Skip to main content

Main menu

  • Home
  • Content
    • First Release
    • Current
    • Archives
    • Collections
    • Audiovisual Rheum
    • 50th Volume Reprints
  • Resources
    • Guide for Authors
    • Submit Manuscript
    • Payment
    • Reviewers
    • Advertisers
    • Classified Ads
    • Reprints and Translations
    • Permissions
    • Meetings
    • FAQ
    • Policies
  • Subscribers
    • Subscription Information
    • Purchase Subscription
    • Your Account
    • Terms and Conditions
  • About Us
    • About Us
    • Editorial Board
    • Letter from the Editor
    • Duncan A. Gordon Award
    • Privacy/GDPR Policy
    • Accessibility
  • Contact Us
  • JRheum Supplements
  • Services

User menu

  • My Cart
  • Log In

Search

  • Advanced search
The Journal of Rheumatology
  • JRheum Supplements
  • Services
  • My Cart
  • Log In
The Journal of Rheumatology

Advanced Search

  • Home
  • Content
    • First Release
    • Current
    • Archives
    • Collections
    • Audiovisual Rheum
    • 50th Volume Reprints
  • Resources
    • Guide for Authors
    • Submit Manuscript
    • Payment
    • Reviewers
    • Advertisers
    • Classified Ads
    • Reprints and Translations
    • Permissions
    • Meetings
    • FAQ
    • Policies
  • Subscribers
    • Subscription Information
    • Purchase Subscription
    • Your Account
    • Terms and Conditions
  • About Us
    • About Us
    • Editorial Board
    • Letter from the Editor
    • Duncan A. Gordon Award
    • Privacy/GDPR Policy
    • Accessibility
  • Contact Us
  • Follow Jrheum on BlueSky
  • Follow jrheum on Twitter
  • Visit jrheum on Facebook
  • Follow jrheum on LinkedIn
  • Follow jrheum on YouTube
  • Follow jrheum on Instagram
  • Follow jrheum on RSS
Research ArticleSystemic Sclerosis

How Systemic Sclerosis Affects Healthcare Use and Complication Rates after Total Hip Arthroplasty

Jasvinder A. Singh and John D. Cleveland
The Journal of Rheumatology August 2020, 47 (8) 1218-1223; DOI: https://doi.org/10.3899/jrheum.190783
Jasvinder A. Singh
From the Birmingham Veterans Affairs (VA) Medical Center, Birmingham, Alabama; Department of Medicine at the School of Medicine, and Division of Epidemiology at the School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Jasvinder A. Singh
  • For correspondence: Jasvinder.md{at}gmail.com
John D. Cleveland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • References
  • PDF
PreviousNext
Loading

Article Figures & Data

Tables

    • View popup
    Table 1A.

    Demographic and other cohort characteristics.

