Abstract P211: A Method to Impute Life-course Trajectories of Cardiovascular Risk Factors from Pooled Cohorts Data

Introduction: Cumulative exposure to cardiovascular disease (CVD) risk factors during young adulthood is associated with later life CVD risk. Few prospective cohort studies measured exposures in young adulthood. We sought to develop and validate a method to impute trajectories of CVD risk factors across the life course. Methods: 36,546 participants (55% women, 25% black, average exams 5.1/participant) from 6 studies (ARIC, CARDIA, CHS, Framingham Offspring, Health ABC, and MESA) were included. Demographics and CVD risk factors (BMI, smoking, BP, lipids, glucose, medications for BP, lipids and glucose) were collected at each exam and harmonized across cohorts. We multiply imputed complete risk factor trajectories from age 18 to 99 years for each participant using an extension of linear mixed modeling (for continuous variables) and interval-censored survival modeling (for categorical variables), taking into account the multilevel structure of data. For validation, we randomly selected 25% of all participants and deleted their observed data for exam age 20-35, 50-65, or 80-95 years. We then imputed risk factor values for deleted age periods and compared imputed values with directly observed values. Results: Imputed values were relatively consistent with observed values for BMI, SBP, LDL, and glucose, particularly in young and middle ages ( Figure ). The mean (standard deviation) of the difference between imputed vs. observed values for BMI, SBP, LDL, and glucose were 0.1 (2.7) kg/m 2 , 0.9 (16.3) mm Hg, -1.1 (30.2) mg/dL, and -0.6 (23.0) mg/dL. The prevalence of imputed smoking, diabetes, and medications were also consistent with observed data. Conclusions: We demonstrated a validated method for estimating CVD risk factor trajectories across the life course. This approach may advance understanding of potential impact of cumulative early risk factor exposures on later life CVD risk, and inform primary prevention strategies over the life course. Figure. Mean and prevalence of observed vs. imputed risk factors by age periods 2

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Prevalence and Clustering of Cardiovascular Risk Factors among Medical Staff in Northeast China

Healthcare ◽

10.3390/healthcare9091227 ◽

2021 ◽

Vol 9 (9) ◽

pp. 1227

Author(s):

Jianxing Yu ◽

Huanhuan Jia ◽

Zhou Zheng ◽

Peng Cao ◽

Xihe Yu

Keyword(s):

Risk Factors ◽

Risk Factor ◽

Medical Staff ◽

Northeast China ◽

Multiple Logistic Regression Analysis ◽

Public Hospitals ◽

Categorical Variables ◽

Cvd Risk Factors ◽

Cvd Risk ◽

General Hospitals

Background: The clustering of cardiovascular disease (CVD) risk factors has become a major public health challenge worldwide. Although many studies have investigated CVD risk factor clusters, little is known about their prevalence and clustering among medical staff in Northeast China. This study aimed to estimate the prevalence and clustering of CVD risk factors and to investigate the association between relevant characteristics and the clustering of CVD risk factors among medical staff in Northeast China. Methods: A cross-sectional survey of 3720 medical staff from 93 public hospitals in Jilin Province was used in this study. Categorical variables were presented as percentages and were compared using the χ2 test. Multiple logistic regression analysis was used to evaluate the association between relevant characteristics and the clustering of CVD risk factors. Results: The prevalence of hypertension, diabetes, dyslipidemia, being overweight, smoking, and drinking were 10.54%, 3.79%, 17.15%, 39.84%, 9.87%, and 21.75%, respectively. Working in a general hospital, male, and age group 18–44 years were more likely to have 1, 2, and ≥3 CVD risk factors, compared with their counterparts. In particular, compared with being a doctor, being a nurse or medical technician was less likely to have 1, 2, and ≥3 CVD risk factors only in general hospitals. Conclusions: The findings suggest that medical staff of general hospitals, males, and older individuals have a high chance associated with CVD risk factor clustering and that more effective interventions should be undertaken to reduce the prevalence and clustering of CVD risk factors, especially among older male doctors who work in general hospitals.

