UNASSIGNED: Chest Computerized Tomography has been widely used in COVID patients\' assessment. Hence the question arises as to whether there is any correlation between the Ct value and findings on Chest CT scan or clinical presentation of the patient. We wanted to test the hypothesis of whether low Ct values (≤30) in RT-PCR were associated with a high mortality rate, CT scan findings, or with comorbidities such as immunosuppression and lung disease.
UNASSIGNED: The radiographic records and RT-PCR Ct values of 371 COVID patents diagnosed at the American University of Beirut Medical Center were reviewed.
UNASSIGNED: We found out that the sensitivity of chest CT scan compared to RT-PCR, the gold standard, turned out to be 74% (95% CI 69-79%). Specificity, on the other hand was 33% (95% CI 16-55%). The positive predictive value of CT was 94% (95% CI 91-97%) and the negative predictive value was 8% (95% CI 4-16%). low Ct values in RT-PCR were not associated with a higher mortality rate (p-value = 0.416). There was no significant positive association between low Ct value and suspicious CT scan findings (typical and indeterminate for COVID-19), with a p-value of 0.078. There was also no significant association between low Ct value and immunosuppression (p-value = 0.511), or lung disease (p-value =0.06). CT scan findings whether suspicious or not for COVID-19 infection, were not shown to be significantly associated with respiratory symptoms of any kind.No association was found between a history of lung disease, immunosuppression and suspicious CT scan findings for COVID-19.
UNASSIGNED: As long as this pandemic exists, nucleic acid testing was and remains the gold standard of COVID-19 diagnosis worldwide and in our community as it has a superior diagnostic accuracy to CT scan and higher sensitivity (94% vs 74%).

UNASSIGNED: The National Administration of Traditional Chinese Medicine of the People\'s Republic of China (NATCM) and the State Administration of Traditional Chinese medicine (TCM) advocated a combination therapy of TCM and anti-viral drugs for novel coronavirus pneumonia (NCP) to improve the efficacy of clinical treatment.
UNASSIGNED: Forty-six patients diagnosed with NCP were sequentially divided into intent-to-treat population: the experimental group (combination of FuXi-Tiandi-Wuxing Decoction and anti-viral drugs; n = 23) and the control group (anti-viral drugs only) (n = 23). The two groups were compared in terms of duration of fever, cough symptom score, fatigue, appetite, dyspnea, out-of-bed activities, chest computer tomography (CT) recovery, virological clearance, average length of hospital stay, and clinical effective rate of drug. After 6 days of observation, patients from the control group were divided into as-treated population: experimental subgroup (n = 14) to obtain clinical benefit and control subgroup (n = 9).
UNASSIGNED: There was a significant improvement in the duration of fever (1.087 ± 0.288 vs 4.304 ± 2.490), cough (0.437 ± 0.589 vs 2.435 ± 0.662; P < 0.05), chest CT evaluation (82.6% vs 43.4%; P < 0.05), and virological clearance (60.8% vs 8.7%; P < 0.05) in patients of the experimental group compared with patients in the control group. Further observation in as-treated population reported that cough (0.742 ± 0.463 vs 1.862 ± 0.347; P < 0.05) and fatigue (78.5% vs 33.3%; P < 0.05) were significantly relieved after adding FuXi-Tiandi-Wuxing Decoction to the existing treatment.
UNASSIGNED: An early treatment with combination therapy of FuXi-Tiandi-Wuxing Decoction and anti-viral drugs significantly relieves the clinical symptoms of NCP, shows improvement in chest CT scan, improves virological clearance, shortens average length of hospital stay, and reduces the risk of severe illness. The effect of FuXi-Tiandi-Wuxing Decoction in NCP may be clinically important and require further consideration.

UNASSIGNED: When diagnosing Coronavirus disease 2019(COVID-19), radiologists cannot make an accurate judgments because the image characteristics of COVID-19 and other pneumonia are similar. As machine learning advances, artificial intelligence(AI) models show promise in diagnosing COVID-19 and other pneumonias. We performed a systematic review and meta-analysis to assess the diagnostic accuracy and methodological quality of the models.
UNASSIGNED: We searched PubMed, Cochrane Library, Web of Science, and Embase, preprints from medRxiv and bioRxiv to locate studies published before December 2021, with no language restrictions. And a quality assessment (QUADAS-2), Radiomics Quality Score (RQS) tools and CLAIM checklist were used to assess the quality of each study. We used random-effects models to calculate pooled sensitivity and specificity, I2 values to assess heterogeneity, and Deeks\' test to assess publication bias.
UNASSIGNED: We screened 32 studies from the 2001 retrieved articles for inclusion in the meta-analysis. We included 6737 participants in the test or validation group. The meta-analysis revealed that AI models based on chest imaging distinguishes COVID-19 from other pneumonias: pooled area under the curve (AUC) 0.96 (95 % CI, 0.94-0.98), sensitivity 0.92 (95 % CI, 0.88-0.94), pooled specificity 0.91 (95 % CI, 0.87-0.93). The average RQS score of 13 studies using radiomics was 7.8, accounting for 22 % of the total score. The 19 studies using deep learning methods had an average CLAIM score of 20, slightly less than half (48.24 %) the ideal score of 42.00.
UNASSIGNED: The AI model for chest imaging could well diagnose COVID-19 and other pneumonias. However, it has not been implemented as a clinical decision-making tool. Future researchers should pay more attention to the quality of research methodology and further improve the generalizability of the developed predictive models.

