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Type 2 diabetes mellitus (T2DM) represents a significant global health burden, necessitating innovative therapeutic approaches. Recent research has increasingly recognized the role of gut microbiota modulation in T2DM management, offering promising avenues for intervention. This systematic review synthesizes current literature investigating the impact of modulating gut microbiota on T2DM management. A comprehensive search of databases yielded studies examining various strategies, including probiotics, prebiotics, dietary interventions, and facal microbiota transplantation. Analysis of these interventions revealed their potential to improve glycemic control, insulin sensitivity, and inflammation markers in individuals with T2DM. Mechanistic insights elucidate how gut microbiota modulation influences metabolic pathways, immune function, and gut barrier integrity, thereby contributing to T2DM pathophysiology. Furthermore, studies highlight the interplay between gut microbiota composition and host factors such as diet, lifestyle, and genetics, underscoring the complexity of this relationship. Modulating gut microbiota presents a promising therapeutic approach in T2DM management, with potential benefits in glycemic control and metabolic health. However, further research is warranted to optimize intervention strategies, elucidate mechanistic pathways, and explore long-term effects. The aim of this review was to underscores the importance of considering gut microbiota modulation as a complementary approach in the multifaceted management of T2DM.
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There is no safe and effective prevention for insulin-dependent diabetes (IDDM) mellitus, which makes it highly dependent on its treatment. This systematic review with meta-analyses of randomized clinical trials investigated the overall effects of dietary supplements of vitamins, minerals, trace elements, and non-essential compounds with antioxidant properties, fatty acids, and amino acids in IDDM. Searches of MEDLINE, Embase, CENTRAL, LILACS, The Grey Literature Report, and ClinicaTrials.gov, and citations from previous reviews were used to identify reports published through July 2023. The Risk of Bias 2 (RoB2) tool was used to analyze the risk of bias and GRADE was used to assess the quality of the results. Fifty-eight studies (n=3,044) were included in qualitative analyses and seventeen (n=723) in meta-analyses. Qualitative analyses showed few positive effects on some metabolic function markers, such as endothelial and renal function and lipid profile. Meta-analyses showed a positive effect of omega-3 on glycated hemoglobin (HbA1c) (RMD=-0.33; 95%CI: -0.53, -0.12, P=0.002; I2=0%; GRADE: low quality; 4 studies) and of vitamin D on fasting C-peptide (FCP) (RMD=0.05; 95%CI: 0.01, 0.9, P=0.023; I2=0%; GRADE: very low quality; 4 studies). Most studies showed bias concern or high risk of bias. A recommendation for dietary supplementation in IDDM cannot be made because of the few positive results within different interventions and markers, the serious risk of bias in the included studies, and the low quality of evidence from meta-analyses. The positive result of vitamin D on FCP is preliminary, requiring further investigation.
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SUMMARY: This study assessed the effects of Acacia Senegal (AS) combined with insulin on Na+/K+-ATPase (NKA) activity and mRNA expression, serum glucose, renal function, and oxidative stress in a rat model of diabetic nephropathy (DN). Sixty rats were equally divided into six groups: normal control, normal+AS, diabetic (DM), DM+insulin, DM+AS, and DM+insulin+AS groups. Diabetes mellitus (type 1) was induced by a single injection of streptozotocin (65 mg/kg), and insulin and AS treatments were carried until rats were culled at the end of week 12. Serum glucose and creatinine levels, hemoglobin A1c (HbA1c) were measured. Renal homogenate levels of NKA activity and gene expression, malondialdehyde, superoxide dismutase (SOD), catalase and reduced glutathione (GSH) were evaluated as well as kidney tissue histology and ultrastructure. Diabetes caused glomerular damage and modulation of blood and tissue levels of creatinine, glucose, HbA1c, malondialdehyde, NKA activity and gene expression, SOD, catalase and GSH, which were significantly (p<0.05) treated with AS, insulin, and insulin plus AS. However, AS+insulin treatments were more effective. In conclusion, combined administration of AS with insulin to rats with DN decreased NKA activity and gene expression as well as oxidative stress, and improved glycemic state and renal structure and function.
Este estudio evaluó los efectos de Acacia senegal (AS) combinada con insulina sobre la actividad Na+/K+- ATPasa (NKA) y la expresión de ARNm, la glucosa sérica, la función renal y el estrés oxidativo en un modelo de nefropatía diabética (ND) en ratas. Sesenta ratas se dividieron equitativamente en seis grupos: control normal, normal+AS, diabética (DM), DM+insulina, DM+AS y DM+insulina+AS. La diabetes mellitus (tipo 1) se indujo mediante una única inyección de estreptozotocina (65 mg/kg), y los tratamientos con insulina y AS se llevaron a cabo hasta que las ratas fueron sacrificadas al final de la semana 12. Se midieron niveles séricos de glucosa y creatinina, hemoglobina A1c (HbA1c). Se evaluaron los niveles de homogeneizado renal de actividad NKA y expresión génica, malondialdehído, superóxido dismutasa (SOD), catalasa y glutatión reducido (GSH), así como la histología y ultraestructura del tejido renal. La diabetes causó daño glomerular y modulación de los niveles sanguíneos y tisulares de creatinina, glucosa, HbA1c, malondialdehído, actividad y expresión génica de NKA, SOD, catalasa y GSH, los cuales fueron tratados significativamente (p<0,05) con AS, insulina e insulina más AS. Sin embargo, los tratamientos con AS+insulina fueron más efectivos. En conclusión, la administración combinada de AS con insulina a ratas con DN disminuyó la actividad de NKA y la expresión genética, así como el estrés oxidativo, y mejoró el estado glucémico y la estructura y función renal.
