Yi-Hui Zhou, Ehsan Saghapour
ImputEHR: A Visualization Tool of Imputation for the Prediction of Biomedical Data
Frontiers in genetics
determine predictive value social determinants health sdoh variables 30day readmission following sepsis hospitalization compared traditional clinical variables multicenter retrospective cohort study using patientlevel data including demographic clinical survey data thirtyfive hospitals across united states 2017 2021 two hundred seventyone thousand four hundred twentyeight individuals allofus initiative 8909 index sepsis hospitalization none unplanned 30day readmission hospital multinomial logistic regression models constructed account survival determination variables associate 30day readmission presented adjusted odds rations aors 8909 sepsis patients cohort 21 unplanned hospital readmission within 30 days median age interquartile range 54 years 4165 yr 4762 534 female selfreported 1612 1809 black 2271 2549 hispanic 4642 521 white individuals multinomial logistic regression models accounting survival identified change nonphysician provider type due economic reasons aor 255 235274 delay receiving medical care due lack transportation aor 168 162174 inability afford flowup care aor 159 152166 strongly independently associated 30day readmission adjusting survival patients lived zip code high percentage patients poverty without health insurance also likely readmitted within 30 days aor 126 122129 aor 128 126129 respectively finally found primary care provider health insurance associated low odds unplanned 30day readmission multicenter retrospective cohort several sdoh variables strongly associated unplanned 30day readmission models predicting readmission following sepsis hospitalization may benefit addition sdoh factors traditional clinical variables