Health-Related Quality of Life and fatigue are associated with a higher work productivity impairment in systemic lupus erythematosus patients: Data from the Almenara Lupus Cohort

Lupus ◽  
2021 ◽  
pp. 096120332110524
Author(s):  
Cristina Reategui-Sokolova ◽  
Rocío Violeta Gamboa-Cárdenas ◽  
Mariela Medina ◽  
Francisco Zevallos-Miranda ◽  
Paola Alejandra Zeña-Huancas ◽  
...  

Objectives: This study aims to determine the factors associated with absenteeism, presenteeism, and overall work impairment in patients with systemic lupus erythematosus (SLE). Methods: A total of 133 consecutive working patients with SLE were assessed between October 2017 and December 2018, using a standardized data collection form. Sociodemographic, disease, and work-related variables were collected. Work productivity and activity impairment (WPAI) was assessed with the respective questionnaire; absenteeism and presenteeism due to overall health and symptoms during the past 7 days were scored. Linear regression models were performed to determine the factors associated with absenteeism, presenteeism, and overall work impairment. Potential factors included were age at diagnosis, gender, socioeconomic status, educational level, SLEDAI, SLICC/ACR damage index (SDI), FACIT-Fatigue, and the domains of the LupusQoL Results: The mean age at diagnosis was 32.2 years (11.8); 121 (91.7%) were female. Nearly all patients were Mestizo. The mean percent of time for absenteeism was 5.0 (12.9), it was 28.5 (26.4) for presenteeism, and it was 31.3 (27.2) for overall work impairment. In the multiple regression analysis, factors associated with absenteeism were disease duration (B = −0.34; SE = 0.12; p = 0.007), pain (B = −0.14; SE = 0.06; p = 0.046), intimate relationship (B = −0.07; SE = 0.03; p = 0.046), and emotional health (B = 0.16; SE = 0.06; p = 0.006); factors associated with presenteeism were physical health (B = −0.43; SE = 0.14; p = 0.002) and FACIT (B = −0.87; SE = 0.30; p = 0.005); and factors associated with overall work impairment were pain (B = −0.40; SE = 0.11; p = 0.001) and FACIT-Fatigue (B = −0.74; SE = 0.28; p = 0.010). Conclusion: A poor HRQoL and higher levels of fatigue were associated with a higher percentage of absenteeism, presenteeism, and overall work impairment in SLE patients.

Lupus ◽  
2020 ◽  
Vol 29 (12) ◽  
pp. 1644-1649
Author(s):  
Claudia Elera-Fitzcarrald ◽  
Cristina Reátegui-Sokolova ◽  
Rocío V Gamboa-Cárdenas ◽  
Mariela Medina ◽  
Francisco Zevallos ◽  
...  

Objective To define the factors associated with fatigue in Mestizo patients with Systemic Lupus Erythematosus (SLE). Methods This is a cross-sectional study of SLE patients from a single center cohort. Visits were performed every six months. For these analyses, the first visit between October 2017 and December 2018 was included. Demographic and clinical characteristics as well as treatment were recorded at every visit. Fatigue was ascertained with the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-FT), Health-Related Quality of Life (HRQoL) with the LupusQoL, disease activity with the Systemic Lupus Erythematosus Disease Activity Index –2 K (SLEDAI-2K), and damage with the Systemic Lupus International Collaborating Clinics (SLICC)/American College of Rheumatology damage index (SDI). Prednisone use was recorded as current daily dose. Immunosuppressive drugs and antimalarial use were recorded as current, past or never. Univariable and multivariable analyses were performed using linear regression models. For the multivariable analyses, model selection followed a backward elimination procedure. Results Two hundred and twenty-six patients were evaluated. The mean (SD) age at diagnosis was 35.6 (13.1) years, 211 (93.4%) were female; and disease duration was 11.0 (7.3) years. The mean SLEDAI and SDI were 2.4 (3.5) and 1.3 (1.5), respectively. The mean FACIT-FT was 33.1 (10.8). On the multivariable analysis, age at diagnosis and some domains of HRQoL (physical health, emotional health and fatigue) remained associated. Conclusions Age at diagnosis is negatively associated with fatigue whereas HRQoL domains like physical health, emotional health and fatigue are positively associated with fatigue.


