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Li Y, Li W, Xu B. Between blood glucose and mortality in critically ill patients: Retrospective analysis of the MIMIC-IV database. J Diabetes Investig 2024; 15:931-938. [PMID: 38470005 PMCID: PMC11215680 DOI: 10.1111/jdi.14182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 02/21/2024] [Accepted: 02/26/2024] [Indexed: 03/13/2024] Open
Abstract
AIMS/INTRODUCTION Mean blood glucose (MBG) level is associated with mortality among critically ill patients. We undertook a cohort study to investigate the relationship between MBG and mortality in critically ill patients. MATERIALS AND METHODS Critically ill patients were enrolled from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. MBG was calculated to represent the overall glycemic status during intensive care unit (ICU) hospitalization, and a multivariate logistic regression determined the relationship between MBG and ICU mortality in different subgroups of critically ill patients. RESULTS A total of 8,973 patients were included in the study, 1,244 of whom died within 28 days, including 5,402 men and 3,571 women. Multivariate adjusted restricted cubic spline analyses suggested that the relationship between MBG and ICU mortality was a "J" shape. Logistic regression showed 28 day mortality in group 3 (glucose ≥10 mmol/L): the adjusted odds ratio was 2.06 (95% confidence interval 1.65-2.57). The results of subgroup analysis showed that hyperglycemia had a more significant impact on ICU mortality in patients without diabetes, hypoglycemia and liver disease, and the ICU mortality risk of non-diabetes patients was always higher than that of diabetes patients with the same hyperglycemia level. CONCLUSIONS Current evidence suggested a J-shaped relationship between MBG and mortality in critically ill patients.
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Affiliation(s)
- Yuanyuan Li
- Department of ICUJining No.1 People's HospitalJiningChina
| | - Wenqiang Li
- Department of ICUJining No.1 People's HospitalJiningChina
| | - Baocai Xu
- Department of urologyJining No.1 People's HospitalJiningChina
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Oreibi T, Alenezi F, Ahmed AM, Humaid FB, Sadat M, Tamim HM, Baseet FF, Naidu B, Arabi YM. Outcomes of patients admitted to the intensive care unit with community-acquired pneumonia in a tertiary care center in Riyadh, Saudi Arabia. Ann Thorac Med 2023; 18:206-210. [PMID: 38058784 PMCID: PMC10697301 DOI: 10.4103/atm.atm_49_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2003] [Revised: 05/01/2023] [Accepted: 08/01/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND Community-acquired pneumonia (CAP) is a leading cause of intensive care unit (ICU) morbidity and mortality. Despite extensive international epidemiological and clinical studies to improve those patients' outcomes, local statistics in Saudi Arabia are limited. The objective of this study is to describe the clinical characteristics and outcomes of patients admitted to the ICU with the diagnosis of CAP reflecting the experience of a tertiary center over an 18-year period. METHODS A retrospective cohort study included all consecutive adult ICU patients diagnosed with CAP between 1999 and 2017. Baseline demographics, patients' risk factors, and initial admission laboratory investigations were compared between survivors and nonsurvivors. A multivariate regression model was used to predict mortality. RESULTS During the study period, there were 3438 patients admitted to the ICU with CAP (median age 67 [Quartile 1, 3 (Q1, Q3) 51, 76] years) and 54.4% were males, of whom 1007 (29.2%) died. The survivors compared with nonsurvivors were younger (65 vs. 70 years), less likely to have chronic liver disease (2.4% vs. 10.5%), chronic renal failure (8.1% vs. 14.4%), and be immunocompromised (10.2% vs. 18.2%), and less frequently required mechanical ventilation or vasopressors (46.2% vs. 80.5% and 29.6% vs. 55.9%, respectively). Acute Physiology and Chronic Health Evaluation (APACHE) II score was significantly higher among nonsurvivors (median score 26 vs. 20) with a longer duration of mechanical ventilation and ICU stay. Using a multivariate regression model, age, APACHE II score, bilirubin level, vasopressors, and mechanical ventilation were significantly associated with increased mortality, while diabetes was associated with lower mortality. CONCLUSION Around one-third of patients admitted to the ICU with CAP died. Mortality was significantly associated with age, APACHE II score, vasopressor use, and mechanical ventilation. A comprehensive national registry is needed to enhance epidemiological data and to guide initiatives for improving CAP patients' outcomes.
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Affiliation(s)
- Talal Oreibi
- King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Farhan Alenezi
- King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Amjad M. Ahmed
- King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Felwa Bin Humaid
- King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Musharaf Sadat
- King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Hani Mohammed Tamim
- King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- American University of Beirut-Medical Center, Beirut, Lebanon
- College of Medicine, Alfaisal University, Riyadh, Saudi Arabia
| | - Faisal Fouad Baseet
- King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Brintha Naidu
- King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Yaseen M. Arabi
- King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
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Xia W, Li C, Kuang M, Wu Y, Xu L, Hu H. Predictive value of glycemic gap and stress glycemia ratio among critically ill patients with acute kidney injury: a retrospective analysis of the MIMIC-III database. BMC Nephrol 2023; 24:227. [PMID: 37528371 PMCID: PMC10394760 DOI: 10.1186/s12882-023-03278-z] [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: 08/03/2022] [Accepted: 07/21/2023] [Indexed: 08/03/2023] Open
Abstract
BACKGROUND AND AIMS Acute hyperglycemia has been identified as a risk factor for acute kidney injury occurrence and mortality in various diseases. The aim of the current study was to investigate the relationship between stress-induced hyperglycemia and adverse outcomes in critically ill patients with AKI. METHODS We extracted clinical data from Multiparameter Intelligent Monitoring in Intensive Care III version 1.4. Blood glucose and glycosylated hemoglobin during the first 24 h of ICU admission were used to calculate glycemic gap and stress hyperglycemia ratio (SHR). The outcomes included ICU mortality and need for renal replacement therapy. The association of the glycemic gap and SHR with outcomes were determined via logistic regression model and receiver-operating curves. The subgroup analysis of patients with and without diabetes was performed separately. RESULTS Higher glycemic gap and SHR were observed in patients who had increased need of RRT, higher mortality rates and longer ICU stay. Multivariate analysis demonstrated that higher glycemic gap (OR 1.01, 95%CI 1.00-1.02, P = 0.015), as well as SHR (OR 1.32; 95%CI 1.07-1.64, P = 0.009), were independently associated with ICU mortality after adjusting for potential covariates. In subgroup analysis, the association of glycemic gap and SHR were only significant in the non-diabetic population as for the outcome of ICU mortality (OR 2.25, 95%CI 1.64-3.08, P < 0.001 and OR 1.99; 95%CI 1.46-2.72, P < 0.001, respectively). CONCLUSIONS The glycemic gap and SHR might serve as a potential prognostic indicator of ICU mortality in critically ill patients with AKI, especially in the non-diabetic population.
