scholarly journals POS0303 PREVENTION OF CHRONIC DISEASES DUE TO INFLAMMATION IN INFLAMMATORY ARTHRITIS: RESULTS OF A DELPHI PROCESS TO SELECT CARE RECOMMENDATIONS FOR AN ELECTRONIC MEDICAL RECORD (EMR) INTERVENTION

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 377.1-377
Author(s):  
I. Sheriff ◽  
A. Lima ◽  
O. Tseng ◽  
A. Aviña ◽  
M. Dawes ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Chronic Diseases ◽  
Inflammatory Arthritis ◽  
Family Physicians ◽  
Delphi Process ◽  
Lifestyle Modifications ◽  
Cvd Risk ◽  
Level Of Evidence ◽  
Bmd Testing

Background:Inflammatory arthritis (IA) predisposes patients to several chronic conditions including cardiovascular diseases (CVD), diabetes (DM), osteoporosis (OP) and infections, likely due to systemic effects of inflammation. Studies have found that patients with IA often receive suboptimal care for screening and managing these conditions.Objectives:This is the first phase of a study which will develop and pilot test automated EMR reminders for family physicians. The reminders will prompt family physicians to screen for and address risk factors for these conditions. We conducted a Delphi process to select care recommendations to be addressed by the EMR reminders.Methods:We conducted a review of current BC, Canadian and international guidelines for screening and addressing risk factors for CVD, DM, OP and infection. A list of 22 care recommendations, including their level of evidence and risks/benefits of implementation, was reviewed by a panel of six family physicians, three rheumatologists and three IA patients, in a three-round online modified Delphi process. Panelists rated each care recommendation, using 9-point scales, on 1) their clinical importance, 2) their likelihood of improving outcomes, and 3) implementation feasibility. Results were discussed in an online forum. Panelists then rated slightly revised care recommendations, modified based on feedback from the discussion. Care recommendations were retained if the median rating was ≥7 with no disagreement as defined by the RAND/UCLA Method handbook.Results:A list of 15 care recommendations was selected by the Delphi process for EMR integration, including recommendations that address CVD risk assessment (1), hypertension screening (1), DM screening (2), fracture risk assessment (1), BMD testing (1), osteoporosis prevention (1) and treatment (1) with bisphosphonates, preventing infections through immunization (2), minimizing steroids (1) and hepatitis screening (1), screening for hydroxychloroquine retinal toxicity (1), and counselling for lifestyle modifications (2). We excluded 7 recommendations which addressed lipid testing (1), BMD testing in steroid users (1), immunizations (2), weight management (1), and DMARD laboratory test monitoring (2). Recommendations were excluded on the basis of importance (1) or feasibility (6).Conclusion:The results of the Delphi process will inform the development of reminders, integrated in EMRs, that will support family physicians in their efforts to engage IA patients in addressing risk factors for chronic diseases related to inflammation. We hope to improve the prevention of these diseases, which represent an important cause of morbidity and mortality for people with inflammatory arthritis.Acknowledgements:Iman Sheriff’s work on this project was funded by the CRA summer studentship programme. Dr. Lacaille is supported by the Mary Pack Chair in Arthritis Research from UBC and The Arthritis Society of Canada. Thank you to all who participated in the Delphi survey.Disclosure of Interests:None declared

scholarly journals Comparative risk assessment for the development of cardiovascular diseases in the Hungarian general and Roma population

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Peter Piko ◽  
Zsigmond Kosa ◽  
Janos Sandor ◽  
Roza Adany
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Cardiovascular Risk ◽  
Cardiovascular Diseases ◽  
High Risk ◽  
Risk Group ◽  
High Risk Group ◽  
Average Risk ◽  
Cvd Risk ◽  
Roma Population

