KSTH and JMHW criteria may better predict mortality in patients with than other criteria.
KSTH and JMHW criteria showed stronger performance in predicting ICU mortality compared to ISTH, JAAM, and R-JAAM.
Odds ratios for KSTH and JMHW were 3.828 and 5.181, respectively, indicating significant predictive ability.
Survival analysis indicated KSTH and JMHW criteria had a notable impact on predicting 28-day mortality.
Results were based on data from 100 ICU patients with severe sepsis or .
DIC is a serious condition in these patients.
Simplified
(DIC) is a major complication in sepsis patients. We compared the performance of five DIC diagnostic criteria, focusing on the prediction of mortality. One hundred patients with or admitted to intensive care unit (ICU) were enrolled. Routine DIC laboratory tests were performed over the first 4 days after admission. The overall ICU and 28-day mortality in DIC patients diagnosed from five criteria (International Society on Thrombosis and Haemostasis [ISTH], the Japanese Association for Acute Medicine [JAAM], the revised JAAM [R-JAAM], the Japanese Ministry of Health and Welfare [JMHW] and the Korean Society on Thrombosis and Hemostasis [KSTH]) were compared. Both KSTH and JMHW criteria showed superior performance than ISTH, JAAM and R-JAAM criteria in the prediction of overall ICU mortality in DIC patients (odds ratio 3.828 and 5.181, P = 0.018 and 0.006, 95% confidence interval 1.256-11.667 and 1.622-16.554, respectively) when applied at day 1 after admission, and survival analysis demonstrated significant prognostic impact of KSTH and JMHW criteria on the prediction of 28-day mortality (P = 0.007 and 0.049, respectively) when applied at day 1 after admission. In conclusion, both KSTH and JMHW criteria would be more useful than other three criteria in predicting prognosis in DIC patients with severe sepsis or septic shock.
Key numbers
3.828
Increase in ICU Mortality Prediction
Odds ratio for criteria applied at Day 1
5.181
Increase in ICU Mortality Prediction
Odds ratio for criteria applied at Day 1
74 of 100
Number of Patients Diagnosed as
Total patients diagnosed as using criteria
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