Postinfectious conditions challenge disease-specificity of SNOT-22.

PURPOSE: The Sino-Nasal-Outcome-Test 22 (SNOT-22) questionnaire assesses treatment outcome and health-related quality of life (HRQOL) in patients with chronic rhinosinusitis (CRS). However, given the overlap between CRS and olfaction in terms of nasal function and the definition of CRS, a fundamental question arises: can patients with olfactory dysfunction (OD) stemming from other causes attain SNOT-22 scores similar to those seen in CRS, even in the absence of CRS? Our study aimed to explore whether OD arising from various postinfectious mechanisms challenges the disease-specificity of SNOT-22 for CRS. If so, could focus on scores within specific symptom domains of SNOT-22 prove valuable in distinguishing between different etiologies. METHODS: The study adopted an observational, retrospective cohort design based on prospectively registered patients and related variables using the REDCap platform. 460 patients experiencing OD due to either (1) simple or (2) complex post-COVID-19, (3) postinfectious non-COVID-19, and (4) CRS, were included in the analysis. RESULTS: The study revealed that the total SNOT-22 score lacks disease-specificity for CRS. This is evident, because complex postinfectious mechanisms resulting from COVID-19 can produce similar symptoms in patients. Notably, elevated total scores were primarily driven by high subdomain scores within the "sleep and cognition" domain. CONCLUSIONS: The application of SNOT-22 as a screening tool needs to be approached with caution, as the total score alone does not provide disease-specific insights. A more thorough exploration of the four symptom domains and the identification of distinctive scoring patterns within the clinical context may prove pivotal in effectively differentiating between various underlying causes.

Factors associated with prolonged viral shedding of SARS-CoV-2 Omicron variant infection in Shanghai: A multicenter, retrospective, observational study.

Shanghai has faced an unprecedented COVID-19 pandemic with the BA.2.2 strain of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron infection. Comprehensive insights into its epidemiology, clinical manifestations, and viral shedding dynamics are currently limited. This study encompasses 208373 COVID-19 patients that were infected with the Omicron BA.2.2 sub-lineage in Shanghai, China. Demographic information, clinical symptoms, vaccination status, isolation status, as well as viral shedding time (VST) were recorded. Among the COVID-19 patients included in this study, 187124 were asymptomatic and 21249 exhibited mild symptoms. The median VST was 8.3 days. The common clinical symptoms included fever, persistent cough, phlegm, sore throat, and gastrointestinal symptoms. Factors such as advanced age, presence of comorbidities, mild symptomatology, and delayed isolation correlated with extended VST. Conversely, female gender and administration of two or three vaccine doses correlated with a reduction in VST. This investigation offers an in-depth characterization and analytical perspective on Shanghai's recent COVID-19 surge. Prolonged viral shedding of SARS-CoV-2 was observed in elderly, male, symptomatic patients, and those with comorbidity. Female, individuals with two or three vaccine doses, as well as those isolated early, shows an effective reduced VST.

Macrophage-Derived Chemokine MDC/CCL22: An Ambiguous Finding in COVID-19.

Macrophage-derived chemokine (MDC/CCL22) is a chemokine of the C-C subfamily. It is involved in T-cellular maturation and migration. Our previous research shows that plasma CCL22/MDC tends to show a statistically significant depletion of concentrations in acute patients and convalescents when compared to healthy donors. In the current work, we investigate existing views on MDC/CCL22 dynamics in association with various pathologies, including respiratory diseases and, specifically, COVID-19. Additionally, we present our explanations for the observed decrease in MDC/CCL22 concentrations in COVID-19. The first hypothesis we provide implies that viral products bind to MDC/CCL22 and block its activity. Another explanation for this phenomenon is based on dendritic cells population and the inhibition of their function.

Identifying the cycles in COVID-19 infection: the case of Turkey.

The new coronavirus disease, called COVID-19, has spread extremely quickly to more than 200 countries since its detection in December 2019 in China. COVID-19 marks the return of a very old and familiar enemy. Throughout human history, disasters such as earthquakes, volcanic eruptions and even wars have not caused more human losses than lethal diseases, which are caused by viruses, bacteria and parasites. The first COVID-19 case was detected in Turkey on 12 March 2020 and researchers have since then attempted to examine periodicity in the number of daily new cases. One of the most curious questions in the pandemic process that affects the whole world is whether there will be a second wave. Such questions can be answered by examining any periodicities in the series of daily cases. Periodic series are frequently seen in many disciplines. An important method based on harmonic regression is the focus of the study. The main aim of this study is to identify the hidden periodic structure of the daily infected cases. Infected case of Turkey is analyzed by using periodogram-based methodology. Our results revealed that there are 4, 5 and 62 days cycles in the daily new cases of Turkey.