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Animaux , Mâle , Rats , Extraits de plantes/administration et posologie , Sodium-Potassium-Exchanging ATPase/effets des médicaments et des substances chimiques , Néphropathies diabétiques/traitement médicamenteux , Acacia/composition chimique , Superoxide dismutase , Hémoglobine glyquée/analyse , Extraits de plantes/pharmacologie , Expression des gènes , Rat Sprague-Dawley , Sodium-Potassium-Exchanging ATPase/génétique , Stress oxydatif , Microscopie électronique à transmission , Modèles animaux de maladie humaine , Association de médicaments , Régulation de la glycémie , Insuline/administration et posologie , Rein/effets des médicaments et des substances chimiques , MalonaldéhydeRÉSUMÉ
Objective:To investigate the effect of blood glucose control on the imaging severity and clinical symptoms of facet joint osteoarthritis (FJOA) in patients with type 2 diabetes mellitus (T2DM).Methods:A total of 286 patients with lumbar degenerative diseases who were diagnosed and treated in the Department of Spinal Surgery of the Third Affiliated Hospital of Sun Yat-sen University from December 2021 to December 2022 were retrospectively collected. Patients were divided into diabetic and non-diabetic groups according to whether T2DM was diagnosed at admission. Age, gender, presence of hypertension, and body mass index (BMI) were recorded. The duration of diabetes was recorded. Fasting blood glucose and peak postprandial blood glucose were monitored for 3 consecutive days. Plasma glucose and glycosylated hemoglobin were assessed by blood biochemical results. Diabetic patients were divided into three sub-groups according to fasting blood glucose and glycosylated hemoglobin levels (HbA1c): ideal blood glucose control (HbA1c<6.5% and fasting blood glucose<6.1 mmol/L), good (6.5%≤HbA1c≤7.5% or 6.1 mmol/L≤fasting blood glucose≤7.0 mmol/L), and poor (HbA1c>7.5% and fasting blood glucose>7.0 mmol/L). Visual analogue scale (VAS) was used to assess the degree of low back pain. Pathria grading system was used to assess the severity of FJOA at different levels of the lumbar spine on lumbar CT. Mann-whitney U test was used to compare the difference of FJOA between L 1-S 1 segments in diabetic and non-diabetic patients. Logistic regression was used to analyze the effect of diabetes on FJOA. Kruskal-Wallis test was used to compare the difference of FJOA between different segments in diabetic patients among different sub-groups. Logistic regression was used to analyze the effect of blood glucose control on FJOA. Results:A total of 121 patients in the diabetic group and 165 patients in the non-diabetic group were included. L 4, 5 FJOA grade 3(2, 3) in diabetic patients was greater than grade 2(1, 3) in non-diabetic patients with significant difference ( Z=-3.179, P=0.001), and diabetes was an independent risk factor for L 4, 5 FJOA [ OR=1.767, 95% CI(1.032, 3.025), P=0.038]. There was no significant difference in age, BMI, sex ratio, prevalence of hypertension and blood glucose fluctuation values among different subgroups of glycemic control in the diabetic group. Patients in the poor glucose group had higher FJOA grades 2(1, 2), 3(3, 3) and 3(2, 4) at L 1, 2, L 4, 5 and L 5S 1 than those in the ideal glucose group at grades 1(1, 2), 2(1.5, 3) and 2(1, 2) with significant differences ( H=9.530, P=0.009; H=18.248, P<0.001; H=27.916, P<0.001). Patients in the poor glucose group had higher grades 3(3, 3) and 3(2, 4) of osteoarthritis of the L 4, 5 and L 5S 1 facet joints than those in the good glucose group, grades 3(2, 3) and 2(1, 2) with significant differences ( H=18.248, P<0.001; H=27.916, P<0.001). Low back pain was positively correlated with poor glycemic control, L 4, 5 and L 5S 1 FJOA ( r=0.512, P<0.001; r=0.383, P<0.001; r=0.484, P<0.001). Poor glycemic control was an independent risk factor for FJOA at L 4, 5 and L 5S 1 [ OR=4.963, 95% CI (1.095, 22.496), P=0.038; OR=6.010, 95% CI(1.061, 34.049), P=0.043]. Conclusion:Compared with non-diabetic patients, patients with type 2 diabetes have a higher risk of osteoarthritis in the facet joints of L 4, 5. Compared with diabetic patients with good or ideal glycemic control. Patients with poor glycemic control had more severe osteoarthritis of the L 4, 5 and L 5S 1 facet joints. Patients with severe facet joint degeneration and poor glycemic control often suffered more from severe low back pain.
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ABSTRACT Objective: To perform a systematic review of randomized controlled trials, evaluating the effect of probiotics, prebiotics or symbiotics supplementation on glycemic and inflammatory control in children with Type 1 Diabetes Mellitus (T1DM). Data source: The Medical Literature Analysis and Retrieval System Online (MEDLINE/PubMed), Clinical Trials, Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS) and Scientific Electronic Library Online (SciELO) databases were searched. Randomized clinical trials of pediatric patients with DM1 using probiotics, prebiotics or symbiotics were included, regardless of year or language of publication. Studies that did not evaluate glycated hemoglobin (HbA1c) were excluded. Metabolic results (HbA1c, total insulin dose and C-peptide) and inflammatory control [interleukin-10 (IL-10), tumor necrosis factor-alpha (TNF-α) and interferon-gamma (IFN-γ)] during probiotic supplementation or similar, related to modification of the intestinal microbiota, were analyzed. PROSPERO ID: CRD42022384485. Data synthesis: Five studies were selected for a systematic review. Regarding metabolic markers, only one of the articles that analyzed HbA1c showed a significant decrease (p=0.03) in the intervention group. One study identified a reduction in the total dose of insulin and increased C-peptide levels. Regarding the evaluation of inflammatory parameters (IL-10, TNF-α, INF-γ), there were no statistical relevant modifications. Conclusions: Current data from the literature were not conclusive in identifying an improvement in glycemic control and did not observe changes in inflammatory parameters with the use of probiotics, prebiotics or symbiotics in pediatric patients with T1DM.
