Familial Clustering Identified in Periprosthetic Joint Infection Following Primary Total Joint Arthroplasty

Anderson, Mike B.; Curtin, Karen; Wong, Jathine; Pelt, Christopher E.; Peters, Christopher L.; Gililland, Jeremy M.

doi:10.2106/jbjs.16.00514

Cited by 17 publications

(8 citation statements)

References 28 publications

(32 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although the FSIR and RR are dependent on several factors, including the prevalence of the disease in the population, our data are consistent with other studies examining the potential genetic contribution to other familial diseases using the UPDB. [43][44][45][46] Thus, the main finding of this study was that Kienböck's disease clusters in families within a large population-based cohort, which suggests that there may be a genetic basis to the etiology of this disease.…”

Section: Discussionmentioning

confidence: 65%

Evaluation for Kienböck Disease Familial Clustering: A Population-Based Cohort Study

Kazmers

Barker

et al. 2020

The Journal of Hand Surgery

View full text Add to dashboard Cite

Purpose: Kienböck's disease (KD) is rare, and its etiology remains unknown. As a result, the ideal treatment is also in question. Our primary purpose was to test the hypothesis that KD would demonstrate familial clustering in a large statewide population with comprehensive genealogical records, possibly suggesting a genetic etiologic contribution. Our secondary purpose was to evaluate for associations between KD and known risk factors for avascular necrosis.Methods: Patients diagnosed with KD were identified by searching medical records from a comprehensive statewide database, the Utah Population Database (UPDB). This database contains pedigrees dating back to the early 1800's, which are linked to 31 million medical records for 11 million patients dating from 1996 to present. Affected individuals were then mapped to pedigrees to identify high-risk families with an increased incidence of KD relative to control pedigrees. The magnitude of familial risk of KD in related individuals was calculated using Cox regression models. Association of risk factors related to KD was analyzed using conditional logistic regression. Results:We identified 394 affected individuals that are linked to 194 unrelated high-risk pedigrees with increased incidence of KD. The relative risk of developing KD was significantly *

show abstract

Section: Discussionmentioning

confidence: 65%

Evaluation for Kienböck Disease Familial Clustering: A Population-Based Cohort Study

Kazmers

Barker

et al. 2020

The Journal of Hand Surgery

View full text Add to dashboard Cite

show abstract

“…Familial susceptibility for the development of an SSI and increased susceptibility for PJI of patients whose relative have had a PJI have been reported. 75,76 Few studies have investigated gene polymorphisms where multiple small nucleotide polymorphisms (SNPs) in the mannose-binding lectin (MBL) gene, which has a role in opsonization and mediates complement activation, have increased risk for PJI.…”

Section: Geneticsmentioning

confidence: 99%

Periprosthetic joint infection and immunity: Current understanding of host–microbe interplay

Piuzzi,

Klika,

et al. 2023

Journal Orthopaedic Research

View full text Add to dashboard Cite

Periprosthetic joint infection is a major complication of total joint arthroplasty. Even with current treatments, failure rates are unacceptably high with a 5‐year mortality rate of 26%. Majority of the literature in the field has focused on development of better biomarkers for diagnostics and treatment strategies including innovate antibiotic delivery systems, anti‐biofilm agents, and bacteriophages. Nevertheless, the role of the immune system, our first line of defense during PJI, is not well understood. Evidence of infection in PJI patients is found within circulation, synovial fluid, and tissue and include numerous cytokines, metabolites, antimicrobial peptides, and soluble receptors that are part of the PJI diagnosis workup. Macrophages, neutrophils, and myeloid derived suppressor cells (MDSCs) are initially recruited into the joint by chemokines and cytokines produced by immune cells and bacteria and are activated by pathogen‐associated molecular patterns (PAMPs). While these cells are efficient killers of planktonic bacteria by phagocytosis, opsonization, degranulation, and recruitment of adaptive immune cells, biofilm‐associated bacteria are troublesome. Biofilm is not only a physical barrier for the immune system but also elicit effector functions. Additionally, bacteria have developed mechanisms to evade the immune system by inactivating effector molecules, promoting killing or anti‐inflammatory effector cell phenotypes, and intracellular persistence and dissemination. Understanding these shortcomings and the mechanisms by which bacteria can subvert the immune system may open new approaches to better prepare our own immune system to combat PJI. Furthermore, preoperative immune system assessment and screening for dysregulation may aid in developing preventative interventions to decrease PJI incidence.This article is protected by copyright. All rights reserved.

