| Literature DB >> 23227329 |
Duc T M Nguyen1, Hung Q Nguyen, R Palmer Beasley, Charles E Ford, Lu-Yu Hwang, Edward A Graviss.
Abstract
Background. Tuberculosis (TB) disease diagnosis in Vietnam relies on symptom screening, chest radiography (CXR), and acid fast bacilli (AFB) sputum smear which have a poor sensitivity in HIV patients. We evaluated the performance of clinical algorithms in screening and diagnosing AFB smear-negative TB in HIV patients. Methods. We enrolled 399 HIV-positive patients seeking care at a HIV clinic in Ho Chi Minh City (HCMC), Vietnam. Participants' demographics, medical history, common TB symptoms, CXR, and laboratory tests were collected. Results. Of 399 HIV patients, 390 had initial AFB-negative smears and 22/390 patients had positive cultures. Symptom screening missed 54% (12/22) of smear-negative pulmonary TB (PTB) cases. Multivariate analysis found CD4+ cell level and CXR were significant PTB predictors. An algorithm combining four TB symptoms and TST presented a high sensitivity (100%), but poorly specific (24%) diagnostic performance for smear-negative PTB. Conclusion. Up to 54% of PTB cases in the HIV-infected population may be missed in the routine screening and diagnostic procedures used in Vietnam. Symptom screening was a poor overall diagnostic measure in detecting smear-negative TB in HIV patients. Our study results suggest that routine sputum cultures should be implemented to achieve a more accurate diagnosis of TB in HIV patients.Entities:
Year: 2012 PMID: 23227329 PMCID: PMC3512270 DOI: 10.1155/2012/360852
Source DB: PubMed Journal: Tuberc Res Treat ISSN: 2090-150X
Figure 1Patient enrollment flow chart. AFB-positive: having at least one AFB-positive sputum smear. AFB-negative: having both AFB-negative sputum smears.
Potential predictors for pulmonary tuberculosis in 390 HIV-infected persons having sputum smears negative for acid fast bacilli.
| Characteristics | All patients | PTB | No PTB | Unadjusted OR | Adjusted ORa |
|---|---|---|---|---|---|
| ( | ( | ( | (95% CI) | (95% CI) | |
| Men | 277 (71.0) | 20 (90.9) | 257 (69.8) | 4.32 (0.99, 18.79) | 6.82 (0.65, 72.24) |
| Median age, years (IQR) | 30 (27–34) | 31 (28–34) | 30 (27–34) | 0.98 (0.91, 1.06) | 0.95 (0.86, 1.04) |
| Median household, person (IQR) | 6 (4–7) | 6 (5–8) | 6 (4–7) | 1.06 (0.94, 1.18) | 1.08 (0.95, 1.23) |
| Incarcerated history | 63 (16.2) | 6 (27.3) | 57 (15.5) | 2.05 (0.76, 5.45) | 0.91 (0.29, 2.90) |
| Smoker | 308 (79.0) | 20 (90.9) | 288 (78.3) | 2.78 (0.64, 12.14) | 0.40 (0.03, 4.67) |
| Alcoholism | 168 (43.1) | 9 (40.9) | 159 (43.2) | 0.91 (0.38, 2.18) | 0.78 (0.28, 2.18) |
| Intravenous drug users | 248 (63.6) | 17 (77.3) | 231 (62.8) | 2.02 (0.73, 5.59) | 1.24 (0.32, 4.80) |
| TB treatment history | 173 (44.4) | 10 (45.5) | 163 (44.3) | 1.05 (0.44, 2.49) | 0.89 (0.27, 2.92) |
| Receiving ART | 225 (57.7) | 11 (50.0) | 214 (58.2) | 0.72 (0.30, 1.70) | 0.58 (0.18, 1.83) |
| Cough | 101 (25.9) | 6 (27.3) | 95 (25.8) | 1.08 (0.41, 2.83) | 0.59 (0.16, 2.20) |
| Fever | 24 (6.2) | 4 (18.9) | 20 (5.4) |
| 3.33 (0.71, 15.66) |
| Weight loss | 78 (20.0) | 6 (27.3) | 72 (19.6) | 1.54 (0.58, 4.08) | 1.61 (0.40, 6.44) |
| Sweats | 11 (2.8) | 1 (4.6) | 10 (2.7) | 1.71 (0.21, 13.95) | 0.57 (0.04, 7.62) |
| Loss of appetite | 38 (9.7) | 4 (18.2) | 34 (9.2) | 2.18 (0.70, 6.82) | 2.14 (0.47, 9.67) |
| Chills | 34 (8.7) | 5 (22.7) | 29 (7.9) |
| 1.84 (0.41, 8.19) |
| Fatigue | 61 (15.6) | 6 (27.3) | 55 (14.9) | 2.13 (0.80, 5.69) | 0.74 (0.18, 3.05) |
| Positive TST | 220 (56.4) | 16 (72.7) | 204 (55.4) | 2.14 (0.82, 5.60) | 2.36 (0.76, 7.33) |
| CD4+ cell/ | 84 (21.5) | 10 (45.5) | 74 (20.1) |
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| TB-CXR | 122 (31.3) | 14 (63.6) | 108 (29.4) |
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aAdjusted in the multivariate model.
TB-CXR: abnormal radiograph suggestive of tuberculosis.
PTB: pulmonary tuberculosis due to Mycobacterium tuberculosis.
OR: odds ratio.
CI: confidence interval.
IQR: interquartile range.
*P value < 0.05.
**P value < 0.01.
Performance of different algorithms in screening TB for 390 HIV-infected patients having sputum smear negative to AFB.
| Combination of predictors | Sensitivity | Specificity | PPV | NPV | LR+ | LR− | Area under ROC curve* |
|---|---|---|---|---|---|---|---|
| Combination of three clinical predictors | |||||||
| Cough or fever or night sweats | 8/22 (36) | 266/368 (72) | 8/102 (7) | 266/280 (95) | 1.31 | 0.88 | 0.54 |
| Cough or night sweat or weight loss | 9/22 (41) | 236/368 (64) | 9/141 (6) | 236/249 (95) | 1.14 | 0.92 | 0.52 |
| Fever or night sweats or weight loss | 8/22 (36) | 285/368 (78) | 8/91 (9) | 285/299 (95) | 1.61 | 0.82 | 0.57 |
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| Combination of four clinical predictors | |||||||
| Cough or fever or night sweats or weight loss | 10/22 (46) | 235/368 (64) | 10/143 (7) | 235/247 (95) | 1.25 | 0.85 | 0.55 |
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| Combination of four clinical predictors and TST | |||||||
| Symptoms or TST | 22/22 (100) | 89/368 (24) | 22/301 (7) | 89/89 (100) | 1.32 | 0 | 0.62 |
*ROC curve: receiver operating characteristic curve.
PPV: positive predictive value. NPV: negative predictive value.
LR+: positive likelihood ratio, calculated by sensitivity ÷ (1 − specificity).
LR−: negative likelihood ratio calculated by (1 − sensitivity) ÷ specificity [18].
Sensitivity, specificity, PPV, and NPV are reported as proportion (%).
CXR: chest radiography.
Cough: lasting ≥2 weeks in the past 4 weeks.
Fever: lasting ≥2 weeks in the past 4 weeks.
Night sweats: lasting ≥2 weeks in the past 4 weeks.
Weight loss: lasting ≥2 weeks in the past 4 weeks.