[Comparison of the demographic characteristics and comorbidities of patients with COVID-19 who died in Spanish hospitals based on whether they were or were not admitted to an intensive care unit]

Spatio-temporal multidisciplinary analysis of socio-environmental conditions to explore the COVID-19 early evolution in urban sites in South America

This study aimed to analyse how socio-environmental conditions affected the early evolution of COVID-19 in 14 urban sites in South America based on a spatio-temporal multidisciplinary approach. The daily incidence rate of new COVID-19 cases with symptoms as the dependent variable and meteorological-climatic data (mean, maximum, and minimum temperature, precipitation, and relative humidity) as the independent variables were analysed. The study period was from March to November of 2020. We inquired associations of these variables with COVID-19 data using Spearman's non-parametric correlation test, and a principal component analysis considering socio economic and demographic variables, new cases, and rates of COVID-19 new cases. Finally, an analysis using non-metric multidimensional scale ordering by the Bray-Curtis similarity matrix of meteorological data, socio economic and demographic variables, and COVID-19 was performed. Our findings revealed that the average, maximum, and minimum temperatures and relative humidity were significantly associated with rates of COVID-19 new cases in most of the sites, while precipitation was significantly associated only in four sites. Additionally, demographic variables such as the number of inhabitants, the percentage of the population aged 60 years and above, the masculinity index, and the GINI index showed a significant correlation with COVID-19 cases. Due to the rapid evolution of the COVID-19 pandemic, these findings provide strong evidence that biomedical, social, and physical sciences should join forces in truly multidisciplinary research that is critically needed in the current state of our region.

Incidence, Clinical Characteristics, Risk Factors and Outcomes of Acute Coronary Syndrome in Patients With COVID-19: Results of the UMC-19-S1010

BACKGROUND

There is a lack of knowledge about the real incidence of acute coronary syndrome (ACS) in patients with COVID-19, their clinical characteristics, and their prognoses.

OBJECTIVE

We investigated the incidence, clinical characteristics, risk factors, and outcomes of ACS in patients with COVID-19 in the emergency department.

METHODS

We retrospectively reviewed all COVID-19 patients diagnosed with ACS in 62 Spanish emergency departments between March and April 2020 (the first wave of COVID-19). We formed 2 control groups: COVID-19 patients without ACS (control A) and non-COVID-19 patients with ACS (control B). Unadjusted comparisons between cases and control subjects were performed regarding 58 characteristics and outcomes.

RESULTS

We identified 110 patients with ACS in 74,814 patients with COVID-19 attending the ED (1.48% [95% confidence interval {CI} 1.21-1.78%]). This incidence was lower than that observed in non-COVID-19 patients (3.64% [95% CI 3.54-3.74%]; odds ratio [OR] 0.40 [95% CI 0.33-0.49]). The clinical characteristics of patients with COVID-19 associated with a higher risk of presenting ACS were: previous coronary artery disease, age ≥60 years, hypertension, chest pain, raised troponin, and hypoxemia. The need for hospitalization and admission to intensive care and in-hospital mortality were higher in cases than in control group A (adjusted OR [aOR] 6.36 [95% CI 1.84-22.1], aOR 4.63 [95% CI 1.88-11.4], and aOR 2.46 [95% CI 1.15-5.25]). When comparing cases with control group B, the aOR of admission to intensive care was 0.41 (95% CI 0.21-0.80), while the aOR for in-hospital mortality was 5.94 (95% CI 2.84-12.4).

CONCLUSIONS

The incidence of ACS in patients with COVID-19 attending the emergency department was low, around 1.48%, but could be increased in some circumstances. Patients with COVID-19 with ACS had a worse prognosis than control subjects with higher in-hospital mortality.

Spontaneous Pneumothorax as a Late Complication of Mild COVID-19 Infection: A Case Report

Spontaneous pneumothorax (PTX) is a rare but life-threatening complication of lung injuries sustained from severe COVID-19 infection, most commonly associated with mechanical ventilation. Development of spontaneous PTX in patients after only mild COVID-19 infections not requiring hospitalization is even rarer. Here, we present the case of a 37-year-old male with spontaneous PTX secondary to a mild COVID-19 infection diagnosed one-month prior. A computed tomography (CT) scan of the chest revealed new air-filled cysts thought to be mediated by the inflammatory response to his acute infection, and his PTX was thought to be secondary to cyst wall rupture due to prolonged coughing. He was successfully treated with a chest tube and supplemental oxygen and, at a two-month follow-up, demonstrated clinical and radiographic improvement.

COVID-19 Mortality Rate and Its Incidence in Latin America: Dependence on Demographic and Economic Variables

The pandemic caused by COVID-19 has left millions infected and dead around the world, with Latin America being one of the most affected areas. In this work, we have sought to determine, by means of a multiple regression analysis and a study of correlations, the influence of population density, life expectancy, and proportion of the population in vulnerable employment, together with GDP per capita, on the mortality rate due to COVID-19 in Latin American countries. The results indicated that countries with higher population density had lower numbers of deaths. Population in vulnerable employment and GDP showed a positive influence, while life expectancy did not appear to significantly affect the number of COVID-19 deaths. In addition, the influence of these variables on the number of confirmed cases of COVID-19 was analyzed. It can be concluded that the lack of resources can be a major burden for the vulnerable population in combating COVID-19 and that population density can ensure better designed institutions and quality infrastructure to achieve social distancing and, together with effective measures, lower death rates.

Case Report: Massive Spontaneous Pneumothorax-A Rare Form of Presentation for Severe COVID-19 Pneumonia

Background and Objectives: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is a viral disease that is spreading worldwide and became a pandemic. Although most of the time, the symptoms of the infection are flu like, a percentage of patients develop severe forms, along with severe complications. Many of them are known among front-line health workers, but the number of uncommon presentations and complications has increased. This case report aims to alert healthcare workers on less common forms of presentation, and to introduce this differential diagnosis in the evaluation of patients with COVID-19, given the increasing occurrence of pneumothorax in patients who are not mechanical ventilated. Case presentation: A 57-year-old female patient came to the Emergency Department (ED) by ambulance, with acute respiratory failure. She had SpO₂ (peripheral O₂ saturation ) = 43% on room air at home, and 86% on admission in ED after oxygen delivery (on a reservoir mask). SARS-CoV-2 infection was suspected based on symptoms that started three days ago (fever, dry cough, dyspnea, and fatigability). Blood was taken for lab tests, pharyngeal and nasal swabs for the reverse transcription–PCR (RT-PCR) test, and native computed tomography (CT) was scheduled. The thoracic CT scan showed massive right pneumothorax, partially collapsed lung, multiple bilateral lung infiltrates with a ground glass aspect and the RT-PCR test came back positive for SARS-CoV-2 infection. Despite the prompt diagnosis and treatment of pneumothorax (thoracostomy was performed and the drain tube was placed), the patient died after a long hospitalization in the intensive care unit. Conclusion: Secondary spontaneous pneumothorax (SSP), as a complication in severe forms of COVID-19 pneumonia, especially in female patients without risk factors is rare, and early diagnosis and treatment are essential for increasing the survival chances of these patients.