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BackgroundComplications following SARS-CoV-2 infection require simultaneous characterisation and management to plan policy and health system responses. We describe the 12-month experience of the first UK dedicated Post-COVID clinical service to include both hospitalised and non-hospitalised patients. MethodsIn a single-centre, observational analysis, we report outcomes for 1325 individuals assessed in the University College London Hospitals NHS Foundation Trust Post-COVID service between April 2020 and April 2021. Demography, symptoms, comorbidities, investigations, treatments, functional recovery, specialist referral and rehabilitation were compared by referral route ("post hospitalisation", PH; "non-hospitalised", NH; and "post emergency department", PED). Symptoms associated with poor recovery or inability to return to work full-time were assessed using multivariable logistic regression. Findings1325 individuals were assessed (PH 547 [41.3%], PED 212 [16%], NH 566 [42.7%]. Compared with PH and PED groups, NH were younger (median 44.6 [35.6-52.8] vs 58.3 [47.0-67.7] and 48.5 [39.4-55.7] years), more likely to be female (68.2%, 43.0% and 59.9%), less likely to be from an ethnic minority (30.9%, 52.7% and 41.0%) and seen later after symptom onset (median [IQR]:194 [118-298], 69 [51-111] and 76 [55-128] days) (all p<0.0001). NH patients had similar rates of onward specialist referral as PH and PED groups (18.7%, 16.1% and 18.9%, p=0.452), and were more likely to require support for breathlessness (23.7%, 5.5% and 15.1%, p<0.001) and fatigue (17.8%, 4.8%, 8.0%, p<0.001). Hospitalised patients had higher rates of pulmonary emboli, persistent lung interstitial abnormalities, and other organ impairment. 716 (54.0%) individuals reported <75% of optimal health (median [IQR] 70% [55%-85%]). Overall, less than half of employed individuals felt able to return to work full-time at first assessment. InterpretationSymptoms following SARS-CoV-2 infection were significant in both post- and non-hospitalised patients, with significant ongoing healthcare needs and utilisation. Trials of interventions and patient-centred pathways for diagnostic and treatment approaches are urgently required. FundingUCLH/UCL BRC Research in contextO_ST_ABSPrevious evidenceC_ST_ABSLong COVID and post-COVID syndrome were first identified in April 2020. We searched PubMed and medrxiv for articles published up to April 30th, 2021, using the keywords "long COVID", "post-COVID syndrome", "persistent symptoms", "hospitalised", "community" and "non-hospitalised". We identified 17 articles and 7 systematic reviews. Fifteen studies have considered symptoms, multi-organ or functional impairment but only one study to-date has considered all these variables in non-hospitalised COVID patients. No studies have compared symptom burden and management between non-hospitalised and hospitalised individuals as systematically assessed and managed in a dedicated post-COVID service. Added value of this studyFor the first time, we report the baseline characteristics, investigation and outcomes of initial assessment of all eligible patients in a dedicated multi-professional post-COVID service, including 547 post-hospitalisation, 566 non-hospitalised and 212 patients discharged from emergency department. Despite relatively low comorbidity and risk factor burden in non-hospitalised patients, we show that both non-hospitalised and hospitalised patients presenting with persistent symptoms after SARS-CoV2 infection have high rates of functional impairment, specialist referral and rehabilitation, even 6-12 months after the acute infection. These real-world data will inform models of care during and beyond the pandemic. Implications of all the available evidenceThe significant, long-lasting health and social consequences of SARS-CoV-2 infection are not confined to those who required hospitalisation. As with other long-term conditions, care of patients experiencing Long COVID or specific end-organ effects require consistent, integrated, patient-centred approaches to investigation and management. At public health and policy level, burden of post-COVID morbidity demands renewed focus on effective infection suppression for all age groups.
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BackgroundA diagnosis of MND takes an average 10-16 months from symptom onset. Early diagnosis is important to access supportive measures to maximise quality of life. The COVID-19 pandemic has caused significant delays in NHS pathways; the majority of GP appointments now occur online with subsequent delays in secondary care assessment. Given the rapid progression of MND, patients may be disproportionately affected resulting in late stage new presentations. We used Monte Carlo simulation to model the pre-COVID-19 diagnostic pathway and then introduced plausible COVID-19 delays. MethodsThe diagnostic pathway was modelled using gamma distributions of time taken: 1) from symptom onset to GP presentation, 2) for specialist referral, and 3) for diagnosis reached after neurology appointment. We incorporated branches to simulate delays: when patients did not attend their GP and when the GP consultation did not result in referral. An emergency presentation was triggered when diagnostic pathway time was within 30 days of projected median survival. Total time-to-diagnosis was calculated over 100,000 iterations. The pre-COVID-19 model was estimated using published data and the Improving MND Care Survey 2019. We estimated COVID-19 delays using published statistics. ResultsThe pre-COVID model reproduced known features of the MND diagnostic pathway, with a median time to diagnosis of 399 days and predicting 5.2% of MND patients present as undiagnosed emergencies. COVID-19 resulted in diagnostic delays from 558 days when only primary care was 25% delayed, to 915 days when both primary and secondary care were 75%. The model predicted an increase in emergency presentations ranging from 15.4%-44.5%. InterpretationsThe model suggests the COVID-19 pandemic will result in later-stage diagnoses and more emergency presentations of undiagnosed MND. Late-stage presentations may require rapid escalation to multidisciplinary care. Proactive recognition of acute and late-stage disease with altered service provision will optimise care for people with MND. FundingThis research was supported and funded by a grant from the Reta Lila Weston Trust. NS was supported by the National Institute for Health Research University College London Hospitals Biomedical Research Centre.