Study design
A cross-sectional study was carried out on critically ill patients with age range from 1 month to 12 years admitted to a university-affiliated Pediatric Intensive Care Unit (PICU) over a period of 1 year (first of January to the end of December 2021).
Data collection
All patients were subjected to detailed history taking and thorough clinical examination including pediatric index of mortality (PIM-2) and Pediatric Logistic Organ Dysfunction (PELOD) scores [7, 8]. Meticulous follow-up of patients during their PICU length of stay (LOS) for identification of any type of infection, routine laboratory, and radiological diagnosis of the infection and recording the fate of these patients whether survived or deceased.
Laboratory identification of K. pneumoniae
Different bacteriological cultures were obtained upon specific infection case definition: urine, stool, blood (venous), nasopharyngeal swab, cerebero-spinal fluid (CSF) culture, and non-bronchoscopic broncho-alveolar lavage (NB-BAL) for mechanically ventilated cases.
All collected samples were processed according to standard microbiological procedures for each type of specimen. Specimens were inoculated using the following media: the blood, chocolate, MacConkey’s agar, and the plates were incubated at 37°C. Blood culture were performed using automated blood culture system (BACT/ALERT 3D system; BioMérieux). The blood culture bottles were incubated in the BACT/ALERT 3D system as recommended by the manufacturer for seven consecutive days. All isolated organisms were identified according to colonial morphology (hemolytic or non-hemolytic colonies on blood agar, lactose or non-lactose colonies on MacConkey’s agar), Gram staining reaction, and biochemical reactions (triple sugar iron, urease, citrate, motility, ornithine decarboxylation, indole tests) according to the standard microbiological methods [9].
Antibiotic susceptibility tests were performed for bacterial isolates using Bauer-Kirby disc diffusion method according to the latest Clinical and Laboratory Standard Institute (CLSI) recommendations [10].
NB-BAL, CSF, and earliest positive blood culture samples were subjected to an immediate multiplex PCR assessment using an automated closed system (Film-Array, Bio-Fire, USA, Serial Number 2FA06414) [11] to detect the possible bacteria and viruses, and the corresponding resistance genes were identified within 60–70 min from admission and management plans were designed accordingly.
Statistical analysis
The SPSS-IBM software statistical package was used for the computer statistical analysis of data [12]. Data was presented as a range, mean, median, standard deviation, and standard error. Descriptive statistics in the form of frequencies and percent were used to describe the categorical data variables while scale data were expressed by mean and standard deviation for normally distributed variables and median with range for skewed variables. The distributions of quantitative variables were tested for normality using Kolmogorov-Smirnov test. If it revealed normal data distribution, parametric tests were applied. If the data were abnormally distributed (skewed), non-parametric tests were used. The univariate and multivariate logistic model were used to estimate the probability of a binary response based on one or more predictor (or independent) variables. An alpha level was set to 5% with a significance level of 95%, and a beta error accepted up to 20% with a power of study of 80%.