Tangerine (Citrus reticulata L.) Wastes: Chemistry, Properties and Applications

Horticultural crops, especially fruits and vegetables, are highly consumed as food and food products. These items are consumed either uncooked, partially cooked, or fully cooked, according to their nature and the cooking process. A large amount of waste is generated from fruit-and vegetable-based industries and household kitchens. According to the FAO, waste generated from fruits and vegetable processing is estimated by 25–30% of the total product. This waste is rich in active compounds and has high nutritional content. Utilization of this waste into beneficial by-products could represent an essential strategy for reducing significant dietary and economic loss as well as the negative environmental impacts. The most common wastes include pomace, peels, rind, and seeds are fabulously rich in valuable bioactive compounds such as carotenoids, enzymes, phenolics, essential oils, vitamins, and many other compounds. These bioactive compounds show their application in various industries, including food industries to develop edible films, health industries for probiotics, and other industries for valuable and natural products. The utilization of these low-cost waste for producing the high value-added product is a novel step in its sustainable utilization. Tangerine is commonly produced and consumed as fresh or processed worldwide. The Mediterranean area produces the best and high-quality tangerine in the world. It is a high vitamin C source and rich in nutrients and provides many medicinal and health benefits. According to the new information released by the FAO, considering the influences of the novel coronavirus (COVID-19), populations with extreme starvation in the world will perhaps increase. Consequently, countries should gain proficiencies and try to reduce trade-related costs, for example, by reducing food waste and losses. Therefore, the present chapter intends to summarize the different types of waste originating from Tangerine (Citrus reticula L.) and highlight their potential in developing edible films, probiotics, nanoparticles, carbon dots, microbial media, biochar, and biosorbents. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

Cognitively Enhanced Versions of Capuchin Search Algorithm for Feature Selection in Medical Diagnosis: a COVID-19 Case Study.

Feature selection (FS) is a crucial area of cognitive computation that demands further studies. It has recently received a lot of attention from researchers working in machine learning and data mining. It is broadly employed in many different applications. Many enhanced strategies have been created for FS methods in cognitive computation to boost the performance of the methods. The goal of this paper is to present three adaptive versions of the capuchin search algorithm (CSA) that each features a better search ability than the parent CSA. These versions are used to select optimal feature subset based on a binary version of each adapted one and the k-Nearest Neighbor (k-NN) classifier. These versions were matured by applying several strategies, including automated control of inertia weight, acceleration coefficients, and other computational factors, to ameliorate search potency and convergence speed of CSA. In the velocity model of CSA, some growth computational functions, known as exponential, power, and S-shaped functions, were adopted to evolve three versions of CSA, referred to as exponential CSA (ECSA), power CSA (PCSA), and S-shaped CSA (SCSA), respectively. The results of the proposed FS methods on 24 benchmark datasets with different dimensions from various repositories were compared with other k-NN based FS methods from the literature. The results revealed that the proposed methods significantly outperformed the performance of CSA and other well-established FS methods in several relevant criteria. In particular, among the 24 datasets considered, the proposed binary ECSA, which yielded the best overall results among all other proposed versions, is able to excel the others in 18 datasets in terms of classification accuracy, 13 datasets in terms of specificity, 10 datasets in terms of sensitivity, and 14 datasets in terms of fitness values. Simply put, the results on 15, 9, and 5 datasets out of the 24 datasets studied showed that the performance levels of the binary ECSA, PCSA, and SCSA are over 90% in respect of specificity, sensitivity, and accuracy measures, respectively. The thorough results via different comparisons divulge the efficiency of the proposed methods in widening the classification accuracy compared to other methods, ensuring the ability of the proposed methods in exploring the feature space and selecting the most useful features for classification studies.

