabetes—2015 abridged for primary care providers. Clin Diabetes 33(2): 97-111, 2015. DOI:10.2337/diaclin.33.2.97
    OpenUrlFREE Full Text
  51. ↵
    1. Van Den Berghe G,
    2. Wilmer A,
    3. Hermans G,
    4. Meersseman W,
    5. Wouters PJ,
    6. Milants I,
    7. Van Wijngaerden E,
    8. Bobbaers H,
    9. Bouillon R
    : Intensive insulin therapy in the medical ICU. N Engl J Med 354(5): 449-461, 2006. DOI: 10.1056/NEJMoa052521
    OpenUrlCrossRefPubMed
    1. Gómez AM,
    2. Imitola Madero A,
    3. Henao Carrillo DC,
    4. Rondón M,
    5. Muñoz OM,
    6. Robledo MA,
    7. Rebolledo M,
    8. García Jaramillo M,
    9. León Vargas F,
    10. Umpierrez G
    : Hypoglycemia incidence and factors associated in a cohort of patients with type 2 diabetes hospitalized in general ward treated with basal bolus insulin regimen assessed by continuous glucose monitoring. J Diabetes Sci Technol 14(2): 233-239, 2020. DOI: 10.1177/1932296818823720
    OpenUrlCrossRefPubMed
    1. Sacco S,
    2. Foschi M,
    3. Ornello R,
    4. De Santis F,
    5. Pofi R,
    6. Romoli M
    : Prevention and treatment of ischaemic and haemorrhagic stroke in people with diabetes mellitus: a focus on glucose control and comorbidities. Diabetologia 67(7): 1192-1205, 2024. DOI: 10.1007/s00125-024-06146-z
    OpenUrlCrossRefPubMed
  52. ↵
    1. Feingold KR,
    2. Anawalt B,
    3. Blackman MR
    1. Dhatariya K,
    2. Umpierrez GE
    : Management of Diabetes and Hyperglycemia in Hospitalized Patients. In: Endotext. Feingold KR, Anawalt B, Blackman MR (eds). South Dartmouth, MA, USA, MDText.com, Inc., 2000.
  53. ↵
    1. Kelly JL
    : Continuous insulin infusion: when, where, and how? Diabetes Spectr 27(3): 218-223, 2014. DOI: 10.2337/diaspect.27.3.218
    OpenUrlFREE Full Text
  54. ↵
    57th EASD annual meeting of the European association for the study of diabetes. Diabetologia 64(Suppl 1): 1-380, 2021. DOI: 10.1007/s00125-021-05519-y
    OpenUrlCrossRefPubMed
  55. ↵
    1. Mårtensson J,
    2. Egi M,
    3. Bellomo R
    : Blood glucose control in critical care. In: Critical care nephrology. Elsevier, pp. 464-469.e462, 2019. DOI: 10.1016/B978-0-323-44942-7.00079-0
    OpenUrlCrossRef
  56. ↵
    1. Sacks DB,
    2. Arnold M,
    3. Bakris GL,
    4. Bruns DE,
    5. Horvath AR,
    6. Lernmark Å,
    7. Metzger BE,
    8. Nathan DM,
    9. Kirkman MS
    : Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus. Diabetes Care 46(10): e151-e199, 2023. DOI: 10.2337/dci23-0036
    OpenUrlCrossRefPubMed
  57. ↵
    1. Cryer PE,
    2. Polonsky K
    : Glucose homeostasis and hypoglycemia. In: Williams textbook of endocrinology. Vol. 88. Amsterdam, the Netherlands, Elsevier, pp. 1589-1590, 2008.
    1. Moghissi ES,
    2. Korytkowski MT,
    3. DiNardo M,
    4. Einhorn D,
    5. Hellman R,
    6. Hirsch IB,
    7. Inzucchi SE,
    8. Ismail-Beigi F,
    9. Kirkman MS,
    10. Umpierrez GE, American Association of Clinical Endocrinologists, American Diabetes Association
    : American Association of Clinical Endocrinologists and American Diabetes Association consensus statement on inpatient glycemic control. Diabetes Care 32(6): 1119-1131, 2009. DOI: 10.2337/dc09-9029
    OpenUrlFREE Full Text
  58. ↵
    1. Korytkowski MT,
    2. Muniyappa R,
    3. Antinori-Lent K,
    4. Donihi AC,
    5. Drincic AT,
    6. Hirsch IB,
    7. Luger A,
    8. McDonnell ME,
    9. Murad MH,
    10. Nielsen C,
    11. Pegg C,
    12. Rushakoff RJ,
    13. Santesso N,
    14. Umpierrez GE
    : Management of hyperglycemia in hospitalized adult patients in non-critical care settings: an endocrine society clinical practice guideline. J Clin Endocrinol Metab 107(8): 2101-2128, 2022. DOI: 10.1210/clinem/dgac278
    OpenUrlCrossRefPubMed
  59. ↵
    1. Qaseem A,
    2. Humphrey LL,
    3. Chou R,
    4. Snow V,
    5. Shekelle P, Clinical Guidelines Committee of the American College of Physicians
    : Use of intensive insulin therapy for the management of glycemic control in hospitalized patients: a clinical practice guideline from the American College of Physicians. Ann Intern Med 154(4): 260-267, 2011. DOI: 10.7326/0003-4819-154-4-201102150-00007
    OpenUrlCrossRefPubMed
    1. Lazar HL,
    2. McDonnell M,
    3. Chipkin SR,
    4. Furnary AP,
    5. Engelman RM,
    6. Sadhu AR,
    7. Bridges CR,
