New Trends: Time in Range and the Use of Continuous Glucose Monitoring Devices on Glycemic Control
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Time in Range is a new concept in Diabetology, defining the percentage of the length of time in which the patient stays within a predetermined range of blood glucose. Electronic devices, from which the concept of Time in Range derived, help promote a better comprehension of these procedures, and may lead to a decrease in glycemic variability and to a lower risk of complications. It may also ease the control and adjustments in the treatment of diabetes. Therefore, the application of the Time in Range concept could generate a better diabetes control.
Diabetes Mellitus is a chronic metabolic disease caused by hyperglycemia due to changes related to insulin production and action. It has high morbidity and mortality and high prevalence and may affect several age groups. Currently, its classification is based on its etiology, with the most common diagnoses being pre-diabetes, type 1, type 2 and gestational diabetes. It should be investigated early in patients who have risk factors such as obesity and physical inactivity. It is diagnosed by alterations in fasting or random glucose measurement, oral glucose tolerance test and glycated hemoglobin. Its control and monitoring should be based on glycemic stability. Even more mechanisms are being developed to help the patient in the control of blood glucose, avoiding risks of acute and chronic complications, which can be severe and limiting.
-
Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations from the International Consensus on Time in Range. Disponível em: https://care.diabetesjournals.org/content/42/8/1593 Acesso em Julho de 2019.
Google Scholar
-
American Diabetes Association. Standards of medical care in diabetes: 2012. Diabetes Care. 2012;35(Suppl 1):S11-63.
DOI
Google Scholar
-
Insulina Technosfere: Inhaled insulin for post prandial glucose control | Freddy Eliaschvitz. Disponível em: https://sbd.eadbox.com/courses/sitec-2019-simposio-internacional-de-tecnologias-em-diabetes Acesso em julho de 2019.
Google Scholar
-
Introduction: Standards of Medical Care in Diabetes—2020. Diabetes Care 2020 Jan; 43(Supplement 1): S1-S2. https://doi.org/10.2337/dc20-Sint.
DOI
Google Scholar
-
Salles, P.; Halpern, A; Cercato, C. O Essencial em Endocrinologia 1a ed. 2016.
Google Scholar
-
Vilar, Lúcio. Endocrinologia Clínica - 6ª edição, 2016.
Google Scholar
-
Prevention or Delay of Type 2 Diabetes: Standards of Medical Care in Diabetes—2020 American Diabetes Association Diabetes Care 2020 Jan; 43(Supplement 1): S32-S36. https://doi.org/10.2337/dc20-S003.
DOI
Google Scholar
-
Yeh HC, Duncan BB, Schmidt MI, Wang NY, Brancati FL. Smoking, smoking cessation,and risk for type 2 diabetes mellitus: a cohort study. Ann Intern Med 2010;152:10–17.
DOI
Google Scholar
-
Oba S, Noda M, Waki K, et al.; Japan Public Health Center-based Prospective Study Group. Smoking cessation increases short-term risk of type 2 diabetes irrespective of weight gain: the Japan Public Health Center-based Prospective Study [published correction appears in PLoS One 2013;8:10.1371/annotation/23aa7c42-9a4d-42a7-8f50-9d0ac4b85396]. PLoS One 2012;7:e17061.
DOI
Google Scholar
-
Hu Y, Zong G, Liu G, et al. Smoking cessation, weight change, type 2 diabetes, and mortality. N Engl J Med 2018;379:623–632.
DOI
Google Scholar
-
Grock S, Ku J-H, Kim J, Moin T. A review of technology-assisted interventions for diabetes prevention. Curr Diab Rep 2017;17:107.
DOI
Google Scholar
-
Reaney M, Elash CA, Litcher-Kelly L. Patient reported outcomes (PROs) used in recent phase 3 trials for type 2 diabetes: a review of concepts assessed by these PROs and factors to consider when choosing a PRO for future trials. Diabetes Res Clin Pract 2016;116:54–67Google Scholar.
DOI
Google Scholar
-
Vieta A, Badia X, Sacristán JA. A systematic review of patient-reported and economic outcomes: value to stakeholders in the decision-making process in patients with type 2 diabetes mellitus. Clin Ther 2011;33:1225–1245PubMedGoogle Scholar.
DOI
Google Scholar
-
Engström MS, Leksell J, Johansson U-B, Gudbjörnsdottir S. What is important for you? A qualitative interview study of living with diabetes and experiences of diabetes care to establish a basis for a tailored patient-reported outcome measure for the Swedish National Diabetes Register. BMJ Open 2016;6:e010249Abstract/FREE Full TextGoogle Scholar.
DOI
Google Scholar
-
Vanstone M, Rewegan A, Brundisini F, Dejean D, Giacomini M. Patient perspectives on quality of life with uncontrolled type 1 diabetes mellitus: a systematic review and qualitative meta-synthesis. Ont Health Technol Assess Ser 2015;15:1–29PubMedGoogle ScholarP. Reed Larsen & Henry M. Kronenberg & Shlomo Melmed & Kenneth S. Polonsky Williams - Tratado de Endocrinologia Clínica - 11ª edição.