Muslim preachers' pandemics related discourses within social media: A corpus-based critical discourse analysis

Pandemics have been extensively represented in different discourse genres including journalistic discourse, media discourse, medical discourse, social media discourse, and academic discourse. This study explores the representation of COVID-19, Swine flu, and Monkey pox in the Arab Muslim preachers' discourses on Twitter and Facebook. The Muslim preachers' discourses remain one of the influential discourses that informs the ideology of its believers, as it is largely based on the Islamic authoritative discourses of the Quran and the Hadiths of Prophet Muhammad. The data set of 538 postings was generated through an extended observation of purposively recruited Arab Muslim non-mainstream scholars' postings on Facebook and Twitter from March 2019 to August 2022. The data were analyzed using corpus-based critical discourse analysis. The twofold analytical lens involving CL and CDA revealed that Muslim preachers frequently used ideological semantic patterns in communicating to the Muslim society at large regarding the pandemics. The utilized semantic patterns emerged as embedded in certain ideological frames established in the Islamic authoritative discourses of the Quran and the Hadiths of Prophet Muhammad. In their ideological representation of the pandemics, Muslim preachers framed the entire three pandemics mostly as the wrath of God. Religious scholars' postings cannot be considered an account of teaching and preaching;rather, they merely consume and produce Islamic ideology in a way to manipulate and influence Muslims' knowledge of existing reality by adding new meanings in line with the chosen ideological frames.

Bariatric surgery provision in response to the COVID-19 pandemic: retrospective cohort study of a national registry.

BACKGROUND: When surgery resumed following the outbreak of the COVID-19 pandemic, guidelines recommended the prioritization of patients with greater obesity-related co-morbidities and/or higher body mass index. OBJECTIVE: The aim of this study was to record the effect of the pandemic on total number, patient demographics, and perioperative outcomes of elective bariatric surgery patients in the United Kingdom. SETTING AND METHODS: The United Kingdom National Bariatric Surgical Registry was used to identify patients who underwent elective bariatric surgery during the pandemic (1 yr from April 1, 2020). Characteristics of this group were compared with those of a pre-pandemic cohort. Primary outcomes were case volume, case mix, and providers. National Health Service cases were analyzed for baseline health status and perioperative outcomes. Fisher exact, χ2, and Student t tests were used as appropriate. RESULTS: The total number of cases decreased to one third of pre-pandemic volume (8615 to 2930). The decrease in operating volume varied, with 36 hospitals (45%) experiencing a 75%-100% reduction. Cases performed in the National Health Service fell from 74% to 53% (P < .0001). There was no change in baseline body mass index (45.2 ± 8.3 kg/m2 from 45.5 ± 8.3 kg/m2; P = .23) or prevalence of type 2 diabetes (26% from 26%; P = .99). Length of stay (median 2 d) and surgical complication rate (1.4% from 2.0%; relative risk = .71; 95% CI .45-1.12; P = .13) were unchanged. CONCLUSIONS: In the context of a dramatic reduction in elective bariatric surgery due to the COVID-19 pandemic, patients with more severe co-morbidities were not prioritized for surgery. These findings should inform preparation for future crises.

CRISPR-Cas13a-powered electrochemical biosensor for the detection of the L452R mutation in clinical samples of SARS-CoV-2 variants.

Since the end of 2019, a highly contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has deprived numerous lives worldwide, called COVID-19. Up to date, omicron is the latest variant of concern, and BA.5 is replacing the BA.2 variant to become the main subtype rampaging worldwide. These subtypes harbor an L452R mutation, which increases their transmissibility among vaccinated people. Current methods for identifying SARS-CoV-2 variants are mainly based on polymerase chain reaction (PCR) followed by gene sequencing, making time-consuming processes and expensive instrumentation indispensable. In this study, we developed a rapid and ultrasensitive electrochemical biosensor to achieve the goals of high sensitivity, the ability of distinguishing the variants, and the direct detection of RNAs from viruses simultaneously. We used electrodes made of MXene-AuNP (gold nanoparticle) composites for improved sensitivity and the CRISPR/Cas13a system for high specificity in detecting the single-base L452R mutation in RNAs and clinical samples. Our biosensor will be an excellent supplement to the RT-qPCR method enabling the early diagnosis and quick distinguishment of SARS-CoV-2 Omicron BA.5 and BA.2 variants and more potential variants that might arise in the future.

