Erratum to "Measles outbreaks - potential threat for health care professionals" Infect Prev Pract, Volume 2, Issue 3, September 2020, 100074.

[This corrects the article DOI: 10.1016/j.infpip.2020.100074.].

Myocardial function in COVID-19 patients after hospital discharge: a descriptive study comparing the first and second 'wave' patients.

In hospitalized COVID-19 patients, myocardial injury and echocardiographic abnormalities have been described. The present study investigates cardiac function in COVID-19 patients 6 weeks post-discharge and evaluates its relation to New York Heart Association (NYHA) class. Furthermore cardiac function post-discharge between the first and second wave COVID-19 patients was compared. We evaluated 146 patients at the outpatient clinic of the Leiden University Medical Centre. NYHA class of II or higher was reported by 53% of patients. Transthoracic echocardiography was used to assess cardiac function. Overall, in 27% of patients reduced left ventricular (LV) ejection fraction was observed and in 29% of patients LV global longitudinal strain was impaired (> - 16%). However no differences were observed in these parameters reflecting LV function between the first and second wave patients. Right ventricular (RV) dysfunction as assessed by tricuspid annular systolic planar excursion (< 17 mm) was present in 14% of patients, this was also not different between the first and second wave patients (15% vs. 12%; p = 0.63); similar results were found for RV fraction area change and RV strain. Reduced LV and RV function were not associated with NYHA class. In COVID-19 patients at 6 weeks post-discharge, mild abnormalities in cardiac function were found. However these were not related to NYHA class and there was no difference in cardiac function between the first and second wave patients. Long term symptoms post-COVID might therefore not be explained by mildly abnormal cardiac function.

Short-term outpatient follow-up of COVID-19 patients: A multidisciplinary approach.

BACKGROUND: Short-term follow-up of COVID-19 patients reveals pulmonary dysfunction, myocardial damage and severe psychological distress. Little is known of the burden of these sequelae, and there are no clear recommendations for follow-up of COVID-19 patients.In this multi-disciplinary evaluation, cardiopulmonary function and psychological impairment after hospitalization for COVID-19 are mapped. METHODS: We evaluated patients at our outpatient clinic 6 weeks after discharge. Cardiopulmonary function was measured by echocardiography, 24-hours ECG monitoring and pulmonary function testing. Psychological adjustment was measured using questionnaires and semi-structured clinical interviews. A comparison was made between patients admitted to the general ward and Intensive care unit (ICU), and between patients with a high versus low functional status. FINDINGS: Eighty-one patients were included of whom 34 (41%) had been admitted to the ICU. New York Heart Association class II-III was present in 62% of the patients. Left ventricular function was normal in 78% of patients. ICU patients had a lower diffusion capacity (mean difference 12,5% P = 0.01), lower forced expiratory volume in one second and forced vital capacity (mean difference 14.9%; P<0.001; 15.4%; P<0.001; respectively). Risk of depression, anxiety and PTSD were 17%, 5% and 10% respectively and similar for both ICU and non-ICU patients. INTERPRETATION: Overall, most patients suffered from functional limitations. Dyspnea on exertion was most frequently reported, possibly related to decreased DLCOc. This could be caused by pulmonary fibrosis, which should be investigated in long-term follow-up. In addition, mechanical ventilation, deconditioning, or pulmonary embolism may play an important role.

Severe acute respiratory infections surveillance for early signals in the community.

BACKGROUND: Surveillance of acute respiratory infections (ARI) in the Netherlands and other European countries is based mostly on primary care data, with little insight into the severe spectrum of the disease. We compared time-trends for ARI in secondary care with influenza-like illness (ILI), ARI and pneumonia in primary care, and crude mortality, in order to assess the value of routinely collected data on respiratory infections in hospitals and the added value of severe acute respiratory infections (SARI) surveillance. METHODS: We calculated incidence of ARI in secondary care, ILI, ARI, and pneumonia in primary care, and crude mortality using five historical databases (2008-2016). RESULTS: Over eight years, seasonal incidence peaks of ARI in secondary care occurred earlier than ILI and ARI incidence peaks in primary care, except during the 2009 influenza A(H1N1) pandemic and post-pandemic season. The median time-lag between ARI in secondary care and ILI, ARI and pneumonia in primary care was 6.5 weeks, 7 weeks, and 1 week, respectively. Crude mortality lagged a median 5 weeks behind ARI in secondary care. CONCLUSION: This observational study demonstrates that routinely collected data can be used for describing trends of ARI in secondary care and may be suitable for near real-time SARI surveillance. In most seasons, the incidence peaks for ARI in secondary care preceded the peaks in primary care and crude mortality with a considerable time-lag. It would be of great value to add microbiological test results to the incidence data to better explain the difference in time-lag between these surveillance systems.

Measles outbreaks - potential threat for health care professionals.

The ongoing spread of measles is a major concern for public health. Optimal vaccination coverage amongst health care professionals (HCP) is essential for individual protection. This is illustrated by our two cases of measles infection in HCP during the 2018 outbreak in Europe. We developed a questionnaire to assess protection against measles amongst HCP working in acute care of a tertiary hospital in The Netherlands. In total, 29% of these professionals were not protected against measles. During current worldwide measles outbreaks, it is paramount for employee health protection, patient protection and disease control to register and optimize employees' immunity.

Prediction model for pneumonia in primary care patients with an acute respiratory tract infection: role of symptoms, signs, and biomarkers.

BACKGROUND: Diagnosing pneumonia can be challenging in general practice but is essential to distinguish from other respiratory tract infections because of treatment choice and outcome prediction. We determined predictive signs, symptoms and biomarkers for the presence of pneumonia in patients with acute respiratory tract infection in primary care. METHODS: From March 2012 until May 2016 we did a prospective observational cohort study in three radiology departments in the Leiden-The Hague area, The Netherlands. From adult patients we collected clinical characteristics and biomarkers, chest X ray results and outcome. To assess the predictive value of C-reactive protein (CRP), procalcitonin and midregional pro-adrenomedullin for pneumonia, univariate and multivariate binary logistic regression were used to determine risk factors and to develop a prediction model. RESULTS: Two hundred forty-nine patients were included of whom 30 (12%) displayed a consolidation on chest X ray. Absence of runny nose and whether or not a patient felt ill were independent predictors for pneumonia. CRP predicts pneumonia better than the other biomarkers but adding CRP to the clinical model did not improve classification (- 4%); however, CRP helped guidance of the decision which patients should be given antibiotics. CONCLUSIONS: Adding CRP measurements to a clinical model in selected patients with an acute respiratory infection does not improve prediction of pneumonia, but does help in giving guidance on which patients to treat with antibiotics. Our findings put the use of biomarkers and chest X ray in diagnosing pneumonia and for treatment decisions into some perspective for general practitioners.