Which Frailty Evaluation Method Can Better Improve the Predictive Ability of the SASA for Postoperative Complications of Patients Undergoing Elective Abdominal Surgery?

Yanyan Yin,1 Li Jiang,2 Lixin Xue3 1Department of Neurological Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, People’s Republic of China; 2Department of Critical Care Medicine, Xuanwu Hospital, Capital Medical University, Beijing, 100053, People’s Repub...

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Main Authors: Yin Y, Jiang L, Xue L
Format: Article
Language:English
Published: Dove Medical Press 2022-05-01
Series:Therapeutics and Clinical Risk Management
Subjects:
Online Access:https://www.dovepress.com/which-frailty-evaluation-method-can-better-improve-the-predictive-abil-peer-reviewed-fulltext-article-TCRM
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author Yin Y
Jiang L
Xue L
author_facet Yin Y
Jiang L
Xue L
author_sort Yin Y
collection DOAJ
description Yanyan Yin,1 Li Jiang,2 Lixin Xue3 1Department of Neurological Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, People’s Republic of China; 2Department of Critical Care Medicine, Xuanwu Hospital, Capital Medical University, Beijing, 100053, People’s Republic of China; 3Department of General Surgery, Fuxing Hospital, Capital Medical University, Beijing, 100038, People’s Republic of ChinaCorrespondence: Li Jiang, Department of Critical Care Medicine, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Xicheng District, Beijing, 100053, People’s Republic of China, Tel +8613601366055, Email jianglipaper@sina.comPurpose: To determine which frailty method can better improve the predictive ability of the Surgical Apgar Score combined with American Society of Anesthesiologists physical status classification (SASA).Patients and Methods: A prospective cohort study was conducted. A total of 194 elderly patients undergoing elective abdominal surgery were included. Preoperative frailty using FRAIL questionnaire, frailty index (FI), Clinical Frailty Scale (CFS) and SASA scores was assessed. Primary outcome was in-hospital Clavien-Dindo ≥grade II complications. Multiple logistic regression was used to examine the association between frailty and complications. Receiver operating characteristic curves were used to explore the predictive ability of frailty.Results: According to the FRAIL, FI and CFS criteria, the prevalence of frailty in the study population was 43.8%, 32.5%, and 36.6%, respectively. After adjusting for all covariates, frailty was significantly associated with postoperative complications in hospital by FRAIL [odds ratio: 5.11, 95% CI: 1.41– 18.44, P = 0.013], by FI [OR: 4.25, 95% CI: 1.21– 14.90, P = 0.024] and by CFS [OR: 5.10, 95% CI: 1.52– 17.17, P = 0.008]. The area under the curve (AUC) for SASA was 0.768 (95% CI: 0.702– 0.826). Addition of frailty assessment (FRAIL, FI and CFS) increased the AUC to 0.787 (95% CI: 0.722– 0.842), 0.798 (95% CI: 0.734– 0.852), and 0.815 (95% CI: 0.753– 0.867), respectively. Compared to SASA, only addition of CFS had a significant difference (P = 0.0478).Conclusion: Frailty is an effective predictor of postoperative complications in elderly Chinese patients undergoing elective abdominal surgery. Frailty assessment of CFS can better improve the predictive ability of SASA.Keywords: frailty assessment, risk assessment tool, postoperative complication
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spelling doaj.art-69bf76c998854b858468f0761520bccc2022-12-22T03:25:06ZengDove Medical PressTherapeutics and Clinical Risk Management1178-203X2022-05-01Volume 1854155075089Which Frailty Evaluation Method Can Better Improve the Predictive Ability of the SASA for Postoperative Complications of Patients Undergoing Elective Abdominal Surgery?Yin YJiang LXue LYanyan Yin,1 Li Jiang,2 Lixin Xue3 1Department of Neurological Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, 100144, People’s Republic of China; 2Department of Critical Care Medicine, Xuanwu Hospital, Capital Medical University, Beijing, 