A Prediction System Using AI Techniques to Predict Students' Learning Difficulties Using LMS for Sustainable Development at KFU

With the emergence of the covid 19 pandemic, E-learning usage was the only way to solve the problem of study interruption in educational institutions and universities. Therefore, this field reserved significant attention in current times. In this paper, we used ten Machine Learning (ML) algorithms: Decision Tree(DT), Random Forest(RF), Logistic Regression(LR), SGD Classifier, Multinomial NB, K- Nearest Neighbors Classifier(KNN), Ridge Classifier, Nearest Centroid, Complement NB and Bernoulli NB) to build a prediction system based on artificial intelligence techniques to predict the difficulties students face in using the e-learning management system, to support related decision-making. Which, in turn, contributes supporting the sustainable development of technology at the university. From the results obtained, we detect the important factors that affect the use of E-learning to solve students' learning difficulties using LMS by building a prediction system based on AI techniques. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Vaccination with >2 Doses of Mrna Vaccines is Needed to Reduce Mortality Among Lung Transplant Recipients with Covid-19

Vaccination reduces COVID-19-related morbidity and mortality in the general population, however, the response to vaccination is attenuated among immunosuppressed lung transplant recipients (LTR). Boyarski et al noted that 61% of LTR had no serologic response to the first or second dose of mRNA vaccines, with an additional 31% only responding to the second dose. We sought to compare the impact of vaccination status on COVID-19-related morbidity and mortality in LTR. We conducted a retrospective chart review of LTR with COVID-19 that did not receive Tixagevimab-Cilgavimab (Tix-Cil) prophylaxis. We compared outcomes based on vaccination status using chi-square and binomial exact tests. Between March 2020 and August 2022, 195 LTR developed COVID-19, 24 received Tix-Cil and were excluded from the analysis. The median age was 66.6 (58.8-71.9), 100 (58.5%) were male, 166 (97.1%) had a bilateral lung transplant, 91 (53.2%) had diabetes, 55 (32.2%) were obese, and 126 (73.7%) had chronic kidney disease with an eGFR <60. The most common immunosuppressive regimen included mycophenolate mofetil, tacrolimus, and prednisone (124 (72.5%)). The median percent predicted FEV1 was 78% (IQR 62, 94) and the median time from LT to COVID-19 diagnosis was 38.3 months (IQR 20.3, 66.9). LTR with COVID-19 that received at least 2 doses of the mRNA vaccines were less likely to be hospitalized compared to their unvaccinated counterparts. However, 2 vaccine doses alone did not reduce ICU admission, intubation, or mortality. LTR with COVID-19 that received >2 vaccines were less likely to be hospitalized, admitted to the ICU, or intubated, and had a lower mortality. Two doses of mRNA vaccines reduced COVID-19-related hospitalization among LTR with COVID-19;additional vaccine doses were needed to reduce risk of ICU admission, intubation, and death. [ABSTRACT FROM AUTHOR] Copyright of Journal of Heart & Lung Transplantation is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Pre-Exposure Prophylaxis with Tixagevimab-Cilgavimab May Not Reduce Covid-19 Severity Among Lung Transplant Recipients That Develop Breakthrough Infection

Tixagevimab-cilgavimab (Tix-Cil) is a long-acting monoclonal antibody combination granted Emergency Use Authorization approval for COVID-19 pre-exposure prophylaxis (PrEP) in immunocompromised patients, due to their suboptimal response to vaccination. We sought to determine whether Tix-Cil reduces COVID-19 severity among lung transplant recipients (LTRs) who develop breakthrough infection. After IRB approval, we conducted a retrospective chart review of LTRs who developed COVID-19 during the Omicron surge (December 2021 to August 2022). We performed comparative analyses using Fisher's exact test and logistic regression to control for vaccination and other monoclonal antibodies. A total of 89 LTRs with COVID-19 were included. The median time from LT to COVID-19 diagnosis was 38.3 months (IQR 20.3, 66.9). The median age was 67.4 years (59.5-72.4), 49 (55.1%) were male, 87 (97.8%) had undergone bilateral LT, 48 (53.9%) had diabetes, 25 (28.0%) were obese (body mass index ≥30 kg/m2), and 67 (75.3%) had chronic kidney disease (eGFR <60 mL/min/1.73m2). The most common immunosuppressive regimen included mycophenolate mofetil, tacrolimus, and prednisone (64;71.9%), and the median percent predicted FEV1 was 87% (IQR 64.5, 99.5). The overwhelming majority of patients received at least 2 doses of an mRNA vaccine (84 (94.3%)) and 60 (67.4%) were treated with monoclonal antibodies, 51 (57.3%) with antivirals, and 82 (92.1%) with increased corticosteroids upon COVID-19 diagnosis. Despite Tix-Cil prophylaxis, 24 LTRs contracted COVID-19 during the Omicron surge. The median time from Tix-Cil to COVID-19 diagnosis was 90.5 days (60.3, 119.0). PrEP with Tix-Cil did not reduce hospitalization, ICU admission, need for mechanical ventilation or death among LTRs. Pre-exposure prophylaxis with Tix-Cil may not reduce COVID-19 severity among LTRs that develop breakthrough infection. [ABSTRACT FROM AUTHOR] Copyright of Journal of Heart & Lung Transplantation is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Covid-19 is Less Severe with the Omicron Variant Compared to Prior Variants and the Original Sars-Cov-2 Strain in Lung Transplant Recipients

