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Honarmand K, Sirimaturos M, Hirshberg EL, Bircher NG, Agus MSD, Carpenter DL, Downs CR, Farrington EA, Freire AX, Grow A, Irving SY, Krinsley JS, Lanspa MJ, Long MT, Nagpal D, Preiser JC, Srinivasan V, Umpierrez GE, Jacobi J. Society of Critical Care Medicine Guidelines on Glycemic Control for Critically Ill Children and Adults 2024: Executive Summary. Crit Care Med 2024; 52:649-655. [PMID: 38240482 DOI: 10.1097/ccm.0000000000006173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2024]
Affiliation(s)
- Kimia Honarmand
- Division of Critical Care, Department of Medicine, Mackenzie Health, Vaughan, ON, Canada
- GUIDE Canada, McMaster University, Hamilton, ON, Canada
| | - Michael Sirimaturos
- System Critical Care Pharmacy Services Leader, Houston Methodist Hospital, Houston, TX
| | - Eliotte L Hirshberg
- Adult and Pediatric Critical Care Specialist, University of Utah School of Medicine, Salt Lake City, UT
| | - Nicholas G Bircher
- Department of Nurse Anesthesia, School of Nursing, University of Pittsburgh, Pittsburgh, PA
| | - Michael S D Agus
- Harvard Medical School and Division Chief, Medical Critical Care, Boston Children's Hospital, Boston, MA
| | | | | | | | - Amado X Freire
- Pulmonary Critical Care and Sleep Medicine at the University of Tennessee Health Science Center, Memphis, TN
| | | | - Sharon Y Irving
- Department of Nursing and Clinical Care Services-Critical Care, University of Pennsylvania School of Nursing, Children's Hospital of Philadelphia, Philadelphia, PA
| | - James S Krinsley
- Director of Critical Care, Emeritus, Vagelos Columbia University College of Physicians and Surgeons, Stamford Hospital, Stamford, CT
| | - Michael J Lanspa
- Division of Critical Care, Intermountain Medical Center, Salt Lake City, UT
| | - Micah T Long
- Department of Anesthesiology, Division of Critical Care, University of Wisconsin School of Medicine & Public Health, Madison, WI
| | - David Nagpal
- Division of Cardiac Surgery, Critical Care Western, London Health Sciences Centre, London, ON, Canada
| | - Jean-Charles Preiser
- Medical Director for Research and Teaching, Erasme Hospital, Hôpital Universitaire de Bruxelles, Brussels, Belgium
| | - Vijay Srinivasan
- Departments of Anesthesiology, Critical Care and Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, PA
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Honarmand K, Sirimaturos M, Hirshberg EL, Bircher NG, Agus MSD, Carpenter DL, Downs CR, Farrington EA, Freire AX, Grow A, Irving SY, Krinsley JS, Lanspa MJ, Long MT, Nagpal D, Preiser JC, Srinivasan V, Umpierrez GE, Jacobi J. Society of Critical Care Medicine Guidelines on Glycemic Control for Critically Ill Children and Adults 2024. Crit Care Med 2024; 52:e161-e181. [PMID: 38240484 DOI: 10.1097/ccm.0000000000006174] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2024]
Abstract
RATIONALE Maintaining glycemic control of critically ill patients may impact outcomes such as survival, infection, and neuromuscular recovery, but there is equipoise on the target blood levels, monitoring frequency, and methods. OBJECTIVES The purpose was to update the 2012 Society of Critical Care Medicine and American College of Critical Care Medicine (ACCM) guidelines with a new systematic review of the literature and provide actionable guidance for clinicians. PANEL DESIGN The total multiprofessional task force of 22, consisting of clinicians and patient/family advocates, and a methodologist applied the processes described in the ACCM guidelines standard operating procedure manual to develop evidence-based recommendations in alignment with the Grading of Recommendations Assessment, Development, and Evaluation Approach (GRADE) methodology. Conflict of interest policies were strictly followed in all phases of the guidelines, including panel selection and voting. METHODS We conducted a systematic review for each Population, Intervention, Comparator, and Outcomes question related to glycemic management in critically ill children (≥ 42 wk old adjusted gestational age to 18 yr old) and adults, including triggers for initiation of insulin therapy, route of administration, monitoring frequency, role of an explicit decision support tool for protocol maintenance, and methodology for glucose testing. We identified the best available evidence, statistically summarized the evidence, and then assessed the quality of evidence using the GRADE approach. We used the evidence-to-decision framework to formulate recommendations as strong or weak or as a good practice statement. In addition, "In our practice" statements were included when the available evidence was insufficient to support a recommendation, but the panel felt that describing their practice patterns may be appropriate. Additional topics were identified for future research. RESULTS This guideline is an update of the guidelines for the use of an insulin infusion for the management of hyperglycemia in critically ill patients. It is intended for adult and pediatric practitioners to reassess current practices and direct research into areas with inadequate literature. The panel issued seven statements related to glycemic control in unselected adults (two good practice statements, four conditional recommendations, one research statement) and seven statements for pediatric patients (two good practice statements, one strong recommendation, one conditional recommendation, two "In our practice" statements, and one research statement), with additional detail on specific subset populations where available. CONCLUSIONS The guidelines panel achieved consensus for adults and children regarding a preference for an insulin infusion for the acute management of hyperglycemia with titration guided by an explicit clinical decision support tool and frequent (≤ 1 hr) monitoring intervals during glycemic instability to minimize hypoglycemia and against targeting intensive glucose levels. These recommendations are intended for consideration within the framework of the patient's existing clinical status. Further research is required to evaluate the role of individualized glycemic targets, continuous glucose monitoring systems, explicit decision support tools, and standardized glycemic control metrics.
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Affiliation(s)
- Kimia Honarmand
- Division of Critical Care, Department of Medicine, Mackenzie Health, Vaughan, ON, Canada
- GUIDE Canada, McMaster University, Hamilton, ON, Canada
| | - Michael Sirimaturos
- System Critical Care Pharmacy Services Leader, Houston Methodist Hospital, Houston, TX
| | - Eliotte L Hirshberg
- Adult and Pediatric Critical Care Specialist, University of Utah School of Medicine, Salt Lake City, UT
| | - Nicholas G Bircher
- Department of Nurse Anesthesia, School of Nursing, University of Pittsburgh, Pittsburgh, PA
| | - Michael S D Agus
- Harvard Medical School and Division Chief, Medical Critical Care, Boston Children's Hospital, Boston, MA
| | | | | | | | - Amado X Freire
- Pulmonary Critical Care and Sleep Medicine at the University of Tennessee Health Science Center, Memphis, TN
| | | | - Sharon Y Irving
- Department of Nursing and Clinical Care Services-Critical Care, University of Pennsylvania School of Nursing, Children's Hospital of Philadelphia, Philadelphia, PA
| | - James S Krinsley
- Director of Critical Care, Emeritus, Vagelos Columbia University College of Physicians and Surgeons, Stamford Hospital, Stamford, CT
| | - Michael J Lanspa
- Division of Critical Care, Intermountain Medical Center, Salt Lake City, UT
| | - Micah T Long
- Department of Anesthesiology, Division of Critical Care, University of Wisconsin School of Medicine & Public Health, Madison, WI
| | - David Nagpal
- Division of Cardiac Surgery, Critical Care Western, London Health Sciences Centre, London, ON, Canada
| | - Jean-Charles Preiser
- Medical Director for Research and Teaching, Erasme Hospital, Hôpital Universitaire de Bruxelles, Brussels, Belgium
| | - Vijay Srinivasan
- Departments of Anesthesiology, Critical Care and Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, PA
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Roberts G, Krinsley JS, Preiser JC, Quinn S, Rule PR, Brownlee M, Schwartz M, Umpierrez GE, Hirsch IB. The Glycemic Ratio Is Strongly and Independently Associated With Mortality in the Critically Ill. J Diabetes Sci Technol 2024; 18:335-344. [PMID: 36112804 PMCID: PMC10973871 DOI: 10.1177/19322968221124114] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Interventional studies investigating blood glucose (BG) management in intensive care units (ICU) have been inconclusive. New insights are needed. We assessed the ability of a new metric, the Glycemic Ratio (GR), to determine the relationship of ICU glucose control relative to preadmission glycemia and mortality. METHODS Retrospective cohort investigation (n = 4790) in an adult medical-surgical ICU included patients with minimum four BGs, hemoglobin (Hgb), and hemoglobin A1c (HbA1c). The GR is the quotient of mean ICU BGs (mBG) and estimated preadmission BG, derived from HbA1c. RESULTS Mortality displayed a J-shaped curve with GR (nadir GR 0.9), independent of background glycemia, consistent for HbA1c <6.5% vs >6.5%, and Hgb >10 g/dL vs <10 g/dL and medical versus surgical. An optimal range of GR 0.80 to 0.99 was associated with decreased mortality compared with GR above and below this range. The mBG displayed a linear relationship with mortality at lower HbA1c but diminished for HbA1c >6.5%, and dependent on preadmission glycemia. In adjusted analysis, GR remained associated with mortality (odds ratio = 2.61, 95% confidence interval = 1.48-4.62, P = .0012), but mBG did not (1.004, 1.000-1.009, .059). A single value on admission was not independently associated with mortality. CONCLUSIONS The GR provided new insight into malglycemia that was not apparent using mBG, or an admission value. Mortality was associated with acute change from preadmission glycemia (GR). Further assessment of the impact of GR deviations from the nadir in mortality at GR 0.80 to 0.99, as both relative hypo- and hyperglycemia, and as duration of exposure and intensity, may further define the multifaceted nature of malglycemia.
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Affiliation(s)
- Greg Roberts
- SA Pharmacy, Flinders Medical Centre, Bedford Park, SA, Australia
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - James S. Krinsley
- Division of Critical Care, Department of Medicine, Stamford Hospital and Columbia University Vagelos College of Physicians and Surgeons, Stamford, CT, USA
| | | | - Stephen Quinn
- Department of Health Science and Biostatistics, Swinburne University of Technology, Melbourne, VIC, Australia
| | - Peter R. Rule
- Pacific Research Institute, Los Altos Hills, CA, USA
| | - Michael Brownlee
- Diabetes Research Emeritus, Biomedical Sciences Emeritus, Einstein Diabetes Research Center, Department of Medicine and Pathology Emeritus, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Michael Schwartz
- Division of Metabolism, Endocrinology and Nutrition, University of Washington Medicine Diabetes Institute, Seattle, WA, USA
| | - Guillermo E. Umpierrez
- Department of Medicine, Division of Endocrinology, Emory University School of Medicine, Atlanta, GA, USA
| | - Irl B. Hirsch
- Department of Medicine, University of Washington Medicine Diabetes Institute, Seattle, WA, USA
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Feng M, Zhou J. Relationship between time-weighted average glucose and mortality in critically ill patients: a retrospective analysis of the MIMIC-IV database. Sci Rep 2024; 14:4721. [PMID: 38413682 PMCID: PMC10899565 DOI: 10.1038/s41598-024-55504-9] [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: 12/25/2023] [Accepted: 02/24/2024] [Indexed: 02/29/2024] Open
Abstract
Blood glucose management in intensive care units (ICU) remains a controversial topic. We assessed the association between time-weighted average glucose (TWAG) levels and ICU mortality in critically ill patients in a real-world study. This retrospective study included critically ill patients from the Medical Information Mart for Intensive Care IV database. Glycemic distance is the difference between TWAG in the ICU and preadmission usual glycemia assessed with glycated hemoglobin at ICU admission. The TWAG and glycemic distance were divided into 4 groups and 3 groups, and their associations with ICU mortality risk were evaluated using multivariate logistic regression. Restricted cubic splines were used to explore the non-linear relationship. A total of 4737 adult patients were included. After adjusting for covariates, compared with TWAG ≤ 110 mg/dL, the odds ratios (ORs) of the TWAG > 110 mg/dL groups were 1.62 (95% CI 0.97-2.84, p = 0.075), 3.41 (95% CI 1.97-6.15, p < 0.05), and 6.62 (95% CI 3.6-12.6, p < 0.05). Compared with glycemic distance at - 15.1-20.1 mg/dL, the ORs of lower or higher groups were 0.78 (95% CI 0.50-1.21, p = 0.3) and 2.84 (95% CI 2.12-3.82, p < 0.05). The effect of hyperglycemia on ICU mortality was more pronounced in non-diabetic and non-septic patients. TWAG showed a U-shaped relationship with ICU mortality risk, and the mortality risk was minimal at 111 mg/dL. Maintaining glycemic distance ≤ 20.1 mg/dL may be beneficial. In different subgroups, the impact of hyperglycemia varied.