Lupus ◽  
2021 ◽  
pp. 096120332199008
Author(s):  
Reem Aldarmaki ◽  
Hiba I Al Khogali ◽  
Ali M Al Dhanhani

Introduction Systemic lupus erythematosus (SLE) is a relapsing and remitting multiorgan disease associated with significant morbidity and mortality. The survival rate of patients with SLE has recently improved, which was associated with increased morbidity and hospitalization rates. Therefore, this study aimed to examine the rate and causes of hospitalization in patients with SLE and explore factors associated with increased length of stay (LOS). Methods Patients who visited rheumatology clinics (Tawam hospital, United Arab Emirates (UAE)) and fulfilled the American College of Rheumatology (ACR) SLE criteria were identified. Retrospective charts were reviewed to determine previous admissions. Demographic data, reason for hospitalization, duration of hospitalization, intensive care unit (ICU) admission, number of specialist consultations, medications used, and SLE characteristics at time of admission were collected. The hospitalization rate was calculated as the number of hospitalized patients divided by the total number of patients with the disease. We performed multivariable regression analysis for factors associated with increased LOS. Results A total of 91 patients with SLE (88 women and 3 men) met the inclusion criteria with a mean disease duration of 10.2 years (SD 5.5). A total of 222 admissions were identified, and 66 of 91 patients were admitted at least once. The mean crude hospitalization rate calculated was 29.8%. The primary reason for admission was pregnancy (29%), SLE activity (24%), and infection (20%). When combining primary and secondary reasons, the proportion of admissions due to SLE activity increased to 32%. The mean LOS was 5.9 (SD 6.0) days. About 7% of admitted patients required ICU admission. In multivariable analysis, patients with lupus nephritis, complications during hospitalization, and increased number of specialists consultations and who were admitted to ICU and started new medication were all associated with increased LOS. Conclusion A significant proportion of patients with SLE were hospitalized during their disease course. The hospitalization rate in this study appears to be higher than those reported elsewhere. Disease flare is the leading cause of admission in patients with SLE in this relatively young cohort. Lupus nephritis has been found to be significantly related to longer LOS. Measurements taken to reduce the incidence and severity of flares would likely decrease hospitalization rate and LOS in patients with SLE.


Lupus ◽  
2020 ◽  
Vol 29 (13) ◽  
pp. 1781-1789
Author(s):  
Suhas K Ganguli ◽  
Joyce S Hui-Yuen ◽  
Meenakshi Jolly ◽  
Jane Cerise ◽  
Barbara Anne Eberhard

Objective To evaluate the reliability, validity, feasibility and psychometric performance of the Lupus Impact Tracker (LIT) as a patient reported outcome (PRO) measure tool in pediatric systemic lupus erythematosus (pSLE). Methods This is a prospective, observational, pilot study where patients aged between 12 and 25 years, fulfilling the 1997 ACR classification criteria for SLE, were enrolled. Over 3 consecutive, routine, clinical visits, the patients completed the LIT alongside the Patient-Reported Outcomes Measurement Information System-Short Forms (PROMIS-SFs), Childhood Health Assessment Questionnaire (CHAQ). Rheumatologists completed the Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI-2K) and the Systemic Lupus International Collaborating Clinics/American College of Rheumatology (SLICC-ACR) Damage Index. Demographic, clinical and laboratory data were also collected. Results Of 46 patients enrolled, 38 patients completed 2 visits and 31 completed all 3 visits. Seventy-eight percent were female, 33% African American, 28% Asian, 15% Caucasian and 17% Hispanic. The mean (SD) age was 17.2 (2.7) years, with a mean (SD) disease duration of 4.6 (3.1) years. The mean (SD) SLEDAI-2K at enrollment was 3.54 (2.96). In the 38 patients who completed two or more visits, intra-class correlation coefficient and Cronbach alpha were calculated to be 0.70 and 0.91 respectively, signifying good reliability of LIT. The LIT showed positive correlation with CHAQ-Disability Index and majority of the PROMIS-SFs parameters. Construct validity was established against clinical disease activity (SLEDAI-2K). Conclusion The preliminary results indicate that the LIT is a reliable and valid instrument to capture PRO in p-SLE. Prospective validation with a larger, multicenter cohort is the next step.


