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Almagthali A, Alsohimi S, Alkhalaf A, Al Sulaiman K, Aljuhani O. Assessing glycemic variability in critically ill patients: A prospective cohort study comparing insulin infusion therapy with insulin sliding scale. Sci Rep 2024; 14:10128. [PMID: 38698018 PMCID: PMC11066101 DOI: 10.1038/s41598-024-57403-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 03/18/2024] [Indexed: 05/05/2024] Open
Abstract
Glycemic variability (GV) has been associated with an increased mortality rate among critically ill patients. The clinical outcomes of having less GV even with slight hyperglycemia are better than those having tight glycemic control but higher GV. Insulin infusion remains the preferred method to control stress hyperglycemia in critically ill patients. However, its impacts on GV and clinical outcomes in critically ill patients still need further investigation. This study intended to evaluate the impact of insulin infusion therapy (IIT) compared to the insulin sliding scale (ISS) on the extent of GV and explore its impact on the clinical outcomes for critically ill patients. A prospective, single-center observational cohort study was conducted at a tertiary academic hospital in Saudi Arabia between March 2021 and November 2021. The study included adult patients admitted to ICUs who received insulin for stress hyperglycemia management. Patients were categorized into two groups based on the regimen of insulin therapy during ICU stay (IIT versus ISS). The primary outcome was the GV between the two groups. Secondary outcomes were ICU mortality, the incidence of hypoglycemia, and ICU length of stay (LOS). A total of 381 patients were screened; out of them, eighty patients met the eligibility criteria. The distribution of patients having diabetes and a history of insulin use was similar between the two groups. The GV was lower in the IIT group compared to the ISS group using CONGA (- 0.65, 95% CI [- 1.16, - 0.14], p-value = 0.01). Compared with ISS, patients who received IIT had a lower incidence of hypoglycemia that required correction (6.8% vs 2.77%; p-value = 0.38). In contrast, there were no significant differences in ICU LOS and ICU mortality between the two groups. Our study demonstrated that the IIT is associated with decreased GV significantly in critically ill patients without increasing the incidence of severe hypoglycemia. There is no survival benefit with the use of the IIT. Further studies with larger sample size are required to confirm our findings and elaborate on IIT's potential effect in reducing ICU complications in critically ill patients.
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Affiliation(s)
- Alaa Almagthali
- Pharmaceutical Care Department, King Abdulaziz University Hospital, Jeddah, Saudi Arabia.
| | - Samiah Alsohimi
- Pharmaceutical Care Department, King Abdulaziz University Hospital, Jeddah, Saudi Arabia
- Pharmaceutical Care Department, King Fahad Armed Forces hospital, Jeddah, Saudi Arabia
| | - Arwa Alkhalaf
- Measurement and Psychometrics, Psychology Department, Faculty of Graduate Educational Studies, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Khalid Al Sulaiman
- Pharmaceutical Care Department, King Abdulaziz Medical City, Riyadh, Saudi Arabia
- College of Pharmacy, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center-King Saud Bin Abdulaziz University for Health Sciences, Ministry of National Guard-Health Affairs, Riyadh, Saudi Arabia
- Saudi Critical Care Pharmacy Research (SCAPE) Platform, Riyadh, Saudi Arabia
- Saudi Society for Multidisciplinary Research Development and Education (SCAPE Society), Riyadh, Saudi Arabia
| | - Ohoud Aljuhani
- Department of Pharmacy Practice, Faculty of Pharmacy, King Abdulaziz University, Jeddah, Saudi Arabia
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Boschi E, Friedman G, Moraes RB. Effects of Glycemic Variability in Critically Ill Patients with Coronavirus Disease 2019: A Retrospective Observational Study. Indian J Crit Care Med 2024; 28:381-386. [PMID: 38585321 PMCID: PMC10998520 DOI: 10.5005/jp-journals-10071-24688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Accepted: 03/05/2024] [Indexed: 04/09/2024] Open
Abstract
