• KAFM
  • Contact us
  • E-Submission
ABOUT
ARTICLE CATEGORY
BROWSE ARTICLES
AUTHOR INFORMATION

Page Path

3
results for

"Peripheral Arterial Disease"

Filter

Article category

Keywords

Publication year

Authors

"Peripheral Arterial Disease"

Original Articles
Detecting Peripheral Arterial Disease in Primary Care: A Population Based Study
Tolga Vural, Makbule Neslişah Tan, Mehtap Kartal, Azize Dilek Güldal
Korean J Fam Med 2020;41(1):61-67.   Published online May 13, 2019
DOI: https://doi.org/10.4082/kjfm.18.0066
Background
Peripheral arterial disease (PAD) can progress silently without any clinical symptoms. Ankle-brachial index (ABI) is the recommended method used in primary care. We aimed to determine the prevalence of PAD and its related risk factors in primary care.
Methods
In this cross-sectional study, 250 participants aged ≥45 years were recruited randomly from the registered patients of family health center in a district of Izmir, Turkey. Patients’ demographic data, PAD symptoms, and PAD risk factors were obtained. The PAD group consisted of patients with ABI levels <0.9; the non-compressible artery (NCA) group consisted of patients with ABI levels >1.3.
Results
The prevalence of PAD was 17.6% (22.5% in women and 11.1% in men), while that of NCA was 15.2% (12.7% in women and 25.0% in men). About 27.3% and 54.5% of patients with PAD did not have claudication and problems with walking distance, respectively. Of the NCA patients, 15.8% had problems with walking distance and 39.5% had claudication. Regression analysis revealed two predictors of PAD (age ≥65 years: odds ratio [OR], 3.51; 95% confidence interval [CI], 1.65–7.47; claudication: OR, 3.41; 95% CI, 1.58–7.39) and three predictors of NCA (age <65 years: OR, 2.55; 95% CI, 1.01–6.45; male sex: OR, 2.40; 95% CI, 1.10–5.25; triglyceride [TG] >200 mg/dL: OR, 4.11; 95% CI, 1.58–10.67).
Conclusion
PAD had a prevalence of 17.6% and was associated with age ≥65 years and claudication. NCA had a prevalence of 15.2% and was associated with age <65 years, TG >200 mg/dL, and male sex.

Citations

Citations to this article as recorded by  
  • Orem’s Self-Care Deficit Nursing Theory with Persons with Peripheral Artery Disease: A Mixed Method Study
    Nevra Kalkan, Mevlude Karadağ
    Nursing Science Quarterly.2025; 38(1): 55.     CrossRef
  • Predictive Factors of Peripheral Arterial Disease in Home Care Patients
    Halis Yılmaz, Seda Arslan Özkul, Kübra Temel Aslan, Pemra Cöbek Ünalan, Çiğdem Apaydın Kaya
    Konuralp Tıp Dergisi.2024; 16(3): 225.     CrossRef
  • Differences in Symptom Presentation in Women and Men with Confirmed Lower Limb Peripheral Artery Disease: A Systematic Review and Meta-Analysis
    Cindy P. Porras, Michiel L. Bots, Martin Teraa, Sander van Doorn, Robin W.M. Vernooij
    European Journal of Vascular and Endovascular Surgery.2022; 63(4): 602.     CrossRef
  • The Frequency of Primary Healthcare Contacts Preceding the Diagnosis of Lower-Extremity Arterial Disease: Do Women Consult General Practice Differently?
    Cindy P. Porras, Martin Teraa, Michiel L. Bots, Annemarijn R. de Boer, Sanne A. E. Peters, Sander van Doorn, Robin W. M. Vernooij
    Journal of Clinical Medicine.2022; 11(13): 3666.     CrossRef
  • Ankle-brachial Index and associated factors in individuals with coronary artery disease
    Saulo Henrique Salgueiro de Aquino, Isabelle Tenório Melo, Carlos Dornels Freire de Souza, Francisco de Assis Costa
    Revista da Associação Médica Brasileira.2020; 66(4): 407.     CrossRef
  • 5,842 View
  • 117 Download
  • 5 Web of Science
  • 5 Crossref
Higher Serum Calcium Levels Are Associated with Preclinical Peripheral Arterial Disease among the Apparently Healthy Individuals
Hyung-Jin Kim, Mi-Ri Kim, Jin-Kyung Park, Yong-Jae Lee, Byoungjin Park
Korean J Fam Med 2018;39(5):279-283.   Published online July 4, 2018
DOI: https://doi.org/10.4082/kjfm.17.0035
Background
Epidemiological studies suggest that serum calcium levels correlate with cardiovascular events. An ankle-brachial index (ABI) between 0.9 and 1.00 is a surrogate estimation of preclinical peripheral arterial disease (PAD). Prior studies have shown that an ABI of 0.9–1.0 is also associated with endothelial dysfunction. Therefore, we sought to investigate the relationship between serum calcium levels and preclinical PAD in apparently healthy Korean individuals.
Methods
We evaluated the association between serum calcium levels and preclinical PAD in 596 participants (334 males, 262 females) in a health examination program. Preclinical PAD was defined by an ABI of 0.9–1.0. Multiple logistic regression analysis was used to determine whether the serum calcium level was an independent determinant of preclinical PAD.
Results
The overall prevalence of preclinical PAD was 14.3%. The mean age was 44.0±12.5 years in the non-PAD group and 48.3±11.4 years in the preclinical PAD group (P=0.001). After adjusting for age, gender, systolic blood pressure, fasting plasma glucose, high-density lipoprotein cholesterol, triglycerides, C-reactive protein, g-glutamyltransferase, uric acid, hypertension medication, diabetes medication, and hyperlipidemia medication, the odds ratio (95% confidence intervals) for preclinical PAD was 2.28 (1.02–5.11) with a 1-mg/dL increase in the serum calcium.
Conclusion
These findings suggest that increased serum calcium is independently and positively associated with preclinical PAD regardless of the presence of classic cardiovascular risk factors.