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Self-Reported Modifiable Risk Factors of Cardiovascular Disease among Seafarers: A Cross-Sectional Study of Prevalence and Clustering

Journal of Personalized Medicine ◽

10.3390/jpm11060512 ◽

2021 ◽

Vol 11 (6) ◽

pp. 512

Author(s):

Getu Gamo Sagaro ◽

Gopi Battineni ◽

Marzio Di Canio ◽

Francesco Amenta

Keyword(s):

Risk Factors ◽

Risk Factor ◽

Cross Sectional Study ◽

Categorical Variables ◽

Modifiable Risk Factors ◽

Sectional Study ◽

Cvd Risk Factors ◽

Cvd Risk ◽

Cross Sectional ◽

Job Duration

Background: Cardiovascular diseases (CVD) are the major cause of work-related mortality from diseases onboard ships in seafarers. CVD burden derives mainly from modifiable risk factors. To reduce the risk factors and the burden of CVD onboard ships in seafarers, it is important to understand the up-to-date prevalence of modifiable risk factors. The primary purpose of this study was to assess the prevalence and clustering of self-reported modifiable CVD risk factors among seafarers. We have also explored the association between socio-demographic and occupational characteristics and reported modifiable CVD risk factor clustering. Materials and methods: A cross-sectional study was conducted among seafarers from November to December 2020 on board ships. In total, 8125 seafarers aged 18 to 70 were selected from 400 ships. Data were collected using a standardized and anonymous self-reported questionnaire. The prevalence value for categorical variables and mean differences for continuous variables were compared using chi-square and independent sample t-tests. Multinomial logistic regression models were performed to identify independent predictors for modifiable CVD risk factor clustering. Results: Out of a total of 8125 seafarers aged ≥18 years on selected vessels, 4648 seafarers volunteered to participate in the survey, with a response rate of 57.2%. Out of 4318 participants included in analysis, 44.7% and 55.3% were officers and non-officers, respectively. The prevalence of reported hypertension, diabetes, current smoking and overweight or obesity were 20.8%, 8.5%, 32.5%, and 44.7%, respectively. Overall, 40%, 20.9%, 6% and 1.3% of the study participants respectively had one, two, three and four modifiable CVD risk factors. Older age (51+ years) (odds ratio (OR): 3.92, 95% confidence interval (CI): 2.44–6.29), being non-officers (OR: 1.36, 95% CI: 1.09–1.70), job duration (10–20 years) (OR: 2.73, 95% CI: 2.09–3.57), job duration (21+ years) (OR: 2.60, 95% CI: 1.79–3.78), working 57–70 h per week (OR: 2.03, 95% CI: 1.65–2.49) and working 71+ h per week (OR: 3.08, 95% CI: 2.42–3.92) were independent predictors for at least two self-reported modifiable CVD risk factor clustering. Conclusion: The results of our study demonstrate that more than four in six (68.5%) seafarers aged between 19 and 70 years have at least one of the modifiable CVD risk factors. Therefore, CVD prevention and modifiable risk factors reduction strategies targeting high-risk groups should be designed and implemented on board ships.

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Abstract P400: The Association Between Cross-sex Hormone Therapy and Cardiovascular Disease Risk Factors Among Male-to-female Transgender Persons in Chiang Mai, Thailand

Circulation ◽

10.1161/circ.141.suppl_1.p400 ◽

2020 ◽

Vol 141 (Suppl_1) ◽

Author(s):

Rebecca L Molinsky ◽

Kanokwan Kulprachakarn ◽

Sakaewan Ounjaijean ◽

Ryan Demmer ◽

Kittipan Rerkasem

Keyword(s):

