Predicting of Frailty

Overview

This study aims to evaluate the frailty status of elderly patients undergoing surgery for hip fractures (femur trochanteric fractures). Since frailty is a critical factor in surgical outcomes and recovery, researchers want to find simple, fast, and objective ways to measure it. This study will investigate muscle thickness measured by ultrasound, handgrip strength measured by a dynamometer, and routine blood test values can accurately predict a patient's frailty level. If these objective methods are proven effective, it will help anesthesia and surgical teams manage the perioperative process more safely for high-risk elderly patients

65 and over years old elderly patients admitted to the orthopedics department with a diagnosis of trochanteric femur fracture will be enrolled in this study. Preoperative Assessment: A researcher anesthesiologist, who is not involved in the patient's perioperative clinical management, will conduct the assessments to ensure objectivity. One day prior to the scheduled surgery, the following procedures will be performed: Frailty Evaluation: Clinical frailty status will be determined using the Clinical Frailty Scale. In conjunction with this, handgrip strength will be measured using a calibrated hand dynamometer. Ultrasonographic Measurements: Ultrasound will be used to measure the thickness of the rectus femoris muscle and the distance from the femur to the skin. These measurements will serve as objective indicators of musculoskeletal status. Data Collection: Demographic data (age, weight, height, comorbidities) and routine preoperative laboratory results will be recorded from the hospital's electronic medical records. Laboratory parameters to be analyzed include: Hematological: Hemoglobin, MPV, MCV, Neutrophil, and Lymphocyte counts. Biochemical: Albumin, Creatinine, CRP, and GFR. The study focuses on evaluating the correlation between these objective measurements (ultrasound and dynamometry) and the established clinical frailty scores to determine their predictive value in the geriatric surgical population.

Conditions