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Klonoff DC, Gabbay M, Moon SJ, Wilmot EG. Importance of FDA-Integrated Continuous Glucose Monitors to Ensure Accuracy of Continuous Glucose Monitoring. J Diabetes Sci Technol 2024:19322968241250357. [PMID: 38695387 DOI: 10.1177/19322968241250357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/04/2024]
Abstract
Continuous glucose monitoring (CGM) has been shown to improve glycemic control and self-monitoring, as well as to reduce the risk of hypoglycemia. Integrated CGM (iCGM) FDA-cleared systems with published performance data are established nonadjunctive and accurate CGM tools that can directly inform decision-making in the treatment of diabetes (i.e., insulin dosing). Studies have assessed accuracy and safety data of CGMs that were eventually cleared for iCGM by the FDA and that informed the recommendation for their nonadjunctive use. Subsequent robust clinical trials and real-world studies demonstrated clinical effectiveness with improvements in a range of patient outcomes. In recent years, a number of non-iCGM-approved CGM devices have entered the market outside the United States worldwide. Some of these non-iCGM-approved CGM devices require additional user verification of blood glucose levels to be performed for making treatment decisions, termed adjunctive. Moreover, in many non-iCGM-approved CGM devices, accuracy studies published in peer-reviewed journals are scarce or have many limitations. Consequently, non-iCGM-approved CGM devices cannot be automatically perceived as having the same performance or quality standards than those approved for iCGM by the FDA. As a result, although these devices tend to cost less than iCGMs that carry FDA clearance and could therefore be attractive from the point of view of a health care payer, it must be emphasized that evaluation of costs should not be limited to the device (such as the usability preference that patients have for nonadjunctive sensors compared to adjunctive sensors) but to the wider value of the total benefit that the product provides to the patient.
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Affiliation(s)
- David C Klonoff
- Diabetes Research Institute, Mills-Península Medical Center, San Mateo, CA, USA
| | - Monica Gabbay
- UNIFESP-Federal University of Sao Paulo, Sao Paulo, Brazil
| | - Sun Joon Moon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, School of Medicine, Sungkyunkwan University, Seoul, Republic of Korea
| | - Emma G Wilmot
- School of Medicine Academic Unit for Translational Medical Sciences, University of Notitngham, Derby, UK
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2
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Gutiérrez-Pastor A, Quesada JA, Soler-Martínez MM, Carratalá Munuera C, Pomares-Gómez FJ. Effect of switch from flash glucose monitoring to flash glucose monitoring with real-time alarms on hypoglycaemia in people with type 1 diabetes mellitus. Prim Care Diabetes 2024:S1751-9918(24)00075-5. [PMID: 38677966 DOI: 10.1016/j.pcd.2024.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 04/10/2024] [Accepted: 04/10/2024] [Indexed: 04/29/2024]
Abstract
We aimed to evaluate the utility of the FreeStyle Libre 2 device for reducing time below range level 1 and level 2 compared with the Freestyle Libre device (without alarms) in people with type 1 diabetes mellitus. We conducted longitudinal observational follow-up study of a cohort of 100 people with type 1 diabetes mellitus who had switched from FreeStyle Libre to FreeStyle Libre 2 as part of routine clinical practice. Three months after switching to FreeStyle Libre 2, compared with results with FreeStyle Libre, there were a significant improvements in time below range level 1 (p = 0.02) and level 2 (p <0.001), time in range (p <0.001), time above range level 1 (p = 0.002), glucose management indicator (p= 0.04) and mean glucose (p= 0.04) during follow-up. Furthermore there was a significant direct association between age and change in TIR with a coefficient of 0.23, and a significant inverse association between age and change in TAR-1 with a coefficient of 0.11. Switching to a flash glucose monitoring system with alarms improves time below range, time in range and coefficient of variation in people with type 1 diabetes mellitus.
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Affiliation(s)
- A Gutiérrez-Pastor
- Department of Health of San Juan de Alicante, Provincial-Pla Hospital, Spain
| | - J A Quesada
- Department of Clinical Medicine, Miguel Hernández University, Elche, Spain; Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Spain
| | - M M Soler-Martínez
- Department of Health of San Juan de Alicante, Endocrinology and Nutrition, Spain
| | - C Carratalá Munuera
- Department of Clinical Medicine, Miguel Hernández University, Elche, Spain; Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Spain.
