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CompletedNCT06471101IA-COVAKIUpdated Jun 24, 2024

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

An observational study in COVID-19 and Acute Kidney Injury, sponsored by Instituto Nacional de Enfermedades Respiratorias. Completed at 1 site in Mexico. Open to participants aged 15 Years and older. Per ClinicalTrials.gov, last updated 2024-06-24.

Sponsored by Instituto Nacional de Enfermedades Respiratorias · Observational

Study type
Observational
Model
Cohort
Time perspective
Retrospective
Enrollment
2,934
Ages
15 Years and older
Sex
All
01

Study 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.

02

Conditions studied

  • COVID-19
  • Acute Kidney Injury

Keywords

  • machine learning
  • artificial intelligence
03

In context

COVID-19

7,640 studies on the registry are indexed under COVID-19; 488 are open to participants now.

This study's enrollment of 2,934 is above the median of 261 across 3,136 observational studies indexed under COVID-19.

Browse COVID-19 studies →

Lead sponsor

Instituto Nacional de Enfermedades Respiratorias is the lead sponsor of 16 studies on the registry; 2 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
15 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Patients with acute kidney injury and COVID-19

Inclusion criteria

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

Exclusion criteria

Exclusion Criteria:

  • Patients who did not have at least 1 creatinine measurement.
05

Study design

Observational model
Cohort
Time perspective
Retrospective
Enrollment
2,934 participants (actual)
Patient registry
No

Interventions

  • Diagnostic testclusters

    clustering

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What researchers measure

Primary outcomes

  1. Subphenotypes of acute kidney injury in patients

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

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

Secondary outcomes

  1. Mortality of acute kidney injury patients

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

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

  2. Severity of acute kidney injury patients

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

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

  3. Non-recovery in acute kidney injury patients

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

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

  4. Renal replacement therapy requirement in acute kidney injury patients

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

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

  5. Length of stay of acute kidney injury patients

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

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

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Study locations

1 site
  • Instituto Nacional de Enfermedades Respiratorias
    Mexico City, 14080, Mexico
08

References and documents

Individual participant data

Plan to share: Undecided

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jun 24, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT06471101
Lead sponsor
Instituto Nacional de Enfermedades Respiratorias
Responsible party
Elizabeth Santiago Del Angel (Ph D. in computer science, Instituto Nacional de Enfermedades Respiratorias) — Principal investigator
First posted
Jun 24, 2024
Start date
Jun 18, 2024
Primary completion
Jun 18, 2024
Completion
Jun 18, 2024
Last update
Jun 24, 2024

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in Jun 2024. You cannot join it, but the record below documents what was studied.

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