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

by Yuko Kanbayashi, Takeshi Ishikawa, Yoshiaki Kuriu, Eigo Otsuji, Koichi Takayama

Background

Oxaliplatin 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.

Objective

This retrospective study aimed to identify predictors for the development of OIPN.

Methods

Participants 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 <0.05 (2-tailed) were considered significant.

Results

Significant 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).

Conclusion

High BMI, female sex and high total dosage were identified as significant predictors for the development of OIPN.