| | - F J Pomares-Gómez
- Department of Health of San Juan de Alicante, Endocrinology and Nutrition, Spain
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Reyes R, Moreno-Perez O, Tejera-Perez C, Brito-Sanfiel M, Pines P, Aguilera E, Gargallo M, Rozas-Moreno P, Martin JES. Glucometrics knowledge and its relationship to glycemic control in people living with type 1 diabetes: The GluKometrics study. Diabetes Metab 2024; 50:101496. [PMID: 37981195 DOI: 10.1016/j.diabet.2023.101496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/26/2023] [Accepted: 11/07/2023] [Indexed: 11/21/2023]
Affiliation(s)
- Rebeca Reyes
- Endocrinology Unit, Torrecardenas University Hospital, Almeria, Spain; CIBER de Fragilidad y Envejecimiento Saludable "CIBERFES", Instituto de Salud Carlos III, Spain.
| | - Oscar Moreno-Perez
- Endocrinology and Nutrition Department, Hospital General Universitario Doctor Balmis de Alicante - ISABIAL, Miguel Hernández University, Alicante, Spain
| | - Cristina Tejera-Perez
- Department of Endocrinology and Nutrition, Complejo Hospitalario Universitario de Ferrol (CHUF/SERGAS), A Coruña, Spain; Epigenomics in Endocrinology and Nutrition Group, Epigenomics Unit, Instituto de Investigacion Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago de Compostela (CHUS/SERGAS), Santiago de Compostela, Spain
| | - Miguel Brito-Sanfiel
- Endocrinology and Nutrition Service, Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain
| | - Pedro Pines
- Endocrinology and Nutrition, Complejo Hospitalario Universitario de Albacete, Albacete. Spain
| | - Eva Aguilera
- Department of Endocrinolgy and Nutrition, Hospital Universitari Germans Trias i Pujol, Badalona, Barcelona, Spain
| | - Manuel Gargallo
- Endocrinology and Nutrition Department, Hospital Infanta Leonor, Fundación Jimenez Díaz, Madrid, Spain
| | - Pedro Rozas-Moreno
- Endocrinology and Nutrition Department, Hospital Universitario de Ciudad Real, Ciudad Real, Spain
| | - Javier Escalada San Martin
- Endocrinology and Nutrition Department, Clínica Universidad de Navarra, Universidad de Navarra, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
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4
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Park SH, Lee H. Comparing the effects of home visits and telenursing on blood glucose control: A systematic review of randomized controlled trials. Int J Nurs Stud 2023; 148:104607. [PMID: 37839308 DOI: 10.1016/j.ijnurstu.2023.104607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 08/26/2023] [Accepted: 09/11/2023] [Indexed: 10/17/2023]
Abstract
BACKGROUND Home visits have often been performed for diabetes management, but with the increased use of the internet and smartphones, people are opting for telenursing as the main method for monitoring and controlling diabetes. OBJECTIVE This study compares the effects of home visits and telenursing on diabetes management. METHODS Four electronic databases (MEDLINE, Embase, Cochrane Library, and Cumulative Index to Nursing and Allied Health Literature) were used as data sources. Glycated hemoglobin (HbA1c), fasting blood sugar, and two-hour post-prandial glucose levels were used as outcome measures. A subgroup analysis was performed based on the type of diabetes and follow-up. RESULTS Of 1890 studies, 24 (2801 participants) were selected and meta-analyzed. The nursing interventions provided during nursing visits or telenursing mainly included education on diabetes and blood sugar control. It was seen that HbA1c decreased with a weighted mean difference of -0.66 (95 % confidence interval -0.82 to -0.51, p < .001) % in home visits and -0.56 (95 % confidence interval -0.81 to -0.31, p < .001) % in telenursing. The fasting blood sugar reported only in telenursing was reduced by a weighted mean difference of -14.23 (95 % confidence interval 27.59 to -0.88, p = .04) mg/dL and two-hour post-prandial glucose was reduced with a mean difference of -15.84 (95 % confidence interval -24.45 to -7.24, p = .003) mg/dL. Furthermore, low heterogeneity was found among the studies. In a subgroup analysis of diabetes type, HbA1c in home visits was reduced by -0.86 % in type 1 diabetes and -0.62 % in type 2 diabetes, while in telenursing, the reductions were -0.65 % and -0.53 %, respectively. Fasting blood glucose was reduced by -6.08 mg/dL and -18.50 mg/dL, respectively, whereas two-hour postprandial blood sugar was reduced by -14.49 mg/dL and -30.30 mg/dL, respectively, in telenursing. In the subgroup analysis of the follow-up period, HbA1c during home visits decreased by -0.63 % at 10 to 16 weeks, -0.73 % at 24 to 36 weeks, and -0.64 % at 52 weeks or more, while in telenursing, the reductions were -0.80 %, -0.44 %, and -0.07 %, respectively. Home visits were not statistically significant between 10 and 16 weeks, whereas telenursing was not significant at 52 weeks or more. CONCLUSIONS Despite telenursing reducing HbA1c slightly less than home visits, evidence from this systematic review suggests that telenursing is a similarly effective approach for controlling blood glucose levels in patients with diabetes. Telenursing is a nursing intervention that can be used as an alternative to home visits for patients requiring diabetes management.
