Evidence map›Paper›PMID 29460195›Full record

ArticleSleep & breathing = Schlaf & Atmung2018

High risk for obstructive sleep apnea hypopnea syndrome predicts new onset atrial fibrillation after cardiac surgery: a retrospective analysis.

Samir V Patel, Harmeet Gill, Diwas Shahi, Ajai Rajabalan, Palak Patel, Rajesh Sonani, Parth Bhatt, Rafael David Rodriguez, Manuel Bautista, Abhishek Deshmukh and 2 more

Open access · greenAbstract read
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
0.5field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 9 institutions in 1 country.

Samir V PatelDepartment of Medicine, Sparks Health Systems, Fort Smith, AR, USA. samir.drsam@gmail.com.
Harmeet GillDepartment of Medicine, Western Reserve Health Education/NEOMED, Youngstown, OH, USA.
Diwas ShahiDepartment of Medicine, Western Reserve Health Education/NEOMED, Youngstown, OH, USA.
Ajai RajabalanDepartment of Medicine, Western Reserve Health Education/NEOMED, Youngstown, OH, USA.
Palak PatelDepartment of Health Sciences, Massachusetts College of Pharmacy and Health Sciences, Manchester, NH, USA.
Rajesh SonaniDepartment of Medicine, Brandon Regional Medical Center, Brandon, FL, USA.
Parth BhattDepartment of Pediatrics, Texas Tech Health Sciences Center, Amarillo, TX, USA.
Rafael David RodriguezDepartment of Medicine, Western Reserve Health Education/NEOMED, Youngstown, OH, USA.
Manuel BautistaDepartment of Medicine, Western Reserve Health Education/NEOMED, Youngstown, OH, USA.
Abhishek DeshmukhDepartment of Cardiology, Mayo Clinic, Rochester, MN, USA.
Juan Viles GonzalezDepartment of Cardiology, Tulane University, New Orleans, LA, USA.
Sanjay PatelDepartment of Pulmonary and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Northeast Ohio Medical University · USUniversity of Pittsburgh · USWestern Reserve Hospital · USMayo Clinic in Arizona · USMCPHS University · USPalmetto Health Richland · USRegional Medical Center · USTexas Tech University Health Sciences Center · USTulane University · US

Funding

Mentored Patient Oriented Research in Sleep and Metabolic DiseaseK24HL127307 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PATEL, SANJAY R · 2015 to 2019
$582k
NHLBI NIH HHS K24 HL127307
6 · The paper itself

Abstract

purposeObstructive sleep apnea hypopnea syndrome (OSAHS) is highly prevalent in patients undergoing coronary artery bypass surgery (CABG). OSAHS is a risk factor for the development of atrial fibrillation (AF), but the risk of AF in patients who are high risk for OSAHS is unclear.

methodsA retrospective study was conducted on consecutive patients undergoing CABG from 2013 to 2015 without AF pre-operatively. Patients were categorized as low risk for OSAHS, high risk for OSAHS, or diagnosed OSAHS based on medical records review. All diagnosed OSAHS patients were on active treatment with positive airway pressure. Outcomes assessed were postoperative AF (POAF), postoperative length of stay, re-intubation, in-hospital mortality, and cost of hospitalization.

resultsOut of 209 eligible patients, 66.5% were low-risk for OSAHS, 18.7% high-risk for OSAHS, and 14.8% diagnosed/treated for OSAHS. POAF developed in 96 patients (45.9%) with greater frequency in high-risk OSAHS patients (69.2% high risk, 41.9% low risk, 40.3% diagnosed/treated, p = 0.01). In analyses adjusted for age, sex, ethnicity and comorbidities, high risk for OSAHS was associated with 2.9 greater odds (95% CI [1.2, 7.3], p = 0.02) for POAF while diagnosed/treated OSAHS was not associated with elevated risk (OR = 1.4, 95% CI [0.6, 3.6], p = 0.50) compared to patients at low risk for OSAHS.

conclusionsHigh risk for OSAHS is an independent predictor for POAF in patients undergoing CABG. In contrast, patients diagnosed and treated for their OSAHS are not at elevated risk of POAF. These findings support evaluation of a standardized OSAHS screening and treatment program as part of the pre-operative evaluation for elective CABG.

Indexed as

Coronary Artery BypassSeverity of Illness IndexAtrial FibrillationCoronary Artery DiseaseFemaleHumansMalePostoperative ComplicationsPrognosisRetrospective StudiesRisk FactorsSleep Apnea, ObstructiveAtrial fibrillationCoronary artery bypass graft surgeryCostLength of stayMortalityScreeningSleep apnea

Identifiers

PMID29460195
PMCPMC7778827
OpenAlexW2788664322

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.