Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 3 de 3
Filtrar
Mais filtros










Intervalo de ano de publicação
1.
Rev. chil. cardiol ; 43(1)abr. 2024.
Artigo em Espanhol | LILACS-Express | LILACS | ID: biblio-1559639

RESUMO

Antecedentes: La pandemia de Covid-19 se ha convertido en uno de los desastres de salud, económicos y sociales más grandes de la historia de la humanidad. En este contexto se evidencia un aumento sustancial de trastornos emocionales diversos como, la ansiedad, la depresión, estrés y agotamiento emocional. Es preocupante el impacto que puede representar en los pacientes con factores de riesgo cardiovasculares (FRCV) durante la emergencia sanitaria. Objetivo: Analizar el impacto de la pandemia Covid 19 en los FRCV y en la salud mental en usuarios de consulta privada cardiológica. Método: Estudio observacional, analítico de corte transversal. Población objetivo 100 usuarios atendidos en consulta privada cardiológica, todos con consentimiento informado. Muestra no probabilística por conveniencia. Se realizó encuesta DASS-21 intra pandemia Covid 19 para medición de depresión, ansiedad y estrés. Medición antropométrica y exámenes de glicemia, insulinemia, hemoglobina glicosilada (HbA1c), perfil lipídico y presión arterial, para los periodos pre pandemia (PP) e intra pandemia (IP) Covid 19. Se usó software Stata para el análisis estadístico de medidas de tendencia central y el análisis bivariado con prueba de Chi2. Resultados: La muestra incluyó 100 usuarios: 51,5% de género femenino, y el promedio de edad fue 60,8 ±13,7 años. El nivel socioeconómico (NSE) fue Alto en 55,5%. El 63,6% presentaban nivel de escolaridad enseñanza superior (NEES). Al analizar ambos periodos, PP e IP, los resultados con mayor relevancia fueron: presión arterial (PA) alterada 16,6% en PP y 22,9% en IP; sobrepeso/obesidad 65,8% en PP y 70,7% en IP; HbA1c 16,6% PP y 31,9% en IP; insulinemia alterada 15,7% PP y 21% en IP; colesterol no HDL alterado 50,5% en PP y 52,7% en IP; índice HOMA alterado 44,5% en PP y 54,3% en IP. Se evidenció un importante aumento en trastornos de salud mental en IP que fueron depresión leve/moderada en 20% y depresión severa/extremadamente severa en 11%; ansiedad leve/moderada 25% y ansiedad severa/extremadamente severa 22%, estrés leve/moderado 21% y estrés severo/extremadamente severo 18%. Conclusiones: En el periodo IP hubo una alteración estadísticamente significativa en las variables clínicas como PA, HbA1c, índice HOMA, insulinemia, colesterol noHDL y sobrepeso/obesidad. En el periodo IP hubo un alto porcentaje de depresión, ansiedad y estrés, especialmente en mujeres. La pandemia por Covid 19 ha tenido impacto en los FRCV y en la salud mental en usuarios del sistema privado de salud.


Background: The Covid-19 pandemic has become one of the largest health, economic, and social disasters in human history. In this context, there has been a substantial increase in various emotional disorders such as anxiety, depression, stress, and emotional exhaustion. Given these issues, there is concern about the impact this may have on patients with cardiovascular risk factors (CVRF) during this health emergency. Objective: To analyze the impact of the COVID-19 pandemic on CVRF and mental health in subjects undergoing private cardiology consultation. Method: Observational, analytical, cross-sectional study. The target population consisted of 100 users attending a private cardiology consultation, all of them giving informed consent, with anon-probabilistic convenience sample. DASS-21 survey was conducted during the COVID-19 pandemic to evaluate depression, anxiety, and stress. Anthropometric measurements and tests for glycemia, insulinemia, glycosylated hemoglobin (HbA1c), lipid profile, and blood pressure were performed for the pre-pandemic (PP) and during-pandemic (IP) COVID-19 periods. Statistical analysis, measures of central tendency, and bivariate analysis with Chi2 test. was performed using a Stata software package. Results: The sample consisted of 100 subjects, 51.5% female, with an average age of 60.8 ± 13.7 years. Subjects had a high socio-economic Level (SEL)in 55.5% and higher education level in 63.6%. Comparing PP and IP periods, the most relevant results, re were respectivly: altered blood pressure (BP) 16.6% vs 22.9%, overweight/obesity 65.8% vs 70.7%, HbA1c 16.6% vs 31.9%, altered insulinemia 15.7% vs 21%, altered non-HDL cholesterol 52.7%, vs 50.5%, and HOMA index 44.5% vs 54.3%. A significant increase in mental health disorders in IP was evidenced, which were: mild/moderate depression 20%, and severe/extremely severe depression 11%; mild/moderate anxiety 25%, and severe/extremely severe anxiety 22%, mild/moderate stress 21%, and severe/ extremely severe stress 18%. Conclusions: In the IP phase there was a statistically significant alteration in clinical variables such as BP, HbA1c, HOMA index, insulinemia, non-HDL cholesterol, and overweight/ obesity. Also, a high percentage of depression, anxiety, and stress was observed. The COVID-19 pandemic has impacted CVR and mental health in subjects being cared for in the private health system.