100053, People’s Republic of China; 3Department of General Surgery, Fuxing Hospital, Capital Medical University, Beijing, 100038, People’s Republic of ChinaCorrespondence: Li Jiang, Department of Critical Care Medicine, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Xicheng District, Beijing, 100053, People’s Republic of China, Tel +8613601366055, Email jianglipaper@sina.comPurpose: To determine which frailty method can better improve the predictive ability of the Surgical Apgar Score combined with American Society of Anesthesiologists physical status classification (SASA).Patients and Methods: A prospective cohort study was conducted. A total of 194 elderly patients undergoing elective abdominal surgery were included. Preoperative frailty using FRAIL questionnaire, frailty index (FI), Clinical Frailty Scale (CFS) and SASA scores was assessed. Primary outcome was in-hospital Clavien-Dindo ≥grade II complications. Multiple logistic regression was used to examine the association between frailty and complications. Receiver operating characteristic curves were used to explore the predictive ability of frailty.Results: According to the FRAIL, FI and CFS criteria, the prevalence of frailty in the study population was 43.8%, 32.5%, and 36.6%, respectively. After adjusting for all covariates, frailty was significantly associated with postoperative complications in hospital by FRAIL [odds ratio: 5.11, 95% CI: 1.41– 18.44, P = 0.013], by FI [OR: 4.25, 95% CI: 1.21– 14.90, P = 0.024] and by CFS [OR: 5.10, 95% CI: 1.52– 17.17, P = 0.008]. The area under the curve (AUC) for SASA was 0.768 (95% CI: 0.702– 0.826). Addition of frailty assessment (FRAIL, FI and CFS) increased the AUC to 0.787 (95% CI: 0.722– 0.842), 0.798 (95% CI: 0.734– 0.852), and 0.815 (95% CI: 0.753– 0.867), respectively. Compared to SASA, only addition of CFS had a significant difference (P = 0.0478).Conclusion: Frailty is an effective predictor of postoperative complications in elderly Chinese patients undergoing elective abdominal surgery. Frailty assessment of CFS can better improve the predictive ability of SASA.Keywords: frailty assessment, risk assessment tool, postoperative complicationhttps://www.dovepress.com/which-frailty-evaluation-method-can-better-improve-the-predictive-abil-peer-reviewed-fulltext-article-TCRMfrailty assessmentrisk assessment toolpostoperative complication
spellingShingle Yin Y
Jiang L
Xue L
Which Frailty Evaluation Method Can Better Improve the Predictive Ability of the SASA for Postoperative Complications of Patients Undergoing Elective Abdominal Surgery?
Therapeutics and Clinical Risk Management
frailty assessment
risk assessment tool
postoperative complication
title Which Frailty Evaluation Method Can Better Improve the Predictive Ability of the SASA for Postoperative Complications of Patients Undergoing Elective Abdominal Surgery?
title_full Which Frailty Evaluation Method Can Better Improve the Predictive Ability of the SASA for Postoperative Complications of Patients Undergoing Elective Abdominal Surgery?
title_fullStr Which Frailty Evaluation Method Can Better Improve the Predictive Ability of the SASA for Postoperative Complications of Patients Undergoing Elective Abdominal Surgery?
title_full_unstemmed Which Frailty Evaluation Method Can Better Improve the Predictive Ability of the SASA for Postoperative Complications of Patients Undergoing Elective Abdominal Surgery?
title_short Which Frailty Evaluation Method Can Better Improve the Predictive Ability of the SASA for Postoperative Complications of Patients Undergoing Elective Abdominal Surgery?
title_sort which frailty evaluation method can better improve the predictive ability of the sasa for postoperative complications of patients undergoing elective abdominal surgery
topic frailty assessment
risk assessment tool
postoperative complication
url https://www.dovepress.com/which-frailty-evaluation-method-can-better-improve-the-predictive-abil-peer-reviewed-fulltext-article-TCRM
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