Acute Kidney Injury, COVID-19
Conditions
Keywords
machine learning, artificial intelligence
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.
Interventions
DIAGNOSTIC_TESTclusters
clustering
Sponsors
Instituto Nacional de Enfermedades Respiratorias
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
15 Years to No maximum
Healthy volunteers
No
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Subphenotypes of acute kidney injury in patients | Through study completion, an average of one month | Number of acute kidney injury subphenotypes in patients with COVID-19 |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Mortality of acute kidney injury patients | Through study completion, an average of one month | Differences between mortality rates in acute kidney injury subphenotypes of patients with COVID-19 |
| Severity of acute kidney injury patients | Through study completion, an average of one month | Differences between severity stages in acute kidney injury subphenotypes of patients with COVID-19 |
| Non-recovery in acute kidney injury patients | Through study completion, an average of one month | Differences between non recovery rates in acute kidney injury subphenotypes of patients with COVID-19 |
| Renal replacement therapy requirement in acute kidney injury patients | 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 |
| Length of stay of acute kidney injury patients | Through study completion, an average of one month | Differences in-hospital length of stay in acute kidney injury subphenotypes of patients with COVID-19. |
Countries
Mexico
Outcome results
None listed