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COVID-19 is currently causing high mortality and morbidity worldwide. Information on cardiac injury is scarce. We aimed to evaluate cardiovascular damage in patients with COVID-19 and determine the correlation of high-sensitivity cardiac-specific troponin T (hs-cTnT) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) with the severity of COVID-19.

We included 872 consecutive patients with confirmed COVID-19 from February to April 2020. We tested 651 patients for high-sensitivity troponin T (hs-TnT) and 506 for NT-proBNP on admission. Cardiac injury was defined as hs-TnT > 14ng/L, the upper 99th percentile. Levels of NT-proBNP > 300 pg/mL were considered related to some extent of cardiac injury. The primary composite endpoint was 30-day mortality or mechanical ventilation (MV).

Cardiac injury by hs-TnT was observed in 34.6% of our COVID-19 patients. Mortality or MV were higher in cardiac injury than noncardiac injury patients (39.1% vs 9.1%). Hs-TnT and NT-proBNP levels were independent predictors of death or MV (HR, 2.18; 95%CI, 1.23-3.83 and 1.87 (95%CI, 1.05-3.36), respectively) and of mortality alone (HR, 2.91; 95%CI, 1.211-7.04 and 5.47; 95%CI, 2.10-14.26, respectively). NT-ProBNP significantly improved the troponin model discrimination of mortality or MV (C-index 0.83 to 0.84), and of mortality alone (C-index 0.85 to 0.87).

Myocardial injury measured at admission was a common finding in patients with COVID-19. It reliably predicted the occurrence of mortality and need of MV, the most severe complications of the disease. NT-proBNP improved the prognostic accuracy of hs-TnT.