RESUMO Objetivo: Realizar uma revisão sistemática de ensaios clínicos randomizados controlados avaliando o efeito da suplementação de probióticos, prebióticos ou simbióticos no controle glicêmico e inflamatório em crianças com diabetes mellitus tipo 1 (DM1). Fontes de dados: As bases Medical Literature Analysis and Retrieval System Online (MEDLINE/PubMed), Clinical Trials, Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS) e Scientific Electronic Library Online (SciELO) foram pesquisadas. Foram incluídos ensaios clínicos randomizados de pacientes pediátricos com DM1 em uso de probióticos, prebióticos ou simbióticos, independentemente de ano ou idioma de publicação. Foram excluídos os trabalhos que não avaliaram hemoglobina glicada (HbA1c). Os resultados metabólicos (HbA1c, dose de insulina total e peptídeo C) e o controle inflamatório [interleucina-10 — IL-10), fator de necrose tumoral-alfa (TNF-α) e interferon-gama (IFN-γ)] durante a suplementação de probióticos ou similares, relacionados à modificação da microbiota intestinal, foram analisados. ID PROSPERO: CRD42022384485. Síntese dos dados: Cinco estudos foram selecionados para revisão sistemática. Com relação aos marcadores metabólicos, apenas um dos artigos que analisaram a HbA1c apresentou diminuição significativa (p=0,03) no grupo intervenção. Um estudo identificou redução da dose total de insulina e aumento dos níveis de peptídeo C. Quanto à avaliação dos parâmetros inflamatórios (IL-10, TNF-α, INF-γ), não houve modificações de relevância estatística. Conclusões: Os dados atuais da literatura não foram conclusivos em identificar melhora no controle glicêmico e não observaram mudanças nos parâmetros inflamatórios com o uso de probióticos, prebióticos ou simbióticos em pacientes pediátricos com DM1.
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RESUMO: Objetivo: Desenvolver protocolo de cuidados de enfermagem para monitorização glicêmica de pessoas com Diabetes Mellitus tipo 2, hospitalizadas. Método: Pesquisa metodológica desenvolvida em 2021 e 2022 em Manaus/AM, Brasil, em três fases: 1) Fase teórica: revisão da literatura, busca em consensos, construção de quadros analíticos, seleção dos conteúdos; 2) Fase de construção do protocolo; 3) Fase de Avaliação do protocolo realizada por enfermeiros em relação à clareza, relevância e aplicabilidade. Resultados: Revisão da literatura obteve 15 artigos e cinco consensos de sociedades científicas. O protocolo está composto por 11 itens, ressaltando a identificação de fatores de risco; manifestações de hiperglicemia e hipoglicemia; cuidados de enfermagem; processo de enfermagem e fluxograma. A avaliação dos enfermeiros foi favorável obtendo IVC de 1,0 em relação à clareza e relevância e considerado aplicável. Conclusão: O protocolo subsidiará a assistência de enfermagem na monitorização glicêmica, possibilitando melhor controle da glicemia de pessoas com diabetes hospitalizadas.
ABSTRACT Objective: Developing a nursing care protocol for glycemic monitoring of hospitalized individuals with Type 2 Diabetes Mellitus. Method: Methodological research conducted in 2021 and 2022 in Manaus, state of Amazonas, Brazil, in three phases: 1) Theoretical phase: literature review, consensus search, development of analytical frameworks, content selection. 2) Protocol development phase. 3) Protocol evaluation phase conducted by nurses regarding clarity, relevance, and applicability. Results: The literature review yielded 15 articles and five consensus statements from scientific societies. The protocol consists of 11 items, with an emphasis on the identification of risk factors, manifestations of hyperglycemia and hypoglycemia, nursing care, the nursing process, and a flowchart. The nurses' evaluation was favorable, achieving an CVI of 1.0 regarding clarity and relevance, and it was considered applicable. Conclusion: The protocol will support nursing care in glycemic monitoring, enabling better glycemic control for hospitalized individuals with diabetes.
RESUMEN: Objetivo: Desarrollar un protocolo de atención de enfermería para el monitoreo glucémico de personas hospitalizadas con Diabetes Mellitus tipo 2. Método: Investigación metodológica desarrollada en 2021 y 2022 en Manaos/AM, Brasil, en tres fases: 1) Fase teórica: revisión de la literatura, búsqueda de consenso, elaboración de cuadros analíticos, selección de contenidos; 2) Fase de elaboración del protocolo; 3) Fase de evaluación del protocolo realizada por enfermeros sobre la claridad, relevancia y aplicabilidad. Resultados: La revisión de la literatura obtuvo 15 artículos y cinco consensos de sociedades científicas. El protocolo consta de 11 ítems, que destacan la identificación de factores de riesgo; manifestaciones de hiperglucemia e hipoglucemia; cuidados de enfermería; proceso de enfermería y diagrama de flujo. La evaluación de los enfermeros fue favorable, se obtuvo un IVC de 1,0 para la claridad y relevancia y se consideró aplicable. Conclusión: El protocolo ayudará en los cuidados de enfermería para el monitoreo glucémico, permitiendo un mejor control de la glucemia en personas hospitalizadas con diabetes.
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Diabète , Régulation de la glycémieRÉSUMÉ
ABSTRACT Objective. To evaluate whether use of a culturally adapted mobile application (app) for adolescents with type 1 diabetes is associated with improved metabolic control. Methods. The Dominican Republic's National Institute of Diabetes, Endocrinology, and Nutrition and the Learning to Live clinic recruited 23 pediatric participants for the study. Blood tests were performed before and after use of the app for a period of 3 months. Based on the user profile, participants were encouraged to use the app's bolus insulin calculator after each meal. The app included a list of regionally and culturally specific foods, color-coded to indicate a high glycemic index (GI) as red; medium GI as yellow; and low GI as green. The color-coding was designed to assist participants in making healthier eating choices. Results. There were statistically significant improvements in lipid profile. Mean high-density lipoprotein values rose to acceptable levels, while low-density lipoproteins and triglyceride levels fell to the recommended values. The overall quality of life increased, although glycated hemoglobin levels showed no statistically significant changes. Conclusion. The findings of this study suggest that using this culturally tailored app can help young patients with type 1 diabetes to improve metabolic health.
