Evaluation of Single/Multiple Joint Effects of Lipid Profiles on Hypertension, Diabetes Mellitus and Obesity Accompanying Coronary Artery Disease

Cemil Çolak; Ahmet Kadir Arslan; Nevzat Erdil; Suat Tekin; Barış Akça; İbrahim Şahin; Mehmet Cengiz Çolak; Hakan Parlakpınar

Makale detayları

Evaluation of Single/Multiple Joint Effects of Lipid Profiles on Hypertension, Diabetes Mellitus and Obesity Accompanying Coronary Artery Disease

Yazarlar:

Cemil Çolak | Ahmet Kadir Arslan | Nevzat Erdil | Suat Tekin | Barış Akça | İbrahim Şahin | Mehmet Cengiz Çolak | Hakan Parlakpınar

Yayıncı:

Ordu University

Ana Başlıklar:

Klinik Tıp Bilimleri (Diğer)

Dergi:

ODÜ Tıp Dergisi Vol.11 Issue 1, pp.33-48

Belge Tipi:

Makale

Yayın Tarihi:

4/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001316214

pISSN:

2148-6816

Anahtar kelimeler:

Özet:

 Objective: Although cardiovascular diseases are among the most prominent causes of mortalitymorbidity in the world, they are even more important together with comorbidities. This study aims to reveal the singlemultiple effects of total cholesterol TC, high-density lipoprotein-cholesterol HDL-C, low-density lipoprotein-cholesterol LDL-C, and triglyceride TG on hypertension HT, type 2 diabetes mellitus T2DM and obesity accompanying coronary artery disease CAD. Method: The data were retrospectively achieved from the records of CAD patients undergoing coronary bypass surgery at the Department of Cardiovascular Surgery, Medical Center, University. The medical knowledge discovery process MKDP was applied to the data concerning HT, DM, obesity, TC, HDL-C, LDL-C, and TG variables. Different methods were used to determine the optimal cut-off points of lipid profiles. Logistic regression analysis LRA was examined the singlemultiple effects of lipid profiles on HT, T2DM, and obesity. Results: TC, LDL-C, TG, and HDL-C lipid profiles categorized according to the cut-off points determined in the current study were analyzed with LRA models. LDL-C 117 mgdLTC 191 mgdLHDL-C 37.2 mgdL in HT and TC 190 mgdLTG 197 mgdLHDL-C 36.3 mgdL in T2DM interaction terms had a moderate effect size. LDL-C 115 mgdLTG 197 mgdLHDL-C 36.3 mgdL interaction terms in T2DM and TC 192 mgdLLDL-C 117 mgdLHDL-C 36.8 mgdL, TK 192 mgdLTG 193 mgdLHDL-C 36.8 mgdL and LDL-C 117 mgdLTG 193 mgdLHDL-C 36.8 mgdL interaction terms in obesity were reported as having a high effect size. Conclusion: In conclusion, it is recommended to use the approach that analyzes the cut-off points proposed in this study for lipid profiles in predicting HT, T2DM, and obesity.

 Objective: Although cardiovascular diseases are among the most prominent causes of mortalitymorbidity in the world, they are even more important together with comorbidities. This study aims to reveal the singlemultiple effects of total cholesterol TC, high-density lipoprotein-cholesterol HDL-C, low-density lipoprotein-cholesterol LDL-C, and triglyceride TG on hypertension HT, type 2 diabetes mellitus T2DM and obesity accompanying coronary artery disease CAD. Method: The data were retrospectively achieved from the records of CAD patients undergoing coronary bypass surgery at the Department of Cardiovascular Surgery, Medical Center, University. The medical knowledge discovery process MKDP was applied to the data concerning HT, DM, obesity, TC, HDL-C, LDL-C, and TG variables. Different methods were used to determine the optimal cut-off points of lipid profiles. Logistic regression analysis LRA was examined the singlemultiple effects of lipid profiles on HT, T2DM, and obesity. Results: TC, LDL-C, TG, and HDL-C lipid profiles categorized according to the cut-off points determined in the current study were analyzed with LRA models. LDL-C 117 mgdLTC 191 mgdLHDL-C 37.2 mgdL in HT and TC 190 mgdLTG 197 mgdLHDL-C 36.3 mgdL in T2DM interaction terms had a moderate effect size. LDL-C 115 mgdLTG 197 mgdLHDL-C 36.3 mgdL interaction terms in T2DM and TC 192 mgdLLDL-C 117 mgdLHDL-C 36.8 mgdL, TK 192 mgdLTG 193 mgdLHDL-C 36.8 mgdL and LDL-C 117 mgdLTG 193 mgdLHDL-C 36.8 mgdL interaction terms in obesity were reported as having a high effect size. Conclusion: In conclusion, it is recommended to use the approach that analyzes the cut-off points proposed in this study for lipid profiles in predicting HT, T2DM, and obesity.

