ABSTRACT
Diarrheagenic E. coli (DEC) strains are one of the most important etiology factors causing diarrhea in children worldwide, especially in developing countries. DEC strains have characteristic virulence factors; however, other supplemental virulence genes (SVG) may contribute to the development of diarrhea in children. Therefore, this study aimed to determine the prevalence of DEC in children with diarrhea in southwestern Mexico and to associate childhood symptoms, SVG, and pathotypes with diarrhea-causing DEC strains. DEC strains were isolated from 230 children with diarrhea aged 0-60 months from the state of Oaxaca, southwestern Mexico; clinical data were collected, and PCR was used to identify SVG and pathotypes. Antibiotic resistance profiling was performed on DEC strains. 63% of samples were DEC positive, single or combined infections (two (21%) or three strains (1.3%)) of aEPEC (51%), EAEC (10.2%), tEPEC (5.4%), DAEC (4.8%), ETEC (4.1%), EIEC (1.4%), or EHEC (0.7%) were found. Children aged ≤ 12 and 49-60 months and symptoms (e.g., fever and blood) were associated with DEC strains. SVG related to colonization (nleB-EHEC), cytotoxicity (sat-DAEC and espC-tEPEC), and proteolysis (pic-aEPEC) were associated with DECs strains. E. coli phylogroup A was the most frequent, and some pathotypes (aEPEC-A, DAEC-B), and SVG (espC-B2, and sat-D) were associated with the phylogroups. Over 79% of the DEC strains were resistant to antibiotics, and 40% were MDR and XDR, respectively. In conclusion aEPEC was the most prevalent pathotype in children with diarrhea in this region. SVG related to colonization, cytotoxicity, and proteolysis were associated with diarrhea-producing DEC strains, which may play an essential role in the development of diarrhea in children in southwestern Mexico.
Subject(s)
Escherichia coli Infections , Escherichia coli , Child , Humans , Escherichia coli/genetics , Escherichia coli Infections/epidemiology , Anti-Bacterial Agents/pharmacology , Virulence , Mexico , Drug Resistance, Bacterial , Diarrhea/epidemiologyABSTRACT
OBJECTIVE: COVID-19 has tried out global health causing high mortality. There are some risk factors that associate greater severity and mortality from COVID-19; but their individual impact is unknown yet. There are also no fixed criteria for hospital admission. For this reason, this study aimed to analyze the factors associated with the severity of COVID-19 and create predictive models for the risk of hospitalization and death due to COVID-19. METHODS: A descriptive retrospective cohort study was made in Talavera de la Reina (Toledo, Spain). Data were collected through computerized records of Primary Care, Emergencies and Hospitalization. The sample consisted of 275 patients over eighteen years old diagnosed with COVID-19 in a centralized laboratory from March 1st to May 31st, 2020. Analysis was carried on using SPSS, creating two predictive models for the risk of hospitalization and death using linear regression. RESULTS: The probability of hospitalization increased independently with polypharmacy (OR 1.086; CI95% 1.009-1.169), the Charlson index (OR 1.613; CI95% 1.158-2.247), the history of acute myocardial infarction (AMI) (OR 4.358; 95% CI 1.114-17.051) and the presence of COVID symptoms (OR 7.001; 95% CI 2.805-17.475). The probability of death was independently associated with age, increasing 8.1% (OD 1.081; 95% CI 1.054- 1.110) for each year of the patient. CONCLUSIONS: Comorbidity, polypharmacy, history of AMI and the presence of COVID-19 symptoms predict the risk of hospitalization. The age of individuals predicts the risk of death. Detecting patients at high risk of hospitalization and death allows us to define the target population and define measures to implement.
