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1.
Arq Gastroenterol ; 61: e23195, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-38896575

RESUMEN

BACKGROUNDS: Fortunately, much has been studied about COVID-19 in patients with inflammatory bowel diseases (IBD). Evidence suggests that these patients do not appear to be at increased risk of severe COVID-19. However, there are still some uncertainties regarding the clinical manifestations of COVID-19 in patients with immune-mediated diseases. OBJECTIVE: This study aimed to describe the main symptoms of COVID-19 and their frequency in IBD patients and evaluate the impact of the IBD therapeutic drugs on clinical presentation of COVID-19 and to determine factors associated with COVID-19 in this population. METHODS: Adult patients with IBD from three tertiary-care public, teaching hospitals in Ceará, Northeastern Brazil, were evaluated during one scheduled appointment from March to December 2020. Patients with possible or confirmed COVID-19 were compared with patients without COVID-19. Furthermore, incidences of each symptom were evaluated based on the use of IBD therapeutic drugs. RESULTS: A total of 515 patients with IBD were included in the study: 234 with CD, and 281 with UC. Of these, 174 patients (34%) had possible/confirmed COVID-19 of whom 156 (90%) were symptomatic. Main symptoms were fever (65%) and headache (65%); gastrointestinal symptoms occurred in one third of patients and were higher than COVID-19 in general population. The factors associated with having COVID-19 were female gender (OR 1.71, 95%CI: 1.17-2.50); contact at home (OR 5.07, 95%CI: 3.31-7.78) and outside the home (OR 3.14, 95%CI: 2.10-4.71) with a case of COVID-19; work outside of the home (OR 1.87, 95%CI: 1.26-2.78); family history of COVID-19 (OR 2.29, 95%CI 1.58-3.33) use of salicylate (OR 1.71, 95%CI: 1.17-4.28); and asthma (OR 7.10, 95%CI: 1.46-34.57). CONCLUSION: IBD patients at high risk of COVID-19 infection may need to avoid salicylate therapy but further studies are necessary to confirm this association.


Asunto(s)
COVID-19 , Enfermedades Inflamatorias del Intestino , Salicilatos , Humanos , COVID-19/complicaciones , Femenino , Masculino , Adulto , Enfermedades Inflamatorias del Intestino/tratamiento farmacológico , Enfermedades Inflamatorias del Intestino/complicaciones , Persona de Mediana Edad , Salicilatos/efectos adversos , Salicilatos/uso terapéutico , Brasil/epidemiología , SARS-CoV-2 , Factores de Riesgo , Anciano
2.
Cell Host Microbe ; 32(4): 606-622.e8, 2024 Apr 10.
Artículo en Inglés | MEDLINE | ID: mdl-38479396

RESUMEN

Chikungunya virus (CHIKV) is a mosquito-borne alphavirus that causes acute, subacute, and chronic human arthritogenic diseases and, in rare instances, can lead to neurological complications and death. Here, we combined epidemiological, virological, histopathological, cytokine, molecular dynamics, metabolomic, proteomic, and genomic analyses to investigate viral and host factors that contribute to chikungunya-associated (CHIK) death. Our results indicate that CHIK deaths are associated with multi-organ infection, central nervous system damage, and elevated serum levels of pro-inflammatory cytokines and chemokines compared with survivors. The histopathologic, metabolite, and proteomic signatures of CHIK deaths reveal hemodynamic disorders and dysregulated immune responses. The CHIKV East-Central-South-African lineage infecting our study population causes both fatal and survival cases. Additionally, CHIKV infection impairs the integrity of the blood-brain barrier, as evidenced by an increase in permeability and altered tight junction protein expression. Overall, our findings improve the understanding of CHIK pathophysiology and the causes of fatal infections.


Asunto(s)
Fiebre Chikungunya , Virus Chikungunya , Animales , Humanos , Fiebre Chikungunya/complicaciones , Proteómica , Virus Chikungunya/genética , Citocinas/metabolismo
3.
J Med Virol ; 95(8): e29044, 2023 08.
Artículo en Inglés | MEDLINE | ID: mdl-37605987

RESUMEN

Several biomarkers have been evaluated as predictors of severity or in directing the treatment of COVID-19, however there are no conclusive results. In this study, we evaluated serum levels of cytokines, chemokines, and cell growth factors in association with the pathobiology of mild to moderate SARS-CoV-2 infection. Serum levels of SARS-CoV-2 infected patients (n = 113) and flu symptoms individuals negative for SARS-CoV-2 (n = 58), tested by the RT-qPCR test-nasal swab were compared to healthy controls (n = 53). Results showed that the proinflammatory cytokines IL-1ß, MCP-3, TNF-α, and G-CSF were increased in symptomatic patients and the cytokines IL-6 and IL-10 were associated with patients positive for SARS-CoV-2 when compared to healthy controls. Symptoms associated with COVID-19 were fever, anosmia, ageusia, and myalgia. For patients without SARS-CoV-2 infection, their major symptom was sore throat. The pathobiology of mild to moderate SARS-CoV-2 infection was associated with increasing proinflammatory cytokines and a pleiotropic IL-6 and anti-inflammatory IL-10 cytokines compared to healthy controls. Thus, knowledge about the pathophysiology and the involvement of biomarkers in the mild to moderate profile of the disease should be evaluated. Monitoring these biomarkers in patients with mild to moderate disease can help establish adequate treatment and prevention strategies for long-term COVID-19.