RESUMEN Objetivo. Evaluar si el uso de una aplicación móvil (app) para adolescentes con diabetes tipo 1, adaptada desde el punto de vista cultural, se asocia a una mejora del control metabólico. Métodos. El Instituto Nacional de Diabetes, Endocrinología y Nutrición de República Dominicana y Learning to Live Clinic reclutaron a 23 participantes pediátricos para el estudio. Se realizaron análisis de sangre antes y después de utilizar la aplicación durante un período de 3 meses. En función del perfil de usuario, se alentó a los participantes a utilizar la calculadora del bolo de insulina de la aplicación después de cada comida. La aplicación incluía una lista de alimentos propios de la región y la cultura, codificados por colores para indicar un índice glucémico (IG) alto (rojo), medio (amarillo) o bajo (verde). El código de colores se diseñó para ayudar a los participantes a adoptar opciones de alimentación más saludables. Resultados. Se observaron mejoras estadísticamente significativas en el perfil lipídico. Los valores medios de las lipoproteínas de alta densidad aumentaron hasta niveles aceptables, mientras que los niveles de las lipoproteínas de baja densidad y los triglicéridos descendieron hasta los valores recomendados. Se observó una mejora en la calidad de vida general, si bien no se observaron cambios estadísticamente significativos en los niveles de hemoglobina glucosilada. Conclusiones. Los resultados de este estudio sugieren que el uso de esta aplicación adaptada desde el punto de vista cultural puede ayudar a los pacientes jóvenes con diabetes mellitus tipo 1 a mejorar su salud metabólica.
RESUMO Objetivo. Avaliar se o uso de um aplicativo móvel culturalmente adaptado para adolescentes com diabetes tipo 1 está associado a um melhor controle metabólico. Métodos. O Instituto Nacional de Diabetes, Endocrinologia e Nutrição da República Dominicana e a clínica Learning to Live recrutaram 23 participantes pediátricos para o estudo. Foram realizados exames de sangue antes e depois do uso do aplicativo por um período de 3 meses. Com base no perfil de usuário, os participantes foram incentivados a usar a calculadora de bolus de insulina do aplicativo após cada refeição. O aplicativo incluía uma lista de alimentos específicos da região e da cultura, codificados por cores para indicar índices glicêmicos (IG) altos em vermelho; IG médios em amarelo; e IG baixos em verde. O código de cores foi criado para ajudar os participantes a fazer escolhas alimentares mais saudáveis. Resultados. Houve melhoras estatisticamente significantes no perfil lipídico. Os valores médios de lipoproteínas de alta densidade subiram para níveis aceitáveis, e os níveis de lipoproteínas de baixa densidade e de triglicerídeos caíram para os valores recomendados. A qualidade de vida geral aumentou, embora os níveis de hemoglobina glicada não tenham apresentado alterações estatisticamente significantes. Conclusão. Os resultados deste estudo sugerem que o uso desse aplicativo culturalmente adaptado pode ajudar pacientes jovens com diabetes tipo 1 a melhorar sua saúde metabólica.
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Glycemic control in diabetes has shown to improve insulin sensitivity and reduce both microvascular and microvascular complications in diabetes mellitus. In 2020, with the globe facing COVID-19 pandemic the governments and authorities resorted to lockdowns to reduce the spread of infection. We aimed to find the impact of lockdowns during COVID-19 pandemic on glycaemic control of adults suffering with type 2 diabetes mellitus. (T2DM). We systematically searched 5 medical databases MEDLINE via PubMed, Embase, CINAHL, web of science and Cochrane library up to 16th November 2021 using key terms. Total of 24899 articles were identified by the search, of which 17571 articles were excluded for duplication, 7303 were excluded after screening for title and abstract, and further 16 articles excluded after full text review. We analyzed the final 9 observational studies fulfilling the criteria. There are 2177 participants from final 9 observational studies, 5 studies showed worsening glycemic control during lockdown period, 2 reported improvement and 2 showed no significant change. We noticed that weight was correlating with glycated hemoglobin change. Studies with lockdown period >10weeks reported greater HbA1c deterioration and farther HbA1c when done from start of lockdown, the higher HbA1c values noticed. Glycemic control overall in type 2 diabetes has worsened due to lockdown measures which may be due to reduced physical activity, change in diet or psychosocial changes. There has also been increase in BMI (Body Mass Index) correlating with raise in HbA1c. More in-depth review is required into long term impact of lockdowns on diabetes.
