Changes in ST segment elevation myocardial infarction hospitalisations in China from 2011 to 2015

Short-term effects of nitrogen dioxide on inpatient acute myocardial infarction in Lanzhou, China

Nitrogen dioxide (NO2) represents a deleterious effect on acute myocardial infarction (AMI), but few relevant studies have been conducted in China. We aim to evaluate the acute effects of NO2 exposure on hospitalization for AMI in Lanzhou, China. In this study, we applied a distributional lag nonlinear model (DLNM) to assess the association between NO2 exposure and AMI hospitalization. We explored the sensitivity of various groups through stratified analysis by gender, age, and season. The daily average concentration of NO2 is 47.50 ± 17.38 µg/m3. We observed a significant exposure-response relationship between NO2 concentration and AMI hospitalization. The single pollutant model analysis shows that NO2 is positively correlated with AMI hospitalization at lag1, lag01, lag02, and lag03. The greatest lag effect estimate occurs at lag01, where a 10 µg/m3 increase in NO2 concentrations is significantly associated with a relative risk (RR) of hospitalization due to AMI of 1.027 [95% confidence interval (CI): 1.013, 1.042]. The results of the stratified analysis by gender, age, and season indicate that males, those aged ≥65 years, and the cold season are more sensitive to the deleterious effects caused by NO2 exposure. Short-term exposure to NO2 can enhance the risk of AMI hospitalization in urban Lanzhou.Implications: Exposure to particulate matter can lead to an increased incidence of AMI. Our study once again shows that NO2 exposure increases the risk of AMI hospital admission. AMI is a common and expensive fatal condition. Reducing NO2 exposure will benefit cardiovascular health and save on healthcare costs.

[Application of wearable 12-lead electrocardiogram devices in pre-hospital diagnosis of acute ST segment elevation myocardial infarction]

OBJECTIVE

To assess the value of wearable 12-lead electrocardiogram (ECG) devices in pre-hospital diagnosis of acute ST segment elevation myocardial infarction (STEMI).

METHODS

This analysis was conducted among 441 patients selected from the''National ECG Network'', who used wearable 12-lead ECG device with critical situation warning of ST change between January 2019, and August, 2021.The general characteristics, response time and complaints of the patients with STEMI were analyzed.The accuracy of pre-hospital diagnosis of STEMI was compared between clinician's interpretation of ECGs and AI diagnosis by the wearable ECG device.

RESULTS

In 89 of the patients, a pre-hospital diagnosis of STEMI was made by physicians based on ECGs from the wearable devices, and 58 of them sought medical attention after online warning, with a referral rate of 65.17%.The average time for diagnostic assessment of the ECGs was 153.02 s, and the average time for confirmation of the diagnosis was 178.06 s.The sensitivity for pre-hospital diagnosis of STEMI by clinician's interpretation of the ECGs and by AI diagnosis was 100% and 88.37%, respectively, with a specificity of 95.40% and 79.31%, respectively.The pre-hospital diagnosis by clinicians and AI diagnosis of STEMI both showed a high consistency with the subsequent definite clinical diagnosis of STEMI.

CONCLUSION

Wearable 12-lead ECG devices can accurately record ECG characteristics of STEMI patients outside the hospital and allow immediate data uploading for an early diagnosis.The diagnoses of STEMI made based on AI technology are highly consistent with those by clinicians, demonstrating excellent clinical performance of the wearable ECG devices.

The abnormal level and prognostic potency of multiple inflammatory cytokines in PCI-treated STEMI patients

OBJECTIVE

Inflammatory cytokines modulate atherogenesis and plaque rupture to involve in ST-segment elevation myocardial infarction (STEMI) progression. The present study determined eight inflammatory cytokine levels in 212 percutaneous coronary intervention (PCI)-treated STEMI patients, aiming to comprehensively investigate their potency in estimating major adverse cardiac event (MACE) risk.