Google Scholar
-
Keely E, Traczyk L, Liddy C. Patients’ perspectives on wait times and the referral-consultation process while attending a tertiary diabetes and endocrinology centre: is econsultation an acceptable option? Can J Diabetes 2015;39:325–329Google Scholar.
DOI
Google Scholar
-
Joensen LE, Filges T, Willaing I. Patient perspectives on peer support for adults with type 1 diabetes: a need for diabetes-specific social capital. Patient Prefer Adherence 2016;10:1443–1451Google Scholar.
DOI
Google Scholar
-
Polonsky WH, Fisher L, Hessler D, Bruhn D, Best JH. Patient perspectives on once-weekly medications for diabetes. Diabetes Obes Metab 2011;13:144–149CrossRefPubMedGoogle Scholar.
DOI
Google Scholar
-
Sullivan-Bolyai S, Bova C, Johnson K, et al. Engaging teens and parents in collaborative practice. Diabetes Educ 2014;40:178–190CrossRefPubMedGoogle Scholar.
DOI
Google Scholar
-
Nadal JF, Barba EL, Garcia CG, Buil-Cosiales P, Millaruelo JM, Peña MLO. Patient-reported outcomes in type 2 diabetes mellitus: patients’ and primary care physicians’ perspectives in the Spanish health care system. Patient Prefer Adherence 2015;8:1413–1422.
DOI
Google Scholar
-
Sociedade Brasileira de Diabetes. Diretrizes da Sociedade Brasileira de Diabetes 2017-2018. São Paulo: AC Farmacêutica; 2019. Disponível em: http://formsus.datasus.gov.br/novoimgarq/41252/8137296_312361.pdf Acesso em 20 de agosto de 2019.
Google Scholar
-
American Diabetes Association. 2. Classification and Diagnosis of Diabetes. Diabetes Care. 2018;41(Suppl 1):S13-S27.
Google Scholar
-
Posicionamento Oficial SBD, SBPC-ML, SBEM e FENAD 2017/2018. Atualização Sobre Hemoglobina Glicada (A1c) Para Avaliação Do Controle Glicêmico E Para O Diagnóstico Do Diabetes: Aspectos Clínicos E Laboratoriais Disponível em: https://www.diabetes.org.br/publico/images/banners/posicionamento-3-2.pdf Acesso em agosto de 2019.
Google Scholar
-
Guo XH (2016): The value of short- and long-acting glucagon-like peptide-1 agonists in the management of type 2 diabetes mellitus: experience with exenatide. Curr Med Res Opin. 32(1):61-76. doi: 10.1185/03007995.2015.1103214.
DOI
Google Scholar
-
Dungan K (2019): Amylin analogs for the treatment of diabetes mellitus. In: UpToDate, Basow, DS (Ed), Waltham, MA. Cited 11/12/19.
Google Scholar
-
The ACCORD Study Group. Nine-year effects of 3.7 years of intensive glycemic control on cardiovascular outcomes. Diabetes Care 2016;39:701-8.
DOI
Google Scholar
-
Progression of retinopathy with intensive versus conventional treatment in the Diabetes Control and Complications Trial Re- search Group. Ophthalmology. 1995;102(4):647-61.
DOI
Google Scholar
-
The relationship of glycemic exposure (HbA1c) to the risk of development and progression of retinopathy in the Diabetes Control and Complications Trial. Diabetes. 1995;44(8):968-83.
DOI
Google Scholar
-
Rosenberg JB, Tsui I. Screening for diabetic retinopathy. N Engl J Med. 2017;376(16):1587-8.
DOI
Google Scholar
-
ADA (2017): American Diabetes Association Standards of Medical Care in Diabetes – 2017. Diabetes Care. 40 (Suppl 1): S1-138.
DOI
Google Scholar
-
Li R, Zhang P, Barker LE, Chowdhury FM, Zhang X. Cost-effectiveness of interventions to prevent and control diabetes mellitus: a systematic review. Diabetes Care 2010;33:1872–1894.
DOI
Google Scholar
-
Cox DJ, Gonder,Frederick L, Polonsky W, Schlundt D, Kovatchev B, Clarke W. Blood glucose awareness training (BGAT-2): long-term benefits. Diabetes Care 2001;24:637–642.
DOI
Google Scholar
-
Riddlesworth TD, Beck RW, Gal RL, et al. Optimal sampling duration for continuous glucose monitoring to determine long-term glycemic control. Diabetes Technol Ther2018;20:314–316pmid:29565197.
DOI
Google Scholar
-
Vincent AM, Russell JW, Low P, et al. Oxidative stress in the pathogenesis of diabetic neuropathy. Endocr Rev2004;25:612–28.doi:10.1210/er.2003-0019.
DOI
Google Scholar
-
Pop-Busui R, Sima A, Stevens M. Diabetic neuropathy and oxidative stress. Diabetes Metab Res Rev2006;22:257–73.doi:10.1002/dmrr.625.
