Impact of early versus late systemic lupus erythematosus diagnosis on clinical and economic outcomes

Early diagnosis of lupus: A possibilty. A multicentric study from SLE Special Interest Group (SIG) of Indian Rheumatology Association (IRA)

INTRODUCTION

Systemic Lupus Erythematosus (SLE) warrants an early diagnosis and prompt management. Delay in diagnosis can result in repeated flares, permanent damage, and even death. There is a large variability in the time taken to diagnose SLE across the world. We undertook this study to determine the time taken for diagnosis of SLE in India and to identify the factors associated.

METHODS

Patients with SLE diagnosed within the previous 1 year as per Systemic Lupus Erythematosus International Collaborating Clinics criteria (SLICC) 2012 criteria were included in a cross-sectional multicentre questionnaire-based survey. Demographic profile, self-reported socioeconomic status as per Kuppuswamy classification of socioeconomic status (version 2022) (SES), and several healthcare related parameters including referral pattern were recorded. Median time taken for diagnosis was used to demarcate early or late diagnosis and associated factors were explored.

RESULTS

We included 488 patients with SLE from 10 rheumatology centres. The median time to diagnosis was 6 months Interquartile Range (IQR 3,14.7) and within 3 months in about one third [150(30.7%)]. Very early diagnosis (<1 month) was established in 78(16.0%) patients. The mean SLE Disease Activity Index (SLEDAI) at diagnosis was 10.28+7.24. In univariate analysis, an older age, lower SES, non-southern state of residence and larger family size were significantly associated with late diagnosis. In the multivariate analysis, higher SES (AOR 0.95, 95% CI: 0.92-0.98), multiple organ system involvement at initial presentation (AOR1.75 95%CI: 1.08-2.84) and place of residence in south Indian states (AOR1.92 95%CI: 1.24-2.97) had lesser odds of being associated with late diagnosis. Distance from the closest medical centre/professional did not influence the time to diagnosis. Majority of patients had first consulted a medical graduate (42.5%) or postgraduate doctor (48.2%), and referral to rheumatologist was largely done by postgraduate (65%) doctors. More than half of our patients (61%) self-finance their treatment.

CONCLUSION

Median time to diagnosis of SLE was 6 months, 1/3rd being diagnosed within 3 months and 78(16.0%) with 1 month of symptom onset. Delay in diagnosis was noted in those belonging to lower socioeconomic strata and those with single organ disease. Distance to the health care facility did not influence time to diagnosis.

[Current patient care of systematic lupus erythematosus in Rhineland-Palatinate and Saarland]

BACKGROUND

Systemic lupus erythematosus (SLE) is a clinically heterogeneous autoimmune disease that is associated with great suffering for those affected, as well as high socioeconomic costs. Early diagnosis and adequate medical care are essential for a mild course of the disease. However, there is a lack of current figures and data on the care situation of patients in the area.

METHODOLOGY

A total of 1546 general practitioners, rheumatologists, neurologists, nephrologists and dermatologists in Rhineland-Palatinate and Saarland were interviewed by fax or mail using a questionnaire regarding epidemiology, symptoms, therapy and therapy success. In addition, there was the possibility of making suggestions for improvement.

RESULTS

Five out of six of the 635 reported SLE patients were female. The most common main symptoms were arthralgia, fatigue, myalgia, and skin changes. Of the patients, 68% received antimalarials (AMs), whereas 46% were treated with glucocorticoids (GCs) and 50% with an immunosuppressant (IS), mainly methotrexate. In terms of comorbidities, patients suffered mainly from cardiovascular disease, fibromyalgia syndrome and depression. Rheumatologists also frequently described anaemia, diabetes mellitus and osteoporosis.

DISCUSSION

Compared with guideline recommendations, the low rate of AMs in therapy was particularly striking in patients not treated by rheumatologists (35% on average compared with 81% for rheumatologists). Additionally, (sustained) high doses of GCs are not in line with literature recommendations. In the free text field, the main requests were for more rheumatologists in private practice and faster appointment scheduling, as well as better communication and networking. In addition, the desire for more training and education was frequently expressed..

Clinical management of lupus in the United States: A claims-based analysis

OBJECTIVES

To understand the evaluation and management of patients coded with lupus in the broad clinical community in the United States.

METHODS

Claims data for diagnoses, procedures, medications, and physician specialties were evaluated for three lupus cohorts [lupus nephritis (LN), systemic lupus erythematosus excluding LN (SLE), and cutaneous lupus erythematosus excluding SLE and LN (CLE)] using the EVERSANA claims databases. Identification of patients was based upon the occurrence of lupus-specific codes, with the requirement that a single patient receive a lupus-related ICD code twice within a six-month period.

RESULTS

Using ICD codes, we were able to identify 28,372 patients coded with LN, 82,744 patients coded with SLE, and 13,920 patients coded with CLE, and subsequently evaluate the journey of patients in each group in the year before and after being coded as having a diagnosis of lupus. For the three lupus cohorts, the basis of diagnosis was not always apparent, as clinical features of lupus were not often obtained, autoantibody testing was not usual, biopsies were uncommon and subspecialty involvement was not routine. In addition, a significant increase in laboratory testing, non-lupus diagnoses, emergency department visits and cost during the year before receiving a lupus code suggested uncertainty in disease recognition. Nevertheless, these patients received two separate lupus coding events within a six-month period, supporting a sustained or repeated diagnosis of lupus by the evaluating clinicians. When compared, the three lupus cohorts differed with regard to frequency of laboratory testing, subspecialty care, skin and renal biopsies, and medication management. Moreover, there was an increase in the cost of care of patients coded with lupus compared to a reference patient population both during the year before and after being coded with a diagnosis of lupus.

CONCLUSION

The data present a comprehensive report of the care of patients coded as having a diagnosis of lupus in the United States, including those outside of specialty centers. Despite the unclear basis of diagnosis in some patients, evaluation and management of patients coded as having a diagnosis of lupus in the general care community does not closely follow the recommended guidelines set forth by professional societies.

Belimumab in early systemic lupus erythematosus: A propensity score matching analysis

OBJECTIVE

This study aimed to evaluate the clinical efficacy of belimumab in patients with early systemic lupus erythematosus (SLE), defined as having a disease duration of less than 6 months.

METHODS

We retrospectively identified patients with SLE in the early stage who received belimumab and standard of care (belimumab group) or standard of care alone (control group) since September 2020. Propensity score matching (PSM) was used to reduce potential bias. The primary endpoint was lupus low disease activity status (LLDAS) at weeks 12 and 24. The secondary endpoints were remission and the proportion of glucocorticoid dose tapering to 7.5 mg/day. The efficacy of belimumab in patients with lupus nephritis was also assessed.

RESULTS

Out of 111 eligible patients, 16 patients in the belimumab group and 31 patients in the control group were identified by 1:2 PSM. At week 24, a significantly higher proportion of individuals achieved low disease activity state (LLDAS) in the belimumab group compared to the control group (56.3% vs. 19.4%, OR = 5.357, 95% CI = 1.417 to 20.260, p = 0.013). Furthermore, more patients in the belimumab group were reduced to low-dose glucocorticoid ( ≤ 7.5 mg/day) at week 24 (75.0% vs. 35.5%, OR = 5.182, 95%CI = 1.339 to 20.058, p = 0.017). Significant improvements in Patient Global Assessment scores were observed at Week 12 and 24 for those treated with belimumab compared to controls. In a subgroup analysis evaluating the efficacy of belimumab in patients with lupus nephritis, 42.9% of the seven individuals treated with belimumab achieved a complete renal response (CRR) by Week 24, and no instances of disease relapse were observed.

CONCLUSIONS

In SLE patients with a disease duration of less than 6 months, belimumab treatment can promote LLDAS achievement and reduce glucocorticoid dose, leading to a better prognosis. Introducing belimumab in the early stage of SLE may be a beneficial decision.

Lack of awareness of systemic lupus erythematosus and its consequences in a cohort of moderate and severe patients in Spain: The LupusVoice study

BACKGROUND AND OBJECTIVES

Systemic lupus erythematosus (SLE) is an autoimmune condition that can highly impact patients' quality of life (QoL). However, there is a lack of knowledge about SLE, affecting the general population and health care professionals (HCPs) alike. This lack of knowledge has negative implications for patients and the healthcare system, worsening prognosis, negatively impacting QoL, and increasing healthcare utilization. The aim of this paper is to draw attention, according to the perspective of the participants of this study, to the lack of awareness of SLE and its consequences in Spain, and to suggest improvements.

PATIENTS AND METHODS

This qualitative, descriptive, observational, multicenter, and cross-sectional study included 40 patients with moderate or severe SLE, recruited during their routine visits in six university hospitals in Spain. The study also included 11 caregivers and 9 HCPs. All participants were individually interviewed. Data from the interviews were coded and analyzed thematically by two anthropologists following a phenomenological perspective.

RESULTS

Our study identified a lack of disease awareness among primary care physicians, emergency medicine doctors, and other specialists treating SLE symptomatology. This led to diagnostic delays, which had a clinical and emotional impact on patients. Furthermore, symptom awareness was found to be context dependent. Differences in symptom awareness between HCPs and patients led to a mismatch between the severity evaluation made by doctors and patients. Some HCPs did not consider the limitations of the current severity evaluation of SLE, and therefore attributed symptoms potentially caused by SLE to the unfavorable socioeconomic conditions patients lived in. Finally, a lack of social awareness among friends, family members, and romantic partners led to lower social support, increased isolation, and negative physical and emotional impact for patients. Gender differences in the provision of support were identified.

