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Prediction of Hospitalizations in Systemic Lupus Erythematosus Using the Systemic Lupus International Collaborating Clinics Frailty Index

Legge, Alexandra ; Kirkland, Susan ; Rockwood, Kenneth ; Andreou, Pantelis ; Bae, Sang Cheol ; Gordon, Caroline ; Romero-Diaz, Juanita ; Sanchez-Guerrero, Jorge ; Wallace, Daniel J. and Bernatsky, Sasha , et al. (2022) In Arthritis Care and Research 74(4). p.638-647
Abstract

Objective: The Systemic Lupus International Collaborating Clinics (SLICC) frailty index (FI) predicts mortality and damage accrual in systemic lupus erythematosus (SLE), but its association with hospitalizations has not been described. Our objective was to estimate the association of baseline SLICC-FI values with future hospitalizations in the SLICC inception cohort. Methods: Baseline SLICC-FI scores were calculated. The number and duration of inpatient hospitalizations during follow-up were recorded. Negative binomial regression was used to estimate the association between baseline SLICC-FI values and the rate of hospitalizations per patient-year of follow-up. Linear regression was used to estimate the association of baseline SLICC-FI... (More)

Objective: The Systemic Lupus International Collaborating Clinics (SLICC) frailty index (FI) predicts mortality and damage accrual in systemic lupus erythematosus (SLE), but its association with hospitalizations has not been described. Our objective was to estimate the association of baseline SLICC-FI values with future hospitalizations in the SLICC inception cohort. Methods: Baseline SLICC-FI scores were calculated. The number and duration of inpatient hospitalizations during follow-up were recorded. Negative binomial regression was used to estimate the association between baseline SLICC-FI values and the rate of hospitalizations per patient-year of follow-up. Linear regression was used to estimate the association of baseline SLICC-FI scores with the proportion of follow-up time spent in the hospital. Multivariable models were adjusted for relevant baseline characteristics. Results: The 1,549 patients with SLE eligible for this analysis were mostly female (88.7%), with a mean ± SD age of 35.7 ± 13.3 years and a median disease duration of 1.2 years (interquartile range 0.9–1.5) at baseline. Mean ± SD baseline SLICC-FI was 0.17 ± 0.08. During mean ± SD follow-up of 7.2 ± 3.7 years, 614 patients (39.6%) experienced 1,570 hospitalizations. Higher baseline SLICC-FI values (per 0.05 increment) were associated with more frequent hospitalizations during follow-up, with an incidence rate ratio of 1.21 (95% confidence interval [95% CI] 1.13–1.30) after adjustment for baseline age, sex, glucocorticoid use, immunosuppressive use, ethnicity/location, SLE Disease Activity Index 2000 score, SLICC/American College of Rheumatology Damage Index score, and disease duration. Among patients with ≥1 hospitalization, higher baseline SLICC-FI values predicted a greater proportion of follow-up time spent hospitalized (relative rate 1.09 [95% CI 1.02–1.16]). Conclusion: The SLICC-FI predicts future hospitalizations among incident SLE patients, further supporting the SLICC-FI as a valid health measure in SLE.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Arthritis Care and Research
volume
74
issue
4
pages
10 pages
publisher
John Wiley & Sons Inc.
external identifiers
  • scopus:85111859534
  • pmid:33152181
ISSN
2151-464X
DOI
10.1002/acr.24504
language
English
LU publication?
yes
id
7b701deb-ebfa-4d05-8e22-f945bf3d5993
date added to LUP
2022-12-27 13:46:44
date last changed
2024-11-01 12:55:34
@article{7b701deb-ebfa-4d05-8e22-f945bf3d5993,
  abstract     = {{<p>Objective: The Systemic Lupus International Collaborating Clinics (SLICC) frailty index (FI) predicts mortality and damage accrual in systemic lupus erythematosus (SLE), but its association with hospitalizations has not been described. Our objective was to estimate the association of baseline SLICC-FI values with future hospitalizations in the SLICC inception cohort. Methods: Baseline SLICC-FI scores were calculated. The number and duration of inpatient hospitalizations during follow-up were recorded. Negative binomial regression was used to estimate the association between baseline SLICC-FI values and the rate of hospitalizations per patient-year of follow-up. Linear regression was used to estimate the association of baseline SLICC-FI scores with the proportion of follow-up time spent in the hospital. Multivariable models were adjusted for relevant baseline characteristics. Results: The 1,549 patients with SLE eligible for this analysis were mostly female (88.7%), with a mean ± SD age of 35.7 ± 13.3 years and a median disease duration of 1.2 years (interquartile range 0.9–1.5) at baseline. Mean ± SD baseline SLICC-FI was 0.17 ± 0.08. During mean ± SD follow-up of 7.2 ± 3.7 years, 614 patients (39.6%) experienced 1,570 hospitalizations. Higher baseline SLICC-FI values (per 0.05 increment) were associated with more frequent hospitalizations during follow-up, with an incidence rate ratio of 1.21 (95% confidence interval [95% CI] 1.13–1.30) after adjustment for baseline age, sex, glucocorticoid use, immunosuppressive use, ethnicity/location, SLE Disease Activity Index 2000 score, SLICC/American College of Rheumatology Damage Index score, and disease duration. Among patients with ≥1 hospitalization, higher baseline SLICC-FI values predicted a greater proportion of follow-up time spent hospitalized (relative rate 1.09 [95% CI 1.02–1.16]). Conclusion: The SLICC-FI predicts future hospitalizations among incident SLE patients, further supporting the SLICC-FI as a valid health measure in SLE.</p>}},
  author       = {{Legge, Alexandra and Kirkland, Susan and Rockwood, Kenneth and Andreou, Pantelis and Bae, Sang Cheol and Gordon, Caroline and Romero-Diaz, Juanita and Sanchez-Guerrero, Jorge and Wallace, Daniel J. and Bernatsky, Sasha and Clarke, Ann E. and Merrill, Joan T. and Ginzler, Ellen M. and Fortin, Paul R. and Gladman, Dafna D. and Urowitz, Murray B. and Bruce, Ian N. and Isenberg, David A. and Rahman, Anisur and Alarcón, Graciela S. and Petri, Michelle and Khamashta, Munther A. and Dooley, M. A. and Ramsey-Goldman, Rosalind and Manzi, Susan and Zoma, Asad A. and Aranow, Cynthia and Mackay, Meggan and Ruiz-Irastorza, Guillermo and Lim, S. Sam and Inanc, Murat and van Vollenhoven, Ronald F. and Jonsen, Andreas and Nived, Ola and Ramos-Casals, Manuel and Kamen, Diane L. and Kalunian, Kenneth C. and Jacobsen, Søren and Peschken, Christine A. and Askanase, Anca and Hanly, John G.}},
  issn         = {{2151-464X}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{638--647}},
  publisher    = {{John Wiley & Sons Inc.}},
  series       = {{Arthritis Care and Research}},
  title        = {{Prediction of Hospitalizations in Systemic Lupus Erythematosus Using the Systemic Lupus International Collaborating Clinics Frailty Index}},
  url          = {{http://dx.doi.org/10.1002/acr.24504}},
  doi          = {{10.1002/acr.24504}},
  volume       = {{74}},
  year         = {{2022}},
}