METHODS

Serum tumor necrosis factor (TNF)-α, interleukin (IL)-1β, IL-6, IL-8, IL-10, IL-17A, vascular cell adhesion molecule-1 (VCAM-1), and intercellular adhesion molecule-1 (ICAM-1) of 212 PCI-treated STEMI patients and 30 angina pectoris patients were determined using enzyme-linked immunosorbent assay.

RESULTS

TNF-α (52.5 (43.9-62.6) pg/ml versus 46.4 (39.0-59.1) pg/ml, p = 0.031), IL-8 (61.6 (49.6-81.7) pg/ml versus 46.7 (32.5-63.1) pg/ml, p = 0.001), IL-17A (57.4 (45.7-77.3) pg/ml versus 43.2 (34.2-64.6) pg/ml, p = 0.001), and VCAM-1 (593.6 (503.4-811.4) ng/ml versus 493.8 (390.3-653.7) ng/ml, p = 0.004) levels were elevated in STEMI patients compared to angina pectoris patients, while IL-1β (p = 0.069), IL-6 (p = 0.110), IL-10 (p = 0.052), and ICAM-1 (p = 0.069) were of no difference. Moreover, both IL-17A high (vs. low) (p = 0.026) and VCAM-1 high (vs. low) (p = 0.012) were linked with increased cumulative MACE rate. The multivariable Cox's analysis exhibited that IL-17A high (vs. low) (p = 0.034) and VCAM-1 high (vs. low) (p = 0.014) were independently associated with increased cumulative MACE risk. Additionally, age, diabetes mellitus, C-reactive protein, multivessel disease, stent length, and stent type were also independent factors for cumulative MACE risk.

CONCLUSION

IL-17A and VCAM-1 high level independently correlate with elevated MACE risk in STEMI patients, implying its potency in identifying patients with poor prognoses.

Temporal trend in mortality of cardiovascular diseases and its contribution to life expectancy increase in China, 2013 to 2018

BACKGROUNDS

Cardiovascular disease (CVD) remains the leading cause of deaths nationwide. However, little is understood about its temporal trend and corresponding influence on longevity improvements. We aimed to describe the updated tendency in CVD mortality and to quantify its impact on life expectancy (LE) increase in China.

METHODS

All-cause mortality rates were calculated with population sizes from the National Bureau of Statistics and death counts from the National Health Commission. We estimated CVD mortality rates by allocating age- and sex-based mortality envelopes to each CVD subtype based on its proportion derived from the Disease Surveillance Points system. The probability of CVD premature deaths and LE were calculated with life tables and we adopted Arriaga's method to quantitate age- and cause-specific contributions to LE gains.

RESULTS

During 2013 to 2018, the age-standardized mortality rate of CVD decreased from 289.69 (95% confidence interval [CI]: 289.03, 290.35)/100,000 to 272.37 (95%CI: 271.81, 272.94)/100,000, along with a decline in probability of CVD premature deaths from 9.05% (95%CI: 9.02%, 9.09%) to 8.13% (95%CI: 8.10%, 8.16%). The gap in CVD mortality across sexes expanded with more remarkable declines in females, especially for those aged 15 to 64 years. Among major subtypes, the probability of premature deaths from hemorrhage stroke declined fastest, while improvements of ischemic stroke and ischemic heart disease were limited, and there was an increase in stroke sequelae. LE in China reached 77.04 (95%CI: 76.96, 77.12) years in 2018 with an increase of 1.38 years from 2013. Of the total LE gains, 21.15% (0.29 years) were attributed to reductions of CVD mortality in the overall population, mostly driven by those aged >65 years.

CONCLUSIONS

The general process in reducing CVD mortality has contributed to longevity improvements in China. More attention should be paid to prevention and control of atherosclerotic CVD and stroke sequelae, especially for the elderly. Working-age males also deserve additional attention due to inadequate improvements.

Number of standard modifiable risk factors and mortality in patients with first-presentation ST-segment elevation myocardial infarction: insights from China Acute Myocardial Infarction registry

BACKGROUND

Recent publications reported a paradoxical finding that there was an inverse association between the number of standard modifiable risk factors (SMuRFs; smoking, hypertension, diabetes, and hyperlipidemia) and mortality in patients with myocardial infarction. However, the current evidence is only limited to those highly developed countries with advanced medical management systems.