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Affiliation(s)
- Mengwen Feng
- Department of Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Jing Zhou
- Department of Geriatric Intensive Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
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He HM, Zheng SW, Xie YY, Wang Z, Jiao SQ, Yang FR, Li XX, Li J, Sun YH. Simultaneous assessment of stress hyperglycemia ratio and glycemic variability to predict mortality in patients with coronary artery disease: a retrospective cohort study from the MIMIC-IV database. Cardiovasc Diabetol 2024; 23:61. [PMID: 38336720 PMCID: PMC10858529 DOI: 10.1186/s12933-024-02146-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 01/28/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND Stress hyperglycemia and glycemic variability (GV) can reflect dramatic increases and acute fluctuations in blood glucose, which are associated with adverse cardiovascular events. This study aimed to explore whether the combined assessment of the stress hyperglycemia ratio (SHR) and GV provides additional information for prognostic prediction in patients with coronary artery disease (CAD) hospitalized in the intensive care unit (ICU). METHODS Patients diagnosed with CAD from the Medical Information Mart for Intensive Care-IV database (version 2.2) between 2008 and 2019 were retrospectively included in the analysis. The primary endpoint was 1-year mortality, and the secondary endpoint was in-hospital mortality. Levels of SHR and GV were stratified into tertiles, with the highest tertile classified as high and the lower two tertiles classified as low. The associations of SHR, GV, and their combination with mortality were determined by logistic and Cox regression analyses. RESULTS A total of 2789 patients were included, with a mean age of 69.6 years, and 30.1% were female. Overall, 138 (4.9%) patients died in the hospital, and 404 (14.5%) patients died at 1 year. The combination of SHR and GV was superior to SHR (in-hospital mortality: 0.710 vs. 0.689, p = 0.012; 1-year mortality: 0.644 vs. 0.615, p = 0.007) and GV (in-hospital mortality: 0.710 vs. 0.632, p = 0.004; 1-year mortality: 0.644 vs. 0.603, p < 0.001) alone for predicting mortality in the receiver operating characteristic analysis. In addition, nondiabetic patients with high SHR levels and high GV were associated with the greatest risk of both in-hospital mortality (odds ratio [OR] = 10.831, 95% confidence interval [CI] 4.494-26.105) and 1-year mortality (hazard ratio [HR] = 5.830, 95% CI 3.175-10.702). However, in the diabetic population, the highest risk of in-hospital mortality (OR = 4.221, 95% CI 1.542-11.558) and 1-year mortality (HR = 2.013, 95% CI 1.224-3.311) was observed in patients with high SHR levels but low GV. CONCLUSIONS The simultaneous evaluation of SHR and GV provides more information for risk stratification and prognostic prediction than SHR and GV alone, contributing to developing individualized strategies for glucose management in patients with CAD admitted to the ICU.
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Affiliation(s)
- Hao-Ming He
- Department of Cardiology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Shu-Wen Zheng
- Department of Cardiology, Beijing University of Chinese Medicine School of Traditional Chinese Medicine, Beijing, China
| | - Ying-Ying Xie
- Department of Cardiology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Zhe Wang
- Department of Cardiology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Si-Qi Jiao
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Fu-Rong Yang
- Department of Cardiology, Beijing University of Chinese Medicine School of Traditional Chinese Medicine, Beijing, China
| | - Xue-Xi Li
- Department of Cardiology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jie Li
- Department of Cardiology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yi-Hong Sun
- Department of Cardiology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
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Hryciw BN, Ghossein J, Rochwerg B, Meggison H, Fernando SM, Kyeremanteng K, Tran A, Seely AJE. Glycemic Variability As a Prognostic Factor for Mortality in Patients With Critical Illness: A Systematic Review and Meta-Analysis. Crit Care Explor 2024; 6:e1025. [PMID: 38222872 PMCID: PMC10786590 DOI: 10.1097/cce.0000000000001025] [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] [Indexed: 01/16/2024] Open
Abstract
OBJECTIVES To perform a systematic review and meta-analysis to evaluate the association of various measures of glycemic variability, including time-domain and complexity-domain, with short-term mortality in patients with critical illness. DATA SOURCES We searched Embase Classic +, MEDLINE, and the Cochrane Database of Systematic Reviews from inception to November 3, 2023. STUDY SELECTION We included English language studies that assessed metrics of glycemic variation or complexity and short-term mortality in patients admitted to the ICU. DATA EXTRACTION Two authors performed independent data abstraction and risk-of-bias assessments. We used a random-effects model to pool binary and continuous data and summarized estimates of effect using odds ratios and mean difference. We used the Quality in Prognosis Studies tool to assess risk of bias and the Grading of Recommendations, Assessment, Development and Evaluations to assess certainty of pooled estimates. DATA SYNTHESIS We included 41 studies (n = 162,259). We demonstrate that increased sd, coefficient of variance, glycemic lability index, and decreased time in range are probably associated with increased mortality in critically ill patients (moderate certainty) and that increased mean absolute glucose, mean amplitude of glycemic excursion, and detrended fluctuation analysis may be associated with increased mortality (low certainty). CONCLUSIONS We found a consistent association between increased measures of glycemic variability and higher short-term mortality in patient with critical illness. Further research should focus on standardized measurements of glycemic variation and complexity, along with their utility as therapeutic targets and prognostic markers.
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Affiliation(s)
- Brett N Hryciw
- Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Jamie Ghossein
- Department of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Bram Rochwerg
- Department of Medicine, Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
| | - Hilary Meggison
- Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Shannon M Fernando
- Department of Critical Care, Lakeridge Health Corporation, Oshawa, ON, Canada
| | - Kwadwo Kyeremanteng
- Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Alexandre Tran
- Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Andrew J E Seely
- Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada
- Division of Thoracic Surgery, Department of Surgery, The Ottawa Hospital, Ottawa, ON, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada
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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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Fitzgerald O, Perez-Concha O, Gallego-Luxan B, Rudd L, Jorm L. The relationship between hyperglycaemia on admission and patient outcome is modified by hyperlactatemia and diabetic status: a retrospective analysis of the eICU collaborative research database. Sci Rep 2023; 13:15692. [PMID: 37735615 PMCID: PMC10514185 DOI: 10.1038/s41598-023-43044-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 09/18/2023] [Indexed: 09/23/2023] Open
Abstract
Both blood glucose and lactate are well-known predictors of organ dysfunction and mortality in critically ill patients. Previous research has shown that concurrent adjustment for glucose and lactate modifies the relationship between these variables and patient outcomes, including blunting of the association between blood glucose and patient outcome. We aim to investigate the relationship between ICU admission blood glucose and hospital mortality while accounting for lactate and diabetic status. Across 43,250 ICU admissions, weighted to account for missing data, we assessed the predictive ability of several logistic regression and generalised additive models that included blood glucose, blood lactate and diabetic status. We found that inclusion of blood glucose marginally improved predictive performance in all patients: AUC-ROC 0.665 versus 0.659 (p = 0.005), with a greater degree of improvement seen in non-diabetics: AUC-ROC 0.675 versus 0.663 (p < 0.001). Inspection of the estimated risk profiles revealed the standard U-shaped risk profile for blood glucose was only present in non-diabetic patients after controlling for blood lactate levels. Future research should aim to utilise observational data to estimate whether interventions such as insulin further modify this effect, with the goal of informing future RCTs of interventions targeting glycaemic control in the ICU.
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Affiliation(s)
- Oisin Fitzgerald
- Centre for Big Data Research in Health, Level 2, AGSM Building, UNSW Sydney, Kensington, NSW, 2052, Australia.
| | - Oscar Perez-Concha
- Centre for Big Data Research in Health, Level 2, AGSM Building, UNSW Sydney, Kensington, NSW, 2052, Australia
| | - Blanca Gallego-Luxan
- Centre for Big Data Research in Health, Level 2, AGSM Building, UNSW Sydney, Kensington, NSW, 2052, Australia
| | - Lachlan Rudd
- Data and Analytics, eHealth NSW, 1 Reserve Road, St Leonards, NSW, 2065, Australia
| | - Louisa Jorm
- Centre for Big Data Research in Health, Level 2, AGSM Building, UNSW Sydney, Kensington, NSW, 2052, Australia
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9
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Li G, Zhong S, Wang X, Zhuge F. Association of hypoglycaemia with the risks of arrhythmia and mortality in individuals with diabetes - a systematic review and meta-analysis. Front Endocrinol (Lausanne) 2023; 14:1222409. [PMID: 37645418 PMCID: PMC10461564 DOI: 10.3389/fendo.2023.1222409] [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: 05/14/2023] [Accepted: 07/24/2023] [Indexed: 08/31/2023] Open
Abstract
Background Hypoglycaemia has been linked to an increased risk of cardiac arrhythmias by causing autonomic and metabolic alterations, which may be associated with detrimental outcomes in individuals with diabetes(IWD), such as cardiovascular diseases (CVDs) and mortality, especially in multimorbid or frail people. However, such relationships in this population have not been thoroughly investigated. For this reason, we conducted a systematic review and meta-analysis. Methods Relevant papers published on PubMed, Embase, Cochrane, Web of Knowledge, Scopus, and CINHAL complete from inception to December 22, 2022 were routinely searched without regard for language. All of the selected articles included odds ratio, hazard ratio, or relative risk statistics, as well as data for estimating the connection of hypoglycaemia with cardiac arrhythmia, CVD-induced death, or total death in IWD. Regardless of the heterogeneity assessed by the I2 statistic, pooled relative risks (RRs) and 95% confidence intervals (CI) were obtained using random-effects models. Results After deleting duplicates and closely evaluating all screened citations, we chose 60 studies with totally 5,960,224 participants for this analysis. Fourteen studies were included in the arrhythmia risk analysis, and 50 in the analysis of all-cause mortality. Hypoglycaemic patients had significantly higher risks of arrhythmia occurrence (RR 1.42, 95%CI 1.21-1.68), CVD-induced death (RR 1.59, 95% CI 1.24-2.04), and all-cause mortality (RR 1.68, 95% CI 1.49-1.90) compared to euglycaemic patients with significant heterogeneity. Conclusion Hypoglycaemic individuals are more susceptible to develop cardiac arrhythmias and die, but evidence of potential causal linkages beyond statistical associations must await proof by additional specifically well planned research that controls for all potential remaining confounding factors.
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Affiliation(s)
- Gangfeng Li
- Clinical Laboratory Center, Shaoxing People’s Hospital, Shaoxing, Zhejiang, China
| | - Shuping Zhong
- Department of Hospital Management, Shaoxing People’s Hospital, Shaoxing, Zhejiang, China
| | - Xingmu Wang
- Clinical Laboratory Center, Shaoxing People’s Hospital, Shaoxing, Zhejiang, China
| | - Fuyuan Zhuge
- Department of Endocrine and Metabolism, Shaoxing People’s Hospital, Shaoxing, Zhejiang, China
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10
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Meng C, Zhang J, Wang Y, Ye X, Zhuang S. Association between time in range 70-180 mg/dl in early stage and severity with in patients acute pancreatitis. BMC Endocr Disord 2023; 23:159. [PMID: 37496012 PMCID: PMC10369797 DOI: 10.1186/s12902-023-01414-2] [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: 01/28/2023] [Accepted: 07/12/2023] [Indexed: 07/28/2023] Open
Abstract
BACKGROUND It is not well understood whether glucose control in the early stage of acute pancreatitis(AP) is related to outcome. This study aimed to investigate the association between blood glucose time in range (TIR) of 70-180 mg/dL in the first 72 h(h) on admission and the progression of AP. METHODS Individuals admitted with AP to the Gastroenterology Department of the Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University between January 2017 and December 2021 were included and retrospectively evaluated. The percentage of TIR between 70 and 180 mg/dL in the first 72 h was calculated. According to the progress of AP at discharge, patients were divided into mild pancreatitis(MAP), and moderately severe acute pancreatitis (MSAP), or severe acute pancreatitis (SAP) groups. We examined the association between TIR or TIR ≥ 70% and AP severity using logistic regression models stratified by a glycosylated hemoglobin (HbA1c) level of 6.5%. Receiver operating characteristic (ROC) curves were generated to assess the ability of the TIR to predict MSAP or SAP. RESULTS A total of 298 individuals were included, of whom 35 developed MSAP or SAP. Logistic regression analyses indicated that TIR was independently associated with the incidence of more serious AP (odds ratio [OR] = 0.962, 95% CI = 0.941-0.983, p = 0.001). This association remained significant in individuals with HbA1c levels ≤ 6.5% (OR = 0.928, 95% CI = 0.888-0.969, p = 0.001). A TIR ≥ 70% was independently associated with reduced severity only in people with well-antecedent controls (OR = 0.238; 95% CI = 0.071-0.802; p = 0.020). TIR was not powerful enough to predict the severity of AP in both patients with poor antecedent glucose control (AUC = 0.641) or with HbA1c < 6.5% (AUC = 0.668). CONCLUSIONS TIR was independently associated with severity in patients with AP, particularly those with good antecedent glucose control.
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Affiliation(s)
- Chuchen Meng
- Department of Endocrinology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - Jie Zhang
- Department of Endocrinology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - Ying Wang
- Department of Endocrinology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - Xinhua Ye
- Department of Endocrinology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - Shaohua Zhuang
- Department of Gastroenterology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, 29 Xinglong Road Changzhou, Jiangsu, 213000, China.
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11
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Roberts G, Krinsley JS, Preiser JC, Quinn S, Rule PR, Brownlee M, Umpierrez GE, Hirsch IB. Malglycemia in the critical care setting. Part I: Defining hyperglycemia in the critical care setting using the glycemic ratio. J Crit Care 2023; 77:154327. [PMID: 37178493 DOI: 10.1016/j.jcrc.2023.154327] [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: 01/22/2023] [Revised: 04/29/2023] [Accepted: 05/05/2023] [Indexed: 05/15/2023]
Abstract
INTRODUCTION Stress-induced hyperglycemia (SIH) is conventionally represented by Blood Glucose (BG) although recent evidence indicates the Glycemic Ratio (GR, quotient of mean BG and estimated preadmission BG) is a superior prognostic marker. We assessed the association between in-hospital mortality and SIH, using BG and GR in an adult medical-surgical ICU. METHODS We included patients with hemoglobin A1c (HbA1c) and minimum four BGs in a retrospective cohort investigation (n = 4790). RESULTS A critical SIH threshold of GR 1.1 was identified. Mortality increased with increasing exposure to GR ≥ 1.1 (r2 = 0.94, p = 0.0007). Duration of exposure to BG ≥ 180 mg/dL demonstrated a less robust association with mortality (r2 = 0.75, p = 0.059). In risk-adjusted analyses, hours GR ≥ 1.1 (OR 1.0014, 95%CI (1.0003-1.0026), p = 0.0161) and hours BG ≥ 180 mg/dL (OR 1.0080, 95%CI (1.0034-1.0126), p = 0.0006) were associated with mortality. In the cohort with no exposure to hypoglycemia however, only hours GR ≥ 1.1 was associated with mortality (OR 1.0027, 95%CI (1.0012-1.0043), p = 0.0007), not BG ≥ 180 mg/dL (OR 1.0031, 95%CI (0.9949-1.0114), p = 0.50) and this relationship remained intact for those who never experienced BG outside the 70-180 mg/dL range (n = 2494). CONCLUSIONS Clinically significant SIH commenced above GR 1.1. Mortality was associated with hours of exposure to GR ≥ 1.1 which was a superior marker of SIH compared to BG.