CONCLUSION

This study highlights the need to increase SLE awareness among patients, HCPs, and the broader public in order to improve patient QoL. Being aware of the clinical and emotional impact of such lack of awareness, as well as the role played by context on the patient experience of SLE, is a crucial step towards achieving this goal.

Time to diagnosis in systemic lupus erythematosus: Associated factors and its impact on damage accrual and mortality. Data from a multi-ethnic, multinational Latin American lupus cohort

BACKGROUND

Systemic lupus erythematosus (SLE) often mimics symptoms of other diseases, and the interval between symptom onset and diagnosis may be long in some of these patients. Aims: To describe the characteristics associated with the time to SLE diagnosis and its impact on damage accrual and mortality in patients with SLE from a Latin American inception cohort.

METHODS

Patients were from a multi-ethnic, multi-national Latin-American SLE inception cohort. All participating centers had specialized lupus clinics. Socio-demographic, clinical/laboratory, disease activity, damage, and mortality between those with a longer and a shorter time to diagnosis were compared using descriptive statistical tests. Multivariable Cox regression models with damage accrual and mortality as the end points were performed, adjusting for age at SLE diagnosis, gender, ethnicity, level of education, and highest dose of prednisone for damage accrual, plus highest dose of prednisone, baseline SLEDAI, and baseline SDI for mortality.

RESULTS

Of the 1437 included in these analyses, the median time to diagnosis was 6.0 months (Q1-Q3 2.4-16.2); in 721 (50.2%) the time to diagnosis was longer than 6 months. Patients whose diagnosis took longer than 6 months were more frequently female, older at diagnosis, of Mestizo ethnicity, not having medical insurance, and having "non-classic" SLE symptoms. Longer time to diagnosis had no impact on either damage accrual (HR 1.09, 95% CI 0.93-1.28, p = 0.300) or mortality (HR 1.37, 95% CI 0.88-2.12, p = 0.200).

CONCLUSIONS

In this inception cohort, a maximum time of 24 months with a median of 6 months to SLE diagnosis had no apparent negative impact on disease outcomes (damage accrual and mortality).

Clinical and economic burden of systemic lupus erythematosus in Colombia

AIMS

Our cost-of-illness (COI) model adopted payer and societal perspectives over five years to measure the economic burden of Systemic Lupus Erythematosus (SLE) in Colombia.

MATERIALS AND METHODS

A prevalence-based model was constructed to estimate costs and economic consequences for SLE patients in Colombia. The model included four health states: three phenotypes of SLE representing mild, moderate, and severe states and death. The clinical inputs were captured from the published literature and validated by the Delphi panel. Our model measured direct medical and indirect costs, including disease management, transient events, and indirect costs. One-way sensitivity analysis was also performed.

RESULTS

The number of Colombian SLE patients was 37,498. The number of SLE patients with mild, moderate, and severe phenotypes was 5343, 28757 and 3,397, respectively. SLE-patients with moderate (Colombian pesos; COP 146 billion) and severe phenotypes (COP276 billion) incurred higher costs than those with mild phenotypes (COP2 billion), over 5 years. The total SLE cost in Colombia over five years from the payer and societal perspectives was estimated to be COP 915 billion and 8 trillion, respectively. The costs per patient per year from the payer and societal perspectives were COP 4,881,902 ($3,510) and COP 46,637,054 ($33,528), respectively.

CONCLUSION

The burden of SLE in Colombia over five years is substantially high, mainly due to the consequences of economic loss because it affects women and men of working age, in addition to the costs of SLE management and its consequences, such as flares, infection, and organ damage. Our COI indicated that disease management costs among patients with moderate and severe SLE were substantially higher than those among patients with a mild phenotype. Therefore, more attention should be paid to limiting the progression of SLE and the occurrence of flares, with the need for further economic evaluation of novel treatment strategies that help in disease control.

Management and treatment of children, young people and adults with systemic lupus erythematosus: British Society for Rheumatology guideline scope

The objective of this guideline is to provide up-to-date, evidence-based recommendations for the management of SLE that builds upon the existing treatment guideline for adults living with SLE published in 2017. This will incorporate advances in the assessment, diagnosis, monitoring, non-pharmacological and pharmacological management of SLE. General approaches to management as well as organ-specific treatment, including lupus nephritis and cutaneous lupus, will be covered. This will be the first guideline in SLE using a whole life course approach from childhood through adolescence and adulthood. The guideline will be developed with people with SLE as an important target audience in addition to healthcare professionals. It will include guidance related to emerging approved therapies and account for National Institute for Health and Care Excellence Technology Appraisals, National Health Service England clinical commissioning policies and national guidance relevant to SLE. The guideline will be developed using the methods and rigorous processes outlined in 'Creating Clinical Guidelines: Our Protocol' by the British Society for Rheumatology.

Clinical patterns of disease: From early systemic lupus erythematosus to late-onset disease

Systemic lupus erythematosus (SLE) is a complex disease with an insidious clinical presentation. In up to half of the cases, SLE onset is characterized by clinical and serological manifestations that, although specific, are insufficient to fulfill the classification criteria. This condition, called incomplete SLE, could be as challenging as the definite and classifiable SLE and requires to be treated according to the severity of clinical manifestations. In addition, an early SLE diagnosis and therapeutic intervention can positively influence the disease outcome, including remission rate and damage accrual. After diagnosis, the disease course is relapsing-remitting for most patients. Time in remission and cumulative glucocorticoid exposure are the most important factors for prognosis. Therefore, timely identification of SLE clinical patterns may help tailor the therapeutic intervention to the disease course. Late-onset SLE is rare but more often associated with delayed diagnosis and a higher incidence of comorbidities, including Sjogren's syndrome. This review focuses on the SLE disease course, providing actionable strategies for early diagnosis, an overview of the possible clinical patterns of SLE, and the clinical variation associated with the different age-at-onset SLE groups.

Machine learning, a new tool for the detection of immunodeficiency patterns in systemic lupus erythematosus

Systemic lupus erythematosus (SLE) is a complex autoimmune disease that affects several organs and causes variable clinical symptoms. Early diagnosis is currently the most effective way to save the lives of patients with SLE. But it is very difficult to detect in the early stages of the disease. Because of this, this study proposes a machine learning system to help diagnose patients with SLE. To carry out the research, the extreme gradient boosting method has been implemented due to its performance characteristics, as it allows high performance, scalability, accuracy, and low computational load. From this method we try to recognize patterns in the data obtained from patients, which allow the classification of SLE patients with high accuracy and differentiate these patients from controls. Several machine learning methods have been analyzed in this study. The proposed method achieves a higher prediction value of patients who may suffer from SLE than the rest of the compared systems. The proposed algorithm achieved an improvement in accuracy of 4.49% over k-Nearest Neighbors. As for the Support Vector Machine and Gaussian Naive Bayes (GNB) methods, they achieved a lower performance than the proposed one, reaching values of 83% and 81%, respectively. It should be noted that the proposed system showed a higher area under the curve (90%) and a balanced accuracy (90%) than the other machine learning methods. This study shows the usefulness of ML techniques for identifying and predicting SLE patients. These results demonstrate the possibility of developing automatic diagnostic support systems for SLE patients based on machine learning techniques.

Time interval between the onset of connective tissue disease symptoms and first contact with a rheumatologist: results from the German National Database of collaborative arthritis centers

The long-term outcome of connective tissue diseases is associated with the time from symptom onset to diagnosis. To understand gaps in care, we determine whether the length of time between symptom onset and first presentation to a rheumatologist has changed in Germany in recent decades. We analyzed data on patients diagnosed with connective tissue diseases (n = 19,662) collected from the German National Database of the Regional Cooperative Rheumatology Centers. We reviewed the onset of relevant symptoms listed at first presentations from 1993 to 2018 and performed a quantitative analysis of the intervals until first presentation to a rheumatologist. We compared time intervals and performed a linear mixed regression model with random effects to identify associated factors. Although the interval between the onset of symptoms and first presentation to a rheumatologist has diminished since 1980 for all connective tissue diseases, there has been no relevant improvement during the past 2 decades. The interval between symptoms and presentation increases with patients age for all connective tissue diseases (e.g., Systemic sclerosis; for each 10-year-increment of patients age: β 0.41, CI 0.38; 0.44). Among those diagnosed with systemic sclerosis, the mean interval was 1.5 years (95% CI 1.1; 1.8) for male patients and 2.6 years (95% CI 2.4; 2.8) for females. Patients presenting with different degrees of disease severity on their first visits and with different educational levels had similar mean intervals between symptoms and first presentation regardless of their final diagnoses. Over the past 2 decades, the time to first consultation with a rheumatologist has not continued to improve in Germany, but has stagnated at the same level. Selected patient subgroups, such as older patients with suspected connective tissue diseases and female patients with suspected systemic sclerosis, are at risk to present late and may in particular benefit from an earlier referral to a rheumatologist.

Machine Learning Approach for Predicting Systemic Lupus Erythematosus in an Oman-Based Cohort

Objectives

This study aimed to design a machine learning-based prediction framework to predict the presence or absence of systemic lupus erythematosus (SLE) in a cohort of Omani patients.

Methods

Data of 219 patients from 2006 to 2019 were extracted from Sultan Qaboos University Hospital's electronic records. Among these, 138 patients had SLE, while the remaining 81 had other rheumatologic diseases. Clinical and demographic features were analysed to focus on the early stages of the disease. Recursive feature selection was implemented to choose the most informative features. The CatBoost classification algorithm was utilised to predict SLE, and the SHAP explainer algorithm was applied on top of the CatBoost model to provide individual prediction reasoning, which was then validated by rheumatologists.

