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

NCT05527054 | Unknown

• 1 other identifier: LCYY-LX-20220101
• Study Type: observational
• Target: 18,000
• Locations: 1 country
• Sites: 1

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

Keywords

Diuretics; Aute kidney injury; Pharmacoepidemiology; Miss diagnosis; Risk factors; Logic regression

Outcome Measures

Primary Outcomes (1)

• Acute kidney injury

  During the patient's hospitalization, acute kidney injury occurred after diuretic use.

  Through study completion，up to half a year.

Study Arms (2)

AKI Group

Other: Diuretics

Non-AKI Group

Other: Diuretics

Interventions

Diuretics OTHER

Inpatients using diuretics

AKI Group; Non-AKI Group

Eligibility Criteria

• Age: 18 Years - 100 Years
• Sex: all
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

The patients were included if received treatment with diuretics and discharged from the hospital between January 1, 2018 and December 31, 2020.

You may qualify if:

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

You may not qualify if:

• 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

Sponsors & Collaborators

• Qianfoshan Hospital: lead

Study Sites (1)

Xiao Li，MD

Jinan, Shandong, 250014, China

Location

MeSH Terms

Conditions

Acute Kidney Injury

Interventions

Diuretics

Condition Hierarchy (Ancestors)

Renal Insufficiency; Kidney Diseases; Urologic Diseases; Female Urogenital Diseases; Female Urogenital Diseases and Pregnancy Complications; Urogenital Diseases; Male Urogenital Diseases

Intervention Hierarchy (Ancestors)

Natriuretic Agents; Physiological Effects of Drugs; Pharmacologic Actions; Chemical Actions and Uses

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: MD

Study Record Dates

• First Submitted: August 29, 2022
• First Posted: September 2, 2022
• Study Start: July 1, 2022
• Primary Completion: December 31, 2023
• Study Completion: June 30, 2024
• Last Updated: April 3, 2024

Record last verified: 2023-11

Locations

CN (1)