|
1. Criqui, M.H., et al., Lower extremity peripheral artery disease: contemporary epidemiology, management gaps, and future directions: a scientific statement from the American Heart Association. Circulation, 2021. 144(9): p. e171-e191. 2. Members, W.C., et al., 2024 ACC/AHA/AACVPR/APMA/ABC/SCAI/SVM/SVN/SVS/SIR/VESS guideline for the management of lower extremity peripheral artery disease: a report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Journal of the American College of Cardiology, 2024. 83(24): p. 2497-2604. 3. Frank, U., et al., ESVM Guideline on peripheral arterial disease. Vasa, 2019. 4. Fowkes, F.G.R., et al., Comparison of global estimates of prevalence and risk factors for peripheral artery disease in 2000 and 2010: a systematic review and analysis. The lancet, 2013. 382(9901): p. 1329-1340. 5. Nordanstig, J., et al., Peripheral arterial disease (PAD)–A challenging manifestation of atherosclerosis. Preventive Medicine, 2023. 171: p. 107489. 6. Criqui, M.H. and V. Aboyans, Epidemiology of peripheral artery disease. Circulation research, 2015. 116(9): p. 1509-1526. 7. Fowkes, F., et al., Edinburgh Artery Study: prevalence of asymptomatic and symptomatic peripheral arterial disease in the general population. International journal of epidemiology, 1991. 20(2): p. 384-392. 8. Sartipy, F., et al., Presence of asymptomatic peripheral arterial disease in combination with common risk factors elevates the cardiovascular risk substantially. International Journal of Cardiology Cardiovascular Risk and Prevention, 2022. 13: p. 200130. 9. Papamichael, C.M., et al., Ankle-brachial index as a predictor of the extent of coronary atherosclerosis and cardiovascular events in patients with coronary artery disease. The American journal of cardiology, 2000. 86(6): p. 615-618. 10. Hirsch, A.T., et al., Peripheral arterial disease detection, awareness, and treatment in primary care. Jama, 2001. 286(11): p. 1317-1324. 11. Cambou, J.P., et al., Characteristics and outcome of patients hospitalised for lower extremity peripheral artery disease in France: the COPART Registry. European Journal of Vascular and Endovascular Surgery, 2010. 39(5): p. 577-585. 12. Khan, N.A., et al., Does the clinical examination predict lower extremity peripheral arterial disease? Jama, 2006. 295(5): p. 536-546. 13. Curry, S.J., et al., Screening for peripheral artery disease and cardiovascular disease risk assessment with the ankle-brachial index: US preventive services task force recommendation statement. Jama, 2018. 320(2): p. 177-183. 14. Chen, T., et al., Risk factors for peripheral artery disease and diabetic peripheral neuropathy among patients with type 2 diabetes. Diabetes Research and Clinical Practice, 2024. 207: p. 111079. 15. Riva-Rocci, S., Un nuovo sfigmomanometro. Gazz Med Torino, 1896. 47: p. 981-1001. 16. Lewis, P.S., British, and I.H. Society, Oscillometric measurement of blood pressure: a simplified explanation. A technical note on behalf of the British and Irish Hypertension Society. Journal of human hypertension, 2019. 33(5): p. 349-351. 17. Xu, D., et al., Sensitivity and specificity of the ankle—brachial index to diagnose peripheral artery disease: a structured review. Vascular medicine, 2010. 15(5): p. 361-369. 18. Hyun, S., et al., Ankle-brachial index, toe-brachial index, and cardiovascular mortality in persons with and without diabetes mellitus. Journal of vascular surgery, 2014. 60(2): p. 390-395. 19. Stein, R., et al., Limitation of the resting ankle-brachial index in symptomatic patients with peripheral arterial disease. Vascular medicine, 2006. 11(1): p. 29-33. 20. Bostrdm, A., et al., Selection of patients with lower limb arterial occlusive disease for endovascular treatment of the iliac arteries with duplex scanning. Vascular surgery, 2001. 35(6): p. 437-442. 21. Collins, R., et al., Duplex ultrasonography, magnetic resonance angiography, and computed tomography angiography for diagnosis and assessment of symptomatic, lower limb peripheral arterial disease: systematic review. Bmj, 2007. 334(7606): p. 1257. 22. Salonen, R., et al., Kuopio Atherosclerosis Prevention Study (KAPS) A population-based primary preventive trial of the effect of LDL lowering on atherosclerotic progression in carotid and femoral arteries. Circulation, 1995. 92(7): p. 1758-1764. 23. Ranke, C., A. Creutzig, and K. Alexander, Duplex scanning of the peripheral arteries: correlation of the peak velocity ratio with angiographic diameter reduction. Ultrasound in medicine & biology, 1992. 18(5): p. 433-440. 24. Adriaensen, M.E., et al., Peripheral arterial disease: therapeutic confidence of CT versus digital subtraction angiography and effects on additional imaging recommendations. Radiology, 2004. 233(2): p. 385-391. 25. Qenawy, O.K., et al., Comparative study between multi-detector CT angiography and digital subtraction angiography in evaluation of peripheral arterial occlusive disease. The Egyptian journal of radiology and nuclear medicine, 2015. 46(4): p. 1003-1010. 26. Soulez, G., et al., Management of peripheral arterial disease: role of computed tomography angiography and magnetic resonance angiography. La Presse Médicale, 2011. 40(9): p. e437-e452. 27. Cavallo, A.U., et al., Noncontrast magnetic resonance angiography for the diagnosis of peripheral vascular disease. Circulation: Cardiovascular Imaging, 2019. 