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Automated Electronic Frailty Index–Identified Frailty Status and Associated Postsurgical Adverse Events

IMPORTANCE: Electronic frailty index (eFI) is an automated electronic health record (EHR)–based tool that uses a combination of clinical encounters, diagnosis codes, laboratory workups, medications, and Medicare annual wellness visit data as markers of frailty status. The association of eFI with pos...

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Autores principales: Khanna, Ashish K., Motamedi, Vida, Bouldin, Bethany, Harwood, Timothy, Pajewski, Nicholas M., Saha, Amit K., Segal, Scott
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628731/
https://www.ncbi.nlm.nih.gov/pubmed/37930697
http://dx.doi.org/10.1001/jamanetworkopen.2023.41915
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author Khanna, Ashish K.
Motamedi, Vida
Bouldin, Bethany
Harwood, Timothy
Pajewski, Nicholas M.
Saha, Amit K.
Segal, Scott
author_facet Khanna, Ashish K.
Motamedi, Vida
Bouldin, Bethany
Harwood, Timothy
Pajewski, Nicholas M.
Saha, Amit K.
Segal, Scott
author_sort Khanna, Ashish K.
collection PubMed
description IMPORTANCE: Electronic frailty index (eFI) is an automated electronic health record (EHR)–based tool that uses a combination of clinical encounters, diagnosis codes, laboratory workups, medications, and Medicare annual wellness visit data as markers of frailty status. The association of eFI with postanesthesia adverse outcomes has not been evaluated. OBJECTIVE: To examine the association of frailty, calculated as eFI at the time of the surgical procedure and categorized as fit, prefrail, or frail, with adverse events after elective noncardiac surgery. DESIGN, SETTING, AND PARTICIPANTS: This cohort study was conducted at a tertiary care academic medical center in Winston-Salem, North Carolina. The cohort included patients 55 years or older who underwent noncardiac surgery of at least 1 hour in duration between October 1, 2017, and June 30, 2021. EXPOSURE: Frailty calculated by the eFI tool. Preoperative eFI scores were calculated based on available data 1 day prior to the procedure and categorized as fit (eFI score: ≤0.10), prefrail (eFI score: >0.10 to ≤0.21), or frail (eFI score: >0.21). MAIN OUTCOMES AND MEASURES: The primary outcome was a composite of the following 8 adverse component events: 90-item Patient Safety Indicators (PSI 90) score, hospital-acquired conditions, in-hospital mortality, 30-day mortality, 30-day readmission, 30-day emergency department visit after surgery, transfer to a skilled nursing facility after surgery, or unexpected intensive care unit admission after surgery. Secondary outcomes were each of the component events of the composite. RESULTS: Of the 33 449 patients (median [IQR] age, 67 [61-74] years; 17 618 females [52.7%]) included, 11 563 (34.6%) were classified as fit, 15 928 (47.6%) as prefrail, and 5958 (17.8%) as frail. Using logistic regression models that were adjusted for age, sex, race and ethnicity, and comorbidity burden, patients with prefrail (odds ratio [OR], 1.24; 95% CI, 1.18-1.30; P < .001) and frail (OR, 1.71; 95% CI, 1.58-1.82; P < .001) statuses were more likely to experience postoperative adverse events compared with patients with a fit status. Subsequent adjustment for all other potential confounders or covariates did not alter this association. For every increase in eFI of 0.03 units, the odds of a composite of postoperative adverse events increased by 1.06 (95% CI, 1.03-1.13; P < .001). CONCLUSIONS AND RELEVANCE: This cohort study found that frailty, as measured by an automatically calculated index integrated within the EHR, was associated with increased risk of adverse events after noncardiac surgery. Deployment of eFI tools may support screening and possible risk modification, especially in patients who undergo high-risk surgery.
