Predictors of Mortality in Neonatal Pneumonia: An INCLEN Childhood Pneumonia Study

Factors affecting survival of foals with pneumonia in a referral hospital

BACKGROUND

Pneumonia is a common condition in ailing neonatal foals, and it remains an important cause of morbidity and mortality in this veterinary patient group. Factors affecting the survival of young foals with pneumonia have not been thoroughly investigated. The aim of this study was to explore the potential prognostic factors associated with survival of these foals. Fifty foals under one month of age with pneumonia were included in this retrospective clinical study. The foals were divided into groups based on survival (survived to discharge or died/euthanised during hospitalisation). Multiple clinical and laboratory variables were investigated as risk factors with univariate logistic regression analyses and subsequently with multivariate analyses. If a variable showed prediction potential in regression analysis, a receiver operating characteristic (ROC) analysis was conducted.

RESULTS

In univariate analysis, odds (OR, 95% CI) of non-survival were associated with higher respiratory rate (RR) on the first day after admission to hospital (D1) (1.32, 1.07-1.62, P = 0.009, for each 5-unit increase) and positive bacterial blood culture (12.08, 1.88-77.67, P = 0.009). Odds of non-survival were decreased for Standardbred breed (0.11, 0.01-0.96, P = 0.046) and for foals with longer hospitalisation, with each additional day in hospital further reducing the odds (0.59, 0.40-0.86, P = 0.006). In multivariate analysis, odds of non-survival were associated only with higher RR on D1 (1.36, 1.07-1.71, P = 0.011, for each 5-unit increase). In ROC analysis, optimal cut-off value for RR was ≥ 55/min with sensitivity 75.0% and specificity 76.3%. Based on predictive values, RR < 55/min on D1 favoured survival.

CONCLUSIONS

Higher RR on D1 is a predictor of non-survival in foals with pneumonia in this study, increasing the odds of death by 36% for each 5-unit increase in RR. Respiratory rate below 55/min on D1 favours survival. These findings could assist in early identification of foals that are at increased risk of mortality, thereby aiding in treatment decisions.

Association of toll-like receptors with the airway-intestinal microbiota and pneumonia development in preterm infants - A case control study

BACKGROUND

The prevention and treatment of pneumonia and lung injury in preterm infants are major challenges for pediatricians worldwide. Few studies have analyzed the composition of bacterial colonies in the airway and intestine and their relationship with toll-like receptors (TLRs) as it relates to pneumonia in preterm infants.

METHODS

This study included 70 infants born at 32-35 weeks gestation. Oral-tracheal aspirates at the time of birth, first-pass meconium, and serum specimens were collected. Bacterial deoxyribonucleic acid (DNA) was extracted from the Oral-tracheal aspirates and meconium, and 16S ribosomal ribonucleic acid (rRNA) genes were amplified and sequenced. The levels of TLR2 and TLR4 were analyzed using an enzyme-linked immunosorbent assay. Preterm infants were classified into non-pneumonia (A) and pneumonia (B) groups according to their clinical manifestations.

RESULTS

Significant differences in the alpha and beta diversities were observed between the two groups. Infants with pneumonia had less bacterial diversity in the airways and intestinal flora at birth than those without pneumonia. The three most predominant phyla in the airways at birth were Proteobacteria, Firmicutes, and Actinobacteria. The levels of TLR2 and TLR4 in oral-tracheal aspirates were higher in infants with pneumonia than in those without pneumonia, although serum TLR2 and TLR4 levels did not differ between the groups. Streptococcus in the oral tracheal aspirate was negatively correlated with TLR2 and TLR4 levels, and Ureaplasma in the oral-tracheal aspirate was negatively correlated with TLR4 levels in the airway.

CONCLUSION

Reduced perinatal microbiota diversity is associated with the levels of TLR2 and TLR4, and may also have a significant impact on the development of pneumonia.

