Predictors of rehospitalization time during the first year after heart transplant

Background t problems after heart transplant (HT) can lead to rehospitalization. ive mine rehospitalization patterns and identify predictors of the number of days rehospitalized at the transplant site during the first year after HT surgery. s chical regression identified predictors of greater rehospitalization time from chart data collected from two transplant sites during the first posttransplant year on 269 adult HT recipients. Variables (total = 32) were entered in six steps: clinical site, demographics, perioperative variables, cardiac function, immunosuppressant dosages, and post-HT complications. s mber of days rehospitalized at the transplant site during the first year after HT ranged from 0 to 142 (mean = 25, median = 16); 64% were rehospitalized; 37% were rehospitalized more than once. Main reasons were rejections, infections, cardiovascular problems, and gastrointestinal (GI) problems. The regression model explained 48.7% of the variance in rehospitalization time, with post-HT complications explaining the most variance. Ten predictors were significant: intravenously treated infections, treated acute rejections, shorter stay for HT surgery, GI complications, higher prednisone dose, female gender, coma, sex mismatch between donor and recipient, renal complications, and clinical site. sion four percent of the patients were rehospitalized at the transplant site during the first year after HT surgery (with a median of 16 hospital days); 37% were rehospitalized more than once. Significant predictors of the amount of time rehospitalized pertained to five types of complications (rejections, infections, GI, renal, coma), shorter HT surgical stay, female gender, higher prednisone dose, sex-mismatched donor, and clinical site. The study identifies who uses the most hospital resources during the first year after HT.