Laura M. Grajeda, Renata Mendizábal-Cabrera, Juan Carlos Romero, María Reneé López, Evelyn Morales, Beatriz López, Emily Zielinski, Celia Cordón-Rosales
Public market workers may be disproportionally exposed to SARS-CoV-2 due to interactions with shoppers. We aimed to estimate the seroprevalence of SARS-CoV-2 and determine whether occupation or adherence to preventive practices were associated with exposure. From July to December 2021, we longitudinally surveyed two Guatemalan markets twice. We collected blood to detect anti-S IgA, anti-S IgG, and anti-N IgG using ELISA, and a nasopharyngeal swab to detect SARS-CoV-2 using rRT-PCR. We estimated seroprevalences and assessed associations using generalized estimating equations. Of 229 workers, 109 (48%) participated in the first survey and 87 (38%) in the second. At baseline, 77% were female, 64% were aged <40, and 81% were vendors. Overall, the seroprevalence increased between surveys (61% to 89% for anti-S IgA, 53% to 91% for anti-S IgG, and 22% to 29% for anti-N IgG), but the magnitude differed by vaccination status and antibody type. The prevalence of infections decreased from 13% to 1% and most were asymptomatic. Vendor occupation was associated with IgA and IgG anti-S in males but not females. Using a mask was a protective measure. Most market workers had been exposed to SARS-CoV-2, possibly through asymptomatic individuals. Masking is a protective measure to be prioritized during high transmission.
{"title":"Seroprevalence of IgA and IgG against SARS-CoV-2 and Risk Factors in Workers from Public Markets of Guatemala","authors":"Laura M. Grajeda, Renata Mendizábal-Cabrera, Juan Carlos Romero, María Reneé López, Evelyn Morales, Beatriz López, Emily Zielinski, Celia Cordón-Rosales","doi":"10.3390/covid3090097","DOIUrl":"https://doi.org/10.3390/covid3090097","url":null,"abstract":"Public market workers may be disproportionally exposed to SARS-CoV-2 due to interactions with shoppers. We aimed to estimate the seroprevalence of SARS-CoV-2 and determine whether occupation or adherence to preventive practices were associated with exposure. From July to December 2021, we longitudinally surveyed two Guatemalan markets twice. We collected blood to detect anti-S IgA, anti-S IgG, and anti-N IgG using ELISA, and a nasopharyngeal swab to detect SARS-CoV-2 using rRT-PCR. We estimated seroprevalences and assessed associations using generalized estimating equations. Of 229 workers, 109 (48%) participated in the first survey and 87 (38%) in the second. At baseline, 77% were female, 64% were aged <40, and 81% were vendors. Overall, the seroprevalence increased between surveys (61% to 89% for anti-S IgA, 53% to 91% for anti-S IgG, and 22% to 29% for anti-N IgG), but the magnitude differed by vaccination status and antibody type. The prevalence of infections decreased from 13% to 1% and most were asymptomatic. Vendor occupation was associated with IgA and IgG anti-S in males but not females. Using a mask was a protective measure. Most market workers had been exposed to SARS-CoV-2, possibly through asymptomatic individuals. Masking is a protective measure to be prioritized during high transmission.","PeriodicalId":72714,"journal":{"name":"COVID","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134911393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tiffany Eatz, Alejandro Max Antonio Mantero, Erin Williams, Charles J. Cash, Nathalie Perez, Zachary J. Cromar, Adiel Hernandez, Matthew Cordova, Neha Godbole, Anh Le, Rachel Lin, Sherry Luo, Anmol Patel, Yaa Abu, Suresh Pallikkuth, Savita Pahwa
The objectives of this study were to (1) investigate the association between human blood type and COVID-19 in both inpatient and longitudinal populations and (2) identify the association between blood type and severity of COVID-19 via presence of cellular biomarkers of severe infection in hospitalized individuals at our institution in South Florida. This study consisted of (1) a single-center retrospective analysis of 669 out of 2741 COVID-19-positive, screened patients seen from 1 January 2020 until 31 March 2021 at the University of Miami Emergency Department (ED) who tested positive for COVID-19 and had a documented ABO blood type and (2) a longitudinal SARS-CoV-2 immunity study (“CITY”) at the University of Miami Miller School of Medicine, consisting of 185 survey participants. In an inpatient setting, blood type appeared to be associated with COVID-19 severity and mortality. Blood type O sustained less risk of COVID-19 mortality, and blood type O- demonstrated less risk of developing COVID-19 pneumonia. Inpatients with O- blood type exhibited less biomarkers of severe infection than did other blood types. In a longitudinal setting, there was no association found between blood type and SARS-CoV-2 infection.
