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Purpose: Diabetes is a public health problem that requires strategies to impact glycemic control and reduce the risk of long-term medical complications. Pharmacological management is a necessary treatment for this disease. Therefore, semaglutide is an essential tool to achieve the treatment targets. The present study aimed to evaluate the semaglutide effects on a cohort with type 2 diabetes mellitus (T2DM) in Colombia. Materials and Methods: The cohort included 49 patients with T2DM that have been treated in a specialized care center. Their glycemic outcomes, weight, renal function, and adverse events were evaluated through a 3-, 6- and 12-month follow-up. Results: Significant differences were observed in the outcome evaluation: reduction of glycated hemoglobin levels (MD -2.74 CI -1.95 to -3.52 in 6 months), fasting plasma glucose levels, body weight (MD -7.11 CI -5.97 to -8.24), and the albumin-to-creatinine ratio. The results were maintained throughout the treatment period. The adverse event rate was 16.3%, predominating gastrointestinal events. Conclusion: This real-world evidence shows the efficacy of semaglutide in achieving treatment goals in patients with T2DM.

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AIM: To evaluate the use of intermittently scanned continuous glucose monitoring (isCGM) in patients with liver cirrhosis (LC). METHODS: Observational study including 30 outpatients with LC (Child-Pugh B/C): 10 without diabetes (DM) (G1), 10 with newly diagnosed DM by oral glucose tolerance test (G2), and 10 with a previous DM diagnosis (G3). isCGM (FreeStyle Libre Pro) was used for 56 days (four sensors/patient). Blood tests were performed at baseline and after 28 and 56 days. RESULTS: No differences were found in the baseline characteristics, except for higher age in G3. There were significant differences between G1, G2 and G3 in glucose management indicator (GMI) (5.28 ± 0.17, 6.03 ± 0.59, 6.86 ± 1.08%, P < .001), HbA1c (4.82 ± 0.39, 5.34 ± 1.26, 6.97 ± 1.47%, P < .001), average glucose (82.79 ± 7.06, 113.39 ± 24.32, 149.14 ± 45.31mg/dL, P < .001), time in range (TIR) (70.89 ± 9.76, 80.2 ± 13.55, 57.96 ± 17.96%, P = .006), and glucose variability (26.1 ± 5.0, 28.21 ± 5.39, 35.31 ± 6.85%, P = .004). There was discordance between GMI and HbA1c when all groups were considered together, with a mean difference of 0.35% (95% SD 0.17, 0.63). In G1, the mean difference was 0.46% (95% SD 0.19, 0.73) and in G2 0.69% (95% SD 0.45, 1.33). GMI and HbA1c were concordant in G3, with a mean difference of -0.10 % (95% SD [-0.59, 0.38]). CONCLUSION: Disagreements were found between the GMI and HbA1c levels in patients with LC. isCGM was able to detect abnormalities in glycemic control that would not be detected by monitoring with HbA1c, suggesting that isCGM can be useful in assessing glycemic control in patients with LC.

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ABSTRACT FGF21 is a hormone produced primarily by the liver with several metabolic functions, such as induction of heat production, control of glucose homeostasis, and regulation of blood lipid levels. Due to these actions, several laboratories have developed FGF21 analogs to treat patients with metabolic disorders such as obesity and diabetes. Here, we performed a systematic review and meta-analysis of randomized controlled trials that used FGF21 analogs and analyzed metabolic outcomes. Our search yielded 236 articles, and we included eight randomized clinical trials in the meta-analysis. The use of FGF21 analogs exhibited no effect on fasting blood glucose, glycated hemoglobin, HOMA index, blood free fatty acids or systolic blood pressure. However, the treatment significantly reduced fasting insulinemia, body weight and total cholesterolemia. None of the included studies were at high risk of bias. The quality of the evidence ranged from moderate to very low, especially due to imprecision and indirection issues. These results indicate that FGF21 analogs can potentially treat metabolic syndrome. However, more clinical trials are needed to increase the quality of evidence and confirm the effects seen thus far.

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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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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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BACKGROUND: To prevent diabetes complications, the American Diabetes Association (ADA) has recommended the treatment of blood glucose, blood pressure, and LDL-cholesterol (LDL-c) to target levels. Our aim is to characterize the risk of death according to the achievement of these goals in subjects with diabetes participating in the ELSA-Brasil study. METHODS: ELSA-Brasil is an occupational cohort study of middle-aged and elderly adults followed from a 2008-2010 baseline to 2019 by two additional clinic visits and annual telephone interviews. We ascertained known diabetes by self-reported diagnosis or anti-diabetic medication use. We used treatment targets based on the 2022 ADA guidelines. We ascertained deaths from any cause based on the annual surveillance confirmed by death certificates. RESULTS: After 11 (1.8) years of follow-up, 261 subjects had died among 2423 with known diabetes. Within-target HbA1c was associated with the greatest protection (HR = 0.66; 95%CI 0.50-0.88) against all-cause mortality. Achieving both glycemic and blood pressure targets conferred substantial protection (HR = 0.54; 95%CI 0.37-0.78). Within-target LDL-c, however, was associated with increased mortality (HR = 1.44; 95%CI 1.11-1.88). CONCLUSIONS: Glucose and blood pressure control, especially when concomitant, reduced mortality. The increased mortality associated with achieving the LDL-c target merits further investigation.