\"COVID toes\" is the colloquial name of chilblain-like lesions thought to be a sequela of COVID-19 infection. Over two years and approximately 300 publications later, this association remains controversial. Here, we summarize key clinical, serological, biological, histological, and immunological evidence that supports and rejects this relationship and discuss alternate theories underlying the pathogenesis of chilblain-like lesions.

UNASSIGNED: Toll-like receptors are implicated in the pathophysiology of the severe acute respiratory syndrome coronavirus (SARS-CoV) and the Middle East respiratory disease (MERS), according to several studies. The whole-genome sequencing of SARS-CoV-2 revealed that the TLR7 gene could be implicated in the virus\'s pathogenesis since the virus includes ssRNA patterns that could bind to TLR7.
UNASSIGNED: The purpose of this study was to look into the function of the TLR7 (rs3853839) C/G polymorphism and the expression of TLR7 mRNA transcript in the development, severity and progression of COVID-19.
UNASSIGNED: A case-control study included 285 participants who were divided into two groups: 150 middle-aged people with COVID 19 who had no previous co-morbidities and 135 healthy volunteers who served as controls. TaqMan test was used to genotype the TLR7 (rs3853839) C/G polymorphism, and real-time PCR was used to determine the relative expression of its mRNA transcript. The level of IL-6 in serum was determined using the ELISA method as an indicator of cytokine storm and COVID-19 severity.
UNASSIGNED: The GG genotype was shown to be much more common in COVID-19 patients (38.7%) than controls (4.4%), with an OR of 19.86 (95% CI: 7.85; 50.22) and was linked to disease severity and poor clinical outcomes (hospitalization, respiratory failure, cardiac complications, ICU admission and mechanical ventilation).As a result, the G allele was considerably higher in cases (57.0%), while the C allele was significantly higher in controls (p = 0.001). The GG genotype was found to be substantially more common in patients who were severely/critically unwell. TLR7 mRNA expression levels were significantly higher in COVID-19 patients (2.44 ± 0.89) than in controls (1.06 ± 0.46) (p = 0.001). TLR7 mRNA levels were highest in COVID 19 patients with the GG genotype (rs3853839). Patients with the GG genotype had considerably lower WBC counts, but significantly higher serum ferritin, CRP, IL-6 and D dimer levels (P = 0.045, 0.001, 0.023, 0.033, 0.001, respectively).
UNASSIGNED: The GG form of the TLR7 SNP (rs3853839) could be a genetic risk factor for COVID-19 infection, severe illness and poor clinical outcome. TLR7 mRNA expression was also elevated in COVID-19 patients who were severely/critically unwell and had a bad outcome, suggesting that they could be used as COVID-19 prognostic biomarkers.

SCN5A was considered an exclusively cardiac expressed ion channel but discovered to also act as a novel innate immune sensor. We report on a young SCN5A variant carrier with recurrent ventricular fibrillation and massive myocardial inflammation whose peculiar clinical course is highly suggestive of such a dual role of SCN5A. (Level of Difficulty: Advanced.).

Recently published observational data suggests an increased risk of herpes zoster infection post-vaccination with the BNT162b2 mRNA vaccine. We describe the case of VZV meningitis post BNT162b2 mRNA vaccination in a young immunocompetent patient. A 39-year-old patient with no medical history presented with a vesicular rash, headache, nausea and fever, days after receiving BNT162b2 mRNA vaccination. CSF analysis revealed a pleocytosis, and VZV DNA was confirmed by PCR testing. The patient received intravenous aciclovir with resolution of symptoms within 48 h. He was discharged after 14 days of treatment. Case reports of herpes zoster reactivation post vaccination and details of subsequent successful vaccination course completion have allowed us to recommend the patient receive his second dose of the BNT162b2 mRNA vaccine. At the time of writing, however, the patient has declined to receive further vaccination due to fears of an adverse event. To the best of our knowledge, this is the first reported case in a young patient of herpes zoster meningitis following COVID-19 mRNA vaccination. The sharing of clinical experiences and reporting of suspected side effects, particularly for vaccines that employ novel technology, increases knowledge of the safety profile of these vaccines and allows clinicians to better aid patients make informed decisions with regard to commencing and completing vaccination.

