Predictors for development of oxaliplatin-induced peripheral neuropathy in cancer patients as determined by ordered logistic regression analysis.

Autor: Yuko Kanbayashi, Takeshi Ishikawa, Yoshiaki Kuriu, Eigo Otsuji, Koichi Takayama
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: PLoS ONE, Vol 17, Iss 9, p e0275481 (2022)
Druh dokumentu: article
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0275481
Popis: BackgroundOxaliplatin causes acute cold-induced neurotoxicity and chronic cumulative neuropathy, which can require dose modification and impacts quality of life. However, effective strategies for managing oxaliplatin-induced peripheral neuropathy (OIPN) among affected patients remain elusive.ObjectiveThis retrospective study aimed to identify predictors for the development of OIPN.MethodsParticipants comprised 322 cancer patients at our hospital who were receiving oxaliplatin between January 2017 and March 2021. For the regression analysis of factors associated with OIPN, variables were manually extracted from medical charts. The severity of OIPN was evaluated using the National Cancer Institute's Common Terminology Criteria for Adverse Events, version 5. Multivariate ordered logistic regression analysis was performed to identify predictors for the development of OIPN. Optimal cut-off thresholds were determined using receiver operating characteristic analysis. Values of P ResultsSignificant risk factors identified included higher body mass index (BMI) (odds ratio [OR] = 1.06, 95% confidence interval [CI] = 1.00-1.12; P = 0.043), female sex (OR = 1.67, 95%CI = 1.06-2.61; P = 0.026) and higher total dosage (OR = 2.39, 95%CI = 1.67-3.42; P = < 0.0001).ConclusionHigh BMI, female sex and high total dosage were identified as significant predictors for the development of OIPN.
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