Medicina de precisão e inovações tecnológicas no manejo do Diabetes Mellitus tipo 1: uma revisão integrativa
DOI:
https://doi.org/10.34117/bjdv12n6-003Keywords:
diabetes tipo 1, sistemas de infusão de insulina, automonitoramento da glicemia, medicina de precisão, qualidade de vidaAbstract
O manejo clínico do Diabetes Mellitus Tipo 1 (DM1) impõe um paradoxo fundamental: a necessidade de um controle glicêmico estrito para prevenir complicações crônicas versus o risco iminente de episódios de hipoglicemia severa. Este estudo busca identificar e analisar, por meio de uma revisão integrativa da literatura, como a prescrição personalizada de insulinoterapia associada ao suporte tecnológico (rtCGM e AID) contribui para a otimização do controle metabólico e a prevenção de complicações. Foi realizada uma revisão nas bases de dados PubMed e BVS, abrangendo publicações entre 2021 e 2026. Os resultados indicam que a transição para métricas dinâmicas, como o Tempo no Alvo (TIR > 70%), consolidou-se como o padrão-ouro, oferecendo uma visão mais precisa da variabilidade glicêmica do que a HbA1c isolada. A inovação tecnológica, especificamente os sistemas automatizados de alça fechada, permitiu uma redução de 73% nas hipoglicemias graves e de 69% nas hospitalizações por cetoacidose. Além disso, essas ferramentas reduzem significativamente o distresse pelo diabetes e melhoram a qualidade do sono dos pacientes e seus familiares. Conclui-se que o sucesso da intervenção tecnológica é indissociável da individualização do cuidado, que deve considerar a literacia digital e a realidade biopsicossocial do usuário para garantir segurança e adesão.
References
ADDISSOUKY, T. A. et al. Technological advancement in the management of diabetes mellitus. s42269-024-01197-z, 2024.
AMERICAN DIABETES ASSOCIATION. 7. Diabetes Technology: Standards of Medical Care in Diabetes—2022. Diabetes Care, v. 45, n. Supplement_1, p. S97–S112, 2022.
BATTELINO, T. et al. Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range. Diabetes Care, v. 42, n. 8, p. 1593-1603, 2019.
BRASIL. Ministério da Saúde. Protocolos de Segurança do Paciente. Brasília: Anvisa, 2013
BRATKE, H.; SIVERTSEN, B. DiaSHOT18: a cross-sectional national health and well-being survey of university students with type 1 diabetes. Pediatric Diabetes, 2021.
CARR, A. L. et al. 100 years of insulin: celebrating the past, present and future of diabetes therapy. Diabetologia, 2022.
CHERUBINI, V. et al. Glucometrics and device satisfaction in children and adolescents with type 1 diabetes using different treatment modalities: A multicenter real-world observational study. Diabetes Research and Clinical Practice, v. 210, 111621, 2024.
CONITEC. Comissão Nacional de Incorporação de Tecnologias no Sistema Único de Saúde. Relatório de Recomendação: Sistemas de Infusão de Insulina. Brasília: Ministério da Saúde, 2023.
COSTA, A. F. et al. Individualização terapêutica e acesso a tecnologias no SUS: desafios e perspectivas no DM1. Revista de Saúde Pública, v. 57, n. 2, p. 34-45, 2023.
DEI CAS, A. et al. Effectiveness of adding alarms to flash glucose monitoring in adults with type 1 diabetes under routine care. Acta Diabetologica, v. 61, p. 1177-1184, 2024.
DI MOLFETTA, S. et al. Choosing the right advanced hybrid closed-loop system: a personalized approach. Journal of Diabetes and its Complications, v. 40, n. 1, p. 108-115, 2026.
DÍAZ-SOTO, G. et al. Glycemic Risk Index (GRI) and its association with patient satisfaction in type 1 diabetes users of Flash Glucose Monitoring. Endocrine, v. 84, n. 3, p. 412-420, 2024.
DONG, Y. et al. Impact of Flash Glucose Monitoring on hypoglycemia fear and quality of life in type 1 diabetes. Journal of Diabetes Investigation, v. 15, n. 2, p. 198-207, 2024.
DUNN, T. C. et al. Time in Tight Range (TITR): A New CGM Metric for the Era of Automated Insulin Delivery. Diabetes Technology & Therapeutics, v. 26, n. 4, p. 203-210, 2024.