Risk Factors ◽

Cardiovascular Disease ◽

Risk Factor ◽

Hormone Therapy ◽

Sex Hormone ◽

Cvd Risk Factors ◽

Cvd Risk ◽

Transgender Persons ◽

The Relationship ◽

Male To Female

Background: Cross-sex hormone therapy (CSHT) is prescribed to transition secondary sexual characteristics among individuals undergoing male-to-female (MtF) transitions (age range 18-41, mean age=24). Limited data exist to inform the cardiovascular disease (CVD) risk factor profile associated with CSHT. We investigated the relationship between CSHT and cardiovascular risk factors in MtF transgender persons and hypothesize that CSHT will be associated with adverse CVD risk factor profiles. Methods: A cross-sectional study was conducted from October 1 st , 2018 to November 30 th , 2018 in 100 MtF transgender people not receiving CSHT vs. 100 receiving CSHT. CSHT use was defined by self-report use of up to 23 medications. Serum testosterone and 17-beta estradiol were assessed to validate CSHT use. Systolic and diastolic blood pressure was measured. Lipid profiles, fasting plasma glucose (FPG), C-reactive protein, cardiac troponin I and pro b-type natriuretic peptide (proBNP) were assessed from fasting blood. Non-invasive arterial examinations included: carotid intima-media thickness (CIMT), ankle-brachial index (ABI), cardio-ankle vascular index (CAVI), and pulse wave velocity (PWV). Multivariable linear regression models, regressed CVD risk factors on CSHT status. Among the subgroup of CSHT users, we assessed the relationship between duration of use and CVD risk factors. Multivariable models included age, gender, education, income, drinking, smoking, exercise, and BMI. Results: Participant mean age was 24±0.38 years and did not differ by CSHT use. Mean±SE values of testosterone were in the CSHT vs. control group were 4.8±0.3 vs. 5.8±0.3 ng/ml, p=0.06 and 17-beta estradiol levels were 45.6±14.9 vs. 34.7±14.8, p=0.7). CIMT was modestly lower among CSHT vs. controls (0.35±0.01 vs. 0.38±0.01, p=0.09). The average duration of CSHT use was 6.65±0.522 years. Among CSHT users, for every 1-year increase in duration of CSHT use total cholesterol decreased by -2.360 ± 1.096, p=0.0341 mg/dL, LDL-cholesterol decreased by -3.076 ± 1.182, p=0.0109 mg/dL, ABI decreased by -0.006 ± 0.002, p=0.0087 while FPG increased by 2.558 ± 0.899 mg/dL, p=0.0055. Conclusion: Among MtF transgender persons, using CSHT was not associated with increased CVD risk factors levels.

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Abstract 14592: Pregnancy Loss and Cardiovascular Disease Risk Factors in Early Adulthood: Preliminary Findings From Add Health

Circulation ◽

10.1161/circ.142.suppl_3.14592 ◽

2020 ◽

Vol 142 (Suppl_3) ◽

Author(s):

Yamnia I Cortes ◽

Shuo Zhang ◽

Diane C Berry ◽

Jon Hussey

Keyword(s):

Risk Factors ◽

Cardiovascular Disease ◽

Risk Factor ◽

Pregnancy Loss ◽

Recurrent Pregnancy Loss ◽

Early Adulthood ◽

Add Health ◽

Cvd Risk Factors ◽

Cvd Risk ◽

Live Births

Introduction: Pregnancy loss, including miscarriage and stillbirth, affect 15-20% of pregnancies in the United States annually. Accumulating evidence suggests that pregnancy loss is associated with greater cardiovascular disease (CVD) burden later in life. However, associations between pregnancy loss and CVD risk factors in early adulthood (age<35 years) have not been assessed. Objective: To examine associations between pregnancy loss and CVD risk factors in early adulthood. Methods: We conducted a secondary data analysis using the public-use data set for Wave IV (2007-2009) of the National Longitudinal Study of Adolescent to Adult Health (Add Health). Our sample consisted of women, ages 24-32 years, with a previous pregnancy who completed biological data collection (n=2,968). Pregnancy loss was assessed as any history of miscarriage or stillbirth; and as none, one, or recurrent (≥2) pregnancy loss. Dependent variables included physical measures and blood specimens: body mass index (BMI), blood pressure, diabetes status, and dyslipidemia. Associations between pregnancy loss and each CVD risk factor were tested using linear (for BMI) and logistic regression adjusting for sociodemographic factors, parity, pre-pregnancy BMI, smoking during pregnancy, and depression. Results: Six hundred and ninety-three women (23%) reported a pregnancy loss, of which 21% reported recurrent pregnancy loss. Women with all live births were more likely to identify as non-Hispanic White (73%) and report a higher annual income. After adjusting for sociodemographics (age, race/ethnicity, education, income), pregnancy loss was associated with a greater BMI (ß=0.90; SE,0.39). In fully-adjusted models, women with recurrent pregnancy loss were more likely to have hypertension (AOR, 2.50; 95%CI, 1.04-5.96) and prediabetes (AOR, 1.93; 95%CI. 1.11-3.37) than women with all live births; the association was non-significant for women with one pregnancy loss. Conclusions: Pregnancy loss is associated with a more adverse CVD risk factor profile in early adulthood. Findings suggest the need for CVD risk assessment in young women with a prior pregnancy loss. Further research is necessary to identify underlying risk factors of pregnancy loss that may predispose women to CVD.

