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High exposure to rats is associated with lower rates of specific IgE and symptoms but an increased frequency of high specific IgG and IgG(4) production. Specific IgG(4) produced together with specific IgE may reduce the risk of developing work-related chest symptoms compared with when specific IgE is produced alone.

IntroductionRisk factors of adverse outcomes in COVID-19 are defined but stratification of mortality using non-laboratory measured scores, particularly at the time of prehospital SARS-CoV-2 testing, is lacking.MethodsMultivariate regression with bootstrapping was used to identify independent mortality predictors in patients admitted to an acute hospital with a confirmed diagnosis of COVID-19. Predictions were externally validated in a large random sample of the ISARIC cohort (N=14 231) and a smaller cohort from Aintree (N=290).Results983 patients (median age 70, IQR 53–83; in-hospital mortality 29.9%) were recruited over an 11-week study period. Through sequential modelling, a five-predictor score termed SOARS (SpO2, Obesity, Age, Respiratory rate, Stroke history) was developed to correlate COVID-19 severity across low, moderate and high strata of mortality risk. The score discriminated well for in-hospital death, with area under the receiver operating characteristic values of 0.82, 0.80 and 0.74 in the derivation, Aintree and ISARIC validation cohorts, respectively. Its predictive accuracy (calibration) in both external cohorts was consistently higher in patients with milder disease (SOARS 0–1), the same individuals who could be identified for safe outpatient monitoring. Prediction of a non-fatal outcome in this group was accompanied by high score sensitivity (99.2%) and negative predictive value (95.9%).ConclusionThe SOARS score uses constitutive and readily assessed individual characteristics to predict the risk of COVID-19 death. Deployment of the score could potentially inform clinical triage in preadmission settings where expedient and reliable decision-making is key. The resurgence of SARS-CoV-2 transmission provides an opportunity to further validate and update its performance.

Introduction: Survivors of COVID-19 infection may develop post-covid pulmonary fibrosis (PCF) and suffer from long term multi-system complications. The magnitude and risk factors associated with these are unknown. Objectives: We investigated the prevalence and risk factors associated with PCF and other complications in patients discharged after COVID-19 infection. Methods: Patients had phone assessment 6 weeks post hospital discharge after COVID-19 infection using a set protocol. Those with significant respiratory symptoms were investigated with a CTPA, Pulmonary Function Tests and echocardiogram. Prevalence of myalgia, fatigue, psychological symptoms and PCF was obtained. Risk factors associated with these were investigated. Results: A large number of patients had persistent (45.1%) fatigue, breathlessness (36.5%), myalgia (20.5%) and psychological symptoms (19.5%). PCF was seen in 9.5% of the patients and was associated with persistent breathlessness at 6 weeks and inpatient ventilation [adjusted OR 5.02(1.76-14.27) and 4.45(1.27-15.58)] respectively. It was more common in men and in patients with peak CRP >171.5 mg/L, peak WBC count ≥12 x 10 9/L, severe inpatient COVID-19 CXR changes and CT changes. Ventilation was also a risk factor for persisting fatigue and myalgia, the latter was also more common in those with severe cytokine storm and severe COVID-19 inpatient CXR changes. Conclusions: All the patients discharged after COVID-19 should be assessed using a set protocol by a multidisciplinary team. Patients who had severe COVID-19 infection particularly those who were intubated and who have persistent breathlessness are at risk of developing PCF. They should have a CT Chest and have respiratory follow-up.

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