Diet quality and therapeutic targets in patients with type 2 diabetes : evaluation of concordance between dietary indexes

Background: This study aimed to evaluate the concordance between two dietary indexes, the Healthy Eating Index (HEI) and the Diabetes Healthy Eating Index (DHEI), in evaluating diet quality and its possible association with therapeutic targets in patients with type 2 diabetes. Methods: Cross-sectional study of outpatients with type 2 diabetes mellitus treated at a university hospital. Dietary information was obtained from a quantitative food frequency questionnaire (previously validated for use in patients with type 2 diabetes) and converted into daily intakes. Diet quality was assessed using two dietary indexes: HEI (12 components, nine food groups and three moderation components) and DHEI (10 components, six food groups, three nutrient groups, and one for variety of diet). In both indexes, the sum of the scores for each component yields an overall score converted on a scale from 0 to 100%; diet quality is subsequently ranked as low (80%). Patients underwent clinical and laboratory assessment. Those with fasting blood glucose values 70–130 mg/dL, A1c < 7%, total cholesterol <200 mg/dL, LDL-cholesterol <100 mg/dL, and triglycerides <150 mg/dL were considered to meet therapeutic targets. All analyses were conducted in PASW Statistics 18.0, and p < 0.05 deemed significant. Results: We analyzed 148 patients with type 2 diabetes (73% white, mean age 63.2 ± 9.4 years, median diabetes duration 10 [IQR 5–19] years, mean A1c% 8.4 ± 2.0%, and mean BMI 30.5 ± 4.2 kg/m2). Mean energy intake was 2114 ± 649 kcal/day. DHEI scores were 17.0 (95%CI -6.8 to 41.0) points lower than HEI scores (55.9 ± 14.2% vs. 72.9 ± 10.7%, respectively; P < 0.001), suggesting there is no agreement (Bland-Altman method), and the Pearson correlation coefficient was 0.55 (P < 0.001). More patients were classified as having a low-quality diet by the DHEI than by the HEI (38.5% vs. 1.4%; P < 0.001). A higher proportion of patients (35.7%) with out-of-target total cholesterol levels had a low-quality diet evaluated by the DHEI (P = 0.03). We did not find associations between overall score of HEI and therapeutic targets. Conclusions: In its intended population of patients with type 2 diabetes, the DHEI seems to be a more rigorous tool to evaluate association between diet quality and changes in metabolic parameters

A Interdisciplinaridade como Projeto Acadêmico

Este artigo tem por objetivo despertar a comunidade acadêmica para os princípios e o conceito de interdisciplinaridade e relatar a experiência de iniciação científica realizada, seguindo-se estes preceitos, no curso de Odontologia do Centro Universitário de Araraquara - UNIARA

Factors associated with variation in intracranial pressure in a model of intra-abdominal hypertension with acute lung injury