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A life course approach for understanding later life sustainability

Oxford Textbook of Geriatric Medicine ◽

10.1093/med/9780198701590.003.0014 ◽

2017 ◽

pp. 103-110

Author(s):

Holly Syddall ◽

Avan Aihie Sayer

Keyword(s):

Physical Activity ◽

Risk Factors ◽

Life Course ◽

Grip Strength ◽

Optimal Strategies ◽

Later Life ◽

Present Evidence ◽

Considerable Evidence ◽

Life Course Approach ◽

The Life Course

This chapter describes a life course approach for understanding later life sustainability, focusing on grip strength as a marker of physical sustainability, and explaining how a life course approach recognizes that muscle strength in later life reflects not only rate of loss in later life, but also the peak attained earlier in life. We present evidence that risk factors operating throughout the life course have an impact on physical sustainability in later life with particular consideration of the effects of body size, socioeconomic position, physical activity, diet, and smoking. We have shown that low birth weight is associated with weaker grip strength across the life course and that there is considerable evidence for developmental influences on ageing skeletal muscle. Finally, a life course approach suggests opportunities for early intervention to promote later life physical sustainability; but optimal strategies and timings for intervention are yet to be identified.

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Smoking cessation is associated with lower disease activity and predicts cardiovascular risk reduction in rheumatoid arthritis patients

Rheumatology ◽

10.1093/rheumatology/kez557 ◽

2019 ◽

Vol 59 (8) ◽

pp. 1997-2004 ◽

Cited By ~ 4

Author(s):

Ida K Roelsgaard ◽

Eirik Ikdahl ◽

Silvia Rollefstad ◽

Grunde Wibetoe ◽

Bente A Esbensen ◽

...

Keyword(s):

Risk Factors ◽

Smoking Cessation ◽

Risk Factor ◽

Disease Activity ◽

Smoking Status ◽

Cvd Risk Factors ◽

Cvd Risk ◽

Never Smokers ◽

Event Rates ◽

Lower Disease Activity

Abstract Objectives Smoking is a major risk factor for the development of both cardiovascular disease (CVD) and RA and may cause attenuated responses to anti-rheumatic treatments. Our aim was to compare disease activity, CVD risk factors and CVD event rates across smoking status in RA patients. Methods Disease characteristics, CVD risk factors and relevant medications were recorded in RA patients without prior CVD from 10 countries (Norway, UK, Netherlands, USA, Sweden, Greece, South Africa, Spain, Canada and Mexico). Information on CVD events was collected. Adjusted analysis of variance, logistic regression and Cox models were applied to compare RA disease activity (DAS28), CVD risk factors and event rates across categories of smoking status. Results Of the 3311 RA patients (1012 former, 887 current and 1412 never smokers), 235 experienced CVD events during a median follow-up of 3.5 years (interquartile range 2.5–6.1). At enrolment, current smokers were more likely to have moderate or high disease activity compared with former and never smokers (P < 0.001 for both). There was a gradient of worsening CVD risk factor profiles (lipoproteins and blood pressure) from never to former to current smokers. Furthermore, former and never smokers had significantly lower CVD event rates compared with current smokers [hazard ratio 0.70 (95% CI 0.51, 0.95), P = 0.02 and 0.48 (0.34, 0.69), P < 0.001, respectively]. The CVD event rates for former and never smokers were comparable. Conclusion Smoking cessation in patients with RA was associated with lower disease activity and improved lipid profiles and was a predictor of reduced rates of CVD events.

