Diagnosis Of COVID-19 Research Articles

Uptake, Acceptability, and Results of SARS-CoV-2 Antigen Rapid Diagnostic Testing in Community Settings in Cameroon.

Mass gathering event restrictions were part of mitigation measures during the COVID-19 pandemic that were lifted as prevalence decreased and after vaccination rollout. We explored SARS-CoV-2 antigen rapid diagnostic test acceptability and positivity in community settings in Cameroon. In August-October 2022, community workers sensitized and referred individuals for COVID-19 testing to nearby testing points in Douala and Yaoundé. Participants consented to SARS-CoV-2 antigen rapid diagnostic testing, a survey, or both components. We describe the positivity rate, COVID-19-related history, and Likert-scale testing perceptions. Factors associated with testing acceptance were analyzed using logistic regression. Overall, 20.5% (2,449/11,945) of sensitized individuals visited testing points, and 1,864 (76.1%) were enrolled; 50.6% accepted the survey and testing (46.0% accepted survey only). Seven (0.7%) of 1,006 individuals tested positive. Most (71.8%; 1,292/1,800) considered community testing more accessible than hospital-based testing. Individuals accepting versus refusing testing differed in perceived COVID-19 risk (67%, 49%; P <0.001), belief in accurate test results (79%, 47%; P <0.001), and ability to test easily (96%, 55%; P <0.001). Males (adjusted odds ratio [aOR]: 1.26 [1.04-1.53]) and those over 50 years (aOR: 1.9 [1.4-2.7]), with symptoms (aOR: 1.80 [1.30-2.50]), and at least partial vaccination (aOR: 0.76 [0.58-0.99]) were significantly associated with test acceptance. Refusal reasons included lack of perceived need for testing (33.8%) and testing discomfort (26.3%). Although community-based testing was generally perceived as important, actual testing uptake was low. In future pandemics, community testing should be optimized by addressing misinformation, offering alternative testing modalities for greater comfort, creating demand, and tailoring approaches to maximize testing uptake.

SARS-CoV-2 Infection and New-Onset Type 2 Diabetes Among Pediatric Patients, 2020 to 2022

In adults, diagnoses of new-onset type 2 diabetes (T2D) have increased following diagnosis with COVID-19, but whether this occurs in children is unclear. To determine whether risk of incident T2D diagnosis is increased during the 6 months after SARS-CoV-2 infection among children. This retrospective cohort study used electronic health records from the TriNetX analytics platforms between January 1, 2020, and December 31, 2022. Pediatric patients aged 10 to 19 years without preexisting diabetes were eligible for inclusion. Data were analyzed from August 15 to September 15, 2023, with supplemental analyses January 20 and August 8 to 13, 2024. Diagnosis of COVID-19 or a non-COVID-19 respiratory infection. New diagnosis of T2D compared by risk ratios (RRs) and 95% CIs at 1, 3, and 6 months after index infection. The main study population included 613 602 patients, consisting of 306 801 with COVID-19 (mean [SD] age at index, 14.9 [2.9] years; 52.8% female) and 306 801 with other respiratory infections (ORIs) but no documented COVID-19 (mean [SD] age at index, 14.9 [2.9] years; 52.6% female) after propensity score matching. Risk of a new diagnosis of T2D was significantly increased from day of infection to 1, 3, and 6 months after COVID-19 diagnosis compared with the matched cohort with ORIs (RR at 1 month, 1.55 [95% CI, 1.28-1.89]; RR at 3 months: 1.48 [95% CI, 1.24-1.76]; RR at 6 months: 1.58 [95% CI, 1.35-1.85]). Similar results were found in the subpopulation classified as having overweight or obesity (RR at 1 month: 2.07 [95% CI, 1.12-3.83]; RR at 3 months: 2.00 [95% CI, 1.15-3.47]; RR at 6 months: 2.27 [95% CI, 1.38-3.75]) and the hospitalized subpopulation (RR at 1 month: 3.10 [95% CI, 2.04-4.71]; RR at 3 months: 2.74 [95% CI, 1.90-3.96]; RR at 6 months: 2.62 [95% CI, 1.87-3.66]). Similar elevation in risk was found at 3 and 6 months when excluding patients diagnosed during the interval from the index date to 1 month after infection. In this retrospective cohort study of children and adolescents aged 10 to 19 years, the risk of an incident diagnosis of T2D was greater following a COVID-19 diagnosis than in children diagnosed with ORIs. Further study is required to determine whether diabetes persists or reverses later in life.