 Objective: Although cardiovascular diseases are among the most prominent causes of mortalitymorbidity in the world, they are even more important together with comorbidities. This study aims to reveal the singlemultiple effects of total cholesterol TC, high-density lipoprotein-cholesterol HDL-C, low-density lipoprotein-cholesterol LDL-C, and triglyceride TG on hypertension HT, type 2 diabetes mellitus T2DM and obesity accompanying coronary artery disease CAD. Method: The data were retrospectively achieved from the records of CAD patients undergoing coronary bypass surgery at the Department of Cardiovascular Surgery, Medical Center, University. The medical knowledge discovery process MKDP was applied to the data concerning HT, DM, obesity, TC, HDL-C, LDL-C, and TG variables. Different methods were used to determine the optimal cut-off points of lipid profiles. Logistic regression analysis LRA was examined the singlemultiple effects of lipid profiles on HT, T2DM, and obesity. Results: TC, LDL-C, TG, and HDL-C lipid profiles categorized according to the cut-off points determined in the current study were analyzed with LRA models. LDL-C 117 mgdLTC 191 mgdLHDL-C 37.2 mgdL in HT and TC 190 mgdLTG 197 mgdLHDL-C 36.3 mgdL in T2DM interaction terms had a moderate effect size. LDL-C 115 mgdLTG 197 mgdLHDL-C 36.3 mgdL interaction terms in T2DM and TC 192 mgdLLDL-C 117 mgdLHDL-C 36.8 mgdL, TK 192 mgdLTG 193 mgdLHDL-C 36.8 mgdL and LDL-C 117 mgdLTG 193 mgdLHDL-C 36.8 mgdL interaction terms in obesity were reported as having a high effect size. Conclusion: In conclusion, it is recommended to use the approach that analyzes the cut-off points proposed in this study for lipid profiles in predicting HT, T2DM, and obesity.

 Amaç: Kardiyovasküler hastalıklar dünya genelindeki önde gelen ölümmorbidite nedenleri arasında olmasına rağmen, eşlik eden hastalıklarla birlikte daha da önemlidirler. Bu çalışma, total kolesterol TK, yüksek dansiteli lipoprotein-kolesterol HDL-C, düşük dansiteli lipoprotein-kolesterol LDL-C ve trigliserit TGnin hipertansiyon HT, tip 2 diabetes mellitus T2DM ve obezite üzerindeki tekliçoklu etkilerini ortaya çıkarmayı amaçlamaktadır. Yöntem: Üniversitesi Tıp Merkezi  Kardiyovasküler Cerrahi Bölümünde koroner bypass cerrahisi geçiren koroner arter hastalarının kayıtlarından retrospektif olarak elde edilmiştir. Hipertansiyon, DM, obezite, TK, HDL-C, LDL-C ve TG değişkenlerine ilişkin veriler için tıbbi bilgi keşfi süreci TBKS uygulanmıştır. Lipid profillerinin optimal kesme noktalarını belirlemek için farklı yöntemler kullanılmıştır. Tekliçoklu etkilerini belirlemek için lojistik regresyon analizi LRA lipid profilleri incelenmiştir. Bulgular: Bu çalışmada belirlenen kesme noktalarına göre kategorize edilen TK, LDL-C, TG ve HDL-C lipid profilleri LRA modelleri ile analiz edilmiştir. HTde LDL-C 117 mgdLTK 191 mgdLHDL-C 37.2 mgdL ve T2DMde TK 190 mgdLTG 197 mgdLHDL-C 36.3 mgdL etkileşim terimleri orta etki büyüklüğüne sahipti. T2DMde LDL-C 115 mgdLTG 197 mgdLHDL-C 36.3 mgdL etkileşim terimleri ve obezitede TK 192 mgdLLDL-C 117 mgdLHDL-C 36.8 mgdL, TK 192 mgdLTG 193 mgdLHDL-C 36.8 mgdL ve LDL-C 117 mgdLTG 193 mgdLHDL-C 36.8 mgdL etkileşim terimleri yüksek etki büyüklüğü olarak rapor edilmiştir. Sonuç: Sonuç olarak, HT, T2DM ve obeziteyi öngörmede lipid profilleri için bu çalışmada önerilen kesme noktalarını analiz eden bir yaklaşımın kullanılması önerilir.

Makale detayları

Evaluation of Single/Multiple Joint Effects of Lipid Profiles on Hypertension, Diabetes Mellitus and Obesity Accompanying Coronary Artery Disease

Yazarlar:

Cemil Çolak | Ahmet Kadir Arslan | Nevzat Erdil | Suat Tekin | Barış Akça | İbrahim Şahin | Mehmet Cengiz Çolak | Hakan Parlakpınar

Yayıncı:

Ordu University

Ana Başlıklar:

Klinik Tıp Bilimleri (Diğer)

Dergi:

ODÜ Tıp Dergisi Vol.11 Issue 1, pp.33-48

Belge Tipi:

Makale

Yayın Tarihi:

4/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001316214

pISSN:

2148-6816

Coronary artery disease

Risk factors

Lipids

Knowledge discoveryKoroner arter hastalığı

Risk faktörleri

Lipitler

Bilgi keşfi

Sayı

Makale detayları

Yazarlar: Cemil Çolak | Ahmet Kadir Arslan | Nevzat Erdil | Suat Tekin | Barış Akça | İbrahim Şahin | Mehmet Cengiz Çolak | Hakan Parlakpınar

Yayıncı: Ordu University

Ana Başlıklar: Klinik Tıp Bilimleri (Diğer)

Dergi: ODÜ Tıp Dergisi Vol.11 Issue 1, pp.33-48

Belge Tipi: Makale

Yayın Tarihi: 4/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001316214

pISSN: 2148-6816

Sayı

Yazarlar:

Cemil Çolak | Ahmet Kadir Arslan | Nevzat Erdil | Suat Tekin | Barış Akça | İbrahim Şahin | Mehmet Cengiz Çolak | Hakan Parlakpınar

Yayıncı:

Ordu University

Ana Başlıklar:

Klinik Tıp Bilimleri (Diğer)

Dergi:

ODÜ Tıp Dergisi Vol.11 Issue 1, pp.33-48

Belge Tipi:

Makale

Yayın Tarihi:

4/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001316214

pISSN:

2148-6816