DOI
Google Scholar
-
de Boer IH, Group DER, DCCT/EDIC Research Group. Kidney disease and related findings in the diabetes control and complications trial/epidemiology of diabetes interventions and complications study. Diabetes Care2014;37:24–30.doi:10.2337/dc13-2113.
DOI
Google Scholar
-
Nathan DM, Genuth S, Lachin J, et al. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med1993;329:977–86.doi:10.1056/NEJM199309303291401.
DOI
Google Scholar
-
The effect of intensive diabetes therapy on the development and progression of neuropathy. The diabetes control and complications trial Research Group. Ann Intern Med1995;122:561–8.doi:10.7326/0003-4819-122-8-199504150-00001.
DOI
Google Scholar
-
Pop-Busui R, Lu J, Lopes N, et al. Prevalence of diabetic peripheral neuropathy and relation to glycemic control therapies at baseline in the Bari 2D cohort. J Peripher Nerv Syst2009;14:1–13.
DOI
Google Scholar
-
Ismail-Beigi F, Craven T, Banerji MA, et al. Effect of intensive treatment of hyperglycaemia on microvascular outcomes in type 2 diabetes: an analysis of the ACCORD randomised trial. Lancet2010;376:419–30.doi:10.1016/S0140-6736(10)60576-4.
DOI
Google Scholar
-
McCulloch DK (2016): General principles of insulin therapy in diabetes mellitus. In: UpToDate, Basow, DS (Ed), Waltham, MA. Cited 2/7/17.
Google Scholar
-
https://www.diabetes.org.br/publico/noticias-sbd/1853-anvisa-aprova-insulina-inalavel - Acesso em 20 de Agosto de 2019.
Google Scholar
-
Hanas R, de Beaufort C, Hoey H, Anderson B. Insulin delivery by injection in children and adolescents with diabetes. Pediatric Diabetes. 2011;12(5):518-26.
DOI
Google Scholar
-
Medtronic. i-Port AdvanceTM injection port. [Internet]. [acesso em fevereiro de 2020]. Disponível em: https://www.medtronicdiabetes.com/products/i-port-advance.
Google Scholar
-
Diretrizes da Sociedade Brasileira de Diabetes 2019-2020 Acessado em fevereiro de 2020, disponível em: https://www.diabetes.org.br/profissionais/images/DIRETRIZES-COMPLETA-2019-2020.pdf.
Google Scholar
-
Riley D, Raup GH. Impact of a subcutaneous injection device on improving patient care. Nurs Manage. 2010;41(6):49-50.
DOI
Google Scholar
-
Khan AM, Alswat KA. Benefits of Using the i-Port System on Insulin-Treated Patients. Diabetes Spectr. 2019;32(1):30-35.
DOI
Google Scholar
-
Goldberg T, Wong E. Afrezza (Insulin Human) Inhalation Powder: A New Inhaled Insulin for the Management of Type-1 or Type-2 Diabetes Mellitus. P T. 2015;40(11):735-41.
Google Scholar
-
Mohanty RR, Das S. Inhaled Insulin - Current Direction of In- sulin Research. J Clin Diagn Res. 2017;11(4):OE01-OE02.
DOI
Google Scholar
-
Danne T, Nimri R, Battelino T, Bergenstal RM, Close KL, De-Vries JH, et al. International Consensus on Use of Continuous Glucose Monitoring. Diabetes Care. 2017;40(12):1631-40.
Google Scholar
-
Novas Abordagens Intensivas Para O Controle Do Diabetes Tipo 2. Disponível em: https://www.diabetes.org.br/profissionais/images/pdf/apresentacoes-medicas/novas-abordagens.pdf Acessado em 01 de agosto de 2019.
Google Scholar
-
Posicionamento Oficial SBD no 01/2019 Conduta Terapêutica No Diabetes Tipo 2: Algoritmo SBD 2019. Disponível em: https://www.diabetes.org.br/publico/images/pdf/sbd_dm2_2019_2.pdf Acesso em Agosto de 2019.
Google Scholar
-
Controvérsia E Avanços Tecnológicos Sobre Hemoglobina Glicada (A1C). Disponível em: https://www.diabetes.org.br/profissionais/images/pdf/apresentacoes-medicas/ahemoglobina-glicada.pdf Acesso em 23 de agosto de 2019.
Google Scholar
-
ASSOCIAÇÃO Brasileira para o Estudo da Obesidade e da Síndrome Metabólica. Diretrizes brasileiras de obesidade 2016 / ABESO - Associação Brasileira para o Estudo da Obesidade e da Síndrome Metabólica. 4. ed. São Paulo, SP.
Google Scholar
-
FALUDI, A. A. et al. Atualização da Diretriz Brasileira de Dislipidemias e Prevenção da Aterosclerose. PubMed. 2017.
DOI
Google Scholar
-
Intensive Glucose Control in Patients with Type 2 Diabetes - 15-Year Follow-up Disponível em: https://www.nejm.org/doi/full/10.1056/NEJMoa1806802. Acesso em julho de 2019.
Google Scholar
-
Buse JB et al (2019): 2019 Update to: Management of Hyperglycemia in Type 2 Diabetes, 2018. A Consensus Report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes Care. https://doi.org/10.2337/dci19-0066.