Lupus ◽  
2020 ◽  
Vol 29 (13) ◽  
pp. 1815-1820
Author(s):  
Luciana Gonzalez Lucero ◽  
Ana L Barbaglia ◽  
Verónica I Bellomio ◽  
Maria C Bertolaccini ◽  
Maximiliano A Machado Escobar ◽  
...  

The aim of this study was to determine the prevalence and incidence of Systemic Lupus Erythematosus (SLE) in Tucumán, Argentina. Methods: The study included inpatient and outpatient charts from four public hospitals and private practice rheumatology clinics, all of them members of the Tucumán Rheumatology Society. Patients older than 16 years with diagnosis of SLE between January 2005 and December 2012 were included. Prevalence and annual incidence were calculated as the number of cases per 100.000 inhabitants during the period 2005 to 2012. Results: Three hundred fifty-three patients were identified. The mean age at diagnosis was 30.5 ± 11.7 years, 93.5% women, 83% mestizos. Prevalence was 24.3 cases/100.000 inhabitants (CI 95% 22.6–28.8) and age-adjusted (≥16 years) of 34.9 cases/100.000 inhabitants (CI 95% 32.8–41.1). The annual incidence in 2005 was 1.8 cases/100.000 inhabitants (95% CI 1–2.9) and 2012 of 4.2 cases/100.000 inhabitants (95% CI 2.9–5.8). Mortality was 9.1%, with infections being the most frequent cause (14/32). Conclusion: The prevalence of SLE in the province of Tucumán was 34.9 cases/100.000 inhabitants.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1519.3-1520
Author(s):  
D. J. Park ◽  
S. E. Choi ◽  
H. Xu ◽  
J. H. Kang ◽  
S. S. Lee

Background:Objectives:Up to 30~40% of all patients with systemic lupus erythematosus (SLE) experience thrombosis, presenting as stroke and myocardial infarction, and these thrombotic events cause substantial morbidity and mortality in SLE. We explored the risk factors associated with the occurrence of thrombotic events in SLE patients.Methods:This study enrolled 259 SLE patients (mean age, 34.0 ± 13.7; 239 females) with available clinical data at the time of SLE onset from the lupus cohort at Chonnam National University Hospital. Sociodemographic, clinical, and laboratory data, and history of concomitant diseases were obtained. Thrombotic events were defined as the presence of arterial or venous thrombosis. The multivariable Cox’s model was performed to investigate the possible risk factors for thrombotic events.Results:During a mean follow-up of 103.3 months (SD, 53.4), 27 patients (10.4%) developed thrombotic events: stroke in 15 patients, venous thrombosis in five patients, myocardial infarction in four patients, and angina in three patients. In the multivariable Cox’s regression analysis, hypertension (hazard ratio [HR], 16.946; P=0.031), antiphospholipid syndrome (APS) (HR, 18.348; P=0.001), cumulative prednisolone >5 mg/day (HR, 14.374; P<0.001), use of ACE inhibitors (ACEi) or angiotensin receptor blockers (ARB) (HR, 0.110; P=0.004), and Systemic Lupus International Collaborating Clinics Group (SLICC) damage index (HR, 1.972; P=0.004) were significant predictors of the development of thrombotic events in patients with SLE.Conclusion:Patients with SLE showed significant thrombotic events during the course of their disease. Risk factors associated with thrombotic complications were higher cumulative dose of prednisolone, diagnosis of APS, and higher SLICC damage index. On the other hand, the use of ACEi or ARBs was associated with a reduced risk of thrombotic complications in patients with SLE. Our results support the need for increased monitoring of thrombotic complications in SLE patients.Disclosure of Interests: :None declared


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 610-611
Author(s):  
I. Rúa-Figueroa ◽  
D. Rua-Figueroa ◽  
A. M. Anzola Alfaro ◽  
N. Pérez-Veiga ◽  
M. Galindo-Izquierdo ◽  
...  