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Affiliation(s)
- Wenkai Xia
- Department of Nephrology, Jiangyin People's Hospital Affiliated to Nantong University, 3 Yingrui Road, Jiangsu, 214400, Jiangyin, China
- Nephrologisches Zentrum, Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Chenyu Li
- Nephrologisches Zentrum, Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Meisi Kuang
- Nephrologisches Zentrum, Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Yu Wu
- Department of Nephrology, Jiangyin People's Hospital Affiliated to Nantong University, 3 Yingrui Road, Jiangsu, 214400, Jiangyin, China
| | - Lingyu Xu
- Department of Nephrology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Hong Hu
- Department of Nephrology, Jiangyin People's Hospital Affiliated to Nantong University, 3 Yingrui Road, Jiangsu, 214400, Jiangyin, China.
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Bellaver P, Schneider L, Schaeffer AF, Henrique LR, Camargo JL, Gerchman F, Leitão CB, Rech TH. Diabetes associates with mortality in critically ill patients with SARS-CoV-2 pneumonia: No diabetes paradox in COVID-19. Heliyon 2023; 9:e18554. [PMID: 37576227 PMCID: PMC10412986 DOI: 10.1016/j.heliyon.2023.e18554] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 07/14/2023] [Accepted: 07/20/2023] [Indexed: 08/15/2023] Open
Abstract
Background Diabetes mellitus (DM) is not associated with increased mortality in critically ill patients, a phenomenon known as the "diabetes paradox". However, DM is a risk factor for increased mortality in patients with COVID-19. This study aims to investigate the association of DM and stress-induced hyperglycemia at intensive care unit (ICU) with mortality in this population. Methods This is a retrospective study. Electronic medical records from patients admitted from March 2020 to September 2020 were reviewed. Primary outcome was mortality. Secondary outcomes were ICU and hospital mortality and stay, and need for mechanical ventilation and renal replacement therapy. Results 187 patients were included. Overall mortality was 43.2%, higher in patients with DM (55.7% vs. 34%; p = 0.007), even after adjustment for age, hypertension, and disease severity. When patients were separated into groups, named normoglycemia (without DM and glycemia ≤140 mg/dL), stress-induced hyperglycemia (without DM and glycemia >140 mg/dL), and DM (previous diagnosis or HbA1c ≥ 6.5%), the mortality rate was 25.8%, 37.3%, and 55.7%, respectively (p = 0.021). Mortality was higher in patients with higher glycemic variability. No statistical difference related to secondary outcomes was observed. Conclusions DM, hyperglycemia, and glycemic variability associated with increased mortality in critically ill patients with severe COVID-19, but did not increase the rates of other clinical outcomes. More than stress-induced hyperglycemia, DM was associated with mortality.
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Affiliation(s)
- Priscila Bellaver
- Graduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
- Intensive Care Unit, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
| | - Larissa Schneider
- School of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Ariell F. Schaeffer
- School of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Lilian Rodrigues Henrique
- Graduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Joíza Lins Camargo
- Graduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
- Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
- Diabetes and Metabolism Group, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
| | - Fernando Gerchman
- Graduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
- School of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
- Diabetes and Metabolism Group, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
| | - Cristiane B. Leitão
- Graduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
- School of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
- Diabetes and Metabolism Group, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
| | - Tatiana H. Rech
- Graduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
- Intensive Care Unit, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
- School of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
- Diabetes and Metabolism Group, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
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Concha-Velasco F, Moncada-Arias AG, Antich MK, Delgado-Flores CJ, Ramírez-Escobar C, Ochoa-Linares M, Velásquez-Cuentas L, Dueñas de la Cruz H, Loyola S. Factors Associated with COVID-19 Death in a High-Altitude Peruvian Setting during the First 14 Months of the Pandemic: A Retrospective Multicenter Cohort Study in Hospitalized Patients. Trop Med Infect Dis 2023; 8:133. [PMID: 36977134 PMCID: PMC10051565 DOI: 10.3390/tropicalmed8030133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 01/27/2023] [Accepted: 01/30/2023] [Indexed: 02/25/2023] Open
Abstract
Risk factors for COVID-19 death in high-altitude populations have been scarcely described. This study aimed to describe risk factors for COVID-19 death in three referral hospitals located at 3399 m in Cusco, Peru, during the first 14 months of the pandemic. A retrospective multicenter cohort study was conducted. A random sample of ~50% (1225/2674) of adult hospitalized patients who died between 1 March 2020 and 30 June 2021 was identified. Of those, 977 individuals met the definition of death by COVID-19. Demographic characteristics, intensive care unit (ICU) admission, invasive respiratory support (IRS), disease severity, comorbidities, and clinical manifestation at hospital admission were assessed as risk factors using Cox proportional-hazard models. In multivariable models adjusted by age, sex, and pandemic periods, critical disease (vs. moderate) was associated with a greater risk of death (aHR: 1.27; 95%CI: 1.14-1.142), whereas ICU admission (aHR: 0.39; 95%CI: 0.27-0.56), IRS (aHR: 0.37; 95%CI: 0.26-0.54), the ratio of oxygen saturation (ROX) index ≥ 5.3 (aHR: 0.87; 95%CI: 0.80-0.94), and the ratio of SatO2/FiO2 ≥ 122.6 (aHR: 0.96; 95%CI: 0.93-0.98) were associated with a lower risk of death. The risk factors described here may be useful in assisting decision making and resource allocation.
