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. 2018 Dec 4;18:381. doi: 10.1186/s12887-018-1345-y

Table 2.

Logistics regression analysis for the factors associated with the prognosis of pneumonia

OR 95% CI P value
Rate of sepsis: Yes (45, 16.1%), No (235, 83.9%)
 Age (continuous variable) 1.21 0.85,1.54 0.652
 Previous pneumonia(binary variable) 0.92 0.85,1.24 0.096
 Decreased extent of YKL-40 (classified variable) 2.84 2.16,3.65 0.008
 Infectious type (unordered variable) 1.23 0.97,1.48 0.078
 Procalcitonin (continuous variable) 1.12 1.03,1.22 0.044
Mechanical ventilation rate: Yes (31, 11.1%), No (249, 88.9%)
 Age (continuous variable) 1.235 1.156,1.366 0.023
 Previous pneumonia (binary variable) 2.02 1.68,2.26 0.034
 Decreased extent of YKL-40 (classified variable) 1.69 1.26,2.08 0.012
 Infectious type (unordered variable) 1.63 1.21,2.27 0.028
 Procalcitonin (continuous variable) 1.021 0.916,1.148 0.189
Intensive Care Unit admission rate: Yes (36, 12.9%), No (244, 87.1%)
 Age (continuous variable) 1.23 1.12,1.51 0.041
 Previous pneumonia (binary variable) 1.21 0.93,1.87 0.267
 Decreased extent of YKL-40 (classified variable) 3.21 2.68,4.79 0.016
 Infectious type (unordered variable) 1.35 1.21,1.45 0.030
 Procalcitonin (continuous variable) 1.09 0.91,1.17 0.526

Data are presented as hazard ratios, representing the relative risk of adverse therapeutic events and poor prognosis. The independent risk factors of mechanical ventilation including the age, infectious type, infections history in the previous and decreased extent of YKL-40. The age, infectious type, decreased extent of YKL-40 not associated with the increased rate of mechanical ventilation but also considered as the independent risk factors of ICU admission