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Visser MM, Charleer S, Fieuws S, De Block C, Hilbrands R, Van Huffel L, Maes T, Vanhaverbeke G, Dirinck E, Myngheer N, Vercammen C, Nobels F, Keymeulen B, Mathieu C, Gillard P. The Impact of Baseline User Characteristics on the Benefits of Real-Time Versus Intermittently Scanned Continuous Glucose Monitoring in Adults With Type 1 Diabetes: Moderator Analyses of the ALERTT1 Trial. J Diabetes Sci Technol 2024; 18:660-666. [PMID: 36172693 PMCID: PMC11089880 DOI: 10.1177/19322968221128315] [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: 11/16/2022]
Abstract
BACKGROUND ALERTT1 showed that switching from intermittently scanned continuous glucose monitoring (isCGM) without alerts to real-time CGM (rtCGM) with alert functionality improved time in range (TIR; 70-180 mg/dL), glycated hemoglobin (HbA1c), time <54 mg/dL, and Hypoglycemia Fear Survey version II worry subscale (HFS-worry) score after six months in adults with type 1 diabetes (T1D). Moderator analyses aimed to identify certain subgroups that would benefit more from switching to rtCGM than others. METHODS Post hoc analyses of ALERTT1 evaluated the impact of 14 baseline characteristics on the difference (delta) in mean TIR, HbA1c, time <54 mg/dL, and HFS-worry score at six months between rtCGM and isCGM. Therefore, the delta was allowed to depend on each of these variables by including interactions in the moderator analysis model. Analyses were performed separately for each variable; variables with P < .10 in the univariable analysis were combined into a single model. RESULTS Univariable analyses showed no dependency of delta TIR, HbA1c, or time <54 mg/dL on variables other than CGM type. Only delta HFS-worry score depended on baseline HbA1c (P = .0059), indicating less worries with rtCGM in people with baseline HbA1c <6.5% or ≥8%. Given P < .10 for dependency of delta TIR on insulin therapy type (favoring multiple daily injections), baseline HbA1c, and baseline TIR, these variables were combined into a multivariable analysis; interactions were not statistically significant. CONCLUSIONS Except for HFS-worry score, no interactions between 14 baseline characteristics and the six-month intervention effect of rtCGM on TIR, HbA1c, or time <54 mg/dL were observed, supporting the conclusion of ALERTT1 that switching from isCGM without alerts to rtCGM with alert functionality is beneficial for a wide range of people with T1D.
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Affiliation(s)
| | - Sara Charleer
- Department of Endocrinology, University Hospitals Leuven – KU Leuven, Leuven, Belgium
| | - Steffen Fieuws
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics, KU Leuven and University of Hasselt, Leuven, Belgium
| | - Christophe De Block
- Department of Endocrinology-Diabetology-Metabolism, University Hospital Antwerp, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Robert Hilbrands
- Academic Hospital and Diabetes Research Centre, Vrije Universiteit Brussel, Brussels, Belgium
| | | | - Toon Maes
- Department of Endocrinology, Imeldaziekenhuis Bonheiden, Bonheiden, Belgium
| | | | - Eveline Dirinck
- Department of Endocrinology-Diabetology-Metabolism, University Hospital Antwerp, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Nele Myngheer
- Department of Endocrinology, AZ Groeninge, Kortrijk, Belgium
| | - Chris Vercammen
- Department of Endocrinology, Imeldaziekenhuis Bonheiden, Bonheiden, Belgium
| | - Frank Nobels
- Department of Endocrinology, OLV Hospital Aalst, Aalst, Belgium
| | - Bart Keymeulen
- Academic Hospital and Diabetes Research Centre, Vrije Universiteit Brussel, Brussels, Belgium
| | - Chantal Mathieu
- Department of Endocrinology, University Hospitals Leuven – KU Leuven, Leuven, Belgium
| | - Pieter Gillard
- Department of Endocrinology, University Hospitals Leuven – KU Leuven, Leuven, Belgium
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Sebastian-Valles F, Martínez-Alfonso J, Arranz Martin JA, Jiménez-Díaz J, Hernando Alday I, Navas-Moreno V, Armenta Joya T, Fandiño García MDM, Román Gómez GL, Lander Lobariñas LE, Martinez de Icaya P, Sampedro-Nuñez MA, Martínez-Vizacaíno V, Marazuela M. Scans per day as predictors of optimal glycemic control in people with type 1 diabetes mellitus using flash glucose monitoring: what number of scans per day should raise a red flag? Acta Diabetol 2024; 61:343-350. [PMID: 37930420 PMCID: PMC10948530 DOI: 10.1007/s00592-023-02204-x] [Citation(s) in RCA: 1] [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] [Received: 03/11/2023] [Accepted: 10/16/2023] [Indexed: 11/07/2023]
Abstract
AIMS This study aimed to determine the minimum frequency of flash glucose monitoring (FGM) scans necessary for optimal glycemic control in patients with type 1 diabetes (T1D). METHODS Data were collected from 692 patients (47.5% female, with a median age of 47.4 years) who used FGM systems daily and recorded their clinical variables and device data. RESULTS Logistic regression models showed that performing more than 12 scans per day was associated with improved T1D control (OR = 4.22, p < 0.001) and a reduction in HbA1c (7.6 vs 7.0%, 60-53 mmol/mol p < 0.001). However, those performing less than 6 scans showed no improvement in HbA1c (7.9 vs 7.8%, 63-61 mmol/mol p = 0.514). Thirteen daily scans were determined as the optimal cutoff point for predicting optimal glycemic control using a maximally selected rank algorithm. Significant reductions were observed in mean glucose (< 0.001), coefficient of variation (< 0.001), HbA1c (< 0.001), and an increase in TIR (< 0.001) in patients who performed more than 12 daily scans. CONCLUSIONS The results suggest that a higher frequency of daily scans by T1D patients using FGM systems leads to improved chronic glycemic control. The minimum recommended frequency for optimal control is 13 scans per day, and more than 6 daily scans are needed to improve HbA1c.