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Affiliation(s)
- Seong-Hi Park
- School of Nursing, Soonchunhyang University, Asan, Republic of Korea
| | - Heashoon Lee
- Department of Nursing, Hannam University, Daejeon, Republic of Korea.
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Sly B, Taylor J. Blood glucose monitoring devices: current considerations. Aust Prescr 2023; 46:54-59. [PMID: 38053807 PMCID: PMC10665089 DOI: 10.18773/austprescr.2023.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2023] Open
Abstract
Measuring blood glucose concentrations via capillary (fingerprick) blood glucose monitoring or continuous (interstitial) glucose monitoring is an important aspect of management for many people with diabetes. Blood glucose monitoring informs patient self-management strategies, which can improve the patient's engagement in their own care and reduce barriers to achieving recommended blood glucose targets. Blood glucose monitoring also informs clinician-guided management plans. Compared to capillary blood glucose monitoring, continuous glucose monitoring in people using insulin significantly improves glycaemic metrics and is associated with improved patient-reported outcomes. Even with good glycaemic metrics, patients using continuous glucose monitoring should still have access to capillary blood glucose monitoring for correlation of hypoglycaemic readings when accuracy may be compromised or if there is a malfunction with the continuous blood glucose monitor.
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Holt E, Nguyen H, Bispham J, Liu J, Chapman K, Grady M. Perceptions of Continuous Glucose Monitoring Systems in the T1D Exchange Diabetes Registry: Satisfaction, Concerns, and Areas for Future Improvement. Clin Diabetes 2023; 42:104-115. [PMID: 38230340 PMCID: PMC10788666 DOI: 10.2337/cd23-0005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
Manufacturers continue to improve performance and usability of continuous glucose monitoring (CGM) systems. As CGM becomes a standard of care, especially for people on insulin therapy, it is important to routinely gauge how satisfied people with diabetes are with this technology. This article describes survey feedback from a large cohort of people with diabetes using older and current CGM systems and highlights areas of current satisfaction, concern, and future system improvement.
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Bertoluci MC, Silva Júnior WS, Valente F, Araujo LR, Lyra R, de Castro JJ, Raposo JF, Miranda PAC, Boguszewski CL, Hohl A, Duarte R, Salles JEN, Silva-Nunes J, Dores J, Melo M, de Sá JR, Neves JS, Moreira RO, Malachias MVB, Lamounier RN, Malerbi DA, Calliari LE, Cardoso LM, Carvalho MR, Ferreira HJ, Nortadas R, Trujilho FR, Leitão CB, Simões JAR, Dos Reis MIN, Melo P, Marcelino M, Carvalho D. 2023 UPDATE: Luso-Brazilian evidence-based guideline for the management of antidiabetic therapy in type 2 diabetes. Diabetol Metab Syndr 2023; 15:160. [PMID: 37468901 PMCID: PMC10354939 DOI: 10.1186/s13098-023-01121-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 06/23/2023] [Indexed: 07/21/2023] Open
Abstract
BACKGROUND The management of antidiabetic therapy in people with type 2 diabetes (T2D) has evolved beyond glycemic control. In this context, Brazil and Portugal defined a joint panel of four leading diabetes societies to update the guideline published in 2020. METHODS The panelists searched MEDLINE (via PubMed) for the best evidence from clinical studies on treating T2D and its cardiorenal complications. The panel searched for evidence on antidiabetic therapy in people with T2D without cardiorenal disease and in patients with T2D and atherosclerotic cardiovascular disease (ASCVD), heart failure (HF), or diabetic kidney disease (DKD). The degree of recommendation and the level of evidence were determined using predefined criteria. RESULTS AND CONCLUSIONS All people with T2D need to have their cardiovascular (CV) risk status stratified and HbA1c, BMI, and eGFR assessed before defining therapy. An HbA1c target of less than 7% is adequate for most adults, and a more flexible target (up to 8%) should be considered in frail older people. Non-pharmacological approaches are recommended during all phases of treatment. In treatment naïve T2D individuals without cardiorenal complications, metformin is the agent of choice when HbA1c is 7.5% or below. When HbA1c is above 7.5% to 9%, starting with dual therapy is recommended, and triple therapy may be considered. When HbA1c is above 9%, starting with dual therapyt is recommended, and triple therapy should be considered. Antidiabetic drugs with proven CV benefit (AD1) are recommended to reduce CV events if the patient is at high or very high CV risk, and antidiabetic agents with proven efficacy in weight reduction should be considered when obesity is present. If HbA1c remains above target, intensification is recommended with triple, quadruple therapy, or even insulin-based therapy. In people with T2D and established ASCVD, AD1 agents (SGLT2 inhibitors or GLP-1 RA with proven CV benefit) are initially recommended to reduce CV outcomes, and metformin or a second AD1 may be necessary to improve glycemic control if HbA1c is above the target. In T2D with HF, SGLT2 inhibitors are recommended to reduce HF hospitalizations and mortality and to improve HbA1c. In patients with DKD, SGLT2 inhibitors in combination with metformin are recommended when eGFR is above 30 mL/min/1.73 m2. SGLT2 inhibitors can be continued until end-stage kidney disease.
