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Armstrong DG, Grunberger G. Stimulating Results Signal a New Treatment Option for People Living With Painful Diabetic Neuropathy. J Diabetes Sci Technol 2023; 17:1387-1391. [PMID: 35770993 PMCID: PMC10563543 DOI: 10.1177/19322968221099542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Painful diabetic neuropathy (PDN) is a progressive condition that deprives many patients of quality of life. With limited treatment options available, successful pain management can be difficult to achieve. METHODS We reviewed results of recent data evaluating high frequency spinal cord stimulation (SCS). RESULTS from the SENZA-PDN randomized clinical trial (NCT03228420), the largest such trial to date, demonstrated 10-kHz spinal cord stimulation substantially reduced PDN refractory to conventional medical management along with improvements in health-related quality-of-life measures that were sustained over 12 months. These data supported the recent U.S. Food & Drug Administration (FDA) approval for 10-kHz SCS in PDN patients and contributed to the body of evidence on SCS available to health care professionals managing the effects of PDN. CONCLUSION High frequency spinal cord simulation appears to hold promise in treatment of painful diabetic neuropathy. We look forward to future works in the literature that will further elucidate these promising findings.
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Affiliation(s)
- David G. Armstrong
- Department of Surgery, Southwestern Academic Limb Salvage Alliance, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - George Grunberger
- Grunberger Diabetes Institute, Bloomfield Hills, MI, USA
- Internal Medicine, Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, MI, USA
- Department of Internal Medicine, Oakland University William Beaumont School of Medicine, Rochester, MI, USA
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Newlin Lew K, Arnold T, Cantelmo C, Jacque F, Posada-Quintero H, Luthra P, Chon KH. Diabetes Distal Peripheral Neuropathy: Subtypes and Diagnostic and Screening Technologies. J Diabetes Sci Technol 2022; 16:295-320. [PMID: 34994241 PMCID: PMC8861801 DOI: 10.1177/19322968211035375] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Diabetes distal symmetrical peripheral neuropathy (DSPN) is the most prevalent form of neuropathy in industrialized countries, substantially increasing risk for morbidity and pre-mature mortality. DSPN may manifest with small-fiber disease, large-fiber disease, or a combination of both. This review summarizes: (1) DSPN subtypes (small- and large-fiber disease) with attention to clinical signs and patient symptoms; and (2) technological diagnosis and screening for large- and small-fiber disease with inclusion of a comprehensive literature review of published studies from 2015-present (N = 66). Review findings, informed by the most up-to-date research, advance critical understanding of DSPN large- and small-fiber screening technologies, including those designed for point-of-care use in primary care and endocrinology practices.
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Affiliation(s)
- Kelley Newlin Lew
- School of Nursing, University of
Connecticut (UConn), Storrs, CT, USA
- Kelley Newlin Lew, School of Nursing,
University of Connecticut (UConn), 231 Glenbrook Road, Storrs, CT 06269, USA.
| | - Tracey Arnold
- School of Nursing, University of
Connecticut (UConn), Storrs, CT, USA
| | | | - Francky Jacque
- Hispanic Alliance of Southeastern
Connecticut, New London, CT, USA
| | - Hugo Posada-Quintero
- Biomedical Engineering Department,
University of Connecticut (UConn), Storrs, CT, USA
| | - Pooja Luthra
- Division of Endocrinology and
Metabolism, UConn Health, Farmington, CT, USA
| | - Ki H. Chon
- Biomedical Engineering Department,
University of Connecticut (UConn), Storrs, CT, USA
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Adams AS, Schmittdiel JA, Altschuler A, Bayliss EA, Neugebauer R, Ma L, Dyer W, Clark J, Cook B, Willyoung D, Jaffe M, Young JD, Kim E, Boggs JM, Prosser L, Wittenberg E, Callaghan B, Shainline M, Hippler RM, Grant RW. Automated symptom and treatment side effect monitoring for improved quality of life among adults with diabetic peripheral neuropathy in primary care: a pragmatic, cluster, randomized, controlled trial. Diabet Med 2019; 36:52-61. [PMID: 30343489 PMCID: PMC7236318 DOI: 10.1111/dme.13840] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/18/2018] [Indexed: 01/19/2023]
Abstract
AIMS To evaluate the effectiveness of automated symptom and side effect monitoring on quality of life among individuals with symptomatic diabetic peripheral neuropathy. METHODS We conducted a pragmatic, cluster randomized controlled trial (July 2014 to July 2016) within a large healthcare system. We randomized 1834 primary care physicians and prospectively recruited from their lists 1270 individuals with neuropathy who were newly prescribed medications for their symptoms. Intervention participants received automated telephone-based symptom and side effect monitoring with physician feedback over 6 months. The control group received usual care plus three non-interactive diabetes educational calls. Our primary outcomes were quality of life (EQ-5D) and select symptoms (e.g. pain) measured 4-8 weeks after starting medication and again 8 months after baseline. Process outcomes included receiving a clinically effective dose and communication between individuals with neuropathy and their primary care provider over 12 months. Interviewers collecting outcome data were blinded to intervention assignment. RESULTS Some 1252 participants completed the baseline measures [mean age (sd): 67 (11.7), 53% female, 57% white, 8% Asian, 13% black, 20% Hispanic]. In total, 1179 participants (93%) completed follow-up (619 control, 560 intervention). Quality of life scores (intervention: 0.658 ± 0.094; control: 0.653 ± 0.092) and symptom severity were similar at baseline. The intervention had no effect on primary [EQ-5D: -0.002 (95% CI -0.01, 0.01), P = 0.623; pain: 0.295 (-0.75, 1.34), P = 0.579; sleep disruption: 0.342 (-0.18, 0.86), P = 0.196; lower extremity functioning: -0.079 (-1.27, 1.11), P = 0.896; depression: -0.462 (-1.24, 0.32); P = 0.247] or process outcomes. CONCLUSIONS Automated telephone monitoring and feedback alone were not effective at improving quality of life or symptoms for people with symptomatic diabetic peripheral neuropathy. TRIAL REGISTRATION ClinicalTrials.gov (NCT02056431).
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Affiliation(s)
- Alyce S. Adams
- Kaiser Permanente Division of Research, Oakland, CA, USA
| | | | | | - Elizabeth A. Bayliss
- Kaiser Permanente Colorado Institute for Health Research, Denver, CO, USA
- University of Colorado School of Medicine, Denver, CO, USA
| | | | - Lin Ma
- Kaiser Permanente Division of Research, Oakland, CA, USA
| | - Wendy Dyer
- Kaiser Permanente Division of Research, Oakland, CA, USA
| | - Joel Clark
- Kaiser Permanente Division of Research, Oakland, CA, USA
| | - Bonieta Cook
- Kaiser Permanente Division of Research, Oakland, CA, USA
| | | | - Marc Jaffe
- Kaiser Permanente South San Francisco Medical Center, South San Francisco, CA, USA
| | | | - Eileen Kim
- Kaiser Permanente Oakland Medical Center, Oakland, CA, USA
| | - Jennifer M. Boggs
- Kaiser Permanente Colorado Institute for Health Research, Denver, CO, USA
| | - Lisa Prosser
- University of Michigan School of Public Health, Ann Arbor, MI, USA
| | | | - Brian Callaghan
- University of Michigan, Michigan Medicine, Neurology Clinic, Ann Arbor, MI, USA
| | - Michael Shainline
- Kaiser Permanente Colorado Institute for Health Research, Denver, CO, USA
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