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      Mortality after surgery in Europe: a 7 day cohort study

      research-article
      a , * , b , c , e , d , f , g , h , i , j , k , for the European Surgical Outcomes Study (EuSOS) group for the Trials groups of the European Society of Intensive Care Medicine and the European Society of Anaesthesiology
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          Summary

          Background

          Clinical outcomes after major surgery are poorly described at the national level. Evidence of heterogeneity between hospitals and health-care systems suggests potential to improve care for patients but this potential remains unconfirmed. The European Surgical Outcomes Study was an international study designed to assess outcomes after non-cardiac surgery in Europe.

          Methods

          We did this 7 day cohort study between April 4 and April 11, 2011. We collected data describing consecutive patients aged 16 years and older undergoing inpatient non-cardiac surgery in 498 hospitals across 28 European nations. Patients were followed up for a maximum of 60 days. The primary endpoint was in-hospital mortality. Secondary outcome measures were duration of hospital stay and admission to critical care. We used χ 2 and Fisher's exact tests to compare categorical variables and the t test or the Mann-Whitney U test to compare continuous variables. Significance was set at p<0·05. We constructed multilevel logistic regression models to adjust for the differences in mortality rates between countries.

          Findings

          We included 46 539 patients, of whom 1855 (4%) died before hospital discharge. 3599 (8%) patients were admitted to critical care after surgery with a median length of stay of 1·2 days (IQR 0·9–3·6). 1358 (73%) patients who died were not admitted to critical care at any stage after surgery. Crude mortality rates varied widely between countries (from 1·2% [95% CI 0·0–3·0] for Iceland to 21·5% [16·9–26·2] for Latvia). After adjustment for confounding variables, important differences remained between countries when compared with the UK, the country with the largest dataset (OR range from 0·44 [95% CI 0·19–1·05; p=0·06] for Finland to 6·92 [2·37–20·27; p=0·0004] for Poland).

          Interpretation

          The mortality rate for patients undergoing inpatient non-cardiac surgery was higher than anticipated. Variations in mortality between countries suggest the need for national and international strategies to improve care for this group of patients.

          Funding

          European Society of Intensive Care Medicine, European Society of Anaesthesiology.

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          Most cited references30

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          Rehospitalizations among patients in the Medicare fee-for-service program.

          Reducing rates of rehospitalization has attracted attention from policymakers as a way to improve quality of care and reduce costs. However, we have limited information on the frequency and patterns of rehospitalization in the United States to aid in planning the necessary changes. We analyzed Medicare claims data from 2003-2004 to describe the patterns of rehospitalization and the relation of rehospitalization to demographic characteristics of the patients and to characteristics of the hospitals. Almost one fifth (19.6%) of the 11,855,702 Medicare beneficiaries who had been discharged from a hospital were rehospitalized within 30 days, and 34.0% were rehospitalized within 90 days; 67.1% [corrected] of patients who had been discharged with medical conditions and 51.5% of those who had been discharged after surgical procedures were rehospitalized or died within the first year after discharge. In the case of 50.2% [corrected] of the patients who were rehospitalized within 30 days after a medical discharge to the community, there was no bill for a visit to a physician's office between the time of discharge and rehospitalization. Among patients who were rehospitalized within 30 days after a surgical discharge, 70.5% were rehospitalized for a medical condition. We estimate that about 10% of rehospitalizations were likely to have been planned. The average stay of rehospitalized patients was 0.6 day longer than that of patients in the same diagnosis-related group whose most recent hospitalization had been at least 6 months previously. We estimate that the cost to Medicare of unplanned rehospitalizations in 2004 was $17.4 billion. Rehospitalizations among Medicare beneficiaries are prevalent and costly. 2009 Massachusetts Medical Society
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            Determinants of long-term survival after major surgery and the adverse effect of postoperative complications.

            The objective of this study was to identify the determinants of 30-day postoperative mortality and long-term survival after major surgery as exemplified by 8 common operations. The National Surgical Quality Improvement Program (NSQIP) database contains pre-, intra-, and 30-day postoperative data, prospectively collected in a standardized fashion by a dedicated nurse reviewer, on major surgery in the Veterans Administration (VA). The Beneficiary Identification and Records Locator Subsystem (BIRLS) is a VA file that depicts the vital status of U.S. veterans with 87% to 95% accuracy. NSQIP data were merged with BIRLS to determine the vital status of 105,951 patients who underwent 8 types of operations performed between 1991 and 1999, providing an average follow up of 8 years. Logistic and Cox regression analyses were performed to identify the predictors of 30-day mortality and long-term survival, respectively. The most important determinant of decreased postoperative survival was the occurrence, within 30 days postoperatively, of any one of 22 types of complications collected in the NSQIP. Independent of preoperative patient risk, the occurrence of a 30-day complication in the total patient group reduced median patient survival by 69%. The adverse effect of a complication on patient survival was also influenced by the operation type and was sustained even when patients who did not survive for 30 days were excluded from the analyses. The occurrence of a 30-day postoperative complication is more important than preoperative patient risk and intraoperative factors in determining the survival after major surgery in the VA. Quality and process improvement in surgery should be directed toward the prevention of postoperative complications.
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              An estimation of the global volume of surgery: a modelling strategy based on available data

              The Lancet, 372(9633), 139-144
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                Author and article information

                Contributors
                Journal
                Lancet
                Lancet
                Lancet
                Lancet Publishing Group
                0140-6736
                1474-547X
                22 September 2012
                22 September 2012
                : 380
                : 9847
                : 1059-1065
                Affiliations
                [a ]Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
                [b ]UCINC, Hospital de São José, Centro Hospitalar de Lisboa Central, EPE, Lisbon, Portugal
                [c ]Section of Medical Statistics, Medical University of Vienna, Vienna, Austria
                [d ]Department of Anaesthesia and General Intensive Care, Medical University of Vienna, Vienna, Austria
                [e ]IRCCS AOU San Martino-IST, Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy
                [f ]Charité-Universitaetsmedizin, Berlin, Germany
                [g ]Anaesthesiology and Critical Care, University Hospital, Lille, France
                [h ]Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium
                [i ]Department of Anaesthesiology, University of Bonn, Bonn, Germany
                [j ]St George's Healthcare NHS Trust, London, UK
                [k ]St George's University of London, London, UK
                Author notes
                [* ]Correspondence to: Dr Rupert Pearse, Adult Critical Care Unit, Royal London Hospital, London E1 1BB, UK r.pearse@ 123456qmul.ac.uk
                [†]

                Members listed in appendix

                Article
                LANCET61148
                10.1016/S0140-6736(12)61148-9
                3493988
                22998715
                9307aae7-f2ea-481f-b80d-12adb046b51a
                © 2012 Elsevier Ltd. All rights reserved.

                This document may be redistributed and reused, subject to certain conditions.

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