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      Diabetes and the Association of Postoperative Hyperglycemia With Clinical and Economic Outcomes in Cardiac Surgery

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          Abstract

          OBJECTIVE

          The management of postoperative hyperglycemia is controversial and generally does not take into account pre-existing diabetes. We analyzed clinical and economic outcomes associated with postoperative hyperglycemia in cardiac surgery patients, stratifying by diabetes status.

          RESEARCH DESIGN AND METHODS

          Multicenter cohort study in 4,316 cardiac surgery patients operated on in 2010. Glucose was measured at 6-h intervals for 48 h postoperatively. Outcomes included cost, hospital length of stay (LOS), cardiac and respiratory complications, major infections, and death. Associations between maximum glucose levels and outcomes were assessed with multivariable regression and recycled prediction analyses.

          RESULTS

          In patients without diabetes, increasing glucose levels were associated with a gradual worsening of outcomes. In these patients, hyperglycemia (≥180 mg/dL) was associated with an additional cost of $3,192 (95% CI 1,972 to 4,456), an additional hospital LOS of 0.8 days (0.4 to 1.3), an increase in infections of 1.6% (0.5 to 2.8), and an increase in respiratory complications of 2.6% (0.0 to 5.3). However, among patients with insulin-treated diabetes, optimal outcomes were associated with glucose levels considered to be hyperglycemic (180 to 240 mg/dL). This level of hyperglycemia was associated with cost reductions of $6,225 (−12,886 to −222), hospital LOS reductions of 1.6 days (−3.7 to 0.4), infection reductions of 4.1% (−9.1 to 0.0), and reductions in respiratory complication of 12.5% (−22.4 to −3.0). In patients with non–insulin-treated diabetes, outcomes did not differ significantly when hyperglycemia was present.

          CONCLUSIONS

          Glucose levels <180 mg/dL are associated with better outcomes in most patients, but worse outcomes in patients with diabetes with a history of prior insulin use. These findings support further investigation of a stratified approach to the management of patients with stress-induced postoperative hyperglycemia based on prior diabetes status.

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          Most cited references25

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          The many faces of diabetes: a disease with increasing heterogeneity.

          Diabetes is a much more heterogeneous disease than the present subdivision into types 1 and 2 assumes; type 1 and type 2 diabetes probably represent extremes on a range of diabetic disorders. Both type 1 and type 2 diabetes seem to result from a collision between genes and environment. Although genetic predisposition establishes susceptibility, rapid changes in the environment (ie, lifestyle factors) are the most probable explanation for the increase in incidence of both forms of diabetes. Many patients have genetic predispositions to both forms of diabetes, resulting in hybrid forms of diabetes (eg, latent autoimmune diabetes in adults). Obesity is a strong modifier of diabetes risk, and can account for not only a large proportion of the epidemic of type 2 diabetes in Asia but also the ever-increasing number of adolescents with type 2 diabetes. With improved characterisation of patients with diabetes, the range of diabetic subgroups will become even more diverse in the future. Copyright © 2014 Elsevier Ltd. All rights reserved.
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            Metabolism of stromal and immune cells in health and disease.

            Cancer cells have been at the centre of cell metabolism research, but the metabolism of stromal and immune cells has received less attention. Nonetheless, these cells influence the progression of malignant, inflammatory and metabolic disorders. Here we discuss the metabolic adaptations of stromal and immune cells in health and disease, and highlight how metabolism determines their differentiation and function.
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              Hyperglycemia-related mortality in critically ill patients varies with admission diagnosis.