{"title":"Association of ABO Blood Type with Infection and Severity of COVID-19 in Inpatient and Longitudinal Cohorts","authors":"Tiffany Eatz, Alejandro Max Antonio Mantero, Erin Williams, Charles J. Cash, Nathalie Perez, Zachary J. Cromar, Adiel Hernandez, Matthew Cordova, Neha Godbole, Anh Le, Rachel Lin, Sherry Luo, Anmol Patel, Yaa Abu, Suresh Pallikkuth, Savita Pahwa","doi":"10.3390/covid3090098","DOIUrl":"https://doi.org/10.3390/covid3090098","url":null,"abstract":"The objectives of this study were to (1) investigate the association between human blood type and COVID-19 in both inpatient and longitudinal populations and (2) identify the association between blood type and severity of COVID-19 via presence of cellular biomarkers of severe infection in hospitalized individuals at our institution in South Florida. This study consisted of (1) a single-center retrospective analysis of 669 out of 2741 COVID-19-positive, screened patients seen from 1 January 2020 until 31 March 2021 at the University of Miami Emergency Department (ED) who tested positive for COVID-19 and had a documented ABO blood type and (2) a longitudinal SARS-CoV-2 immunity study (“CITY”) at the University of Miami Miller School of Medicine, consisting of 185 survey participants. In an inpatient setting, blood type appeared to be associated with COVID-19 severity and mortality. Blood type O sustained less risk of COVID-19 mortality, and blood type O- demonstrated less risk of developing COVID-19 pneumonia. Inpatients with O- blood type exhibited less biomarkers of severe infection than did other blood types. In a longitudinal setting, there was no association found between blood type and SARS-CoV-2 infection.","PeriodicalId":72714,"journal":{"name":"COVID","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In bioinformatics research, traditional machine-learning methods have demonstrated efficacy in addressing Euclidean data. However, real-world data often encompass non-Euclidean forms, such as graph data, which contain intricate structural patterns or high-order relationships that elude conventional machine-learning approaches. Representation learning seeks to derive valuable data representations from enhancing predictive or analytic tasks, capturing vital patterns and structures. This method has proven particularly beneficial in bioinformatics and biomedicine, as it effectively handles high-dimensional and sparse data, detects complex biological patterns, and optimizes predictive performance. In recent years, graph representation learning has become a popular research topic. It involves the embedding of graphs into a low-dimensional space while preserving the structural and attribute information of the graph, enabling better feature extraction for downstream tasks. This study extensively reviews representation learning advancements, particularly in the research of representation methods since the emergence of COVID-19. We begin with an analysis and classification of neural-network-based language model representation learning techniques as well as graph representation learning methods. Subsequently, we explore their methodological innovations in the context of COVID-19, with a focus on the domains of drugs, public health, and healthcare. Furthermore, we discuss the challenges and opportunities associated with graph representation learning. This comprehensive review presents invaluable insights for researchers as it documents the development of COVID-19 and offers experiential lessons to preempt future infectious diseases. Moreover, this study provides guidance regarding future bioinformatics and biomedicine research methodologies.
