Development and validation of a nomogram for predicting the occurrence of renal dysfunction after treatment of immune checkpoint inhibitor: a retrospective case–control study

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Abstract
Purpose The administration of immune checkpoint inhibitors (ICIs) may lead to renal adverse events, notably including renal dysfunction. To early predict the probability of renal dysfunction after ICIs therapy, a retrospective case–control study was conducted. Methods Clinical information on ICIs-treated patients was collected. Multivariable logistic regression was applied to identify risk factors for renal dysfunction after ICIs treatment. Moreover, a nomogram model was developed and validated internally. Results A total of 442 patients were included, among which 35 (7.9%) experienced renal dysfunction after ICIs treatment. Lower baseline estimated glomerular filtration rate (eGFR) (OR 0.941; 95% CI 0.917 to 0.966; pConclusions Lower baseline eGFR, platinum exposure, comorbidities of hypertension and infection were predictors of renal dysfunction in ICIs-treated patients with cancer. A nomogram was developed to predict the probability of renal dysfunction after ICIs treatment, which might be operable and valuable in clinical practice.
Funding Information
  • Guangzhou Science and Technology Program (202102010272)
  • National Natural Science Foundation of China (82003311)
  • Project of Traditional Chinese Medicine Bureau of Guangdong Province (20221075)
  • Guangzhou Science and Technology Program (202201010807)
  • Natural Science Foundation of Guangdong Province (2023A1515010304)
  • National Natural Science Foundation of China (82173232)
  • National Natural Science Foundation of China (81800595)

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