Personalized Antiviral Drug Selection in Patients With Chronic Hepatitis B Using a Machine Learning Model: A Multinational Study.
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Hur Moon Haeng, Park Min Kyung, Yip Terry Cheuk-Fung, Chen Chien-Hung, Lee Hyung-Chul, Choi Won-Mook, Kim Seung Up, Lim Young-Suk, Park Soo Young, Wong Grace Lai-Hung, Sinn Dong Hyun, Jin Young-Joo, Kim Sung Eun, Peng Cheng-Yuan, Shin Hyun Phil, Chen Chi-Yi, Kim Hwi Young, Lee Han Ah, Seo Yeon Seok, Jun Dae Won, Yoon Eileen L, Sohn Joo Hyun, Ahn Sang Bong, Shim Jae-Jun, Jeong Soung Won, Cho Yong Kyun, Kim Hyoung Su, Jang Myoung-Jin, Kim Yoon Jun, Yoon Jung-Hwan, Lee Jeong-Hoon
Аннотация
METHODS: This multinational study included 13,970 patients with chronic hepatitis B. The derivation (n = 6,790), Korean validation (n = 4,543), and Hong Kong-Taiwan validation cohorts (n = 2,637) were established. Patients were classified as the TDF-superior group when a PLAN-S-predicted HCC risk under ETV treatment is greater than under TDF treatment, and the others were defined as the TDF-nonsuperior group.
RESULTS: The PLAN-S model was derived using 8 variables and generated a c-index between 0.67 and 0.78 for each cohort. The TDF-superior group included a higher proportion of male patients and patients with cirrhosis than the TDF-nonsuperior group. In the derivation, Korean validation, and Hong Kong-Taiwan validation cohorts, 65.3%, 63.5%, and 76.4% of patients were classified as the TDF-superior group, respectively. In the TDF-superior group of each cohort, TDF was associated with a significantly lower risk of HCC than ETV (hazard ratio = 0.60-0.73, all P < 0.05). In the TDF-nonsuperior group, however, there was no significant difference between the 2 drugs (hazard ratio = 1.16-1.29, all P > 0.1).
DISCUSSION: Considering the individual HCC risk predicted by PLAN-S and the potential TDF-related toxicities, TDF and ETV treatment may be recommended for the TDF-superior and TDF-nonsuperior groups, respectively.