Comparable diagnostic accuracy of SARS-CoV-2 Spike RBD and N-specific IgG tests to determine pre-vaccination nation-wide baseline seroprevalence in Mexico.

A major challenge for developing countries during the COVID-19 pandemic is affordable and adequate monitoring of disease progression and population exposure as the primary source relevant epidemiological indicators. Serology testing enables assessing population exposure and to guide vaccination strategies but requires rigorous accuracy validation before population-wide implementation. We adapted a two-step ELISA protocol as a single-step protocol for detection of IgG against the Receptor Binding Domain (RBD) of SARS-CoV-2 spike protein and compared its diagnostic accuracy with a commercial immunoassay anti-nucleoprotein IgG. Both methods yielded adequate and comparable diagnostic accuracy after 3 weeks post-symptom onset and were implemented in a nation-wide population based serological survey during August-November 2020. Anti-RBD National seroprevalence was 23.6%, 1.3% lower, but not significantly, than for anti-N. Double positive seroprevalence was 19.7%. Anti-N single-positive seroprevalence was 3.72% and anti-RBD single-positive seroprevalence was 1.98%. Discrepancies in the positivity to either single marker may be due to different kinetics of each antibody marker as well as the heterogeneity of the sampling time in regards to local epidemic waves. Baseline single positivity prevalence will be useful to assess the serological impact of vaccination and natural infection in further serosurveillance efforts.

Plataforma CLIMSS como herramienta de alfabetización en salud durante la crisis sanitaria de Covid-19.

OBJETIVO: Describir a la plataforma Cursos en Línea Masivos del IMSS (CLIMSS) como herramienta de alfabetización en salud, a través de la evaluación de la eficiencia terminal, la ganancia de competencias y satisfacción de los usuarios de cursos en línea masivos en el tema de Covid-19. Material y métodos. Se analizaron datos de 20 cursos ofertados entre marzo y octubre de 2020. Se evaluaron las calificaciones pre y pos, el número total de registros, el total de cursos terminados y la satisfacción del usuario. RESULTADOS: Se registraron un total de 4.9 millones de usuarios y 10 millo-nes de inscripciones, en todos los estados de la República mexicana, con una eficiencia terminal de 85%, una ganancia de competencias de 30% y una satisfacción de 9.34 (10). CONCLUSIONES: La plataforma CLIMSS ha mostrado ser una herramienta para la alfabetización en salud con un alcance de millones de mexicanos en temas relacionados con la crisis sanitaria Covid-19.

Multimorbidity matters in low and middle-income countries.

Multimorbidity is a complex challenge affecting individuals, families, caregivers, and health systems worldwide. The burden of multimorbidity is remarkable in low- and middle-income countries (LMICs) given the many existing challenges in these settings. Investigating multimorbidity in LMICs poses many challenges including the different conditions studied, and the restriction of data sources to relatively few countries, limiting comparability and representativeness. This has led to a paucity of evidence on multimorbidity prevalence and trends, disease clusters, and health outcomes, particularly longitudinal outcomes. In this paper, based on our experience of investigating multimorbidity in LMICs contexts, we discuss how the structure of the health system does not favor addressing multimorbidity, and how this is amplified by social and economic disparities and, more recently, by the COVID-19 pandemic. We argue that generating epidemiologic data around multimorbidity with similar methods and definition is essential to improve comparability, guide clinical decision-making and inform policies, research priorities, and local responses. We call for action on policy to refinance and prioritize primary care and integrated care as the center of multimorbidity.

SARS-CoV-2 infection fatality rate after the first epidemic wave in Mexico.