              Hyperglycemia during critical illness is common and is associated with increased mortality. Intensive insulin therapy has improved outcomes in some, but not all, intervention trials. It is unclear whether the benefits of treatment differ among specific patient populations. The purpose of the study was to determine the association between hyperglycemia and risk- adjusted mortality in critically ill patients and in separate groups stratified by admission diagnosis. A secondary purpose was to determine whether mortality risk from hyperglycemia varies with intensive care unit type, length of stay, or diagnosed diabetes. Retrospective cohort study. One hundred seventy-three U.S. medical, surgical, and cardiac intensive care units. Two hundred fifty-nine thousand and forty admissions from October 2002 to September 2005; unadjusted mortality rate, 11.2%. None. A two-level logistic regression model determined the relationship between glycemia and mortality. Age, diagnosis, comorbidities, and laboratory variables were used to calculate a predicted mortality rate, which was then analyzed with mean glucose to determine the association of hyperglycemia with hospital mortality. Hyperglycemia was associated with increased mortality independent of illness severity. Compared with normoglycemic individuals (70-110 mg/dL), adjusted odds of mortality (odds ratio, [95% confidence interval]) for mean glucose 111-145, 146-199, 200-300, and >300 mg/dL was 1.31 (1.26-1.36), 1.82 (1.74-1.90), 2.13 (2.03-2.25), and 2.85 (2.58-3.14), respectively. Furthermore, the adjusted odds of mortality related to hyperglycemia varied with admission diagnosis, demonstrating a clear association in some patients (acute myocardial infarction, arrhythmia, unstable angina, pulmonary embolism) and little or no association in others. Hyperglycemia was associated with increased mortality independent of intensive care unit type, length of stay, and diabetes. The association between hyperglycemia and mortality implicates hyperglycemia as a potentially harmful and correctable abnormality in critically ill patients. The finding that hyperglycemia-related risk varied with admission diagnosis suggests differences in the interaction between specific medical conditions and injury from hyperglycemia. The design and interpretation of future trials should consider the primary disease states of patients and the balance of medical conditions in the intensive care unit studied.
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                Author and article information

                Journal
                Diabetes Care
                Diabetes Care
                diacare
                dcare
                Diabetes Care
                Diabetes Care
                American Diabetes Association
                0149-5992
                1935-5548
                March 2016
                19 January 2016
                : 39
                : 3
                : 408-417
                Affiliations
                [1] 1International Center for Health Outcomes and Innovation Research (InCHOIR), the Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY
                [2] 2Department of Cardiothoracic Surgery, Montefiore Medical Center/Albert Einstein College of Medicine, New York, NY
                [3] 3Department of Cardiothoracic Surgery, NIH Heart Center at Suburban Hospital, Bethesda, MD
                [4] 4Icahn School of Medicine at Mount Sinai, New York, NY
                [5] 5Division of Cardiovascular and Thoracic Surgery, Department of Surgery, Duke University Medical Center, Durham, NC
                [6] 6Department of Cardiothoracic Surgery, Emory University Hospital Midtown, Atlanta, GA
                [7] 7Department of Psychiatry & Behavioral Sciences, Duke University Medical Center, Durham, NC
                [8] 8Department of Thoracic and Cardiovascular Surgery, Cleveland Clinic Foundation, Cleveland, OH
                [9] 9Department of Surgery, Division of Cardiovascular Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA
                [10] 10Division of Thoracic and Cardiovascular Surgery, University of Virginia School of Medicine, Charlottesville, VA
                [11] 11University HealthSystem Consortium, Chicago, IL
                [12] 12Cardiovascular Division, Brigham and Women’s Hospital, Boston, MA
                Author notes
                Corresponding author: Giampaolo Greco, giampaolo.greco@ 123456mountsinai.org .

                G.G. and B.S.F. contributed equally to this work.

                Author information
                http://orcid.org/0000-0002-4205-4838
                http://orcid.org/0000-0003-1372-7244
                Article
                1817
                10.2337/dc15-1817
                4764032
                26786574
                f357358c-53cc-4021-9c59-5cc8e99eb16f
                © 2016 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.
                History
                : 20 August 2015
                : 15 December 2015
                Page count
                Figures: 2, Tables: 2, Equations: 0, References: 40, Pages: 10
                Funding
                Funded by: National Heart, Lung, and Blood Institute http://dx.doi.org/10.13039/100000050
                Award ID: 7U01-HL-088942
                Funded by: Canadian Institutes of Health Research http://dx.doi.org/10.13039/501100000024
                Funded by: Institute for Health Technology Studies (InHealth)
                Categories
                Epidemiology/Health Services Research

                Endocrinology & Diabetes
                Endocrinology & Diabetes

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