Molecular Epidemiology of Carbapenemase-Producing Pseudomonas aeruginosa: An Iranian Referral Hospital-Based Study.

In recent years, there has been a significant increase in infections caused by carbapenemase-producing strains, with carbapenem-resistant Pseudomonas aeruginosa (CRPA) emerging as a priority pathogen according to the World Health Organization. This study aimed to evaluate the molecular epidemiology of CRPA isolated from patients referred to Children's Medical Center in Tehran, Iran. P. aeruginosa isolates collected from different children's wards were screened for common carbapenem-resistant genes by polymerase chain reaction (PCR). Genetic relatedness between isolates was assessed by pulsed-field gel electrophoresis (PFGE). The study included 133 participants, with 50% being male, and revealed a median age of 2 years (interquartile range: 6 months to 6 years). Carbapenem resistance was detected in 15% of cases (n = 20), with CRPA isolates predominantly found in the emergency ward (60%). The median age of patients with CRPA was significantly higher than those with carbapenem-susceptible P. aeruginosa (6 years vs. 1 year). PCR analysis revealed metallo-ß-lactamase production in 45% of CRPA isolates (n = 9), with blaNDM being the most prevalent gene. PFGE analysis of the CRPA isolates identified three clusters (Cluster I, II, and III). Cluster I, comprising 65% of all isolates (n = 13), was predominantly found in the emergency ward. Notably, blaNDM-producing strains were prevalent in the emergency ward. Our study highlights the significant prevalence of CRPA in the emergency ward of our hospital and underscores the importance of targeted surveillance and infection control measures to curb its spread within health care settings.

Predictive factors for COVID-19 severity and mortality in hospitalized children.

BACKGROUND: Understanding the factors influencing disease progression and severity in pediatric COVID-19 cases is essential for effective management and intervention strategies. This study aimed to evaluate the discriminative ability of clinical and laboratory parameters to identify predictors of COVID-19 severity and mortality in hospitalized children. METHODS: In this multicenter retrospective cohort study, we included 468 pediatric patients with COVID-19. We developed a predictive model using their demographic, clinical, and laboratory data. The performance of the model was assessed using various metrics including sensitivity, specificity, positive predictive value rates, and receiver operating characteristics (ROC). RESULTS: Our findings demonstrated strong discriminatory power, with an area under the curve (AUC) of 0.818 for severity and 0.873 for mortality prediction. Key risk factors for severe COVID-19 in children include low albumin levels, elevated C-reactive protein (CRP), lactate dehydrogenase (LDH), and underlying medical conditions. Furthermore, ROC curve analysis highlights the predictive value of CRP, LDH, and albumin, with AUC values of 0.789, 0.752, and 0.758, respectively. CONCLUSION: Our study indicates that laboratory values are valuable in predicting COVID-19 severity in children. Various factors, including CRP, LDH, and albumin levels, demonstrated statistically significant differences between patient groups, suggesting their potential as predictive markers for disease severity. Implementing predictive analyses based on these markers could aid clinicians in making informed decisions regarding patient management.

Post-discharge follow-up of pediatric COVID-19 patients: insights into serological dynamics.

Introduction: Limited data are available regarding SARS-CoV-2 serological response dynamics in pediatric patients with COVID-19, contributing to gaps in our understanding of the immune response in this population. This study aimed to investigate SARS-CoV-2 IgG seropositivity in patients diagnosed with COVID-19 during hospitalization and 2-4 weeks after discharge. Methods: A cohort of patients, consisting of 31 individuals with confirmed acute COVID-19 infection and 27 diagnosed with Multisystem Inflammatory Syndrome in Children (MIS-C), was enrolled in the study. Follow-up clinic appointments were scheduled for 2-4 weeks post-discharge. During admission and follow-up, blood samples were collected from each patient for laboratory analysis. Anti-nucleoprotein SARS-CoV-2 IgG levels were determined using the Enzyme-Linked Immunosorbent Assay (ELISA) method. Results: In this study, a cohort of 58 patients was examined. At admission, 52% (n = 14) of MIS-C patients and 10% (n = 3) of acute COVID-19 patients had positive SARS-CoV-2 IgG test. Only 48 cases were referred to the hospital, and follow-up data was available for 20 cases with MIS-C and 28 cases with acute COVID-19. All patients (n = 15) who initially tested positive for SARS-CoV-2 IgG at admission remained positive serology during follow-up (100%). Among the 33 patients who initially tested negative, 12 (37.5%) showed a positive serology result during follow-up, while 21 (62.5%) remained negative. Within this subgroup, 11 cases (44%) were diagnosed with acute COVID-19, and one patient (12.5%) presented with MIS-C. Fourteen cases with acute COVID-19 infection (56%) and seven cases with MIS-C (87.5%) consistently showed negative serology results throughout the study. During follow-up, the median lymphocyte count demonstrated a significant difference, with 0.96 × 109 cells per L (IQR: 0.75-3.0 × 109 cells per L) in the SARS-CoV-2 IgG-negative group and 2.9 × 109 cells per L (IQR = 1.33-7.22 × 109 cells per L) in the SARS-CoV-2 IgG-positive group (p-value = 0.03). Patients who demonstrated seropositivity during the follow-up were associated with a notably severe disease (p-value = 0.028). Conclusion: Our study highlights the dynamic nature of SARS-CoV-2 IgG antibody responses in pediatric patients with COVID-19 infection. We observed a notable increase in seropositivity rates during follow-up. Furthermore, patients who were seropositive at follow-up demonstrated a severe disease course and lower lymphocyte counts compared to those with persistently negative serology. Our findings underscore the importance of longitudinal serological monitoring in understanding disease progression and immune response dynamics in pediatric COVID-19 cases.

