Burden of respiratory failure in pediatric patients: Analysis of a prospective multicenter cohort in Bogotá, Colombia.

Background and Aims: The approach to the burden of disease is a demographic, economic, and a health problem, which requires the design and application of specific measures of cost of the disease, such as disability-adjusted life years (DALYs), to establish better public health policies in the pediatric population. The aim of this study is to approach the burden of disease in children with acute respiratory failure (ARF) through the calculation of DALYs. Methods: This study was conducted in the framework of a prospective, multicenter cohort in Bogotá, Colombia. Inclusion criteria were all pediatric patients admitted to the emergency department, hospitalization, and intensive care unit with respiratory distress; eligible patients were all those who developed ARF between April 2020 and December 2021. They were followed-up during hospitalization, at 30 and 60 days after admission. The Infant/Toddler Quality of Life Questionnaire and KIDSCREEN quality of life scales were applied for follow-up according to the age group. The results were used to calculate DALYs. Results: Six hundred and eighty-five eligible patients, 296 (43.08%) developed ARF, of these 22 (6.08%) patients died (mortality rate = 7.43%). The total DALYs was 277.164 years. For younger than 9 years, the DALYs were 302.64 years, while for older than 10 years were 40.49 years. Conclusion: ARF is one of the main causes of preventable mortality in pediatrics, its progression to respiratory failure is a highly prevalent condition in pediatric age, a condition that has a great impact on mortality, morbidity, and disability in our patients.

Impact of the COVID-19 pandemic on routine childhood immunisation in Colombia.

OBJECTIVE: To assess the impact of the COVID-19 pandemic on routine childhood vaccination coverage in Colombia by age group, rural/urban residence, state and vaccine type. DESIGN: Ecological study of official monthly vaccination records. SETTING: Vaccination records from the Colombian Ministry of Health (March-October 2019 and 2020). PARTICIPANTS: Aggregated data for Colombian children (<12 months, n=676 153; 12-23 months, n=700 319; and 5 years, n=734 295) participating in the Expanded Program on Immunization. MAIN OUTCOME MEASURES: Proportion of eligible population receiving vaccination. RESULTS: Vaccination coverage showed an overall decline of approximately 14.4% from 2019 to 2020 (2019 coverage=76.0, 2020 coverage=61.6%). The greatest reduction in proportion vaccinated was observed in children <12 months of age for pneumococcal vaccine (second dose) (2019 coverage=81.4%; 2020 coverage=62.2%; 2019-2020 absolute difference, 19.2%; 95% CI 14.8% to 23.7%). For children aged 12-23 months, the proportion vaccinated for yellow fever declined by 16.4% (12.4% to 20.9%) from 78.3% in 2019 to 61.8% in 2020. Among children 5 years of age, the biggest decrease occurred for the oral polio vaccine (second dose), with a difference of 11.4% (7.1% to 15.7%) between 2019 and 2020 (73.1% and 61.7% for 2019 and 2020). We observed a statistically significant effect on vaccine coverage in rural versus urban areas for children <12 months and 5 years of age. CONCLUSIONS: Reduced uptake of immunisations during the COVID-19 pandemic poses a serious risk of vaccine-preventable disease outbreaks. Colombia and other middle-income countries need to continue to monitor immunisation programme coverage and disease outbreaks at the national and subnational levels and undertake catch-up vaccination activities.

Socioeconomic variation of multimorbidity in Colombian older adults.

Multimorbidity (MM) prevalence among older adults is increasing worldwide. Variations regarding the socioeconomic characteristics of the individuals and their context have been described, mostly in high-income settings. However, further research is needed to understand the effect of the coexistence of infectious diseases along with socioeconomic factors regarding MM. This study aims to examine the variation of MM regarding infectious diseases mortality after adjusting for socioeconomic factors. A cross-sectional multilevel study with a nationally representative sample of 17,571 Colombian adults of 60 years of age or older was conducted. Individual socioeconomic, demographic, childhood and health related characteristics, as well as group level variables (multidimensional poverty index and infectious diseases mortality rate) were analyzed. A two-level stepwise structural equation model was used to simultaneously adjust for the individual and contextual effects. Multimorbidity prevalence was 62.3% (95% CI 61.7-62.9). In the multilevel adjusted models, age, female sex, having functional limitations, non-white ethnicity, high body mass index, higher income, physical inactivity and living in urban areas were associated with multimorbidity among the sample for this study. The median odds ratio for multidimensional poverty was 1.18 (1.16-1.19; p = 0.008) and for infectious diseases was 1.25 (1.22-1.28; p = 0.014). This paper demonstrates that MM varies regarding the mortality of infectious diseases and shows a strong association between MM and poverty in a low-middle income country. Differences in the factors involved in the etiology of multimorbidity are expected among wealthy and poor countries regarding availability and prioritization of health services.

Are we using the right method to estimate the number of COVID-19 cases?

The great concern stemming from the current COVID-19 pandemic has been a challenge for governments and international organizations around the world. Likewise, the diagnosis has played an important role in the prioritization processes, in particular, for the identification and follow-up of cases. In this context, PCR and serological tests have become the international standard; however, some limitations, as well as the scope of these techniques, must be understood in terms of population numbers. This comment seeks to clarify the interpretation of the results of these tests from a public health perspective.

Coinfection of other respiratory pathogens and HIV in COVID-19 patients: Is there a pattern?

The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) has led to the elaboration of multiple studies to increase knowledge and understanding, hence, having the ability to accomplish an adequate and timely diagnosis and give an optimal treatment according to the patient's condition. The clinical manifestations of COVID-19 pose a series of challenges both in understanding and delimiting the disease secondary to the SARS-CoV-2 infection. This is due to the fact that the main axis of this disease is the endothelial compromise and the production of a "cytokine storm," triggering multiple organ failure and death. Given that a complete understanding of its pathophysiology and clinical behavior has not yet been achieved, we wondered if coinfection with other respiratory viruses modifies its performance and outcomes described so far. A literature search was performed, obtaining 68 articles, of which 25 were analyzed. The analysis showed us that there is a high variety both in the types of associated infections and in the clinical behavior of patients and their outcomes. Therefore, we consider that the search for other infections should be performed exhaustively, especially in those cases that may be susceptible to treatment such as Influenza A, human immunodeficiency virus, or bacterial infections. As well as optimize the analysis of these cases and establish if there are characteristics that allow establishing the possibility of carrying an additional infection to that of SARS-CoV-2 and the implications for the management and prognosis of the patient.