CORRELATION BETWEEN LIVER TRANSAMINASE ENZYME AND LEUKOCYTE COUNT IN TUBERCULOSIS PATIENTS WHO RECEIVED ANTI-TUBERCULOSIS DRUG THERAPY

Background: While effective in treating the disease, anti-tuberculosis drugs can also potentially harm the liver. Monitoring liver health using the transaminase enzyme and leukocyte counts can help in the early detection and prevention of such damage in tuberculosis patients. Objectives: The aim of the study was to determine the correlation between transaminase enzyme levels and the leukocyte count in patients with tuberculosis who took anti-tuberculosis drugs. Methods: This research was an observational analytical study with a cross-sectional approach. It used medical record data from TB patients who met the inclusion and exclusion criteria for anti-tuberculosis drug therapy at the medical records installation. Results: Forty-four samples were included in the research. The levels of aspartate transaminase (AST), alanine transaminase (ALT), and leukocyte count were 30 IU/L, 19.5 IU/L, and 9.35x103/µL. The Spearman correlation test showed no correlation between AST and ALT levels and leukocyte counts, with p-values of 0.585 and 0.337. Conclusion: There was no correlation between AST and ALT levels and leukocyte counts in tuberculosis patients undergoing anti-tuberculosis drug therapy.

Authors

Institutions

Publication Details

Journal
Jurnal Kedokteran Diponegoro (Diponegoro Medical Journal)
Published
2025-03-07
DOI
https://doi.org/10.14710/dmj.v14i3.46561
Primary Topic
Pharmacological Effects of Natural Compounds
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CORRELATION BETWEEN LIVER TRANSAMINASE ENZYME AND LEUKOCYTE COUNT IN TUBERCULOSIS PATIENTS WHO RECEIVED ANTI-TUBERCULOSIS DRUG THERAPY

Meita Hendrianingtyas, Dwi Retnoningrum, Edward Kurnia Setiawan Limijadi, Kayla Navazia Marlie
Jurnal Kedokteran Diponegoro (Diponegoro Medical Journal)
Pharmacological Effects of Natural Compounds
article

CORRELATION BETWEEN LIVER TRANSAMINASE ENZYME AND LEUKOCYTE COUNT IN TUBERCULOSIS PATIENTS WHO RECEIVED ANTI-TUBERCULOSIS DRUG THERAPY

Meita Hendrianingtyas, Dwi Retnoningrum, Edward Kurnia Setiawan Limijadi, Kayla Navazia Marlie
article en

Abstract

Background: While effective in treating the disease, anti-tuberculosis drugs can also potentially harm the liver. Monitoring liver health using the transaminase enzyme and leukocyte counts can help in the early detection and prevention of such damage in tuberculosis patients. Objectives: The aim of the study was to determine the correlation between transaminase enzyme levels and the leukocyte count in patients with tuberculosis who took anti-tuberculosis drugs. Methods: This research was an observational analytical study with a cross-sectional approach. It used medical record data from TB patients who met the inclusion and exclusion criteria for anti-tuberculosis drug therapy at the medical records installation. Results: Forty-four samples were included in the research. The levels of aspartate transaminase (AST), alanine transaminase (ALT), and leukocyte count were 30 IU/L, 19.5 IU/L, and 9.35x103/µL. The Spearman correlation test showed no correlation between AST and ALT levels and leukocyte counts, with p-values of 0.585 and 0.337. Conclusion: There was no correlation between AST and ALT levels and leukocyte counts in tuberculosis patients undergoing anti-tuberculosis drug therapy.

Jurnal Kedokteran Diponegoro (Diponegoro Medical Journal)Vol. 14(3)
Diponegoro University (ID)
Openalex Percentile: Top 87%
Pharmacological Effects of Natural Compounds
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.