{"title":"Advances in the Development of Representation Learning and Its Innovations against COVID-19","authors":"Peng Li, Mosharaf Md Parvej, Chenghao Zhang, Shufang Guo, Jing Zhang","doi":"10.3390/covid3090096","DOIUrl":"https://doi.org/10.3390/covid3090096","url":null,"abstract":"In bioinformatics research, traditional machine-learning methods have demonstrated efficacy in addressing Euclidean data. However, real-world data often encompass non-Euclidean forms, such as graph data, which contain intricate structural patterns or high-order relationships that elude conventional machine-learning approaches. Representation learning seeks to derive valuable data representations from enhancing predictive or analytic tasks, capturing vital patterns and structures. This method has proven particularly beneficial in bioinformatics and biomedicine, as it effectively handles high-dimensional and sparse data, detects complex biological patterns, and optimizes predictive performance. In recent years, graph representation learning has become a popular research topic. It involves the embedding of graphs into a low-dimensional space while preserving the structural and attribute information of the graph, enabling better feature extraction for downstream tasks. This study extensively reviews representation learning advancements, particularly in the research of representation methods since the emergence of COVID-19. We begin with an analysis and classification of neural-network-based language model representation learning techniques as well as graph representation learning methods. Subsequently, we explore their methodological innovations in the context of COVID-19, with a focus on the domains of drugs, public health, and healthcare. Furthermore, we discuss the challenges and opportunities associated with graph representation learning. This comprehensive review presents invaluable insights for researchers as it documents the development of COVID-19 and offers experiential lessons to preempt future infectious diseases. Moreover, this study provides guidance regarding future bioinformatics and biomedicine research methodologies.","PeriodicalId":72714,"journal":{"name":"COVID","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135739737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jelger Louwsma, Bas Langeveld, Jacqueline M. Luyendijk, H. V. D. van den Oever
The value of D-dimer assessments in ICU patients with COVID-19 for the prediction of pulmonary embolism (PE) is unclear. The present study had two purposes: 1. To assess the specificity of elevated absolute D-dimer values for PE on admission to the ICU. 2. To assess the specificity of a D-dimer increment for the development of PE during an ICU stay. D-dimer values were paired with the results of a CT pulmonary angiogram (CTPA) and compared in patients with and without PE on admission. In patients without PE on initial imaging and available repeat CTPA during an ICU stay, D-dimer increments between initial and repeat imaging of patients developing PE during an ICU stay were compared with those with persistently no PE. On admission, D-dimers in patients with PE were higher than those in patients without PE (median 850 vs. 6060 μg/L; p < 0.0001). Using a cut-off of 9000 μg/L, the specificity for predicting PE was 100% (CI 95.3–100%). Delta D-dimer during an ICU stay was greater in patients with PE (median 7983 vs. 3815 μg/L; p < 0.005). Using a cut-off of 8000 μg/L, specificity was 100% (CI 79.4–100%). Strongly elevated D-dimer values on admission and marked increases in D-dimer during ICU stays have a high specificity for predicting pulmonary embolism in critically ill COVID-19 patients.
{"title":"D-Dimer Assessment to Predict Pulmonary Embolism in ICU Patients with COVID-19 Pneumonia","authors":"Jelger Louwsma, Bas Langeveld, Jacqueline M. Luyendijk, H. V. D. van den Oever","doi":"10.3390/covid3090095","DOIUrl":"https://doi.org/10.3390/covid3090095","url":null,"abstract":"The value of D-dimer assessments in ICU patients with COVID-19 for the prediction of pulmonary embolism (PE) is unclear. The present study had two purposes: 1. To assess the specificity of elevated absolute D-dimer values for PE on admission to the ICU. 2. To assess the specificity of a D-dimer increment for the development of PE during an ICU stay. D-dimer values were paired with the results of a CT pulmonary angiogram (CTPA) and compared in patients with and without PE on admission. In patients without PE on initial imaging and available repeat CTPA during an ICU stay, D-dimer increments between initial and repeat imaging of patients developing PE during an ICU stay were compared with those with persistently no PE. On admission, D-dimers in patients with PE were higher than those in patients without PE (median 850 vs. 6060 μg/L; p < 0.0001). Using a cut-off of 9000 μg/L, the specificity for predicting PE was 100% (CI 95.3–100%). Delta D-dimer during an ICU stay was greater in patients with PE (median 7983 vs. 3815 μg/L; p < 0.005). Using a cut-off of 8000 μg/L, specificity was 100% (CI 79.4–100%). Strongly elevated D-dimer values on admission and marked increases in D-dimer during ICU stays have a high specificity for predicting pulmonary embolism in critically ill COVID-19 patients.","PeriodicalId":72714,"journal":{"name":"COVID","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44556223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gayani Krishanthi, H. Jayetileke, Jinran Wu, Chanjuan Liu, You-Gan Wang
The utilization of gene selection techniques is crucial when dealing with extensive datasets containing limited cases and numerous genes, as they enhance the learning processes and improve overall outcomes. In this research, we introduce a hybrid method that combines the binary reptile search algorithm (BRSA) with the LASSO regression method to effectively filter and reduce the dimensionality of a gene expression dataset. Our primary objective was to pinpoint genes associated with COVID-19 by examining the GSE149273 dataset, which focuses on respiratory viral (RV) infections in individuals with asthma. This dataset suggested a potential increase in ACE2 expression, a critical receptor for the SARS-CoV-2 virus, along with the activation of cytokine pathways linked to COVID-19. Our proposed BRSA method successfully identified six significant genes, including ACE2, IFIT5, and TRIM14, that are closely related to COVID-19, achieving an impressive maximum classification accuracy of 87.22%. By conducting a comparative analysis against four existing binary feature selection algorithms, we demonstrated the effectiveness of our hybrid approach in reducing the dimensionality of features, while maintaining a high classification accuracy. As a result, our hybrid approach shows great promise for identifying COVID-19-related genes and could be an invaluable tool for other studies dealing with very large gene expression datasets.
