Clinical Presentation, Quality of Care, Risk Factors and Outcomes in Women with Acute ST-Elevation Myocardial Infarction (STEMI): An Observational Report from Six Middle Eastern Countries

Ensemble machine learning for predicting in-hospital mortality in Asian women with ST-elevation myocardial infarction (STEMI)

The accurate prediction of in-hospital mortality in Asian women after ST-Elevation Myocardial Infarction (STEMI) remains a crucial issue in medical research. Existing models frequently neglect this demographic's particular attributes, resulting in poor treatment outcomes. This study aims to improve the prediction of in-hospital mortality in multi-ethnic Asian women with STEMI by employing both base and ensemble machine learning (ML) models. We centred on the development of demographic-specific models using data from the Malaysian National Cardiovascular Disease Database spanning 2006 to 2016. Through a careful iterative feature selection approach that included feature importance and sequential backward elimination, significant variables such as systolic blood pressure, Killip class, fasting blood glucose, beta-blockers, angiotensin-converting enzyme inhibitors (ACE), and oral hypoglycemic medications were identified. The findings of our study revealed that ML models with selected features outperformed the conventional Thrombolysis in Myocardial Infarction (TIMI) Risk score, with area under the curve (AUC) ranging from 0.60 to 0.93 versus TIMI's AUC of 0.81. Remarkably, our best-performing ensemble ML model was surpassed by the base ML model, support vector machine (SVM) Linear with SVM selected features (AUC: 0.93, CI: 0.89-0.98 versus AUC: 0.91, CI: 0.87-0.96). Furthermore, the women-specific model outperformed a non-gender-specific STEMI model (AUC: 0.92, CI: 0.87-0.97). Our findings demonstrate the value of women-specific ML models over standard approaches, emphasizing the importance of continued testing and validation to improve clinical care for women with STEMI.

A cross-sectional study determining prevalence and factors associated with ST-segment elevation myocardial infarction and non-ST segment elevation myocardial infarction in Iran: results from fasa registry on acute myocardial infarction (FaRMI)

BACKGROUND

Acute myocardial infarction is still a leading cause of death worldwide, accounting for roughly three million deaths yearly. This study aimed to investigate the prevalence and factors associated with ST-Segment Elevation Myocardial Infarction and Non-ST Segment Elevation Myocardial Infarction in Iran.

METHODS

This cross-sectional study was conducted using the databases of the Fasa Registry on Acute Myocardial Infarction (FaRMI) and the Fasa Adult Cohort Study (FACS). chi-squared and one-way ANOVA tests were utilized to calculate the unadjusted associations between the study variables. A multivariate multinomial logistic regression model was also employed to determine the adjusted association of each independent variable with the risk of ST-elevation myocardial infarction (STEMI).

RESULTS

The prevalence of STEMI and non-STEMI was 31.60% and 11.80%, respectively. Multinomial logistic regression showed that older age, anemia, high WBC, and high creatinine levels were associated with higher odds of STEMI and non-STEMI compared to healthy individuals. In addition, based on the analysis being a woman(OR = 0.63,95%CI:0.51-0.78), anemia(OR = 0.67,95%CI:0.54-0.63)and hypertension (OR = 0.80,95%CI:0.65-0.97)decreased the likelihood of STEMI occurrence compared to non-STEMI, while high WBC(OR = 1.19,95%CI:1.15-1.23)increased the odds.

CONCLUSION

In this study, significant predictors of MI risk included age, gender, anemia, lipid profile, inflammation, and renal function. Subsequent investigations ought to prioritize the comprehensive understanding of the underlying mechanisms that drive these connections and assess the effectiveness of specific interventions aimed at diminishing the occurrence of MI and improving patient outcomes.

In-hospital risk stratification algorithm of Asian elderly patients

Limited research has been conducted in Asian elderly patients (aged 65 years and above) for in-hospital mortality prediction after an ST-segment elevation myocardial infarction (STEMI) using Deep Learning (DL) and Machine Learning (ML). We used DL and ML to predict in-hospital mortality in Asian elderly STEMI patients and compared it to a conventional risk score for myocardial infraction outcomes. Malaysia's National Cardiovascular Disease Registry comprises an ethnically diverse Asian elderly population (3991 patients). 50 variables helped in establishing the in-hospital death prediction model. The TIMI score was used to predict mortality using DL and feature selection methods from ML algorithms. The main performance metric was the area under the receiver operating characteristic curve (AUC). The DL and ML model constructed using ML feature selection outperforms the conventional risk scoring score, TIMI (AUC 0.75). DL built from ML features (AUC ranging from 0.93 to 0.95) outscored DL built from all features (AUC 0.93). The TIMI score underestimates mortality in the elderly. TIMI predicts 18.4% higher mortality than the DL algorithm (44.7%). All ML feature selection algorithms identify age, fasting blood glucose, heart rate, Killip class, oral hypoglycemic agent, systolic blood pressure, and total cholesterol as common predictors of mortality in the elderly. In a multi-ethnic population, DL outperformed the TIMI risk score in classifying elderly STEMI patients. ML improves death prediction by identifying separate characteristics in older Asian populations. Continuous testing and validation will improve future risk classification, management, and results.

