• Something wrong with this record ?

Expression of CD64 on neutrophils can be used to predict the severity of bloodstream infection before broad range 16S rRNA PCR

D. Stubljar, M. Skvarc,

. 2015 ; 60 (2) : 111-8. [pub] 20140926

Language English Country United States

Document type Evaluation Study, Journal Article

The aging population and increased incidence of severe bacterial infection can lead to sepsis. Interest to early identification of endangered patients and identification of pathogen do not always confirm the infection. To use biomarkers can help in early identification of infection and opportunity to start therapy timeously. All biomarkers were defined in 33 out of 96 patients. Thirty-two (97 %) patients had bacterial infection and 1 (3 %) patient had systemic inflammatory response syndrome (SIRS) without infection. PCR confirmed the infection in 27 cases and blood cultures in 8. Area under curve (AUC) for CD64 was 1.00, meanwhile other biomarkers showed 2-fold smaller AUC for positive infection. CD64 index was associated with bacterial infection (p<0.001) and could be used to confirm assessment of SIRS severity (p=0.037). As regards to our results, limited to only 33 patients, CD64 index served as a good parameter to predict bacterial infection and determine severity. The use of broad range 16S ribosomal RNA (rRNA) PCR proved to be an excellent tool to confirm bloodstream infection. The CD64 index had the highest AUC, which exceeded all the others, and could be used to predict the outcome of broad range 16S rRNA PCR from whole blood. However, C-reactive protein (CRP), procalcitonin (PCT) and sCD14 are much easier and faster to measure, but the values could be elevated in other clinical assessments.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc15036715
003      
CZ-PrNML
005      
20211105133641.0
007      
ta
008      
151120s2015 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1007/s12223-014-0346-y $2 doi
035    __
$a (PubMed)25253263
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Stubljar, David $u Faculty of Medicine, Institute of Microbiology and Immunology, Zaloska 4, Ljubljana, Slovenia, d.stubljar@gmail.com.
245    10
$a Expression of CD64 on neutrophils can be used to predict the severity of bloodstream infection before broad range 16S rRNA PCR / $c D. Stubljar, M. Skvarc,
520    9_
$a The aging population and increased incidence of severe bacterial infection can lead to sepsis. Interest to early identification of endangered patients and identification of pathogen do not always confirm the infection. To use biomarkers can help in early identification of infection and opportunity to start therapy timeously. All biomarkers were defined in 33 out of 96 patients. Thirty-two (97 %) patients had bacterial infection and 1 (3 %) patient had systemic inflammatory response syndrome (SIRS) without infection. PCR confirmed the infection in 27 cases and blood cultures in 8. Area under curve (AUC) for CD64 was 1.00, meanwhile other biomarkers showed 2-fold smaller AUC for positive infection. CD64 index was associated with bacterial infection (p<0.001) and could be used to confirm assessment of SIRS severity (p=0.037). As regards to our results, limited to only 33 patients, CD64 index served as a good parameter to predict bacterial infection and determine severity. The use of broad range 16S ribosomal RNA (rRNA) PCR proved to be an excellent tool to confirm bloodstream infection. The CD64 index had the highest AUC, which exceeded all the others, and could be used to predict the outcome of broad range 16S rRNA PCR from whole blood. However, C-reactive protein (CRP), procalcitonin (PCT) and sCD14 are much easier and faster to measure, but the values could be elevated in other clinical assessments.
650    _2
$a bakteriemie $x diagnóza $7 D016470
650    _2
$a Bacteria $x genetika $x izolace a purifikace $7 D001419
650    _2
$a biologické markery $x analýza $7 D015415
650    _2
$a DNA bakterií $x genetika $7 D004269
650    _2
$a ribozomální DNA $x chemie $x genetika $7 D004275
650    _2
$a diagnostické testy rutinní $x metody $7 D003955
650    _2
$a lidé $7 D006801
650    _2
$a neutrofily $x chemie $7 D009504
650    _2
$a polymerázová řetězová reakce $7 D016133
650    _2
$a RNA ribozomální 16S $x genetika $7 D012336
650    _2
$a ROC křivka $7 D012372
650    _2
$a receptory IgG $x analýza $7 D017452
650    12
$a stupeň závažnosti nemoci $7 D012720
655    _2
$a hodnotící studie $7 D023362
655    _2
$a časopisecké články $7 D016428
700    1_
$a Skvarc, Miha
773    0_
$w MED00011005 $t Folia microbiologica $x 1874-9356 $g Roč. 60, č. 2 (2015), s. 111-8
856    41
$u https://pubmed.ncbi.nlm.nih.gov/25253263 $y Pubmed
910    __
$a ABA008 $b online $c sign $y 4 $z 0
990    __
$a 20151120 $b ABA008
991    __
$a 20211105133646 $b ABA008
999    __
$a ok $b bmc $g 1097905 $s 919902
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2015 $b 60 $c 2 $d 111-8 $e 20140926 $i 1874-9356 $m Folia microbiologica $n Folia microbiol. (Prague) $x MED00011005
LZP    __
$a Pubmed-20151120

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...