Bacterial and Viral qPCR Data in Chronic Sinusitis
Rithik Rajasekar, Chetan Shah, Rakesh B Patel, Samir Undavia, Gregory Smith, Michael P Ondik and Nishant Reddy
Journal Title:Acta Scientific Otolaryngology
Many studies have investigated the flora associated with chronic sinusitis, but few compare real-time quantitative polymerase chain reaction (qPCR) data with the medical literature. The purpose of this study is to explore our current qPCR data as well as con-
duct a literature review on the clinical importance of microbiologic identification techniques such as qPCR and culturing. This study uses qPCR data from a sample set of 333 patients to conduct a comparative analysis. The study found that the three most prevalent
sinonasal bacteria in sinusitis are Staphylococcus aureus (Cumulative: 70 positive samples and 21.02% identification rate), Klebsiella pneumoniae (Cumulative: 28 positive samples 8.41% positive identification rate), and Haemophilus influenzae (Cumulative: 20 posi-
tive samples and 6.00% positive identification rate) in our patient population. These findings differ from the pathogens traditionally cited in the otolaryngology medical literature. Furthermore, 29.73% of the samples contained non-bacterial pathogens, supporting
the use of identification techniques such as qPCR. Ultimately, qPCR identification has helped avoid the inappropriate use of antibiotics.