Baseline Keratin-18 Level And Risk Of Anti-Tuberculosis Drug-Induced Liver Injury: An Individual Matched Case-Control Study

Anti-tuberculosis drug-induced liver injury (ATLI) presents a grand challenge to the global control of tuberculosis. Serum keratin-18 may have a certain predictive value for the occurrence of liver injury. The purpose of this study is to examine the correlation between baseline serum keratin-18 levels and ATLI risk among the eastern Chinese Han population. Employing a 1:2 individual matched case-control approach, the study encompassed 88 ATLI cases and 176 controls. Univariate and multivariate conditional logistic regression analyses were performed to evaluate the association between baseline keratin-18 levels and ATLI risk. Furthermore, area under the curve (AUC) was used to assess keratin-18's efficacy in distinguishing ATLI cases from controls. In ATLI cases, baseline keratin-18 levels were significantly lower than controls (188.8 vs. 234.9 ng/L, P = 0.044), with higher levels associated with reduced ATLI risk (OR = 0.995, 95% CI: 0.992-0.999, P = 0.005). Under the optimal keratin-18 cut-off value of 191.6 ng/L, the AUCs were equal to 0.577 (95% CI: 0.513-0.640, P = 0.018) in univariate analysis and 0.597 (95% CI: 0.524-0.670, P = 0.010) in multivariate analysis. The present study indicated that the higher the baseline keratin-18 concentration in tuberculosis patients of eastern Chinese Han population, the lower the risk of ATLI.

Authors

Institutions

Publication Details

Journal
Pakistan Journal of Pharmaceutical Sciences
Published
2025-01-01
DOI
https://doi.org/10.36721/pjps.2025.38.3.reg.12891.1
Primary Topic
Curcumin's Biomedical Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Baseline Keratin-18 Level And Risk Of Anti-Tuberculosis Drug-Induced Liver Injury: An Individual Matched Case-Control Study

Lihuan Lu, Hongqiu Pan, Shaowen Tang, Bing Han et al.
Pakistan Journal of Pharmaceutical Sciences
Curcumin's Biomedical Applications
article

Baseline Keratin-18 Level And Risk Of Anti-Tuberculosis Drug-Induced Liver Injury: An Individual Matched Case-Control Study

Lihuan Lu, Hongqiu Pan, Shaowen Tang, Bing Han, Honggang Yi, Meiling Zhang, Min Zhu, Xiaomin He, Yiwen He
article en

Abstract

Anti-tuberculosis drug-induced liver injury (ATLI) presents a grand challenge to the global control of tuberculosis. Serum keratin-18 may have a certain predictive value for the occurrence of liver injury. The purpose of this study is to examine the correlation between baseline serum keratin-18 levels and ATLI risk among the eastern Chinese Han population. Employing a 1:2 individual matched case-control approach, the study encompassed 88 ATLI cases and 176 controls. Univariate and multivariate conditional logistic regression analyses were performed to evaluate the association between baseline keratin-18 levels and ATLI risk. Furthermore, area under the curve (AUC) was used to assess keratin-18's efficacy in distinguishing ATLI cases from controls. In ATLI cases, baseline keratin-18 levels were significantly lower than controls (188.8 vs. 234.9 ng/L, P = 0.044), with higher levels associated with reduced ATLI risk (OR = 0.995, 95% CI: 0.992-0.999, P = 0.005). Under the optimal keratin-18 cut-off value of 191.6 ng/L, the AUCs were equal to 0.577 (95% CI: 0.513-0.640, P = 0.018) in univariate analysis and 0.597 (95% CI: 0.524-0.670, P = 0.010) in multivariate analysis. The present study indicated that the higher the baseline keratin-18 concentration in tuberculosis patients of eastern Chinese Han population, the lower the risk of ATLI.

Pakistan Journal of Pharmaceutical SciencesVol. 38(3)
Jiangsu University (CN), Taixing People's Hospital (CN), Affiliated Hospital of Jiangsu University (CN), Changshu No.1 People's Hospital (CN), Xian Yang Central Hospital (CN), Nanjing Medical University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 90%
Curcumin's Biomedical Applications
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.