Experience of People With Chronic Sinusitis During COVID-19 Lockdown in Saudi Arabia: Insights and Lessons.

Background This study aims to evaluate the effect of the COVID-19 lockdown period on chronic rhinosinusitis (CRS) symptoms control. Methodology This cross-sectional study was carried out on adult patients (aged ≥18 years) who visited King Abdulaziz University Hospital within six months before the lockdown starting date. Background information, including patients' diagnosis, presence of rhinitis, number of previous surgeries, and medications, was collected. CRS symptom burden was measured using a validated Arabic version of the 22-item Sino-Nasal Outcome Test (SNOT-22). Study participants were required to complete the survey two months after the start of the lockdown. Results Out of 66 patients, 43 agreed to participate. The majority of respondents (34, 75.6%) were diagnosed with CRS with nasal polyps. The study revealed no differences between pre- and post-lockdown total symptom scores. Conclusions The COVID-19 pandemic has affected the health system worldwide in many ways. Regarding the scope of our study, CRS symptoms, fortunately, did not worsen with the pandemic. This is considered the first reported study to assess such symptom control among people with CRS in Saudi Arabia during the COVID-19 lockdown period.

Evaluation of Chronic Rhinosinusitis Symptoms' Severity Following COVID-19 Infection: A Retrospective Analysis.

Objectives This study aims to compare the severity of chronic rhinosinusitis (CRS) symptoms pre- and post-COVID-19 infection and estimate the impact of the COVID-19 pandemic on the use of intranasal corticosteroids (ICS) among adult CRS patients. Methods This was an observational retrospective cohort study conducted at King Abdulaziz University Hospital, Riyadh, Saudi Arabia, between July 2022 and October 2022. Adult CRS patients with sino-nasal outcomes test-22 (SNOT-22) scores documented prior to March 2020, marking the occurrence of Saudi Arabia's initial reported case of COVID-19, were requested to complete the SNOT-22 questionnaire following COVID-19 infection. A comparison was subsequently made between the two scores obtained. Results The study enrolled a total of 33 patients, with 16 assigned to the control group and 17 with a history of COVID-19 infection. The mean age of the patients was 43 years, and the majority (52%) were males. Statistical analysis did not reveal any statistically significant differences in the total SNOT-22 scores or domain-level scores between the two groups. Furthermore, the use of ICS during the COVID-19 pandemic did not show any significant associations, except for patients with asthma, where 80% of them used ICS during the pandemic (p=0.0073). Conclusion There was no statistically significant disparity observed in the SNOT-22 scores between patients who tested positive for COVID-19 and those who did not. The use of corticosteroids during the COVID-19 pandemic was found to be more prevalent in this study compared to previous studies conducted before the pandemic, particularly among patients with asthma. The use of ICS during the pandemic was not associated with the presence of polyps, functional endoscopic sinus surgery (FESS), allergic rhinitis, or eczema.

Determination of 25 quaternary ammonium compounds in sludge by liquid chromatography-mass spectrometry.

