Risk Factors and Machine Learning Model for Beta-Lactam Drugs Related Acute Kidney Injury (NCT05533606) | Clinical Trial Compass
CompletedNot Applicable
Risk Factors and Machine Learning Model for Beta-Lactam Drugs Related Acute Kidney Injury
China19,000 participantsStarted 2022-07-01
Plain-language summary
Acute kidney injury (AKI), also known as acute kidney failure (ARF), is a common and complex kidney disease in clinic and an important factor related to poor prognosis of patients in clinic. In the present study, a single-center retrospective study was conducted in our center. The clinical data of hospitalized patients received β-Lactam drugs from January 2018 to December 2020 was retrospectively analyzed. The multiple logistic regression analysis suggested that complicated with hypertension, anemia, pneumonia, shock, sepsis, heart failure, combined use of proton pump inhibitors (PPI), angiotensin-converting enzyme inhibitor (ACEI), angiotensin Ⅱ receptor antagonist (ARB) were independent risk factors for AKI related to β-Lactam drugs. In clinical practice, patients with acute kidney injury risk factors should be closely monitored for changes in their blood creatinine and urine output to avoid acute kidney injury. For patients who have suffered from acute kidney injury, the cause should be removed in time and corresponding symptomatic treatment should be given.
Who can participate
Age range
18 Years – 100 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Inclusion Criteria:
* All inpatients who used β-lactam drugs during hospitalization
* Hospital stay ≥ 48h
* Age ≥18 years
* There are two or more blood creatinine tests during hospitalization
Exclusion Criteria:
* Hospital stay \< 48h
* Age \<18 years
* Glomerular filtration rate (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
Questions worth asking your doctor
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
1Based on my diagnosis and history, is this trial worth exploring for me — or is there a standard treatment we should try first?
2What does this trial's phase tell us about how much is already known about its safety and benefit?
3What would taking part actually involve for me — visits, tests, time, and travel?
4What are the known and possible risks or side effects I should weigh, and how would they be monitored?
5If this trial isn't the right fit, what other options or trials would you suggest I look into?
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
Questions for the trial coordinator
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
What they're measuring
1
The incidence of acute kidney injury in hospitalized patients treated with β-lactam drugs
Timeframe: Through study completion，up to half a year.