| dc.description |
The current screening tools for tuberculosis (TB) are inadequate resulting in insufficient TB
case detection and continued community transmission of TB. As the world is geared into
finding missing TB cases, new strategies are called for to aid in rapid identification of TB cases.
This study aimed to evaluate the role C-reactive protein (CRP) in triaging patients to get a
confirmatory test for active PTB diagnosis in urban Tanzania. A case-control study was
conducted among PTB (PTB) patients and contacts without active PTB. The diagnosis of PTB
was performed using GeneXpert MTB/RIF assay and culture. Blood was collected from cases
and controls for measuring CRP levels during recruitment. We compared socio-demographic
characteristics, clinical and laboratory parameters obtained during recruitment and performed
diagnostic accuracy analyses for CRP. Out of all 193 study participants who were involved in
final analysis, 147 (76.2%) were males. PTB cases had significantly lower median body mass
index (BMI) than controls (median 17.4 kg/m2
[IQR: 15.8-19.2 kg/m2
] vs., 24.9 kg/m2
[IQR:
22.1-28.5 kg/m2
), p < 0.001). There was no statistical difference in prevalence of human
immunodeficiency virus (HIV) between PTB cases and controls i.e., 13.33% vs., 11.7%, p =
0.48. CRP was significantly higher in PTB cases vs., controls (median 67.8 mg/L, [IQR: 36.5-
116.9 mg/L] vs., 1.55 mg/L, [IQR: 0.59-6.0mg/L], p = 0.003). Furthermore, CRP at cut-off ≥
10 mg/L was associated with adequate combination of sensitivity, specificity and area under
the curve (AUC) of 89.9%, 95% CI: 82.2-95.0, 80.9%, 95% CI: 71.4-88.2 and 0.85, 95%CI:
0.80-0.90 respectively. A multivariate logistic regression model adjusted for fever, night sweats
and body mass index showed that CRP above 10 mg/L was significantly associated with PTB,
adjusted odds ratio (aOR) 5.2, 95% CI 1.2-22.8. C-reactive protein at cut-off ≥ 10 mg/L can be
used to screen PTB. These findings can be utilized to improve TB screening algorithm by
incorporating CRP in combination with TB symptoms to identify patients who need further
confirmatory TB tests. However, additional prospective studies are required to support our
findings and contribute into policy recommendations on use of CRP in a screening algorithm
for PTB. |
|