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      Predictive Value of the Sequential Organ Failure Assessment Score for Mortality in a Contemporary Cardiac Intensive Care Unit Population

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          Abstract

          Background

          Optimal methods of mortality risk stratification in patients in the cardiac intensive care unit ( CICU) remain uncertain. We evaluated the ability of the Sequential Organ Failure Assessment ( SOFA) score to predict mortality in a large cohort of unselected patients in the CICU.

          Methods and Results

          Adult patients admitted to the CICU from January 1, 2007, to December 31, 2015, at a single tertiary care hospital were retrospectively reviewed. SOFA scores were calculated daily, and Acute Physiology and Chronic Health Evaluation ( APACHE)‐ III and APACHEIV scores were calculated on CICU day 1. Discrimination of hospital mortality was assessed using area under the receiver‐operator characteristic curve values. We included 9961 patients, with a mean age of 67.5±15.2 years; all‐cause hospital mortality was 9.0%. Day 1 SOFA score predicted hospital mortality, with an area under the receiver‐operator characteristic curve value of 0.83; area under the receiver‐operator characteristic curve values were similar for the APACHEIII score, and APACHEIV predicted mortality ( P>0.05). Mean and maximum SOFA scores over multiple CICU days had greater discrimination for hospital mortality ( P<0.01). Patients with an increasing SOFA score from day 1 and day 2 had higher mortality. Patients with day 1 SOFA score <2 were at low risk of mortality. Increasing tertiles of day 1 SOFA score predicted higher long‐term mortality ( P<0.001 by log‐rank test).

          Conclusions

          The day 1 SOFA score has good discrimination for short‐term mortality in unselected patients in the CICU, which is comparable to APACHEIII and APACHEIV. Advantages of the SOFA score over APACHE include simplicity, improved discrimination using serial scores, and prediction of long‐term mortality.

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          Most cited references16

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          Predictors of hospital mortality in the global registry of acute coronary events.

          Management of acute coronary syndromes (ACS) should be guided by an estimate of patient risk. To develop a simple model to assess the risk for in-hospital mortality for the entire spectrum of ACS treated in general clinical practice. A multivariable logistic regression model was developed using 11 389 patients (including 509 in-hospital deaths) with ACS with and without ST-segment elevation enrolled in the Global Registry of Acute Coronary Events (GRACE) from April 1, 1999, through March 31, 2001. Validation data sets included a subsequent cohort of 3972 patients enrolled in GRACE and 12 142 in the Global Use of Strategies to Open Occluded Coronary Arteries IIb (GUSTO-IIb) trial. The following 8 independent risk factors accounted for 89.9% of the prognostic information: age (odds ratio [OR], 1.7 per 10 years), Killip class (OR, 2.0 per class), systolic blood pressure (OR, 1.4 per 20-mm Hg decrease), ST-segment deviation (OR, 2.4), cardiac arrest during presentation (OR, 4.3), serum creatinine level (OR, 1.2 per 1-mg/dL [88.4- micro mol/L] increase), positive initial cardiac enzyme findings (OR, 1.6), and heart rate (OR, 1.3 per 30-beat/min increase). The discrimination ability of the simplified model was excellent with c statistics of 0.83 in the derived database, 0.84 in the confirmation GRACE data set, and 0.79 in the GUSTO-IIb database. Across the entire spectrum of ACS and in general clinical practice, this model provides excellent ability to assess the risk for death and can be used as a simple nomogram to estimate risk in individual patients.
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            History of the Rochester Epidemiology Project: half a century of medical records linkage in a US population.

            The Rochester Epidemiology Project (REP) has maintained a comprehensive medical records linkage system for nearly half a century for almost all persons residing in Olmsted County, Minnesota. Herein, we provide a brief history of the REP before and after 1966, the year in which the REP was officially established. The key protagonists before 1966 were Henry Plummer, Mabel Root, and Joseph Berkson, who developed a medical records linkage system at Mayo Clinic. In 1966, Leonard Kurland established collaborative agreements with other local health care providers (hospitals, physician groups, and clinics [primarily Olmsted Medical Center]) to develop a medical records linkage system that covered the entire population of Olmsted County, and he obtained funding from the National Institutes of Health to support the new system. In 1997, L. Joseph Melton III addressed emerging concerns about the confidentiality of medical record information by introducing a broad patient research authorization as per Minnesota state law. We describe how the key protagonists of the REP have responded to challenges posed by evolving medical knowledge, information technology, and public expectation and policy. In addition, we provide a general description of the system; discuss issues of data quality, reliability, and validity; describe the research team structure; provide information about funding; and compare the REP with other medical information systems. The REP can serve as a model for the development of similar research infrastructures in the United States and worldwide. Copyright © 2012 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.
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              Treatment of myocardial infarction in a coronary care unit. A two year experience with 250 patients.

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                Author and article information

                Contributors
                jentzer.jacob@mayo.edu
                Journal
                J Am Heart Assoc
                J Am Heart Assoc
                10.1002/(ISSN)2047-9980
                JAH3
                ahaoa
                Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
                John Wiley and Sons Inc. (Hoboken )
                2047-9980
                10 March 2018
                20 March 2018
                : 7
                : 6 ( doiID: 10.1002/jah3.2018.7.issue-6 )
                : e008169
                Affiliations
                [ 1 ] Department of Cardiovascular Medicine Mayo Clinic Rochester MN
                [ 2 ] Department of Health Sciences Research Mayo Clinic Rochester MN
                [ 3 ] Department of Anesthesiology and Perioperative Medicine Mayo Clinic Rochester MN
                [ 4 ] Division of Pulmonary and Critical Care Medicine Department of Internal Medicine Mayo Clinic Rochester MN
                Author notes
                [*] [* ] Correspondence to: Jacob C. Jentzer, MD, Department of Cardiovascular Medicine and Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, The Mayo Clinic, 200 First St SW, Rochester, MN 55905. E‐mail: jentzer.jacob@ 123456mayo.edu
                Article
                JAH33029
                10.1161/JAHA.117.008169
                5907568
                29525785
                79aff5df-c24a-45d9-aa1b-1253b1cf4dc3
                © 2018 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 20 November 2017
                : 06 February 2018
                Page count
                Figures: 6, Tables: 4, Pages: 11, Words: 7675
                Categories
                Original Research
                Original Research
                Health Services and Outcomes Research
                Custom metadata
                2.0
                jah33029
                20 March 2018
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.3.4 mode:remove_FC converted:10.04.2018

                Cardiovascular Medicine
                acute physiology and chronic health evaluation score,cardiac critical care,cardiac intensive care unit,critical care,intensive cardiac care unit,intensive care unit,mortality,risk prediction,sequential organ failure assessment score,cardiopulmonary resuscitation and emergency cardiac care,mortality/survival,quality and outcomes,clinical studies

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