COVID-19 Research Articles

Miller fisher syndrome with positive anti-GQ1b/GT1a antibodies associated with COVID-19 infection: A case report

Miller fisher syndrome with positive anti-GQ1b/GT1a antibodies associated with COVID-19 infection: A case report

An umbrella analysis assessing the risk of acute kidney injury in COVID-19 patients.

A number of research studies have indicated a potential association between COVID-19 and acute kidney injury (AKI). However, the methodologies employed and the risk estimates derived from these studies vary. Therefore, an umbrella review of systematic reviews and meta-analyses was conducted to determine the incidence of AKI in COVID-19 patients and AKI-associated mortality. A complete literature search was undertaken in PubMed, Embase, Scopus, and the Cochrane Library. The methodological rigor of the included papers was evaluated using the Assessment of Multiple Systematic Reviews (AMSTAR-2) instrument. The pooled risk ratio (RR) and odds ratio (OR) of the included studies were calculated to establish the strength of the association between AKI cases and COVID-19 infections. This umbrella review included 20 studies. Two of the 20 studies assessed adult COVID-19 patient risk factors for AKI, 1 examined survival rates and 7 examined the incidence of AKI. The remaining 10 investigations revealed that patients with coronavirus were susceptible to AKI. The umbrella analysis comprised reviews that contained a range of 6 to 54 papers. The AMSTAR-2 ratings yielded a total of 14 studies deemed to be of high quality, with 6 studies classified as intermediate quality. Statistical analysis of included reviews revealed a 1.50 RR for AKI incidence in COVID-19 patients (95% confidence interval (95% CI): 1.40-1.60, I2 69%, p < 0.0001) and a 2.02 RR (95% CI: 1.79-2.29, I2 56%, p < 0.0001) for AKI-associated death. This umbrella review revealed that individuals infected with the novel coronavirus often develop AKI. SARS-CoV-2 infections were associated with AKI due to advanced age, male gender, coronary artery disease, diabetes, and hypertension. However, AKI and a renal replacement therapy (RRT) requirement independently predicted unfavorable COVID-19 results.

Adapting COVID-19 research infrastructure to capture influenza and respiratory syncytial virus alongside SARS-CoV-2 in UK healthcare workers winter 2022/23 and beyond: protocol for a pragmatic sub-study

Introduction During the COVID-19 pandemic, extensive research was conducted on SARS-CoV-2; however, important questions about other respiratory pathogens remain unanswered. A severe influenza season in 2022–2023 with simultaneous circulation of SARS-CoV2 and respiratory syncytial virus is anticipated. This sub-study aims to determine the incidence and impact of these respiratory viruses on healthcare workers, the symptoms they experienced, the effectiveness of both COVID-19 and influenza vaccination and the burden of these infections on the National Health Service (NHS) workforce. Methods and analysis This is a longitudinal prospective cohort sub-study, utilising the population and infrastructure of the SARS-CoV-2 Immunity &amp; Reinfection Evaluation (SIREN) study, which focuses on hospital staff in the UK. Participants undergo fortnightly nucleic acid amplification testing on a multiplex assay including SARS-CoV-2, influenza A and B and RSV, regardless of symptoms. Questionnaires are completed every two weeks, capturing symptoms, sick days, exposures, and vaccination records. Serum samples are collected monthly or quarterly from participants associated with a SIREN site. This sub-study commenced on 28/11/22 to align with the predicted influenza season and participants’ influenza vaccine status. The SIREN Participant Involvement Panel shaped the aims and methods for the study, highlighting its acceptability. UK devolved administrations were supported to develop local protocols. Analysis plans include incidence of asymptomatic and symptomatic infection, comparisons of vaccination coverage, assessment of sick day burden, and effectiveness of seasonal influenza against infection and time off work. Data are also integrated into UKHSA nosocomial modelling. Ethics and dissemination The protocol was approved by the Berkshire Research Ethics Committee (IRAS ID 284460, REC Reference 20SC0230) on 14/11/2022. Participants were informed in advance. As the frequency and method of sampling remained the same, implied consent processes were approved by the committee. Participants returning to the study give informed consent. Regular reports to advisory groups and peer-reviewed publications are planned to disseminate findings and inform decision making. Clinical trial registration number: ISRCTN11041050; registration date: 12 January 2021. Sub study included in protocol version: v8.0, and amended in v9.0