{"title":"Enhancing Feature Selection Optimization for COVID-19 Microarray Data","authors":"Gayani Krishanthi, H. Jayetileke, Jinran Wu, Chanjuan Liu, You-Gan Wang","doi":"10.3390/covid3090093","DOIUrl":"https://doi.org/10.3390/covid3090093","url":null,"abstract":"The utilization of gene selection techniques is crucial when dealing with extensive datasets containing limited cases and numerous genes, as they enhance the learning processes and improve overall outcomes. In this research, we introduce a hybrid method that combines the binary reptile search algorithm (BRSA) with the LASSO regression method to effectively filter and reduce the dimensionality of a gene expression dataset. Our primary objective was to pinpoint genes associated with COVID-19 by examining the GSE149273 dataset, which focuses on respiratory viral (RV) infections in individuals with asthma. This dataset suggested a potential increase in ACE2 expression, a critical receptor for the SARS-CoV-2 virus, along with the activation of cytokine pathways linked to COVID-19. Our proposed BRSA method successfully identified six significant genes, including ACE2, IFIT5, and TRIM14, that are closely related to COVID-19, achieving an impressive maximum classification accuracy of 87.22%. By conducting a comparative analysis against four existing binary feature selection algorithms, we demonstrated the effectiveness of our hybrid approach in reducing the dimensionality of features, while maintaining a high classification accuracy. As a result, our hybrid approach shows great promise for identifying COVID-19-related genes and could be an invaluable tool for other studies dealing with very large gene expression datasets.","PeriodicalId":72714,"journal":{"name":"COVID","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44934518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper highlights curriculum and policy reforms and innovations in a Higher Education (HE) institution in response to undergraduate student perspectives about the phenomenon of the COVID-19 restrictions imposed by the New Zealand government (2020–2022). The advent of the coronavirus pandemic precipitated unexpected and unprecedented changes in HE learning and in the pedagogy required for undergraduate students. Consequently, HE institutions have had to be agile, resulting in ‘emergency’ adaptations to curriculum practice and policy implementation. This paper discusses triggers for change, reactions to restrictions, strategic measures, and the emergence of a ‘new normal’ from an undergraduate student perspective. Local and global concerns about student participation in undergraduate study (in Sport and Recreation), sport, and physical activity during restricted periods prompted the researchers to investigate the challenges these young people faced. Student voice was collected through semi-structured interviews and focus groups, collected post lockdown periods. Research findings, elicited from lecturers using a collaborative auto-ethnographical method, along with interpretative analysis (hermeneutic phenomenology) of students’ perspectives about the four pillars of lifestyle, active lives, learning, and livelihood provide insights about the impact of unexpected curriculum and policy change for HE students in New Zealand. This research provides real-time data to inform recommendations on policy and practice in HE institutions, to enhance student wellbeing in times of crises, like the COVID-19 pandemic.