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Affiliation(s)
- Greg Roberts
- SA Pharmacy, Flinders Medical Centre, Bedford Park, SA 5042, Australia; College of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia.
| | - James S Krinsley
- Division of Critical Care, Department of Medicine, Stamford Hospital, and the Columbia Vagelos College of Physicians and Surgeons, Stamford, CT, United States of America
| | | | - Stephen Quinn
- Department of Health Science and Biostatistics, Swinburne University of Technology, Hawthorn, Victoria, Australia.
| | - Peter R Rule
- PRI, Los Altos Hills, CA, United States of America
| | - Michael Brownlee
- Diabetes Research Emeritus, Biomedical Sciences Emeritus, Einstein Diabetes Research Center, Department of Medicine and Pathology Emeritus, Albert Einstein College of Medicine, Bronx, NY, United States of America.
| | - Guillermo E Umpierrez
- Division of Metabolism, Endocrinology and Nutrition, University of Washington Medicine Diabetes Institute, Seattle, WA, United States of America.
| | - Irl B Hirsch
- Department of Medicine, Division of Endocrinology, Emory University School of Medicine, Atlanta, GA, United States of America.
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12
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Yu G, Ma H, Lv W, Zhou P, Liu C. Association of the time in targeted blood glucose range of 3.9-10 mmol/L with the mortality of critically ill patients with or without diabetes. Heliyon 2023; 9:e13662. [PMID: 36879975 PMCID: PMC9984777 DOI: 10.1016/j.heliyon.2023.e13662] [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: 05/02/2022] [Revised: 02/01/2023] [Accepted: 02/07/2023] [Indexed: 02/12/2023] Open
Abstract
Purpose The relationship between the TIR and mortality may be influenced by the presence of diabetes and other glycemic indicators. The purpose of this study was to investigate the relationship between TIR and in-hospital mortality in diabetic and non-diabetic patients in ICU. Methods A total of 998 patients with severe diseases in the ICU were selected for this retrospective analysis. The TIR is defined as the percentage of time spent in the target blood glucose range of 3.9-10.0 mmol/L within 24 h. The relationship between TIR and in-hospital mortality in diabetic and non-diabetic patients was analyzed. The effect of glycemic variability was also analyzed. Results The binary logistic regression model showed that there was a significant association between the TIR and the in-hospital death of severely ill non-diabetic patients. Furthermore, TIR≥70% was significantly associated with in-hospital death (OR = 0.581, P = 0.003). The study found that the coefficient of variation (CV) was significantly associated with the mortality of severely ill diabetic patients (OR = 1.042, P = 0.027). Conclusions Both diabetic and non-diabetic critically ill patients should control blood glucose fluctuations and maintain blood glucose levels within the target range, it may be beneficial in reducing mortality.
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Affiliation(s)
- Guo Yu
- School of Nursing, Jinan University, No. 601, West Huangpu Avenue, Tianhe District, Guangzhou City, Guangdong Province, China
| | - Haoming Ma
- School of Nursing, Jinan University, No. 601, West Huangpu Avenue, Tianhe District, Guangzhou City, Guangdong Province, China
| | - Weitao Lv
- Division of Critical Care, The First Affiliated Hospital of Jinan, No. 613, West Huangpu Avenue, Tianhe District, Guangzhou City, Guangdong Province, China
| | - Peiru Zhou
- Health Management Centre, The Fifth Affiliated Hospital of Jinan, South Yingke Avenue, Jiangdong New District, Heyuan City, Guangdong Province, China
| | - Cuiqing Liu
- Division of Critical Care, The First Affiliated Hospital of Jinan, No. 613, West Huangpu Avenue, Tianhe District, Guangzhou City, Guangdong Province, China
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13
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Krinsley JS, Roberts G, Brownlee M, Schwartz M, Preiser JC, Rule P, Wang Y, Bahgat J, Umpierrez GE, Hirsch IB. Case-control Investigation of Previously Undiagnosed Diabetes in the Critically Ill. J Endocr Soc 2022; 7:bvac180. [PMID: 36532359 PMCID: PMC9753064 DOI: 10.1210/jendso/bvac180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Indexed: 11/27/2022] Open
Abstract
Context The outcome of patients requiring intensive care can be influenced by the presence of previously undiagnosed diabetes (undiagDM). Objective This work aimed to define the clinical characteristics, glucose control metrics, and outcomes of patients admitted to the intensive care unit (ICU) with undiagDM, and compare these to patients with known DM (DM). Methods This case-control investigation compared undiagDM (glycated hemoglobin A1c [HbA1c] ≥ 6.5%, no history of diabetes) to patients with DM. Glycemic ratio (GR) was calculated as the quotient of mean ICU blood glucose (BG) and estimated preadmission glycemia, based on HbA1c ([28.7 × HbA1c] - 46.7 mg/dL). GR was analyzed by bands: less than 0.7, 0.7 to less than or equal to 0.9, 0.9 to less than 1.1, and greater than or equal to 1.1. Risk-adjusted mortality was represented by the Observed:Expected mortality ratio (OEMR), calculated as the quotient of observed mortality and mortality predicted by the severity of illness (APACHE IV prediction of mortality). Results Of 5567 patients 294 (5.3%) were undiagDM. UndiagDM had lower ICU mean BG (P < .0001) and coefficient of variation (P < .0001) but similar rates of hypoglycemia (P = .08). Mortality and risk-adjusted mortality were similar in patients with GR less than 1.1 comparing undiagDM and DM. However, for patients with GR greater than or equal to 1.1, mortality (38.5% vs 10.3% [P = .0072]) and risk-adjusted mortality (OEMR 1.18 vs 0.52 [P < .0001]) were higher in undiagDM than in DM. Conclusion These data suggest that DM patients may develop tolerance to hyperglycemia that occurs during critical illness, a protective mechanism not observed in undiagDM, for whom hyperglycemia remains strongly associated with higher risk of mortality. These results may shed light on the natural history of diabetes.
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Affiliation(s)
- James S Krinsley
- Department of Medicine, Stamford Hospital and Columbia Vagelos Columbia College of Physicians and Surgeons, Stamford, CT 06902, USA
| | - Gregory Roberts
- Department of Pharmacology, Flinders Medical Centre, Bedford Park, SA 5042, Australia
| | - Michael Brownlee
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Michael Schwartz
- Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Jean-Charles Preiser
- Department of Intensive Care, Erasme University Hospital, Brussels 1070, Belgium
| | - Peter Rule
- PRI Consultants, Los Altos Hills, CA 94024, USA
| | - Yu Wang
- Department of Medicine, Stamford Hospital and Columbia Vagelos Columbia College of Physicians and Surgeons, Stamford, CT 06902, USA
| | - Joseph Bahgat
- Department of Medicine, Stamford Hospital and Columbia Vagelos Columbia College of Physicians and Surgeons, Stamford, CT 06902, USA
| | | | - Irl B Hirsch
- Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA
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14
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Sreedharan R, Martini A, Das G, Aftab N, Khanna S, Ruetzler K. Clinical challenges of glycemic control in the intensive care unit: A narrative review. World J Clin Cases 2022; 10:11260-11272. [PMID: 36387820 PMCID: PMC9649548 DOI: 10.12998/wjcc.v10.i31.11260] [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: 05/31/2022] [Revised: 07/15/2022] [Accepted: 09/27/2022] [Indexed: 02/05/2023] Open
Abstract
Glucose control in patient admitted to the intensive care unit has been a topic of much debate over the past 20 years. The harmful effects of uncontrolled hyperglycemia and hypoglycemia in critically ill patients is well established. Although a large clinical trial in 2001 demonstrated significant mortality and morbidity benefits with tight glucose control in this patient population, the results could not be replicated by other investigators. The “Normoglycemia in Intensive Care Evaluation-Survival Using Glucose Algorithm Regulation” trial in 2009 established that tight glucose control was not only of no benefit, but in fact harmful due to the significant risk of hypoglycemia. The current guidelines suggest a moderate approach with the initiation of intravenous insulin therapy in critically ill patients when the blood glucose level is above 180 mg/dL. The most important factor that underpins glycemic management in intensive care unit patients is the consequent prevention of hypoglycemia. Robust glucose monitoring strategies and insulin protocols need to be implemented in order to achieve this goal.
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Affiliation(s)
- Roshni Sreedharan
- Anesthesiology Institute, Cleveland Clinic, Cleveland, OH 44195, United States
| | - Adriana Martini
- Anesthesiology Institute, Cleveland Clinic, Cleveland, OH 44195, United States
| | - Gyan Das
- Anesthesiology Institute, Cleveland Clinic, Cleveland, OH 44195, United States
| | - Nida Aftab
- Anesthesiology Institute, Cleveland Clinic, Cleveland, OH 44195, United States
| | - Sandeep Khanna
- Anesthesiology Institute, Cleveland Clinic, Cleveland, OH 44195, United States
| | - Kurt Ruetzler
- Anesthesiology Institute, Cleveland Clinic, Cleveland, OH 44195, United States
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15
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Krinsley JS, Rule P, Brownlee M, Roberts G, Preiser JC, Chaudry S, Dionne K, Heluey-Rodrigues C, Umpierrez GE, Hirsch IB. Acute and Chronic Glucose Control in Critically Ill Patients With Diabetes: The Impact of Prior Insulin Treatment. J Diabetes Sci Technol 2022; 16:1483-1495. [PMID: 34396800 PMCID: PMC9631540 DOI: 10.1177/19322968211032277] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Emerging data highlight the interactions of preadmission glycemia, reflected by admission HbA1c levels, glycemic control during critical illness, and mortality. The association of preadmission insulin treatment with outcomes is unknown. METHODS This observational cohort study includes 5245 patients admitted to the medical-surgical intensive care unit of a university-affiliated teaching hospital. Three groups were analyzed: patients with diabetes with prior insulin treatment (DM-INS, n = 538); patients with diabetes with no prior insulin treatment (DM-No-INS, n = 986); no history of diabetes (NO-DM, n = 3721). Groups were stratified by HbA1c level: <6.5%; 6.5%-7.9% and >8.0%. RESULTS Among the three strata of HbA1c, mean blood glucose (BG), coefficient of variation (CV), and hypoglycemia increased with increasing HbA1c, and were higher for DM-INS than for DM-No-INS. Among patients with HbA1c < 6.5%, mean BG ≥ 180 mg/dL and CV > 30% were associated with lower severity-adjusted mortality in DM-INS compared to patients with mean BG 80-140 mg/dL and CV < 15%, (P = .0058 and < .0001, respectively), but higher severity-adjusted mortality among DM-No-INS (P = .0001 and < .0001, respectively) and NON-DM (P < .0001 and < .0001, respectively). Among patients with HbA1c ≥ 8.0%, mean BG ≥ 180 mg/dL was associated with lower severity-adjusted mortality for both DM-INS and DM-No-INS than was mean BG 80-140 mg/dL (p < 0.0001 for both comparisons). CONCLUSIONS Significant differences in mortality were found among patients with diabetes based on insulin treatment and HbA1c at home and post-admission glycemic control. Prospective studies need to confirm an individualized approach to glycemic control in the critically ill.
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Affiliation(s)
- James S. Krinsley
- Division of Critical Care, Department
of Medicine, Stamford Hospital, and the Columbia Vagelos College of Physicians and
Surgeons, Stamford, CT, USA
- James S Krinsley MD, FCCM, FCCP, Division
of Critical Care, Department of Medicine, Stamford Hospital, and the Columbia
Vagelos College of Physicians and Surgeons, 1 Hospital Plaza, Stamford, CT
06902, USA. Emails: ;
| | | | - Michael Brownlee
- Einstein Diabetes Research Center,
Professor of Medicine and Pathology Emeritus, Albert Einstein College of Medicine,
Bronx, NY, USA
| | | | | | - Sherose Chaudry
- Division of Critical Care, Department
of Medicine, Stamford Hospital, and the Columbia Vagelos College of Physicians and
Surgeons, Stamford, CT, USA
| | - Krista Dionne
- Division of Critical Care, Department
of Medicine, Stamford Hospital, and the Columbia Vagelos College of Physicians and
Surgeons, Stamford, CT, USA
| | - Camilla Heluey-Rodrigues
- Division of Critical Care, Department
of Medicine, Stamford Hospital, and the Columbia Vagelos College of Physicians and
Surgeons, Stamford, CT, USA
| | | | - Irl B. Hirsch
- University of Washington Medicine
Diabetes Institute, Seattle, WA, USA
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16
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Expert consensus on the glycemic management of critically ill patients. JOURNAL OF INTENSIVE MEDICINE 2022; 2:131-145. [PMID: 36789019 PMCID: PMC9923981 DOI: 10.1016/j.jointm.2022.06.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 06/02/2022] [Accepted: 06/06/2022] [Indexed: 11/21/2022]
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17
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Lou R, Jiang L, Wang M, Zhu B, Jiang Q, Wang P. Association Between Glycemic Gap and Mortality in Critically Ill Patients with Diabetes. J Intensive Care Med 2022; 38:42-50. [PMID: 35611506 DOI: 10.1177/08850666221101856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVES Dysglycemia is associated with poor outcomes in critically ill patients,which is uncertain in patients with diabetes regarding to the situation of glucose control before hospitalization. This study was aimed to investigate the effect of the difference between the level of blood glucose during ICU stay and before admission to ICU upon the outcomes of critically ill patients with diabetes. METHOD Patients with diabetes expected to stay for more than 24hs were enrolled, HbA1c was converted to A1C-derived average glucose (ADAG) by the equation: ADAG = [ (HbA1c * 28.7) - 46.7 ] * 18-1, blood glucose were measured four times a day during the first 7 days after admission, the mean glucose level(MGL) and SOFA (within 3, 5, and 7days) were calculated for each person, GAPadm and GAPmean was calculated as admission blood glucose and MGL minus ADAG, the incidence of moderate hypoglycemia(MH), severe hypoglycemia (SH), total dosage of glucocorticoids and average daily dosage of insulin, duration of renal replacement therapy(RRT), ventilator-free hours, and non-ICU days were also collected. Patients were divided into survival group and nonsurvival group according to survival or not at 28-day, the relationship between GAP and mortality were analyzed. RESULTS 431 patients were divided into survival group and nonsurvival group. The two groups had a comparable level of HbA1c, the nonsurvivors had greater APACHE II, SOFA, GAPadm, GAPmean-3, GAPmean-5, GAPmean-7 and higher MH and SH incidences. Less duration of ventilator-free, non-ICU stay and longer duration of RRT were recorded in the nonsurvival group. GAPmean-5 had the greatest predictive power with an AUC of 0.807(95%CI: 0.762-0.851), the cut-off value was 3.6 mmol/L (sensitivity 77.7% and specificity 76.6%). The AUC was increased to 0.852(95%CI: 0.814-0.889) incorporated with SOFA5 (NRI = 11.34%). CONCLUSION Glycemic GAP between the MGL within 5 days and ADAG was independently associated with 28-day mortality of critically ill patients with diabetes. The predictive power was optimized with addition of SOFA5.
