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. 2023 Jun 15;15(6):e40484. doi: 10.7759/cureus.40484

Table 3. Analysis via simple logistic regression and multiple logistic regression to determine the predictive factors of the yield of computed tomographic pulmonary angiogram.

Nil: not available, OR: odd ratio, b: regression coefficient, aForward LR multiple logistic regression was applied.

Multicollinearity and interaction were checked and not found.

Hosmer-Lemeshow test, (p-value = 0.486), Pearson chi-square test, (p-value =0.325), classification tale (overall correctly classified percentage = 75.8%), and area under the ROC curve (70.9%) were applied to check the model fit.

Variables Simple logistic regression Multiple logistic regression
b Crude OR (95% CI) p-value b Adjusted OR (95% CI) p-value
Age −0.003 0.997 (0.982, 1.012) 0.680      
Gender
   Female (ref) 0 1.00   0 1.00  
   Male 0.723 2.060 (1.259, 3.371) 0.004 0.804 2.235 (1.328, 3.760) 0.002
Ethnicity
   Malay (ref) 0 1.00        
   Chinese 0.535 1.707 (0.683, 4.263) 0.252      
   Indian −20.183 Nil (Nil, Nil) >0.950      
   Others −0.926 0.396 (0.048, 3.269) 0.390      
Discipline
   Medical (ref) 0 1.00        
   Surgical 0.896 2.449 (1.185, 5.060) 0.016      
   O&G 0.608 1.837 (0.775, 4.355) 0.167      
   Ortho 0.490 1.633 (0.538, 4.952) 0.386      
   Others −20.019 0 (0, Nil) >0.950      
Pregnancy
   No (ref) 0 1.00        
   Yes 0.082 1.085 (0.438, 2.688) 0.860      
Trauma
   No (ref) 0 1.00        
   Yes 1.087 2.964 (1.139, 7.714) 0.026      
Malignancy
   No (ref) 0 1.00        
   Yes 0.661 1.937 (0.983, 3.816) 0.056      
Covid
   No (ref) 0 1.00   0 1.00  
   Yes −0.743 0.475 (0.281, 0.805) 0.006 −1.260 0.284 (0.160, 0.503) <0.001
Non-covid pneumonia
   No (ref) 0 1.00   0 1.00  
   Yes −0.999 0.368 (0.194, 0.700) 0.002 −1.652 0.192 (0.096, 0.384) <0.001