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.

Systemic lupus erythematosus (SLE) is a common, potentially fatal autoimmune disease involving a significant inflammatory response. SLE is characterised by failure of self-tolerance and activation of autoreactive lymphocytes, leading to persistent disease. Although current treatments achieve some improvement in patients, some SLE patients are refractory and others relapse after drug withdrawal. The toxicity of current drug regimens, with recurrent infections, together with ongoing inflammation, contribute significantly to the progressive decline in organ function. Therefore, the clinical management of SLE requires more effective and less toxic treatments, ideally inducing complete remission and self-tolerance. In this context, recently developed cell therapies based on mesenchymal stem cells (MSCs) represent a promising and safe strategy in SLE. MSCs inhibit the activation of B cells, prevent the differentiation of CD4⁺ T cells into autoreactive T cells, reprogram macrophages with anti-inflammatory effects and inhibit dendritic cells (DCs), limiting their activity as antigen-presenting cells. In addition, MSCs could induce antigen-specific tolerance by enhancing anergy processes in autoreactive cells - by inhibiting the maturation of antigen-presenting DCs, blocking the T cell receptor (TcR) pathway and secreting inhibitory molecules -, increasing apoptotic activity to eliminate them, and activating regulatory T cells (Tregs) to enhance their proliferation and induction of tolerogenic DCs. Thus, induction of self-tolerance leads to immune balance, keeping inflammation under control and reducing lupus flares.

Background/Objectives: The spread of the COVID-19 pandemic has spurred the development of advanced healthcare tools to effectively manage patient outcomes. This study aims to identify key predictors of mortality in hospitalized patients with some level of natural immunity, but not yet vaccinated, using machine learning techniques. Methods: A total of 363 patients with COVID-19 admitted to Río Hortega University Hospital in Spain between the second and fourth waves of the pandemic were included in this study. Key characteristics related to both the patient’s previous status and hospital stay were screened using the Random Forest (RF) machine learning technique. Results: Of the 19 variables identified as having the greatest influence on predicting mortality, the most powerful ones could be identified at the time of hospital admission. These included the assessment of severity in community-acquired pneumonia (CURB-65) scale, age, the Glasgow Coma Scale (GCS), and comorbidities, as well as laboratory results. Some variables associated with hospitalization and intensive care unit (ICU) admission (acute renal failure, shock, PRONO sessions and the Acute Physiology and Chronic Health Evaluation [APACHE-II] scale) showed a certain degree of significance. The Random Forest (RF) method showed high accuracy, with a precision of >95%. Conclusions: This study shows that natural immunity generates significant changes in the evolution of the disease. As has been shown, machine learning models are an effective tool to improve personalized patient care in different periods.