bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sex differences in atherogenic lipid profile following acute coronary syndrome
Authors: Yang J , Zhang R U I , Li S W , Li X I N 
Published: October 2024

Abstract

Background
Despite significant advancements in lipid-lowering therapy, the management of dyslipidemia remains challenging in patients with acute coronary syndrome (ACS). Significant differences are shown in lipid panels and management between different sexes following ACS.

Objective
To shed light on the alterations and characteristics of atherogenic lipoproteins and the characteristics of patients who achieve LDL-C targets after statin treatment, harnessing real-world data from electronic health records of patients with ACS after their discharge between sexes.

Methods
The data in the present study were derived from the iHeart program sponsored by the Chinese Cardiovascular Association. Eligible patients with a diagnosis of ACS from January 2014 to December 2021 during hospitalisation and having at least one lipid panel record after discharge within 12 months were enrolled. We analysed the control of atherogenic lipid profiles between sexes. The primary outcome was the achievement of the LDL-C target, defined as LDL-C &lt;1.8 mmol/L. A multivariable logistic regression model was used to assess the associations between patient characteristics and LDL-C achievement.

Results
Between 2012 and 2021, 4861 patients (1299 [26.7%] women) were hospitalised with a primary diagnosis of ACS (49.2% STEMI, 13.8% NSTEMI, and 33.8% UA). The mean age was 64.9 (12.4) years. In contrast to a higher proportion of AMI in men, more prevalence of UA was observed in women. Women had more cardiovascular comorbidities than men and were more likely to receive lipid-lowering therapies, blood pressure-lowering therapies, glucose-lowering therapies, and antiplatelet medications at discharge. In both men and women, TC, TG, LDL-C, ApoB, and non-HDL-C levels significantly decreased within 12 months (P&lt;0.05). Women had less reduction in atherogenic lipid profile than men. The rate of LDL-C &lt;1.8 mmol/L was similar between sexes (14.3% vs16.1%; P=0.136) at baseline, whereas within 12 months after discharge, women had a much lower achievement rate of LDL-C target than men (34.6% vs 45.6%; P&lt;0.001). The risk factors for non-achievement of the LDL-C target in men were revascularisation, history of MI, atrial fibrillation, newly diagnosed MI, and high baseline LDL-C levels. For women, the risk factor was hypertension and diabetes.

Conclusion
Substantial sex disparities were observed in the management of atherogenic lipids. Despite a higher likelihood of receiving guideline-recommended medical therapy at discharge, women had poorer lipid control compared to men, especially among those with NSTEMI.
Mortality related to left ventricular ejection fraction and obstructive coronary artery disease in non-ST-segment elevation myocardial infarction
Authors: Stoedkilde-Joergensen N , Olesen K K W , Gyldenkerne C , Thrane P G , Hansen M K , Noergaard B L , Nielsen R R , Maeng M 
Published: October 2024

Abstract

Background
Extent of coronary artery disease (CAD) and the severity of reduced left ventricular ejection fraction (LVEF) have both been associated with the prognosis after non-ST-segment elevation myocardial infarction (NSTEMI). However, the contemporary mortality associated with the extent of obstructive CAD over a range of LVEF remains uncertain.

Purpose
The aim of this study was to assess the impact of CAD and LVEF on all-cause death following a first-time NSTEMI.

Methods
We included consecutive first-time NSTEMI patients undergoing coronary angiography from 2010 to 2021 in Western Denmark. Patients were stratified by extent of obstructive vessel disease (VD; 1, 2, or 3VD) and LVEF (≥51%, 41-50%, or 10-40%). Patients with previous myocardial infarction, percutaneous coronary intervention, or coronary artery bypass grafting were excluded. The primary outcome was all-cause death. We calculated 5-year cumulative incidence proportions (CIP) as a measure of absolute risk and adjusted hazard ratios (HR).