BACKGROUND: Estimates of SARS-CoV-2 infection fatality rates (IFRs) in developing countries remain poorly characterized. Mexico has one of the highest reported COVID-19 case-fatality rates worldwide, although available estimates do not consider serologic assessment of prior exposure nor all SARS-CoV-2-related deaths. We aimed to estimate sex- and age-specific IFRs for SARS-CoV-2 in Mexico. METHODS: The total number of people in Mexico with evidence of prior SARS-CoV-2 infection was derived from National Survey of Health and Nutrition-COVID-19 (ENSANUT 2020 Covid-19)-a nationally representative serosurvey conducted from August to November 2020. COVID-19 mortality data matched to ENSANUT's dates were retrieved from the death-certificate registry, which captures the majority of COVID-19 deaths in Mexico, and from the national surveillance system, which covers the subset of COVID-19 deaths that were identified by the health system and were confirmed through a positive polymerase chain reaction test. We analysed differences in IFRs by urbanization and region. RESULTS: The national SARS-CoV-2 IFR was 0.47% (95% CI 0.44, 0.50) using death certificates and 0.30% (95% CI 0.28, 0.33) using surveillance-based deaths. The IFR increased with age, being close to zero at age <30 years, but increasing to 1% at ages 50-59 years in men and 60-69 years in women, and being the highest at ≥80 years for men (5.88%) and women (6.23%). Across Mexico's nine regions, Mexico City (0.99%) had the highest and the Peninsula (0.26%) the lowest certificate-based IFRs. Metropolitan areas had higher certificate-based IFR (0.63%) than rural areas (0.17%). CONCLUSION: After the first wave of the COVID-19 pandemic, the overall IFR in Mexico was comparable with those of European countries. The IFR in Mexico increased with age and was higher in men than in women. The variations in IFRs across regions and places of residence within the country suggest that structural factors related to population characteristics, pandemic containment and healthcare capabilities could have influenced lethality at the local level.

Nationally representative SARS-CoV-2 antibody prevalence estimates after the first epidemic wave in Mexico.

Seroprevalence surveys provide estimates of the extent of SARS-CoV-2 infections in the population, regardless of disease severity and test availability. In Mexico in 2020, COVID-19 cases reached a maximum in July and December. We aimed to estimate the national and regional seroprevalence of SARS-CoV-2 antibodies across demographic and socioeconomic groups in Mexico after the first wave, from August to November 2020. We used nationally representative survey data including 9,640 blood samples. Seroprevalence was estimated by socioeconomic and demographic characteristics, adjusting by the sensitivity and specificity of the immunoassay test. The national seroprevalence of SARS-CoV-2 antibodies was 24.9% (95%CI 22.2, 26.7), being lower for adults 60 years and older. We found higher seroprevalence among urban and metropolitan areas, low socioeconomic status, low education and workers. Among seropositive people, 67.3% were asymptomatic. Social distancing, lockdown measures and vaccination programs need to consider that vulnerable groups are more exposed to the virus and unable to comply with lockdown measures.

Seroprevalencia de SARS-CoV-2 en adultos y adultos mayores en México y su asociación con enfermedades crónicas. Ensanut 2020 Covid-19.

Objetivo. Analizar la asociación entre seropositividad a SARS-CoV-2 y enfermedades crónicas en adultos y adultos mayores mexicanos. Material y métodos. Se utilizó la Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19 (Ensanut 2020 Covid-19) para evaluar la asociación de seropositividad a SARS-CoV-2 con hipertensión arterial sistémica, diabetes tipo 2, índice de masa corporal, LDL-c elevado, HDL-c bajo, colesterol total elevado e hipertrigliceridemia. Resultados. Se observó una mayor seropositividad en personas con mayor índice de masa corporal. La seroprevalencia fue 25% mayor entre los adultos que presentaban obesidad en comparación con aquellos de peso normal en modelos ajustados (RP: 1.25 IC95%: 1.08,1.46). No se observó asociación entre seropositividad y otras enfermedades crónicas en adultos o adultos mayores. Conclusiones. Las personas con obesidad podrían tener una mayor susceptibilidad a la infección por SARS-CoV-2. Este hallazgo debe ser confirmado con estudios longitudinales. No se encontró evidencia de asociación para otras enfermedades.

Fraction of COVID-19 hospitalizations and deaths attributable to chronic diseases.

