bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictors of new-onset in-hospital atrial fibrillation in 122 089 patients admitted with COVID-19: an Australian statewide population study
Authors: Ne J Y A , Chow C , Chow V , Hyun K , Kritharides L , Brieger D , Ng A 
Published: October 2024

Abstract

Background
New-onset atrial fibrillation (AF) when encountered in COVID-19 patients may be associated with increased mortality and thromboembolic events. Few studies have investigated predictors of new-onset AF in the context of COVID-19 and no study has assessed the utility of CHA2DS2VASc score in predicting new-onset AF in COVID-19 patients.

Purpose
This study aims to identify independent predictors of new-onset in-hospital AF in patients admitted with COVID-19.

Methods
Patients admitted with COVID-19 (1-Jan-2020 to 30-Sept-2021) were identified from the Admitted-Patient-Data-Collection database in an Australian state, stratified by AF status (no-AF vs new-AF during index COVID-19 admission) and followed-up until 31-Mar-2022. Patients with prior-AF were excluded from analysis. New-AF was defined as new-onset AF during the hospital admission for COVID-19. Independent predictors of new-AF were identified using multivariable logistic regression. Receiver Operating Characteristic (ROC) derived Area Under Curve (AUC) score was performed to determine the predictive power of independent predictors of new-AF.

Results
The cohort comprised 122089 COVID-19 patients (median age 62.7 yrs; 48.5% males) of whom 5140 developed new-AF (4.2%). Compared to patients with no-AF, patients with new-AF had a higher prevalence of comorbidities and cardiac risk factors (hypertension, diabetes and smoking) as well as a higher CHA2DS2VASc score (p &lt; 0.001) (Table 1). Independent predictors of new-AF included referral from Emergency Department (adjusted odds ratio [aOR] =1.63, 95% confidence interval [CI]=1.49-1.78, intensive-care-unit admission (aOR=3.46, 95%CI=3.22-3.71), current/ex-smoker (aOR=1.20, 95%CI=1.12-1.27), prior coronary revascularization (percutaneous coronary intervention or coronary artery bypass graft surgery) (aOR=1.33, 95%CI=1.01-1.75), valvular heart disease (aOR=3.20, 95%CI=2.73-3.75), malignancy (aOR=1.15, 95%CI=1.02-1.29), chronic pulmonary disease (aOR=1.30, 95%CI=1.19-1.42) and higher CHA2DS2VASc score (per-1-score increase: aOR=1.62, 95%CI=1.59-1.65) (all P&lt;0.05). CHA2DS2VASc score alone had an AUC score of 0.729 (95%CI=0.72-0.74) (Figure 1). Adding the above additional independent variables to CHA2DS2VASc score improved the predictive model to an overall AUC score of 0.773 (95%CI=0.77-0.78), p &lt; 0.001.

Conclusions
This study identified patients at risk of developing new-AF in the setting of COVID-19 infection. Our multivariable logistic regression analysis that included CHA2DS2VASc score has a relatively good predictive value and if confirmed in other COVID-19 cohorts, may be used to identify patients in whom antiarrhythmic and more aggressive thromboprophylactic strategies can be considered.
Body mass index may alter cardiovascular outcomes in patients with newly-diagnosed atrial fibrillation and previous stroke: an interaction analysis using longitudinal data from the GLORIA-AF registry
Authors: Lam S H M , Romiti G F , Olshansky B , Chao T F , Huisman M V , Lip G Y H 
Published: October 2024

Abstract

Background
Patients with new onset atrial fibrillation (AF) and previous stroke (PS) are at higher risk of cardiovascular (CV) outcomes. An obesity paradox, where overweight or obese patients have better outcomes, has been seen. Whether body mass index (BMI) modify the risks of cardiovascular (CV) events and mortality in AF patients with PS remains uncertain.

Purpose
To ascertain whether BMI of AF patients with PS events alters risks of CV outcomes.

Methods
A cohort from phase III of the prospective GLORIA-AF (Global Registry on Long-Term Oral Anti-thrombotic Treatment in Patients With Atrial Fibrillation) was included. Risks of Major Adverse Cardiovascular Events (MACE), CV death, and all-cause mortality were analysed using COX proportional hazard regression with interaction terms added between PS and the BMI characteristics.

