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García-Cañas IE, Cuevas-Orta E, Herrera-Van Oostdam DA, Abud-Mendoza C, Group L. Risk factors for hospitalization in Mexican patients with systemic lupus erythematosus. Lupus 2024:9612033241249791. [PMID: 38670796 DOI: 10.1177/09612033241249791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/28/2024]
Abstract
INTRODUCTION Systemic lupus erythematosus (SLE) is an autoimmune disease that often requires hospitalization. Most hospitalizations are due to infections and/or disease activity, for which several risk factors have been described in non-Mestizo patients. OBJECTIVE To identify risk factors for hospitalization in patients with systemic lupus erythematosus (SLE). METHODS This was an observational case-control study of patients with SLE in San Luis Potosí, Mexico, evaluated from January 2019 to October 2020. We compared hospitalized lupus patients with non-hospitalized lupus patients. We used descriptive statistics and logistic regression to describe potential risk factors. RESULTS Of a total of 202 patients, 89 (45.1%) were hospitalized; these patients were younger, had shorter disease duration, higher disease activity scores (systemic lupus erythematosus disease activity index-SLEDAI), and more accumulated damage than non-hospitalized patients. The primary reasons for hospitalization were disease activity (60.7%), kidney disease, infection, and drug toxicity (5.6%). Multivariate analysis revealed several risk factors associated with hospitalization, including elevated creatinine, C-reactive protein, neutrophil levels, and constitutional symptoms, while prolonged international normalized ratio (INR), longer stay in the intensive care unit (ICU), and vasopressor use were associated with mortality. The use of antimalarials was a protective factor against hospitalization. Survival analysis revealed that patients with hospital-acquired infections had a lower probability of survival. CONCLUSIONS Disease activity was the most common reason for hospitalization; kidney, constitutional, and hematological factors were associated with hospitalization; and the use of antimalarial was a protective factor for hospitalization.
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Affiliation(s)
| | - Enrique Cuevas-Orta
- Department of Rheumatology, Hospital Central "Dr. Ignacio Morones Prieto", San Luis Potosí, México
- Enrique Cuevas-Orta Faculty of Medicine, Universidad Autónoma de San Luis Potosí, San Luis Potosí, México
| | | | - Carlos Abud-Mendoza
- Department of Rheumatology, Hospital Central "Dr. Ignacio Morones Prieto", San Luis Potosí, México
- Enrique Cuevas-Orta Faculty of Medicine, Universidad Autónoma de San Luis Potosí, San Luis Potosí, México
| | - Lunpos Group
- Department of Rheumatology, Hospital Central "Dr. Ignacio Morones Prieto", San Luis Potosí, México
- Enrique Cuevas-Orta Faculty of Medicine, Universidad Autónoma de San Luis Potosí, San Luis Potosí, México
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Schletzbaum M, Sweet N, Astor B, Yu A, Powell WR, Gilmore-Bykovskyi A, Kaiksow F, Sheehy A, Kind AJ, Bartels CM. Associations of Postdischarge Follow-Up With Acute Care and Mortality in Lupus: A Medicare Cohort Study. Arthritis Care Res (Hoboken) 2023; 75:1886-1896. [PMID: 36752354 PMCID: PMC10406973 DOI: 10.1002/acr.25097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 12/06/2022] [Accepted: 01/31/2023] [Indexed: 02/09/2023]
Abstract
OBJECTIVE Patients with systemic lupus erythematosus experience the sixth highest rate of 30-day readmissions among chronic diseases. Timely postdischarge follow-up is a marker of ambulatory care quality that can reduce readmissions in other chronic conditions. Our objective was to test the hypotheses that 1) beneficiaries from populations experiencing health disparities, including patients from disadvantaged neighborhoods, will have lower odds of completed follow-up, and that 2) follow-up will predict longer time without acute care use (readmission, observation stay, or emergency department visit) or mortality. METHODS This observational cohort study included hospitalizations in January-November 2014 from a 20% random sample of Medicare adults. Included hospitalizations had a lupus code, discharge to home without hospice, and continuous Medicare A/B coverage for 1 year before and 1 month after hospitalization. Timely follow-up included visits with primary care or rheumatology within 30 days. Thirty-day survival outcomes were acute care use and mortality adjusted for sociodemographic information and comorbidities. RESULTS Over one-third (35%) of lupus hospitalizations lacked 30-day follow-up. Younger age, living in disadvantaged neighborhoods, and rurality were associated with lower odds of follow-up. Follow-up was not associated with subsequent acute care or mortality in beneficiaries age <65 years. In contrast, follow-up was associated with a 27% higher hazard for acute care use (adjusted hazard ratio [HR] 1.27 [95% confidence interval (95% CI) 1.09-1.47]) and 65% lower mortality (adjusted HR 0.35 [95% CI 0.19-0.67]) among beneficiaries age ≥65 years. CONCLUSION One-third of lupus hospitalizations lacked follow-up, with significant disparities in rural and disadvantaged neighborhoods. Follow-up was associated with increased acute care, but 65% lower mortality in older systemic lupus erythematosus patients. Further development of lupus-specific postdischarge strategies is needed.
