| Literature DB >> 31525214 |
Mengistu Fantahun1,2, Abebaw Kebede3, Bazezew Yenew3, Tufa Gemechu4, Yeshiwondm Mamuye2, Mengistu Tadesse3, Bereket Brhane1, Aisha Jibriel1, Dawit Solomon1, Zelalem Yaregal3.
Abstract
BACKGROUND: Tuberculous lymphadenitis (TBLN) diagnosis remains a challenge in resource limited countries like Ethiopia. Most diagnostic centers in Ethiopia use smear microscopy, but it has low sensitivity in detecting tubercle bacilli in fine needle aspiration (FNA) specimens. FNA cytology (FNAC) is another widely applicable diagnostic option but it has low specificity for diagnosing TBLN. In 2014, WHO recommended Xpert MTB/RIF assay to be used in detecting TB from FNA specimen by considering the diagnostic limitations of microscopy and cytology. In Ethiopia, there is limited data on Xpert MTB/RIF performance in detecting TBLN from FNA. Therefore, this study aimed to evaluate the diagnostic performance of Xpert MTB/RIF assay and non-molecular methods (cytology, microscopy and culture) for the diagnosis of TBLN.Entities:
Year: 2019 PMID: 31525214 PMCID: PMC6746348 DOI: 10.1371/journal.pone.0222402
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Demographic and clinical characteristics of presumptive TBLN patients.
| Socio-demographics | Categories | n(%) |
|---|---|---|
| Sex | Male | 67(44.1) |
| Female | 85(55.9) | |
| Age (Years) | 0–14 | 18(11.8) |
| 15–24 | 44(28.9) | |
| 25–34 | 41(27.0) | |
| 35–44 | 24(15.8) | |
| 45–54 | 14(9.2) | |
| >54 | 11(7.2) | |
| Educational status | Illiterate | 42(27.6) |
| Primary school | 77(50.7) | |
| Secondary school | 25(16.4) | |
| Higher education | 8(5.3) | |
| Occupation | Housewife | 13(8.6) |
| Daily laborer | 47(30.9) | |
| Government employee | 12(7.9) | |
| Unemployed | 38(25.0) | |
| Farmer | 36(23.7) | |
| Prisoner | 2(1.3) | |
| Other | 4(2.6) | |
| Residency | Urban | 84(55.3) |
| Rural | 68(44.7) | |
| Marital status | Living with a partner | 14(9.2) |
| Married | 63 (41.4) | |
| Divorced | 6 (3.9) | |
| Single | 63 (41.4) | |
| Widowed | 4 (2.6) | |
| Separated | 2 (1.3) | |
| Aspirate types | Hemorrhagic | 60 (39.5) |
| Pus | 50 (32.9) | |
| Caseous | 42 (27.6) | |
| Previous TB treatment | New | 127 (83.5) |
| Previously treated | 25(16.5) | |
| Diabetes | Yes | 16 (10.5) |
| No | 136 (89.5) |
TBLN positivity by different diagnostic methods (N = 152).
| Methods | Positive | Negative |
|---|---|---|
| Cytology, n (%) | 103(67.8%) | 49(32.2%) |
| Xpert MTB/RIF assay, n (%) | 75(49.3%) | 77(50.7%) |
| Composite culture, n (%) | 68(44.7%) | 84(55.3%) |
| FM, n (%) | 37(24.3%) | 115(75.7%) |
| ZN, n (%) | 22(14.5%) | 130(85.5%) |
Performance of Xpert MTB/RIF and non-molecular methods against composite culture for the diagnosis of presumptive TBLN patients.
| Laboratory methods | Sensitivity (95%CI) | Specificity (95%CI) | PPV (95%CI) | NPV (95%CI) |
|---|---|---|---|---|
| Cytology | 94.1%(91.5–96.5) | 53.6%(48.4–58.8) | 62.1%(57.1–67.1) | 91.8%(89–94.6) |
| Xpert MTB/RIF | 78%(73.7–82.3) | 74%(69.4–78.6) | 71%(66.3–75.7) | 81%(76.9–85.1) |
| ZN | 30.9%(26–35.7) | 98.8%(97.8–99.8) | 95.5%(93.5–97.5) | 63.8%(58.8–68.8) |
| FM | 47%(941.8–52.2) | 94%(91.5–96.5) | 86.5%(83–90) | 68.7%(63.9–73.5) |
Performance of Xpert MTB/RIF against composite method for the diagnosis of presumptive TBLN patients.
| Operational characteristics | Xpert MTB/RIF |
|---|---|
| Sensitivity (95%) | 92% (91.8–92.5) |
| Specificity (95%) | 98.7% (95.6–98.2) |
| PPV (95%) | 96.9% (94.1–96.3) |
| NPV (95%) | 89.6% (82.9–88.1) |
Detection of TBLN in association with aspirate types using Xpert MTB/RIF and non-molecular assays.
| Laboratory methods | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Xpert M | Cytology | Culture | FM | ZN | Total | ||||||
| Types of aspirate | Pos (%) | Neg | Pos | Neg | Pos | Neg | Pos | Neg | Pos | Neg | |
| Hemorrhagic | 12(20) | 48(80)) | 23(38.3) | 37(61.7) | 9(15) | 47(85) | 2(3.3) | 58(96.7) | 1(1.7) | 59(98.3) | 60 |
| Purulent | 35(70) | 15(30) | 40(80) | 10(20) | 29(58) | 21(42) | 20(40) | 30(60) | 13(26) | 37(74) | 50 |
| Caseous | 28(66.7) | 14(33.3) | 40(95.2) | 2(4.8) | 30(71.4) | 12(28.6) | 15(35.7) | 27(64.3) | 8(19) | 34(81) | 42 |
*Pos = positive, *Neg = negative