[Multicenter study of COVID-19 incidence and determinants in Argentinian physicians]. / Estudio multicéntrico de incidencia y determinantes de COVID-19 en médicos de Argentina.

BACKGROUND: Information about COVID infection in physicians is limited. This knowledge would allow the implementation of actions to reduce its impact. The objective was determining the incidence of SARSCoV-2 infection in physicians from health institutions in Argentina, its characteristics, and associated factors. METHODS: We conducted a multicenter prospective / retrospective cohort study with nested case-control study. Physicians active at the beginning of the pandemic were included, those on leave due to risk factors were excluded. The incidence of confirmed cases was estimated. We conducted bivariate analyses with various factors and used those significant in a logistic regression. RESULTS: Three hundred and forty three physicians with COVID-infection from 8 centers were included. The incidence of disease was 12.1% and that of global absenteeism related to COVID, 34.1%. Almost 70% of close contacts were work-related. In the multivariate analysis living in Autonomous City of Buenos Aires (CABA) (OR 0.19, p = 0.01), working in high-risk areas (OR 0.22, p = 0.01) and individual transportation (OR 0, 34, p = 0.03) reduced the risk of COVID. The odds of infection increased 5.6 times (p = 0.02) for each close contact isolation. DISCUSSION: The number of close contact isolation increased considerably the risk of infection. Living in Buenos Aires City, individual transportation and working in high-risk areas reduced it. Given the high frequency of close contact in the workplace, we strongly recommend the reinforcement of prevention measures in rest areas and non-COVID-wards.

Introducción: La información sobre COVID en médicos es limitada. Su conocimiento permitiría implementar acciones para reducir su impacto. El objetivo general fue determinar la incidencia de infección por SARS-CoV-2 en médicos de instituciones de salud de Argentina, sus características y factores asociados. Materiales y Métodos: Se realizó un estudio multicéntrico de cohorte prospectiva/retrospectiva con estudio de casos-controles anidado. Se incluyeron médicos activos al inicio de la pandemia no exceptuados por riesgo. Se estimó incidencia de casos confirmados. Se compararon factores asociados en casos y controles y se creó un modelo de regresión logística con las variables significativas del análisis bivariado. Resultados: Se incluyeron 343 médicos con COVID de 8 centros. La incidencia de la enfermedad fue de 12.1% y la de ausentismo global relacionado a COVID, de 34.1%. El 70% de los contactos estrechos fueron laborales. En el análisis multivariado de casos y controles, la residencia en la Ciudad Autónoma de Buenos Aires (OR 0.19, p = 0.01), el trabajo en áreas de alto riesgo (OR 0.22, p = 0.01) y vehículo individual (OR 0.34, p = 0.03) redujeron el riesgo de COVID. El odds de enfermar aumentó 4.6 veces (p = 0.02) por cada aislamiento por contacto estrecho. Discusión: El riesgo de enfermar aumentó considerablemente con cada aislamiento por contacto estrecho. La residencia en Ciudad Autónoma, el traslado en vehículo individual y el trabajo en áreas de alto riesgo lo redujeron. Dada la alta frecuencia de contactos estrechos en el ámbito laboral recomendamos reforzar las medidas de prevención en áreas de descanso y no COVID.

Estudio multicéntrico de incidencia y determinantes de COVID-19 en médicos de Argentina / Multicenter study of COVID-19 incidence and determinants in Argentinian physicians