Results
Data from 17482 patients [median age: 71.0 (IQR: 64.0–78.0) years; 45.3% female] with newly-diagnosed AF were analysed and included in risk models. At baseline, 1840 (10.5%) patients with AF had PS in which 1694 (9.7%) and 170 (0.97%) patients had one (1 PS) and ≥2 (2 PS) respectively. After a median follow-up of 3.0 (IQR: 2.9–3.1) years, 1111 MACE, 562 CV deaths, and 1266 all-cause deaths were recorded.
In a multivariate COX regression model, interaction between BMI and PS was significant in predicting risk of CV death (Pint =0.019). BMI was also associated with increased risk of CV death among AF patients with ≥1 PS. The interaction between PS and BMI was borderline significant in predicting MACE (Pint=0.063) and all-cause death (Pint=0.057). Figure 1 showed the different risks associated with different BMI statuses.

Conclusion
The risks of adverse CV outcomes were higher in AF patients with higher BMI and previous stroke. An obesity paradox was not evident in AF patients with previous stroke.Figure 1
Diabetes mellitus and adverse clinical events in patients with atrial fibrillation: implications of insulin treatment: a report from the GLORIA-AF Registry Phase III
Authors: Liu Y , Chen Y , Lam S H M , Huang B , Chao T F , Olshansky B , Huisman M , Lip G Y H 
Published: October 2024

Abstract

Background
Atrial Fibrillation (AF) and diabetes mellitus (DM) are both associated with adverse clinical events, but the associations has not been fully elucidated, especially in relation to insulin use.

Purpose
To analyze the associations between DM and the risk of clinical adverse events in patients with AF, and second, explore the impact of insulin treatment in these patients.

Methods
We studied patients with AF from the prospective Global Registry on Long-Term Oral Anti-Thrombotic Treatment in Patients with Atrial Fibrillation (GLORIA-AF) registry with 3-years follow-up. Clinical events included all-cause death, major bleeding, myocardial infarction (MI), stroke, thromboembolism (TE), and major adverse cardiovascular events (MACE). MACE was defined as a composite of stroke, MI and major bleeding. Kaplan-Meier curves were used to estimate the cumulative incidence of clinical events. Multivariable cox regression models with subgroups were used to estimate the association between DM and the risk of mortality and clinical events.

Results
A total of 15,861 AF patients were included (mean age 70.00 ± 10,21 years old; 55% male, 20% Asia), of which 3,666 had DM (mean age 70.04 ± 9.54 years old; 59% male, 21% Asia). Kaplan-Meier curves showed that AF patients with DM had higher cumulative hazard of all outcomes, including all-cause death (OR: 1.56, 95%CI: 1.38-1.77), CVD (OR: 1.72, 95%CI: 1.44-2.06), major bleeding (OR: 1.4, 95%CI: 1.17-1.67), stroke (OR: 1.29, 95%CI: 1.04-1.61), TE (OR: 1.26, 95%CI:1.02-1.56), MI (OR: 1.88, 95%CI: 1.48-2.39) and MACE (OR: 1.61, 95%CI: 1.41-1.84). After adjustment by prior disease and drugs, the outcomes of stroke (OR: 1.19, 95%CI: 0.95-1.49) and TE (OR: 1.22, 95%CI: 0.98-1.52) showed not significant. Subgroup analysis found that increased risks of stroke were found in female (OR: 1.43, 95%CI: 1.03-1.98, Pinteraction = 0.062) and non-Asian patients (OR: 1.39, 95%CI: 1.06-1.82, Pinteraction = 0.175) with DM. For all cause death, subgroup results were similar with overall patients. In addition, insulin use increased the risk of all cause death (OR: 1.82, 95%CI: 1.45-2.29), CVD (OR: 1.70, 95%CI: 1.22-2.37), major bleeding (OR: 1.54, 95%CI: 1.08-2.18), MI (OR: 1.72, 95%CI: 1.12-2.64), MACE (OR: 1.65, 95%CI: 1.28-2.11) in patients with AF and DM. Multivariable model showed similar result.

Conclusions
DM was independently associated with higher risk of all-cause death, CVD, MI, major bleeding, and MACE in patients with AF. Insulin use was associated with higher risk of all-cause death, CVD, MI, major bleeding, and MACE in patients with AF and DM.Figure 1Figure 2
Temporal and age-related trends in risk factors for development of atrial fibrillation in peripartum patients
Authors: Yu E , Ali B A , Mehta N K M , Karim S K 
Published: October 2024

Abstract

Background
Incidence of atrial fibrillation (AF) in pregnancy has steadily increased over the past two decades and may be related to changes in rates of AF risk factors.

Objective
To characterize trends in the prevalence of AF risk factors among patients with peripartum AF.

