Bibliographic citations
Vargas, Y., (2024). Rendimiento de la prueba genexpert MTB/RIF ultra y la baciloscopía para el diagnóstico de tuberculosis. Centro de Salud Max Arias, 2022 [Universidad Privada Norbert Wiener]. https://hdl.handle.net/20.500.13053/12556
Vargas, Y., Rendimiento de la prueba genexpert MTB/RIF ultra y la baciloscopía para el diagnóstico de tuberculosis. Centro de Salud Max Arias, 2022 []. PE: Universidad Privada Norbert Wiener; 2024. https://hdl.handle.net/20.500.13053/12556
@misc{renati/1668385,
title = "Rendimiento de la prueba genexpert MTB/RIF ultra y la baciloscopía para el diagnóstico de tuberculosis. Centro de Salud Max Arias, 2022",
author = "Vargas Vallejos, Yhemer",
publisher = "Universidad Privada Norbert Wiener",
year = "2024"
}
The main objective of this study was to evaluate the diagnostic yield of the Genexpert MTB/RIF Ultra and bacilloscopy techniques in the diagnosis of tuberculosis. A non-experimental methodological design of a descriptive and cross-sectional nature was used. The sample included 230 patients treated at the Max Arias Health Center during 2022. selected according to specific inclusion and exclusion criteria. Data collection instruments and statistical tests were used. The data collection technique was observation by documentary analysis of laboratory records. The results showed that the performance of the Genexpert Ultra MTB/RIF technique had a sensitivity and specificity of 100%, with a positive predictive value (PPV) and a negative predictive value (NPV) of 100%, compared to the culture technique. In contrast, the smear technique presented a sensitivity of 68.5%, specificity of 98.9%, a PPV of 94.9%, and a NPV of 91.7%. Cohen's Kappa index was 0.75 for smear smear, and 1.0 for the Genexpert Ultra MTB/RIF. These results conclude that the Genexpert Ultra MTB/RIF technique is significantly more sensitive and specific than the smear technique, being a more useful tool for the detection of tuberculosis in patients, effectively identifying both sick and healthy patients. This research suggests good evidence for the implementation of the Genexpert Ultra MTB/RIF in practice for the diagnosis of tuberculosis in clinical settings.
This item is licensed under a Creative Commons License