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

NCT ID: NCT06471101

Last Updated: 2024-06-24

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 2934 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2024-06-18
• Study Completion Date: 2024-06-18

Brief Summary

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.

Conditions

COVID-19; Acute Kidney Injury

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: RETROSPECTIVE

Interventions

clusters

clustering

Intervention Type: DIAGNOSTIC_TEST

Eligibility Criteria

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.

• Minimum Eligible Age: 15 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Instituto Nacional de Enfermedades Respiratorias

OTHER_GOV

Sponsor Role: lead

Responsible Party

Elizabeth Santiago Del Angel

Ph D. in computer science

Responsibility Role: PRINCIPAL_INVESTIGATOR

Locations

Instituto Nacional de Enfermedades Respiratorias

Mexico City, , Mexico

Countries

Mexico

Other Identifiers

C38-23

Identifier Type: -

Identifier Source: org_study_id