TY - JOUR
T1 - Trends in Periprosthetic Hip Infection and Associated Costs
T2 - A Population-Based Study Assessing the Impact of Hospital Factors Using National Data
AU - Brochin, Robert L.
AU - Phan, Kevin
AU - Poeran, Jashvant
AU - Zubizarreta, Nicole
AU - Galatz, Leesa M.
AU - Moucha, Calin S.
N1 - Funding Information:
In this retrospective cohort study, we extracted data from the National Inpatient Sample which is created for the Healthcare Cost and Utilization Project by the Agency for Healthcare Research and Quality. It is the largest national all-payer inpatient database in the United States and contains data on more than 7 million annual inpatient stays [9] . The database is a sample of 20% of the nation's discharges from community hospitals and provides weights for each case to calculate nationally representative numbers. It contains information on hospital characteristics and patient demographic and clinical information using the International Classification of Disease-9th Revision (ICD-9) codes. Our study cohort was defined (similar to previous studies [7] ) as any patient who underwent a revision for a hip arthroplasty procedure (ICD-9 codes 00.70, 00.71, 00.72, 00.73, 80.05, 81.53) from 2003 to 2013. PJI prevalence was defined as the percentage of revision cases with an ICD-9 diagnosis code (996.66) indicative of PJI. We excluded patients with missing information on costs (n = 6539), length of hospitalization (n = 2), and unknown mortality status (n = 71).
Publisher Copyright:
© 2018 Elsevier Inc.
PY - 2018/7
Y1 - 2018/7
N2 - Background: Periprosthetic joint infection (PJI) is an important cost driver in hip arthroplasty revisions, thus necessitating careful trend monitoring. Recent national trend data are lacking; we therefore assessed national PJI burden, trends in prevalence, and hospitalization costs. Methods: We extracted data on hip arthroplasty revisions from the National Inpatient Sample (2003-2013; n = 465,209). Trends in PJI prevalence and hospitalization costs were (1) assessed for the full cohort and (2) stratified by hospital teaching status, hospital bed size (≤299, 300-499, and ≥500 beds), and hospital region (Northeast, Midwest, South, and West). The Cochran-Armitage trend test (PJI prevalence) and linear regression (hospitalization costs) determined significance of trends. Trends were adjusted for patient's age, gender, insurance type, race, Deyo-Charlson comorbidities, obesity, length of stay, and hospital characteristics. Results: Overall, PJI prevalence was 15.0% (n = 70,011); adjusted prevalence increased from 13.1% in 2003 to 16.4% in 2013 (P <.0001), while adjusted median PJI hospitalization costs increased from $28,240 in 2003 to $31,529 in 2013 (P <.0001). Rural hospitals had the lowest PJI burden (12.5%; n = 4,525), while urban and teaching hospitals had the highest PJI burden (16.4%; n = 40,297). The stratified analyses, particularly in large hospitals (>500 beds), showed that PJI prevalence increased from 13.0% (2003) to 17.4% (2013; a 33.8% increase; P <.0001). Similarly, PJI revision hospitalization costs increased from a median of $27,490 (2003) to $31,312 (2013; a 14% increase; P <.0001). Conclusion: The burden of PJI in hip arthroplasty revision is increasing and—while additional research is needed—there appears to be a particular shift of revision burden to larger hospitals with increasing costs.
AB - Background: Periprosthetic joint infection (PJI) is an important cost driver in hip arthroplasty revisions, thus necessitating careful trend monitoring. Recent national trend data are lacking; we therefore assessed national PJI burden, trends in prevalence, and hospitalization costs. Methods: We extracted data on hip arthroplasty revisions from the National Inpatient Sample (2003-2013; n = 465,209). Trends in PJI prevalence and hospitalization costs were (1) assessed for the full cohort and (2) stratified by hospital teaching status, hospital bed size (≤299, 300-499, and ≥500 beds), and hospital region (Northeast, Midwest, South, and West). The Cochran-Armitage trend test (PJI prevalence) and linear regression (hospitalization costs) determined significance of trends. Trends were adjusted for patient's age, gender, insurance type, race, Deyo-Charlson comorbidities, obesity, length of stay, and hospital characteristics. Results: Overall, PJI prevalence was 15.0% (n = 70,011); adjusted prevalence increased from 13.1% in 2003 to 16.4% in 2013 (P <.0001), while adjusted median PJI hospitalization costs increased from $28,240 in 2003 to $31,529 in 2013 (P <.0001). Rural hospitals had the lowest PJI burden (12.5%; n = 4,525), while urban and teaching hospitals had the highest PJI burden (16.4%; n = 40,297). The stratified analyses, particularly in large hospitals (>500 beds), showed that PJI prevalence increased from 13.0% (2003) to 17.4% (2013; a 33.8% increase; P <.0001). Similarly, PJI revision hospitalization costs increased from a median of $27,490 (2003) to $31,312 (2013; a 14% increase; P <.0001). Conclusion: The burden of PJI in hip arthroplasty revision is increasing and—while additional research is needed—there appears to be a particular shift of revision burden to larger hospitals with increasing costs.
KW - costs
KW - epidemiology
KW - hip arthroplasty revision
KW - periprosthetic joint infection
KW - trends
UR - http://www.scopus.com/inward/record.url?scp=85044310224&partnerID=8YFLogxK
U2 - 10.1016/j.arth.2018.02.062
DO - 10.1016/j.arth.2018.02.062
M3 - Article
C2 - 29573912
AN - SCOPUS:85044310224
SN - 0883-5403
VL - 33
SP - S233-S238
JO - Journal of Arthroplasty
JF - Journal of Arthroplasty
IS - 7
ER -