Evidence shows that chronic diseases are associated with COVID-19 severity and death. This study aims to estimate the fraction of hospitalizations and deaths from COVID-19 attributable to chronic diseases associated to poor nutrition and smoking among adults who tested positive to COVID-19 in Mexico. We analyzed 1,006,541 adults aged ≥20 who tested positive for COVID-19 from March 23 to December 5, 2020. Six chronic diseases were considered: obesity, chronic obstructive pulmonary disease (COPD), hypertension, diabetes, cardiovascular disease, and chronic kidney disease (CKD). We calibrated the database using a bias quantification method to consider undiagnosed disease cases. To estimate the total impact of multiple diseases, we defined a multimorbidity variable according to the number of diseases. Risks of hospitalization and death were estimated with Poisson regression models and used to calculate population attributable fractions (PAFs). Chronic diseases accounted for to 25.4% [95% CI: 24.8%-26.1%], 28.3% (95% CI: 27.8%-28.7%) and 15.3% (95% CI: 14.9%-15.7%) of the hospitalizations among adults below 40, 40-59, and 60 years and older, respectively. For COVID-19-related deaths, 50.1% (95% CI: 48.6%-51.5%), 40.5% (95% CI: 39.7%-41.3%), and 18.7% (95% CI, 18.0%-19.5%) were attributable to chronic diseases in adults under 40, 40-59, and 60 years and older, respectively. Chronic diseases linked to poor nutrition and smoking could have contributed to a large burden of hospitalization and deaths from COVID-19 in Mexico, particularly among younger adults. Medical and structural interventions to curb chronic disease incidence and facilitate disease control are urgently needed.

Prevalence of diabetes and glycemic control in Mexico: national results from 2018 and 2020.

OBJECTIVE: To estimate the prevalence of diabetes (diagnosed and undiagnosed), glycemic control in Mexico, and its associated factors. MATERIALS AND METHODS: We used data from Ensanut 2018 (n=12 648) and 2020 (n=2 309). We defined diabetes as fasting glucose ≥126 mg/dl or HbA1c≥6.5% or previously diagnosed; glycemic control was defined as HbA1c<7%. We fitted Poisson regression models to assess the association between diabetes, glycemic control, and potential associated factors. RESULTS: The total prevalence of diabetes was 16.8% in 2018 and 15.7% in 2020. In 2018, 38% of adults with diabetes were unaware of their disease, while in 2020 this figure was 29%. Glycemic control was observed in 42% of participants in 2018 and 39% in 2020. Longer disease duration was associated with lower glycemic control, while older age, having a diet, and being affiliated to IMSS, Pemex, Sedena, or private healthcare were associated with better control. CONCLUSION: Mexico is among the countries with the highest diabetes prevalence. A high proportion of adults with diabetes did not have a previous diagnosis, and the proportion with glycemic control is low. Strengthening screening to achieve a timely diagnosis, and improving glycemic control, should be key actions in the management of diabetes.

Acceptance, refusal and hesitancy of Covid-19 vaccination in Mexico: Ensanut 2020 Covid-19.

OBJECTIVE: To estimate the willingness to vaccinate against Covid-19 (acceptance) in the Mexican population and to iden-tify socioeconomic factors associated with vaccine hesitancy and refusal. MATERIALS AND METHODS: We estimated the acceptance, refusal and hesitancy proportions using data from the Covid-19 National Health and Nutrition Survey conducted from August to November 2020. Factors associated with re-fusal and hesitancy were explored using multinomial logistic regression. RESULTS: Covid-19 vaccination acceptance was 62.3%, refusal 28.2% and hesitancy 9.5%. Refusal and hesitancy were associated with being female, having older age, lower educational level, lower socioeconomic status and working in the informal sector. CONCLUSION: National campaigns to incentivize vaccine acceptance need to consider specific subgroups were the likelihood of hesitancy and refusal is high. In Mexico, refusal and hesitancy were higher in vulnerable groups, and people at a higher risk of Covid-19 complica-tions and death.