Rapid Molecular Microbiologic Diagnosis of Prosthetic Joint Infection (original) (raw)
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Culture and PCR analysis of joint fluid in the diagnosis of prosthetic joint infection
The new microbiologica, 2008
This prospective study compared PCR and culture techniques in the diagnosis of prosthetic joint infection (PJI). We obtained joint fluid samples (JFS; n=115) from patients who had failed total joint arthroplasty between January 2003 and June 2005; 49 were positive for PJI according to established strict criteria. JFS were analyzed by PCR (n=35; control n=66) or culture (n=46, control n=48). PCR was positive in 71% of PJI cases, resulting in sensitivity, specificity, accuracy, positive predictive value, negative predictive value, and likelihood ratio for positive results as follows: 0.71; 0.97; 0.88; 0.93; 0.87 and 23.6, respectively. Culture was positive in 44% of PJI samples. Corresponding statistics were 0.44; 0.94; 0.69; 0.87; 0.63 and 7.0, respectively. Significantly higher sensitivity, accuracy and negative predictive values were calculated for PCR versus culture, and there was 83% concordance between the results of intraoperative culture and PCR detection of causative bacteria...
Journal of Clinical Microbiology, 2012
Periprosthetic tissue and/or synovial fluid PCR has been previously studied for prosthetic joint infection (PJI) diagnosis; however, few studies have assessed the utility of PCR on biofilms dislodged from the surface of explanted arthroplasties using vortexing and sonication (i.e., sonicate fluid PCR). We compared sonicate fluid 16S rRNA gene real-time PCR and sequencing to culture of synovial fluid, tissue, and sonicate fluid for the microbiologic diagnosis of PJI. PCR sequences generating mixed chromatograms were decatenated using RipSeq Mixed. We studied sonicate fluids from 135 and 231 subjects with PJI and aseptic failure, respectively. Synovial fluid, tissue, and sonicate fluid culture and sonicate fluid PCR had similar sensitivities (64.7, 70.4, 72.6, and 70.4%, respectively; P > 0.05) and specificities (96.9, 98.7, 98.3, and 97.8%, respectively; P > 0.05). Combining sonicate fluid culture and PCR, the sensitivity was higher (78.5%, P < 0.05) than those of individual...
Journal of Clinical Microbiology, 2018
Prosthetic joint failure is mainly caused by infection, aseptic failure (AF), and mechanical problems. Infection detection has been improved with modified culture methods and molecular diagnostics. However, comparisons between modified and conventional microbiology methods are difficult due to variations in specimen sampling. In this prospective, multidisciplinary study of hip or knee prosthetic failures, we assessed the contributions of different specimen types, extended culture incubations, and 16S rRNA sequencing for diagnosing prosthetic joint infections (PJI). Project specimens included joint fluid (JF), bone biopsy specimens (BB), soft-tissue biopsy specimens (STB), and swabs (SW) from the prosthesis, collected in situ , and sonication fluid collected from prosthetic components (PC). Specimens were cultured for 6 (conventional) or 14 days, and 16S rRNA sequencing was performed at study completion. Of the 156 patients enrolled, 111 underwent 114 surgical revisions (cases) due t...
Role of Universal 16S rRNA Gene PCR and Sequencing in Diagnosis of Prosthetic Joint Infection
Journal of Clinical Microbiology, 2012
The etiological diagnosis of prosthetic joint infection (PJI) requires the isolation of microorganisms from periprosthetic samples. Microbiological cultures often yield false-positive and false-negative results. 16S rRNA gene PCR combined with sequencing (16SPCR) has proven useful for diagnosing various infections. We performed a prospective study to compare the utility of this approach with that of culture to diagnose PJI using intraoperative periprosthetic samples. We analyzed 176 samples from 40 patients with PJI and 321 samples from 82 noninfected patients using conventional culture and 16SPCR. Three statistical studies were undertaken following a previously validated mathematical model: sample-to-sample analysis, calculation of the number of samples to be studied, and calculation of the number of positive samples necessary to diagnose PJI. When only the number of positive samples is taken into consideration, a 16SPCR-positive result in one sample has good specificity and positive predictive value for PJI (specificity, 96.3%; positive predictive value, 91.7%; and likelihood ratio [LR], 22), while 3 positive cultures with the same microorganism are necessary to achieve similar specificity. The best combination of results for 16SPCR was observed when 5 samples were studied and the same microorganism was detected in 2 of them (sensitivity, 94%; specificity, 100%; and LR, 69.62). The results for 5 samples with 2 positive cultures were 96% and 82%, respectively, and the likelihood ratio was 1.06. 16SPCR is more specific and has a better positive predictive value than culture for diagnosis of PJI. A positive 16SPCR result is largely suggestive of PJI, even when few samples are analyzed; however, culture is generally more sensitive.
Journal of Clinical Microbiology and Infectious Diseases
Pathogen identification in prosthetic joint infection is necessary to achieve optimal patient management. The specimens for diagnosis of prosthetic joint infection could be the synovial fluid, the tissue obtained intraoperatively, and the biofilm from the implanted prosthesis. Because of the low sensitivity of the conventional specimen culture method, the preanalytic treatment of the specimen was widely studied to increase the yield of detection. This review aimed to describe the current specimen processing methods used in the clinical setting to increase the pathogen detection rate. A blood culture bottle, tissue homogenization, and explanted prosthesis sonication were the most studied methods with a good result. Molecular methods were also developed to reduce the time of pathogen detection. MALDI-TOF was studied to reduce identification time after a positive culture. Other molecular methods such as polymerase chain reaction and next-generation sequencing were studied to omit the c...
Journal of clinical microbiology, 1998
A prospective study was performed to establish criteria for the microbiological diagnosis of prosthetic joint infection at elective revision arthroplasty. Patients were treated in a multidisciplinary unit dedicated to the management and study of musculoskeletal infection. Standard multiple samples of periprosthetic tissue were obtained at surgery, Gram stained, and cultured by direct and enrichment methods. With reference to histology as the criterion standard, sensitivities, specificities, and likelihood ratios (LRs) were calculated by using different cutoffs for the diagnosis of infection. We performed revisions on 334 patients over a 17-month period, of whom 297 were evaluable. The remaining 37 were excluded because histology results were unavailable or could not be interpreted due to underlying inflammatory joint disease. There were 41 infections, with only 65% of all samples sent from infected patients being culture positive, suggesting low numbers of bacteria in the samples ta...
Epidemiology and new developments in the diagnosis of prosthetic joint infection
The International Journal of Artificial Organs, 2012
Although prosthetic joint infection (PJI) is a rare event after arthroplasty, it represents a significant complication that is associated with high morbidity, need for complex treatment, and substantial healthcare costs. An accurate and rapid diagnosis of PJI is crucial for treatment success. Current diagnostic methods in PJI are insufficient with 10–30% false-negative cultures. Consequently, there is a need for research and development into new methods aimed at improving diagnostic accuracy and speed of detection. In this article, we review available conventional diagnostic methods for the diagnosis of PJI (laboratory markers, histopathology, synovial fluid and periprosthetic tissue cultures), new diagnostic methods (sonication of implants, specific and multiplex PCR, mass spectrometry) and innovative techniques under development (new laboratory markers, microcalorimetry, electrical method, reverse transcription [RT]-PCR, fluorescence in situ hybridization [FISH], biofilm microscop...