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Record W4415434195 · doi:10.1093/ndt/gfaf116.1344

#3254 Effect of dapagliflozin on arterial stiffness and cognitive impairment in patients with chronic kidney disease

2025· article· en· W4415434195 on OpenAlexaboutno aff
Anastasia Vagkopoulou, Ioannis Ventoulis, Ioannis Tsimoulas, Iraklis Ioannidis, Eftixia Polizogopoulou, Evaggelia Papadopoulou, Dimitrios Makridis, Rigas Kalaitzidis, Evangelia Ntounousi, Despoina Karasavvidou

Bibliographic record

VenueNephrology Dialysis Transplantation · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsArterial stiffnessBlood pressureKidney diseasePulse pressurePerindoprilDapagliflozinPulse wave velocity

Abstract

fetched live from OpenAlex

Abstract Background and Aims Sodium-glucose cotransporter-2 (SGLT2) inhibitors are a new class of antidiabetic agents that inhibit reabsorption of glucose and sodium in the proximal convoluted tubule. Many clinical studies have demonstrated their cardioprotective and nephroprotective effects in patients with chronic kidney disease (CKD). However, data regarding their effects on arterial stiffness and cognitive function remain rather limited. Method We studied 24 consecutive patients with CKD (stages 1–4), in whom dapagliflozin, 10mg once daily, was added to their therapeutic regimen. Their blood pressure was controlled by using perindopril and amlodipine, with appropriate dose adjustments when necessary. The patients were followed for a period of 3 months. Arterial stiffness was measured by means of pulse wave velocity (PWV) with the use of SphygmoCor Cardiovascular Management System (CVMS; AtCor Medical Pty Ltd, Sydney, New South Wales, Australia). Meanwhile, central arterial pressure waveforms were recorded. Concurrently, the Montreal Cognitive Assessment (MoCA) test was administered to evaluate the patients' cognitive function both at baseline and after 3 months of treatment with dapagliflozin. Baseline patient characteristics are presented in Table 1. Results At 3-month follow-up, there was a significant reduction in peripheral systolic blood pressure (pSBP) compared to baseline (129.83 vs 140.91 mmHg respectively, P < 0.001), in peripheral diastolic blood pressure (pDBP) (69.87 vs 77.58 mmHg, P < 0.001), in central systolic blood pressure (cSBP) (146.20 vs 156.25 mmHg, P < 0.001), and in central diastolic blood pressure (cDBP) (82.04 vs 89.58 mmHg, P = 0.007) (Table 2). Dapagliflozin administration also resulted in a statistically significant decrease in PWV by 1.457 (P < 0.001). Additionally, it was observed that increased values of arterial stiffness were associated with worse patient performance on the MoCA test (P = 000). After 3 months of dapagliflozin treatment, a statistically significant improvement by 1.33 was evident in the MoCA test performance (MOCA at baseline 1.54, at 3 months 1.13. (P < 0.001). Conclusion In our small cohor of patients with stage 1-4 CKD, the addition of 10 mg of dapagliflozin seems to cause reductions in both arterial stiffness and blood pressure over a period of 3-month treatment. During the same time interval, dapagliflozin seems to improve cognitive function, as evidenced by improvement in the MoCA test performance. Further studies of longer duration and of larger sample sizes are warranted in order to validate these initial promising observations.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.005
GPT teacher head0.232
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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