In peripheral arterial disease (PAD), the degree of endogenous capacity to modulate revascularization of limb muscle is central to the management of leg ischemia. To characterize the multiscale and multicellular nature of revascularization in PAD, we have developed the first computational systems biology model that mechanistically incorporates intracellular, cellular, and tissue-level features critical for the dynamic reconstitution of perfusion after occlusion-induced ischemia. The computational model was specifically formulated for a preclinical animal model of PAD (mouse hindlimb ischemia [HLI]), and it has gone through multilevel model calibration and validation against a comprehensive set of experimental data so that it accurately captures the complex cellular signaling, cell-cell communication, and function during post-HLI perfusion recovery. As an example, our model simulations generated a highly detailed description of the time-dependent spectrum-like macrophage phenotypes in HLI, and through model sensitivity analysis we identified key cellular processes with potential therapeutic significance in the pathophysiology of PAD. Furthermore, we computationally evaluated the in vivo effects of different targeted interventions on post-HLI tissue perfusion recovery in a model-based, data-driven, virtual mouse population and experimentally confirmed the therapeutic effect of a novel model-predicted intervention in real HLI mice. This novel multiscale model opens up a new avenue to use integrative systems biology modeling to facilitate translational research in PAD.

OBJECTIVE: The evidence suggests that most vulnerable subjects to COVID-19 infection suffer from patients with comorbidities or immunosuppression, including liver transplant recipients. Liver graft dysfunction may be a rare complication. Some patients complain about the post-COVID-19 syndrome. The aim of this study was to assess medium- and short-term outcomes in liver transplant patients.
METHODS: A retrospective case series was performed at a tertiary referral center. We screened 845 patients who had liver transplant (LT) in our center. All consecutive LT patients with COVID-19 during the Spanish outbreak from March 2020 to April 2021 were included. Demographics, pre-existing comorbidities, clinical and radiological data of COVID-19 infection, complications, and liver graft function were assessed at diagnosis and 3-month follow-up.
RESULTS: Overall, 20 LT patients were diagnosed with confirmed COVID-19. We included 16 patients that met the inclusion criteria, 8 nonhospitalized (50%) and 8 (50%) hospitalized patients were analyzed. The median follow-up was 5.33 months (IQR 3.06-8.26). One patient died during the follow-up. All patients presented some grade of respiratory or functional symptoms. Dyspnea and fatigue were the most prevalent symptoms during the 3-month follow-up. No liver graft dysfunction were reported despite of partial immunosuppression withdrawal in four patients (25%). One patient had cardiovascular complications.
CONCLUSIONS: Our results suggest the presence of post-COVID-19 syndrome with mild residual physical and psychological dysfunction in this subgroup of patients at 3 months after COVID-19. However, no cases of loss or liver graft dysfunction were reported.

UNASSIGNED: Clinical laboratory testing has been an essential part of COVID-19 management. Serology can provide valuable information regarding a patient\'s exposure to virus, and may have a larger role to play as vaccines becomes available. Limited data is available on the serological response in pediatric patients. Here we investigate the use of one manufacturer\'s commercial assays for detecting IgM and IgG in an exclusively pediatric population.
UNASSIGNED: Abbott SARS-CoV-2 IgM and IgG assays were performed on an Abbott ARCHITECT i1000. For specificity studies, we tested 78 patient specimens collected before the COVID-19 pandemic, and 66 specimens from patients who tested negative for SARS-CoV-2 nucleic acid amplification test (NAAT) during the COVID-19 pandemic. For sensitivity we tested 181 specimens from 41 patients with a positive NAAT result. Precision data was acquired for 20 days.
UNASSIGNED: For IgM, the highest qualitative positive agreement with molecular results was observed to be 15-30 days after a positive NAAT result or after symptom onset. For IgG, the highest positive agreement was 31-60 days after a positive NAAT result or 61-90 days after the start of symptoms. IgM started to decline 30 days after NAAT results and faded by 90 days. IgG started to decrease 60 days after a positive NAAT result.
UNASSIGNED: The Abbott IgM and IgG assays have negative agreements of 98.7-100% relative to NAAT results. The IgM and IgG levels assayed by these methods start to decline months after positive molecular results and onset of symptoms in a pediatric population.