scholarly journals Cardiovascular Disease Behavioural Risk Factors in Rural Interventions: Cross-Sectional Study.

2021 ◽  
Author(s):  
Adewale S. Akinosun ◽  
Sylvia Kamya ◽  
Jonathan Watt ◽  
William Johnston ◽  
Stephen J. Leslie ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Percutaneous Coronary Intervention ◽  
Risk Factor ◽  
Coronary Intervention ◽  
Cross Sectional Study ◽  
Multiple Risk Factor ◽  
Cross Sectional ◽  
Behavioural Risk Factors ◽  
Percutaneous Coronary

Abstract Aims:This study aims to 1) assess the prevalence of cardiovascular disease (CVD) behavioural risk factors in patients who have undergone percutaneous coronary intervention (PCI) 2) identify target risk factor(s) for behaviour modification intervention, and 3) develop an analytical model to define cluster(s) of risk factors which could help make any generic intervention more targeted to the local patient population.Subject and Methods:Study patients with at least one CVD behavioural risk factors living in a rural region. The study used STROBE methodology for cross-sectional studies. Demographic and clinical data of patients (n=2025) were collected at the point of admission for PCI between 04.01.2016 to 31.12.2019. Collected data distributions were analysed by CVD behavioural risk factors for prevalence, associations, and direction of associations. Cluster definition was measured by assignment of a unit score each for overall level of prevalence and significance of associations, and general logistics modelling for direction and significance of risk.Results:The mean (SD) age was 69.47(±10.93) years [95% CI (68.99 - 69.94)]. The key risk factors were hyperlipidaemia, hypertension, and elevated body mass index (BMI). Approximately 40% of the population have multiple risk factor counts of two. Analytical measures revealed a population risk factor cluster with elevated BMI [77.5% (1570/2025)] that is mostly either hyperlipidaemic [9.43%, co-eff. (17), P=.007] or hypertensive [22.72%, co-eff. (17), P=.99] as key risk factor clusters.Conclusion:Carefully modelled analyses revealed clustered behavioural risk associated with elevated BMI. This information would support a strategy for applying targeted clusters in novel interventions to improve implementation efficiency.Conclusion: Risk factors, cardiovascular disease, obesity, and percutaneous coronary intervention.

scholarly journals Incidence and risk factors of delirium after percutaneous coronary intervention in individuals hospitalised for acute myocardial infarction: protocol for a systematic review and meta-analysis

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e044564
Author(s):  
Kaizhuang Huang ◽  
Jiaying Lu ◽  
Yaoli Zhu ◽  
Tao Cheng ◽  
Dahao Du ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Systematic Review ◽  
Acute Myocardial Infarction ◽  
Percutaneous Coronary Intervention ◽  
Risk Factor ◽  
Meta Analysis ◽  
Coronary Intervention ◽  
Cochrane Library ◽  
Percutaneous Coronary

IntroductionDelirium in the postoperative period is a wide-reaching problem that affects important clinical outcomes. The incidence and risk factors of delirium in individuals with acute myocardial infarction (AMI) after primary percutaneous coronary intervention (PCI) has not been completely determined and no relevant systematic review and meta-analysis of incidence or risk factors exists. Hence, we aim to conduct a systematic review and meta-analysis to ascertain the incidence and risk factors of delirium among AMI patients undergoing PCI.Methods and analysesWe will undertake a comprehensive literature search among PubMed, EMBASE, Cochrane Library, PsycINFO, CINAHL and Google Scholar from their inception to the search date. Prospective cohort and cross-sectional studies that described the incidence or at least one risk factor of delirium will be eligible for inclusion. The primary outcome will be the incidence of postoperative delirium. The quality of included studies will be assessed using a risk of bias tool for prevalence studies and the Cochrane guidelines. Heterogeneity of the estimates across studies will be assessed. Incidence and risk factors associated with delirium will be extracted. Incidence data will be pooled. Each risk factor reported in the included studies will be recorded together with its statistical significance; narrative and meta-analytical approaches will be employed. The systematic review and meta-analysis will be presented according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses.Ethics and disseminationThis proposed systematic review and meta-analysis is based on published data, and thus there is no requirement for ethics approval. The study will provide an up to date and accurate incidence and risk factors of delirium after PCI among patients with AMI, which is necessary for future research in this area. The findings of this study will be disseminated through publication in a peer-reviewed journal.PROSPERO registration numberCRD42020184388.