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Affiliation(s)
- Fátima Concha-Velasco
- Universidad Continental, Cusco 08000, Peru
- Dirección de Epidemiología e Investigación, Gerencia Regional de Salud (GERESA), Cusco 08200, Peru
| | - Ana G. Moncada-Arias
- Dirección de Epidemiología e Investigación, Gerencia Regional de Salud (GERESA), Cusco 08200, Peru
| | - María K. Antich
- Dirección de Epidemiología e Investigación, Gerencia Regional de Salud (GERESA), Cusco 08200, Peru
- Facultad de Medicina, Universidad Peruana Cayetano Heredia, Lima 150135, Peru
| | | | - Cesar Ramírez-Escobar
- Dirección de Epidemiología e Investigación, Gerencia Regional de Salud (GERESA), Cusco 08200, Peru
| | | | | | | | - Steev Loyola
- Facultad de Medicina, Universidad Peruana Cayetano Heredia, Lima 150135, Peru
- Doctorado en Medicina Tropical, Facultad de Medicina, Universidad de Cartagena, Cartagena de Indias 130014, Colombia
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Soto A, Quiñones-Laveriano DM, Azañero J, Chumpitaz R, Claros J, Salazar L, Rosales O, Nuñez L, Roca D, Alcantara A. Mortality and associated risk factors in patients hospitalized due to COVID-19 in a Peruvian reference hospital. PLoS One 2022; 17:e0264789. [PMID: 35235613 PMCID: PMC8890646 DOI: 10.1371/journal.pone.0264789] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 02/16/2022] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVES To determine the risk factors for in-hospital mortality in patients with COVID-19 from a Peruvian national hospital. METHODS Retrospective cohort study of medical records of patients with COVID-19 hospitalized at Hospital Nacional Hipólito Unanue (HNHU) during the months of April to August 2020. The dependent variable was in-hospital mortality. Independent variables included sociodemographic and clinical characteristics, physical examination findings, oxygen saturation (SaO2) at admission, treatment received during hospitalization and laboratory results at admission. A Cox regression model was used to evaluate the crude and adjusted hazard ratios for associated factors. RESULTS We included 1418 patients. Median age was 58 years (IQR 47-68 years) and 944 (66.6%) were male. The median length of hospitalization was 7 (4-13) days, and the mortality rate was 46%. The most frequent comorbidities were type 2 diabetes mellitus, hypertension, and obesity. In the adjusted analysis, mortality was associated with age (HR 1.02; 95%CI 1.02-1.03), history of surgery (HR 1.89; 95%CI 1.31-2.74), lower oxygen saturation at admission (HR 4.08; CI95% 2.72-8.05 for SaO2<70% compared to SaO2>94%), the presence of poor general condition (HR 1.81; 95% CI 1.29-2.53), altered state of consciousness (HR 1.58; 95%CI 1.18-2.11) and leukocyte levels (HR 1.01; 95%CI 1.00-1. 02). Treatment with ivermectin (HR 1.44; 95%CI 1.18-1.76) and azithromycin (HR 1.25; 95%CI 1.03-1.52) were associated with higher mortality. Treatment with corticosteroids at low to moderate doses was associated with lower mortality (HR 0.56 95%CI 0. 37-0. 86) in comparison to no steroid use. CONCLUSION A high mortality was found in our cohort. Low oxygen saturation at admission, age, and the presence of hematological and biochemical alterations were associated with higher mortality. The use of hydroxychloroquine, ivermectin or azithromycin was not useful and was probably associated with unfavorable outcomes. The use of corticosteroids at moderate doses was associated with lower mortality.
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Affiliation(s)
- Alonso Soto
- Instituto de Investigaciones en Ciencias Biomédicas (INICIB), Faculty of Medicine, Universidad Ricardo Palma, Lima, Peru
- Departament of Internal Medicine, Hospital Nacional Hipólito Unanue, Lima, Peru
| | - Dante M. Quiñones-Laveriano
- Instituto de Investigaciones en Ciencias Biomédicas (INICIB), Faculty of Medicine, Universidad Ricardo Palma, Lima, Peru
| | - Johan Azañero
- Departament of Internal Medicine, Hospital Nacional Hipólito Unanue, Lima, Peru
- Universidad Científica del Sur, Lima, Peru
| | - Rafael Chumpitaz
- Departament of Internal Medicine, Hospital Nacional Hipólito Unanue, Lima, Peru
| | - José Claros
- Departament of Internal Medicine, Hospital Nacional Hipólito Unanue, Lima, Peru
| | - Lucia Salazar
- Departament of Internal Medicine, Hospital Nacional Hipólito Unanue, Lima, Peru
| | - Oscar Rosales
- Departament of Internal Medicine, Hospital Nacional Hipólito Unanue, Lima, Peru
| | - Liz Nuñez
- Faculty of Medicine, Universidad Ricardo Palma, Lima, Peru
| | - David Roca
- Faculty of Medicine, Universidad Ricardo Palma, Lima, Peru
| | - Andres Alcantara
- Departament of Internal Medicine, Hospital Nacional Hipólito Unanue, Lima, Peru
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Rayyan-Assi H, Feldman B, Leventer-Roberts M, Akriv A, Raz I. The relationship between inpatient hyperglycaemia and mortality is modified by baseline glycaemic status. Diabetes Metab Res Rev 2021; 37:e3420. [PMID: 33137237 DOI: 10.1002/dmrr.3420] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 10/14/2020] [Accepted: 10/20/2020] [Indexed: 01/09/2023]
Abstract
AIMS There is a well-established association between inpatient hyperglycaemia and mortality. However, evidence is inconsistent regarding whether this association is differential among those with and without type 2 diabetes mellitus (T2DM). Most studies are based on convenience samples or are unable to adjust for comorbidities. We examined whether the association between hyperglycaemia and 30-day mortality was modified by baseline glycaemic status. MATERIALS AND METHODS This was a retrospective cohort study of 174,671 eligible hospitalized individuals between 2012 and 2015. Thirty-day mortality was assessed during the first inpatient stay up to 30 days post discharge. The adjusted association between hyperglycaemia and mortality was assessed with logistic regression models. Then, four interaction terms were entered into the model to assess if the association between hyperglycaemia and mortality differed by baseline glycaemic status. RESULTS The multivariate model demonstrated a 2.18-fold risk of mortality associated with hyperglycaemia (odds ratio [OR] [95%CI]: 2.19 [2.08-2.31]). Adding the interaction terms between hyperglycaemia and baseline glycaemic status the ORs of 30-day mortality were 1.41 (1.25-1.60) in non-T2DM status, 1.32 (1.16-1.51) in pre-diabetes status and 1.30 (1.04-1.62) in unscreened status, as compared to T2DM status with hyperglycaemia. CONCLUSIONS Hyperglycaemia is positively associated with mortality and both those without and with controlled T2DM are at highest risk. These findings may help medical staff identify potential increased risk of mortality upon hospital entry and discharge, and direct further research to assess how hyperglycaemia control and proactive deterioration prevention throughout the entire inpatient stay may prevent adverse outcomes.