METHODS

The China Acute Myocardial Infarction registry is a prospective observational study including patients with acute myocardial infarction from three-level hospitals across 31 administrative regions throughout mainland China. A total of 16,228 patients with first-presentation ST-elevation myocardial infarction (STEMI) admitted to hospitals from January 2013 to September 2014 were enrolled in the current analysis. Cox proportional hazard models adjusting for baseline characteristics, clinical profiles at presentation, and in-hospital treatments were used to assess the association of the number of SMuRFs with all-cause mortality at 30 days after STEMI presentation.

RESULTS

A total of 1918 (11.8%), 11,503 (70.9%), and 2807 (17.3%) patients had 0, 1-2, and 3-4 SMuRFs at presentation, respectively. Patients with fewer SMuRFs were older and more likely to be females, experienced longer pre-hospital delays, and were less likely to receive primary percutaneous coronary intervention and evidence-based medications. Compared with those without any SMuRF, patients with 1-2 SMuRFs and 3-4 SMuRFs were associated with an HR of 0.74 (95% CI, 0.63-0.87) and 0.63 (0.51-0.77) for all-cause mortality up to 30 days in the unadjusted model (P_trend < 0.0001). However, after multivariate adjustment, the number of SMuRFs was positively associated with increased mortality risk (HR for 1-2 SMuRFs, 1.15 [0.95-1.39]; HR for 3-4 SMuRFs, 1.31 [1.02-1.68]; P_trend = 0.03), and the association was only significant among patients admitted to hospitals beyond 12 h from onset (HR for 1-2 SMuRFs, 1.39 [1.03-1.87]; HR for 3-4 SMuRFs, 2.06 [1.41-3.01]) but not their counterparts (P_interaction = 0.01).

CONCLUSIONS

The increased crude mortality risk among patients without SMuRFs is explained by confounding factors related to their poor risk profiles (old age, longer pre-hospital delays, and poor clinical management). After multivariate adjustment, a higher risk-factor burden was associated with poor prognosis among patients with STEMI.

Risk factors and prediction nomogram model for 1-year readmission for major adverse cardiovascular events in patients with STEMI after PCI

To identify risk factors and develop a risk-prediction nomogram model for 1-year readmission due to major adverse cardiovascular events (MACEs) in patients with acute ST-segment elevation myocardial infarction (STEMI) after primary percutaneous coronary intervention (PCI). This was a single-center, retrospective cohort study. A total of 526 eligible participants were enrolled, which included 456 non-readmitted and 70 readmitted patients. Multivariate logistical regressions were performed to identify the independent risk factors for readmission, and a prediction nomogram model was developed based on the results of the regression analysis. The receiver operating characteristic curve, Hosmer-Lemeshow test, calibration plot, and decision curve analysis (DCA) were used to evaluate the performance of the nomogram. Female (OR = 2.426; 95% CI: 1.395-4.218), hypertension (OR = 1.898; 95% CI: 1.100-3.275), 3-vessel disease (OR = 2.632; 95% CI: 1.332-5.201), in-hospital Ventricular arrhythmias (VA) (OR = 3.143; 95% CI: 1.305-7.574), peak cTnI (OR = 1.003; 95% CI: 1.001-1.004) and baseline NT-proBNP (OR = 1.001; 95% CI: 1.000-1.002) were independent risk factors for readmission (all P < 0.05). The nomogram exhibited good discrimination with the area under the curve (AUC) of 0.723, calibration (Hosmer-Lemeshow test; χ2 = 15.396, P = 0.052), and clinical usefulness. Female gender, hypertension, in-hospital VA, 3-vessel disease, baseline NT-proBNP, and peak cTnI were independent risk factors for readmission. The nomogram helped clinicians to identify the patients at risk of readmission before their hospital discharge, which may help reduce readmission rates.