Feasibility, Acceptability, Satisfaction, and Challenges of an mHealth App (e-ASCov) for Community-Based COVID-19 Screening by Community Health Workers in Rwanda: Mixed Methods Study.

Although at the base of the pyramid-shaped organization of the Rwandan health system, community health workers (CHWs) are central to the community-based management of disease outbreaks. This mixed methods study aimed to explore the feasibility, acceptability, satisfaction, and challenges of a mobile health (mHealth) tool for community-based COVID-19 screening in Rwanda. Two urban (Gasabo and Nyarugenge) and 2 rural (Rusizi and Kirehe) districts in Rwanda participated in the project (smartphone app for COVID-19 screening). A mixed methods approach was used to inform the feasibility (awareness and expectation), acceptability (use and perceived benefits), satisfaction, and challenges of the mHealth intervention. At the end of the project, CHWs were asked to complete a quantitative questionnaire on the use of and satisfaction with the app. Then, in-depth interviews and focus group discussions were organized with CHWs. A content analysis was performed on the transcripts. Overall, 383 CHWs were recruited and trained; 378 CHWs participated in the study. The mean age of CHWs was 36.7 (SD 6.6) to 45.3 (SD 9.9) years and most were women (237/378, 62.7%). More than 7000 people were registered with the use of the app and 20% were referred to a local COVID-19 testing facility. According to CHW reporting, the median number of people screened by each CHW ranged from 152 (IQR 70-276) for Nyarugenge to 24 (IQR 16-90) for Rusizi. COVID-19 positivity rates were higher in urban than rural districts: more than half of the CHWs in Gasabo reported a confirmed positive case versus only 2.4% for Kirehe and 15.4% for Rusizi. Despite the app being a novel tool, CHWs were well aware of the use of such a tool and had appropriate expectations. Acceptability and satisfaction were very high, with differences between urban and rural districts. Satisfaction was higher in Nyarugenge (72.8/100) and Gasabo (80.7/100) than in Kirehe (61.6/100) and Rusizi (64.5/100). More than 80% of the CHWs were willing to continue using the e-ASCov app, with the exception of CHWs in Kirehe (56.7%). The app was perceived as a tool to generate information on COVID-19, inform on the status of the pandemic, and help curb the spread of the pandemic in Rwanda. CHWs were satisfied with the app at all stages of its implementation in their districts. In this proof-of-concept study, a smartphone app for screening COVID-19 was useful as an mHealth tool to be used by CHWs, with the potential to increase health system efficiency in an epidemic context. The context should be analyzed for generalization on a country-wide scale, both in case of an epidemic and to take into account certain conditions at the community level. Information is needed on the conditions of generalization and transferability of this type of app to other health conditions so that CHWs can be given their full place in a pyramidal health system.

SARS-CoV-2 infection and the risk of depressive symptoms: a retrospective longitudinal study from the population-based CONSTANCES cohort.

Should COVID-19 have a direct impact on the risk of depression, it would suggest specific pathways for prevention and treatment. In this retrospective population-based study, we aimed to examine the association of prior SARS-CoV-2 infection with depressive symptoms, distinguishing self-reported v. biologically confirmed COVID-19. 32 007 participants from the SAPRIS survey nested in the French CONSTANCES cohort were included. COVID-19 was measured as followed: ad hoc serologic testing, self-reported PCR or serology positive test results, and self-reported COVID-19. Depressive symptoms were measured with the Center of Epidemiologic Studies-Depression Scale (CES-D). Outcomes were depressive symptoms (total CES-D score, its four dimensions, and clinically significant depressive symptoms) and exposure was prior COVID-19 (no COVID-19/self-reported unconfirmed COVID-19/biologically confirmed COVID-19). In comparison to participants without COVID-19, participants with self-reported unconfirmed COVID-19 and biologically confirmed COVID-19 had higher CES-D scores (β for one interquartile range increase [95% CI]: 0.15 [0.08-0.22] and 0.09 [0.05-0.13], respectively) and somatic complaints dimension scores (0.15 [0.09-0.21] and 0.10 [0.07-0.13]). Only those with self-reported but unconfirmed COVID-19 had higher depressed affect dimension scores (0.08 [0.01-0.14]). Accounting for ad hoc serologic testing only, the CES-D score and the somatic complaints dimension were only associated with the combination of self-reported COVID-19 and negative serology test results. The association between COVID-19 and depressive symptoms was merely driven by somatic symptoms of depression and did not follow a gradient consistent with the hypothesis of a direct impact of SARS-CoV-2 infection on the risk of depression.