The Impact of COVID-19 on Migraine: The Patients’ Perspective

The COVID-19 pandemic represents a global health phenomenon that will sadly remain part of our history. It had innumerable consequences for society and people’s lives. With different mechanisms, COVID-19 has been pointed out as a factor in the pathophysiology of several secondary disorders or the deterioration of pre-existing conditions. Migraine is a frequent disorder that can be influenced by several conditions, including psychologically stressful conditions or infectious diseases. The purpose of the present study is to gain insight into the influence of COVID-19 on the clinical characteristics of patients with migraine. A self-administrable questionnaire has been developed, asking for migraine features before and after COVID-19 infection. One hundred and two patients who had been infected at least once were included. After COVID-19 infection, 54 reported the worsening of migraine, 45 noticed no variation, and 3 reported an improvement. After the infection, 21 patients changed preventive therapy due to the loss of efficacy of the previous one. The most effective treatments in this subpopulation were gene-related peptide monoclonal antibodies. The presented data confirm that the influence of COVID-19 is heterogeneous in patients with migraine, but new treatments may be effective in controlling the symptoms among those who report a worsening of the disease.

CLINICAL FEATURES OF COVID-19 INFECTION IN NEWBORNS: A RETROSPECTIVE ANALYSIS

Background. The COVID-19 pandemic has significantly impacted all age groups, including newborns. During the fifth surge, the prevalence of the Omicron variant among infants increased dramatically. While SARS-CoV-2 is generally milder in children than adults, newborns are vulnerable due to their immature immune systems. Clinical manifestations in newborns can range from asymptomatic to severe cases with respiratory distress or multi-organ dysfunction. Purpose of study. Description of clinical manifestations, course and outcomes of coronavirus infection in newborns. Materials and methods of study. A retrospective analysis was conducted on 110 newborns with COVID-19 admitted to the Children’s Clinical Infectious Diseases Hospital of Almaty between 2021 and early 2022. The study used electronic medical records as the source of research data. Demographic data such as age and sex were collected, along with epidemiological data including international or domestic travel within two weeks prior to the onset of the disease, known exposure to a person with positive SARS-CoV-2 infection, and a history of pregnancy. Results. The infants’ mean age was 17 days, with 44 boys (40%) and 66 girls (60%). Four newborns were admitted to the hospital at less than seven days of life. When analyzing the severity of the cases, the following proportions of newborns were observed: (3/110, 2.7%) were asymptomatic, (44/110, 40%) had mild symptoms, (57/110, 51.8%) were moderately severe, (4/110, 3.6%) severe, and (2/110, 1.8%) had very severe illness. The majority (68.4%) were hospitalized within three days of symptom onset. Fever was common, and all infants underwent chest CTs. Despite some severe cases, 99% had favorable outcomes, with only one fatality. Conclusion. This study indicates that most COVID-19 infections in newborns were contracted from household contacts. Clinical symptoms in infants included fever, catarrhal symptoms, and signs of intoxication, with some showing normal temperatures. Laboratory findings varied, with common changes including monocytosis and neutrophilia. Respiratory complications, such as bronchitis and pneumonia, were prevalent. Comorbidities, particularly congenital disorders, increased the risk of severe outcomes and mortality. Most newborns recovered within 1-2 weeks, though viral carriage persisted in many.

Shared and unique patterns of autonomous human endogenous retrovirus loci transcriptomes in CD14 + monocytes from individuals with physical trauma or infection with COVID-19

Since previous studies have suggested that the RNAs of human endogenous retrovirus (HERV) might be involved in regulating innate immunity, it is important to investigate the HERV transcriptome patterns in innate immune cell types such as CD14 + monocytes. Using single cell RNA-seq datasets from resting or stimulated PBMCs mapped to 3,220 known discrete autonomous proviral HERV loci, we found individual-specific variation in HERV transcriptomes between HERV loci in CD14 + monocytes. Analysis of paired datasets from the same individual that were cultured in vitro with LPS or without (i.e. control) revealed 36 HERV loci in CD14 + monocytes that were detected only after activation. To extend our analysis to in vivo activated CD14 + monocytes, we used two scRNA-seq datasets from studies that had demonstrated activation of circulating CD14 + monocytes in patients with physical trauma or patients hospitalized with COVID-19 infections. For direct comparison between the trauma and COVID-19 datasets, we first analyzed 1.625 billion sequence reads from a composite pangenome control of 21 normal individuals. Comparison of the sequence read depth of HERV loci in the trauma or COVID-19 samples to the pangenome control revealed that 39 loci in the COVID-19 and 11 HERV loci in the trauma samples were significantly different (Mann-Whitney U test), with 9 HERV loci shared between the COVID-19 and trauma datasets. The capacity to compare HERV loci transcriptome patterns in innate immune cells, like CD14 + monocytes, across different pathological conditions will lead to greater understanding of the physiological role of HERV expression in health and disease.