AbstractCardiovascular diseases (CVDs) are the number one cause of death globally, and the early identification of high risk is crucial to prevent the disease and to reduce healthcare costs. Short life expectancy and increased mortality among the Roma are generally accepted (although not indeed proven by mortality analyses) which can be partially explained by the high prevalence of cardiovascular risk factors (CVRF) among them. This study aims to elaborate on the prevalence of the most important CVD risk factors, assess the estimation of a 10-year risk of development of fatal and nonfatal CVDs based on the most used risk assessment scoring models, and to compare the Hungarian general (HG) and Roma (HR) populations. In 2018 a complex health survey was accomplished on the HG (n = 380) and HR (n = 347) populations. The prevalence of CVRS was defined and 10-year cardiovascular risk was estimated for both study populations using the following systems: Framingham Risk Score for hard coronary heart disease (FRSCHD) and for cardiovascular disease (FRSCVD), Systematic COronary Risk Evaluation (SCORE), ACC/AHA Pooled Cohort Equations (PCE) and Revised Pooled Cohort Equations (RPCE). After the risk scores had been calculated, the populations were divided into risk categories and all subjects were classified. For all CVD risk estimation scores, the average of the estimated risk was higher among Roma compared to the HG independently of the gender. The proportion of high-risk group in the Hungarian Roma males population was on average 1.5–3 times higher than in the general one. Among Roma females, the average risk value was higher than in the HG one. The proportion of high-risk group in the Hungarian Roma females population was on average 2–3 times higher compared to the distribution of females in the general population. Our results show that both genders in the Hungarian Roma population have a significantly higher risk for a 10-year development of cardiovascular diseases and dying from them compared to the HG one. Therefore, cardiovascular interventions should be focusing not only on reducing smoking among Roma but on improving health literacy and service provision regarding prevention, early recognition, and treatment of lipid disorders and diabetes among them.

scholarly journals Early vascular aging risk assessment in patients with metabolic syndrome

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A Salasyuk ◽  
S Nedogoda ◽  
I Barykina ◽  
V Lutova ◽  
E Popova
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Risk Assessment ◽  
Metabolic Syndrome ◽  
Vascular Aging ◽  
Clinical Markers ◽  
Cvd Risk ◽  
Vascular Age

Abstract Background Metabolic syndrome (MetS) and abdominal obesity are one of the most common CVD risk factors among young and mature patients. However, the currently used CVD risk assessment scales may underestimate the CV risk in people with obesity and MS. Early vascular aging rather than chronological aging can conceptually offer better risk prediction. MetS, as accumulation of classical risk factors, leads to acceleration of early vascular aging. Since an important feature of MetS is its reversibility, an adequate risk assessment and early start of therapy is important in relation to the possibilities of preventing related complications. Purpose To derive a new score for calculation vascular age and predicting EVA in patients with MetS. Methods Prospective open cohort study using routinely collected data from general practice. The derivation cohort consisted of 1000 patients, aged 35–80 years with MetS (IDF,2005 criteria). The validation cohort consisted of 484 patients with MetS and carotid-femoral pulse wave velocity (cfPWV) values exceeding expected for average age values by 2 or more SD (EVA syndrome). Results In univariate analysis, EVA was significantly correlated with the presence of type 2 diabetes and clinical markers of insulin resistance (IR), body mass index (BMI), metabolic syndrome severity score (MetS z-score), uric acid (UA) level, hsCRP, HOMA-IR, total cholesterol (TC), triglycerides (TG), heart rate (HR), central aortic blood pressure (CBP), diastolic blood pressure (DBP). Multiple logistic regression shown, that presence of type 2 diabetes and IR were associated with greater risk of EVA; the odds ratios were 2.75 (95% CI: 2.34, 3.35) and 1.57 (95% CI: 1.16, 2.00), respectively. In addition, the risk of having EVA increased by 76% with an increase in HOMA-IR by 1 unit, by 17% with an increase in hsCRP by 1 mg/l, by 4% with an increase in DBP by 1 mm Hg, and by 1% with each 1 μmol / L increase in the level of UA. The area under the curve for predicting EVA in patients with MetS was 0,949 (95% CI 0,936 to 0,963), 0,630 (95% CI 0,589 to 0,671), 0,697 (95% CI 0,659 to 0,736) and 0,686 (95% CI 0,647 to 0,726), for vascular age, calculated from cfPWV, SCORE scale, QRISK-3 scale and Framingham scale, respectively. Diabetes mellitus and clinical markers of IR (yes/no), HOMA-IR and UA level were used to develop a new VAmets score for EVA prediction providing a total accuracy of 0.830 (95% CI 0,799 to 0,860). Conclusion cfPWV at present the most widely studied index of arterial stiffness, fulfills most of the stringent criteria for a clinically useful biomarker of EVA in patients with MetS. Although, parallel efforts for effective integration simple clinical score into clinical practice have been offered. Our score (VAmets) may accurately identify patients with MetS and EVA on the basis of widely available clinical variables and classic cardiovascular risk factors can prioritize using of vascular age in routine care. ROC-curves for predicting EVA in MetS Funding Acknowledgement Type of funding source: None

scholarly journals Global cardiovascular risk assessment: a national training course for General Practitioners