    National Estimates*Entire Cohort, n = 4,116,485*No SSc, n = 4,113,813*SSc, n = 2672*
    Age, yrs, mean (SE); median65.2 (0.04); 65.965.5 (0.04); 66.063.6 (0.54); 64.5
    Age category, yrs
      < 50449,642 (10.9)449,321 (10.9)321 (12.0)
      50–641,364,821 (33.2)1,363,891 (33.2)930 (34.8)
      65–791,732,014 (42.1)1,730,790 (42.1)1224 (45.8)
      ≥ 80566,521 (13.8)566,324 (13.8)197 (7.4)
    Sex
      Female2,330,188 (56.6)2,327,919 (56.6)2269 (84.9)
      Male1,776,722 (43.2)1,776,320 (43.2)402 (15.1)
    Race
      White2,882,041 (70.0)2,880,179 (70.0)1862 (69.7)
      Black225,772 (5.5)225,583 (5.5)189 (7.1)
      Hispanic104,385 (2.5)104,255 (2.5)130 (4.9)
      Other/missing904,234 (22.0)903,743 (22.0)491 (18.4)
    Deyo-Charlson Score
      02,193,575 (53.3)2,193,575 (53.3)0 (0.0)
      1926,287 (22.5)924,825 (22.5)1462 (54.7)
      ≥ 2996,624 (24.2)995,414 (24.2)1210 (45.3)
    Primary diagnosis
      RA29,174 (0.7)29,099 (0.7)75 (2.8)
      Avascular bone necrosis285,622 (6.9)285,200 (6.9)422 (15.8)
      Osteoarthritis3,447,224 (83.7)3,445,373 (83.8)1851 (69.3)
      Other354,307 (8.6)353,984 (8.6)323 (12.1)
      Fracture117 (0.0)117 (0.0)0 (0.0)
    Insurance
      Medicaid138,809 (3.4)138,727 (3.4)82 (3.1)
      Medicare2,234,674 (54.3)2,233,071 (54.3)1603 (60.0)
      Other102,276 (2.5)102,246 (2.5)30 (1.1)
      Private1,600,830 (38.9)1,599,902 (38.9)928 (34.7)
      Self32,307 (0.8)32,293 (0.8)14 (0.5)
    Income category
      0–25th percentile653,243 (15.9)652,828 (15.9)415 (15.5)
      25th–50th percentile1,009,677 (24.5)1,009,042 (24.5)635 (23.8)
      50th–75th percentile1,086,953 (26.4)1,086,239 (26.4)714 (26.7)
      75th–100th percentile1,285,855 (31.2)1,284,984 (31.2)871 (32.6)
    Hospital location/teaching
      Rural444,188 (10.8)444,031 (10.8)157 (5.9)
      Urban1,722,390 (41.8)1,721,393 (41.8)997 (37.3)
      Urban teaching1,939,988 (47.1)1,938,471 (47.1)1517 (56.8)
    Hospital bed size
      Small685,209 (16.6)684,783 (16.6)426 (15.9)
      Medium1,037,562 (25.2)1,036,856 (25.2)706 (26.4)
      Large2,383,797 (57.9)2,382,257 (57.9)1540 (57.6)
    Hospital region
      Northeast818,699 (19.9)818,058 (19.9)641 (24.0)
      Midwest1,089,883 (26.5)1,089,259 (26.5)624 (23.4)
      South1,358,856 (33.0)1,357,985 (33.0)871 (32.6)
      West849,045 (20.6)848,511 (20.6)534 (20.0)
    • View popup
    Table 1B.

    In-hospital complications*** and healthcare use.

    National Estimates*Entire Cohort, n = 4,116,485*No SSc, n = 4,113,813*SSc, n = 2672*
    Infection7592 (0.2)7588 (0.2)4 (0.2)
    Revision17,931 (0.4)17,882 (0.4)49 (1.8)
    Transfusion937,803 (22.8)936,912 (22.8)891 (33.3)
    Death8890 (0.2)8871 (0.2)19 (0.7)
    Discharge status
      Home2,448,107 (59.5)2,446,763 (59.5)1344 (50.3)
      Inpatient facility1,649,103 (40.1)1,647,798 (40.1)1305 (48.8)
    Length of stay, days, mean (SE); median3.71 (0.01); 2.743.73 (0.01); 2.754.02 (0.11); 3.00
    Length of stay, days**
      ≤ 32,499,883 (60.7)2,498,544 (60.7)1339 (50.1)
      > 31,616,602 (39.3)1,615,270 (39.3)1332 (49.9)
    Total hospital charges, US$, mean (SE); median44,635 (268); 37,65844,865 (269); 37,79147,164 (1526); 38,964
      1998–200023,556 (275); 20,85823,557 (275); 20,85921,030 (991); 18,844
      2001–200229,210 (431); 25,43229,209 (431); 25,43331,410 (3509); 24,043
      2003–200436,086 (598); 31,35936,083 (599); 31,35841,392 (4074); 34,920
      2005–200640,678 (623); 35,38340,677 (623); 35,38241,685 (3618); 38,299
      2007–200847,216 (787); 41,42347,215 (788); 41,42448,395 (4782); 38,262
      2009–201049,918 (1062); 43,30449,920 (1061); 43,30547,166 (3034); 39,779
      2011–201256,395 (848); 48,91756,390 (848); 48,91463,758 (4187); 52,486
      2013–201458,964 (532); 51,15758,963 (532); 51,15661,477 (3953); 55,591
    • Values are n (%) unless otherwise specified.

