Risk Factor For Acute Myocardial Infarction Research Articles

Bioinformatics analysis of the role of cuproptosis gene in acute myocardial infarction.

Immune infiltration plays a vital role in the course of acute myocardial infarction (AMI). Cuproptosis is a new type of programmed cell death discovered recently. Currently, there is no study on the mechanism of cuproptosis gene regulating immune infiltration in AMI. Therefore, by integrating cuproptosis-related genes and GEO database-related microarray data, this study analyzed the association between cuproptosis genes and immune infiltration and built a risk model. The GSE59867 was used to extract cuproptosis gene expression profile. The R limma package was used to analyze the differentially expressed genes associated with AMI-Cuproptosis. The risk model was constructed according to AMI-cuproptosis differentially expressed genes. Prediction of AMI-cuproptosis-related gene drugs through Coremine Medical database. The upstream miRNAs were predicted using miRWalk, TargetScan, and miRDB libraries, and a miRNA-mRNA network was constructed. Cuproptosis-related genes (DLST, LIAS, DBT, ATP7A, LIPT1, PDHB, GCSH, DLD, DLAT) were down-regulated in AMI patients. One (ATP7B) gene was up-regulated in AMI patients (P<0.05). These 10 Cuproptosis-related genes were significantly associated with immune cell infiltration. Based on these 10 differential genes, the AMI risk prediction model was constructed, and the AUC value was 0.825, among which the abnormal expression of DLST was a risk factor for AMI. Additionally, we also predicted DLAT upstream miRNAs and associated drug targets, finding that 9 miRNAs were upstream of DLST. DLST is a potential cuproptosis gene associated with AMI, but its specific mechanism remains unclear and requires further investigation in future studies.

Risk factors and prognosis of postoperative acute myocardial infarction in elderly hip fracture patients combined with coronary heart disease

IntroductionThis article mainly studies the risk factors for postoperative acute myocardial infarction (AMI) in elderly hip fracture patients combined with coronary heart disease (CHD), constructs a prediction model, and evaluates the prognosis of all the patients.MethodsThis article retrospectively collected elderly patients with hip fracture and CHD who underwent hip fracture surgery at the Third Hospital of Hebei Medical University from January 2019 to December 2021. Demographic data, laboratory indicators, and imaging examination results were collected from the medical case system. The risk factors of postoperative AMI were determined by univariate and multivariate logistic regression, and a nomogram prediction model was established. The ROC curve, calibration curve and DCA decision curve were plotted by R language software. The patients in the training set were followed up for 2 years to evaluate their survival situation.Results1094 eligible patients were divided into a training set (n = 824 from January 1, 2019 to September 31, 2021) and a validation set (n = 270 from October 1, 2021 to December 31, 2022). In the training set, women accounted for 58.6%; The average age of the patients was 79.45 years old; The main type of fracture was intertrochanteric fracture. There were 64.7% patients taken B receptor blockers; A total of 166 (20.1%) patients underwent percutaneous coronary intervention (PCI); Hypertension accounted for 55.5%; 520 (63.1%) patients had a preoperative waiting time greater than 3 days; The average hemoglobin value upon admission was 101.36 g/L; The average intraoperative bleeding volume was 212.42 ml; The average surgical time was 2.5 ± 0.3 h; Reginal anesthesia accounted for 29.7%; 63 (68.5%) AMI patients had no obvious clinical symptoms; 68 (73.9%) AMI patients did not show ST-segment elevation in ECG; The risk factors of postoperative AMI were age, hemoglobin at admission, diabetes, chronic kidney disease, intraoperative bleeding, and reginal anesthesia. The AUC of the nomogram prediction model was 0.729. The AUC in the validation set was 0.783. Survival analysis showed a significant statistical difference in 2-year mortality between patients with AMI and without AMI, among all the patients with AMI, patients with ECG ST-segment elevation has higher mortality than patients without ECG ST-segment elevation.ConclusionOur research results found that the incidence of postoperative AMI in elderly patients with hip fractures and CHD was 11.1%. Age, diabetes, hemoglobin at admission, regional anesthesia, chronic kidney disease, and intraoperative bleeding are risk factors. The AUC of the nomogram in training set is 0.729. The 2-year mortality rate of the patients with AMI is higher than that of patients without AMI.

Associated demographic factors for the recurrence and prognosis of stroke patients within a multiethnic Asian population.