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Affiliation(s)
- Fernando Sebastian-Valles
- Department of Endocrinology and Nutrition, Hospital Universitario de La PrincesaInstituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, 28006, Madrid, Spain.
| | - Julia Martínez-Alfonso
- Department of Family and Community Medicine, Hospital La Princesa/Centro de Salud Daroca, 28006, Madrid, Spain
| | - Jose Alfonso Arranz Martin
- Department of Endocrinology and Nutrition, Hospital Universitario de La PrincesaInstituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, 28006, Madrid, Spain
| | - Jessica Jiménez-Díaz
- Department of Endocrinology and Nutrition, Hospital Universitario Severo Ochoa, 28194, Leganés, Madrid, Spain
| | - Iñigo Hernando Alday
- Department of Endocrinology and Nutrition, Hospital Universitario Basurto, 48013, Bilbao, Spain
| | - Victor Navas-Moreno
- Department of Endocrinology and Nutrition, Hospital Universitario de La PrincesaInstituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, 28006, Madrid, Spain
| | - Teresa Armenta Joya
- Department of Endocrinology and Nutrition, Hospital Universitario de La PrincesaInstituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, 28006, Madrid, Spain
| | | | - Gisela Liz Román Gómez
- Department of Endocrinology and Nutrition, Hospital Universitario Severo Ochoa, 28194, Leganés, Madrid, Spain
| | | | | | - Miguel Antonio Sampedro-Nuñez
- Department of Endocrinology and Nutrition, Hospital Universitario de La PrincesaInstituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, 28006, Madrid, Spain
| | - Vicente Martínez-Vizacaíno
- Health and Social Care Research Center, Universidad de Castilla-La Mancha, 16071, Cuenca, Spain
- Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca, Chile
| | - Mónica Marazuela
- Department of Endocrinology and Nutrition, Hospital Universitario de La PrincesaInstituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, 28006, Madrid, Spain
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 7. Diabetes Technology: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S126-S144. [PMID: 38078575 PMCID: PMC10725813 DOI: 10.2337/dc24-s007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Sakane N, Hirota Y, Yamamoto A, Miura J, Takaike H, Hoshina S, Toyoda M, Saito N, Hosoda K, Matsubara M, Tone A, Kawashima S, Sawaki H, Matsuda T, Domichi M, Suganuma A, Sakane S, Murata T. Association of scan frequency with CGM-derived metrics and influential factors in adults with type 1 diabetes mellitus. Diabetol Int 2024; 15:109-116. [PMID: 38264231 PMCID: PMC10800315 DOI: 10.1007/s13340-023-00655-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 07/27/2023] [Indexed: 01/25/2024]
Abstract
Introduction This study aimed to investigate the association between scan frequency and intermittently scanned continuous glucose monitoring (isCGM) metrics and to clarify the factors affecting scan frequency in adults with type 1 diabetes mellitus (T1D). Methods We enrolled adults with T1D who used FreeStyle® Libre. Scan and self-monitoring of blood glucose (SMBG) frequency and CGM metrics from the past 90-day glucose data were collected. The receiver operating characteristic curve was plotted to obtain the optimal cutoff values of scan frequency for the target values of time in range (TIR), time above range (TAR), and time below range (TBR). Results The study was conducted on 211 adults with T1D (mean age, 50.9 ± 15.2 years; male, 40.8%; diabetes duration, 16.4 ± 11.9 years; duration of CGM use, 2.1 ± 1.0 years; and mean HbA1c, 7.6 ± 0.9%). The average scan frequency was 10.5 ± 3.3 scan/day. Scan frequency was positively correlated with TIR and negatively correlated with TAR, although it was not significantly correlated with TBR. Scan frequency was positively correlated with the hypoglycemia fear survey-behavior score, while it was negatively correlated with some glycemic variability metrics. Adult patients with T1D and good exercise habits had a higher scan frequency than those without exercise habits. The AUC for > 70% of the TIR was 0.653, with an optimal cutoff of 11 scan/day. Conclusions In real-world conditions, frequent scans were linked to improved CGM metrics, including increased TIR, reduced TAR, and some glycemic variability metrics. Exercise habits and hypoglycemia fear-related behavior might affect scan frequency. Our findings could help healthcare professionals use isCGM to support adults with T1D.Clinical Trial Registry No. UMIN000039376.