ESPOSITO, S. et al. Telemedicine and diabetes technology in pediatric care.
Frontiers in Pediatrics, v. 12, p. 889-902, 2024.
FERSTAD, J. O. et al. Precision management of type 1 diabetes using population-level data and machine learning. Nature Communications, v. 12, p. 1-12, 2021.
FRANCESCHI, R. et al. A systematic review on the impact of commercially available hybrid closed loop systems on psychological outcomes in youths with type 1 diabetes and their parents. Diabetic Medicine, v. 40, e15099, 2023.
GĄSIOREK, M. R.; NIEDZIELA, M. D.; JAROSZ-CHOBOT, P. Personalization of
continuous glucose monitoring system for diabetic patients in the Polish market in 2024. Pediatric Endocrinology Diabetes and Metabolism, v. 31, n. 2, p. 75-79, 2025.
GIANINI, C. et al. Patient-reported outcome measures (PROMs) in youth with type 1 diabetes using advanced technologies. Diabetes Research and Clinical Practice, v. 186, p. 109-118, 2022.
GIOVANNETTI, G. et al. Advanced Hybrid Closed-Loop Systems and the Transition to Time in Tight Range (TITR). Diabetes Care, v. 49, n. 1, p. 22-30, 2025.
GÓMEZ, P. R. V. et al. Impact of Flash Glucose Monitoring on the Fear of Hypoglycemia Phenomenon in Adults with Type 1 Diabetes. Diabetes Technology & Therapeutics, v. 26, n. 7, 2024.
GRUNBERGER, G. et al. American Association of Clinical Endocrinology Clinical Practice Guideline: The Use of Advanced Technology in the Management of Persons With Diabetes Mellitus. Endocrine Practice, v. 27, p. 505-537, 2021.
HALLIDAY, S. et al. Positive well-being and reduced diabetes distress after 6 months of hybrid closed-loop therapy. Diabetes Care, v. 47, n. 4, p. 550-560, 2024.
HOHENDORFF, J. et al. Real-world use of Flash Glucose Monitoring: scan frequency and its impact on glycemic control. Scientific Reports, v. 11, n. 1, p. 1-9, 2021.
HOLT, R. I. G. et al. The management of type 1 diabetes in adults. A consensus report by the ADA and EASD. Diabetes Care, v. 44, n. 11, p. 2589-2625, 2021.
HUGHES, M. S. et al. Psychosocial factors and technology adoption in special populations with type 1 diabetes. Current Diabetes Reports, v. 25, n. 2, p. 89-101, 2025.
KANOUSE, J. et al. Individualized approach to HbA1c reduction using CGM in high-risk populations. The Lancet Diabetes & Endocrinology, v. 13, n. 2, p. 104-115, 2025.
KOGAI, et al. Change of CGM metrics of MiniMed 770G. Journal of Diabetes Investigation, v. 16, n. 2, p. 326-333, 2025.
KULZER, B. et al. Patch Pumps: What are the advantages for people with diabetes? Diabetes Research and Clinical Practice, v. 187, 109858, 2022.
LAWTON, J. et al. What training and support do people need to make optimal use of automated insulin delivery systems: Interview study. Diabetic Medicine, v. 42, e70153, 2025.
LIARAKOS, A. L.; CRABTREE, T. S. J.; WILMOT, E. G. Patient-reported outcomes in studies of diabetes technology: What matters. Diabetes Obesity and Metabolism, v. 26, n. Supplement 7, p. 59-73, 2024.
LITWAK, L. et al. Next-generation CGM: Accuracy and clinical impact. Diabetes Therapy, v. 15, n. 5, p. 987-1002, 2024.
LUNATI, M. E. et al. Hybrid Closed-Loop System vs. Predictive Low-Glucose Suspend: A Comparative Real-World Study. Diabetes Technology & Therapeutics, v. 24, n. 12, p. 890-899, 2022.
LUNDGRIN, S. et al. Innovations in Diabetes Technology: 2025 Review. New England Journal of Medicine (NEJM) Trends, v. 12, p. 45-58, 2025.
LUNDGRIN, et al. Artificial Pancreas Systems. The Journal of Clinical Endocrinology & Metabolism, v. 110, Supplement 2, S165-S174, 2025.
