Background: Despite effective antibiotics and vaccines, bacterial meningitis (BM) remains one of the leading causes of morbidity and mortality in young infants worldwide. Data from Africa on the aetiology and antibiotic susceptibility are scarce. Objective: To describe the aetiology of BM in Angolan infants <90 days of age. Methods: A prospective, observational, single-site study was conducted from February 2016 to October 2017 in the Paediatric Hospital of Luanda. All cerebrospinal fluid samples (CSF) from infants aged <90 days with suspected BM or neonatal sepsis were assessed. The local laboratory performed microscopy, chemistry, culture, and susceptibility testing. PCR for vaccine-preventable pathogens was performed in Johannesburg, South Africa. Results: Of the 1287 infants, 299 (23%) had confirmed or probable BM. Of the 212 (16%) identified bacterial isolates from CSF, the most common were Klebsiella spp (30 cases), Streptococcus pneumoniae (29 cases), Streptococcus agalactiae (20 cases), Escherichia coli (17 cases), and Staphylococcus aureus (11 cases). A fifth of pneumococci (3/14; 21%) showed decreased susceptibility to penicillin, whereas methicillin-resistant S. aureus (MRSA) was encountered in 4/11 cases (36%). Of the gram-negative isolates, 6/45 (13%) were resistant to gentamicin and 20/58 (34%) were resistant to third-generation cephalosporins. Twenty-four percent (33/135) of the BM cases were fatal, but this is likely an underestimation. Conclusions: BM was common among infants <90 days of age in Luanda. Gram-negative bacteria were predominant and were often resistant to commonly used antibiotics. Continued surveillance of the antibiogram is pivotal to detect potential changes without delay.

Background:The diagnosis of bacterial meningitis (BM) is problematic in young infants, as clinical features may be nonspecific or even absent. Cerebrospinal fluid (CSF) analysis usually confirms the diagnosis, but the CSF parameters can be normal also in culture-proven BM. Our objective was to identify the clinical and CSF indices, that quickly and without laboratory likely lead to the diagnosis of confirmed of probable BM in young infants in Angola. Methods: We conducted a prospective, observational, single-site study from February 2016 to October 2017 in the Pediatric Hospital of Luanda. All assessed infants showed symptoms and signs compatible of BM or neonatal sepsis and were <90 days of age. Results: Of the 1088 infants, 212 (19%) showed bacteria in CSF, while 88 (8%) had probable BM. Independent clinical indicators of BM were notclear CSF, seizures, weight <2500 g and illness >7 days. In infants with BM, CSF leukocytes were >10 × 10 6 /L in 46%, CSF glucose <25 mg/dL in 43% and CSF protein >120 mg/dL in 58%. All measured parameters were in normal range in 25% of patients. In 515 infants with normal CSF parameters, bacteria were found in 74 (14%). In these infants, illness >7 days, weight <2500 g and malnutrition increased the probability of BM. Conclusions: Our study confirms and underlines the problems in diagnosing BM in young infants. While the CSF parameters were normal in 25% of infants, the easily recognizable unclear appearance of CSF was the single strongest predictor of BM.

Background: Yearly, about two million infants die during the first 28 days of life. Most of these deaths occur in sub-Saharan Africa and a third of those are caused by severe infections. The early identification of infants at risk of death is important when trying to prevent poor outcomes. Objective: The aim of this study was to identify risk factors for death among young infants with possible serious bacterial infection (pSBI) at hospital admission. Methods: This prospective, observational, single-site, descriptive study forms part of a larger study on bacterial meningitis in infants <90 days of age admitted to the Pediatric Hospital of Luanda, the capital of Angola, from February 1, 2016 to October 23, 2017. Infants with pSBI, a known outcome, and a final diagnosis were included. Results: Of 574 young infants with pSBI, 115 (20%) died in hospital. An altered level of consciousness, absence of spontaneous movements, dyspnea, CSF that is not clear, low CSF glucose, high CSF protein, heart rate over the median, and seizures were identified as risk factors for death in the univariate analysis. In the multivariate analysis, only heart rate over the median and seizures were independent predictors of death. Conclusions: Easily recognizable clinical signstachycardia and seizuresmay guide clinicians to identify infants at high risk of death due to severe bacterial infections in sub-Saharan Africa.