OBJETIVO: Avaliar o efeito de alterações hemodinâmicas, respiratórias e metabólicas sobre a pressão intracraniana em um modelo de lesão pulmonar aguda e síndrome compartimental abdominal. MÉTODOS: Oito porcos Agroceres foram submetidos, após a instrumentação, a cinco cenários clínicos: 1) estado basal com baixa pressão intra-abdominal e pulmão sadio; 2) pneumoperitôneo, com pressão intra-abdominal de 20 mm Hg; 3) lesão pulmonar aguda induzida por lavagem pulmonar e desativação de surfactante; 4) pneumoperitôneo com pressão intra-abdominal de 20 mm Hg na vigência de lesão pulmonar aguda e com PEEP baixo; e 5) PEEP ajustado a 27 cm H2O na vigência de pneumoperitôneo e lesão pulmonar aguda. Variáveis respiratórias e hemodinâmicas foram coletadas. Análise multivariada foi realizada buscando as variáveis associadas com elevação da pressão intracraniana nos cinco cenários estudados. RESULTADOS: Após a análise multivariada, nas situações não associadas com lesão pulmonar aguda apenas a pressão de platô das vias aéreas se correlacionou positivamente com a pressão intracraniana. Nos modelos associados com lesão pulmonar aguda, a pressão de platô de vias aéreas, a pressão arterial de CO2, o CO2 no final da expiração e a pressão venosa central se correlacionaram positivamente com incrementos da pressão intracraniana. CONCLUSÃO: Em um modelo de disfunção orgânica múltipla com situações clínicas associadas com aumento da pressão torácica e abdominal, o incremento da pressão intracraniana desencadeado pela elevação da pressão abdominal parece ser decorrente da piora da complacência do sistema respiratório e da redução do gradiente para drenagem venosa cerebral ocasionado pela elevação da pressão venosa central.OBJECTIVE: To evaluate the effects of hemodynamic, respiratory and metabolic changes on intracranial pressure in a model of acute lung injury and abdominal compartment syndrome. METHODS: Eight Agroceres pigs were submitted to five different clinical scenarios after instrumentation: 1) a baseline condition with low intra-abdominal pressure and healthy lungs; 2) pneumoperitoneum with 20 mmHg intra-abdominal pressure; 3) acute lung injury induced by pulmonary lavage with surfactant deactivation; 4) pneumoperitoneum with 20 mmHg intra-abdominal pressure with lung pulmonary injury and low positive end-expiratory pressure; and 5) 27 cmH2O positive end-expiratory pressure with pneumoperitoneum and acute lung injury. Respiratory and hemodynamic variables were collected. A multivariate analysis was conducted to search for variables associated with increased intracranial pressure in the five scenarios. RESULTS: Only plateau airway pressure showed a positive correlation with intracranial pressure in the multivariate analysis. In the models with acute lung injury, plateau airway pressure, CO2 arterial pressure, end tidal CO2 and central venous pressure were positively correlated with increased intracranial pressure. CONCLUSION: In a model of multiple organ dysfunction with associated clinical conditions causing increased intra-thoracic and abdominal pressure, increased intracranial pressure triggered by elevated intra-abdominal pressure is apparently caused by worsened respiratory system compliance and a reduced brain venous drainage gradient due to increased central venous pressure

Avaliação do consumo de frutas em pacientes com diabetes mellitus tipo 2

Introduction: The impact of fruit consumption on the health of patients with type 2diabetes mellitus (T2DM) warrants investigation. The aim of this study was to evaluatefruit consumption in patients with T2DM and to identify its association with glycemiccontrol parameters.Methods: We included 197 outpatients with T2DM who underwent clinical,sociodemographic, anthropometric, laboratory, and food consumption assessments.A food frequency questionnaire was used to assess total food intake and fruitconsumption. Patients with lower and higher fruit consumption (according to themedian) were compared.Results: Average fruit consumption was 593.66 ± 330.74 g/day. Blood glucose(169.42 ± 70.83 vs. 158.62 ± 64.56 mg/dL; p = 0.273) and glycated hemoglobin(8.39  ±  1.68% vs. 8.68 ± 2.38%; p = 0.319) levels did not differ between the lowerand higher fruit consumption groups, nor did the other variables. Patients with higherfruit consumption had a higher intake of energy (p &lt; 0.001), carbohydrates (p &lt; 0.001),and fibers (p = 0.006) but a lower intake of proteins (p = 0.015) and total and differentIntrodução: O impacto do consumo de frutas sobre a saúde de pacientes com diabetes mellitus tipo 2 (DM2) requer investigações. Objetivo é avaliar o consumo de frutas em pacientes com DM2 e identificar a sua associação com parâmetros de controle glicêmico.Métodos: Incluídos 197 pacientes ambulatoriais com DM2, submetidos à avaliação clínica, sociodemográfica, antropométrica, laboratorial e de consumo alimentar. A ingestão alimentar total e o consumo de frutas foram avaliados por questionário quantitativo de frequência alimentar. Pacientes com menor e maior consumo de frutas (de acordo com a mediana) foram comparados. Resultados: Média do consumo de frutas foi de 593,66 ± 330,74 g/dia. Entre os menores e maiores consumidores de frutas, os valores de glicemia (169,42 ± 70,83 vs. 158,62 ± 64,56 mg/dL; p = 0,273) e hemoglobina glicada (8,39 ± 1,68 vs. 8,68 ± 2,38%;p = 0,319) não foram diferentes, assim como as demais variáveis.  O grupo que mais consumiu frutas apresentou uma maior ingestão de vitamina C (p &lt; 0,001) e potássio (p &lt; 0,001) e um menor consumo de sódio (p = 0,001). Observou-se uma correlação negativa entre o consumo de frutas e o índice glicêmico da dieta (p = 0,05). Conclusão: Não houve diferença na glicemia em jejum e no valor de hemoglobina glicada entre os pacientes com DM2 com maior e menor consumo de fruta