    8. Haan CK,
    9. Svedjeholm R,
    10. Taegtmeyer H,
    11. Shemin RJ
    : The Society of Thoracic Surgeons Practice Guideline Series: Blood glucose management during adult cardiac surgery. Ann Thorac Surg 87(2): 663-669, 2009. DOI: 10.1016/j.athoracsur.2008.11.011
    OpenUrlCrossRefPubMed
    1. Jacobi J,
    2. Bircher N,
    3. Krinsley J,
    4. Agus M,
    5. Braithwaite SS,
    6. Deutschman C,
    7. Freire AX,
    8. Geehan D,
    9. Kohl B,
    10. Nasraway SA,
    11. Rigby M,
    12. Sands K,
    13. Schallom L,
    14. Taylor B,
    15. Umpierrez G,
    16. Mazuski J,
    17. Schunemann H
    : Guidelines for the use of an insulin infusion for the management of hyperglycemia in critically ill patients. Crit Care Med 40(12): 3251-3276, 2012. DOI: 10.1097/CCM.0b013e3182653269
    OpenUrlCrossRefPubMed
  60. ↵
    1. Honarmand K,
    2. Sirimaturos M,
    3. Hirshberg EL,
    4. Bircher NG,
    5. Agus MSD,
    6. Carpenter DL,
    7. Downs CR,
    8. Farrington EA,
    9. Freire AX,
    10. Grow A,
    11. Irving SY,
    12. Krinsley JS,
    13. Lanspa MJ,
    14. Long MT,
    15. Nagpal D,
    16. Preiser JC,
    17. Srinivasan V,
    18. Umpierrez GE,
    19. Jacobi J
    : Society of critical care medicine guidelines on glycemic control for critically ill children and adults 2024. Crit Care Med 52(4): e161-e181, 2024. DOI: 10.1097/CCM.0000000000006174
    OpenUrlCrossRefPubMed
  61. ↵
    1. American Diabetes Association Professional Practice Committee
    : 16. Diabetes Care in the Hospital: Standards of Care in Diabetes-2025. Diabetes Care 48(Supplement_1): S321-S334, 2025. DOI: 10.2337/dc25-S016
    OpenUrlCrossRefPubMed
  62. ↵
    1. Huang M,
    2. Yang R,
    3. Pang D,
    4. Gan X
    : Insulin infusion protocols for blood glucose management in critically ill patients: a scoping review. Crit Care Nurse 44(1): 21-32, 2024. DOI: 10.4037/ccn2024427
    OpenUrlCrossRef
  63. ↵
    1. Roth J,
    2. Sommerfeld O,
    3. Birkenfeld AL,
    4. Sponholz C,
    5. Müller UA,
    6. von Loeffelholz C, Interdisciplinary Diabetes and Nutrition in Operative Intensive Care Medicine Competence Group
    : Blood Sugar targets in surgical intensive care—management and special considerations in patients with diabetes. Dtsch Arztebl Int 118(38): 629-636, 2021. DOI: 10.3238/arztebl.m2021.0221
    OpenUrlCrossRefPubMed
  64. ↵
    1. Steil GM,
    2. Deiss D,
    3. Shih J,
    4. Buckingham B,
    5. Weinzimer S,
    6. Agus MS
    : Intensive care unit insulin delivery algorithms: why so many? How to choose? J Diabetes Sci Technol 3(1): 125-140, 2009. DOI: 10.1177/193229680900300114
    OpenUrlCrossRefPubMed
  65. ↵
    1. Wu Z,
    2. Liu J,
    3. Zhang D,
    4. Kang K,
    5. Zuo X,
    6. Xu Q,
    7. Pan A,
    8. Fang W,
    9. Liu F,
    10. Shang Y,
    11. Yin H,
    12. Hu J,
    13. Liu J,
    14. Fu J,
    15. Zhang W,
    16. Zong Y,
    17. Shao M,
    18. Zhao F,
    19. Meng M,
    20. Mao Y,
    21. Li Y,
    22. Chen D
    : Expert consensus on the glycemic management of critically ill patients. J Intensive Med 2(3): 131-145, 2022. DOI: 10.1016/j.jointm.2022.06.001
    OpenUrlCrossRefPubMed
  66. ↵
    1. Shetty S,
    2. Inzucchi SE,
    3. Goldberg PA,
    4. Cooper D,
    5. Siegel MD,
    6. Honiden S
    : Adapting to the new consensus guidelines for managing hyperglycemia during critical illness: the updated Yale insulin infusion protocol. Endocr Pract 18(3): 363-370, 2012. DOI: 10.4158/ep11260.Or
    OpenUrlCrossRefPubMed
    1. Daina LG,
    2. Neamtu C,
    3. Daina CM
    : Evaluating the analgesic consumption in a clinical emergency hospital. Farmacia 65(3): 360-367, 2017.
    OpenUrl
    1. Dogra P,
    2. Anastasopoulou C,
    3. Jialal I
    : Diabetic perioperative management. Treasure Island, FL, USA, StatPearls Publishing, 2025.
    1. Juneja D,
    2. Deepak D,
    3. Nasa P
    : What, why and how to monitor blood glucose in critically ill patients. World J Diabetes 14(5): 528-538, 2023. DOI: 10.4239/wjd.v14.i5.528
    OpenUrlCrossRefPubMed
  67. ↵
    1. Agarwal S,
    2. Mathew J,
    3. Davis GM,
    4. Shephardson A,
    5. Levine A,
    6. Louard R,
    7. Urrutia A,
    8. Perez-Guzman C,
    9. Umpierrez GE,
    10. Peng L,
    11. Pasquel FJ