With the pandemic of COVID-19, the application of quaternary ammonium compounds (QACs), which can be used in SARS-CoV-2 disinfection products, has increased substantially. QACs cumulated in sewer system are ultimately deposited and enriched in sludge. QACs in the environment can adversely affect human health and the environment. In this study, a liquid chromatography-mass spectrometry method was established for the simultaneous determination of 25 QACs in sludge samples. Ultrasonic extraction and filtration of the samples was performed using a 50 mM hydrochloric acid-methanol solution. The samples were separated by liquid chromatography and detected in multiple reaction monitoring mode. The matrix effects of the sludge on the 25 QACs ranged from - 25.5% to 7.2%. All substances showed good linearity in the range of 0.5-100 ng/mL, with all determination coefficients (R2) greater than 0.999. The method detection limits (MDLs) were 9.0 ng/g for alkyltrimethylammonium chloride (ATMAC), 3.0 ng/g for benzylalkyldimethylammonium chloride (BAC), and 3.0 ng/g for dialkyldimethylammonium chloride (DADMAC). The spiked recovery rates were in the range of 74-107%, while the relative standard deviations were in the range of 0.8-20.6%. Considering its sensitivity, accuracy, and easy operation, the proposed method in this study was used to determine 22 sludge samples collected from a comprehensive wastewater treatment plant. The results showed that the concentrations of ΣATMACs, ΣBACs, and ΣDADMACs were 19.684, 3.199, and 8.344 µg/g, respectively. The main components included ATMAC-C16, ATMAC-C18, ATMAC-C20, ATMAC-C22, BAC-C12, and DADMAC-C18:C18, with concentrations exceeding 1.0 µg/g. The concentration relationships of different components in the congeners showed that some components were of similar origin.

The impact of containment measures and monetary and fiscal responses on US financial markets during the COVID-19 pandemic.

This paper analyses the effects of containment measures and monetary and fiscal responses on US financial markets during the Covid-19 pandemic. More specifically, it applies fractional integration methods to analyse their impact on the daily S&P500, the US Treasury Bond Index (USTB), the S&P Green Bond Index (GREEN) and the Dow Jones (DJ) Islamic World Market Index (ISLAM) over the period 1/01/2020-10/03/2021. The results suggest that all four indices are highly persistent and exhibit orders of integration close to 1. A small degree of mean reversion is observed only for the S&P500 under the assumption of white noise errors and USTB with autocorrelated errors; therefore, market efficiency appears to hold in most cases. The mortality rate, surprisingly, seems to have affected stock and bond prices positively with autocorrelated errors. As for the policy responses, both the containment and fiscal measures had a rather limited impact, whilst there were significant announcement effects which lifted markets, especially in the case of monetary announcements. There is also evidence of a significant, positive response to changes in the effective Federal funds rate, which suggests that the financial industry, mainly benefiting from interest rises, plays a dominant role.

Face mask correlation with allergic rhinitis symptoms severity during COVID-19 pandemic: A cross-sectional study.

Background: Face mask is the first line to protect the respiratory mucosa from the coronavirus particles in aerocells and droplets and without this, the exposure of the mucosa to the virus and allergens trigger the immune and inflammatory system. These lead to Allergic Rhinitis (AR) symptoms or virus infection. Aim: This study discusses about the effects of face mask on the severity of AR symptoms using the Sino-Nasal Outcome Test (SNOT-22) in AR cases during the Corona Virus Disease 2019 (COVID-19) pandemic. Method: In this cross-sectional study, 54 cases previously diagnosed as moderate and severe AR based on Allergic Rhinitis and its Impact on Asthma and Visual Analog Scale score referred to the tertiary allergy clinic were involved, while 5 of them were excluded. AR symptoms before and during the pandemic were compared based on the SNOT-22 questionnaire. Demographics, AR severity, and comorbidities were registered. Results: The mean age was 31.4 ± 13.5 years with the male-female ratio of 1.4. The mean SNOT-22 score was 36.1 ± 20.3 before and 29.5 ± 16.8 during the pandemic. Although 36.7% (n: 18) of all participants had severe symptoms before the pandemic, 10.2% (n: 5) had severe AR symptoms during the pandemic. 53.0% (n: 26) of patients had moderate AR symptoms, and 36.7% (n: 18) had mild AR symptoms in the pandemic. There was no significant difference between each paired subgroup in AR symptom changes but the symptom improvement was significant in most of the subgroups when compared to the pre-pandemic period. Smoking had an adverse effect on AR symptoms (p: 0.034). Conclusion: Face mask affects the quality of life in AR patients and improves the severity of AR symptoms during COVID-19 pandemic. Smoking worsens this severity. Age, gender, pet ownership, underlying conditions, and previous COVID-19 infection were not associated with AR symptoms severity and alteration in the AR individuals' quality of life during the COVID-19 pandemic.

Impact of the COVID-19 Pandemic on Middle-Aged and Older Patients With Adolescent Idiopathic Scoliosis Who Underwent Spinal Fusion: A Questionnaire-Based Survey.