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Affiliation(s)
- Naoki Sakane
- Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, 1-1 Mukaihata-cho, Fukakusa, Fushimi-ku, Kyoto, 612-8555 Japan
| | - Yushi Hirota
- Division of Diabetes and Endocrinology, The Department of Internal Medicine, Kobe University Graduate School of Medicine Hyogo, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe City, Hyogo, 650-0017 Japan
| | - Akane Yamamoto
- Division of Diabetes and Endocrinology, The Department of Internal Medicine, Kobe University Graduate School of Medicine Hyogo, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe City, Hyogo, 650-0017 Japan
| | - Junnosuke Miura
- Division of Diabetology and Metabolism, Department of Internal Medicine Tokyo Women’s Medical University School of Medicine, 8-1 Kawada-cho, Shinjuku-ku, Tokyo, 162-8666 Japan
| | - Hiroko Takaike
- Division of Diabetology and Metabolism, Department of Internal Medicine Tokyo Women’s Medical University School of Medicine, 8-1 Kawada-cho, Shinjuku-ku, Tokyo, 162-8666 Japan
| | - Sari Hoshina
- Division of Diabetology and Metabolism, Department of Internal Medicine Tokyo Women’s Medical University School of Medicine, 8-1 Kawada-cho, Shinjuku-ku, Tokyo, 162-8666 Japan
| | - Masao Toyoda
- Division of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara-shi, Kanagawa, 259-1143 Japan
| | - Nobumichi Saito
- Division of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara-shi, Kanagawa, 259-1143 Japan
| | - Kiminori Hosoda
- Division of Diabetes and Lipid Metabolism, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565 Japan
| | - Masaki Matsubara
- Division of Diabetes and Lipid Metabolism, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565 Japan
- Department of General Medicine, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522 Japan
| | - Atsuhito Tone
- Department of Internal Medicine, Okayama Saiseikai General Hospital, 2-25 Kokutai-cho, Kita-ku, Okayama-shi, Okayama, 700-8511 Japan
| | - Satoshi Kawashima
- Kanda Naika Clinic, 5-21-3 Hannan-cho, Abeno-ku, Osaka-shi, Osaka, 545-0021 Japan
| | - Hideaki Sawaki
- Sawaki Internal Medicine And Diabetes Clinic, 1-1-501A Konyamachi, Takatsuki-shi, Osaka, 569-0804 Japan
| | - Tomokazu Matsuda
- Matsuda Diabetes Clinic, 78-7 Ohtsukadai, Nishi-ku, Kobe City, Hyogo, 651-2135 Japan
| | - Masayuki Domichi
- Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, 1-1 Mukaihata-cho, Fukakusa, Fushimi-ku, Kyoto, 612-8555 Japan
| | - Akiko Suganuma
- Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, 1-1 Mukaihata-cho, Fukakusa, Fushimi-ku, Kyoto, 612-8555 Japan
| | - Seiko Sakane
- Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, 1-1 Mukaihata-cho, Fukakusa, Fushimi-ku, Kyoto, 612-8555 Japan
| | - Takashi Murata
- Department of Clinical Nutrition, National Hospital Organization Kyoto Medical Center, 1-1 Mukaihata-cho, Fukakusa, Fushimi-ku, Kyoto, 612-8555 Japan
- Diabetes Center, National Hospital Organization Kyoto Medical Center, 1-1 Mukaihata-cho, Fukakusa, Fushimi-ku, Kyoto, 612-8555 Japan
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Savoy A, Holden RJ, de Groot M, Clark DO, Sachs GA, Klonoff D, Weiner M. Improving Care for People Living With Dementia and Diabetes: Applying the Human-Centered Design Process to Continuous Glucose Monitoring. J Diabetes Sci Technol 2024; 18:201-206. [PMID: 36384313 PMCID: PMC10899847 DOI: 10.1177/19322968221137907] [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: 11/18/2022]
Abstract
People with Alzheimer's disease or related dementias and diabetes mellitus (ADRD-DM) are at high risk for hypoglycemic events. Their cognitive impairment and psychosocial situation often hinder detection of hypoglycemia. Extending use and benefits of continuous glucose monitoring (CGM) to people with ADRD-DM could improve hypoglycemia detection, inform care, and reduce adverse events. However, cognitive impairment associated with ADRD presents unique challenges for CGM use. This commentary proposes applying the human-centered design process to CGM, investigating design solutions or interventions needed to integrate CGM into the health care of patients with ADRD-DM. With this process, we can identify and inform CGM designs for people with ADRD-DM, broadening CGM access, increasing detection and treatment of the silent threat posed by hypoglycemia.
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Affiliation(s)
- April Savoy
- Purdue School of Engineering & Technology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA
- Regenstrief Institute, Inc., Indianapolis, IN, USA
- Center for Health Information and Communication, Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development Service CIN 13-416, Richard L. Roudebush VA Medical Center, Indianapolis, IN, USA
| | - Richard J. Holden
- Regenstrief Institute, Inc., Indianapolis, IN, USA
- Indiana University School of Public Health-Bloomington, Bloomington, IN, USA
- Indiana University School of Medicine, Indianapolis, IN, USA
| | - Mary de Groot
- Indiana University School of Medicine, Indianapolis, IN, USA
| | - Daniel O. Clark
- Regenstrief Institute, Inc., Indianapolis, IN, USA
- Indiana University School of Medicine, Indianapolis, IN, USA
| | - Greg A. Sachs
- Regenstrief Institute, Inc., Indianapolis, IN, USA
- Indiana University School of Medicine, Indianapolis, IN, USA
- Eskenazi Health, Indianapolis, IN, USA
| | - David Klonoff
- School of Medicine, University of California San Francisco, San Francisco, CA, USA
- Dorothy L. and James E. Frank Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA
| | - Michael Weiner
- Regenstrief Institute, Inc., Indianapolis, IN, USA
- Center for Health Information and Communication, Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development Service CIN 13-416, Richard L. Roudebush VA Medical Center, Indianapolis, IN, USA
- Indiana University School of Medicine, Indianapolis, IN, USA
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Canecki-Varzic S, Prpic-Krizevac I, Cigrovski Berkovic M, Rahelic D, Schonberger E, Gradiser M, Bilic-Curcic I. Flash Glucose Monitoring in Croatia: The Optimal Number of Scans per Day to Achieve Good Glycemic Control in Type 1 Diabetes. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1893. [PMID: 38003943 PMCID: PMC10673386 DOI: 10.3390/medicina59111893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 10/23/2023] [Accepted: 10/24/2023] [Indexed: 11/26/2023]
Abstract
Background and Objectives: The purpose of this study is to determine the optimal number of scans per day required for attaining good glycemic regulation. Materials and Methods: The association of scanning frequency and glucometrics was analyzed according to bins of scanning frequency and bins of time in range (TIR) in the Croatian population of type 1 diabetes (T1DM) patients. Results: Intermittently scanned continuous glucose monitoring (isCGM) Libre users in Croatia performed on average 13 ± 7.4 scans per day. According to bins of scanning frequency, bin 5 with 11.2 ± 02 daily scans was sufficient for achieving meaningful improvements in glycemic regulation, while decreasing severe hypoglycemia required an increasing number of scans up to bin 10 (31 ± 0.9), yet with no effect on TIR improvement. When data were analyzed according to bins of TIR, an average of 16.3 ± 10.5 scans daily was associated with a TIR of 94.09 ± 3.49% and a coefficient of variation (CV) of 22.97 ± 4.94%. Improvement was shown between each successive bin of TIR but, of notice, the number of scans performed per day was 16.3 ± 10.5 according to TIR-based analysis and 31.9 ± 13.5 in bin 10 according to scan frequency analysis. Conclusions: In conclusion, an optimal average number of scans per day is 16.3 in order to achieve glucose stability and to minimize the burden associated with over-scanning.
