The Interaction of Obesity and Metabolic Syndrome in Determining Risk of Complication Following Total Joint Arthroplasty

2016 ◽  
Vol 31 (9) ◽  
pp. 192-196 ◽  
Author(s):  
Adam I. Edelstein ◽  
Linda I. Suleiman ◽  
Andrew P. Alvarez ◽  
Ryan M. Sacotte ◽  
Charles D. Qin ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Total Joint Arthroplasty ◽  
Joint Arthroplasty

Quantifying Cardiovascular Risks in Patients With Metabolic Syndrome Undergoing Total Joint Arthroplasty

2012 ◽  
Vol 27 (4) ◽  
pp. 514-519 ◽  
Author(s):  
Kishor Gandhi ◽  
Eugene R. Viscusi ◽  
Eric S. Schwenk ◽  
Luis Pulido ◽  
Javad Parvizi
Keyword(s):  
Metabolic Syndrome ◽  
Total Joint Arthroplasty ◽  
Joint Arthroplasty ◽  
Cardiovascular Risks

Impact of Metabolic Syndrome on Perioperative Complication Rates After Total Joint Arthroplasty Surgery

2014 ◽  
Vol 29 (9) ◽  
pp. 1842-1845 ◽  
Author(s):  
Mark J. Gage ◽  
Ran Schwarzkopf ◽  
Michael Abrouk ◽  
James D. Slover
Keyword(s):  
Metabolic Syndrome ◽  
Total Joint Arthroplasty ◽  
Joint Arthroplasty ◽  
Complication Rates ◽  
Perioperative Complication ◽  
Arthroplasty Surgery

Patients With Uncontrolled Components of Metabolic Syndrome Have Increased Risk of Complications Following Total Joint Arthroplasty

2013 ◽  
Vol 28 (6) ◽  
pp. 904-907 ◽  
Author(s):  
Benjamin Zmistowski ◽  
Ismar Dizdarevic ◽  
Christina L. Jacovides ◽  
Kris E. Radcliff ◽  
Boris Mraovic ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Total Joint Arthroplasty ◽  
Joint Arthroplasty ◽  
Increased Risk

scholarly journals The Potential Role of Ferritin in Relation to Inflammatory and Metabolic Syndrome Biomarkers in Patients Undergoing Total Joint Arthroplasty of the Hip or Knee

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 4560-4560
Author(s):  
Christopher Wanderling ◽  
Jeffrey Liles ◽  
Peter Carlsgaard ◽  
Jennifer Saluk ◽  
Daneyal Syed ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Standard Deviation ◽  
Total Joint Arthroplasty ◽  
Joint Arthroplasty ◽  
Iron Regulation ◽  
Healthy Controls ◽  
Plasma Samples ◽  
Blood Samples ◽  
C Peptide ◽  
Pai 1

