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Improvement in upright and supine lung mechanics with bariatric surgery affects bronchodilator responsiveness and sleep quality

2018· article· en· W2884558201 on OpenAlexaff
Ubong Peters, Gail Dechman, Paul Hernandez, Swati A. Bhatawadekar, James Ellsmere, Geoffrey N. Maksym

Bibliographic record

VenueJournal of Applied Physiology · 2018
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversity Health NetworkToronto Rehabilitation InstituteQueen Elizabeth II Health Sciences CentreDalhousie University
Fundersnot available
KeywordsSupine positionSpirometryMedicineRespiratory physiologyBronchodilatorWeight lossAnesthesiaLung volumesSalbutamolRespiratory systemLungInternal medicineObesityAsthma

Abstract

fetched live from OpenAlex

Obesity and weight loss have complex effects on respiratory physiology, but these have been insufficiently studied, particularly at early time points following weight loss surgery and in the supine position. We evaluated 15 female participants with severe obesity before and 5 wk and 6 mo after bariatric surgery using the Pittsburgh Sleep Quality Index (PSQI), spirometry, plethysmography, and oscillometry to measure respiratory system mechanics. Oscillometry and spirometry were conducted in the upright and supine position and before and after bronchodilation with 200 µg of salbutamol. At 5 wk postsurgery, weight loss was 11.9 kg (SD 2.7) with no effect on spirometric outcomes and a slight effect on oscillometric outcomes. However, at 6 mo weight loss was 21.4 kg (SD 7.1) with a 14.1% (SD 6.1) and 17.8 (5.4)% reduction in upright and supine respiratory system resistance (Rrs),6, respectively. Respiratory system elastance also decreased by 25.7% (SD 9.4) and 20.2 (SD 7.2)% in the upright and supine positions. No changes were observed in spirometry, but sleep quality improved from PSQI of 8.4 (SD 3.5) to 4.1 (SD 2.9). Bronchodilator responsiveness was low at baseline but increased significantly after surgery, and this response was comparable to the improvement in Rrs produced by weight loss. Modeling the impedance spectra with a two-compartment model demonstrated that improvements in lung mechanics with weight loss begin in the upper or central compartment of the lungs and progress to include the peripheral compartment. Respiratory mechanics are impaired in individuals with severe obesity and is associated with poor sleep quality, but these improved substantially with weight loss. Our data provide new evidence that individuals with severe obesity may have poor sleep quality because of abnormal respiratory mechanics that weight loss improves. NEW & NOTEWORTHY This is the first study to quantify the degree of weight loss-induced improvements in respiratory system mechanics in both upright and supine positions, and its association with bronchodilator responsiveness and sleep quality at multiple time points. Weight loss induced large improvements in upright and supine respiratory system mechanics with corresponding improvements in bronchodilator responsiveness and sleep quality. Using mathematical modeling, we demonstrate that these improvements begin in the central airways and progress to include the lung periphery.

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)0.000
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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.286
Teacher spread0.274 · 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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Citations14
Published2018
Admission routes1
Has abstractyes

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