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Affiliation(s)
- Silvija Canecki-Varzic
- Department of Endocrinology, Clinical Hospital Center Osijek, 31000 Osijek, Croatia; (S.C.-V.); (I.P.-K.); (E.S.)
- Department of Pathophysiology, Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
| | - Ivana Prpic-Krizevac
- Department of Endocrinology, Clinical Hospital Center Osijek, 31000 Osijek, Croatia; (S.C.-V.); (I.P.-K.); (E.S.)
- Department of Internal Medicine and History of Medicine, Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
| | - Maja Cigrovski Berkovic
- Department of Medicine of Sports and Exercise, Faculty of Kinesiology, University of Zagreb, 10000 Zagreb, Croatia;
| | - Dario Rahelic
- University Clinic for Diabetes Vuk Vrhovac, 10000 Zagreb, Croatia;
- School of Medicine, Catholic University of Croatia, 10000 Zagreb, Croatia
| | - Ema Schonberger
- Department of Endocrinology, Clinical Hospital Center Osijek, 31000 Osijek, Croatia; (S.C.-V.); (I.P.-K.); (E.S.)
- Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
| | - Marina Gradiser
- Department of Internal Medicine, County Hospital Čakovec, 40000 Čakovec, Croatia;
| | - Ines Bilic-Curcic
- Department of Endocrinology, Clinical Hospital Center Osijek, 31000 Osijek, Croatia; (S.C.-V.); (I.P.-K.); (E.S.)
- Department of Pharmacology, Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Josipa Huttlera 4, 31000 Osijek, Croatia
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Ampudia-Blasco FJ, Ugarte-Abasolo E, Chico A, García-Alemán J, Galan-Barroso M. Spanish Consensus on the Use of Intermittently Scanned Continuous Glucose Monitoring in the Management of Patients With Insulin Therapy: The MONITOR Project. J Diabetes Sci Technol 2023; 17:1256-1264. [PMID: 35466722 PMCID: PMC10563520 DOI: 10.1177/19322968221087270] [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 Continuous glucose monitoring (CGM) systems are increasingly being adopted as an alternative or adjunct to self-monitoring of blood glucose (SMBG) by patients receiving insulin therapy. However, the available evidence on the role of intermittently scanned CGM or flash CGM (isCGM) remains limited. This consensus aims to evaluate the degree of agreement among Spanish experts on the role of isCGM in the evaluation of glycemic variability, reduction of glycosylated hemoglobin (HbA1c) levels, and selection and adjustment of insulin therapy. METHODS Delphi methodology was used to achieve consensus in two survey rounds. A total of 431 Spanish endocrinologists participated in the first round of a 34-item questionnaire survey on isCGM and 427 participated in the second round. Any disagreement was resolved in round 2. RESULTS Consensus was reached for 32 statements, and four items were ultimately agreed upon SMBG after round 2. There was a high degree of consensus that isCGM helps to evaluate glycemic variability, improves HbA1c levels, and can guide therapeutic changes in type 1 diabetes patients. However, there was no consensus on the routine use of the interquartile range to evaluate glycemic variability or the selection of HbA1c as the main parameter for monitoring glycemic control. CONCLUSIONS Most Spanish experts believe that the isCGM system is appropriate for: (1) identifying glycemic variability and facilitating its management, (2) evaluating hyperglycemia as a complement of HbA1c levels, and (3) guiding therapeutic decisions on insulin selection and dosing. The isCGM system is a useful tool for patients and health care professionals to improve glycemic control in insulin-dependent diabetes.