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Affiliation(s)
- Hana'a Rayyan-Assi
- Clalit Research Institute, Chief Physician's Office, Clalit Health Services, Tel Aviv, Israel
| | - Becca Feldman
- Clalit Research Institute, Chief Physician's Office, Clalit Health Services, Tel Aviv, Israel
| | - Maya Leventer-Roberts
- Clalit Research Institute, Chief Physician's Office, Clalit Health Services, Tel Aviv, Israel
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Amichay Akriv
- Clalit Research Institute, Chief Physician's Office, Clalit Health Services, Tel Aviv, Israel
| | - Itamar Raz
- The Internal Medicine Unit, Hadassah Hebrew University Hospital, Jerusalem, Israel
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8
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Time in blood glucose range 70 to 180 mg/dL and survival rate in critically ill patients: A retrospective cohort study. PLoS One 2021; 16:e0252158. [PMID: 34043681 PMCID: PMC8158903 DOI: 10.1371/journal.pone.0252158] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 05/11/2021] [Indexed: 12/14/2022] Open
Abstract
Background While time in targeted blood glucose range (TIR) 70–140 mg/dL is a known factor associated with mortality in critically ill patients, it remains unclear whether TIR is associated with 28-day mortality under the glycemic control with a less tight target glucose range of 70–180 mg/dL. We aimed to examine whether TIR 70–180 mg/dL was associated with 28-day mortality. Methods This is a retrospective cohort study using data from a tertiary care center in Japan collected from January 2016 through October 2019. We included adult patients (aged ≥20 years) admitted to the ICU. We excluded patients 1) with diabetic ketoacidosis patients, 2) discharged within 48 hours, 3) with repeated ICU admissions. We calculated TIR 70–180 mg/dL using the measured blood glucose values (≥3 times per day). The primary outcome was 28-day mortality. We examined the association between TIR and 28-day mortality using a logistic regression and Cox proportional hazard models with a stratification by glycosylated hemoglobin (HbA1c) level of 6.5%. Additionally, we repeated the analyses using the TIR category to assess the optimal TIR. For the sensitivity analysis, we repeated the primary analysis using TIR during the first three days from ICU admission. Results Of 1,230 patients, the median age was 72 years, 65% were male, and 250 patients (20%) had HbA1c ≥6.5% on admission. In patients with HbA1c <6.5%, TIR <80% was associated with an increased risk of 28-day mortality, with an adjusted odds ratio (OR) of 1.88 (95%CI: 1.36–2.61). Likewise, when using 10% incremental TIR as a categorical variable, lower TIR was associated with a worse 28-day mortality compared with TIR ≥90% (e.g., adjusted OR of TIR <60%, 3.62 [95%CI 2.36–5.53]). Similar associations were found in the analyses using Cox proportional hazards model and using TIR during the first three days. By contrast, in patients with HbA1c ≥6.5%, there was no consistent association of TIR with 28-day mortality. Conclusions We found that lower TIR 70–180 mg/dL was associated with a higher 28-day mortality in critically ill patients with HbA1c <6.5%, whereas there was no consistent association in patients with HbA1c ≥6.5%.
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9
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Mekhaimar M, Dargham S, El-Shazly M, Al Suwaidi J, Jneid H, Abi Khalil C. Diabetes-related cardiovascular and economic burden in patients hospitalized for heart failure in the US: a recent temporal trend analysis from the National Inpatient Sample. Heart Fail Rev 2020; 26:289-300. [PMID: 32930940 PMCID: PMC7895778 DOI: 10.1007/s10741-020-10012-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
We aimed to study the cardiovascular and economic burden of diabetes mellitus (DM) in patients hospitalized for heart failure (HF) in the US and to assess the recent temporal trend. Data from the National Inpatient Sample were analyzed between 2005 and 2014. The prevalence of DM increased from 40.4 to 46.5% in patients hospitalized for HF. In patients with HF and DM, mean (SD) age slightly decreased from 71 (13) to 70 (13) years, in which 47.5% were males in 2005 as compared with 52% in 2014 (p trend < 0.001 for both). Surprisingly, the presence of DM was associated with lower in-hospital mortality risk, even after adjustment for confounders (adjusted OR = 0.844 (95% CI [0.828–0.860]). Crude mortality gradually decreased from 2.7% in 2005 to 2.4% in 2014 but was still lower than that of non-diabetes patients’ mortality on a yearly comparison basis. Hospitalization for HF also decreased from 211 to 188/100,000 hospitalizations. However, median (IQR) LoS slightly increased from 4 (2–6) to 4 (3–7) days, so did total charges/stay that jumped from 15,704 to 26,858 USD (adjusted for inflation, p trend < 0.001 for both). In total, the prevalence of DM is gradually increasing in HF. However, the temporal trend shows that hospitalization and in-hospital mortality are on a descending slope at a cost of an increasing yearly expenditure and length of stay, even to a larger extent than in patient without DM.
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Affiliation(s)
| | - Soha Dargham
- Research Department, Weill Cornell Medicine-Qatar, Doha, Qatar
| | | | | | - Hani Jneid
- The Michael E. DeBakey VA Medical Centre, Baylor College of Medicine, Houston, TX, USA
| | - Charbel Abi Khalil
- Research Department, Weill Cornell Medicine-Qatar, Doha, Qatar. .,Joan and Sanford I. Weill Department of Medicine, Weill Cornell Medicine, New York, NY, USA. .,Department of Health Policy, London School of Economics, London, UK.
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Maximal Glycemic Difference, the Possible Strongest Glycemic Variability Parameter to Predict Mortality in ICU Patients. Crit Care Res Pract 2020; 2020:5071509. [PMID: 32908696 PMCID: PMC7463358 DOI: 10.1155/2020/5071509] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Revised: 06/25/2020] [Accepted: 07/29/2020] [Indexed: 01/04/2023] Open
Abstract
Background This retrospective study aimed to determine the correlation of blood glucose and glycemic variability with mortality and to identify the strongest glycemic variability parameter for predicting mortality in critically ill patients. Methods A total of 528 patients admitted to the medical intensive care unit were included in this study. Blood glucose levels during the first 24 hours of admission were recorded and calculated to determine the glycemic variability. Significant glycemic variability parameters, including the standard deviation, coefficient of variation, maximal blood glucose difference, and J-index, were subsequently compared between intensive care unit survivors and nonsurvivors. A binary logistic regression was performed to identify independent factors associated with mortality. To determine the strongest glycemic variability parameter to predict mortality, the area under the receiver operating characteristic of each glycemic variability parameter was determined, and a pairwise comparison was performed. Results Among the 528 patients, 17.8% (96/528) were nonsurvivors. Both survivor and nonsurvivor groups were clinically comparable. However, nonsurvivors had significantly higher median APACHE-II scores (23 [21, 27] vs. 18 [14, 22]; p < 0.01) and a higher mechanical ventilator support rate (97.4% vs. 74.9%; p < 0.01). The mean blood glucose level and significant glycemic variability parameters were higher in nonsurvivors than in survivors. The maximal blood glucose difference yielded a similar power to the coefficient of variation (p = 0.21) but was significantly stronger than the standard deviation (p = 0.005) and J-index (p = 0.006). Conclusions Glycemic variability was independently associated with intensive care unit mortality. Higher glycemic variability was identified in the nonsurvivor group regardless of preexisting diabetes mellitus. The maximal blood glucose difference and coefficient of variation of the blood glucose were the two strongest parameters for predicting intensive care unit mortality in this study.