Background:Factors associated with the development of chronic heart failure (CHF) in systemic lupus erythematosus (SLE) have received little attention. On the other hand, recent data from the use of hydroxychloroquine in the treatment of SARS-CoV-2 infection during the COVID19 pandemic have cast some doubts on its cardiological safety.Objectives:To identify factors associated to CHF in SLE.Methods:Retrospective cross-sectional study, including all patients with SLE (≥4 ACR-1997 criteria) recruited in RELESSER registry. The objectives and methodology of the registry have been described previously (1). CHF was defined according to the Charlson index item. Patients with CHF before diagnosis of SLE were excluded. Cumulative damage was measured with the SLICC/ACR index, excluding cardiovascular (CV) items (mSDI). Multivariate analysis exploring factors associated with CHF was carried out.Results:117 patients (3% of the entire cohort) with SLE and CHF and 3,506 controls with SLE without CHF were included. 90% were women. Disease duration: mean (SD), 120.2 (87.7) months. CHF appeared after a median (P25-P75) of 9.40 (4.2-18.3) years from SLE diagnosis. Patients with CHF were older (59.8 ± 18.2 vs. 46.2 ± 4.3). In the bivariate analysis, the association of CHF with greater severity [Katz severity index: median (IQR): 4 (3-5) vs. 2 (1-3)], damage [mSDI: 3 (2-4) vs 0 (0-1)], comorbidity [modified Charlson- excluding CV items: 4 (3-6) vs 1(1-3)] and both CV (37.5% vs 6.7%) and overall mortality (43.2% vs 4.7%) (p<0.0001 for all comparisons). Also, CHF patients were more refractory to SLE treatments (33.3% vs 24%, p=0.0377) and were more frequently hospitalised due SLE [median 3 (1-5) vs 1(0-2), p<0.0001]. The results of the multivariable model are depicted in table 1.Table 1.Congestive heart failure associated factors (multivariable analysis)Odds Ratio95% CIP-valueSex (female)0.460.25 - 0.880.0147Ischaemic cardiopathy7.964.01 - 15.48<0.0001Cardiac arrhythmia7.384.00 - 13.42<0.0001Pulmonary hypertension3.711.84 - 7.250.0002Cardiac valvulopathy6.333.41 - 11.62<0.0001Hospitalization (due to SLE)3.741.81 - 8.650.0008Calcium or vitamin D5.292.07 - 16.860.0015Antimalarials0.280.17 - 0.45<0.0001mSDI *1.291.16 - 1.44<0.0001*mSDI = modified SLICC/ACR damage index (without cardiovascular items)Conclusion:- CHF is a rather late complication of SLE.- Patients with SLE and CHF have more severe SLE, with greater refractoriness to SLE treatments and higher overall mortality.- Treatment with antimalarials, as routinely used in SLE patients, is not only safe to heart, but even appears to have a cardioprotective effect.References:[1]Rúa-Figueroa I, López-Longo FJ, Calvo-Alén J, et al. National registry of patients with systemic lupus erythematosus of the Spanish Society of Rheumatology: objectives and methodology. Reumatol Clin. 2014;10(1):17-24.Acknowledgements:Research Unit of Spanish Society of RheumatologyDisclosure of Interests:None declared


2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
R. Abdwani ◽  
E. Abdalla ◽  
I. Al-Zakwani

Objectives. The aim of this study was to investigate the influence of age at disease onset on disease expression and outcomes of pediatric systemic lupus erythematosus SLE (pSLE). Methods. A total of 103 patients with pSLE from Sultan Qaboos University Hospital, Oman, were retrospectively studied. Epidemiological, clinical phenotype, disease severity, serology, treatment, and outcome were compared among the three groups using univariate statistical tests. Results. The mean disease duration of the cohort was 9.8 ± 4.7 years. The patients were divided into three groups: prepubertal onset (n=39) with mean age at diagnosis of 5.1 ± 2.0 years and pubertal disease onset (n=29) with mean age at diagnosis of 10.8 ± 1.0 years as well as postpubertal disease onset (n=35) group with mean age at diagnosis of 15.3 ± 1.6 years. The prepubertal pSLE cohort demonstrates unique characteristics with increased frequency of familial SLE (61%) of which 49% were from first-degree relatives. Similarly, this group had distinctive clinical features, which included increased renal disease in pubertal and postpubertal groups, respectively (51% vs 23% vs 20%; p=0.039). Prepubertal, similar to pubertal group, had a higher incidence of cutaneous manifestations than in the postpubertal group (74% vs 69% vs 46%; p=0.029). Laboratory features in prepubertal group were distinct with increased frequency of positive anti-cardiolipin antibodies (47%), anti-glycoprotein antibodies (42%), ANCA (62%), and low complement levels (97%) compared to pubertal and postpubertal group. The prepubertal group also has the lowest frequency of positive SSA antibodies (18%) and SSB antibodies (5.1%). The overall mean SLEDAI score in pSLE cohort was 15.6 ± 18.5. The mean SLEDAI scores among the groups showed no significance difference (p=0.110). The overall SLICC DI ≥1 was 36% with a mean damage score of 0.76 ± 1.38. No significant differences in damage index (SLICC DI ≥1) were noted among the groups. Conclusions. Distinct clinical features were identified in prepubertal onset pSLE population of Arab ethnicity. Given the high rate of consanguineous marriage and high frequency of familial SLE in this cohort, these manifestations could be explained by higher frequency of genetic factors that influence the disease pathogenesis.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 631-631
Author(s):  
N. Kapsala ◽  
D. Nikolopoulos ◽  
S. Flouda ◽  
K. Chavatza ◽  
A. Pieta ◽  
...  