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Affiliation(s)
- Maria Schletzbaum
- Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, US
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, US
| | - Nadia Sweet
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, US
| | - Brad Astor
- Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, US
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, US
| | - Ang Yu
- Department of Sociology, University of Wisconsin – Madison, Madison, WI, US
- Center for Demography and Ecology, University of Wisconsin – Madison, Madison, WI, US
| | - W. Ryan Powell
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, Madison, WI, US
| | - Andrea Gilmore-Bykovskyi
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, Madison, WI, US
- School of Nursing, University of Wisconsin – Madison, Madison, WI, US
| | - Farah Kaiksow
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, US
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, Madison, WI, US
| | - Ann Sheehy
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, US
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, Madison, WI, US
| | - Amy J Kind
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, US
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, Madison, WI, US
| | - Christie M Bartels
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, US
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, Madison, WI, US
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Najjar R, Alexander SA, Hughes GC, Yazdany J, Singh N. Predictors of Thirty-Day Hospital Readmissions in Systemic Lupus Erythematosus in the United States: A Nationwide Study. Arthritis Care Res (Hoboken) 2023; 75:989-997. [PMID: 35439363 PMCID: PMC9579214 DOI: 10.1002/acr.24900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 03/19/2022] [Accepted: 04/14/2022] [Indexed: 11/09/2022]
Abstract
OBJECTIVE To evaluate independent risk factors for readmission and to determine the major reasons for readmission in a nationally representative sample of patients with systemic lupus erythematosus (SLE). METHODS We used the Nationwide Readmissions Database to identify adults with SLE who were discharged from hospital to home during January-November of 2016 and 2017. Thirty-day all-cause readmissions were identified. A multivariable adjusted survey-specific logistic regression model was used to identify factors associated with readmission. RESULTS A total of 132,400 hospitalized adults with SLE were discharged home during the study period; 88.3% were female, with a median age of 51.0 years (interquartile range 38.7-61.9 years). Of these, 18,973 individuals (14.3%) were readmitted within 30 days of discharge from their index hospitalization. In multivariable analyses, the factors associated with the highest odds for readmission were autoimmune hemolytic anemia (odds ratio [OR] 1.86 [95% confidence interval (95% CI) 1.51-2.29]), glomerular disease (OR 1.27 [95% CI 1.19-1.36]), pericarditis (OR 1.35 [95% CI 1.14-1.60]), heart failure (OR 1.34 [95% CI 1.24-1.44]), age 18-30 years (OR 1.28 [95% CI 1.17-1.41] versus age ≥65 years), and Medicare (OR 1.20 [95% CI 1.13-1.28]) and Medicaid insurance (OR 1.26 [95% CI 1.18-1.34]). Sepsis (7.6%), SLE (7.4%), heart failure (3.5%), and pneumonia (3.2%) were among the most common causes for readmission. CONCLUSION In this nationally representative study of SLE readmissions, the strongest risk factors for 30-day readmission were younger age, SLE-related manifestations, and public insurance. These results identify patient groups with SLE that would benefit from postdischarge interventions designed to reduce hospitalizations and improve health outcomes.
