Changing epidemiology of the respiratory bacteriology of patients with cystic fibrosis-data from the European cystic fibrosis society patient registry.

Changing epidemiology of the respiratory bacteriology of patients with cystic fibrosis-data from the European cystic fibrosis society patient registry.

Hatziagorou, Elpis;Orenti, Annalisa;Drevinek, Pavel;Kashirskaya, Nataliya;Mei-Zahav, Meir;De Boeck, Kris;, ;
journal of cystic fibrosis : official journal of the european cystic fibrosis society 2019
229
hatziagorou2019changingjournal

Abstract

Monitoring changes in the epidemiology of cystic fibrosis (CF) pathogens is essential for clinical research, quality improvement, and clinical management.We analyzed data reported to the European Cystic Fibrosis Society Patient Registry (ECFSPR) from 2011 to 2016 to determine the overall and the age-specific annual prevalence and incidence of selected CF pathogens and their trends during these years. The ECFSPR collects data on three chronic infections: Pseudomonas aeruginosa (PsA), Burkholderia cepacia complex Species (BCC) and Staphylococcus aureus (SA), as well as on the occurrence of non-tuberculous mycobacteria (NTM) and Stenotrophomonas maltophilia (SM). The same analyses were performed for different country groups, according to their gross national income (GNI).The pathogens with the highest prevalence were SA and PsA, with prevalence, in 2016, equal to 38.3% and 29.8% respectively, followed by SM (8.1%). The pathogens with the lowest prevalence were NTM (3.3%) and BCC (3.1%). The overall prevalence and incidence significantly decreased for PsA; they also decreased for BCC, while they increased significantly for SA. The overall prevalence of NTM and SM increased significantly. The most considerable prevalence changes were observed for PsA, which decreased across all income country groups and all age strata (with the exception of 0-1 years) The prevalence and incidence of pathogens differed significantly according to GNI.The epidemiology of CF pathogens in Europe has changed; epidemiologic data differ significantly among countries with different socio-economic status. The causes of these observations are multifactorial and include improvements in clinical care and infection control.

Citation

ID: 39792
Ref Key: hatziagorou2019changingjournal
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
39792
Unique Identifier:
S1569-1993(19)30838-0
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet