SARS-COVID-19 antibodies in pregnant women at a level III hospital in Peru / SARS-COVID-19 antibodies in pregnant women at a level III hospital in Peru / Anticuerpos anti-SARS-COV-2 en gestantes en un hospital nivel III de Perú

RESUMEN Introducción . La enfermedad de COVID-19 se propaga rápidamente. Se desconoce la seroprevalencia en mujeres embarazadas que ingresan a hospitalización y sus características propias en este tipo de población en Perú. Objetivo . Determinar la prevalencia y características clínico-epidemiológicas de gestantes con anticuerpos anti-SARS-CoV-2 en un hospital nivel III de Perú. Métodos . Estudio observacional de tipo transversal, realizado en el Instituto Nacional Materno Perinatal de Perú, entre el 15 de abril y 15 de mayo de 2020. Participaron todas las gestantes que ingresaron a hospitalización y fueron tamizadas para la infección por SARS-CoV-2 mediante pruebas serológicas, cuyos resultados fueron analizados conjuntamente con sus características clínicas y epidemiológicas, utilizando estadígrafos descriptivos e intervalos de confianza al 95%, y mediante la prueba de independencia de chi cuadrado con una significancia de 0,05. Resultados . Se tamizaron 2 419 embarazadas, identificando una prevalencia de 7,0% con resultados positivos a los anticuerpos anti-SARS-CoV-2 (IC95%: 6,1% a 8,1%). Se observó IgM en 10% (IC95%: 6,1% a 15,8%), IgM/IgG en 78,8% (IC95%: 71,8% a 84,6%), IgG en 11,2% (IC95%: 7% a 17,1%). El 89,4% de gestantes seropositivas fueron asintomáticas. Se observó como complicaciones obstétricas más frecuentes la rotura prematura de membranas (11,8%) y la preeclampsia (6,5%). No se halló asociación de las características clínico epidemiológicas y el tipo de respuesta serológica para el virus SARS-CoV-2 (p>0,05). Conclusiones . Las gestantes con ingreso hospitalario en el periodo estudiado presentaron prevalencia de anticuerpos anti-SARS-CoV-2 de 7,0%, siendo mayormente asintomáticas. No se evidenció asociación entre las características clínico-epidemiológicas analizadas y el tipo de respuesta de los anticuerpos anti- SARS-CoV-2.

ABSTRACT Introduction: COVID-19 disease spreads rapidly. Seroprevalence in pregnant women entering for hospitalization and clinical characteristics in this type of population in Peru is not known. Objective: To determine the prevalence and clinical-epidemiological characteristics of pregnant women with anti-SARS-CoV-2 antibodies at a level III hospital in Peru. Methods: Observational and cross-sectional study performed at the National Maternal Perinatal Institute of Peru. Pregnant women admitted for hospitalization were screened for COVID-19 infection. Results of anti-SARSCoV-2 serological tests and information on maternal and perinatal characteristics were obtained. Data analysis was performed using descriptive statistics and 95% confidence intervals. Results: In 2 419 pregnant women screened we identified a prevalence of 7.0% of anti-SARS-CoV-2 antibodies (95% IC: 6.1% to 8.1%), including IgM in 10% (95% IC: 6.1% to 15.8%), IgM / IgG in 78.8% (95% IC: 71.8% to 84.6%), IgG in 11.2% (95% IC: 7.0% to 17.1%). 89.4% of the seropositive pregnant women were asymptomatic. Most frequent complications were premature rupture of membranes (11.8%) and preeclampsia (6.5%). No association was found between clinical and epidemiologic characteristics and type of serological response to SARS-CoV-2 (p > 0.05). Conclusions: Pregnant women had prevalence of anti-SARS-CoV-2 antibodies of 7.0% on admission to the hospital; most of them were asymptomatic. There was no association between clinical-epidemiological characteristics analyzed and type of anti-SARS-CoV-2 antibody response.

Covid-19 pandemic and effect of containment measures in the Peruvian population: A SIR mathematical modeling

Introduction: The evolution of the COVID-19 pandemic varies in each population;it has been complicating health systems worldwide. Objective: to analyze the evolution of the Covid-19 pandemic, estimating the effect of the containment measures practiced in Peru. Material and Method: The SIR epidemiological mathematical modeling was applied, estimating the COVID-19 evolution in our population. Data analysis was performed following the SIR mathematical model with defined ordinary differential equations to simulate epidemiological behavior;and it was executed in the RStudio programming language. Results: Containment measures decreased the propagation rate, reducing 30% of infected cases until the peak day of infection;however, it is still above the effective reproductive number to control the epidemic and it shows an erratic trend, the result of government actions being 61% in the practice of containment measures. Conclusions: Containment measures are necessary if strategies are considered to make their role effective in our population.