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Affiliation(s)
- Ran Lou
- Department of Crtical Care Medicine, 71044Xuanwu Hospital Capital Medical University, 45Changchun Street, Xicheng District, Beijing 100053, China
| | - Li Jiang
- Department of Crtical Care Medicine, 71044Xuanwu Hospital Capital Medical University, 45Changchun Street, Xicheng District, Beijing 100053, China
| | - Meiping Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China
| | - Bo Zhu
- Department of Critical Care Medicine, 71043Fu Xing Hospital, Capital Medical University, 20A Fuxingmenwai Street, Xicheng District, Beijing 100038, China
| | - Qi Jiang
- Department of Critical Care Medicine, 71043Fu Xing Hospital, Capital Medical University, 20A Fuxingmenwai Street, Xicheng District, Beijing 100038, China
| | - Peng Wang
- Department of Critical Care Medicine, 71043Fu Xing Hospital, Capital Medical University, 20A Fuxingmenwai Street, Xicheng District, Beijing 100038, China
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18
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Chou A, Carloni R, Xue W, Seeram V, Ferreira JA. Evaluation of glycemic control in critically ill patients with bacteremia: a retrospective, single-center cohort study. J Investig Med 2022; 70:1387-1391. [PMID: 35580916 DOI: 10.1136/jim-2021-002229] [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] [Accepted: 03/10/2022] [Indexed: 11/03/2022]
Abstract
Dysglycemia is a common complication in hospitalized patients and has been suggested to play a significant role in the pathology and virulence of patients with bacteremia. The literature evaluating this relationship in critically ill patients, however, is limited. This retrospective, single-center cohort study aimed to investigate the relationship of glycemic control with 28-day intensive care unit (ICU)-free days in critically ill patients with bacteremia. Glycemic control was evaluated and determined based on time in targeted blood glucose range (TIR) of 70-140 mg/dL. Using a threshold of 80%, patients were then categorized into 2 groups: TIR-lo (<80%) and TIR-hi (≥80%). Unadjusted data identified a significant difference in ICU-free days (TIR-lo 21.29 days vs TIR-hi 24.08 days, p=0.007). However, due to an excess of zero ICU-free days, a zero-inflated Poisson model was used for analysis and demonstrated that patients in the TIR-lo group were 2.57 times more likely to have zero ICU-free days (p=0.033), which was attributed to mortality. Of the survivors, no difference was seen with TIR status and the number of ICU-free days (p=0.780). These findings demonstrate that glycemic control may increase the likelihood of being liberated from the ICU within a 28-day period, which the authors attributed to increased survival. However, of the patients who left the ICU, glycemic control was not associated with a significant difference in the number of ICU-free days.
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Affiliation(s)
- Alaina Chou
- Department of Pharmacy, UF Health Jacksonville, Jacksonville, Florida, USA
| | - Rachael Carloni
- Department of Pharmacy, UF Health Jacksonville, Jacksonville, Florida, USA
| | - Wei Xue
- Department of Biostatistics, UF Health Shands Hospital, Gainesville, Florida, USA
| | - Vandana Seeram
- Department of Pulmonary and Critical Care Medicine, UF Health Jacksonville, Jacksonville, Florida, USA
| | - Jason A Ferreira
- Department of Pharmacy, UF Health Jacksonville, Jacksonville, Florida, USA
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19
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Ammar MA, Ammar AA, Wee T, Deshpande R, Band M, Akhtar S. Relationship Between Glucose Time in Range in Diabetic and Non-Diabetic Patients and Mortality in Critically Ill Patients. J Intensive Care Med 2022; 37:1625-1633. [DOI: 10.1177/08850666221098383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background: Shorter time spent in specific blood glucose ranges is associated with mortality benefit in critically ill patients. However, various time in range values are reported, each based on a specific blood glucose range. Objective: To evaluate relationship between percentage of time spent at various blood glucose ranges (TIR) and mortality in critically ill patients. Methods: Single-center, retrospective, cohort study that included adult patients admitted to ICU for at least one day. We evaluated the relationship between TIR at prespecified blood glucose ranges and hospital mortality in diabetic and non-diabetic patients Results: Of the 5287 patients included, 3705 (70.0%) were non-diabetic and 1582 were diabetic (29.9%). Diabetic patients had higher in-hospital mortality rate (15.8%) compared to non-diabetic patients (11.3%), p < 0.0001, and with higher incidence of hyperglycemia (77.8% vs. 39.4%) and hypoglycemia (14.3% vs. 10%) compared to non-diabetic patients, p < 0.0001. The highest median TIR for both diabetic [76% (49.1 − 97.8%)] and non-diabetic patients [100% (92.3--100%)] was at blood glucose range of 70-180 mg/dL. In non-diabetic cohort, the only optimal TIR of 40% at blood glucose range of 70-120 mg/dL was identified. Non-diabetic patients stratified into TIR 70-120 mg/dL > 40% reported significantly lower mortality (7.0%) rate compared to patients with TIR 70-120 mg/dL < 40% (15.7%), OR 0.52, 95% CI 0.27-0.97, adjusted-p = 0.03. In diabetic patients, no relationship was detected between TIR at all predefined glucose ranges and hospital mortality. Conclusion: Critically ill non-diabetic patients who spent at least 40% of time in blood glucose range of 70-120 mg/dL had improved survival. This association was not observed in diabetic patients.
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Affiliation(s)
- Mahmoud A. Ammar
- Department of Pharmacy, Yale New Haven Health System, 20 York Street, New Haven, CT, USA
| | - Abdalla A. Ammar
- Department of Pharmacy, Yale New Haven Health System, 20 York Street, New Haven, CT, USA
| | - Timothy Wee
- Department of Statistics and Data Science, Yale University, 24 Hillhouse Avenue, New Haven, CT, USA
| | - Ranjit Deshpande
- Department of Anesthesiology, Yale School of Medicine, 333 Cedar Street, New Haven, CT, USA
| | - Matthew Band
- Department of Surgery, Yale New Haven Health System, 20 York Street, New Haven, CT, USA
| | - Shamsuddin Akhtar
- Department of Anesthesiology, Yale School of Medicine, 333 Cedar Street, New Haven, CT, USA
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Relative Hypoglycemia and Lower Hemoglobin A1c-Adjusted Time in Band Are Strongly Associated With Increased Mortality in Critically Ill Patients. Crit Care Med 2022; 50:e664-e673. [PMID: 35132022 DOI: 10.1097/ccm.0000000000005490] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES To determine the associations of relative hypoglycemia and hemoglobin A1c-adjusted time in blood glucose (BG) band (HA-TIB) with mortality in critically ill patients. DESIGN Retrospective cohort investigation. SETTING University-affiliated adult medical-surgical ICU. PATIENTS Three thousand six hundred fifty-five patients with at least four BG tests and hemoglobin A1c (HbA1c) level admitted between September 14, 2014, and November 30, 2019. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Patients were stratified for HbA1c bands of <6.5%; 6.5-7.9%; greater than or equal to 8.0% with optimal affiliated glucose target ranges of 70-140, 140-180, and 180-250 mg/dL, respectively. HA-TIB, a new glycemic metric, defined the HbA1c-adjusted time in band. Relative hypoglycemia was defined as BG 70-110 mg/dL for patients with HbA1c ≥ 8.0%. Further stratification included diabetes status-no diabetes (NO-DM, n = 2,616) and preadmission treatment with or without insulin (DM-INS, n = 352; DM-No-INS, n = 687, respectively). Severity-adjusted mortality was calculated as the observed:expected mortality ratio (O:EMR), using the Acute Physiology and Chronic Health Evaluation IV prediction of mortality. Among NO-DM, mortality and O:EMR, decreased with higher TIB 70-140 mg/dL (p < 0.0001) and were lowest with TIB 90-100%. O:EMR was lower for HA-TIB greater than or equal to 50% than less than 50% and among all DM-No-INS but for DM-INS only those with HbA1 greater than or equal to 8.0%.Among all patients with hba1c greater than or equal to 8.0% And no bg less than 70 mg/dl, mortality was 18.0% For patients with relative hypoglycemia (bg, 70-110 mg/dl) (p < 0.0001) And was 0.0%, 12.9%, 13.0%, And 34.8% For patients with 0, 0.1-2.9, 3.0-11.9, And greater than or equal to 12.0 Hours of relative hypoglycemia (p < 0.0001). CONCLUSIONS These findings have considerable bearing on interpretation of previous trials of intensive insulin therapy in the critically ill. Moreover, they suggest that BG values in the 70-110 range may be deleterious for patients with HbA1c greater than or equal to 8.0% and that the appropriate target for BG should be individualized to HbA1c levels. These conclusions need to be tested in randomized trials.
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Lou R, Jiang L, Zhu B. Effect of glycemic gap upon mortality in critically ill patients with diabetes. J Diabetes Investig 2021; 12:2212-2220. [PMID: 34075715 PMCID: PMC8668057 DOI: 10.1111/jdi.13606] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 05/21/2021] [Accepted: 05/26/2021] [Indexed: 11/29/2022] Open
Abstract
AIMS/INTRODUCTION Hyperglycemia, hypoglycemia, and blood glucose fluctuation are associated with the outcome in critically ill patients, but the target of blood glucose control is debatable especially in patients with diabetes regarding the status of blood glucose control before admission to ICU. This study aimed to investigate the association between the glycemic gap which is calculated as the mean blood glucose level during the first 7 days after admission to ICU minus the A1C-derived average glucose and the outcome of critically ill patients with diabetes. METHOD This study was undertaken in two intensive care units (ICUs) with a total of 30 beds. Patients with diabetes who were expected to stay for more than 24 h were enrolled, the HbA1c was tested within 3 days after admission and converted to the A1C-derived average glucose (ADAG) by the equation: ADAG = [(HbA1c * 28.7) - 46.7 ] * 18-1 , arterial blood glucose measurements were four per day routinely during the first 7 days after admission, the APACHE II score within the first 24 h, the mean blood glucose level (MGL), standard deviation (SD), and coefficient of variation (CV) during the first 7 days were calculated for each person, the GAPadm and GAPmean were calculated as the admission blood glucose and MGL minus the ADAG, respectively, the incidence of moderate hypoglycemia (MH) and severe hypoglycemia (SH), the total dosage of glucocorticoids and average daily dosage of insulin within 7 days, the duration of renal replacement therapy (RRT), ventilator-free hours, and non-ICU stay days within 28 days were also collected. The enrolled patients were divided into a survival group and a nonsurvival group according to survival or not at 28 days and 1 year after admission, and the relationship between parameters derived from blood glucose and mortality in the enrolled critically ill patients was explored. RESULTS Five hundred and two patients were enrolled and divided into a survival group (n = 310) and a nonsurvival group (n = 192). It was shown that the two groups had a comparable level of HbA1c, the nonsurvivors had a greater APACHE II, MGL, SD, CV, GAPadm , GAPmean , and a higher incidence of hypoglycemia. A lesser duration of ventilator-free, non-ICU stay, and a longer duration of RRT were recorded in the nonsurvival group, who received a lower carbohydrate intake, a higher daily dosage of insulin and glucocorticoid. GAPmean had the greatest predictive power with an AUC of 0.820 (95%CI: 0.781-0.850), the cut-off value was 3.60 mmol/L (sensitivity 78.2% and specificity 77.3%). Patients with a low GAPmean tended to survive longer than the high GAPmean group 1 year after admission. CONCLUSIONS Glycemic GAP between the mean level of blood glucose within the first 7 days after admission to ICU and the A1C-derived average glucose was independently associated with a 28 day mortality of critically ill patients with diabetes, the predictive power extended to 1 year. The incidence of hypoglycemia was associated with mortality either.
