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OpenTrials
Completed

NCT Number: NCT06471101

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

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.

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Key information

Conditions

COVID-19 Acute Kidney Injury Coronaviridae Infections Coronavirus Infections Female Urogenital Diseases Female Urogenital Diseases and Pregnancy Complications Infections Kidney Diseases Lung Diseases Male Urogenital Diseases Nidovirales Infections Pneumonia Pneumonia, Viral RNA Virus Infections Renal Insufficiency Respiratory Tract Diseases Respiratory Tract Infections Urogenital Diseases Urologic Diseases Virus Diseases

Age range

15 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Instituto Nacional de Enfermedades Respiratorias

Mexico City, 14080, Mexico

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

clusters

Diagnostic Test

clustering

Primary outcomes

  1. Subphenotypes of acute kidney injury in patients

    Time frame: Through study completion, an average of one month

    Number of acute kidney injury subphenotypes in patients with COVID-19

Secondary outcomes

  1. Mortality of acute kidney injury patients

    Time frame: Through study completion, an average of one month

    Differences between mortality rates in acute kidney injury subphenotypes of patients with COVID-19

  2. Severity of acute kidney injury patients

    Time frame: Through study completion, an average of one month

    Differences between severity stages in acute kidney injury subphenotypes of patients with COVID-19

  3. Non-recovery in acute kidney injury patients

    Time frame: Through study completion, an average of one month

    Differences between non recovery rates in acute kidney injury subphenotypes of patients with COVID-19

  4. Renal replacement therapy requirement in acute kidney injury patients

    Time frame: Through study completion, an average of one month

    Differences between renal replacement therapy requirement rates in acute kidney injury subphenotypes of patients with COVID-19

  5. Length of stay of acute kidney injury patients

    Time frame: Through study completion, an average of one month

    Differences in-hospital length of stay in acute kidney injury subphenotypes of patients with COVID-19.

Sponsors and collaborators

Lead sponsor

Instituto Nacional de Enfermedades Respiratorias

Other Gov

Registry information

Acronym: IA-COVAKI

Important dates

Study start
2024
Primary completion
2024
Study completion
2024
First posted
Jun 24, 2024
Registry last updated
Jun 24, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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