Results

CatBoost achieved an area under the receiver operating characteristic curve score of 0.95 and a sensitivity of 92%. The SHAP algorithm identified four clinical features (alopecia, renal disorders, acute cutaneous lupus and haemolytic anaemia) and the patient's age as having the greatest contribution to the prediction.

Conclusion

An explainable framework to predict SLE in patients and provide reasoning for its prediction was designed and validated. This framework enables clinicians to implement early interventions that will lead to positive healthcare outcomes.

Clinical and Economic Burden of Systemic Lupus Erythematosus in the Years Preceding End-Stage Kidney Disease Diagnosis: A Retrospective Observational Study

INTRODUCTION

This study aimed to describe the clinical burden, healthcare resource utilisation (HCRU) and healthcare costs for patients with systemic lupus erythematosus (SLE) in the 12-60 months preceding an end-stage kidney disease (ESKD) diagnosis in the USA.

METHODS

This retrospective observational study identified adult patients with SLE with newly diagnosed ESKD between 1 March 2012 and 31 December 2018 using administrative claims data. Clinical characteristics, mean all-cause HCRU (i.e. any HCRU visit and pharmacy fill) and total all-cause healthcare costs (comprising medical and pharmacy costs in 2019 US dollars) were assessed during the 12 months pre-ESKD diagnosis and yearly during the 5 years pre-ESKD diagnosis among patients with ≥ 5 years of continuous health plan enrolment.

RESULTS

Of the 1356 patients included, 51.2% had severe SLE, 71.2% had lupus nephritis (LN) and 20.6% underwent kidney biopsy during the 12 months pre-ESKD. The mean (standard deviation [SD]) number of HCRU visits during the 12 months pre-ESKD was 78.0 (64.1) per patient. The mean (SD) total healthcare costs per patient in the 12 months pre-ESKD diagnosis was $64,887 (106,822), driven by medical costs $51,764 (96,458). The proportions of patients with severe SLE, LN and those undergoing biopsy increased from year 5 to year 1 pre-ESKD diagnosis. The mean (SD) number of HCRU visits increased from year 5 (61.6 [54.0]) to year 1 (83.2 [62.1]) pre-ESKD. Mean (SD) total healthcare costs rose year on year from year 5 ($34,890 [74,346]) to year 1 ($73,236 [114,584]) pre-ESKD.

CONCLUSION

There were substantial clinical burden and healthcare costs among patients with SLE in the 12 months pre-ESKD diagnosis. The clinical burden and healthcare costs generally increased with each year approaching ESKD diagnosis. Early interventions for patients with SLE could prevent the development of ESKD, mitigating the burden of the disease.

Using Patient-Reported Health Data From Social Media to Identify Diverse Lupus Patients and Assess Their Symptom and Medication Expressions: A Feasibility Study

OBJECTIVE

Patient communities use social media for peer support and information seeking. This study assessed the feasibility of using public patient-generated health data from the social network Twitter to identify diverse lupus patients and gather their perspectives about disease symptoms and medications.

METHODS

We extracted public lupus-related Twitter messages (n = 47,715 tweets) in English posted by users (n = 8,446) in the US between September 1, 2017 and October 31, 2018. We analyzed the data to describe lupus patients and the expressed themes (symptoms and medications). Two independent coders analyzed the data; Cohen's kappa coefficient was used to ensure interrater reliability. Differences in symptom and medication expressions were analyzed using 2-tailed Z tests and a combination of 1-way analysis of variance tests and unpaired t-tests.

RESULTS

We found that lupus patients on Twitter are diverse in gender and race: approximately one-third (34.64%, 62 of 179) were persons of color (POCs), and 85.47% were female. The expressed disease symptoms and medications varied significantly by gender and race. Most of our findings correlated with documented clinical observations, e.g., expressions of general pain (8.39%, 709 of 8,446), flares (6.05%, 511 of 8,446), and fatigue (4.18%, 353 of 8,446). However, our data also revealed less well-known patient observations, e.g., possible racial disparities within ocular manifestations of lupus.

CONCLUSION

Our results indicate that social media surveillance can provide valuable data of clinical relevance from the perspective of lupus patients. The medical community has the opportunity to harness this information to inform the patient-centered care within underrepresented patient groups, such as POCs.

Risk prediction models for incident systemic lupus erythematosus among women in the Nurses' health study cohorts using genetics, family history, and lifestyle and environmental factors

OBJECTIVE

Systemic lupus erythematosus (SLE) is a severe multisystem autoimmune disease that predominantly affects women. Its etiology is complex and multifactorial, with several known genetic and environmental risk factors, but accurate risk prediction models are still lacking. We developed SLE risk prediction models, incorporating known genetic, lifestyle and environmental risk factors, and family history.

METHODS

We performed a nested case-control study within the Nurses' Health Study cohorts (NHS). NHS began in 1976 and enrolled 121,700 registered female nurses ages 30-55 from 11 U.S. states; NHSII began in 1989 and enrolled 116,430 registered female nurses ages 25-42 from 14 U.S. states. Participants were asked about lifestyle, reproductive and environmental exposures, as well as medical information, on biennial questionnaires. Incident SLE cases were self-reported and validated by medical record review (Updated 1997 American College of Rheumatology classification criteria). Those with banked blood samples for genotyping (∼25% of each cohort), were selected and matched by age (± 4 years) and race/ethnicity to women who had donated a blood sample but did not develop SLE. Lifestyle and reproductive variables, including smoking, alcohol use, body mass index, sleep, socioeconomic status, U.S. region, menarche age, oral contraceptive use, menopausal status/postmenopausal hormone use, and family history of SLE or rheumatoid arthritis (RA) were assessed through the questionnaire prior to SLE diagnosis questionnaire cycle (or matched index date). Genome-wide genotyping results were used to calculate a SLE weighted genetic risk score (wGRS) using 86 published single nucleotide polymorphisms (SNPs) and 10 classical HLA alleles associated with SLE. We compared four sequential multivariable logistic regression models of SLE risk prediction, each calculating the area under the receiver operating characteristic curve (AUC): 1) SLE wGRS, 2) SLE/RA family history, 3) lifestyle, environmental and reproductive factors and 4) combining model 1-3 factors. Models were internally validated using a bootstrapped estimate of optimism of the AUC. We also examined similar sequential models to predict anti-dsDNA positive SLE risk.

RESULTS

We identified and matched 138 women who developed incident SLE to 1136 women who did not. Models 1-4 yielded AUCs 0.63 (95%CI 0.58-0.68), 0.64 (95%CI 0.59-0.68), 0.71(95% CI 0.66-0.75), and 0.76 (95% CI 0.72-0.81). Model 4 based on genetics, family history and eight lifestyle and environmental factors had best discrimination, with an optimism-corrected AUC 0.75. AUCs for similar models predicting anti-dsDNA positive SLE risk, were 0.60, 0.63, 0.81 and 0.82, with optimism corrected AUC of 0.79 for model 4.

CONCLUSION

A final model including SLE weighted genetic risk score, family history and eight lifestyle and environmental SLE risk factors accurately classified future SLE risk with optimism corrected AUC of 0.75. To our knowledge, this is the first SLE prediction model based on known risk factors. It might be feasibly employed in at-risk populations as genetic data are increasingly available and the risk factors easily assessed. The NHS cohorts include few non-White women and mean age at incident SLE was early 50s, calling for further research in younger and more diverse cohorts.

Unusual Presentations of Systemic Lupus Erythematosus: A Narrative Review

Systemic lupus erythematosus (SLE) is a chronic systemic autoimmune disease characterized by an almost 10:1 female predominance, the presence of deleterious nuclear autoantibodies, a tendency for flare, and striking protean manifestations. Early diagnosis is associated with less damage accrual, lower costs, and improved quality of life due to timely treatment. However, early disease may not uncommonly show nonspecific presentation, a single classification criterion, or an unusual organ involvement contributing to frequent, often substantial diagnostic delays. We reviewed the literature (1982-2022) to accumulate and classify all reports of rare, atypical, and unusual presentations. These can involve almost every organ and system, and thus, present to physicians in every discipline and setting. Increasing physicians' awareness of the potential of occult SLE to appear in varied, diverse, and unexpected presentations, may encourage the inclusion of SLE in the differential. Informed history and examination focusing on systemic and joint symptoms and mucocutaneous involvement, and basic tests (focusing on leukopenia, thrombocytopenia, and proteinuria; followed by antinuclear antibodies and complement levels) will correctly diagnose most patients on presentation or within the following months and enable timely treatment.

Primary Healthcare Practitioners' Knowledge, Attitude, and Practice Toward Systemic Lupus Erythematosus in the Qassim Region, Saudi Arabia

Objective The study aims to evaluate the primary healthcare practitioner's (PHCP) knowledge, attitude, and practice toward systemic lupus erythematosus (SLE) and to explore the difficulties of early referral to specialized clinics. Method This is a cross-sectional study conducted between February and March 2022 targeting the PHCP among the primary healthcare centers in Qassim, Saudi Arabia. The study was conducted among 203 participants who enrolled via a cluster random sampling technique depending on the survey. Qualitative categorical variables are expressed as frequencies and percentages, while continuous variables are reported as means and standard deviations (SD). The one-way analysis of variance (ANOVA) test and the independent T-test have been used to explore the relationship between participants' knowledge scores and their socio-demographic characteristics. A P-value ≤0.05 was considered statistically significant. Result The study found that only 4.4% of participating PHCPs had good knowledge related to SLE, while 45.8% of them had fair knowledge, and nearly half of them (49.8%) had poor knowledge. It was noted that GPs who specialized in family medicine or saw more than 40 patients each week had comparably better knowledge than others, which was statistically significant (p<0.05). The difficulty in diagnosing SLE patients was mentioned by 48.3% of the PHCPs. Family medicine consultants (p<0.001), those who worked in a tertiary care facility for more than six months (p<0.001) and those who worked in a rheumatology department (p<0.05), reported considerably better levels of comfort when treating SLE patients. Conclusion This study found that included participants' understanding of SLE, its diagnosis, and management was inadequate. Coordination between rheumatologists and experts from many disciplines at the primary, secondary, and tertiary levels of care is critical for overcoming ambiguities and obstacles in the diagnosis and therapy of SLE patients.