Frequency and impact of slow flow / no flow in primary percutaneous coronary intervention

2021 ◽  
Author(s):  
Ghazanfer Ali Shah ◽  
Tooba malik ◽  
Sadaf Farooqi ◽  
Salman Ahmed ◽  
Khadijah Abid
Keyword(s):  
Myocardial Infarction ◽  
Percutaneous Coronary Intervention ◽  
Primary Percutaneous Coronary Intervention ◽  
Smoking Status ◽  
Coronary Intervention ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Percutaneous Coronary ◽  
St Elevation ◽  
Antegrade Flow

Objectives: To determine the frequency of slow/no flow in primary percutaneous coronary intervention, to know the clinical and angiographical predictors of the phenomenon, and to investigate the immediate impact of slow/no flow on hemodynamics. Method: The cross-sectional study was conducted at the National Institute of Cardiovascular Diseases, Karachi, from June 2018 to July 2019, and comprised patients presenting with ST elevation myocardial infarction who underwent primary percutaneous coronary intervention. Demographic and clinical details of the patients were recorded. The antegrade flow was assessed and determined using the thrombolysis in myocardial infarction criterion. Patients were assessed for the occurrence, predictors and impact of slow/no flow. Data was analysed using SPSS 21. Results: Of the 559 patients, 441(78.9%) were males. The overall mean age of the sample was 55.86±11.07 years. Angiographical slow/no flow during the procedure occurred in 53 (9.5%) patients, while normal flow was achieved in 506(90.5%). The thrombolysis in myocardial infarction grade in the affected patients was 0 in 10(1.8%), 1 in 15(2.7%), and 2 in 28(5%) patients. Smoking status, Continuous...

scholarly journals The association of mean platelet volume to lymphocyte ratio and noreflow in patients with myocardial infarction undergoing primary percutaneous coronary intervention

2020 ◽  
Vol 8 (1) ◽  
pp. 16-16
Author(s):  
Ahmad Separham ◽  
Pooyan dehghani ◽  
Amir Arsalan Akbari
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Percutaneous Coronary Intervention ◽  
Coronary Intervention ◽  
Morbidity Rate ◽  
Cross Sectional ◽  
Mortality And Morbidity ◽  
Lymphocyte Ratio ◽  
No Reflow ◽  
Percutaneous Coronary

Introduction: The acute coronary events are one of the most common problems which are accounted to higher mortality and morbidity rate around the world. The underlying mechanism is related to occlusion, and the best therapy is to reopen the affected vessels. Many factors can influence the outcomes of percutaneous coronary intervention (PCI). Methods: This cross-sectional study was conducted on 845 cases with acute myocardial infarction (AMI) undergoing PCI for evaluation of the "No-Reflow" phenomenon who were referred to Shahid Madani hospital in 2018. All demographic, laboratory and angiographic studies were evaluated. The obtained data were recorded and analyzed by SPSS 21. Results: Among 845 patients with STEMI, the incidence of angiographic no-reflow was 28% (n = 245). The older cases with co-morbid diseases and cardiac-related risk factors were considered as vulnerable to no-reflow after PCI. The other parameters were partially decisive factors for the prediction of no-reflow and mortality rate, such as higher MPV and MPV to lymphocyte ratio. Conclusion: The coronary artery involvement is a troublesome event because of the established heart risk factors, and sometimes treating it with PCI could be complicated due to no-reflow. The simple predictors (i.e., MPV to lymphocyte ratio) could help us reduce morbidity and mortality.

Comparison between Atorvastatin and Rosuvastatin on Secondary Percutaneous Coronary Intervention Rate and the Risk Factors in Patients with Coronary Heart Disease

2020 ◽  
Vol 21 (10) ◽  
pp. 818-828
Author(s):  
Jie Zhang ◽  
Jiaqi Wang ◽  
Han Yu ◽  
Guanghua Wang ◽  
Junfang Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Percutaneous Coronary Intervention ◽  
Risk Factor ◽  
Heart Disease ◽  
Protective Factor ◽  
Disease Risk ◽  
Coronary Intervention ◽  
Cox Proportional Hazards ◽  
Percutaneous Coronary

Background : Statins are effective for patients with decreased low-density lipoprotein therapy. Objective: The aim is to compare atorvastatin versus rosuvastatin on secondary percutaneous coronary intervention (PCI) rate and explore risk factors in coronary heart disease (CHD) patients. Methods : A cohort study with 283 CHD subjects was launched from 2011 to 2015. Cox proportional hazards regression model, Receiver Operating Characteristic (ROC) and nomogram were used to compare the effect of atorvastatin and rosuvastatin on secondary PCI rate and disease risk factors. Even why the two statins had different effects based on gene expression profile analysis has been explored. Results: Gene FFA (Freely fatty acid), AST (Aspartate Transaminase) and ALT (Alanine transaminase) showed the statistical difference between the four statin groups (P<0.05). In the AA group (Continuous Atorvastatin usage), albumin was a risk factor (Hazard Ratio (HR):1.076, 95%CI (1.001, 1.162), p<0.05). In the AR group (Start with Atorvastatin usage, then change to Rosuvastatin usage), ApoA was a protective factor (HR:0.004, 95%CI (0.001, 0.665), p<0.05). GLB (Galactosidase Beta) was a risk factor (HR:1.262, 95%CI (1.010, 1.576), p<0.05). In RR group (Continuous Rosuvastatin usage), ApoE was a protective factor (HR:0.943, 95%CI (0.890, 1.000), p<0.05). ALT was a risk factor (HR:1.030, 95%CI (1.000, 1.060), p<0.05). Conclusion : : Patients in the RA group had the lowest secondary PCI rate. ALT was a risk factor in the RR group. Gene Gpt (Glutamic Pyruvic Transaminase) encoded for one subtype of ALT had a significantly different expression in different statin groups.

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