Analysis of 5-year hospitalization data of patients with systemic lupus erythematosus: Damage is a risk factor for frequent and longer stays

OBJECTIVE

The annual hospitalization rate of patients with systemic lupus erythematosus (SLE) is approximately 10%, and hospitalizations are responsible for most of the healthcare expenses. Herein, we analyzed 5-year hospitalization data of SLE patients and determined factors leading to hospitalization.

METHODS

Clinical, laboratory, and hospitalization data of SLE patients admitted to our rheumatology clinic in 2015-2020 were retrieved from our SLE database and analyzed. SLICC SLE damage index (SDI) and disease activity at admission (SLEDAI-2K) were determined.

RESULTS

Among 161 hospitalized patients, 86% were females. Total rheumatologic hospitalization number was 298, and 38% of the patients were hospitalized more than once (1.85 ± 1.56). The mean hospitalization duration covering all stays for each patient was 25 ± 26.5 days. Active disease, infection, and damage-related complications were first three causes of hospitalization. Compared to patients hospitalized for active disease or damage, patients hospitalized for infection had a significantly higher number of readmissions (p < .05) and their total hospital stay was longer (p < .01).The frequency of patients with damage and the mean SDI score was significantly lower in the active disease group (68%, 1.93 ± 2.05) than hospitalizations for infection (90%, 2.68 ± 1.63) and damage-related causes (96%, 3.04 ± 1.65) (p < .05). The mean SDI score and duration (r = 0.551, p < .001) and the number of hospitalizations (r = 0.393, p < .001) were positively correlated. The mean disease activity scores of patients hospitalized for active disease, infection, and damage-related reasons were 11.03 ± 6.08, 3.21 ± 2.80, and 2.96 ± 3.32, respectively (p < .001). Renal active disease was the most common (44%), followed by hematological (34.8%), articular (21.7%), and mucocutaneous (21%) activity.Ten percent of the patients all of whom had damage were admitted to intensive care unit (ICU). Total hospitalization duration, mean SDI, antiphospholipid syndrome, lupus anticoagulant, thrombocytopenia, serositis, pulmonary hypertension, history of alveolar hemorrhage, and cardiac valve involvement were associated with ICU admission (p < .05 for all).

CONCLUSION

Disease activity, infections, and damage are the leading causes of hospitalization in SLE patients. Damage prolongs hospital stay and increases hospitalization rate and ICU need. Tight control of disease activity with rational use of immunosuppressive treatment is important to reduce damage and hospitalizations.

Characteristics of patients with initial diagnosis of systemic lupus erythematosus in emergency department and their outcomes: a retrospective single-center study

STUDY OBJECTIVE

This study aims to investigate the characteristics of patients with an initial diagnosis of systemic lupus erythematosus (SLE) in an emergency department (ED) and their outcomes.

METHODS

A total of 147 SLE patients (119 females and 28 males, mean age 26 ± 19 years) who visited the ED of the Peking University People's Hospital between January 2017 and June 2022 were enrolled in the study. Data on demographic information, clinical characteristics, comorbidities, therapy, and outcomes were collected.

RESULTS

Most patients visit ED because of symptoms related to SLE (74.8%, 110/147). The remaining 37 patients (25.2%) visited ED due to infection (43.2%, 16/37), gastrointestinal bleeding (10.8%, 4/37), coronary heart or cerebrovascular disease (18.9%, 7/37), macrophage activation syndrome or thrombotic microangiopathy (18.9%, 7/37), leukemia (5.4%, 2/37), and hepatic encephalopathy (2.7%, 1/37). Of the patients, 54.4% (80/147) were first diagnosed with SLE at the time of their ED visit. Thrombocytopenia events occurred significantly more frequently in this group of patients (OR 3.664, 95% CI 1.586-8.464, p = 0.002). Pulse steroid therapy was administered to 32.5% (26/80) of the patients with an initial diagnosis of SLE, and 26.3% (21/80) of these patients also received IVIG therapy during their ED visit. SLEDAI scores were significantly decreased after 6 months of therapy. The rate of mortality was 6.8% (10/147) in the 6-month follow-up period, and all the ten deaths happened in patients with disease-established SLE. The main causes of death were infections (two patients) and SLE flare (four patients).

CONCLUSION

Understanding disease patterns can contribute to physicians providing accurate diagnosis and efficient care for SLE patients in ED. Key Points • Systemic lupus erythematosus, a complex autoimmune disorder, can have either a chronic or a relapsing and remitting disease course. The disease can involve acute events or severe comorbidities, and frequent visits to the emergency department (ED) are inevitable. • It is essential to better understand which comorbidities can lead to emergency department visits. Accurate clinical diagnosis and appropriate interventions from ED physicians can have a strong impact on the prognosis of the disease. • Hematologic compromise attributed to SLE flare is the most common reason for ED visits. Owing to aggressive treatments, the clinical outcomes in patients with initial diagnosis of SLE have improved notably. • Our study highlights that early recognition and appropriate management of SLE-related conditions and other comorbidity in ED are crucial.