Aim and background Hyperglycemia is considered an adaptive metabolic manifestation of stress and is associated with poor outcomes. Herein, we analyzed the association between glycemic variability (GV) and hospital mortality in patients with coronavirus disease 2019 (COVID-19) admitted to the intensive care unit (ICU), and the association between GV and mechanical ventilation (MV), ICU stay, length of hospital stays, renal replacement therapy (RRT), hypoglycemia, nosocomial infections, insulin use, and corticosteroid class. Materials and methods In this retrospective observational study, we collected information on blood glucose levels during the first 10 days of hospitalization in a cohort of ICU patients with COVID-19 and its association with outcomes. Results In 239 patients, an association was observed between GV and hospital mortality between the first and last quartiles among patients without diabetes [odds ratio (OR), 3.78; confidence interval, 1.24-11.5]. A higher GV was associated with a greater need for RRT (p = 0.002), regular insulin (p < 0.001), and episodes of hypoglycemia (p < 0.001). Nosocomial infections were associated with intermediate GV quartiles (p = 0.02). The corticosteroid class had no association with GV (p = 0.21). Conclusion Glycemic variability was associated with high mortality in patients with COVID-19 and observed in the subgroup of patients without diabetes. Clinical significance Glycemic control in critically ill patients remains controversial and hyperglycemia is associated with worse outcomes. Diabetes mellitus (DM) is one of the most prevalent comorbidities in patients with COVID-19. In addition, they require corticosteroids due to pulmonary involvement, representing a challenge and an opportunity to better understand how glycemic changes can influence the outcome of these patients. How to cite this article Boschi E, Friedman G, Moraes RB. Effects of Glycemic Variability in Critically Ill Patients with Coronavirus Disease 2019: A Retrospective Observational Study. Indian J Crit Care Med 2024;28(4):381-386.
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Affiliation(s)
- Emerson Boschi
- Hospital Geral de Caxias do Sul, Postgraduate Program in Pneumological Sciences of Universidade Federal do Rio Grande do Sul (UFRGS); (RS, Brazil)
| | - Gilberto Friedman
- Programa de Pos-graduacao em Ciencias Pneumologicas, Universidade Federal do Rio Grande do Sul – School of Medicine, Porto Alegre, Rio Grande do Sul, Brazil
| | - Rafael B Moraes
- Intensive Care Unit, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
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van Herpt TTW, van Rosmalen F, Hulsewé HPMG, van der Horst-Schrivers ANA, Driessen M, Jetten R, Zelis N, de Galan BE, van Kuijk SMJ, van der Horst ICC, van Bussel BCT. Hyperglycemia and glucose variability are associated with worse survival in mechanically ventilated COVID-19 patients: the prospective Maastricht Intensive Care Covid Cohort. Diabetol Metab Syndr 2023; 15:253. [PMID: 38057908 DOI: 10.1186/s13098-023-01228-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 11/22/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND Data on hyperglycemia and glucose variability in relation to diabetes mellitus, either known or unknown in ICU-setting in COVID-19, are scarce. We prospectively studied daily glucose variables and mortality in strata of diabetes mellitus and glycosylated hemoglobin among mechanically ventilated COVID-19 patients. METHODS We used linear-mixed effect models in mechanically ventilated COVID-19 patients to investigate mean and maximum difference in glucose concentration per day over time. We compared ICU survivors and non-survivors and tested for effect-modification by pandemic wave 1 and 2, diabetes mellitus, and admission HbA1c. RESULTS Among 232 mechanically ventilated COVID-19 patients, 21.1% had known diabetes mellitus, whereas 16.9% in wave 2 had unknown diabetes mellitus. Non-survivors had higher mean glucose concentrations (ß 0.62 mmol/l; 95%CI 0.20-1.06; ß 11.2 mg/dl; 95% CI 3.6-19.1; P = 0.004) and higher maximum differences in glucose concentrations per day (ß 0.85 mmol/l; 95%CI 0.37-1.33; ß 15.3; 95%CI 6.7-23.9; P = 0.001). Effect modification by wave, history of diabetes mellitus and admission HbA1c in associations between glucose and survival was not present. Effect of higher mean glucose concentrations was modified by pandemic wave (wave 1 (ß 0.74; 95% CI 0.24-1.23 mmol/l) ; (ß 13.3; 95%CI 4.3-22.1 mg/dl)) vs. (wave 2 (ß 0.37 (95%CI 0.25-0.98) mmol/l) (ß 6.7 (95% ci 4.5-17.6) mg/dl)). CONCLUSIONS Hyperglycemia and glucose variability are associated with mortality in mechanically ventilated COVID-19 patients irrespective of the presence of diabetes mellitus.
