Impact of COVID-19 Pandemic on Seroprevalence of HIV, HBV, HCV and HTLV I-II in a Blood Bank in Medellín, Colombia, 2019-2022.

The objective of this research was to analyze the impact of the COVID-19 pandemic on seroprevalence of HIV, HBV, HCV and HTLV I-II in donors from a blood bank in Medellin, Colombia, 2019-2022. A cross-sectional analytical study was carried out with three groups: pre-pandemic with 14,879 donors; preventive isolation with 9035; and selective isolation + new normality with 26,647 subjects. Comparisons were made with Chi2 and Bonferroni adjustment, Kruskal-Wallis' H with Dunnett's post-hoc, prevalence ratios, and multivariate logistic regression. COVID-19 decreased donations of men, altruistic and repetitive donors, and increased the age of donors. HIV increased with the COVID-19 pandemic, while HBV, HCV, and HTLV I-II decreased. The pandemic had an independent effect on these viral infections. These findings constitute an alert about what may be happening in the general population and show the importance of improving epidemiological surveillance and the investigation of these infections.

Asignatura pendiente de la co-gestión en el geoturismo: Análisis del Geoparque Global de El Hierro

El presente estudio tuvo como objetivo analizar la participación comunitaria en la co-gestión del Geoparque Global de la Unesco de El Hierro (Islas Canarias, España) posterior a la primera revalidación en 2018 (aprobada con recomendaciones sobre este aspecto) y anterior a la siguiente de 2022. Realizado en plena crisis (Covid-19), planteaba si el proceso regenerativo posterior para la isla necesitaba abarcar la co-gestión participativa central al nombramiento de la UNESCO para garantizar la resiliencia, y si la comunidad de hecho percibía esa necesidad y el deseo de tomar control de su destino, sobre todo en el aspecto geoturístico. El contexto de las restricciones pandémicas hizo que se optara por encuestas on-line y entrevistas telefónicas (posteriormente transcritas y firmadas) con la comunidad. Los resultados preliminares muestran claramente que la población considera que El Geoparque Global es importante para ellos y manifiestan el deseo de mayor participación en su destino.Alternate : The present study was designed to analyse community participation in the co-management of the UNESCO Global Geopark of El Hierro (The Canary Islands, Spain) after its first revalidation process in 2018 (where this aspect figured as central, pending attention) and previous to the 2022 revalidation. The study was carried out at the height of the crisis caused by the Covid-19 pandemic and was planned to detect whether in the later process of regeneration, the island should finally tackle the co-management principle central to the socio-geological model of the UNESCO GLOBAL Geopark for resilience, and if the community itself perceived the need to take control of their own destiny and destination, above all in its aspect of geotourism. The preliminary results show clearly that the Global Geopark is considered to be important by the community and that there is also a strong desire for greater participation and implication than at present.

Factors associated to the duration of COVID-19 lockdowns in Chile.

During the first year of the COVID-19 pandemic, several countries have implemented non-pharmacologic measures, mainly lockdowns and social distancing, to reduce the spread of the SARS-CoV-2 virus. These strategies varied widely across nations, and their efficacy is currently being studied. This study explores demographic, socioeconomic, and epidemiological factors associated with the duration of lockdowns applied in Chile between March 25th and December 25th, 2020. Joint models for longitudinal and time-to-event data were used. In this case, the number of days under lockdown for each Chilean commune and longitudinal information were modeled jointly. Our results indicate that overcrowding, number of active cases, and positivity index are significantly associated with the duration of lockdowns, being identified as risk factors for longer lockdown duration. In short, joint models for longitudinal and time-to-event data permit the identification of factors associated with the duration of lockdowns in Chile. Indeed, our findings suggest that demographic, socioeconomic, and epidemiological factors should be used to define both entering and exiting lockdown.

Similarity analysis of federal reserve statements using document embeddings: the Great Recession vs. COVID-19

The coronavirus pandemic has already caused plenty of severe problems for humanity and the economy. The exact impact of the COVID-19 pandemic is still unknown, and economists and financial advisers are exploring all possible scenarios to mitigate the risks arising from the pandemic. An intriguing question is whether this pandemic and its impacts are similar, and to what extent, to any other catastrophic events that occurred in the past, such as the 2009 Great Recession. This paper intends to address this problem by analyzing official public announcements and statements issued by federal authorities such as the Federal Reserve. More specifically, we measure similarities of consecutive statements issued by the Federal Reserve during the 2009 Great Recession and the COVID-19 pandemic using natural language processing techniques. Furthermore, we explore the usage of document embedding representations of the statements in a more complex task: clustering. Our analysis shows that, using an advanced NLP technique in document embedding such as Doc2Vec, we can detect a difference of 10.8% in similarities of Federal Open Market Committee (FOMC) statements issued during the Great Recession (2007–2009) and the COVID-19 pandemic. Finally, the results of our clustering exercise show that the document embeddings representations of the statements are suitable for more complex tasks, which provides a basis for future applications of state-of-the-art natural language processing techniques using the FOMC post-meeting statements as the dataset.