OBJETIVO: La COVID-19 ha puesto a prueba la sanidad mundial, provocando una elevada mortalidad. Existen factores de riesgo que asocian mayor gravedad y mortalidad por COVID-19, pero se desconoce su impacto individual. Tampoco existen criterios fijos para un ingreso hospitalario. Por ello, este estudio pretendió analizar los factores asociados a la gravedad de la COVID-19 y crear modelos predictivos de riesgo de hospitalización y exitus por COVID-19. METODOS: Se realizó un estudio descriptivo de cohorte retrospectiva en Talavera de la Reina (Toledo, España). Los datos fueron recogidos mediante registros informatizados de Atención Primaria, Urgencias y Hospitalización. La muestra estuvo compuesta por 275 pacientes mayores de dieciocho años diagnosticados de COVID-19 en un laboratorio centralizado del 1 de marzo al 31 de mayo de 2020. Se ejecutó el análisis mediante SPSS, creándose sendos modelos predictivos de riesgo de hospitalización y exitus mediante regresión lineal. RESULTADOS: La probabilidad de hospitalización aumentó de forma independiente con la polifarmacia (OR 1,086; IC95% 1,009-1,169), el índice de Charlson (OR 1,613; IC95% 1,158-2,247), el antecedente de infarto agudo de miocardio (IAM) (OR 4,358; IC95% 1,114-17,051) y la presencia de síntomas COVID (OR 7,001; IC95% 2,805-17,475). La probabilidad de exitus se asoció de forma independiente con la edad, aumentando un 8,1% (OD 1,081; IC95% 1,054-1,110) por cada año del paciente. CONCLUSIONES: La comorbilidad, la polifarmacia, el antecedente de IAM y la presencia de síntomas de COVID-19 predicen un riesgo de hospitalización. La edad de los individuos predice el riesgo de exitus. Detectar los pacientes con alto riesgo de hospitalización y exitus nos permite delimitar la población diana y definir las medidas a implementar.
Subject(s)
COVID-19 , Humans , Adolescent , COVID-19/epidemiology , SARS-CoV-2 , Retrospective Studies , Spain/epidemiology , Hospitalization , Comorbidity , Risk FactorsABSTRACT
FUNDAMENTOS: La COVID-19 ha puesto a prueba la sanidad mundial, provocando una elevada mortalidad. Existen factores deriesgo que asocian mayor gravedad y mortalidad por COVID-19, pero se desconoce su impacto individual. Tampoco existen criteriosfijos para un ingreso hospitalario. Por ello, este estudio pretendió analizar los factores asociados a la gravedad de la COVID-19 y crearmodelos predictivos de riesgo de hospitalización y exitus por COVID-19. MÉTODOS: Se realizó un estudio descriptivo de cohorte retrospectiva en Talavera de la Reina (Toledo, España). Los datos fueron re-cogidos mediante registros informatizados de Atención Primaria, Urgencias y Hospitalización. La muestra estuvo compuesta por 275pacientes mayores de dieciocho años diagnosticados de COVID-19 en un laboratorio centralizado del 1 de marzo al 31 de mayo de 2020. Se ejecutó el análisis medianteSPSS, creándose sendos modelos predictivos de riesgo de hospitalización y exitus mediante regresión lineal.RESULTADOS: La probabilidad de hospitalización aumentó de forma independiente con la polifarmacia (OR 1,086; IC95% 1,009-1,169), el índice de Charlson (OR 1,613; IC95% 1,158-2,247), el antecedente de infarto agudo de miocardio (IAM) (OR 4,358; IC95% 1,114-17,051) y la presencia de síntomas COVID (OR 7,001; IC95% 2,805-17,475). La probabilidad de exitus se asoció de forma independientecon la edad, aumentando un 8,1% (OD 1,081; IC95% 1,054-1,110) por cada año del paciente. CONCLUSIONES: La comorbilidad, la polifarmacia, el antecedente de IAM y la presencia de síntomas de COVID-19 predicen un ries-go de hospitalización. La edad de los individuos predice el riesgo de exitus. Detectar los pacientes con alto riesgo de hospitalizacióny exitus nos permite delimitar la población diana y definir las medidas a implementar.(AU)
