Table 2.

Stratified Cox Proportional Hazards Regression Model Estimating Glucuronoxylomannan-Immunoglobulin G as a Predictor of Mortality by 6 Months Following Enrollment

OutcomeCrAg-Negative (n = 130)CrAg-Positive (n = 67)
HR (95% CI)P ValueHR (95% CI)P Value
Death, no. (%)11 (8.5)17 (25.4)
Model 1, unadjusted1.03 (.58–1.80).93.55 (.36–.84).006
Model 2, adjusted CD4 count1.04 (.59–1.82).90.56 (.36–.86).009
Model 3, adjusted CD4 count and tuberculosis1.03 (.60–1.76).92.50 (.33–.77).002
OutcomeCrAg-Negative (n = 130)CrAg-Positive (n = 67)
HR (95% CI)P ValueHR (95% CI)P Value
Death, no. (%)11 (8.5)17 (25.4)
Model 1, unadjusted1.03 (.58–1.80).93.55 (.36–.84).006
Model 2, adjusted CD4 count1.04 (.59–1.82).90.56 (.36–.86).009
Model 3, adjusted CD4 count and tuberculosis1.03 (.60–1.76).92.50 (.33–.77).002

Glucuronoxylomannan-immunoglobulin G was log-transformed and used as a continuous variable. P values <.05 are bolded.

Abbreviations: CI, confidence interval; CrAg, cryptococcal antigen; HR, hazard ratio.

Table 2.

Stratified Cox Proportional Hazards Regression Model Estimating Glucuronoxylomannan-Immunoglobulin G as a Predictor of Mortality by 6 Months Following Enrollment

OutcomeCrAg-Negative (n = 130)CrAg-Positive (n = 67)
HR (95% CI)P ValueHR (95% CI)P Value
Death, no. (%)11 (8.5)17 (25.4)
Model 1, unadjusted1.03 (.58–1.80).93.55 (.36–.84).006
Model 2, adjusted CD4 count1.04 (.59–1.82).90.56 (.36–.86).009
Model 3, adjusted CD4 count and tuberculosis1.03 (.60–1.76).92.50 (.33–.77).002
OutcomeCrAg-Negative (n = 130)CrAg-Positive (n = 67)
HR (95% CI)P ValueHR (95% CI)P Value
Death, no. (%)11 (8.5)17 (25.4)
Model 1, unadjusted1.03 (.58–1.80).93.55 (.36–.84).006
Model 2, adjusted CD4 count1.04 (.59–1.82).90.56 (.36–.86).009
Model 3, adjusted CD4 count and tuberculosis1.03 (.60–1.76).92.50 (.33–.77).002

Glucuronoxylomannan-immunoglobulin G was log-transformed and used as a continuous variable. P values <.05 are bolded.

Abbreviations: CI, confidence interval; CrAg, cryptococcal antigen; HR, hazard ratio.

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