Corticosteroids are synthetic analogues of human hormones normally produced by the adrenal cortex. They have both glucocorticoid and mineralocorticoid properties. The glucocortoid components are anti-inflammatory, immunosuppressive, anti-proliferative and vasoconstrictive. They influence the metabolism of carbohydrate and protein, in addition to playing a key role in the body’s stress response. Mineralocorticoid’s main significance is in the balance of salt and water concentrations. Due to the combination of these effects, corticosteroids can cause many adverse effects. Oral corticosteroids are absorbed systemically and are therefore more likely to cause adverse effects than topical or inhaled corticosteroids. Furthermore, it is assumed that greater duration of treatment will lead to a greater number of adverse effects, and therefore the most at risk group are those taking high dose, long-term oral corticosteroids (LTOC). High dose is defined as a prescription of >5 mg oral prednisolone and long term as duration of treatment >1 month (based on National Institute for Health and Care Excellence guidance for patient’s ’at risk' of systemic side effects). Parameters to be monitored in primary care include weight, blood pressure, triglycerides, glucose and urea and electrolytes. From clinical experience within the general practice setting, the authors propose that these patients do not receive adequate baseline monitoring before starting corticosteroids nor are these markers monitored consistently thereafter. This project intended to evidence this claim, evaluate the adverse effect profile and improve monitoring in this patient group. The initial audit of 22 patients, within a single general practice, detected at least one documented adverse effect in 64% of patients, while 41% reported more than one adverse effect. 45% had recorded weight gain, 18% had recorded osteoporosis, 18% had at least one recorded cataract, 14% had recorded Hypertension, 14% had recorded diabetes mellitus, 9% had recorded dyspepsia and 5% had a recorded psychiatric complaint. All of these recorded conditions were either directly attributed to steroid medication or occurred since LTOC were prescribed. The aim of this project was to increase the percentage of patients on LTOC with complete baseline monitoring to 100%. ’Baseline monitoring' was defined as a measurement taken within the previous 5 years. Although somewhat arbitrary, 5 years was felt to be the maximum timeframe in which monitoring would still be relevant for comparison following introduction of LTOC. Quality improvement methodology was used throughout this project with multiple PDSA (Plan, Study, Do and Act) cycles. Through this, a monitoring system and protocol for patients taking LTOC was developed. As a result of this project, five adverse effects were detected in five different patients. These included two cases of secondary hypertension, one case of diabetes mellitus, one cataract and one case of adrenal insufficiency. 12 out of 20 patients achieved complete baseline mon...

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IntroductionThe novel coronavirus SARS-CoV2 and the associated disease, Covid-19, continue to pose a global health threat. The CovidCalculatorUK is an open-source online tool (covidcalculatoruk.org) that estimates the probability that an individual patient, who presents to a UK hospital, will later test positive for SARS-CoV2. The objective is to aid cohorting decisions and minimise nosocomial transmission of SARS-CoV2.MethodsThis n = 500 prospective, observational, multicentre, validation study compared the CovidCalculatorUK’s estimated probability of Covid-19 with the first SARS-CoV2 oropharyngeal/nasopharyngeal swab result for individual patients admitted to hospital during the study period (01.04.20 − 18.05.20). A comparison with senior clinicians’ estimates of the probability of Covid-19 was also made.ResultsPatients who were prospectively grouped, by the CovidCalculatorUK, into 0-30% estimated probability, 30-60% and 60-100% estimated probability went on to have first swab SARS-CoV2 positive results in: 15.7%, 30.5% and 61.9% of cases, respectively. CovidCalculatorUK performance demonstrated an area under the curve of 0.76 (95% CI 0.71 – 0.81) (p < 0.001). Senior clinician stratification of the estimated probability of Covid-19 performed similarly to the CovidCalculatorUK.ConclusionThe CovidCalculatorUK provides a reasonably accurate estimate of the probability of an individual testing positive on their first SARS-CoV2 nasopharyngeal/oropharyngeal swab. The CovidCalculatorUK output performs similarly to a senior clinician’s estimate. Further evolution of the calculator may improve performance.