Exploring differences in perceived barriers and facilitators to COVID-19 vaccine uptake and testing intention by vaccination status and testing hesitancy among rural Latino communities in Southwest Florida

ABSTRACT Background: Identifying factors impacting vaccination and testing for COVID-19 is crucial to reduce health disparities, especially for rural/agricultural, low access and high poverty Latino communities disproportionately affected by the pandemic. This study examined differences in perceived barriers and facilitators (such as values, beliefs, and concerns) to COVID-19 vaccine uptake and testing intention by vaccination status and testing hesitancy among rural Latino community members in Southwest Florida. Methods: Rural Latino community members (N = 493) completed a cross-sectional survey in Spanish (86.0%) or English (14.0%) on perceived COVID-19 vaccine/testing barriers and facilitators, as well as demographics, mental health, medical history, health perceptions, and health literacy. Results: At the time of the survey, approximately 43% of participants were unvaccinated and 46.4% were testing hesitant. Significantly more vaccinated participants acknowledged keeping their family (d = .25), community (d = .27), and themselves (d = .22) safe as facilitators to vaccination (ps < .001). Among the unvaccinated participants, the most common concerns for getting vaccinated were side effects (d = −.53) and lack of knowledge about how the vaccine works (d = −.35, ps < .001). Testing hesitant participants reported concerns including not knowing where to get tested (d = −.25, p = 0.01) and less confidence in a positive test result (d = −.40, p < 0.001). Doctors and faith leaders were ranked as the most trusted information sources across groups. In logistic regression models, vaccination was linked to age, gender, education, and protecting others, while concerns about needles and side effects reduced odds; testing was driven by education, anxiety, hope, and safety concerns. Conclusion: Promoting family and community safety may be effective facilitators influencing vaccine and testing intention in rural Latino communities. Enhanced education by trusted information sources, such as doctors and faith leaders may alleviate associated concerns. Our findings may inform actions for future pandemics. Further studies should determine the generalizability of our findings across other rural migrant communities and other vaccines.

Acoustic and Clinical Data Analysis of Vocal Recordings: Pandemic Insights and Lessons.

Background/Objectives: The interest in processing human speech and other human-generated audio signals as a diagnostic tool has increased due to the COVID-19 pandemic. The project OSCAR (vOice Screening of CoronA viRus) aimed to develop an algorithm to screen for COVID-19 using a dataset of Portuguese participants with voice recordings and clinical data. Methods: This cross-sectional study aimed to characterise the pattern of sounds produced by the vocal apparatus in patients with SARS-CoV-2 infection documented by a positive RT-PCR test, and to develop and validate a screening algorithm. In Phase II, the algorithm developed in Phase I was tested in a real-world setting. Results: In Phase I, after filtering, the training group consisted of 166 subjects who were effectively available to train the classification model (34.3% SARS-CoV-2 positive/65.7% SARS-CoV-2 negative). Phase II enrolled 58 participants (69.0% SARS-CoV-2 positive/31.0% SARS-CoV-2 negative). The final model achieved a sensitivity of 85%, a specificity of 88.9%, and an F1-score of 84.7%, suggesting voice screening algorithms as an attractive strategy for COVID-19 diagnosis. Conclusions: Our findings highlight the potential of a voice-based detection strategy as an alternative method for respiratory tract screening.

Prevalence of Vitamin D Deficiency in Patients with Fatigue and Neuropsychiatric Symptoms of Long COVID and its Correlation with Symptom Severity

Background: Despite the potential role of vitamin D in the acute phase of COVID-19, studies on its prevalence and association with long COVID severity are limited, leaving the relationship between vitamin D levels and long COVID symptoms unclear. Aim: The objective of this study was to investigate the prevalence of vitamin D deficiency in patients with fatigue or neuropsychiatric symptoms of long COVID and its correlation with the severity of symptoms. Methods: A cross-sectional, single-center study was conducted at Thammasat University Hospital, Thailand. The study recruited participants between the ages of 18 and 60 years who had received a diagnosis of COVID-19 and had at least one long COVID symptom, including fatigue or neuropsychiatric symptoms. Vitamin D level was collected, and clinical severity was assessed using the Chalder Fatigue Scale [CFQ-11], Depression, Anxiety and Stress Scale-21 Items [DASS-21], Pittsburgh Sleep Quality Index [PSQI], Addenbrooke's Cognitive Examination III [ACE], and Trail Making Test A &amp; B [TMT-A and TMT-B]. Results: A total of 82 patients were recruited; most were female [78%], with a mean age of 34.2 years. Most participants had a vitamin D deficiency [&lt;20 ng/mL, 73.2%], accounting for 23.2% vitamin D insufficiency [20-30 ng/mL], and 3.6% had an adequate vitamin D level. Only gender was associated with vitamin D levels. Multivariable analysis demonstrated that the vitamin D level was not correlated with all clinical outcomes, including total CFQ, total DASS, DASS depression, DASS anxiety, total PSQI, total ACE score, and total TMT scores. Conclusion: The prevalence of vitamin D insufficiency and deficiency was high in patients with long COVID, with female gender serving as predictors of lower vitamin D levels. However, no associations were found between vitamin D level and fatigue syndrome, depression, anxiety, sleep problems, or cognitive function.