Methods
TrinetX, a large national healthcare database, was used to identify patients with peripartum AF from 2017-2022. Inclusion criteria were female patients aged &gt;18 years old who received a diagnosis of AF within one month prior to and one year after a diagnosis of pregnancy. Annual prevalence of pre-existing AF risk factors, including diabetes, chronic kidney disease (CKD), obesity, and hypertension, were obtained, normalized to the annual number of peripartum AF cases, and followed. In a second analysis, student’s t-test and standardized mean difference were used to compare the rates of AF risk factors between patients with peripartum AF and pregnant patients with no history of AF within the same time frame. Comparisons were performed across age ranges.

Results
From 2017-2022, there were 6,465 patients with peripartum AF and 2,852,348 pregnant patients with no AF. There was an increase in the proportion of peripartum AF patients with pre-existing obesity (16.7% to 18.5%) and hypertension (28.9% to 33.7%). In comparing pregnant patients with no AF history with peripartum AF patients, the standardized mean difference for rates of all risk factors increased with age group. The peripartum AF group had significantly higher rates of all risk factors across all age groups (p &lt; 0.0001 for all groups).

Conclusion
Rates of pre-existing obesity and hypertension increased among patients with peripartum AF, which could be a factor in increasing rates of peripartum AF. Differences in rates of AF risk factors between peripartum AF patients and pregnant patients with no AF were more pronounced at older age groups.
Polygenic risk score for prediction of atrial fibrillation according to presence of the hypertrophic cardiomyopathy
Authors: Lee Y , Yang P , Jang E , Kim D , Yu H T , Kim T H , Uhm J S , Sung J H , Pak H N , Lee M H , Kim J B , Joung B 
Published: October 2024

Abstract

Background
The significance of genetic predisposition in predicting atrial fibrillation (AF) is well recognized, yet its role in hypertrophic cardiomyopathy (HCM) patients remains less clear.

Objective
In this study, we aimed to elucidate the impact of genetic risk on the development of AF in both HCM and non-HCM patients.

Methods
This retrospective analysis examined 1,180 HCM patients (mean age 61.1±7.1, 63.0% male) and 476,238 non-HCM patients (mean age 57.0±8.1, 45.3% male) from the UK Biobank. Participants were stratified based on their validated polygenic risk score (PRS) for AF: the bottom 10% constituted the low genetic risk group, the top 10% comprised the high genetic risk group, and the remainder fell into the intermediate genetic risk group. We assessed the incidence of AF and major cardiovascular events and analyzed predictors, including genetic risk.

Results
Among HCM patients, no significant differences in baseline characteristics were observed based on genetic risk, except for the rate of CIED implantation (P=0.036). Conversely, among non-HCM patients, variations in age, gender, and comorbidities were noted according to genetic risk. The HCM patients were categorized into three groups based on risk, with respective AF incidence rates of 2.4, 3.6, and 5.4 events per 100 person-years, respectively. In non-HCM patients, the incidence of AF per 100 person-years was 0.2, 0.5, and 1.0, respectively. Genetic risk emerged as a significant predictor of AF in both HCM and non-HCM patients, although with a higher hazard ratio observed in non-HCM patient (HR, 2.51; 95% CI, 1.59–3.98 vs. HR, 4.77; 95% CI, 4.47–5.09) (P=0.003 for interaction). In non-HCM patients, predictors of AF included age, male sex, body mass index, smoking history, and a history of hypertension, diabetes, heart failure, stroke, and myocardial infarction, in addition to PRS. However, in HCM patients, only age, diabetes, and a history of stroke were identified as independent predictors of AF. Moreover, high genetic risk was significantly associated with the risk of major adverse cardiovascular events.

Conclusions
In conclusion, our study indicates associations between genetic predisposition and AF occurrence in both HCM and non-HCM patients.
Proteinuria and the risk of incident atrial fibrillation according to diabetes stage in patients with diabetes: a nationwide population-based cohort study
Authors: Yeo M , Lee S R , Choi E K , Choi J M , Lee K Y , Kim B S , Ahn H J , Han K D , Lip G Y H 
Published: October 2024

Abstract

Background
Proteinuria and diabetes mellitus (DM) are established cardiovascular risk factors, both independently associated with an increased risk of atrial fibrillation (AF). Despite previous findings correlating proteinuria amount with incident AF, regardless of DM diagnosis, the nuanced association at different stages of DM warrants further investigation.

Purpose
This study aimed to delve into and compare the relationship between proteinuria amount and the risk of incident AF in patients across various stages of DM.