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ABSTRACT Objective: The optimal target for blood glucose concentration in critically ill patients is unclear. We will perform a systematic review and meta-analysis with aggregated and individual patient data from randomized controlled trials, comparing intensive glucose control with liberal glucose control in critically ill adults. Data sources: MEDLINE®, Embase, the Cochrane Central Register of Clinical Trials, and clinical trials registries (World Health Organization, clinical trials.gov). The authors of eligible trials will be invited to provide individual patient data. Published trial-level data from eligible trials that are not at high risk of bias will be included in an aggregated data meta-analysis if individual patient data are not available. Methods: Inclusion criteria: randomized controlled trials that recruited adult patients, targeting a blood glucose of ≤ 120mg/dL (≤ 6.6mmol/L) compared to a higher blood glucose concentration target using intravenous insulin in both groups. Excluded studies: those with an upper limit blood glucose target in the intervention group of > 120mg/dL (> 6.6mmol/L), or where intensive glucose control was only performed in the intraoperative period, and those where loss to follow-up exceeded 10% by hospital discharge. Primary endpoint: In-hospital mortality during index hospital admission. Secondary endpoints: mortality and survival at other timepoints, duration of invasive mechanical ventilation, vasoactive agents, and renal replacement therapy. A random effect Bayesian meta-analysis and hierarchical Bayesian models for individual patient data will be used. Discussion: This systematic review with aggregate and individual patient data will address the clinical question, 'what is the best blood glucose target for critically ill patients overall?' Protocol version 0.4 - 06/26/2023 PROSPERO registration: CRD42021278869
RESUMO Objetivo: Não está claro qual é a meta ideal de concentração de glicose no sangue em pacientes em estado grave. Realizaremos uma revisão sistemática e uma metanálise com dados agregados e de pacientes individuais de estudos controlados e randomizados, comparando o controle intensivo da glicose com o controle liberal da glicose em adultos em estado grave. Fontes de dados: MEDLINE®, Embase, Cochrane Central Register of Clinical Trials e registros de ensaios clínicos (Organização Mundial da Saúde, clinical trials.gov). Os autores dos estudos qualificados serão convidados a fornecer dados individuais de pacientes. Os dados publicados em nível de ensaio qualificado que não apresentem alto risco de viés serão incluídos em uma metanálise de dados agregados se os dados individuais de pacientes não estiverem disponíveis. Métodos: Critérios de inclusão: ensaios clínicos controlados e randomizados que recrutaram pacientes adultos, com meta de glicemia ≤ 120mg/dL (≤ 6,6mmol/L) comparada a uma meta de concentração de glicemia mais alta com insulina intravenosa em ambos os grupos. Estudos excluídos: aqueles com meta de glicemia no limite superior no grupo de intervenção > 120mg/dL (> 6,6mmol/L), ou em que o controle intensivo de glicose foi realizado apenas no período intraoperatório, e aqueles em que a perda de seguimento excedeu 10% até a alta hospitalar. Desfecho primário: Mortalidade intra-hospitalar durante a admissão hospitalar. Desfechos secundários: Mortalidade e sobrevida em outros momentos, duração da ventilação mecânica invasiva, agentes vasoativos e terapia de substituição renal. Utilizaremos metanálise bayesiana de efeito randômico e modelos bayesianos hierárquicos para dados individuais de pacientes. Discussão: Essa revisão sistemática com dados agregados e de pacientes individuais abordará a questão clínica: Qual é a melhor meta de glicose no sangue de pacientes graves em geral? Protocolo versão 0.4 - 26/06/2023 Registro PROSPERO: CRD42021278869
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Objetivo: analizar la correlación entre el tiempo en rango y la hemoglobina glicosilada de personas que viven con diabetes mellitus y realizan la monitorización continua de la glucemia o el automonitoreo de la glucemia capilar Método: revisión sistemática de etiología y riesgo basada en las directrices del JBI e informada según los Preferred Reporting Items for Systematic Reviews and Meta-Analyses, abarcando seis bases de datos y la literatura gris. La muestra incluyó 16 estudios y la calidad metodológica fue evaluada utilizando las herramientas del JBI. Protocolo registrado en Open Science Framework, disponible en https://doi.org/10.17605/OSF.IO/NKMZB. Resultados: tiempo en rango (70-180 mg/dl) mostró una correlación negativa con la hemoglobina glicosilada, mientras que el tiempo por encima del rango (>180 mg/dl) mostró una correlación positiva. Los coeficientes de correlación variaron entre -0,310 y -0,869 para el tiempo en rango, y entre 0,66 y 0,934 para el tiempo por encima del rango. Un estudio se realizó en una población que hacía el automonitoreo. Conclusión: hay una correlación estadísticamente significativa entre el tiempo en rango y el tiempo por encima del rango con la hemoglobina glicosilada. Cuanto mayor sea la proporción en el rango glucémico adecuado, más cerca o por debajo del 7% estará la hemoglobina glicosilada. Se necesitan más estudios que evalúen esta métrica con datos del automonitoreo de la glucemia.
Objective: to analyze the correlation between time on target and glycated hemoglobin in people living with diabetes mellitus and carrying out continuous blood glucose monitoring or self-monitoring of capillary blood glucose. Method: systematic review of etiology and risk based on JBI guidelines and reported according to Preferred Reporting Items for Systematic Reviews and Meta- Analyses, covering six databases and grey literature. The sample included 16 studies and methodological quality was assessed using JBI tools. Protocol registered in the Open Science Framework, available at https://doi.org/10.17605/OSF.IO/NKMZB. Results: time on target (70-180 mg/dl) showed a negative correlation with glycated hemoglobin, while time above target (>180 mg/dl) showed a positive correlation. Correlation coefficients ranged between -0.310 and -0.869 for time on target, and between 0.66 and 0.934 for time above target. A study was carried out on a population that performed self-monitoring. Conclusion: there is a statistically significant correlation between time on target and time above target with glycated hemoglobin. The higher the proportion in the adequate glycemic range, the closer to or less than 7% the glycated hemoglobin will be. More studies are needed to evaluate this metric with data from self-monitoring of blood glucose.
Objetivo: analisar a correlação entre o tempo no alvo e a hemoglobina glicada de pessoas que vivem com diabetes mellitus e realizam a monitorização contínua da glicemia ou a automonitorização da glicemia capilar. Método: revisão sistemática de etiologia e de risco pautada nas diretrizes do JBI e reportada conforme Preferred Reporting Items for Systematic Reviews and Meta-Analyses, abrangendo seis bases de dados e a literatura cinzenta. A amostra incluiu 16 estudos e a qualidade metodológica foi avaliada utilizando as ferramentas do JBI. Registrado protocolo no Open Science Framework, disponível em https://doi.org/10.17605/OSF.IO/NKMZB. Resultados: tempo no alvo (70-180 mg/dl) apresentou correlação negativa com a hemoglobina glicada, enquanto o tempo acima do alvo (>180 mg/dl) mostrou correlação positiva. Os coeficientes de correlação variaram entre -0,310 e -0,869 para o tempo no alvo, e entre 0,66 e 0,934 para o tempo acima do alvo. Um estudo foi efetuado com população que realizava a automonitorização. Conclusão: há correlação estatisticamente significativa entre o tempo no alvo e o tempo acima do alvo com a hemoglobina glicada. Quanto maior a proporção na faixa glicêmica adequada, mais próxima ou inferior a 7% estará a hemoglobina glicada. São necessários mais estudos que avaliem essa métrica com dados da automonitorização da glicemia.