Patterns of Outpatient Phecodes Predating the Diagnosis of Systemic Lupus Erythematosus in Taiwanese Women

Shortening the time to diagnosis and initiating early treatment are imperative to improve outcomes in patients with systemic lupus erythematosus (SLE). The aim of this case-control study, based on the data from the Taiwan’s National Health Insurance Research Database (NHIRD), was to investigate the patterns of diagnoses of disease phenotypes in female patients with SLE up to eight years prior to its definitive diagnosis. The 547 cases were selected from the 2000–2012 NHIRD catastrophic illness datafile and frequency-matched with 2188 controls. The primary diagnosis based on the first ICD-9-CM code for each outpatient visit was converted to Phecodes. Separate regression models, based on least absolute shrinkage and selection operator (lasso) regularization, with seven different lag periods from 1–2 to 7–8 years, were conducted. Results showed that SLE was associated with 46 disease phenotypes in a lag period of 2–3 years, but fewer in other lag periods. A number of SLE-associated disease phenotypes, such as primary thrombocytopenia, thyroid diseases, Raynaud’s syndrome, renal disease, and several infectious diseases, occurred mainly in the first few years prior to SLE diagnosis. In conclusion, SLE should be suspected when the disease phenotypes identified in the present study occurred concomitantly.

From Symptoms to Diagnosis: An Observational Study of the Journey of SLE Patients in Saudi Arabia

Background and Objectives

Early diagnosis and treatment is associated with improved outcomes in patients with systemic lupus erythematosus (SLE). Studying the journey of SLE patients in Saudi Arabia is essential to direct future health-care plans.

Patients and Methods

This is a cross-sectional, multicenter study. Eligibility criteria included a diagnosis of SLE that was confirmed by a rheumatologist. Patients younger than 18 at the time of interview were excluded. Primary objectives were to determine time from first symptoms to initial physician visit (Lag 1), time from initial physician visit to encounter with rheumatologist (Lag 2), time from first visit to a rheumatologist to diagnosis of SLE (Lag 3), and time from diagnosis to start of treatment (Lag 4). Secondary objectives were to determine the number and specialty of physicians seen by patients, the speciality type that confirmed the diagnosis, first symptoms experienced, and age at first diagnosis of SLE.

Results

Three hundred patients (92.3% women) with SLE were evaluated. Mean age at diagnosis was 29.92 years. Mean disease duration was 8.1 years. The majority were college educated (43.0%). The most common initial symptom was joint pain (68%), followed by skin rash (23%), and fever (3.7%). Lag 1 was less than one month in 68.2% of patients. Lag 2 was less than one month in 33.4% of patients and exceeded one year in 25.8%. Lag 3 was less than 1 month in 68.7% of patients. Lag 4 was less than one month in 94.4% of patients. The diagnosis of SLE was made most frequently by rheumatologists (80%). Evaluation by primary care, orthopedic and dermatology physicians were associated with delays in diagnosis.

Conclusion

Delay was marked in Lag 2. Causes of delay included evaluation by non-specialists and visiting higher numbers of physicians before diagnosis confirmation.

Improving patient pathways for systemic lupus erythematosus: a multistakeholder pathway optimisation study

Objective

Among the most significant challenges in SLE are the excessive diagnosis delay and the lack of coordinated care. The aim of the study was to investigate patient pathways in SLE in order to improve clinical and organisational challenges in the management of those with suspected and confirmed SLE.

Methods

We conducted a cross-sectional study of patients with SLE, healthcare providers and other representative stakeholders. Focus groups were conducted, and based on the collected data the most impactful disruption points in SLE patient pathways were identified. A novel framework to improve individual patient pathways in SLE was developed, discussed and validated during a consensus meeting with representative stakeholders.

Results

Six thematic clusters regarding disruption in optimal patient pathways in SLE were identified: appropriate and timely referral strategy for SLE diagnosis; the need for a dedicated consultation during which the diagnosis of SLE would be announced, and following which clarifications and psychological support offered; individualised patient pathways with coordinated care based on organ involvement, disease severity and patient preference; improved therapeutic patient education; prevention of complications such as infections, osteoporosis and cancer; and additional patient support. During the consensus meeting, the broader panel of stakeholders achieved consensus on these attributes and a framework for optimising SLE patient pathways was developed.

Conclusions

We have identified significant disruption points and developed a novel conceptual framework to improve individual patient pathways in SLE. These data may be of valuable interest to patients with SLE, their physicians, health organisations as well as policy makers.

Health care utilization and costs of systemic lupus erythematosus in the United States: A systematic review

OBJECTIVES

To evaluate health care utilization and costs for patients with systemic lupus erythematosus (SLE) by disease severity.

METHODS

We searched PubMed and Embase from January 2000 to June 2020 for observational studies examining health care utilization and costs associated with SLE among adults in the United States. Two independent reviewers reviewed the selected full-text articles to determine the final set of included studies. Costs were converted to 2020 US $.

RESULTS

We screened 9224 articles, of which 51 were included. Mean emergency department visits were 0.3-3.5 per year, and mean hospitalizations were 0.1-2.4 per year (mean length of stay 0.4-13.0 days). Patients averaged 10-26 physician visits/year. Mean annual direct total costs were $17,258-$63,022 per patient and were greater for patients with moderate or severe disease ($19,099-$82,391) compared with mild disease ($12,242-$29,233). Mean annual direct costs were larger from commercial claims ($24,585-$63,022) than public payers (Medicare and Medicaid: $18,302-$27,142).

CONCLUSIONS

SLE remains a significant driver of health care utilization and costs. Patients with moderate to severe SLE use more health care services and incur greater direct and indirect costs than those with mild disease.

Multicenter lupus register from Argentina, the RELESSAR database: Influence of ethnicity on disease phenotype

OBJECTIVE

The objective is to describe the main characteristics of patients with systemic lupus erythematosus (SLE) in Argentina and to examine the influence of ethnicity on the expression of the disease.

PATIENTS AND METHODS

RELESSAR is a multicentre register carried out by 106 researchers from 67 rheumatologic Argentine centres. It is a cross-sectional study of SLE (1982/1997 ACR) patients. RELESSAR electronic database includes demographic, cumulative SLE manifestations, SELENA-SLEDAI, SLICC-SDI, Katz's severity and Charlson's comorbidity indexes and treatment patterns.

RESULTS

We included 1,610 patients, 91.7% were female with a median age at diagnosis of 28.1 ± 12.8; 96.2% met ≥4 ACR 1982/97 criteria. Frequent manifestations were arthritis (83.5%), malar rash (79.5%), photosensitivity (75.3%), haematological (63.8%) and renal disease (47.4%), antinuclear antibodies (96%), anti-dsDNA (66.5%) and anti-Smith antibodies (29%). The mean Selena-SLEDAI score at last visit was 3.18 (SD 4.3) and mean SDI was 1 (SD 1.3). The accumulated treatments most frequently used were antimalarials (90.4%), corticosteroids (90%), azathioprine (31.8%), intravenous cyclophosphamide (30.2%), mycophenolate mofetil or mycophenolic acid (24.5%), methotrexate (19.3%), belimumab 5.3% and rituximab 5.1%. Refractory lupus was diagnosed in 9.3% of the cases. The main causes of death were lupus activity (25.0%), activity and concomitant infections (25.0%), infections (18.2%), vascular disease (13.6%) and cancer (4.5%). Mortality was associated with higher SLEDAI, Katz, damage indexes and comorbidities. Of the 1610 patients included, 44.6% were Caucasian, 44.5% Mestizo, 8.1% Amerindian and 1.2% Afro-Latin American. Mestizo patients had higher male representation, low socioeconomic status, more inadequate medical coverage, fewer formal years of education and shorter disease duration. Polyadenopathies and Raynaud's phenomenon were more frequent in Caucasians. In the logistic regression analysis higher damage index (OR 1.28, CI 95% 1.02-1.61, p = 0.03) remained associated to mestizo ethnicity.

CONCLUSIONS

This study represents the largest number of adult patients with SLE studied in Argentina. Caucasian patients were differentiated by having Raynaud's phenomenon and polyadenopathy more frequently, while patients of Mestizo origin had higher damage indexes.

Explore comorbidities associated with systemic lupus erythematosus: a total population-based case-control study

BACKGROUND

Because of the increasing incidence and overall burden of systemic lupus erythematosus (SLE), efforts have been made to identify the factors that contribute to SLE onset and progression.

AIM

We conducted a total population-based case-control study to explore the prior comorbidities associated with SLE.

DESIGN AND METHODS

Data were collected from Taiwan's National Health Insurance Research Database. Newly diagnosed SLE patients from 1 January 2010, to 31 December 2013 (n = 2847), were exactly matched at a 1:4 ratio for gender, age, residence and insurance premium to form a non-SLE group. Multivariate conditional logistic regression with stepwise selection was used to find the prior-associated comorbidities.