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Reversal Rate of Clustering of Cardiovascular Disease Risk Factors of Metabolic Syndrome in the General Population: The Niigata Preventive Medicine Study

Journal of Obesity ◽

10.1155/2010/623593 ◽

2010 ◽

Vol 2010 ◽

pp. 1-5 ◽

Cited By ~ 3

Author(s):

Shinsuke Okada ◽

Akiko Suzuki ◽

Hiroshi Watanabe ◽

Toru Watanabe ◽

Yoshifusa Aizawa

Keyword(s):

Risk Factors ◽

Cardiovascular Disease ◽

Metabolic Syndrome ◽

Risk Factor ◽

Disease Risk ◽

Fasting Blood Glucose ◽

Reversal Rate ◽

Cvd Risk Factors ◽

Cvd Risk ◽

The Metabolic Syndrome

The reversal rate from clustering of cardiovascular disease (CVD) risk factors—components of the metabolic syndrome (MetS) is not known.Methods and Results. Among 35,534 subjects who received the annual health examinations at the NiigataHealth Foundation (Niigata, Japan), 4,911 subjects had clustering of 3 or more of the following CVD risk factors: (1) body mass index (BMI) ≥25 Kg/m2, (2) blood pressure ≥130 mm Hg in systolic and/or ≥85 mm Hg in diastolic, (3) triglycerides ≥150 mg/dL, (4) high-density lipoprotein cholesterol ≤40 mg/dL in men, ≤50 mg/dL in women, and (5) fasting blood glucose ≥100 mg/dL. After 5 years 1,929 subjects had a reversal of clustering (39.4%). A reversal occurred more often in males. The subjects with a reversal of clustering had milder level of each risk factor and a smaller number of risk factors, while BMI was associated with the least chance of a reversal.Conclusion. We concluded that a reversal of clustering CVD risk factors is possible in 4/10 subjects over a 5-year period by habitual or medical interventions. Gender and each CVD risk factor affected the reversal rate adversely, and BMI was associated with the least chance of a reversal.

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Trends in the co-occurrence of cardiovascular risk factors by education in Finland, 1997–2017

European Journal of Public Health ◽

10.1093/eurpub/ckz185.642 ◽

2019 ◽

Vol 29 (Supplement_4) ◽

Author(s):

L Paalanen ◽

T Härkänen ◽

J Kontto ◽

H Tolonen

Keyword(s):

Risk Factors ◽

Risk Factor ◽

Factor Score ◽

Cvd Risk Factors ◽

Cvd Risk ◽

Education Group ◽

Educational Differences ◽

Risk Factor Score ◽

Education Groups ◽

Over Time

Abstract Background Understanding on sociodemographic variation of the co-occurrence of cardiovascular disease (CVD) risk factors is crucial for planning public health policy and future prevention strategies. We aimed at examining 1) the co-occurrence of smoking, hypertension, elevated cholesterol and obesity by education, and 2) the trends in educational differences in the co-occurrence of these risk factors in Finland. Methods We used cross-sectional health examination surveys carried out every five years among the general adult population: for 1997-2012 the National FINRISK Study and for 2017 the FinHealth 2017 Survey. Respondents aged 25-64 years were included in the analyses (n = 25,036). Current smoking, obesity (BMI≥30 kg/m2), hypertension (≥140/≥90 mmHg or medication) and elevated serum total cholesterol (≥5.0 mmol/l or medication) were used for the risk factor accumulation score with categories 1) zero, 2) one, 3) two, and 4) three or four elevated risk factors. Multinomial logistic regression was used to estimate predicted probabilities for each category. Results Overall, the risk factor score was more favourable among women than men, and among high education groups than low education groups in both sexes. The lowest risk factor score class became more prevalent in all education groups in both sexes over time. The change in educational differences was not significant. However, the intermediate education group approached the highest education group over time. Conclusions Our data indicate an overall transition towards a more favourable risk factor score in Finland, in 1997-2017. The score among the intermediate education group approached that among the highest education group. The tendency of risk factor accumulation among those with least education remained during the study period, which raises a need to develop and implement interventions and public health policies that would be effective in decreasing the risk factor burden particularly in this group. Key messages Overall, a favourable trend of diminishing risk factor prevalence was seen. The tendency of accumulation of major CVD risk factors among the least educated subjects remained from 1997 to 2017.