    • ↵* US national estimates were based on the National Inpatient Sample, a 20% sample of all US hospitalizations; details are available at: www.hcup-us.ahrq.gov/nisoverview.jsp. The actual numbers were entire cohort, n = 855,634; no systemic sclerosis, n = 855,079; and systemic sclerosis, n = 555.

    • ↵** Length of hospital stay dichotomized at 3 days, by rounding off the median of 2.7 days to 3 days.

    • ↵*** Infection was identified by the presence of ICD-9-CM code 711.xx, 730.xx, 996.66, or 996.67. Transfusion was identified with the ICD-9-CM code of 99.0x. Revision was identified with ICD-9-CM codes of 81.53, 00.70, 00.72, 00.73, 84.56, 84.57 or 80.05. SSc: systemic sclerosis; SE: standard error; ICD-9-CM; International Classification of Diseases, 9th revision, Clinical Modification; RA: rheumatoid arthritis.

    • View popup
    Table 2.

    Multivariable-adjusted association of SSc and other clinical variables with healthcare use outcomes and in-hospital implant infection, transfusion, revision, and mortality post-primary THA*.

    VariablesTotal Hospital Charges above the Median**Discharge to Non-home SettingsLength of Hospital Stay > 3 DaysIn-hospital Implant InfectionIn-hospital TransfusionIn-hospital Revision SurgeryIn-hospital Mortality
    SSc0.90 (0.76–1.07)1.25 (1.03–1.50)1.61 (1.35–1.92)0.93 (0.22–3.99)1.54 (1.28–1.84)9.53 (6.75–13.46)2.19 (0.99–4.86)
    Age category, yrs
      < 50RefRefRefRefRefRefRef
      50–640.86 (0.82–0.90)1.75 (1.71–1.78)1.09 (1.08–1.11)0.97 (0.82–1.16)1.11 (1.09–1.13)0.96 (0.84–1.11)0.77 (0.71–0.83)
      65–790.88 (0.84–0.93)3.36 (3.28–3.44)1.37 (1.35–1.40)0.93 (0.74–1.15)1.30 (1.26–1.33)0.90 (0.76–1.07)0.90 (0.81–1.01)
      ≥ 801.01 (0.95–1.07)10.75 (10.46–11.04)1.95 (1.90–1.99)0.94 (0.74–1.19)1.85 (1.80–1.90)0.92 (0.76–1.11)2.50 (2.24–2.80)
    Sex
      MaleRefRefRefRefRefRefRef
      Female0.97 (0.95–1.00)1.73 (1.71–1.75)1.20 (1.19–1.21)0.95 (0.87–1.04)1.68 (1.66–1.70)1.01 (0.93–1.09)0.91 (0.86–0.97)
    Race/ethnicity
      WhiteRefRefRefRefRefRefRef
      Black0.61 (0.58–0.64)1.67 (1.63–1.70)1.38 (1.35–1.41)1.16 (0.95–1.41)1.39 (1.36–1.42)1.24 (1.05–1.47)1.07 (0.92–1.24)
      Hispanic0.41 (0.39–0.43)1.40 (1.35–1.44)1.33 (1.29–1.37)1.24 (0.96–1.61)1.33 (1.29–1.37)1.04 (0.83–1.30)0.86 (0.73–1.01)
      Other/missing2.50 (2.40–2.61)1.06 (1.05–1.07)1.39 (1.37–1.40)1.04 (0.93–1.16)0.93 (0.92–0.94)1.10 (1.00–1.22)1.00 (0.93–1.07)
    Deyo-Charlson score
      0RefRefRefRefRefRefRef
      10.96 (0.93–0.99)1.20 (1.19–1.22)0.95 (0.94–0.96)1.02 (0.91–1.14)0.96 (0.95–0.97)0.93 (0.84–1.03)1.09 (1.02–1.17)
      ≥ 20.75 (0.73–0.78)0.95 (0.94–0.97)0.58 (0.58–0.59)1.04 (0.94–1.16)0.78 (0.77–0.79)0.92 (0.83–1.01)1.46 (1.37–1.55)
    Primary diagnosis
      RARefRefRefRefRefRefRef
      Avascular bone necrosis1.03 (0.89–1.21)0.89 (0.84–0.95)0.84 (0.79–0.89)1.53 (0.65–3.60)0.82 (0.78–0.88)1.25 (0.77–2.02)0.89 (0.59–1.34)
      Osteoarthritis0.93 (0.80–1.08)0.66 (0.62–0.70)0.51 (0.48–0.54)0.85 (0.37–1.96)0.66 (0.62–0.69)0.84 (0.53–1.32)0.77 (0.53–1.13)
      Other0.98 (0.84–1.14)1.65 (1.55–1.75)2.30 (2.18–2.43)3.70 (1.59–8.59)1.03 (0.97–1.09)4.83 (3.04–7.66)7.22 (4.95–10.53)
      Fracture0.66 (0.09–5.03)11.50 (3.39–39.02)11.84 (2.55–54.85)Not estimable1.16 (0.47–2.82)Not estimableNot estimable
    Insurance payer
      PrivateRefRefRefRefRefRefRef
      Medicare0.99 (0.96–1.03)2.06 (2.02–2.09)1.34 (1.32–1.36)1.01 (0.86–1.19)1.18 (1.16–1.20)1.04 (0.91–1.18)1.14 (1.04–1.26)
      Medicaid1.38 (1.27–1.51)1.72 (1.67–1.77)1.70 (1.65–1.74)1.76 (1.43–2.17)1.17 (1.14–1.21)1.53 (1.28–1.82)0.89 (0.75–1.05)
      Other1.92 (1.72–2.14)1.10 (1.06–1.14)1.32 (1.28–1.37)1.38 (1.06–1.80)1.00 (0.97–1.04)1.04 (0.82–1.32)0.83 (0.69–1.01)
      Self1.24 (1.05–1.46)0.56 (0.52–0.61)1.50 (1.43–1.58)1.30 (0.84–2.03)1.11 (1.04–1.18)1.41 (1.01–1.95)0.90 (0.64–1.25)
    Income category, percentile
      0–25th2.48 (2.38–2.59)0.81 (0.80–0.82)0.86 (0.85–0.87)0.96 (0.84–1.10)0.82 (0.81–0.84)0.98 (0.87–1.11)0.98 (0.90–1.06)
      25th–50th2.19 (2.12–2.27)0.83 (0.82–0.84)0.94 (0.93–0.96)0.99 (0.88–1.11)0.79 (0.78–0.80)1.04 (0.94–1.16)0.99 (0.93–1.07)
      50th–75th1.55 (1.50–1.60)0.86 (0.85–0.87)0.91 (0.90–0.92)0.99 (0.88–1.12)0.79 (0.78–0.81)0.99 (0.89–1.10)0.96 (0.89–1.03)
      75th–100thRefRefRefRefRefRefRef
    • Data are OR (95% CI). Values in bold face indicate significant OR. An OR > 1 indicates that SSc patients had higher odds of that outcome, including in-hospital complication (e.g., mortality) and healthcare use (charges, stay, discharge disposition). A 95% CI that did not include unity (1.0) indicates that the association is statistically significant with a p value < 0.05.

    • ↵* Model included the following variables: age, sex, race, Deyo-Charlson comorbidity index, the underlying primary diagnosis for THA, household income, insurance payer, SSc diagnosis.

    • ↵** Median hospital charges were as follows: 1998, $19,717; 1999, $20,514; 2000, $22,333; 2001, $24,189; 2002, $26,729; 2003, $29,858; 2004, $32,607; 2005, $34,615; 2006, $36,164; 2007, $39,675; 2008, $43,064; 2009, $41,602; 2010, $45,186; 2011, $48,898; 2012, $48,927; 2013, $50,827; 2014, $51,482. SSc: systemic sclerosis; RA: rheumatoid arthritis; THA: total hip arthroplasty.