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Affiliation(s)
- Marcello Casaccia Bertoluci
- Faculdade de Medicina da Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
- Serviço de Endocrinologia do Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna da Universidade Federal do Rio Grande do Sul (UFRGS), Rua Ramiro Barcelos, 2350, 4º Andar, Porto Alegre, RS, 90035-007, Brazil.
- Sociedade Brasileira de Diabetes (SBD), São Paulo, Brazil.
| | - Wellington S Silva Júnior
- Disciplina de Endocrinologia, Departamento de Medicina I, Universidade Federal Maranhão, São Luís, Brazil
- Sociedade Brasileira de Endocrinologia e Metabologia (SBEM), Rio de Janeiro, Brazil
| | - Fernando Valente
- Faculdade de Medicina do ABC, Santo André, Brazil
- Sociedade Brasileira de Diabetes (SBD), São Paulo, Brazil
| | - Levimar Rocha Araujo
- Faculdade de Ciências Médicas de Minas Gerais, Belo Horizonte, Brazil
- Sociedade Brasileira de Diabetes (SBD), São Paulo, Brazil
| | - Ruy Lyra
- Universidade Federal de Pernambuco, Recife, Brazil
- Sociedade Brasileira de Diabetes (SBD), São Paulo, Brazil
| | - João Jácome de Castro
- Serviço de Endocrinologia do Hospital Universitário das Forças Armadas, Lisbon, Portugal
- Sociedade Portuguesa de Endocrinologia, Diabetes e Metabolismo (SPEDM), Lisbon, Portugal
| | - João Filipe Raposo
- NOVA Medical School, Universidade Nova de Lisboa, Lisbon, Portugal
- Sociedade Portuguesa de Diabetologia (SPD), Lisbon, Portugal
| | - Paulo Augusto Carvalho Miranda
- Clínica de Endocrinologia e Metabologia da Santa Casa Belo Horizonte, Belo Horizonte, Brazil
- Sociedade Brasileira de Endocrinologia e Metabologia (SBEM), Rio de Janeiro, Brazil
| | - Cesar Luiz Boguszewski
- Divisão de Endocrinologia (SEMPR), Departamento de Clínica Médica, Universidade Federal do Paraná, Curitiba, Brazil
- Sociedade Brasileira de Endocrinologia e Metabologia (SBEM), Rio de Janeiro, Brazil
| | - Alexandre Hohl
- Departamento de Clínica Médica da Universidade Federal de Santa Catarina, Florianópolis, Brazil
- Sociedade Brasileira de Endocrinologia e Metabologia (SBEM), Rio de Janeiro, Brazil
| | - Rui Duarte
- Associação Protectora dos Diabéticos de Portugal, Lisbon, Portugal
- Sociedade Portuguesa de Diabetologia (SPD), Lisbon, Portugal
| | - João Eduardo Nunes Salles
- Faculdade de Ciências Médicas da Santa Casa de São Paulo, São Paulo, Brazil
- Sociedade Brasileira de Diabetes (SBD), São Paulo, Brazil
| | - José Silva-Nunes
- NOVA Medical School, Universidade Nova de Lisboa, Lisbon, Portugal
- Sociedade Portuguesa de Diabetologia (SPD), Lisbon, Portugal
| | - Jorge Dores
- Centro Hospitalar e Universitário de Santo António, Lisbon, Portugal
- Instituto de Ciências Biomédicas Abel Salazar da Universidade do Porto, Porto, Portugal
- Sociedade Portuguesa de Endocrinologia, Diabetes e Metabolismo (SPEDM), Lisbon, Portugal
| | - Miguel Melo
- Serviço de Endocrinologia, Diabetes e Metabolismo, Centro Hospitalar e Universitário de Coimbra, Faculdade de Medicina da Universidade de Coimbra, Coimbra, Portugal
- Sociedade Portuguesa de Diabetologia (SPD), Lisbon, Portugal
| | - João Roberto de Sá
- Faculdade de Medicina do ABC, Santo André, Brazil
- Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
- Sociedade Brasileira de Diabetes (SBD), São Paulo, Brazil
| | - João Sérgio Neves
- Cardiovascular R&D Centre (UnIC@RISE), Faculdade de Medicina da Universidade do Porto, Porto, Portugal
- Serviço de Endocrinologia, Diabetes e Metabolismo, Centro Hospitalar Universitário de São João, Porto, Portugal
- Sociedade Portuguesa de Endocrinologia, Diabetes e Metabolismo (SPEDM), Lisbon, Portugal
| | - Rodrigo Oliveira Moreira
- Instituto Estadual de Diabetes e Endocrinologia Luiz Capriglione (IEDE), Rio de Janeiro, Brazil
- Faculdade de Medicina, Centro Universitário Presidente Antônio Carlos (UNIPAC/JF), Juiz de Fora, Brazil
- Faculdade de Medicina, Centro Universitário de Valença (UNIFAA), Valença, Brazil
- Sociedade Brasileira de Endocrinologia e Metabologia (SBEM), Rio de Janeiro, Brazil
| | | | - Rodrigo Nunes Lamounier
- Departamento de Clínica Médica da Faculdade de Medicina da Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
- Sociedade Brasileira de Diabetes (SBD), São Paulo, Brazil
| | - Domingos Augusto Malerbi
- Hospital Israelita Albert Einstein, São Paulo, Brazil
- Sociedade Brasileira de Endocrinologia e Metabologia (SBEM), Rio de Janeiro, Brazil
| | - Luis Eduardo Calliari
- Faculdade de Ciências Médicas da Santa Casa de São Paulo, São Paulo, Brazil
- Sociedade Brasileira de Diabetes (SBD), São Paulo, Brazil
| | - Luis Miguel Cardoso
- i3S, Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
- Serviço de Endocrinologia, Diabetes e Metabolismo, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
- Sociedade Portuguesa de Endocrinologia, Diabetes e Metabolismo (SPEDM), Lisbon, Portugal
| | - Maria Raquel Carvalho
- Hospital CUF, Tejo, Portugal
- Sociedade Portuguesa de Endocrinologia, Diabetes e Metabolismo (SPEDM), Lisbon, Portugal
| | - Hélder José Ferreira
- Clínica Grupo Sanfil Medicina, Coimbra, Portugal
- Sociedade Portuguesa de Diabetologia (SPD), Lisbon, Portugal
| | - Rita Nortadas
- Associação Protectora dos Diabéticos de Portugal, Lisbon, Portugal
- Sociedade Portuguesa de Diabetologia (SPD), Lisbon, Portugal
| | - Fábio Rogério Trujilho
- Faculdade de Medicina da UniFTC, Salvador, Brazil
- Centro de Diabetes e Endocrinologia da Bahia (CEDEBA), Salvador, Brazil
- Sociedade Brasileira de Endocrinologia e Metabologia (SBEM), Rio de Janeiro, Brazil
| | - Cristiane Bauermann Leitão
- Faculdade de Medicina da Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Serviço de Endocrinologia do Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna da Universidade Federal do Rio Grande do Sul (UFRGS), Rua Ramiro Barcelos, 2350, 4º Andar, Porto Alegre, RS, 90035-007, Brazil
- Sociedade Brasileira de Endocrinologia e Metabologia (SBEM), Rio de Janeiro, Brazil
| | - José Augusto Rodrigues Simões
- Faculdade de Ciências da Saúde da Universidade da Beira Interior, Covilhã, Portugal
- Sociedade Portuguesa de Diabetologia (SPD), Lisbon, Portugal
| | - Mónica Isabel Natal Dos Reis
- Unidade Integrada de Diabetes Mellitus do Hospital de Vila Franca de Xira, Vila Franca de Xira, Portugal
- Sociedade Portuguesa de Diabetologia (SPD), Lisbon, Portugal
