Current Status of the Evaluation and Management of Lupus Patients and Future Prospects

Yavuz, Şule; Lipsky, Peter E.

doi:10.3389/fmed.2021.682544

Cited by 7 publications

(7 citation statements)

References 101 publications

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“…55–58 Although these measurements are used commonly in clinical trials, they are infrequently used in clinical practice. 59 60 The frequency and severity of SLE flares are indicators of global disease control and relevant in both clinical trials and in clinical practice but are not uniformly defined yet. 59–62 Reduction in steroid use is a key treatment goal in SLE, due to an increased understanding of the risks associated with long-term exposure.…”

Section: Introductionmentioning

confidence: 99%

Conceptual framework for defining disease modification in systemic lupus erythematosus: a call for formal criteria

et al. 2022

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Disease modification has become a well-established concept in several therapeutic areas; however, no widely accepted definition of disease modification exists for SLE.We reviewed established definitions of disease modification in other conditions and identified a meaningful effect on ‘disease manifestations’ (ie, signs, symptoms and patient-reported outcomes) and on ‘disease outcomes’ (eg, long-term remission or progression of damage) as the key principles of disease modification, indicating a positive effect on the natural course of the disease. Based on these findings and the treatment goals and outcome measures for SLE, including lupus nephritis, we suggest a definition of disease modification based on disease activity indices and organ damage outcomes, with the latter as a key anchor. A set of evaluation criteria is also suggested.Establishing a definition of disease modification in SLE will clarify which treatments can be considered disease modifying, provide an opportunity to harmonise future clinical trial outcomes and enable comparison between therapies, all of which could ultimately help to improve patient outcomes. This publication seeks to catalyse further discussion and provide a framework to develop an accepted definition of disease modification in SLE.

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Section: Introductionmentioning

confidence: 99%

Conceptual framework for defining disease modification in systemic lupus erythematosus: a call for formal criteria

et al. 2022

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“…The task of managing patients with SLE is crucial in order to reduce the risk of irreversible organ damage [ 30 , 31 ]. This is not only vital for maintaining the health-related quality of life of the patients [ 32 , 33 ], but also for managing the direct costs associated with the treatment of SLE [ 34 , 35 ]. However, this task presents significant challenges due to the heterogeneous nature of SLE, which is characterized by variations in disease progression [ 36 , 37 ].…”

Section: Discussionmentioning

confidence: 99%

Systemic Lupus Erythematosus: How Machine Learning Can Help Distinguish between Infections and Flares

Usategui,

Arroyo,

Torres

et al. 2024

Bioengineering

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Systemic Lupus Erythematosus (SLE) is a multifaceted autoimmune ailment that impacts multiple bodily systems and manifests with varied clinical manifestations. Early detection is considered the most effective way to save patients’ lives, but detecting severe SLE activity in its early stages is proving to be a formidable challenge. Consequently, this work advocates the use of Machine Learning (ML) algorithms for the diagnosis of SLE flares in the context of infections. In the pursuit of this research, the Random Forest (RF) method has been employed due to its performance attributes. With RF, our objective is to uncover patterns within the patient data. Multiple ML techniques have been scrutinized within this investigation. The proposed system exhibited around a 7.49% enhancement in accuracy when compared to k-Nearest Neighbors (KNN) algorithm. In contrast, the Support Vector Machine (SVM), Binary Linear Discriminant Analysis (BLDA), Decision Trees (DT) and Linear Regression (LR) methods demonstrated inferior performance, with respective values around 81%, 78%, 84% and 69%. It is noteworthy that the proposed method displayed a superior area under the curve (AUC) and balanced accuracy (both around 94%) in comparison to other ML approaches. These outcomes underscore the feasibility of crafting an automated diagnostic support method for SLE patients grounded in ML systems.

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“…SLE affects most systems of the body and hence, patients usually go through a lengthy and difficult diagnosis process in which their symptoms may be attributed to medically unexplainable or stress-induced problems. [ 24 25 ]…”

Section: Discussionmentioning

confidence: 99%

Uncertainty and its related coping strategies in systemic lupus erythematosus. Life in the fog

Dianati¹,

Mazhariazad²,

Taghadosi³

et al. 2023

Journal of Education and Health Promotion

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BACKGROUND: One of the most prevalent problems of patients with systemic lupus erythematosus (SLE) is the uncertainty over an indefinite future. Uncertainty has significant effects on quality of life. The aim of this study was to explore uncertainty and personal strategies to cope with it among patients with SLE. MATERIALS AND METHODS: This qualitative study was conducted in 2020–2021 using conventional content analysis. Participants were 21 patients with SLE who were purposefully selected from rheumatology clinics in Kashan, Kerman, and Bandar Abbass in Iran. Data collection was performed using face-to-face, in-depth, semi-structured interviews and was continued up to data saturation. Data were analyzed concurrently with data collection through conventional content analysis approach proposed by Graneheim and Lundman. RESULTS: Two main themes, namely, “life in the fog” and “attempt to find peace” emerged from patients’ experiences of illness uncertainty of SLE. Life in the fog included three main categories of “perception of threat to health”, “challenge of doubt and certainty,” and “indefinite future.” Attempt to find peace included three main categories of “spirituality,” “reflection,” and “attempt to acquire SLE-related knowledge. CONCLUSIONS: Uncertainty is a major psychological stress for patients with SLE. Healthcare providers should therefore consider the challenges and concerns faced by patients and, through utilizing appropriate training and communicational practices, plan interventions and strategies to empower patients for coping with uncertainty.

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Current Status of the Evaluation and Management of Lupus Patients and Future Prospects

Cited by 7 publications

References 101 publications

Conceptual framework for defining disease modification in systemic lupus erythematosus: a call for formal criteria

Conceptual framework for defining disease modification in systemic lupus erythematosus: a call for formal criteria

Systemic Lupus Erythematosus: How Machine Learning Can Help Distinguish between Infections and Flares

Uncertainty and its related coping strategies in systemic lupus erythematosus. Life in the fog

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