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spelling pubmed-106287312023-11-08 Automated Electronic Frailty Index–Identified Frailty Status and Associated Postsurgical Adverse Events Khanna, Ashish K. Motamedi, Vida Bouldin, Bethany Harwood, Timothy Pajewski, Nicholas M. Saha, Amit K. Segal, Scott JAMA Netw Open Original Investigation IMPORTANCE: Electronic frailty index (eFI) is an automated electronic health record (EHR)–based tool that uses a combination of clinical encounters, diagnosis codes, laboratory workups, medications, and Medicare annual wellness visit data as markers of frailty status. The association of eFI with postanesthesia adverse outcomes has not been evaluated. OBJECTIVE: To examine the association of frailty, calculated as eFI at the time of the surgical procedure and categorized as fit, prefrail, or frail, with adverse events after elective noncardiac surgery. DESIGN, SETTING, AND PARTICIPANTS: This cohort study was conducted at a tertiary care academic medical center in Winston-Salem, North Carolina. The cohort included patients 55 years or older who underwent noncardiac surgery of at least 1 hour in duration between October 1, 2017, and June 30, 2021. EXPOSURE: Frailty calculated by the eFI tool. Preoperative eFI scores were calculated based on available data 1 day prior to the procedure and categorized as fit (eFI score: ≤0.10), prefrail (eFI score: >0.10 to ≤0.21), or frail (eFI score: >0.21). MAIN OUTCOMES AND MEASURES: The primary outcome was a composite of the following 8 adverse component events: 90-item Patient Safety Indicators (PSI 90) score, hospital-acquired conditions, in-hospital mortality, 30-day mortality, 30-day readmission, 30-day emergency department visit after surgery, transfer to a skilled nursing facility after surgery, or unexpected intensive care unit admission after surgery. Secondary outcomes were each of the component events of the composite. RESULTS: Of the 33 449 patients (median [IQR] age, 67 [61-74] years; 17 618 females [52.7%]) included, 11 563 (34.6%) were classified as fit, 15 928 (47.6%) as prefrail, and 5958 (17.8%) as frail. Using logistic regression models that were adjusted for age, sex, race and ethnicity, and comorbidity burden, patients with prefrail (odds ratio [OR], 1.24; 95% CI, 1.18-1.30; P < .001) and frail (OR, 1.71; 95% CI, 1.58-1.82; P < .001) statuses were more likely to experience postoperative adverse events compared with patients with a fit status. Subsequent adjustment for all other potential confounders or covariates did not alter this association. For every increase in eFI of 0.03 units, the odds of a composite of postoperative adverse events increased by 1.06 (95% CI, 1.03-1.13; P < .001). CONCLUSIONS AND RELEVANCE: This cohort study found that frailty, as measured by an automatically calculated index integrated within the EHR, was associated with increased risk of adverse events after noncardiac surgery. Deployment of eFI tools may support screening and possible risk modification, especially in patients who undergo high-risk surgery. American Medical Association 2023-11-06 /pmc/articles/PMC10628731/ /pubmed/37930697 http://dx.doi.org/10.1001/jamanetworkopen.2023.41915 Text en Copyright 2023 Khanna AK et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Khanna, Ashish K.
Motamedi, Vida
Bouldin, Bethany
Harwood, Timothy
Pajewski, Nicholas M.
Saha, Amit K.
Segal, Scott
Automated Electronic Frailty Index–Identified Frailty Status and Associated Postsurgical Adverse Events
title Automated Electronic Frailty Index–Identified Frailty Status and Associated Postsurgical Adverse Events
title_full Automated Electronic Frailty Index–Identified Frailty Status and Associated Postsurgical Adverse Events
title_fullStr Automated Electronic Frailty Index–Identified Frailty Status and Associated Postsurgical Adverse Events
title_full_unstemmed Automated Electronic Frailty Index–Identified Frailty Status and Associated Postsurgical Adverse Events
title_short Automated Electronic Frailty Index–Identified Frailty Status and Associated Postsurgical Adverse Events
title_sort automated electronic frailty index–identified frailty status and associated postsurgical adverse events
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628731/
https://www.ncbi.nlm.nih.gov/pubmed/37930697
http://dx.doi.org/10.1001/jamanetworkopen.2023.41915
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