There is a paucity of studies investigating the outcomes among Asian stroke patients. Identifying subgroups of stroke patients at risk of poorer outcomes could identify patients who would benefit from targeted interventions. Therefore, the aim of this study was to identify which ischemic stroke patients at high risk of recurrent events and mortality. This cohort study adhered to STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) guidelines. We obtained data from the Singapore Stroke Registry (SSR) from 2005 to 2016 and cross referenced to the Death Registry and the Myocardial Infarction Registry. Outcome measures included recurrent stroke, acute myocardial infarction (AMI), and all-cause and stroke-related deaths. Multivariable Cox proportional hazards regression models were performed to determine risk factors for recurrent stroke, AMI, and all-cause and stroke-related deaths. A total of 64,915 patients (6705 young, and 58,210 older) were included in our analysis. Older stroke patients were found to have an increased risk of recurrent stroke (hazard ratio (HR) = 1.21, 95% confidence interval (CI) = 1.12-1.30), AMI (HR = 1.73, 95% CI = 1.54-1.95), all-cause death (HR = 2.49, 95% CI = 2.34-2.64), and stroke-related death (HR = 176, 95% CI = 1.61-1.92). Among young stroke patients, males were at increased risk for recurrent stroke (HR = 1.18, 95% CI = 1.01-1.39) and AMI (HR = 1.41, 95% CI = 1.08-1.83), but at reduced risk for all-cause (HR = 0.78, 95% CI = 0.69-0.89) and stroke-related deaths (HR = 0.79, 95% CI = 0.67-0.94). Ethnicity appeared to influence outcomes, with Malay patients at increased risk of recurrent stroke (HR = 1.37, 95% CI = 1.14-1.65), AMI (HR = 2.45, 95% CI = 1.87-3.22), and all-cause (HR = 1.43, 95% CI = 1.24-1.66) and stroke-related deaths (HR = 1.34, 95% CI = 1.09-1.64). Indian patients were also at increased risk of AMI (HR = 1.96, 95% CI = 1.41-2.72). Similar findings were seen among the older stroke patients. This study found that older stroke patients are at risk of poorer outcomes. Within the young stroke population specifically, males were predisposed to recurrent stroke and AMI but were protected against all-cause and stroke-related deaths. Males were also at reduced risk of all-cause and stroke-related deaths in the older stroke population. In addition, Malay and Indian patients experience poorer outcomes after first stroke. Further optimization of risk factors targeting these high-priority populations are needed to achieve high-quality care.

Diagnostic value of the creatine kinase-MB/creatine kinase and neutrophil/lymphocyte ratios in acute myocardial infarction

ObjectiveTo investigate the clinical significance of the creatine kinase (CK)-MB/total CK ratio, neutrophil/lymphocyte ratio (NLR) and red blood cell distribution width in acute myocardial infarction (AMI).MethodsA retrospective analysis was conducted of 196 AMI cases from our hospital’s cardiology department; healthy people were selected over the same period as the control. The two groups’ test indexes were compared through multivariate logistic regression analysis to screen for AMI risk factors; the receiver operating characteristic (ROC) curve was used to evaluate their AMI predictive values.ResultsThe serum CK, CK-MB, CK index, neutrophils and NLR values in the AMI group were significantly higher compared with those in the control group (p < 0.05); however, the levels of serum lymphocytes were significantly lower compared with those in the control group (p < 0.05). Multivariate logistic regression analysis showed that elevated CK-MB and NLR levels were risk factors for AMI (p < 0.05). The ROC curve showed that the area under the curve of the NLR and CK levels were 0.917 and 0.594, respectively.ConclusionThe CK index and NLR have a clinical predicting value for AMI and could be used as a clinical auxiliary diagnostic index for the assessment of patients with AMI.

Genetic variants rs2910164, rs4636297 and rs895819 may contribute to the onset of acute myocardial infarction in Pakistani population.