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Affiliation(s)
- Thijs T W van Herpt
- Department of Intensive Care Medicine, Maastricht University Medical Centre +, Debyelaan 25, 6229 HX, Maastricht, the Netherlands.
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.
| | - Frank van Rosmalen
- Department of Intensive Care Medicine, Maastricht University Medical Centre +, Debyelaan 25, 6229 HX, Maastricht, the Netherlands
| | - Hendrica P M G Hulsewé
- Department of Intensive Care Medicine, Maastricht University Medical Centre +, Debyelaan 25, 6229 HX, Maastricht, the Netherlands
| | - Anouk N A van der Horst-Schrivers
- Department of Emergency Medicine, Maastricht University Medical Centre +, Maastricht, The Netherlands
- Department of Endocrinology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Mariëlle Driessen
- Department of Intensive Care Medicine, Maastricht University Medical Centre +, Debyelaan 25, 6229 HX, Maastricht, the Netherlands
| | - Robin Jetten
- Department of Intensive Care Medicine, Maastricht University Medical Centre +, Debyelaan 25, 6229 HX, Maastricht, the Netherlands
| | - Noortje Zelis
- Department of Internal Medicine, Maastricht University Medical Centre +, Maastricht, The Netherlands
| | - Bastiaan E de Galan
- Department of Endocrinology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Sander M J van Kuijk
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Iwan C C van der Horst
- Department of Intensive Care Medicine, Maastricht University Medical Centre +, Debyelaan 25, 6229 HX, Maastricht, the Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Bas C T van Bussel
- Department of Intensive Care Medicine, Maastricht University Medical Centre +, Debyelaan 25, 6229 HX, Maastricht, the Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands
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Réa RR, Bernardelli RS, Kozesinski-Nakatani AC, Olandoski M, Martins-Junior MJ, Oliveira MC, Réa-Neto Á. Dysglycemias in patients admitted to ICUs with severe acute respiratory syndrome due to COVID-19 versus other causes - a cohort study. BMC Pulm Med 2023; 23:173. [PMID: 37193970 DOI: 10.1186/s12890-023-02439-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 04/17/2023] [Indexed: 05/18/2023] Open
Abstract
BACKGROUND Dysglycemias have been associated with worse prognosis in critically ill patients with COVID-19, but data on the association of dysglycemia with COVID-19 in comparison with other forms of severe acute respiratory syndrome are lacking. This study aimed to compare the occurrence of different glycemic abnormalities in patients with severe acute respiratory syndrome and COVID-19 admitted to intensive care units versus glycemic abnormalities in patients with severe acute respiratory syndrome from other causes, to evaluate the adjusted attributable risk associated with COVID-19 and dysglycemia and to assess the influence of these dysglycemias on mortality. METHODS We conducted a retrospective cohort of consecutive patients with severe acute respiratory syndrome and suspected COVID-19 hospitalized in intensive care units between March 11 and September 13, 2020, across eight hospitals in Curitiba-Brazil. The primary outcome was the influence of COVID-19 on the variation of the