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Prediction Model Needs More Improvements Before Clinical Application
Clinical Infectious Diseases ( IF 9.055 ) Pub Date : 2019-05-29 , DOI: 10.1093/cid/ciz446
Chen H, Song Y, Liu K.

To the Editor—We read with interest the impressive study by Hong et al [1] that developed a new clinical prediction model of aminoglycoside (AG)-induced hearing loss among patients initiating drug-resistant tuberculosis (DR-TB) treatment. The results showed reasonable discrimination (area under curve [AUC] = 0.71) and calibration (χ2[8] = 6.10; P = .636) in the development cohort, and satisfied discrimination (AUC = 0.81) and calibration (χ2[8] = 6.48; P = .593) in the validation (ultrahigh-frequency hearing loss) cohort. According to these results, we agree that the authors built a simple model for the identification of patients with DR-TB who are at the highest risk of developing AG-induced ototoxicity. However, we think this model should be improved before its clinical application.
更新日期:2020-01-16

 

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