Systemic lupus erythematosus and damage: What has changed over the past 20 years?

The young age of onset and chronic/relapsing nature of systemic lupus erythematosus (SLE) make SLE patients prone to develop and accrue organ damage as a result of long-standing disease activity and side effects of treatment. There is a growing interest in objectifying damage and identifying its risk factors. Still, the lack of therapeutic alternatives has led to difficulties in avoiding immunosuppressives particularly corticosteroids, which have been implicated in a large spectrum of organ damage in SLE patients. Moreover, it continues to be very challenging to determine what actually causes damage in different organ-systems. Cardiovascular disease continues to be one of the leading types of damage in patients with SLE, reported as early as 1976. Since then, many researchers have focused on identifying SLE or treatment-related and traditional risk factors. The same considerations are valid for other conditions, such as the occurrence of metabolic syndrome, osteoporosis, avascular necrosis, susceptibility to infections, etc. On the other hand, diverse risk factors contribute to the development of chronic kidney disease (CKD) in SLE. Most evidence suggests that high initial levels of serum creatinine, hypocomplementemia, nephrotic range proteinuria, concomitant uncontrolled hypertension, Black and Hispanic ancestry, non-adherence to treatment, and biopsy findings such as diffuse proliferative lupus nephritis (LN), a high chronicity index, tubular atrophy, and tubulointerstitial inflammation are risk factors for progression to end stage renal disease (ESRD) in LN. While cardiovascular disease, CKD and infections are leading causes of mortality in patients with SLE, hospitalizations are caused mostly by SLE disease flares and infections. Cognitive impairment and mood disorders are common in SLE but continue to impose a challenge on how to measure, manage and decipher the underlying pathogenesis. Nevertheless, they have a great impact on SLE patients' health-related quality of life (HRQoL) and social functioning. Also, skin manifestations, such as alopecia and scaring, cataracts, and sicca symptoms result in a significant decrease in HRQoL. In light of recent developments in SLE treatment, we can expect to enter a period of new-age targeted therapies that will enable us to reduce disease activity and glucocorticoid usage further and positively alter the trajectory of damage development and accrual in SLE.

Exploration of machine learning methods to predict systemic lupus erythematosus hospitalizations

OBJECTIVES

Systemic lupus erythematosus (SLE) is a heterogeneous disease characterized by disease flares which can require hospitalization. Our objective was to apply machine learning methods to predict hospitalizations for SLE from electronic health record (EHR) data.

METHODS

We identified patients with SLE in a longitudinal EHR-based cohort with ≥2 outpatient rheumatology visits between 2012 and 2019. We applied multiple machine learning methods to predict hospitalizations with a primary diagnosis code for SLE, including decision tree, random forest, naive Bayes, logistic regression, and an ensemble method. Candidate predictors were derived from structured EHR features, including demographics, laboratory tests, medications, ICD-9/10 codes for SLE manifestations, and healthcare utilization. We used two approaches to assess these variables over longitudinal follow-up, including the incorporation of lagged features to capture changes over time of clinical data. The performance of each model was evaluated by overall accuracy, the F statistic, and the area under the receiver operator curve (AUC).

RESULTS

We identified 1996 patients with SLE. 4.6% were hospitalized for SLE in their most recent year of follow-up. Random forest models had highest performance in predicting SLE hospitalizations, with AUC 0.751 and AUC 0.772 for two approaches (averaging and progressive), respectively. The leading predictors of SLE hospitalizations included dsDNA positivity, C3 level, blood cell counts, and inflammatory markers as well as age and albumin.

CONCLUSION

We have demonstrated that machine learning methods can predict SLE hospitalizations. We identified key predictors of these events including known markers of SLE disease activity; further validation in external cohorts is warranted.

Comparing two machine learning approaches in predicting lupus hospitalization using longitudinal data

Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease characterized by flares ranging from mild to life-threatening. Severe flares and complications can require hospitalizations, which account for most of the direct costs of SLE care. This study investigates two machine learning approaches in predicting SLE hospitalizations using longitudinal data from 925 patients enrolled in a multicenter electronic health record (EHR)-based lupus cohort. Our first Differential approach accounts for the time dependencies in sequential data by introducing additional lagged variables between consecutive time steps. We next evaluate the performance of LSTM, a state-of-the-art deep learning model designed for time series. Our experimental results demonstrate that both methods can effectively predict lupus hospitalizations, but each has its strengths and limitations. Specifically, the Differential approach can be integrated into any non-temporal machine learning algorithms and is preferred for tasks with short observation periods. On the contrary, the LSTM model is desirable for studies utilizing long observation intervals attributing to its capability in capturing long-term dependencies embedded in the longitudinal data. Furthermore, the Differential approach has more options in handling class imbalance in the underlying data and delivers stable performance across different prognostic horizons. LSTM, on the other hand, demands more class-balanced training data and outperforms the Differential approach when there are sufficient positive samples facilitating model training. Capitalizing on our experimental results, we further study the optimal length of patient monitoring periods for different prediction horizons.

