Does the Thymus Index Predict COVID-19 Severity?

BACKGROUND: The COVID-19 (coronavirus disease 2019) pandemic is a global health emergency that is straining health care resources. Identifying patients likely to experience severe illness would allow more targeted use of resources. This study aimed to investigate the association between the thymus index (TI) on thorax computed tomography (CT) and prognosis in patients with COVID-19. METHODS: A multicenter, cross-sectional, retrospective study was conducted between March 17 and June 30, 2020, in patients with confirmed COVID-19. The patients' clinical history and laboratory data were collected after receiving a signed consent form. Four experienced radiologists who were blinded to each other and patient data performed image evaluation. The appearance of the thymus was assessed in each patient using 2 published systems, including the TI and thymic morphology. Exclusion criteria were lack of initial diagnostic thoracic CT, previous sternotomy, pregnancy, and inappropriate images for thymic evaluation. A total of 2588 patients with confirmed COVID-19 and 1231 of these with appropriate thoracic CT imaging were included. Multivariable analysis was performed to predict the risk of severe disease and mortality. RESULTS: The median age was 45 (interquartile range, 33-58) years; 52.2% were male. Two hundred forty-nine (20.2%) patients had severe disease, and 60 (4.9%) patients died. Thymus index was significantly associated with mortality and severe disease (odds ratios, 0.289 [95% confidence interval, 0.141-0.588; P = 0.001]; and 0.266 [95% confidence interval, 0.075-0.932; P = 0.038]), respectively. Perithymic lymphadenopathy on CT imaging had a significantly strong association with grades of TI in patients with severe disease and death ( V = 0.413 P = 0.017; and V = 0.261 P = 0.002, respectively). A morphologically assessable thymus increased the probability of survival by 17-fold and the absence of severe disease by 12-fold. CONCLUSION: Assessment of the thymus in patients with COVID-19 may provide useful prognostic data for both disease severity and mortality.

Influenza antivirals and their role in pandemic preparedness.

Effective antivirals provide crucial benefits during the early phase of an influenza pandemic, when vaccines are still being developed and manufactured. Currently, two classes of viral protein-targeting drugs, neuraminidase inhibitors and polymerase inhibitors, are approved for influenza treatment and post-exposure prophylaxis. Resistance to both classes has been documented, highlighting the need to develop novel antiviral options that may include both viral and host-targeted inhibitors. Such efforts will form the basis of management of seasonal influenza infections and of strategic planning for future influenza pandemics. This review focuses on the two classes of approved antivirals, their drawbacks, and ongoing work to characterize novel agents or combination therapy approaches to address these shortcomings. The importance of these topics in the ongoing process of influenza pandemic planning is also discussed.

Understanding the influence of prior positive COVID-19 infection on 90-day outcomes following elective lumbar spine surgery

BACKGROUND CONTEXT The COVID-19 pandemic has radically impacted and transformed surgical practice over the past couple of years. While a significant proportion of research has rightfully focused on prevention and/or treatment of acutely infected COVID-19 patients, little is known about how a prior history of a positive COVID-19 infection (ie, recovered patients) influences outcomes following major elective surgeries. PURPOSE The purpose of the current study was to study whether previous positive COVID-19 infection has an impact on 90-day medical and surgical complication rates following elective lumbar spine surgeries. STUDY DESIGN/SETTING Retrospective cohort utilizing large all-payer database. PATIENT SAMPLE This study included 49,639 patients undergoing elective lumbar spine surgery between 2019 and 2021. OUTCOME MEASURES Ninety-day medical and surgical complication rates. METHODS The 2019 to 2021 PearlDiver Mariner Database, an all-payer claims database, was used to identify patients undergoing elective 1- to 2-level primary posterior/anterior/combined fusions or 1- to 2-level laminectomies for degenerative lumbar spine pathologies and 1- to 2-level primary microdiscectomies for herniated discs. Patients undergoing fusion for fracture, malignancy, infection and/or those undergoing revision procedures were excluded from the study. The study group was divided into two cohorts — those who had a prior history of a COVID-19 infection within the 6 months before surgery and those who were not infected by the virus. Patients who had a positive coded COVID-19 status on the day of surgery were excluded from the analysis. Multivariate logistic regression analyses were used to assess the impact of prior COVID-19 infection on 90-day medical and surgical complication rates, while controlling for baseline demographics (age, gender, payor type/insurance) and clinical characteristics (Charlson comorbidity index, type of surgery, and prior ventilator dependence). RESULTS A total of 49,639 patients undergoing elective lumbar spine surgery between 2019 and 2021 were included in the study, out of which 150 patients (0.3%) had had a positive COVID-19 status and/or infection in the 6 months prior to the surgery. After adjusting for baseline demographics and clinical characteristics, patients with a prior history of COVID-19 infection were more likely to experience cardiac complications (3.3% vs 1.1%, OR 2.75;p=0.021), thromboembolic complications (6.0% vs 2.3%, OR 2.35;p=0.014) and sepsis (5.3% vs 2.0%, OR 2.31;p=0.024) within 90 days of the index surgery. CONCLUSIONS Based on a national retrospective review of patients undergoing elective lumbar spine surgery, it appears that having harbored a positive COVID-19 infection in the 6 months prior to surgery is associated with higher risks of experiencing thromboembolic events, sepsis and acute myocardial infarctions or acute congestive heart failure. The findings of the study support the need of careful postoperative care monitoring and/or risk-stratification of prior COVID-19 patients. FDA DEVICE/DRUG STATUS This does not discuss or include any applicable devices or drugs.

