Literature DB >> 26086512

The effect of adding functional classification to ASA status for predicting 30-day mortality.

Ognjen Visnjevac1, Sina Davari-Farid, Jun Lee, Leili Pourafkari, Pradeep Arora, Hasan H Dosluoglu, Nader D Nader.   

Abstract

BACKGROUND: The functional capacity to perform the activities of daily living is identified as an independent predictor of perioperative mortality but is not formally incorporated in the American Society of Anesthesiologists (ASA) classification. Our primary objective was to assess whether functional capacity is an independent predictor of 30-day and long-term mortality in a general population and, if so, to define how it may formally be incorporated into the routine preoperative ASA classification assessment.
METHODS: This retrospective, observational cohort study was conducted using 1998 to 2009 data extracted from the Veterans Affairs Surgical Quality Improvement Program of Western New York, a perioperative prospectively maintained database. Mortality follow-up was performed for all records in 2013. This population-based sample included all patients undergoing any noncardiac surgery (n = 12,324). Each patient's ASA class (assigned preoperatively) was appended with subclasses A or B, with A representing patients who were functionally independent and B representing partially or fully dependent patients. The primary outcome was all-cause mortality during the follow-up period. Secondary outcomes included 30-day postoperative complications and mortality. Multivariate logistic regression was used to identify independent risk factors for mortality.
RESULTS: The likelihood for mortality was significantly lower for A patients than B patients within each ASA class. The odds ratios for mortality for group A patients significantly favored survival over group B within each ASA class (0.14, 0.29, and 0.50, for ASA class II, III, and IV, respectively, each P < 0.0001). The odds ratio for mortality of IIB over IIIA patients was 1.92 (95% confidence interval [CI], 1.19-3.11; P = 0.01); 1.29 (95% CI, 1.04-1.60; P = 0.03) for IIIB over IVA patients; and 2.03 (95% CI, 0.99-4.12, P=0.11) for IVB over ASA V patients, despite each higher class carrying a greater disease burden, by definition. The area under the curve the receiver operator characteristic curve was 0.811 ± 0.010 for traditional ASA classification in predicting death within 30 days, which improved 4.7% to 0.848 ± 0.008 using the modified ASA classification, P < 0.00001.
CONCLUSIONS: Functional capacity was an independent predictor of mortality within each ASA class, indicating that it should be considered for incorporation into the routine preoperative evaluation. Functional dependence may be an indication for increasing a patient's ASA class by 1 class-point to better reflect his or her perioperative risk, but prospective validation of these findings is recommended, as this is a preliminary study.

Entities:  

Mesh:

Year:  2015        PMID: 26086512     DOI: 10.1213/ANE.0000000000000740

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  11 in total

Review 1.  [ASA classification : Transition in the course of time and depiction in the literature].

Authors:  T Irlbeck; B Zwißler; A Bauer
Journal:  Anaesthesist       Date:  2017-01       Impact factor: 1.041

2.  Deaths in Incorrectly Identified Low-Surgical-Risk Patients.

Authors:  C R Jones; G A J McCulloch; G Ludbrook; W J Babidge; G J Maddern
Journal:  World J Surg       Date:  2018-07       Impact factor: 3.352

3.  Could Patient Undergwent Surgical Treatment for Periprosthetic Femoral Fracture after Hip Arthroplasty Return to Their Status before Trauma?

Authors:  Long Zheng; Woo-Yong Lee; Deuk-Soo Hwang; Chan Kang; Chang-Kyun Noh
Journal:  Hip Pelvis       Date:  2016-06-30

4.  "A National Study Demonstrating the Need for Improved Frailty Indices for Preoperative Risk Assessment of Common Urologic Procedures".

Authors:  Katherine A Amin; Una J Lee; Chengshi Jin; John Boscardin; Andrew R Medendorp; Jennifer T Anger; Anne M Suskind
Journal:  Urology       Date:  2019-07-11       Impact factor: 2.649

5.  Assessment of 30-Day Adverse Events in Single-Event, Multilevel Upper Extremity Surgery in Adult Patients with Upper Motor Neuron Syndrome.

Authors:  Raahil Patel; Peter C Rhee
Journal:  Hand (N Y)       Date:  2020-12-11

6.  What is the predictor of surgical mortality in adult colorectal perforation? The clinical characteristics and results of a multivariate logistic regression analysis.

Authors:  Chao-Wen Hsu; Jui-Ho Wang; Ya-Hsin Kung; Min-Chi Chang
Journal:  Surg Today       Date:  2016-09-20       Impact factor: 2.549

7.  Insurance Type and Major Complications After Hysterectomy.

Authors:  Carolyn Weaver Swenson; Neil S Kamdar; Helen Levy; Darrell A Campbell; Daniel M Morgan
Journal:  Female Pelvic Med Reconstr Surg       Date:  2017 Jan/Feb       Impact factor: 2.091

8.  Leading Comorbidity associated with 30-day post-anesthetic mortality in geriatric surgical patients in Taiwan: a retrospective study from the health insurance data.

Authors:  Chun-Lin Chu; Hung-Yi Chiou; Wei-Han Chou; Po-Ya Chang; Yi-You Huang; Huei-Ming Yeh
Journal:  BMC Geriatr       Date:  2017-10-24       Impact factor: 3.921

9.  New surgical scoring system to predict postoperative mortality.

Authors:  Maho Kinoshita; Nobutada Morioka; Mariko Yabuuchi; Makoto Ozaki
Journal:  J Anesth       Date:  2016-12-19       Impact factor: 2.078

10.  One piece of the puzzle: Population pharmacokinetics of FVIII during perioperative Haemate P® /Humate P® treatment in von Willebrand disease patients.

Authors:  Nico C B de Jager; Laura H Bukkems; Jessica M Heijdra; Carolien H C A M Hazendonk; Karin Fijnvandraat; Karina Meijer; Jeroen Eikenboom; Britta A P Laros-van Gorkom; Frank W G Leebeek; Marjon H Cnossen; Ron A A Mathôt
Journal:  J Thromb Haemost       Date:  2019-10-21       Impact factor: 5.824

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.