Faculty Collaboration Database

Pre-transplant identification of risk factors that adversely affect length of stay and charges for renal transplantation. Clin Transplant 1999 Apr;13(2):168-75

Date

04/15/1999

Pubmed ID

10202613

DOI

10.1034/j.1399-0012.1999.130203.x

Scopus ID

2-s2.0-0032943653 (requires institutional sign-in at Scopus site)   53 Citations

Abstract

BACKGROUND: In the current era of renal transplantation, increasing attention is being focused on resource utilization. The purpose of this study was to identify demographic, medical and immunologic risk factors that are associated with changes in length of stay (LOS) and charges for renal transplantation.

METHOD: The study was a retrospective analysis of 311 consecutive renal transplants performed at a single institution. Univariate and multivariate analyses were used to examine relationships between risk factors, LOS, charges and post-operative complications.

RESULTS: The following pre-transplant variables were found to be independently significant in predicting increased LOS and/or charges: African-American race, obesity for women, chronic obstructive pulmonary disease (COPD), presence of cardiac disease or previous stroke, pre-transplant dialysis time > or = 1 yr, a 10% increase in panel reactive antibody (PRA), cadaver donor and retransplantation. The analyses were performed with and without adjustment for key outcome variables such as delayed graft function (DGF) and use of induction antibody therapy. Increased LOS or charges for specific risk factors could be attributed to increased complication rates, including delayed graft function seen with various co-morbidities, or increased immunologic risk and more frequent use of induction antibody therapy.

CONCLUSION: Analysis of linked financial and clinical databases can reveal demographic, medical and immunologic risk factors that correlate with LOS, charges and complications for renal transplantation. Efforts to establish quantitative relationships for various risk factors relative to resource utilization will become important in managed care and/or capitated healthcare delivery systems.

Author List

Johnson CP, Kuhn EM, Hariharan S, Hartz AJ, Roza AM, Adams MB

Author

Christopher P. Johnson MD Professor in the Surgery department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Adult
Analysis of Variance
Antibodies
Cadaver
Cerebrovascular Disorders
Female
Forecasting
Health Care Rationing
Heart Diseases
Hospital Charges
Hospitalization
Humans
Kidney Transplantation
Length of Stay
Living Donors
Lung Diseases, Obstructive
Male
Middle Aged
Multivariate Analysis
Obesity
Postoperative Complications
Renal Dialysis
Reoperation
Retrospective Studies
Risk Factors
Sex Factors
Time Factors