Literature DB >> 10852262

Development and testing of a systemic lupus-specific risk adjustment index for in-hospital mortality.

M M Ward1.   

Abstract

OBJECTIVE: Valid comparison of patient outcomes among hospitals requires adjustment for differences in the severity of patients' illness. Disease-specific indexes of severity of illness may permit more accurate risk adjustment than generic indexes. The objective of this study was to develop a systemic lupus-specific risk adjustment index for in-hospital mortality, and to compare its performance to that of the generic Charlson index.
METHODS: A systemic lupus-specific risk adjustment index was developed using discharge abstract data from a 50% random sample (n = 4994) of patients with systemic lupus erythematosus (SLE) hospitalized on an emergent or urgent basis in California from 1991 to 1994 (n = 9989). The index was tested on the remaining members of the sample. Candidate variables for the index were the diagnoses included in the original Charlson index, and nephritis, chronic renal failure, pericarditis, pleuritis, psychosis, seizures, hemolytic anemia, and thrombocytopenia. Multivariate logistic regression analysis was used to identify the set of variables that best differentiated those patients who died in the hospital from those who survived, and to provide the weights for construction of the index.
RESULTS: In the derivation set of patients, the SLE-specific index accurately predicted in-hospital mortality (area under the receiver operating characteristic curve c = 0.79). In the test set, the SLE-specific index (c = 0.72) was similar to the original Charlson index (c = 0.74) in its ability to predict in-hospital mortality (p = 0.32). However, the SLE-specific index accounted for substantially more variation in the risk of mortality among patients (R2 = 0.069) than did the Charlson index (R2 = 0.036). Use of the SLE-specific index rather than the Charlson index for risk adjustment did not alter the association between hospital experience and the probability of in-hospital mortality. Results were similar in the subgroups of patients with emergent hospitalizations and those with emergent hospitalizations due to SLE.
CONCLUSION: The SLE-specific risk adjustment index developed from diagnoses recorded in administrative discharge abstracts performed similarly to the generic Charlson index in correctly classifying mortality outcomes, but the SLE-specific index stratified patients by their level of risk of mortality better than the Charlson index. Adjustment for SLE-specific risks of mortality did not alter the association between hospital experience and the risk of in-hospital mortality.

Entities:  

Mesh:

Year:  2000        PMID: 10852262

Source DB:  PubMed          Journal:  J Rheumatol        ISSN: 0315-162X            Impact factor:   4.666


  22 in total

1.  Serious Infection Rates Among Children With Systemic Lupus Erythematosus Enrolled in Medicaid.

Authors:  Linda T Hiraki; Candace H Feldman; Francisco M Marty; Wolfgang C Winkelmayer; Hongshu Guan; Karen H Costenbader
Journal:  Arthritis Care Res (Hoboken)       Date:  2017-09-21       Impact factor: 4.794

2.  Comparative Rates of Serious Infections Among Patients With Systemic Lupus Erythematosus Receiving Immunosuppressive Medications.

Authors:  Candace H Feldman; Francisco M Marty; Wolfgang C Winkelmayer; Hongshu Guan; Jessica M Franklin; Daniel H Solomon; Karen H Costenbader; Seoyoung C Kim
Journal:  Arthritis Rheumatol       Date:  2017-02       Impact factor: 10.995

3.  Child-onset systemic lupus erythematosus is associated with a higher incidence of myopericardial manifestations compared to adult-onset disease.

Authors:  J C Chang; R Xiao; L Mercer-Rosa; A M Knight; P F Weiss
Journal:  Lupus       Date:  2018-10-14       Impact factor: 2.911

4.  Thirty-day hospital readmissions in systemic lupus erythematosus: predictors and hospital- and state-level variation.

Authors:  Jinoos Yazdany; Ben J Marafino; Mitzi L Dean; Naomi S Bardach; Reena Duseja; Michael M Ward; R Adams Dudley
Journal:  Arthritis Rheumatol       Date:  2014-10       Impact factor: 10.995

5.  Race/Ethnicity and Cardiovascular Events Among Patients With Systemic Lupus Erythematosus.

Authors:  Medha Barbhaiya; Candace H Feldman; Hongshu Guan; Jose A Gómez-Puerta; Michael A Fischer; Daniel H Solomon; Brendan Everett; Karen H Costenbader
Journal:  Arthritis Rheumatol       Date:  2017-08-13       Impact factor: 10.995

6.  Use of echocardiography at diagnosis and detection of acute cardiac disease in youth with systemic lupus erythematosus.

Authors:  J C Chang; A M Knight; R Xiao; L M Mercer-Rosa; P F Weiss
Journal:  Lupus       Date:  2018-04-24       Impact factor: 2.911

7.  Initial disease severity, cardiovascular events and all-cause mortality among patients with systemic lupus erythematosus.

Authors:  Daniel Li; Kazuki Yoshida; Candace H Feldman; Cameron Speyer; Medha Barbhaiya; Hongshu Guan; Daniel H Solomon; Brendan M Everett; Karen H Costenbader
Journal:  Rheumatology (Oxford)       Date:  2020-03-01       Impact factor: 7.580

8.  Area-Level Predictors of Medication Nonadherence Among US Medicaid Beneficiaries With Lupus: A Multilevel Study.

Authors:  Candace H Feldman; Karen H Costenbader; Daniel H Solomon; S V Subramanian; Ichiro Kawachi
Journal:  Arthritis Care Res (Hoboken)       Date:  2019-07       Impact factor: 4.794

9.  Azathioprine and Mycophenolate Mofetil Adherence Patterns and Predictors Among Medicaid Beneficiaries With Systemic Lupus Erythematosus.

Authors:  Candace H Feldman; Jamie Collins; Zhi Zhang; Chang Xu; S V Subramanian; Ichiro Kawachi; Daniel H Solomon; Karen H Costenbader
Journal:  Arthritis Care Res (Hoboken)       Date:  2019-11       Impact factor: 4.794

10.  Ethnic disparities among patients with systemic lupus erythematosus in South Carolina.

Authors:  Erica Anderson; Paul J Nietert; Diane L Kamen; Gary S Gilkeson
Journal:  J Rheumatol       Date:  2008-03-15       Impact factor: 4.666

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.