A Comparative Study of Risk Stratification Tools for Chest Pain in Egyptians Emergency Patients.

Elbaih, Adel Hamed; Atyia, Mena S; Abouzeid, Ahmed Elsayed; Nasr, Gamela

doi:10.5455/ijsm.chest-pain-risk-stratification-tool

Cited by 1 publication

(2 citation statements)

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“…Cochrane risk tool is used to assess the risk bias of randomized control trial, risk bias is assessed by high risk, low risk, and uncleared risk. TIMI risk is assessed by low risk (0-4), moderate risk (5-8), and high risk (9)(10)(11)(12)(13)(14). Novel simple risk score is an easy tool to predict CVD events in adults through self-report information without need of laboratory and self-report examination data.…”

Section: Discussionmentioning

confidence: 99%

“…Studies conducted in 52 countries shown that men are more prone to high risk compared to women [8]. Age, gender, smoking, high blood pressure, hyperlipidemia, obesity, alcohol consumption family history of heart attack, sedentary life style, stress factors, and comorbidities such as diabetes, COPD, asthma, and chronic kidney disease are considered as risk factors for MI [9]. Globally, many tools are available to assess the risk of MI in the individuals with potential risk factors.…”

Section: Introductionmentioning

confidence: 99%

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Mi Risk Assessment in Patients Using the Ez-CVD Risk Assessment Tool

VENNELA¹,

Adepu²,

DHARMENDER³

et al. 2022

Asian J Pharm Clin Res

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Objective: The objective of this study was to assess the myocardial infarction (MI) risk chances among individuals in the productive age group using easy cardiovascular disease (EZ-CVD) risk assessment tool. Methods: This is a prospective observational and interventional study conducted for 6 months after obtaining the Institutional Human Ethics Committee approval. EZ-CVD risk assessment tool was used in this study which includes six self-reporting questionaries’ such as age, gender, history of diabetes, history of smoking, history of hypertension, and family history of heart attack at the age of 60 or younger. A score of 6 or greater is considered as patients are at high risk of having MI. Results: Sixty subjects were enrolled in to this study using the inclusion criteria. Among them, 36 were male and 24 individuals were female. Out of sixty recruited, 23 found having high risk for MI attack and 37 were at low risk of having chances of further MI. Conclusion: The study conclude that EZ-CVD risk assessment tool was found useful to predict the occurrence of future MI.

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