12(5): p. e008844. 28. Norgren, L., et al., Inter-society consensus for the management of peripheral arterial disease (TASC II). Journal of vascular surgery, 2007. 45(1): p. S5-S67. 29. Posa, A., et al., Digital subtraction angiography (DSA) technical and diagnostic aspects in the study of lower limb arteries. Radiation, 2022. 2(4): p. 376-386. 30. Mejia-Mejia, E., et al., Photoplethysmography signal processing and synthesis, in Photoplethysmography. 2022, Elsevier. p. 69-146. 31. Hertzman, A.B., Photoelectric plethysmography of the fingers and toes in man. Proceedings of the society for experimental biology and medicine, 1937. 37(3): p. 529-534. 32. Drinnan, M.J., J. Allen, and A. Murray, Relation between heart rate and pulse transit time during paced respiration. Physiological measurement, 2001. 22(3): p. 425. 33. Allen, J. and A. Murray, Similarity in bilateral photoplethysmographic peripheral pulse wave characteristics at the ears, thumbs and toes. Physiological measurement, 2000. 21(3): p. 369. 34. Allen, J. and A. Murray, Age-related changes in the characteristics of the photoplethysmographic pulse shape at various body sites. Physiological measurement, 2003. 24(2): p. 297. 35. Lawall, H., et al., The diagnosis and treatment of peripheral arterial vascular disease. Deutsches Ärzteblatt International, 2016. 113(43): p. 729. 36. Zheng, Z.-J., et al., Associations of ankle-brachial index with clinical coronary heart disease, stroke and preclinical carotid and popliteal atherosclerosis:: the Atherosclerosis Risk in Communities (ARIC) Study. Atherosclerosis, 1997. 131(1): p. 115-125. 37. McGrae McDermott, M., et al., Prevalence and significance of unrecognized lower extremity peripheral arterial disease in general medicine practice. Journal of general internal medicine, 2001. 16(6): p. 384-390. 38. Carter, S.A., Indirect systolic pressures and pulse waves in arterial occlusive disease of the lower extremities. Circulation, 1968. 37(4): p. 624-637. 39. Carter, S.A., Clinical measurement of systolic pressures in limbs with arterial occlusive disease. Jama, 1969. 207(10): p. 1869-1874. 40. Ouriel, K. and C.K. Zarins, Doppler ankle pressure: an evaluation of three methods of expression. Archives of Surgery, 1982. 117(10): p. 1297-1300. 41. Yao, S., J. Hobbs, and W. Irivne, Ankle systolic pressure measurements in arterial disease affecting the lower extremities. Journal of British Surgery, 1969. 56(9): p. 676-679. 42. Resnick, H.E., et al., Relationship of high and low ankle brachial index to all-cause and cardiovascular disease mortality: the Strong Heart Study. Circulation, 2004. 109(6): p. 733-739. 43. Allen, J., et al., Photoplethysmography detection of lower limb peripheral arterial occlusive disease: a comparison of pulse timing, amplitude and shape characteristics. Physiological measurement, 2005. 26(5): p. 811. 44. Allen, J., Photoplethysmography and its application in clinical physiological measurement. Physiological measurement, 2007. 28(3): p. R1. 45. Moneta, G.L., et al., Accuracy of lower extremity arterial duplex mapping. Journal of vascular surgery, 1992. 15(2): p. 275-284. 46. Dunnigan, K. Confidence interval calculation for binomial proportions. in MWSUG Conference, Indianapolis, IN. 2008. 47. Zhu, W., N. Zeng, and N. Wang, Sensitivity, specificity, accuracy, associated confidence interval and ROC analysis with practical SAS implementations. NESUG proceedings: health care and life sciences, Baltimore, Maryland, 2010. 19: p. 67. 48. DeLong, E.R., D.M. DeLong, and D.L. Clarke-Pearson, Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics, 1988: p. 837-845. 49. Høyer, C., J. Sandermann, and L.J. Petersen, The toe-brachial index in the diagnosis of peripheral arterial disease. Journal of vascular surgery, 2013. 58(1): p. 231-238. 50. Garner, K.K., W. Pomeroy, and J.J. Arnold, Exercise stress testing: indications and common questions. American family physician, 2017. 96(5): p. 293-299. 51. Schröder, F., et al., A modified calculation of ankle-brachial pressure index is far more sensitive in the detection of peripheral arterial disease. Journal of vascular surgery, 2006. 44(3): p. 531-536. 52. Poznyak, A., et al., The diabetes mellitus–atherosclerosis connection: The role of lipid and glucose metabolism and chronic inflammation. International journal of molecular sciences, 2020. 21(5): p. 1835. 53. Zoungas, S., et al., Impact of age, age at diagnosis and duration of diabetes on the risk of macrovascular and microvascular complications and death in type 2 diabetes. Diabetologia, 2014. 57(12): p. 2465-2474. 54. Fox, C.S., et al., The significant effect of diabetes duration on coronary heart disease mortality: the Framingham Heart Study. Diabetes care, 2004. 27(3): p. 704-708. 55. Liu, L., et al., Prognostic value of abnormal ankle–brachial index in patients with coronary artery disease: a meta-analysis. Angiology, 2020. 71(6): p. 491-497. 56. Nie, F., et al., Predictive value of abnormal ankle-brachial index in patients with diabetes: a meta-analysis. Diabetes Research and Clinical Practice, 2021. 174: p. 108723. 57. Shioi, A., et al., Mönckeberg's medial sclerosis and inorganic phosphate in uremia. American journal of kidney diseases, 2001. 38(4): p. S47-S49.
|