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FGF21 is a hormone produced primarily by the liver with several metabolic functions, such as induction of heat production, control of glucose homeostasis, and regulation of blood lipid levels. Due to these actions, several laboratories have developed FGF21 analogs to treat patients with metabolic disorders such as obesity and diabetes. Here, we performed a systematic review and meta-analysis of randomized controlled trials that used FGF21 analogs and analyzed metabolic outcomes. Our search yielded 236 articles, and we included eight randomized clinical trials in the meta-analysis. The use of FGF21 analogs exhibited no effect on fasting blood glucose, glycated hemoglobin, HOMA index, blood free fatty acids or systolic blood pressure. However, the treatment significantly reduced fasting insulinemia, body weight and total cholesterolemia. None of the included studies were at high risk of bias. The quality of the evidence ranged from moderate to very low, especially due to imprecision and indirection issues. These results indicate that FGF21 analogs can potentially treat metabolic syndrome. However, more clinical trials are needed to increase the quality of evidence and confirm the effects seen thus far.

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Background: The capillary blood glucose monitoring program at home a challenge in primary health care. Therefore, it is fundamental to identify the glycemic control of people with diabetes mellitus through HBA1c and to analyze its associated factors. Objective: To identify the glycemic profile of people with Diabetes Mellitus (DM) through HbA1c and analyze factors associated. Materials & methods: Cross-sectional study developed in Ribeirão Preto, São Paulo, Brazil. Secondary data from the electronic health record of people registered in the Primary Health Care system were used. A sample of 3181 participants was obtained. People with HbA1c < 7.0% (53 mmol/mol) were considered to have adequate glycemic control. For people aged ≥ 55 years, a less stringent target, < 8.0% (64 mmol/mol), was also considered. The odds ratio was the measure of effect analyzed with their respective 95% Confidence Intervals (95% CI). Results: Adequate glycemic control with HbA1c < 7.0% (53 mmol/mol) was found in 44.8% of people and, when using the less rigid target, HbA1c < 8.0% (64 mmol/mol) for people aged ≥ 55 years-old, 70.6% had adequate glycemic control. Age and drug therapy were associated with adequate glycemic control (p < 0.001), which was more frequent among older people and those who used only metformin. Conclusion: The study shows that the achievement of adequate glycemic control is still a challenge, especially with regard to younger people and those who use insulin.

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Objective: Insulin Icodec is a novel basal insulin analogue designed for once-weekly administration, therefore might propitiate reduction in the frequency of injections and facilitate treatment adherence. This study aimed to determine the glycemic control and safety profile of Insulin Icodec, compared with Glargine U100 in patients with diabetes mellitus type 2. Materials and methods: We performed a systematic review and meta-analysis of randomized controlled trials (RCT) data comparing OnceWeekly Insulin Icodec and Once-Daily Insulin Glargine U100 in patients with type 2 diabetes mellitus. PubMed, Embase, and Cochrane databases were searched for trials published up to May 14, 2022. Data were extracted from published reports and quality assessment was performed per Cochrane recommendations. Results: Three studies were included comprising 453 patients, 230 (50.77%) using Once-Weekly Insulin Icodec and 223 (49.22%) using Once-Daily Insulin Glargine U100. In the pooled data, Glycated Hemoglobin (MD -0.20% CI -0.33 to -0.07%; P=0.002) change from baseline demonstrated a significantly higher reduction in the Icodec group. Time with Glucose in Range (MD 6.60% CI 3.63 to 9.57%; P < 0.0001) and Insulin Dose Difference (MD 0.97UI CI 0.76 to 1.18UI; P < 0.0001) were higher in the Icodec group. There was no significant difference in fasting plasma glucose, body weight change, hypoglycemia or any adverse event evaluated. Conclusion: OnceWeekly Insulin Icodec was associated with a small reduction in Glycated Hemoglobin, as well as higher Time with Glucose in Range, with similar hypoglycemic adverse events, when compared with Once-Daily Insulin Glargine U100.

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AIMS: To determine the association between sleep quality and lack of glycemic control in a Mexican population of type 2 diabetes patients. METHODS: Cross-sectional study. Two hundred two patients between 20 and 60 years old with a previous diagnosis of diabetes were included. Sleep quality was assessed with the Pittsburgh Sleep Quality Index and lack of glycemic control as a glycated hemoglobin A1c level ≥ 7 %. Univariate and multivariate analyses using logistic regression were performed. RESULTS: The study population showed poor sleep quality and a lack of glycemic control of 70.3 % and 69.8 %, respectively. The prevalence of patients with both conditions was 52.5 %. In multivariate analysis, poor sleep quality was significantly associated with a lack of glycemic control (OR = 2.3, p = 0.030). Other associated variables were napping (p = 0.015), diabetes duration (p = 0.011), insulin use (p = 0.024), and diastolic blood pressure ≥ 85 mmHg (p = 0.029). CONCLUSIONS: The prevalence of lack of glycemic control in the study population is high. Poor sleep quality significantly doubles the risk of lack of glycemic control, even in the presence of other risk factors.

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