Effect of Combined Antihypertensive Therapy With Perindopril and Indapamide on Morpho-Functional Parameters of The Heart, Blood Vessels of Small and Medium Caliber in Patients With Essential Hypertension
Bibliographic record
Abstract
AIM: to study effect of therapy with fixed combination of angiotensin-converting enzyme infibitor and diuretic on structural-functional parameters of the heart and vessels and cognitive function. MATERIAL AND METHODS: We included into this study 30 patients (20 women) with mean age 60.06+/-10.19 years, duration of hypertensive disease 14.7 (3; 32) years, body mass index 31.19+/-3.93 kg/m2, and without history of cerebrovascular diseases. Methods of investigation included clinical examination, measurement of parameters of hemodynamics, electro- and echocardiography. Vascular endothelial function and structural - functional state of finger skin capillary network was studied by photopletismography and video capillaroscopy, respectively. The state of cognitive sphere was evaluated with the help of the Montreal Cognitive Assessment (MoCA) test. RESULTS: We noted improvement of endothelial function of middle caliber arteries and microcirculatory vascular bed (MCVB) (increase of occlusion index at the level of MCVB from 1.4 to 1.8, p<0.00005; increase of density of skin capillary network at rest from 45 to 52 kap/2, p<0.00007); improvement of cognitive function according to changes of MoCA test results (from 23 to 27, p<0,0001). There were no changes of lipid and carbohydrate metabolism, and electrolyte balance. Conclision. The use of fixed of perindopril+indopamide is combination characterized by good tolerability and high results.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".