Effect of β-lactam antibiotics on the gut microbiota of term neonates

β-Lactam antibiotics are a class of antibiotics commonly used to treat bacterial infections. However, the effects of β-lactam antibiotics on term neonatal intestinal flora have not been fully elucidated. Hospitalized full-term newborns receiving β-lactam antibiotics formed the antibiotic group (n = 67), while those without antibiotic treatment comprised the non-antibiotic group (n = 47). A healthy group included healthy full-term newborns (n = 16). Stool samples were collected for 16 S rDNA sequencing to analyze gut microbiota variations. Further investigation was carried out within the β-lactam antibiotic group, exploring the effects of antibiotic use on the newborns' gut microbiota in relation to the duration and type of antibiotic administration, delivery method, and feeding practices. The antibiotic group exhibited significant difference of microbial community composition compared to the other groups. Genera like Klebsiella, Enterococcus, Streptococcus, Alistipes, and Aeromonas were enriched, while Escherichia-Shigella, Clostridium sensu stricto 1, Bifidobacterium, and Parabacteroides were reduced. Klebsiella negatively correlated with Escherichia-Shigella, positively with Enterobacter, while Escherichia-Shigella negatively correlated with Enterococcus and Streptococcus. Regardless of neonatal age, β-lactam antibiotics induced an elevated abundance of Klebsiella and Enterococcus. The impact on gut microbiota varied with the duration and type of antibiotic (cefotaxime or ampicillin/sulbactam). Compared to vaginal delivery, cesarean delivery after β-lactam treatment heightened the abundance of Klebsiella, Enterobacteriaceae_Unclassified, Lactobacillales_Unclassified, and Pectobacterium. Feeding patterns minimally influenced β-lactam-induced alterations. In conclusion, β-lactam antibiotic treatment for neonatal pneumonia and sepsis markedly disrupted intestinal microbiota, favoring Klebsiella, Enterococcus, Streptococcus, Alistipes, and Aeromonas. The impact of β-lactam varied by duration, type, and delivery method, emphasizing heightened disruptions post-cesarean delivery.

Combination of metagenomic next-generation sequencing and conventional tests unraveled pathogen profiles in infected patients undergoing allogeneic hematopoietic stem cell transplantation in Jilin Province of China

Background

Infection is the main cause of death for patients after allogeneic hematopoietic stem cell transplantation (HSCT). However, pathogen profiles still have not been reported in detail due to their heterogeneity caused by geographic region.

Objective

To evaluate the performance of metagenomic next-generation sequencing (mNGS) and summarize regional pathogen profiles of infected patients after HSCT.

Methods

From February 2021 to August 2022, 64 patients, admitted to the Department of Hematology of The First Hospital of Jilin University for HSCT and diagnosed as suspected infections, were retrospectively enrolled.

Results

A total of 38 patients were diagnosed as having infections, including bloodstream (n =17), pulmonary (n =16), central nervous system (CNS) (n =4), and chest (n =1) infections. Human betaherpesvirus 5 (CMV) was the most common pathogen in both bloodstream (n =10) and pulmonary (n =8) infections, while CNS (n =2) and chest (n =1) infections were mainly caused by Human gammaherpesvirus 4 (EBV). For bloodstream infection, Mycobacterium tuberculosis complex (n =3), Staphylococcus epidermidis (n =1), and Candida tropicalis (n =1) were also diagnosed as causative pathogens. Furthermore, mNGS combined with conventional tests can identify more causative pathogens with high sensitivity of 82.9% (95% CI 70.4-95.3%), and the total coincidence rate can reach up to 76.7% (95% CI 64.1-89.4%).

Conclusions

Our findings emphasized the importance of mNGS in diagnosing, managing, and ruling out infections, and an era of more rapid, independent, and impartial diagnosis of infections after HSCT can be expected.