Abstract Introduction: Maintaining proper iron regulation systemically is crucial in preserving systemic homeostasis. Ferritin is known to be a key component in this regulation by acting as a buffer via the controlled binding and releasing of iron. Ferritin is not only crucial in iron regulation, but it has also been observed to be a biomarker of inflammation. Considering this observation, it may be possible that ferritin plays a role in the pathogenesis of degenerative joint diseases (DJD). It has been identified that patients who had underwent total joint arthroplasty (TJA) procedure had increased serum levels of ferritin both pre-operatively and post-operatively. The rate of TJA procedures has been progressively increasing and it is projected that TJA procedures will increase to over 4 million procedures performed by 2030. In consideration of this observation, it is becoming increasingly important to gain a more comprehensive understanding in the pathology of DJD that require TJA procedure. The aim of this study is to examine the levels of ferritin in TJA patients pre-operatively and compare this level with those of other inflammatory and metabolic syndrome biomarkers in the patient samples while comparing the ferritin measurement to that of healthy controls. Study Design and Methods: After approval of the Institutional Review Board (IRB), pre-operative day one and post-operative day one blood samples of 45 TJA patients who underwent total knee arthroplasty (TKA) or total hip arthroplasty (THA) procedure were obtained as de-identified samples. Blood samples were collected into tubes containing 3.2% (0.109M) sodium citrate, plasma was then isolated. Control citrated plasma samples from non-smoking, drug-free, volunteers (age 18-35 years old) were obtained from from a certified vendor (George King Biomedical, Overland Park, KS). Plasma samples were stored at -80O C. The plasma samples were profiled for ferritin, C-peptide, insulin, IL-6, resistin, IL-1a, and PAI-1 utilizing a biochip array technology (RANDOX, Antrim, UK). All individual results were compiled as mean+1 SD and are summarized in the following table. The Mann-Whitney U test and the Spearman correlation test were used to analyze patient and control samples. Results: Table. Normal Mean + standard deviation Pre-op Mean + standard deviation Post-op Mean + standard deviation Ferritin (ng/ml) 68.44±74.23 125.0±121.0 73.79±71.29 C-peptide (ng/ml) 3.22±2.577 2.65±2.986 3.40±3.64 IL-6 (pg/ml) 0.818±0.5228 27.18±41.18 55.69±38.74 Resistin (ng/ml) 2.49±0.7406 5.34±4.976 6.39±4.95 Insulin (uIU/ml) 20.77±19.01 37.75±82.58 41.39±77.53 IL-1a (pg/ml) 0.418±0.1507 0.663±0.7824 1.29±1.39 PAI-1 (ng/ml) 3.21±4.127 14.98±9.836 17.89±11.58 There were significant increases in pre-operative levels of ferritin (p=0.0305), IL-6 (p<0.0001), resistin, (p<0.0001), IL-1a (p=0.0483), and PAI-1 (p<0.0001). There were insignificant alterations in the levels of C-peptide (decreased) and insulin (increased) in the pre-operative samples when compared with the healthy controls. Pre-operative correlations were observed between ferritin and each of the measured biomarkers; C-peptide (p=0.0043, R=0.324), IL-6 (p=0.00034, R=0.40), resistin (p=0.00043 R=0.394), insulin (p=0.00054, R=0.388), IL-1a (p=0.0256, R=-0.256), and PAI-1 (p<0.0001, R=0.460). Post-operative correlations were observed between ferritin and C-peptide (p=0.0008, R=0.529), as well as Insulin (p=0.0037, R=0.372). There was a correlation observed between pre-operative and post-operative levels of ferritin (p=0.0035, R=0.4943). Interestingly, the post-op values for ferritin dramatically decreased despite an increase in all other inflammatory and metabolic biomarkers. Conclusions: Understanding the factors that may affect ferritin regulation in TJA patients may be helpful in the management of DJD. Profiling inflammatory and metabolic syndrome biomarkers, including ferritin, may provide dynamic management options in the future that not only reduce adverse outcomes in these patients but also control the progression of degenerative processes. Disclosures No relevant conflicts of interest to declare.

Prevalence of metabolic syndrome in patients undergoing total joint arthroplasty and relevance of biomarkers

2017 ◽  
Vol 36 (2) ◽  
Author(s):  
Jennifer Saluk ◽  
Andrew Banos ◽  
William Hopkinson ◽  
Harold Rees ◽  
Danyel Syed ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Total Joint Arthroplasty ◽  
Joint Arthroplasty

The Impact of Metabolic Syndrome on 30-Day Complications Following Total Joint Arthroplasty

2017 ◽  
Vol 32 (2) ◽  
pp. 362-366 ◽  
Author(s):  
Adam I. Edelstein ◽  
Francis Lovecchio ◽  
Dimitri E. Delagrammaticas ◽  
David W. Fitz ◽  
Kevin D. Hardt ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Total Joint Arthroplasty ◽  
Joint Arthroplasty ◽  
The Impact

Cancer after Total Joint Arthroplasty: A Meta-analysis

2007 ◽  
Vol 2007 ◽  
pp. 14-15
Author(s):  
B.F. Morrey
Keyword(s):  
Total Joint Arthroplasty ◽  
Meta Analysis ◽  
Joint Arthroplasty

Inheritable Risk Factors for Venous Thromboembolism in Patients Undergoing Lower Extremity Total Joint Arthroplasty

2013 ◽  
Vol 23 (4) ◽  
pp. 293-300
Author(s):  
D. Alex Stroh ◽  
Kimona Issa ◽  
Samik Banerjee ◽  
Jesse Allert ◽  
Eiman Shafa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Venous Thromboembolism ◽  
Lower Extremity ◽  
Total Joint Arthroplasty ◽  
Joint Arthroplasty
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