Premature STEMI in Men and Women: Current Clinical Features and Improvements in Management and Prognosis

Background: Coronary artery disease (CAD) is the most frequent cause of ST-segment elevation myocardial infarction (STEMI). Etiopathogenic and prognostic characteristics in young patients may differ from older patients and young women may present worse outcomes than men. We aimed to evaluate the clinical characteristics and prognosis of men and women with premature STEMI.

METHODS

A total 1404 consecutive patients were referred to our institution for emergency cardiac catheterization due to STEMI suspicion (1 January 2014-31 December 2018). Patients with confirmed premature (<55 years old in men and <60 in women) STEMI (366 patients, 83% men and 17% women) were included (359 atherothrombotic and 7 spontaneous coronary artery dissection (SCAD)).

RESULTS

Premature STEMI patients had a high prevalence of classical cardiovascular risk factors. Mean follow-up was 4.1 years (±1.75 SD). Mortality rates, re-hospitalization, and hospital stay showed no significant differences between sexes. More than 10% of women with premature STEMI suffered SCAD. There were no significant differences between sexes, neither among cholesterol levels nor in hypolipemiant therapy. The global survival rates were similar to that expected in the general population of the same sex and age in our region with a significantly higher excess of mortality at 6 years among men compared with the general population.

CONCLUSION

Our results showed a high incidence of cardiovascular risk factors, a high prevalence of SCAD among young women, and a generally good prognosis after standardized treatment. During follow-up, 23% suffered a major cardiovascular event (MACE), without significant differences between sexes and observed survival at 1, 3, and 6 years of follow-up was 96.57% (95% CI 94.04-98.04), 95.64% (95% CI 92.87-97.35), and 94.5% (95% CI 91.12-97.66). An extra effort to prevent/delay STEMI should be invested focusing on smoking avoidance and optimal hypolipemiant treatment both in primary and secondary prevention.

Analysis of potential factors contributing to refusal of invasive strategy after ST-segment elevation myocardial infarction in China

Background:

Reduced application of percutaneous coronary intervention (PCI) is associated with higher mortality rates after ST-segment elevation myocardial infarction (STEMI). We aimed to evaluate potential factors contributing to the refusal of PCI in STEMI patients in China.

Methods:

We studied 957 patients diagnosed with STEMI in the emergency departments (EDs) of six public hospitals in China. The differences in baseline characteristics and 30-day outcome were investigated between patients who refused PCI and those who underwent PCI. Multivariable logistic regression was used to evaluate the potential factors associated with refusing PCI.

Results:

The potential factors contributing to refusing PCI were older than 65 years (odds ratio [OR] 2.66, 95% confidence interval [CI] 1.56–4.52, P < 0.001), low body mass index (BMI) (OR 0.91, 95% CI 0.84–0.98, P = 0.013), not being married (OR 0.29, 95% CI 0.17–0.49, P < 0.001), history of myocardial infarction (MI) (OR 2.59, 95% CI 1.33–5.04, P = 0.005), higher heart rate (HR) (OR 1.02, 95% CI 1.01–1.03, P = 0.002), cardiac shock in the ED (OR 5.03, 95% CI 1.48–17.08, P = 0.010), pre-hospital delay (>12 h) (OR 3.31, 95% CI 1.83–6.02, P < 0.001) and not being hospitalized in a tertiary hospital (OR 0.45, 95% CI 0.27–0.75, P = 0.002). Compared to men, women were older, were less often married, had a lower BMI and were less often hospitalized in tertiary hospitals.

Conclusions:

Patients who were older, had lower economic or social status, and had poorer health status were more likely to refuse PCI after STEMI. There was a sex difference in the potential predictors of refusing PCI. Targeted efforts should be made to improve the acceptance of PCI among patients with STEMI in China.

Age-Related Sex Differences in Clinical Presentation, Management, and Outcomes in ST-Segment-Elevation Myocardial Infarction: Pooled Analysis of 15 532 Patients From 7 Arabian Gulf Registries

