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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