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Record W2409168039 · doi:10.5603/kp.2015.0155

Can continuous positive airway pressure therapy have antiarrhythmic properties?

2015· article· en· W2409168039 on OpenAlexaboutno aff
Anna E. Płatek, Grzegorz Karpiński, Filip M. Szymański

Bibliographic record

VenueKardiologia Polska · 2015
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSinus bradycardiaBlood pressureHeart rateBradycardiaCardiologyInternal medicineAnesthesiaSinus rhythmDiabetes mellitusAtrial fibrillation

Abstract

fetched live from OpenAlex

A 61-year-old obese (body mass index 36.6 kg/m2) male with diabetes mellitus was admitted to the hospital due to an exacerbation of chronic heart failure. He had poorly controlled arterial hypertension complicated by heart muscle hypertrophy and grade III retinopathy. Arterial hypertension was treated with renal denervation in the past, but the procedure did not result in any significant improvement in blood pressure (BP) control (prior to the hospitalisation the patient was receiving four hypotensive agents, including diuretic). On admission his office BP values were 170/85 mm Hg. The patient had his BP pharmacologically lowered, and was scheduled to have 24-h electrocardiography (ECG) Holter monitoring. ECG monitoring showed sinus rhythm with a mean heart rate of 56 bpm, and numerous ventricular extrasystoles. Also 975 sinus pauses lasting less than 2.55 s were recorded. The histograms depicted in Figure 1A show an association between the number of pauses per hour and the time of day. Interestingly, the pauses and most of the episodes of bradycardia were recorded in the nighttime. Few sinus pauses were also recorded during the patient’s nap in the late evening. Because of obesity and daytime sleepiness the patient was scheduled to have a whole-night polygraph examination (Embletta® MPR PG, Ontario, Canada), along with same-time ECG monitoring. The study revealed severe obstructive sleep apnoea (OSA) with an apnoea-hypopnea index of 48.3 per hour. The apnoea episodes were in close time-association with the bradycardia episodes, and pauses were directly induced by apnoea episodes. Figure 1B depicts a fragment of the polygraph study with visible, repetitive apnoea episodes associated with desaturation. The patient received treatment with continuous positive airway pressure (auto CPAP, ResMed S9 EscapeTM). He tolerated the treatment well. The patient had good compliance — he used the CPAP for at least 5.5 h every night. After 7 and 30 nights of treatment, extended 72-h ECG monitoring was performed. This time the study showed no episodes of bradycardia with heart rate lower than 52 bpm. The number of pauses was reduced by over 90%. Modification of hypertension pharmacotherapy along with CPAP use resulted also in significant lowering of the BP values, and ambulatory BP monitoring revealed normalisation of nocturnal values, with preserved dipping profile (Fig. 2). Six months after the hospitalisation the patient is doing well, he is tolerating the CPAP treatment perfectly, has good BP control, and has not suffered any heart failure exacerbations. The present case highlights the importance of OSA in the pathogenesis of cardiac arrhythmias and resistant hypertension. OSA is associated with repetitive episodes of hypoxaemia, desaturation, and microarousals, which, along with changes in the transthoracic pressure, promotes autonomic dysregulation and cardiac arrhythmias. Figure 2. Results of ambulatory blood pressure monitoring after continuous positive airway pressure treatment Figure 1. Daytime and nighttime distribution of electrocardio gram-proven sinus pauses (A), and potentially responsible, obstructive sleep apnoea episodes recorded in the polygraph study (B) A

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0050.002

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 head0.047
GPT teacher head0.293
Teacher spread0.247 · 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".

Quick stats

Citations2
Published2015
Admission routes1
Has abstractyes

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