Background:Systemic Lupus Erythematosus (SLE) can first present with severe or critical disease leading to hospitalization. Prompt recognition of the disease in hospitalized patients may lead to early institution of treatment and improve outcomes. We have recently developed a clinician-friendly algorithm for SLE diagnosis based on classical clinical and serological SLE features [SLE Risk Probability Index (SLERPI)]1.Objectives:To determine the clinical phenotype of SLE patients first diagnosed during hospitalization, the interval between hospitalization and SLE diagnosis and the potential impact of SLERPI on early diagnosis.Methods:Mixed prospective (from June 2020 to January 2021) and retrospective study of SLE patients from “Attikon” cohort (n=820)2. Clinical phenotype was divided into 10 core domains (neuropsychiatric, thrombosis, nephritis, serosal, haematologic, pulmonary, cardiovascular, gastrointestinal, skin-joints, other). Chart review and patient interview was performed to assess the lag time between 1) the onset of symptoms and 2) the hospitalization and the final diagnosis. Demographic and clinical characteristics, SLERPI and SLICC damage index were recorded for each patient at the time of diagnosis. SLE diagnosis was based on at least one of the three existing classification criteria.Results:Out of 820 SLE patients, 202 (24.6%) diagnosed during hospitalization were included. Among them, 185 patients (91.5%) were hospitalized because of a lupus related feature, while in the remaining 17 SLE patients, hospitalization was due to non-lupus related manifestations. The most common lupus-related clinical phenotype leading to hospital admission was neuropsychiatric lupus (n=51, 25.2%) with cerebrovascular events constituting the dominant clinical syndrome (n=8/51). Thrombotic events (n=32, 15.8%), mainly pulmonary embolism (n=20/32), cytopenias (n=32, 15.8%), lupus nephritis (n=30, 14.8%), skin-joint disease (n=26, 12.8%) and serositis (n=24, 11.8%) were also common as dominant manifestations. Pulmonary disease (n=16, 7.9%), heart disease (n= 4, 1.9%) and gastrointestinal disease (n=2, 0.9%) were less common. On admission, 11.3% of patients (n=23) had symptoms from at least 2 clinical domains as defined. Most patients (93.5%) had multisystem disease while only 6.5% had organ-dominant disease. Early diagnosis (within 3 months from hospitalization) was established in 86.6% while 27 patients had their SLE diagnosis more than 3 months from hospitalization. The mean lag time between the hospitalization and the diagnosis was approximately 14 months (SD 19.9). Overall, the mean interval between the onset of symptoms and the diagnosis was 48.2 months (SD 73.2). Importantly, a SLERPI >7 (suggesting probable SLE) at hospitalization was present in 92.5% of SLE patients with delayed diagnosis.Conclusion:One out of four SLE patients first present with moderate to severe disease necessitating hospitalization, while in approximately 15% of such patients, diagnosis is initially missed. Application of the SLERPI may facilitate early SLE diagnosis.References:[1]Adamichou C et al. Ann Rheum Dis. 2021; DOI: 10.1136/annrheumdis-2020-219069.[2]D Nikolopoulos et al. Lupus 2020; doi: 10.1177/0961203320908932.Acknowledgements:This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 742390)Disclosure of Interests:None declared


Lupus ◽  
2017 ◽  
Vol 27 (1) ◽  
pp. 33-39 ◽  
Author(s):  
M A Cosatti ◽  
S Muñoz ◽  
P Alba ◽  
C A Helling ◽  
S Roverano ◽  
...  

