Applying Artificial Intelligence to Identify Subphenotypes of Acute Kidney Injury in Mexican Patients With Severe COVID-19 (IA-COVAKI)

National Institute of Respiratory Diseases (INER)

Status: Completed

Conditions: COVID-19; Acute Kidney Injury

Treatments: Diagnostic Test: clusters

Study type: Observational

Funder types: Other

Identifiers

NCT06471101

C38-23

Details and patient eligibility

About

The goal of this observational study was to identify subphenotypes of acute kidney injury patients with COVID-19, and the investigators analyzed their impact on mortality. The study included demographic and clinical variables of the participants. The implementation of Machine Learning algorithms and Artificial Intelligence methods are used, and some specific implementations were designed for the analysis, where each group was characterized by traditional statistical methods.

Enrollment: 2,934 patients

Sex: All

Ages: 15+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Patients older than 15 years old, hospitalized, and with severe acute respiratory syndrome (SARS-CoV-2) positive confirmation.

Exclusion criteria

• Patients who did not have at least 1 creatinine measurement.