Predictors of hospitalization in patients with systemic lupus erythematosus: a 10-year cohort study

INTRODUCTION/OBJECTIVES

Recognising systemic lupus erythematosus (SLE) patients at higher risk for hospitalization, aiming at developing tailored management strategies, may help minimize admissions and improve long-term health outcomes. Our study aimed to identify predictors for hospitalization in patients with SLE.

METHOD

Cohort study of SLE patients followed in a referral centre. All hospitalizations from study baseline up to 120 months were identified, and the primary indication for admission was categorized as follows: (1) SLE disease activity; (2); infection; and (3) other conditions. Demographic, clinical, and laboratory parameters at baseline were sought as predictors of hospitalization for (i) any cause, (ii) disease activity, and (iii) infection using survival analysis with Kaplan-Meier curves and log-rank tests. Potential predictors were further tested using multivariate Cox proportional hazards regression models.

RESULTS

We included 398 patients (median follow-up: 120 months). The incidence rate of hospitalization was 17.7 per 100 patient-years. The most frequent indications for hospitalization were SLE disease activity (29.4%) and infection (23.4%). In multivariate analysis, male gender, age > 50 years, antiphospholipid antibodies positivity (aPL), SLEDAI-2 K > 5, organ damage, and prednisone daily dose (PDN) predicted hospitalization for any cause. SLEDAI-2 K > 5, aPL, PDN, and IS medication predicted hospitalization for active SLE. Male gender, prior biopsy-proven lupus nephritis, aPL, organ damage, and ongoing treatment with high-risk IS predicted hospitalization for infection. Treatment with antimalarials was associated with a lower risk of hospitalization for any cause and for infection.

CONCLUSIONS

Positive aPL identifies SLE patients presenting a higher risk of hospitalization, while medication with antimalarials was associated with a lower risk. Key Points • Positive aPL is predictive of hospitalization for any medical condition, disease activity, and infection • Organ damage is predictive of hospitalization for any condition and infection • Antimalarials are predictive of a lower risk of hospitalization for any condition and infection.

The utility of erythrocyte sedimentation rate, C-reactive protein, and procalcitonin in detecting infections in patients with systemic lupus erythematosus: A systematic review

OBJECTIVES

We conducted a systematic review with metanalysis to investigate the utility of erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and procalcitonin (PCT) in diagnosing infections in hospitalized patients with SLE.

METHODS

We searched Medline, Embase, Web of Science, ClinicalTrials.gov, and Cochrane Central Register of Controlled Trials (CENTRAL) with a search strategy developed by a medical librarian. We included retrospective, cross-sectional, case-control, and prospective studies in our analysis. We used the Quality Assessment of Diagnostic Studies (QUADAS-2) to assess for bias and applicability. We obtained mean differences, sensitivities, and specificities in our analysis.

RESULTS

We included 26 studies in our analysis. Most studies had an unclear or high risk of bias and our results were widely heterogenous. For the diagnosis of infections, the CRP had a pooled sensitivity of 0.75 (95%CI 0.57-0.94) and specificity of 0.72 (0.59-0.85), PCT had a pooled sensitivity of 0.68 (95% CI 0.0.59-0.77) and specificity of 0.75 (0.59-0.90), and for ESR pooled estimates were not calculated but sensitivity ranged from 50 to 69.8 and specificity from 38.5 to 55.6. Modifying cut-offs improved sensitivities and specificities. The ESR, CRP, and PCT mean differences were all greater in infection groups versus non-infection (10.1, 95% CI 3.2-17.0; 46.8, 95% CI 36.5-57.0; 0.53, 95% CI 0.26-0.80; respectively).

DISCUSSION

Poor sensitivities and specificities were observed for the evaluated biomarkers with substantial heterogeneity in the cut-offs used to determine infection. Although mean biomarker values were increased in the infection group compared with the non-infection, our findings do not support the widespread use of ESR, CRP, or PCT in diagnosing infection in hospitalized patients with SLE due to increased heterogeneity and risk of bias. Further investigation is needed.

Causes of Hospitalization for Systemic Lupus Erythematosus in Saudi Arabia Compared With the Global Setting: A Retrospective Single-center Observational Study

BACKGROUND

This study sought to evaluate the main causes of hospitalization of patients with systemic lupus erythematosus (SLE) in a tertiary health center in Saudi Arabia.

METHODS

A retrospective observational study was performed for all the SLE patients admitted to King Saud Medical City between 2016 and 2019. The primary reason for hospitalization was determined by the primary physician caring for the patient at the time of admission.

RESULTS

Of the 98 hospitalizations for SLE, 49% of patients were admitted from the emergency department (ED) and 51% from the rheumatology clinic. The most common reason for hospitalization was lupus flare (68.4%) followed by infection (20.4%). The lupus flare patients commonly presented with musculoskeletal (MSK)symptoms (34.6%), renal manifestations (25.5%), and skin rash (24.5%), whereas patients admitted with infection were commonly diagnosed with community-acquired pneumonia (12.2%). Other hospitalization causes were obstetric complications, adverse drug reactions, and thrombosis. Intensive care unit (ICU) admission was necessary for 7% of patients due to acute respiratory distress syndrome (ARDS) and pulmonary hemorrhage (28.6%) or other reasons (14.1%), such as pleural effusion, cardiac tamponade, and thrombotic thrombocytopenic purpura (TTP). Conclusions: The two most common reasons for SLE hospitalization were lupus flare and infection. Lupus flare was mainly due to MSK, renal, and dermatologic manifestations. The most common infection leading to hospitalization was community-acquired pneumonia, and ICU admission was mainly due to ARDS and pulmonary hemorrhage.

Hospitalization in patients with systemic lupus erythematosus at Tawam Hospital, United Arab Emirates (UAE): Rates, causes, and factors associated with length of stay

INTRODUCTION

Systemic lupus erythematosus (SLE) is a relapsing and remitting multiorgan disease associated with significant morbidity and mortality. The survival rate of patients with SLE has recently improved, which was associated with increased morbidity and hospitalization rates. Therefore, this study aimed to examine the rate and causes of hospitalization in patients with SLE and explore factors associated with increased length of stay (LOS).

METHODS

Patients who visited rheumatology clinics (Tawam hospital, United Arab Emirates (UAE)) and fulfilled the American College of Rheumatology (ACR) SLE criteria were identified. Retrospective charts were reviewed to determine previous admissions. Demographic data, reason for hospitalization, duration of hospitalization, intensive care unit (ICU) admission, number of specialist consultations, medications used, and SLE characteristics at time of admission were collected. The hospitalization rate was calculated as the number of hospitalized patients divided by the total number of patients with the disease. We performed multivariable regression analysis for factors associated with increased LOS.

RESULTS

A total of 91 patients with SLE (88 women and 3 men) met the inclusion criteria with a mean disease duration of 10.2 years (SD 5.5). A total of 222 admissions were identified, and 66 of 91 patients were admitted at least once. The mean crude hospitalization rate calculated was 29.8%. The primary reason for admission was pregnancy (29%), SLE activity (24%), and infection (20%). When combining primary and secondary reasons, the proportion of admissions due to SLE activity increased to 32%. The mean LOS was 5.9 (SD 6.0) days. About 7% of admitted patients required ICU admission. In multivariable analysis, patients with lupus nephritis, complications during hospitalization, and increased number of specialists consultations and who were admitted to ICU and started new medication were all associated with increased LOS.

CONCLUSION

A significant proportion of patients with SLE were hospitalized during their disease course. The hospitalization rate in this study appears to be higher than those reported elsewhere. Disease flare is the leading cause of admission in patients with SLE in this relatively young cohort. Lupus nephritis has been found to be significantly related to longer LOS. Measurements taken to reduce the incidence and severity of flares would likely decrease hospitalization rate and LOS in patients with SLE.

Prediction of hospitalizations in systemic lupus erythematosus using the Systemic Lupus International Collaborating Clinics Frailty Index (SLICC-FI)

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.

Patient-Reported Lupus Flare Symptoms Are Associated with Worsened Patient Outcomes and Increased Economic Burden

BACKGROUND

Lupus flares significantly contribute to health resource utilization and hospitalizations. Identification of flare activity may be hindered since validated assessment scales are rarely used in clinical practice and flare severity may fall below clinician-assessed thresholds. Therefore, patient-reported outcomes of lupus flare frequency are important assessment tools for lupus management.

OBJECTIVE

To better understand the relationship between lupus flares as reported by persons with lupus and specific direct and indirect costs, including hospital admission, unplanned urgent care (UC)/emergency department (ED) visits, work productivity loss, and nonwork activity impairment.

METHODS

In this cross-sectional analysis, persons with lupus were drawn from 2 enriched sampling sources. Data were collected via an online survey and included individuals with self-reported physician's diagnosis of systemic lupus erythematosus, skin or discoid lupus, or lupus nephritis. Respondents were asked the total number of hospitalizations and ED/UC visits for any reason and for lupus-related hospitalizations and ED/UC visits. Work productivity loss and nonwork activity impairment were measured via the Work Productivity and Activity Impairment - General Health scale. The sample was stratified into those with 0 flares, 1-3 flares, 4-6 flares, and 7 or more flares, with 0 flares used as the reference. Chi-square tests for trend and analyses of variance were used to evaluate differences among flare frequency groups. Multivariable regression modeling was conducted to evaluate the independent relationship of flare frequency to health care use and productivity loss.

