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Dataset Information

Predictive Approaches for Acute Dialysis Requirement and Death in COVID-19.


ABSTRACT:

Background and objectives

AKI treated with dialysis initiation is a common complication of coronavirus disease 2019 (COVID-19) among hospitalized patients. However, dialysis supplies and personnel are often limited.

Design, setting, participants, & measurements

Using data from adult patients hospitalized with COVID-19 from five hospitals from the Mount Sinai Health System who were admitted between March 10 and December 26, 2020, we developed and validated several models (logistic regression, Least Absolute Shrinkage and Selection Operator (LASSO), random forest, and eXtreme GradientBoosting [XGBoost; with and without imputation]) for predicting treatment with dialysis or death at various time horizons (1, 3, 5, and 7 days) after hospital admission. Patients admitted to the M

SUBMITTER: Vaid A 

PROVIDER: S-EPMC8455052 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature