Synovial Fluid NGAL Accurately Diagnoses Prosthetic Joint Infection
By LabMedica International staff writers Posted on 04 Oct 2022 |

Prosthetic joint infection (PJI) is a serious complication that is difficult to diagnose after joint arthroplasty and seriously affects the physical and mental health of patients. Current studies suggest that PJI is a relatively limited infectious disease, and the synovial fluid (SF) biomarkers more directly reflect the nature and extent of inflammation.
The previous use of antimicrobial therapies will significantly decrease the sensitivities of either serum or the synovial fluid (SF) biomarkers. Inaccurate diagnosis may lead to incorrect treatment options and poor prognosis. Neutrophil gelatinase-associated lipocalin (NGAL) has been used for the early identification of bacterial and viral infections in blood and cerebrospinal fluid.
Orthopaedic Surgeons at the Fujian Medical University (Fuzhou, China) included in a prospective study in a single osteoarticular infection referral center, in which consecutive patients who needed revision surgery after hip and knee arthroplasty due to PJI or aseptic prosthesis loosening from January 2017 to September 2018. A total of 78 patients who underwent hip or knee revision surgery were included in the study.
The scientists collected 0.5 mL of the SF for the white blood cell count (SF-WBC) and neutrophil classification. A total of 1 mL of the SF was frozen at -80 °C for NGAL determination. The remaining SF was used for microbiological culture. SF was injected into Bactec Plus/F aerobic or Bactec Peds Plus/F blood culture bottles and anaerobic blood culture bottles (Becton-Dickinson, Heidelberg Germany). The plates and bottles were incubated for 14 days in a Bactec 9050 automatic incubator.
The periprosthetic tissue was cut into pieces, added to the broth for grinding, and then cultured for aerobic and anaerobic bacteria on a blood plate for 14 days. The Vitek II system (bioMérieux, Durham, NC, USA) was used for microbial identification and antibiotic susceptibility testing. The SF samples were centrifuged and diluted appropriately before assaying. The team determined NGAL levels using the NGAL Duo Set ELISA Kits (R&D Systems, Minneapolis, MN, USA). The level of NGAL in the SF was measured in duplicate.
The investigators reported that a total of 50 of 78 included patients were diagnosed with PJI. A total of 40 cases were positively cultured. The most common pathogen was Staphylococcus aureus in 10 (25%) patients, followed by coagulase-negative staphylococci in seven patients, and gram-negative bacilli in seven patients (17.5%), and other pathogens in 16 patients. The median SF-NGAL level was 3,633 ng/mL (interquartile range [IQR], 1,332-10,737) in the PJI group and 26.8 ng/mL (IQR, 12.4-52.5) in the aseptic failure group. When the SF-NGAL threshold was 263 ng/mL, the area under the curve was 0.98, the sensitivity was 92.9%, and the specificity was 98%. The median level was 5,779 ng/mL (IQR, 1425-13,072) in the antibiotic group and 2,590 ng/mL (IQR, 932-8,970) in the non-antibiotic group.
The authors concluded that NGAL in the SF has both high sensitivity and specificity for the PJI diagnostics. The previous use of antibiotics does not affect the level of the SF-NGAL. The SF-NGAL can be used as a potential laboratory indicator for diagnosing PJI. The study was published on October 1, 2022 in the International Journal of Infectious Diseases.
Related Links:
Fujian Medical University
Becton-Dickinson
bioMérieux
R&D Systems
Latest Pathology News
- AI-Based Model Predicts Kidney Cancer Therapy Response
- Sensitive and Specific DUB Enzyme Assay Kits Require Minimal Setup Without Substrate Preparation
- World’s First AI Model for Thyroid Cancer Diagnosis Achieves Over 90% Accuracy
- Breakthrough Diagnostic Approach to Significantly Improve TB Detection
- Rapid, Ultra-Sensitive, PCR-Free Detection Method Makes Genetic Analysis More Accessible
- Spit Test More Accurate at Identifying Future Prostate Cancer Risk
- DNA Nanotechnology Boosts Sensitivity of Test Strips
- Novel UV and Machine Learning-Aided Method Detects Microbial Contamination in Cell Cultures
- New Error-Corrected Method to Help Detect Cancer from Blood Samples Alone
- "Metal Detector" Algorithm Hunts Down Vulnerable Tumors
- Novel Technique Uses ‘Sugar’ Signatures to Identify and Classify Pancreatic Cancer Cell Subtypes
- Advanced Imaging Reveals Mechanisms Causing Autoimmune Disease
- AI Model Effectively Predicts Patient Outcomes in Common Lung Cancer Type
- AI Model Predicts Patient Response to Bladder Cancer Treatment
- New Laser-Based Method to Accelerate Cancer Diagnosis
- New AI Model Predicts Gene Variants’ Effects on Specific Diseases
Channels
Molecular Diagnostics
view channel
Genetic-Based Tool Predicts Survival Outcomes of Pancreatic Cancer Patients
A tumor marker is a substance found in the body that may signal the presence of cancer. These substances, which can include proteins, genes, molecules, or other biological compounds, are either produced... Read more
Urine Test Diagnoses Early-Stage Prostate Cancer
Prostate cancer is one of the leading causes of death among men worldwide. A major challenge in diagnosing the disease is the absence of reliable biomarkers that can detect early-stage tumors.... Read moreHematology
view channel
New Scoring System Predicts Risk of Developing Cancer from Common Blood Disorder
Clonal cytopenia of undetermined significance (CCUS) is a blood disorder commonly found in older adults, characterized by mutations in blood cells and a low blood count, but without any obvious cause or... Read more
Non-Invasive Prenatal Test for Fetal RhD Status Demonstrates 100% Accuracy
In the United States, approximately 15% of pregnant individuals are RhD-negative. However, in about 40% of these cases, the fetus is also RhD-negative, making the administration of RhoGAM unnecessary.... Read moreImmunology
view channel
Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer
Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more
Machine Learning-Enabled Blood Test Predicts Immunotherapy Response in Lymphoma Patients
Chimeric antigen receptor (CAR) T-cell therapy has emerged as one of the most promising recent developments in the treatment of blood cancers. However, over half of non-Hodgkin lymphoma (NHL) patients... Read moreMicrobiology
view channel
New Test Diagnoses Bacterial Meningitis Quickly and Accurately
Bacterial meningitis is a potentially fatal condition, with one in six patients dying and half of the survivors experiencing lasting symptoms. Therefore, rapid diagnosis and treatment are critical.... Read more
Handheld Device Delivers Low-Cost TB Results in Less Than One Hour
Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more
New AI-Based Method Improves Diagnosis of Drug-Resistant Infections
Drug-resistant infections, particularly those caused by deadly bacteria like tuberculosis and staphylococcus, are rapidly emerging as a global health emergency. These infections are more difficult to treat,... Read more
Breakthrough Diagnostic Technology Identifies Bacterial Infections with Almost 100% Accuracy within Three Hours
Rapid and precise identification of pathogenic microbes in patient samples is essential for the effective treatment of acute infectious diseases, such as sepsis. The fluorescence in situ hybridization... Read morePathology
view channel
AI-Based Model Predicts Kidney Cancer Therapy Response
Each year, nearly 435,000 individuals are diagnosed with clear cell renal cell carcinoma (ccRCC), making it the most prevalent subtype of kidney cancer. When the disease spreads, anti-angiogenic therapies... Read more
Sensitive and Specific DUB Enzyme Assay Kits Require Minimal Setup Without Substrate Preparation
Ubiquitination and deubiquitination are two important physiological processes in the ubiquitin-proteasome system, responsible for protein degradation in cells. Deubiquitinating (DUB) enzymes contain around... Read moreTechnology
view channel
Light Signature Algorithm to Enable Faster and More Precise Medical Diagnoses
Every material or molecule interacts with light in a unique way, creating a distinct pattern, much like a fingerprint. Optical spectroscopy, which involves shining a laser on a material and observing how... Read more
Disposable Microchip Technology Could Selectively Detect HIV in Whole Blood Samples
As of the end of 2023, approximately 40 million people globally were living with HIV, and around 630,000 individuals died from AIDS-related illnesses that same year. Despite a substantial decline in deaths... Read more
Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples
Chronic pain is a widespread condition that remains difficult to manage, and existing clinical methods for its treatment rely largely on self-reporting, which can be subjective and especially problematic... Read more
Innovative, Label-Free Ratiometric Fluorosensor Enables More Sensitive Viral RNA Detection
Viruses present a major global health risk, as demonstrated by recent pandemics, making early detection and identification essential for preventing new outbreaks. While traditional detection methods are... Read moreIndustry
view channel
Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions
Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Grifols and Tecan’s IBL Collaborate on Advanced Biomarker Panels
Grifols (Barcelona, Spain), one of the world’s leading producers of plasma-derived medicines and innovative diagnostic solutions, is expanding its offer in clinical diagnostics through a strategic partnership... Read more