Primary Care Prescriptions of Potentially Nephrotoxic Medications in Children with CKD
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Pediatric CKD management focuses on limiting kidney injury, including avoiding nephrotoxic medications. Nephrotoxic medication prescription practices for children with CKD are unknown. Our objective was to determine the prevalence and rates of primary care prescriptions for potentially nephrotoxic medications in children with CKD versus without CKD. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We conducted a retrospective, matched population-based cohort study of patients aged <18 years, registered at a general practice participating in the UK Clinical Practice Research Datalink (CPRD) from 1997 to 2017. Children with a clinical code indicating an incident diagnosis of CKD were matched 1:4 to patients without CKD on CKD diagnosis date, sex, age, CPRD practice, and number of general practitioner visits in the year before cohort entry. We calculated the prevalence and the rate of potentially nephrotoxic medication prescriptions throughout the follow-up period in patients with versus without CKD. Primary analyses included the following medication classes: aminoglycosides, antivirals, nonsteroidal anti-inflammatory drugs, salicylates, proton pump inhibitors, and immunomodulators. Secondary analyses used an expanded nephrotoxicity definition that also included, among others, angiotensin-converting enzyme inhibitors and angiotensin receptor blockers. Adjusted prescription rates were calculated using multivariable binomial regression. RESULTS: From 1,535,816 eligible patients, we identified 1018 incident CKD and 4072 non-CKD matches (mean age, 9.8 years [range, 1.1-17.9 years]; 52% male; mean follow-up time, 3.3 years). Overall, 26% of patients with and 15% of patients without CKD were prescribed one or more potentially nephrotoxic medication during follow-up. The overall rate of nephrotoxic medication prescriptions was 71 (95% confidence interval [95% CI], 55 to 93) prescriptions per 100 person-years in patients with CKD and eight (95% CI, 7 to 9) prescriptions per 100 person-years in patients without CKD (adjusted rate ratio, 4.1; 95% CI, 2.7 to 6.1). CONCLUSIONS: Potentially nephrotoxic medications are prescribed at high rates to children with CKD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".