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Affiliation(s)
- Rayan Najjar
- University of Washington, Division of Rheumatology
| | | | | | - Jinoos Yazdany
- University of California San Francisco, Division of Rheumatology
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Perrotta N, López Meiller MJ, Malah V, Dubinsky D. Reasons for hospitalisation in patients with systemic lupus erythematosus in a university hospital in Buenos Aires. ACTA ACUST UNITED AC 2021; 17:471-474. [PMID: 34625150 DOI: 10.1016/j.reumae.2020.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2019] [Accepted: 04/22/2020] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To determine the reasons for hospitalisation in patients with systemic lupus erythematosus (SLE) admitted to the Hospital de Clínicas "José de San Martín" Buenos Aires, Argentina. METHODS We retrospectively analysed the clinical histories of SLE patients (SLICC 2012) during or prior to hospitalisation, from 1-2014 to 12-2017. Demographic data, reasons for hospitalisation, treatments, SLEDAI-2 K and comorbid conditions. RESULTS 121 hospitalisations corresponding to 72 patients, 25 patients (34.7%) were hospitalised more than once. Females (83.3%), the median length of disease until admission was 5 years. There was more than one reason for hospitalisation in 32, a total of 164 reasons. The main reason was relapse of disease (52.4%). The most frequent manifestations were renal involvement, serositis and pulmonary involvement. Infections were the second reason for hospitalisation (26.8%); urinary tract, pneumonia and soft tissue. Cardiovascular involvement 4.9%. Hospitalisation in a closed unit 14.05%, mortality 2.48%. CONCLUSION Relapse of disease and infections were the main reasons for hospitalisation; admission secondary to infection was higher than that reported in other series.
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Affiliation(s)
- Natalia Perrotta
- Hospital de Clínicas José de San Martín, Buenos Aires, Argentina
| | | | - Verónica Malah
- Hospital de Clínicas José de San Martín, Buenos Aires, Argentina
| | - Diana Dubinsky
- Hospital de Clínicas José de San Martín, Buenos Aires, Argentina
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Morales-Tisnés T, Quintero-Ortiz L, Quintero-Muñoz E, Sierra-Matamoros F, Arias-Aponte J, Rojas-Villarraga A. Prevalence of hospital readmissions and related factors in patients with autoimmune diseases. J Transl Autoimmun 2021; 4:100121. [PMID: 34585131 PMCID: PMC8450261 DOI: 10.1016/j.jtauto.2021.100121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 09/06/2021] [Indexed: 11/19/2022] Open
Abstract
Objective Autoimmune diseases generate an impact on the morbidity and mortality of patients and are a burden for the health system through hospital admissions and readmissions. The prevalence of readmission of patients with these diseases has not yet been described as a group, but rather as sub-phenotype. The objective of this study is to determine the prevalence of hospital readmissions in a Colombian population with autoimmunity and the factors related to readmission. Methods All patients with autoimmune diseases who were evaluated by the rheumatology service and hospitalized between August 2018 and December 2019 at the Fundación Hospital Infantil Universitario De San José de Bogotá were described. A bivariate analysis was done, and three multivariate logistic regression models were built with the dependent variable being readmission. Results Of the total 199 admissions, 131 patients were evaluated and 32% were readmitted. The most frequent sub-phenotype in both groups (readmission and no readmission) was SLE (51% and 59%). The most frequent cause of hospitalization and readmission was disease activity (68.7% and 64.3%). History of hypertension was associated with readmission (adjusted OR: 2.98-95% CI: 1.15-7.72). In a second model adjusted for confounding variables, no factor was associated. In a third model analyzing the history of kidney disease and previous use of immunosuppressants (adjusted for confounding variables), the previous use of immunosuppressants was related to readmission (OR: 2.78-95% CI 1.12-6.89). Conclusion Up to a third of patients with autoimmunity were readmitted and arterial hypertension was an associated factor. This suggested a greater systemic compromise and accumulated damage in patients who have these two conditions that may favor readmission. A history of immunosuppressant use may play a role in readmission, possibly by increasing the risk of developing infections.
