ArticleAmerican journal of translational research2024
Predictive modeling of frailty status in elderly abdominal surgery patients by preoperative quadriceps ultrasound testing.
Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectiveTo develop a predictive model based on preoperative quadriceps ultrasound measurements to determine frailty status in elderly patients undergoing abdominal surgery.
methodsThe clinical data of 148 elderly patients who underwent abdominal surgery from July 2018 to June 2022 were retrospectively analyzed. The patients were assessed for frailty using the Fried Frailty Phenotype Assessment Scale after operation and divided into a no-frailty group (n=89) and a frailty group (n=59). The differences in the patient's clinical data, perioperative indexes, and imaging indexes were compared. The risk factors affecting the frailty status of elderly patients undergoing abdominal surgery were analyzed by logistic regression. The efficacy of the prediction model was evaluated by receiver operating characteristic (ROC) curve, with model validity confirmed through calibration curves and decision curve analysis (DCA).
resultsThe proportion of patients with age ≥80 and BMI ≥23 kg/m
conclusionBMI and thickness of all quadriceps muscle components were significant factors affecting the frailty status of elderly patients undergoing abdominal surgery. In addition, the developed model, with excellent accuracy, offers a potential tool for preoperative risk assessment in this patient population.
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