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. 2022 Mar 8;12(1):e12036. doi: 10.1002/pul2.12036

Table 3.

Logistic regression analyses: predictive modeling for pulmonary embolism, using D‐dimer threshold of 2 mg/L

Model 1 Model 2 Model 3 Model 4
Predictor Crude OR [95% CI] P value Adj ORa [95% CI] P value Adj ORa [95% CI] P value Adj ORa [95% CI] P value
Positive D‐dimer (>2 mg/L) 2.71 [1.11, 6.61] 0.028* 2.85 [1.16, 7.01] 0.023* 2.81 [1.14, 6.92] 0.025* 3.03 [1.21, 7.59] 0.018*
Age (years) 0.99 [0.97, 1.02] 0.72 0.99 [0.97, 1.02] 0.68 1.00 [0.97, 1.03] 0.87
Female 0.58 [0.24, 1.42] 0.23 0.55 [0.23, 1.37] 0.20 0.56 [0.23, 1.40] 0.22
Black 1.09 [0.46, 2.60] 0.85 1.07 [0.45, 2.57] 0.88 1.03 [0.43, 2.49] 0.94
BMI (kg/m2) 1.00 [0.94, 1.05] 0.89 0.99 [0.94, 1.05] 0.84 1.00 [0.94, 1.06] 0.96
RV Dysfunction on TTE 1.72 [0.59, 5.05] 0.33
Troponin (ng/mL) 0.0042 [10−6, 10.35] 0.17
AUC 0.62 0.66 0.68 0.71
Hosmer–Lemeshow GOF P value n/ab 0.98 0.94 0.45
Cross validated AUC 0.60 0.52 0.56 0.59
AIC 162 168 169 164

Abbreviations: Adj, adjusted; AIC, akaike information criterion; AUC, area under receiver operating curve; BMI, body mass index; CI, confidence interval; GOF, goodness‐of‐fit; OR, odds ratio; RV, right ventricular; TTE, transthoracic echocardiogram.

a

Adjusted for variables in the respective models.

b

Could not calculate due to limited outcome variability.

*

p < 0.05.