Multiple variants of SARS-CoV-2 have been documented throughout the COVID-19 pandemic. Mutations that lead to these variants can affect viral spread, disease severity, and the efficacy of vaccines and therapeutics. Lung transplant (LT) recipients (LTRs) are at high risk of COVID-19-related morbidity and mortality;however, disease severity may differ between SARS-CoV-2 variants. We sought to describe the clinical outcomes of LTRs with COVID-19 at different stages of the pandemic. We performed a retrospective chart review of LTRs with COVID-19 and categorized them into 4 groups according to the prevalent variant on the date of the positive test. Chi-square and non-parametric binomial exact tests were used for comparative analyses. Since March 2020, 195 LTRs at our institute developed COVID-19;the median age was 66.6 years (58.7-72);114 (58.5%) were male;190 (97.4%) had received a bilateral LT;106 (54.4%) had diabetes;63 (32.3%) were obese;and 145 (74.4%) had chronic kidney disease with an eGFR <60. The most common immunosuppressive regimen included mycophenolate mofetil, tacrolimus, and prednisone (n=142;72.8%). The median percent predicted FEV1 was 81% (IQR 63-96) and the median time from LT to COVID-19 diagnosis was 37.3 months (IQR 18.5-66.7). Rates of hospitalization, ICU admission, need for mechanical ventilation, and death were significantly lower for the Omicron variant than the original strain, the Alpha variant, and the Delta variant. However, there was no difference in length of hospital stay, development of extrapulmonary end-organ dysfunction, or persistent drop in spirometric flows (Table 1). Lastly, the utilization of vaccination and monoclonal antibodies grew over time and likely contributed to reduced COVID-19 severity in the latter part of the pandemic. COVID-19 continues to drive morbidity and mortality among LTRs;however, the severity of disease is lower with the omicron variant. [ABSTRACT FROM AUTHOR] Copyright of Journal of Heart & Lung Transplantation is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Clinical Outcomes of Lung Transplant Recipients with Covid-19 That Received Pre-Exposure Prophylaxis with Tixagevimab-Cilgavimab: A Single Center Experience

Lung transplant recipients (LTRs) are at risk of significant morbidity and mortality due to COVID-19. The neutralizing antibody response to vaccination among LTRs is reduced, particularly in those treated with anti-proliferative agents. Tixagevimab-cilgavimab (Tix-Cil) is a SARS-CoV-2 spike protein-directed attachment inhibitor that is authorized under Emergency Use Authorization (EUA) to reduce the risk of COVID-19 in immunocompromised adults. We describe the clinical outcomes of LTRs who contracted COVID-19 despite Tix-Cil therapy. After IRB approval, we conducted a retrospective chart review and used descriptive statistics. Following EUA approval, 203 LTRs received Tix-Cil, and 24 (11.8%) subsequently contracted COVID-19. All 24 had undergone bilateral LT;14 (58.3%) were male;23 (95.8%) were vaccinated;and 23 (95.8%) were ≥6 months out from LT. The median age at COVID-19 diagnosis was 68.6 years, and most (75%) were on a standard 3-drug immunosuppressive regimen with tacrolimus, mycophenolate mofetil, and prednisone. The median time from Tix-Cil to COVID-19 diagnosis was 90.5 days (62.75-118.25). Five LTRs (20.8%) were hospitalized;3 (12.5%) required ICU level of care;and 2 (8.3%) were intubated. Two LTRs (8.3%) died;both were male, >70 years old, vaccinated, >2 years out from LT, and had co-morbidities. Both were treated with corticosteroids and tocilizumab;1 received anti-viral and monoclonal antibody therapy with remdesevir and sotrovimab, respectively. Both were critically ill, and 1 was intubated. LTRs that contracted COVID-19 despite pre-exposure prophylaxis with Tix-Cil had significant rates of hospitalization, critical illness, and mortality. More effective therapies are needed to reduce the risk of COVID-19 in this vulnerable patient population. [ABSTRACT FROM AUTHOR] Copyright of Journal of Heart & Lung Transplantation is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Guillain-Barré Syndrome after Mrna-1273 Covid-19 Vaccine Booster in an Immunosuppressed Double Lung Transplant Recipient