following parameters of dysglycemia: highest glucose level at admission, mean and highest glucose levels during ICU stay, mean glucose variability, percentage of days with hyperglycemia, and hypoglycemia during ICU stay. The secondary outcome was the influence of COVID-19 and each of the six parameters of dysglycemia on hospital mortality within 30 days from ICU admission. RESULTS The sample consisted of 841 patients, of whom 703 with and 138 without COVID-19. Comparing patients with and without COVID-19, those with COVID-19 had significantly higher glucose peaks at admission (165 mg/dL vs. 146 mg/dL; p = 0.002) and during ICU stay (242 mg/dL vs. 187md/dL; p < 0.001); higher mean daily glucose (149.7 mg/dL vs. 132.6 mg/dL; p < 0.001); higher percentage of days with hyperglycemia during ICU stay (42.9% vs. 11.1%; p < 0.001); and greater mean glucose variability (28.1 mg/dL vs. 25.0 mg/dL; p = 0.013). However, these associations were no longer statistically significant after adjustment for Acute Physiology and Chronic Health Evaluation II scores, Sequential Organ Failure Assessment scores, and C-reactive protein level, corticosteroid use and nosocomial infection. Dysglycemia and COVID-19 were each independent risk factors for mortality. The occurrence of hypoglycemia (< 70 mg/dL) during ICU stay was not associated with COVID-19. CONCLUSION Patients with severe acute respiratory syndrome due to COVID-19 had higher mortality and more frequent dysglycemia than patients with severe acute respiratory syndrome due to other causes. However, this association did not seem to be directly related to the SARS-CoV-2 infection.
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Affiliation(s)
- Rosângela Roginski Réa
- Internal Medicine Department, Endocrine Division (SEMPR), Federal University of Paraná, Curitiba, Paraná, Brazil
| | - Rafaella Stradiotto Bernardelli
- Center for Studies and Research in Intensive Care Medicine (CEPETI), 366 Monte Castelo Street, Curitiba, Paraná, 82590-300, Brazil
- School of Medicine and Life Sciences, Pontifical Catholic University of Paraná, Curitiba, Paraná, Brazil
| | - Amanda Christina Kozesinski-Nakatani
- Center for Studies and Research in Intensive Care Medicine (CEPETI), 366 Monte Castelo Street, Curitiba, Paraná, 82590-300, Brazil
- ICU Department, Hospital Santa Casa de Curitiba, Curitiba, Paraná, Brazil
| | - Marcia Olandoski
- School of Medicine and Life Sciences, Pontifical Catholic University of Paraná, Curitiba, Paraná, Brazil
| | - Marcelo José Martins-Junior
- Center for Studies and Research in Intensive Care Medicine (CEPETI), 366 Monte Castelo Street, Curitiba, Paraná, 82590-300, Brazil
| | - Mirella Cristine Oliveira
- Center for Studies and Research in Intensive Care Medicine (CEPETI), 366 Monte Castelo Street, Curitiba, Paraná, 82590-300, Brazil
- ICU Department, Complexo Hospitalar do Trabalhador (CHT), Curitiba, Paraná, Brazil
| | - Álvaro Réa-Neto
- Internal Medicine Department, Endocrine Division (SEMPR), Federal University of Paraná, Curitiba, Paraná, Brazil.
- Center for Studies and Research in Intensive Care Medicine (CEPETI), 366 Monte Castelo Street, Curitiba, Paraná, 82590-300, Brazil.
- Internal Medicine Department, Federal University of Paraná, Curitiba, Paraná, Brazil.
