Harnessing radiomics and nutritional metrics to predict long-term survival in Fournier’s gangrene patients

医学 肌萎缩 比例危险模型 危险系数 内科学 逻辑回归 生存分析 查尔森共病指数 共病 外科 置信区间
作者
Kamil Malshy,Stephen Schmit,Borivoj Golijanin,Benjamin Ahn,John R. Morgan,Amir Farah,K. Miller,Dragan Golijanin,Madeline Cancian
出处
期刊:Rivista Urologia [SAGE Publishing]
标识
DOI:10.1177/03915603251318502
摘要

Purpose: To evaluate the association of traditional and novel nutritional measurements with survival in Fournier’s gangrene (FG) patients. Methods: We reviewed records of FG patients from our tertiary center (Jan 2013–Jan 2022). Radiomic sarcopenia parameters (Psoas Muscle Area [PMA], Roundness, Solidity, and calculated PMA-Index) were measured from admission CT scans at the L3 level using ImageJ software. We assessed sarcopenia’s impact on survival through three analyses: Model 1 used a PMI below the sex-adjusted median; Models 2 and 3 used published cutoffs. Kaplan-Meier curves were used to compare survival between sarcopenic and non-sarcopenic patients. Multivariable Cox and logistic regression analyses adjusted for age and the Charlson Comorbidity Index (CCI) to assess mortality risk. Results: Of 130 men and 31 women (82% white), 60 patients (37.3%) had died after a median follow-up of 2.2 years (IQR 0.9-4.4). Survival rates were 94% at 30 days, 92% at 90 days, 80% at 1 year, 77% at 2 years, and 56% at 5 years. Non-survivors were older (median age 63 vs 55.1 years, p < 0.001) and had higher median CCI (4.8 vs 3; p < 0.001). In Model 1, sarcopenic patients had a non-significant increased mortality risk with hazard ratio (HR 1.47, 95% CI 0.82–2.64, p = 0.196). Models 2 and 3 showed similar results (HR 1.41, 95% CI 0.70–2.84, p = 0.325; HR 1.35, 95% CI 0.70–2.61, p = 0.364). None of the models were significant when adjusting for CCI and age. Survivors had better traditional metabolic profiles, including higher albumin (3.1vs 2.7 g/dL), hemoglobin (12.4vs 11.4 g/dL), and lower creatinine (1.39 vs 2.1 mg/dL); however, none of these were significant when adjusting for age and CCI. Conclusions: Despite a mild trend, none of the sarcopenia models were able to predict long-term mortality in FG patients in our cohort. This well-known, cost-effective nutritional predictor still requires further research to optimize its utilization in the FG patient population.
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