Objective The aim of this study was to measure presenteeism (productivity impairment while the patient is at work) and the related risk factors in patients with systemic lupus erythematosus (SLE) from Argentina. Methods A total of 130 consecutive (1997 American College of Rheumatology (ACR) criteria) working patients with SLE were assessed using a standardized data collection form. Sociodemographic, disease and work-related variables were collected. The Work Productivity and Activity Impairment (WPAI) questionnaire was performed. Results Overall, 130 patients were included in the analysis; 91% were women, and the mean age was 39 years (range 19–77). A total of 43% were White, 43% Mestizo and 13% Amerindian. Overall, 38% were single and 38% were married. A total of 75% had more than 12 years of formal education. The median disease duration was 7 years (interquartile range 25–75 (IQR) 4–13). Median Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) score was 0 (IQR 0–2), and median Systemic Lupus International Collaborating Clinics/ACR Damage Index (SLICC-SDI) score was 0 (IQR 0–1). Lupus quality of life (LupusQoL) domains scores were: physical health 87 (IQR 70–96), emotional health 78 (IQR 54–91), burden to others 75 (IQR 50–92), intimate relationships 87 (IQR 50–100), and body image 85 (IQR 70–100). Absenteeism was 8%, presenteeism was 19%, and overall work impairment (absenteeism + presenteeism) was 26%. In the multiple regression analysis, considering presenteeism as dependent variable, (adjusting by age, disease duration, >12 years of education, Non-white race, Visual Analogue Scale (VAS) pain, VAS fatigue, SLICC-SDI, LupusQoL, physical and emotional domains), we found that SLICC-SDI (odds ratio (OR) 1.68, confidence interval (CI) 1–2.7) and Non-white race (OR 3.27, CI 1.04–10) were related to presenteeism and >12 years of education (OR 0.30, CI 0.09–0.98) and higher scores of LupusQoL emotional health domain (OR 0.95, CI 0.92–0.98) were protective. Conclusions organ damage and Non-white race were significantly associated with presenteeism while >12 years of education and higher scores of LupusQoL emotional health domain were protective.


2022 ◽  
Vol 49 (1) ◽  
Author(s):  
Ghada M. Mosaad ◽  
Samia M. Abdel moneam ◽  
Amal F. Soliman ◽  
Seham G. Ameen ◽  
Arwa S. Amer

Abstract Background Systemic lupus erythematosus (SLE) is a chronic autoimmune disorder with more than one organ involvement. Kidney is the foremost commonly affected one. Gelsolin is a protein that induces depolymerization of actin filaments thus preventing downstream stimulation of inflammatory reactions. The aim of this work was to detect the relation of plasma gelsolin to SLE disease activity and severity indices in order to find out if plasma gelsolin could be used as a biomarker of the disease. This study was conducted on 50 SLE female patients and 30 matched control. SLE disease activity Index (SLEDAI) and SLE damage index (SDI) were assessed. All lupus nephritis (LN) patients were subjected to an ultrasound-guided kidney biopsy. Plasma gelsolin level was measured. Results The mean age of the patients was 38.5 ± 6.3 years (26–51 years) with median disease duration of 5 (3–9.3) years. Eighteen patients had LN, 11 had cardiac manifestations and 12 had chest manifestations. The mean SLEDAI was 13.1 ± 4.5 (4–22) and the median SDI was 2 (1–3). Plasma gelsolin level was significantly lower in SLE patients (74.9 mg/l; 57.5–98.8 mg/l) compared to control (801.5 mg/l; 225–1008.3 mg/l) (p < 0.001). There were significant negative correlations of gelsolin levels with anti-ds DNA (r = − 0.63, p < 0.001), SLEDAI (r = − 0.79, p < 0.001), and SDI (r = − 0.74, p = 0.001). Plasma gelsolin level was significantly lower in SLE patients with high/very high activity grades compared to those with low and moderate (p = 0.007 and p < 0.001 respectively). A gelsolin level of ≤ 78.95 mg/l significantly predicted renal affection (p < 0.001), with a sensitivity of 100%, specificity 71.9%, and a positive predictive value 66.7%. Conclusion A decreased gelsolin level is associated with disease activity in SLE patients. Plasma gelsolin was well related to disease activity and severity with a high predictive value for renal affection comparable to anti-ds DNA titre. Plasma gelsolin is a potentially important predictive biomarker for SLE and LN.


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