Review of potential risk groups for coronavirus disease 2019 (COVID-19)

Impact of fatalistic approaches in the health crisis: COVID-19 example

BACKGROUND

When faced with a health crisis, most people tend to seek solutions through modern or traditional medicine. However, there is a group of people who tend to take a fatalistic approach to health crises and tend not to do what is necessary. When such approaches are exhibited in disadvantaged groups, there may be a chain reaction resulting in much more important problems.

OBJECTIVE

The aim of this study is to determine whether the fatalistic approach is realized during a health crisis period in people 65 years and older, pregnant women, people with chronic diseases, and healthcare workers who are considered disadvantaged. Researchers also examined whether there were sociodemographic characteristics that made a difference in these attitudes among those who were determined to have a fatalistic approach.

METHODS

The research was conducted with a quantitative method. The sample calculation was performed and it was decided to reach 196 people. A self-report scale was used for fatalism.

RESULTS

It was determined that the participants had a moderate level of fatalism. It was seen that there was a difference between the groups in terms of fatalistic behavior. It was observed that women, divorced people, people without alcohol and smoking habits, people who live alone, and people who think their health is poor tend to behave more fatalistic.

CONCLUSION

The tendency to show fatalistic behavior was found to be higher in the group of 65 years and older. Sociodemographic characteristics are associated with fatalistic behavior.

Asthma and COPD as co-morbidities in patients hospitalised with Covid-19 disease: a global systematic review and meta-analysis

BACKGROUND

Factors predisposing to increased mortality with COVID-19 infection have been identified as male sex, hypertension, obesity, and increasing age. Early studies looking at airway diseases gave some contradictory results. The purpose of our study was to determine global variation in studies in patients hospitalized with COVID-19 in the prevalence of COPD and asthma; and to determine whether the presence of asthma or COPD affected mortality in the same hospital population.

METHODS

A systematic review and meta-analysis of the published literature of COPD and asthma as co-morbidities in patients hospitalized with COVID-19 was performed, looking firstly at the prevalence of these diseases in patients hospitalized with COVID-19, and secondly at the relative risk of death from any cause for patients with asthma or COPD.

RESULTS

Prevalence of both airway diseases varied markedly by region, making meaningful pooled global estimates of prevalence invalid and not of clinical utility. For individual studies, the interquartile range for asthma prevalence was 4.21 to 12.39%, and for COPD, 3.82 to 11.85%. The relative risk of death with COPD for patients hospitalized with COVID-19 was 1.863 (95% CI 1.640-2.115), while the risk with asthma was 0.918 (95% CI 0.767 to 1.098) with no evidence of increased mortality.

CONCLUSIONS

For asthma and COPD, prevalence in patients hospitalized with COVID-19 varies markedly by region. We found no evidence that asthma predisposed to increased mortality in COVID-19 disease. For COPD, there was clear evidence of an association with increased mortality.

TRIAL REGISTRATION

The trial was registered with PROSPERO: registration number CRD42021289886.

Epidemiological Characteristics of COVID-19 during Seven Consecutive Epidemiological Waves (2020-2022) in the North Bačka District, Serbia

The COVID-19 pandemic continues to pose a threat to global public health. The purpose of this research was to determine the epidemiological characteristics of COVID-19 in the North Bačka district while observing seven pandemic waves. The cross-sectional study was based on data from the COVID-19 surveillance database of the Institute for Public Health of Vojvodina during the period from March 2020 to December 2022. A total of 38,685 primary infections and 4067 reinfections caused by SARS-CoV-2 were notified. Pandemic waves caused by the Delta variant (cumulative incidence rate of 2482.37/100,000) and by the Omicron variant (cumulative incidence rate of 2994.45/100,000) emerged as significant focal points during the surveillance period. Over the course of three consecutive years (2020-2022), women were more affected (50.11%, 54.03%, and 55.68%, respectively). The highest incidence rates in age-specific categories were recorded in 2021 for the age group 40-49 (1345.32 per 10,000 inhabitants), while in 2022, they shifted towards the elderly population. Regarding vaccination status at the time of diagnosis, in 2021, around 15% of patients were vaccinated, while in 2022, the number increased to 37%. The most widely received vaccine was BBIBP-CorV (67.45%), followed by BNT162b2 (19.81%), Gam-COVID-Vac (9.31%), and ChAdOx1 nCoV-19 (3.42%) vaccine. The implementation of stringent public health measures and their mitigation, together with the emergence of new variants, influenced the dynamics of COVID-19 pandemic waves in the North Bačka district. Notably, throughout the study period, the working-age population was the most affected, along with females, with a mild clinical presentation dominating. Reinfections were most frequently recorded during the latter pandemic waves. Dealing with this pandemic has provided some valuable lessons for the development of future strategies in the case of a similar public health crisis.