Methods
A cohort of 3,866,428 individuals without prior AF and type 1 DM, who underwent the 2009 health checkup provided by the National Health Insurance Service in Korea, were categorized into five DM stages: normal, prediabetes, new-onset DM, early DM (diagnosed &lt; 5 years), and late DM (diagnosed ≥ 5 years). Proteinuria was graded using the urine dipstick test, ranging from negative to 3+ or more. AF incidence was tracked until December 31, 2020.

Results
The cohort, with an average age of 47.0 ± 13.9 years and 45.4% females, demonstrated escalating annual AF incidence rates from 1.90 to 6.45 per 1000 person-years across DM stages (p&lt;0.001) (Figure). Similarly, the rates increased from 2.28 to 7.28 per 1000 person-years by proteinuria levels (p&lt;0.001) (Figure). Adjusted Cox regression models revealed a heightened risk of incident AF associated with higher proteinuria amounts in all DM stages (adjusted hazard ratios for urine dipstick 3+ or more: 1.57, 1.76, 1.44, 2.32, and 2.23, respectively). Notably, the association between proteinuria and incident AF was more pronounced in individuals with early and late DM compared to those with prediabetes and new-onset DM (Figure).

Conclusions
At each DM stage, from prediabetes to late DM, a higher level of proteinuria corresponds to an increased risk of AF development. Furthermore, a stronger association was observed in patients with longer DM duration compared to those with prediabetes or new-onset DM. These findings underscore the significance of monitoring proteinuria levels across DM stages to assess AF risk comprehensively.
Post-operative atrial fibrillation during cardiac rehabilitation: incidence and long-term prognostic value
Authors: Cacciola G , Lazzeroni D , Ziveri V , Rastelli S , Geroldi S , Camaiora U , Brambilla L , Brambilla V , Donelli D , Magnani G , Moderato L , Ardissino D , Niccoli G , Nicolini F , Bini M 
Published: October 2024

Abstract

Background
Postoperative atrial fibrillation (POAF) represents a common complication after cardiac surgery and is associated with longer in-hospital stay and increased in-hospital death and stroke, but its long-term prognostic value, during cardiac rehabilitation (CR), remains not well understood.

Purpose
The study aimed to assess the incidence and long-term prognostic values of different types of POAF in a cohort of consecutive patients who undergo CR after cardiac surgery.

Methods
A consecutive registry of patients admitted to our CR after cardiac surgery represents the present study. POAF was defined as any episode of atrial fibrillation occurring in the post-operative period from post-intensive care unit to hospital discharge after CR; moreover, POAF types were classified as Paroxysmal POAF (early and late) and persistent (early and late). Long-term hard end-points were: cardiovascular (CV) mortality and major adverse cardiovascular and cerebrovascular events (MACCEs defined as a composite of cardiovascular death, heart failure hospitalization, non-fatal myocardial infarction, and stroke).

Results
A total of 2.020 patients were included, mean age was 67 years and male gender was prevalent (71%). CR post-coronary artery bypass graft (CABG) was the indication of CR in 53% of patients, cardiac valve surgery in 35%, while 11% underwent CR after CABG plus valve surgery. All patients were followed for a mean of 50 months. POAF was found in 392 patients (19.4%) divided into 36% paroxysmal POAF and 64% persistent POAF, while 7.7% had permanent atrial fibrillation (figure 1A).
Overall POAF was associated with higher rates of CV death (SR 5.0% vs POAF 7.2% vs pAF 16.5%; p&lt;0.001) and MACCEs (SR 12.4% vs POAF 19.6% vs pAF 25.2%; p&lt;0.001 – figure 1B).
By analyzing separately paroxysmal, persistent, early, and late POAF, interestingly only late POAF (both persistent or paroxysmal) was associated with a higher long-term CV risk, in particular, both late persistent and late paroxysmal were associated with a higher risk of MACCEs (late persistent: OR 1.65, p=0.004 / late paroxysmal: OR 1.98, p=0.002 – figure 1C), mainly driven by a higher rate of heart failure hospitalization. Interestingly late paroxysmal POAF showed the worst outcomes among all classified POAF (figure 1D).

Conclusions
POAF after cardiac surgery is associated with long-term adverse outcomes, but not all POAF have the same prognostic value. Late, rather than early, POAF (whether paroxysmal or persistent) is associated with a poor long-term prognosis after cardiac rehabilitation.Figure 1
Prognostic implication of right ventricular - pulmonary arterial coupling in patients with non-valvular atrial fibrillation
Authors: Kim D , Ryu S , Jang J , Shin S 
Published: October 2024

Abstract

Background
The clinical importance of right ventricular (RV) - pulmonary arterial (PA) coupling has been reported in various cardiac diseases such as right heart failure, pulmonary hypertension, and valvular dysfunction. However, there is limited data on patients with non-valvular atrial fibrillation (AF). We aim to investigate whether RV-PA uncoupling affects the clinical outcome in patients with non-valvular AF.

