Analyzing the influencing factors of unplanned readmission within one year after cadaveric renal transplantation

Abstract

To investigate the factors influencing unplanned readmission within one year following cadaveric renal transplantation. Clinical data of kidney transplant recipients from the organ transplantation department of a tertiary general hospital in Guizhou Province, collected between April 2017 and December 2022, were retrospectively analyzed. Recipients were categorized into an unplanned readmission group and a non-readmission group based on whether unplanned readmission occurred within one year post-surgery. Univariate analysis and conditional backward stepwise regression was employed to identify variables, and binary logistic regression analysis was conducted to determine the independent influencing factors of unplanned readmission within one year after cadaveric renal transplantation. Unplanned readmission was observed in 183 out of 479 recipients (38.20%). Univariate analysis and conditional backward stepwise regression indicated that fall risk, albumin, total protein, serum creatinine, Cystatin C, medical insurance, length of stay, rejection reaction, blood transfusion during hospitalization, occupations, smoking history, drinking history and comorbidities were associated with unplanned readmission within one year after cadaveric renal transplantation. Binary logistic regression analysis revealed that rejection reaction(OR=2.323, 95%CI: 1.009-5.345), comorbidities greater than or equal to three (OR=1.887, 95%CI: 1.095-3.111), fall risk(OR=0.387, 95%CI: 0.162-0.927) , and on-the-job(OR=2.949, 95%CI: 1.789-4.862) were independent factors influencing unplanned readmission within one year after cadaveric renal transplantation.Consequently, upon discharge, medical staff should thoroughly assess the risk of unplanned readmission and develop individualized intervention plans based on these risk factors to reduce the incidence of unplanned readmissions, alleviate disease burden, and optimize the allocation of medical resources.