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Using Cluster Analysis to Explore Associations between Cardiovascular Risk and Lifestyle Factors in a Workplace Wellness Program

Building Healthy Academic Communities Journal ◽

10.18061/bhac.v5i1.7933 ◽

2021 ◽

Vol 5 (1) ◽

pp. 30-41

Author(s):

Heather Carter-Templeton ◽

Gary Templeton ◽

Barbara Ann Graves ◽

Leslie G. Cole

Keyword(s):

Risk Factors ◽

Cluster Analysis ◽

Risk Factor ◽

Cardiovascular Health ◽

The United States ◽

Workplace Wellness ◽

Wellness Program ◽

Cvd Risk Factors ◽

Cvd Risk ◽

Ideal Cardiovascular Health

Background: Cardiovascular disease (CVD) is the number one cause of death in the United States with risk factors including hypertension, hyperlipidemia, diabetes, obesity, smoking, physical inactivity, age, genetics, and unhealthy diets. A university-based workplace wellness program (WWP) consisting of an annual biometric screening assessment with targeted, individualized health coaching was implemented in an effort to reduce these risk factors while encouraging and nurturing ideal cardiovascular health.Objective: The purpose of this study was to examine and describe the prevalence of single and combined, or multiple, CVD risk factors within a workplace wellness dataset.Methods: Cluster analysis was used to determine CVD risk factors within biometric screening data (BMI, waist circumference, LDL, total cholesterol, HDL, triglycerides, blood glucose age, ethnicity, and gender) collected during WWP interventions.Results: The cluster analysis provided visualizations of the distributions of participants having specific CVD risk factors. Of the 8,802 participants, 1,967 (22.4%) had no CVD risk factor, 1,497 (17%) had a single risk factor, and 5,529 (60.5%) had two or more risk factors. The majority of sample members are described as having more than one CVD risk factor with 78% having multiple.Conclusion: Cluster analysis demonstrated utility and efficacy in categorizing participant data based on their CVD risk factors. A baseline analysis of data was captured and provided understanding and awareness into employee health and CVD risk. This process and analysis facilitated WWP planning to target and focus on education to promote ideal cardiovascular health.

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Cardiovascular Risk Factors Impact on the Severity of Coronary Artery Disease among Acute ST-Elevation Myocardial Infarction Patients in the United Arab Emirates

Journal of Integrative Cardiology Open Access ◽

10.31487/j.jicoa.2021.01.12 ◽

2021 ◽

pp. 1-9

Author(s):

Vijay Chander Vinod ◽

Zuhair Eltayeb Yousif

Keyword(s):

Risk Factors ◽

Risk Factor ◽

Coronary Artery ◽

Multivessel Disease ◽

Cvd Risk Factors ◽

Cvd Risk ◽

Vessel Disease ◽

St Elevation ◽

Artery Disease ◽

The Impact

Objective: To define the impact of the cardiovascular risk factors on the extent of Coronary Artery Disease in STEMI patients and to identify the common prevalent risk factors that are unrecognized or poorly treated resulting in STEMI among the UAE population. Methods: Retrospective cohort on patients presented to Mediclinic City Hospital from 2011-2016 who underwent Primary Percutaneous Coronary Intervention (PCI) for confirmed ST-Elevation Myocardial Infarction (STEMI). Results: Of the total 104 STEMI patients, 91% were males. Mean (+SD) of 53 (+12.5) years of age. 73% were less than 60 years old. The most prevalent risk factor was hypertension (42%). 38% of diabetics had an HbA1C of >7%. 14% of the dyslipidemic had above target lipid levels in spite of Statin. 100% of the study population had at least 1 risk factor, ≥2 risk factors (97%), ≥3 risk factors (82%). 50% had 1 or more incidental risk factors diagnosed after admission. Dyslipidemia (36%) was the commonest incidental risk factor. The total risk factor counts increased significantly when the incidental or poorly treated risk factors were added to the initial risk factors on admission. Anterior Wall STEMI (38%) was the commonest. Left Anterior Descending Coronary Artery (48%) was the commonest culprit vessel. The majority had Triple Vessel Disease (37%). 37% developed in-hospital complications. Multivessel disease patients had more risk factors than in single-vessel disease but the association between the number of risk factors and disease severity was not statistically significant. The odds of multivessel disease increased with cumulative risk factor categories, but there was no significant trend association. Conclusion: Our study attempted to determine the impact of CVD risk factors on the severity of CAD among STEMI patients who underwent primary PCI. Contrary to other studies, there was no statistical difference noted in the prevalence of CVD risk factors between the single-vessel and multivessel disease. The study did prove that the incidental or under-diagnosed or inadequately treated risk factors had an impact on the severity of CAD. The study stress that every single CVD risk factor should be treated with equal importance. Statistically significant associations need to be confirmed in future studies with a larger number of patients.

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