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RESEARCH PRODUCT

Time-Varying mHAP-III Is the Most Accurate Predictor of Survival in Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization

Francesco Giuseppe FoschiGianpaolo VidiliAndrea MegaAntonio GasbarriniMarco ZoliEdoardo G. GianniniRodolfo SaccoAlessandro VitaleFrancesco TovoliGiacomo LaffiMaria Di MarcoGiovanni RaimondoGianluca Svegliati-baroniClaudia CampaniFrancesco AzzaroliFabio FarinatiUmberto ArenaFabio MarraGabriele DragoniAlberto MasottoFranco TrevisaniMaurizia Rossana BrunettoGiuseppe CabibboElisabetta BiasiniGian Ludovico RapacciniEugenio CaturelliGerardo NardoneMaria GuarinoUmberto Cillo

subject

ALBI grade; Barcelona Clinic Liver Cancer; Cancer of the Liver Italian Program; ITALICA staging system; MESIAHmedicine.medical_specialtylcsh:RC254-282GastroenterologyALBI gradeBarcelona Clinic Liver CancerInternal medicineMedicineIn patientCancer of the Liver Italian ProgramITALICA staging systemRadiologic ResponseSettore MED/12 - GastroenterologiaOriginal PaperHepatologybusiness.industryProportional hazards modelConfoundingHazard ratiolcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensmedicine.diseaseMESIAHOncologyHepatocellular carcinomaAkaike information criterionbusinessLiver cancer

description

<b><i>Introduction:</i></b> The prognosis of patients undergoing transarterial chemoembolization (TACE) is extremely variable, and a confounding factor is that TACE is often repeated several times. We retrospectively evaluated the accuracy of different prognostic scores and staging systems in estimating overall survival (OS) in patients with hepatocellular carcinoma (HCC). <b><i>Methods:</i></b> An analysis considering prognostic models as time-varying variables was performed, calculating OS from the time of TACE to the time of the subsequent treatment. Total follow-up time for each patient was therefore split into several observation times accounting for each TACE procedure. Values of the likelihood ratio test (LRT) and Akaike information criterion (AIC) were used to compare different systems. Univariable and multivariable analyses were conducted to identify additional factors predictive of OS. We analyzed 1,610 TACE performed in 1,058 patients recorded in the Italian Liver Cancer database from 2008 through 2016. <b><i>Results:</i></b> The median OS of the enrolled patients was 41 months. According to LRT χ<sup>2</sup> and AIC values based on the time-varying analysis, mHAP-III achieved the best values (41.72 and 4,625.49, respectively, <i>p</i> < 0.0001), indicating the highest predictive performance compared with all other scores (HAP, mHAP-II, ALBI, and pALBI) and staging systems (MELD, ITALICA, CLIP, MESH, MESIAH, JIS, HKLC, and BCLC). In the multivariable Cox proportional hazards model, mHAP-III maintained an independent effect on OS (hazard ratio 1.31, 95% CI: 1.10–1.55, <i>p</i> < 0.0001). Time-varying age, alcoholic etiology, radiologic response to TACE, and performing ablation or surgery after TACE were additional significant variables resulting from the multivariable model. <b><i>Conclusion:</i></b> An innovative time-varying analysis revealed that mHAP-III was the most accurate model in predicting OS in patients with HCC undergoing TACE. Other clinical pre- and post-TACE variables were also found to be relevant for this prediction.

10.1159/000513404http://hdl.handle.net/11577/3401923