2021
DOI: 10.1016/j.jped.2020.07.008
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Performance of prognostic markers in pediatric sepsis

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Cited by 14 publications
(26 citation statements)
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“…Overall, the researchers found that the PIM2 score had the best discriminatory power for mortality (area under the curve [AUC] 0.815; 95% CI 0.766–0.858), better than any single biomarker (ferritin AUC 0.785, 95% CI 0.733–0.830; lactate AUC 0.762, 95% CI 0.709–0.810; and CRP AUC 0.648, 95% CI 0.590–0.702). 4 Leukocyte count stood out as the sole biomarker with poor discriminatory power; it was as good at predicting mortality as a coin toss (AUC 0.508; 95% CI 0.450–0.567). 4 It is not surprising that leukocyte count was uninformative when discriminating between septic patients given that SIRS criteria, which includes a criterion for abnormal leukocyte count, was used to diagnose sepsis.…”
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confidence: 98%
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“…Overall, the researchers found that the PIM2 score had the best discriminatory power for mortality (area under the curve [AUC] 0.815; 95% CI 0.766–0.858), better than any single biomarker (ferritin AUC 0.785, 95% CI 0.733–0.830; lactate AUC 0.762, 95% CI 0.709–0.810; and CRP AUC 0.648, 95% CI 0.590–0.702). 4 Leukocyte count stood out as the sole biomarker with poor discriminatory power; it was as good at predicting mortality as a coin toss (AUC 0.508; 95% CI 0.450–0.567). 4 It is not surprising that leukocyte count was uninformative when discriminating between septic patients given that SIRS criteria, which includes a criterion for abnormal leukocyte count, was used to diagnose sepsis.…”
mentioning
confidence: 98%
“… 4 Leukocyte count stood out as the sole biomarker with poor discriminatory power; it was as good at predicting mortality as a coin toss (AUC 0.508; 95% CI 0.450–0.567). 4 It is not surprising that leukocyte count was uninformative when discriminating between septic patients given that SIRS criteria, which includes a criterion for abnormal leukocyte count, was used to diagnose sepsis. 6 …”
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confidence: 98%
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