The most serious type of coronary artery disease (CAD), acute myocardial infarction (AMI), is a major global cause of death. The development of AMI is accompanied by several risk factors. AMI may be caused by variations in the microRNA (miRNA) genes, which have a negative impact on miRNA-mediated regulation of gene expression. The target mRNAs are dysregulated because of these genetic changes in the miRNA genes, which interfere with the vital biological processes that result in AMI. Using allele-specific PCR, the aim of the study is to examine the association of the variants (rs2910164, rs4636297, and rs895819) in MIR146A, MIR126, and MIR27A with AMI susceptibility. A difference in genotype distribution among the patients and control for variation rs2910164 was identified by co-dominant [χ2 = 68.34,2; P value<0.0001], dominant (G/G vs G/C + C/C) [OR = 4.167 (2.860-6.049); P value<0.0001], recessive (C/C vs G/C + G/G) [OR = 0.2584 (0.1798-0.3731); P value<0.0001], and additive models [OR = 3.847 (2.985-4.959); P value<0.0001]. Whereas the association of rs4636297 was investigated by co-dominant [χ2 = 6.882,2; P value = 0.0320], dominant (G/G vs G/A + A/A) [OR = 0.6914 (0.4849-0.9948); P value = 0.0489], recessive (A/A vs A/G + G/G) [OR = 2.434 (0.9849-5.616830); P value = 0.0595], and additive models [OR = 0.7716 (0.6000-0.9918); P value = 0.0433]. Similarly, association of rs895819 was determined by co-dominant [χ2 = 5.277, 2; P value = 0.0715], dominant (G/G vs G/A + A/A) [OR = 1.654(0.9819-2.801); P value = 0.06440], recessive (A/A vs A/G + G/G) [OR = 0.7227 (0.5132-1.022); P value = 0.0748], and additive models [OR = 1.3337 (1.041-1.719); P value = 0.0233]. The results of this study found a significant association of rs2910164 and rs4636297 with AMI and are considered as the risk factor for AMI in the Pakistani population. We observed no significant association of the variant MIR27A (rs895819) with AMI incidence.

Low expression of Notch1 may be associated with acute myocardial infarction.

The transmembrane protein Notch1 is associated with cell growth, development, differentiation, proliferation, apoptosis, adhesion, and the epithelial mesenchymal transition. Proteomics, as a research method, uses a series of sequencing techniques to study the composition, expression levels, and modifications of proteins. Here, the association between Notch1 and acute myocardial infarction (AMI) was investigated using proteomics, to assess the possibility of using Notch1 as a biomarker for the disease. Fifty-five eligible patients with AMI and 74 with chronic coronary syndrome (CCS) were enrolled, representing the experimental and control groups, respectively. The mRNA levels were assessed using RT-qPCR and proteins were measured using ELISA, and the results were compared and analyzed. Notch1 mRNA levels were 0.52 times higher in the peripheral blood mononuclear cells of the AMI group relative to the CCS group (p < 0.05) while Notch1 protein levels were 0.63 times higher in peripheral blood plasma in AMI patients (p < 0.05). Notch1 levels were not associated with older age, hypertension, smoking, high abdominal-blood glucose, high total cholesterol, and high LDL in AMI. Logistic regression indicated associations between AMI and reduced Notch1 expression, hypertension, smoking, and high fasting glucose. Notch1 expression was reduced in the peripheral blood of patients with AMI relative to those with CCS. The low expression of Notch1 was found to be an independent risk factor for AMI and may thus be an indicator of the disease.

GIS Environment Based Study of Acute Myocardial Infarction Incidence and Associated Risk Factors at a Major Referral Cardiac Center in Twin City of Rawalpindi and Islamabad, Pakistan

Background: Acute Myocardial Infarction (AMI) is a critical cardiac condition characterized by sudden blood flow blockage to the heart. Previous research indicates associations between AMI risk and factors such as age, gender, lifestyle habits, and preexisting medical conditions. Methods: This cross-sectional spatial analysis study aims to explore the geographically diverse incidence of AMI and associated risk factors in the twin cities of Islamabad and Rawalpindi. Data from 500 AMI patients, collected in April 2022 from a major cardiac center, were analyzed using the Chi-square test to assess associations between AMI risk factors. Results: Significant associations were identified between the lifestyle of AMI patients and diabetes (p = 0.002), and a highly significant association of age was found with diabetes, hypertension, and smoking (p = 0.000). This pioneering spatial analysis of AMI incidence provides valuable insights for developing national health interventions in Pakistan. Conclusion: This study addresses the significant concern of AMI incidence and associated risk factors in data-sparse Pakistan. Utilizing Geographical Information System (GIS), it offers a spatial understanding of AMI distribution and patterns, paving the way for future cardiovascular health research in the country.

Association of RARRES2 rs17173608 gene polymorphism and serum Chemerin with acute myocardial infarction and its risk factors: A case-control study in an Iranian population

