Literature DB >> 27998608

A score to estimate 30-day mortality after intensive care admission after cardiac surgery.

Yoan Lamarche1, Mahsa Elmi-Sarabi2, Lillian Ding3, James G Abel4, Demetrios Sirounis5, André Y Denault2.   

Abstract

OBJECTIVE: Several risk-scoring systems have been developed to predict surgical mortality and complications in cardiac surgical patients, but none of the current systems include factors related to the intraoperative period. The purpose of this study was to develop a score that incorporates both preoperative and intraoperative factors so that it could be used for patients admitted to a cardiac surgical intensive care unit (ICU) immediately after surgery.
METHOD: Preoperative and intraoperative data from 30,350 patients in four hospitals were used to build a multiple logistic regression model estimating 30-day mortality after cardiac surgery. Sixty percent of the patients were used as a derivation group and forty percent as a validation group.
RESULTS: Mortality occurred in 2.6% of patients (n = 790). Preoperative factors identified in the model were age, female sex, emergency status, pulmonary hypertension, peripheral vascular disease, renal dysfunction, diabetes, peptic ulcer disease, history of alcohol abuse, and refusal of blood products. Intraoperative risk factors included the need for an intra-aortic balloon pump, ventricular assist device or extracorporeal membrane oxygenation leaving the operating room, presence of any intraoperative complication reported by the surgeon, the use of inotropes, high-dose vasopressors, red blood cell transfusion, and cardiopulmonary bypass time. When used after surgery at ICU admission, the model had C-statistics of 0.86 in both derivation and validation sets to estimate the 30-day mortality.
CONCLUSIONS: Preoperative and intraoperative variables can be used on admission to a cardiac surgical ICU to estimate 30-day mortality. The score could be used for risk stratification after cardiac surgery and evaluation of performance of cardiac surgical ICUs.
Copyright © 2016 The American Association for Thoracic Surgery. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cardiac surgery; intensive cardiac care unit; risk score

Mesh:

Year:  2016        PMID: 27998608     DOI: 10.1016/j.jtcvs.2016.11.039

Source DB:  PubMed          Journal:  J Thorac Cardiovasc Surg        ISSN: 0022-5223            Impact factor:   5.209


  4 in total

1.  Incidence and Risk Factors for Mortality Following Bariatric Surgery: a Nationwide Registry Study.

Authors:  Nasser Sakran; Shiri Sherf-Dagan; Orit Blumenfeld; Orly Romano-Zelekha; Asnat Raziel; Dean Keren; Itamar Raz; Dan Hershko; Ian M Gralnek; Tamy Shohat; David Goitein
Journal:  Obes Surg       Date:  2018-09       Impact factor: 4.129

2.  The LAS VEGAS risk score for prediction of postoperative pulmonary complications: An observational study.

Authors:  Ary Serpa Neto; Luiz Guilherme V da Costa; Sabrine N T Hemmes; Jaume Canet; Göran Hedenstierna; Samir Jaber; Michael Hiesmayr; Markus W Hollmann; Gary H Mills; Marcos F Vidal Melo; Rupert Pearse; Christian Putensen; Werner Schmid; Paolo Severgnini; Hermann Wrigge; Marcelo Gama de Abreu; Paolo Pelosi; Marcus J Schultz
Journal:  Eur J Anaesthesiol       Date:  2018-09       Impact factor: 4.330

3.  Benchmark of Intraoperative Activity in Cardiac Surgery: A Comparison between Pre- and Post-Operative Prognostic Models.

Authors:  Anna Zamperoni; Greta Carrara; Massimiliano Greco; Carlotta Rossi; Elena Garbero; Giovanni Nattino; Giuseppe Minniti; Paolo Del Sarto; Guido Bertolini; Stefano Finazzi
Journal:  J Clin Med       Date:  2022-06-06       Impact factor: 4.964

Review 4.  Machine learning methods for perioperative anesthetic management in cardiac surgery patients: a scoping review.

Authors:  Santino R Rellum; Jaap Schuurmans; Ward H van der Ven; Susanne Eberl; Antoine H G Driessen; Alexander P J Vlaar; Denise P Veelo
Journal:  J Thorac Dis       Date:  2021-12       Impact factor: 2.895

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.