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Since the start of the pandemic, over 400 million COVID-19 swab tests have been conducted in the UK with a non-trivial number associated with skull base injury. Given the continuing use of nasopharyngeal swabs, further cases of swab-associated skull base injury are anticipated. We describe a 54-year-old woman presenting with persistent colourless nasal discharge for 2 weeks following a traumatic COVID-19 nasopharyngeal swab. A ß2-transferrin test confirmed cerebrospinal fluid (CSF) rhinorrhoea and a high-resolution sinus computed tomography (CT) scan demonstrated a cribriform plate defect. Magnetic resonance imaging showed radiological features of idiopathic intracranial hypertension (IIH): a Yuh grade V empty sella and thinned anterior skull base. Twenty-four hour intracranial pressure (ICP) monitoring confirmed raised pressures, prompting insertion of a ventriculoperitoneal shunt. The patient underwent CT cisternography and endoscopic transnasal repair of the skull base defect using a fluorescein adjuvant, without complications. A systematic search was performed to identify cases of COVID-19 swab-related injury. Eight cases were obtained, of which three presented with a history of IIH. Two cases were complicated by meningitis and were managed conservatively, whereas six required endoscopic skull base repair and one had a ventriculoperitoneal shunt inserted. A low threshold for high-resolution CT scanning is suggested for patients presenting with rhinorrhoea following a nasopharyngeal swab. The literature review suggests an underlying association between IIH, CSF rhinorrhoea and swab-related skull base injury. We highlight a comprehensive management pathway for these patients, including high-resolution CT with cisternography, ICP monitoring, shunt and fluorescein-based endoscopic repair to achieve the best standard of care.
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Introduction: Implantable telemetric intracranial pressure sensors (telesensors) enable routine, non-invasive ICP feedback which can assist with clinical decision-making and attribution of pressure-related symptoms in patients with CSF shunt systems. Here, we aim to characterise telesensor cost-effectiveness and impact on service demand. Method(s): A single-centre, retrospective, cohort study and costeffectiveness analysis of 80 patients (78% Female;30% IIH, 22% Chiari malformation, 48% other) with MScio (Christoph Miethke) telemetric ICP monitors. Service demand in the two years before and after implantation were retrieved from the centre's electronic patient record system. Intentionally, data did not overlap with the COVID-19 pandemic period. The frequencies of hydrocephalusrelated neurosurgical admissions, outpatient clinics, and scans were recorded along with A&E, neurology, and ophthalmology encounters. Tariffs were used to compare expenditure before and after implantation. Result(s): Significant reductions were seen in the frequencies of neurosurgical admissions (1.9/year to 0.6;p < 0.001), ICP monitoring (0.4 to 0.01;p < 0.001), and CT scans (0.5 to 0.3;p = 0.013) following implantation. There were also significant reductions in the proportion of patients requiring admissions (91% to 45%;p < 0.001) and ICP monitoring (30% to 3%;p < 0.001). There were non-significant reductions in other invasive procedures, neurology encounters, and A&E admissions. Overall, there was a 341 (SD = 1069) per patient per year saving (22% reduction in included costs). Conclusion(s): From an institutional perspective, the implantation of telesensors contributes to a reduction in service demand and a net financial saving. From a patient perspective, fewer appointments, invasive procedures, and radiation exposures suggest an improvement in patient experience and safety.
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INTRODUCTION: COVID-19 has disrupted the global health care system since March 2020. Lung cancer (LC) patients (pts) represent a vulnerable population highly affected by the pandemic. This multicenter Italian study aimed to evaluate whether the COVID-19 outbreak had an impact on access to cancer diagnosis and treatment of LC pts compared with pre-pandemic time. METHODS: Consecutive newly diagnosed LC pts referred to 25 Italian Oncology Departments between March and December 2020 were included. Access rate and temporal intervals between date of symptoms onset and diagnostic and therapeutic services were compared with the same period in 2019. Differences between the 2 years were analyzed using the chi-square test for categorical variables and the Mann-Whitney U test for continuous variables. RESULTS: A slight reduction (-6.9%) in newly diagnosed LC cases was observed in 2020 compared with 2019 (1523 versus 1637, P = 0.09). Newly diagnosed LC pts in 2020 were more likely to be diagnosed with stage IV disease (P < 0.01) and to be current smokers (someone who has smoked more than 100 cigarettes, including hand-rolled cigarettes, cigars, cigarillos, in their lifetime and has smoked in the last 28 days) (P < 0.01). The drop in terms of new diagnoses was greater in the lockdown period (percentage drop -12% versus -3.2%) compared with the other months included. More LC pts were referred to a low/medium volume hospital in 2020 compared with 2019 (P = 0.01). No differences emerged in terms of interval between symptoms onset and radiological diagnosis (P = 0.94), symptoms onset and cytohistological diagnosis (P = 0.92), symptoms onset and treatment start (P = 0.40), and treatment start and first radiological revaluation (P = 0.36). CONCLUSIONS: Our study pointed out a reduction of new diagnoses with a shift towards higher stage at diagnosis for LC pts in 2020. Despite this, the measures adopted by Italian Oncology Departments ensured the maintenance of the diagnostic-therapeutic pathways of LC pts.
Subject(s)
COVID-19 , Lung Neoplasms , Communicable Disease Control , Humans , Italy/epidemiology , Lung Neoplasms/diagnosis , Lung Neoplasms/epidemiology , Lung Neoplasms/therapy , PandemicsABSTRACT
The dynamics of COVID-19 is investigated with regard to complex contributions of the omitted factors. For this purpose, we use a fractional order SEIR model which allows us to calculate the number of infections considering the chaotic contributions into susceptible, exposed, infectious and removed number of individuals. We check our model on Wuhan, China-2019 and South Korea underlying the importance of the chaotic contribution, and then we extend it to Italy and the USA. Results are of great guiding significance to promote evidence-based decisions and policy.
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BACKGROUND AND PURPOSE: Our hypothesis is that the COVID-19 pandemic led to delayed presentations for patients with acute ischemic stroke. This study evaluates the impact of the coronavirus disease 2019 pandemic on presentation, treatment, and outcomes of patients with emergent large-vessel occlusion using data from a large health system in the Bronx, New York. MATERIALS AND METHODS: We performed a retrospective cohort study of 2 cohorts of consecutive patients with emergent large-vessel occlusion admitted to 3 Montefiore Health System hospitals in the Bronx from January 1 to February 17, 2020, (prepandemic) and March 1 to April 17, 2020 (pandemic). We abstracted data from the electronic health records on presenting biomarker profiles, admission and postprocedural NIHSS scores, time of symptom onset, time of hospital presentation, time of start of the thrombectomy procedure, time of revascularization, presenting ASPECTS, TICI recanalization score, mRS, functional outcomes, and mortality. RESULTS: Of 179 patients admitted with ischemic stroke during the study periods, 80 had emergent large-vessel occlusion, of whom 36 were in the pandemic group. Patients in the pandemic group were younger (66 versus 72 years, P < .061) and had lower ASPECTS (7 versus 9, P < .001) and took longer to arrive at the hospital (361 versus 152 minutes, P < .004) with no other major differences. There was a decreased rate of thrombolysis administration (22% versus 43%, P < .049) and a decreased number of patients treated with mechanical thrombectomy (33% versus 61%, P < .013). CONCLUSIONS: The pandemic led to delays in patients arriving at hospitals, leading to decreased patients eligible for treatment, while in-hospital evaluation and treatment times remain unchanged.