ObjectiveThe adipokine Chemerin and the retinoic acid receptor responder 2 (RARRES2) gene have been associated with an increased incidence of obesity, insulin resistance, endothelial dysfunction, type 2 diabetes mellitus, and coronary artery disease. The impact of RARRES2 rs17173608 gene polymorphism on acute myocardial infarction and Chemerin levels has not yet been entirely elucidated. This study aimed to assess the association of RARRES2 rs17173608 gene polymorphism and serum Chemerin with acute myocardial infarction (AMI) and its risk factors in an Iranian population. MethodsIn this case-control study, 134 AMI patients and 100 healthy controls were recruited from tertiary referral hospitals in Zanjan, Iran. Whole blood samples were collected for DNA extraction and Chemerin level determination. An enzyme-linked immunosorbent assay was used to quantify plasma levels of Chemerin. Tetra‐primer amplification refractory mutation system‐polymerase chain reaction and agarose gel electrophoresis techniques were used to detect gene polymorphism of Chemerin rs17173608 from DNA samples. ResultsSerum Chemerin levels were higher in the control group than in the AMI group. However, after adjusting for age, sex, and other risk factors, there was no significant association between serum Chemerin level and AMI occurrence. In the genotype analysis, 21.6% of patients had the TT genotype, and 78.4% had the TG genotype. The GG genotype was not detected in any patient. The genotype distribution of the healthy control group was 19.0% TT genotype, 80.0% TG genotype, and 1.0% GG genotype. Serum Chemerin levels in participants with TG genotype were statistically different between case and control groups. ConclusionSerum Chemerin levels and RARRES2 rs17173608 gene polymorphism were not correlated with AMI occurrence after adjusting for AMI risk factors in Iranian patients. More research with a larger sample size and diverse ethnicities is needed to corroborate our findings.

FSTL3 partially mediates the association of increased nonalcoholic fatty liver disease fibrosis risk with acute myocardial infarction in patients with type 2 diabetes mellitus

BackgroundThe study aimed to investigate an association of increased liver fibrosis with acute myocardial infarction (AMI), and to investigate the mediating effect of serum follistatin-like protein 3 (FSTL3) on the association in patients with type 2 diabetes mellitus (T2DM).MethodA total of 1424 participants were included in this study, and were firstly divided into two groups: 429 T2DM patients and 995 T2DM patients with NAFLD to assess the association of NAFLD and AMI. Then 995 T2DM co-existent NAFLD patients were categorized by NAFLD fibrosis risk to explore the association between NAFLD fibrosis risk and AMI. Immunohistochemistry staining and semi-quantitative analysis of liver FSTL3 were performed in 60 patients with NAFLD. There were 323 individuals (191 without AMI and 132 with AMI) in T2DM co-existent NAFLD patients who had serum samples, and serum FSTL3 was tested and mediation effect of FSTL3 in association of NAFLD fibrosis and AMI was performed.ResultsFirst, increased NAFLD fibrosis risk was an independent risk factor for AMI in patients with T2DM and co-existent NAFLD. In addition, analysis of Gene Expression Omnibus (GEO) database and immunohistochemical staining confirmed the increased expression of FSTL3 in the liver of NAFLD patients with fibrosis. Serum FSTL3 significantly increased in patients with high NAFLD fibrosis risk and AMI, and closely associated with NAFLD fibrosis and AMI severity in T2DM patients with co-existent NAFLD. Most importantly, analysis of the level of mediation revealed that increased serum FSTL3 partially mediated the association of increased NAFLD fibrosis risk with AMI in T2DM patients with co-existent NAFLD.ConclusionsNAFLD fibrosis was closely associated with AMI in T2DM patients. FSTL3 expression was enriched in the liver of NAFLD patients with significant and advanced fibrosis, and serum FSTL3 partially mediated the association of increased liver fibrosis risk with AMI in T2DM patients.

Targeted Plasma Metabolomics Reveals Association of Acute Myocardial Infarction Risk with the Dynamic Balance between Trimethylamine-N-oxide, Betaine, and Choline.

The relationship between trimethylamine-N-oxide (TMAO), betaine, and choline with acute myocardial infarction (AMI) end point remains unclear. We analyzed plasma TMAO, betaine, and choline concentrations in AMI cases and non-AMI community-dwelling controls by LC-MS/MS to understand how the balance between these metabolites helps to reduce AMI risk. Results showed that the odds ratio (OR) for the highest versus lowest quartiles of betaine was 0.30 (95% CI, 0.10-0.82) after adjustment for AMI risk factors, and the unadjusted OR for quartile 3 versus quartile 1 of TMAO was 2.47 (95% CI, 1.02-6.17) (p < 0.05). The study populations with "high betaine + low TMAO" had a significant protective effect concerning AMI with a multivariable-adjusted OR of 0.20 (95% CI, 0.07-0.55) (p < 0.01). Multivariate linear regression showed that the chronological age was correlated with TMAO concentrations among AMI patients (95% CI, 0.05-3.24, p < 0.01) but not among the controls. This implies a further potential interplay between age and metabolite combination─AMI risk association.

The Incidence and Risk Factors of Acute Myocardial Infarction Among Patients with Gastrointestinal bleeding: A Retrospective Study.

