Clinical investigation of acute myocardial infarction according to age subsets

Wang, Jianwei; Li, Li; Ma, Ning; Zhang, Xiaohui; Qiao, Yan; Fang, Guangjie; Li, Guoping; Zhong, Tao

doi:10.3892/etm.2020.9248

Cited by 6 publications

(5 citation statements)

References 22 publications

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“…In 2018, a retrospective study of the clinical data of 360 AMI patients treated in Peking Union Medical College Hospital found that most AMI patients under the age of 30 were acute ST-segment elevation myocardial infarction, with single and nonobstructive lesions common, and the anterior descending branch was the most common criminal vessel [ 4 ]. This reveals the clinical and coronary artery lesion characteristics of patients with acute myocardial infarction under the age of 30.…”

Section: Introductionmentioning

confidence: 99%

Clinical Study on Characteristics and Risk Factors of Coronary Artery Lesions in Young Patients with Acute Myocardial Infarction

Liu

Zhang

et al. 2021

Evidence-Based Complementary and Alternative Medicine

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Epidemiological evidence suggests that the incidence of acute myocardial infarction (AMI) among people under 40 years of age has an increasing trend in recent years. Smoking, hypertension, diabetes mellitus, family history, and gender (male) are considered as classic risk factors for CHD, but the pathogenesis of CHD in young people is not exactly the same. Moreover, the relationship between the pattern of coronary artery disease and risk factors in young patients with acute myocardial infarction is inconclusive. In this study, we retrospectively studied the clinical data of 150 AMI patients treated in our hospital from January 2020 to May 2021. The patients were divided into the young group and elderly group according to the difference in age. The number of coronary artery lesions, the degree of coronary artery stenosis, the distribution dominance typing, the position of the lesions, and the presence of collateral circulation were observed and compared between the two groups. Multivariate logistic regression analysis was used to investigate the risk factors affecting coronary artery lesions in young patients with AMI. The results showed that the number of coronary lesions in young patients with AMI was mainly single-vessel, and the dominant type of distribution was mainly right dominant type. The stenosis degree is lighter than that of elderly patients, and the incidence of collateral circulation is lower than that of elderly patients, but the position of the lesions has no obvious regular. Smoking, staying up late, HDL-C, and LDL-C/ApoB were independent factors affecting the number of coronary artery lesions, and the changes of HDL-C and LDL-C/ApoB had an important influence on the degree of coronary stenosis in young patients. This provides a new idea for clinical treatment.

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Section: Introductionmentioning

confidence: 99%

Clinical Study on Characteristics and Risk Factors of Coronary Artery Lesions in Young Patients with Acute Myocardial Infarction

Liu

Zhang

et al. 2021

Evidence-Based Complementary and Alternative Medicine

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“…The nomogram in our study showed that being older was a risk factor for AMI. Using coronary angiography results, Wang et al 23 found that the most frequent coronary lesion in young patients with AMI was lesions with one branch (62.4%) and secondary injury was limited. These authors also found that older patients with AMI had more multiple branch lesions and calcified lesions, which had a serious effect on cardiac function.…”

Section: Discussionmentioning

confidence: 99%

Establishment of a prognostic model based on the Sequential Organ Failure Assessment score for patients with first-time acute myocardial infarction

et al. 2021

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Objective This study aimed to identify the prognostic factors of patients with first-time acute myocardial infarction (AMI) and to establish a nomogram for prognostic modeling. Methods We studied 985 patients with first-time AMI using data from the Multi-parameter Intelligent Monitoring for Intensive Care database and extracted their demographic data. Cox proportional hazards regression was used to examine outcome-related variables. We also tested a new predictive model that includes the Sequential Organ Failure Assessment (SOFA) score and compared it with the SOFA-only model. Results An older age, higher SOFA score, and higher Acute Physiology III score were risk factors for the prognosis of AMI. The risk of further cardiovascular events was 1.54-fold higher in women than in men. Patients in the cardiac surgery intensive care unit had a better prognosis than those in the coronary heart disease intensive care unit. Pressurized drug use was a protective factor and the risk of further cardiovascular events was 1.36-fold higher in nonusers. Conclusion The prognosis of AMI is affected by age, the SOFA score, the Acute Physiology III score, sex, admission location, type of care unit, and vasopressin use. Our new predictive model for AMI has better performance than the SOFA model alone.

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“…Based on the lack of an accurate scoring system for AMI patients, 4610 patients and 30 risk factors relating to AMI were selected using sample data from the MIMIC-III database [14][15][16][17][18]. Using a random forest [19] selection method identi ed 19 risk factors that had been identi ed in the multivariate logistic regression analysis [20].…”

Section: Discussionmentioning

confidence: 99%

Development and Validation of a 90-day Mortality Prediction Nomogram for AMI Patients: A Retrospective Cohort Study

Yang¹,

Ma²,

Huang³

et al. 2021

Preprint

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Background: The purpose of this study was to identify the factors influencing the 90-day mortality of acute myocardial infarction(AMI) patients, and to establish a prognostic model for these patients based on the MIMIC-III database.Methods: Retrospective study methods were used to collect AMI patient data that met the inclusion criteria from the MIMIC-III database. Variable importance selection was determined using the random forest algorithm. Multiple logistic regression was used to determine AMI-related risk factors, with the results represented as a nomogram.Results: The baseline scores for the training and validation groups were very flat, and indicators for developing risk-model nomograms were obtained after random forest and multiple logistic regression. The AUC of the risk model was the highest (0.826 and 0.818 in the training and validation groups, respectively) . The Hosmer-Lemeshow goodness-of-fit test and standard curve both produced very consistent results. Both the NRI and IDI values indicated that the risk model had significant predictive power, and DCA results indicated that the risk model had good net benefits for clinical application.Conclusions: The results of this study indicated that age, troponinT, VT, VFI, MI_his, APS-III, bypass, and PCI were risk factors for 90-day mortality in AMI patients. Interactive nomograms could provide intuitive and concise personalized 90-day mortality predictions for AMI patients.

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Clinical investigation of acute myocardial infarction according to age subsets

Cited by 6 publications

References 22 publications

Clinical Study on Characteristics and Risk Factors of Coronary Artery Lesions in Young Patients with Acute Myocardial Infarction

Clinical Study on Characteristics and Risk Factors of Coronary Artery Lesions in Young Patients with Acute Myocardial Infarction

Establishment of a prognostic model based on the Sequential Organ Failure Assessment score for patients with first-time acute myocardial infarction

Development and Validation of a 90-day Mortality Prediction Nomogram for AMI Patients: A Retrospective Cohort Study

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