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Humains , Glycémie , Hémoglobine glyquée , Autosurveillance glycémique , Diabète de type 2RÉSUMÉ
Background: Assessment of HRQOL (Health related quality of life) in clinical practice is important to determine the course of the disease, early recognition of problems and the type of insulin therapy that would be adequate to maintain satisfactory metabolic control with less impact on HRQOL in every patient.Methods: A cross-sectional analytical study was conducted in the tertiary care hospital in Kerala. All children抯 who aged 4-18 years with type 1 diabetes mellitus (DM) attending pediatric OPD in a tertiary care hospital in Kerala were included. The study period was 18 months. PedsQL diabetes module 3.0 (pediatric quality of life inventory 3.0 diabetes module) and PedsQL generic core module 4 (pediatric quality of life inventory 4.0 generic core scale) were used as tools.Results: The study population included 30 children with type 1 DM. The average duration of diabetes was 5.60�990 years. Based on HbA1c level, 16 [53.3%] children had well controlled diabetes and 14 [46.7%] had poorly controlled diabetes. Eighteen [80%] patients had complications in the form diabetic ketoacidosis or hypoglycemia in the past 1 year. Diabetes specific quality of life mean scores were [child report and parent proxy report] 88.4 and 85.9 for poorly controlled diabetes group and 94.4 and 93.0 for well controlled group respectively which showed a significant difference (p value 0.004). Children with better glycemic control also showed better generic score (p value-0.004).Conclusions: Metabolic control, measured by HbA1c value, was significantly associated with QoL in patients with diabetes. Good glycemic control is associated with better quality of life and less diabetes related symptoms.
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Background: The frequency of AITD (autoimmune thyroid disease) and prevalence of thyroid autoantibodies in T1DM (Type 1 diabetes mellitus) patients is much higher than in general paediatric population, varying widely between 3-50% and is often related to age, gender and ethnicity. Although this association has been well established in various populations, very few studies have been done in this regard in South India. The objectives of the study were to study the proportion of abnormal thyroid function and thyroid autoimmunity among T1DM subjects in comparison with general pediatric population and to compare the disease severity among T1DM subjects with and without abnormal thyroid function.Methods: The 45 subjects diagnosed with T1DM (Group 1) and 45 age and gender matched subjects without T1DM (Group 2) were enrolled after applying the inclusion and exclusion criteria. Serum free T3, free T4 and TSH levels were tested for all the subjects in both the groups. In addition, HbA1c levels and Anti TPO antibody titers were tested for subjects with T1DM.Results: Abnormal thyroid function was found in 15.5% of T1DM subjects, in contrast to 2.2% of subjects in the comparison group (p=0.026). The anti-TPO antibody titers were positive in 31.1% of T1DM subjects and among them 42.8% subjects had abnormal thyroid function. T1DM subjects with abnormal thyroid function had significantly higher number of hospitalizations (p<0.05) and total number of ICU admissions (p<0.05)Conclusions: Abnormal thyroid function (predominantly subclinical hypothyroidism) and thyroid autoimmunity was not only more prevalent among T1DM subjects, but was also associated with poor glycemic control. Thus, highlighting the need for screening and a lower threshold for treatment.
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La incidencia y prevalencia de la diabetes mellitus ha aumentado exponencialmente a nivel mundial en las últimas décadas. Los pacientes diabéticos presentan mayor probabilidad de sufrir graves complicaciones, en los procedimientos quirúrgicos en relación a la población general. El presente artículo tiene como objetivo, describir la repercusión del estado hiperglucémico perioperatorio en la etapa postoperatoria en pacientes diabéticos. Para el logro del objetivo planteado se realizó la consulta de diversas obras, que abarcan los resultados de investigación con diferentes modalidades relacionadas con la temática. Se pudo apreciar que la hiperglucemia perioperatoria se vincula con resultados adversos en pacientes a los que se les realiza cirugía general y que padecen diabetes mellitus, sin embargo, en los pacientes que se ha logrado control glicémico con terapia insulínica antes de la intervención, no presentaron mayor riesgo, que el que aparece en sujetos con buen control metabólico. La regulación de la glucosa en la etapa perioperatoria es un parámetro importante en el paciente diabético, que reduce considerablemente las complicaciones en los procedimientos quirúrgicos, las prolongadas estancias en las Unidades de Cuidados Intensivos, e incluso, la muerte.
The incidence and prevalence of diabetes mellitus has increased exponentially worldwide in recent decades. Diabetic patients are more likely to suffer serious complications in surgical procedures compared to the general population. The objective of this article is to describe the repercussion of the perioperative hyperglycemic state in the post-surgical stage in diabetic patients. In order to achieve the stated objective, various works were consulted, which include the results of research with different modalities related to the subject. It was possible to appreciate that perioperative hyperglycemia is associated with adverse results in general surgery patients with diabetes mellitus, however, in patients who have achieved glycemic control with insulin therapy before the intervention, they did not present a greater risk than that which appears in subjects with good metabolic control. Glucose regulation in the perioperative stage is an important parameter in diabetic patients, which considerably reduces complications in surgical procedures, long stays in Intensive Care Units, and even death.
