Literature DB >> 28389880

Role of climate in the spread of shiga toxin-producing Escherichia coli infection among children.

Fiorella Acquaotta1,2, Gianluigi Ardissino3, Simona Fratianni4,5, Michela Perrone3.   

Abstract

Haemolytic-uraemic syndrome (HUS) is a rare disease mainly affecting children that develops as a complication of shiga toxin-producing Escherichia coli (STEC) infection. It is characterised by acute kidney injury, platelet consumption and mechanical destruction of red blood cells (haemolysis). In order to test the working hypothesis that the spread of the infection is influenced by specific climatic conditions, we analysed all of the identified cases of infection occurring between June 2010 and December 2013 in four provinces of Lombardy, Italy (Milano, Monza Brianza, Varese and Brescia), in which a STEC surveillance system has been developed as part of a preventive programme. In the selected provinces, we recorded in few days a great number of cases and clusters which are unrelated for spatially distant or for the disease are caused by different STEC serotypes. In order to investigate a common factor that favoured the onset of infection, we have analysed in detail the weather conditions of the areas. The daily series of temperature, rain and relative humidity were studied to show the common climate peculiarities whilst the correlation coefficient and the principal component analysis (PCA) were used to point out the meteorological variable, maximum temperature, as the principal climate element in the onset of the infection. The use of distributed lag non-linear models (DLNM) and the climate indices characterising heat waves (HWs) has allowed to identify the weather conditions associated with STEC infection. The study highlighted a close temporal correlation between STEC infection in children and the number, duration and frequency of heat waves. In particular, if the maximum temperature is greater than 90th percentile, days classified as very hot, for 3 or more consecutive days, the risk of infection is increasing.

Entities:  

Keywords:  Children; Epidemiology; Haemolytic-uraemic syndrome; Temperature; Weather conditions

Mesh:

Year:  2017        PMID: 28389880     DOI: 10.1007/s00484-017-1344-y

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  13 in total

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3.  Seasonality and other epidemiological features of haemolytic uraemic syndrome and E. coli O157 isolates in Scotland.

Authors:  A S Douglas; A Kurien
Journal:  Scott Med J       Date:  1997-12       Impact factor: 0.729

4.  Distributed lag non-linear models.

Authors:  A Gasparrini; B Armstrong; M G Kenward
Journal:  Stat Med       Date:  2010-09-20       Impact factor: 2.373

5.  Translocated intimin receptors (Tir) of Shiga-toxigenic Escherichia coli isolates belonging to serogroups O26, O111, and O157 react with sera from patients with hemolytic-uremic syndrome and exhibit marked sequence heterogeneity.

Authors:  A W Paton; P A Manning; M C Woodrow; J C Paton
Journal:  Infect Immun       Date:  1998-11       Impact factor: 3.441

6.  Co-infection in children with bloody diarrhea caused by Shiga toxin-producing Escherichia coli: data of the North Italian HUS Network.

Authors:  Gianluigi Ardissino; Ilaria Possenti; Stefania Salardi; Francesca Tel; Elisa Colombo; Sara Testa; Laura Daprai; Damiano Picicco; Rosaria Maria Colombo; Erminio Torresani
Journal:  J Pediatr Gastroenterol Nutr       Date:  2014-08       Impact factor: 2.839

7.  Epidemiology of haemolytic uremic syndrome in children. Data from the North Italian HUS network.

Authors:  Gianluigi Ardissino; Stefania Salardi; Elisa Colombo; Sara Testa; Nicolò Borsa-Ghiringhelli; Fabio Paglialonga; Valentina Paracchini; Francesca Tel; Ilaria Possenti; Mirco Belingheri; Cristina Felice Civitillo; Stefano Sardini; Rossella Ceruti; Carlo Baldioli; Paola Tommasi; Luciana Parola; Fiorella Russo; Silvana Tedeschi
Journal:  Eur J Pediatr       Date:  2015-10-24       Impact factor: 3.183

8.  Assessing weather effects on dengue disease in Malaysia.

Authors:  Yoon Ling Cheong; Katrin Burkart; Pedro J Leitão; Tobia Lakes
Journal:  Int J Environ Res Public Health       Date:  2013-11-26       Impact factor: 3.390

9.  Modeling exposure-lag-response associations with distributed lag non-linear models.

Authors:  Antonio Gasparrini
Journal:  Stat Med       Date:  2013-09-12       Impact factor: 2.373

10.  The effects of ambient temperature on cerebrovascular mortality: an epidemiologic study in four climatic zones in China.

Authors:  Yanshen Zhang; Shanshan Li; Xiaochuan Pan; Shilu Tong; Jouni Jk Jaakkola; Antonio Gasparrini; Yuming Guo; Sheng Wang
Journal:  Environ Health       Date:  2014-04-01       Impact factor: 5.984

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