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Affiliation(s)
| | | | - Ana Chico
- Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau, Barcelona, CIBER-BBN, Spain
| | - Jorge García-Alemán
- Department of Endocrinology and Nutrition, Hospital Clínico Universitario Virgen de la Victoria, Malaga, Spain
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Sińska BI, Kucharska A, Panczyk M, Matejko B, Traczyk I, Harton A, Jaworski M. Identification of Sociodemographic and Clinical Factors Influencing the Feeling of Stigmatization in People with Type 1 Diabetes. Healthcare (Basel) 2023; 11:2185. [PMID: 37570425 PMCID: PMC10418912 DOI: 10.3390/healthcare11152185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 07/28/2023] [Accepted: 07/31/2023] [Indexed: 08/13/2023] Open
Abstract
BACKGROUND A large percentage of people with type 1 diabetes experience stigma, which may directly affect diabetes management. Moreover, it may adversely influence the acceptance of the disease and, thus, the treatment process, including compliance with medical and dietary recommendations. Therefore, it is important to seek adequate forms of counteracting the phenomenon of stigmatization. Thus, the aim of the study was to determine the factors influencing the level of perceived stigma by T1D patients, with particular emphasis on sociodemographic factors (including sex, place of residence, and education) and clinical factors related to the course of the disease. METHODS An observational cross-sectional online questionnaire was conducted in a group of 339 people with T1D. The link to the questionnaire was shared via social media. The DSAS-1 questionnaire translated into Polish was used as the research tool. RESULTS A moderate level of stigmatization was found (49.78 ± 14.54 points). It was significantly lower in people living in small towns compared to rural residents (ß = -0.121, p = 0.038), lower in people in relationships compared to those who are single (ß = -0.175, p = 0.001), in people diagnosed with T1D at an older age (ß = -0.107, p = 0.048), and in those who rated their financial situation as very good vs. bad (ß = -0.314, p < 0.001). It was also found that the level of stigma significantly decreased with age (ß = -0.181, p = 0.001). In addition, a significantly higher stigma perception was uncovered in the group of people with HbA1C > 7% than in the group ≤ 7% (ß = 0.118, p = 0.030). CONCLUSIONS Due to the occurrence of stigma among people with T1D, which can directly affect the management of diabetes, effective and comprehensive efforts should be made to provide support to people with diabetes. It is also necessary to raise awareness among the general public and disseminate knowledge about diabetes, which can reduce stigmatization as a result. Anti-stigma messages should be included in the prevention programs about the potential side effects and risks associated with mistreating people with T1D.
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Affiliation(s)
- Beata I. Sińska
- Department of Human Nutrition, Faculty of Health Sciences, Medical University of Warsaw, 27 Erazma Ciołka Street, 01-445 Warsaw, Poland; (A.K.); (I.T.)
| | - Alicja Kucharska
- Department of Human Nutrition, Faculty of Health Sciences, Medical University of Warsaw, 27 Erazma Ciołka Street, 01-445 Warsaw, Poland; (A.K.); (I.T.)
| | - Mariusz Panczyk
- Department of Education and Research in Health, Faculty of Health Sciences, Medical University of Warsaw, 61 Żwirki i Wigury Street, 02-091 Warsaw, Poland; (M.P.); (M.J.)
| | - Bartłomiej Matejko
- Department of Metabolic Diseases, Jagiellonian University Medical College, 2 Jakubowskiego Street, 30-688 Krakow, Poland;
| | - Iwona Traczyk
- Department of Human Nutrition, Faculty of Health Sciences, Medical University of Warsaw, 27 Erazma Ciołka Street, 01-445 Warsaw, Poland; (A.K.); (I.T.)
| | - Anna Harton
- Department of Dietetics, Institute of Human Nutrition Sciences, Warsaw University of Life Sciences (WULS), 159C Nowoursynowska Str., 02-776 Warsaw, Poland;
| | - Mariusz Jaworski
- Department of Education and Research in Health, Faculty of Health Sciences, Medical University of Warsaw, 61 Żwirki i Wigury Street, 02-091 Warsaw, Poland; (M.P.); (M.J.)
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Baretić M, Lekšić G, Ivanišević M. Ambulatory Glucose Profile Changes During Pregnancy in Women With Type 1 Diabetes Using Intermittently Scanned Continuous Glucose Monitoring Empowered by Personalized Education. Diabetes Spectr 2023; 36:373-378. [PMID: 38024224 PMCID: PMC10654119 DOI: 10.2337/ds22-0094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2023]
Abstract
The ambulatory glucose profile is a valuable tool in managing type 1 diabetes during pregnancy. Time in range (TIR) in the third trimester is one of the most significant parameters contributing to good pregnancy outcomes. This study aimed to evaluate the effect of intermittently scanned continuous glucose monitoring (isCGM) empowered by education on glucose dynamics and to predict third trimester TIR. Data were retrospectively analyzed from 38 pregnant patients with type 1 diabetes (mean age 30.4 ± 6.4 years, BMI 23.7 ± 3.7 kg/m2, disease duration 15.4 ± 9.5 years, preconception A1C 6.9 ± 1%) who used a first-generation FreeStyle Libre isCGM system for at least 3 months before conception and had sensor data captured >70% of the time the system was used. Patients received personalized education on diabetes and on minimizing hypoglycemia and hyperglycemia using CGM trend arrows and frequent sensor scanning. This intervention improved glycemic parameters of glucose regulation (TIR, glucose management indicator, and mean glucose), hyperglycemia (time above range), glucose variability (SD and coefficient of variation [%CV]), and scanning frequency, but did not improve parameters of hypoglycemia (time below range and a number of low glucose events). Logistic regression analysis showed that the first trimester %CV and scanning frequency contributed to the third trimester TIR (P <0.01, adjusted R2 0.40). This study suggests that the use of isCGM empowered by personalized education improves glycemic control in pregnant women with type 1 diabetes. Scanning frequency and %CV in the first trimester predicts TIR in the third trimester, which could help clinicians intervene early to improve outcomes.