Patients with gastrointestinal bleeding (GIB) and acute myocardial infarction (AMI) have higher mortality than that with either GIB or AMI alone. The aims of this study were to determine the incidence and risk factors of AMI in patients with GIB. From January 2015 to January 2018, we retrospectively studied 1287 patients with GIB in Renmin Hospital of Wuhan University. Various demographic, laboratory and outcome data were reviewed by charts. Thirty-seven patients had AMI and were placed in AMI group and the rest 1250 patients were in non-AMI group. Patients with AMI were more likely to be older than 70 years, have hypertension, coronary heart disease, chronic kidney disease, and have the recent history of taking aspirin before admission. The ROC curve of hemoglobin (HB) on admission showed area under curve was 0.762, the optimal cut-off value is 76.5g/L. Logistic regression analysis showed that age ≥ 70 years old, coronary heart disease and HB < 76.5g/L on admission were independent risk factors of AMI in patients with GIB. The mortality of patients during hospitalization in AMI group and in non-AMI group were 45.95% and 5.48%, respectively. Patients who displayed a history of liver disease and HB < 76.5g/L on admission had a higher death rate. GIB increased the risk of subsequent AMI, especially in patients over 70 years old, with history of coronary heart disease and HB < 76.5g/L on admission. Patients with GIB and AMI who had history of liver disease and HB < 76.5g/L on admission had a higher mortality rate. Clinicians should identify the high-risk patients of AMI among the GIB population early and prevent AMI.

Pathophysiological Mechanisms and Pharmaceutical Interventions of Myocardial Infarction with Depression

Review Pathophysiological Mechanisms and Pharmaceutical Interventions of Myocardial Infarction with Depression Mingyang Xu 1, Yinxiang Wei 2, Zhenhui Wang 1, Yaohui Wang 2, Xiaoming Zhong 3,*, and Qiying Chen 4,* 1 School of medicine, Henan University, Kaifeng 475000, China. 2 Joint National Laboratory for Antibody Drug Engineering, Henan University, Kaifeng 475004, China. 3 Department of Cardiology, Huaihe Hospital of Henan University, Kaifeng 475000, China. 4 Department of Cardiology, Huashan Hospital, Fudan University, Shanghai 200040, China. * Correspondence: Xiaoming Zhong (zxm10020202@126.com); Qiying Chen (chenqiying@huashan.org.cn) Received: 23 March 2023 Accepted: 10 May 2023 Abstract: The strong association between acute myocardial infarction (AMI) and major depression disorder（MDD）is a universally accepted. Patients with AMI complicated by MDD often have poor prognosis. Most early studies focused on how AMI leads to MDD, but there are few reports on depression-induced AMI. In terms of mechanism, inflammation, the hypothalamic-pituitary-adrenal axis (HPA axis) and brain-gut axis may be involved in the occurrence and development of MDD after AMI. The inflammatory injury, abnormal sympathetic and vagal nerve activity, HPA axis overactivation, overeating and some therapeutic medicine administration in patients with MDD can also be risk factors for AMI. Both behavioral and pharmaceutical interventions are important for the treatment of AMI with MDD. More drugs are being developed and tested. At present, there are still many issues, needing to be addressed, in the diagnosis, pathogenesis, intervention strategies and therapeutic drugs for AMI with MDD. To aid clinical diagnosis and treatment, this review classifies the existing studies on AMI complicated with MDD, and also includes some of our considerations.

Clinical presentation and angiographic findings of acute myocardial infarction in young adults in Jazan region

BackgroundThere is a paucity of information about the clinical features and angiographic findings in young patients with acute myocardial infarction (MI), especially in the Arab Peninsula countries.ObjectiveThe aim of this study was to assess the proposed risk factors, clinical presentation, and angiographic findings of acute myocardial infarction in young adults.MethodsThis prospective study included young (range, 18 to 45 years) patients who presented with acute MI based on clinical evaluation, laboratory investigation, and electrocardiogram, and they underwent a coronary angiography procedure.Key findingsData of 109 patients with a diagnosis of acute MI were collected. Patients’ mean age was 39.98 ± 7.52 years (range, 31 to 45 years), and 92.7% (101) were male. Smoking was the highest risk factor in 67% of patients, obesity and overweight in 66%, sedentary lifestyle in 64%, dyslipidaemia in 33%, and hypertension in 28%. Smoking was the most common risk factor for acute MI in males (p = 0.009), whereas sedentary lifestyle was the most common risk factor in females (p = 0.028). Chest pain typical of acute MI was the most common presenting symptom in 96% of patients (p < 0.001). On admission, 96% of patients were conscious, and 95% were oriented. On angiography, the left anterior descending artery (LAD) was affected in 57%, the right coronary artery (RCA) was affected in 42%, and the left circumflex artery (LCX) was affected in 32% of patients. The LAD was severely affected in 44%, the RCA was severely affected in 25.7%, and the LCX was severely affected in 19.26% of patients (p < 0.001).ConclusionSmoking, obesity, sedentary lifestyle, dyslipidaemia, and hypertension were the most common risk factors for acute MI. Smoking was the most common risk factor in males and sedentary lifestyle in females. The LAD was the most commonly affected coronary artery, followed by the RCA and LCX arteries, with the same order for severity of stenosis.