Purpose To investigate the impact of the COVID-19 pandemic on middle-aged and older patients with adolescent idiopathic scoliosis (AIS) who underwent spinal fusion. Methods The subjects were 252 AIS patients who underwent spinal fusion between 1968 and 1988. The surveys were performed before the COVID-19 pandemic (a primary survey in 2014) and during the pandemic (a secondary survey in 2022). The self-administered questionnaires were mailed to the patients. We analyzed 35 patients (33 females and two males) who replied to both surveys. Results The pandemic had low impacts on 11 patients (31.4%). Two patients reported refraining from seeing a doctor because they were concerned about going to the clinic or hospital, eight reported that the pandemic impacted their work, and five reported fewer opportunities to go out (based on multiple-choice answers). Twenty-four patients reported that their lives were unaffected by the pandemic. No significant differences were detected between both surveys for Scoliosis Research Society-22 (SRS-22) in any domains (function, pain, self-image, mental, or satisfaction). The Oswestry Disability Index (ODI) questionnaires revealed a significant worsening of the survey during the pandemic compared with the survey before the pandemic. There was no significant difference in the impact of the pandemic between the ODI deterioration group (27.8%) and the ODI stable group (35.3%). Conclusion The COVID-19 pandemic had a low impact on 31.4% of middle-aged and older patients with AIS who underwent spinal fusion. The impact of the pandemic did not significantly differ between the groups with ODI deteriorations and the groups with stable ODI. The pandemic had a smaller impact on AIS patients at a minimum of 33 years after surgery.

Interleukin-22 and interleukin-33 show up-regulated levels in the serum of patients with mild/moderate Coronavirus disease 2019.

Background: This study analyzed serum concentrations of interleukin (IL)-22 and IL-33 (pro-inflammatory and anti-inflammatory cytokines) in 90 patients with mild/moderate coronavirus disease 2019 (COVID-19) and 90 healthy controls. Enzyme-linked immunosorbent assay kits were used to measure IL-22 and IL-33 concentrations. Results: Median (interquartile range) concentrations of IL-22 and IL-33 were significantly higher in patients than in controls (IL-22: 18.6 [18.0-19.3] vs. 13.9 [12.1-14.9] pg/mL, probability [p] < 0.001; IL-33: 37.8 [35.3-43.0] vs. 24.1 [23.0-26.2] pg/mL, p < 0.001). As indicated by the area under the curve (AUC), IL-22 and IL-33 were excellent predictors of COVID-19 (AUC = 0.95 and 0.892, respectively). Multinomial logistic regression analysis demonstrated that individuals with high production (> control median) of IL-22 (odds ratio = 17.80 [95% CI: 6.48-48.90]; p = 0.001) and IL-33 (odds ratio = 19.0 [95% CI: 7.4-48.6]; p = 0.001) were more likely to develop COVID-19. A positive correlation was found between IL-22 and IL-33 and both cytokines also showed positive correlations with granulocyte-to-lymphocyte ratio and erythrocyte sedimentation rate in all participants. Conclusions: IL-22 and IL-33 showed up-regulated concentrations in the serum of patients with mild/moderate COVID-19. Both cytokines may have prognostic value for COVID-19 along with their association with disease risk.

Rapid Assessment of COVID-19 Mortality Risk with GASS Classifiers.

Risk prediction models are fundamental to effectively triage incoming COVID-19 patients. However, current triaging methods often have poor predictive performance, are based on variables that are expensive to measure, and often lead to hard-to-interpret decisions. We introduce two new classification methods that can predict COVID-19 mortality risk from the automatic analysis of routine clinical variables with high accuracy and interpretability. SVM22-GASS and Clinical-GASS classifiers leverage machine learning methods and clinical expertise, respectively. Both were developed using a derivation cohort of 499 patients from the first wave of the pandemic and were validated with an independent validation cohort of 250 patients from the second pandemic phase. The Clinical-GASS classifier is a threshold-based classifier that leverages the General Assessment of SARS-CoV-2 Severity (GASS) score, a COVID-19-specific clinical score that recently showed its effectiveness in predicting the COVID-19 mortality risk. The SVM22-GASS model is a binary classifier that non-linearly processes clinical data using a Support Vector Machine (SVM). In this study, we show that SMV22-GASS was able to predict the mortality risk of the validation cohort with an AUC of 0.87 and an accuracy of 0.88, better than most scores previously developed. Similarly, the Clinical-GASS classifier predicted the mortality risk of the validation cohort with an AUC of 0.77 and an accuracy of 0.78, on par with other established and emerging machine-learning-based methods. Our results demonstrate the feasibility of accurate COVID-19 mortality risk prediction using only routine clinical variables, readily collected in the early stages of hospital admission.