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Key Words
- AHT, Arterial Hypertension.
- AIDs, Autoimmune Diseases.
- APS, Antiphospholipid Syndrome.
- Autoimmune disease
- Autoimmune tautology
- DMARDs, Disease-modifying antirheumatic drugs.
- Hospital readmission
- ICD – 10, International Classification of Diseases 10th edition.
- ICU, Intensive Care Unit.
- Polyautoimmunity
- RA, Rheumatoid Arthritis.
- SLE, Systemic Lupus Erythematosus.
- SS, Systemic Sclerosis
- SjS, Sjögren Syndrome.
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Affiliation(s)
- Tatiana Morales-Tisnés
- School of Medicine, Fundación Universitaria de Ciencias de la Salud-FUCS, Bogotá, 111221, Colombia
- Corresponding author. School of Medicine, Fundación Universitaria de Ciencias de la Salud, Carrera 59 a 134 - 15, Postal Code: 111111, Bogotá, Colombia. Tel: +51 3118834750.
| | - Lina Quintero-Ortiz
- School of Medicine, Fundación Universitaria de Ciencias de la Salud-FUCS, Bogotá, 111221, Colombia
| | - Elías Quintero-Muñoz
- School of Medicine, Fundación Universitaria de Ciencias de la Salud-FUCS, Bogotá, 111221, Colombia
| | - Fabio Sierra-Matamoros
- School of Medicine, Fundación Universitaria de Ciencias de la Salud-FUCS, Bogotá, 111221, Colombia
- Epidemiology Department, Fundación Universitaria de Ciencias de la Salud-FUCS, Bogotá, 111221, Colombia
| | - Julián Arias-Aponte
- School of Medicine, Fundación Universitaria de Ciencias de la Salud-FUCS, Bogotá, 111221, Colombia
| | - Adriana Rojas-Villarraga
- School of Medicine, Fundación Universitaria de Ciencias de la Salud-FUCS, Bogotá, 111221, Colombia
- Research Division, Fundación Universitaria de Ciencias de la Salud-FUCS, Bogotá, 111221, Colombia
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Bartels CM, Chodara A, Chen Y, Wang X, Powell WR, Shi F, Schletzbaum M, Sheehy AM, Kaiksow FA, Gilmore-Bykovskyi AL, Garg S, Yu M, Kind AJ. One Quarter of Medicare Hospitalizations in Patients with Systemic Lupus Erythematosus Readmitted within Thirty Days. Semin Arthritis Rheum 2021; 51:477-485. [PMID: 33813261 DOI: 10.1016/j.semarthrit.2021.02.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 01/09/2021] [Accepted: 02/15/2021] [Indexed: 01/23/2023]
Abstract
OBJECTIVE Thirty-day hospital readmissions in systemic lupus erythematosus (SLE) approach proportions in Medicare-reported conditions including heart failure (HF). We compared adjusted 30-day readmission and mortality among SLE, HF, and general Medicare to assess predictors informing readmission prevention. METHODS This database study used a 20% sample of all US Medicare 2014 adult hospitalizations to compare risk of 30-day readmission and mortality among admissions with SLE, HF, and neither per discharge diagnoses (if both SLE and HF, classified as SLE). Inclusion required live discharge and ≥12 months of Medicare A/B before admission to assess baseline covariates including patient, geographic, and hospital factors. Analysis used observed and predicted probabilities, and multivariable GEE models clustered by patient to report adjusted risk ratios (ARRs) of 30-day readmission and mortality. RESULTS SLE admissions (n=10,868) were younger, predominantly female, more likely to be Black, disabled, and have Medicaid or end-stage renal disease (ESRD). Observed 30-day readmissions of 24% were identical for SLE and HF (p = 0.6), and higher than other Medicare (16%, p < 0.001). Both SLE and HF had elevated readmission risk (ARR 1.08, (95% CI (1.04, 1.13)); 1.11, (1.09, 1.13)). SLE readmissions were higher for Black (30%) versus White (21%) populations, and highest in ages 18-33 (39%) and ESRD (37%). Admissions of Black patients with SLE from least disadvantaged neighborhoods had highest 30-day mortality (9% versus 3% White). CONCLUSION Thirty-day SLE readmissions rivaled HF at 24%. Readmission prevention programs should engage young, ESRD patients with SLE and examine potential causal gaps in SLE care and transitions.
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Affiliation(s)
- Christie M Bartels
- University of Wisconsin School of Medicine and Public Health, Department of Medicine, Rheumatology Division, Madison, WI, USA; University of Wisconsin School of Medicine and Public Health, Department of Medicine, Health Services & Care Research Program, Madison, WI, USA.
| | - Ann Chodara
- University of Wisconsin School of Medicine and Public Health, Department of Medicine, Rheumatology Division, Madison, WI, USA; University of Wisconsin Hospital and Clinics, Madison, WI, USA
| | - Yi Chen
- University of Wisconsin School of Medicine and Public Health, Department of Biostatistics and Medical Informatics, Madison, WI, USA
| | - Xing Wang
- University of Wisconsin School of Medicine and Public Health, Department of Biostatistics and Medical Informatics, Madison, WI, USA
| | - W Ryan Powell
- University of Wisconsin School of Medicine and Public Health, Department of Medicine, Geriatrics Division, Madison, WI, USA; University of Wisconsin School of Medicine and Public Health, Department of Medicine, Health Services & Care Research Program, Madison, WI, USA
| | - Fangfang Shi
- University of Wisconsin School of Medicine and Public Health, Department of Medicine, Geriatrics Division, Madison, WI, USA; University of Wisconsin School of Medicine and Public Health, Department of Medicine, Health Services & Care Research Program, Madison, WI, USA
| | - Maria Schletzbaum
- University of Wisconsin School of Medicine and Public Health, Department of Population Health Sciences, Madison, WI, USA
| | - Ann M Sheehy
- University of Wisconsin School of Medicine and Public Health, Department of Medicine, Health Services & Care Research Program, Madison, WI, USA; University of Wisconsin School of Medicine and Public Health, Department of Medicine, Hospital Medicine Division, Madison, WI, USA
| | - Farah A Kaiksow
- University of Wisconsin School of Medicine and Public Health, Department of Medicine, Health Services & Care Research Program, Madison, WI, USA; University of Wisconsin School of Medicine and Public Health, Department of Medicine, Hospital Medicine Division, Madison, WI, USA
| | - Andrea L Gilmore-Bykovskyi
- University of Wisconsin School of Medicine and Public Health, Department of Medicine, Geriatrics Division, Madison, WI, USA; University of Wisconsin School of Medicine and Public Health, Department of Medicine, Health Services & Care Research Program, Madison, WI, USA; University of Wisconsin-Madison, School of Nursing, Madison, WI, USA
| | - Shivani Garg
- University of Wisconsin School of Medicine and Public Health, Department of Medicine, Rheumatology Division, Madison, WI, USA
| | - Menggang Yu
- University of Wisconsin School of Medicine and Public Health, Department of Biostatistics and Medical Informatics, Madison, WI, USA
| | - Amy J Kind
- University of Wisconsin School of Medicine and Public Health, Department of Medicine, Geriatrics Division, Madison, WI, USA; University of Wisconsin School of Medicine and Public Health, Department of Medicine, Health Services & Care Research Program, Madison, WI, USA; VA Geriatrics Research Education and Clinical Center, William S Middleton VA Hospital, Madison, WI, USA
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Wu Q, Xu Z, Dan YL, Wang P, Mao YM, Zhao CN, Zou YF, Ye DQ, Hu W, Pan HF. Low ambient temperature increases hospital re-admissions for systemic lupus erythematosus in humid subtropical region: a time series study. Environ Sci Pollut Res Int 2021; 28:530-537. [PMID: 32815013 DOI: 10.1007/s11356-020-10488-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 08/10/2020] [Indexed: 06/11/2023]
Abstract