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12
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Association of multiple glycemic parameters at intensive care unit admission with mortality and clinical outcomes in critically ill patients. Sci Rep 2019; 9:18498. [PMID: 31811218 PMCID: PMC6897941 DOI: 10.1038/s41598-019-55080-3] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2019] [Accepted: 11/15/2019] [Indexed: 12/14/2022] Open
Abstract
The aim of the present study was to investigate the association of multiple glycemic parameters at intensive care unit (ICU) admission with outcomes in critically ill patients. Critically ill adults admitted to ICU were included prospectively in the study and followed for 180 days until hospital discharge or death. Patients were assessed for glycemic gap, hypoglycemia, hyperglycemia, glycemic variability, and stress hyperglycemia ratio (SHR). A total of 542 patients were enrolled (30% with preexisting diabetes). Patients with glycemic gap >80 mg/dL had increased need for renal replacement therapy (RRT; 37.7% vs. 23.7%, p = 0.025) and shock incidence (54.7% vs. 37.4%, p = 0.014). Hypoglycemia was associated with increased mortality (54.8% vs. 35.8%, p = 0.004), need for RRT (45.1% vs. 22.3%, p < 0.001), mechanical ventilation (MV; 72.6% vs. 57.5%, p = 0.024), and shock incidence (62.9% vs. 35.8%, p < 0.001). Hyperglycemia increased mortality (44.3% vs. 34.9%, p = 0.031). Glycemic variability >40 mg/dL was associated with increased need for RRT (28.3% vs. 14.4%, p = 0.002) and shock incidence (41.4% vs.31.2%, p = 0.039). In this mixed sample of critically ill subjects, including patients with and without preexisting diabetes, glycemic gap, glycemic variability, and SHR were associated with worse outcomes, but not with mortality. Hypoglycemia and hyperglycemia were independently associated with increased mortality.
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Casillas S, Jauregui E, Surani S, Varon J. Blood glucose control in the intensive care unit: Where is the data? World J Meta-Anal 2019; 7:399-405. [DOI: 10.13105/wjma.v7.i8.399] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2019] [Revised: 08/13/2019] [Accepted: 08/20/2019] [Indexed: 02/06/2023] Open
Abstract
Blood glucose control, including hyperglycemia correction, maintaining glucose at optimal level and avoiding hypoglycemia, is a challenge clinicians face every day in intensive care units (ICUs). If managed inadequately, its related mortality can increase. Prior to 2001, no relevant data from randomized, controlled studies assessing glucose control in the ICU were available. In the past 18 years, however, many clinical trials have defined criteria for managing abnormal blood glucose levels, as well as provided suggestions for glycemic monitoring. Point-of-care blood glucose monitors have become the preferred bedside technology to aid in glycemic management. In addition, in some institutions, continuous glucose monitoring is now available. Cost-effectiveness of adequate glycemic control in the ICU must be taken into consideration when addressing this complex issue. Newer types of glycemic monitoring may reduce nursing staff fatigue and shorten times for the treatment of hyperglycemia or hypoglycemia. There are a variety of glycemic care protocols available. However, not all ICU clinicians are aware of them. The following minireview describes some of these concepts.
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Affiliation(s)
- Sebastian Casillas
- Universidad Autonoma de Baja California, Campus Otay, Nueva, Mexicali 21100, Mexico
| | - Edgar Jauregui
- Universidad Autonoma de Baja California, Campus Otay, Nueva, Mexicali 21100, Mexico
| | - Salim Surani
- Department of Medicine, Pulmonary, Critical Care and Sleep Medicine, Texas A and M University, Corpus Christi, TX 78414, United States
| | - Joseph Varon
- Acute and Continuing Care, The University of Texas Health Science Center at Houston, The University of Texas, Medical Branch at Galveston, United Memorial Medical Center/United General Hospital, Houston, TX 77030, United States
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Elevated Glycemic Gap Predicts Acute Respiratory Failure and In-hospital Mortality in Acute Heart Failure Patients with Diabetes. Sci Rep 2019; 9:6279. [PMID: 31000758 PMCID: PMC6472356 DOI: 10.1038/s41598-019-42666-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Accepted: 04/05/2019] [Indexed: 02/08/2023] Open
Abstract
Diabetes is a common comorbidity in patients hospitalized for acute heart failure (AHF), but the relationship between admission glucose level, glycemic gap, and in-hospital mortality in patients with both conditions has not been investigated thoroughly. Clinical data for admission glucose, glycemic gap and in-hospital death in 425 diabetic patients hospitalized because of AHF were collected retrospectively. Glycemic gap was calculated as the A1c-derived average glucose subtracted from the admission plasma glucose level. Receiver operating characteristic (ROC) curves were used to determine the optimal cutoff value for glycemic gap to predict all-cause mortality. Patients with glycemic gap levels >43 mg/dL had higher rates of all-cause death (adjusted hazard ratio, 7.225, 95% confidence interval, 1.355-38.520) than those with glycemic gap levels ≤43 mg/dL. The B-type natriuretic peptide levels incorporated with glycemic gap could increase the predictive capacity for in-hospital mortality and increase the area under the ROC from 0.764 to 0.805 (net reclassification improvement = 9.9%, p < 0.05). In conclusion, glycemic gap may be considered a useful parameter for predicting the disease severity and prognosis of patients with diabetes hospitalized for AHF.
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Lheureux O, Prevedello D, Preiser JC. Update on glucose in critical care. Nutrition 2018; 59:14-20. [PMID: 30415158 DOI: 10.1016/j.nut.2018.06.027] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Revised: 06/08/2018] [Accepted: 06/10/2018] [Indexed: 01/04/2023]
Abstract
The aim of this review is to summarize recent developments on the mechanisms involved in stress hyperglycemia associated with critical illness. Different aspects of the consequences of stress hyperglycemia as well as the therapeutic approaches tested so far are discussed: the physiological regulations of blood glucose, the mechanisms underlying stress hyperglycemia, the clinical associations, and the results of the prospective trials and meta-analyses to be taken into consideration when interpreting the available data. Current recommendations, challenges, and technological hopes for the future are be discussed.
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Affiliation(s)
- Olivier Lheureux
- Department of Intensive Care, CUB-Erasme, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Danielle Prevedello
- Department of Intensive Care, CUB-Erasme, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Jean-Charles Preiser
- Department of Intensive Care, CUB-Erasme, Université Libre de Bruxelles (ULB), Brussels, Belgium.
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Aramendi I, Burghi G, Manzanares W. Dysglycemia in the critically ill patient: current evidence and future perspectives. Rev Bras Ter Intensiva 2018; 29:364-372. [PMID: 29044305 PMCID: PMC5632980 DOI: 10.5935/0103-507x.20170054] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2016] [Accepted: 02/16/2017] [Indexed: 12/11/2022] Open
Abstract
Dysglycemia in critically ill patients (hyperglycemia, hypoglycemia, glycemic
variability and time in range) is a biomarker of disease severity and is
associated with higher mortality. However, this impact appears to be weakened in
patients with previous diabetes mellitus, particularly in those with poor
premorbid glycemic control; this phenomenon has been called "diabetes paradox".
This phenomenon determines that glycated hemoglobin (HbA1c) values should be
considered in choosing glycemic control protocols on admission to an intensive
care unit and that patients' target blood glucose ranges should be adjusted
according to their HbA1c values. Therefore, HbA1c emerges as a simple tool that
allows information that has therapeutic utility and prognostic value to be
obtained in the intensive care unit.
