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Table 2 Multivariate cause-specific survival model: sensitivity analysis of predictors of secondary infection occurrence

From: Monitoring of circulating monocyte HLA-DR expression in a large cohort of intensive care patients: relation with secondary infections

Variable Cs-HR IC95% p
Log mHLA-DR1 0.90 [0.67; 1.19] 0.46
Low mHLA-DR 1 1.06 [0.72; 1.57] 0.77
Log mHLA-DR2 0.63 [0.48; 0.81] 0.00
Low mHLA-DR2 1.75 [1.21; 2.53] 0.00
Slope (%) 0.98 [0.97; 0.99] 0.00
Slope () 1.61 [1.13; 2.3] 0.01
Low mHLA-D1 and down slope 1.95 [1.17; 3.26] 0.01
Lymphopenia 1 1.62 [1.13; 2.32] 0.01
Lymphopenia 2 0.87 [0.58; 1.3] 0.51
Lymphopenia down 0.98 [0.69; 1.41] 0.93
Monocytopenia 1 0.94 [0.65; 1.34] 0.71
Monocytopenia 2 0.59 [0.41; 0.85] 0.00
Monocytopenia down 0.66 [0.47; 0.92] 0.02
  1. The cause-specific model is a common alternative to survival analysis for handling competing risks. This model allows a quantification of the cause-specific relative hazard, which is the association between the exposure and the outcome when the individuals with the competing event are censored
  2. The following covariates were used: comorbidities (without immunosuppression), immunosuppression, SOFA score and motif of admission
  3. The competing event was “discharged alive before 28 days” and the outcome was nosocomial infection