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Affiliation(s)
- Ran Lou
- Department of Critical Care MedicineXuanwu HospitalCapital Medical UniversityBeijingChina
| | - Li Jiang
- Department of Critical Care MedicineXuanwu HospitalCapital Medical UniversityBeijingChina
| | - Bo Zhu
- Department of Critical Care MedicineFu Xing HospitalCapital Medical UniversityBeijingChina
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22
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Individualised versus conventional glucose control in critically-ill patients: the CONTROLING study-a randomized clinical trial. Intensive Care Med 2021; 47:1271-1283. [PMID: 34590159 PMCID: PMC8550173 DOI: 10.1007/s00134-021-06526-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 09/02/2021] [Indexed: 12/21/2022]
Abstract
Purpose Hyperglycaemia is an adaptive response to stress commonly observed in critical illness. Its management remains debated in the intensive care unit (ICU). Individualising hyperglycaemia management, by targeting the patient’s pre-admission usual glycaemia, could improve outcome. Methods In a multicentre, randomized, double-blind, parallel-group study, critically-ill adults were considered for inclusion. Patients underwent until ICU discharge either individualised glucose control by targeting the pre-admission usual glycaemia using the glycated haemoglobin A1c level at ICU admission (IC group), or conventional glucose control by maintaining glycaemia below 180 mg/dL (CC group). A non-commercial web application of a dynamic sliding-scale insulin protocol gave to nurses all instructions for glucose control in both groups. The primary outcome was death within 90 days. Results Owing to a low likelihood of benefit and evidence of the possibility of harm related to hypoglycaemia, the study was stopped early. 2075 patients were randomized; 1917 received the intervention, 942 in the IC group and 975 in the CC group. Although both groups showed significant differences in terms of glycaemic control, survival probability at 90-day was not significantly different (IC group: 67.2%, 95% CI [64.2%; 70.3%]; CC group: 69.6%, 95% CI [66.7%; 72.5%]). Severe hypoglycaemia (below 40 mg/dL) occurred in 3.9% of patients in the IC group and in 2.5% of patients in the CC group (p = 0.09). A post hoc analysis showed for non-diabetic patients a higher risk of 90-day mortality in the IC group compared to the CC group (HR 1.3, 95% CI [1.05; 1.59], p = 0.018). Conclusion Targeting an ICU patient’s pre-admission usual glycaemia using a dynamic sliding-scale insulin protocol did not demonstrate a survival benefit compared to maintaining glycaemia below 180 mg/dL. Supplementary Information The online version contains supplementary material available at 10.1007/s00134-021-06526-8.
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Juan-Díaz M, Mateu-Campos ML, Sánchez-Miralles A, Martínez Quintana ME, Mesejo-Arizmendi A. Recommendations for specialized nutritional-metabolic management of the critical patient: Monitoring and safety. Metabolism and Nutrition Working Group of the Spanish Society of Intensive and Critical Care Medicine and Coronary Units (SEMICYUC). Med Intensiva 2021; 44 Suppl 1:44-51. [PMID: 32532410 DOI: 10.1016/j.medin.2019.12.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Revised: 11/21/2019] [Accepted: 12/15/2019] [Indexed: 12/20/2022]
Affiliation(s)
- M Juan-Díaz
- Servicio de Medicina Intensiva, Hospital Clínico Universitario de Valencia, Valencia, España.
| | - M L Mateu-Campos
- Servicio de Medicina Intensiva, Hospital General Universitario de Castellón, Castellón, España
| | - A Sánchez-Miralles
- Servicio de Medicina Intensiva, Hospital Universitario San Juan de Alicante, San Juan de Alicante, Alicante, España
| | - M E Martínez Quintana
- Servicio de Medicina Intensiva, Hospital General Universitario Los Arcos del Mar Menor, Pozo Aledo, Murcia, España
| | - A Mesejo-Arizmendi
- Servicio de Medicina Intensiva, Hospital Clínico Universitario de Valencia, Valencia, España
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The Interaction of Acute and Chronic Glycemia on the Relationship of Hyperglycemia, Hypoglycemia, and Glucose Variability to Mortality in the Critically Ill. Crit Care Med 2021; 48:1744-1751. [PMID: 33031146 DOI: 10.1097/ccm.0000000000004599] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
OBJECTIVES To determine the relationship between preadmission glycemia, reflected by hemoglobin A1c level, glucose metrics, and mortality in critically ill patients. DESIGN Retrospective cohort investigation. SETTING University affiliated adult medical-surgical ICU. PATIENTS The investigation included 5,567 critically ill patients with four or more blood glucose tests and hemoglobin A1c level admitted between October 11, 2011 and November 30, 2019. The target blood glucose level was 90-120 mg/dL for patients admitted before September 14, 2014 (n = 1,614) and 80-140 mg/dL or 110-160 mg/dL for patients with hemoglobin A1c less than 7% or greater than or equal to 7% (n = 3,953), respectively, subsequently. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Patients were stratified by hemoglobin A1c: less than 6.5.(n = 4,406), 6.5-7.9% (n = 711), and greater than or equal to 8.0% (n = 450). Increasing hemoglobin A1c levels were associated with significant increases in mean glycemia, glucose variability, as measured by coefficient of variation, and hypoglycemia (p for trend < 0.0001, < 0.0001, and 0.0010, respectively). Among patients with hemoglobin A1c less than 6.5%, mortality increased as mean glycemia increased; however, among patients with hemoglobin A1c greater than or equal to 8.0%, the opposite relationship was observed (p for trend < 0.0001 and 0.0027, respectively). Increasing glucose variability was independently associated with increasing mortality only among patients with hemoglobin A1c less than 6.5%. Hypoglycemia was independently associated with higher mortality among patients with hemoglobin A1c less than 6.5% and 6.5-7.9% but not among those with hemoglobin A1c greater than or equal to 8.0%. Mean blood glucose 140-180 and greater than or equal to 180 mg/dL were independently associated with higher mortality among patients with hemoglobin A1c less than 6.5% (p < 0.0001 for each). Among patients with hemoglobin A1c greater than or equal to 8.0% treated in the second era, mean blood glucose greater than or equal to 180 mg/dL was independently associated with decreased risk of mortality (p = 0.0358). CONCLUSIONS Preadmission glycemia, reflected by hemoglobin A1c obtained at the onset of ICU admission, has a significant effect on the relationship of ICU glycemia to mortality. The different responses to increasing mean glycemia support a personalized approach to glucose control practices in the ICU.
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Shirvani F, Sedighi M, Shahzamani M. Metabolic disturbance affects postoperative cognitive function in patients undergoing cardiopulmonary bypass. Neurol Sci 2021; 43:667-672. [PMID: 33973078 DOI: 10.1007/s10072-021-05308-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Accepted: 05/05/2021] [Indexed: 12/19/2022]
Abstract
OBJECTIVES Postoperative delirium is a common neuropsychiatric syndrome after coronary artery bypass grafting (CABG). We aimed to assess and compare clinical outcomes of CABG patients with delirium with a specific focus on the blood biochemical parameters. METHODS This investigation was carried out on the 90 eligible patients undergoing CABG. Delirium was measured using the Neecham confusion scale and assessed patients were divided into two groups of delirium (n = 43) and non-delirium (n = 47). Preoperative variables and intraoperative and postoperative outcomes were compared. RESULTS Delirium patients were older (p = 0.003) and had longer intubation time (p = 0.003). Non-delirium patients obtained a significantly higher Neecham confusion score (p = 0.001), and delirium patients experienced a hyperglycemic state at intraoperative (p = 0.004), intubation (p = 0.03), and extubation time (p = 0.02). Lower value of pH was seen at intubation (p = 0.03) and extubation periods (p = 0.001) in delirium group. A significant difference in base excess was observed between two groups at intubation (p = 0.04) and extubation periods (p = 0.004). Potassium level showed a significant decrease in delirium group at intubation (p = 0.01) and extubation periods (p = 0.001). Multivariate regression indicated that aging (OR = 1.08, p = 0.01), narcotic consumption (OR = 3.27, p = 0.05), DM (OR = 3.03, p=0.03), and prolonged intubation (OR = 1.18, p = 0.03) are predictors of delirium. Postoperative hyperglycemia (OR = 1.01, p = 0.002), low pH value (OR = 2.62, p = 0.02), and low potassium level (OR = 3.25, p = 0.03) are associated with development of delirium. CONCLUSIONS Postoperative metabolic disturbance and electrolyte imbalances are closely related to the development of delirium after CABG and need to be considered more carefully. Aging, DM, and preoperative use of narcotics are strong predictors of delirium following CABG.
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Affiliation(s)
- Fahimeh Shirvani
- Cardiac Intensive Care Unit, Shahid Chamran Heart Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mohsen Sedighi
- Neuroscience Research Center, Iran University of Medical Sciences, Tehran, Iran.
| | - Mehran Shahzamani
- Department of Cardiovascular Surgery, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
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Farooq N, Chuan B, Mahmud H, El Khoudary SR, Nouraie SM, Evankovich J, Yang L, Dunlap D, Bain W, Kitsios G, Zhang Y, O’Donnell CP, McVerry BJ, Shah FA. Association of the systemic host immune response with acute hyperglycemia in mechanically ventilated septic patients. PLoS One 2021; 16:e0248853. [PMID: 33755703 PMCID: PMC7987165 DOI: 10.1371/journal.pone.0248853] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Accepted: 03/07/2021] [Indexed: 12/13/2022] Open
Abstract
Hyperglycemia during sepsis is associated with increased organ dysfunction and higher mortality. The role of the host immune response in development of hyperglycemia during sepsis remains unclear. We performed a retrospective analysis of critically ill adult septic patients requiring mechanical ventilation (n = 153) to study the relationship between hyperglycemia and ten markers of the host injury and immune response measured on the first day of ICU admission (baseline). We determined associations between each biomarker and: (1) glucose, insulin, and c-peptide levels at the time of biomarker collection by Pearson correlation; (2) average glucose and glycemic variability in the first two days of ICU admission by linear regression; and (3) occurrence of hyperglycemia (blood glucose>180mg/dL) by logistic regression. Results were adjusted for age, pre-existing diabetes mellitus, severity of illness, and total insulin and glucocorticoid dose. Baseline plasma levels of ST2 and procalcitonin were positively correlated with average blood glucose and glycemic variability in the first two days of ICU admission in unadjusted and adjusted analyses. Additionally, higher baseline ST2, IL-1ra, procalcitonin, and pentraxin-3 levels were associated with increased risk of hyperglycemia. Our results suggest associations between the host immune response and hyperglycemia in critically ill septic patients particularly implicating the interleukin-1 axis (IL-1ra), the interleukin-33 axis (ST2), and the host response to bacterial infections (procalcitonin, pentraxin-3).
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Affiliation(s)
- Nauman Farooq
- Division of General Internal Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Byron Chuan
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Hussain Mahmud
- Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Samar R. El Khoudary
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Seyed Mehdi Nouraie
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - John Evankovich
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Libing Yang
- School of Medicine, Tsinghua University, Haidian District, Beijing, China
| | - Daniel Dunlap
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - William Bain
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
- VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, United States of America
| | - Georgios Kitsios
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Yingze Zhang
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Christopher P. O’Donnell
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Bryan J. McVerry
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Faraaz Ali Shah
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
- VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, United States of America
- * E-mail:
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Lin S, He W, Zeng M. Association of Diabetes and Admission Blood Glucose Levels with Short-Term Outcomes in Patients with Critical Illnesses. J Inflamm Res 2020; 13:1151-1166. [PMID: 33376380 PMCID: PMC7764887 DOI: 10.2147/jir.s287510] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 12/04/2020] [Indexed: 12/16/2022] Open
Abstract
Background Association of diabetes and admission glucose on the short-term prognosis in patients with critical illnesses are currently ambiguous. We aimed to determine whether diabetes and admission glucose affects short-term prognosis of critically ill patients. Methods We performed a retrospective analysis of data on 46,476 critically ill patients from the critical care database. Association of diabetes with 28-day mortality was assessed by inverse probability weighting based on the propensity score. Smoothing splines and threshold effect analysis were applied to explore the relationship between admission glucose and clinical outcomes. Results Of the 33,680 patients enrolled in the study, 8,701 (25.83%) had diabetes. In the main analysis, the 28-day mortality was reduced by 29% (hazard ratio (HR)=0.71, 95% confidence interval (CI) 0.67–0.76) in patients with diabetes compared to those without diabetes. The E-value of 2.17 indicated robustness to unmeasured confounders. Significant interactions were observed for glucose at ICU admission, admission type, and insulin use (Interaction P <0.05). A V-shaped relationship was observed between admission glucose and 28-day mortality in non-diabetic patients, with the lowest 28-day mortality corresponding to a glucose level of 101.75 mg/dl (95% CI 94.64–105.80 mg/dl), and admission hypoglycemia or hyperglycemia should be avoided, especially in patients admitted to the surgical intensive care unit (SICU), cardiac surgery recovery unit (CSRU), and coronary care unit (CCU); for diabetic patients, elevated admission glucose does not appear to be associated with a poor prognosis and perhaps may be beneficial except for CCU and CSRU. Conclusion The non-detrimental effect of diabetes on the short-term prognosis of critically ill patients was further confirmed, which would reduce 28-day mortality by approximately 29%. For non-diabetic patients, the admission glucose level corresponding to the lowest 28-day mortality was 101.75 mg/dl (95% CI 94.64–105.80 mg/dl); however, for diabetics, the appropriate admission glucose threshold remains unresolved.
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Affiliation(s)
- Shan Lin
- Department of Medical Intensive Care Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China
| | - Wanmei He
- Department of Medical Intensive Care Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China
| | - Mian Zeng
- Department of Medical Intensive Care Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China
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Algarni KD. The effect of hyperlactatemia timing on the outcomes after cardiac surgery. THE CARDIOTHORACIC SURGEON 2020. [DOI: 10.1186/s43057-020-00029-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Several studies linked postoperative hyperlactatemia to worse outcomes in adult patients undergoing cardiac surgery. However, data on the effect of timing of hyperlactatemia on outcomes are scarce. We sought to determine the prevalence of early hyperlactatemia (EHL) and its impact on clinical outcomes compared to late hyperlactatemia (LHL) in patients undergoing ACS procedures.