BACKGROUND: COVID-19 has tried out global health causing high mortality. There are some risk factors that associate greater se-verity and mortality from COVID-19; but their individual impact is unknown yet. There are also no fixed criteria for hospital admission.For this reason, this study aimed to analyze the factors associated with the severity of COVID-19 and create predictive models for therisk of hospitalization and death due to COVID-19. METHODS: A descriptive retrospective cohort study was made in Talavera de la Reina (Toledo, Spain). Data were collected throughcomputerized records of Primary Care, Emergencies and Hospitalization. The sample consisted of 275 patients over eighteen years olddiagnosed with COVID-19 in a centralized laboratory from March 1st to May 31st, 2020. Analysis was carried on usingSPSS, creating twopredictive models for the risk of hospitalization and death using linear regression.RESULTS: The probability of hospitalization increased independently with polypharmacy (OR 1.086; CI95% 1.009-1.169), the Charlsonindex (OR 1.613; CI95% 1.158-2.247), the history of acute myocardial infarction (AMI) (OR 4.358; 95% CI 1.114-17.051) and the presence ofCOVID symptoms (OR 7.001; 95% CI 2.805-17.475). The probability of death was independently associated with age, increasing 8.1% (OD1.081; 95% CI 1.054- 1.110) for each year of the patient. CONCLUSIONS: Comorbidity, polypharmacy, history of AMI and the presence of COVID-19 symptoms predict the risk of hospitaliza-tion. The age of individuals predicts the risk of death. Detecting patients at high risk of hospitalization and death allows us to definethe target population and define measures to implement.(AU)
Subject(s)
Humans , Severe acute respiratory syndrome-related coronavirus , Coronavirus Infections/epidemiology , Pandemics , Coronavirus Infections/mortality , Hospitalization , Rural Population , Risk Factors , Public Health , Epidemiology, Descriptive , Retrospective Studies , Cohort Studies , SpainABSTRACT
Colonization of epithelium by microorganisms leads to inflammatory responses. In some cases an anti-apoptotic response involving the cellular inhibitor of apoptosis protein-2 (cIAP-2) also occurs. Although strong expression of cIAP-2 has been observed in lesional skin from psoriatic patients and in HaCaT keratinocytes treated with peptidoglycan (PGN) from Staphylococcus aureus, anti-apoptotic responses induced in the skin by cIAP-2 have seldom been studied. In this study, the effect of PGN on TNF-α-induced apoptotic HaCaT keratinocytes was assessed. Morphological analysis, quantification of cells with DNA fragmentation and active caspase-3 detection was performed to assess apoptotic cell death. Greater LL-37 and cIAP-2 production was found in keratinocytes stimulated with PGN than in non-treated cells (P < 0.05). In comparison with cells treated with TNF-α only, a significant reduction in apoptotic cell death was observed when HaCaT were pretreated with PGN before inducing apoptosis with TNF-α (P < 0.05). In addition, an inhibitor of cIAP-2 activity (LCL161) stopped the PGN effect. These findings show that PGN from S. aureus has an anti-apoptotic effect in keratinocytes mediated by cIAP-2 production, suggesting that this anti-apoptotic activity could favor proliferation of keratinocytes in psoriasis.
Subject(s)
Apoptosis , Inhibitor of Apoptosis Proteins/biosynthesis , Keratinocytes/metabolism , Keratinocytes/microbiology , Peptidoglycan/metabolism , Staphylococcus aureus/metabolism , Antimicrobial Cationic Peptides/genetics , Apoptosis/drug effects , Cell Line , Gene Expression , Humans , Inhibitor of Apoptosis Proteins/genetics , Interleukin-8/genetics , Keratinocytes/drug effects , Peptidoglycan/pharmacology , Tumor Necrosis Factor-alpha/metabolism , Tumor Necrosis Factor-alpha/pharmacology , CathelicidinsABSTRACT
El objetivo del trabajo fue determinar las condiciones óptimas para una aceleración de la cicatrización en piel de conejos mediante el tratamiento de la herida con laser de helio-neón HeNe (632.8 nm). Para este fin se usaron dos grupos de 5 conejos cada uno, en uno se aplicó el tratamiento con laser y el otro sirvió de control. A los animales se les realizó un resección de piel de 2 x 5 cm. El grupo experimental se irradió con laser helio-neón con una potencia de 0.1 mW a una distancia aproximada de 3 cm, con un barrido en toda la herida, por un lapso de 5 min/día. Se tomó biopsia después de las 24 horas al primer conejo, posteriormente, cada 24 horas se tomó un conejo distinto y se realizó el análisis histológico. En el grupo experimental se observó un aumento en la actividad de los procesos de reparación, en comparación con el grupo control, como fue la proliferación de fibroblastos y el incremento en la fibras de colágena que sellaron la herida a partir del cuarto día. En las condiciones antes mencionadas se redujo el tiempo de cicatrización, por lo menos en un 40 por ciento comparado con el grupo control
