Table1.
Baseline characteristics and potential independent risk factors for mortality of SFTS.
Table 2.
Characteristics and outcomes of participants categorized by serum APTT on admission.
Fig 1.
Kaplan-Meier survival analysis curves according to the APTT levels between four groups.
Further analysis was performed to evaluate the risk stratification value of APTT measured upon admission and at peak of hospitalization for 28-day mortality across various subgroups. These subgroups included age, gender, neurological symptoms, hemorrhagic signs, hypertension and diabetes (S2 Fig). Subgroup forest plot analysis revealed that the predictive power of APTT was not influenced by age, gender, comorbidity and complications, demonstrating its robust predictive ability.
Fig 2.
Restricted cubic spline models depicting the relationship between APTT and mortality risk in SFTS.
A, APTT upon admission; B, APTT peak value of hospitalization. The relative frequency of APTT is represnted by the blue bars. The 95% CI of the adjusted odds ratio (OR) is represented by the red-shaded areas. Abbreviations: CI, confidence interval; OR, odds ratios;.
Fig 3.
Kinetics of coagulation parameters between the survivors and non-survivors during hospitalization.
All parameters were analyzed at different time intervals for the entire hospital stay. The black solid line represents median of reference parameters, The ULN of reference parameters were depicted with a black dotted line. Three asterisk (***) indicates p < 0.001, two asterisks (**) indicate p < 0.01, one asterisks (*) indicate p < 0.05.
Fig 4.
Dynamic profile of coagulation parameters between survivors and non-survivors in patients with SFTS.
Table 3.
Multivariate logistic regression analysis on the risk factors associated with prolonged APTT.