Results
We included 305 consecutive adult patients who underwent cardiac surgery procedures between July 2017 and Nov 2019 at a single institution. Lactate level was measured in the first 10 h after surgery and EHL was defined as lactate level > 3 mmol/L in the first hour after surgery. Logistic regression analysis was performed to determine predictors of EHL. Seventeen percent (n = 52) had EH while 83% (n = 253) did not. Patients with EHL had significantly longer cardiopulmonary bypass (P = 0.001) and cross-clamp (P = 0.001) times due to increased surgical complexity in this group. Early hyperlactatemia was associated with increased post-operative extracorporeal membrane oxygenation (ECMO) support (0% vs 5.7%, P < 0.001), longer intensive care unit stay (P = 0.004), and increased hospital mortality (0% vs. 3.8%, P = 0.009). Cardiopulmonary bypass time (OR 1.001; 95% CI 1.011–1.012, P = 0.02) and glucose level (OR 1.2; 95% CI 1.1–1.3, P = 0.003) were independently associated with increased rate of EHL. In contrast, diabetes mellitus (OR 0.26; 95% CI 0.12–0.55, P < 0.001) significantly attenuated the rate of EHL.
Conclusions
Early hyperlactatemia after cardiac surgery was associated with increased morbidity and mortality. Late hyperlactatemia was very common and had a self-limiting and benign course.
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Abstract
Hyperglycemia is a common phenomenon in critically ill patients, even in those without diabetes. Two landmark studies established the benefits of tight glucose control (blood glucose target 80-110 mg/dL) in surgical and medical patients. Since then, literature has consistently demonstrated that both hyperglycemia and hypoglycemia are independently associated with increased morbidity and mortality in a variety of critically ill patients. However, tight glycemic control has subsequently come into question due to risks of hypoglycemia and increased mortality. More recently, strategies targeting euglycemia (blood glucose ≤180 mg/dL) have been associated with improved outcomes, although the risk of hypoglycemia remains. More complex targets (ie, glycemic variability and time within target glucose range) and the impact of individual patient characteristics (ie, diabetic status and prehospital glucose control) have more recently been shown to influence the relationship between glycemic control and outcomes in critically ill patients. Although our understanding has increased, the optimal glycemic target is still unclear and glucose management strategies may require adjustment for individual patient characteristics. As glucose management increases in complexity, we realize that traditional means of using meters and strips and paper insulin titration algorithms are potential limitations to our success. To achieve these complex goals for glycemic control, the use of continuous or near-continuous glucose monitoring combined with computerized insulin titration algorithms may be required. The purpose of this review is to discuss the evidence surrounding the various domains of glycemic control and the emerging data supporting the need for individualized glucose targets in critically ill patients.
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Abstract
PURPOSE OF REVIEW To summarize the advances in literature that support the best current practices regarding glucose control in the critically ill. RECENT FINDINGS There are differences between patients with and without diabetes regarding the relationship of glucose metrics during acute illness to mortality. Among patients with diabetes, an assessment of preadmission glycemia, using measurement of Hemoglobin A1c (HgbA1c) informs the choice of glucose targets. For patients without diabetes and for patients with low HgbA1c levels, increasing mean glycemia during critical illness is independently associated with increasing risk of mortality. For patients with poor preadmission glucose control the appropriate blood glucose target has not yet been established. New metrics, including stress hyperglycemia ratio and glycemic gap, have been developed to describe the relationship between acute and chronic glycemia. SUMMARY A 'personalized' approach to glycemic control in the critically ill, with recognition of preadmission glycemia, is supported by an emerging literature and is suitable for testing in future interventional trials.
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Chao WC, Tseng CH, Wu CL, Shih SJ, Yi CY, Chan MC. Higher glycemic variability within the first day of ICU admission is associated with increased 30-day mortality in ICU patients with sepsis. Ann Intensive Care 2020; 10:17. [PMID: 32034567 PMCID: PMC7007493 DOI: 10.1186/s13613-020-0635-3] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2019] [Accepted: 01/30/2020] [Indexed: 12/29/2022] Open
Abstract
Background High glycemic variability (GV) is common in critically ill patients; however, the prevalence and mortality association with early GV in patients with sepsis remains unclear. Methods This retrospective cohort study was conducted in a medical intensive care unit (ICU) in central Taiwan. Patients in the ICU with sepsis between January 2014 and December 2015 were included for analysis. All of these patients received protocol-based management, including blood sugar monitoring every 2 h for the first 24 h of ICU admission. Mean amplitude of glycemic excursions (MAGE) and coefficient of variation (CoV) were used to assess GV. Results A total of 452 patients (mean age 71.4 ± 14.7 years; 76.7% men) were enrolled for analysis. They were divided into high GV (43.4%, 196/452) and low GV (56.6%, 256/512) groups using MAGE 65 mg/dL as the cut-off point. Patients with high GV tended to have higher HbA1c (6.7 ± 1.8% vs. 5.9 ± 0.9%, p < 0.01) and were more likely to have diabetes mellitus (DM) (50.0% vs. 23.4%, p < 0.01) compared with those in the low GV group. Kaplan–Meier analysis showed that a high GV was associated with increased 30-day mortality (log-rank test, p = 0.018). The association remained strong in the non-DM (log-rank test, p = 0.035), but not in the DM (log-rank test, p = 0.254) group. Multivariate Cox proportional hazard regression analysis identified that high APACHE II score (adjusted hazard ratio (aHR) 1.045, 95% confidence interval (CI) 1.013–1.078), high serum lactate level at 0 h (aHR 1.009, 95% CI 1.003–1.014), having chronic airway disease (aHR 0.478, 95% CI 0.302–0.756), high mean day 1 glucose (aHR 1.008, 95% CI 1.000–1.016), and high MAGE (aHR 1.607, 95% CI 1.008–2.563) were independently associated with increased 30-day mortality. The association with 30-day mortality remained consistent when using CoV to assess GV. Conclusions We found that approximately 40% of the septic patients had a high early GV, defined as MAGE > 65 mg/dL. Higher GV within 24 h of ICU admission was independently associated with increased 30-day mortality. These findings highlight the need to monitor GV in septic patients early during an ICU admission.
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Affiliation(s)
- Wen-Cheng Chao
- Division of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, 1650 Taiwan Boulevard Sect. 4, Taichung, 40705, Taiwan.,Department of Critical Care Medicine, Taichung Veterans General Hospital, 1650 Taiwan Boulevard Sect. 4, Taichung, 40705, Taiwan
| | - Chien-Hua Tseng
- Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan.,Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Chieh-Liang Wu
- Division of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, 1650 Taiwan Boulevard Sect. 4, Taichung, 40705, Taiwan.,Center of Quality Management, Taichung Veterans General Hospital, 1650 Taiwan Boulevard Sect. 4, Taichung, 40705, Taiwan.,Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan
| | - Sou-Jen Shih
- Department of Nursing, Taichung Veterans General Hospital, 1650 Taiwan Boulevard Sect. 4, Taichung, 40705, Taiwan
| | - Chi-Yuan Yi
- Department of Nursing, Taichung Veterans General Hospital, 1650 Taiwan Boulevard Sect. 4, Taichung, 40705, Taiwan
| | - Ming-Cheng Chan
- Division of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, 1650 Taiwan Boulevard Sect. 4, Taichung, 40705, Taiwan. .,Division of Critical Care and Respiratory Therapy, Department of Internal Medicine, Taichung Veterans General Hospital, 1650 Taiwan Boulevard Sect. 4, Taichung, 40705, Taiwan. .,Central Taiwan University of Science and Technology, Taichung, Taiwan. .,The College of Science, Tunghai University, Taichung, 40704, Taiwan.
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Abstract
PURPOSE OF REVIEW To provide an update of glycemic management during metabolic stress related to surgery or critical illness. RECENT FINDINGS There is a clear association between severe hyperglycemia, hypoglycemia, and high glycemic variability and poor outcomes of postoperative or critically ill patients. However, the impressive beneficial effects of tight glycemic management (TGM) by intensive insulin therapy reported in one study were never reproduced. Hence, the recommendation of TGM is now replaced by more liberal blood glucose (BG) targets (< 180 mg/dL or 10 mM). Recent data support the concept of targeting individualized blood glucose (BG) values according to the presence of diabetes mellitus/chronic hyperglycemia, the presence of brain injury, and the time from injury. A more liberal glycemic management goal is currently advised during metabolic stress and could be switched to individualized glycemic management once validated by prospective trials.
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Affiliation(s)
- Wasineenart Mongkolpun
- Department of Intensive Care, Erasme University Hospital, Université Libre de Bruxelles, Route de Lennik, 808, 1070, Brussels, Belgium
| | - Bruna Provenzano
- Department of Intensive Care, Erasme University Hospital, Université Libre de Bruxelles, Route de Lennik, 808, 1070, Brussels, Belgium
| | - Jean-Charles Preiser
- Department of Intensive Care, Erasme University Hospital, Université Libre de Bruxelles, Route de Lennik, 808, 1070, Brussels, Belgium.
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Lake A, Arthur A, Byrne C, Davenport K, Yamamoto JM, Murphy HR. The effect of hypoglycaemia during hospital admission on health-related outcomes for people with diabetes: a systematic review and meta-analysis. Diabet Med 2019; 36:1349-1359. [PMID: 31441089 PMCID: PMC7004204 DOI: 10.1111/dme.14115] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/20/2019] [Indexed: 12/15/2022]
Abstract
AIM To assess the health-related outcomes of hypoglycaemia for people with diabetes admitted to hospital; specifically, hospital length of stay and mortality. METHODS We conducted a systematic review and meta-analysis of studies relating to hypoglycaemia (< 4 mmol/l) for hospitalized adults (≥ 16 years) with diabetes reporting the primary outcomes of interest, hospital length of stay or mortality. Final papers for inclusion were reviewed in duplicate and the adjusted results of each were pooled, using a random effects model then undergoing further prespecified subgroup analysis. RESULTS In total, 15 studies were included in the meta-analysis. The pooled mean difference in length of stay for ward-based inpatients exposed to hypoglycaemia was 4.1 days longer [95% confidence interval (CI) 2.36 to 5.79; I² = 99%] compared with those without hypoglycaemia. This association remained robust across the pre-specified subgroup analyses. The pooled relative risk (RR) of in-hospital mortality was greater for those exposed to hypoglycaemia (RR 2.09, 95% CI 1.64 to 2.67; I² = 94%, n = 7 studies) but not in intensive care unit mortality (RR 0.75, 95% CI 0.49 to 1.16; I² =0%, n = 2 studies). CONCLUSION There is an association between inpatient hypoglycaemia and longer length of stay and greater in-hospital mortality. Studies examining this association were heterogenous in terms of both clinical populations and effect size, but the overall direction of the association was consistent. Therefore, glucose concentration should be considered a potential tool to aid the identification of inpatients at risk of poor health-related outcomes.
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Affiliation(s)
- A. Lake
- Cambridge University Hospitals NHS Foundation TrustCambridgeUK
- University of East AngliaNorwich Research ParkNorwichUK
| | - A. Arthur
- University of East AngliaNorwich Research ParkNorwichUK
| | - C. Byrne
- Cambridge University Hospitals NHS Foundation TrustCambridgeUK
| | - K. Davenport
- Cambridge University Hospitals NHS Foundation TrustCambridgeUK
| | - J. M. Yamamoto
- Departments of Medicine and Obstetrics and GynaecologyUniversity of CalgaryCalgaryAlbertaCanada
- Alberta Children's Hospital Research InstituteCalgaryAlbertaCanada
| | - H. R. Murphy
- Cambridge University Hospitals NHS Foundation TrustCambridgeUK
- University of East AngliaNorwich Research ParkNorwichUK
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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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Percentage of Time in Range 70 to 139 mg/dL Is Associated With Reduced Mortality Among Critically Ill Patients Receiving IV Insulin Infusion. Chest 2019; 156:878-886. [PMID: 31201784 DOI: 10.1016/j.chest.2019.05.016] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 04/25/2019] [Accepted: 05/06/2019] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND In addition to hyperglycemia, hypoglycemia, and glycemic variability, reduced time in targeted blood glucose range (TIR) is associated with increased risk of death in critically ill patients. This relation between TIR and mortality may be confounded by diabetic status and antecedent glycemic control. METHODS This study retrospectively analyzed critically ill patients managed with the same IV insulin protocol at multiple centers. The percentage of TIR between 70 and 139 mg/dL was calculated. Patients with diabetic ketoacidosis, patients who had < 10 blood glucose readings, and patients with repeat admissions were excluded. The highest recorded glycosylated hemoglobin value in the preceding 3 months or up to 1 month following admission were used as a surrogate for the patient's preexisting glucose control. Stratified regression analyses were performed for 30-day mortality, with covariates of age, sex, TIR ≥ 80%, Acute Physiology Score, and Charlson Comorbidity Index. RESULTS A total of 9,028 patients, 53.2% of whom had diabetes, were studied. Median TIR was 84.1% for nondiabetic patients and 64.5% for patients with diabetes. Mortality was lower in those with TIR > 80% compared with those with TIR ≤ 80% (12.4% vs 19.2%; P < .001). TIR > 80% was independently associated with reduced mortality in nondiabetic patients (OR, 0.52; P < .001), patients with diabetes (OR, 0.69; P = .001), and patients with well-controlled disease (OR, 0.50; P < .001) but not in patients with poorly controlled disease (OR, 0.86; P = .40). CONCLUSIONS TIR was independently associated with mortality in critically ill patients, particularly those with good antecedent glucose control.
