Key result
Frail patients undergoing open lower extremity revascularization had a significantly higher risk of non-home discharge compared to pre-frail patients (OR 3.01; 95% CI 1.40-6.48).
Why the study?
Frailty predicts adverse surgical outcomes, but existing screening tools are time- and resource-intensive, prompting evaluation of an automated electronic health record-derived frailty index.
Does frailty status based on an automated electronic frailty index predict non-home discharge in patients undergoing open lower extremity revascularization?
Cohort (n=295)
No
Does frailty status based on an automated electronic frailty index predict non-home discharge in patients undergoing open lower extremity revascularization?
An automated electronic frailty index derived from routine EHR data can identify vascular surgery patients at significantly higher risk of non-home discharge.
Answers are grounded in this paper and cite their sources.
eFI may aid discharge planning in vascular patients; leaves open prospective validation before routine use.
BACKGROUND: Frailty is associated with adverse surgical outcomes including post-operative complications, needs for post-acute care, and mortality. While multiple frailty screening tools exist, most are time and resource intensive. Here we examine the association of an automated electronic frailty index (eFI), derived from routine data in the Electronic Health Record (EHR), with outcomes in vascular surgery patients undergoing open, lower extremity revascularization. METHODS: A retrospective analysis at a single academic medical center from 2015 to 2019 was completed. Information extracted from the EHR included demographics, eFI, comorbidity, and procedure type. Frailty status was defined as fit (eFI≤0.10), pre-frail (0.10 0.21). Outcomes included length of stay (LOS), 30-day readmission, and non-home discharge. RESULTS: We included 295 patients (mean age 65.9 years; 31% female), with the majority classified as pre-frail (57%) or frail (32%). Frail patients exhibited a higher degree of comorbidity and were more likely to be classified as American Society of Anesthesiologist class IV (frail: 46%, pre-frail: 27%, and fit: 18%, P = 0.0012). There were no statistically significant differences in procedure type, LOS, or 30-day readmissions based on eFI. Frail patients were more likely to expire in the hospital or be discharged to an acute care facility (31%) compared to pre-frail (14%) and fit patients (15%, P = 0.002). Adjusting for comorbidity, risk of non-home discharge was higher comparing frail to pre-frail patients (OR 3.01, 95% CI 1.40-6.48). DISCUSSION: Frail patients, based on eFI, undergoing elective, open, lower extremity revascularization were twice as likely to not be discharged home.
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Stutsrim et al. (2022) conducted a cohort in Peripheral vascular disease (n=295). Frailty (based on automated electronic frailty index) vs. Pre-frail and fit patients was evaluated on Non-home discharge (expire in hospital or discharged to acute care facility) (OR 3.01, 95% CI 1.40-6.48, p=0.002). Frail patients undergoing open lower extremity revascularization had a significantly higher risk of non-home discharge compared to pre-frail patients (OR 3.01; 95% CI 1.40-6.48).
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