| | - Pedro Melo
- Serviço de Endocrinologia, Hospital Pedro Hispano, Matosinhos, Portugal
- Unidade de Endocrinologia, Instituto CUF, Porto, Portugal
- Sociedade Portuguesa de Endocrinologia, Diabetes e Metabolismo (SPEDM), Lisbon, Portugal
| | - Mafalda Marcelino
- Serviço de Endocrinologia do Hospital Universitário das Forças Armadas, Lisbon, Portugal
- Sociedade Portuguesa de Endocrinologia, Diabetes e Metabolismo (SPEDM), Lisbon, Portugal
| | - Davide Carvalho
- Faculdade de Medicina da Universidade do Porto, Porto, Portugal
- Sociedade Portuguesa de Endocrinologia, Diabetes e Metabolismo (SPEDM), Lisbon, Portugal
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Palacios A, Rodriguez-Cairoli F, Balan D, Rojas-Roque C, Moreno-López C, Braun B, Augustovski F, Pichon-Riviere A, Bardach A. Budget Impact Analysis of the FreeStyle Libre Flash Continuous Glucose Monitoring System ® in Patients with Type 1 Diabetes Mellitus and Type 2 Diabetes Mellitus with Multiple Daily Insulin Injections in Argentina. Appl Health Econ Health Policy 2023; 21:637-650. [PMID: 37062046 DOI: 10.1007/s40258-023-00800-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/23/2023] [Indexed: 06/01/2023]
Abstract
OBJECTIVE To estimate the budget impact of the potential coverage of FreeStyle Libre Flash Continuous Glucose Monitoring System (FSL) for glycemia monitoring in all type 1 diabetes mellitus (T1DM) patients and in those with type 2 diabetes mellitus (T2DM) with multiple daily insulin injections, from the social security and the private third-party payer's perspective in Argentina. METHODS A budget impact model was developed to estimate the cost difference between the self-monitoring of blood glucose (standard of care) and FSL over 5 years. Input parameters were retrieved from local literature complemented by expert opinion. Health care costs were estimated by a micro-costing approach and reported in USD as of April 2022 (1 USD = 113.34 Argentine pesos). One-way sensitivity and scenario analyses were conducted. RESULTS From a social security third-party payer perspective, the incorporation of FSL was associated with net savings per member per month (PMPM) of $0.026 (Year 1) to $0.097 (Year 5) and net savings PMPM of $0.002 (Year 1) to $0.008 (Year 5) for T1DM and T2DM patients, respectively. Similar findings are reported from the private third-party payer perspective. The budget impact results were more sensitive to the acquisition costs of the FSL and test strips. CONCLUSION The potential coverage of FSL in patients with T1DM and T2DM with multiple daily insulin injections could be associated with small financial savings considering current technology acquisition costs (FSL and test strips) for social security and the private sector third-party payers in Argentina.
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Affiliation(s)
- Alfredo Palacios
- Department of Health Technology Assessment and Health Economics, Institute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina.
- Department of Economics, Universidad de Buenos Aires, Buenos Aires, Argentina.
- Centre for Health Economics (CHE), University of York, York, UK.
