ArticleAnnals of surgical oncology2025
The Five-Item Modified Frailty Index Predicts Adverse Surgical Outcomes in Patients Undergoing Mastectomy.
Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- The FINE Index: A Frailty- and Immunonutrition-Based Nomogram for Survival in Geriatric Breast Cancer: A Retrospective Study.Cancer medicine · 2026Article
- The importance of comprehensive geriatric assessment in predicting the outcome of patients with proximal humerus fractures.Aging clinical and experimental research · 2026Article
- The 5-point Modified Frailty Index in Plastic and Reconstructive Surgery: Meta-analysis.Plastic and reconstructive surgery. Global open · 2026Article
- Development and validation of a risk prediction model for postoperative pneumonia in elderly non-cardiac surgery patients: a retrospective cohort study.Scientific reports · 2025Article
- Association of frailty with perioperative outcomes after mastectomy with and without immediate breast reconstruction.Surgery open science · 2025Article
- ASO Author Reflections: The Five-Item Modified Frailty Index in Breast Cancer Surgery: Past Insights, Present Evidence, and Future Directions.Annals of surgical oncology · 2025Article
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10 authors.
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Abstract
backgroundThe 5-item modified Frailty Index (mFI-5) is a clinical tool to predict adverse outcomes in surgical patients by assessing five comorbidities: diabetes, hypertension, congestive heart failure, chronic obstructive pulmonary disease, and dependent functional status. It helps to evaluate postoperative complication risks, recovery time, and overall survival, particularly in frail patients undergoing oncological and gynecological surgeries.
methodsThis retrospective cohort study analyzed American College of Surgeons, National Surgical Quality Improvement Program data from adult female patients undergoing mastectomy procedures without reconstruction between 2017 and 2022. Patients were selected based on Current-Procedural-Terminology codes, excluding incomplete or non-breast-related cases. Preoperative, perioperative, and 30-day postoperative data were analyzed using logistic and linear regression models, with the mFI-5 cutoff set at 2.
resultsBetween 2017 and 2022, 860 patients underwent mastectomies at Yale Healthcare Network; 19% (n = 163) had mFI score ≥2. High-risk patients (mFI ≥2) were significantly older (66.32 ± 10.83 years) and had a higher body mass index (33.69 ± 7.73, both p < 0.001). Surgical complications occurred in 11.98% of patients, with a higher rate in the high-risk group (22.7% vs. 9.5%, p < 0.001). Adjusted multivariate logistic regression showed an increased risk of complications in frail patients (aOR 2.66; [1.60-4.43], p < 0.001). Although slight reductions in hospital stay and surgery duration were observed for high-risk patients, these differences were not significant. Sensitivity analysis confirmed higher odds of complications, including acute kidney failure (odds ratio [OR] 9.01) and pneumonia (OR 4.10).
conclusionsThe mFI-5 is a robust tool for predicting surgical complications in patients undergoing mastectomy, particularly those with multiple comorbidities.
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