Resumen Introducción: La información sobre COVID en médicos es limitada. Su conocimiento permitiría implementar acciones para reducir su impacto. El objetivo general fue determinar la incidencia de infección por SARS-CoV-2 en médicos de instituciones de salud de Argentina, sus características y factores aso ciados. Materiales y Métodos: Se realizó un estudio multicéntrico de cohorte prospectiva/retrospectiva con estudio de casos-controles anidado. Se incluyeron médicos activos al inicio de la pandemia no exceptuados por riesgo. Se estimó incidencia de casos confirmados. Se compararon factores asociados en casos y controles y se creó un modelo de regresión logística con las variables significativas del análisis bivariado. Resultados: Se incluyeron 343 médicos con COVID de 8 centros. La incidencia de la enfermedad fue de 12.1% y la de ausentismo global relacionado a COVID, de 34.1%. El 70% de los contactos estrechos fueron laborales. En el análisis multivariado de casos y controles, la residencia en la Ciudad Autónoma de Buenos Aires (OR 0.19, p = 0.01), el trabajo en áreas de alto riesgo (OR 0.22, p = 0.01) y vehículo individual (OR 0.34, p = 0.03) redujeron el riesgo de COVID. El odds de enfermar aumentó 4.6 veces (p = 0.02) por cada aislamiento por contacto estrecho. Discusión: El riesgo de enfermar aumentó considerablemente con cada aislamiento por contacto estrecho. La residencia en Ciudad Autónoma, el traslado en vehículo individual y el trabajo en áreas de alto riesgo lo redujeron. Dada la alta frecuencia de contactos estrechos en el ámbito laboral recomendamos reforzar las medidas de prevención en áreas de descanso y no COVID.

Abstract Background: Information about COVID infection in physicians is limited. This knowledge would allow the implementation of actions to reduce its impact. The objective was determining the incidence of SARS-CoV-2 infection in physicians from health institutions in Argentina, its characteristics, and associated factors. Methods: We conducted a multicenter prospective / retrospective cohort study with nested case-control study. Physicians active at the beginning of the pandemic were included, those on leave due to risk factors were excluded. The incidence of confirmed cases was estimated. We conducted bivariate analyses with various factors and used those significant in a logistic regression. Results: Three hundred and forty three physicians with COVID-infection from 8 centers were included. The incidence of disease was 12.1% and that of global absenteeism related to COVID, 34.1%. Almost 70% of close contacts were work-related. In the multivariate analysis living in Autonomous City of Buenos Aires (CABA) (OR 0.19, p = 0.01), working in high-risk areas (OR 0.22, p = 0.01) and individual transportation (OR 0, 34, p = 0.03) reduced the risk of COVID. The odds of infection increased 5.6 times (p = 0.02) for each close contact isolation. Discussion: The number of close contact isolation increased considerably the risk of infection. Living in Buenos Aires City, individual transpor tation and working in high-risk areas reduced it. Given the high frequency of close contact in the workplace, we strongly recommend the reinforcement of prevention measures in rest areas and non-COVID-wards.

The effect of dietary patterns on hypertensive disorders of pregnancy in North Shewa, Ethiopia: A propensity score matched case-control study.

OBJECTIVE: This study aimed to assess the effect of dietary patterns during pregnancy on HDP. A propensity score matched case-control study was conducted with 340 pregnant women (71 cases and 269 controls) in North Shewa Zone, Ethiopia. Data were collected through an interviewer-administered questionnaire and maternal anthropometry measurements. After propensity score matching, a conditional logistic regression model was used to identify the independent predictors of HDP by adjusting for the confounders. A p-value of < 0.05 was taken as statistically significant. RESULTS: A high dietary diversity score (Adjusted Odd Ratio (AOR) = 0.45; 95% CI: 0.21, 0.93) was associated with a lower odds of HDP. Being merchant (AOR = 3.71 (95% CI: 1.16, 11.89), having previous history of HDP (AOR = 27.58; 95% CI: 4.53, 168.06) and high hemoglobin level (AOR = 2.26; 95% CI: 1.66, 3.09) were associated with an increased odds of HDP. Diet is an amendable factor, and the promotion of diversified diet is an important approach for preventing the occurrence of HDP. Women should be counselled to diversify their dietary intake to include a high amount of vegetables, legumes, and fruit.

