Evidence map›Paper›PMID 40994920›Full record

ArticleFrontiers in cardiovascular medicine2025

From sleep apnea to arrhythmia: p-wave parameters as non-invasive predictors.

Wenjing Lu, Ke He, Jun Zhang, Ying Deng, Shaopeng Lin, Demei Yang, Zhuojun Chen, Xinzhong Li, Xiaobo Huang

Abstract read
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Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Wenjing Lu *Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Ke He *Department of Hospital-Acquired Infection Control, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Jun Zhang *Department of Otorthinolarynglogy, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Ying DengDepartment of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Shaopeng LinDepartment of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Demei YangDepartment of Cardiology, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Zhuojun ChenDepartment of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xinzhong LiDepartment of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xiaobo HuangDepartment of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Numerous studies have confirmed a significant association between obstructive sleep apnea hypopnea syndrome (OSAHS) and both the increased prevalence and incidence of atrial fibrillation (AF). This study advanced the endpoint event to complex atrial arrhythmias, a group that potentially develops into AF. It innovatively used non-invasive P-wave parameters (PWPs) as predictive indicators for the occurrence of complex atrial arrhythmias in OSAHS, thereby achieving early identification. Methods: A retrospective analysis was performed on the medical records of patients presenting with sleep disorders who were admitted to the Fifth Affiliated Hospital of Sun Yat-sen University between June 2019 and June 2022. Based on their apnea-hypopnea index (AHI), patients were categorized into control, mild, moderate, and severe OSAHS groups. Clinical characteristics, PWPs, occurrences of atrial arrhythmias, and echocardiographic findings were collected for analysis. Using the Kleiger grading method, atrial arrhythmias were classified into simple and complex groups. Analysis of variance (ANOVA) was employed to examine differences among the groups, while independent sample Results: Patients with severe OSAHS exhibited significantly prolonged P-wave duration (PWD) and elevated Macruz Index compared to those with mild or moderate OSAHS ( Conclusion: PWPs, especially the PtfV1 and Macruz index, provide a powerful non-invasive predictor of atrial arrhythmia risk in patients with OSAHS.

Indexed as

complex atrial arrhythmiasMacruz Indexobstructive sleep apnea-hypopnea syndromeptfV1p-wave durationp-wave parameters

Identifiers

PMID40994920
PMCPMC12454416

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