Figure 1.
Discrimination capability of the multivariate regression logistic model in the derivation and external validation cohorts. (A) Receiver-operating characteristic curve of the final 4-predictor model (LDH level, albumin level, WBC count, and disease status), the 2-predictor model (LDH level and albumin level), and the simplified LAWS score in the derivation cohort. The C-statistics were 0.862 (95% CI, 0.777-0.946), 0.801 (95% CI, 0.697-0.905), and 0.859 (95% CI, 0.776-0.945), respectively. (B) Receiver-operating characteristic curve of the simplified LAWS score in the external validation group. The C-statistic was 0.795 (95% CI, 0.645-0.945).

Discrimination capability of the multivariate regression logistic model in the derivation and external validation cohorts. (A) Receiver-operating characteristic curve of the final 4-predictor model (LDH level, albumin level, WBC count, and disease status), the 2-predictor model (LDH level and albumin level), and the simplified LAWS score in the derivation cohort. The C-statistics were 0.862 (95% CI, 0.777-0.946), 0.801 (95% CI, 0.697-0.905), and 0.859 (95% CI, 0.776-0.945), respectively. (B) Receiver-operating characteristic curve of the simplified LAWS score in the external validation group. The C-statistic was 0.795 (95% CI, 0.645-0.945).

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