Risk Factors and Machine Learning Model for Diuretics Related Acute Kidney Injury

NCT ID: NCT05527054

Last Updated: 2024-04-03

Basic Information

• Recruitment Status: ACTIVE_NOT_RECRUITING
• Total Enrollment: 18000 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2022-07-01
• Study Completion Date: 2024-06-30

Brief Summary

Acute kidney injury (AKI) is a series of clinical syndromes in which serum creatinine (Scr) concentrations increase over a short period of time, or urine output decreases. It has become an increasing global concern.Drug-induced acute kidney injury (D-AKI) refers to kidney injury caused by drugs or their metabolites within 7 days after the use of one or more drugs. The kidneys are rich in blood flow and have the function of acidifying the urine, making them an easy target for drug toxicity. Besides, there are enzymes in the kidney that metabolize some drugs, and if these drugs are metabolized abnormally in the kidney, substances toxic to the kidney may be produced.It was found that about 20% of AKI in hospitalized patients was caused by medications.Diuretics are one of the well-known nephrotoxic drugs, since they can directly or indirectly cause a significant decrease in renal blood perfusion and glomerular filtration rate through the mechanism of affecting tubulobulb feedback, which leads to kidney ischemia and hypoxia.However, there are few real-world studies on the incidence of AKI in hospitalized patients received diuretics. In this study, we aimed to explore the incidence and risk factors analysis of AKI in hospitalized patients received diuretics and develop the machine learning model for diuretics related AKI based on electronic medical record data. With the individual characteristics of patients, the risk of AKI can be evaluated before receiving diuretics, which may provide useful information for clinical decision making to better prevent D-AKI.

Conditions

Diuretic Toxicity; Acute Kidney Injury

Study Design

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

Study Groups

AKI Group

Diuretics

Intervention Type: OTHER

Inpatients using diuretics

Non-AKI Group

Diuretics

Intervention Type: OTHER

Inpatients using diuretics

Interventions

Diuretics

Inpatients using diuretics

Intervention Type: OTHER

Eligibility Criteria

Inclusion Criteria

All inpatients who used diuretics during hospitalization Hospital stay ≥ 48h Age ≥ 18 years There were two or more blood creatinine tests during hospitalization

Exclusion Criteria

Hospital stay < 48h Age < 18 years GFR < 30ml/min/1.73m2 within 48 hours after admission AKI was diagnosed on admission Less than two Scr test results during hospitalization The Scr values were always lower than 40 μmol/L during hospitalization Cases with incomplete medical history information

• Minimum Eligible Age: 18 Years
• Maximum Eligible Age: 100 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Qianfoshan Hospital

OTHER

Sponsor Role: lead

Responsible Party

Xiao Li，MD

MD

Responsibility Role: PRINCIPAL_INVESTIGATOR

Locations

Xiao Li，MD

Jinan, Shandong, China

Countries

China

Other Identifiers

LCYY-LX-20220101

Identifier Type: -

Identifier Source: org_study_id