Influence of cardiac dysfunction and systemic inflammation on pulmonary function and airway responsiveness in obese subjects
Bibliographic record
Abstract
PURPOSE: Obesity is associated with left ventricular diastolic dysfunction and altered heart rate variability, as well as pulmonary dysfunction. The relationship between asthma and cardiac dysfunction in severely obese subjects is unknown, although it has been hypothesized that cardiac dysfunction may contribute to increase airway hyper-responsiveness (AHR). This study aimed to determine if AHR is associated with left ventricular diastolic dysfunction and heart rate variability in severely obese subjects. METHODS: Sixty-one subjects with severe obesity (BMI ≥35 kg/m2 with comorbidities) completed this study. All subjects completed respiratory questionnaires, spirometry, lung volume measurements, methacholine inhalation test, 24hour Holter monitoring and a complete echocardiography evaluation. Blood samples were obtained for measurement of metabolic markers. Subjects with AHR, defined by a provocative concentration of methacholine inducing a 20% fall in FEV1 (PC20) < 8 mg/ml, were compared with those with no AHR (PC20 ≥8 mg/ml). RESULTS: According to these criteria, 32 subjects had AHR and 29 had no AHR(mean PC201.70 mg/ml and 15.3 mg/ml respectively, p < 0.001). The groups were similar for anthropometric data and comorbidities. Fasting glucose, Hb1Ac, total cholesterol, LDL, triglycerides, Apo-B, C-reactive protein (CRP) and pro-BNP levels were also comparable between groups (p > 0.05). CRP level correlated with PC20 (AHR, r=0.38, p=0.03). Indices of heart rate variability and overall cardiac function were similar in subjects with or without AHR but grade 2 left ventricular diastolic dysfunction was more prevalent in subjects with AHR (p=0.037). CONCLUSIONS: Altered cardiac function, dysglycemia and dyslipidemia do not seem to be significantly associated with AHR in severely obese subjects in contrast to systemic inflammation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".