Polypurine reverse hoogsteen hairpins as a therapeutic tool for SARS-CoV-2 infection

Although COVID-19 pandemic was declared no longer a global emergency by the World Health Organization in May 2023, SARS-CoV-2 is still infecting people across the world. Many therapeutic oligonucleotides such as ASOs, siRNAs or CRISPR-based systems emerged as promising antiviral strategies for the treatment of SARS-CoV-2. In this work we explored the inhibitory potential on SARS-CoV-2 replication of Polypurine Reverse Hoogsteen Hairpins (PPRHs), CC1-PPRH and CC3-PPRH, targeting specific polypyrimidine sequences within the replicase and Spike regions, respectively, and previously validated for COVID-19 diagnosis. Both PPRHs bound to their target sequences in the viral genome with high affinity in the order of nM. In vitro, both PPRHs reduced viral replication by more than 92% when transfected into VERO-E6 cells 24 hours prior infection with SARS-CoV-2. In vivo intranasal administration of CC1-PPRH in K18-hACE2 mice expressing the human ACE receptor protected all the animals from SARS-CoV-2 infection. The properties of PPRHs position them as promising candidates for the development of novel therapeutics against SARS-CoV-2 and other viral infections.

STI Rates Among High-Risk Youth Undeterred During Early COVID-19 In A HIV Care Clinic

Abstract Background In recent years, the United States has observed increasing rates of sexually transmitted infections (STIs). Rates are highest amongst the teen and young adult age groups. In addition to the immense healthcare costs associated with STIs, long-term sequelae can be severe on the individual level. The risk of infertility is particularly high for those with repeated or prolonged infection. Upon entering the COVID-19 pandemic, it was unclear if the widespread behavioral changes and disruptions in routine care practices to minimize the further spread of COVID-19 would cause an increase or decrease in the United States’ STI rates. This study sought to determine if there was a change in the incidence of STIs during the first year of the COVID-19 pandemic compared to the year prior in a population at high risk for STIs. Methods A retrospective chart review was performed for 330 patients aged 12 to 41 years (mean 20.2 years, median 20 years, standard deviation 3.75 years) with human immunodeficiency virus (HIV) or on pre-exposure prophylaxis (PrEP) to prevent the acquisition of HIV, who presented for preventative and acute care appointments at a multidisciplinary pediatric and young adult HIV Clinic in the year prior to and during the first year of the COVID-19 pandemic (March 22, 2019-March 21, 2021). Utilizing telehealth, rapid COVID-19 screening, and multimodal patient communication, increased efforts were made in this clinic during the pandemic to maintain appropriate STI screening, testing, treatment, and rescheduling of routine visits when appropriate to minimize COVID-19 exposure and spread. Comparisons were made between the two time periods, which evaluated the incidences of individual and overall STIs diagnosed per person-years, STIs per total tests performed, and time to treatment initiation. Results Between one year prior to and the first year during the COVID-19 pandemic, this clinic experienced no statistically significant rate changes of sexually transmitted infections. A non-significant decreased incidence of chlamydia (22 cases per 100 person-years and 18 cases per 100 person-years, respectively) and unchanged rates of gonorrhea (22 cases per 100 person-years and 22 cases per 100 person-years, respectively) and syphilis (16 cases per 100 person-years and 15 cases per 100 person-years, respectively) were observed. The median times to treatment remained largely unchanged. Conclusion This HIV care clinic experienced a decreased chlamydia infection rate, a trend similar to the CDC United States STI data during this time period. In contrast to the nationally reported increased rates of gonorrhea and syphilis, this clinic experienced unchanged rates. The lack of change in our cohort could reflect that the benefits of a multidisciplinary HIV care model persist despite a pandemic that disrupted routine medical care and behavior practices.

