Research Article
Body Mass Index, Haemoglobin, and Total Lymphocyte Count as a Surrogate for CD4 Count in Resource Limited Settings
Table 3
Predictive performance of hemoglobin, BMI, and total lymphocyte count in predicting CD4 counts < 200 mm−3.
| | Parameter | Cut-off | Sensitivity | Specificity | PPV | NPV | AUC |
| | Total | | Hb | 12.15 | 73.9% | 56.8% | 67.4% | 21.2% | 0.688 | | BMI | 20.65 | 69.6% | 80.1% | 71.7% | 51.4% | 0.780 | | Total lymphocyte count | 1200 | 100% | 100% | 91.3% | 87.6% | 1.000 |
| | HAART | | Hb | 12.15 | 70% | 63.8% | 52.6% | 28.7 | 0.679 | | BMI | 20.35 | 60% | 77.8% | 50% | 56.4% | 0.787 | | Total lymphocyte count | 1219 | 90% | 100% | 100% | 81.9% | 1.000 |
| | HAART naïve | | Hb | 10.35 | 41.7% | 90.4% | 36.1% | 73.1 | 0.658 | | BMI | 22 | 77.7% | 78.8% | 72.2% | 80.8% | 0.817 | | Total lymphocyte count | 1200 | 100% | 100% | 91.7% | 100% | 1.000 |
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