Journals / Dicle Tıp Dergisi / 2019 / Cilt: 46 - Sayı: 3

Evaluation of Risk Factors Influencing Cardiovascular Disease and Correlation with Cardiovascular Risk Scores

Kardiyovasküler Hastalıklara Etki Eden Faktörlerin Değerlendirilmesi ve Kardiyovasküler Risk Skorlamalarının Karşılaştırılması

Pages
449–459
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Conclusion: Risk scores correlate with each other, Framingham and PCRAE risk scores can be used in the screening of cardiovasculer disease risk in our country, antropometric measures are useful in detecting high-risk individuals, and most risk factors can be controlled by family physicians.

📌 3 Key Takeaways

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Objective & Hypothesis:Objective: In this study, we aimed to evaluate cardiovascular risk scores (Framingham, Pooled Cohort Risk Assessment Equations; PCRAE), anthropometric measurements and compare their strengths for identifying patients at high risk for cardiovascular disease in individuals over the age of 40.
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Key Findings & Data:Method: This study was performed with 258 patients aged 40 to 72 years meeting the eligibility criteria for the study who admitted to the Family Practice Centers of Training and Research Hospital.
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Conclusion & Impact:Conclusion: Risk scores correlate with each other, Framingham and PCRAE risk scores can be used in the screening of cardiovasculer disease risk in our country, antropometric measures are useful in detecting high-risk individuals, and most risk factors can be controlled by family physicians.
🔬Design:Lab & Field Experiment
📍Scope:2007 Verileri
⚙️Variables:Domain Parameters

Abstract

Objective: In this study, we aimed to evaluate cardiovascular risk scores (Framingham, Pooled Cohort Risk Assessment Equations; PCRAE), anthropometric measurements and compare their strengths for identifying patients at high risk for cardiovascular disease in individuals over the age of 40. Method: This study was performed with 258 patients aged 40 to 72 years meeting the eligibility criteria for the study who admitted to the Family Practice Centers of Training and Research Hospital. Number Cruncher Statistical System 2007 Statistical software was used for the statistical analysis. Results: Age, male gender, waist-to-hip ratio of patients with high Framingham and PCRAE risk scores were determined to be statistically significantly higher than patients with low Framingham and PCRAE risk scores (p<0.01). The body mass ındex values were significantly high in patients with high Framingham scores (p<0.05). Patients with a higher Framingham risk score were more likely to have a high PCRAE risk score (p<0.01). Conclusion: Risk scores correlate with each other, Framingham and PCRAE risk scores can be used in the screening of cardiovasculer disease risk in our country, antropometric measures are useful in detecting high-risk individuals, and most risk factors can be controlled by family physicians.

Özet

Amaç: Bu çalışmada; 40 yaş üstü bireylerde kardiyovasküler hastalıklara etki eden faktörlerin değerlendirilmesi için kardiyovasküler risk skorlamalarının (Framingham, PooledCohort Risk Assesment Equations; PCRAE), antropometrik ölçümlerin hesaplanması, yüksek riskli hastaları belirleyebilme güçlerinin karşılaştırılması amaçlanmıştır. Yöntemler: Çalışma; Eğitim ve Araştırma Hastanesi’nde, Aile Hekimliği polikliniğine başvuran, 40-72 yaş aralığında 258 hasta ile yapıldı. Analizler için Number Cruncher Statistical System 2007 programı kullanıldı. Bulgular: Framingham ve PCRAE skoru, yüksek risk düzeyinde olan olguların yaşları, erkek cinsiyet olması, bel/kalça çevresi oranı; düşük risk düzeyinde olan olgulara göre istatistiksel olarak anlamlı düzeyde yüksek saptanmıştır (p<0,01). Framingham skoru yüksek risk düzeyinde olan olguların, vücut kitle indeksi değerleri, istatistiksel olarak anlamlı düzeyde yüksek saptanmıştır (p<0,05). PCRAE riski yüksek olan olgularda, Framingham skoru düzeyinin yüksek olması oranları arasında, istatistiksel olarak anlamlı düzeyde yüksek saptanmıştır (p<0,01). Sonuç: Risk skorlamalarının birbirleriyle korele olduğu, Framinghamve PCRAE risk skorlarının, Ülkemizde, kardiyovasküler hastalık risk taramasında kullanılabileceği, antropometrik ölçümleri yüksek riskli bireyleri saptamanın faydalı olduğu ve çoğu risk faktörlerinin aile hekimi tarafından kontrol altına alınabileceği sonucuna vardık.

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Cite This Article

DÜLEK, H., VURAL, Z. T., GÖNENÇ, I. (2019). Evaluation of Risk Factors Influencing Cardiovascular Disease and Correlation with Cardiovascular Risk Scores. Dicle Tıp Dergisi, Cilt: 46 - Sayı: 3, 449–459. https://ajindex.com/articles/160990

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