2.
Rev. chil. cardiol ; 41(3): 165-169, dic. 2022. tab
Artigo em Espanhol | LILACS | ID: biblio-1423688

RESUMO

Introducción: 25% de personas con hiperinsulinismo desarrolla diabetes 3-5 años luego del primer diagnóstico y 70% lo hará en el resto de la vida. Intervenir los niveles de glicemia desde que se detecta hiperinsulinemia evita la progresión a diabetes y restaura el metabolismo glicémico. Objetivos: Determinar la prevalencia de hiperinsulinismo patológico post-carga de glucosa (HPPG) y su relación con factores de riesgo cardiovascular en adultos 100 UI/ml a las 2 horas), sexo, hipertensión arterial, dislipidemia, malnutrición por exceso, sedentarismo, tabaquismo, ateromatosis e infarto miocárdico documentado. Con STATA 17 se calculó la prevalencia de variables en población general y según categoría de HPPG y se evaluó la significancia con prueba exacta de Fisher. Se compararon medias con ANOVA y t-test con nivel de significancia <0,05. Se usó regresión binomial para estimar Razón de Prevalencia e intervalos de confianza en variables cuantitativas y cualitativas. Resultados: la prevalencia de HPPG fue 41%. La edad promedio 37,5 años, el sexo masculino 52,9%, la hipertensión-arterial 40,5% y la dislipidemia 74,4%. Al comparar las poblaciones con y sin HPPG existieron diferencia estadísticamente significativa en las variables dislipidemia, hipertensión-arterial, malnutrición por exceso y sexo-masculino. La razón de prevalencia alcanzó a un 62%, 37%, 59% y 20% respectivamente. Conclusión: Se encontró una alta prevalencia de HPPG. Los factores de riesgo asociados a ella fueron dislipidemia, hipertensión arterial, malnutrición por exceso y sexo masculino. Esto sugiere que encontrar HPPG puede ser de utilidad para detectar precozmente a la población con un mayor riesgo de enfermedad cardiovascular.


Introduction: 25% of people with hyperinsulinism develop diabetes 3-5 years after the first diagnosis and 70% will do so in the rest of their lives. To control glycemia levels as soon as hyperinsulinemia is detected, progression to diabetes is prevented and glycemic metabolism is restored. Aim: To determine the prevalence of post-glucose load pathological hyperinsulinism (HPPG) and its relationship with cardiovascular risk factors in adults 100 uIU/ ml at 2 hours), sex, hypertension, dyslipidemia, excess malnutrition due to, sedentary lifestyle, smoking, documented atheromatosis and myocardial infarction. The prevalence of variables in the general population was calculated and, in relation to the HPPG category, significance is evaluated with Fisher's exact test. Finally means are compared with ANOVA and t-test. With significance level <0.05. Binomial regression was used to estimate the prevalence ratio and confidence intervals in quantitative and qualitative variables. Statistical analysis was performed with the STATA 17 software. Results: HPPG prevalence was 41%, mean age 37.5 years, male sex 52.9%, arterial hypertension 40.5% and dyslipidemia 74.4%. Un relation to the presence of HPPG a statistically significant difference in the variables dyslipidemia, arterial hypertension, malnutrition due to excess and male sex was found. The prevalence ratios were 62%, 37%, 59% and 20%, respectively. Conclusion: A high prevalence of HPPG was found. Risk factors associated to HPPG were dyslipidemia, arterial hypertension, malnutrition due to excess and male sex. Thus, HPPG can play a role in the early detection of a higher risk of cardiovascular disease in the general population.


Assuntos
Humanos , Masculino , Feminino , Adulto , Pessoa de Meia-Idade , Fatores de Risco de Doenças Cardíacas , Hiperinsulinismo/epidemiologia , Resistência à Insulina , Prevalência , Estudos Transversais , Fatores de Risco , Análise de Variância , Intolerância à Glucose/epidemiologia , Glucose/administração & dosagem
3.
Science ; 296(5568): 747-9, 2002 Apr 26.
Artigo em Inglês | MEDLINE | ID: mdl-11976459

RESUMO

Gammadelta T cell receptor-bearing dendritic epidermal T cells (DETCs) found in murine skin recognize antigen expressed by damaged or stressed keratinocytes. Activated DETCs produce keratinocyte growth factors (KGFs) and chemokines, raising the possibility that DETCs play a role in tissue repair. We performed wound healing studies and found defects in keratinocyte proliferation and tissue reepithelialization in the absence of wild-type DETCs. In vitro skin organ culture studies demonstrated that adding DETCs or recombinant KGF restored normal wound healing in gammadelta DETC-deficient skin. We propose that DETCs recognize antigen expressed by injured keratinocytes and produce factors that directly affect wound repair.


Assuntos
Células Dendríticas/fisiologia , Fatores de Crescimento de Fibroblastos/biossíntese , Queratinócitos/fisiologia , Receptores de Antígenos de Linfócitos T gama-delta/análise , Subpopulações de Linfócitos T/fisiologia , Cicatrização , Animais , Divisão Celular , Citocinas/biossíntese , Células Dendríticas/citologia , Células Dendríticas/imunologia , Fator 10 de Crescimento de Fibroblastos , Fator 7 de Crescimento de Fibroblastos , Fatores de Crescimento de Fibroblastos/genética , Fatores de Crescimento de Fibroblastos/metabolismo , Fatores de Crescimento de Fibroblastos/farmacologia , Ativação Linfocitária , Camundongos , Camundongos Endogâmicos C57BL , Camundongos Transgênicos , Técnicas de Cultura de Órgãos , RNA Mensageiro/genética , RNA Mensageiro/metabolismo , Pele/lesões , Subpopulações de Linfócitos T/citologia , Subpopulações de Linfócitos T/imunologia
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...