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Socioeconomic Factors and Early Hospital Readmission After Kidney Transplant at a Single Center

J. Lin, E. King, R. Craig-Shapiro, C. Wickliffe, A. Massie, D. Segev.

Department of Surgery, Johns Hopkins School of Medicine, Baltimore.

Meeting: 2015 American Transplant Congress

Abstract number: C60

Keywords: Economics, Kidney transplantation, Outcome, Post-operative complications

Session Information

Session Name: Poster Session C: Hospitalization/Readmission

Session Type: Poster Session

Date: Monday, May 4, 2015

Session Time: 5:30pm-6:30pm

 Presentation Time: 5:30pm-6:30pm

Location: Exhibit Hall E

Early hospital readmission (EHR) is a key negative outcome in kidney transplantation (KT). Socioeconomic (SE) factors are associated with EHR in other contexts, but have not been fully explored in EHR after KT.

METHODS: We studied the association between EHR and demographic, SE, and clinical factors in 227 KT patients at our center from 2012-13. SE factors were: marriage, number of caregivers, drive time to center, education, financial concerns, fixed income, and insurance coverage. Variables were tested univariately for association with EHR using χ² and t-tests. Variables with p<0.1 were included in a multivariate logistic regression model.

RESULTS: EHR rate was 73/227 (32%). Univariate results are summarized in Table 1. SE factors were not associated with EHR; two clinical factors were: longer length of stay (LOS) (16.2 vs 10.8 d, p<0.01) and higher rate of prior transplant (29% vs 13%, p<0.01). Patients with EHR trended toward more caregivers (2.2 vs 1.9, p=0.08, counterintuitively), older age (54.2 vs 50.5 y, p=0.09), and more dialysis years (7.9 vs 2.0, p=0.06). Variables with higher rates but non-significant p-values in EHR patients were: high school or less education, Hepatitis C virus infection (HCV), and history of intravenous drug use (IVDU). A multivariate model of EHR using variables with p<0.1 association is summarized in Table 2. Number of caregivers was not significant with odds ratio (OR) 95% confidence interval (CI) 0.9281.2531.692. Older age had a significant OR 95% CI 1.0031.3081.705 (p=0.048).

CONCLUSION: There was no evidence of association between socioeconomic factors and EHR at our center.

Table 1: Univariate associations with EHR
Variable EHR No EHR p
Age 54.2 50.5 0.09
Gender (% F) 47% 44% 0.8
Race (% white) 58% 49% 0.3
Married 59% 61% 0.9
Caregivers (#) 2.2 1.9 0.08
Drive time to center (min) 67 65 0.8
High school educated or less 8% 4% 0.4
Financial concerns 18% 18% 1.0
Fixed income 36% 38% 0.9
Double insurance coverage 56% 57% 1.0
Dialysis years 7.9 2.0 0.06
Deceased donor 59% 58% 1.0
Discharge Cr 2.59 2.81 0.5
LOS (d) 16.2 10.8 <0.01
Prior transplant 29% 13% <0.01
Anti-hypertension drugs (#) 2.3 2.2 0.6
Insulin 19% 13% 0.3
HCV 14% 7% 0.2
IVDU 7% 2% 0.1
Ever smoker 45% 34% 0.2
Mental health history 32% 26% 0.4
Table 2: Multivariate logistic model of EHR
Variables OR 95% CI p
Caregivers 0.9281.2531.692 0.1
Age (per 10y) 1.0031.3081.705 0.048
LOS (per 10d) 0.9531.4632.247 0.08
Prior transplant 0.7731.9745.039 0.2
Dialysis years 0.9781.0841.203 0.1
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To cite this abstract in AMA style:

Lin J, King E, Craig-Shapiro R, Wickliffe C, Massie A, Segev D. Socioeconomic Factors and Early Hospital Readmission After Kidney Transplant at a Single Center [abstract]. Am J Transplant. 2015; 15 (suppl 3). https://atcmeetingabstracts.com/abstract/socioeconomic-factors-and-early-hospital-readmission-after-kidney-transplant-at-a-single-center/. Accessed May 9, 2025.

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