Literature DB >> 24195875

Risk stratification tools for predicting morbidity and mortality in adult patients undergoing major surgery: qualitative systematic review.

Suneetha Ramani Moonesinghe1, Michael G Mythen, Priya Das, Kathryn M Rowan, Michael P W Grocott.   

Abstract

Risk stratification is essential for both clinical risk prediction and comparative audit. There are a variety of risk stratification tools available for use in major noncardiac surgery, but their discrimination and calibration have not previously been systematically reviewed in heterogeneous patient cohorts.Embase, MEDLINE, and Web of Science were searched for studies published between January 1, 1980 and August 6, 2011 in adult patients undergoing major noncardiac, nonneurological surgery. Twenty-seven studies evaluating 34 risk stratification tools were identified which met inclusion criteria. The Portsmouth-Physiology and Operative Severity Score for the enUmeration of Mortality and the Surgical Risk Scale were demonstrated to be the most consistently accurate tools that have been validated in multiple studies; however, both have limitations. Future work should focus on further evaluation of these and other parsimonious risk predictors, including validation in international cohorts. There is also a need for studies examining the impact that the use of these tools has on clinical decision making and patient outcome.

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Year:  2013        PMID: 24195875     DOI: 10.1097/ALN.0b013e3182a4e94d

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  65 in total

1. 

Authors:  Berrin Günaydın; Ömer Kurtipek
Journal:  Turk J Anaesthesiol Reanim       Date:  2018-06-01

Review 2.  Clinical risk assessment tools in anaesthesia.

Authors:  J Stones; D Yates
Journal:  BJA Educ       Date:  2018-12-14

3.  The role of the neutrophil:lymphocyte ratio (NLR) and the CRP:albumin ratio (CAR) in predicting mortality following emergency laparotomy in the over 80 age group.

Authors:  G Simpson; R Saunders; J Wilson; C Magee
Journal:  Eur J Trauma Emerg Surg       Date:  2017-11-13       Impact factor: 3.693

4.  What is the rationale for preoperative medical evaluations? A closer look at surgical risk and common terminology.

Authors:  K R Riggs; J B Segal
Journal:  Br J Anaesth       Date:  2016-12       Impact factor: 9.166

Review 5.  A review of recent advances in data analytics for post-operative patient deterioration detection.

Authors:  Clemence Petit; Rick Bezemer; Louis Atallah
Journal:  J Clin Monit Comput       Date:  2017-08-21       Impact factor: 2.502

6.  Pre-operative psoas major measurement compared to P-POSSUM as a prognostic indicator in over-80s undergoing emergency laparotomy.

Authors:  Gregory Simpson; Alexander Parker; Philip Hopley; Jeremy Wilson; Conor Magee
Journal:  Eur J Trauma Emerg Surg       Date:  2018-10-13       Impact factor: 3.693

7.  Real-Time Automated Sampling of Electronic Medical Records Predicts Hospital Mortality.

Authors:  Hargobind S Khurana; Robert H Groves; Michael P Simons; Mary Martin; Brenda Stoffer; Sherri Kou; Richard Gerkin; Eric Reiman; Sairam Parthasarathy
Journal:  Am J Med       Date:  2016-03-24       Impact factor: 4.965

8.  Making sense of surgical risk when the data aren't perfect.

Authors:  Meghan B Lane-Fall; Mark D Neuman
Journal:  Anesth Analg       Date:  2014-08       Impact factor: 5.108

9.  Validation of the Surgical Outcome Risk Tool (SORT) for Predicting Postoperative Mortality in Colorectal Cancer Patients Undergoing Surgery and Subgroup Analysis.

Authors:  Dimitrios E Magouliotis; David Walker; Ioannis Baloyiannis; Maria P Fergadi; Ioannis Mamaloudis; Georgios Chasiotis; George A Tzovaras
Journal:  World J Surg       Date:  2021-02-18       Impact factor: 3.352

10.  MySurgeryRisk: Development and Validation of a Machine-learning Risk Algorithm for Major Complications and Death After Surgery.

Authors:  Azra Bihorac; Tezcan Ozrazgat-Baslanti; Ashkan Ebadi; Amir Motaei; Mohcine Madkour; Panagote M Pardalos; Gloria Lipori; William R Hogan; Philip A Efron; Frederick Moore; Lyle L Moldawer; Daisy Zhe Wang; Charles E Hobson; Parisa Rashidi; Xiaolin Li; Petar Momcilovic
Journal:  Ann Surg       Date:  2019-04       Impact factor: 12.969

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