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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.
Subject(s)
Animals , Male , Rats , Plant Extracts/administration & dosage , Sodium-Potassium-Exchanging ATPase/drug effects , Diabetic Nephropathies/drug therapy , Acacia/chemistry , Superoxide Dismutase , Glycated Hemoglobin/analysis , Plant Extracts/pharmacology , Gene Expression , Rats, Sprague-Dawley , Sodium-Potassium-Exchanging ATPase/genetics , Oxidative Stress , Microscopy, Electron, Transmission , Disease Models, Animal , Drug Therapy, Combination , Glycemic Control , Insulin/administration & dosage , Kidney/drug effects , MalondialdehydeABSTRACT
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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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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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.
Subject(s)
Humans , Blood Glucose , Glycated Hemoglobin , Blood Glucose Self-Monitoring , Diabetes Mellitus, Type 2ABSTRACT
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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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
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Humans , Male , Female , Good Manipulation Practices , Treatment Adherence and Compliance , Glycemic Control , InsulinABSTRACT
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.
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Objective: Design a proposal of educational intervention for both, people who live with Diabetes Mellitus type 2 and their family caregiver. Methodology: Methodology. A case series study was conducted with the participation of 12 people living with type 2 diabetes mellitus and attending a Mutual Help Group in Pachuquilla, Hidalgo. Sociodemographic data, somatometric measurements (weight, height, BMI, waist circumference), blood pressure, and capillary blood samples for glycosylated hemoglobin were collected. Results: The mean age was 64 and range of 39-79 years, O.D. of 12; 67% women; 25% finished secondary school, 50% worked at home, 17% in commerce, 33% unemployed; 58% married, 25% widowed, and 17% divorced and in common law; 33.% with less than 5 years diagnosed, 67% have been diagnosed for more than 5 years; 75% depend economically; 67% have complications, 75% with family support, in diabetes knowledge 33% obtained intermediate score and 67% inadequate score; the weight average was of 77 kg and range of 57-116.5 kg, and O.D. 17 kg; in waist circumference, 100% exceed the recommended limit, in BMI, 50% is classified as overweight and 50% as obese; in blood pressure 50% > 130/80 mmHg and in glycosylated hemoglobin 75% > 7% mg/dl. Conclusion: The currently implemented strategy does not reflect good knowledge and control of the disease. This study invites us to continue with research where an educational intervention is implemented in which family caregivers are included and active participation is encouraged, in addition to implementing the IEP as a theoretical basis for the intervention.
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Glycaemic control and reduction in mortality among diabetes can be easily achieved by a cost-effective intervention, Physical activity. Moderate to vigorous intensity activities are usually rec-ommended for diabetics. Structured engagement of diabetes by combining physical activity and modest weight loss activities their risk can be reduced by 58%. But most of the diabetics prefer to remain inactive. Hence this article highlights the importance of physical activity, acute and chronic effects of physical activity on diabetics, recommended level of activity, recommended type of activi-ty and ways to adhere and maintain those activities.
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Background : Type 2 Diabetes Mellitus is a lifestyle disorders and it leads to complications that are life threatening which can be prevented by proper Counselling and Diet monitoring of patients. Objective : To evaluate effect of Counselling on the Glycemic control, Dietary habits and Diabetes awareness of type 2 DM patients. Method : A randomized clinical trial was conducted at a tertiary hospital. 96 subjects were randomized and baseline data was gathered from all patients included in the study. Out of these 48 patients were given Counselling on various aspects of Diabetes including diet, complications, medication, lifestyle modifications, exercise etc. Lab investigations and Diet calculations were done on first and 4 months later to measure the effect of Counselling on patient抯 Diet and Glycemic control and Diabetes awareness. Results : Diabetic awareness was measured in terms of number of correct responses which increased from 325 to 542 in Intervention group and from 357 to 402 in Control group. The increase in intervention group (22.60%) was more than that of the Control group (4.59%). The amount of calories in the diet of intervention and control group was respectively 2322�1 and 2334�0. Post Intervention it was 2344�0 and 2056�7respectively. Before intervention the difference in the amount of Calories, FBS, PP2BS between the 2 groups was statistically insignificant. But after intervention the difference with reference to total calories (p=0.0003), FBS (p=0.01) and PP2BS (p=0.0001) became statistically significant. Conclusion : Counselling led to a significant improvement in the Diabetic awareness, Glycemic control and Dietary habits of patients in terms of caloric intake.
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@#Periodontitis is an inflammation that occurs in the supporting tissues around teeth with plaque biofilm as the starting factor. Periodontitis is closely related to many systemic diseases, among which the relationship between periodontitis and diabetes is the most widely reported. A cohort study is an essential clinical research method to explore the etiology. Large, well-conducted prospective cohort studies have high power, which can provide important clinical evidence for the impact of periodontitis on blood sugar control, incidence rate and complications of diabetes mellitus. Periodontitis is associated with the deterioration of glycemic control. At present, there is moderate evidence that nonsurgical periodontal treatment can significantly improve the blood sugar level of diabetes patients with periodontitis compared with no periodontal treatment. Studies on the impact of periodontitis on the incidence rate of diabetes lack consistent conclusions because of different population backgrounds. The evidence regarding whether periodontitis affects the incidence rate of diabetes complications is relatively limited. Therefore, well-designed cohort studies are needed to provide high-quality clinical evidence.