Currently, the correlation between ambient temperature and systemic lupus erythematosus (SLE) hospital admissions remains not determined. The aim of this study was to explore the correlation between ambient temperature and SLE hospital admissions in Hefei City, China. An ecological study design was adopted. Daily data on SLE hospital admissions in Hefei City, from January 1, 2007, to December 31, 2017, were obtained from the two largest tertiary hospitals in Hefei, and the daily meteorological data at the same period were retrieved from China Meteorological Data Network. The generalized additive model (GAM) combined with distributed lag nonlinear model (DLNM) with Poisson link was applied to evaluate the influence of ambient temperature on SLE hospital admissions after controlling for potential confounding factors, including seasonality, relative humidity, day of week, and long-term trend. There were 1658 SLE hospital admissions from 2007 to 2017, including 370 first admissions and 1192 re-admissions (there were 96 admissions with admission status not stated). No correlation was observed between ambient temperature and SLE first admissions, but a correlation was found between low ambient temperature and SLE re-admissions (RR: 2.53, 95% CI: 1.11, 5.77) (3.5 °C vs 21 °C). The effect of ambient temperature on SLE re-admissions remained for 2 weeks but disappeared in 3 weeks. Exposure to low ambient temperature may increase hospital re-admissions for SLE, and thus it is important for SLE patients to maintain a warm living environment and avoid exposure to lower ambient temperature.
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Affiliation(s)
- Qian Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Zhiwei Xu
- School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Australia
| | - Yi-Lin Dan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Peng Wang
- Center for Genetic Epidemiology and Genomics, School of Public Health, Soochow University Medical College, 199 Renai Road, Suzhou, Jiangsu, China
| | - Yan-Mei Mao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Chan-Na Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Yan-Feng Zou
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Wenbiao Hu
- School of Public Health and Social Work & Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China.
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8
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Legge A, Kirkland S, Rockwood K, Andreou P, Bae SC, Gordon C, Romero-Diaz J, Sanchez-Guerrero J, Wallace DJ, Bernatsky S, Clarke AE, Merrill JT, Ginzler EM, Fortin PR, Gladman DD, Urowitz MB, Bruce IN, Isenberg DA, Rahman A, Alarcón GS, Petri M, Khamashta MA, Dooley MA, Ramsey-Goldman R, Manzi S, Zoma AA, Aranow C, Mackay M, Ruiz-Irastorza G, Lim SS, Inanc M, van Vollenhoven RF, Jonsen A, Nived O, Ramos-Casals M, Kamen DL, Kalunian KC, Jacobsen S, Peschken CA, Askanase A, Hanly JG. Prediction of hospitalizations in systemic lupus erythematosus using the Systemic Lupus International Collaborating Clinics Frailty Index (SLICC-FI). Arthritis Care Res (Hoboken) 2020; 74:638-647. [PMID: 33152181 DOI: 10.1002/acr.24504] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 10/22/2020] [Accepted: 11/03/2020] [Indexed: 12/16/2022]
Abstract
OBJECTIVE The Systemic Lupus International Collaborating Clinics (SLICC) frailty index (FI) predicts mortality and damage accrual in SLE, but its association with hospitalizations has not been described. We estimated 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 hospital. Multivariable models were adjusted for relevant baseline characteristics. RESULTS The 1549 SLE patients eligible for this analysis were mostly female (88.7%) with mean (SD) age 35.7 (13.3) years and median (IQR) disease duration 1.2 (0.9-1.5) years 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 1570 hospitalizations. Higher baseline SLICC-FI values (per 0.05 increment) were associated with more frequent hospitalizations during follow-up (Incidence Rate Ratio 1.21; 95%CI 1.13-1.30), adjusting for baseline age, sex, corticosteroid use, immunosuppressive use, ethnicity/location, SLE disease activity index 2000 (SLEDAI-2K), SLICC/ACR damage index (SDI), 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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Affiliation(s)
- Alexandra Legge
- Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Susan Kirkland
- Department of Community Health & Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Kenneth Rockwood
- Division of Geriatric Medicine, Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Pantelis Andreou
- Department of Community Health & Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Sang-Cheol Bae
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Korea
| | - Caroline Gordon