Results
A total of 8,770 patients with first-time NSTEMI and obstructive CAD were examined with coronary angiography. Two-thirds were male and median age was 68 years (Q1-Q3: 58-78). The increase in mortality associated with decreasing LVEF was greater than observed by extent of CAD (Table). Thus, the 5-year mortality increased stepwise by extent of CAD from 14% for 1VD to 31% for 3VD (adjusted HR 1.35, 95% CI:1.19-1.54), but from 12% for LVEF ≥51% to 40% for LVEF 10-40% (adjusted HR 2.32, 95% CI: 2.04-2.65). When combining LVEF and extent of CAD, an increase in 5-year mortality was found from 9% for 1VD and LVEF ≥51% to 46% for 3VD and LVEF 10-40% (risk difference of 37.1%; Figure). Correspondingly, using 1VD and LVEF ≥51% as reference, the adjusted HRs increased gradually with extent of CAD and decline in LVEF to 3.05 (95% CI: 2.51-3.70) for patients with 3VD and LVEF 10-40% (Table).

Conclusion
In a contemporary all-comers cohort of first-time NSTEMI patients, increasing extent of CAD and declining LVEF are both associated with a gradual increase in 5-year mortality. Our data suggest that the level of LVEF reduction was more strongly associated with 5-year mortality than CAD extent.
Association of contemporary hormonal contraception and the risk of arterial thrombosis
Authors: Yonis H , Kragholm K , Granger C B , Torp-Pedersen C , Meaidi A 
Published: October 2024

Abstract

Background
While contemporary hormonal contraception is effective in preventing unwanted pregnancies, its potential link to an increased risk of stroke and myocardial infarction raises safety concerns.

Purpose
This study aimed to investigate the association between the use of contemporary hormonal contraception and the occurrence of ischemic stroke and myocardial infarction.

Methods
A nationwide prospective cohort study was conducted, comprising of all Danish women aged 15-49 years without a history of arterial and venous thrombosis, thrombophilia, and cancer from 1996 to 2021. Data on hormonal contraception use, stroke and myocardial infarction diagnoses, and potential confounders were collected from nationwide registers. A Poisson regression analysis was performed adjusting for age, education level, calendar year, hypertension, statin use, diabetes, and atrial fibrillation.

Results
The study followed 2,205,794 women over 23,700,659 person-years. Weighted median age was 33 (interquartile range (IQR): 24-41) for non-users and 25 (20-34) for users. A total of 5,346 ischemic strokes (22.6 per 100,000 person-years) and 2,351 myocardial infarctions (9.9 per 100,000 person-years) occurred during the study period. When compared to no use, oral contraceptives containing ethinyl estradiol at a dose of 30 to 40 μg was associated with the following adjusted incidence rate ratios (and 95% confidence intervals) for ischemic stroke and myocardial infarction, according to progestin type: levonorgestrel, 1.9 (1.7 to 2.2) and 2.0 (1.7 to 2.4); norgestimate, 1.9 (1.5 to 2.3) and 1.9 (1.4 to 2.6); desogestrel, 2.4 (2.0 to 2.9) and 2.2 (1.6 to 3.0); gestodene, 1.9 (1.7 to 2.2) and 1.9 (1.5 to 2.2); drospirenone, 2.0 (1.6 to 2.5) and 1.8 (1.1 to 2.8); cyproterone acetate, 1.7 (1.2 to 2.3) and 2.1 (1.3 to 3.4), respectively.
At a dose of 20 μg of ethinyl estradiol, the incidence rate ratios for ischemic stroke and myocardial infarction varied based on the type of progestin as follows: desogestrel, 1.9 (1.6 to 2.2) and 1.4 (1.0 to 1.9); gestodene, 1.7 (1.4 to 2.0) and 1.7 (1.2 to 2.4); drospirenone, 1.4 (0.7 to 2.6) and 1.1 (0.3 to 4.4); For transdermal patch, the incidence rate ratio was 3.4 (1.4 to 8.2) and 0.0 (0.0 to 0.0); for vaginal ring, 2.2 (1.4 to 3.3) and 3.2 (1.7 to 6.3); for intrauterine device, 1.1 (0.9 to 1.2) and 1.1 (0.9 to 1.3); for implant, 2.0 (1.2 to 3.5) and 1.3 (0.4 to 3.9); for injection, 1.9 (0.9 to 3.8) and 0.6 (0.1 to 4.0).