Metagenomic Next-Generation Sequencing for the Diagnosis of Neonatal Infectious Diseases

Infectious diseases pose a fatal risk to neonates. Timely and accurate pathogen detection is crucial for proper clinical diagnosis and therapeutic strategies. Limited sample volumes from neonatal patients seriously hindered the accurate detection of pathogens. Here, we unravel that metagenomic next-generation sequencing (mNGS) of cell-free DNA (cfDNA) and RNA can achieve unbiased detection of trace pathogens from different kinds of body fluid samples and blood samples. We enrolled 168 neonatal patients with suspected infections from whom blood samples (n = 153), cerebrospinal fluid samples (n = 127), and respiratory tract samples (RTSs) (including bronchoalveolar lavage fluids, sputa, and respiratory secretions) (n = 51) were collected and analyzed using mNGS. High rates of positivity (70.2%; 118/168) of mNGS were observed, and the coincidence rate against the final clinical diagnosis in positive mNGS cases reached 68.6% (81/118). The most common causative pathogens were Klebsiella pneumoniae (n = 12), Escherichia coli (n = 12), and Streptococcus pneumoniae (n = 8). mNGS using cfDNA and RNA can identify microbes that cannot be detected by conventional methods in different body fluid and blood samples, and more than 50% of these microbes were identified as causative pathogens. Further local polynomial regression fitting analysis revealed that the best timing for mNGS detection ranged from 1 to 3 days after the start of continuous antimicrobial therapy. Diagnosed and guided by mNGS results, the therapeutic regimens for 86 out of 117 neonatal patients were changed, most of whom (80/86) completely recovered and were discharged, while 44 out of 86 patients completely or partially stopped unnecessary medication. Our findings highlight the importance of mNGS in detecting causative DNA and RNA pathogens in infected neonatal patients. IMPORTANCE To the best of our knowledge, this is the first report on evaluating the performance of mNGS using cfDNA and RNA from body fluid and blood samples for diagnosing neonatal infections. mNGS of RNA and cfDNA can achieve the unbiased detection and identification of trace pathogens from different kinds of neonatal body fluid and blood samples with a high total coincidence rate (226/331; 68.3%) against final clinical diagnoses by sample. The best timing for mNGS detection in neonatal infections ranged from 1 to 3 days, rather than 0 days, after the start of continuous antimicrobial therapy. Our findings highlight the importance of mNGS in detecting causative DNA and RNA pathogens, and the extensive application of mNGS for the diagnosis of neonatal infections can be expected.

Lung Ultrasound to Diagnose Pneumonia in Neonates with Fungal Infection

With the improvement in survival rates of low-birthweight and very premature infants, neonatal fungal infection, especially fungal pneumonia, is becoming more and more common, but the diagnosis is always challenging. Recently, lung ultrasound (LUS) has been used to diagnose pneumonia in newborn infants, but not fungal pneumonia. This paper summarizes the ultrasonographic features of seven cases of neonatal fungal pneumonia, such as lung consolidation with air bronchograms, shred signs, lung pulse, pleural line abnormalities, and different kinds of B-lines. It was confirmed that LUS plays an important role in the diagnosis of fungal pneumonia in newborn infants.

Predicting Mortality and Use of RISC Scoring System in Hospitalized Under-Five Children Due to WHO Defined Severe Community Acquired Pneumonia

BACKGROUND

Pneumonia acquired in the community is a leading cause of hospitalization and death in under-five children. Predicting mortality in children remains a challenge. There is a need of consolidated scoring system to predict mortality in under-five children in developing nations.

METHODS

This is a hospital-based prospective nested case-control study, conducted in a tertiary care teaching hospital of north India. Included were under-five hospitalized children due to WHO defined severe community acquired pneumonia (CAP). Those who did not survive were categorized as cases, while those who were discharged were categorized as controls.