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Objective:Exercise is a key way to control the blood glucose,which can improve blood lipids and blood pressure,reduce glycated hemoglobin levels,and increase insulin sensitivity.It is of great significance for maintaining blood glucose homeostasis.This study aims to explore the optimal exercise combinations suitable for diabetic patients,and to provide scientific and effective personalized exercise guidance for diabetic patients. Methods:The physical examination data and questionnaire results of were collected from the Third Xiangya Hospital of Central South University.The study was involved in 3 867 diabetes from January,2020 to December,2021.The basic information and living habits were obtained through questionnaires.The fasting blood samples were collected to measure the levels of total cholesterol(TCh),triglyceride,high-density lipoprotein cholesterol(HDL-C),low-density lipoprotein cholesterol(LDL-C),and fasting blood glucose.Physical measurements included height,weight,waistline,hipline,and blood pressure.Categorical variables were tested using chi-square tests,and continuous variables were tested using non-parametric Kruskal-Wallis test.Multiple linear regression model was used to analyze the relationship between exercise behaviors(frequency,duration,and intensity),years of exercise,diet habits,medicine,and fasting blood glucose.The relationship between different exercise behaviors and various indexes(BMI,blood pressure,blood lipids,blood glucose)was analyzed by multiple rising sun rose plots.The polar thermal diagram showed the relationship of exercise behaviors with the best expected effect. Results:Non-parametric Kruskal-Wallis test showed that there were significant differences in other indexes except LDL-C(P=0.681)among groups with different exercise behaviors(all P<0.01).The multiple rising sun rose plots showed that diabetic patients who did moderate to high intensity exercise more than 5 times a week for more than 30 min each time had a healthier BMI,blood lipid levels,blood glucose levels,and blood pressure.Polar thermal diagram showed that low-intensity exercise once or twice a week requires 30 to 60 min or more of exercise to achieve the desired results.Multiple linear regression analysis showed that frequency(β=-0.208,95% CI-0.356 to-0.059,P=0.006),duration(β=-0.227,95% CI-0.387 to-0.066,P=0.006),intensity of exercise(β=-0.110,95% CI-0.218 to-0.002,P=0.046),diet habits(β=0.462,95% CI 0.295 to 0.556,P<0.001)and medicine(β=-0.520,95% CI-0.720 to-0.312,P<0.001)were correlated with fasting blood glucose. Conclusion:Moderate to high intensity exercise for more than 30 min and 5 times a week is the most beneficial combination for diabetes.Low exercise intensity should be combined with higher exercise frequency and longer exercise time to achieve the desired effect.With the increase of exercise intensity,the relationship between low exercise frequency and long exercise time is weakened.
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Objective:To investigate the ego-depletion level of adolescents with type 1 diabetes mellitus (T1DM) and to explore its association with glycemic control and quality of life.Methods:This was a cross-sectional survey study. A total of 195 adolescents with T1DM were recruited from the First Affiliated Hospital of Nanjing Medical University from March to September 2022 by convenient sampling method. The Self-Regulatory Fatigue Scale (SRF-S) and Short Form of the Chinese version Diabetes Quality of Life for Youth Scale (C-DQOLY-SF) and the general information questionnaire were collected and the glycated hemoglobin (HbA 1c) value was detected. Results:The total score of self-regulatory fatigue for 195 adolescents with T1DM was (42.23 ± 9.94) points, with a scoring rate of 52.79%, which was at a medium level. Pearson correlation analysis showed that the total score of self-regulatory fatigue was positively correlated with HbA1c ( r = 0.25, P<0.01), and negatively correlated with quality of life ( r = -0.61, P<0.01). The hierarchical linear regression results showed that after controlling for demographic sociolagy and disease variables, ego-depletion had a positive predictive effect on HbA1c ( t = 3.69, P<0.01), while ego-depletion had a negative predictive effect on Quality of life ( t = -8.48, P<0.01). Conclusions:Ego-depletion of adolescents with T1DM may affect their blood glucose control and quality of life, which should be noticed by medical workers.
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Objective:To explore the correlation between blood glucose level and parental education level in children with type 1 diabetes mellitus (T1DM) based on mobile health APP.Methods:The data of T1DM children enrolled in China′s T1DM registration management program and registered to use TangTangquan ? were collected, as well as the blood glucose monitoring information uploaded quarterly after registration. Children were divided into low education group (middle school or below) and high education group (junior college or above) according to their parents′ education level. Blood glucose levels were compared between the two groups at different time points. Spearman correlation analysis and multivariate logistic regression analysis were used to evaluate the correlation between blood glucose level and parents′ education level in children with T1DM. Results:A total of 2 263 eligible children with T1DM were included and 1 246 were female (55.1%). The median age was 7.9(4.4, 11.4)years and T1DM duration was 0.07(0.02, 0.46)years. Among them, 1 513 cases were in the low-education group while 750 cases were in the high-education group. Within three years after registration, the glucose levels of each interval in the low-education group were increasing gradually (all P<0.05 except post-breakfast glucose). The glucose levels of each interval in the high-education group in the third year were lower than those in the low-education group (all P<0.05 except nocturnal glucose). The result of multivariate logistic regression analysis showed that after the adjustment of factors including T1DM duration and treatment, parental educational levels were still the separate related factors of premeal glucose, bedtime glucose and nocturnal glucose (premeal glucose: OR=0.385, 95% CI: 0.164-0.874, P=0.025; bedtime glucose: OR=0.444, 95% CI: 0.204-0.949, P=0.038; nocturnal glucose: OR=0.226, 95% CI: 0.582-0.747, P=0.020). Conclusions:The blood glucose levels of children with T1DM were negatively associated with parental educational levels. It is suggested that parental educational levels should be taken into consideration in the management of T1DM for children.