The evaluation of SARS-CoV-2 mutations at the early stage of the pandemic in Istanbul population

BackgroundDetermination of SARS-CoV-2 variant is significant to prevent the spreads of COVID-19 disease.MethodsWe aimed to evaluate the variants of SARS-CoV-2 rate in positive patients in Kanuni Sultan Suleyman Training and Research Hospital (KSS-TRH), Istanbul, Türkiye between 1st January and 30th November 2021 by using RT-PCR method.ResultsHerein, 825,169 patients were evaluated (male:58.53% and female:41.47%) whether COVID-19 positive or not [( +):21.3% and (−):78.7%] and 175,367 patient was described as positive (53.2%-female and 46.8%-male) by RT-PCR. COVID-19 positive rate is observed highest in the 6–15- and 66–75-year age range. The frequencies were obtained as SARS-CoV-2 positive (without mutation of B.1.1.7 [B.1.1.7 (U.K), E484K, L452R, B.1.351 (S. Africa/Brazil) spike mutations] as 66.1% (n: 115,899), B.1.1.7 Variant as 23.2% (n:40,686), Delta mutation (L452R) variant as 9.8% (n:17,182), B.1.351 variant as 0.8% (n:1370) and E484K as 0.1% (n: 230). In April 2021, general SARS-CoV-2 and B.1.1.7 variant were dominantly observed. Up to July 2021, B.1.617.2 (Delta variant/ Indian variant) and E484K has been not observed. B.1.351 variant of SARS-CoV-2 has been started in February 2021 at the rarest ratio and March 2021 is the top point. September 2021 is the pick point of E484K. African/Brazil variant of SARS-CoV-2 has been started in February 2021 at the rarest ratio and March 2021 is the top point. September 2021 is the pick point of E484K. When the gender type is compared within the variants, women were found to be more prevalent in all varieties.ConclusionsThe meaning of these mutations is very important to understand the transmission capacity of the COVID-19 disease, pandemic episode, and diagnosis of the virus with mutation types. Understanding the variant type is important for monitoring herd immunity and the spread of the disease.

Polymorphism of RAAS genes in patients with COVID-19: comparison with frequency in population and relationship with severity of course

Evaluation of genes polymorphisms frequencies of angiotensinogen (AGT), angiotensin converting enzyme type 1 (ACE1) and angiotensin II receptors type 1 (AGTR1) and type 2 (AGTR2) in patients admitted with coronavirus disease (COVID-19) and its association the severity of severe acute respiratory syndrome-related coronavirus-2 (SARS-CoV-2). The study included 100 patients admitted to the hospital with a laboratory-confirmed diagnosis of COVID-19. All patients were identified with alleles and genotypes of polymorphic markers rs4762 of the AGT gene, rs1799752 of the ACE1 gene, rs5186 of the AGTR1 gene and rs1403543 of the AGTR2 gene. The frequencies of each polymorphisms were compared with population. Statistical processing was performed using the Statistica 8.0 software package. In evaluated cohort there was higher frequency of D-allele ACE1 rs1799752 compared to population. Depending on the availability of criteria for the severity of coronavirus infection, 44 (44%) patients were diagnosed with severe, 56 (56%) with moderate course. The groups did not significantly differ in age, gender, cardiovascular risk factors and comorbid pathology. In the groups with severe and moderate course, the same distribution of genotypes and alleles of AGT rs4762, AGTR2 rs1403543 and ACE1 rs1799752 was revealed. For the I/D alleles of the ACE1 rs1799752 gene, a significant deviation from the papulation was found in both the group of severe and moderate COVID-19. In the group with a severe course of the disease, a higher frequency of the mutant C-allele of the AGTR1 rs5186 gene was detected. In the same group, a deviation in the frequency ratio of A and C of the AGTR1 rs5186 alleles from Hardy-Weinberg Equilibrium was found. When calculating the risk of severe COVID-19 in the presence of the C-allele compared with the A-allele, an odds ratio 2.092 (95% confidence interval 1.066-4.108) was obtained. The data obtained suggest that the genes polymorphisms of the components of renin-angiotensin-aldosterone system, namely D-allele of ACE1 rs1799752 and C-allele of AGTR1 rs5186, may make it possible to identify groups of patients predisposed to the development of more severe COVID-19.