RAMIHM generates fully human monoclonal antibodies by rapid mRNA immunization of humanized mice and BCR-seq.

As a clinical vaccine, lipid nanoparticle (LNP) mRNA has demonstrated potent and broad antibody responses, leading to speculation about its potential for antibody discovery. Here, we developed RAMIHM, a highly efficient strategy for developing fully human monoclonal antibodies that employs rapid mRNA immunization of humanized mice followed by single B cell sequencing (scBCR-seq). We immunized humanized transgenic mice with RAMIHM and generated 15 top-ranked clones from peripheral blood, plasma B, and memory B cell populations, demonstrating a high rate of antigen-specificity (93.3%). Two Omicron-specific neutralizing antibodies with high potency and one broad-spectrum neutralizing antibody were discovered. Furthermore, we extended the application of RAMIHM to cancer immunotherapy targets, including a single transmembrane protein CD22 and a multi-transmembrane G protein-coupled receptor target, GPRC5D, which is difficult for traditional protein immunization methods. RAMIHM-scBCR-seq is a broadly applicable platform for the rapid and efficient development of fully human monoclonal antibodies against an assortment of targets.

3ß-Acetoxy-21α-H-hop-22(29)ene, a novel multitargeted phytocompound against SARS-CoV-2: in silico screening.

The present pandemic disease COVID-19 demands an urgent need for more efficient antiviral drugs against SARS-CoV-2. Computational drug designing and discovery enable us to explore ethnomedicinal plants as a source of various lead molecules that can be used against present and future pathogens. Adiantum latifolium Lam., a common fern, is resistant to pathogens mainly due to the presence of various phytochemicals having antimicrobial properties. In our previous study, 3ß-acetoxy-21α-H-hop-22(29)ene, a terpenoid has been characterized from the methanol extract of leaves of A. latifolium. The manuscript evaluates the antiviral potency of the compound against SARS-CoV-2 through molecular docking method. Proteins essential for SARS-CoV-2 multiplication in host cells are the target sites. The study revealed strong binding affinity of the compound for all the ten proteins selected, including seven nonstructural proteins, two structural proteins and one receptor protein, with a binding energy of -4.67 to -8.76 kcal/mol. MDS and MMPBSA analysis of the best ranked complex further confirmed the results. The multitargeted compound can be considered as a natural lead molecule in drug designing against COVID-19, but requires wet-lab experimentation and clinical trials.Communicated by Ramaswamy H. Sarma.

COVID-19 Severity, Cardiological Outcome, and Immunogenicity of mRNA Vaccine on Adult Patients With 22q11.2 DS.

BACKGROUND: The contemporaneous presence of immune defects and heart diseases in patients with 22q11.2 deletion syndrome (22q11.3DS) might represent risk factors for severe coronavirus 2019 disease (COVID-19). OBJECTIVE: To analyze severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outcome in 22q11.2DS patients and immunogenicity of different doses of mRNA SARS-CoV-2 vaccine. METHODS: Longitudinal observational study on SARS-CoV-2 outcome in 60 adults with 22q11.2DS (March 2020-June 2022). Anti-Spike, and anti-receptor binding domain (RBD) antibody responses, generation of Spike-specific memory B cells (MBCs) and Spike-specific T cells at different time points before and after the mRNA BNT162b2 vaccination were evaluated in 16 22q11.2DS patients. RESULTS: We recorded a 95% rate of vaccination, with almost all patients being immunized with the booster dose. Twenty-one patients had SARS-CoV-2 infection. Three patients were infected before vaccine availability, 6 after receiving 2 doses of vaccine, and 12 after one booster dose. The SARS-CoV-2- infection had a mild course, except in one unvaccinated patient with several comorbidities who died from acute respiratory distress syndrome (fatality rate 5%). Infected patients had more frequently moderate/severe intellectual disability, lymphopenia, and lower CD4+ count. Despite major congenital heart diseases, COVID-19 did not impact cardiological conditions. The BNT162b2 vaccine induced S1-immunoglobulin G (IgG) responses, low serum S1-IgA, and slightly impaired specific MBCs response. Specific T-cell responses observed were related to lymphocytes and CD4+ T cell counts. CONCLUSIONS: The SARS-CoV-2 infection had a mild course in most patients with 22q11.2DS, even in patients with major cardiovascular diseases. Immunization induced Spike-specific IgG responses and generated specific MBCs and memory T cells. The weaker memory responses in patients with lymphopenia suggested the need for additional doses.