{"title":"Sport and Recreation Undergraduate Students’ Perspectives on Disruption of Lifestyle, Active Lives, Learning, and Livelihood during Pandemic Times","authors":"Kath Godber, Denise Robyn Atkins","doi":"10.3390/covid3090094","DOIUrl":"https://doi.org/10.3390/covid3090094","url":null,"abstract":"This paper highlights curriculum and policy reforms and innovations in a Higher Education (HE) institution in response to undergraduate student perspectives about the phenomenon of the COVID-19 restrictions imposed by the New Zealand government (2020–2022). The advent of the coronavirus pandemic precipitated unexpected and unprecedented changes in HE learning and in the pedagogy required for undergraduate students. Consequently, HE institutions have had to be agile, resulting in ‘emergency’ adaptations to curriculum practice and policy implementation. This paper discusses triggers for change, reactions to restrictions, strategic measures, and the emergence of a ‘new normal’ from an undergraduate student perspective. Local and global concerns about student participation in undergraduate study (in Sport and Recreation), sport, and physical activity during restricted periods prompted the researchers to investigate the challenges these young people faced. Student voice was collected through semi-structured interviews and focus groups, collected post lockdown periods. Research findings, elicited from lecturers using a collaborative auto-ethnographical method, along with interpretative analysis (hermeneutic phenomenology) of students’ perspectives about the four pillars of lifestyle, active lives, learning, and livelihood provide insights about the impact of unexpected curriculum and policy change for HE students in New Zealand. This research provides real-time data to inform recommendations on policy and practice in HE institutions, to enhance student wellbeing in times of crises, like the COVID-19 pandemic.","PeriodicalId":72714,"journal":{"name":"COVID","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41365190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Hopulele-Petri, M. Fadgyas-Stănculete, Mirela Manea
Pandemic restrictions and reduced social opportunities led to increased loneliness in affected countries. Considering that stressful situations activate the attachment system and engage various coping strategies, the present study explored the role of attachment dimensions and coping styles in perceived social isolation and the subsequent effect on emotional distress. Data were collected using an online survey between the third and fourth waves in Romania during the second year of the pandemic. Correlational analyses presented significant relationships between all variables measured. Regression analysis showed that attachment insecurity could predict up to half of the variance in loneliness and one-third of emotional distress. Coping styles that predicted both loneliness and emotional distress were problem-focused and socially supported coping, though the effect was minimal. Emotion-focused coping presented a protective role against loneliness. Finally, mediation analysis revealed how loneliness fully mediated the relationship between insecure attachment styles and emotional distress. Further implications for research on loneliness and pandemic resilience are discussed.
{"title":"Attachment and Coping in the Second Pandemic Year: The Impact on Loneliness and Emotional Distress","authors":"A. Hopulele-Petri, M. Fadgyas-Stănculete, Mirela Manea","doi":"10.3390/covid3090092","DOIUrl":"https://doi.org/10.3390/covid3090092","url":null,"abstract":"Pandemic restrictions and reduced social opportunities led to increased loneliness in affected countries. Considering that stressful situations activate the attachment system and engage various coping strategies, the present study explored the role of attachment dimensions and coping styles in perceived social isolation and the subsequent effect on emotional distress. Data were collected using an online survey between the third and fourth waves in Romania during the second year of the pandemic. Correlational analyses presented significant relationships between all variables measured. Regression analysis showed that attachment insecurity could predict up to half of the variance in loneliness and one-third of emotional distress. Coping styles that predicted both loneliness and emotional distress were problem-focused and socially supported coping, though the effect was minimal. Emotion-focused coping presented a protective role against loneliness. Finally, mediation analysis revealed how loneliness fully mediated the relationship between insecure attachment styles and emotional distress. Further implications for research on loneliness and pandemic resilience are discussed.","PeriodicalId":72714,"journal":{"name":"COVID","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49262144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Introduction: With changes in treatments, precautions, and the virus itself, the continued evaluation of post-COVID-19 patient rehabilitation needs is essential. Methods: Demographics, comorbidities, functional assessments, quality of life, and rehabilitation outcomes for 98 patients admitted to inpatient rehabilitation during New York’s most recent major COVID-19 hospitalization surge were analyzed. Patients were contacted at 6 months to evaluate functional improvement, post-COVID-19 symptoms, vaccination status, and quality of life. Results: Inpatient rehabilitation addressed significant limitations in lung capacity, mobility, and self-care. Median mobility scores improved significantly from admission (16) to discharge (34) and follow-up (42). Sixty-six percent of patients reported overall quality of life improvement during their rehabilitation stay; at follow-up, a more modest percentage (35%) reported additional gains. Continued improvement in supplemental oxygen use was observed in 49% of patients who completed the follow-up assessment. Consistent with previous studies on severe disease, post-COVID-19 condition features were exhibited by 86% of patients at follow-up; vaccinated individuals displayed fewer symptoms associated with post-COVID-19 condition than their unvaccinated counterparts. Conclusions: Individuals recovering from severe COVID-19, including previously ventilated patients, made significant functional and quality of life gains during inpatient rehabilitation. While functional independence continued to improve post-discharge, patients exhibited greater improvement from admission to discharge than from discharge to 6-month follow-up. Inpatient rehabilitation represents a crucial component for recovery from severe COVID-19.