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Affiliation(s)
- Ignacio Aramendi
- Centro Nacional de Quemados, Hospital de Clínicas Dr. Manuel Quintela, Facultad de Medicina, Universidad de la República - Montevideo, Uruguay
| | - Gastón Burghi
- Centro Nacional de Quemados, Hospital de Clínicas Dr. Manuel Quintela, Facultad de Medicina, Universidad de la República - Montevideo, Uruguay
| | - William Manzanares
- Cátedra de Medicina Intensiva, Hospital de Clínicas Dr. Manuel Quintela, Facultad de Medicina, Universidad de la República - Montevideo, Uruguay
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Lin J, Weng Y, Li M, Mo Y, Zhao J. Hydration prevents chronic hyperglycaemic patients from neurological deterioration post-ischaemic stroke. Acta Neurol Scand 2018; 137:557-565. [PMID: 29363095 DOI: 10.1111/ane.12900] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/22/2017] [Indexed: 12/14/2022]
Abstract
OBJECTIVES To determine whether chronic hyperglycaemia predisposes patients to dehydration, which may promote neurological deterioration, and to investigate whether dehydration control improves functional outcome. PATIENTS AND METHODS This study included 355 patients hospitalized with acute ischaemic stroke and diabetes mellitus who fulfilled the glycaemic gap ≤0. We used the following cut-offs: (i) no chronic hyperglycaemia (glycated haemoglobin A1c [HbA1c] < 7%) and (ii) chronic hyperglycaemia (HbA1c ≥ 7%). The chronic hyperglycaemic patients were randomly divided into the control group and the hydration group. Hydration therapy was only initiated in the hydration group. The blood urea nitrogen (BUN)/creatinine (Cr) ratio was used as an indicator of dehydration. Stroke severity on admission and discharge was assessed by means of National Institutes of Health Stroke Scale (NIHSS). RESULTS The mean baseline BUN/Cr ratios were higher in the control group and hydration group than in the no chronic hyperglycaemia group. The mean BUN/Cr ratio decreased from 91.22 ± 29.95 on the first day to 77.03 ± 18.23 on the third day (P < .001) in the hydration group. On the third day after admission, there was no significant difference in the BUN/Cr ratio between the hydration group and the no chronic hyperglycaemia group (P = .831). Moreover, neurological deterioration was highest in the control group (33.6%, 36/107), followed by the hydration group (10.5%, 11/105) and the no chronic hyperglycaemia group (5.6%, 8/143). CONCLUSIONS Chronic hyperglycaemia was associated with the admission NIHSS score and neurological deterioration after excluding the effect of stress hyperglycaemia. Furthermore, hydration therapy may help prevent neurological deterioration.
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Affiliation(s)
- J. Lin
- Department of Neurology; Minhang Branch; Zhongshan Hospital; Fudan University; Shanghai China
- Institute of Fudan-Minhang Academic Health System; Minhang Hospital; Fudan University; Shanghai China
| | - Y. Weng
- Department of Neurology; Minhang Branch; Zhongshan Hospital; Fudan University; Shanghai China
- Institute of Fudan-Minhang Academic Health System; Minhang Hospital; Fudan University; Shanghai China
| | - M. Li
- Department of Neurology; Minhang Branch; Zhongshan Hospital; Fudan University; Shanghai China
- Institute of Fudan-Minhang Academic Health System; Minhang Hospital; Fudan University; Shanghai China
| | - Y. Mo
- Department of Neurology; Minhang Branch; Zhongshan Hospital; Fudan University; Shanghai China
- Institute of Fudan-Minhang Academic Health System; Minhang Hospital; Fudan University; Shanghai China
| | - J. Zhao
- Department of Neurology; Minhang Branch; Zhongshan Hospital; Fudan University; Shanghai China
- Institute of Fudan-Minhang Academic Health System; Minhang Hospital; Fudan University; Shanghai China
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Abstract
Hyperglycemia is very common in critically ill patients and interventional studies of intensive insulin therapy with the goal of returning ICU glycemia to normal levels have demonstrated mixed results. A large body of literature has demonstrated that diabetes, per se, is not independently associated with increased risk of mortality in this population and that the relationship of glucose metrics to mortality is different for patients with and without diabetes. Moreover, these relationships are confounded by preadmission glycemia; in this regard, patients with diabetes and good preadmission glucose control, as reflected by HbA1c levels obtained at the time of ICU admission, are similar to patients without diabetes. These data point the way toward an era when blood glucose targets in the ICU will be "personalized," based on assessment of preadmission glycemia.
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Affiliation(s)
- James Stephen Krinsley
- Stamford Hospital, Department of Medicine, Columbia University College of Physicians and Surgeons, Stamford, CT, USA
- James Stephen Krinsley, MD, FCCP, FCCM, Stamford Hospital, Department of Medicine, Columbia University College of Physicians and Surgeons, 1 Hospital Plaza, Stamford, CT 06902, USA. or
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Diabetes Is Not Associated With Increased 90-Day Mortality Risk in Critically Ill Patients With Sepsis. Crit Care Med 2017; 45:e1026-e1035. [PMID: 28737575 DOI: 10.1097/ccm.0000000000002590] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVES To determine the association of pre-existing diabetes, hyperglycemia, and hypoglycemia during the first 24 hours of ICU admissions with 90-day mortality in patients with sepsis admitted to the ICU. DESIGN We used mixed effects logistic regression to analyze the association of diabetes, hyperglycemia, and hypoglycemia with 90-day mortality (n = 128,222). SETTING All ICUs in the Netherlands between January 2009 and 2014 that participated in the Dutch National Intensive Care Evaluation registry. PATIENTS All unplanned ICU admissions in patients with sepsis. INTERVENTIONS The association between 90-day mortality and pre-existing diabetes, hyperglycemia, and hypoglycemia, corrected for other factors, was analyzed using a generalized linear mixed effect model. MEASUREMENTS AND MAIN RESULTS In a multivariable analysis, diabetes was not associated with increased 90-day mortality. In diabetes patients, only severe hypoglycemia in the absence of hyperglycemia was associated with increased 90-day mortality (odds ratio, 2.95; 95% CI, 1.19-7.32), whereas in patients without pre-existing diabetes, several combinations of abnormal glucose levels were associated with increased 90-day mortality. CONCLUSIONS In the current retrospective large database review, diabetes was not associated with adjusted 90-day mortality risk in critically ill patients admitted with sepsis.
