Literature DB >> 24209599

Hidden dangers revealed by misdiagnosed peripheral arterial disease using ABPI measurement.

Cynthia Formosa1, Kevin Cassar, Alfred Gatt, Anabelle Mizzi, Stephen Mizzi, Kenneth P Camileri, Carl Azzopardi, Clifford DeRaffaele, Owen Falzon, Stefania Cristina, Nachiappan Chockalingam.   

Abstract

AIM: The aim of this study was to compare ankle brachial indices (APBI) with pedal waveforms utilizing the continuous wave Doppler in a population with diabetes mellitus.
METHODS: A prospective study design was employed to investigate the ABPI in a cohort of 49 people with type 2 diabetes mellitus. ABPI assessment was completed using a portable handheld Doppler and ankle pressures of <0.9 were taken as suggestive of peripheral arterial disease (PAD). Arterial spectral waveforms in each foot were also recorded and compared to the ABPI readings.
RESULTS: Inconsistencies were identified between ABPIs and waveform interpretations in the study population. Approximately 35% of subjects had inconsistencies between their ABPI result and waveform interpretation in their right or left foot.
CONCLUSIONS: Both ABPIs and Doppler waveforms should be used in the assessment of people with diabetes in order to screen for PAD. This would ensure an accurate assessment of PAD and would allow initiation of appropriate secondary risk factor control measures.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Ankle brachial pressure index; Diabetes foot screening; Diabetes mellitus; Pedal waveform analysis; Peripheral arterial disease

Mesh:

Year:  2013        PMID: 24209599     DOI: 10.1016/j.diabres.2013.10.006

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  8 in total

1.  A Critical Evaluation of Existing Diabetic Foot Screening Guidelines.

Authors:  Cynthia Formosa; Alfred Gatt; Nachiappan Chockalingam
Journal:  Rev Diabet Stud       Date:  2016-08-10

2.  Thermographic patterns of the upper and lower limbs: baseline data.

Authors:  Alfred Gatt; Cynthia Formosa; Kevin Cassar; Kenneth P Camilleri; Clifford De Raffaele; Anabelle Mizzi; Carl Azzopardi; Stephen Mizzi; Owen Falzon; Stefania Cristina; Nachiappan Chockalingam
Journal:  Int J Vasc Med       Date:  2015-01-13

Review 3.  Imaging of small animal peripheral artery disease models: recent advancements and translational potential.

Authors:  Jenny B Lin; Evan H Phillips; Ti'Air E Riggins; Gurneet S Sangha; Sreyashi Chakraborty; Janice Y Lee; Roy J Lycke; Clarissa L Hernandez; Arvin H Soepriatna; Bradford R H Thorne; Alexa A Yrineo; Craig J Goergen
Journal:  Int J Mol Sci       Date:  2015-05-18       Impact factor: 5.923

4.  The progression rate of peripheral arterial disease in patients with intermittent claudication: a systematic review.

Authors:  A Mizzi; K Cassar; C Bowen; C Formosa
Journal:  J Foot Ankle Res       Date:  2019-08-06       Impact factor: 2.303

5.  Establishing Differences in Thermographic Patterns between the Various Complications in Diabetic Foot Disease.

Authors:  Alfred Gatt; Owen Falzon; Kevin Cassar; Christian Ellul; Kenneth P Camilleri; Jean Gauci; Stephen Mizzi; Anabelle Mizzi; Cassandra Sturgeon; Liberato Camilleri; Nachiappan Chockalingam; Cynthia Formosa
Journal:  Int J Endocrinol       Date:  2018-03-12       Impact factor: 3.257

6.  Correlation Between Ankle Brachial Index and Lower Limbs Digital Pulse Oximetry: A Referral Center Experience, Prevalence Study.

Authors:  Juan Sanjuan; Edwin Romero; Rolando Medina; Wilmer Botache; Gabriela Ruiz; Andres Ramirez; Estefania Barbosa; Maria Andrade; Roberto Diaz; Francisco J Montoya
Journal:  Cureus       Date:  2020-01-24

7.  Determining the presence of Peripheral Arterial Disease in patients with Rheumatoid Arthritis.

Authors:  Andrea C Grech; Alfred Gatt; Andrew A Borg; Cynthia Formosa
Journal:  Mediterr J Rheumatol       Date:  2017-06-27

8.  The early diagnostic value of ankle-brachial index combined with feet electrochemical skin conductance for peripheral artery disease in type 2 diabetes.

Authors:  Yun Zhao; Liji Huang; Xiqiao Zhou; Jingshun Liu; Jiangyi Yu
Journal:  J Diabetes Investig       Date:  2021-10-21       Impact factor: 4.232

  8 in total

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