DOI
Google Scholar
-
P. Reed Larsen & Henry M. Kronenberg & Shlomo Melmed & Kenneth S. Polonsky Williams - Tratado de Endocrinologia Clínica - 11ª edição.
Google Scholar
-
Haak T, Hanaire H, Ajjan R, Hermanns N, Riveline JP, Rayman G. Flash glucose-sensing technology as a replacement for blood glucose monitoring for the management of insulin-treated type 2 diabetes: a multicenter, open-label ran- domized controlled trial. Diabetes Ther 2017;8: 55-73.
DOI
Google Scholar
-
Burant CF, Young LA American Diabetes Association. Medical Management of Type 2 Diabetes. 7th ed. Burant CF, Young LA, Eds. Alexandria, VA, American Diabetes Association, 2012.
Google Scholar
-
Grant RW, Kirkman MS. Trends in the evidence level for the American Diabetes Association's "Standards of Medical Care in Diabetes" from 2005 to 2014. Diabetes Care 2015;38:6-8.
DOI
Google Scholar
-
Mazze RS, Lucido D, Langer O, Hartmann K, Rodbard D. Ambulatory glucose profile: representation of verified self-monitored blood glucose data. Diabetes Care 1987;10:111-117pmid:3552508.
DOI
Google Scholar
-
Fonseca V, Grunberger G. Letter to the editor: standard glucose reporting: follow-up to the February 2016 AACE CGM Consensus Conference. Endocr Pract 2017;23:629-632pmid:28467179.
DOI
Google Scholar
-
Self-monitoring of blood glucose in non-insulin treated type 2 diabetes - Innternacional Diabetes Federation - Disponível em: https://www.idf.org/e-library/guidelines/85-self-monitoring-of-blood-glucose-in-non-insulin-treated-type-2-diabetes.html Acesso em 13 de agosto de 2019.
Google Scholar
-
Pickup JC, Freeman SC, Sutton AJ. Glycaemic control in type 1 diabetes during real time continuous glucose monitoring compared with self monitoring of blood glucose: meta-analysis of randomised controlled trials using individual patient data. BMJ 2011; 343:d3805.
DOI
Google Scholar
-
Time in Range: the new metric for Diabetes | Robert Vigerski Disponível em: https://sbd.eadbox.com/courses/sitec-2019-simposio-internacional-de-tecnologias-em-diabetes Acesso em julho de 2019.
Google Scholar
-
Wang CC, Shah AC. American Diabetes Association. Medical Management of Type 1 Diabetes. 7th ed. Wang CC, Shah AC, Eds. Alexandria, VA, American Diabetes Association, 2017.
Google Scholar
-
Gonder-Frederick LA, Schmidt KM, Vajda KA, et al Psychometric properties of the Hypoglycemia Fear Survey-II for adults with type 1 diabetes. Diabetes Care 2011;34:801-806.
DOI
Google Scholar
-
Cox DJ, Kovatchev B, Koev D, et al. Hypoglycemia anticipation, awareness and treatment training (HAATT) reduces occurrence of severe hypoglycemia among adults with type 1 diabetes mellitus. Int J Behav Med 2004.
DOI
Google Scholar
-
Kilpatrick ES, Rigby AS, Goode K, Atkin SL. Relating mean blood glucose and glucose variability to the risk of multiple episodes of hypoglycaemia in type 1 diabetes. Diabetologia2007;50:2553-2561pmid:17882397.
DOI
Google Scholar
-
Facilitating Behavior Change and Well-being to Improve Health Outcomes: Standards of Medical Care in Diabetes-2020 American Diabetes Association. Diabetes Care 2020 Jan; 43(Supplement 1): S48-S65. https://doi.org/10.2337/dc20-S005.
DOI
Google Scholar
-
Norris SL, Lau J, Smith SJ, Schmid CH, Engelgau MM. Self-management education for adults with type 2 diabetes: a meta-analysis of the effect on glycemic control. Diabetes Care 2002;25:1159-1171.
DOI
Google Scholar
-
Haas L, Maryniuk M, Beck J, et al.; 2012 Standards Revision Task Force. National Standards for Diabetes Self-Management Education and Support. Diabetes Care 2013;37(Suppl. 1):S144-S153.
DOI
Google Scholar
-
Frosch DL, Uy V, Ochoa S, Mangione CM. Evaluation of a behavior support intervention for patients with poorly controlled diabetes. Arch Intern Med 2011;171:2011-2017.
DOI
Google Scholar
-
Cooke D, Bond R, Lawton J, et al.; U.K. NIHR DAFNE Study Group. Structured type 1 diabetes education delivered within routine care: impact on glycemic control and diabetes-specific quality of life. Diabetes Care 2013;36:270-272.
DOI
Google Scholar
-
Chrvala CA, Sherr D, Lipman RD. Diabetes self-management education for adults with type 2 diabetes mellitus: a systematic review of the effect on glycemic control. Patient Educ Couns2016;99:926-943.