COVID-19 vaccine uptake and associated factors among individuals living in a peri-urban area in Uganda: A cross-sectional study.

The Corona virus disease (COVID-19) is a respiratory illness that is caused by SARS-CoV-2 virus. This virus was first reported in China in December 2019. It then spread to all countries and from March 11, 2020, the World Health Organization declared the COVID-19 outbreak a pandemic. In Uganda, the disease was first reported in March 2020 and COVID-19 vaccines became available by January 2021. Although COVID-19 vaccines were available in Uganda, uptake remained low. The aim of this study was to establish COVID-19 vaccine uptake awareness in a peri-urban setting in Entebbe City, Uganda. This was a cross-sectional study conducted among 127 men and 263 women who reside in Entebbe City, Uganda. Data was collected on socio-behavioral characteristics, knowledge, attitude, and practice (KAP) about COVID-19 vaccine using interviewer administered questionnaires. Uptake of COVID-19 vaccine was defined as the proportion of participants who had received at least one dose of the COVID-19 vaccine. We used descriptive statistics to estimate awareness of COVID-19 vaccines. The 'chi-square test' and 'modified Poisson regression' were used to assess variations in uptake of COVID-19 vaccines among respondents and their socio-demographics as well as other characteristics. Ninety-nine percent (388 out of 390) of the study population were aware of at least one brand of COVID-19 vaccines in the country. Thirty-five percent (138 out of 390) knew that the vaccine immunity was achieved 14 days after the 2nd dose and 98.7% (385 out of 390) admitted that observing the standard operating procedure for COVID-19 infection prevention was necessary after vaccination. There was a gap in knowledge on vaccine safety reported by 74.6% (291 out of 390) participants. Some participants 37.2% (145 out of 390) had concerns about the vaccine. Of these, 57.9% (84 out of 145) believed that the vaccines were not helpful; and 30.3% (44 out of 145) feared serious side effects. Sixty-six percent (257 out of 390) believed that vaccines were not working and 79.0% (308 out of 390) admitted that vaccines were promoted for financial gain. At the time of performing the study, 36.2% and 22.3% had received the 1st and 2nd dose respectively. The main sources of information on COVID-19 vaccine were television (TV) and social media (p-value 0.001). In a multivariate model, COVID-19 vaccine acceptability was associated with salaried and self-employment (p-value 0.046). The other predicative factors were awareness of the COVID-19 vaccine (p-value <0.001) and having vaccine concerns (p-value 0.013). Uptake of COVID-19 vaccination in Entebbe community was low, partly attributed to knowledge gaps and concerns about vaccine safety and effectiveness. This highlights the need to enhance dissemination of information about COVID-19 vaccine. The lessons learnt in this study would be relevant for other emerging infections by informing vaccination implementation programs in similar settings.

Understanding Fatigue, Insomnia, and COVID-19 PTSS Among Mainland Chinese During Initial Post-Zero-COVID Infection Wave: A Multi-Group Analysis

In early 2023, China experienced its first widespread COVID-19 outbreak after a policy shift. This study examines the relationship between fatigue and COVID-19-related post-traumatic stress symptoms (PTSS) in infected and uninfected individuals, exploring the potential mediating role of insomnia symptoms. An online survey of 5953 Chinese participants was conducted from 10 to 16 January 2023. Participants reported their COVID-19 infection status, fatigue, insomnia symptoms, and PTSS. Multi-group structural equation modeling (SEM) was used to test whether the mediation paths differed between infected and uninfected groups. The prevalence of fatigue, insomnia symptoms, and COVID-19 PTSS were 30.0%, 36.4%, and 5.8%. The SEM based on the bootstrapping showed that after controlling for demographics, chronic fatigue positively associated with COVID-19 PTSS in a significant way, with insomnia symptoms playing a mediating role. The multi-group analyses further revealed a partial mediation effect of insomnia symptoms on the relationship between fatigue and COVID-19 PTSS in the uninfected group (UG). However, for the infected group (IG), insomnia symptoms fully mediated the relationship between fatigue and COVID-19 PTSS. Infected individuals were more subject to the aforementioned mechanism than uninfected individuals. Addressing chronic fatigue, insomnia, and developing targeted interventions are crucial for supporting mental health across different infection statuses.