Myocardial injury measured at admission was a common finding in patients with COVID-19. compound library chemical It reliably predicted the occurrence of mortality and need of MV, the most severe complications of the disease. NT-proBNP improved the prognostic accuracy of hs-TnT.The outbreak of the Coronavirus during the first months of 2020 completely reshaped urban lives because of the need to limit the spread of the disease and ensure essential services to the most vulnerable city users, such as elderly people. The urban population in European is ageing at unprecedented rate; at the same time, ageing is associated with increased vulnerability and dependence on medical care services. Age-friendly approaches are consequently necessary in urban planning strategies to ensure equal accessibility to essential services, not least in view of coronavirus pandemic. This article aims at defining a methodology for measuring urban accessibility to healthcare services as indicative of quality of life for the elderly within the city of Milan - affected by Covid - both in ordinary working scenarios and during the pandemic. The outputs show that entire neighbourhoods' elderly populations suffer from very poor accessibility to primary health services, especially in the city suburbs, and their condition deteriorates even more because of limited services and activities. The methodology would be effective to suggest policy recommendations to distribution of public services in urban areas and to reduce the potential effects of the Covid-19 pandemic on old people's health and quality of life.This article explores the effectiveness of gamma rays attenuation of various N95 respirator samples by analysing several theoretical parameters such as the Effective Atomic Numbers (Zeff), Half Value Layer (HVL), Mean Free Path (MFP), Mass Attenuation Coefficients (MAC), Tenth Value Layer (TVL), Exposure Build Up Factors (EBF) and Energy Absorption Build Up Factors (EABF). For the selected N95 mask samples, the MAC values corresponding to the energy levels between 0.015 and 20 MeV are measured using the WinXCOM software and the MATLAB code. The parameters including Zeff, TVL, HVL, and MFP are computed using the MAC values derived from the WinXCOM program. EBF and EABF are computed in relation to the penetration depth and incident photon energy by using the (G-P) fitting approximation in estimating the photon build-up factor. The findings showed that having the lowest TVL, HVL, and MFP, the N2 sample has the best output in terms of radiation attenuation purposes. In conclusion, the N2 sample which outperforms other samples is the most promising mask sample when it comes to gamma-ray attenuation features.The collapse of economic activity in 2020 from COVID-19 has been immense. An important question is how much of that collapse resulted from government-imposed restrictions versus people voluntarily choosing to stay home to avoid infection. This paper examines the drivers of the economic slowdown using cellular phone records data on customer visits to more than 2.25 million individual businesses across 110 different industries. Comparing consumer behavior over the crisis within the same commuting zones but across state and county boundaries with different policy regimes suggests that legal shutdown orders account for only a modest share of the massive changes to consumer behavior (and that tracking county-level policy conditions is significantly more accurate than using state-level policies alone). While overall consumer traffic fell by 60 percentage points, legal restrictions explain only 7 percentage points of this. Individual choices were far more important and seem tied to fears of infection. Traffic started dropping before the legal orders were in place; was highly influenced by the number of COVID deaths reported in the county; and showed a clear shift by consumers away from busier, more crowded stores toward smaller, less busy stores in the same industry. States that repealed their shutdown orders saw symmetric, modest recoveries in consumer visits, further supporting the small estimated effect of policy. Although the shutdown orders had little aggregate impact, they did have a significant effect in reallocating consumer visits away from "nonessential" to "essential" businesses and from restaurants and bars toward groceries and other food sellers.[This corrects the article DOI 10.1055/a-1286-2917.].Mathematical models are useful in epidemiology to understand COVID-19 contagion dynamics. We aim to demonstrate the effectiveness of parameter regression methods to calibrate an established epidemiological model describing infection rates subject to active, varying non-pharmaceutical interventions (NPIs). We assess the potential of established chemical engineering modelling principles and practice applied to epidemiological systems. We exploit the sophisticated parameter regression functionality of a commercial chemical engineering simulator with piecewise continuous integration, event and discontinuity management. We develop a strategy for calibrating and validating a model. Our results using historic data from 4 countries provide insights into on-going disease suppression measures, while visualisation of reported data provides up-to-date condition monitoring of the pandemic status. The effective reproduction number response to NPIs is non-linear with variable response rate, magnitude and direction. Our purpose is developing a methodology without presenting a fully optimised model, or attempting to predict future course of the COVID-19 pandemic.Epidermodysplasia verruciformis (EV) is a rare genodermatosis characterized by abnormal susceptibility to infection with b-genotype human papillomavirus (HPV) and a particular propensity to develop cutaneous malignancies. Clinical manifestations include flat, scaly, reddish hypo- and hyperpigmented macules, verruca-like papillomatous lesions, seborrheic keratosis- like lesions, and pink-red pityriasis versicolor-like lesions1.La irrigación cardiaca normal viene dada por el origen de las arterias coronarias derecha e izquierda a nivel de los senos coronarianos derecho e izquierdo; sin embargo, pueden presentarse modificaciones de la anatomía descrita, algunas de las cuales corresponden a variantes inocuas, mientras que otras pueden asociarse con alto riesgo de morbimortalidad1,2.Objetivo Evaluar el impacto del aislamiento social, preventivo y obligatorio sobre al aumento de peso, el nivel de actividad física, la adherencia al tratamiento y la inmunización antigripal y antineumocócica en pacientes con diabetes tipo 2 (DM2). Método Se realizó un seguimiento telefónico de pacientes con DM2 luego de al menos 100 días de comienzo del aislamiento. Se compararon dos regiones agrupadas en relación con el número de casos región 1, más de 150 casos/100, 000 habitantes, y región 2, más de 150 casos/100,000 habitantes. Resultados Se contactaron 454 pacientes con DM2. El 42% reportaron incremento de peso y el 7% refirió haber aumentado más de 5 kg. En relación con la actividad física, se observó un promedio más bajo en la región 1 (367.5 [0-5698] MET/sem) que en la región 2 (720 [0-7066] MET/sem) (p = 0.0009). La adherencia al tratamiento farmacológico disminuyó en forma global, pero aumentó en las zonas de mayor circulación viral. Por otra parte, hubo un incremento de vacunación antigripal y antineumocócica, alcanzando coberturas del 80% y el 70%, respectivamente. Conclusiones En una población de alto riesgo cardiovascular y con una prevalencia de sobrepeso/obesidad elevada, el aislamiento social, preventivo y obligatorio se asoció con ganancia de peso y menos actividad física, lo que podría resultar deletéreo sobre la salud cardiovascular de los pacientes con DM2. Por otro lado, se observan algunos aspectos positivos, como el aumento de las inmunizaciones y el incremento de la adherencia en las zonas más afectadas.Las enfermedades cardiovasculares y cerebrovasculares ocupan los primeros lugares de morbimortalidad en México y el mundo. El sistema nervioso y el sistema cardiovascular comparten una red intrínseca de mecanismos fisiológicos y patológicos que competen al neurólogo y al cardiólogo.

The biomarker for left ventricular hypertrophy (LVH) in patients with essential hypertension (EH) remains an unmet clinical need. The microRNA-30 (miR-30) family has been associated with LVH in cellular and animal studies, but not in a clinical setting.

The objective of the study was to investigate the clinical significance of circulating levels of miR-30 family as a biomarker for LVH in EH patients.

A total of 239 EH patients and 239 healthy controls were enrolled in this study. Circulating levels of miR-30 family members, namely, miR-30a, miR-30b, miR-30c-1, miR-30c-2, miR- 30d, and miR-30e, were evaluated using real-time polymerase chain reaction assays.

The circulating miR-30a, miR-30b, and miR-30e were significantly reduced in EH patients in contrast to controls. EH patients with LVH (EH-LVH) had substantially lower circulating miR-30b and miR-30e levels compared to EH patients without LVH (EH-nLVH). Moreover, the expression levels of miR-30b and miR-30e were positively related to LVMI, respectively. Receiver operating curve analysis showed that circulating miR-30e levels distinguished EH patients from controls, and EH-LVH from EH-nLVH patients. Logistic regression analysis identified the circulating miR-30e as a risk factor for LVH in EH patients.

Circulating miR-30e level can be used as a biomarker in distinguishing EH-LVH from EH-nLVH. A further prospective study is warranted to validate this finding.

Circulating miR-30e level can be used as a biomarker in distinguishing EH-LVH from EH-nLVH. A further prospective study is warranted to validate this finding.

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