Evaluation of multiplex PCR–Universal lateral flow assay for pulmonary tuberculosis diagnosis: Comparison with Xpert MTB/RIF

Background: Global initiatives to reduce the impact of pulmonary tuberculosis (TB) depend on effective laboratory methods for detecting Mycobacterium tuberculosis complex (MTBC) in patient. The Multiplex PCR combined with Universal Lateral Flow Assay (MPCR-ULFA) provides molecular-based diagnostic approach that replaces gel electrophoresis with a universal lateral flow assay. Objective: This study purposed to assess diagnostic accuracy of MPCR-ULFA in comparison to Xpert MTB/RIF for detecting TB in suspected pulmonary TB patients. Methods: We compared the performance of Xpert MTB/RIF and MPCR-ULFA in TB detection at a total of 217 sputum samples from Malang isolates. We evaluate the diagnostic accuracy parameters, such as sensitivity, specificity, likelihood ratio, positive and negative predictive value, accuracy, and Youden index. To measure the agreement between Xpert MTB/RIF and MPCR-ULFA we evaluate the Kappa index. Results: The study results showed that MPCR-ULFA had a sensitivity and specificity of 95.74% and 93.53%, respectively. The positives likelihood ratio (LR+) was 14.80 and LR- was 0.05. Positives predictive value (PPV) was 80.36%, and the negatives predictive value (NPV) was 98.80%. The test also demonstrated an accuracy of 93.54%, a Youden index of 0.89, and a Kappa index of 0.835. Conclussion: By detecting multiple target genes, specifically IS6110 and mtp40, MPCR-ULFA enhances MTBC detection in sputum samples and offers a more cost-effective technique.

Authors

Publication Details

Journal
Research Repository Universitas Islam Negeri Maulana Malik Ibrahim (University of Southampton)
Published
2025-09-04
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of multiplex PCR–Universal lateral flow assay for pulmonary tuberculosis diagnosis: Comparison with Xpert MTB/RIF

Putri Wulan Akbar, Agustin Iskandar
Research Repository Universitas Islam Negeri Maulana Malik Ibrahim (University of Southampton)
Tuberculosis Research and Epidemiology
article

Evaluation of multiplex PCR–Universal lateral flow assay for pulmonary tuberculosis diagnosis: Comparison with Xpert MTB/RIF

Putri Wulan Akbar, Agustin Iskandar
article en

Abstract

Background: Global initiatives to reduce the impact of pulmonary tuberculosis (TB) depend on effective laboratory methods for detecting Mycobacterium tuberculosis complex (MTBC) in patient. The Multiplex PCR combined with Universal Lateral Flow Assay (MPCR-ULFA) provides molecular-based diagnostic approach that replaces gel electrophoresis with a universal lateral flow assay. Objective: This study purposed to assess diagnostic accuracy of MPCR-ULFA in comparison to Xpert MTB/RIF for detecting TB in suspected pulmonary TB patients. Methods: We compared the performance of Xpert MTB/RIF and MPCR-ULFA in TB detection at a total of 217 sputum samples from Malang isolates. We evaluate the diagnostic accuracy parameters, such as sensitivity, specificity, likelihood ratio, positive and negative predictive value, accuracy, and Youden index. To measure the agreement between Xpert MTB/RIF and MPCR-ULFA we evaluate the Kappa index. Results: The study results showed that MPCR-ULFA had a sensitivity and specificity of 95.74% and 93.53%, respectively. The positives likelihood ratio (LR+) was 14.80 and LR- was 0.05. Positives predictive value (PPV) was 80.36%, and the negatives predictive value (NPV) was 98.80%. The test also demonstrated an accuracy of 93.54%, a Youden index of 0.89, and a Kappa index of 0.835. Conclussion: By detecting multiple target genes, specifically IS6110 and mtp40, MPCR-ULFA enhances MTBC detection in sputum samples and offers a more cost-effective technique.

Research Repository Universitas Islam Negeri Maulana Malik Ibrahim (University of Southampton)
Openalex Percentile: Top 27%
Tuberculosis Research and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.