{"title":"Functional Recovery of COVID-19 Patients Admitted to a Cardiopulmonary Inpatient Rehabilitation Unit","authors":"Amy Comley Steele, H. McKenna, Amy Teale","doi":"10.3390/covid3090091","DOIUrl":"https://doi.org/10.3390/covid3090091","url":null,"abstract":"Introduction: With changes in treatments, precautions, and the virus itself, the continued evaluation of post-COVID-19 patient rehabilitation needs is essential. Methods: Demographics, comorbidities, functional assessments, quality of life, and rehabilitation outcomes for 98 patients admitted to inpatient rehabilitation during New York’s most recent major COVID-19 hospitalization surge were analyzed. Patients were contacted at 6 months to evaluate functional improvement, post-COVID-19 symptoms, vaccination status, and quality of life. Results: Inpatient rehabilitation addressed significant limitations in lung capacity, mobility, and self-care. Median mobility scores improved significantly from admission (16) to discharge (34) and follow-up (42). Sixty-six percent of patients reported overall quality of life improvement during their rehabilitation stay; at follow-up, a more modest percentage (35%) reported additional gains. Continued improvement in supplemental oxygen use was observed in 49% of patients who completed the follow-up assessment. Consistent with previous studies on severe disease, post-COVID-19 condition features were exhibited by 86% of patients at follow-up; vaccinated individuals displayed fewer symptoms associated with post-COVID-19 condition than their unvaccinated counterparts. Conclusions: Individuals recovering from severe COVID-19, including previously ventilated patients, made significant functional and quality of life gains during inpatient rehabilitation. While functional independence continued to improve post-discharge, patients exhibited greater improvement from admission to discharge than from discharge to 6-month follow-up. Inpatient rehabilitation represents a crucial component for recovery from severe COVID-19.","PeriodicalId":72714,"journal":{"name":"COVID","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43317453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Williams, Devin J. Kennedy, Michael E. Hoffer, J. M. Carreño, F. Krammer, S. Pallikkuth, S. Pahwa
False positive reactive plasmin reagin (RPR) reactivity following a COVID-19 vaccine has been reported, and it is therefore conceivable that individuals who receive frequent coronavirus disease 2019 (COVID-19) vaccinations may exhibit durable RPR responses. Here, we sought to investigate the extent to which repeated mRNA COVID-19 vaccines can elicit chronic false RPR reactivity in a longitudinal cohort. Participants (n = 119) in an IRB-approved (#20201026), longitudinal SARS-CoV-2 cohort study were screened for RPR reactivity via manual RPR card assays. Samples with reactive results underwent additional testing, including follow-on RPR screening at additional timepoints, confirmatory fluorescent treponemal antibody (FTA-ABS) testing and anti-nuclear antibody (ANA) testing. Medical histories were collected. We observed (n = 2) screen-positive RPR results (1.7% [2/119]) following booster vaccination, for which two individuals exhibited chronic, vaccine-induced RPR reactivity for up to 9 months following booster vaccination. Both participants were ANA-negative. It is imperative for clinicians to be mindful of the potential immunologic interference of COVID-19 vaccines with standard infectious disease assays, including RPR testing. Detailed medical histories and clinical contexts, including recent vaccination, should be reviewed prior to proceeding with distressing and invasive workups.