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Affiliation(s)
- Maja Baretić
- Division of Endocrinology and Diabetes, Department of Internal Medicine, University Hospital Centre Zagreb, Zagreb, Croatia
- University of Zagreb School of Medicine, Zagreb, Croatia
| | - Gloria Lekšić
- Department of Internal Medicine, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Marina Ivanišević
- University of Zagreb School of Medicine, Zagreb, Croatia
- Department of Gynaecology and Obstetrics, University Hospital Centre Zagreb, Zagreb, Croatia
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10
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Messer LH, Addala A, Weinzimer SA. Real-World Diabetes Technology: Overcoming Barriers and Disparities. Diabetes Technol Ther 2023; 25:S176-S190. [PMID: 36802191 DOI: 10.1089/dia.2023.2511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Affiliation(s)
- Laurel H Messer
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Ananta Addala
- Division of Pediatric Endocrinology & Diabetes, Department of Pediatrics, Stanford University, Palo Alto, CA, USA
| | - Stuart A Weinzimer
- Department of Pediatrics, Yale University School of Medicine, New Haven, CT, USA
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11
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Smith IP, Whichello CL, de Bekker-Grob EW, Mölken MPMHRV, Veldwijk J, de Wit GA. The Impact of Video-Based Educational Materials with Voiceovers on Preferences for Glucose Monitoring Technology in Patients with Diabetes: A Randomised Study. THE PATIENT 2023; 16:223-237. [PMID: 36670244 PMCID: PMC10121708 DOI: 10.1007/s40271-022-00612-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/15/2022] [Indexed: 01/22/2023]
Abstract
INTRODUCTION Ensuring patients have enough information about healthcare choices prior to completing a preference study is necessary to support the validity of the findings. Patients are commonly informed using text-based information with supporting graphics. Video-based information may be more engaging for the general patient population. This study aimed to assess (1) the impact that educating patients using video-based educational materials with a voiceover has on patient preferences compared to traditional text, and (2) whether this impact is consistent between two countries. MATERIALS AND METHODS A video-based educational tool was developed to inform patients prior to completing a discrete choice experiment assessing preferences for glucose monitors. Patients with diabetes from the Netherlands and Poland were recruited through an online research panel. Respondents were randomised to receive information in either a text or a video with animations and a voiceover. Data were analysed using a mixed-logit model. RESULTS N = 981 completed surveys were analysed from the Netherlands (n = 459) and Poland (n = 522). Differences were found between the countries, but no interpretable pattern of differences was found between the two types of educational materials. Patients spent less time in the educational material than would be necessary to fully review all of the content. CONCLUSIONS Simply providing educational material in a video with animations and voiceovers does not necessarily lead to better engagement from respondents or different preference outcomes in a sample of diabetes patients when compared to text. Increasing engagement with educational materials should be a topic of future research for those conducting patient preference research as no amount of educational material will be helpful if respondents do not access it.
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Affiliation(s)
- Ian P Smith
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.
| | - Chiara L Whichello
- Evidera, London, UK.,Erasmus Choice Modelling Centre, Erasmus University Rotterdam, Rotterdam, The Netherlands.,Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Esther W de Bekker-Grob
- Erasmus Choice Modelling Centre, Erasmus University Rotterdam, Rotterdam, The Netherlands.,Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | | | - Jorien Veldwijk
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.,Erasmus Choice Modelling Centre, Erasmus University Rotterdam, Rotterdam, The Netherlands.,Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - G Ardine de Wit
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
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12
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Chrzanowski J, Grabia S, Michalak A, Wielgus A, Wykrota J, Mianowska B, Szadkowska A, Fendler W. GlyCulator 3.0: A Fast, Easy-to-Use Analytical Tool for CGM Data Analysis, Aggregation, Center Benchmarking, and Data Sharing. Diabetes Care 2023; 46:e3-e5. [PMID: 36356162 PMCID: PMC9918444 DOI: 10.2337/dc22-0534] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 10/12/2022] [Indexed: 11/12/2022]
Affiliation(s)
- Jędrzej Chrzanowski
- Department of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland
| | - Szymon Grabia
- Department of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland
| | - Arkadiusz Michalak
- Department of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland
- Department of Pediatrics, Diabetology, Endocrinology and Nephrology, Medical University of Lodz, Lodz, Poland
| | - Anna Wielgus
- Department of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland
| | - Julia Wykrota
- Department of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland
| | - Beata Mianowska
- Department of Pediatrics, Diabetology, Endocrinology and Nephrology, Medical University of Lodz, Lodz, Poland
| | - Agnieszka Szadkowska
- Department of Pediatrics, Diabetology, Endocrinology and Nephrology, Medical University of Lodz, Lodz, Poland
| | - Wojciech Fendler
- Department of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA
- Corresponding author: Wojciech Fendler,
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13
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Gabbay RA. 7. Diabetes Technology: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S111-S127. [PMID: 36507635 PMCID: PMC9810474 DOI: 10.2337/dc23-s007] [Citation(s) in RCA: 116] [Impact Index Per Article: 116.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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14
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Smith IP, Whichello CL, Veldwijk J, Rutten-van Mölken MPMH, Groothuis-Oudshoorn CGM, Vos RC, de Bekker-Grob EW, de Wit GA. Diabetes patient preferences for glucose-monitoring technologies: results from a discrete choice experiment in Poland and the Netherlands. BMJ Open Diabetes Res Care 2023; 11:11/1/e003025. [PMID: 36649973 PMCID: PMC9853131 DOI: 10.1136/bmjdrc-2022-003025] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 12/10/2022] [Indexed: 01/19/2023] Open
Abstract
INTRODUCTION New glucose-monitoring technologies have different cost-benefit profiles compared with traditional finger-prick tests, resulting in a preference-sensitive situation for patients. This study aimed to assess the relative value adults with diabetes assign to device attributes in two countries. RESEARCH DESIGN AND METHODS Adults with type 1 or 2 diabetes from the Netherlands (n=226) and Poland (n=261) completed an online discrete choice experiment. Respondents choose between hypothetical glucose monitors described using seven attributes: precision, effort to check, number of finger pricks required, risk of skin irritation, information provided, alarm function and out-of-pocket costs. Panel mixed logit models were used to determine attribute relative importance and to calculate expected uptake rates and willingness to pay (WTP). RESULTS The most important attribute for both countries was monthly out-of-pocket costs. Polish respondents were more likely than Dutch respondents to choose a glucose-monitoring device over a standard finger prick and had higher WTP for a device. Dutch respondents had higher WTP for device improvements in an effort to check and reduce the number of finger pricks a device requires. CONCLUSION Costs are the primary concern of patients in both countries when choosing a glucose monitor and would likely hamper real-world uptake. The costs-benefit profiles of such devices should be critically reviewed.
