Abstract TH158: Nitric Oxide Therapies in Hypertensive Chronic Kidney Disease: A Systematic Review of Efficacy and Mechanisms
Bibliographic record
Abstract
Introduction: Control of hypertension is often hard for people with chronic kidney disease (CKD) because nitric oxide (NO) is not available to the same extent. Giving nitrate supplements or L-arginine as targeted therapies may be a new way to lower blood pressure (BP) in hypertensive kidney disease. To this point, the effects of NO-enhancing interventions on this group have not been reviewed. We reviewed studies to investigate NO-based approaches for reducing BP in patients with CKD and hypertension. Hypothesis: Treatment of CKD patients with resistant hypertension will provide greater benefits if NO is restored in personalized and time-restricted ways, following their individual NO patterns at times of natural NO reduction in the body. Methods: Using PRISMA guidelines, we included clinical studies from hypertensive CKD groups that studied nitric oxide donor or precursor therapeutics. The analysis included 5 randomized controlled trials and 6 observational studies. Treatments provided included inorganic nitrate, amino acid precursors of NO, and various strategies to increase NO levels. We looked at changes in blood pressure, the function of blood vessel walls, and kidney markers as the main outcomes. The Cochrane Risk of Bias tool was used to judge the quality of randomized controlled trials, and Newcastle-Ottawa Scale was used for observational studies. Results: Most of the NO-enhancing treatments tested minimally reduced CKD patients' BP. In some small RCTs, people taking nitrate from beetroot juice or L-arginine experienced lower BP and better endothelial function markers than the control participants. According to observational studies, having more NO bioavailability leads to betterBP and a slower development of kidney disease, though other factors may affect the results. The research was of moderate value; specialized studies still had limited participants. However, the results showed the same trend, and observational work showed the reasons behind NO's role in widening blood vessels. Conclusions: The findings in this systematic review fill a gap by showing evidence that regulating nitric oxide signaling can help control BP in CKD patients. What's unique about these discoveries is how they look at patients with severe hypertension who have less NO. Although our results are inconclusive, non-targeted therapies could be helpful for patients with hypertensive CKD, requiring careful testing in larger studies to confirm both safety and effectiveness.
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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 | 0.017 | 0.052 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.010 |
| Bibliometrics | 0.010 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".