Headache related to personal protective equipment in healthcare workers during COVID-19 pandemic in Mexico: baseline and 6-month follow-up.

BACKGROUND AND AIM: Headaches related to the use of personal protective equipment (PPE) could affect performance at work in healthcare personnel. Our aim was to describe the prevalence and risk factors for headaches related to PPE, in the personnel of a specialized coronavirus disease 2019 (COVID-19) tertiary hospital. METHODS: In this cross-sectional survey study, we invited healthcare workers from COVID-19 referral center in Mexico (May 22-June 19, 2020) to answer a standardized structure questionnaire on characteristics of new-onset PPE-related headache or exacerbation of primary headache disorder. Participants were invited regardless of whether they had a current headache to avoid selection bias. This is the primary analysis of these data. RESULTS: Two hundred and sixty-eight subjects were analyzed, 181/268 (67.5%) women, 177/268 (66%) nurses, mean age 28 years. The prevalence of PPE-related headache was 210/268 (78.4%). Independent risk factors were occupation other than physician (OR 1.59, 95% CI 1.20-2.10), age > 30 years (OR 2.54, 95% CI 1.25-5.14), and female sex (OR 3.58, 95% CI 1.86-6.87). In the 6-month follow-up, 13.1% of subjects evolve to chronic headache, with stress as predictive risk factor. CONCLUSION: The frequency of PPE-associated headache is high, and a subgroup could evolve to chronic headache. More studies are necessary to improve the knowledge about this condition.

Identification of Specific Risk Factors for Mortality in Patients with Diabetes Mellitus Hospitalized with COVID-19

Introduction: Several studies have shown that diabetes mellitus (DM) is a risk factor for in hospital mortality due to COVID-19. The aim of our study was to analyze if prior clinical characteristics among DM patients affected the risk of in hospital mortality compared with nondiabetic patients hospitalized with COVID-19. Material and Methods: The study was based on a retrospective, observational design and was conducted at two hospitals located in Albacete (Spain). All patients hospitalized with COVID-19 since the start of the pandemic until 7 July 2020 were included. Results: During the study period, 1468 patients were hospitalized due to COVID-19;402 of them had DM prior to hospitalization. DM was associated with higher in hospital mortality (28.6% versus 17.5%) in the univariate analysis. But, in a multivariate logistic regression analysis, after adjusting for age, presence of hypertension, smoking, presence of COPD, ACEI, ARB, antiplatelet, or anticoagulant therapy, DM was not a significant risk factor for death. Patients with DM2 receiving insulin treatment had a higher risk of in hospital death than nondiabetic patients (OR 1.78 [1.13-2.81], p=0.0126) after age was considered. The age-associated relative risk was 1.06 (1.05-1.07, p<0.001) per year, whereas the relative risk associated with DM2 treated with insulin compared with no DM was 1.57 (1.11-2.23, p=0.0111) suggesting that DM2 treated with insulin entails a risk of in hospital COVID-19 death equivalent to being 9 years older. When previous logistic regression models included other variables related to personal history and prior nondiabetic treatments, the risks described showed no change. Conclusion: This study confirms that pre-admission need for insulin therapy before hospitalization in patients with DM2 are associated with higher in hospital mortality due to COVID-19 in a large sample of DM inpatients with COVID-19.

Harmonized D-dimer levels upon admission for prognosis of COVID-19 severity: Results from a Spanish multicenter registry (BIOCOVID-Spain study).

Coagulopathy is a key feature of COVID-19 and D-dimer has been reported as a predictor of severity. However, because D-dimer test results vary considerably among assays, resolving harmonization issues is fundamental to translate findings into clinical practice. In this retrospective multicenter study (BIOCOVID study), we aimed to analyze the value of harmonized D-dimer levels upon admission for the prediction of in-hospital mortality in COVID-19 patients. All-cause in-hospital mortality was defined as endpoint. For harmonization of D-dimer levels, we designed a model based on the transformation of method-specific regression lines to a reference regression line. The ability of D-dimer for prediction of death was explored by receiver operating characteristic curves analysis and the association with the endpoint by Cox regression analysis. Study population included 2663 patients. In-hospital mortality rate was 14.3%. Harmonized D-dimer upon admission yielded an area under the curve of 0.66, with an optimal cut-off value of 0.945 mg/L FEU. Patients with harmonized D-dimer ≥ 0.945 mg/L FEU had a higher mortality rate (22.4% vs. 9.2%; p < 0.001). D-dimer was an independent predictor of in-hospital mortality, with an adjusted hazard ratio of 1.709. This is the first study in which a harmonization approach was performed to assure comparability of D-dimer levels measured by different assays. Elevated D-dimer levels upon admission were associated with a greater risk of in-hospital mortality among COVID-19 patients, but had limited performance as prognostic test.