RESULTS

The mortality rate among the recruited 180 hospitalized children with severe CAP was 9.4%. The mortality in under-five children was higher among infants, children who resided in rural areas and were unimmunized or partially immunized for the present age. Mortality was also statistically significantly higher among under-five children with weight for age and weight for length/height below -2Z score; SpO2 < 90% at room air at admission, cyanosis, convulsion, high C-reactive protein (CRP), blood culture positive sepsis and end point consolidation. These predictors were found to be independent risk factors for the mortality after analyzing in multivariate model while presence of wheeze and exclusive breast feeding for first six months of life were found to be protective. The receiver operating characteristic (ROC) curve for respiratory index of severity in children (RISC) score has area under curve (AUC) 0.91 while AUC of RISC score with King George's Medical University (KGMU) modification has 0.88 for prediction of mortality. At the cut-off level of 3, the sensitivity of the RISC score in predicting mortality was 94.1% while the specificity was 73.6%. However, the sensitivity of the RISC score with KGMU modification in predicting mortality at cut-off level of 3 was 88.4% with a specificity of 74.8%.

CONCLUSION

Various predictors for mortality under-five children are young age, malnutrition, cyanosis, high CRP, blood culture positive sepsis and end point consolidation. It is also possible to predict mortality using RISC score which comprises simple variables and can be easily used at centers of periphery. Similar accuracy had been also found through the use of an age independent modified score (RISC score with KGMU modification).Lay summaryPneumonia is a primary cause of hospitalization as well as death among the children under the age of five. A variety of severity or mortality predicting scores have been produced for adults, but such scores for children are scarce. Furthermore, their utility in developing nations has not been proven. This is a hospital-based prospective study. Included were children under five (2 to 59 months) hospitalized due to severe community acquired pneumonia (CAP) defined as per World Health Organization (WHO) and were not hospitalized in last 14 days elsewhere. Those who did not survive were classified as cases while those who were discharged were classified as controls. A total of 200 consecutively hospitalized children with severe CAP based on WHO were screened and 180 children were recruited. Among recruited children, the percentage of mortality was 9.4% while 90.6% were discharged. The mortality was higher among children younger than 12 months, those belonged to rural area and were unimmunized or partially immunized for the present age. Mortality was also higher among under-five children with severe malnutrition, anemia, SpO2 < 90% at room air at admission, cyanosis, convulsion, thrombocytopenia, high CRP, blood culture positive sepsis and end point consolidation. After assessing in a multivariate model, these predictors were determined to be independent risk factor for death, while wheezing and exclusive breast feeding throughout the first six months of life were found to be protective. The receiver operating characteristic (ROC) curve for respiratory index of severity in children (RISC) score has an area under curve (AUC) of 0.91 while AUC of RISC score with King George's Medical University (KGMU) modification was 0.88 for the prediction of death in under-five children hospitalized due to severe CAP.

Predictors of Bronchopulmonary Dysplasia in 625 Neonates with Respiratory Distress Syndrome

OBJECTIVE

This study was designed to investigate the predictors of bronchopulmonary dysplasia in neonates with respiratory distress syndrome.

METHODS

This was a single-center retrospective cohort study conducted between 1 January 2015 and 31 December 2020. A total of 625 neonates with respiratory distress syndrome (RDS) were enrolled. Demographic data, clinical presentations, complications and related treatment information were collected and analyzed. We used bivariate and multivariate logistic-regression analyses to determine significant predictors of bronchopulmonary dysplasia (BPD) in RDS neonates.

RESULTS

In these 625 neonates, 102 (16.3%) of them developed BPD. Bivariate analysis and multivariate logistic-regression analyses revealed that birthweight, gestational age under 32 weeks, duration of oxygen therapy over 10 days, asphyxia, patent ductus arteriosus, transfusion of red blood cells (packed red blood cells) and surfactant use were significantly associated with the development of BPD.

CONCLUSION

Birthweight, gestational age <32 weeks, total duration of oxygen therapy >10 days, asphyxia, patent ductus arteriosus, need for red blood cell infusion, and the use of pulmonary surfactant were important predictors of BPD in neonates with RDS.