الفهرس 
NEONATAL SEPTICEMIA
Clinical PresentationOnly 14 pages are availabe for public view
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Abstract
Based on the information presented in this thesis, we make the
following summary:
Sepsis is a systemic response to infection manifested as
hyperthermia, tachypnea, hypothermia, tachycardia and shock. In the
neonatal period it mostly leads to high mortality so if there is any sign of
bacteremia, the neonate must be admitted to an emergency department.
Blood culture is a golden method for identification of the
bacteremia, In this work, we worked on blood samples from neonates
suspected with sepsis from Tanta NICU and cultured the samples by
conventional and Automated method.
The aim of this study was to evaluate the performance of automated
blood culture system in detection of bacteria in blood samples from cases
of neonatal septicemia in comparison with the results of conventional
blood culture methods.
This study was carried out in Medical Microbiology & Immunology
Department, Faculty of Medicine, Tanta University on 70 neonates
suspected with sepsis, during the period of research (between November
2017 till July 2019).
All patients were subjected to thorough history taking and full
clinical examination. The samples for blood culture were obtained by
venipuncture under complete aseptic technique and then the collected
specimens were divided to two halves The first half (1 cm) cultured by automated method on
BacT/ALERT® 3D 60 instrument then the positive bottles was introduced
into Vitek 2 system. The second half (1.5 cm) was cultured by
conventional blood culture method.
By automated identification,48 (68.6%) of 70 patients samples
yielded bacterial growth; Klebsiella was identified in 23 samples (32.9%),
Candida albicans was identified in 6 samples (8.6%), Acinetobacter
baumanni was identified in 6 samples (8.6%), Pseudomonas aeruginosa
was identified in 6 samples (8.6%), Staph epidermidis was identified in 4
samples (5.7%), staph aureus was identified in 2 sample (2.8%) and E.coli
was identified in 1 sample (1.4%).
By manual identification, 44 (62.9%) of 70 patients samples yielded
bacterial growth; Klebsiella was identified in 22 samples (31.4%),
Coagulase-Negative Staph aureus was identified in 8 samples (11.4%),
Candida albicans was identified in 4 samples (5.7%), Acinetobacter was
identified in 3 samples (4.3%), Pseudomonas was identified in 6 samples
(8.6%), and E.coli was identified in 1 sample (1.4%).
Then we compared between the results of manual and automated
method where the result was 40 samples (57.1%) gave positive results by
both methods while 4 samples (5.7%) were positive by only the manual
method and 8 samples (11.4%) were positive by automated method only.
Out of a total of 21 no growth samples, 18 samples (25.7%) gave no
growth by both methods while 4 samples (5.7%) gave no growth by the
automated method only and 8 samples (11.4%) gave no growth by only
the manual method.