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. 2013 Dec 2;17(6):R280. doi: 10.1186/cc13135

Table 2.

Multivariate logistic regression model used to predict dengue shock syndrome and nonshock cases a

Predictors OR (95% CI) Adjusted OR (95% CI) P -value
Age
1.01 (0.95 to 1.08)
1.05 (0.98 to 1.13)
0.1756
Admission dayb,c
0.82 (0.69 to 0.99)
0.66 (0.52 to 0.83)
0.0041
Day of shock
0.91 (0.77 to 1.07)
0.91 (0.76 to 1.08)
0.3476
Petechia
1.13 (0.75 to 1.71)
0.78 (0.46 to 1.30)
0.3381
Purpura/ecchymosisc
2.17 (1.43 to 3.32)
1.78 (1.11 to 2.86)
0.017
GI bleeding
1.75 (0.99 to 3.09)
1.37 (0.73 to 2.58)
0.1290
Ascites/pleural effusionc
0.23 (0.14 to 0.42)
0.24 (0.13 to 0.43)
0.0001
PLT (×103/μl)c,d
0.99 (0.99 to 0.99)
0.99 (0.99 to 0.99)
0.0148
Pulse pressure (mmHg)c,d 0.96 (0.93 to 0.98) 0.96 (0.93 to 0.99) 0.0163

aCI, confidence interval; GI, gastrointestinal; OR, odds ratio; PLT, platelet. Dengue shock syndrome refers to dengue hemorrhagic fever, and nonshock cases refers to dengue fever.

bOR represents the decremental odds of recurrent shock for every unit decrease of one day in admission days. cVariables were selected for developing the clinical rules. dOR represents the incremental odds of recurrent shock for every unit increase of 1,000 platelets per microliter or every 1 mmHg increase in pulse pressure.