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Umpierrez GE, Schwartz S. Use of incretin-based therapy in hospitalized patients with hyperglycemia. Endocr Pract 2019; 20:933-44. [PMID: 25100362 DOI: 10.4158/ep13471.ra] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVE Hyperglycemia is common in hospitalized patients with and without prior history of diabetes and is an independent marker of morbidity and mortality in critically and noncritically ill patients. Tight glycemic control using insulin has been shown to reduce cardiac morbidity and mortality in hospitalized patients, but it also results in hypoglycemic episodes, which have been linked to poor outcomes. Thus, alternative treatment options that can normalize blood glucose levels without undue hypoglycemia are being sought. Incretin-based therapies, such as glucagon-like peptide (GLP)-1 receptor agonists (RAs) and dipeptidyl peptidase (DPP)-4 inhibitors, may have this potential. METHODS A PubMed database was searched to find literature describing the use of incretins in hospital settings. Title searches included the terms "diabetes" (care, management, treatment), "hospital," "inpatient," "hypoglycemia," "hyperglycemia," "glycemic," "incretin," "dipeptidyl peptidase-4 inhibitor," "glucagon-like peptide-1," and "glucagon-like peptide-1 receptor agonist." RESULTS The preliminary research experience with native GLP-1 therapy has shown promise, achieving improved glycemic control with a low risk of hypoglycemia, counteracting the hyperglycemic effects of stress hormones, and improving cardiac function in patients with heart failure and acute ischemia. Large, randomized controlled clinical trials are necessary to determine whether these favorable results will extend to the use of GLP-1 RAs and DPP-4 inhibitors. CONCLUSIONS This review offers hospitalist physicians and healthcare providers involved in inpatient diabetes care a pathophysiologic-based approach for the use of incretin agents in patients with hyperglycemia and diabetes, as well as a summary of benefits and concerns of insulin and incretin-based therapy in the hospital setting.
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Affiliation(s)
| | - Stanley Schwartz
- Main Line Health System, University of Pennsylvania, Philadelphia, Pennsylvania
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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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van Steen SC, Rijkenberg S, van der Voort PHJ, DeVries JH. The association of intravenous insulin and glucose infusion with intensive care unit and hospital mortality: a retrospective study. Ann Intensive Care 2019; 9:29. [PMID: 30742240 PMCID: PMC6370891 DOI: 10.1186/s13613-019-0507-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 02/04/2019] [Indexed: 12/12/2022] Open
Abstract
Background We assessed the association of intravenous insulin and glucose infusion with intensive care unit (ICU) and hospital mortality. Methods For this retrospective association study, we used data from all patients admitted to a medical-surgical ICU between January 2012 and September 2017. We excluded patients admitted < 24 h, patients with a diabetic ketoacidosis, patients with a therapy restriction upon ICU admission and readmissions. Using multivariate logistic regression, we examined the relation between intravenous insulin and glucose infusion and ICU and hospital mortality for all patients. Additionally, we used the same model to analyze the outcomes for patients admitted > 72 h. Results Of 9507 eligible patients, 3966 were included. After correction for potential confounders, intravenous insulin was associated with ICU and hospital mortality in patients admitted > 24 h (n = 3966) (odds ratio (OR) 1.09 [95% CI 1.05–1.13] and 1.09 [95% CI 1.06–1.13] per 0.1 IU/kg added, respectively). Likewise, intravenous glucose was associated with ICU mortality (OR 1.01 [95% CI 1.00–1.01]) but not with hospital mortality and (OR 1.00 [95% CI 1.00–1.01]) per g/day added, respectively. In patients admitted > 72 h (n = 1550), insulin dose was associated with both ICU and hospital mortality (p = 0.002 and p < 0.001, respectively), but glucose infusion was not (p = 0.08 and p = 0.2, respectively). Conclusions Intravenous insulin administration is associated with an increased risk of ICU and hospital mortality, after correction for potential confounders. Parenteral glucose administration was limited in amount but was still associated with ICU mortality. However, based on these results, it is unknown whether this association is an epiphenomenon, or represents a true harm of insulin and glucose administration. Electronic supplementary material The online version of this article (10.1186/s13613-019-0507-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Sigrid C van Steen
- Department of Endocrinology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.,Department of Intensive Care, OLVG Hospital, P.O. Box 95500, 1090 HM, Amsterdam, The Netherlands
| | - Saskia Rijkenberg
- Department of Intensive Care, OLVG Hospital, P.O. Box 95500, 1090 HM, Amsterdam, The Netherlands
| | - Peter H J van der Voort
- Department of Intensive Care, OLVG Hospital, P.O. Box 95500, 1090 HM, Amsterdam, The Netherlands. .,TIAS, School for Business and Society, Tilburg University, Tilburg, The Netherlands.
| | - J Hans DeVries
- Department of Endocrinology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
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Mohr GH, Søndergaard KB, Pallisgaard JL, Møller SG, Wissenberg M, Karlsson L, Hansen SM, Kragholm K, Køber L, Lippert F, Folke F, Vilsbøll T, Torp-Pedersen C, Gislason G, Rajan S. Survival of patients with and without diabetes following out-of-hospital cardiac arrest: A nationwide Danish study. EUROPEAN HEART JOURNAL-ACUTE CARDIOVASCULAR CARE 2019; 9:599-607. [PMID: 30632777 DOI: 10.1177/2048872618823349] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Research regarding out-of-hospital cardiac arrest (OHCA) survival of diabetes patients is sparse and it remains unknown whether initiatives to increase OHCA survival benefit diabetes and non-diabetes patients equally. We therefore examined overall and temporal survival in diabetes and non-diabetes patients following OHCA. METHODS Adult presumed cardiac-caused OHCAs were identified from the Danish Cardiac Arrest Registry (2001-2014). Associations between diabetes and return of spontaneous circulation upon hospital arrival and 30-day survival were estimated with logistic regression adjusted for patient- and OHCA-related characteristics. RESULTS In total, 28,955 OHCAs were included of which 4276 (14.8%) had diabetes. Compared with non-diabetes patients, diabetes patients had more comorbidities, same prevalence of bystander-witnessed arrests (51.7% vs. 52.7%) and bystander cardiopulmonary resuscitation (43.2% vs. 42.0%), more arrests in residential locations (77.3% vs. 73.0%) and were less likely to have shockable heart rhythm (23.5% vs. 27.9%). Temporal increases in return of spontaneous circulation and 30-day survival were seen for both groups (return of spontaneous circulation: 8.8% in 2001 to 22.3% in 2014 (diabetes patients) vs. 7.8% in 2001 to 25.7% in 2014 (non-diabetes patients); and 30-day survival: 2.8% in 2001 to 9.7% in 2014 vs. 3.5% to 14.8% in 2014, respectively). In adjusted models, diabetes was associated with decreased odds of return of spontaneous circulation (odds ratio 0.74 (95% confidence interval 0.66-0.82)) and 30-day survival (odds ratio 0.56 (95% confidence interval 0.48-0.65)) (interaction with calendar year p=0.434 and p=0.243, respectively). CONCLUSION No significant difference in temporal survival was found between the two groups. However, diabetes was associated with lower odds of return of spontaneous circulation and 30-day survival.
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Affiliation(s)
- Grímur Høgnason Mohr
- Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Gentofte, Denmark
| | - Kathrine B Søndergaard
- Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Gentofte, Denmark
| | - Jannik L Pallisgaard
- Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Gentofte, Denmark
| | - Sidsel Gamborg Møller
- Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Gentofte, Denmark
| | - Mads Wissenberg
- Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Gentofte, Denmark.,Emergency Medical Services Copenhagen, University of Copenhagen, Denmark
| | - Lena Karlsson
- Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Gentofte, Denmark.,Emergency Medical Services Copenhagen, University of Copenhagen, Denmark
| | - Steen Møller Hansen
- Unit of Epidemiology and Biostatistics, Aalborg University Hospital, Denmark
| | - Kristian Kragholm
- Unit of Epidemiology and Biostatistics, Aalborg University Hospital, Denmark.,Department of Cardiology, Hjørring Regional Hospital, Denmark.,Department of Cardiology, Aalborg University Hospital, Denmark
| | - Lars Køber
- The Heart Centre, Rigshospitalet, University of Copenhagen, Denmark
| | - Freddy Lippert
- Emergency Medical Services Copenhagen, University of Copenhagen, Denmark
| | - Fredrik Folke
- Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Gentofte, Denmark.,Emergency Medical Services Copenhagen, University of Copenhagen, Denmark
| | - Tina Vilsbøll
- Clinical Metabolic Physiology, Steno Diabetes Centre Copenhagen, University of Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Christian Torp-Pedersen
- Unit of Epidemiology and Biostatistics, Aalborg University Hospital, Denmark.,Department of Cardiology, Aalborg University Hospital, Denmark.,Department of Health Science and Technology, Aalborg University, Denmark
| | - Gunnar Gislason
- Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Gentofte, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.,National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.,The Danish Heart Foundation, Copenhagen, Denmark
| | - Shahzleen Rajan
- Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Gentofte, Denmark
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Kotfis K, Szylińska A, Listewnik M, Brykczyński M, Ely EW, Rotter I. Diabetes and elevated preoperative HbA1c level as risk factors for postoperative delirium after cardiac surgery: an observational cohort study. Neuropsychiatr Dis Treat 2019; 15:511-521. [PMID: 30863073 PMCID: PMC6388975 DOI: 10.2147/ndt.s196973] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
INTRODUCTION Postoperative delirium (POD) is a common complication of cardiac surgery associated with increased mortality, morbidity, and long-term cognitive dysfunction. Diabetic patients, especially those with poor diabetes control and long-standing hyperglycemia, may be at risk of developing delirium. The aim of this study was to analyze whether the occurrence of POD in cardiac surgery is associated with diabetes or elevated preoperative glycated hemoglobin (HbA1c) level. MATERIALS AND METHODS We performed a cohort analysis of prospectively collected data from a register of cardiac surgery department of a university hospital. Delirium assessment was performed twice a day during the first 5 days after the operation based on Diagnostic Statistical Manual of Mental Disorders, fifth edition criteria. RESULTS We analyzed a cohort of 3,178 consecutive patients, out of which 1,010 (31.8%) were diabetic and 502 (15.8%) were diagnosed with POD. Patients with delirium were more often diabetic (42.03% vs 29.86%, P<0.001) and on oral diabetic medications (34.66% vs 24.07%, P<0.001), no difference was found in patients with insulin treatment. Preoperative HbA1c was elevated above normal (≥6%) in more delirious than nondelirious patients (44.54% vs 33.04%, P<0.001), but significance was reached only in nondiabetic patients (20.44% vs 14.86%, P=0.018). In univariate analysis, the diagnosis of diabetes was associated with an increased risk of developing POD (OR: 1.703, 95% CI: 1.401-2.071, P<0.001), but only for patients on oral diabetic medications (OR: 1.617, 95% CI: 1.319-1.983, P<0.001) and an association was noted between HbA1c and POD (OR: 1.269, 95% CI: 1.161-1.387, P<0.001). Multivariate analysis controlled for diabetes showed that POD was associated with age, heart failure, preoperative creatinine, extracardiac arteriopathy, and preoperative HbA1c level. CONCLUSION More diabetic patients develop POD after cardiac surgery than nondiabetic patients. Elevated preoperative HbA1c level is a risk factor for postcardiac surgery delirium regardless of the diagnosis of diabetes.
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Affiliation(s)
- Katarzyna Kotfis
- Department of Anesthesiology, Intensive Therapy and Acute Intoxications, Pomeranian Medical University, Szczecin, Poland
| | - Aleksandra Szylińska
- Department of Medical Rehabilitation and Clinical Physiotherapy, Pomeranian Medical University, Szczecin, Poland,
| | - Mariusz Listewnik
- Department of Cardiac Surgery, Pomeranian Medical University, Szczecin, Poland
| | | | - E Wesley Ely
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Geriatric Research, Education and Clinical Center (GRECC) Service, Department of Veterans Affairs Medical Center, Tennessee Valley Healthcare System, Nashville, TN, USA
| | - Iwona Rotter
- Department of Medical Rehabilitation and Clinical Physiotherapy, Pomeranian Medical University, Szczecin, Poland,
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Glucose variability during delirium in diabetic and non-diabetic intensive care unit patients: A prospective cohort study. PLoS One 2018; 13:e0205637. [PMID: 30439957 PMCID: PMC6237332 DOI: 10.1371/journal.pone.0205637] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Accepted: 09/30/2018] [Indexed: 12/20/2022] Open
Abstract
PURPOSE To determine whether glucose variability is altered during delirium days compared to non-delirious days in critically ill patients with and without diabetes in the intensive care unit (ICU). MATERIALS AND METHODS Critically ill patients with delirious and non-delirious days during ICU stay were included from a prospective cohort study which was conducted from January 2011- June 2013. Glucose variability was measured each observation day using various definitions (change in mean glucose, standard deviation, mean absolute glucose, daily delta and occurrence of hypo- and hyperglycemia). Mixed-effects models and generalized mixed-effects models with logit link function were performed to study the association between delirium and glucose variability, adjusting for potential confounders. RESULTS With the exception of the risk of hypoglycemia, delirium was not linked to higher glucose variability using the various definitions of this estimate. For hypoglycemia, we did find an association with delirium in diabetic patients (OR adj.: 2.78; 95% CI: 1.71-6.32, p = 0.005), but not in non-diabetic patients (OR adj.: 1.16; 95% CI: 0.58-2.28, p = 0.689). CONCLUSIONS Despite the positive association between delirium and hypoglycemia in critically ill patients with diabetes, delirium was not associated with more pronounced glucose variability. Our findings suggest that glucose levels should be monitored more closely in diabetic patients during delirium at the ICU to prevent hypoglycemia.
