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Abstract 13856: Ventricular Remodeling and the Effect of Continuous Positive Airway Pressure in Patients With Combined Diabetes Mellitus and Obstructive Sleep Apnea: A Secondary Analysis of a Randomized Clinical Trial

2022· article· en· W4380795082 on OpenAlexaff
Thiago Q Silva, Jessie P. Bakker, Dimitrios Baltzis, Raymond H. Chan, Warren J. Manning, Meredith L. Wallace, Carlos A. Gongora, Hannah Gilman, Supraja Sama, Sofia Nikolaidou, Andrei C. Spósito, Otávio R. Coelho‐Filho, Margo Hudson, Michael Jerosch‐Herold, Aristidis Veves, Atul Malhotra, Sanjay Patel, Tomas G. Neilan

Bibliographic record

VenueCirculation · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and Diving-Related Complications
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineObstructive sleep apneaContinuous positive airway pressureInternal medicineType 2 Diabetes MellitusPositive airway pressureCardiologySleep apneaDiabetes mellitusRandomized controlled trialBody mass indexVentricular remodelingPlaceboHeart failureEndocrinologyPathology

Abstract

fetched live from OpenAlex

Introduction: Type 2 diabetes mellitus (T2DM) and obstructive sleep apnea (OSA) are independently associated with adverse left (LV) and right (RV) ventricular remodeling. However, the effect of continuous positive airway pressure (CPAP) is unknown. Hypothesis: CPAP prevents adverse remodeling in T2DM+OSA overlap. Methods: In this prospective study, 141 participants (Control: 28; T2DM only: 27; OSA only: 29; T2DM+OSA: 57) were recruited and underwent home sleep testing and cardiac magnetic resonance. Subsequently, 53 adults from the T2DM+OSA group were enrolled in a 3-month, parallel-arm, randomized, placebo-controlled trial comparing active and sham CPAP. The measures of interest were LV and RV remodeling indices (mass/volume). Kruskal-Wallis for multiple groups and Wilcoxon rank-sum and signed-rank tests for paired samples for two groups were applied. Results: Groups were of similar sex [Control (males): 54%; T2DM: 44%; OSA only: 52%; T2DM+OSA: 65%; p=0.31)]; OSA and T2DM+OSA participants were older (age in years: 46± 15; 51±7.8; 53±10; 56±9.1* # ; respectively p=0.001; *p<0.05 vs. control, # p<0.05 vs. T2DM only) and had higher BMI (29.8±6.3; 31±4.8; 34±6.3*; 35.2±6.6* # kg/m 2 , respectively p=0.001). At baseline, LV remodeling index (g/ml) was higher in T2DM+OSA (0.67±0.12; 0.71±0.10; 0.75±0.13; 0.78±0.16*; respectively, p=0.01), whereas RV remodeling index was similar (0.19±0.03; 0.20±0.03; 0.20±0.03; 0.21±0.04; p=0.33). The difference in LV remodeling index persisted after adjustment for age, sex and BMI (p<0.001). CPAP treatment over 3 months prevented progression of adverse LV remodeling compared with sham [difference: CPAP: -0.01 (-0.08, 0.08) g/ml; sham: 0.11 (-0.03, 0.17) g/ml; p=0.03)] but not of RV remodeling index [difference: CPAP: 0.01 (-0.04, 0.08) g/ml; sham: 0.003 (-0.02, 0.04) g/ml; p=0.82)]. Conclusion: T2DM and OSA increased adverse LV but not RV remodeling. CPAP prevented the progression of adverse LV but not RV remodeling.

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.001

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.

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 designMeta-analysis
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
Published2022
Admission routes1
Has abstractyes

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