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Background: Poor glycemic control is a major public health issue among patients with type 2 diabetes mellitus and a significant risk factor for the progression of diabetic complications. This study aimed to assess the magnitude and contributing factors of poor glycemic control among type 2 diabetes patients. Methods: A cross-sectional study was conducted among 150 type 2 diabetes patients a sample of 150 type 2 diabetics of both sexes was obtained diabetes in medicine OPD, any type 2 diabetes patient at the healthcare facilities over the age of 18 was eligible to participate in the study. Results: Of the 150 type 2 diabetes patients included in the study, 118 had poor glycemic control. Mean age was 59.67 (SD = 9.617) years; 115 (76.9%) of them were men. Most patients [n = 62 (41%)] used insulin or oral anti-diabetics as monotherapy [n = 32 (21%)] to regulate their blood sugar levels. The glycemic control got worse the longer the patient had diabetes, from 5 to 10 years (OR = 1.74) to more than 10 years (OR = 2.55), compared to patients with less than 5 years of illness. In comparison to patients with co-morbidity, patients without co-morbidity had significantly better glycemic control (OR=1.56). Conclusions: Gender, age, BMI, occupation, medical history, medication history, triglycerides, HDL, duration of diabetes, type and number of diabetes medications, and HbA1c were significantly associated. These factors can identify patients at risk of poor glycemic control, allowing targeted interventions for optimal outcomes. Adherence, physical activity, diabetes education, and training affect glycemic control, but this study did not.
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Background: Poor glycemic control is a major public health issue among patients with type 2 diabetes mellitus and a significant risk factor for the progression of diabetic complications. This study aimed to assess the magnitude and contributing factors of poor glycemic control among type 2 diabetes patients. Methods: A cross-sectional study was conducted among 150 type 2 diabetes patients a sample of 150 type 2 diabetics of both sexes was obtained diabetes in medicine OPD, any type 2 diabetes patient at the healthcare facilities over the age of 18 was eligible to participate in the study. Results: Of the 150 type 2 diabetes patients included in the study, 118 had poor glycemic control. Mean age was 59.67 (SD = 9.617) years; 115 (76.9%) of them were men. Most patients [n = 62 (41%)] used insulin or oral anti-diabetics as monotherapy [n = 32 (21%)] to regulate their blood sugar levels. The glycemic control got worse the longer the patient had diabetes, from 5 to 10 years (OR = 1.74) to more than 10 years (OR = 2.55), compared to patients with less than 5 years of illness. In comparison to patients with co-morbidity, patients without co-morbidity had significantly better glycemic control (OR=1.56). Conclusions: Gender, age, BMI, occupation, medical history, medication history, triglycerides, HDL, duration of diabetes, type and number of diabetes medications, and HbA1c were significantly associated. These factors can identify patients at risk of poor glycemic control, allowing targeted interventions for optimal outcomes. Adherence, physical activity, diabetes education, and training affect glycemic control, but this study did not.
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ABSTRACT Objective: The objective of this study was to verify the impact of carbohydrate counting (CC) on glycemic control and body weight variation (primary and secondary outcomes, respectively) between consultations in patients with diabetes mellitus (T1D) followed at a tertiary hospital in southern Brazil in a public health system environment. We also sought to investigate CC adherence. Materials and methods: This retrospective cohort study included 232 patients with T1D who underwent nutritional monitoring at a referral hospital for diabetes care between 2014 and 2018. To assess primary and secondary outcomes, data from 229 patients, 49 of whom underwent CC during this period and 180 individuals who used fixed doses of insulin, were analyzed. The impact of CC on glycemic control was assessed with the mean glycated hemoglobin (HbA1c) level at all consultations during the follow-up period. Results: In the model adjusted for the most confounders (except pregnancy), the mean HbA1c was better in the CC group (8.66 ± 0.4% vs. 9.36 ± 0.39%; p = 0.016), and body weight variation was lower (0.13 ± 0.28 kg vs. 0.53 ± 0.24 kg; p = 0.024). Adherence to CC was reported in 69.2% of consultations. Conclusion: CC optimized the glycemic control of individuals with T1D, resulting in less weight variation than in the fixed insulin dose group, which indicates that CC is an important care strategy for these patients.
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ABSTRACT Objectives: To evaluate the alternate use of flash glucose monitoring (FGM) with self-monitoring blood glucose (SMBG), in patients with type 1 diabetes (T1D). Materials and methods: Two weeks of open FGM (P2), both preceded (P1) and followed by 2 weeks (P3) of SMBG with a blinded FGM system. Mean absolute relative difference (MARD) was calculated by (-FGMi − SMBGi-) / SMBGi, where it was a paired data sample. Results: In total, 34 patients were evaluated. Time in range (TIR) did not change between P1 and P2. In 12 patients (35.3%), TIR increased from 40% at P1 to 52% at P2 (p = 0.002) and in 22 (64.7%), TIR decreased or did not change. FGM use resulted in decreased % time spent in hypoglycemia (<70 mg/dL) (6.5% vs. 5.0%; p = 0.005), increased % time spent in hyperglycemia (>180 mg/dL) (44.5% to 51%; p = 0.046) with no significant change in % TIR. The proportion of patients who reached sensor-estimated glycated hemoglobin (eA1c) < 7% decreased from 23.5% at P1 to 12.9% at P2, p = 0.028. For the whole sample, the MARD between the two methods was 15.5% (95% CI 14.5-16.6%). For normal glucose range, hyperglycemic levels and hypoglycemic levels MARD were 16.0% (95% CI 15.0-17.0%), 13.3% (95% CI 11.5-15.2%) and 23.4% [95% CI 20.5-26.3%)], respectively. Conclusion: FGM after usual SMBG decreased the % time spent in hypoglycemia concomitant with an undesired increase in % time spent in hyperglycemia. Lower accuracy of FGM regarding hypoglycemia levels could result in overcorrection of hypoglycemia.