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Affiliation(s)
- Ian P Smith
- Healthcare Innovation and Evaluation, University Medical Center Utrecht, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands
| | - Chiara L Whichello
- Evidera, London, UK
- Erasmus School of Health Policy and Management, Erasmus Universiteit Rotterdam, Rotterdam, The Netherlands
- Erasmus Choice Modelling Centre, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Jorien Veldwijk
- Healthcare Innovation and Evaluation, University Medical Center Utrecht, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands
- Erasmus School of Health Policy and Management, Erasmus Universiteit Rotterdam, Rotterdam, The Netherlands
- Erasmus Choice Modelling Centre, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | | | - C G M Groothuis-Oudshoorn
- Health Technology and Services Research (HTSR), Faculty of Behavioural Management and Social Sciences, University of Twente, Enschede, The Netherlands
| | - Rimke C Vos
- Public Health and Primary Care/LUMC Campus The Hague, Leiden University Medical Center, Leiden, The Netherlands
| | - Esther W de Bekker-Grob
- Erasmus School of Health Policy and Management, Erasmus Universiteit Rotterdam, Rotterdam, The Netherlands
- Erasmus Choice Modelling Centre, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - G Ardine de Wit
- Healthcare Innovation and Evaluation, University Medical Center Utrecht, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands
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15
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Tanenbaum ML, Commissariat PV. Barriers and Facilitators to Diabetes Device Adoption for People with Type 1 Diabetes. Curr Diab Rep 2022; 22:291-299. [PMID: 35522355 PMCID: PMC9189072 DOI: 10.1007/s11892-022-01469-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/14/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE OF REVIEW Diabetes technology (insulin pumps, continuous glucose monitoring, automated insulin delivery systems) has advanced significantly and provides benefits to the user. This article reviews the current barriers to diabetes device adoption and sustained use, and outlines the known and potential facilitators for increasing and sustaining device adoption. RECENT FINDINGS Barriers to diabetes device adoption continue to exist at the system-, provider-, and individual-level. Known facilitators to promote sustained adoption include consistent insurance coverage, support for providers and clinics, structured education and support for technology users, and device user access to support as needed (e.g., through online resources). Systemic barriers to diabetes device adoption persist while growing evidence demonstrates the increasing benefits of newest devices and systems. There are ongoing efforts to develop evidence-based structured education programs to support device adoption and sustained use.
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Affiliation(s)
- Molly L Tanenbaum
- Department of Pediatrics, Division of Endocrinology and Diabetes, Stanford University School of Medicine, Stanford, CA, USA.
| | - Persis V Commissariat
- Pediatric, Adolescent and Young Adult Section, Joslin Diabetes Center, Boston, MA, USA
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16
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Al Hayek AA, Sobki SH, Al-Saeed AH, Alzahrani WM, Al Dawish MA. Level of Agreement and Correlation Between the Estimated Hemoglobin A1c Results Derived by Continuous or Conventional Glucose Monitoring Systems Compared with the Point-of-Care or Laboratory-Based Measurements: An Observational Study. Diabetes Ther 2022; 13:953-967. [PMID: 35306640 PMCID: PMC9076797 DOI: 10.1007/s13300-022-01240-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 02/23/2022] [Indexed: 11/28/2022] Open
Abstract
INTRODUCTION Hemoglobin A1C (HbA1c) is an important marker for diabetes care management. With the increasing use of new technologies such as continuous glucose monitoring (CGM) and point-of-care testing (POCT), patients and their physicians have been able to monitor and continuously check their blood glucose levels in an efficient and timely manner. This study aimed to investigate the level of agreement between the standard laboratory test for HbA1c (Lab-HbA1c) with point-of-care testing (POCT-HbA1c) and glucose monitoring index (GMI) derived by intermittently scanned CGM (isCGM) or estimated average glucose (eAG) derived by conventional self-monitored blood glucose (SMBG) devices. METHODS A cross-sectional study was conducted at the Diabetes Treatment Center, Prince Sultan Military Medical City, Saudi Arabia, between May and December 2020 with 81 patients with diabetes who used the isCGM system (n = 30) or conventional finger-pricking SMBG system (n = 51). At the same visit, venous and capillary blood samples were taken for routine HbA1c analysis by the standard laboratory and POCT methods, respectively. Also, for isCGM users, the GMI data for 28 days (GMI-28) and 90 days (GMI-90) were obtained, while for SMBG users, eAG data for 30 days (eAG-30) and 90 days (eAG-90) were calculated. The limits of agreement in different HbA1c measurements were evaluated using a Bland-Altman analysis. Pearson correlation and multivariate linear regression analyses were also performed. RESULTS Based on the Bland-Altman analysis, HbA1c levels for 96.7% and 96.1% of the patients analyzed by the POCT and the standard laboratory methods were within the range of the 95% limit of agreement in both isCGM and conventional SMBG users, respectively. About 93.3% of the GMI measurements were within the 95% limit of agreement. Also, about 94.12% of the eAG-30 and 90.2% of the eAG-90 measurements were within the 95% limit of agreement. Moreover, the correlation analysis revealed a statistically significant positive correlation and linear regression among Lab-HbA1c, POCT-HbA1c, GMI, and eAG in both conventional SMBG and isCGM users (all p < 0.001). These positive results persisted significantly after adjusting for different factors (all p < 0.001). CONCLUSION GMI derived by isCGM or eAG derived by conventional SMBG systems, as well as the POCT-HbA1c measurements, showed a high level of agreement; therefore, we recommend them as potential methods for diabetes monitoring, especially when a rapid result is needed or with patients with uncontrolled diabetes or on intensive insulin therapy.