Citations

Citations to this article as recorded by  
  • Association of Klotho and FGF23 with cardiovascular outcomes in diabetic older adults with chronic limb-threatening ischemia: a prospective study
    Federico Biscetti, Silvia Giovannini, Roberto Iezzi, Claudia Loreti, Pietro Caliandro, Lorenzo Biscotti, Dario Pitocco, Andrea Flex
    GeroScience.2025;[Epub]     CrossRef
  • 7,930 View
  • 102 Download
  • 1 Web of Science
  • 1 Crossref
Comparison of the Framingham Risk Score, UKPDS Risk Engine, and SCORE for Predicting Carotid Atherosclerosis and Peripheral Arterial Disease in Korean Type 2 Diabetic Patients
Hye-Ran Ahn, Min-Ho Shin, Woo-Jun Yun, Hye-Yeon Kim, Young-Hoon Lee, Sun-Seog Kweon, Jung-Ae Rhee, Jin-Su Choi, Seong-Woo Choi
Korean J Fam Med 2011;32(3):189-196.   Published online March 31, 2011
DOI: https://doi.org/10.4082/kjfm.2011.32.3.189
Background

To compare the predictability of the Framingham Risk Score (FRS), United Kingdom Prospective Diabetes Study (UKPDS) risk engine, and the Systematic Coronary Risk Evaluation (SCORE) for carotid atherosclerosis and peripheral arterial disease in Korean type 2 diabetic patients.

Methods

Among 1,275 registered type 2 diabetes patients in the health center, 621 subjects with type 2 diabetes participated in the study. Well-trained examiners measured the carotid intima-media thickness (IMT), carotid plaque, and ankle brachial index (ABI). The subject's 10-year risk of coronary heart disease was calculated according to the FRS, UKPDS, and SCORE risk scores. These three risk scores were compared to the areas under the curve (AUC).

Results

The odds ratios (ORs) of all risk scores increased as the quartiles increased for plaque, IMT, and ABI. For plaque and IMT, the UKPDS risk score provided the highest OR (95% confidence interval) at 3.82 (2.36, 6.17) and at 6.21 (3.37, 11.45). For ABI, the SCORE risk estimation provided the highest OR at 7.41 (3.20, 17.18). However, no significant difference was detected for plaque, IMT, or ABI (P = 0.839, 0.313, and 0.113, respectively) when the AUCs of the three risk scores were compared. When we graphed the Kernel density distribution of these three risk scores, UKPDS had a higher distribution than FRS and SCORE.

Conclusion

No significant difference was observed when comparing the predictability of the FRS, UKPDS risk engine, and SCORE risk estimation for carotid atherosclerosis and peripheral arterial disease in Korean type 2 diabetic patients.