Metabolomic profiling of COVID-19 using serum and urine samples in intensive care and medical ward cohorts

The COVID-19 pandemic remains a significant global health threat, with uncertainties persisting regarding the factors determining whether individuals experience mild symptoms, severe conditions, or succumb to the disease. This study presents an NMR metabolomics-based approach, analysing 80 serum and urine samples from COVID-19 patients (34 intensive care patients and 46 hospitalized patients) and 32 from healthy controls. Our research identifies discriminant metabolites and clinical variables relevant to COVID-19 diagnosis and severity. These discriminant metabolites play a role in specific pathways, mainly “Phenylalanine, tyrosine and tryptophan biosynthesis”, “Phenylalanine metabolism”, “Glycerolipid metabolism” and “Arginine and proline metabolism”. We propose a three-metabolite diagnostic panel—comprising isoleucine, TMAO, and glucose—that effectively discriminates COVID-19 patients from healthy individuals, achieving high efficiency. Furthermore, we found an optimal biomarker panel capable of efficiently classify disease severity considering both clinical characteristics (obesity/overweight, dyslipidemia, and lymphocyte count) together with metabolites content (ethanol, TMAO, tyrosine and betaine).

Glycemic Management in Patients with COVID-19 Admitted to the Intensive Care Unit: Evaluation of Glycemic Control and Drug Therapy.

Emerging evidence describes the high incidence and strong impact of hyperglycemia on the outcomes of critically ill patients with a diagnosis of COVID-19. Given resource limitations during the COVID-19 pandemic, clinicians moved away from using continuous IV infusions of insulin to manage hyperglycemia. To evaluate glycemic control in critically ill patients receiving various medication regimens to manage their hyperglycemia. This retrospective cohort study involved 120 mechanically ventilated adult patients (> 18 years) with COVID-19 who were admitted to the intensive care unit (ICU) between February 2020 and December 2021. The following data were collected for the first 14 days of the ICU admission: blood glucose values (up to 4 times daily), hypoglycemia events, and antihyperglycemic medication regimens. The use of IV insulin infusions maintained glucose measurements within the target range of 4 to 10 mmol/L more often than any other medication regimen, with 60% of measured values falling within the target range. The use of a sliding-scale insulin regimen maintained 52% of glucose measurements within the target range. Oral hypoglycemic agents performed relatively poorly, with only 12% to 29% of glucose measurements within range. The coadministration of corticosteroids led to worse glycemic control across all medication regimens. This study confirmed that ICUs should continue using the standard protocol of IV insulin infusion to achieve recommended blood glucose targets in critically ill patients with COVID-19, particularly those receiving corticosteroids.

Assentamento Lagoa do Prado: ações de intervenção em saúde no Nordeste do Brasil

The interaction between humans and the environment is complex and dynamic, involving factors that may change over time, such as disease control, which relies on social interventions. In Northeast Brazil, in Parnaíba, Piauí, there is a rural community located far from the city, the Lagoa do Prado settlement. The families living in the region do not have access to continuous health programs; the nearest health post is located in Baixa da Carnaúba, another locality in the municipality of Parnaíba, Piauí. Therefore, social health actions were carried out in the Lagoa do Prado settlement, Parnaíba, Piauí, through blood pressure measurement, capillary blood glucose testing, COVID-19 testing, and anthropometric data collection. For data collection, research techniques such as direct observation, intervention, and interviews were used. The study population consisted of 87 rural workers. Thus, health promotion in rural areas becomes necessary, especially activities aimed at transforming individuals' behaviors, focusing on the analysis and change of lifestyle habits.

BUGTGNN: Bayesian Uncertainty and Game Theory for Enhancing Graph Neural Networks through Mathematical Analysis

The ongoing COVID-19 pandemic has emphasized the critical need for rapid and accurate diagnostic methods. Precise classification of chest X-ray images into COVID-19 and non-COVID-19 cases serves as a pivotal tool in effective disease management and control. Existing methods often suffer from trade-offs between accuracy, precision, and computational efficiency, hindering their practical utility. Current approaches mainly rely on traditional machine learning algorithms or Convolutional Neural Networks (CNNs), which while effective, still present limitations in terms of sensitivity, specificity, and computational speed. These constraints necessitate the exploration of innovative techniques for improving classification metrics across multiple dimensions. In this work, we introduce a novel framework for optimizing Graph Neural Networks (GNNs) through mathematical analysis, specifically incorporating spectral methods, dynamic graph sparsification, game-theoretic attention mechanisms, Bayesian uncertainty models, and advanced graph partitioning techniques. When applied to the classification of COVID-19 chest X-rays, our model demonstrated significant improvements—increasing precision by 8.3%, accuracy by 8.5%, recall by 4.9%, specificity by 4.5%, and the Area Under the Curve (AUC) by 5.9%, while simultaneously reducing computational delay by 10.5% across multiple datasets. The proposed optimization strategies showcase the power of interdisciplinary approaches in advancing machine learning techniques for medical applications. The demonstrated improvements in classification metrics and computational efficiency highlight the model's potential for broader adoption in healthcare settings, providing a robust, fast, and more accurate tool for COVID-19 diagnosis.

