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Diagnostic polymerase chain reaction
1Swedish Institute for Infections Disease Control, Stockholm, Sweden.
Summary
Polymerase chain reaction (PCR) significantly improves Bordetella pertussis detection when combined with culture methods. While PCR offers a substantial sensitivity gain over culture alone, its added benefit is moderate when used alongside serology.
Area of Science:
- Microbiology
- Immunology
- Diagnostic Technologies
Background:
- Pertussis, caused by Bordetella pertussis, remains a significant public health concern, necessitating accurate diagnostic methods.
- Traditional diagnostic methods like culture have limitations in sensitivity.
- Polymerase chain reaction (PCR) has emerged as a sensitive molecular technique for pathogen detection.
Purpose of the Study:
- To evaluate the sensitivity and specificity of PCR for diagnosing B. pertussis across various pertussis vaccine studies.
- To compare the diagnostic yield of PCR when added to culture versus when added to both culture and serology.
Main Methods:
- Systematic review and analysis of PCR performance data from seven distinct pertussis vaccine studies.
- Assessment of PCR sensitivity using colony-forming units (cfu) and diagnostic sensitivity against culture as a reference standard.
- Calculation of the proportional increase in case detection by PCR among samples negative for culture and/or serology.
Main Results:
- PCR performance sensitivity ranged from < or = 1 to 10 cfu, with diagnostic sensitivity between 73% and 100% compared to culture.
- Positive PCR results in culture-negative samples increased case detection by 71% to 293% in four trials.
- The gain in detection was more moderate (6% to 11%) when PCR was added to both culture and serology-negative samples in two trials.
Conclusions:
- Adding PCR to culture significantly enhances the sensitivity for diagnosing B. pertussis.
- The incremental benefit of PCR is moderate when employed in conjunction with both culture and serology.
- Variations in sampling, sample selection, and PCR protocols across studies necessitate cautious interpretation of absolute figures.