Long COVID and older people

Long COVID is a poorly understood condition, with a wide spectrum of effects on multiple body systems and variable presentation in different individuals. Long COVID is of particular concern among older people (ie, aged 65 years or older), who are at greater risk than younger people of persisting symptoms associated with COVID-19. In addition, COVID-19 might trigger or exacerbate chronic conditions that occur commonly in older people, such as cardiovascular diseases, respiratory diseases, neurodegenerative conditions, and functional decline. In addition, the disruptive effects of COVID-19 for older people should not be underestimated; lockdowns and other restrictions might have reduced the social interactions of older people, and they are also likely to have lost a spouse or loved one during the pandemic, which can contribute to mental and physical decline. COVID-19 vaccination appears to reduce the effects of long COVID, and older people, especially those living in aged care facilities, should remain up-to-date with their COVID-19 vaccinations. Health-care staff should also consider long COVID in the differential diagnosis of relevant symptoms in older people, rather than assume increasing frailty, and should pursue early multidisciplinary assessment and management of persisting symptoms. Addressing physical, psychological, and functional sequelae will mitigate the effect of long COVID and improve the health and quality of life of older people.

Covid-19 detection from radiographs by feature-reinforced ensemble learning

The coronavirus (Covid-19) epidemic continues to have a negative influence on the global population's well-being and health. Scientists in many fields around the world are working non-stop to find a solution to the prevention of this epidemic. In the field of computer science, this struggle is supported by studies on especially the analysis of X-ray and CT images with artificial intelligence. In this study, two different ensemble learning models, including deep learning and a combination of machine learning methods, are presented for the detection of SARS-CoV-2 infection from X-ray images. The main purpose of this study is to increase the classification ability of Residual Convolutional Neural Network (ResCNN), which is used as a deep learning method, with the assist of machine learning algorithms and extracted features from images. The proposed models were validated on a total of 5228 chest X-ray images categorized as Normal, Pneumonia, and Covid-19. The images in the dataset were sized in four different ways, 32 × 32, 64 × 64, 128 × 128, and 256 × 256, in order to analyze the validity of the proposed models in more detail. These four datasets were partitioned with the 10-fold cross-validation technique and converted into a total of 40 training and test data. Both proposed models use features derived from the ResCNN as the basis and test a certain number of machine learning algorithms with a majority voting technique by dividing them into subsets. In the architecture of the second model, it combines the features extracted from the Local Binary Patterns (LBP) and Histogram of Oriented Gradients (HOG) methods in addition to the features obtained from the ResCNN. It has been seen that the classification ability of both proposed models is better than the ResCNN in the experiments. In particular, the second model gives a similar classification score even though it is tested with images four-times smaller (e.g., 32 × 32 vs. 128 × 128) than those used in the ResCNN. This shows that the model can give ideal results with lower computational cost.

Pregnancy and risk of COVID-19: a Norwegian registry-linkage study

Objective

To compare the risk of acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection and contact with specialist healthcare services for coronavirus disease 2019 (COVID‐19) between pregnant and non‐pregnant women.

Population or sample

All women ages 15–45 living in Norway on 1 March 2020 (n = 1 033 699).

Methods

We linked information from the national birth, patient, communicable diseases and education databases using unique national identifiers.

Main outcome measure

We estimated hazard ratios (HR) among pregnant compared to non‐pregnant women of having a positive test for SARS‐CoV‐2, a diagnosis of COVID‐19 in specialist healthcare, or hospitalisation with COVID‐19 using Cox regression. Multivariable analyses adjusted for age, marital status, education, income, country of birth and underlying medical conditions.

Results

Pregnant women were not more likely to be tested for or to a have a positive SARS‐CoV‐2 test (adjusted HR 0.99; 95% CI 0.92–1.07). Pregnant women had higher risk of hospitalisation with COVID‐19 (HR 4.70, 95% CI 3.51–6.30) and any type of specialist care for COVID‐19 (HR 3.46, 95% CI 2.89–4.14). Pregnant women born outside Scandinavia were less likely to be tested, and at higher risk of a positive test (HR 2.37, 95% CI 2.51–8.87). Compared with pregnant Scandinavian‐born women, pregnant women with minority background had a higher risk of hospitalisation with COVID‐19 (HR 4.72, 95% CI 2.51–8.87).

Conclusion

Pregnant women were not more likely to be infected with SARS‐CoV‐2. Still, pregnant women with COVID‐19, especially those born outside of Scandinavia, were more likely to be hospitalised.

Tweetable abstract

Pregnant women are at increased risk of hospitalisation for COVID‐19.

Pregnant women are at increased risk of hospitalisation for COVID‐19.

