Barely Significant
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Investigation of the relationship between coagulation parameters and mortality in COVID-19 infection.

Blood Sci · 2024 · PMC11062700 · PMID 38694496

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highly significantno p-value reported
In another model, in which age, respiratory rate, SpO 2 , GCS data were included in addition to d-dimer, fibrinogen, aPTT, and platelet parameters, the mortality detection rate was 77.7% and the overall classification rate was 94.0%, which was a highly significant modeling method in terms of mortality prediction.

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