Characteristics and outcomes of 795 patients with renal cell cancer following hospitalization for acute myocardial infarction.

e16516 Background: Renal cell cancer (RCC), as with many cancers, is associated with a hypercoagulable state as well as the potential risk of anemia that can lead to various cardio/cerebrovascular complications. Some of the treatments used in RCC like vascular endothelial growth factor (VEGF) inhibitors increase the thrombotic risk. Thus, the management of RCC patients following an episode of Acute Myocardial Infarction (AMI) can be more complex than that of the general population. We, therefore, conducted an in-depth analysis to study the characteristics and outcomes of AMI among RCC patients in the United States. Methods: We used the 2019 National Inpatient Sample (NIS), a yearly set of hospitalization records from the United States. Patients with a primary diagnosis of AMI and a diagnosis of RCC were identified. We excluded all patients below the age of 18 and those with other malignancies. Multiple patient characteristics were compared via Chi-Square tests. We also compared the odds of requiring Coronary artery bypass graft surgery (CABG) and Percutaneous coronary intervention (PCI) among the two groups. The overall mortality rate and adjusted odds ratios were estimated. Results: Our study found 633410 cases of AMI among adults in the United States in 2019. Among them, 795 (0.1%) had a diagnosis of RCC. A higher number of RCC patients were Male (75.5% vs. 62.7%, p &lt; 0.01), racially classified as White (77.1% vs. 73.0%, p &lt; 0.01), aged 60 or more (88.7% vs. 69.8%, p &lt; 0.01), covered by Medicare (72.3% vs. 56.1%, p &lt; 0.01), had hypertension (66.7% vs. 82.7%, p &lt; 0.01), were diabetics (45.9% vs. 41.4%, p &lt; 0.01) or had anemia (42.1% vs. 22.1%, p &lt; 0.01). A lower percentage of RCC patients underwent various procedures following their AMI, as only 6.3% underwent CABG (vs. 7.5% in the non-RCC group), and 27.6% (vs. 45.8% in the non-RCC group) underwent PCI. Patients with RCC were also older (71.62 years vs. 66.64 years, p &lt; 0.01), had a longer hospitalization (5.51 days vs.4.34 days, p &lt; 0.01), which was also associated with a more expensive mean hospital charge ($114572.98 vs. $106241.24). Unfortunately, we also found that the presence of RCC among AMI patients was also linked with a higher odds ratio of mortality (7.5% vs. 4.4%, aOR 1.643, 95% CI 1.249- 2.160, p &lt; 0.01). Conclusions: Our study confirms various differences in patient characteristics among AMI cases with and without RCC. While fewer RCC patients underwent procedures such as CABG or PCI, they experienced a less favorable outcome, including a longer and more costly stay and higher odds of in-hospital death. It is thus vital to screen RCC patients for potential risk factors for AMI, promote primary and secondary prevention measures, and improve hospitalization protocols to identify potential complications.

A biomarker discovery of acute myocardial infarction using feature selection and machine learning.

Acute myocardial infarction (AMI) or heart attack is a significant global health threat and one of the leading causes of death. The evolution of machine learning has greatly revamped the risk stratification and death prediction of AMI. In this study, an integrated feature selection and machine learning approach was used to identify potential biomarkers for early detection and treatment of AMI. First, feature selection was conducted and evaluated before all classification tasks with machine learning. Full classification models (using all 62 features) and reduced classification models (using various feature selection methods ranging from 5 to 30 features) were built and evaluated using six machine learning classification algorithms. The results showed that the reduced models performed generally better (mean AUPRC via random forest (RF) algorithm for recursive feature elimination (RFE) method ranges from 0.8048 to 0.8260, while for random forest importance (RFI) method, it ranges from 0.8301 to 0.8505) than the full models (mean AUPRC via RF: 0.8044). The most notable finding of this study was the identification of a five-feature model that included cardiac troponin I, HDL cholesterol, HbA1c, anion gap, and albumin, which had achieved comparable results (mean AUPRC via RF: 0.8462) as to the models that containing more features. These five features were proven by the previous studies as significant risk factors for AMI or cardiovascular disease and could be used as potential biomarkers to predict the prognosis of AMI patients. From the medical point of view, fewer features for diagnosis or prognosis could reduce the cost and time of a patient as lesser clinical and pathological tests are needed.