    : Continuous glucose monitoring in the intensive care unit during the COVID-19 pandemic. Diabetes Care 44(3): 847-849, 2021. DOI: 10.2337/dc20-2219
    OpenUrlAbstract/FREE Full Text
  68. ↵
    1. Inoue S,
    2. Egi M,
    3. Kotani J,
    4. Morita K
    : Accuracy of blood-glucose measurements using glucose meters and arterial blood gas analyzers in critically ill adult patients: systematic review. Crit Care 17(2): R48, 2013. DOI: 10.1186/cc12567
    OpenUrlCrossRefPubMed
  69. ↵
    1. Feingold KR,
    2. Anawalt B,
    3. Blackman MR
    1. Reddy N,
    2. Verma N,
    3. Dungan K
    : Monitoring Technologies-Continuous Glucose Monitoring, Mobile Technology, Biomarkers of Glycemic Control. In: Endotext. Feingold KR, Anawalt B, Blackman MR (eds). South Dartmouth, MA, USA, MDText.com, Inc., 2000.
  70. ↵
    1. Guan Z,
    2. Li H,
    3. Liu R,
    4. Cai C,
    5. Liu Y,
    6. Li J,
    7. Wang X,
    8. Huang S,
    9. Wu L,
    10. Liu D,
    11. Yu S,
    12. Wang Z,
    13. Shu J,
    14. Hou X,
    15. Yang X,
    16. Jia W,
    17. Sheng B
    : Artificial intelligence in diabetes management: Advancements, opportunities, and challenges. Cell Rep Med 4(10): 101213, 2023. DOI: 10.1016/j.xcrm.2023.101213
    OpenUrlCrossRef
    1. Jung HH,
    2. Lee H,
    3. Yea J,
    4. Jang KI
    : Wearable electrochemical sensors for real-time monitoring in diabetes mellitus and associated complications. Soft Sci 4(2): 15, 2024. DOI: 10.20517/ss.2024.02
    OpenUrlCrossRef
  71. ↵
    1. Jin X,
    2. Cai A,
    3. Xu T,
    4. Zhang X
    : Artificial intelligence biosensors for continuous glucose monitoring. Interdisc Mater 2(2): 290-307, 2023. DOI: 10.1002/idm2.12069
    OpenUrlCrossRef
  72. ↵
    1. Ling Y,
    2. Li X,
    3. Gao X
    : Intensive versus conventional glucose control in critically ill patients: A meta-analysis of randomized controlled trials. Eur J Intern Med 23(6): 564-574, 2012. DOI: 10.1016/j.ejim.2012.02.013
    OpenUrlCrossRefPubMed
  73. ↵
    1. Yamada T,
    2. Shojima N,
    3. Noma H,
    4. Yamauchi T,
    5. Kadowaki T
    : Glycemic control, mortality, and hypoglycemia in critically ill patients: a systematic review and network meta-analysis of randomized controlled trials. Intensive Care Med 43(1): 1-15, 2017. DOI: 10.1007/s00134-016-4523-0
    OpenUrlCrossRefPubMed
  74. ↵
    1. Bohé J,
    2. Abidi H,
    3. Brunot V,
    4. Klich A,
    5. Klouche K,
    6. Sedillot N,
    7. Tchenio X,
    8. Quenot JP,
    9. Roudaut JB,
    10. Mottard N,
    11. Thiollière F,
    12. Dellamonica J,
    13. Wallet F,
    14. Souweine B,
    15. Lautrette A,
    16. Preiser JC,
    17. Timsit JF,
    18. Vacheron CH,
    19. Ait Hssain A,
    20. Maucort-Boulch D, CONTROLe INdividualisé de la Glycémie (CONTROLING) Study Group
    : Individualised versus conventional glucose control in critically-ill patients: the CONTROLING study-a randomized clinical trial. Intensive Care Med 47(11): 1271-1283, 2021. DOI: 10.1007/s00134-021-06526-8
    OpenUrlCrossRefPubMed
  75. ↵
    1. Krinsley JS,
    2. Egi M,
    3. Kiss A,
    4. Devendra AN,
    5. Schuetz P,
    6. Maurer PM,
    7. Schultz MJ,
    8. van Hooijdonk RT,
    9. Kiyoshi M,
    10. Mackenzie IM,
    11. Annane D,
    12. Stow P,
    13. Nasraway SA,
    14. Holewinski S,
    15. Holzinger U,
    16. Preiser JC,
    17. Vincent JL,
    18. Bellomo R
    : Diabetic status and the relation of the three domains of glycemic control to mortality in critically ill patients: an international multicenter cohort study. Crit Care 17(2): R37, 2013. DOI: 10.1186/cc12547
    OpenUrlCrossRefPubMed
    1. NICE-SUGAR Study Investigators
    : Intensive versus conventional glucose control in critically ill patients. N Engl J Med 360(13): 1283-1297, 2009. DOI: 10.1056/NEJMoa0810625
    OpenUrlCrossRefPubMed
  76. ↵
    1. Gupta M,
    2. Gupta T,
    3. Gupta T
    : Physician-visit frequency and its impact on glycemic control in people with type 2 diabetes: quantifying care acceptance parameters from retrospective electronic health record data. Cureus 16(12): e76527, 2024. DOI: 10.7759/cureus.76527
    OpenUrlCrossRefPubMed
  77. ↵
    1. Baranov D,
    2. Neligan P
    : Trauma and aggressive homeostasis management. Anesthesiol Clin 25(1): 49-63, 2007. DOI: 10.1016/j.atc.2006.11.003
    OpenUrlCrossRefPubMed
PreviousNext
Back to top