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Zhou J, Wei XC, Xu HY, Hu HB, Li FX, Zhou WJ, Chen Y, Liu Z. Blood glucose levels and the risk of HPV multiple infections in high-grade squamous intraepithelial lesions: A retrospective cross-sectional study of Chinese patients. Medicine (Baltimore) 2022; 101:e30494. [PMID: 36123844 PMCID: PMC9478326 DOI: 10.1097/md.0000000000030494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Besides the controversy of the association of high glycemic index and glycemic load with precancerous cervical lesions, only a few studies have examined the impact of fasting blood glucose levels on human papillomavirus (HPV) multiple infections. In the present study, we appraised the relationship between blood glucose levels and multiple HPV infections in a population of HPV-positive women with cervical high-grade squamous intraepithelial lesions (HSIL). The present study was designed as a cross-sectional correlative analysis. A total of 560 participants with a pathologically confirmed HSIL with HPV infection were included from a hospital in China during January 1, 2018, and December 31, 2019. The target variables and the outcome variables were the glucose levels at the baseline and HPV multiplicity, respectively. The odds ratio and 95% confidence intervals were calculated to estimate the risk of multiple infections via logistic regression analysis. The average age of the 560 participants was 44.63 ± 10.61 years; the nonlinear relationship was detected between the glucose levels and multiplicity of HPV, with an inflection point at 5.4. After adjusting for the full range of variables, the effect sizes and confidence intervals for the left and right sides of the inflection points were found to be 0.379 (0.196-0.732) and 5.083 (1.592-16.229), respectively. In this cross-sectional study, both high and low blood glucose levels increased the risk of multiple HPV infections, demonstrating a U-shaped relationship between the blood glucose levels and multiple HPV infections.
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Affiliation(s)
- Jie Zhou
- Jinan University, Guangzhou, Guangdong, China
| | - Xiang Cai Wei
- Jinan University, Guangzhou, Guangdong, China
- * Correspondence: Xiang Cai Wei, Jinan University, Guangzhou, Guangdong, China (e-mail: )
| | - Hong Yan Xu
- Department of gynecology, Yuebei People’s Hospital, Shaoguan, Guangdong, China
| | - Hong Bo Hu
- Department of gynecology, Yuebei People’s Hospital, Shaoguan, Guangdong, China
| | - Fan Xiang Li
- Department of gynecology, Yuebei People’s Hospital, Shaoguan, Guangdong, China
| | | | - Ye Chen
- Department of gynecology, Yuebei People’s Hospital, Shaoguan, Guangdong, China
| | - Zhen Liu
- Department of gynecology, Yuebei People’s Hospital, Shaoguan, Guangdong, China
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Li X, Zhang D, Chen Y, Ye W, Wu S, Lou L, Zhu Y. Acute glycemic variability and risk of mortality in patients with sepsis: a meta-analysis. Diabetol Metab Syndr 2022; 14:59. [PMID: 35461267 PMCID: PMC9034073 DOI: 10.1186/s13098-022-00819-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 03/19/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Acute glycemic variability (GV) has been correlated with the severity of sepsis. The aim of the study was to evaluate the potential association between acute GV and mortality risk in patients with sepsis. METHODS Cohort studies comparing the risk of death within 3 months between septic patients with higher versus lower acute GV were retrieved by systematic search of Medline, Embase, Web of Science, Wanfang and CNKI databases. We used a random-effect model to pool the data by incorporating the between-study heterogeneity. Sensitivity analyses were performed to evaluate the stability of the findings. RESULTS Ten studies including 4296 patients were available for the meta-analysis. Pooled results showed that septic patients with higher acute GV had significantly increased mortality risk compared to those with lower acute GV, as evidenced by results using different parameters including standard deviation of blood glucose (SDBG, risk ratio [RR]: 1.74, 95% confidence interval [CI] 1.36-2.24, p < 0.001; I2 = 0%), coefficient of variation of blood glucose (RR: 1.91, 95% CI 1.57-2.31, p < 0.001; I2 = 0%), mean amplitude of glycemic excursion (RR: 1.81. 95% CI 1.36-2.40, p < 0.001; I2 = 0%), and glycemic lability index (RR: 2.52, 95% CI 1.72-3.68, p < 0.001; I2 = 0%). Sensitivity analyses by excluding one study at a time did not significantly affect the results (p all < 0.05). CONCLUSIONS Higher acute GV may be a predictor of mortality risk in patients with sepsis.