- Rheumatology Research Group, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | | | | | - Daniel J Wallace
- Cedars-Sinai/David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Sasha Bernatsky
- Divisions of Rheumatology and Clinical Epidemiology, Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - Ann E Clarke
- Division of Rheumatology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Joan T Merrill
- Department of Clinical Pharmacology, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Ellen M Ginzler
- Department of Medicine, SUNY Downstate Medical Center, Brooklyn, NY, USA
| | - Paul R Fortin
- Division of Rheumatology, CHU de Québec - Université Laval, Quebec City, Canada
| | - Dafna D Gladman
- Center for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital and University of Toronto, ON, Canada, Oakland
| | - Murray B Urowitz
- Center for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital and University of Toronto, ON, Canada, Oakland
| | - Ian N Bruce
- Arthritis Research UK Epidemiology Unit, Faculty of Biology Medicine and Health, Manchester Academic Health Sciences Center, The University of Manchester, and NIHR Manchester Musculoskeletal Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Center Manchester, UK
| | - David A Isenberg
- Center for Rheumatology, Department of Medicine, University College London, UK, London
| | - Anisur Rahman
- Center for Rheumatology, Department of Medicine, University College London, UK, London
| | - Graciela S Alarcón
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Michelle Petri
- Division of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Munther A Khamashta
- Lupus Research Unit, The Rayne Institute, St Thomas' Hospital, King's College London School of Medicine, London, UK
| | - M A Dooley
- Thurston Arthritis Research Center, University of North Carolina, Chapel Hill, NC, USA, Chapel Hill
| | | | - Susan Manzi
- Lupus Center of Excellence, Allegheny Health Network, Pittsburgh, PA, USA
| | - Asad A Zoma
- Lanarkshire Center for Rheumatology, Hairmyres Hospital, East Kilbride, Scotland, UK
| | - Cynthia Aranow
- Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Meggan Mackay
- Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Guillermo Ruiz-Irastorza
- Autoimmune Diseases Research Unit, Department of Internal Medicine, BioCruces Bizkaia Health Research Institute, Hospital Universitario Cruces, University of the Basque Country, Barakaldo, Spain
| | - S Sam Lim
- Emory University School of Medicine, Division of Rheumatology, Atlanta, Georgia, USA
| | - Murat Inanc
- Division of Rheumatology, Department of Internal Medicine, Istanbul Medical Faculty, Istanbul University, Istanbul, Turkey
| | | | - Andreas Jonsen
- Department of Clinical Sciences Lund, Rheumatology, Lund University, Lund, Sweden
| | - Ola Nived
- Department of Clinical Sciences Lund, Rheumatology, Lund University, Lund, Sweden
| | - Manuel Ramos-Casals
- Josep Font Autoimmune Diseases Laboratory, IDIBAPS, Department of Autoimmune Diseases, Hospital Clínic, Barcelona, Spain
| | - Diane L Kamen
- Medical University of South Carolina, Charleston, South Carolina, USA
| | | | - Soren Jacobsen
- Copenhagen Lupus and Vasculitis Clinic, 4242, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | | | - Anca Askanase
- Hospital for Joint Diseases, NYU, Seligman Center for Advanced Therapeutics, New York, NY, USA
| | - John G Hanly
- Division of Rheumatology, Department of Medicine and Department of Pathology, Queen Elizabeth II Health Sciences Center and Dalhousie University, Halifax, Nova Scotia, Canada
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Bowers E, Griffith M, Kolfenbach J, Pearson D, Hammes A, Weinstein E. A Quality Improvement Intervention to Reduce 30-Day Hospital Readmission Rates among Patients with Systemic Lupus Erythematosus. Arthritis Care Res (Hoboken) 2020; 74:126-130. [PMID: 32860731 DOI: 10.1002/acr.24435] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 07/26/2020] [Accepted: 08/18/2020] [Indexed: 11/09/2022]
Abstract