A case of adrenal insufficiency during multisystem inflammatory syndrome in children.

Multisystem inflammatory syndrome in children (MIS-C) is a disease related to coronavirus disease 2019 (COVID-19). Although the effects of COVID-19 on many systems are known, there is limited data regarding its effects on the endocrine system. This study aimed to discuss the effect of COVID-19 on cortisol dynamics in a patient who developed adrenal insufficiency after COVID-19 infection. An 11-yr-old boy with polymerase chain reaction-proven COVID-19 one month previously was referred with a five-day history of fever, vomiting, and rash. On admission, he had hypotension, tachycardia, and severe hyponatremia. After the evaluation, he was diagnosed with MIS-C and glucocorticoid therapy was initiated. During follow-up, the patient experienced adrenal insufficiency, and hydrocortisone treatment was initiated at a crisis dose. Four months later, the adrenal axis function had not recovered. The adrenocortical response in COVID-19 patients may be significantly impaired, resulting in increased mortality or morbidity.

Swine H1N1 Influenza Virus Variants with Enhanced Polymerase Activity and HA Stability Promote Airborne Transmission in Ferrets.

Understanding how animal influenza A viruses (IAVs) acquire airborne transmissibility in humans and ferrets is needed to prepare for and respond to pandemics. Here, we investigated in ferrets the replication and transmission of swine H1N1 isolates P4 and G15, whose majority population had decreased polymerase activity and poor hemagglutinin (HA) stability, respectively. For both isolates, a minor variant was selected and transmitted in ferrets. Polymerase-enhancing variant PA-S321 airborne-transmitted and propagated in one ferret. HA-stabilizing variant HA1-S210 was selected in all G15-inoculated ferrets and was transmitted by contact and airborne routes. With an efficient polymerase and a stable HA, the purified minor variant G15-HA1-S210 had earlier and higher peak titers in inoculated ferrets and was recovered at a higher frequency after airborne transmission than P4 and G15. Overall, HA stabilization played a more prominent role than polymerase enhancement in the replication and transmission of these viruses in ferrets. The results suggest pandemic risk-assessment studies may benefit from deep sequencing to identify minor variants with human-adapted traits. IMPORTANCE Diverse IAVs circulate in animals, yet few acquire the viral traits needed to start a human pandemic. A stabilized HA and mammalian-adapted polymerase have been shown to promote the adaptation of IAVs to humans and ferrets (the gold-standard model for IAV replication, pathogenicity, and transmissibility). Here, we used swine IAV isolates of the gamma lineage as a model to investigate the importance of HA stability and polymerase activity in promoting replication and transmission in ferrets. These are emerging viruses that bind to both α-2,6- and α-2,3-linked receptors. Using isolates containing mixed populations, a stabilized HA was selected within days in inoculated ferrets. An enhanced polymerase was also selected and propagated after airborne transmission to a ferret. Thus, HA stabilization was a stricter requirement, yet both traits promoted transmissibility. Knowing the viral traits needed for pandemic potential, and the relative importance of each, will help identify emerging viruses of greatest concern.

A qualitative investigation into the results of a discrete choice experiment and the impact of COVID-19 on patient preferences for virtual consultations.

