Literature DB >> 31162882

Modified frailty index predicts early outcomes after colorectal surgery: an ACS-NSQIP study.

A Al-Khamis1,2, C Warner3, J Park2, S Marecik2, N Davis3, A Mellgren3, J Nordenstam3, K Kochar2.   

Abstract

AIM: Frailty is defined as a decrease in physiological reserve with increased risk of morbidity following significant physiological stressors. This study examines the predictive power of the five-item modified frailty index (5-mFI) in predicting outcomes in colorectal surgery patients.
METHODS: The American College of Surgeons National Surgical Quality Improvement Program Database was queried from 2011 to 2016 to determine the predictive power of 5-mFI in patients who had colorectal surgery.
RESULTS: Of 295 490 patients, 45.8% had a score of 0, 36.2% had a score of 1 and 18% had a score of ≥ 2. On univariate analysis, frailer patients had significantly greater incidences for overall morbidity, serious morbidity, mortality, prolonged length of hospital stay, discharge to a facility other than home, reoperation and unplanned readmission. These findings were consistent on multivariate analysis where the frailest patients had greater odds of postoperative overall morbidity (OR 1.39; 95% CI 1.35-1.43), serious morbidity (OR 1.39; 95% CI 1.33-1.45), mortality (OR 2.00; 95% CI 1.87-2.14), prolonged length of hospital stay (OR 1.24; 95% CI 1.20-1.27), discharge destination to a facility other than home (OR 2.80; 95% CI 2.70-2.90), reoperation (OR 1.17; 95% CI 1.11-1.23) and unplanned readmission (OR 1.31; 95% CI 1.26-1.36). Weighted kappa statistics showed strong agreement between the 5-mFI and 11-mFI (kappa = 0.987, P < 0.001).
CONCLUSIONS: The 5-mFI is a valid and easy to use predictor of 30-day postoperative outcomes after colorectal surgery. This tool may guide the surgeon to proactively recognize frail patients to instigate interventions to optimize them preoperatively. Colorectal Disease
© 2019 The Association of Coloproctology of Great Britain and Ireland.

Entities:  

Keywords:  Frailty; NSQIP; colorectal; outcomes; postoperative

Year:  2019        PMID: 31162882     DOI: 10.1111/codi.14725

Source DB:  PubMed          Journal:  Colorectal Dis        ISSN: 1462-8910            Impact factor:   3.788


  5 in total

1.  The new SUMPOT to predict postoperative complications using an Artificial Neural Network.

Authors:  Cosimo Chelazzi; Gianluca Villa; Andrea Manno; Viola Ranfagni; Eleonora Gemmi; Stefano Romagnoli
Journal:  Sci Rep       Date:  2021-11-22       Impact factor: 4.379

2.  The prevalence and prognostic value of frailty screening measures in patients undergoing surgery for colorectal cancer: observations from a systematic review.

Authors:  Josh McGovern; Ross D Dolan; Paul G Horgan; Barry J Laird; Donald C McMillan
Journal:  BMC Geriatr       Date:  2022-03-29       Impact factor: 3.921

3.  Functional Not Medical Frailty Is Associated With Long-Term Disability After Surgery for Colorectal Cancer.

Authors:  Meridith Ginesi; Katherine Bingmer; Johnathan T Bliggenstorfer; Asya Ofshteyn; Emily Steinhagen; Sharon L Stein
Journal:  Cureus       Date:  2022-03-16

4.  5-mFI is more accurate than ASA score in predicting postoperative mortality in rectal cancer: A case series of 109 patients.

Authors:  Mahdi Bouassida; Hazem Beji; Yessin Kallel; Mohamed Fadhel Chtourou; Houda Belfkih; Bacem Trabelsi; Hassen Touinsi
Journal:  Ann Med Surg (Lond)       Date:  2022-09-01

5.  Will My Patient Survive an Anastomotic Leak? Predicting Failure to Rescue Using the Modified Frailty Index.

Authors:  Richard T Spence; Dhruvin H Hirpara; Sachin Doshi; Fayez A Quereshy; Sami A Chadi
Journal:  Ann Surg Oncol       Date:  2020-10-23       Impact factor: 5.344

  5 in total

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