Interactive deciphering electron-shuttling characteristics of Coffea arabica leaves and potential bioenergy-steered anti-SARS-CoV-2 RdRp inhibitor via microbial fuel cells.

Due to the pandemics of COVID-19, herbal medicine has recently been explored for possible antiviral treatment and prevention via novel platform of microbial fuel cells. It was revealed that Coffea arabica leaves was very appropriate for anti-COVID-19 drug development. Antioxidant and anti-inflammatory tests exhibited the most promising activities for C. arabica ethanol extracts and drying approaches were implemented on the leaf samples prior to ethanol extraction. Ethanol extracts of C. arabica leaves were applied to bioenergy evaluation via DC-MFCs, clearly revealing that air-dried leaves (CA-A-EtOH) exhibited the highest bioenergy-stimulating capabilities (ca. 2.72 fold of power amplification to the blank). Furthermore, molecular docking analysis was implemented to decipher the potential of C. arabica leaves metabolites. Chlorogenic acid (-6.5 kcal/mol) owned the highest binding affinity with RdRp of SARS-CoV-2, showing a much lower average RMSF value than an apoprotein. This study suggested C. arabica leaves as an encouraging medicinal herb against SARS-CoV-2.

Otorhinolaryngology Symptom Assessment Using SNOT 22 Among SARS CoV-2 Patients in a Tertiary Care Centre.

The main aim of the study was to assess various ENT symptoms in COVID 19 patients, also to investigate the severity of ENT symptoms among COVID 19 patients and find their relation on basis of scores among five discrete domains of SNOT 22 (Sino nasal Outcome Test). A prospective observational study was conducted among 135 patients between 18 to 75 years of age, in the month of September 2020 with COVID-19 infection having mild, moderate disease who were admitted to our hospital. Subjects were divided into groups according to their presenting ENT symptoms based on age, gender and other comorbidities and differences between the groups were examined. The sinonasal symptoms were assessed using the SNOT 22 questionnaire. A strong statistical significance with loss of smell and taste sensation was noted in patients above the age of 40 years. It was also noted that the patients who presented with cough above the age of 40 years were significantly more. Evaluation of sinonasal symptoms using SNOT 22 questionnaire showed that Extranasal rhinologic symptoms, Psychological dysfunction, Sleep dysfunction had significantly higher association among patients who were more than 40 years. We observed that, Extranasal rhinologic symptoms were significantly higher among males than females. There is thus an emergent need to develop a uniform tool to assess the various ENT symptoms. In our study we assessed the patients with COVID 19 using a standard questionnaire to observe the symptomatology, psychological and sleep dysfunctions due to sinonasal issues, and to closely understand the relationship of various symptoms in a meticulous manner.

Elevated plasma CAF22 are incompletely restored six months after COVID-19 infection in older men.

INTRODUCTION: The long-term complications of COVID-19 appear as significant health problems. However, the long-term muscle decline in these patients is poorly characterized. METHODS: We investigated the age-related muscle decline, termed sarcopenia, before and following the COVID-19 infection in older male patients (n = 87). We evaluated handgrip strength (HGS) and functional capacity (short physical performance battery; SPPB) in COVID-19 patients 7-42 days before and one week and 6-month after COVID-19 infection. We used ELISA tests to measure plasma c-terminal agrin fragment-22 (CAF22), c-reactive protein (CRP), and 8-isoprostanes as markers of degraded neuromuscular junctions, inflammation, and oxidative stress, respectively. RESULTS: Before the COVID-19 infection, 54 patients were non-sarcopenic, and 25 patients were sarcopenic, while eight patients subsequently developed sarcopenia. All patients exhibited reduced HGS and SPPB, while elevated CAF22, CRP, and 8-isoprostane levels one week post-COVID-19 infection (all p < 0.05). At six months post-COVID-19 infection, the HGS, SPPB, CAF22, CRP, and 8-isoprostanes were partly restored to baseline levels (all p < 0.05). Correlation analysis revealed that the plasma CAF22 had a significant correlation with HGS, SPPB, and COVID-19 disease severity. CAF22 also demonstrated significant areas under the curves in diagnosing sarcopenia at all three time-points. CONCLUSION: Altogether, the muscle detriment due to COVID-19 persists six months post-infection, and plasma CAF22 may be helpful to detect muscle and functional decline in these patients. Timely evaluation and intervention of sarcopenia may be critical in COVID-19 treatment.

