Evidence map›Paper›PMID 35455070›Full record

ArticleLife (Basel, Switzerland)2022

Prognostic Impact and Predictors of New-Onset Atrial Fibrillation in Heart Failure.

Hyo-In Choi, Sang Eun Lee, Min-Seok Kim, Hae-Young Lee, Hyun-Jai Cho, Jin Oh Choi, Eun-Seok Jeon, Kyung-Kuk Hwang, Shung Chull Chae, Sang Hong Baek and 7 more

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

17 authors at 10 institutions in 1 country.

Hyo-In ChoiDivision of Cardiology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 03181, Korea.ORCID 0000-0002-6216-0873
Sang Eun LeeDivision of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea.
Min-Seok KimDivision of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea.
Hae-Young LeeDivision of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul 03080, Korea.ORCID 0000-0002-9521-4102
Hyun-Jai ChoDivision of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul 03080, Korea.
Jin Oh ChoiDivision of Cardiology, Department of Internal Medicine, Sungkyunkwan University College of Medicine, Seoul 06351, Korea.
Eun-Seok JeonDivision of Cardiology, Department of Internal Medicine, Sungkyunkwan University College of Medicine, Seoul 06351, Korea.
Kyung-Kuk HwangDivision of Cardiology, Department of Internal Medicine, Chungbuk National University College of Medicine, Cheongju 28644, Korea.
Shung Chull ChaeDivision of Cardiology, Department of Internal Medicine, Kyungpook National University College of Medicine, Daegu 41944, Korea.
Sang Hong BaekDivision of Cardiology, Department of Internal Medicine, The Catholic University of Republic of Korea, Seoul 03083, Korea.ORCID 0000-0002-7065-3432
Seok-Min KangDivision of Cardiology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea.
Dong-Ju ChoiDivision of Cardiology, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
Byung-Su YooDivision of Cardiology, Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Korea.ORCID 0000-0002-3395-4279
Kye Hun KimHeart Research Center, Chonnam National University, Gwangju 61469, Korea.ORCID 0000-0002-6885-1501
Myeong-Chan ChoDivision of Cardiology, Department of Internal Medicine, Chungbuk National University College of Medicine, Cheongju 28644, Korea.ORCID 0000-0002-0047-0227
Byung-Hee OhDivision of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul 03080, Korea.
Jae-Joong KimDivision of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea.
Seoul National University Hospital · KRUlsan College · KRChungbuk National University · KRSungkyunkwan University · KRYonsei University · KRCatholic University of Korea · KRChonnam National University · KRKangbuk Samsung Hospital · KRKyungpook National University · KRSeoul National University Bundang Hospital · KR

Funding

Korea Disease Control and Prevention Agency 2016-ER6303-00Ministry of Health and Welfare HR21C0198
6 · The paper itself

Abstract

Background: The prognostic impact and predictors of NOAF in HF patients are not fully elucidated. This study aims to determine whether new-onset atrial fibrillation (NOAF) affects patient outcome and investigate predictors of atrial fibrillation (AF) in acute heart failure (HF) patients using real-world data. Methods: The factors associated with NOAF in 2894 patients with sinus rhythm (SR) enrolled in the Korean Acute Heart Failure (KorAHF) registry were investigated. Survival was analyzed using AF as a time-dependent covariate. Relevant predictors of NOAF were analyzed using multivariate proportional hazards models. Results: Over 27.4 months, 187 patients developed AF. The median overall survival time was over 48 and 9.9 months for the SR and NOAF groups, respectively. Cox regression analysis with NOAF as a time-dependent covariate showed a higher risk of death among patients with NOAF. Multivariate Cox modeling showed that age, worsening HF, valvular heart disease (VHD), loop diuretics, lower heart rate, larger left atrium (LA) diameter, and elevated creatinine levels were independently associated with NOAF. Risk score indicated the number of independent predictors. The incidence of NOAF was 2.9%, 9.4%, and 21.8% in the low-risk, moderate-risk, and high-risk groups, respectively (p < 0.001). Conditional inference tree analysis identified worsening HF, heart rate, age, LA diameter, and VHD as discriminators. Conclusions: NOAF was associated with decreased survival in acute HF patients with SR. Age, worsening HF, VHD, loop diuretics, lower heart rate, larger LA diameter, and elevated creatinine could independently predict NOAF. This may be useful to risk-stratify HF patients at risk for AF.

Indexed as

atrial fibrillationheart failuremortalityregistriesrisk factors

Identifiers

PMID35455070
PMCPMC9025044
OpenAlexW4224018058

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.