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Affiliation(s)
- Xiaofei Li
- Department of Infectious Diseases, Yiwu Central Hospital, No. 519 Nanmen Street, Yiwu, 322000, Zhejiang, China.
| | - Daofu Zhang
- Department of Intensive Care Unit, Liaocheng Daochangfu People's Hospital, Liaocheng, 252000, China
| | - Yongxin Chen
- Department of Infectious Diseases, Yiwu Central Hospital, No. 519 Nanmen Street, Yiwu, 322000, Zhejiang, China
| | - Weiwei Ye
- Department of Infectious Diseases, Yiwu Central Hospital, No. 519 Nanmen Street, Yiwu, 322000, Zhejiang, China
| | - Shuang Wu
- Department of Infectious Diseases, Yiwu Central Hospital, No. 519 Nanmen Street, Yiwu, 322000, Zhejiang, China
| | - Lianqing Lou
- Department of Infectious Diseases, Yiwu Central Hospital, No. 519 Nanmen Street, Yiwu, 322000, Zhejiang, China
| | - Yanshuang Zhu
- Department of Infectious Diseases, Yiwu Central Hospital, No. 519 Nanmen Street, Yiwu, 322000, Zhejiang, China
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Pelle MC, Zaffina I, Provenzano M, Moirano G, Arturi F. COVID-19 and diabetes-Two giants colliding: From pathophysiology to management. Front Endocrinol (Lausanne) 2022; 13:974540. [PMID: 36060943 PMCID: PMC9437522 DOI: 10.3389/fendo.2022.974540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 08/01/2022] [Indexed: 01/08/2023] Open
Abstract
Since December 2019, a new coronavirus, called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread around the world, causing the coronavirus 2019 (COVID-19) pandemic. From the beginning, SARS-CoV-2 has put a strain on the health system. In fact, many patients have had severe forms of the disease with the need for hospitalization due to respiratory failure. To contain the pandemic, the most widely used approach has been lockdowns. Social restrictions have been reduced thanks to the development of vaccines and targeted therapies. However, fatal events still occur among people at high risk of serious infection, such as patients with concomitant diabetes. Different mechanisms have been proposed to explain the poor prognosis of patients with diabetes and COVID-19, but the specific cause is unclear. It is now known that insulin resistance, inflammation, and cytokine storm are involved. Moreover, SARS-CoV-2 uses the angiotensin-converting enzyme 2 receptors to enter cells. This receptor is expressed on pancreatic beta cells and, during infection, it appears that receptor involvement may induce hyperglycemia in patients with or without diabetes. In this study, we discuss the mechanisms underlying the poor prognosis in people with COVID-19 and diabetes and what may improve the outcome in these patients.
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Affiliation(s)
- Maria Chiara Pelle
- Department of Medical and Surgical Sciences, University ‘Magna Graecia’ of Catanzaro, Catanzaro, Italy
| | - Isabella Zaffina
- Department of Medical and Surgical Sciences, University ‘Magna Graecia’ of Catanzaro, Catanzaro, Italy
| | - Michele Provenzano
- Nephrology, Dialysis and Transplantation Unit, Department of Experimental, Diagnostic and Specialty Medicine (DIMES) Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Giovenale Moirano
- Department of Medical Sciences, University of Turin, CPO-Piemonte, Turin, Italy
| | - Franco Arturi
- Department of Medical and Surgical Sciences, University ‘Magna Graecia’ of Catanzaro, Catanzaro, Italy
- Research Center for the Prevention and Treatment of Metabolic Diseases (CR METDIS), University ‘Magna Graecia’ of Catanzaro, Catanzaro, Italy
- *Correspondence: Franco Arturi,
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Langouche L, Van den Berghe G, Gunst J. Hyperglycemia and insulin resistance in COVID-19 versus non-COVID critical illness: Are they really different? Crit Care 2021; 25:437. [PMID: 34920750 PMCID: PMC8680062 DOI: 10.1186/s13054-021-03861-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 12/08/2021] [Indexed: 02/06/2023] Open
Affiliation(s)
- Lies Langouche
- Clinical Department and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Greet Van den Berghe
- Clinical Department and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Jan Gunst
- Clinical Department and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.
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