Multidrug-resistant Streptococcus pneumoniae in Poland: identification of emerging clones.

J Clin Microbiol

Department of Pediatrics, Sophia Children's Hospital, Erasmus University Rotterdam, 3000 DR Rotterdam, The Netherlands.

Published: June 1999

Penicillin resistance among Streptococcus pneumoniae isolates has rapidly emerged in Poland during the last decade and has reached prevalence levels of up to 14.4% in 1997. In order to investigate the nature of this increase, a molecular epidemiological analysis of non-penicillin-susceptible multidrug-resistant pneumococci isolated in 1995 and 1996 was conducted. Thirty-seven patients who suffered mainly from upper respiratory tract infections and pneumococcal pneumonia were enrolled in this study. The medical centers to which the patients were admitted were located in 16 Polish towns across the country. Eight distinct BOX PCR types were observed, representing 14 subtypes. Restriction fragment end labeling (RFEL) analysis divided the pneumococcal strains into 16 distinct types. By combining the BOX PCR and RFEL data, four genetically distinct clusters of strains were identified. Two clusters represented the genetic clones 23F and 9V, which have recently emerged all over the world. The two other genetic clusters, which represented serotypes 23F and 6B, clearly predominated in the analyzed collection of Polish non-penicillin-susceptible pneumococcal strains. Since the latter clusters did not match any of the 133 RFEL types of non-penicillin-susceptible pneumococci collected in 15 other countries, their Polish clonal origin is most likely.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC84938PMC
http://dx.doi.org/10.1128/JCM.37.6.1739-1745.1999DOI Listing

Publication Analysis

Top Keywords

streptococcus pneumoniae
8
box pcr
8
pneumococcal strains
8
clusters represented
8
multidrug-resistant streptococcus
4
pneumoniae poland
4
poland identification
4
identification emerging
4
emerging clones
4
clones penicillin
4

Similar Publications

Measuring water pollution effects on antimicrobial resistance through explainable artificial intelligence.

Environ Pollut

January 2025

Università degli Studi di Bari Aldo Moro, Dipartimento Interateneo di Fisica M. Merlin, Bari, 70125, Italy; Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Bari, Bari, 70125, Italy.

Antimicrobial resistance refers to the ability of pathogens to develop resistance to drugs designed to eliminate them, making the infections they cause more difficult to treat and increasing the likelihood of disease diffusion and mortality. As such, antimicrobial resistance is considered as one of the most significant and universal challenges to both health and society, as well as the environment. In our research, we employ the explainable artificial intelligence paradigm to identify the factors that most affect the onset of antimicrobial resistance in diversified territorial contexts, which can vary widely from each other in terms of climatic, economic and social conditions.

View Article and Find Full Text PDF

Waterhouse-Friderichsen Syndrome (WFS) is a rare but life-threatening condition characterized by massive adrenal hemorrhage. WFS represents one of the features of the Overwhelming Post-Splenectomy Infection, which occurs any time after spleen removal and is recognized as the most serious complication in asplenic patients. We report a fatal case of WFS resulting from Streptococcus pneumoniae infection in a vaccinated and splenectomized patient.

View Article and Find Full Text PDF

Background: Streptococcus pneumoniae is an important cause of pneumonia, sepsis, and meningitis, which are leading causes of child mortality. Pneumococcal conjugate vaccines (PCVs) protect against disease and nasopharyngeal colonization with vaccine serotypes, reducing transmission to and among unvaccinated individuals. Mozambique introduced 10-valent PCV (PCV10) in 2013.

View Article and Find Full Text PDF

Pneumonia is a prevalent acute respiratory infection and a major cause of mortality and hospitalization, and the urgent demand for a rapid, direct, and highly accurate diagnostic method capable of detecting both () and () arises from their prominent roles as the primary pathogens responsible for pneumonia. Herein, two luminescent iridium complexes with nonoverlapping photoluminescence spectra, iridium(III)-bis [4,6-(difluorophenyl)-pyridinato-N,C'] picolinate (abbreviated as Ir-B) and bis (2-(3,5- dimethylphenyl) quinoline-C2,N') (acetylacetonato) iridium(III)) (abbreviated as Ir-R), were unprecedently proposed to construct a novel wavelength-resolved magnetic multiplex biosensor for simultaneous detection of and based on catalytic hairpin assembly (CHA) signal amplification strategy combined with dye-doped silica nanoparticles. Notably, the proposed wavelength-resolved multiplex biosensor not only exhibits a broad linear range from 50 pM to 10 nM but also demonstrates excellent recovery rates for (96.

View Article and Find Full Text PDF

In low-to-middle income countries, acute lower respiratory infection (ALRI) remains the leading infectious cause of death among infants and children under 5 years old. Case-control studies based on upper respiratory sampling have informed current understandings of ALRI etiologies; in contrast, minimally-invasive tissue sampling (MITS) offers a method of directly interrogating lower respiratory tract pathogens to establish etiologic distributions. This study performed in the post-mortem setting used MITS and a Determination of Cause of Death (DeCoDe) panel to elucidate causes of fatal pneumonia in the community in Lusaka, Zambia.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!