Estudios de casos y controles / Case-Control Studies

Los estudios de casos y controles son estudios epidemiológicos observacionales analíticos utilizados generalmente para evaluar factores asociados a condiciones de presentación infrecuente. Su jerarquía dentro de la pirámide de evidencia se ubica en un lugar intermedio, generalmente con un nivel de evidencia considerado mayor que los estudios transversales analíticos y menor que los estudios de cohorte. La medida de asociación utilizada para estos estudios es el Odds Ratio (o razón de momios). Algunas variantes de este diseño como los estudios de casos y controles incidentes y los anidados (dentro de una cohorte) permiten disminuir el riesgo de sesgo de selección. Se revisan los conceptos básicos relacionados a este tipo de estudios.

Case-control studies are analytical observational epidemiological studies generally devoted to evaluate factors associated with infrequent diseases. Its hierarchy within the pyramid of evidence lies in an intermediate place between cross sectional and cohort studies. The measure of association used for these studies is the Odds Ratio. Some variants of this design, such as incident and nested case studies and nested case-control studies (within a cohort) can reduce the risk of selection bias. The basic concepts related to this type of studies are reviewed.

Low 2016/17 season vaccine effectiveness against hospitalised influenza A(H3N2) among elderly: awareness warranted for 2017/18 season.

In a multicentre European hospital study we measured influenza vaccine effectiveness (IVE) against A(H3N2) in 2016/17. Adjusted IVE was 17% (95% confidence interval (CI): 1 to 31) overall; 25% (95% CI: 2 to 43) among 65-79-year-olds and 13% (95% CI: -15 to 30) among those ≥ 80 years. As the A(H3N2) vaccine component has not changed for 2017/18, physicians and public health experts should be aware that IVE could be low where A(H3N2) viruses predominate.

Minor allele C of rs12807809 polymorphism in NRGN contributes to the severity of psychosis in patients with Schizophrenia in South Indian population.

Schizophrenia (SCZ) as a severe and complex neuropsychiatric disorder and is characterized by positive symptoms, negative symptoms and cognitive dysfunctions. Genome-wide association studies (GWAS) have identified a strong association between the single nucleotide polymorphism (SNP) rs12807809 upstream of Neurogranin (NRGN) in a European population. This evidence prompted us to conduct an association study among 1005 schizophrenia cases and 1069 controls in a South Indian Population using TaqMan Allelic discrimination method. We observed an association of rs12807809 with SCZ in this study population. Allele frequencies and genotype frequencies of rs12807809 showed significant differences between cases and control subjects [p=0.0019; OR=0.69; 95% CI=(0.55-0.87)] and (p=0.0062). Further Genotype-Phenotype correlation revealed a moderate association of rs12807809 with flat affect (p=0.039) and Hallucinations (p=0.012). The ancestral non-risk C allele contributes to the severity of psychosis (p=0.039) in this population.

Agricultural crop exposure and risk of childhood cancer: new findings from a case-control study in Spain.

BACKGROUND: Childhood cancer is the main cause of disease-related death in children in Spain. Although little is known about the etiology, environmental factors are potential explanations for a fraction of the cases. Previous studies have shown pesticides to be associated with childhood cancer. The difficulty of collecting personal environmental exposure data is an important limitation; this lack of information about pesticides motivates the development of new methods to subrogate this exposure. We developed a crop exposure index based on geographic information to study the relationship between exposure to different types of crops and risk of childhood tumors. METHODS: We conducted a population-based case-control study of childhood cancer covering 3350 cases and 20,365 controls in two Spanish regions. We used CORINE Land Cover to obtain data about agricultural land use. We created a 1 km buffer around every child and calculated the percentage of crop surface within the buffer (Global Crop Index) for total crops and for individual types of crops. We fitted mixed multiple unconditional logistic regression models by diagnostic group. RESULTS: We found excess of risk among children living in the proximity of crops. For total crops our results showed excesses of risk for almost all diagnostic groups and increasing risk with increasing crop index value. Analyses by region and individual type of crop also showed excess of risk. CONCLUSION: The results suggest that living in the proximity of cultivated land could be a risk factor for several types of cancer in children.