Background No studies from the Arabian Gulf region have taken age into account when examining sex differences in ST-segment-elevation myocardial infarction (STEMI) presentation and outcomes. We examined the relationship between sex differences and presenting characteristics, revascularization procedures, and in-hospital mortality after accounting for age in patients hospitalized with STEMI in the Arabian Gulf region from 2005 to 2017. Methods and Results This study was a pooled analysis of 31 620 patients with a diagnosis of acute coronary syndrome enrolled in 7 Arabian Gulf registries. Of these, 15 532 patients aged ≥18 years were hospitalized with a primary diagnosis of STEMI. A multiple variable regression model was used to assess sex differences in revascularization, in-hospital mortality, and 1-year mortality. Odds ratios and 95% CIs were calculated. Women were, on average, 8.5 years older than men (mean age: 61.7 versus 53.2 years; absolute standard mean difference: 68.9%). The age-stratified analysis showed that younger women (aged <65 years) with STEMI were more likely to seek acute medical care and were less likely to receive thrombolytic therapies or primary percutaneous coronary intervention and guideline-recommended pharmacotherapy than men. Women had higher crude in-hospital mortality than men, driven mainly by younger age (46-55 years, odds ratio: 2.60 [95% CI, 1.80-3.7]; P<0.001; 56-65 years, odds ratio: 2.32 [95% CI, 1.75-3.08]; P<0.001; and 66-75 years, odds ratio: 1.79 [95% CI, 1.33-2.41]; P<0.001). Younger women had higher adjusted in-hospital and 1-year mortality rates than younger men (P<0.001). Conclusions Younger women (aged ≤65 years) with STEMI were less likely to receive guideline-recommended pharmacotherapy and revascularization than younger men during hospitalization and had higher in-hospital and 1-year mortality rates.

Prehospital and in-hospital delays to care and associated factors in patients with STEMI: an observational study in 101 non-PCI hospitals in China

OBJECTIVES

To describe the prehospital and in-hospital delays to care and factors associated with the delays among patients with ST-segment elevation myocardial infarction (STEMI) in non-percutaneous coronary intervention (PCI) hospitals in China.

DESIGN, SETTING AND PARTICIPANTS

We analysed data from a large registry-based quality of care improvement trial conducted from 2011 to 2014 among 101 non-PCI hospitals in China. A total of 7312 patients with STEMI were included. Prehospital delay was defined as time from symptom onset to hospital arrival >120 min, first ECG delay as time from arrival to first ECG >10 min, thrombolytic therapy delay as time from first ECG to thrombolytic therapy >10 min and in-hospital delay as time from arrival to thrombolytic therapy >30 min. Logistic regressions with generalised estimating equations were preformed to identify the factors associated with each delay.

RESULTS

The rates of prehospital delay, first ECG delay, thrombolytic therapy delay and in-hospital delay were 67.1%, 31.4%, 85.8% and 67.8%, respectively. Patients who were female, older than 65 years old, illiterate, farmers, onset during late night and forenoon, had heart rate ≥100 beats/m at admission were more likely and patients who had history of myocardial infarction, hypertension or SBP <90 mm Hg at admission were less likely to have prehospital delay. First ECG delay was more likely to take place in patients arriving on regular hours. Thrombolytic therapy delay rate was lower in patients who had prehospital delay or first ECG delay but higher in those with heart rate ≥100 beats/m at admission. In-hospital delay rate was lower in patients with a history of dyslipidaemia and those who arrived during regular hours.

CONCLUSION

Chinese patients with STEMI in low medical resource areas suffered severe prehospital and in-hospital delays to care. Future efforts should be made to improve the prehospital delay among vulnerable populations with low socioeconomic status.

TRIAL REGISTRATION NUMBER

NCT01398228; Post-results.

The first survey of the Saudi Acute Myocardial Infarction Registry Program: Main results and long-term outcomes (STARS-1 Program)

BACKGROUND

Prior acute coronary syndrome (ACS) registries in Saudi Arabia might not have accurately described the true demographics and cardiac care of patients with ACS. We aimed to evaluate the clinical characteristics, management, and outcomes of a representative sample of patients with acute myocardial infarction (AMI) in Saudi Arabia.

METHODS

We conducted a 1-month snap-shot, prospective, multi-center registry study in 50 hospitals from various health care sectors in Saudi Arabia. We followed patients for 1 month and 1 year after hospital discharge. Patients with AMI included those with or without ST-segment elevation (STEMI or NSTEMI, respectively). This program survey will be repeated every 5 years.

RESULTS

Between May 2015 and January 2017, we enrolled 2233 patients with ACS (mean age was 56 [standard deviation = 13] years; 55.6% were Saudi citizens, 85.7% were men, and 65.9% had STEMI). Coronary artery disease risk factors were high; 52.7% had diabetes mellitus and 51.2% had hypertension. Emergency Medical Services (EMS) was utilized in only 5.2% of cases. Revascularization for patients with STEMI included thrombolytic therapy (29%), primary percutaneous coronary intervention (PCI); (42.5%), neither (29%), or a pharmaco-invasive approach (3%). Non-Saudis with STEMI were less likely to undergo primary PCI compared to Saudis (35.8% vs. 48.7%; respectively, p <0.001), and women were less likely than men to achieve a door-to-balloon time of <90 min (42% vs. 65%; respectively, p = 0.003). Around half of the patients with NSTEMI did not undergo a coronary angiogram. All-cause mortality rates were 4%, 5.8%, and 8.1%, in-hospital, at 1 month, and at 1 year, respectively. These rates were significantly higher in women than in men.

CONCLUSIONS

There is an urgent need for primary prevention programs, improving the EMS infrastructure and utilization, and establishing organized ACS network programs. AMI care needs further improvement, particularly for women and non-Saudis.