RESULTS

We studied 1,288 survey respondents with known flare frequency in the past 12 months. Flare frequency increased with duration of illness. The mean number of lupus-related hospital admissions was significantly associated with increasing flare frequency for the total sample (F = 3.9; P < 0.009). Compared to patients with no flare, those who reported flare activities had 1.72-3.13 times higher rates of hospitalizations. The mean number of lupus-related ED/UC visits were also found to be significantly associated with increasing flare frequency for the total sample (F = 23.4; P < 0.001), and rates were increased by 6.98- to 16.12-fold for unplanned ED/UC visits depending on flare frequency. Rates of employment were significantly related to increasing flare frequency. With respect to work-related impairment, absenteeism increased with greater lupus flare frequency (F = 6.2; P < 0.001), as did presenteeism (F = 31.5; P < 0.001) and the combined value of total work productivity loss (F = 30.4; P < 0.001). Mean work-related activity impairment was 12%-32% more among patients who reported flare activities compared to those who reported no flares.

CONCLUSIONS

Increased lupus-related flare frequency is associated with worsened patient outcomes as measured by increased hospitalizations, visits to the ED/UC, work productivity loss, and activity impairment. This association may be an important indicator of disease severity and resource burden and therefore suggests an unmet need among patients experiencing lupus-related flares.

DISCLOSURES

This study was sponsored by Mallinckrodt Pharmaceuticals via grants to Vedanta Research and The Lupus Foundation of America. Katz received consulting fees from Vedanta Research, which received grant support from Mallinckrodt Pharmaceuticals to support data collection and analysis. Nelson and Connolly-Strong are employees of Mallinckrodt Pharmaceuticals and are stockholders in the company. Reed is an employee of Vedanta Research. Daly and Topf are employees of the Lupus Foundation of America, which received grant funding to support data collection. This study was a podium presentation at The American College of Rheumatology (ACR) Annual Meeting 2018; October 19-24, 2018; Chicago, IL.

Remission and low disease activity state prevent hospitalizations in systemic lupus erythematosus patients

Objective

The aim of this study was to determine whether remission and low disease activity state protect systemic lupus erythematosus patients from being hospitalized.

Materials and methods

Patients from the Almenara Lupus Cohort were included. Visits were performed every 6 months. Variables were measured at each visit. Hospitalizations were evaluated in the interval between two visits. Remission was defined as: a SLEDAI-2 K of 0, prednisone ≤5 mg/day and immunosuppressants on maintenance dose; low disease activity state as: a SLEDAI-2 K of ≤4, prednisone ≤7.5 mg/day and immunosuppressants on maintenance dose. Univariable and multivariable interval-censored survival regression models were used. In multivariable analysis, possible confounders were gender, age at diagnosis, socioeconomic status, educational level, disease duration, antimalarial use, the Systemic Lupus International Collaborating Clinics/American College of Rheumatology damage index (SDI) and Charlson comorbidity index. Confounders were determined in the same visit as disease activity state.

Results

Of the 308 patients, 92.5% of them ( n = 285) were women, had a mean age at diagnosis of 34.8 (13.4) years and a disease duration of 7.7 (6.5) years. At baseline the mean SDI was 1.13 (1.34). A total of 163 of the patients were hospitalized. In the multivariable analysis remission (hazard ratio 0.445 (0.274–0.725), P = 0.001) and low disease activity state (relative risk 0.504 (0.336–0.757), P = 0.001) at baseline were found to decrease the risk of hospitalization in systemic lupus erythematosus patients. A total of 158 hospitalizations presented a discernible cause. Disease activity was the most common cause of hospitalization, with 84 admissions (53.16%), the majority, 38, was due to active kidney disease (45.23%).

Conclusion

Remission and low disease activity state decreased the risk of hospitalizations in these systemic lupus erythematosus patients. Disease activity, particularly renal, was the most frequent cause of hospitalization.

Causes and factors related to hospitalizations in patients with systemic lupus erythematosus: analysis of a 20-year period (1995-2015) from a single referral centre in Catalonia

INTRODUCTION

Although extensively characterized in the outpatient setting, systemic lupus erythematosus (SLE) in the hospitalization wards is still scarcely portrayed, particularly in the perspective of its evolution over the years.

METHODS

Retrospective analysis of SLE patients hospitalized in the Department of Autoimmune Diseases of a university hospital during a 20-year period (1995-2015), describing hospitalization characteristics, causes and predictors of outcome.

RESULTS

A total of 814 hospitalizations concerning 339 patients were analysed. The main causes of admission were flare (40.2%), infection (19.2%), diagnostic procedures (18.8%) and thrombotic events (5.4%). Therapy with cyclophosphamide (odds ratio (OR) 1.908, p = 0.047) was associated with admission due to infection, while antimalarials displayed a protective effect (OR 0.649, p = 0.024). Nearly 3.9% of patients required admission to an intensive care unit, with associated antiphospholipid syndrome (OR 7.385, p = 0.04) standing as a predicting factor for this outcome. Readmission at 30 days occurred in 5.8% of patients, with thrombocytopenia (OR 6.007, p = 0.002) and renal involvement (OR 3.362, p = 0.032) featuring as predicting factors. Eight patients died, with antiphospholipid syndrome (OR 26.814, p = 0.02) and thrombocytopenia (OR 31.523, p = 0.01) being associated with mortality. There was no significant variation in patients' demographics or admission causes across the 20-year period, except for a decrease in admissions due to thrombotic and musculoskeletal causes. Recently, an increase in the use of mycophenolate mofetil and lower doses of glucocorticoids were noted.