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Objetivo: Analisar a relação entre os níveis de adesão às recomendações de boas práticas em insulinoterapia e as métricas de controle glicêmico em pacientes com diabetes mellitus. Métodos: Estudo descritivo, transversal e quantitativo, realizado com 102 pacientes com diabetes mellitus. A coleta de dados ocorreu por meio de entrevista semiestruturada e, em caráter complementar, com dados obtidos dos prontuários. Aplicaram-se quatro instrumentos de coleta: I) formulário de caracterização sociodemográfica e clínica, II) recordatório de orientações sobre insulinoterapia, III) folha de registro da automonitorização da glicemia capilar e IV) formulário de registro das métricas de avaliação do controle glicêmico. Resultados: Houve associação estatística significativa entre nível de não adesão (100%) às recomendações em insulinoterapia e tempo no alvo estimado ≤ 70%, assim como entre 80% de não adesão e desvio padrão ≥ 50 mg/dl. Conclusão: Esses achados validam que a não adesão às recomendações de boas práticas de insulinoterapia contribui para o descontrole glicêmico.
Objective: To analyze the relation between adherence levels to good practice recommendations for insulin therapy and glycemic control metrics in patients with diabetes mellitus. Methods: A descriptive, cross-sectional, quantitative study was conducted with 102 patients with diabetes mellitus. Data were collected by means of semi-structured interviews and complemented by information obtained from medical records. Participants answered four collection instruments: I) a sociodemographic and clinical characterization form, II) a reminder of insulin therapy guidelines, III) a capillary blood glucose self-monitoring record sheet and IV) a record form of glycemic control assessment metrics. Results: Results showed a statistically significant association between non-adherence level (100%) to insulin therapy recommendations with estimated time on target ≤ 70% and between non-adherence (80%) and standard deviation ≥ 50 mg/dl. Conclusion: These findings corroborate that non-adherence to good insulin therapy recommendations contribute to a lack of glycemic control
Objetivo: Analizar la relación entre los niveles de adherencia a las recomendaciones de buenas prácticas en insulinoterapia y las métricas de control glucémico en pacientes con diabetes mellitus. Métodos: estudio descriptivo, transversal y cuantitativo, realizado con 102 pacientes con diabetes mellitus. Para larecolección de datos se utilizaron entrevistas semiestructuradas y, de forma complementaria, se obtuvieron datos de las historias clínicas. Se aplicaron cuatro instrumentos de recolección: I) formulario de caracterización sociodemográfica y clínica, II) recordatorio de pautas de insulinoterapia, III) formulario de autocontrol de glucemia capilar y IV) formulario de registro de métricas de evaluación del control glucémico. Resultados: hubo una asociación estadísticamente significativa entre el nivel de no adherencia (100%) a las recomendaciones de insulinoterapia y el tiempo estimado ≤ 70%; así como entre el 80% de no adherencia y la desviación estándar ≥ 50 mg/dl. Conclusión: estos hallazgos evidencian que la no adherencia a las recomendaciones de buenas prácticas de insulinoterapia contribuye a la falta de control glucémico
Sujet(s)
Humains , Mâle , Femelle , Bonnes Pratiques de Manipulation , Adhésion et observance thérapeutiques , Régulation de la glycémie , InsulineRÉSUMÉ
Introduction: Good glycemic control has been defined as achieving a target of fasting plasma glucose level of between 80 and 110 mg/dl, or glycosylated haemoglobin (HbA1C) of <7.0%. Poor glycemic control is highly correlated with chronic conditions related to the damaging effects of hyperglycaemia, resulting in serious complications. To restrict and delay the complications of diabetes mellitus, good glycemic control is essential. Objective: To identify the determinants associated with poor glycemic control among Type 2 diabetes mellitus patients. Method: A cross sectional study was conducted among 403 confirmed type 2 diabetic patients who attendedone of the tertiary care hospitals of North India over a period of six months (July- December 2021). The collected data was analysed using IBM SPSS version 28. Chi-square test was applied to compare various determinants of glycemic control. A p-value of <0.05 was considered to be statistically significant. Results: Out of 403 participants, 57.6% had poor glycemic control of diabetic condition. Higher age of participants, illiteracy, being overweight, having positive history of smoking and alcohol, longer duration of diabetes, participants taking both oral and insulin treatment for diabetes, taking medicine irregularly were the significant determinants of poor glycemic control. Conclusion: Higher percentage(57.6%) of poor glycemic control was observed in the study.To improve the glycemic control, efforts should be made towards improving modifiable factors like overweight, smoking, alcohol, regularity of medication etc. Good lifestyle interventions help in control of poor glycemic control.
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Background: Vitamin D deficiency and associated complications are widely prevalent in the Indian subcontinent. Hypovitaminosis D is known to play deleterious effects on cardiovascular and skeletal functions in human beings. Yet, its effect on carbohydrate metabolism and diabetes mellitus (DM) is less known. Aim and Objectives: In the current case– control study, our primary aim is to find out the potential effect of hypovitaminosis D on glycemic control in type 2 DM (T2DM) patients. Materials and Methods: The study population comprised 250 T2DM patients recruited primarily from Madhya Pradesh, India. The case group of 125 T2DM patients with hypovitaminosis D was compared with a control group of 125 T2DM patients with sufficient vitamin D. We mainly investigated the effect of hypovitaminosis D (both deficiency and insufficiency) on glycemic control in T2DM patients. Results: We observed that both fasting and 2-h postprandial blood glucose were found to be elevated significantly in T2DM patients with hypovitaminosis D (P < 0.01). The glycated hemoglobin level was also elevated (P < 0.01) in the case group suggesting impaired glycemic control for a chronic period. An inverse association is found between glycemic status and serum vitamin D (OH)D3 levels. Conclusions: Our results show the significance of maintaining sufficient plasma vitamin D levels, along with hypoglycemic medication in T2DM patients to improve their glycemic control and avoid diabetic comorbidities.