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Hermanides J, Qeva E, Preckel B, Bilotta F. Perioperative hyperglycemia and neurocognitive outcome after surgery: a systematic review. Minerva Anestesiol 2018; 84:1178-1188. [PMID: 29589415 DOI: 10.23736/s0375-9393.18.12400-x] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
INTRODUCTION Preliminary evidence suggest a possible relationship between perioperative hyperglycemia, postoperative delirium (POD) or cognitive dysfunction (POCD). We aim to present the available clinical evidence related to chronic (i.e. diabetes mellitus) or acute perioperative hyperglycemia as risk factors for POD/POCD. EVIDENCE ACQUISITION A literature search of EMBASE (via Ovid, 1974-present) online medical database and MEDLINE (via PubMed or Ovid, 1946-present) was performed. All types of clinical studies including randomized controlled trials, prospective, as well as retrospective cohort studies were screened. Clinical studies that reported original information on the relationship between diabetes mellitus (DM) and/or acute perioperative abnormal glucose levels and POD or POCD were selected. Reviews and editorials (i.e. articles not presenting original preclinical or clinical research) were excluded and case-reports were not considered for analysis. EVIDENCE SYNTHESIS Our search resulted in 2356 papers for screening, from which we selected 29 studies that met our inclusion criteria. DM was investigated in 24 observational papers, acute perioperative hyperglycemia in six observational studies and two randomized controlled trials examined the effect of perioperative glucose lowering on POD/POCD. Diabetes was associated with POD or POCD in 18/24 observational studies and 6/6 of the included observational studies found that perioperative hyperglycemia was associated with POD/POCD, independent of diabetes. The two randomized controlled trials had a different trial design and reported conflicting results. CONCLUSIONS According to the available evidence, DM and acute perioperative hyperglycemia may be associated with an increased risk for POD/POCD. These conclusions are based mostly on observational studies and deserve more and dedicated research. This systematic review may direct the design of future studies.
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Affiliation(s)
- Jeroen Hermanides
- Department of Anesthesiology, Academic Medical Centre, Amsterdam, The Netherlands -
| | - Ega Qeva
- Department of Anesthesiology, Critical Care and Pain, Sapienza University of Rome, Rome, Italy
| | - Benedikt Preckel
- Department of Anesthesiology, Academic Medical Centre, Amsterdam, The Netherlands
| | - Federico Bilotta
- Department of Anesthesiology, Critical Care and Pain, Sapienza University of Rome, Rome, Italy
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Greco G, Kirkwood KA, Gelijns AC, Moskowitz AJ, Lam DW. Diabetes Is Associated With Reduced Stress Hyperlactatemia in Cardiac Surgery. Diabetes Care 2018; 41:469-477. [PMID: 29263164 DOI: 10.2337/dc17-1554] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Accepted: 11/22/2017] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Hyperglycemia and hyperlactatemia are associated with increased morbidity and mortality in critical illness. We evaluated the relationship among hyperlactatemia, glycemic control, and diabetes mellitus (DM) after cardiac surgery. RESEARCH DESIGN AND METHODS This was a retrospective cohort study of 4,098 cardiac surgery patients treated between 2011 and 2015. Patients were stratified by DM and glucose-lowering medication history. Hyperglycemia (glucose >180 mg/dL), hypoglycemia (<70 mg/dL), and the hyperglycemic index were assessed postoperatively (48 h). The relationship between lactate and glucose levels was modeled using generalized linear regression. Mortality was analyzed using an extended Cox regression model. RESULTS Hyperglycemia occurred in 26.0% of patients without DM (NODM), 46.5% with DM without prior drug treatment (DMNT), 62.8% on oral medication (DMOM), and 73.8% on insulin therapy (DMIT) (P < 0.0001). Hypoglycemia occurred in 6.3%, 9.1%, 8.8%, and 10.8% of NODM, DMNT, DMOM, and DMIT, respectively (P = 0.0012). The lactate levels of all patients were temporarily increased with surgery. This increase was greater in patients who also had hyperglycemia or hypoglycemia and was markedly attenuated in patients with DM. Peak lactate was 5.8 mmol/L (95% CI 5.6, 6.0) in NODM with hyperglycemia vs. 3.3 (95% CI 3.2, 3.4) without hyperglycemia; in DMNT: 4.8 (95% CI 4.4, 5.2) vs. 3.4 (95% CI 3.1, 3.6); in DMOM: 3.8 (95% CI 3.5, 4.1) vs. 2.9 (95% CI 2.7, 3.1); and in DMIT: 3.3 (95% CI 3.0, 3.5) vs. 2.7 (95% CI 2.3, 3.0). Increasing lactate levels were associated with increasing mortality; increasing glucose reduced this effect in DM but not in NODM (P = 0.0069 for three-way interaction). CONCLUSIONS Stress hyperlactatemia is markedly attenuated in patients with DM. There is a three-way interaction among DM, stress hyperlactatemia, and stress hyperglycemia associated with mortality after cardiac surgery.
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Affiliation(s)
- Giampaolo Greco
- International Center for Health Outcomes and Innovation Research (InCHOIR), Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Katherine A Kirkwood
- International Center for Health Outcomes and Innovation Research (InCHOIR), Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Annetine C Gelijns
- International Center for Health Outcomes and Innovation Research (InCHOIR), Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Alan J Moskowitz
- International Center for Health Outcomes and Innovation Research (InCHOIR), Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY
| | - David W Lam
- Division of Endocrinology, Diabetes and Bone Disease, Icahn School of Medicine at Mount Sinai, New York, NY
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Hermanides J, Plummer MP, Finnis M, Deane AM, Coles JP, Menon DK. Glycaemic control targets after traumatic brain injury: a systematic review and meta-analysis. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2018; 22:11. [PMID: 29351760 PMCID: PMC5775599 DOI: 10.1186/s13054-017-1883-y] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2017] [Accepted: 10/31/2017] [Indexed: 01/04/2023]
Abstract
Background Optimal glycaemic targets in traumatic brain injury (TBI) remain unclear. We performed a systematic review and meta-analysis of randomised controlled trials (RCTs) comparing intensive with conventional glycaemic control in TBI requiring admission to an intensive care unit (ICU). Methods We systematically searched MEDLINE, EMBASE and the Cochrane Central Register of Controlled Trials to November 2016. Outcomes of interest included ICU and in-hospital mortality, poor neurological outcome, the incidence of hypoglycaemia and infective complications. Data were analysed by pairwise random effects models with secondary analysis of differing levels of conventional glycaemic control. Results Ten RCTs, involving 1066 TBI patients were included. Three studies were conducted exclusively in a TBI population, whereas in seven trials, the TBI population was a sub-cohort of a mixed neurocritical or general ICU population. Glycaemic targets with intensive control ranged from 4.4 to 6.7 mmol/L, while conventional targets aimed to keep glucose levels below thresholds of 8.4–12 mmol/L. Conventional versus intensive control showed no association with ICU or hospital mortality (relative risk (RR) (95% CI) 0.93 (0.68–1.27), P = 0.64 and 1.07 (0.84–1.36), P = 0.62, respectively). The risk of a poor neurological outcome was higher with conventional control (RR (95% CI) = 1.10 (1.001–1.24), P = 0.047). However, severe hypoglycaemia occurred less frequently with conventional control (RR (95% CI) = 0.22 (0.09–0.52), P = 0.001). Conclusions This meta-analysis of intensive glycaemic control shows no association with reduced mortality in TBI. Intensive glucose control showed a borderline significant reduction in the risk of poor neurological outcome, but markedly increased the risk of hypoglycaemia. These contradictory findings should motivate further research. Electronic supplementary material The online version of this article (10.1186/s13054-017-1883-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jeroen Hermanides
- Division of Anaesthesia, Department of Medicine, University of Cambridge, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK. .,Department of Anesthesiology, Academic Medical Centre, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
| | - Mark P Plummer
- Neurosciences Critical Care Unit, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
| | - Mark Finnis
- Intensive Care Unit, Royal Adelaide Hospital, Adelaide, 5000, Australia
| | - Adam M Deane
- Intensive Care Unit, Royal Melbourne Hospital, Melbourne, 3050, Australia
| | - Jonathan P Coles
- Division of Anaesthesia, Department of Medicine, University of Cambridge, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
| | - David K Menon
- Division of Anaesthesia, Department of Medicine, University of Cambridge, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
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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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van Steen SC, Rijkenberg S, Sechterberger MK, DeVries JH, van der Voort PH. Glycemic Effects of a Low-Carbohydrate Enteral Formula Compared With an Enteral Formula of Standard Composition in Critically Ill Patients: An Open-Label Randomized Controlled Clinical Trial. JPEN J Parenter Enteral Nutr 2017; 42:1035-1045. [DOI: 10.1002/jpen.1045] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Accepted: 10/31/2017] [Indexed: 12/31/2022]
Affiliation(s)
- Sigrid C. van Steen
- Department of Endocrinology; Academic Medical Center; University of Amsterdam; Amsterdam the Netherlands
- Department of Intensive Care; OLVG; Amsterdam the Netherlands
| | | | - Marjolein K. Sechterberger
- Department of Endocrinology; Academic Medical Center; University of Amsterdam; Amsterdam the Netherlands
- Department of Intensive Care; OLVG; Amsterdam the Netherlands
| | - J. Hans DeVries
- Department of Endocrinology; Academic Medical Center; University of Amsterdam; Amsterdam the Netherlands
| | - Peter H.J. van der Voort
- Department of Intensive Care; OLVG; Amsterdam the Netherlands
- TIAS; School for Business and Society; Tilburg University; Tilburg the Netherlands
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Abstract
PURPOSE OF REVIEW We reviewed the strategies associated with hypoglycemia risk reduction among critically ill non-pregnant adult patients. RECENT FINDINGS Hypoglycemia in the ICU has been associated with increased mortality in a number of studies. Insulin dosing and glucose monitoring rules, response to impending hypoglycemia, use of computerization, and attention to modifiable factors extrinsic to insulin algorithms may affect the risk for hypoglycemia. Recurring use of intravenous (IV) bolus doses of insulin in insulin-resistant cases may reduce reliance upon higher IV infusion rates. In order to reduce the risk for hypoglycemia in the ICU, caregivers should define responses to interruption of continuous carbohydrate exposure, incorporate transitioning strategies upon initiation and interruption of IV insulin, define modifications of antihyperglycemic therapy in the presence of worsening renal function or chronic kidney disease, and anticipate the effects traceable to other medications and substances. Institutional and system-wide quality improvement efforts should assign priority to hypoglycemia prevention.
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Affiliation(s)
- Susan Shapiro Braithwaite
- , 1135 Ridge Road, Wilmette, IL, 60091, USA.
- Endocrinology Consults and Care, S.C, 3048 West Peterson Ave, Chicago, IL, 60659, USA.
| | - Dharmesh B Bavda
- Presence Saint Joseph Hospital-Chicago, 2900 N. Lake Shore Drive, Chicago, IL, 60657, USA
| | - Thaer Idrees
- Presence Saint Joseph Hospital-Chicago, 2900 N. Lake Shore Drive, Chicago, IL, 60657, USA
| | - Faisal Qureshi
- , 2800 N Sheridan Road Suite 309, Chicago, IL, 60657, USA
| | - Oluwakemi T Soetan
- Presence Saint Joseph Hospital-Chicago, 2900 N. Lake Shore Drive, Chicago, IL, 60657, USA
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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: 33] [Impact Index Per Article: 4.7] [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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Krinsley JS, Maurer P, Holewinski S, Hayes R, McComsey D, Umpierrez GE, Nasraway SA. Glucose Control, Diabetes Status, and Mortality in Critically Ill Patients: The Continuum From Intensive Care Unit Admission to Hospital Discharge. Mayo Clin Proc 2017. [PMID: 28645517 DOI: 10.1016/j.mayocp.2017.04.015] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
OBJECTIVE To describe the relationships among glycemic control, diabetes mellitus (DM) status, and mortality in critically ill patients from intensive care unit (ICU) admission to hospital discharge. PATIENTS AND METHODS This is a retrospective investigation of 6387 ICU patients with 5 or more blood glucose (BG) tests and 4462 ICU survivors admitted to 2 academic medical centers from July 1, 2010, through December 31, 2014. We studied the relationships among mean BG level, hypoglycemia (BG level <70 mg/dL [to convert to mmol/L, multiply by 0.0555]), high glucose variability (coefficient of variation ≥20%), DM status, and mortality. RESULTS The ICU mortality for patients without DM with ICU mean BG levels of 80 to less than 110, 110 to less than 140, 140 to less than 180, and at least 180 mg/dL was 4.50%, 7.30%, 12.16%, and 32.82%, respectively. Floor mortality for patients without DM with these BG ranges was 2.74%, 2.64%, 7.88%, and 5.66%, respectively. The ICU and floor mean BG levels of 80 to less than 110 and 110 to less than 140 mg/dL were independently associated with reduced ICU and floor mortality compared with mean BG levels of 140 to less than 180 mg/dL in patients without DM (odds ratio [OR] [95% CI]: 0.43 (0.28-0.66), 0.62 (0.45-0.85), 0.41 (0.23-0.75), and 0.40 (0.25-0.63), respectively) but not in patients with DM. Both ICU and floor hypoglycemia and increased glucose variability were strongly associated with ICU and floor mortality in patients without DM, and less so in those with DM. The independent association of dysglycemia occurring in either setting with mortality was cumulative in patients without DM. CONCLUSION These findings support the importance of glucose control across the entire trajectory of hospitalization in critically ill patients and suggest that the BG target of 140 to less than 180 mg/dL is not appropriate for patients without DM. The optimal BG target for patients with DM remains uncertain.
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Affiliation(s)
- James S Krinsley
- Division of Critical Care, Department of Medicine, Stamford Hospital, Columbia University College of Physicians and Surgeons, Stamford, CT.
| | | | - Sharon Holewinski
- Department of Nursing, Tufts Medical Center, Tufts University School of Medicine, Boston, MA
| | - Roy Hayes
- Department of System Engineering, University of Virginia, Charlottesville, VA
| | | | | | - Stanley A Nasraway
- Department of Surgery, Tufts Medical Center, Tufts University School of Medicine, Boston, MA
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