OBJECTIVES: To conduct a qualitative investigation on a subset of participants from a previously completed Discrete Choice Experiment (DCE) to understand why factors identified from the DCE are important, how they influenced preference for virtual consultations (VC) and how COVID-19 has influenced preference for VC. METHODS: A quota sample was recruited from participants who participated in our DCE. We specifically targeted participants who were strongly in favour of face-to-face consultations (F2F - defined as choosing all or mostly F2F in the DCE) or strongly in favour of virtual consultations (VC - defined as choosing all or mostly VC consultations in the DCE) to elicit a range of views. Interviews were conducted via telephone or videoconference, audio recorded, transcribed verbatim and uploaded into NVIVO software. A directed content analysis of transcripts was undertaken in accordance with a coding framework based on the results of the DCE and the impact of COVID-19 on preference. RESULTS: Eight F2F and 5 VC participants were included. Shorter appointments were less 'worth' travelling in for than a longer appointment and rush hour travel had an effect on whether travelling was acceptable, particularly when patients experienced pain as a result of extended journeys. Socioeconomic factors such as cost of travel, paid time off work, access to equipment and support in its use was important. Physical examinations were preferable in the clinic whereas talking therapies were acceptable over VC. Several participants commented on how VC interferes with the patient-clinician relationship. VC during COVID-19 has provided patients with the opportunity to access their care virtually without the need for travel. For some, this was extremely positive. CONCLUSIONS: This study investigated the results of a previously completed DCE and the impact of COVID-19 on patient preferences for VC. Theoretically informative insights were gained to explain the results of the DCE. The use of VC during the COVID-19 pandemic provided opportunities to access care without the need for face-to-face social interactions. Many felt that VC would become more commonplace after the pandemic, whereas others were keen to return to F2F consultations as much as possible. This qualitative study provides additional context to the results of a previously completed DCE.

Factors that influence patient preferences for virtual consultations in an orthopaedic rehabilitation setting: a qualitative study.

OBJECTIVES: To identify, characterise and explain factors that influence patient preferences, from the perspective of patients and clinicians, for virtual consultations in an orthopaedic rehabilitation setting. DESIGN: Qualitative study using semi-structured interviews and abductive analysis. SETTING: A physiotherapy and occupational therapy department situated within a tertiary orthopaedic centre in the UK. PARTICIPANTS: Patients who were receiving orthopaedic rehabilitation for a musculoskeletal problem. Occupational therapists, physiotherapists or therapy technicians involved in the delivery of orthopaedic rehabilitation for patients with a musculoskeletal problem. RESULTS: Twenty-two patients and 22 healthcare professionals were interviewed. The average interview length was 48 minutes. Four major factors were found to influence preference: the situation of care (the ways that patients understand and explain their clinical status, their treatment requirements and the care pathway), the expectations of care (influenced by a patients desire for contact, psychological status, previous care and perceived requirements), the demands on the patient (due to each patients respective social situation and the consequences of choice) and the capacity to allocate resources to care (these include financial, infrastructural, social and healthcare resources). CONCLUSION: This study has identified key factors that appear to influence patient preference for virtual consultations in orthopaedic rehabilitation. A conceptual model of these factors, derived from empirical data, has been developed highlighting how they combine and compete. A series of questions, based on these factors, have been developed to support identification of preferences in a clinical setting.

Antibody Responses to SARS-CoV-2 Antigens in Humans and Animals.

To optimize the public health response to coronavirus disease 2019 (COVID-19), we must first understand the antibody response to individual proteins on the severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) and the antibody's cross reactivity to other coronaviruses. Using a panel of 37 convalescent COVID-19 human serum samples, we showed that the magnitude and specificity of responses varied across individuals, independent of their reactivity to seasonal human coronaviruses (HCoVs). These data suggest that COVID-19 vaccines will elicit primary humoral immune responses in naïve individuals and variable responses in those previously exposed to SARS-CoV-2. Unlike the limited cross-coronavirus reactivities in humans, serum samples from 96 dogs and 10 cats showed SARS-CoV-2 protein-specific responses focused on non-S1 proteins. The correlation of this response with those to other coronaviruses suggests that the antibodies are cross-reactive and generated to endemic viruses within these hosts, which must be considered in seroepidemiologic studies. We conclude that substantial variation in antibody generation against coronavirus proteins will influence interpretations of serologic data in the clinical and veterinary settings.