The usability of MCP-1, fetuin-A, TAS, and TOS levels in the diagnosis of acute myocardial infarction.

Our aims were to determine whether the levels of plasma monocyte chemotactic protein-1 (MCP-1), fetuin-A, serum total antioxidant status (TAS), and serum total oxidant status (TOS) are cardiac biomarkers and to clarify their relationship with each other in acute myocardial infarction (AMI). The study included 90 participants: 60 patients with AMI [30 with and 30 without ST-segment elevation myocardial infarction (STEMI)] and 30 cardiac patients without AMI. The diagnostic values of serum Hs-cTnT, MCP-1, fetuin-A, TAS, and TOS levels in predicting AMI were evaluated statistically. Median levels of MCP-1 [120.10 ng/L (interquartile range: 76.94-230.54 ng/L)] and TOS [2.89 U/MI (IQR: 2.31-3.94 U/Ml)] were statistically higher, and median levels of fetuin-A [433.52 mg/L (IQR: 387.89-584.49 mg/L)] and TAS (3.10 ± 0.86 U/mL) were lower in patients with AMI than in controls. The parameter with the area under the curve (0.815), sensitivity (73.3%), and specificity (66.7%) closest to those of Hs-cTnT was fetuin-A, followed by MCP-1, TOS, and TAS, respectively. A one-unit increase in MCP-1 levels increased the probability of AMI by 1.023 times (p = 0.002). A one-unit increase in fetuin-A levels decreased the probability of AMI by 0.995 times (p = 0.003). A one-unit increase in serum TOS levels was 1.29 times more characteristic of STEMI than of NSTEMI (p = 0.044). MCP-1, oxidative stress parameters, and fetuin-A might support Hs-cTnT levels in the early diagnosis of AMI. Fetuin-A and MCP-1 levels may be independent risk factors for AMI, whereas TOS could be used to distinguish STEMI from NSTEMI.

Effect of No-Reflow During Primary Percutaneous Coronary Intervention for Acute Myocardial Infarction on Six-Month Mortality

Background: No-reflow is a serious complication that can occur during primary percutaneous coronary intervention (PCI) for acute myocardial infarction (AMI). No-reflow is a frequent event during percutaneous coronary intervention (PCI) for acute myocardial infarction (AMI), and it may affect cardiac prognosis. Objectives: The main objective of the study is to find the effect of no-reflow during primary percutaneous coronary intervention for acute myocardial infarction on six-month mortality. Methods: This study was conducted at Ayub Teaching Hospital Abbottabad over a period of six months (1st January 2022 to 30th June 2022). A total of 130 patients who underwent primary PCI for AMI were included. The occurrence of no-reflow during the procedure was noted, and six-month mortality was recorded. Results: Of the 130 patients included in the study, 34 (26.2%) developed no-reflow during PPCI. The mean age of the patients was 58.5 ± 9.6 years, and 73.8% were male. The most common risk factors for AMI were hypertension (52.3%), smoking (45.4%), and diabetes (36.2%). There were no significant differences in baseline clinical and angiographic characteristics between patients with and without no-reflow. Conclusions: The occurrence of no-reflow during primary PCI for AMI is associated with a higher six-month mortality rate. Further research is needed to explore strategies to prevent or mitigate the occurrence of no-reflow during primary PCI for AMI. Keywords: AMI, No-reflow, Mortality, percutaneous coronary intervention (PCI)

Ambient Temperature Effect on Acute Myocardial Infarction by Risk Factors: Daily Data From 2000 to 2017, Taiwan

BackgroundA U-shaped relationship between temperature and acute myocardial infarction (AMI) was observed, but the risk factors were rarely included. ObjectivesThe authors sought to examine AMI’s cold and heat exposure after considering their risk groups. MethodsDaily data on ambient temperature, newly diagnosed AMI, and 6 known risk factors of AMI for the Taiwan population from 2000 to 2017 were created by linking 3 Taiwan national databases. Hierarchical clustering analysis was performed. Poisson regression was performed on the AMI rate with the clusters along with the daily minimum temperature in cold months (November-March) and the daily maximum temperature in hot months (April-October). ResultsThere were 319,737 patients with new-onset AMI over 109.13 billion person-days, corresponding to the incidence rate of 107.02 per 100,000 person-years (95% CI: 106.64-107.39 person-years). Hierarchical clustering analysis identified 3 distinct clusters (1: age <50 years, 2: age ≥50 years without hypertension, and 3: mainly age ≥50 years with hypertension) with AMI incidence rates of 16.04, 105.13, and 388.17 per 100,000 person-years, respectively. Poisson regression revealed that below 15 °C, cluster 3 had the highest risk of AMI per 1°C reduce in temperature (slope = 1.011) compared with clusters 1 (slope = 0.974) and 2 (slope = 1.009). However, above the 32 °C thresholds, cluster 1 had the highest risk of AMI per 1 °C increase in temperature (slope = 1.036) compared with clusters 2 (slope = 1.02) and 3 (slope = 1.025). Cross validation showed a good fit for the model. ConclusionsPeople ≥50 years of age with hypertension are more susceptible to cold-related AMI. However, heat-related AMI is more prominent in individuals <50 years of age.