Asunto(s)
COVID-19 , Citocinas , Humanos , Interleucina-10 , Estudios de Casos y Controles , Interleucina-6 , SARS-CoV-2 , Quimiocinas
4.
Rev Soc Bras Med Trop ; 53: e20200354, 2020.
Artículo en Inglés | MEDLINE | ID: mdl-32638888

RESUMEN

INTRODUCTION: COVID-19 emerged in late 2019 and quickly became a serious public health problem worldwide. This study aim to describe the epidemiological course of cases and deaths due to COVID-19 and their impact on hospital bed occupancy rates in the first 45 days of the epidemic in the state of Ceará, Northeastern Brazil. METHODS: The study used an ecological design with data gathered from multiple government and health care sources. Data were analyzed using Epi Info software. RESULTS: The first cases were confirmed on March 15, 2020. After 45 days, 37,268 cases reported in 85.9% of Ceará's municipalities, with 1,019 deaths. Laboratory test positivity reached 84.8% at the end of April, a period in which more than 700 daily tests were processed. The average age of cases was 67 (<1 - 101) years, most occurred in a hospital environment (91.9%), and 58% required hospitalization in an ICU bed. The average time between the onset of symptoms and death was 18 (1 - 56) days. Patients who died in the hospital had spent an average of six (0 - 40) days hospitalized. Across Ceará, the bed occupancy rate reached 71.3% in the wards and 80.5% in the ICU. CONCLUSIONS: The first 45 days of the COVID-19 epidemic in Ceará revealed a large number of cases and deaths, spreading initially among the population with a high socioeconomic status. Despite the efforts by the health services and social isolation measures the health system still collapsed.


Asunto(s)
Ocupación de Camas/estadística & datos numéricos , Betacoronavirus , Infecciones por Coronavirus/epidemiología , Necesidades y Demandas de Servicios de Salud/estadística & datos numéricos , Neumonía Viral/epidemiología , Adolescente , Adulto , Distribución por Edad , Anciano , Anciano de 80 o más Años , Brasil/epidemiología , COVID-19 , Niño , Preescolar , Infecciones por Coronavirus/mortalidad , Análisis de Datos , Femenino , Encuestas de Atención de la Salud/estadística & datos numéricos , Unidades Hospitalarias/estadística & datos numéricos , Humanos , Lactante , Unidades de Cuidados Intensivos/estadística & datos numéricos , Tiempo de Internación/estadística & datos numéricos , Masculino , Persona de Mediana Edad , Pandemias , Neumonía Viral/mortalidad , SARS-CoV-2 , Distribución por Sexo , Factores de Tiempo , Adulto Joven
5.
Rev. Soc. Bras. Med. Trop ; 53: e20200354, 2020. tab, graf
Artículo en Inglés | Sec. Est. Saúde SP, Coleciona SUS, LILACS | ID: biblio-1136826

RESUMEN

Abstract INTRODUCTION: COVID-19 emerged in late 2019 and quickly became a serious public health problem worldwide. This study aim to describe the epidemiological course of cases and deaths due to COVID-19 and their impact on hospital bed occupancy rates in the first 45 days of the epidemic in the state of Ceará, Northeastern Brazil. METHODS: The study used an ecological design with data gathered from multiple government and health care sources. Data were analyzed using Epi Info software. RESULTS: The first cases were confirmed on March 15, 2020. After 45 days, 37,268 cases reported in 85.9% of Ceará's municipalities, with 1,019 deaths. Laboratory test positivity reached 84.8% at the end of April, a period in which more than 700 daily tests were processed. The average age of cases was 67 (<1 - 101) years, most occurred in a hospital environment (91.9%), and 58% required hospitalization in an ICU bed. The average time between the onset of symptoms and death was 18 (1 - 56) days. Patients who died in the hospital had spent an average of six (0 - 40) days hospitalized. Across Ceará, the bed occupancy rate reached 71.3% in the wards and 80.5% in the ICU. CONCLUSIONS: The first 45 days of the COVID-19 epidemic in Ceará revealed a large number of cases and deaths, spreading initially among the population with a high socioeconomic status. Despite the efforts by the health services and social isolation measures the health system still collapsed.


Asunto(s)
Humanos , Masculino , Femenino , Lactante , Preescolar , Niño , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , Adulto Joven , Neumonía Viral/epidemiología , Ocupación de Camas/estadística & datos numéricos , Betacoronavirus , Necesidades y Demandas de Servicios de Salud/estadística & datos numéricos , Neumonía Viral/mortalidad , Factores de Tiempo , Brasil/epidemiología , Distribución por Sexo , Infecciones por Coronavirus , Infecciones por Coronavirus/mortalidad , Infecciones por Coronavirus/epidemiología , Distribución por Edad , Encuestas de Atención de la Salud/estadística & datos numéricos , Pandemias , Análisis de Datos , Unidades Hospitalarias/estadística & datos numéricos , Unidades de Cuidados Intensivos/estadística & datos numéricos , Tiempo de Internación/estadística & datos numéricos , Persona de Mediana Edad
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