CONCLUSION

While demographics of SLE hospitalizations have not markedly changed over the past 20 years, changes in therapy patterns were observed. Thrombocytopenia, antiphospholipid syndrome and renal involvement featured as predictors of poor outcome.

Socioeconomic status at diagnosis influences the incremental direct medical costs of systemic lupus erythematosus: A longitudinal population-based study

OBJECTIVES

To assess the incremental direct medical costs of a population-based cohort of incident systemic lupus erythematosus (SLE) for the first five years after diagnosis, and impact of socioeconomic status (SES) on such incremental costs.

METHODS

From the administrative health databases in British Columbia, Canada, we identified all adults with newly-diagnosed SLE from 1996 to 2010 and obtained a sample from the general non-SLE population matched on sex, age, and calendar-year. We captured costs for outpatient encounters, hospitalisations, and dispensed medications. Using two-part generalised linear models, we estimated per-person-year incremental costs of SLE (difference in costs between SLE and non-SLE, controlling for covariates) during the first five years after diagnosis, and assessed differences in incremental costs across SES groups.

RESULTS

We included 4679 newly-diagnosed SLE (86% identified from hospitalisations or rheumatologists) and 23,219 non-SLE individuals. Per-person direct costs for SLE in the first year after diagnosis averaged $13,038 (2013 Canadian), with 61% from hospitalisations, 23% from outpatient encounters, and 16% from medications; costs for non-SLE averaged $2,431. Following adjustment, incremental costs of SLE during the first five years after diagnosis averaged $10,078 per-person-year (95% CI=$2062-$32,254). Predicted incremental hospitalisation, outpatient, and medication costs were all significantly-greater for the low-SES patients versus high-SES (additional $1922 per-person-year in incremental costs for low-SES). Similar patterns were observed when restricting to those followed the full five-years after index date.

CONCLUSION

Even in a single-payer, publicly-funded healthcare setting, low SES at SLE diagnosis was associated with significantly-greater direct medical costs for the management of SLE and associated complications.

Characterization of indigenous community engagement in arthritis studies conducted in Canada, United States of America, Australia and New Zealand

BACKGROUND

Research adhering to community engagement processes leads to improved outcomes. The level of Indigenous communities' engagement in rheumatology research is unknown.

OBJECTIVE

To characterize the frequency and level of community engagement reporting in arthritis studies conducted in Australia (AUS), Canada (CAN), New Zealand (NZ) and the United States of America (USA).

METHODS

Studies identified through systematic reviews on topics of arthritis epidemiology, disease phenotypes and outcomes, health service utilization and mortality in Indigenous populations of AUS, CAN, NZ and USA, were evaluated for their descriptions of community engagement. The level of community engagement during inception, data collection and results interpretation/dissemination stages of research was evaluated using a custom-made instrument, which ranked studies along the community engagement spectrum (i.e. inform-consult-involve-collaborate-empower). Meaningful community engagement was defined as involving, collaborating or empowering communities. Descriptive analyses for community engagement were performed and secondary non-parametric inferential analyses were conducted to evaluate the possible associations between year of publication, origin of the research idea, publication type and region of study; and meaningful community engagement.

RESULTS

Only 34% (n = 69) of the 205 studies identified reported community engagement at ≥ 1 stage of research. Nearly all studies that engaged communities (99% (n = 68)) did so during data collection, while only 10% (n = 7) did so at the inception of research and 16% (n = 11) described community engagement at the results' interpretation/dissemination stage. Most studies provided community engagement descriptions that were assessed to be at the lower end of the spectrum. At the inception of research stage, 3 studies reported consulting communities, while 42 studies reported community consultation at data collection stage and 4 studies reported informing or consulting communities at the interpretation/dissemination of results stage. Only 4 studies described meaningful community engagement through all stages of the research. Inferential statistics identified that studies with research ideas that originated from the Indigenous communities involved were significantly more associated with achieving meaningful community engagement.

CONCLUSIONS

The reporting of Indigenous community engagement in published arthritis studies is limited in frequency and is most frequently described at the lower end of the community engagement spectrum. Processes that support meaningful community engagement are to be promoted.

All-cause hospitalizations in systemic lupus erythematosus from a single medical center in Israel

OBJECTIVE

Clinical features of systemic lupus erythematosus (SLE) have been described from different geographical regions in the world. The aim of this study was to obtain local and contemporary data on all-cause hospitalizations of SLE patients in an Israeli Medical Center.