| | - Federico Rodriguez-Cairoli
- Department of Health Technology Assessment and Health Economics, Institute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina
| | - Dario Balan
- Department of Health Technology Assessment and Health Economics, Institute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina
| | - Carlos Rojas-Roque
- Department of Health Technology Assessment and Health Economics, Institute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina
| | - Carolina Moreno-López
- Department of Health Technology Assessment and Health Economics, Institute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina
| | - Barbara Braun
- Departamento de Clínica Médica y Diabetología, Sanatorio de la Trinidad Palermo, Buenos Aires, Argentina
| | - Federico Augustovski
- Department of Health Technology Assessment and Health Economics, Institute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina
| | - Andrés Pichon-Riviere
- Department of Health Technology Assessment and Health Economics, Institute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina
| | - Ariel Bardach
- Department of Health Technology Assessment and Health Economics, Institute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina
- Center for Research in Epidemiology and Public Health (CIESP), Buenos Aires, Argentina
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Klupa T, Czupryniak L, Dzida G, Fichna P, Jarosz-Chobot P, Gumprecht J, Mysliwiec M, Szadkowska A, Bomba-Opon D, Czajkowski K, Malecki MT, Zozulinska-Ziolkiewicz DA. Expanding the Role of Continuous Glucose Monitoring in Modern Diabetes Care Beyond Type 1 Disease. Diabetes Ther 2023:10.1007/s13300-023-01431-3. [PMID: 37322319 PMCID: PMC10299981 DOI: 10.1007/s13300-023-01431-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 05/31/2023] [Indexed: 06/17/2023] Open
Abstract
Application of continuous glucose monitoring (CGM) has moved diabetes care from a reactive to a proactive process, in which a person with diabetes can prevent episodes of hypoglycemia or hyperglycemia, rather than taking action only once low and high glucose are detected. Consequently, CGM devices are now seen as the standard of care for people with type 1 diabetes mellitus (T1DM). Evidence now supports the use of CGM in people with type 2 diabetes mellitus (T2DM) on any treatment regimen, not just for those on insulin therapy. Expanding the application of CGM to include all people with T1DM or T2DM can support effective intensification of therapies to reduce glucose exposure and lower the risk of complications and hospital admissions, which are associated with high healthcare costs. All of this can be achieved while minimizing the risk of hypoglycemia and improving quality of life for people with diabetes. Wider application of CGM can also bring considerable benefits for women with diabetes during pregnancy and their children, as well as providing support for acute care of hospital inpatients who experience the adverse effects of hyperglycemia following admission and surgical procedures, as a consequence of treatment-related insulin resistance or reduced insulin secretion. By tailoring the application of CGM for daily or intermittent use, depending on the patient profile and their needs, one can ensure the cost-effectiveness of CGM in each setting. In this article we discuss the evidence-based benefits of expanding the use of CGM technology to include all people with diabetes, along with a diverse population of people with non-diabetic glycemic dysregulation.
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Affiliation(s)
- Tomasz Klupa
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland.
| | - Leszek Czupryniak
- Department of Diabetology and Internal Medicine, Medical University of Warsaw, Warsaw, Poland
| | - Grzegorz Dzida
- Department of Internal Diseases, Medical University of Lublin, Lublin, Poland
| | - Piotr Fichna
- Department of Pediatric Diabetes and Obesity, Poznan University of Medical Sciences, Poznan, Poland
| | | | - Janusz Gumprecht
- Department of Internal Medicine, Diabetology and Nephrology, Medical University of Silesia, Katowice, Poland
| | - Malgorzata Mysliwiec
- Department of Pediatrics, Diabetology and Endocrinology, Medical University of Gdansk, Gdansk, Poland
| | - Agnieszka Szadkowska
- Department of Pediatrics, Diabetology, Endocrinology and Nephrology, Medical University of Lodz, Lodz, Poland
| | - Dorota Bomba-Opon
- 1st Department of Obstetrics and Gynecology, Medical University of Warsaw, Warsaw, Poland
| | - Krzysztof Czajkowski
- 2nd Department of Obstetrics and Gynecology, Medical University of Warsaw, Warsaw, Poland
| | - Maciej T Malecki
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
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Bloomgarden Z. How can we reach the target of glucose control in type 1 diabetes? J Diabetes 2023; 15:462-464. [PMID: 37211953 PMCID: PMC10270742 DOI: 10.1111/1753-0407.13413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/08/2023] [Indexed: 05/23/2023] Open
Affiliation(s)
- Zachary Bloomgarden
- Department of Medicine, Division of Endocrinology, Diabetes and Bone Disease, Icahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
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Levrat-Guillen F, De Cock P. Letter to the Editor Regarding Cost-Effectiveness of Hybrid Closed-Loop Systems Versus Multiple Daily Injections Plus Intermittently-Scanned Continuous Glucose Monitoring in Type 1 Diabetes in the Netherlands. Adv Ther 2023; 40:2542-2544. [PMID: 36892808 DOI: 10.1007/s12325-023-02427-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 01/06/2023] [Indexed: 03/10/2023]
Affiliation(s)
- Fleur Levrat-Guillen
- Abbott Laboratories Ltd, Abbott House, Vanwall Business Park, Maidenhead, Berkshire, SL6 4XE, UK.