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
L Palmieri ◽  
B Unim ◽  
E Mattei ◽  
M Tijhuis ◽  
A Fehr ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
High Risk ◽  
General Practitioners ◽  
Risk Score ◽  
Preventive Action ◽  
Clinical Practices ◽  
Cvd Risk ◽  
Training Course ◽  
National Training

Abstract Background Identification of high risk individuals is one of the main goals of the primary prevention of cardiovascular disease (CVD) and constitutes the basis for implementing actions aiming at reducing modifiable risk factors at individual level through changing life styles or drug interventions. The most appropriate method for identifying high risk individuals is the absolute risk assessment, a probability indicator of incidence, predictable on the basis of risk factors levels. Objectives The CUORE project score of the National Institute of Health-ISS is adopted in Italy; since 2007 ISS has implemented a national training course for General Practitioners-GPs with the aim of supporting and facilitating the use of CVD risk assessment in clinical practice as a preventive action in the general population. Results The training course is based on five sequential packages linked to educational credits: packages 1-2 facilitate the adoption of standardised methodologies for the assessment of CVD risk score; in package 3 patients are invited by GPs to assess the risk score; packages 4-5 evaluate and discuss data collected with GPs and stakeholders. A cascade training was implemented: ISS personnel provided training to local GPs who in turn provided the same training to other GPs. Two manuals for the training course were published. Since 2007 about 4,300 GPs were trained; about 320,000 10-year CVD risk assessments were performed in 260,000 men and women aged 35-69 years. Feedback was provided to all GPs participating to the 4th-5th packages of the training courses. Conclusions Implementation of the training course for the use of CVD risk assessment in the population represents a primary preventive action according to the recommendation of the EU Guideline on CVD prevention. The collected data may play an important role in the identification of strengths and weaknesses of preventive actions and represents the first step to improve good clinical practices standards.

Long-Term Functional Outcome of Bilateral Spontaneous and Simultaneous Achilles Tendon Ruptures

2012 ◽  
Vol 5 (5) ◽  
pp. 318-320
Author(s):  
Prasad Ellanti ◽  
Nikos Davarinos ◽  
Thomas E. Burke ◽  
Lester G. D’Souza
Keyword(s):  
Risk Factors ◽  
Achilles Tendon ◽  
Functional Outcome ◽  
Chronic Diseases ◽  
Therapeutic Level ◽  
Level Of Evidence ◽  
Good Functional Outcome ◽  
Tendon Ruptures

Bilateral simultaneous ruptures are rare comprising less than 1% of all Achilles tendon ruptures. Risk factors for bilateral ruptures include chronic diseases and medications such as corticosteroids and fluoroquinolones. There is little in the literature on the long-term functional outcome of bilateral Achilles tendon ruptures. This article present a series of 3 cases of simultaneous and spontaneous bilateral Achilles tendon ruptures with a minimum of 5-year follow up suggesting a good functional outcome. Level of Evidence: Therapeutic Level IV

scholarly journals Tools for Assessing Cardiovascular Disease Risk Factors in Underserved Young Adult Populations: A Systematic Review

2021 ◽  
Vol 18 (24) ◽  
pp. 13305
Author(s):  
Audrey A. Opoku-Acheampong ◽  
Richard R. Rosenkranz ◽  
Koushik Adhikari ◽  
Nancy Muturi ◽  
Cindy Logan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Risk Assessment ◽  
Heart Disease ◽  
Young Adult ◽  
Disease Risk ◽  
Laboratory Data ◽  
Assessment Tools ◽  
Cvd Risk ◽  
Risk Assessment Tools

Cardiovascular disease (CVD, i.e., disease of the heart and blood vessels) is a major cause of death globally. Current assessment tools use either clinical or non-clinical factors alone or in combination to assess CVD risk. The aim of this review was to critically appraise, compare, and summarize existing non-clinically based tools for assessing CVD risk factors in underserved young adult (18–34-year-old) populations. Two online electronic databases—PubMed and Scopus—were searched to identify existing risk assessment tools, using a combination of CVD-related keywords. The search was limited to articles available in English only and published between January 2008 and January 2019. Of the 10,383 studies initially identified, 67 were eligible. In total, 5 out of the 67 articles assessed CVD risk in underserved young adult populations. A total of 21 distinct CVD risk assessment tools were identified; six of these did not require clinical or laboratory data in their estimation (i.e., non-clinical). The main non-clinically based tools identified were the Heart Disease Fact Questionnaire, the Health Beliefs Related to CVD-Perception measure, the Healthy Eating Opinion Survey, the Perception of Risk of Heart Disease Scale, and the WHO STEPwise approach to chronic disease factor surveillance (i.e., the STEPS instrument).