Conclusion
Use of contemporary hormonal contraception appeared to be associated with ischemic stroke and myocardial infarction when compared to non-users. The incidence rate ratios varied across type of hormonal contraception, estrogen dose, progestin type and route of administration. The findings underscore the importance of informed decision-making when considering contraceptive options, with implications for public health and individual health choices.FlowchartAdjusted incidence rate ratios
Prevalence and temporal trends of risk factors among young patients with acute myocardial infarction - a nationwide cohort study
Authors: Simonsson M , Reitan C , Andell P 
Published: October 2024

Abstract

Background
Cardiovascular disease, including acute myocardial infarction (AMI) is the leading cause of death globally.(1) While the risk of AMI is higher with increasing age, the consequences of AMI can be more severe in younger individuals, causing larger loss-of-life-expectancy and imposing burdens for society in terms of healthcare costs and premature retirements. Description of the young AMI cohort is of greatest interest to identify modifiable risk factors and/or other predisposing factors that may be optimized.

Aims
To describe the prevalence and temporal trend of risk factors among young individuals with AMI.

Methods
We used data from the SWEDEHEART registry, the National Patient Registry, the Drug Prescription registry and the Swedish Population registry. Adult young patients, defined as 18-59 years, admitted with a first AMI from January 2003 to January 2022 were included. Prevalence of the potentially modifiable risk factors; hypertension, diabetes, hyperlipidemia, smoking and obesity was defined on admission. In the analyses the cohort was further divided into two age groups 18-44 and 45-59 years.

Results
From January 2003 to January 2022, 249 735 patients were admitted with a first AMI and among these, 50 281 (20.1% of the total AMI cohort) were classified as young and included in the study. 44 243 (88.0%) patients were 45-59 years and 6038 (12%) were 18-44 years. The overall prevalence of risk factors was substantial, with higher rates observed in women compared to men (Table 1a) and in the older age group, except for obesity, which was more common in the younger age group (Table 1b). While the prevalence of diabetes and hyperlipdemia remained unchanged over time, smoking decreased and hypertension slightly increased. Notably, the prevalence of obesity more than doubled (Figure 1).

Conclusion
Among young AMI patients the prevalence of modifiable risk factors was substantial with an even higher prevalence in women than in men. The increasing prevalence of obesity especially in the younger age group may indicate a potential future rising health care risks.Figure 1
Association of culprit lesions with in-hospital mortality in patients with acute coronary syndrome complicated by cardiogenic Shock
Authors: Matsushita S , Sawayama Y , Fujita M , Oka S , Taninobu N , Sasaki K , Osakada K , Kadota K 
Published: October 2024

Abstract

Background/Introduction
The Society for Cardiovascular Angiography and Interventions (SCAI) shock stage is useful for stratifying short-term prognosis in patients with acute coronary syndrome (ACS). However, the impact of culprit lesion location for ACS on prognostic stratification by the SCAI shock stage remains insufficiently elucidated.

Purpose
This study aims to investigate the association between culprit lesion location for ACS and shock severity on in-hospital mortality.

Methods
We retrospectively investigated consecutive ACS patients who underwent percutaneous coronary intervention at a single center between January 2014 and October 2023. Patients were classified into five groups (No risk, Stage A, Stage B, Stage C, and Stage E) based on data at arrival in the emergency department using SCAI classification. The following culprit lesions were included in this analysis: left main coronary artery (LMCA), proximal right coronary artery (RCA), proximal left anterior descending artery (LAD), and proximal left circumflex artery (LCX).

Results
Of 1,665 patients included in the analysis, the mean age was 72±12 years, and females accounted for 26% overall. The distribution of SCAI shock stages by culprit lesions is shown in Figure 1. The proportion of stage B or higher in the LMCA, RCA, LAD, and LCX was 41%, 23%, 24%, and 24%, respectively. The corresponding in-hospital mortality was 20%, 3%, 5%, and 3%, respectively. The trend of in-hospital mortality stratified by shock severity and culprit lesions is demonstrated in Figure 2. LMCA and LAD showed increased in-hospital mortality with progressing shock severity. In contrast, this trend was not observed for RCA and LCX.