SARS-CoV-2 mutations in MHC-I-restricted epitopes evade CD8+ T cell responses.

CD8+ T cell immunity to SARS-CoV-2 has been implicated in COVID-19 severity and virus control. Here, we identified nonsynonymous mutations in MHC-I-restricted CD8+ T cell epitopes after deep sequencing of 747 SARS-CoV-2 virus isolates. Mutant peptides exhibited diminished or abrogated MHC-I binding in a cell-free in vitro assay. Reduced MHC-I binding of mutant peptides was associated with decreased proliferation, IFN-γ production and cytotoxic activity of CD8+ T cells isolated from HLA-matched COVID-19 patients. Single cell RNA sequencing of ex vivo expanded, tetramer-sorted CD8+ T cells from COVID-19 patients further revealed qualitative differences in the transcriptional response to mutant peptides. Our findings highlight the capacity of SARS-CoV-2 to subvert CD8+ T cell surveillance through point mutations in MHC-I-restricted viral epitopes.

Cardiac troponin and COVID-19 severity: Results from BIOCOVID study.

BACKGROUND: Myocardial injury is a common finding in COVID-19 strongly associated with severity. We analysed the prevalence and prognostic utility of myocardial injury, characterized by elevated cardiac troponin, in a large population of COVID-19 patients, and further evaluated separately the role of troponin T and I. METHODS: This is a multicentre, retrospective observational study enrolling patients with laboratory-confirmed COVID-19 who were hospitalized in 32 Spanish hospitals. Elevated troponin levels were defined as values above the sex-specific 99th percentile upper reference limit, as recommended by international guidelines. Thirty-day mortality was defined as endpoint. RESULTS: A total of 1280 COVID-19 patients were included in this study, of whom 187 (14.6%) died during the hospitalization. Using a nonspecific sex cut-off, elevated troponin levels were found in 344 patients (26.9%), increasing to 384 (30.0%) when a sex-specific cut-off was used. This prevalence was significantly higher (42.9% vs 21.9%; P < .001) in patients in whom troponin T was measured in comparison with troponin I. Sex-specific elevated troponin levels were significantly associated with 30-day mortality, with adjusted odds ratios (ORs) of 3.00 for total population, 3.20 for cardiac troponin T and 3.69 for cardiac troponin I. CONCLUSION: In this multicentre study, myocardial injury was a common finding in COVID-19 patients. Its prevalence increased when a sex-specific cut-off and cardiac troponin T were used. Elevated troponin was an independent predictor of 30-day mortality, irrespective of cardiac troponin assay and cut-offs to detect myocardial injury. Hence, the early measurement of cardiac troponin may be useful for risk stratification in COVID-19.

Characteristics and laboratory findings on admission to the emergency department among 2873 hospitalized patients with COVID-19: the impact of adjusted laboratory tests in multicenter studies. A multicenter study in Spain (BIOCOVID-Spain study).

Identification of predictors for severe disease progression is key for risk stratification in COVID-19 patients. We aimed to describe the main characteristics and identify the early predictors for severe outcomes among hospitalized patients with COVID-19 in Spain. This was an observational, retrospective cohort study (BIOCOVID-Spain study) including COVID-19 patients admitted to 32 Spanish hospitals. Demographics, comorbidities and laboratory tests were collected. Outcome was in-hospital mortality. For analysis, laboratory tests values were previously adjusted to assure the comparability of results among participants. Cox regression was performed to identify predictors. Study population included 2873 hospitalized COVID-19 patients. Nine variables were independent predictors for in-hospital mortality, including creatinine (Hazard ratio [HR]:1.327; 95% Confidence Interval [CI]: 1.040-1.695, p = .023), troponin (HR: 2.150; 95% CI: 1.155-4.001; p = .016), platelet count (HR: 0.994; 95% CI: 0.989-0.998; p = .004) and C-reactive protein (HR: 1.037; 95% CI: 1.006-1.068; p = .019). This is the first multicenter study in which an effort was carried out to adjust the results of laboratory tests measured with different methodologies to guarantee their comparability. We reported a comprehensive information about characteristics in a large cohort of hospitalized COVID-19 patients, focusing on the analytical features. Our findings may help to identify patients early at a higher risk for an adverse outcome.