DOI
Google Scholar
-
Steinsbekk A, Rygg LØ, Lisulo M, Rise MB, Fretheim A. Group based diabetes self-management education compared to routine treatment for people with type 2 diabetes mellitus. A systematic review with meta-analysis. BMC Health Serv Res 2012;12:213.
DOI
Google Scholar
-
Deakin T, McShane CE, Cade JE, Williams RDRR. Group based training for self-management strategies in people with type 2 diabetes mellitus. Cochrane Database Syst Rev 2005;2:CD003417.
DOI
Google Scholar
-
Cochran J, Conn VS. Meta-analysis of quality of life outcomes following diabetes self-management training. Diabetes Educ 2008;34:815-823.
DOI
Google Scholar
-
He X, Li J, Wang B, et al. Diabetes self-management education reduces risk of all-cause mortality in type 2 diabetes patients: a systematic review and meta-analysis. Endocrine 2017;55:712-731.
DOI
Google Scholar
-
Thorpe CT, Fahey LE, Johnson H, Deshpande M, Thorpe JM, Fisher EB. Facilitating healthy coping in patients with diabetes: a systematic review. Diabetes Educ 2013;39:33-52.
DOI
Google Scholar
-
Fisher L, Hessler D, Glasgow RE, et al. REDEEM: a pragmatic trial to reduce diabetes distress. Diabetes Care 2013;36:2551-2558.
DOI
Google Scholar
-
Robbins JM, Thatcher GE, Webb DA, Valdmanis VG. Nutritionist visits, diabetes classes, and hospitalization rates and charges: the Urban Diabetes Study. Diabetes Care 2008;31:655-660.
DOI
Google Scholar
-
Duncan I, Ahmed T, Li QE, et al. Assessing the value of the diabetes educator. Diabetes Educ2011;37:638-657.
DOI
Google Scholar
-
Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Interventions and Complications (EDIC) Study Research Group. Intensive diabetic treatment and cardiovascular outcomes in type 1 diabetes: The DCCT/EDIC study 30-year follow-up. Diabetes Care2016;39:686-693pmid:26861924.
DOI
Google Scholar
-
The DCCT Research Group. Reliability and validity of a diabetes quality-of-life measure for the Diabetes Control and Complications Trial (DCCT). Diabetes Care 1988;11:725-32.
DOI
Google Scholar
-
The Diabetes Control and Complications Trial/Epidemiology of Diabetes Inter- ventions and Complications (DCCT/EDIC) Study Research Group. Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes. N Engl J Med 2005;353:2643-53.
DOI
Google Scholar
-
Strawbridge LM, Lloyd JT, Meadow A, Riley GF, Howell BL. One-year outcomes of diabetes self-management training among Medicare beneficiaries newly diagnosed with diabetes. Med Care2017;55:391-397.
DOI
Google Scholar
-
Bergenstal RM, Gal RL, Connor CG, et al. Racial differences in the relationship of glucose concentrations and hemoglobin A1c levels. Ann Intern Med 2017;167:95-102.
DOI
Google Scholar
-
Nathan DM, Kuenen J, Borg R, Zheng H, Schoenfeld D, Heine RJ. Translating the A1C assay into estimated average glucose values. Diabetes Care 2008;31:1473-1478.
DOI
Google Scholar
-
Beck RW, Connor CG, Mullen DM, Wesley DM, Bergenstal RM. The fallacy of average: how using HbA1c alone to assess glycemic control can be misleading. Diabetes Care 2017;40:994-999.
DOI
Google Scholar
-
DeWalt DA, Davis TC, Wallace AS, et al. Goal setting in diabetes self-management: taking the baby steps to success. Patient Educ Couns 2009; 77: 218-223pmid:19359123.
DOI
Google Scholar
-
Atualização sobre hemoglobina glicada (HbA1) para avaliação do controle glicêmico e para o diagnostico do diabetes: aspectos clínicos e laboratoriais Disponível em: http://www.scielo.br/pdf/jbpml/v45n1/07.pdf Acesso em julho de 2019.
Google Scholar
-
Knowler WC, Barrett-Connor E, Fowler SE, et al.; Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med2002;346:393-403.
DOI
Google Scholar
-
Wing RR, Edelstein SL, et al. Effect of weight loss with lifestyle intervention on risk of diabetes. Diabetes Care 2006;29:2102-2107 ?
DOI
Google Scholar
-
Ley SH, Hamdy O, Mohan V, Hu FB. Prevention and management of type 2 diabetes: dietary components and nutritional strategies. Lancet 2014;383:1999-2007.
DOI
Google Scholar
-
Jacobs S, Harmon BE, Boushey CJ, et al. A priori-defined diet quality indexes and risk of type 2 diabetes: the Multiethnic Cohort. Diabetologia 2015;58:98-112.
DOI
Google Scholar
-
Chiuve SE, Fung TT, Rimm EB, et al. Alternative dietary indices both strongly predict risk of chronic disease. J Nutr 2012;142:1009-1018.
