ArticleScientific reports2024
A nationwide study on new onset atrial fibrillation risk factors and its association with hospital mortality in sepsis patients.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- Rethinking rate-related myocardial injury in sepsis: atrial fibrillation, heart rate, cardiac troponin T and long-term mortality.Open heart · 2026Article
- A Simple Admission-Based Score for Early Mortality Risk Stratification in Non-Shock Sepsis: A Pilot Study.Diagnostics (Basel, Switzerland) · 2026Article
- The cumulative incidence of atrial fibrillation in the hospitalized medical patient: a systematic review and meta-analysis.European heart journal open · 2026Review
- Development of an interpretable machine learning model for predicting new-onset atrial fibrillation in patients with sepsis-associated acute kidney injury: A retrospective cohort study.Science progress · 2026Article
- Influencing Factors of New-Onset Atrial Fibrillation in Sepsis Patients and Construction of a Nomogram Prediction Model: Based on LASSO Regression.International journal of general medicine · 2026Article
- Sepsis-induced Atrial Fibrillation: Can We Predict and Prevent This High-Risk Complication?Cureus · 2025Review
- Mitochondria at the Heart of Sepsis: Mechanisms, Metabolism, and Sex Differences.International journal of molecular sciences · 2025Review
- Beyond the Beat: A Multifaceted Review of Atrial Fibrillation in Sepsis: Risk Factors, Management Strategies, and Economic Impact.Cardiology research · 2025Review
- Development and Validation of a Risk Prediction Model for New-Onset Atrial Fibrillation in Sepsis.International journal of general medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Atrial fibrillation (AF) is the most common arrhythmia and its incidence increases with sepsis. However, data on new-onset AF during sepsis hospitalization remain limited in China. We aimed to evaluate the incidence, risk factors, and associated mortality of new-onset AF in sepsis patients in China. We conducted a retrospective study using the National Data Center for Medical Service system, from 1923 tertiary and 2363 secondary hospitals from 31 provinces in China from 2017 to 2019.In total we included 1,425,055 sepsis patients ≥ 18 years without prior AF. The incidence of new-onset AF was 1.49%. Older age, male sex, hypertension, heart failure, coronary disease, valvular disease, and mechanical ventilation were independent risk factor. New-onset AF was associated with a slight increased risk of mortality (adjusted RR 1.03, 95% CI 1.01-1.06). Population attributable fraction suggested AF accounted for 0.2% of sepsis deaths. In this large nationwide cohort, new-onset AF occurred in 1.49% of sepsis admissions and was associated with a small mortality increase. Further research should examine whether optimized AF management can improve sepsis outcomes in China.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.