Guillain-Barré Syndrome (GBS) is an immune-mediated neurological disorder with an estimated incidence of 1 to 2 per 100,000 person-years. GBS is characterized by progressive and symmetric ascending muscle weakness, areflexia, sensory symptoms, and dysautonomia. Antecedent infection or vaccination may trigger GBS;however, there are few reports of GBS after either mRNA-1273 (Moderna) or mRNA-BNT-162b2 (Pfizer-BioNTech) COVID-19 vaccines (1.21 and 1.05 GBS reports per million doses, respectively). A 2021 analysis of the Vaccine Safety Datalink found no increased risk of GBS after vaccination with either of the vaccines. We report a case of GBS after a third dose of mRNA-1273 in a lung transplant recipient (LTxR). A 38-year-old LTxR on standard 3-drug immunosuppression presented to clinic complaining of back pain 2 weeks after receiving a third dose of mRNA-1273. His pain was treated with analgesics;however, a week later he presented to the Emergency Department (ED) with worsening back pain, myalgias, and lower extremity weakness. Neurology was consulted and he underwent an extensive work-up including screening serologies for vasculitis and myasthenia gravis and blood tests for B12, folate, and creatinine kinase (CK) levels. Viral and bacterial infections were ruled out. A spinal MRI showed no evidence of nerve root enhancement;a lumbar puncture revealed albuminocytologic dissociation with a high protein level of 113 mg/dL and cell count of 1/uL. Autoimmune and paraneoplastic panels as well as oligoclonal bands were negative. He was diagnosed with GBS and completed a 5-day IVIG course which led to transient symptomatic improvement. Four weeks later, he reported to the ED in a wheel chair after multiple falls and an inability to stand or walk. His neurological exam showed symmetric ascending weakness of lower extremities that was worse distally, reduced hand-grip strength, and areflexia. Electromyography showed evidence of acute inflammatory demyelinating polyneuropathy, confirming the GBS diagnosis. An additional 2-day IVIG course and intensive outpatient physical therapy led to neurologic improvement. Although current data does not suggest an increased risk of GBS after mRNA COVID-19 vaccines, GBS should be considered in LTxRs who develop symmetric motor and sensory deficits after vaccination. [ABSTRACT FROM AUTHOR] Copyright of Journal of Heart & Lung Transplantation is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Molnupiravir vs Remdesivir for Treatment of Covid-19 in Lung Transplant Recipients

Three SARS-CoV-2-directed anti-viral therapies are currently accessible in the United States: remdesivir (REM), molnupiravir (MOL), and nirmatrelvir+ritonavir. The latter has significant drug-drug interactions and is typically not used in lung transplant recipients (LTRs). We compared the efficacy between early REM and MOL treatment of LTRs with COVID-19. LTRs who contracted COVID-19 between 3/2020 and 8/2022 were identified. LTRs with COVID-19 that were well enough to remain outpatient were treated with either REM or MOL, depending on drug availability;REM became available in 10/2020 and MOL in 12/2021. The primary outcome was hospitalization and the secondary outcome was mortality. The analysis was adjusted for SARS-CoV-2 strain, vaccination status, pre-exposure prophylaxis with tixagevimab-cilgavimab, and COVID-19 therapies, eg, monoclonal antibodies and modification of anti-proliferative agent. Of 195 LTRs that developed COVID-19 during the study period, 54 were included and divided into groups: REM (n=25) or MOL (n=29). The baseline characteristics of the two groups were comparable (Table 1). On unadjusted analysis, LTRs treated with MOL were less likely to be hospitalized, admitted to the ICU, or to die from COVID-19;on adjusted analysis, only reduced likelihood of hospitalization remained statistically significant (p=0.035). One-year survival probability was comparable between the groups, but trended lower among LTRs treated with REM (REM: 64% vs MOL: 93.1%, p=0.081, Figure 1). LTRs with COVID-19 treated with MOL were less likely to be hospitalized due to COVID-19 than those treated with REM. [ABSTRACT FROM AUTHOR] Copyright of Journal of Heart & Lung Transplantation is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Sociobehavioural Factors Associated With Child Oral Health During COVID-19.