Conclusions
Except for LMCA, the proportion of shock stage B or higher was comparable. SCAI shock stage classification was useful in stratifying in-hospital mortality in patients where culprit lesions for ACS were LMCA and proximal LAD. Conversely, its validity in those with proximal RCA and LCX may be limited.
Machine-learning based calculator for personalized risk following ST-elevation myocardial infarction
Authors: Kodesh A , Bental T , Loebl N , Kornowski R , Perl L 
Published: October 2024

Abstract

Background
Despite recent advancements in the management of patients with ST-elevation myocardial infarction (STEMI), a high risk for adverse events remains during the first year following the event. There are several risk scores which estimate the risk of major adverse cardiac events (MACE) following STEMI. However, the most established risk scores are not contemporary, their diagnostic accuracy ranges across populations, and they are far from being personalized.

Purpose
We aimed to develop a machine learning (ML)-based calculator to provide patients and physicians with a personalized prognostic tool based on modern-world data to determine outcomes for patients following STEMI. Our goal was to predict mortality within 1-year post-STEMI and contribute personalized recommendations to reduce the risk of events. Additionally, we aimed to have the calculator provide a personalized risk assessment for each independent variable.

Methods
We included patients from two large tertiary care centers in Israel and Italy. 2888 patients who suffered STEMI between the years of 2000 – 2020 were included in our training model. Our calculator leveraged CatBoost for supervised machine learning, utilizing gradient boosting on decision trees. The model was subsequently tested on 321 patients from the Israeli center and 132 patients from the Italian center.

Results
The calculator was able to accurately predict 1-year mortality (96.5% accuracy, ROC 0.97 in the Israeli center and 93.2% accuracy, ROC 0.89 in the Italian center). In the full cohort, left ventricular ejection fraction (LVEF) post-STEMI demonstrated the strongest contribution towards predicted outcome with a mean Shapley value (SHAP) of 0.978, with lower EFs correlating to higher likelihood of one-year mortality (figures 1 and 2). Other strong contributing factors were identified, including glomerular filtration rate (GFR), age, and Killip classification, with mean SHAPs of 0.580, 0.571, and 0.563, respectively. Importantly, the algorithm was designed to also output a personalized assessment of risk for each patient based on their individual variables.

Conclusion
ML-derived STEMI calculators can determine which risk factors and variables provide highest predictive value in determining outcomes in a personalized manner. They can be leveraged for high-accuracy prognostication and provide guidance for physicians and patients after STEMI.
Ethnic disparity in the care and management of non-ST-segment elevation myocardial infarction and its impact on short-term and long-term survival: a long-term study of a national registry
Authors: Yera H , Weight N , Moledina S M , Mamas M A 
Published: October 2024

Abstract

Background
Previous examination of data from the United Kingdom indicates no apparent ethnic disparity in the treatment of patients hospitalised with non-ST-segment elevation myocardial infarction (NSTEMI). However, it remains uncertain whether this lack of disparity results in similar long-term survival outcomes among ethnic minority groups, particularly those with multiple underlying risk factors for coronary artery disease, when compared to White patients.

Purpose
To assess the impact of quality of care on short-term and long-term survival among NSTEMI patients while examining disparities based on ethnicity.

Methods
We analysed records of 252,964 individuals diagnosed with NSTEMI from the Myocardial Ischaemia National Audit Project database spanning 2005 to 2019, alongside Office of National Statistics data for mortality. Among them, 233,158 were identified as White patients, while 19,806 were categorised as belonging to ethnic minority groups (Asian, Black, and mixed ethnicity). Propensity score matching was used to compare average treatment effects between cohorts while survival was compared using Cox regression model.