Celiac Disease: A Review from Genetic to Treatment.

Celiac disease (CD) is a complex disorder influenced by genetic and environmental factors. When people with a genetic predisposition to CD consume gluten, an inflammatory response is triggered in the small intestine, and this reaction can be alleviated by the elimination of gluten from the diet. The clinical manifestations of CD vary greatly from person to person and begin at a young age or in adulthood. Influence of genetic factors on CD development is evident in carriers of the DQ2 and/or DQ8 allele. HLA genotypes are associated with gut colonization by bacteria, particularly in individuals suffering from CD. In addition, beneficial gut microbes are crucial for the production of DPP-4, which plays a key role in immune function, as well as metabolic and intestinal health. Therefore, probiotics have been recommended as a complementary food supplement in CD.

Characterization of antimicrobial susceptibility, extended-spectrum ß-lactamase genes and phylogenetic groups of Shigatoxin producing Escherichia coli isolated from patients with diarrhea in Iran.

BACKGROUND: Shiga toxin-producing Escherichia coli (STEC) are among common foodborne bacterial pathogens and healthy livestock are the main source of this bacterium. Severe diseases attribute to two types of cytotoxin Stx1 and Stx2, which are also called Shiga toxin (Stx). Infection of humans with STEC may result in Acute diarrhea with or without bleeding, hemorrhagic colitis (HC) and the hemolytic uremic syndrome (HUS). As antibiotic resistance is increasingly being reported among STEC isolates obtained from livestock and patients worldwide, in this study the pattern of antibiotic resistance in clinical isolates was determined. METHODS: Stool samples were collected from patients with diarrhea. All samples were cultured and identified by biochemical and molecular tests. Antimicrobial susceptibility test and assessment of extended-spectrum ß-lactamase (ESBL)-related genes were conducted. Moreover, phylogenetic groups were analyzed using quadruplex PCR, and DNA analysis assessed multi-locus sequence types (MLST). RESULTS: Out of 340 E. coli samples, 174 were identified as STEC by PCR. Antimicrobial susceptibility test results showed that, 99.4%, 96% and 93.1% of isolates were susceptible to imipenem/ertapenem, piperacillin-tazobactam and amikacin, respectively. The highest resistance was towards ampicillin (68.4%), followed by trimethoprim-sulfamethoxazole (59.8%), and tetracycline (57.5%). A total of 106 (60.9%) isolates were multidrug resistance (MDR) and 40.8% of isolates were determined to be extended spectrum ß-lactamase producers. In 94.4% of isolates, genes responsible for ESBL production could be detected, and blaTEM was the most prevalent, followed by blaCTX-M9. Furthermore, phylogenetic grouping revealed that majority of STEC strains belonged to Group C, followed by Groups E, B2 and A. MLST unveiled diverse ST types. CONCLUSION: A periodical surveillance studies and thorough understanding of antibiotic resistant profiles in STEC isolates could help select effective antibiotic treatment for patients and develop strategies to effectively manage food contamination and human infections.

Characterization of Antimicrobial Susceptibility, Extended-Spectrum ß-Lactamase Genes and Phylogenetic Groups of Enteropathogenic Escherichia coli Isolated from Patients with Diarrhea.

OBJECTIVES: Infectious diarrhea is one of the most common causes of pediatric death worldwide and enteropathogenic Escherichia coli (EPEC) is one of the main causes. There are 2 subgroups of EPEC, typical and atypical, based on the presence or absence of bundle forming pili (bfp), of which atypical EPEC is considered less virulent, but not less pathogenic. Antimicrobial resistance towards atypical EPEC among children is growing and is considered a major problem. In this study the pattern of antibiotic resistance in clinical isolates was determined. METHODS: Using 130 isolates, antibiotic resistance patterns and phenotypes were assessed, and genotypic profiles of extended spectrum ß-lactamase (ESBL) production using disc diffusion and PCR was carried out. Phylogenetic groups were analyzed using quadruplex PCR. RESULTS: There were 65 E. coli isolates identified as atypical EPEC by PCR, among which the highest antibiotic resistance was towards ampicillin, followed by trimethoprim-sulfamethoxazole, and tetracycline. Multidrug resistance was detected in 44.6% of atypical EPEC isolates. Around 33% of isolates were determined to be extended spectrum ß-lactamase producers, and in 90% of isolates, genes responsible for ESBL production could be detected. Moreover, the majority of atypical EPEC strains belonged to Group E, followed by Groups B1, B2 and C. CONCLUSION: High rates of multidrug resistance and ESBL production among atypical EPEC isolates warrant periodical surveillance studies to select effective antibiotic treatment for patients. It is considered a critical step to manage antibiotic resistance by avoiding unnecessary prescriptions for antibiotics.