  • Total Hospital Charges above the MedianDischarge to Non-home SettingsLength of Hospital Stay > 3 DaysIn-hospital Implant InfectionIn-hospital TransfusionIn-hospital Revision SurgeryIn-hospital Mortality
    SSc0.88 (0.74–1.04)1.23 (1.01–1.48)1.62 (1.35–1.93)0.92 (0.22–3.92)1.54 (1.28–1.85)9.55 (6.74–13.53)2.20 (0.97–5.02)
    • Data are OR (95% CI).

    • ↵* Model included age, sex, race, Deyo-Charlson comorbidity index, primary diagnosis, insurance, income, SSc (main model) plus hospital location/teaching status, region, and bed size. Data are OR (95% CI). Values in bold face are statistically significant.

PreviousNext
Back to top

In this issue

The Journal of Rheumatology
Vol. 47, Issue 8
1 Aug 2020
  • Table of Contents
  • Table of Contents (PDF)
  • Index by Author
  • Editorial Board (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word about The Journal of Rheumatology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
How Systemic Sclerosis Affects Healthcare Use and Complication Rates after Total Hip Arthroplasty
(Your Name) has forwarded a page to you from The Journal of Rheumatology
(Your Name) thought you would like to see this page from the The Journal of Rheumatology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
How Systemic Sclerosis Affects Healthcare Use and Complication Rates after Total Hip Arthroplasty
Jasvinder A. Singh, John D. Cleveland
The Journal of Rheumatology Aug 2020, 47 (8) 1218-1223; DOI: 10.3899/jrheum.190783

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero

 Request Permissions

Share
How Systemic Sclerosis Affects Healthcare Use and Complication Rates after Total Hip Arthroplasty
Jasvinder A. Singh, John D. Cleveland
The Journal of Rheumatology Aug 2020, 47 (8) 1218-1223; DOI: 10.3899/jrheum.190783
del.icio.us logo Twitter logo Facebook logo  logo Mendeley logo
  • Tweet Widget
  •  logo
Bookmark this article

Jump to section

  • Article
    • Abstract
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • APPENDIX 1. Sensitivity analyses* adjusting the main multivariable-adjusted models for hospital location/teaching status, region, and bed size, assessing the association of systemic sclerosis (SSc) with healthcare use and in-hospital complications.
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Info & Metrics
  • References
  • PDF

Keywords

SYSTEMIC SCLEROSIS
SCLERODERMA
ARTHROPLASTY
HIP
OUTCOMES
EPIDEMIOLOGY

Related Articles

Cited By...

More in this TOC Section

  • Long-Term Epidemiology of Systemic Sclerosis in Western Australia: A Population-Level Linked Data Study
  • Outcomes in Systemic Sclerosis–Associated Interstitial Lung Disease Based on Serological Profiles With a Focus on Anticentromere and Anti-RNA Polymerase III Antibodies
  • Characteristics of Overlap Syndrome in a Large Cohort of Brazilian Patients With Systemic Sclerosis: A Retrospective Analysis
Show more Systemic Sclerosis

Similar Articles

Keywords

  • SYSTEMIC SCLEROSIS
  • SCLERODERMA
  • ARTHROPLASTY
  • HIP
  • OUTCOMES
  • EPIDEMIOLOGY

Content

  • First Release
  • Current
  • Archives
  • Collections
  • Audiovisual Rheum
  • COVID-19 and Rheumatology

Resources

  • Guide for Authors
  • Submit Manuscript
  • Author Payment
  • Reviewers
  • Advertisers
  • Classified Ads
  • Reprints and Translations
  • Permissions
  • Meetings
  • FAQ
  • Policies

Subscribers

  • Subscription Information
  • Purchase Subscription
  • Your Account
  • Terms and Conditions

More

  • About Us
  • Contact Us
  • My Alerts
  • My Folders
  • Privacy/GDPR Policy
  • RSS Feeds
The Journal of Rheumatology
The content of this site is intended for health care professionals.
Copyright © 2025 by The Journal of Rheumatology Publishing Co. Ltd.
Print ISSN: 0315-162X; Online ISSN: 1499-2752
Powered by HighWire