Results
Ethnic minorities were younger (median age in years) (66 vs. 73, P &lt; 0.001), predominantly male (70% vs. 63%, P &lt; 0.001), and exhibited a higher prevalence of cardiovascular risk factors such as diabetes (52% vs. 24%, P &lt; 0.001), hypertension (67% vs. 54%, P &lt; 0.001), hypercholesterolemia (49% vs. 34%, P &lt; 0.001), and chronic renal dysfunction (13% vs. 8%, P &lt; 0.001). Ethnic minorities more frequently underwent invasive coronary angiography (80% vs. 68%, P &lt; 0.001), percutaneous coronary intervention (53% vs. 44%, P &lt; 0.001), and coronary artery bypass grafting (5% vs. 4%, P &lt; 0.001). After conducting propensity score matching, both cohorts had no significant differences in in-hospital all-cause mortality [odds ratio (OR) 1.13, confidence interval (CI) 0.89 – 1.43; P = 0.268], cardiac mortality (OR 1.20, CI 0.89 – 1.54; P = 0.209), one-year mortality (OR 1.01, CI 0.89 – 1.13; P = 0.893) and major adverse cardiovascular events (OR 1.21, CI 0.95 – 1.48; P = 0.108). However, upon conducting a five-year survival analysis, ethnic minorities had better survival rates than their White counterparts (Hazard ratio (HR) 0.89, CI 0.86-0.92; P &lt; 0.001).

Conclusions
Despite ethnic minorities being at a higher risk for coronary artery disease, our findings indicate that they experience better five-year survival rates than White patients. This suggests equitable access to care and potentially a more aggressive treatment approach in this relatively young patient cohort.
Sex-specific models to predict 5-year mortality after ST-elevation myocardial infarction using machine learning: insight from FAST-MI registry
Authors: Singh M , Hamzi K , Toupin S , Dillinger J G , Henry P , Cayla G , Schiele F , Ferrieres J , Simon T , Danchin N , Pezel T 
Published: October 2024

Abstract

Background
Most prognostic stratification tools in acute myocardial infarction (AMI) have been derived from populations including both women and men and including only a small proportion of women.

Purpose
Using supervised machine learning (ML), we examined the performance of 2 models assessing 5-year mortality after AMI, one derived from a population of women only and one from a population of men only, to determine whether sex-specific models improved outcome prediction.

Methods
This cohort study used the French registry on acute ST-elevation and non-ST-elevation myocardial infarction (FAST-MI) 2010 and 2015 surveys. This multicentric registry led in more than 200 French hospitals, enrolled all consecutive patients with acute myocardial infarction during a 1-month recruitment period. Our analysis included all men and women presenting STEMI who underwent invasive coronary angiography (ICA). To build and validate the models, the data set were split with a 70%/30% ratio into training and testing sets. The primary outcome was 5-year all-cause mortality. Then, 52 clinical, laboratory, ECG, echocardiographic, and ICA parameters were evaluated for feature selection using Boruta algorithm. Different supervised machine learning algorithms, including random forest (RF), were assessed for model building, and their performance were compared in women and men. To compare prediction accuracy according to sex, we evaluate the performance of the women-based ML model in men from the same cohort.

Results
1,189 consecutive women and 3,685 men with STEMI (mean age 61±13 and 69±15 years, respectively) were recruited; 12% of men and 20% of women experienced 5-year all-cause mortality. Using Boruta algorithm, the 10 most important variables for prediction were selected (Figure 1). For women-based ML model building, the RF algorithm exhibited the best performance to predict mortality with an area under the receiver-operating characteristic curve (ROC-AUC) of 0.82 (95% CI: 0.77 – 0.88), an area under the precision-recall curve (PR-AUC) of 0.59 (95% CI: 0.54 – 0.64); and a F1-score of 0.58. The women-based ML model exhibited lower performance in men (ROC-AUC: 0.78; PR-AUC: 0.43; Figure 2). Conversely, the men-based model exhibited better accuracy in men than in women.

Conclusion
In a large multicentric cohort of STEMI patients, a women-based ML-model exhibited a good accuracy to predict 5-year all-cause mortality in women, but a drop of accuracy when applied to men. In mirror, the accuracy of the men-based model was lower in women. This suggests that sex-specific models might be superior to general models to predict mortality after AMI.Features selection and ML model buildingML model performance according to sex