COVID-19 and the eye: a review.

BACKGROUND: To provide a review for general practitioners and medical specialists about the most common eye complaints and ocular manifestations in a COVID-19 patient. METHODS: Reviewed 50 articles referenced in 4 databases from 20 December 2019 to 16 September 2020. RESULTS: Of the 50 articles reviewed, 26 met the criteria for analysis and were included in the study. Among them were 5 reviews, 6 case series, 7 case reports, 4 cross-sectional studies, 2 systematic reviews, 1 cohort study and 1 correspondence. We found that the prevalence of ocular manifestations in patients during the course of COVID-19 varied between 0.8% and 31.6%, depending on the study design. Symptoms of acute conjunctivitis were the most frequent clinical findings. Acute phase reactants were also correlated to ocular manifestations and the severity of the systemic disease in many reports. CONCLUSIONS: Ocular manifestations are not uncommon in COVID-19 patients and have been associated with higher levels of acute phase reactants as well as a higher degree of severity of the systemic disease. We recommend that all physicians consider COVID-19 as a differential diagnosis in the presence of acute conjunctivitis with or without systemic symptoms.

Review of risk of COVID-19 in cancer patients and their cohabitants.

BACKGROUND: Patients with a history of active malignancy are at increased risk of infection and COVID-19-related complications. Sanitary protection measures are not specifically recommended within households. This study examined the risk of seroconversion in cancer patients according to their household exposure. PATIENTS AND METHODS: This seroprevalence study was a prevalence study conducted in Torrejon de Ardoz (Spain). It analysed the seroprevalence of IgM and IgG antibodies in 104,299 volunteers (participation rate of 74.8% of population) from 29 May to 05 June 2020. Personal authorisation was requested to collect by questionnaire the test results from cancer patients, who attended the Outpatient Department of the University Hospital of Torrejón, and their cohabitants between 01-19 June 2020. RESULTS: A total of 229 cancer patients were included in the study. Sixty-four of the 229 individuals tested positive for SARS-CoV-2 IgG antibodies (27.9%) and 22 were positive for SARS-CoV-2 IgM antibodies (9.6%). The overall seroprevalence (IgG or IgM positive) was 31.4% (general population seroprevalence was 10% in Spain). Of 72 seropositive patients, 54.2% had intrafamilial exposure vs 45.8% who did not. Among seronegative patients, 30.6% had seropositive cohabitants. The probability of seropositivity for a cancer patient was significantly related to intrafamilial exposure (OR 2.684, 95% CI 1.51-4.76, p = 0.001). CONCLUSIONS: Cancer patients are a high-risk group for SARS-CoV-2 infection. Recommendations against virus transmission need to be implemented even in a household scenario, as it was the main factor significantly related to seroconversion.

Seroprevalence of SARS-CoV-2-specific antibodies in cancer outpatients in Madrid (Spain): A single center, prospective, cohort study and a review of available data.

BACKGROUND: Coronavirus disease in 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has emerged as a global pandemic. Published data suggests that patients with a history of or active malignancy are at increased risk of infection and developing COVID-19 related complications. To date, the published data has analyzed the seroprevalence of COVID-19 infection in the general population, but not in cancer patients. Here we present the results of prevalence of IgG and IgM antibodies against SARS-CoV-2 in cancer patients from the University Hospital of Torrejón (Torrejón de Ardoz, Madrid, Spain). METHODS: SARS-CoV-2 IgG and IgM antibodies was assessed using a commercially available rapid test (Testsealabs® IgG/IgM Rapid Test Cassette) and collect the result from cancer outpatients who attended the medical oncology consult at University Hospital of Torrejón between June 1st and June 19th, 2020. FINDINGS: We analyzed the serological test results of 229 cancer patients. We estimated an overall seroprevalence (IgG or IgM positive) of 31.4%. The probability of SARS-CoV-2 seropositivity was similar between men and women, type of treatment and cancer stage. The probability of seropositivity was significantly higher in cancer patients with pneumonia compared with cancer patients without pneumonia (Odds Ratio (OR) 7.65 [95% confidence interval (CI) 1,85-31,58]). INTERPRETATION: Our results show a higher rate of SARS-CoV-2 antibodies in cancer patients than in the general population. The role of those antibodies in the immune response against the virus infection is unclear.