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COVID-19 is associated with marked morbidity and mortality. COVID-19 symptoms ranged from mild symptoms to severe pneumonia requiring admission to intensive care unit. Imperial College reported that, this second wave in Khartoum is expected to be similar to the first wave. The aim of our study was to study the characteristics and severity of COVID-...
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Background:
COVID-19 has currently well-described signs and symptoms. However, older adults often present with an atypical condition, which can confuse and delay diagnosis and treatment.
Summary:
A scoping review was performed according to Joanna Briggs Institute methodology and prepared using the PRISMA-ScR. It included 61 studies. The objectives were to identify the atypical symptoms of COVID-19 in older adults and summarize and synthesize the evidence regarding the clinical outcomes of older adults with atypical presentations of COVID-19. Fifty-eight atypical symptoms were identified. Geriatric syndromes were the most prevalent atypical presentations of COVID-19. The prevalence of older adults with atypical presentation was 29 ± 18.45%. The mortality rate of older adults with atypical presentation was 28.3 ± 10.26 (17-37%).
Key Messages:
This scoping review showed that geriatric syndromes represent a frequent atypical presentation of COVID-19 in older adults. It is necessary to give visibility to those presentations in older populations with COVID-19 to advance the required interventions.
In addition to excessive burden of non-communicable diseases, natural and manmade disasters, and internal conflicts, Sudan is predominantly susceptible to communicable diseases, such as malaria, tuberculosis, and pneumonia, which bring about an extra burden of demand for high-quality healthcare. According to the WHO and the Sudan Health Observatory, pneumonia is one of the leading causes of death in Sudan. This study therefore aimed to illustrate pneumonia literature in Sudan, estimate infection prevalence regardless of the cause among Sudanese children and adults, and demonstrate its related risk factors. A systematic and scoping review of the literature was conducted and regulated in accordance to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). After abstract and full-text screening, only 15 articles met our inclusion criteria and passed the quality assessment procedure. Seven included studies determined prevalence of pneumonia; the overall pooled prevalence was around 30%. Furthermore, 12 research articles investigated risk factors related to pneumonia among Sudanese population. Further research with larger sample sizes targeting risk factors of pneumonia among Sudanese population is needed to be conducted.
Purpose of review:
While it is now widely established acute kidney injury (AKI) is a common and important complication of coronavirus disease (COVID-19) disease, there is marked variability in its reported incidence and outcomes. This narrative review provides a mid-2022 summary of the latest epidemiological evidence on AKI in COVID-19.
Recent findings:
Large observational studies and meta-analyses report an AKI incidence of 28-34% in all inpatients and 46-77% in intensive care unit (ICU). The incidence of more severe AKI requiring renal replacement therapy (RRT) in ICU appears to have declined over time, in data from England and Wales RRT use declined from 26% at the start of the pandemic to 14% in 2022. The majority of survivors apparently recover their kidney function by hospital discharge; however, these individuals appear to remain at increased risk of future AKI, estimated glomerular filtration rate (eGFR) decline and chronic kidney disease. Importantly even in the absence of overt AKI a significant proportion of survivors of COVID-19 hospitalisation had reduced eGFR on follow-up.
Summary:
This review summarises the epidemiology, risk factors, outcomes and treatment of COVID-19-associated AKI across the global pandemic. In particular the long-term impact of COVID-19 disease on kidney health is uncertain and requires further characterisation.
Objective
To identify differences in the clinical and epidemiological characteristics of patients seen during the first and second waves of COVID-19 in the EsSalud-Lambayeque health care network, Peru.
Method
Analytical cross-sectional study in 53,912 patients attended during the first and second waves of COVID-19. Cluster analysis based on Clustering Large Applications (CLARA) was applied to clinical-epidemiological data presented at the time of care. The two pandemic waves were compared using clinical-epidemiological data from epidemiological surveillance.
Results
Cluster analysis identified four COVID-19 groups with a characteristic pattern. Cluster 1 included the largest number of participants in both waves and was predominantly female. Cluster 2 included patients with gastrointestinal, respiratory, and systemic symptoms. Cluster 3 was the "severe" cluster, which was characterized by patients with dyspnea, older adults, and individuals with some comorbidity (cardiovascular, diabetes, obesity). Cluster 4 included asymptomatic, pregnant, and less severe patients. We found differences in all clinical-epidemiological characteristics according to the cluster to which they belonged.
Conclusions
Using cluster analysis, we identified characteristic patterns among each group. Respiratory, gastrointestinal, dyspnea, anosmia, and ageusia symptoms were higher in the second than in the first COVID-19 wave.
Coronavirus disease (COVID-19) has distorted the economic development activities of many countries across continents. This undesirable tragedy has highly affected the educational system, which majorly contributes to the wellbeing of an individual and the economy as a whole. The study aims to explore the determinants of COVID-19 preventive practices among students considering their knowledge about COVID-19 and attitudes toward the disease. The data for the study were collected through an online questionnaire survey involving university students. The relationship between students’ knowledge, attitude and their preventive practices towards COVID-19 were investigated using structural equation modelling. The results indicated that most students demonstrated substantial knowledge on COVID-19, moderate to strongly agree attitude towards COVID-19, and sometimes practiced COVID-19 preventive and safety protocols. In addition, a positive relationship between knowledge and attitudes towards COVID-19 was established. Also, a positive effect was established for students’ knowledge about COVID-19 and preventive practices, whilst an adverse effect was confirmed for attitudes towards COVID-19 and practices to avoid spreading the COVID-19 disease.
Background
Since December 2019, (COVID‐19) has had a significant impact on global health systems. Because little is known about the clinical characteristics and risk factors connected with COVID‐19 severity in Sudanese patients, it is vital to summarize the clinical characteristics of COVID‐19 patients and to investigate the risk factors linked to COVID‐19 severity.
Objectives
We aimed to assess the clinical characteristics of COVID‐19 patients and look into risk factors associated with COVID‐19 severity.
Methods
This is a retrospective cross‐sectional study that took place in two Isolation Centers in Wad Medani, Gezira State, Sudan. Four hundred and eighteen patients were included between May 2020 and May 2021. All COVID‐19 patients over the age of 18 who were proven COVID‐19 positive by nucleic acid testing or had characteristics suggestive of COVID‐19 on a chest CT scan and had a complete medical record in the study period were included.
Results
The participants in this study were 418 confirmed COVID‐19 cases with a median age of 66.313 years. There were 279 men (66.7%) among the patients. The most prevalent comorbidities were hypertension (n = 195; 46.7%) and diabetes (n = 187; 44.7%). Fever (n = 303; 72.5%), cough (n = 278; 66.5%), and dyspnea (n = 256; 61.2%) were the most prevalent symptoms at the onset of COVID‐19. The overall mortality rate (n = 148) was 35.4%. Patients with severe illness had a mortality rate of 42.3% (n = 118). Older age, anemia, neutrophilia, and lymphocytopenia, as well as higher glucose, HbA1c, and creatinine levels, were all linked to severe COVID‐19, according to the chi‐square test and analysis of variance analysis.
Conclusion
Sixteen variables were found to be associated with COVID‐19 severity. These patients are more prone to go through a serious infection and as a result have a greater death rate than those who do not have these characteristics.