Citations

Citations to this article as recorded by  
  • SCORE and SCORE2 in East Asian Population
    JungMin Choi, Soseul Sung, Sue K. Park, Seyong Park, Hyoyeong Kim, Myeong-Chan Cho, Bryan Williams, Hae-Young Lee
    JACC: Asia.2024; 4(4): 265.     CrossRef
  • Predictability of Cardiovascular Risk Scores for Carotid Atherosclerosis in Community-Dwelling Middle-Aged and Elderly Adults
    Chao-Liang Chou, Chun-Chieh Liu, Tzu-Wei Wu, Chun-Fang Cheng, Shu-Xin Lu, Yih-Jer Wu, Li-Yu Wang
    Journal of Clinical Medicine.2024; 13(9): 2563.     CrossRef
  • Determinação da Idade Vascular em Homens Através do Escore de Cálcio Coronariano e seu Impacto na Reestratificação do Risco Cardiovascular
    Ismael Polli, Neide Maria Bruscato, Protasio Lemos Da Luz, Douglas Dal Más Freitas, Angélica Oliveira de Almeida, Waldemar De Carli, Emilio Hideyuki Moriguchi
    Arquivos Brasileiros de Cardiologia.2023;[Epub]     CrossRef
  • Cardiovascular Biomarkers and Calculated Cardiovascular Risk in Orally Treated Type 2 Diabetes Patients: Is There a Link?
    Aleksandra Markova, Mihail Boyanov, Deniz Bakalov, Atanas Kundurdjiev, Adelina Tsakova
    Hormone and Metabolic Research.2021; 53(01): 41.     CrossRef
  • Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound
    Ankush D. Jamthikar, Deep Gupta, Luca Saba, Narendra N. Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R. Laird, Naveed Sattar, Amer M. Johri, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanasios Protogerou, Vijay Viswanathan, Aditya Sharma, Georg
    Computers in Biology and Medicine.2020; 126: 104043.     CrossRef
  • Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study
    Narendra N. Khanna, Ankush D. Jamthikar, Deep Gupta, Andrew Nicolaides, Tadashi Araki, Luca Saba, Elisa Cuadrado-Godia, Aditya Sharma, Tomaz Omerzu, Harman S. Suri, Ajay Gupta, Sophie Mavrogeni, Monika Turk, John R. Laird, Athanasios Protogerou, Petros P.
    Computers in Biology and Medicine.2019; 105: 125.     CrossRef
  • Diabetic retinopathy as an independent predictor of subclinical cardiovascular disease: baseline results of the PRECISED study
    Rafael Simó, Jordi Bañeras, Cristina Hernández, José Rodríguez-Palomares, Filipa Valente, Laura Gutierrez, Teresa González-Alujas, Ignacio Ferreira, Santiago Aguadé-Bruix, Joan Montaner, Daniel Seron, Joan Genescà, Anna Boixadera, José García-Arumí, Aleja
    BMJ Open Diabetes Research & Care.2019; 7(1): e000845.     CrossRef
  • Cardiovascular risk estimated by UKPDS risk engine algorithm in diabetes
    Nebojsa Kavaric, Aleksandra Klisic, Ana Ninic
    Open Medicine.2018; 13(1): 610.     CrossRef
  • Estimation of cardiovascular risk and detection of subclinical carotid atheromatosis in patients with diabetes without a history of cardiovascular disease
    Walter Masson, Salvador De Francesca, Micaela Molinero, Daniel Siniawski, Andrés Mulassi, Frank Espinoza Morales, Melina Huerin, Martín Lobo, Graciela Molinero
    Archives of Endocrinology and Metabolism.2017; 61(2): 122.     CrossRef
  • Perceived and actual risk of cardiovascular disease in patients with rheumatoid arthritis in Korea
    Sunjoo Boo, Erika S. Froelicher, Ju-Hui Yun, Ye-Won Kim, Ju-Yang Jung, Chang-Hee Suh
    Medicine.2016; 95(40): e5117.     CrossRef
  • Impact of carotid atherosclerosis detection on physician and patient behavior in the management of type 2 diabetes mellitus: a prospective, observational, multicenter study
    In-Kyung Jeong, Sin-Gon Kim, Dong Hyeok Cho, Chong Hwa Kim, Chul Sik Kim, Won-Young Lee, Kyu-Chang Won, Doo-Man Kim
    BMC Cardiovascular Disorders.2016;[Epub]     CrossRef
  • 4,711 View
  • 29 Download
  • 11 Crossref
TOP