Correlations of Myeloperoxidase (MPO), Adenosine deaminase (ADA), C-C motif chemokine 22 (CCL22), Tumour necrosis factor alpha (TNFα) and Interleukin-6 (IL-6) mRNA expression in the nasopharyngeal specimens with the diagnosis and severity of SARS-CoV-2 infections.

Cytokine dynamics in patients with coronavirus disease 2019 (COVID-19) have been studied in blood but seldomly in respiratory specimens. We studied different cell markers and cytokines in fresh nasopharyngeal swab specimens for the diagnosis and for stratifying the severity of COVID-19. This was a retrospective case-control study comparing Myeloperoxidase (MPO), Adenosine deaminase (ADA), C-C motif chemokine ligand 22 (CCL22), Tumour necrosis factor alpha (TNFα) and Interleukin-6 (IL-6) mRNA expression in 490 (327 patients and 163 control) nasopharyngeal specimens from 317 (154 COVID-19 and 163 control) hospitalized patients. Of the 154 COVID-19 cases, 46 died. Both total and normalized MPO, ADA, CCL22, TNFα, and IL-6 mRNA expression levels were significantly higher in the nasopharyngeal specimens of infected patients when compared with controls, with ADA showing better performance (OR 5.703, 95% CI 3.424-9.500, p < 0.001). Receiver operating characteristics (ROC) curve showed that the cut-off value of normalized ADA mRNA level at 2.37 × 10-3 had a sensitivity of 81.8% and specificity of 83.4%. While patients with severe COVID-19 had more respiratory symptoms, and elevated lactate dehydrogenase, multivariate analysis showed that severe COVID-19 patients had lower CCL22 mRNA (OR 0.211, 95% CI 0.060-0.746, p = 0.016) in nasopharyngeal specimens, while lymphocyte count, C-reactive protein, and viral load in nasopharyngeal specimens did not correlate with disease severity. In summary, ADA appears to be a better biomarker to differentiate between infected and uninfected patients, while CCL22 has the potential in stratifying the severity of COVID-19.

Comparing the severity of chronic rhinosinusitis symptoms before versus during the COVID-19 pandemic.

Background: COVID-19 measures such as masking, social distancing, and staying indoors may mitigate chronic rhinosinusitis (CRS) symptoms. We evaluate whether these measures correlated with improved symptoms in patients with CRS. Methods: This retrospective study compared SNOT-22 survey data from the Northwestern CRS Registry at the time of enrollment and at years 1-5 of follow-up. The final sample consisted of 1826 SNOT-22 surveys for 598 patients. April 10, 2020 to December 31, 2021 was considered "during the pandemic" and prior to March 11, 2020 was considered "pre-pandemic." Wilcoxon test was used to compare SNOT22 at enrollment pre-pandemic versus during pandemic. Separate linear mixed models were performed to estimate SNOT22 at 1 to 5 years after enrollment pre-pandemic versus during pandemic. Results: Subjects enrolled during the pandemic had worse SNOT22 scores than those enrolled pre-pandemic (53 vs. 42, p = .0024). Total SNOT-22 scores were improved during the pandemic than before the pandemic at 1 year follow-up (18.17 vs. 12.22, p = .001). This effect persists when evaluating the nasal (7.33 vs. 5.13, p = .003), sleep (2.63 vs. 1.39, p = .008), function (1.40 vs. 0.72, p = .015), and emotion (0.77 vs. 0.17, p < .001) domains individually. There was no statistically significant difference in total SNOT-22 score at Years 2-5 of follow-up. Conclusions: Patients with CRS experience a greater reduction in symptom severity in their first year of treatment during the pandemic than before the pandemic, plausibly from measures such as masking and staying indoors. Level of Evidence: 4.