MANJELIEVSKAIA, J. et al. Retrospective analysis of impact of automated insulin delivery technology on acute care utilisation from 2019 to 2021. Diabetic Medicine, v. 42, e70147, 2025.
MELO, K. F. S.; ALMEIDA-PITITTO, B.; PEDROSA, H. C. Tratamento do Diabetes
Mellitus Tipo 1 no SUS. Diretriz Oficial da Sociedade Brasileira de Diabetes, 2023.
MESA DÍAZ, J. et al. Fear of hypoglycemia and its link to quality of life: a 2025 update. Diabetes and Metabolism, v. 51, n. 1, p. 12-24, 2025.
NATALE, P. et al. Qualitative experiences with CGM and pump therapy: a systematic review. BMJ Open Diabetes Research & Care, v. 11, n. 2, e00321, 2023.
PUJANTE ALARCÓN, C. et al. Bolus calculators vs. Automated Hybrid Systems: A sequential study. Clinical Therapeutics, v. 47, n. 3, p. 289-301, 2025.
PYATAK, E. A. et al. Resilient, Empowered, Active Living with Diabetes – Telehealth (REAL-T) Study: A randomized controlled trial for young adults with type 1 diabetes. Diabetes Research and Clinical Practice, 2025.
RODRÍGUEZ DE VERA GÓMEZ, I. et al. Flash Glucose Monitoring and Fear of Hypoglycemia: A Real-World Study. Sensors, v. 24, n. 4, p. 1102-1115, 2024.
RUISSEN, M. M. et al. The POWER2DM system for shared decision-making: A randomized controlled trial. Diabetes, Obesity and Metabolism, v. 25, n. 8, p. 2101-2110, 2023.
SCHOELWER, M. J. et al. Technology as the Standard of Care in Pediatric Type 1 Diabetes. Pediatric Clinics of North America, v. 71, n. 1, p. 15-30, 2024.
SENCE STUDY GROUP. Continuous Glucose Monitoring in toddlers and young children with type 1 diabetes. Diabetes Technology & Therapeutics, v. 23, n. 11, p. 789-798, 2021.
SENCE STUDY GROUP. A Randomized Clinical Trial Assessing Continuous Glucose Monitoring (CGM) Use With Standardized Education... Diabetes Care, v. 44, p. 464-472, 2021.
SCHOELWER, M. J. et al. Predictors of time-in-range (70-180 mg/dL) achieved using a closed-loop control system. Diabetologia, v. 67, p. 2075-2084, 2024.
SOCIEDADE BRASILEIRA DE DIABETES. Diretrizes da Sociedade Brasileira de Diabetes 2024. São Paulo: SBD, 2024.
SUÁREZ-AYALA, D. V. et al. Monitoreo Continuo de Glucosa. ¿Qué evidencia tenemos en pediatría? Andes Pediátrica, v. 92, n. 4, p. 617-625, 2021.
SUTTIRATANA, S. C. et al. User experience with open-source automated insulin delivery (Loop). Journal of Diabetes Science and Technology, v. 16, n. 3, p. 540-552, 2022.
WASSERMAN, R. et al. Elevated diabetes distress and depressive symptoms in youth with type 1 diabetes. Canadian Journal of Diabetes, 2021.
WILLIAM, J.; MCCLUSKEY, J.; GLEESON, N. RT-CGM in conjunction with CSII
vs MDI in optimizing glycaemic control in T1DM: Systemic review and meta-analysis. Endocrinology Diabetes and Metabolism, v. 5, e00324, 2022.
WILLIAMS, A. et al. Empowerment of adolescents via CGM: A longitudinal study.
Child: Care, Health and Development, v. 49, n. 2, p. 201-212, 2023.
XIONG, X. et al. Personalized prediction of glycemic response using sensor data.
IEEE Journal of Biomedical and Health Informatics, v. 28, n. 4, p. 1450-1461, 2024.
YEŞIL, F.; ÖZÇELIK, Ç. Ç. Effect of Wearable Technology on Metabolic Control and the Quality of Life in Children and Adolescents with Type 1 Diabetes: A Systematic Review and Meta-Analysis. Balkan Medical Journal, v. 41, n. 4, p. 261-271, 2025.