In this issue

In Vivo: 40 (1)
In Vivo
Vol. 40, Issue 1
January-February 2026
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
  • Ed Board (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on In Vivo.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Hyperglycemia in Critically Ill Patients: Current Approaches and Management Strategies
(Your Name) has sent you a message from In Vivo
(Your Name) thought you would like to see the In Vivo web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
2 + 5 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Hyperglycemia in Critically Ill Patients: Current Approaches and Management Strategies
MĂDĂLINA DIANA DAINA, COSMIN MIHAI VESA, TIMEA CLAUDIA GHITEA, CAMELIA FLORINA IOVA, MIHAELA GABRIELA BONȚEA, FEHÉR LÁSZLÓ, CRISTIAN MARIUS DAINA
In Vivo Jan 2026, 40 (1) 583-599; DOI: 10.21873/invivo.14223

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Reprints and Permissions
Share
Hyperglycemia in Critically Ill Patients: Current Approaches and Management Strategies
MĂDĂLINA DIANA DAINA, COSMIN MIHAI VESA, TIMEA CLAUDIA GHITEA, CAMELIA FLORINA IOVA, MIHAELA GABRIELA BONȚEA, FEHÉR LÁSZLÓ, CRISTIAN MARIUS DAINA
In Vivo Jan 2026, 40 (1) 583-599; DOI: 10.21873/invivo.14223
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Methods
    • Pathophysiology of Hyperglycemia in Critically Ill Patients
    • Hyperglycemia in Diabetic ICU Patients
    • Hyperglycemia in Non-diabetic ICU Patients
    • Glycemic Management in ICU
    • Glucose Monitoring in ICU
    • Conclusion
    • Acknowledgements
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • Pain in Children With ADHD: Mechanisms, Clinical Presentation, and Implications for Assessment and Management
  • The Role of Irisin and Physical Activity in Breast Cancer
  • Lymphocytes and their Involvement in the Foreign Body Response to Biomaterials and Tissue Repair
Show more Review

Keywords

  • Hyperglycemia
  • critical illness
  • intensive care
  • diabetes mellitus
  • glucose monitoring
  • stress hyperglycemia
  • review
In Vivo

© 2026 In Vivo

Powered by HighWire