Relationships Between Polymorphisms in HLA-G 3'UTR Region and COVID-19 Disease Severity.

The objective of this study is to investigate the the relationships between HLA-G gene variants and sHLA-G with susceptibility to SARS-CoV-2 infection. In this case-control study, 65 Patients with COVID-19 were and 67 healthy controls were genotyped for their main functional polymorphisms namely, the 14-bp Ins/Del (rs371194629), +3003C/T (rs1707), +3010C/G (rs1710), +3027A/C (rs17179101), +3035C/T (rs17179108), +3142C/G (rs1063320), +3187A/G (rs9380142) and +3196C/G (rs1610696) in the exon 8 of the 3' untranslated regions (3' UTRs) using sanger sequencing method. Associations were assessed for five inheritance models (codominant, dominant, recessive, over-dominant and log-additive). Moreover, the levels of plasma soluble HLA-G (sHLA-G) were explored using ELISA method. Our results revealed that the 14-bp INS/DEL polymorphism was strongly associated with COVID-19 symptoms development for almost all tested inheritance models (p < 0.001). Inversely, the (+3196C/G) polymorphism exhibited a protective effect against COVID-19. In addition, three haplotypes; UTR-1, UTR-3, and UTR-5 were found associated with COVID-19 symptoms (p < 0.05), The level of HLA-G in the serum was significantly higher in COVID-19 individuals than in healthy individuals (p < 0.001).These findings suggest that HLA-G gene polymorphisms in the regulatory 3'UTR region of the HLA-G gene may influence the host immune response to SARS-CoV-2 infection. A deeper comprehension of the functional effect of these associated polymorphisms could be useful in identifying high-risk individuals and in developing adaptive treatments for patients.

Global Health Priority Box─Proactive Pandemic Preparedness.

The coronavirus pandemic outbreak of 2019 highlighted the critical importance of preparedness for current and future public health threats (https://www.mmv.org/mmv-open/global-health-priority-box/about-global-health-priority-box). While the main attention for the past few years has been on COVID-19 research, this focus has reduced global resources on research in other areas, including malaria and neglected tropical diseases (NTDs). Such a shift in focus puts at risk the hard-earned progress in global health achieved over the past two decades (https://www.who.int/news-room/spotlight/10-global-health-issues-to-track-in-2021). To address the urgent need for new drugs to combat drug-resistant malaria, emerging zoonotic diseases, and vector control, Medicines for Malaria Venture (MMV) and Innovative Vector Control Consortium (IVCC) assembled a collection of 240 compounds and, in August 2022, launched the Global Health Priority Box (GHPB). This collection of compounds has confirmed activity against emerging pathogens or vectors and is available free of charge. This valuable tool enables researchers worldwide to build on each other's work and save precious time and resources by providing a starting point for the further development of treatments and insecticides. Furthermore, this open access box aligns with two of the many priorities outlined by the World Health Organization (WHO) (https://www.who.int/news-room/spotlight/10-global-health-issues-to-track-in-2021).

Risk factors for SARS-CoV-2 infection and severe COVID-19 in unvaccinated solid organ transplant recipients

