#4494 DRUG UTILIZATION FOLLOWING INCIDENT CHRONIC KIDNEY DISEASE: AN OBSERVATIONAL STUDY IN THE UNITED STATES AND JAPAN
Bibliographic record
Abstract
Abstract Background and Aims Chronic kidney disease (CKD) affects >840 million individuals worldwide and is a leading cause of morbidity and mortality. Complications include cardiorenal outcomes (e.g. end stage kidney disease and heart failure (HF)) and premature death, which may be preventable with early identification and appropriate treatment of CKD. Treatment of CKD with renin-angiotensin-system inhibitors (RASi) has been the main recommendation of guidelines in the past 20 years, but prescribing rates remain low and discontinuation rates remain high, particularly after adverse events like hyperkalaemia episodes. This study aims to describe RASi utilization following incident CKD. Method Adult patients with incident CKD in the United States (US; OPTUM Market Clarity until 31 March 2022) and Japan (Medical Data Vision until 28 February 2022) from 1 January 2016 onwards were included. CKD was defined as any of the following: a UACR measure of ≥30 mg/g, two estimated glomerular filtration rate (eGFR) ≥90 days apart of which the second was ≤75 ml/min/1.73 m2, or a CKD diagnosis code. Patients were included if they had an eGFR ≤60 ml/min/1.73 m2. Patients with ongoing RASi treatment at index, a history of diabetes, heart failure or dialysis were excluded. Results A total of 66,375 incident CKD patients were identified in the US (n = 32,158) and Japan (n = 34,217). Mean age was 66 and 78 years in the US and Japan, respectively, and about half of the patients were female. Mean eGFR was 48 and 40 ml/min/1.73 m2 in the US and Japan, respectively. Approximately 30% of patients had cardiovascular disease, but only 13% (US) and less than 5% (Japan) were prescribed cardiovascular preventive drugs (e.g. statins and low dose aspirin). During a 1-year follow-up after the incident CKD index date, only 15% and 5% had been initiated on RASi in the US and Japan, respectively (Figure 1). Time to RASi initiation was shorter among those with a CKD diagnosis vs those without a diagnosis (US: 15 vs 19 months, Japan: 6 vs 11 months). Of those who initiated treatment, approximately 50% discontinued within one year (Figure 1). Results for initiation and discontinuation were similar across CKD stages in both countries. Conclusion In the US and Japan, initiation of RASi was remarkably low among newly identified CKD patients, and discontinuation of initiated treatment was substantial. Given that most patients with CKD benefit from multi-drug therapy (RASi + SGLT2i) for slowing CKD progression and reduction of adverse events, efforts to increase prescribing and adherence are needed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".