{"title":"Chronic False Positive Rapid Plasma Reagin (RPR) Tests Induced by COVID-19 Vaccination","authors":"E. Williams, Devin J. Kennedy, Michael E. Hoffer, J. M. Carreño, F. Krammer, S. Pallikkuth, S. Pahwa","doi":"10.3390/covid3090090","DOIUrl":"https://doi.org/10.3390/covid3090090","url":null,"abstract":"False positive reactive plasmin reagin (RPR) reactivity following a COVID-19 vaccine has been reported, and it is therefore conceivable that individuals who receive frequent coronavirus disease 2019 (COVID-19) vaccinations may exhibit durable RPR responses. Here, we sought to investigate the extent to which repeated mRNA COVID-19 vaccines can elicit chronic false RPR reactivity in a longitudinal cohort. Participants (n = 119) in an IRB-approved (#20201026), longitudinal SARS-CoV-2 cohort study were screened for RPR reactivity via manual RPR card assays. Samples with reactive results underwent additional testing, including follow-on RPR screening at additional timepoints, confirmatory fluorescent treponemal antibody (FTA-ABS) testing and anti-nuclear antibody (ANA) testing. Medical histories were collected. We observed (n = 2) screen-positive RPR results (1.7% [2/119]) following booster vaccination, for which two individuals exhibited chronic, vaccine-induced RPR reactivity for up to 9 months following booster vaccination. Both participants were ANA-negative. It is imperative for clinicians to be mindful of the potential immunologic interference of COVID-19 vaccines with standard infectious disease assays, including RPR testing. Detailed medical histories and clinical contexts, including recent vaccination, should be reviewed prior to proceeding with distressing and invasive workups.","PeriodicalId":72714,"journal":{"name":"COVID","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45885616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The emergence of novel pathogens is a well-known epidemiological risk; however, the unexpected emergence of a truly novel coronavirus-mediated pandemic due to SARS-CoV-2 underscored the significance of understanding this contagion. The pandemic, due to novel coronavirus, termed COVID-19, caused unprecedented social, economic, and educational disruptions on a scale never seen before. In addition to social protocols, safe, effective, and affordable vaccines were developed within months, the cornerstone of the mitigation of this pandemic. We present an overview of the evolution of the pandemic from a historical perspective and describe its biology and behavior, especially the immunological aspects of the disease. We further provide an overview of therapeutics, treatment, and vaccine development to mitigate SARS-CoV-2. It is critical to understand the transmission mechanism of the disease to control and mitigate its progression. We describe cohort studies to identify secondary and tertiary syndromes. The transmission characteristics help its diagnosis and detection. During the pandemic, a lot of emphasis was placed on personal protection equipment. It is now concluded that the virus particles are spread by aerosol dispersion. While the recommended distance may not have been sufficient, the use of personal protective equipment and social distancing was helpful in close-quarters environments. Such protocols, in conjunction with safe and effective vaccines and personal hygiene, are among the safe practices. While we learn from our experience, this review provides a holistic overview of the pandemic and encapsulates the event in a historical context. In doing so, we hope to understand the SARS-CoV-2 virus and take sufficient precautionary measures to mitigate consequences during any subsequent similar pandemics. In addition to a wide-spectrum automated analytics system introduced by the authors earlier, we propose the use of artificial intelligence in conjunction with data analytics to minimize the risk of speculatively diagnosing agents incorrectly by employing a novel concept of cloud-based presumptive diagnosis.
{"title":"Biology and Behavior of Severe Acute Respiratory Syndrome Coronavirus Contagion with Emphasis on Treatment Strategies, Risk Assessment, and Resilience","authors":"James Baldwin, Samina Noorali, Ashok Vaseashta","doi":"10.3390/covid3090089","DOIUrl":"https://doi.org/10.3390/covid3090089","url":null,"abstract":"The emergence of novel pathogens is a well-known epidemiological risk; however, the unexpected emergence of a truly novel coronavirus-mediated pandemic due to SARS-CoV-2 underscored the significance of understanding this contagion. The pandemic, due to novel coronavirus, termed COVID-19, caused unprecedented social, economic, and educational disruptions on a scale never seen before. In addition to social protocols, safe, effective, and affordable vaccines were developed within months, the cornerstone of the mitigation of this pandemic. We present an overview of the evolution of the pandemic from a historical perspective and describe its biology and behavior, especially the immunological aspects of the disease. We further provide an overview of therapeutics, treatment, and vaccine development to mitigate SARS-CoV-2. It is critical to understand the transmission mechanism of the disease to control and mitigate its progression. We describe cohort studies to identify secondary and tertiary syndromes. The transmission characteristics help its diagnosis and detection. During the pandemic, a lot of emphasis was placed on personal protection equipment. It is now concluded that the virus particles are spread by aerosol dispersion. While the recommended distance may not have been sufficient, the use of personal protective equipment and social distancing was helpful in close-quarters environments. Such protocols, in conjunction with safe and effective vaccines and personal hygiene, are among the safe practices. While we learn from our experience, this review provides a holistic overview of the pandemic and encapsulates the event in a historical context. In doing so, we hope to understand the SARS-CoV-2 virus and take sufficient precautionary measures to mitigate consequences during any subsequent similar pandemics. In addition to a wide-spectrum automated analytics system introduced by the authors earlier, we propose the use of artificial intelligence in conjunction with data analytics to minimize the risk of speculatively diagnosing agents incorrectly by employing a novel concept of cloud-based presumptive diagnosis.","PeriodicalId":72714,"journal":{"name":"COVID","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43470618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：