OBJECTIVES: The aim of this study was to identify the sociobehavioural factors that influenced children's oral health during the COVID-19 pandemic. METHODS: The online cross-sectional study was conducted in Al Jouf Province in the northern region of Saudi Arabia. A total of 960 parents of children aged 5 to 14 years were invited by multistage stratified random sampling. Descriptive, multinomial, and multiple logistic regression analyses were performed to estimate odds ratios and determine the relationship between independent and dependent variables. P < .05 was considered statistically significant. RESULTS: Of the 960 participants, 693 (72.1%) reported that their child had 1 or more untreated dental decay. The children of uneducated parents were 1.6-fold more likely to have 1 or more untreated dental decay (adjusted odds ratio [AOR], 1.66; 95% CI, 0.74-3.73; P < .001). The children of unemployed parents were 4.3-fold more likely to have a financial burden for a child dental visit (AOR, 4.34; 95% CI, 2.73-6.89; P < .001). Parents from a rural area were 26.3-fold more likely to have spent a lag period of over 2 years since their child's last dental visit (AOR, 26.34; 95% CI, 7.48-92.79; P < .001). Nursery-level children were 5.4-fold more likely to need immediate care (AOR, 5.38; 95% CI, 3.01-9.60; P < .001). CONCLUSIONS: The present study demonstrated a very high prevalence of 1 or more untreated dental decay in our cohort. Children of rural areas, uneducated, unemployed, widow/divorced, low- and middle-income parents and nursery school children were linked to poorly predictive outcomes of child oral health during the pandemic.

Comprehensive evaluation of six interventions for hospitalized patients with COVID-19: A propensity score matching study.

Purpose: The purpose of this study was to evaluate the effectiveness of either hydroxychloroquine, triple combination therapy (TCT), favipiravir, dexamethasone, remdesivir, or COVID-19 convalescent plasma (CCP) in comparison with standard-of-care for hospitalized patients with COVID-19 using real-world data from Saudi Arabia. Patients and methods: A secondary database analysis was conducted using the Saudi Ministry of Health database for patients with COVID-19. Adult (≥18 years) hospitalized patients with COVID-19 between March 2020 and January 2021 were included in the analysis. A propensity score matching technique was used to establish comparable groups for each therapeutic approach. Lastly, an independent t-test and chi-square test were used to compare the matching groups in the aspects of the duration of hospitalization, length of stay (LOS) in intensive care units (ICU), in-hospital mortality, and composite poor outcome. Multilevel logistic regression model was used to assess the association between the severity stage of COVID-19 and the outcomes while using the medication or intervention used as a grouping variable in the model. Results: The mean duration of hospitalization was significantly longer for patients who received TCT, favipiravir, dexamethasone, or CCP compared to patients who did not receive these therapies, with a mean difference ranging between 2.2 and 4.9 days for dexamethasone and CCP, respectively. Furthermore, the use of favipiravir or CCP was associated with a longer stay in ICU. Remdesivir was the only agent associated with in-hospital mortality benefit. A higher risk of mortality and poorer composite outcome were associated with the use of favipiravir or dexamethasone. However, the logistic regression model reveled that the difference between the two matched cohorts was due to the severity stage not the medication. Additionally, the use of hydroxychloroquine, TCT, or CCP had no impact on the incidence of in-hospital mortality or composite poor outcomes. Conclusion: Remdesivir was the only agent associated with in-hospital mortality benefit. The observed worsened treatment outcomes associated with the use of dexamethasone or FPV shall be attributed to the severity stage rather than the medication use. In light of these varied results, additional studies are needed to continue evaluating the actual benefits of these therapies.

Changing trends in ocular trauma during the COVID-19 pandemic in the USA.

