Analysis of risk factors for sarcopenia in lung cancer patients with random forest model
Objective To investigate the current situation of the occurrence of sarcopenia in lung cancer patients and analyze its risk factors,so as to provide reference for clinical identification of the high-risk group of sarcopenia in lung cancer.Method A total of 420 lung cancer patients were conveniently selected from the First Affiliated Hospital of Guangzhou Medical University between September 2022 and July 2023.Based on the diagnostic criteria of the Asian sarcopenia working group in 2019,the study subjects were divided into sarcopenia and non-sarcopenia groups by using several indexes for joint diagnosis,such as skeletal muscle index,grip strength,and 5 times sit-up test time.The random forest algorithm was applied to rank the importance of potential independent variables influencing sarcopenia,while considering classification errors with out-of-bag data.The selected variables were subsequently incorporated into a multifactorial logistic regression analysis.Result Out of the 420 lung cancer patients,97(23.10%)exhibited coexisting sarcopenia,with 47(11.19%)classified as severe cases.The results of binary logistic regression showed that calf circumference(OR=0.533)was a protective factor for the development of sarcopenia in lung cancer patients,while age≥65 years(OR=3.789),high SARC-F score(OR=1.857),and history of smoking(OR=4.407)were independent risk factors(P<0.05).Conclusion A high prevalence of sarcopenia is prevalent in lung cancer patients.The risk of sarcopenia was greater for patients≥65 years of age,smaller calf circumference,higher SARC-F scores,and a history of smoking.It is recommended that healthcare professionals should pay more attention to these high-risk groups and implement early interventions to reduce the incidence of sarcopenia in lung cancer patients.
Lung cancerSarcopeniaRisk factorsRandomized forestCross-sectional study
NETL
NSTL
万方数据