Venous thromboembolic risk and thromboprophylaxis in acutely ill medical outpatients

Phlebologie ◽  
2006 ◽  
Vol 35 (06) ◽  
pp. 286-288
Author(s):  
V. Hach-Wunderle ◽  
F. H. Mader ◽  
W. D. Paar ◽  
S. K. Haas
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Family Physicians ◽  
Medical Illness ◽  
Thromboembolic Risk ◽  
Objective Risk ◽  
Subjective Risk ◽  
Venous Thromboembolic ◽  
Objective Score ◽  
Medical Outpatients

Summary215 German family physicians participated in a prospective registry to assess the venous thromboembolic risk in acutely ill medical outpatients. In 1247 patients who were visited at home due to an acute medical illness, the risk factors were documented using a standardised questionnaire. The doctors subjectively rated the patient’s risk on a scale ranging from 1 to 10 and the result was compared with an objective risk-score which had been previously developed for hospitalized patients and has been successfully used in these patients. The results showed a wide agreement of the subjective risk assessment and the objective score. The resulting consequence of an adequate thromboprophylaxis reflects a high awareness of venous thromboembolic risk among the physicians treating acutely ill medical outpatients.

scholarly journals Prospective, longitudinal, cohort study for assessment of vascular ageing among adults of urban and rural area of Central India: research protocol

2017 ◽  
Vol 4 (9) ◽  
pp. 3273
Author(s):  
Vijay Bhagat ◽  
Shubhangi Baviskar ◽  
Abhay B. Mudey ◽  
Ramachandra Goyal
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Cohort Study ◽  
Prediction Model ◽  
Risk Prediction ◽  
Risk Prediction Model ◽  
Cvd Risk ◽  
Framingham Risk ◽  
Vascular Ageing ◽  
Vascular Age

Background: Considering the complex interaction of risk factors in causation of CVD; assessment of vascular ageing among the high risk group through non-interventional statistical models was useful in controlling CVD. While, many CVD risk assessment models were especially designed for application in the specific population or region such as SCORE scales for Europeans, ASSIGN scores for people of Scotland. The Framingham Risk Score were modified, validated and used in several countries. Though Indians have significantly higher predilection for CVD, no indigenous scores were developed or validated to assess the CV risk. The objective of the study were to determine vascular age of the study participants using Framingham risk prediction model, to assess its relationship with development of cardiovascular disease and to develop, validate and compare cardiovascular risk prediction model based on the follow up observations of the study participants.Methods: Community based cohort study will be conducted in large urban and rural population aged 31-60 years of age those who have no evidence of CVD. The study population will be followed up for three years and will be assessed for development of CVD. The vascular age will be determined using Framingham Risk Scores. Based on the risk factors associated with occurrence of CVD during the study period, the risk prediction model will be designed and tested for validity and accuracy. Results: The newly developed CVD risk prediction will be more accurate in assessment of CV risk among the study subjects. Conclusions: The newly developed and validated CV risk prediction model specific for Indians may be one of the first prospective CV risk assessment cohort study. 

scholarly journals Cardiovascular Risk in Rheumatoid Arthritis: Literature Review

2021 ◽  
Vol 36 (3) ◽  
pp. e262-e262
Author(s):  
Suad MA Hannawi ◽  
Haifa Hannawi ◽  
Issa Al Salmi
Keyword(s):  
Rheumatoid Arthritis ◽  
Risk Factors ◽  
Heart Failure ◽  
Literature Review ◽  
Inflammatory Arthritis ◽  
Healthy Population ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Mortality And Morbidity ◽  
Underlying Inflammation