RESULTS

A total of 38 prior comorbidities were associated with SLE incidence (32 positive and 6 negative associations). Positively associated comorbidities could be categorized as autoimmune-related inflammation of multiple organs including skin, blood, liver, tooth, thyroid, musculoskeletal and connective tissue. Among them, diffuse diseases of connective tissue (International Classification of Disease, Ninth Revision, Clinical Modification 710) exhibited the most robust association (OR = 5.68, 95% CI = 4.02-8.03, P < 0.001) in the 5 years before the index date. Negatively associated comorbidities could be attributed to diabetes mellitus and pregnancy related symptoms.

CONCLUSIONS

Our results supported that increased awareness of SLE may be warranted for patients with autoimmune-related comorbidities of multiple organs. However, diabetes mellitus and pregnancy related symptoms were negatively associated with SLE incidence in this study. Further studies are warranted to elucidate the possible underlying mechanism and for better understanding the pathogenesis of SLE.

Performance of the systemic lupus erythematosus risk probability index in a cohort of undifferentiated connective tissue disease

OBJECTIVES

We sought to evaluate the performance of the systemic lupus erythematosus (SLE) Risk Probability Index (SLERPI) for identification of SLE in a large cohort of patients with undifferentiated connective tissue disease (UCTD).

METHODS

The SLERPI was applied in a cohort of patients who met classification criteria for UCTD and did not fulfill any classification criteria for other defined CTD including SLE. Patients with a SLERPI score of > 7 were "diagnosed" as SLE. Patients diagnosed with SLE and those not, were compared in terms of disease characteristics and index parameters.

RESULTS

A total of 422 patients with UCTD were included in the study. Median (IQR) SLERPI was 4.25 (2.5) points, while 39 (9.2%) patients had a SLERPI score >7 and were diagnosed as SLE. Patients with younger age (p = 0.026) and presence of malar rash (p < 0.0001), mucosal ulcer (p < 0.0001), alopecia (p < 0.0001), ANA positivity (p < 0.0001), low C3 and C4 (p = 0.002), proteinuria>500 mg/24 hours (p = 0.001), thrombocytopenia (p = 0.009) or autoimmune haemolytic anaemia (p < 0.0001) were more likely to fulfill criteria for SLE by the SLERPI.

CONCLUSION

SLERPI enabled a significant proportion of patients to be identified as SLE in our UCTD cohort. This new probability index may be useful for early identification of SLE among patients with signs of CTD without fulfilling any definite criteria set.

Differentiating between UCTD and early-stage SLE: from definitions to clinical approach

Systemic lupus erythematosus (SLE) is an autoimmune disease with heterogeneous clinical manifestations that can potentially affect every organ and system. SLE is usually identified on the basis of clinical or serological manifestations; however, some individuals can present with signs and symptoms that are consistent with SLE but are not sufficient for a definite diagnosis. Disease in these individuals can either progress over time to definite SLE or remain stable, in which case their disease is often described as intermediate, possible or probable SLE. Alternatively, such individuals might have undifferentiated connective tissue disease (UCTD). Being able to differentiate between those with stable UCTD and those with SLE at an early stage is important to avoid irreversible target-organ damage from occurring. This Review provides insight into existing and evolving perceptions of the early stages of SLE, including clinical and mechanistic considerations, as well as potential paths towards early identification and intervention. Further research into the earliest phases of SLE will be important for the development of targeted diagnostic approaches and biomarkers for the identification of individuals with early disease who are likely to progress to definite SLE.

Epione application: An integrated web‑toolkit of clinical genomics and personalized medicine in systemic lupus erythematosus

Genome wide association studies (GWAS) have identified autoimmune disease-associated loci, a number of which are involved in numerous disease-associated pathways. However, much of the underlying genetic and pathophysiological mechanisms remain to be elucidated. Systemic lupus erythematosus (SLE) is a chronic, highly heterogeneous auto-immune disease, characterized by differences in autoantibody profile, serum cytokines and a multi-system involvement. This study presents the Epione application, an integrated bioinformatics web-toolkit, designed to assist medical experts and researchers in more accurately diagnosing SLE. The application aims to identify the most credible gene variants and single nucleotide polymorphisms (SNPs) associated with SLE susceptibility, by using patient's genomic data to aid the medical expert in SLE diagnosis. The application contains useful knowledge of >70,000 SLE-related publications that have been analyzed, using data mining and semantic techniques, towards extracting the SLE-related genes and the corresponding SNPs. Probable genes associated with the patient's genomic profile are visualized with several graphs, including chromosome ideograms, statistic bars and regulatory networks through data mining studies with relative publications, to obtain a representative number of the most credible candidate genes and biological pathways associated with the SLE. Furthermore, an evaluation study was performed on a patient diagnosed with SLE and is presented herein. Epione has also been expanded in family-related candidate patients to evaluate its predictive power. All the recognized gene variants that were previously considered to be associated with SLE were accurately identified in the output profile of the patient, and by comparing the results, novel findings have emerged. The Epione application may assist and facilitate in early stage diagnosis by using the patients' genomic profile to compare against the list of the most predictable candidate gene variants related to SLE. Its diagnosis-oriented output presents the user with a structured set of results on variant association, position in genome and links to specific bibliography and gene network associations. The overall aim of the present study was to provide a reliable tool for the most effective study of SLE. This novel and accessible webserver tool of SLE is available at http://geneticslab.aua.gr/epione/.

Frequency, severity and costs of flares increase with disease severity in newly diagnosed systemic lupus erythematosus: a real-world cohort study, United States, 2004-2015

Objective

To evaluate frequency, severity and costs of flares in US patients with newly diagnosed SLE.

Methods

Adults diagnosed with SLE between January 2005 and December 2014 were identified from US commercial claims data linked to electronic medical records. Disease and flare severity during 1 year after diagnosis were classified as mild, moderate or severe using a claims-based algorithm. Study outcomes included frequency and severity of flares stratified by disease severity during the 1-year post-diagnosis period and all-cause healthcare costs of flares by severity at 30, 60 and 90 days after flare.

Results

Among 2227 patients, 26.3%, 51.0% and 22.7% had mild, moderate and severe SLE, respectively. The overall annual flare rate was 3.5 and increased with disease severity: 2.2, 3.7 and 4.2, respectively, for mild, moderate and severe SLE (p<0.0001). Patients with severe SLE had a higher annual severe flare rate (0.6) compared with moderate (0.1) or mild SLE (0; p<0.0001). Mean total all-cause costs at 30, 60 and 90 days after flare were $16 856, $22 252 and $27 468, respectively, for severe flares (mild flares: $1672, $2639 and $3312; moderate flares: $3831, $6225, $8582; (p<0.0001, all time points)). Inpatient costs were the primary driver of the increased cost of severe flares.

Conclusions

Flare frequency and severity in newly diagnosed patients with SLE increase with disease severity. After a flare, healthcare costs increase over the following 90 days by disease severity. Preventing flares or reducing flare rates and duration may improve outcomes and reduce healthcare costs.

Disease and economic burden increase with systemic lupus erythematosus severity 1 year before and after diagnosis: a real-world cohort study, United States, 2004-2015

OBJECTIVE

To assess the economic burden of patients with SLE by disease severity in the USA 1 year before and after diagnosis.

METHODS

Patients aged ≥18 years with a first SLE diagnosis (index date) between January 2005 and December 2014 were identified from administrative commercial claims data linked to electronic medical records (EMRs). Disease severity during the year after diagnosis was classified as mild, moderate, or severe using claims-based algorithms and EMR data. Healthcare resource utilisation (HCRU) and all-cause healthcare costs (2017 US$) were reported for 1 year pre-diagnosis and post-diagnosis. Generalised linear modelling examined all-cause costs over 1 year post-index, adjusting for baseline demographics, clinical characteristics, Charlson Comorbidity Index and 1 year pre-diagnosis costs.

RESULTS

Among 2227 patients, 26.3% had mild, 51.0% moderate and 22.7% severe SLE. Mean per-patient costs were higher for patients with moderate and severe SLE compared with mild SLE during the year before diagnosis: mild US$12 373, moderate $22 559 and severe US$39 261 (p<0.0001); and 1-year post-diagnosis period: mild US$13 415, moderate US$29 512 and severe US$68 260 (p<0.0001). Leading mean cost drivers were outpatient visits (US$13 566) and hospitalisations (US$10 252). Post-diagnosis inpatient utilisation (≥1 stay) was higher for patients with severe (51.2%) and moderate (22.4%) SLE, compared with mild SLE (12.8%), with longer mean hospital stays: mild 0.47 days, moderate 1.31 days and severe 5.52 days (p<0.0001).

CONCLUSION

HCRU and costs increase with disease severity in the year before and after diagnosis; leading cost drivers post-diagnosis were outpatient visits and hospitalisations. Earlier diagnosis and treatment may improve health outcomes and reduce HCRU and costs.

A multianalyte assay panel with cell-bound complement activation products demonstrates clinical utility in systemic lupus erythematosus

Objective

To evaluate the clinical utility of the multianalyte assay panel (MAP), commercially known as AVISE Lupus test (Exagen Inc.), in patients suspected of SLE.

Methods

A systematic review of medical records of ANA-positive patients with a positive (>0.1) or negative (<−0.1) MAP score was conducted when the MAP was ordered (T0), when the test results were reviewed (T1) and at a later time (T2, ≥8 months after T1). Confidence in the diagnosis of SLE and initiation of hydroxychloroquine (HCQ) were assessed.

Results

A total of 161 patient records from 12 centres were reviewed at T0 and T1. T2 occurred for 90 patients. At T0, low, moderate and high confidence in SLE diagnosis was reported for 58%, 30% and 12% patients, respectively. Confidence in SLE diagnosis increased for the MAP positive, while MAP negative made SLE less likely. Odds of higher confidence in SLE diagnosis increased by 1.74-fold for every unit of increase of the MAP score (p<0.001). Using the MAP-negative/anti-double-stranded DNA-negative patients as reference, the HR of assigning an International Classification of Diseases, Tenth Revision lupus code was 7.02-fold, 11.2-fold and 14.8-fold higher in the low tier-2, high tier-2 and tier-1 positive, respectively (p<0.001). The HR of initiating HCQ therapy after T0 was 2.90-fold, 4.22-fold and 3.98-fold higher, respectively (p<0.001).

