ArticleJAMA network open2023
Automated Electronic Frailty Index-Identified Frailty Status and Associated Postsurgical Adverse Events.
Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
22 citing papers in PubMed.
- Comparison of opioid-free versus opioid-based total intravenous anaesthesia in elderly patients undergoing short-duration surgery: a randomized controlled trial.Annals of medicine · 2026Trial
- The Association of an Electronic Frailty Index with Glaucoma Shunt Outcomes.Geriatrics (Basel, Switzerland) · 2026Article
- Recurrence or persistence of atrial fibrillation is associated with frailty and adverse outcomes: the SAGE-AF cohort study.BMC geriatrics · 2026Article
- The application value of frailty assessment tools in the perioperative period: A narrative review.Journal of anesthesia and translational medicine · 2026Review
- Regional cerebral oxygen saturation metrics for predicting postoperative delirium in elderly patients undergoing non-cardiac, non-neurological surgery: a propensity-matched cohort study.Journal of anesthesia · 2026Article
- Neural embedding of frailty in cognitively unimpaired aging and dementia across Latin America.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Association Between the Frailty Index and Self-Reported Headache in Middle-Aged and Older Chinese Adults: An Analysis of the China Health and Retirement Longitudinal Study.Pain research & management · 2026Article
- The mediating pathways of frailty on healthcare costs and length of stay in older patients with colorectal cancer: a multicenter retrospective study.Frontiers in medicine · 2026Article
- Using an electronic frailty index and patient reported outcomes to predict sarcopenia risk.Scientific reports · 2025Article
- External validation of an AI-based preoperative frailty index using real-world data.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- A Large Language Model Approach to Identifying Preoperative Frailty Among Older Adults From Clinical Notes.Journal of the American Geriatrics Society · 2025Article
- The Implementation of Frailty Assessment Tools in the Acute Care Setting: A Scoping Review.Journal of the American Geriatrics Society · 2025Article
- Can laboratory test-based frailty indices contribute to frailty screening in emergency departments?Age and ageing · 2025Article
- Frailty and intraoperative hypotension: is the risk significant and modifiable?British journal of anaesthesia · 2025Article
- Frailty and associated healthcare expenditures among patients undergoing total hip and knee arthroplasty.The Journal of frailty & aging · 2025Article
- Developing an Electronic Frailty Index (eFI) and a biological age trajectory with a cohort of over one million older adults in Hong Kong.The Journal of frailty & aging · 2025Article
- Association between 5-item modified frailty index and clinical outcomes in elderly rectal cancer patients after radical surgery.Scientific reports · 2025Article
- Bidirectional transitions of frailty states among middle-aged and older adults: a longitudinal cohort analysis using a multi-state Markov model based on the China Health and Retirement Longitudinal Study.Innovation in aging · 2025Article
- The Relationship of Frailty with Surgical and Laser Treatment for Patients with Glaucoma.Clinical ophthalmology (Auckland, N.Z.) · 2025Article
- An Electronic Frailty Index Based on Deficit Accumulation May Predict Glaucomatous Visual Field Progression.Clinical ophthalmology (Auckland, N.Z.) · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
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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