METHODS

This is a retrospective observational single-center study. Revision of medical records of hospitalized lupus patients during 5-year period (January 2012-December 2016) was performed.

RESULTS

A total of 61 lupus patients and 138 hospitalizations were identified. Female-to-male ratio was 9:1. Average age was 42.5 years. Average disease duration was 14.58 years. Mean SLICC/ACR damage index was 0.75. The majority of patients were treated with lupus medications (47, 77%). The most common lupus medications were hydroxychloroquine (40, 65.5%), prednisone (25, 40.9%), and azathioprine (9, 14.75%). The most common reasons for hospitalization were disease flare (28, 20.3%), pregnancy and labor (26, 18.9%), and infection (19, 13.8%). The average length of hospitalization for all patients was 6.65 days. No fetal morbidity was recorded, and there was one event of maternal morbidity. There were no cases of acute coronary events. There were six ICU admissions (4.35%). Two admissions (1.45%) were complicated by hospital-acquired infection. Three patients died (2.17%) during hospital stay.

CONCLUSIONS

This survey from a single Israeli medical center revealed low rates of pregnancy complications, coronary events, and nosocomial infections in hospitalized lupus patients. Further studies are required to determine whether these findings reflect local disease expression or it may remark global trend of decrease in lupus complications.

Healthcare utilization for arthritis by indigenous populations of Australia, Canada, New Zealand, and the United States: A systematic review☆

PURPOSE

Indigenous populations of Australia, Canada, New Zealand, and the United States of America (USA) experience a higher prevalence of arthritis conditions. Differences in clinical outcomes and mortality may reflect healthcare service use inequities. The objective of this study was to summarize healthcare service use patterns described in the existing literature in order to identify gaps and inform strategies to limit the pronounced negative impact of arthritis on Indigenous populations.

METHODS

Medline, EMBASE, CINAHL, and Indigenous-specific electronic databases (to June 2015) were used to identify cohort, case-control and cross-sectional studies describing healthcare service use by Indigenous populations with specified inflammatory arthritis, osteoarthritis, or rheumatic disease conditions. We extracted information on the study setting and methodology, primary outcome and assessed study quality, and risk of bias.

RESULTS

In total, 19 studies were identified describing three types of healthcare service use: physician visits, hospitalizations, and surgeries. In Canada and New Zealand, Indigenous populations had 36-51% fewer visits to specialists than the non-Indigenous population. Indigenous populations in Canada, New Zealand, and the USA had 37-300% more hospitalizations due to arthritis complications than the non-Indigenous population. Indigenous populations in Australia, Canada, and New Zealand had 27-85% fewer arthroplasties for osteoarthritis than the non-Indigenous population.

CONCLUSIONS

Indigenous populations had higher hospitalization rates but lower use of specialized services for arthritis conditions. Strategies to improve access to specialized arthritis services might reduce health outcome inequities.

The rate of and risk factors for frequent hospitalization in systemic lupus erythematosus: results from the Korean lupus network registry

Objectives The survival rate of patients with systemic lupus erythematosus has improved in the last few decades, but the rate of hospitalization and health care costs for these patients remain higher than in the general population. Thus, we evaluated the rate of hospitalization and associated risk factors in an inception cohort of Korean patients with lupus. Methods Of the 507 patients with systemic lupus erythematosus enrolled in the KORean lupus NETwork, we investigated an inception cohort consisting of 196 patients with systemic lupus erythematosus presenting within 6 months of diagnosis based on the American College of Rheumatology classification criteria. We evaluated the causes of hospitalization, demographic characteristics, and laboratory and clinical data at the time of systemic lupus erythematosus diagnosis of hospitalized patients and during a follow-up period. We calculated the hospitalization rate as the number of total hospitalizations divided by the disease duration, and defined "frequent hospitalization" as hospitalization more than once per year. Results Of the 196 patients, 117 (59.6%) were admitted to hospital a total of 257 times during the 8-year follow-up period. Moreover, 22 (11.2%) patients were hospitalized frequently. The most common reasons for hospitalization included disease flares, infection, and pregnancy-related morbidity. In the univariate regression analysis, malar rash, arthritis, pericarditis, renal involvement, fever, systemic lupus erythematosus disease activity index > 12, hemoglobin level < 10 mg/dl, albumin level < 3.5 mg/dl, and anti-Sjögren's syndrome A positivity were associated with frequent hospitalization. Finally, multivariate analysis showed that arthritis, pericarditis, and anti-Sjögren's syndrome A antibody positivity at the time of diagnosis were risk factors for frequent hospitalization. Conclusions Our results showed that frequent hospitalization occurred in 11.2% of hospitalized patients and arthritis, pericarditis, and anti-Sjögren's syndrome A antibody positivity at the time of diagnosis were risk factors for frequent hospitalization.

Is there still a place for erythrocyte sedimentation rate and C-reactive protein in systemic lupus erythematosus?