DOI
Google Scholar
-
Schwingshackl L, Bogensberger B, Hoffmann G. Diet quality as assessed by the Healthy Eating Index, Alternate Healthy Eating Index, Dietary Approaches to Stop Hypertension score, and health outcomes: an updated systematic review and meta-analysis of cohort studies. J Acad Nutr Diet2018;118:74-100.e11.
DOI
Google Scholar
-
Management of Postmeal Glucose - Innternacional Diabetes Federation - Disponível em: https://www.idf.org/e-library/guidelines/82-management-of-postmeal-glucose.html. Acesso em 15 de agosto de 2019.
Google Scholar
-
Posicionamento Oficial SBD n0 04/2019: O papel do sistema de infusa?o conti?nua de insulina, bomba de insulina, no tratamento do diabetes. Disponível em:https://www.diabetes.org.br/profissionais/images/2019/posicionamento2019/PAPEL-SISTEMA-INFUSAO.pdf Acesso em outubro 2019.
Google Scholar
-
Protocolo Clínico E Diretrizes Terapêuticas Para A Dispensação De Sensor De Glicose. Secretaria de saúde Governo do Estado do Espírito Santo. - Disponível em: https://saude.es.gov.br/Media/sesa/Consulta%20Pública/Protocolo%20Sensores%20de%20Glicose.pdf Acesso em:16 de Agosto de 2019.
Google Scholar
-
Diabetes: pesquisa avalia os fatores associados à qualidade de vida. Disponível em:https://portal.fiocruz.br/noticia/diabetes-pesquisa-avalia-os-fatores-associados-qualidade-de-vida Acesso em agosto de 2019.
Google Scholar
-
Diabetes Trials Unit http://www.dtu.ox.ac.uk/ - Acesso em 13 de Agosto de 2019.
Google Scholar
-
Monnier L, Colette C, Wojtusciszyn A, et al. Toward defining the threshold between low and high glucose variability in diabetes. Diabetes Care 2017;40:832-838pmid:28039172.
DOI
Google Scholar
-
Monnier L, Colette C, Dejager S, Owens DR. Near normal HbA1c with stable glucose homeostasis: the ultimate target/aim of diabetes therapy. Rev Endocr Metab Disord2016;17:91-101pmid:26803295.
DOI
Google Scholar
-
Abbott. Freestyle Libre User Manual. 2016.
Google Scholar
-
Uso da tecnologia e das novas terapias para tomada de decisões terapêuticas no DM. https://www.diabetes.org.br/profissionais/albums/37-recife - Acesso em 13 de Agosto de 2019.
Google Scholar
-
Revista Portuguesa de Diabetes. 2018; 13 (4): 143-153 NATIONAL CONSENSUS - Consenso Nacional para a Utilizac?a?o do Sistema de Monitorizac?a?o Flash da Glicose National Consensus on the Use of the Glucose Flash Monitoring System disponível em : http://www.revportdiabetes.com/wp-content/uploads/2019/01/RPD-DEzembro-2018-Consenso-Nacional-págs-143-153.pdf Acesso em 22 de agosto de 2019.
Google Scholar
-
Six-Month Randomized, Multicenter Trial of Closed-Loop Control in Type 1 Diabetes. N Engl J Med. 2019 Oct 31;381(18):1707-1717. doi: 10.1056/NEJMoa1907863. Epub 2019 Oct 16.
Google Scholar
-
Determinação Das Glicemias Capilar E Venosa Com Glicosímetro Versus Dosagem Laboratorial Da Glicose Plasmática - Jornal Brasileiro de Patologia e Medicina Laboratorial. Disponível em: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1676-24442009000500006 Acesso em: 12 de agosto de 2019.
Google Scholar
-
Brown SA, Kovatchev BP, Raghinaru D, et al. Six-month randomized, multicenter trial of closed-loop control in type 1 diabetes. N Engl J Med. 2019;381:1707-1717.
DOI
Google Scholar
-
Protocolo Clínico e Diretrizes Terape?uticas Diabetes Mellitus Tipo 1 - Disponível em: http://conitec.gov.br/images/Relatorios/2018
Google Scholar
-
/Relatorio.PCDTDM2018.pdf Acesso em 08 de agosto de 2019.
Google Scholar
-
American Diabetes Association. 6. Glycemic Targets: Standards of Medical Care in Diabetes-2018. Diabetes Care 2018; 41:S55.
DOI
Google Scholar
-
Harmonizing Hemoglobin A1C Testing. http://www.ngsp.org - Acesso em 14 de Agosto de 2019.
Google Scholar
-
Hypo and Hyperglycemia in Relation to the Mean, Standard Deviation, Coefficient of Variation, and Nature of the Glucose Distribution Disponível em: https://www.liebertpub.com/doi/10.1089/dia.2012.0062 Acesso em Agosto de 2019.
Google Scholar
-
Chandalia, H.B. and Krishnaswamy, P.R. Glycated Hemoglobin u2013 Current Science. (83)12:1522-1532, 2002. Disponível em: https://pdfs.semanticscholar.org/2ff1/75109034a4f12be326b8578d0dc12040fd8e.pdf Acesso em 23 de agosto de 2019.
