The Role of Renin—Angiotensin System Blockade in the Management of Hypertension Associated With the Cardiometabolic Syndrome
Bibliographic record
Abstract
The mounting epidemic of overweight and obesity has made understanding the relationship between excess weight and associated comorbidities more urgent. Obesity is one of the strongest predictors of the development of hypertension and is an independent risk factor for cardiovascular disease, renal disease, and diabetes mellitus. The concomitant presence of obesity and hypertension, as commonly occurs in the cardiometabolic syndrome, magnifies the risk for cardiovascular and renal disease. The term "obesity-hypertension" thus serves to underscore the link between these two deleterious conditions and to emphasize the imperative for clinical intervention. Adipose tissue is now known to produce hormones and cytokines that promote inflammation, lipid accumulation, and insulin resistance. In addition, adipose tissue contains all the components of the renin-angiotensin system (RAS), which is upregulated in the presence of obesity. Evidence implicates activation of the systemic and adipose tissue RAS, as well as the sympathetic nervous system, as key obesity-related mechanisms of hypertension and other components of the cardiometabolic syndrome. RAS blockade therefore becomes a potential therapeutic strategy in patients with obesity-related hypertension and in persons with the cardiometabolic syndrome. Clinical trials of angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers conducted in predominantly overweight/obese populations have demonstrated significant reductions in cardiovascular and renal disease risk among a range of at-risk patients. RAS blockade also is associated with a reduced risk of new-onset diabetes compared with other classes of antihypertensive therapy. Randomized, controlled trials conducted specifically in patients with obesity and hypertension are needed to determine the optimal therapeutic approach for these patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.003 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".