Bacterial Aetiologies of Lower Respiratory Tract Infections among Adults in Yaoundé, Cameroon.
Serges TchatchouangAriane NzouankeuSebastien KenmoeLaure NgandoVeronique PenlapMarie-Christine FonkouaEric-Walter Pefura-YoneRichard NjouomPublished in: BioMed research international (2019)
Lower respiratory tract infections (LRTIs) remain a challenge in African healthcare settings and only few data are available on their aetiology in Cameroon. The purpose of this study was to access the bacterial cause of LRTIs in patients in Cameroon by two methods. Methods. Participants with LRTIs were enrolled in the referral centre for respiratory diseases in Yaoundé city and its surroundings. To detect bacteria, specimens were tested by conventional bacterial culture and a commercial reverse-transcriptase real-time polymerase chain reaction (RT-PCR) assay. One hundred forty-one adult patients with LRTIs were enrolled in the study. Among the participants, 46.8% were positive for at least one bacterium. Streptococcus pneumoniae and Haemophilus influenzae were the most detected bacteria with 14.2% (20/141) followed by Klebsiella pneumoniae, 9.2% (13/141), Staphylococcus aureus, 7.1% (10/141), and Moraxella catarrhalis, 4.3% (6/141). Bacterial coinfection accounted for 23% (14/61) with Haemophilus influenzae being implicated in 19.7% (12/61). The diagnostic performance of RT-PCR for bacteria detection (43.3%) was significantly different from that of culture (17.7%) (p< 0.001). Only Streptococcus pneumoniae detection was associated with empyema by RT-PCR (p<0.001). These findings enhance understanding of bacterial aetiologies in order to improve respiratory infection management and treatment. It also highlights the need to implement molecular tools as part of the diagnosis of LRTIs.
Keyphrases
- respiratory tract
- real time pcr
- klebsiella pneumoniae
- healthcare
- staphylococcus aureus
- end stage renal disease
- escherichia coli
- multidrug resistant
- chronic kidney disease
- prognostic factors
- loop mediated isothermal amplification
- big data
- ejection fraction
- label free
- high throughput
- cystic fibrosis
- single molecule
- quantum dots
- biofilm formation
- data analysis
- artificial intelligence