SynthesisFrontiers in medicine2022
Incidence, predictors, and outcomes of early hospital readmissions after kidney transplantation: Systemic review and meta-analysis.
Synthesis in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- The effectiveness of remote interventions based on digital health technology in kidney transplant recipients: a systematic review.World journal of urology · 2025Pooled it
- Safety and economic benefits of early hospital-at-home transfer after kidney transplantation: a propensity-score matched study from Spain.The European journal of health economics : HEPAC : health economics in prevention and care · 2026Article
- Hospital Readmissions in People with CKD: Moving a Stubborn Needle.Clinical journal of the American Society of Nephrology : CJASN · 2026Article
- Assessment of Readiness for Discharge and Its Psychosocial Determinants in Kidney and Liver Transplant Patients in Poland-A Cross-Sectional Analytical Study.Healthcare (Basel, Switzerland) · 2025Article
- Development of explainable artificial intelligence based machine learning model for predicting 30-day hospital readmission after renal transplantation.BMC nephrology · 2025Article
- Mechanical Preservation and Delayed Graft Function and Hospital Length of Stay as Deployed in the United States: Analysis of the Last Decade.Annals of transplantation · 2024Article
- Outcomes of early hospital readmission after kidney transplantation: Perspectives from a Canadian transplant centre.World journal of transplantation · 2023Article
- The Impact and Effectiveness of Weight Loss on Kidney Transplant Outcomes: A Narrative Review.Nutrients · 2023Review
- Utilization of the emergency department by kidney transplant recipients: a retrospective cohort study from a high-volume transplant center.Annals of medicine and surgery (2012) · 2023Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Early hospital readmission (EHR) within 30 days after kidney transplantation is a significant quality indicator of transplant centers and patient care. This meta-analysis aims to evaluate the incidence, predictors, and outcomes of EHR after kidney transplantation. Methods: We comprehensively searched the databases, including PubMed, Cochrane CENTRAL, and Embase, from inception until December 2021 to identify studies that assessed incidence, risk factors, and outcome of EHR. The outcomes included death-censored graft failure and mortality. Data from each study were combined using the random effect to calculate the pooled incidence, mean difference (MD), odds ratio (OR), and hazard ratio (HR) with 95% confidence interval (CI). Results: A total of 17 studies were included. The pooled EHR incidence after kidney transplant was 24.4% (95% CI 21.7-27.3). Meta-analysis showed that recipient characteristics, including older recipient age (MD 2.05; 95% CI 0.90-3.20), Black race (OR 1.31; 95% CI 1.11, 1.55), diabetes (OR 1.32; 95% CI 1.22-1.43), and longer dialysis duration (MD 0.85; 95% CI 0.41, 1.29), donor characteristics, including older donor age (MD 2.02; 95% CI 0.93-3.11), and transplant characteristics, including delayed graft function (OR 1.75; 95% CI 1.42-2.16) and longer length of hospital stay during transplantation (MD 1.93; 95% CI 0.59-3.27), were significantly associated with the increased risk of EHR. EHR was significantly associated with the increased risk of death-censored graft failure (HR 1.70; 95% CI 1.43-2.02) and mortality (HR 1.46; 95% CI 1.27-1.67) within the first year after transplantation. Conclusion: Almost one-fourth of kidney transplant recipients had EHR within 30 days after transplant, and they had worse post-transplant outcomes. Several risk factors for EHR were identified. This calls for future research to develop and implement for management strategies to reduce EHR in high-risk patients.
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