PS1-06: Increased Incident Renal Disease with ACE-1 + Thiazide Therapy for Hypertension: The Geisinger Clinic Population
Bibliographic record
Abstract
Background and Aims: Thiazide diuretics are recommended alone or in combination for uncomplicated hypertension (HTN). Most patients require treatment with 2 or more drugs. Based on studies of mono-therapy, ACE-I are recommended for patients at risk of renal disease, including diabetics. Data are sparse regarding thiazide plus ACE-I combination therapy. We hypothesized that thiazide plus ACE-I is associated with a lower incidence of renal disease compared with other common thiazide combinations, but that confounding by indication for diabetes might attenuate this effect. Methods: We conducted a retrospective cohort study of thiazide combinations in a 41-site clinical practice that is the dominant provider in a large rural area. Data were extracted from an electronic medical record for all patients >60 years treated for HTN between 2001 and 2006. Patients with prevalent renal disease, or <6 months of treatment or follow-up, were excluded. Diabetes was defined as ICD9 250.* Renal disease was defined as ICD-9 codes 403.*-404.*, 593.9, 585.*-586.* or an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73m2. Incident renal disease by eGFR required >2 measurements persisting >3 months. Results: Among 4700 patients (98% Caucasian, 69% female, mean age 70 yrs, mean follow-up 32.5 months), the incidence of renal disease was 22.7%. Five drug categories accounted for 97% of thiazide combinations: ACE-I, Angiotensin Receptor Blocker (ARB), Beta-blocker (BB), Calcium Channel Blocker (CCB) and Potassium-sparing diuretic (P-S). In Cox models with ACEI + thiazide as the reference group, adjusted for age, sex, and pretreatment blood pressure, patients who used BB + thiazide (HR 0.72, 95% CI, 0.600.86) and CCB + thiazide (HR 0.72, 0.55–0.96) had significantly lower hazard ratios for incident renal disease than those who used ACE-I + thiazide. In analyses stratified on diabetes status, results were generally similar for patients with and without diabetes except for the suggestion of a greater rate of incident renal disease in patients without diabetes who used P-S + thiazide (HR 1.23, 1.01–1.49) compared with ACE-I + thiazide. Conclusions: Contrary to expectation, ACE-I with thiazide was associated with an increased incidence of renal disease compared with all other groups except potassium-sparing diuretics. This risk was significantly greater than that observed with BB. The association was not meaningfully changed by accounting for diabetes.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".