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Yang CJ, Liao WI, Tang ZC, Wang JC, Lee CH, Chang WC, Hsu CW, Tang SE, Tsai SH. Glycated hemoglobin A1c-based adjusted glycemic variables in patients with diabetes presenting with acute exacerbation of chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis 2017; 12:1923-1932. [PMID: 28740373 PMCID: PMC5505159 DOI: 10.2147/copd.s131232] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Acute hyperglycemia is a common finding in patients presenting to emergency departments (EDs) with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Several studies have argued against the association between hyperglycemia at admission and adverse outcomes in patients with diabetes and an acute illness. Recent studies have shown that glucose-related variables (eg, glycemic gaps and stress hyperglycemia ratios) that are adjusted for glycated hemoglobin levels can indicate the severity of a variety of diseases. The objective of this study was to assess whether these hemoglobin A1c (HbA1c)-based adjusted average glycemic variables were associated with unfavorable outcomes in patients admitted to a hospital with AECOPD. We found that 1) pulmonary infection is a major risk factor for AECOPD; 2) a higher glycemic gap and modified stress hyperglycemia ratio were associated with the development of acute respiratory failure (ARF) in patients with diabetes admitted to an ED because of AECOPD; and 3) the glycemic gap and modified stress hyperglycemia ratio had superior discriminative power over acute hyperglycemia and HbA1c for predicting the development of ARF, although the HbA1c-adjusted glycemic variables alone were not independent risk factors for ARF.
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Affiliation(s)
- Chih-Jen Yang
- Department of Emergency Medicine, Tri-Service General Hospital, National Defense Medical Center
| | - Wen-I Liao
- Department of Emergency Medicine, Tri-Service General Hospital, National Defense Medical Center
| | - Zun-Cheng Tang
- Department of Biological Imaging and Radiological Science, National Yang-Ming University
| | - Jen-Chun Wang
- Department of Emergency Medicine, Tri-Service General Hospital, National Defense Medical Center
| | - Chien-Hsing Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center
| | - Wei-Chou Chang
- Department of Radiology, Tri-Service General Hospital, National Defense Medical Center
| | - Chin-Wang Hsu
- Department of Emergency Medicine, School of Medicine, College of Medicine.,Department of Emergency and Critical Medicine, Wan Fang Hospital, Taipei Medical University
| | - Shih-En Tang
- Division of Pulmonary and Critical Care, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Shih-Hung Tsai
- Department of Emergency Medicine, Tri-Service General Hospital, National Defense Medical Center
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Chen PC, Liao WI, Wang YC, Chang WC, Hsu CW, Chen YH, Tsai SH. An Elevated Glycemic Gap is Associated With Adverse Outcomes in Diabetic Patients With Community-Acquired Pneumonia. Medicine (Baltimore) 2015; 94:e1456. [PMID: 26313809 PMCID: PMC4602897 DOI: 10.1097/md.0000000000001456] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
Several studies argue against the association between admission hyperglycemia and adverse outcomes in infected diabetic patients. When investigating the association, it is necessary to consider preexisting hyperglycemia. The objective of this study was to assess whether stress-induced hyperglycemia, determined by the glycemic gap between admission glucose levels and A1c-derived average glucose levels adversely affects outcomes in diabetic patients admitted to hospital with community-acquired pneumonia (CAP).We retrospectively analyzed the glycemic gap and adverse outcomes of diabetic patients hospitalized because of CAP from June 1, 2007 to August 31, 2012 in single medical center in Taiwan.A total of 203 patients admitted with principal diagnosis of CAP and available data of glycemic gap.Patients with glycemic gaps ≥40 mg/dL had greater AUROC values for the development of adverse outcomes compared with acute hyperglycemia and long-term glycemic controls. Patients with an elevated glycemic gap had an odds ratio of 3.84 for the incidence of combined adverse outcomes. Incorporation of the glycemic gap into pneumonia severity index, CURB-65 or SMART-COP scores, increased the discriminative performance of predicting the development of adverse outcomes.Glycemic gaps were associated with adverse outcomes of diabetic CAP patients. The discriminative performance of the calculated glycemic gaps was comparable with those of current clinical scoring systems and may further increase the AUROC of each system.
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Affiliation(s)
- Po-Chuan Chen
- From the Department of Emergency Medicine (PCC, WIL, YHC, SHT); Department of Family Medicine (YCW); Department of Radiology, Tri-Service General Hospital, National Defense Medical Center (WCC); and Department of Emergency and Critical Care Medicine, Taipei Medical University-Wan Fang Hospital, Taipei, Taiwan (CWH)
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Gheorghiţă V, Barbu AE, Gheorghiu ML, Căruntu FA. Endocrine dysfunction in sepsis: a beneficial or deleterious host response? Germs 2015; 5:17-25. [PMID: 25763364 DOI: 10.11599/germs.2015.1067] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2015] [Revised: 02/28/2015] [Accepted: 03/01/2015] [Indexed: 12/29/2022]
Abstract
Sepsis is a systemic, deleterious inflammatory host response triggered by an infective agent leading to severe sepsis, septic shock and multi-organ failure. The host response to infection involves a complex, organized and coherent interaction between immune, autonomic, neuroendocrine and behavioral systems. Recent data have confirmed that disturbances of the autonomic nervous and neuroendocrine systems could contribute to sepsis-induced organ dysfunction. Through this review, we aimed to summarize the current knowledge about the endocrine dysfunction as response to sepsis, specifically addressed to vasopressin, copeptin, cortisol, insulin and leptin. We searched the following readily accessible, clinically relevant databases: PubMed, UpToDate, BioMed Central. The immune system could be regarded as a "diffuse sensory organ" that signals the presence of pathogens to the brain through different pathways, such as the vagus nerve, endothelial activation/dysfunction, cytokines and neurotoxic mediators and the circumventricular organs, especially the neurohypophysis. The hormonal profile changes substantially as a consequence of inflammatory mediators and microorganism products leading to inappropriately low levels of vasopressin, sick euthyroid syndrome, reduced adrenal responsiveness to ACTH, insulin resistance, hyperglycemia as well as hyperleptinemia. In conclusion, clinical diagnosis of this "pan-endocrine illness" is frequently challenging due to the many limiting factors. The most important benefits of endocrine markers in the management of sepsis may be reflected by their potential to be used as biomarkers in different scoring systems to estimate the severity of the disease and the risk of death.