Methods
A total of 807 consecutive patients with non-valvular AF who underwent echocardiography (mean age 70 ± 12 years, 39% female) were included. We excluded patients with significant (at least moderate degree) valvular diseases, left ventricular ejection fraction (LVEF) &lt;50%, cardiac implantable electronic devices, previous cardiac surgery, and poor echocardiographic image for RV analysis. RV-PA coupling was assessed by the ratio of RV global longitudinal strain (GLS) to PA systolic pressure (PASP), and decreased RV-PA coupling was defined as less than 0.52 %/mmHg based on on the receiver operating characteristic analysis. The primary outcome was the composite of all-cause death and hospitalization for heart failure.

Results
Over a mean of 4.7 ± 3.5 years of follow-up, 178 (22%) patients had experienced primary outcomes. Among them, 107 (13%) patients were hospitalized for HF and 90 (11%) patients died. Patients with decreased RV-PA coupling were older (73 ± 11 vs. 68 ± 12 years, p&lt;0.001), had a higher prevalence of females (51 vs. 33%, p&lt;0.001) and diabetes (33 vs. 23%, p=0.003), lower left ventricular ejection fraction (60 ± 5 vs. 61 ± 5%, p=0.011), higher E/e’ (14 ± 5 vs. 11 ± 4, p&lt;0.001), larger left atrial volume index (78 ± 37 vs. 62 ± 22 ml/m2, p&lt;0.001) and larger RV end-systolic area (11 ± 4 vs. 10 ± 3 cm2/m2, p=0.001) compared to those with preserved RV-PA coupling. In multivariate Cox regression analysis, decreased RV-PA coupling was associated with worse clinical outcomes even after adjusting for age, diabetes, E/e’, and RV end-systolic area (Hazard ratio [HR] 1.50, 95% Confidence interval [CI] 1.09 – 2.07, p=0.014) (Figure 1).

Conclusions
In patients with non-valvular AF, RV-PA coupling was associated with clinical outcome, suggesting that it may provide additional information for predicting future cardiovascular risk in this population.
Atrial fibrillation detection on implantable loop recorders in embolic stroke of undetermined source
Authors: Chattopadhyay R , Chousou P A , Matthews G , Clark A , Vassiliou V , Pugh P J 
Published: October 2024

Abstract

Introduction
Embolic stroke of undetermined source (ESUS) represents 17% of all ischaemic strokes, and has a 5% annual stroke recurrence risk. Recent large randomised control trials failed to demonstrate a benefit of empirical anticoagulation for all ESUS patients, with sub-analyses supporting the need for a tailored approach to those patients at greatest risk of atrial fibrillation (AF) development. Understanding how the increased incidence of ILR-detected AF in the ESUS cohort, compares with ILR-detected AF in other cohorts is an essential step in understanding the significance of this finding.

Purpose
To compare the incidence of ILR-detected AF following ESUS against patients undergoing ILR implantation for non-stroke indications for example syncope and palpitations.

Methods
We retrospectively studied all patients without known AF who were referred to our institution for ILR implantation following ESUS, syncope or palpitations from 2009 to 2019. The primary endpoint was any detection of AF or atrial flutter (AFL) by ILR. Kaplan-Meier and multivariable Cox-regression analyses were utilised to account for time-to-event.

Results
A total of 750 patients were included and followed up for a mean of 731 days (SD 443). An ILR was implanted following ESUS in 323 patients and for another reason in 427 patients (figure 1). The incidence of AF was significantly higher among patients with ESUS compared to the non-ESUS group; 48.6% versus 13.8% (for any duration of AF) and 32.2% versus 12.4% (for AF lasting &gt; 30 seconds) both p &lt;0.001. Kaplan-Meier analysis (figure 2), showed significantly higher incidence of AF for ESUS for any duration of AF. This was driven predominantly by AF duration &lt;6 minutes and between 5.5 hours and 24 hours. Importantly, in a multivariable Cox regression analysis, ESUS independently conferred an almost 5-fold increase in the hazard for any duration of AF (Hazard Ratio 4.948, 95% confidence interval 3.587 – 6.825, p&lt;0.001).

Conclusion
The incidence of AF is significantly higher amongst ESUS versus non-ESUS patients monitored constantly by an ILR. A high number of ESUS survivors have short duration AF episodes. Further work is needed to determine the optimal treatment strategy of these AF episodes in ESUS considering AF duration and overall burden.