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Affiliation(s)
- Ayman A Al Hayek
- Department of Endocrinology and Diabetes, Diabetes Treatment Center, Prince Sultan Military Medical City, P.O. Box 7897, Riyadh, 11159, Saudi Arabia.
| | - Samia H Sobki
- Department of Central Military Laboratory and Blood Bank, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
| | - Abdulghani H Al-Saeed
- Department of Endocrinology and Diabetes, Diabetes Treatment Center, Prince Sultan Military Medical City, P.O. Box 7897, Riyadh, 11159, Saudi Arabia
| | - Wael M Alzahrani
- Department of Endocrinology and Diabetes, Diabetes Treatment Center, Prince Sultan Military Medical City, P.O. Box 7897, Riyadh, 11159, Saudi Arabia
| | - Mohamed A Al Dawish
- Department of Endocrinology and Diabetes, Diabetes Treatment Center, Prince Sultan Military Medical City, P.O. Box 7897, Riyadh, 11159, Saudi Arabia
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17
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Hohendorff J, Witek P, Kania M, Sudol M, Hajduk K, Stepien A, Cyganek K, Kiec-Wilk B, Klupa T, Malecki MT. Higher scanning frequency is correlated with less fear of hypoglycemia in type 1 diabetes patients using isCGM. Front Endocrinol (Lausanne) 2022; 13:996933. [PMID: 36277730 PMCID: PMC9582341 DOI: 10.3389/fendo.2022.996933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 09/15/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Frequent scanning of intermittently scanned continuous glucose monitoring (isCGM) devices is associated with improvements in glycemic indices. Limited data is available for its correlation with fear of hypoglycemia (FOH), an established factor affecting quality of life and glycemic control in type 1 diabetes (T1DM). AIM The aim of the study was to analyze the association of sensor scanning frequency with FOH and glycemic indices in T1DM patients using isCGM. SUBJECTS AND METHODS T1DM patients using isCGM were eligible. Clinical data and Ambulatory Glucose Profile (AGP) reports were obtained from medical records. At outpatient visits, AGP of last 14 days prior to visit were analyzed and FOH was assessed using Hypoglycemia Fear Survey II (HFS II). RESULTS We included 77 consecutive T1DM patients (58 females, 19 males). Mean age was 34.1 ± 10.2 years and mean T1DM duration was 14.7 ± 12.0 years. Baseline mean glycemic indices were as follows: mean glucose - 155.8 ± 29.8 mg/dL; GMI - 53.3 ± 7.5 mmol/mol; TIR - 66.4 ± 17.8%; TBR70 - 4.5 ± 4.1%; TBR54 - 0.6 ± 1.2%; TAR180 - 29.2 ± 17.9%; TAR250 - 9.6 ± 10.4%; %CV - 36.7 ± 8.3. Average scanning frequency was 13.8 ± 7.8 scans/day. Mean HFS II scores were 16.1 ± 7.2 and 18.7 ± 12.2 in behavior and worry subscale, respectively. Correlation was confirmed between scanning frequency and mean glucose, GMI, TIR, TBR70, TAR180, TAR250, %CV and HFS II total, and HFS II - B (p<0.05 for all statistics). CONCLUSIONS For the first time, we report that higher scanning frequency is associated not only with better glycemic indices but also with less FOH in T1DM adult patients using isCGM.
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Affiliation(s)
- Jerzy Hohendorff
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
- Department of Metabolic Diseases and Diabetology, University Hospital in Krakow, Krakow, Poland
| | - Przemyslaw Witek
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
- Department of Metabolic Diseases and Diabetology, University Hospital in Krakow, Krakow, Poland
| | - Michal Kania
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
- Department of Metabolic Diseases and Diabetology, University Hospital in Krakow, Krakow, Poland
| | - Maria Sudol
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
| | - Katarzyna Hajduk
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
| | - Adam Stepien
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
| | - Katarzyna Cyganek
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
- Department of Metabolic Diseases and Diabetology, University Hospital in Krakow, Krakow, Poland
| | - Beata Kiec-Wilk
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
- Department of Metabolic Diseases and Diabetology, University Hospital in Krakow, Krakow, Poland
- Unit of Rare Metabolic Diseases, Department of Metabolic Diseases and Diabetology, University Hospital in Krakow, Krakow, Poland
| | - Tomasz Klupa
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
- Department of Metabolic Diseases and Diabetology, University Hospital in Krakow, Krakow, Poland
| | - Maciej T. Malecki
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
- Department of Metabolic Diseases and Diabetology, University Hospital in Krakow, Krakow, Poland
- *Correspondence: Maciej T. Malecki,
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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