SSRI use during acute COVID-19 and risk of long COVID among patients with depression

BackgroundLong COVID, also known as post-acute sequelae of COVID-19 (PASC), is a poorly understood condition with symptoms across a range of biological domains that often have debilitating consequences. Some have recently suggested that lingering SARS-CoV-2 virus particles in the gut may impede serotonin production and that low serotonin may drive many Long COVID symptoms across a range of biological systems. Therefore, selective serotonin reuptake inhibitors (SSRIs), which increase synaptic serotonin availability, may be used to prevent or treat Long COVID. SSRIs are commonly prescribed for depression, therefore restricting a study sample to only include patients with depression can reduce the concern of confounding by indication.MethodsIn an observational sample of electronic health records from patients in the National COVID Cohort Collaborative (N3C) with a COVID-19 diagnosis between September 1, 2021, and December 1, 2022, and a comorbid depressive disorder, the leading indication for SSRI use, we evaluated the relationship between SSRI use during acute COVID-19 and subsequent 12-month risk of Long COVID (defined by ICD-10 code U09.9). We defined SSRI use as a prescription for SSRI medication beginning at least 30 days before acute COVID-19 and not ending before SARS-CoV-2 infection. To minimize bias, we estimated relationships using nonparametric targeted maximum likelihood estimation to aggressively adjust for high-dimensional covariates.ResultsWe analyzed a sample (n = 302,626) of patients with a diagnosis of a depressive condition before COVID-19 diagnosis, where 100,803 (33%) were using an SSRI. We found that SSRI users had a significantly lower risk of Long COVID compared to nonusers (adjusted causal relative risk 0.92, 95% CI (0.86, 0.99)) and we found a similar relationship comparing new SSRI users (first SSRI prescription 1 to 4 months before acute COVID-19 with no prior history of SSRI use) to nonusers (adjusted causal relative risk 0.89, 95% CI (0.80, 0.98)).ConclusionsThese findings suggest that SSRI use during acute COVID-19 may be protective against Long COVID, supporting the hypothesis that serotonin may be a key mechanistic biomarker of Long COVID.

Prone position applied to COVID-19 patients: Systematic review-meta-analysis.

Position change and interventions to increase lung capacity should be considered in mechanically ventilated patients. The most effective of these is the prone position. This systematic review and meta-analysis aimed to determine the effects of the prone position on respiratory parameters and outcomes and to guide nurses working in the intensive care unit. This systematic review-meta-analysis was conducted in accordance with the Preferred Reporting in Systematic Reviews and Meta-Analyses guideline. ScienceDirect, CINAHL, Academic Search Complete (EBSCOhost), MEDLINE, EMBASE, Web of Science, Cochrane and PubMed databases were searched between January 2022 and January 2023 to access studies related to prone position in COVID-19 patients. Twenty-three studies were included. This meta-analysis shows that a prone position is feasible and can achieve improvements in gas exchange. Prone position increases PaO2/FiO2 in the majority of patients followed with a diagnosis of COVID-19 and severe hypoxemic. The study has shown that the prone position is effective in improving patients' respiratory function and oxygenation. The results presented in this article support the notion that the prone position can be an effective strategy in the clinical management of COVID-19 patients.

Performance of CO-RADS in the diagnosis of COVID-19 in hemodialysis patients.

