# Predicting Post-Cardiac Surgery Acute Kidney Disease: A Machine Learning Approach

> **NCT07482683** · — · NOT_YET_RECRUITING · sponsor: **China National Center for Cardiovascular Diseases** · enrollment: 820 (estimated)

## Conditions studied

- Acute Kidney Disease

## Interventions

_None listed._

## Key facts

- **NCT ID:** NCT07482683
- **Lead sponsor:** China National Center for Cardiovascular Diseases
- **Sponsor class:** OTHER_GOV
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** NOT_YET_RECRUITING
- **Start date:** 2026-03-01
- **Primary completion:** 2027-06-30
- **Final completion:** 2027-06-30
- **Target enrollment:** 820 (ESTIMATED)
- **Last updated:** 2026-03-19


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07482683

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07482683, "Predicting Post-Cardiac Surgery Acute Kidney Disease: A Machine Learning Approach". Retrieved via AI Analytics 2026-06-12 from https://api.ai-analytics.org/clinical/NCT07482683. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*