Literature DB >> 28436270

Does Physiological Stress Slow Down Wound Healing in Patients With Diabetes?

Javad Razjouyan1, Gurtej Singh Grewal2, Talal K Talal3, David G Armstrong1, Joseph L Mills4, Bijan Najafi1.   

Abstract

BACKGROUND: Poor healing is an important contributing factor to amputation among patients with diabetic foot ulcers (DFUs). Physiological stress may slow wound healing and increase susceptibility to infection.
OBJECTIVES: The objective was to examine the association between heart rate variability (HRV) as an indicator of physiological stress response and healing speed (HealSpeed) among outpatients with active DFUs. DESIGN AND METHODS: Ambulatory patients with diabetes with DFUs (n = 25, age: 59.3 ± 8.3 years) were recruited. HRV during pre-wound dressing was measured using a wearable sensor attached to participants' chest. HRVs were quantified in both time and frequency domains to assess physiological stress response and vagal tone (relaxation). Change in wound size between two consecutive visits was used to estimate HealSpeed. Participants were then categorized into slow healing and fast healing groups. Between the two groups, comparisons were performed for demographic, clinical, and HRV derived parameters. Associations between different descriptors of HRV and HealSpeed were also assessed.
RESULTS: HealSpeed was significantly correlated with both vagal tone ( r = -.705, P = .001) and stress response ( r = .713, P = .001) extracted from frequency domain. No between-group differences were observed except those from HRV-derived parameters. Models based on HRVs were the highest predictors of slow/fast HealSpeed (AUC > 0.90), while models based on demographic and clinical information had poor classification performance (AUC = 0.44).
CONCLUSION: This study confirms an association between stress/vagal tone and wound healing in patients with DFUs. In particular, it highlights the importance of vagal tone (relaxation) in expediting wound healing. It also demonstrates the feasibility of assessing physiological stress responses using wearable technology in outpatient clinic during routine clinic visits.

Entities:  

Keywords:  diabetes foot ulcers; heart rate variability; stress; wearable sensor; wound dressing; wound healing

Mesh:

Year:  2017        PMID: 28436270      PMCID: PMC5588845          DOI: 10.1177/1932296817705397

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  38 in total

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2.  Stress and pain associated with dressing change in patients with chronic wounds.

Authors:  D Upton; K Solowiej; C Hender; K Y Woodyatt
Journal:  J Wound Care       Date:  2012-02       Impact factor: 2.072

Review 3.  Obstructive sleep apnea and cardiovascular disease: role of the metabolic syndrome and its components.

Authors:  Girardin Jean-Louis; Ferdinand Zizi; Luther T Clark; Clinton D Brown; Samy I McFarlane
Journal:  J Clin Sleep Med       Date:  2008-06-15       Impact factor: 4.062

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Journal:  Eur Heart J       Date:  1996-03       Impact factor: 29.983

5.  Identification of cut-points for mild, moderate and severe pain due to diabetic peripheral neuropathy.

Authors:  Diane C Zelman; Ellen Dukes; Nancy Brandenburg; Alan Bostrom; Mugdha Gore
Journal:  Pain       Date:  2005-05       Impact factor: 6.961

6.  A global measure of perceived stress.

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7.  Psychological factors and delayed healing in chronic wounds.

Authors:  A Cole-King; K G Harding
Journal:  Psychosom Med       Date:  2001 Mar-Apr       Impact factor: 4.312

8.  Perceived stress and cortisol levels predict speed of wound healing in healthy male adults.

Authors:  Marcel Ebrecht; Justine Hextall; Lauren-Grace Kirtley; Alice Taylor; Mary Dyson; John Weinman
Journal:  Psychoneuroendocrinology       Date:  2004-07       Impact factor: 4.905

9.  The Falls Efficacy Scale International (FES-I). A comprehensive longitudinal validation study.

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Journal:  Age Ageing       Date:  2010-01-08       Impact factor: 10.668

10.  Hemoglobin A1c predicts healing rate in diabetic wounds.

Authors:  Andrea L Christman; Elizabeth Selvin; David J Margolis; Gerald S Lazarus; Luis A Garza
Journal:  J Invest Dermatol       Date:  2011-06-23       Impact factor: 8.551

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  7 in total

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2.  Noninvasive Continuous Monitoring of Vital Signs With Wearables: Fit for Medical Use?

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Review 4.  Health Sensors, Smart Home Devices, and the Internet of Medical Things: An Opportunity for Dramatic Improvement in Care for the Lower Extremity Complications of Diabetes.

Authors:  Rami Basatneh; Bijan Najafi; David G Armstrong
Journal:  J Diabetes Sci Technol       Date:  2018-04-11

Review 5.  Harnessing Digital Health Technologies to Remotely Manage Diabetic Foot Syndrome: A Narrative Review.

Authors:  Bijan Najafi; Ramkinker Mishra
Journal:  Medicina (Kaunas)       Date:  2021-04-14       Impact factor: 2.430

6.  Hemodialysis Impact on Motor Function beyond Aging and Diabetes-Objectively Assessing Gait and Balance by Wearable Technology.

Authors:  He Zhou; Fadwa Al-Ali; Hadi Rahemi; Nishat Kulkarni; Abdullah Hamad; Rania Ibrahim; Talal K Talal; Bijan Najafi
Journal:  Sensors (Basel)       Date:  2018-11-14       Impact factor: 3.576

7.  Wellbuilt for wellbeing: Controlling relative humidity in the workplace matters for our health.

Authors:  Javad Razjouyan; Hyoki Lee; Brian Gilligan; Casey Lindberg; Hung Nguyen; Kelli Canada; Alex Burton; Amir Sharafkhaneh; Karthik Srinivasan; Faiz Currim; Sudha Ram; Matthias R Mehl; Nicole Goebel; Melisa Lunden; Seema Bhangar; Judith Heerwagen; Kevin Kampschroer; Esther M Sternberg; Bijan Najafi
Journal:  Indoor Air       Date:  2019-11-25       Impact factor: 5.770

  7 in total

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