Different data systems have been used to reach a common decision in the interpretation of chest computed tomography (CT) scans for the detection of COVID-19 infection. The aim of our study was to determine the usefulness of the COVID-19 Reporting and Data System (CO-RADS) for COVID-19 in patients undergoing hemodialysis. We included 90 hemodialysis patients who underwent chest CT and had samples available for real-time reverse transcription-polymerase chain reaction (RT-PCR). The files of the patients were retrospectively reviewed and the data were recorded. Image interpretation and CO-RADS staging were performed retrospectively by two radiologists experienced in COVID-19 patients, blinded to the RT-PCR results. The RT-PCR results were then compared with the CO-RADS stages obtained. The success of CO-RADS in diagnosing COVID-19 was evaluated according to its prediction of a positive RT-PCR result. At the same time, the relationship between CO-RADS stages and prognosis was also evaluated. Patients were divided into two groups according to the RT-PCR results, of which 38 (42.2%) had positive results. Validity tests of CO-RADS were performed according to the RT-PCR test. While 71.1% of patients with CO-RADS ≥4 were RT-PCR (+), 13.2% of patients with CO-RADS ≤2 were RT-PCR (+) (p < 0.001). CO-RADS ≥4 detected COVID-19 with 71.1% sensitivity and 51.9% specificity. ROC analysis confirmed the diagnostic performance of CO-RADS for predicting RT-PCR positivity with AUC = 0.73 (95% CI: 0.63-0.84). The relationship between CO-RADS stages and mortality was not significant (p = 0.21). CO-RADS is moderately sensitive and poorly specific for the diagnosis of COVID-19 in hemodialysis patients. In these patients, CO-RADS would be more useful to exclude other infections than to diagnose COVID-19.

Comparison of Nucleocapsid Antigen, ORIF 1ab and RdRp (RNA-Dependent RNA Polymerase) in the Diagnosis of COVID-19

Comparison of Nucleocapsid Antigen, ORIF 1ab and RdRp (RNA-Dependent RNA Polymerase) in the Diagnosis of COVID-19

Forensic assessment of maternal deaths from the COVID-19 during the 2021 pandemic

BACKGROUND: According to the literature, the mortality rate from SARS-CoV-2 infection among pregnant women is up to 25%. The high-risk group for the development of severe forms of COVID-19 includes pregnant women with extragenital pathology. Obstetric tactics are determined by the severity of the condition of the mother and fetus, as well as the duration of pregnancy. The decision on early delivery is made as a result of an interdisciplinary medical consultation. Delivery in the midst of the disease is associated with an increase in maternal mortality. According to the literature, including our own research, it has been established that the basis for favorable perinatal outcomes in patients with severe and moderate forms of COVID-19 is: an adequate assessment of the condition of the pregnant woman and fetus (especially at the outpatient stage, where the pregnant woman goes first), early hospitalization, early initiation of intensive care and timely delivery before the onset of irreversible organ changes in pregnant women. AIM: The aim of this study was to analyze the tactics of pregnancy management, delivery and perinatal outcomes, assessing the quality of medical care at the outpatient and hospital stages provided to pregnant women who died in a specialized obstetric hospital from the extremely severe new coronavirus infection COVID-19 (based on the data of commission forensic examinations). MATERIALS AND METHODS: This retrospective study of pregnancy outcomes was performed in 11 patients who died from complications of extremely severe COVID-19 in a regional specialized obstetric hospital in Russia based on the data of commission forensic examinations performed in the Bureau of Forensic Medical Examination (Saint Petersburg, Russia) in 2021, at gestation periods of 28–34 weeks (n = 7) and 37–39 weeks (n = 4) in the context of assessing the quality of medical care in the field of obstetrics and gynecology. We confirmed the diagnosis of the new coronavirus infection COVID-19 in 10 (90.9%) patients by SARS-CoV-2 RNA identification using polymerase chain reaction in a nasopharyngeal smear on an average of 4.9 ± 3.6 days from the onset of the disease. In one patient, the clinical diagnosis was confirmed postmortem by the detection of SARS-Cov-2 RNA during autopsy (in the trachea, lungs, and spleen). All patients in the hospital underwent a comprehensive anamnestic, clinical and laboratory examination in the amount regulated by the administrative regulations of the Ministry of Health of the Russian Federation that were relevant at the time of providing medical care. Nine (81.8%) patients sought medical help from a local therapist on 3.1 ± 1.6 days from the onset of the disease and received outpatient treatment for 3.4 ± 1.8 days, two patients not seeing a doctor and receiving outpatient care. The average time before admission to the specialized obstetric hospital was 6.0 ± 2.2 days from the onset of the disease. RESULTS: During the forensic assessment of the medical records of deceased patients, significant defects in the quality of medical care were identified in the framework of this study at the stages of information collection, diagnosis, treatment, and succession. An indirect causal relationship was established between the most significant defects in the quality of medical care and adverse pregnancy outcomes, since the cause of death or critical conditions were individually determined severe complications, rather than defects in medical care, which, nevertheless, does not exclude their significance in the totality of causes of severe maternal outcomes. CONCLUSIONS: The data obtained indicate the need for earlier delivery in pregnant women with the new coronavirus infection COVID-19 before the appearance of irreversible changes in patients with progressive respiratory failure, multiple organ failure syndrome, systemic inflammatory response syndrome, and cytokine storm.