ArticleClinical orthopaedics and related research2020
What Are Risk Factors for Infection after Primary or Revision Total Joint Arthroplasty in Patients Older Than 80 Years?
Article in Clinical orthopaedics and related research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.
- Factors associated with periprosthetic joint infection following total knee arthroplasty: an updated systematic review and meta-analysis.Archives of orthopaedic and trauma surgery · 2026Pooled it
- Patients' risk factors for periprosthetic joint infection in primary total hip arthroplasty: a meta-analysis of 40 studies.BMC musculoskeletal disorders · 2021Pooled it
- Perioperative Dexamethasone Is Associated With a Reduced Risk of Periprosthetic Joint Infection Following Aseptic Revision Total Hip and Knee Arthroplasty.Arthroplasty today · 2026Article
- Comparative morbidity and mortality following primary total shoulder arthroplasty in octogenarians with and without diabetes in the United States.Journal of clinical orthopaedics and trauma · 2025Article
- Temporal Patterns and Treatment Associations in Complications Following Hip Arthroplasty.Diagnostics (Basel, Switzerland) · 2025Article
- Monitoring of blood biochemical markers for periprosthetic joint infection using ensemble machine learning and UMAP embedding.Archives of orthopaedic and trauma surgery · 2023Article
- Comparison study of patient demographics and risk factors for infections following primary total hip arthroplasty for femoral neck fractures.Archives of orthopaedic and trauma surgery · 2022Article
- The Impact of Corticosteroid Injection Timing on Infection Rates Following Spine Surgery: A Systematic Review and Meta-Analysis.Global spine journal · 2022Article
- Preoperative Patient Optimization in Total Joint Arthroplasty-The Paradigm Shift from Preoperative Clearance: A Narrative Review.HSS journal : the musculoskeletal journal of Hospital for Special Surgery · 2022Review
- The Definition of the Term "Orthogeriatric Infection" for Periprosthetic Joint Infections.Geriatric orthopaedic surgery & rehabilitation · 2022Article
- Prediction of Early Periprosthetic Joint Infection After Total Hip Arthroplasty.Clinical epidemiology · 2022Article
- Comment on article by Palazzuolo et al.: Total knee arthroplasty improves the quality-adjusted life years in patients who exceeded their estimated life expectancy.International orthopaedics · 2021Article
- Editorial Comment: 2019 Musculoskeletal Infection Society Proceedings.Clinical orthopaedics and related research · 2020Article
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Authors and funding
12 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatients older than 80 years of age form an increasing proportion of the patient population undergoing total joint arthroplasty (TJA). With increasing life expectancy and the success of TJA, orthopaedic surgeons are more likely to operate on patients older than 80 years than ever before. Given that most other studies focus on younger populations, only evaluate primary TJA, or limit patient populations to institutional or regional data, we felt a large-database, nationwide analysis of this demographic cohort was warranted, and we wished to consider both primary and revision TJA. QUESTIONS/PURPOSES: In this study, we sought to investigate the risk factors for surgical site infections (SSIs) at 90 days and periprosthetic joint infections (PJIs) at 2 years after surgery in patients aged 80 years and older undergoing (1) primary and (2) revision lower extremity TJA.
methodsAll patients aged 80 years or older who underwent primary or revision TJA between 2005 and 2014 were identified using the Medicare Analytical Files of the PearlDiver Supercomputer using ICD-9 codes. This database is unique in that it is one of the largest nationwide databases, and so it provides a large enough sample size of patients 80 years or older. Additionally, this database provides comprehensive and longitudinal patient data tracking, and a low error rate. Our final cohort consisted of 503,241 patients (TKA: n = 275,717; THA: n = 162,489; revision TKA: n = 28,779; revision THA: n = 36,256). Multivariate logistic regression models were constructed to evaluate the association of risk factors on the incidences of 90-day SSI and 2-year PJI. Variables such as sex, diabetes, BMI, and congestive heart failure, were included in the multivariate regression models. Several high-risk comorbidities as identified by the Charlson and Elixhauser comorbidity indices were selected to construct the models. We performed a Bonferroni-adjusted correction to account for the fact that multiple statistical comparisons were made, with a p value < 0.002 being considered statistically significant.
resultsFor primary TKA patients, an increased risk of 90-day SSIs was associated with male sex (OR 1.28 [95% CI 1.25 to 1.52]; p < 0.001), BMI greater than 25 k/m (p < 0.001), and other comorbidities. For primary THA patients, an increased risk of 90-day SSIs was associated with patients with obesity (BMI 30-39 kg/m; OR 1.91 [95% CI 1.60 to 2.26]; p < 0.001) and those with morbid obesity (BMI 40-70 kg/m; OR 2.58 [95% CI 1.95 to 3.36]; p < 0.001). For revision TKA patients, an increased risk of SSI was associated with iron-deficiency anemia (OR 1.82 [95% CI 1.37 to 2.28]; p < 0.001). For revision THA patients, electrolyte imbalance (OR 1.48 [95% CI 1.23 to 1.79]; p < 0.001) and iron-deficiency anemia (OR 1.63 [95% CI 1.35 to 1.99]; p < 0.001) were associated with an increased risk of 90-day SSI. Similar associations were noted for PJI in each cohort.
conclusionsThese findings show that in this population, male sex, obesity, hypertension, iron-deficiency anemia, among other high-risk comorbidities are associated with a higher risk of SSIs and PJIs. Based on these findings, orthopaedic surgeons should actively engage in comanagement strategies with internists and other specialists to address modifiable risk factors through practices such as weight management programs, blood pressure reduction, and electrolyte balancing. Furthermore, this data should encourage healthcare systems and policy makers to recognize that this patient demographic is at increased risks for PJI or SSI, and these risks must be considered when negotiating payment bundles. LEVEL OF EVIDENCE: Level III, therapeutic study.
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