A STUDY OF CLINICAL PRESENTATION AND RISK FACTORS FOR ACUTE MYOCARDIAL INFARCTION IN PATIENTS BELOW 40 YEARS AT A TERTIARY CARE CENTRE

INTRODUCTION: Coronary Artery Disease (CAD) in young Indians, which accounts for 12-16% of cases in people below 45 years old and contributes to 50% of CAD-related deaths in those below 50 years. Traditional risk factors for CAD as hypertension and smoking explain most cases of CAD, but 15-20% have no identifiable risk factors. Recent studies show elevated Lp(a) and hyperhomocysteinemia play a role in MI and that measuring Apo B and Apo A1 is better than measuring LDL-C and HDL-C. The true prevalence of CAD in the young is understated and this study aims to determine the association of newly identified and traditional risk factors with premature onset of CAD in those 40 years or younger.Method: This was a prospective, observational study conducted in the department of general medicine at Jhalawar Medical College on 50 patients who had suffered an acute myocardial infarction.A comprehensive evaluation was performed using a pre-test proforma that included a detailed clinical history, physical examination, electrocardiography, biochemical analysis, and an echocardiographic evaluation.Results: The majority of patients (60%) were in the age range of 35-40 years,with the youngest being 19 years old.88% of the patients were male and the mean age for female patients was 36.17 years and for males, it was 34.02 years.The most common symptom in young patients was chest pain (90%),followed by sweating (52%) and breathlessness (30%).The most common risk factor for MI was tobacco abuse (86%), followed by a positive family history of CAD (16%) and a high BMI (8%).The majority of patients (72%) had multiple risk factors for AMI,24% had a single risk factor,and 4% had none.The homocysteine level was above normal in 42% of patients, with 2% having a high risk. Conclusion: Our study highlights the importance of addressing risk factors for better patient outcomes in the case of Acute Myocardial Infarction (AMI).To address the high prevalence of cigarette smoking in young adults,preventive educational programs and smoking cessation clinics need to be established.Medical personnel should prioritize educating the youth on diabetes and cholesterol management

The link between different infection forms of Porphyromonas gingivalis and acute myocardial infarction: a cross-sectional study

BackgroundPorphyromonas gingivalis (Pg) is one of the keystone pathogens involved in periodontitis. The present study aimed to observe the relationship among different infection forms of Pg, systemic inflammation, and acute myocardial infarction (AMI).MethodsA total of 382 patients diagnosed with AMI and 78 patients without coronary heart disease (CHD) were included in the study. DNA from exfoliated oral cells, circulating cell-free DNA (cfDNA), and genomic DNA (gDNA) from blood samples were extracted. The qPCR method was employed to detect Pg infection. Clinical characteristics, inflammatory parameters, and severity of coronary artery lesions of the patients were analyzed and compared.ResultsBoth the oral colonization and distant invasion of Pg correlated positively with systemic inflammation. Multivariate logistic regression analysis suggested that Pg positivity in gDNA was correlated with the risk of AMI [Model 1 (odds ratio (OR) = 1.917, 95% confidence interval (CI) 1.108–3.315), Model 2 (OR = 1.863, 95% CI 1.064–3.262), and Model 3 (OR = 1.853, 95% CI 1.042–3.295); p < 0.05]. Pg positivity in cfDNA and gDNA was related to the severity of coronary artery lesions (cfDNA-positive cases, adjusted OR = 1.577, p < 0.05; gDNA-positive cases, adjusted OR = 1.976, p < 0.01).ConclusionsThe distant invasion and colonization of Pg were the risk factors of AMI. They also affected the severity of CHD, indicating that periodontitis severity and distant invasion of periodontal pathogens were related to CHD. The presence of Pg was likely able to drive systemic inflammation, suggesting that there was an inflammatory relationship between periodontitis and AMI.