Rheumatoid arthritis (RA) is the most common inflammatory arthritis disease with a worldwide prevalence of 1–3%. RA patients are at higher risk of atherosclerosis than their matched age-sex controls. Cardiovascular diseases (CVDs) account for a 50% risk of increased mortality and morbidity in RA. The pattern of CVD in RA patients differs from that in the general population; RA patients are more likely to have silent ischemic heart disease, sudden death, heart failure, and die early. RA patients tend to have a 5–10 years reduction in their life span than their matched healthy population. Traditional (classical) CV risk factors work separately or synergistically with the underlying inflammation to increase CVD risk in RA. Moreover, inflammation is defined as an independent CVD risk factor. This literature review aims to discuss the traditional CVD risk factors and their association with inflammation in RA.

scholarly journals Cardiovascular risk assessment using ASCVD risk score in fibromyalgia: a single-centre, retrospective study using “traditional” case control methodology and “novel” machine learning

2021 ◽  
Vol 61 (1) ◽  
Author(s):  
Sandeep Surendran ◽  
C. B. Mithun ◽  
Merlin Moni ◽  
Arun Tiwari ◽  
Manu Pradeep
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Risk Assessment ◽  
Disease Severity ◽  
Predictive Models ◽  
Case Control ◽  
Age Group ◽  
Cardiovascular Risk Assessment ◽  
Cvd Risk ◽  
Ascvd Risk

Abstract Background In autoimmune inflammatory rheumatological diseases, routine cardiovascular risk assessment is becoming more important. As an increased cardiovascular disease (CVD) risk is recognized in patients with fibromyalgia (FM), a combination of traditional CVD risk assessment tool with Machine Learning (ML) predictive model could help to identify non-traditional CVD risk factors. Methods This study was a retrospective case–control study conducted at a quaternary care center in India. Female patients diagnosed with FM as per 2016 modified American College of Rheumatology 2010/2011 diagnostic criteria were enrolled; healthy age and gender-matched controls were obtained from Non-communicable disease Initiatives and Research at AMrita (NIRAM) study database. Firstly, FM cases and healthy controls were age-stratified into three categories of 18–39 years, 40–59 years, and ≥ 60 years. A 10 year and lifetime CVD risk was calculated in both cases and controls using the ASCVD calculator. Pearson chi-square test and Fisher's exact were used to compare the ASCVD risk scores of FM patients and controls across the age categories. Secondly, ML predictive models of CVD risk in FM patients were developed. A random forest algorithm was used to develop the predictive models with ASCVD 10 years and lifetime risk as target measures. Model predictive accuracy of the ML models was assessed by accuracy, f1-score, and Area Under 'receiver operating Curve' (AUC). From the final predictive models, we assessed risk factors that had the highest weightage for CVD risk in FM. Results A total of 139 FM cases and 1820 controls were enrolled in the study. FM patients in the age group 40–59 years had increased lifetime CVD risk compared to the control group (OR = 1.56, p = 0.043). However, CVD risk was not associated with FM disease severity and disease duration as per the conventional statistical analysis. ML model for 10-year ASCVD risk had an accuracy of 95% with an f1-score of 0.67 and AUC of 0.825. ML model for the lifetime ASCVD risk had an accuracy of 72% with an f1-score of 0.79 and AUC of 0.713. In addition to the traditional risk factors for CVD, FM disease severity parameters were important contributors in the ML predictive models. Conclusion FM patients of the 40–59 years age group had increased lifetime CVD risk in our study. Although FM disease severity was not associated with high CVD risk as per the conventional statistical analysis of the data, it was among the highest contributor to ML predictive model for CVD risk in FM patients. This also highlights that ML can potentially help to bridge the gap of non-linear risk factor identification.

The metabolic syndrome: setting the scene. The cons

2007 ◽  
Vol 4 (2_suppl) ◽  
pp. S4-S6 ◽  
Author(s):  
Naveed Sattar
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Cardiovascular Disease ◽  
Risk Assessment ◽  
Metabolic Syndrome ◽  
Elevated Blood ◽  
Diabetes Screening ◽  
Cvd Risk ◽  
Treatment Benefit ◽  
The Metabolic Syndrome

Conclusion: Metabolic syndrome is conceptually useful. It has encouraged thought about the pathology of diabetes and cardiovascular disease, has facilitated research and has brought together cardiologists and diabetologists. But the criteria are neither needed nor additive for CVD risk assessment or diabetes screening or prediction. Neither are they needed to determine treatment benefit. Better options would be to measure and target established risk factors such as lipids, smoking and elevated blood pressure. We should also be thinking about obesity and its prevention, and to do this we need changes in food, activity and fiscal environments.

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