The role of immunosuppressive therapy on SARS-CoV-2 infection risk and COVID-19 severity remains unclear in unvaccinated solid organ transplant recipients. We included 1957 organ transplant recipients between July 2020 and April 2021 to analyze whether baseline immunosuppressive therapy and other risk factors are associated with SARS-CoV-2 infection and severe COVID-19. In total, 247 (12.6%) had SARS-CoV-2 (defined as positive nasopharyngeal swab and/or positive antibody titer). Of these, 57 (23.1%) had severe COVID-19, defined as oxygen supplementation, intensive care unit admission or death. Multivariable analysis identified diabetes (hazard ratio (HR) 1.39 (95% confidence interval (CI) 1.05–1.83)), chronic lung disease (HR 1.71 (95% CI 1.13–2.60)) and contact with a COVID-19 positive individual (HR 3.61 (95% CI 2.61–4.99) as independent risk factors for SARS-CoV-2 infection. There was no association between immunosuppressive therapy and infection risk. Severe COVID-19 was multivariably associated with hypertension (OR 5.45 (95% CI 1.66–17.84)), chronic kidney disease (OR 3.55 (95% CI 1.75–7.19)), corticosteroid use (OR 2.93 (95% CI 1.03–2.55)) and having a COVID-19 positive housemate (OR 6.77 (95% CI 2.65–17.28)). In conclusion, baseline corticosteroid use, but no other immunosuppressive agent, is independently associated with severe COVID-19 in unvaccinated SOT recipients after correction for hypertension, chronic kidney disease, housemates affected by COVID-19 and transplant type.

Characteristics and outcomes of ICU-admitted COVID-19 patients in the Omicron and Alpha-dominated periods.

Comparing the outcomes of intensive care unit (ICU) admitted COVID-19 patients during the Alpha and Omicron-dominated periods. Patients with critical COVID-19 disease, requiring ICU admission from May to September 2021 and February to August 2022, were enrolled from a single medical center in Northern Taiwan. Clinical demographics, comorbidities, disease severity, and management strategies were recorded. The 28-day mortality from the two periods were compared both in the original and propensity score (PS)-matched cohort. Of 231 patients, 72 (31.2%) were from the Alpha period and 159 (68.8%) from the Omicron period. Patients in the Omicron period were older, had a lower body mass index, more comorbidities, higher disease severities, and increased 28-day mortality (26.4% vs. 13.9%, p=0.035). In multivariable analysis, the Omicron-dominated period was not identified as an independent factor associated with increased 28-day mortality. COVID-19 patients in Alpha- and Omicron-dominated periods had comparable 28-day mortality in PS-matched cohort (12.1% vs. 18.2%, p=0.733). Independent factors associated with 28-day mortality were a lower PF ratio (PF ratio <100, adjusted odds ratio [aOR] 2.68, 95% confidence interval, CI 1.21-5.94), septic shock ([aOR] 2.39, 95% CI 1.12-5.09) and absence of remdesivir ([aOR] 0.36, 95% CI 0.16-0.83). While patients in the Omicron period exhibited greater severity, the variant was not independently linked to higher 28-day mortality in ICU-admitted patients.

Relation Between Monocyte-to-lymphocyte Ratio and Depressive Symptoms in Patients with Non-severe COVID-19 Infection

Background and Aim: Mental health of non-hospitalized patients and those with non-severe infections has attracted lower attention in comparison to other patients. Circulating monocytes are deeply involved in all stages of COVID-19 infection. The present study aimed to investigate the relationship between monocyte-to-lymphocyte ratio (MLR) and depressive symptoms in patients with non-severe COVID-19 infection. Methods: The study included 312 patients with non-severe COVID-19 infection diagnosed on the basis of a positive reverse-transcriptase polymerase chain reaction (RT-PCR) test of nasopharyngeal swabs. Depressive symptoms were assessed using the validated Arabic version of the 7-item Hamilton Depression Rating Scale (HAMD). According to the obtained scores, patients were classified to have mild (10-13), moderate (14-17), or severe depression (&gt;17). Results: The present study included 312 patients with non-severe COVID-19. According to HAMDS, clinically significant depression was diagnosed in 144 patients (46.2 %). They comprised 38 patients (12.2 %) with mild depression, 30 patients (9.6 %) with mild-tomoderate depression and 76 patients (24.4 %) with moderate-to-severe depression. Multivariate logistic regression analysis identified male sex [OR (95% CI): 2.07 (1.27-3.36), p = 0.003], presence of dyspnea [(OR (95 % CI): 1.99 (1.21-3.27), p = 0.007], D dimer levels [OR (95% CI): 2.32 (1.19-4.52), p = 0.013], MLR [OR (95% CI): 0.52 (0.28-0.99), p = 0.046] and abnormal CT findings [OR (95% CI): 1.79 (1.08-2.95), p = 0.023] as significant predictors of depression in the studied patients. Conclusion: Low MLR is related to depressive symptoms in patients with non-severe covid-19 infection. Other predictors include male sex, dyspnea, abnormal CT findings and elevated D-dimer levels.