Fruit consumption in patients with type 2 diabetes mellitus

Introdução: O impacto do consumo de frutas sobre a saúde de pacientes com diabetes mellitus tipo 2 (DM2) requer investigações. O objetivo deste estudo foi avaliar o consumo de frutas em pacientes com DM2 e identificar a sua associação com parâmetros de controle glicêmico. Métodos: Foram incluídos 197 pacientes ambulatoriais com DM2, submetidos à avaliação clínica, sociodemográfica, antropométrica, laboratorial e de consumo alimentar. A ingestão alimentar total e o consumo de frutas foram avaliados por questionário quantitativo de frequência alimentar. Os pacientes com menor e maior consumo de frutas (de acordo com a mediana) foram comparados. Resultados: A média do consumo de frutas foi de 593,66 ± 330,74 g/dia. Entre os menores e maiores consumidores de frutas, os valores de glicemia (169,42 ± 70,83 vs. 158,62 ± 64,56 mg/dL; p = 0,273) e hemoglobina glicada (8,39 ± 1,68 vs. 8,68 ± 2,38%; p = 0,319) não foram diferentes, assim como as demais variáveis. Os pacientes com maior consumo de frutas apresentaram maior ingestão de energia (p < 0,001), carboidratos (p < 0,001) e fibras (p = 0,006) e uma menor ingestão de proteínas (p = 0,015), lipídeos totais (p = 0,040) e seus tipos. O grupo que mais consumiu frutas apresentou uma maior ingestão de vitamina C (p < 0,001) e potássio (p < 0,001) e um menor consumo de sódio (p = 0,001). Foi observado ainda uma correlação negativa entre o consumo de frutas e o índice glicêmico da dieta (p = 0,05). Conclusão: Não houve diferença na glicemia em jejum e no valor de hemoglobina glicada entre os pacientes com DM2 com maior e menor consumo de frutas.Introduction: The impact of fruit consumption on the health of patients with type 2 diabetes mellitus (T2DM) warrants investigation. The aim of this study was to evaluate fruit consumption in patients with T2DM and to identify its association with glycemic control parameters. Methods: We included 197 outpatients with T2DM who underwent clinical, sociodemographic, anthropometric, laboratory, and food consumption assessments. A food frequency questionnaire was used to assess total food intake and fruit consumption. Patients with lower and higher fruit consumption (according to the median) were compared. Results: Average fruit consumption was 593.66 ± 330.74 g/day. Blood glucose (169.42 ± 70.83 vs. 158.62 ± 64.56 mg/dL; p = 0.273) and glycated hemoglobin (8.39 ± 1.68% vs. 8.68 ± 2.38%; p = 0.319) levels did not differ between the lower and higher fruit consumption groups, nor did the other variables. Patients with higher fruit consumption had a higher intake of energy (p < 0.001), carbohydrates (p < 0.001), and fibers (p = 0.006) but a lower intake of proteins (p = 0.015) and total and different types of lipids (p = 0.040). The higher consumption group had higher vitamin C (p < 0.001) and potassium (p < 0.001) intake and lower sodium intake (p = 0.001). We identified a negative correlation between fruit consumption and the diet’s glycemic index (p = 0.05). Conclusion: Fasting blood glucose and glycated hemoglobin levels did not differ between the higher and lower fruit consumption groups

Prevalence of SARS-CoV-2 infection among health care workers in a reference hospital in Brazil

Health care workers (HCW) are the frontline workforce for COVID-19 patient care and, consequently, are exposed to SARS-CoV-2 infection due to close contact to infected patients. Here, we evaluate the prevalence of SARS-CoV-2 infection among HCW from an infectious disease hospital, reference center for COVID-19 care in the metropolitan area of Sao Paulo city, Brazil. Among 2,204 HCW, 1,417 (64.29%) were subjected to detection of anti-SARS-CoV-2 antibodies by chemiluminescent immunoassay. Out of the total, 271 (19.12%) presented anti-SARS-CoV-2 antibodies. Prevalence varied according to HCW categories. The highest prevalence was observed in workers from outsourced companies, cooks and kitchen assistants, hospital cleaning workers, and maintenance workers. On the other hand, resident physicians and HCW from the institution itself presented lower prevalence (nurses, nursing assistants, physicians, laboratory technicians). Social and environmental factors are important determinants, associated with exposure in the hospital environment, which can determine the greater or lesser risk of infection by pathogens that spread rapidly by air