The Assessment of Multiplex PCR in Identifying Bacterial Infections in Patients Hospitalized with SARS-CoV-2 Infection: A Systematic Review.
Iulia BogdanTejaswi GadelaFelix BratosinCatalin DumitruAlin PopescuFlorin George HorhatRodica Anamaria NegreanRazvan Mihai HorhatIon Cristian MotAdrian Vasile BotaCarmen Nicoleta StoicaBogdan FecicheAndrei Nicolae CsepRoxana Manuela FericeanGratiana Nicoleta ChicinIosif MarincuPublished in: Antibiotics (Basel, Switzerland) (2023)
Bacterial infection can occur in patients hospitalized with SARS-CoV-2 in various conditions, resulting in poorer outcomes, such as a higher death rate. This current systematic review was conducted in order to assess the efficiency of multiplex PCR in detecting bacterial infections in hospitalized COVID-19 patients, as well as to analyze the most common bacterial pathogens and other factors that interfere with this diagnosis. The research was conducted using four electronic databases (PubMed, Taylor&Francis, Web of Science, and Wiley Online Library). Out of 290 studies, nine were included in the systematic review. The results supported the use of multiplex PCR in detecting bacteria, considering its high sensitivity and specificity rates. The most common bacterial pathogens found were Klebsiella pneumoniae , Staphylococcus aureus , Pseudomonas aeruginosa , Streptococcus pneumoniae , and Haemophilus influenzae. The median age at admission was 61.5 years, and the majority of patients were men (70.3%), out of a total of 1553 patients. The proportion of ICU admission was very high, with a pooled proportion of 52.6% over the analyzed studies, and an average duration of hospitalization of 13 days. The mortality rate was proportionally high, as was the rate of ICU admission, with a pooled mortality of 24.9%. It was discovered that 65.2% of all patients used antibiotics before admission, with or without medical prescription. Antibiotic treatment should be considered consciously, considering the high risks of developing antibiotic resistance.
Keyphrases
- end stage renal disease
- systematic review
- ejection fraction
- newly diagnosed
- chronic kidney disease
- sars cov
- prognostic factors
- staphylococcus aureus
- peritoneal dialysis
- klebsiella pneumoniae
- randomized controlled trial
- intensive care unit
- cardiovascular disease
- type diabetes
- multidrug resistant
- social media
- healthcare
- machine learning
- clinical trial
- deep learning
- health information
- smoking cessation
- metabolic syndrome
- single cell