OBJECTIVE Systemic lupus erythematosus (SLE) has one of the highest 30-day hospital readmission rates among chronic diseases in the United States. This quality improvement initiative developed and assessed the feasibility of a multidisciplinary post-discharge intervention to reduce 30-day readmission rates among SLE patients. METHODS A retrospective study was performed using electronic health records of patients with SLE admitted to a university hospital prior to (non-intervention group) and after initiation of the study intervention (intervention group). The study population included patients with a diagnosis of SLE who were admitted to the hospital for any reason during an eight month time period. The intervention involved sending a templated message at the time of discharge to the rheumatology clinic nurses which prompted the nurses to call the patient to coordinate future visits and provide education. The primary outcome was the 30-day hospital readmission rate. Data was analyzed using a multivariate mixed binomial regression model. RESULTS There were 59 hospitalizations in the non-intervention group and 73 hospitalizations in the intervention group during the eight-month study period. The 30-day readmission rate was 29% in the non-intervention group and 19% in the intervention group. The difference in readmission rates between the two groups was not statistically significant based on the multivariate model. CONCLUSION Our study demonstrates the feasibility of implementing a multi-disciplinary post-discharge intervention to reduce readmission rates for patients with SLE in a large academic medical center. Further investigation is warranted to determine if this approach reduces the unacceptably high hospital readmission rates among SLE patients.
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Affiliation(s)
- Emily Bowers
- Department of Rheumatology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Melissa Griffith
- Department of Rheumatology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Jasonason Kolfenbach
- Department of Rheumatology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Duane Pearson
- Department of Rheumatology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Andrew Hammes
- Department of Biostats and Informatics, University of Colorado School of Public Health, Aurora, CO, USA
| | - Elena Weinstein
- Department of Rheumatology, University of Colorado School of Medicine, Aurora, CO, USA
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Perrotta N, López Meiller MJ, Malah V, Dubinsky D. Reasons for Hospitalisation in Patients with Systemic Lupus Erythematosus in a University Hospital in Buenos Aires. Reumatol Clin (Engl Ed) 2020; 17:S1699-258X(20)30109-1. [PMID: 32709509 DOI: 10.1016/j.reuma.2020.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2019] [Revised: 04/01/2020] [Accepted: 04/22/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVE To determine the reasons for hospitalisation in patients with systemic lupus erythematosus (SLE) admitted to the Hospital de Clínicas «José de San Martín» Buenos Aires, Argentina. METHODS We retrospectively analysed the clinical histories of SLE patients (SLICC 2012) during or prior to hospitalisation, from 1-2014 to 12-2017. Demographic data, reasons for hospitalisation, treatments, SLEDAI-2K and comorbid conditions. RESULTS 121 hospitalisations corresponding to 72 patients, 25 patients (34.7%) were hospitalised more than once. Females (83.3%), the median length of disease until admission was 5 years. There was more than one reason for hospitalisation in 32, a total of 164 reasons. The main reason was relapse of disease (52.4%). The most frequent manifestations were renal involvement, serositis and pulmonary involvement. Infections were the second reason for hospitalisation (26.8%); urinary tract, pneumonia and soft tissue. Cardiovascular involvement 4.9%. Hospitalisation in a closed unit 14.05%, mortality 2.48%. CONCLUSION Relapse of disease and infections were the main reasons for hospitalisation; admission secondary to infection was higher than that reported in other series.
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Affiliation(s)
- Natalia Perrotta
- Hospital de Clínicas José de San Martín, Buenos Aires, Argentina
| | | | - Verónica Malah
- Hospital de Clínicas José de San Martín, Buenos Aires, Argentina
| | - Diana Dubinsky
- Hospital de Clínicas José de San Martín, Buenos Aires, Argentina
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