Conclusion

The MAP helps increase the confidence in ruling-in and ruling-out SLE in patients suspected of the disease and informs on appropriate treatment decisions.

Lupus or not? SLE Risk Probability Index (SLERPI): a simple, clinician-friendly machine learning-based model to assist the diagnosis of systemic lupus erythematosus

Objectives

Diagnostic reasoning in systemic lupus erythematosus (SLE) is a complex process reflecting the probability of disease at a given timepoint against competing diagnoses. We applied machine learning in well-characterised patient data sets to develop an algorithm that can aid SLE diagnosis.

Methods

From a discovery cohort of randomly selected 802 adults with SLE or control rheumatologic diseases, clinically selected panels of deconvoluted classification criteria and non-criteria features were analysed. Feature selection and model construction were done with Random Forests and Least Absolute Shrinkage and Selection Operator-logistic regression (LASSO-LR). The best model in 10-fold cross-validation was tested in a validation cohort (512 SLE, 143 disease controls).

Results

A novel LASSO-LR model had the best performance and included 14 variably weighed features with thrombocytopenia/haemolytic anaemia, malar/maculopapular rash, proteinuria, low C3 and C4, antinuclear antibodies (ANA) and immunologic disorder being the strongest SLE predictors. Our model produced SLE risk probabilities (depending on the combination of features) correlating positively with disease severity and organ damage, and allowing the unbiased classification of a validation cohort into diagnostic certainty levels (unlikely, possible, likely, definitive SLE) based on the likelihood of SLE against other diagnoses. Operating the model as binary (lupus/not-lupus), we noted excellent accuracy (94.8%) for identifying SLE, and high sensitivity for early disease (93.8%), nephritis (97.9%), neuropsychiatric (91.8%) and severe lupus requiring immunosuppressives/biologics (96.4%). This was converted into a scoring system, whereby a score >7 has 94.2% accuracy.

Conclusions

We have developed and validated an accurate, clinician-friendly algorithm based on classical disease features for early SLE diagnosis and treatment to improve patient outcomes.

Urine β-2-glycoprotein 1 as a biomarker for diagnosis of systemic lupus erythematosus

OBJECTIVE

The need for a biomarker with robust sensitivity and specificity in diagnosing systemic lupus erythematosus (SLE) remains unmet. Compared with blood samples, urine samples are more easily collected; thus, we aimed to identify such a biomarker based on urinary proteomics which could distinguish patients with SLE from healthy controls (HCs).

METHODS

Urine samples were collected from 76 SLE patients who visited rheumatology clinic in 2019 at Asan medical center and from 25 HCs. Urine proteins were analyzed using sequential windowed acquisition of all theoretical fragment ion spectra-mass spectrometry, and the candidate marker was confirmed by enzyme-linked immunosorbent assay (ELISA). Receiver operating characteristic curve analysis was used to determine the diagnostic value of the candidate biomarker.

RESULTS

Of 1157 proteins quantified, 153 were differentially expressed in urine samples from HCs. Among them were previously known markers including α-1-acid glycoprotein 1, α-2-HS-glycoprotein, ceruloplasmin, and prostaglandin-H2 D-isomerase. Moreover, the amount of β-2 glycoprotein (APOH) was increased in the urine of patients with SLE. The ELISA results also showed the level of urine APOH was higher in patients with SLE than in HCs and patients with rheumatoid arthritis. Moreover, the level was not different between SLE patients with and without nephritis. The urine APOH had an area under the curve value of 0.946 at a cut-off value of 228.53 ng/mg (sensitivity 91.5%, specificity 92.0%) for the diagnosis of SLE.

CONCLUSION

The results indicate that the urine APOH level can be an appropriate screening tool in a clinical setting when SLE is suspected.

Lupus or not? SLE Risk Probability Index (SLERPI): a simple, clinician-friendly machine learning-based model to assist the diagnosis of systemic lupus erythematosus

OBJECTIVES

Diagnostic reasoning in systemic lupus erythematosus (SLE) is a complex process reflecting the probability of disease at a given timepoint against competing diagnoses. We applied machine learning in well-characterised patient data sets to develop an algorithm that can aid SLE diagnosis.

METHODS

From a discovery cohort of randomly selected 802 adults with SLE or control rheumatologic diseases, clinically selected panels of deconvoluted classification criteria and non-criteria features were analysed. Feature selection and model construction were done with Random Forests and Least Absolute Shrinkage and Selection Operator-logistic regression (LASSO-LR). The best model in 10-fold cross-validation was tested in a validation cohort (512 SLE, 143 disease controls).

RESULTS

A novel LASSO-LR model had the best performance and included 14 variably weighed features with thrombocytopenia/haemolytic anaemia, malar/maculopapular rash, proteinuria, low C3 and C4, antinuclear antibodies (ANA) and immunologic disorder being the strongest SLE predictors. Our model produced SLE risk probabilities (depending on the combination of features) correlating positively with disease severity and organ damage, and allowing the unbiased classification of a validation cohort into diagnostic certainty levels (unlikely, possible, likely, definitive SLE) based on the likelihood of SLE against other diagnoses. Operating the model as binary (lupus/not-lupus), we noted excellent accuracy (94.8%) for identifying SLE, and high sensitivity for early disease (93.8%), nephritis (97.9%), neuropsychiatric (91.8%) and severe lupus requiring immunosuppressives/biologics (96.4%). This was converted into a scoring system, whereby a score >7 has 94.2% accuracy.

CONCLUSIONS

We have developed and validated an accurate, clinician-friendly algorithm based on classical disease features for early SLE diagnosis and treatment to improve patient outcomes.

Risk factors of damage in early diagnosed systemic lupus erythematosus: results of the Italian multicentre Early Lupus Project inception cohort

OBJECTIVE

To investigate risk factors for damage development in a prospective inception cohort of early diagnosed SLE patients.

METHODS

The Early Lupus Project recruited an inception cohort of patients within 12 months of SLE classification (1997 ACR criteria). At enrolment and every 6 months thereafter, the SLICC/ACR Damage Index was recorded. The contribution of baseline and time-varying covariates to the development of damage, defined as any SLICC/ACR Damage Index increase from 0 to ≥1, was assessed using univariate analysis. Forward-backward Cox regression models were fitted with covariates with P < 0.05 to identify factors independently associated with the risk of damage development.

RESULTS

Overall, 230 patients with a mean (s.d.) age of 36.5 (14.4) years were eligible for this study; the mean number of visits per patient was 5.3 (2.7). There were 51 (22.2%) patients with SLICC/ACR Damage Index ≥1 after 12 months, 59 (25.6%) after 24 months and 67 (29.1%) after 36 months. Dyslipidaemia [P = 0.001; hazard ratio (HR) 2.9; 95% CI 1.5, 5.6], older age (P = 0.001; HR 3.0; 95% CI 1.6, 5.5), number of organs/systems involved (P = 0.002; HR 1.4; 95% CI 1.1, 1.8) and cardiorespiratory involvement (P = 0.041; HR 1.9; 95% CI 1.0, 3.7) were independently associated with an increased risk of developing damage. Risk profiles for damage development differed for glucocorticoid-related and -unrelated damage. HCQ use (P = 0.005; HR 0.4; 95% CI 0.2, 0.8) reduced the risk of glucocorticoid-unrelated damage.

CONCLUSION

We identified risk factors of damage development, but little effect of glucocorticoids, in this early SLE cohort. Addressing modifiable risk factors from the time of SLE diagnosis might improve patient outcomes.

The Main Challenges in Systemic Lupus Erythematosus: Where Do We Stand?

Systemic lupus erythematosus (SLE) is an immune-mediated multi-systemic disease characterized by a wide variability of clinical manifestations and a course frequently subject to unpredictable flares. Despite significant advances in the understanding of the pathophysiology and optimization of medical care, patients with SLE still have significant mortality and carry a risk of progressive organ damage accrual and reduced health-related quality of life. New tools allow earlier classification of SLE, whereas tailored early intervention and treatment strategies targeted to clinical remission or low disease activity could offer the opportunity to reduce damage, thus improving long-term outcomes. Nevertheless, the early diagnosis of SLE is still an unmet need for many patients. Further disentangling the SLE susceptibility and complex pathogenesis will allow to identify more accurate biomarkers and implement new ways to measure disease activity. This could represent a major step forward to find new trials modalities for developing new drugs, optimizing the use of currently available therapeutics and minimizing glucocorticoids. Preventing and treating comorbidities in SLE, improving the management of hard-to-treat manifestations including management of SLE during pregnancy are among the remaining major unmet needs. This review provides insights and a research agenda for the main challenges in SLE.

Delayed diagnosis adversely affects outcome in systemic lupus erythematosus: Cross sectional analysis of the LuLa cohort

Objective

Despite increased physician’s awareness and improved diagnostic and serological testing in the recent years, the interval between the initial symptoms and the diagnosis of Systemic lupus erythematosus (SLE) is still very long. Our aim was to study this delay and its association to the outcome of the disease.

Methods

Information on demographics, onset of first symptoms, first physicians visit and time of diagnosis was assessed by self-reported questionnaires among SLE patients in Germany (LuLa cohort, n = 585) in the year 2012. Disease activity (Systemic Lupus Activity Questionnaire; SLAQ), disease related damage (Brief Index of Lupus Damage; BILD), health related quality of life (Short Form 12) and fatigue (FSS) were chosen as proxies for outcome. Linear regression analysis was used to analyze the association of the delay in diagnosis to the outcome, adjusted for age, disease duration and sex.