BACKGROUND/AIMS: The COVID-19 pandemic has been associated with a decline in emergency department (ED) presentations for trauma. The purpose of this study is to compare the estimated number and characteristics of eye injuries in 2020, the year of the COVID-19 pandemic, to those in 2011-2019. METHODS: A stratified probability sample of US ED-treated eye injuries was used to calculate the estimated annual number and incidence of these injuries in 2020, the year of the pandemic, and 2011-2019 (prepandemic years). Two-sample t-tests and Pearson χ2 were used to assess differences in demographics and injury characteristics. For multiple comparisons, Bonferroni correction was applied. RESULTS: The estimated number of ED-treated eye injuries per year was 152 957 (95% CI 132 637 to 176 153) in 2020 and 194 142 (95% CI 191 566 to 196 401) in 2011-2019. The annual incidence of ED-treated eye injuries was lower in 2020, at 46 per 100 000 population than in 2011-2019, at 62 per 100 000 per year (p<0.001). In 2020 vs 2011-2019, there was a higher incidence of ruptured globes (0.5 per 100 000 vs 0.3 per 100 000 per year, p<0.001), hyphemas (0.6 per 100 000 vs 0.4 per 100 000 per year, p<0.001), lacerations (1.0 per 100 000 in 2020 vs 0.8 per 100 000 per year, p<0.001) and orbital fractures (0.3 per 100 000 vs 0.03). CONCLUSION: The estimated incidence of eye injuries presenting to the ED was significantly lower in 2020 than in 2011-2019, but there was a higher estimated incidence of severe eye injuries. Changes in living and work environments due to the COVID-19 pandemic were likely associated with the differences in ocular trauma presentations observed in this study.

MERS-CoV infection elicits long-lasting specific antibody, T and B cell immune responses in recovered individuals.

BACKGROUND: The Middle East respiratory syndrome coronavirus (MERS-CoV) is a highly pathogenic zoonotic betacoronaviruses and a global public health concern. Better undersetting of the immune responses to MERS-CoV is needed to characterize the correlates of protection and durability of the immunity and to aid in developing preventative and therapeutic interventions. While MERS-CoV-specific circulating antibodies could persist for several years post-recovery, their waning raises concerns about their durability and role in protection. Nonetheless, memory B and T cells could provide long-lasting protective immunity despite the serum antibodies levels. METHODS: Serological and flow cytometric analysis of MERS-CoV-specific immune responses were performed on samples collected from a cohort of recovered individuals who required intensive care unit (ICU) admission as well as hospital or home isolation several years after infection to characterize the longevity and quality of humoral and cellular immune responses. RESULTS: Our data showed that MERS-CoV infection could elicit robust long-lasting virus-specific binding and neutralizing antibodies as well as T and B cell responses up to 6.9 years post-infection regardless of disease severity or need for ICU admission. Apart from the persistent high antibody titers, this response was characterized by B cell subsets with antibody-independent functions as demonstrated by their ability to produce TNF-α, IL-6, and IFN-γ cytokines in response to antigen stimulation. Furthermore, virus-specific activation of memory CD8+ and CD4+ T cell subsets from MERS-recovered patients resulted in secretion of high levels of TNF-α, IL-17 and IFN-γ. CONCLUSIONS: MERS-CoV infection could elicit robust long-lasting virus-specific humoral and cellular responses.

Geo-Spatial Disease Clustering for Public Health Decision Making

An explosion of interest has been observed in disease mapping with the developments in advanced spatial statistics, data visualization and geographic information system (GIS) technologies. This technique is known as "Geo-Spatial Disease Clustering," mainly used for visualization and future disease expansion prediction. Its importance has been overwhelmingly observed since the COVID-19 pandemic outbreak. Government, Medical Institutes, and other medical practices gather large amounts of data from surveys and other sources. This data is in the form of notes, databases, spread sheets and text data files. Mostly this information is in the form of feedback from different groups like age group, gender, provider (doctors), region, etc. Incorporating such heterogeneous nature of data is quite challenging task. In this regard, variety of techniques and algorithms have been proposed in the literature, but their effectiveness varies due to data types, volume, format and structure of data and disease of interest. Mostly, the techniques are confined to a specific data type. To overcome this issue, in this research, a data visualization technique combined with data warehousing and GIS for disease mapping is proposed. This includes data cleansing, data fusion, data dimensioning, analysis, visualization, and prediction. Motivation behind this research is to create awareness about the disease for the guidance of patients, healthcare providers and government bodies. By this, we can extract information that describes the association of disease with respect to age, gender, and location. Moreover, the temporal analysis helps earlier prediction and identification of disease, to be care of and necessary avoiding arrangements can be taken.