show abstract

“…Wound complications were assessed in 13 cohort studies ( 10 , 14 , 15 , 19 , 20 , 41 , 45 – 48 , 55 – 57 ) and seven case-control studies ( 16 , 24 , 34 , 38 , 39 , 42 , 58 ) involving 706,107 patients. Meta-analysis showed that smoking increased the risk of wound complications after THA and TKA ( OR 1.77, 95% CI 1.50–2.10; I 2 = 85%; Table 2 ).…”

Section: Surgical Complicationsmentioning

confidence: 99%

“…Data on prosthetic joint infection were extracted from eight cohort studies ( 10 , 20 , 41 , 46 – 48 , 56 , 57 ) and six case-control studies ( 24 , 34 , 38 , 39 , 42 , 58 ) involving 234,937 patients. Meta-analysis showed that patients who smoked were at higher risk of prosthetic joint infection than patients who did not ( OR 1.84, 95% CI 1.52–2.24; I 2 = 63%; Table 2 ).…”

Section: Surgical Complicationsmentioning

confidence: 99%

Associations between smoking and clinical outcomes after total hip and knee arthroplasty: A systematic review and meta-analysis

Chen

Cui²,

Ma³

et al. 2022

Front. Surg.

View full text Add to dashboard Cite

BackgroundSmoking increases risk of several complications after total hip or knee arthroplasty (THA/TKA), so we systematically reviewed and meta-analyzed the literature to take into account all relevant evidence, particularly studies published since 2010.MethodsThe PubMed, Ovid Embase, Web of Science, and EBSCOHost databases were searched and studies were selected and analyzed according to MOOSE recommendations. Methodological quality of included studies was assessed using the Newcastle-Ottawa Scale. Data were qualitatively synthesized or meta-analyzed using a random-effects model.ResultsA total of 40 studies involving 3,037,683 cases were included. Qualitative analysis suggested that smoking is associated with worse patient-reported outcomes within one year after surgery, and meta-analysis showed that smoking significantly increased risk of the following outcomes: total complications (OR 1.41, 95% CI 1.01–1.98), wound complications (OR 1.77, 95% CI 1.50–2.10), prosthetic joint infection (OR 1.84, 95% CI 1.52–2.24), aseptic loosening (OR 1.62, 95% CI 1.12–2.34), revision (OR 2.12, 95% CI 1.46–3.08), cardiac arrest (OR 4.90, 95% CI 2.26–10.60), cerebrovascular accident (OR 2.22, 95% CI 1.01–4.85), pneumonia (OR 2.35, 95% CI 1.17–4.74), acute renal insufficiency (OR 2.01, 95% CI 1.48–2.73), sepsis (OR 4.35, 95% CI 1.35–14.00), inpatient mortality (OR 12.37, 95% CI 4.46–34.28), and persistent opioid consumption (OR 1.64, 95% CI 1.39–1.92).ConclusionSmoking patients undergoing THA and TKA are at increased risk of numerous complications, inpatient mortality, persistent opioid consumption, and worse 1-year patient-reported outcomes. Pre-surgical protocols for these outcomes should give special consideration to smoking patients.

show abstract

Familial Clustering Identified in Periprosthetic Joint Infection Following Primary Total Joint Arthroplasty

Abstract: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Cited by 17 publications

References 28 publications

Evaluation for Kienböck Disease Familial Clustering: A Population-Based Cohort Study

Evaluation for Kienböck Disease Familial Clustering: A Population-Based Cohort Study

Periprosthetic joint infection and immunity: Current understanding of host–microbe interplay

Associations between smoking and clinical outcomes after total hip and knee arthroplasty: A systematic review and meta-analysis

Contact Info

Product

Resources

About