Results

Mean duration between the onset of symptoms and the diagnosis of SLE was 47 months (SD 73). The longer the time to diagnosis, the higher the disease activity (β = 0.199, p < 0.0001), the disease-related damage (β = 0.137, p = 0.002) and fatigue (β 0.145, p = 0.003) and the lower the health-related quality of life (physical β = −0.136, p = 0.004, mental β = −0.143, p = 0.004).

Conclusion

In systemic lupus erythematosus, longer time to diagnosis was associated with worse outcome. Concepts in care with the intention to shorten the time to diagnosis are needed to improve the long-term outcome of the disease.

Treatment Delays Associated With Prior Authorization for Infusible Medications: A Cohort Study

OBJECTIVE

Prior authorizations (PAs) are commonly used by health payers as cost-containment strategies for expensive medications, including infused biologics. There is scarce data about the effect of PA requirements on patient-oriented outcomes.

METHODS

We included patients for whom an infusible medication was prescribed for a rheumatologic condition. The exposures of interest were a PA requirement and whether or not the PA was denied. The primary outcome was the difference in days from medication request to infusion. Secondary outcomes included the proportion of denied PAs and differences in glucocorticoid exposure following a PA request.

RESULTS

Of the 225 patients, the infusible medications of 160 (71%) required a PA. PAs were associated with a greater number of days to infusion compared to cases in which no authorization was required (median 31 days [interquartile range (IQR) 15-60 days] versus median 27 days [IQR 13-41 days]; P = 0.045), especially among the 33 patients (21%) whose PA was denied initially (median 50 days [IQR 31-76 days] versus median 27 days [IQR 13-41 days]; P < 0.001). PA denials were associated with greater prednisone-equivalent glucocorticoid exposure in the 3 months following the request than when a PA was not required (median 605 mg [IQR 0-1,575] versus median 160 mg [IQR 0-675]; P = 0.01). Twenty-seven of the 33 PA requests that were initially denied (82%) were eventually approved. Thus, 96% of all PAs were ultimately approved.

CONCLUSION

PA requirements are associated with treatment delays and denials are associated with greater glucocorticoid exposure. Because the great majority of PA requests are ultimately approved, the value of PA requirements and their impact on patient safety should be reevaluated.

Evaluation of the Economic Benefit of Earlier Systemic Lupus Erythematosus (SLE) Diagnosis Using a Multivariate Assay Panel (MAP)

Objective

Diagnosis of systemic lupus erythematosus (SLE) made by standard diagnostic laboratory tests (SDLTs) has sensitivity and specificity of 83% and 76%, respectively. A multivariate assay panel (MAP) combining complement C4d activation products on erythrocytes and B cells with SDLTs yields a sensitivity and specificity of 80% and 86%, respectively, presumably enabling earlier SLE diagnosis at lower severity, with associated lower health care costs compared with SDLT diagnoses. We compared the payer budget impact of diagnosing SLE using MAP (incremental cost of $108) versus SDLTs.

Methods

We modeled a health plan of 1 million enrollees. SLE diagnosis among suspected patients was 9.2%. The MAP arm assumed 80%/20% of patients were tested with MAP/SDLTs, versus 100% tested with SDLTs in the SDLT arm. Prediagnosis direct costs were estimated from claims data, and postdiagnosis costs were obtained from the literature. Based on improved MAP performance, the assumed hazard ratio for diagnosis rate compared with SDLTs was 1.74 (71%, 87%, 90%, and 91% of patients who develop SLE are diagnosed in years 1 to 4 compared with 53%, 75%, 84%, and 88% of patients diagnosed with SDLTs).

Results

Total 4‐year pre‐ and postdiagnosis direct costs for patients with suspected SLE tested with MAP were $59 183 666 compared with $61 174 818 tested by SDLTs, with lower costs in the MAP arm due primarily to prediagnosis savings related to reduced hospital admissions.

Conclusion

Incorporating MAP into SLE diagnosis results in estimated 4‐year direct cost savings of $1 991 152 ($0.04 per member per month). By facilitating earlier diagnosis of SLE, MAP may enhance patient outcomes.

Systemic Lupus Erythematosus: Targeted literature review of the epidemiology, current treatment and disease burden in the Asia Pacific region

OBJECTIVE

To understand the epidemiology, current treatment and disease burden of systemic lupus erythematosus (SLE) in the Asia Pacific region (APAC).

METHODS

A targeted literature review of published evidence on SLE in APAC was conducted, using the MEDLINE® database (2008-2018), conference proceedings and other supplementary sources.

RESULTS

The review identified 70 studies conducted in China (n=15), Japan (n=13), Taiwan (n=12), Korea (n=9), Australia (n=7), Hong Kong (n=6), Singapore (n=4), and multiple places within the APAC region (n=4). Incidence rates (per 100,000 per year) ranged from 0.9-8.4, while prevalence rates ranged from 3.7-127 (per 100,000); however, recent data was limited. Asian SLE patients were reported to have higher disease severity, activity (higher SLE disease activity index scores) and organ damage accrual; along with increased morbidity, mortality, and susceptibility to renal involvement compared with other ethnicities in APAC. The risk of developing SLE is higher in the Asian population. Routinely used SLE therapies included belimumab, hydroxychloroquine, cyclophosphamide, tacrolimus, azathioprine, mycophenolate mofetil, and corticosteroids; however, prescribing patterns varied across the region. Increased disease activity was associated with high economic burden and poor quality of life for SLE patients in APAC.

CONCLUSION

SLE remains a disease with a significant unmet medical need for an innovative therapy that is well-tolerated and effective for patients in APAC. Further evidence is required to better characterize the disease and fully capture the burden and impact of SLE in APAC. This review has highlighted where there is a paucity of data from patients across the APAC region.

A comparison of the performance of the 2019 European League Against Rheumatism/American College of Rheumatology criteria and the 2012 Systemic Lupus International Collaborating Clinics criteria with the 1997 American College of Rheumatology classification criteria for systemic lupus erythematous in new-onset Chinese patients

Background

New criteria published by the European League Against Rheumatism (EULAR) and the American College of Rheumatology (ACR) use a point system that gives varying weight to each of 22 criteria. The aim of this study was to compare the performance of the 2019 EULAR/ACR criteria and the 2012 Systemic Lupus International Collaborating Clinics (SLICC) criteria with the 1997 ACR criteria in a Chinese cohort.

Methods

A cross-sectional observation study of patients with a clinical diagnosis of SLE was performed. We collected 199 new-onset SLE patients and 175 control subjects. The data were retrospectively collected to establish the patients who fulfilled the 1997 ACR, 2012 SLICC and 2019 EULAR/ACR criteria. The sensitivity and specificity of the three classification criteria were compared using McNemar’s test.

Results

The sensitivity and specificity of the 2019 EULAR/ACR criteria were 96.5% and 90.3%, respectively. For the 2012 SLICC criteria, the sensitivity and specificity were 92.0% and 84.0%, respectively, while for the 1997 ACR criteria, these two values were 75.4% and 96.0%. Leucopaenia (62%), arthritis (54%) and autoimmune haemolysis (45%) were the most frequently observed clinical manifestations in the group that fulfilled the 2019 EULAR/ACR criteria. Fever was reported by 39% of participants.

Conclusion

Compared with the 1997 ACR and 2012 SLICC criteria, the 2019 EULAR/ACR criteria performed best in terms of sensitivity but less well in terms of specificity in Chinese new-onset lupus patients.

Utility of the AVISE Connective Tissue Disease test in predicting lupus diagnosis and progression

Background

The AVISE Connective Tissue Disease (CTD) test uses autoantibody, erythrocyte-bound C4d (EC4d) and B-cell-bound C4d (BC4d) levels to aid in diagnoses of SLE, other CTDs and fibromyalgia. We evaluated the utility of the AVISE CTD test in predicting SLE disease development and damage progression.

Methods

Patients who had undergone AVISE CTD testing were assessed for SLE diagnosis by the Systemic Lupus International Collaborating Clinics (SLICC) and American College of Rheumatology criteria and for SLE damage by the Systemic Lupus International Collaborating Clinics Damage Index (SDI) at the time of AVISE testing (t=0) and 2 years later (t=2).

Results

Among 117 patients without a previous diagnosis of SLE, 65% of patients who tested positive developed SLE at t=2, compared with 10.3% of patients who tested non-positive (p<0.0001). AVISE-positive patients fulfilled significantly more SLICC diagnostic criteria than AVISE-non-positive patients at both t=0 (3.8±2.1 vs 1.9±1.1, p=0.001) and t=2 (4.5±2.2 vs 2.1±1.2, p<0.0001). AVISE-positive patients also had had significantly higher SDI at t=2 (1.9±1.3 vs 1.03±1.3, p=0.01). BC4d levels correlated with the number of SLICC criteria at t=0 (r=0.33, p<0.0001) and t=2 (r=0.34, p<0.0001), as well as SDI at t=0 (r=0.25, p=0.003) and t=2 (r=0.26, p=0.002).

Conclusions

The AVISE CTD test can aid in SLE evaluation by predicting SLE disease development and future damage progression.

Impact of the Affordable Care Act Medicaid Expansion on Access to Care and Hospitalization Charges for Lupus Patients

OBJECTIVE

To examine the impact of the Affordable Care Act on preventable hospitalizations and associated charges for patients living with systemic lupus erythematosus, before and after Medicaid expansion.