Acute HIV-1 and SARS-CoV-2 Infections Share Slan+ Monocyte Depletion-Evidence from an Hyperacute HIV-1 Case Report

Monocytes are key modulators in acute viral infections, determining both inflammation and development of specific B- and T-cell responses. Recently, these cells were shown to be associated to different SARS-CoV-2 infection outcome. However, their role in acute HIV-1 infection remains unclear. We had the opportunity to evaluate the mononuclear cell compartment in an early hyper-acute HIV-1 patient in comparison with an untreated chronic HIV-1 and a cohort of SARS-CoV-2 infected patients, by high dimensional flow cytometry using an unsupervised approach. A distinct polarization of the monocyte phenotype was observed in the two viral infections, with maintenance of pro-inflammatory M1-like profile in HIV-1, in contrast to the M2-like immunosuppressive shift in SARS-CoV-2. Noticeably, both acute infections had reduced CD14^low/−CD16⁺ non-classical monocytes, with depletion of the population expressing Slan (6-sulfo LacNac), which is thought to contribute to immune surveillance through pro-inflammatory properties. This depletion indicates a potential role of these cells in acute viral infection, which has not previously been explored. The inflammatory state accompanied by the depletion of Slan+ monocytes may provide new insights on the critical events that determine the rate of viral set-point in acute HIV-1 infection and subsequent impact on transmission and reservoir establishment.

Prevalence, Pattern and Functional Outcome of Post COVID-19 Syndrome in Older Adults

Introduction COVID-19 pandemic has been shown to produce high infection rates, significant morbidity and mortality among older adults. A significant proportion of people who have recovered from acute COVID-19 illness seem to suffer from post COVID-19 syndrome. Post COVID-19 syndrome is thought to be a multisystem disease involving physical, functional, mental and psychological domains. This analysis tries to estimate the prevalence, pattern and functional outcomes of post COVID-19 syndrome in hospitalized older adults. Methods A prospective cohort study was done on 279 older adults who were discharged from our centre between August 1st, 2020 and November 30th 2020. Information was collected through a telephonic interview after 90 days of discharge from the hospital using a standard questionnaire by a trained physician. Collected data were analyzed with IBM SPSS Statistics for Windows, Version 23.0 (IBM Corp., Armonk, NY). Results After 90 days of recovery, the most common symptoms prevalent in the study population were fatigue (8.9%) followed by cough (4.3%), breathlessness (1.8%), dizziness (1.4%), myalgia (1.1%), loss of smell and taste (0.8%) and chest discomfort (0.7%). The prevalence of risk of anxiety in the study population after 90 days of recovery was 7.5% while that of risk of depression was 12.2%. After 90 days of recovery, 66 (23.6%) patients reported the presence of at least one clinical feature while 9.3% had two or more clinical features. On comparing the mean activities of daily living (ADL) 5.58 (.795) and mean instrumental activities of daily living (IADL) 5.84 (1.49) before the illness and 90 days following recovery there was no statistical difference for the study population. Conclusion The prevalence of post COVID-19 syndrome in older adults is about 9.3%. The most common symptoms reported by older adults after 90 days following recovery were fatigue followed by cough and breathlessness. Most older adults retained their baseline functional status after 90 days of recovery from acute COVID-19.

Epidemiological and Clinical Characteristics of COVID-19: A Retrospective Multi-Center Study in Pakistan

The emergence of a pathogen responsible for a mysterious respiratory disease was identified in China and later called a novel coronavirus. This disease was named COVID-19. The present study seeks to determine the epidemiological and clinical characteristics of COVID-19 in Pakistan. This report will exhibit a linkage between epidemiology and clinical aspects which in turn can be helpful to prevent the transmission of the virus in Pakistan. A retrospective, multiple center study was performed by collecting the data from patients' with their demographics, epidemiological status, history of co-morbid conditions, and clinical manifestations of the disease. The data was collected from 31 public-sector and 2 private hospitals across Pakistan by on-field healthcare workers. A Chi-square test was applied to assess the relationship between categorical data entries. A total of 194 medical records were examined. The median age of these patients was found to be 34 years. A total of 53.6% active cases were present including 41.2% males and 12.4% females till the end of the study. Adults accounted for most of the cases (94.3%) of COVID-19. Fever (86.60%), cough (85.05%), fatigue (36.60%), dyspnea (24.74%), and gastrointestinal discomfort (10.31%) were among the most frequently reported signs and symptoms by the patients. However, 4.12% of the total patient population remained asymptomatic. The median duration of hospital stay was found to be 14 (0-19) days. The earliest source of the spread of the virus may be linked to the foreigners traveling to Pakistan. Spread among men was more as compared to women. A few cases were found to be positive, due to the direct contact with pets or livestock. Hypertension (7.73%), diabetes (4.64%), cardiovascular conditions (2.58%) were the most common co-morbidities. The percentage mortality was 2.50% with the highest mortality among elders.