LUCIANA BERTOCCO DE PAIVA HADDAD
Projetos de Pesquisa
Unidades Organizacionais
Instituto Central, Hospital das Clínicas, Faculdade de Medicina - Médico
LIM/37 - Laboratório de Transplante e Cirurgia de Fígado, Hospital das Clínicas, Faculdade de Medicina
LIM/37 - Laboratório de Transplante e Cirurgia de Fígado, Hospital das Clínicas, Faculdade de Medicina
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bookPart Neoplasias da papila duodenal(2017) HADDAD, Luciana Bertocco de Paiva- Higher MELD score increases the overall cost on the waiting list for liver transplantation: a micro-costing analysis based study(2017) TURRI, Jose Antonio Orellana; DECIMONI, Tassia Cristina; FERREIRA, Leandro Augusto; DINIZ, Marcio Augusto; HADDAD, Luciana Bertocco de Paiva; CAMPOLINA, Alessandro GonçalvesABSTRACT BACKGROUND: The pre-transplant period is complex and includes lots of procedures. The severity of liver disease predisposes to a high number of hospitalizations and high costs procedures. Economic evaluation studies are important tools to handle costs on the waiting list for liver transplantation. OBJECTIVE: The objective of the present study was to evaluate the total cost of the patient on the waiting list for liver transplantation and the main resources related to higher costs. METHODS: A cost study in a cohort of 482 patients registered on waiting list for liver transplantation was carried out. In 24 months follow-up, we evaluated all costs of materials, medicines, consultations, procedures, hospital admissions, laboratorial tests and image exams, hemocomponents replacements, and nutrition. The total amount of each resource or component used was aggregated and multiplied by the unitary cost, and thus individual cost for each patient was obtained. RESULTS: The total expenditure of the 482 patients was US$ 6,064,986.51. Outpatient and impatient costs correspond to 32.4% of total cost (US$ 1,965,045.52) and 67.6% (US$ 4,099,940.99) respectively. Main cost drivers in outpatient were: medicines (44.31%), laboratorial tests and image exams (31.68%). Main cost drivers regarding hospitalizations were: medicines (35.20%), bed use in ward and ICU (26.38%) and laboratorial tests (13.72%). Patients with MELD score between 25-30 were the most expensive on the waiting list (US$ 16,686.74 ± 16,105.02) and the less expensive were those with MELD below 17 (US$ 5,703.22 ± 9,318.68). CONCLUSION: Total costs on the waiting list for liver transplantation increased according to the patient’s severity. Individually, hospitalizations, hemocomponents reposition and hepatocellular carcinoma treatment were the main cost drivers to the patient on the waiting list. The longer the waiting time, the higher the total cost on list, causing greater impact on health systems.
- Predictors of micro-costing components in liver transplantation(2017) HADDAD, Luciana Bertocco de Paiva; DUCATTI, Liliana; MENDES, Luana Regina Baratelli Carelli; ANDRAUS, Wellington; D'ALBUQUERQUE, Luiz Augusto CarneiroOBJECTIVES: Although liver transplantation procedures are common and highly expensive, their cost structure is still poorly understood. This study aimed to develop models of micro-costs among patients undergoing liver transplantation procedures while comparing the role of individual clinical predictors using tree regression models. METHODS: We prospectively collected micro-cost data from patients undergoing liver transplantation in a tertiary academic center. Data collection was conducted using an Intranet registry integrated into the institution's database for the storing of financial and clinical data for transplantation cases. RESULTS: A total of 278 patients were included and accounted for 300 procedures. When evaluating specific costs for the operating room, intensive care unit and ward, we found that in all of the sectors but the ward, human resources were responsible for the highest costs. High cost supplies were important drivers for the operating room, whereas drugs were among the top four drivers for all sectors. When evaluating the predictors of total cost, a MELD score greater than 30 was the most important predictor of high cost, followed by a Donor Risk Index greater than 1.8. CONCLUSION: By focusing on the highest cost drivers and predictors, hospitals can initiate programs to reduce cost while maintaining high quality care standards.
- Association Between Readmission After Liver Transplant and Adverse Immunosuppressant Reactions: A Prospective Cohort With a 1-Year Follow-up(2017) HADDAD, L.; ANDRADE, K.; MENDES, L.; DUCATTI, L.; D'ALBUQUERQUE, L. A.; ANDRAUS, W.Objective. To measure the association between readmission after liver transplantation and corresponding adverse drug reactions. Methods. A total of 48 patients undergoing liver transplantation were prospectively followed for 1 year. Of these, 23 were readmitted and evaluated by a pharmacist for causes of adverse drug reaction. The detection of adverse drug reactions was based on a combination of clinical interviews and physical and laboratory exams. Adverse reactions were defined in accordance with the Naranjo algorithm. Results. A total of 67.6% of all readmissions were related to adverse drug reactions, with tacrolimus accounting for 80% of the drug reactions. The most common cause of readmission was infection (48.6%), followed by procedure-related reasons (29.7%). Of all patients requiring admission, 39.1% had Model for End-stage Liver Disease (MELD) scores below 21 at the time of transplantation, 17.4% had MELD scores between 21 and 29, and 43.5% had MELD scores above 29. Most (66.7%) of those readmitted more than twice had MELD scores above 29. Conclusion. Adverse drug reactions related to immunosuppressants frequently lead to readmission among liver transplant patients, and in our series tacrolimus was the most frequently associated drug.