METHODS

A retrospective, quasi-experimental study, using an interrupted time series research design, was conducted to analyze data for 8 states from the Healthcare Cost and Utilization Project state inpatient databases. Lupus hospitalizations with a principal diagnosis of predetermined ambulatory-care sensitive (ACS) conditions were the unit of primary analysis. The primary outcome variable was access to care measured by preventable hospitalizations caused by an ACS condition.

RESULTS

There were 204,150 lupus hospitalizations in the final analysis, with the majority (53.5%) of lupus hospitalizations in states that did not expand Medicaid. In unadjusted analysis, Medicaid expansion states had significantly lower odds of having preventable lupus hospitalizations (odds ratio [OR] 0.958); however, after adjusting for several covariates, Medicaid expansion states had increased odds of having preventable lupus hospitalizations (OR 1.302). Adjusted analysis showed that those individuals with increased age, public insurance (Medicare or Medicaid), no health insurance, rural residence, or low income had significantly higher odds of having a preventable lupus hospitalization. States that expanded Medicaid had $523 significantly more charges than states that did not expand Medicaid. Older age and rural residence were associated with significantly higher charges.

CONCLUSION

Our findings suggest that while Medicaid expansion increased health insurance coverage, it did not address other issues related to access to care that could reduce the number of preventable hospitalizations.

In an early SLE cohort the ACR-1997, SLICC-2012 and EULAR/ACR-2019 criteria classify non-overlapping groups of patients: use of all three criteria ensures optimal capture for clinical studies while their modification earlier classification and treatment

OBJECTIVES

Classification criteria are biased towards classifying long-standing disease. We compared the European League Against Rheumatism (EULAR)/American College of Rheumatology (ACR)-2019, Systemic Lupus International Collaborating Clinics (SLICC)-2012 and ACR-1997 criteria in an early (median 48 months) systemic lupus erythematosus (SLE) cohort.

METHODS

Patients diagnosed with SLE (n=690) or control diseases (n=401). Sensitivity, specificity of the criteria and time-to-classification were calculated. Modified classification algorithms were derived from a random 80% and validated in the remaining 20% of the dataset running multiple iterations.

RESULTS

At last assessment, sensitivities of ACR-1997, SLICC-2012 and EULAR/ACR-2019 criteria were 85.7%, 91.3% and 88.6%, with specificities 93.0%, 93.8% and 97.3%, respectively. Both SLICC and EULAR/ACR enabled earlier classification. Only 76.7% of patients with SLE met all three criteria suggesting non-overlapping groups. Notably, unclassified patients had high prevalence of British Isles Lupus Assessment Group moderate/severe manifestations (43.3%-60%) and SLICC/ACR organ damage (30%-50%). At diagnosis, criteria missed 25.6%-30.5% of patients. Modification of EULAR/ACR and SLICC algorithms to include hypocomplementaemia and/or positive anti-phospholipid antibodies as alternative entry criterion, and/or allow classification with fewer clinical criteria from multiple organs, increased their sensitivity at diagnosis (median 82.0% and 86.2%) and overall (93.7% and 97.1%) with modest decreases in specificity. Importantly, patients who were still missed by the modified criteria had lower incidence of major organ involvement, use of immunosuppressive/biological therapies and organ damage.

CONCLUSIONS

The SLICC and EULAR/ACR are more sensitive than the ACR and the EULAR/ACR criteria have superior specificity in early SLE, although patients with significant disease can be missed. Combination and/or modification of the classification algorithms may enhance their sensitivity, allowing earlier classification and treatment of more patients with high disease burden.

Randomised prospective trial to assess the clinical utility of multianalyte assay panel with complement activation products for the diagnosis of SLE

Objective

We compared the physician-assessed diagnostic likelihood of SLE resulting from standard diagnosis laboratory testing (SDLT) to that resulting from multianalyte assay panel (MAP) with cell-bound complement activation products (MAP/CB-CAPs), which reports a two-tiered index test result having 80% sensitivity and 86% specificity for SLE.

Methods

Patients (n=145) with a history of positive antinuclear antibody status were evaluated clinically by rheumatologists and randomised to SDLT arm (tests ordered at the discretion of the rheumatologists) or to MAP/CB-CAPs testing arm. The primary endpoint was based on the change in the physician likelihood of SLE on a five-point Likert scale collected before and after testing. Changes in pharmacological treatment based on laboratory results were assessed in both arms. Statistical analysis consisted of Wilcoxon and Fisher’s exact tests.

Results

At enrolment, patients randomised to SDLT (n=73, age=48±2 years, 94% females) and MAP/CB-CAPs testing arms (n=72, 50±2 years, 93% females) presented with similar pretest likelihood of SLE (1.42±0.06 vs 1.46±0.06 points, respectively; p=0.68). Post-test likelihood of SLE resulting from randomisation in the MAP/CB-CAPs testing arm was significantly lower than that resulting from randomisation to SDLT arm on review of test results (−0.44±0.10 points vs −0.19±0.07 points) and at the 12-week follow-up visit (−0.61±0.10 points vs −0.31±0.10 points) (p<0.05). Among patients randomised to the MAP/CB-CAPs testing arm, two-tiered positive test results associated significantly with initiation of prednisone (p=0.034).

Conclusion

Our data suggest that MAP/CB-CAPs testing has clinical utility in facilitating SLE diagnosis and treatment decisions.

Autoantibodies in SLE: prediction and the p value matrix

Autoantibodies (AA) and antinuclear antibodies (ANA) serve as key diagnostic and classification criteria for systemic lupus erythematosus (SLE). More than 200 different AA have been reported in SLE, although only a handful (<20) are considered "mainstream" because they are widely and routinely used in diagnostic, research and clinical medicine. Although the vast majority of AA have been relegated to the diminished status of "orphan" AA, some serve as predictors of SLE because they first appear in very early or subclinical SLE. Some AA are pathogenic, whereas others are thought to protect against or ameliorate disease progression and, hence, taken together can be used as predictive biomarkers of prognosis. Although studies have shown that specific AA are detected in the preclinical phase of SLE and are biomarkers of increased risk of developing the disease, AA are currently not widely used to predict very early SLE in individuals who have low pretest probability of disease. With the advent of multianalyte arrays with analytic algorithms, emerging evidence indicates that when certain combinations of biomarkers, such as the interferon signature and stem cell factor accompany AA and ANA, the predictive power for SLE is markedly increased.

Preclinical and early systemic lupus erythematosus

The challenge of early diagnosis and treatment is a timely issue in the management of systemic lupus erythematosus (SLE), as autoimmunity starts earlier than its clinical manifestations. Hence, growing efforts for stratification of patients according to the individual risk of developing specific clinical manifestations and/or predicting a better response to a given treatment have led to the proposal of several biomarkers, which require validation for use in clinical practice. In this viewpoint, we aim at distinguishing and discussing the features and the approach to asymptomatic immunological abnormalities potentially heralding the development of SLE, defined as preclinical lupus, and clinical manifestations consistent with SLE not yet fulfilling classification criteria, defined as early lupus. In case of preclinical SLE, careful surveillance using available screening tools is paramount, while patients with early lupus deserve an appropriate and timely diagnosis and, consequently, a proper treatment including hydroxychloroquine as the anchor drug.

Cost-effectiveness of a peer mentoring intervention to improve disease self-management practices and self-efficacy among African American women with systemic lupus erythematosus: analysis of the Peer Approaches to Lupus Self-management (PALS) pilot study

OBJECTIVE

The Peer Approaches to Lupus Self-management (PALS) program was developed as a peer mentoring tool to improve health behaviors, beliefs, and outcomes in African American women with systemic lupus erythematosus (SLE). This study aims to assess the cost of the PALS intervention and determine its effectiveness when compared to existing treatments.

METHODS

Peer mentors and mentees were paired on shared criteria such as life stage, marital status, or whether they were mothers. This 12-week program consisted of a weekly peer mentoring session by telephone. Cost of healthcare utilization was evaluated by assessing the healthcare costs pre- and post-intervention. Validated measures of quality of life, self-management, disease activity, depression, and anxiety were collected. Total direct program costs per participant were totaled and used to determine average per unit improvement in outcome measures. The benefit-cost ratio and pre- versus post-intervention hospital charges were examined.

RESULTS

A total of 20 mentees and 7 mentors were enrolled in the PALS program. All PALS pairs completed 12 sessions lasting an average of 54 minutes. Mentees reported statistically significant decreases in patient-reported disease activity, depression, and anxiety, with improved trends in patient activation or patient engagement in their disease and management. The total cost per patient was $1291.50, which was $107.62 per patient per week. There was a savings of $23,417 per individual receiving the intervention with a benefit-cost ratio of 18.13 per patient.

CONCLUSION

These findings suggest that the PALS intervention was effective in improving patient-level factors and was cost-effective. Future research will need to validate these findings in a larger sample.

Systemic Lupus Erythematosus in Primary Care: An Update and Practical Messages for the General Practitioner

Systemic Lupus Erythematosus (SLE) is a complex chronic autoimmune disease that manifests a wide range of organ involvement. Traditionally, the diagnosis and management of SLE is provided at secondary and tertiary centers to ensure prompt initiation of treatment, adequate control of flares and prevention of irreversible organ damage. Notwithstanding, the role of primary care in SLE is also emerging as there are still significant unmet needs such as the diagnostic delay at the community level and the high burden of therapy- and disease-related comorbidities. In the present review, we summarize practical messages for primary care physicians and general practitioners (GPs) concerning early diagnosis and proper referral of patients with SLE. In addition, we discuss the main comorbidities complicating the disease course and the recommended preventative measures, and we also provide an update on the role and current educational needs of GPs regarding the disease.