Waitlist Hospital Admissions Predict Resource Utilization and Survival After Renal Transplantation.
Ann Surg
; 264(6): 1168-1173, 2016 Dec.
Article
en En
| MEDLINE
| ID: mdl-26720436
ABSTRACT
OBJECTIVE:
To determine whether fitness for transplant can be determined by candidates' hospitalizations although waitlisted.BACKGROUND:
Renal transplantation must increasingly serve a population of multiply comorbid patients in an environment defined by organ scarcity and premiums on value-based care. Determining those at excess risk for transplant is critical to these imperatives.METHODS:
United States Renal Data Systems patient and claims data for all adult renal transplant recipients between 2000 and 2010 with continuous primary Medicare coverage for 1 year before and after transplantation were examined. Outcomes included readmissions within the first-year post-transplant and 3-year graft and patient survival. Chi-square statistics, Kaplan-Meier methods (log-rank test), and goodness of fit calculations (c-statistics) were performed for models of transplant outcome.RESULTS:
Among 37,623 patients, the percentages of patients admitted for 0, 1 to 7, 8 to 14, or 15 or more days in the pretransplant year were 51%, 25%, 11%, and 13%. Overall readmission-free survival at 1 year was 31%. Heavily preadmitted patients were more likely to have a greater length of stay during their transplant admission, and had a greater service needs at discharge. Pretransplant admission strongly predicted more frequent post-transplant admission. Among all factors studied, preadmission was the strongest predictor of post-transplant death, and had a dose-dependent effect on both death and graft loss.CONCLUSIONS:
In summary, hospitalization in the year before transplant is an objective, readily ascertainable, and powerful predictor of excess resource utilization and inferior outcome. Incorporation of a rolling assessment of patient hospitalization has potential policy implications for maximizing value in renal transplantation.
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Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Listas de Espera
/
Trasplante de Riñón
/
Hospitalización
Tipo de estudio:
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Female
/
Humans
/
Male
/
Middle aged
País/Región como asunto:
America do norte
Idioma:
En
Revista:
Ann Surg
Año:
2016
Tipo del documento:
Article
País de afiliación:
Gabón