Google Scholar
-
Time in Range, as a Novel Metric of Glycemic Control, Is Reversely Associated with Presence of Diabetic Cardiovascular Autonomic Neuropathy Independent of HbA1c in Chinese Type 2 Diabetes. Volume 2020 |Article ID 5817074 | 11 pages | https://doi.org/10.1155/2020/5817074.
DOI
Google Scholar
-
T. Danne, R. Nimri, T. Battelino et al., "International consensus on use of continuous glucose monitoring," Diabetes Care, vol. 40, no. 12, pp. 1631-1640, 2017.
DOI
Google Scholar
-
J. Fleischer, "Diabetic autonomic imbalance and glycemic variability," Journal of Diabetes Science and Technology, vol. 6, no. 5, pp. 1207-1215, 2012.
DOI
Google Scholar
-
R. W. Beck, R. M. Bergenstal, T. D. Riddlesworth et al., "Validation of time in range as an outcome measure for diabetes clinical trials," Diabetes Care, vol. 42, no. 3, pp. 400-405, 2019.
Google Scholar
-
V. Spallone, F. Bellavere, L. Scionti et al., "Recommendations for the use of cardiovascular tests in diagnosing diabetic autonomic neuropathy," Nutrition, Metabolism, & Cardiovascular Diseases, vol. 21, no.1, pp. 69-78, 2011.
DOI
Google Scholar
-
The DCCT Research Group, "The Diabetes Control and Complications Trial (DCCT). Design and methodologic considerations for the feasibility phase. The DCCT Research Group," Diabetes, vol. 35, no. 5, pp. 530-545, 1986.
DOI
Google Scholar
-
UK Prospective Diabetes Study (UKPDS) Group, "Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33)," The Lancet, vol. 352, no. 9131, pp. 837-853,1998.
DOI
Google Scholar
-
UKPDS risk engine. Oxford, United Kingdom: Oxford Centre for Diabetes, En- docrinology and Metabolism, 2017 (https:// www.dtu.ox.ac.uk/riskengine).
Google Scholar
-
American Diabetes Association, "Standards of medicalcare in diabetes-2017: summary of revisions," Diabetes Care, vol. 39, Supplement 1,pp. S4-S5, 2017.
DOI
Google Scholar
-
J. M. Lachin, S. Genuth, D. M. Nathan, B. Zinman, B. N. Rutledge, and DCCT/EDIC Research Group, "Effect of glycemic exposure on the risk of microvascular complications in the diabetes control and complications trial--revisited," Diabetes, vol. 57, no. 4, pp. 995-1001, 2008.
DOI
Google Scholar
-
S. T. Andersen, D. R. Witte, J. Fleischer et al., "Risk factors for the presence and progression of cardiovascular autonomic neuropathy in type 2 diabetes: ADDITION-Denmark," Diabetes Care, vol. 41, no. 12, pp. 2586-2594, 2018.
DOI
Google Scholar
-
R. A. Vigersky and C. McMahon, "The relationship of hemoglobin A1C to time-in-range in patients with diabetes," Diabetes Technology & Therapeutics, vol. 21, no. 2, pp. 81-85, 2019.
DOI
Google Scholar
-
L. A. Wright and I. B. Hirsch, "Metrics beyond hemoglobin A1C in diabetes management: time in range, hypoglycemia, and other parameters," Diabetes Technology & Therapeutics, vol. 19, no. S2, pp.S16-S26, 2017.
DOI
Google Scholar
-
A.S. Omar, A. Salama, M. Allam et al., "Association of time in blood glucose range with outcomes following cardiac surgery," BMC Anesthesiology, vol. 15, article 14, 2015.
DOI
Google Scholar
-
J. Lu, X. Ma, J. Zhou et al., "Association of time in range, as assessed by continuous glucose monitoring, with diabetic retinopathy in type 2 diabetes," Diabetes Care, vol. 41, no. 11, pp. 2370-2376, 2018.
DOI
Google Scholar
-
J. E. Jun, S. E. Lee, Y. B. Lee et al., "Continuous glucose monitoring defined glucose variability is associated with cardiovascular autonomic neuropathy in type 1 diabetes," Diabetes/Metabolism Research and Reviews, vol. 35, no. 2, article e3092, 2019.
DOI
Google Scholar
-
D. Matsutani, M. Sakamoto, H. Iuchi et al., "Glycemic variability in continuous glucose monitoring is inversely associated with baroreflex sensitivity in type 2 diabetes: a preliminary report," Cardiovascular Diabetology, vol. 17, no. 1, p. 36, 2018.
DOI
Google Scholar
-
Diabetes Technology: Review of the 2019 American Diabetes Association Standards of Medical Care in Diabetes.
Google Scholar
-
Implantable Sensors. Disponível em: https://sbd.eadbox.com/courses/sitec-2019-simposio-internacional-de-tecnologias-em-diabetes Acesso em julho de 2019.