The inflammatory response during systemic lupus erythematosus (SLE) flares is known to be atypical, characterized by a disproportionately lower C-reactive protein (CRP) elevation when compared with erythrocyte sedimentation rate (ESR). Thus, in these patients, the analysis of inflammatory markers might be challenging in daily clinical practice. Clinicians need frequently to distinguish lupus reactivations and infectious conditions, and the significance of ESR and CRP seems to be different. Even though a non-specific marker of inflammation, ESR utility in SLE should not be neglected and it appears to be a useful biomarker for SLE activity assessment. Describing a specific cut-off for ESR in SLE is important for patients' follow-up, and levels up to 25-30 mm/h have been proposed as an upper limit of the normal range. Regarding CRP, even though higher baseline levels are described in SLE when compared with controls, including in remission periods, its response during flares seems to be incomplete and not always correlated with disease activity; while CRP values greater than 10 mg/l could be indicative for severe flares, when there is no serositis or arthritis, higher CRP levels above 50-60 mg/l may be associated with infection.

Systemic lupus erythematosus flare triggered by a spider bite

Systemic lupus erythematosus is a chronic autoimmune disease with a relapsing and remitting course characterized by disease flares. Flares are a major cause of hospitalization, morbidity and mortality in patients with systemic lupus erythematosus. Some triggers for these exacerbations have been identified, including infections, vaccines, pregnancy, environmental factors such as weather, stress and drugs. We report a patient who presented with a lupus flare with predominantly mucocutaneous, serosal and cardiac involvement after being bitten by a spider and we present the possible mechanisms by which the venom elicited such a reaction. To the best of our knowledge, this is the first such case reported in the literature.

Significant Reductions in Mortality in Hospitalized Patients with Systemic Lupus Erythematosus in Washington State from 2003 to 2011

Background

Systemic lupus erythematosus (SLE or lupus) is an autoimmune multisystem disease. While a complete understanding of lupus’ origins, mechanisms, and progression is not yet available, a number of studies have demonstrated correlations between disease prevalence and severity, gender, and race. There have been few population based studies in the United States

Objectives

To assess temporal changes in demographics and hospital mortality of patients with lupus in Washington State from 2003 to 2011

Study Design

This study used data from the Healthcare Cost and Utilization Project (HCUP), a patient information database, and data from the Washington State census to study a group of patients in the state. Lupus hospitalizations were defined as any hospitalization with an ICD-9-CM diagnosis code for systemic lupus erythematosus. Regression analysis was used to assess the effect of calendar time on demographics and hospital outcomes.

Results

There were a total of 18,905 patients in this study with a diagnostic code for lupus. The mean age of the group was 51.5 years (95% CI: 50.6-52.3) in 2003 and 51.3 years (95% CI: 50.6-52.0) in 2011. The population was 88.6% female. Blacks were 2.8 times more likely to have a lupus hospitalization than whites when compared to the Washington population. While hospital mortality decreased during this eight year period (3.12% in 2003 to 1.28% in 2011, p=0.001) hospital length of stay remained statistically unchanged at an average of 4.9 days during that eight year period. We found a significant decrease in annual hospital mortality over the study period [odds ratio(OR): 0.92 per year, 95% CI 0.88-0.96, P<0.001]. Hospital mortality was higher in males (2.6% male death to 1.8% female death)

Conclusions

In this large group of hospitalized lupus patients in Washington, hospital length of stay remained relatively stable over time but hospital mortality decreased by over 50% over the eight year study period.

Causes and outcome of hospitalisations in Tunisian patients with systemic lupus erythematosus

Objective

To describe the most common reasons of admission of Tunisian patients with systemic lupus erythematosus (SLE) and the outcomes of these hospitalisations.

Method

The charts of patients with SLE who were hospitalised at our Department of Internal Medicine during a 2-year period from January 2011 to December 2012 were retrospectively reviewed, and the demographic characteristics, clinical and laboratory features, as well as all comorbidities, were collected.

Results

There were 128 episodes of hospitalisation of 87 patients with SLE. 25 patients (28.7%) were admitted twice or more. The median length of stay for all admissions was 11 days (2–76). The total number of days of hospitalisation was 1896 days, which represent 10.7% of the total number of days of hospitalisation in our department. The most common overall reason for hospitalisation was active SLE (55 events, 43%). In 29 patients, SLE was newly diagnosed during hospitalisation. Other causes of hospitalisation included assessment of the disease, infections (9.4%) and associated autoimmune disease (6.25%). Adverse drug reaction (3.1%) and thromboembolic events (1.25%) were uncommon causes of hospitalisations. There was a significant difference in length of stay between patients admitted with SLE flare and those admitted for non-SLE flare reasons (p<0.01). Four hospitalisations (3%) resulted in death. The principal cause of death was active SLE.

Conclusions

Hospitalisation of patients with SLE is common in our department. Our study of this North African SLE population confirms the findings of previous studies suggesting that active SLE and infection remain the most common causes of hospitalisation of patients with SLE.