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COMPREHENSIVE SURVEILLANCE OF PNEUMONIA IN CHILDREN IN INTENSIVE THERAPY SETTING (ID 273)

Session Name
Population Sciences - Epidemics, Outbreaks and Special Settings

Abstract

Background

Pneumonia is a fairly common childhood condition, affecting 150 to 156 million children under the age of 5 each year.

Methods

The study included disc diffusion method, according to the NCCLS recommendations, evaluated the sensitivity of nosocomial pneumonia pathogens in 120 children in Tashkent Medical Academy. Sputum and material obtained during bronchoscopy were examined.

Results

The etiology of pneumonia was associated with Klebsiella and Acinetobacter spp. (8.6%), Enterobacteriaceae (22.4%), Staphylococcus (11.9%), Streptococcus pneumoniae (12%) and the polymicrobial association of staphylococci or S. pneumoniae with various representatives of enterobacteria (30.2%). In 40 patients (33.4%) a microorganism was isolated that was different from what was determined upon admission. In an equal proportion of cases, there was a change in Staphylococcus spp., representatives of Enterobacteriaceae and Pseudomonas aeruginosa in 24 patients, Acinetobacter spp. in 4 patients. Staying in the intensive care unit for more than 8 days contributed to the colonization of highly resistant microflora in 22 patients (19%) - P. aeruginosa in 12 and Acinetobacter spp. in 15 cases

Conclusions

Thus, it is necessary to establish standards for the treatment of nosocomial pneumonia, as well as bacteriological monitoring for the timely correction of ineffective therapy

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Streptococcus pneumoniae serotype 12F distribution among invasive diseases in the last decade in the Basque Country (ID 442)

Session Name
Population Sciences - Epidemics, Outbreaks and Special Settings

TITLE: MANAGING CHALLENGES OF SERVICE DELIVERY FOR CHILDHOOD PNEUMONIA IN KENYA (ID 686)

Session Name
Population Sciences - Epidemics, Outbreaks and Special Settings

PNEUMOCOCCAL CARRIAGE AMONG GUINEA PIGS RAISED AS LIVESTOCK IN ECUADOR: A NEW ZOONOTIC RESERVOIR. (ID 1232)

MOLECULAR EPIDEMIOLOGY OF SEROTYPE 12F CONNECTED TO AN INVASIVE PNEUMOCOCCAL DISEASE (IPD) OUTBREAK AT A SHIPYARD IN FINLAND, 2019 (ID 461)

Session Name
Population Sciences - Epidemics, Outbreaks and Special Settings

Abstract

Background

In May-November 2019, an IPD outbreak, with 37 confirmed or probable cases, occurred at a shipyard in Southwest Finland. Three serotypes (12F, 4, 8) were connected with the outbreak. We investigated the molecular epidemiology of serotype 12F IPD isolates in Finland, 2018-2019.

Methods

All available serotype 12F IPD isolates (n=25) from 2018-2019 were compared by multilocus sequence typing (MLST), core genome MLST through Ridom SeqSphere+ and single nucleotide polymorphisms (SNPs) called through CSI Phylogeny 1.4 using TIGR4 as a reference.

Results

The outbreak isolates (n=14) were sequence type (ST) 6202 and clustered together in both cgMLST and SNP based analysis (Figure) with a secondary case (n=1) and other cases (n=3) diagnosed in two regions following the start of the outbreak. This strain was not identified in IPD before that. Earlier serotype 12F IPD isolates were ST989 (n=4) or ST218 (n=3). Serotyping of all Finnish IPD isolates from 2019 will be completed and any 12F isolates included in the final analysis for the presentation.

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Conclusions

The serotype 12F IPD strain connected with the shipyard outbreak in 2019 was not identified in IPD in Finland in 2018 and may represent the introduction of a new strain. Further molecular investigation of this clone is warranted.

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GENOMIC CLUSTERS OF INVASIVE PNEUMOCOCCAL DISEASE (IPD) ISOLATES, USA, 2015-2017 (ID 833)

Abstract

Background

Outbreaks of pneumococcal infections have been reported in closed settings and are often caused by clusters of genomically highly related isolates (genomic clusters), suggesting close transmission connections.

Methods

We used whole-genome sequencing (WGS) to characterize all IPD isolates identified through the Active Bacterial Core surveillance (ABCs) from 2015 to 2017. We identified genomic clusters by performing hierarchical cluster analysis of pair-wise genomic distances and applying a cut-off value of 3-base difference per 1.8Mb shared genome.

Results

WGS characterized 8029 isolates representing 87% of all IPD cases. The cluster analysis identified 379 genomic clusters accounting for 847 (11%) of the isolates. Higher proportions of clustered isolates (isolates belonging to any clusters) were found in serotypes 12F (36%), 4 (26%), and 7F (25%), while lower proportions were found in serotypes 35F, 7C, 15A, 23B (each <1.5%), and penicillin non-susceptible isolates (4%). Clustered isolates were significantly associated with patients who were homeless (OR=3.3), who were injecting drugs (OR=2.1), and who were 25 to 50 years of age (OR=1.5; all p-values < 0.001).

Conclusions

IPD genomic clusters were associated with specific patient and strain features in the ABCs population. Understanding the dynamics and demographics of vaccine-serotype clusters could help identify new target groups to inform vaccine policy.

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