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Associations of postoperative mortality with the time of day, week and year.
Kork, F; Spies, C; Conrad, T; Weiss, B; Roenneberg, T; Wernecke, K-D; Balzer, F.
Afiliación
  • Kork F; Department of Anaesthesiology, Medical Faculty, RWTH Aachen University, Aachen, Germany.
  • Spies C; Department of Anaesthesiology and Operative Intensive Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Conrad T; Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany.
  • Weiss B; Department of Anaesthesiology and Operative Intensive Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Roenneberg T; Institute of Medical Psychology, Ludwig-Maximilians-Universität München, München, Germany.
  • Wernecke KD; SoStAna GmbH and Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Balzer F; Department of Anaesthesiology and Operative Intensive Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Anaesthesia ; 73(6): 711-718, 2018 Jun.
Article en En | MEDLINE | ID: mdl-29473682
Studies that have investigated circadian, weekday and seasonal variation in postoperative mortality have been relatively small or have been for scheduled surgery. We retrospectively tested a large mixed surgical cohort from a German tertiary care university hospital for the presence of cyclical variation in all-cause in-hospital mortality after operations performed between 2006 and 2013. We analysed mortality rates after 247,475 operations, adjusted for age, sex, comorbidities, location, urgency and duration of the surgery, and intra-operative blood transfusions. The mortality odds ratio (95%CI) after operations started in the morning (08:00-11:00) were lowest, 0.73 (0.66-0.80), p < 0.001 and highest for operations started in the afternoon (13:00-17:00), 1.29 (1.18-1.40), p < 0.001. Mortality at the weekend was the same as during the week. There was no seasonal variation in mortality, p = 0.12. However, the interference of four-yearly and ten-monthly cycle amplitudes resulted in higher mortality odds ratio (95%CI) in winter 2008-2009, 1.41 (1.18-1.69), p < 0.001, and lower mortality in spring 2011 and 2012, 0.70 (0.56-0.85) and 0.67 (0.53-0.85), p < 0.001 and p = 0.001, respectively. The ability to predict cyclical phenomena would facilitate the design of interventional studies, aimed at reducing mortality following surgery in the afternoon and when cycles interfere constructively.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Periodo Posoperatorio / Procedimientos Quirúrgicos Operativos Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Infant / Male País/Región como asunto: Europa Idioma: En Revista: Anaesthesia Año: 2018 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Periodo Posoperatorio / Procedimientos Quirúrgicos Operativos Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Infant / Male País/Región como asunto: Europa Idioma: En Revista: Anaesthesia Año: 2018 Tipo del documento: Article País de afiliación: Alemania