Healthcare-associated infections in high-risk neonates: Temporal trends in a national surveillance system

2021 ◽  
pp. 105394
Author(s):  
Ralciane P. Menezes ◽  
Sávia G.O. Melo ◽  
Murilo B. Oliveira ◽  
Felipe F. Silva ◽  
Priscila G.V. Alves ◽  
...  
2013 ◽  
Vol 58 (4) ◽  
Author(s):  
Rusłan Sałamatin ◽  
Tamara Pavlikovska ◽  
Olga Sagach ◽  
Svitlana Nikolayenko ◽  
Vadim Kornyushin ◽  
...  

AbstractThe filarial nematode Dirofilaria repens is currently considered to be one of the most extensively spreading human and animal parasites in Europe. In Ukraine, reporting cases of dirofilariasis has been mandatory since 1975, and the disease was included in the national surveillance system for notifiable diseases. Up until December 31st 2012, a total of 1533 cases have been registered, with 1465 cases occurring within the previous 16 years. Most of the cases of dirofilariasis were registered in 6 regions: Kyiv, and the Donetsk, Zaporizhzhya, Dnipropetrovsk, Kherson and Chernihiv oblasts. In the years 1997–2002 the highest incidence rate was noted in the Kherson oblast in the south of the country (9.79 per 100 000 people), and the lowest in western Ukraine (0.07–1.68 per 100 000 people). D. repens infections were registered in all oblasts. Parasitic lesions were most often located in the head, the subconjunctival tissue and around the eyes. D. repens lesions were also found in the limbs, torso, male sexual organs, and female mammary glands. Dirofilariasis was diagnosed in persons aged from 11 months to 90 years old, most often among people between 21–40 years of age. Most patients had only one parasitic skin lesion; the majority of isolated nematodes were female. The results of our analysis point to a constant increase in D. repens dirofilariasis incidence in humans in Ukraine. Despite educational efforts, infections have become more frequent and the territory in which the disease occurs has enlarged to encompass the whole of Ukraine. Nevertheless, the Ukrainian sanitary-epidemiological services managed to achieve some measure of success, e.g. by creating a registration system for D. repens infections and establishing proper diagnostics for the disease.


2018 ◽  
Vol 5 (suppl_1) ◽  
pp. S629-S629
Author(s):  
Niccolo Buetti ◽  
Andrew Atkinson ◽  
Nicolas Troillet ◽  
Marie-Christine Eisenring ◽  
Marcel Zwahlen ◽  
...  

2018 ◽  
Vol 93 (6) ◽  
Author(s):  
Marilyn J. Manco‐Johnson ◽  
Vanessa R. Byams ◽  
Michael Recht ◽  
Becky Dudley ◽  
Brandi Dupervil ◽  
...  

2020 ◽  
Vol 189 (4) ◽  
pp. 1507-1514
Author(s):  
Melissa Brady ◽  
Adam Shanley ◽  
Caroline Hurley ◽  
Kate O’Donnell ◽  
Maitiu O’Tuathail ◽  
...  

2020 ◽  
Vol 76 (1) ◽  
pp. 226-232
Author(s):  
Jonathan Roux ◽  
Narimane Nekkab ◽  
Mélanie Colomb-Cotinat ◽  
Pascal Astagneau ◽  
Pascal Crépey

Abstract Background Carbapenemase-producing Enterobacteriaceae (CPE) cause resistant healthcare-associated infections that jeopardize healthcare systems and patient safety worldwide. The number of CPE episodes has been increasing in France since 2009, but the dynamics are still poorly understood. Objectives To use time-series modelling to describe the dynamics of CPE episodes from August 2010 to December 2016 and to forecast the evolution of CPE episodes for the 2017–20 period. Methods We used time series to analyse CPE episodes from August 2010 to November 2016 reported to the French national surveillance system. The impact of seasonality was quantified using seasonal-to-irregular ratios. Seven time-series models and three ensemble stacking models (average, convex and linear stacking) were assessed and compared with forecast CPE episodes during 2017–20. Results During 2010–16, 3559 CPE episodes were observed in France. Compared with the average yearly trend, we observed a 30% increase in the number of CPE episodes in the autumn. We noticed a 1 month lagged seasonality of non-imported episodes compared with imported episodes. Average stacking gave the best forecasts and predicted an increase during 2017–20 with a peak up to 345 CPE episodes (95% prediction interval = 124–1158, 80% prediction interval = 171–742) in September 2020. Conclusions The observed seasonality of CPE episodes sheds light on potential factors associated with the increased frequency of episodes, which need further investigation. Our model predicts that the number of CPE episodes will continue to rise in the coming years in France, mainly due to local dissemination, associated with bacterial carriage by patients in the community, which is becoming an immediate challenge with regard to outbreak control.


Sign in / Sign up

Export Citation Format

Share Document