| | - Patricia De Cock
- Abbott Laboratories Ltd, Abbott Offices, Av. Einstein 14, 1300, Wavre, Belgium
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12
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Palacios A, Rodriguez Cairoli F, Balan D, Balmaceda C, Augustovski F, Pichon-Riviere A, Bardach A. Budget impact analysis of the freestyle libre flash continuous glucose monitoring system® in patients with diabetes mellitus type 1 in Chile. Expert Rev Pharmacoecon Outcomes Res 2023; 23:353-363. [PMID: 36701814 DOI: 10.1080/14737167.2023.2171989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
OBJECTIVE To estimate the budget impact of covering the FreeStyle Libre Flash Continuous Glucose Monitoring System (FSL) for type 1 Diabetes Mellitus patients (T1DM), compared to self-monitoring of blood glucose (SMBG), from the perspective of public and private third-party payers in Chile. METHODS A budget impact model was developed to estimate the cost difference between SMBG and FSL over five years. Two FSL coverage schemes were assessed. Input parameters were retrieved from the literature review and complemented by expert opinion. Healthcare costs were estimated by a micro-costing approach and reported in USD. RESULTS For a public sector third-party payer, incorporating FSL implied a cost increase up to USD 0.013 per member per month (PMPM) for the fifth year under the broad coverage scheme and a net saving of 0.0001 PMPM (all years) under the restricted coverage scheme. From a private sector third-party payer, incorporating FSL implied savings up to USD 0.028 PMPM (fifth year) for the broad coverage scheme and up to USD 0.012 PMPM (fifth year) for the restricted scheme. CONCLUSION Incorporating the FSL for T1DM patients was associated with a marginal incremental cost for the public sector third-party payer and cost savings in Chile's private healthcare sector.
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Affiliation(s)
- Alfredo Palacios
- Department of Health Technology Assessment and Health Economics, Institute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina.,Centre for Health Economics, University of York, York, UK.,Department of Economics, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Federico Rodriguez Cairoli
- Department of Health Technology Assessment and Health Economics, Institute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina
| | - Dario Balan
- Department of Health Technology Assessment and Health Economics, Institute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina
| | - Carlos Balmaceda
- Centre for Health Economics, University of York, York, UK.,Unidad de Evaluación de Tecnologías Sanitarias, Centro de Investigación Clínica, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Federico Augustovski
- Department of Health Technology Assessment and Health Economics, Institute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina
| | - Andres Pichon-Riviere
- Department of Health Technology Assessment and Health Economics, Institute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina
| | - Ariel Bardach
- Department of Health Technology Assessment and Health Economics, Institute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina
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13
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Dovc K, Bode BW, Battelino T. Continuous and Intermittent Glucose Monitoring in 2022. Diabetes Technol Ther 2023; 25:S15-S29. [PMID: 36802188 DOI: 10.1089/dia.2023.2502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Affiliation(s)
- Klemen Dovc
- University Medical Center University Children's Hospital Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Bruce W Bode
- Atlanta Diabetes Associates and Emory University School of Medicine, Atlanta, GA, USA
| | - Tadej Battelino
- University Medical Center University Children's Hospital Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
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14
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Doupis J, Horton ES. Utilizing the New Glucometrics: A Practical Guide to Ambulatory Glucose Profile Interpretation. Endocrinology 2022; 18:20-26. [PMID: 35949362 PMCID: PMC9354515 DOI: 10.17925/ee.2022.18.1.20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 05/03/2022] [Indexed: 11/24/2022]
Abstract
Traditional continuous glucose monitoring and flash glucose monitoring systems are proven to lower glycated haemoglobin levels, decrease the time and impact of hypoglycaemia or hyperglycaemia and, consequently, improve the quality of life for children and adults with type 1 diabetes mellitus (T1DM) and adults with type 2 diabetes mellitus (T2DM). These glucose-sensing devices can generate large amounts of glucose data that can be used to define a detailed glycaemic profile for each user, which can be compared with targets for glucose control set by an International Consensus Panel of diabetes experts. Targets have been agreed upon for adults, children and adolescents with T1DM and adults with T2DM; separate targets have been agreed upon for older adults with diabetes, who are at higher risk of hypoglycaemia, and women with pregestational T1DM during pregnancy. Along with the objective measures and targets identified by the International Consensus Panel, the dense glucose data delivered by traditional continuous glucose monitoring and flash glucose monitoring systems is used to generate an ambulatory glucose profile, which summarizes the data in a visually impactful format that can be used to identify patterns and trends in daily glucose control, including those that raise clinical concerns. In this article, we provide a practical guide on how to interpret these new glucometrics using a straightforward algorithm, and clear visual examples that demystify the process of reviewing the glycaemic health of people with T1DM or T2DM such that forward-looking goals for diabetes management can be agreed.
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Affiliation(s)
- John Doupis
- Department of Internal Medicine and Diabetes, Salamis Naval and Veterans Hospital, Salamis, Attiki, Greece
- Iatriko Paleou Falirou Medical Center, Diabetes Clinic, Athens, Greece
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