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Browsing by Author "Corbito, Laura"
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Item Attendance at a Transitional Liver Clinic May Be Associated with Reduced Readmissions for Patients with Liver Disease(Elsevier, 2022) Yoder, Lindsay; Mladenovic, Andrea; Pike, Francis; Vuppalanchi, Raj; Hanson, Haleigh; Corbito, Laura; Desai, Archita P.; Chalasani, Naga; Orman, Eric S.; Medicine, School of MedicineIntroduction: Patients with liver disease have high rates of early hospital readmission, but there are no studies of effective, scalable interventions to reduce this risk. In this study, we examined the impact of a Physician Assistant (PA)-led post-discharge Transitional Liver Clinic (TLC) on hospital readmissions. Methods: We performed a cohort study of all adults seen by a hepatologist during admission to a tertiary care center in 2019 (excluding transplant patients). We compared those who attended the TLC with those who did not, with respect to 30-day readmission and mortality. Propensity score-adjusted modeling was used to control for confounding. Results: Of 498 patients, 98 were seen in the TLC; 35% had alcoholic liver disease and 58% had cirrhosis. Attendees were similar to non-attendees with respect to demographics, liver disease characteristics and severity, comorbidities, and discharge disposition. Thirty-day cumulative incidence of readmissions was 12% in TLC attendees, compared with 22% in non-attendees (P = .02), while 30-day mortality was similar (2.0% vs 4.3%; P = .29). In a model using propensity score adjustment, TLC attendance remained associated with reduced readmissions (subhazard ratio 0.52; 95% confidence interval, 0.27-0.997; P = .049). The effect of TLC was greater in women compared with men (P = .07) and in those without chronic kidney disease (P = .02), but there were no differences across other subgroups. Conclusions: Patients with liver disease seen in a PA-led TLC may have a significant reduction in the 30-day readmission rate. Randomized trials are needed to establish the efficacy of PA-led post-discharge transitional care for this population.Item Development and Validation of Model Consisting of Comorbidity Burden to Calculate Risk of Death Within 6 months for Patients With Suspected Drug-Induced Liver Injury(Elsevier, 2019-11) Ghabril, Marwan; Gu, Jiezhun; Yoder, Lindsay; Corbito, Laura; Ringel, Amit; Beyer, Christian D.; Vuppalanchi, Raj; Barnhart, Huiman; Hayashi, Paul H.; Chalasani, Naga; Medicine, School of MedicineBackground & Aims: Patients with drug-induced liver injury (DILI) frequently have comorbid conditions, but the effects of non-liver comorbidities on outcome is not well understood. We investigated the association between co-morbidity burden and outcomes of patients with DILI, and developed and validated a model to calculate risk of death within 6 months. Methods: A multiple logistic regression model identified variables independently associated with death within 6 months of presenting with suspected DILI (6-month mortality) for 306 patients enrolled in the DILIN prospective study at Indiana University (discovery cohort). The model was validated using data from 247 patients with suspected DILI enrolled in the same study at the University of North Carolina (validation cohort). Medical comorbidity burden was calculated using the Charlson comorbidity index—patients with scores higher than 2 were considered to have significant comorbidities. Results: Six-month mortality was 8.5% in the discovery cohort and 4.5% in the validation cohort. In the discovery cohort, significant comorbidities (odds ratio [OR], 5.4; 95% CI 2.1 – 13.8), model for end-stage liver disease score (OR, 1.11; 95% CI, 1.04–1.17), and serum level of albumin at presentation (OR, 0.39; 95% CI, 0.2–0.76) were independently associated with 6-month mortality. A model based on these 3 variables identified patients who died within 6 months with c-statistic values of 0.89 (95% CI, 0.86–0.94) in the discovery cohort and 0.91 (95% CI, 0.83–0.99) in the validation cohort. We developed a web-based calculator to determine risk of death within 6 months for patients with suspected DILI for use in the clinic. Conclusions: We developed and validated a model based on comorbidity burden, model for end-stage liver disease score, and serum level of albumin that predicts 6-month mortality in patients with suspected DILI.