Prognostic value of serum amyloid A protein as a biomarker in the diagnosis of 2019 novel coronavirus disease (COVID-19)

BackgroundThe current study aimed to evaluate the prognostic value of serum amyloid A protein )SAA( protein as a biomarker in diagnosing 2019 novel coronavirus disease )COVID-19( infection. MethodsThe study was conducted on 123 patients with definitive COVID-19 infection referred to Shahid Beheshti and Sina hospitals in Hamedan province, Iran. Five-milliliter blood samples were taken from all included patients and serum was isolated using a centrifuge at 10,000 rpm for 10 minutes. Laboratory tests were conducted, including c-reactive protein (CRP), Erythrocyte Sedimentation Rate (ESR), potassium level, sodium blood test, platelets (PLT), complete blood count (CBC), lymphocyte count, and neutrophil count. The SAA enzyme-linked immunosorbent assay (ELISA) Kit was applied to measure the SAA level in serum samples. Results123 patients included 73 males and 50 females, age ±50. Sixty-six (53.7%) patients had negative CRP while 80 (65%) patients had normal ESR. Potassium levels were not normal among 111 (94.9%) patients. Seventy-seven (63.1%) patients had normal CBC, while 108 (87.8%) patients had neutrophils above the normal range. 94 (97.9%) patients over the age of 50 were positive for SAA. In terms of gender, men were the most frequent patients with SAA. There was a statistically significant relationship between the serum level of SAA and outcomes of patients with COVID-19 (p = 0.0001). 94% of patients with SAA ≤50 were recovered from COVID-19 infection. The sensitivity rate of SAA compared to polymerase chain reaction (PCR) and computed tomography scan (CT scan) tests was 93% and 99%, respectively. Moreover, the accuracy of SAA compared to PCR and CT scan tests was 52% and 96%, respectively. ConclusionResults indicate the SAA is a sensitive, but not specific biomarker in the early detection of COVID-19. The quantitative levels of SAA can be useful in predicting treatment outcomes among patients with COVID-19.

Fatal intestinal lesions in coronavirus infection

In the clinic of coronavirus infection (SARS-CoV-2), inflammatory symptoms of the upper respiratory tract and pulmonary parenchyma prevail, and intestinal damage and the appearance of digestive symptoms are more characteristic of long-term pathology. The aim of the study was to retrospective analyze fatal cases of intestinal lesions in a new Covid-19 infection. In total, 9 patients with fatal intestinal lesions were identified out of a total of 2,781 deaths during the three years of operation of the Nikolaevskaya Hospital hospital in St. Petersburg, which was repurposed to provide medical care to patients with the new coronavirus infection Covid-19 (SARS-Cov-2). The described pathoanatomical manifestations in the form of mesenteric vascular thrombosis and wall necrosis, corresponding to the clinical definition of «fatal intestinal lesion», are recognized as conditions incompatible with life and unavoidable at the stage of qualified and specialized therapeutic care.

Long COVID: A risk factor for anxiety, depression, and suicidality?

In many COVID-19 survivors, symptoms continue for a long time. This study aims to examine the relationship between the long-term effects of COVID-19, levels of anxiety and depression, and suicidal ideation with sociodemographic factors and symptoms. A cross-sectional study was conducted on patients who came for control at least 3 months after having COVID-19 disease, in the stable period, and still have symptoms after COVID-19. Demographic characteristics, symptoms, The Beck Depression Scale (BDS), The Beck Anxiety Scale (BAS), and suicidal ideation were assessed with face-to-face questionnaires. A total of 490 patients participated in the study. Thirty percent of patients scored positive on the BDS and 46% scored high on the BAS. Female sex was found to be a risk factor. Anxiety and depression were found to be significantly associated with long COVID symptoms. Both BAS and BDS scores were significantly higher in people with suicidality compared to others, and long-term symptoms were found to be statistically associated with this situation. Depression and anxiety are common in cases of long COVID. It is important for healthcare professionals to be aware of these potential mental health consequences, especially suicidality, and to provide appropriate support and interventions for individuals with long COVID.