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Affiliation(s)
- Valeriu Gheorghiţă
- MD, PhD, Dr Carol Davila Central Universitary Emergency Military Hospital, Bucharest, Romania; National Institute for Infectious Diseases "Prof. Dr. Matei Balş", Bucharest, Romania
| | - Alina Elena Barbu
- MD, National Institute for Infectious Diseases "Prof. Dr. Matei Balş", Bucharest, Romania
| | - Monica Livia Gheorghiu
- MD, PhD, Lecturer, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania; Parhon National Institute of Endocrinology, Bucharest, Romania
| | - Florin Alexandru Căruntu
- MD, PhD, Associate Professor, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania; National Institute for Infectious Diseases "Prof. Dr. Matei Balş", Bucharest, Romania
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Radfar M, Faghihi T, Hadjibabaie M, Ebrahimi F, Qorbani M, Iravani M, Ghavamzadeh A. Impact of preexisting diabetes mellitus on transplantation outcomes in hematopoietic stem cell transplantation. Endocr Res 2015; 40:20-4. [PMID: 24833082 DOI: 10.3109/07435800.2014.914037] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
New onset diabetes mellitus is frequently observed following hematopoietic stem cell transplantation (HSCT) and is associated with adverse transplantation outcomes. However, the outcomes of patients with preexisting diabetes mellitus undergoing HSCT are largely unknown. We aimed to explore the impact of preexisting diabetes on transplantation outcomes in HSCT. In a retrospective study, medical charts of 34 HSCT recipients with diabetes mellitus undergoing allogeneic or autologous transplantation were reviewed and compared with 71 HSCT recipients without diabetes. Primary outcome was overall survival. Secondary outcomes included hematopoietic recovery, length of hospital stay, febrile neutropenia, acute and chronic graft-versus-host disease (GVHD), primary disease recurrence, and non-relapse mortality (NRM). On univariate analysis, there was no difference in transplantation outcomes in recipients with diabetes compared with recipients without diabetes. However, after adjusting for potential covariates, multivariate analysis demonstrated that having diabetes before HSCT significantly predicted outcome and decreased overall survival (hazard ratio 0.51, 95% confidence interval: 0.27-0.97, p value: 0.04). This study suggests that patients with diabetes mellitus undergoing allogeneic or autologous HSCT may have inferior survival rates and warrant further attention.
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Affiliation(s)
- Mania Radfar
- Department of Clinical Pharmacy, Faculty of Pharmacy, Tehran University of Medical Sciences , Tehran , Iran
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Coefficient of glucose variation is independently associated with mortality in critically ill patients receiving intravenous insulin. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2014; 18:R86. [PMID: 24886864 PMCID: PMC4075237 DOI: 10.1186/cc13851] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2013] [Accepted: 04/08/2014] [Indexed: 12/25/2022]
Abstract
INTRODUCTION Both patient- and context-specific factors may explain the conflicting evidence regarding glucose control in critically ill patients. Blood glucose variability appears to correlate with mortality, but this variability may be an indicator of disease severity, rather than an independent predictor of mortality. We assessed blood glucose coefficient of variation as an independent predictor of mortality in the critically ill. METHODS We used eProtocol-Insulin, an electronic protocol for managing intravenous insulin with explicit rules, high clinician compliance, and reproducibility. We studied critically ill patients from eight hospitals, excluding patients with diabetic ketoacidosis and patients supported with eProtocol-insulin for < 24 hours or with < 10 glucose measurements. Our primary clinical outcome was 30-day all-cause mortality. We performed multivariable logistic regression, with covariates of age, gender, glucose coefficient of variation (standard deviation/mean), Charlson comorbidity score, acute physiology score, presence of diabetes, and occurrence of hypoglycemia < 60 mg/dL. RESULTS We studied 6101 critically ill adults. Coefficient of variation was independently associated with 30-day mortality (odds ratio 1.23 for every 10% increase, P < 0.001), even after adjustment for hypoglycemia, age, disease severity, and comorbidities. The association was higher in non-diabetics (OR = 1.37, P < 0.001) than in diabetics (OR 1.15, P = 0.001). CONCLUSIONS Blood glucose variability is associated with mortality and is independent of hypoglycemia, disease severity, and comorbidities. Future studies should evaluate blood glucose variability.
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Krinsley JS, Egi M, Kiss A, Devendra AN, Schuetz P, Maurer PM, Schultz MJ, van Hooijdonk RTM, Kiyoshi M, Mackenzie IMJ, Annane D, Stow P, Nasraway SA, Holewinski S, Holzinger U, Preiser JC, Vincent JL, 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. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2013; 17:R37. [PMID: 23452622 PMCID: PMC3733432 DOI: 10.1186/cc12547] [Citation(s) in RCA: 235] [Impact Index Per Article: 21.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2012] [Accepted: 03/01/2013] [Indexed: 12/18/2022]
Abstract
Introduction Hyperglycemia, hypoglycemia, and increased glycemic variability have each been
independently associated with increased risk of mortality in critically ill
patients. The role of diabetic status on modulating the relation of these three
domains of glycemic control with mortality remains uncertain. The purpose of this
investigation was to determine how diabetic status affects the relation of
hyperglycemia, hypoglycemia, and increased glycemic variability with the risk of
mortality in critically ill patients. Methods This is a retrospective analysis of prospectively collected data involving 44,964
patients admitted to 23 intensive care units (ICUs) from nine countries, between
February 2001 and May 2012. We analyzed mean blood glucose concentration (BG),
coefficient of variation (CV), and minimal BG and created multivariable models to
analyze their independent association with mortality. Patients were stratified
according to the diagnosis of diabetes. Results Among patients without diabetes, mean BG bands between 80 and 140 mg/dl were
independently associated with decreased risk of mortality, and mean BG bands
>140 mg/dl, with increased risk of mortality. Among patients with
diabetes, mean BG from 80 to 110 mg/dl was associated with increased risk of
mortality and mean BG from 110 to 180 mg/dl with decreased risk of mortality. An
effect of center was noted on the relation between mean BG and mortality.
Hypoglycemia, defined as minimum BG <70 mg/dl, was independently associated
with increased risk of mortality among patients with and without diabetes and
increased glycemic variability, defined as CV >20%, was independently
associated with increased risk of mortality only among patients without diabetes.
Derangements of more than one domain of glycemic control had a cumulative
association with mortality, especially for patients without diabetes. Conclusions Although hyperglycemia, hypoglycemia, and increased glycemic variability is each
independently associated with mortality in critically ill patients, diabetic
status modulates these relations in clinically important ways. Our findings
suggest that patients with diabetes may benefit from higher glucose target ranges
than will those without diabetes. Additionally, hypoglycemia is independently
associated with increased risk of mortality regardless of the patient's diabetic
status, and increased glycemic variability is independently associated with
increased risk of mortality among patients without diabetes. See related commentary by Krinsley,
http://ccforum.com/content/17/2/131 See related commentary by Finfer and Billot,
http://ccforum.com/content/17/2/134
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Abstract
The authors have reviewed the most recent and relevant literature from which reasonable conclusions may be drawn. This article highlights important endocrine and metabolic changes, and provides possible explanations for observed perturbations. Obviously infectious disease specialists are not charged with the primary responsibility of addressing these issues, which have largely remained the domain of endocrinologists and intensivists. However, infectious disease specialists use a variety of drugs that can contribute to these abnormalities. Therefore, a constant dialogue between specialists would enhance the quality of care and also contribute immensely to favorable outcomes.
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Affiliation(s)
- Romesh Khardori
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Strelitz Diabetes Institute for Endocrine and Metabolic Disorders, Eastern Virginia Medical School, Norfolk, VA 23510, USA.
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