Google Scholar
-
Lind M, Polonsky W, Hirsch IB, et al. Continuous glucose monitoring vs conventional therapy for glycemic control in adults with type 1 diabetes treated with multiple daily insulin injections: the GOLD randomized clinical trial. JAMA. 2017;317:379-87. [PMID: 28118454] doi:10.1001/jama.2016.19976.
DOI
Google Scholar
-
U.S. Food and Drug Administration. FDA news release: FDA expands indication for continuous glucose monitoring system, first to replace fingerstick testing for diabetes treatment decisions. Disponível em: www.fda.gov/newsevents/newsroom/pressannouncements/ucm534056.htm Acesso em 14 Julho 2019.
Google Scholar
-
Performance of the Freestyle® Libre flash glucose monitoring (flash GM) system in people with type 1 diabetes: a secondary outcome analysis of a randomised crossover trial.
Google Scholar
-
Mullen DM, Bergenstal R, Criego A, Arnold KC, Goland R, Richter S. Time savings using a standardized glucose reporting system and ambulatory glucose profile. J Diabetes Sci Technol2018;12:614-621pmid:29169243.
DOI
Google Scholar
-
Carlson AL, Mullen DM, Bergenstal RM. Clinical use of continuous glucose monitoring in adults with type 2 diabetes. Diabetes Technol Ther 2017;19(Suppl. 2):S4-S11pmid:28541137.
DOI
Google Scholar
-
Lawlor KB, Hornyak MJ. SMART goals: how the application of SMART goals can contribute to achievement of student learning outcomes. Developments in Business Simulation and Experiential Learning: Proceedings of the Annual ABSEL Conference 2012;39:259-267.
Google Scholar
-
DiMeglio LA, Acerini C, Codner E, et al. ISPAD Clinical Practice Consensus Guidelines 2018: glycemic control targets and glucose monitoring for children, adolescents, and young adults with diabetes. Pediatr Diabetes 2018;19:105-114.
DOI
Google Scholar
-
W. Xu, Y. Zhu, X. Yang et al., "Glycemic variability is an important risk factor for cardiovascular autonomic neuropathy in newly diagnosed type 2 diabetic patients," International Journal of Cardiology, vol. 215, pp. 263-268, 2016.
DOI
Google Scholar
-
Glycemic Targets: Standards of Medical Care in Diabetes-2020. American Diabetes Association Diabetes Care 2020 Jan; 43(Supplement 1): S66-S76. https://doi.org/10.2337/dc20-S006.
DOI
Google Scholar
-
Beck RW, Bergenstal RM, Cheng P, et al. The relationships between time in range, hyperglycemia metrics, and HbA1c. J Diabetes Sci Technol 2019;13:614-626.
DOI
Google Scholar
-
Comparação Entre Determinaçõeses De Glicemia Capilar E Venosa Com Glicosímetros E Dosagem Laboratorial Da Glicose Plasmática Venosa - Revista Médica de Minas Gerais. Disponível em: http://rmmg.org/artigo/detalhes/2054 Acesso em: 18 de agosto de 2019.
Google Scholar
-
Beck, RW, et al. Diabetes Care 2019; 42:400-5.
DOI
Google Scholar
-
Battelino T, Danne T, Bergenstal RM, et al. Clinical targets for continuous glucose monitoring data interpretation: recommendations from the international consensus on time in range. Diabetes Care2019;42:1593-1603.
Google Scholar
-
SBD chancela o Consenso de Tempo no Alvo (Time in range, TIR) - Disponível em: https://www.diabetes.org.br/publico/palavra-da-presidente/1950-sbd-chancela-o-consenso-de-tempo-no-alvo-time-in-range-tir Acesso em 20 de agosto de 2019.
Google Scholar
-
Posicionamento Oficial SBD n0 03/2019: Utilização de setas de tendência para pacientes com diabetes mellitus em monitorização contínua de glicose. Disponível em: https://www.diabetes.org.br/profissionais/images/SETAS.pdf Acesso em outubro 2019.
Google Scholar
-
Consenso Brasileiro de uso das setas de tendëncia | Melanie Rodacky Disponível em: https://sbd.eadbox.com/courses/sitec-2019-simposio-internacional-de-tecnologias-em-diabetes Acesso em julho de 2019.
Google Scholar
-
http://tmedweb.tulane.edu/pharmwiki/doku.php/rx_of_diabetes.
Google Scholar
-
http://solmedicamentosespeciais.com.br/endocrinologia/insulina-inalavel-afrezza/.
Google Scholar
-
http://www.medtronicdiabetes.com/products/i-port-advance.
Google Scholar
-
DeFronzo, Diabetes. 2009;58 773-795.
DOI
Google Scholar
-
https://diatribe.org/BeyondA1c.
Google Scholar
-
https://www.touchendocrinology.com/advances-in-type-1-diabetes-technology-over-the-last-decade/.
Google Scholar
-
dexcom.com access aug/2019.
Google Scholar
-
https://www.diabetesdaily.com/.
Google Scholar
-
Oficial SBD n0 03/2019.
Google Scholar
-
http://www.a1cbloodtest.net/a1c-complications.php.
Google Scholar
-
ADA Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations from the International Consensus on Time in Range.
Google Scholar