Predictors of Fertility Desire During COVID-19 Pandemic: A Cross Sectional Study

Background: Fertility, the most important factor in population growth, is affected by various factors, including pandemics. COVID-19 (CV) was a global challenge that spread rapidly around the world. Objective: This study aimed to investigate predictors of fertility desire during the covid virus pandemic. Methods: In this cross-sectional study, 315 women who visited health centers in northern Iran for vaccination against covid virus were recruited using convenient sampling. The participants completed the sociodemographic information, Fertility Desire Scale, and Fear of covid virus scale. Logistic regression analysis was employed to assess the predictive factors of fertility desire. Results: The participants' mean age and marriage duration were 34.4 ± 6.7, and 7.3±11.5 years, respectively. It showed fertility desire among household women was about twofold more compared to employed ones [Odds Ratio (OR) = 1.96, p = 0.009)]. The fertility desire was decreased among more educated women (OR = 0.43, p= 0.035), women with one child (OR = 0.44, p= 0.030), and women with no infant gender preferences (OR = 0.53, p= 0.032). Fear of covid virus and any history of covid virus infection in the participants or their close relatives did not change fertility desire (P &gt; 0.05). Conclusion: In conclusion, health policymakers should pay more attention to the potential effects of women's employment, their educational status, and their attitude toward infant gender preferences on fertility desire during the development of programs. Further research is needed to examine this empirical association on a global scale and its effect on trying to conceive.

Optimizing classification models for medical image diagnosis: a comparative analysis on multi-class datasets

The surge in machine learning (ML) and artificial intelligence has revolutionized medical diagnosis, utilizing data from chest ct-scans, COVID-19, lung cancer, brain tumor, and alzheimer parkinson diseases. However, the intricate nature of medical data necessitates robust classification models. This study compares support vector machine (SVM), naïve Bayes, k-nearest neighbors (K-NN), artificial neural networks (ANN), and stochastic gradient descent on multi-class medical datasets, employing data collection, Canny image segmentation, hu moment feature extraction, and oversampling/under-sampling for data balancing. Classification algorithms are assessed via 5-fold cross-validation for accuracy, precision, recall, and F-measure. Results indicate variable model performance depending on datasets and sampling strategies. SVM, K-NN, ANN, and SGD demonstrate superior performance on specific datasets, achieving accuracies between 0.49 to 0.57. Conversely, naïve Bayes exhibits limitations, achieving precision levels of 0.46 to 0.47 on certain datasets. The efficacy of oversampling and under-sampling techniques in improving classification accuracy varies inconsistently. These findings aid medical practitioners and researchers in selecting suitable models for diagnostic applications.

Assessing the influence of nursing home size and care models on COVID-19 case and mortality rates

IntroductionThis study examines the impact of COVID-19 on older adults in traditional nursing homes, Green Houses (GHs), and Continuing Care Retirement Communities-Nursing Homes (CCRCNHs). MethodsCOVID-19 cases and deaths from CMS and LTCFocus data across 11 states from 6/2020 to 9/2022 were used, and Poisson regressions to compare care settings while adjusting for covariates. ResultsCCRCNH and GH residents were older (84.4 and 83.1 years) than those in traditional NHs (77.5 and 77.6 years, p < 0.0001), with more female and White individuals. COVID-19 risk was higher in CCRCNHs (RR 1.51, 95 % CI 1.10–2.07), large NHs (RR 1.57, 95 % CI 1.14–2.15), and highest in small NHs (RR 1.80, 95 % CI 1.32–2.47). Mortality rates across NH types showed no significant difference. ConclusionThe study shows that smaller, person-centered GHs are more effective in controlling COVID-19 infection, suggesting a need to rethink care models to incorporating GH features for better outcomes.GEORGE2 07-AUG-2024 11:31.

PP406 Topic: AS14–Infections: Sepsis and Septic Shock/Antimicrobial Stewardship/Tropical and Parasite Infections/Other: ANTIPHOSPHOLIPID ANTIBODY LEVELS IN CHILDREN WITH SEVERE COVID-19 INFECTION

PP406 Topic: AS14–Infections: Sepsis and Septic Shock/Antimicrobial Stewardship/Tropical and Parasite Infections/Other: ANTIPHOSPHOLIPID ANTIBODY LEVELS IN CHILDREN WITH SEVERE COVID-19 INFECTION