Background: There is increasing evidence supporting the association between frailty and
adverse outcomes after surgery. There is, however, no consensus on how frailty should be …

Background: Existing data on the epidemiology of shoulder arthroplasty are limited to future
projections of incidence. However, the prevalence of shoulder arthroplasty (the number of …

Different methods have been proposed for the assessment of the nutritional status in frailty
phenotypes. In the present narrative review article, we have summarized the number and …

Background We aimed to demonstrate that supervised machine learning (ML) models can
better predict postoperative complications after total shoulder arthroplasty (TSA) than …

Background The 5-factor modified frailty index (mFI-5) and the 11-factor modified frailty
index (mFI-11) are equally effective in predicting adverse outcomes in the American College …

Background There is limited research regarding the association between the mFI-5 and
postoperative complications among adult spinal deformity (ASD) patients. Methods Using …

Importance Electronic frailty metrics have been developed for automated frailty assessment
and include the Hospital Frailty Risk Score (HFRS), the Electronic Frailty Index (eFI), the 5 …

Introduction Preoperative frailty is a strong predictor of postoperative morbidity in the general
surgery population. Despite this, there are a paucity of research examining the effect of frailty …

Background The age-adjusted modified frailty index (aamFI) has been demonstrated to
effectively predict postoperative complications and healthcare resource utilization in patients …

Frailty is a loss of functional reserve that compromises a person's ability to cope with
stressors such as surgery. Identifying and quantifying frailty may enable intensive …