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Bertsias G, Askanase A, Doria A, Saxena A, Vital EM. A path to Glucocorticoid Stewardship: a critical review of clinical recommendations for the treatment of systemic lupus erythematosus. Rheumatology (Oxford) 2024; 63:1837-1849. [PMID: 38281071 PMCID: PMC11215984 DOI: 10.1093/rheumatology/keae041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 12/14/2023] [Accepted: 01/02/2024] [Indexed: 01/29/2024] Open
Abstract
Glucocorticoids (GCs) have revolutionized the management of SLE, providing patients with rapid symptomatic relief and preventing flares when maintained at low dosages. However, there are increasing concerns over GC-associated adverse effects and organ damage, which decrease patients' quality of life (QOL) and increase healthcare costs. This highlights the need to balance effective GC use and minimize toxicity in patients with SLE. Herein, we provide an overview of the theoretical considerations and clinical evidence, in addition to the variations and similarities across nine national and eight international recommendations regarding the use of GCs across SLE manifestations and how these compare with real-world usage. In line with this, we propose possible actions toward the goal of GC Stewardship to improve the QOL for patients with lupus while managing the disease burden.
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Affiliation(s)
- George Bertsias
- Rheumatology and Clinical Immunology, University of Crete Medical School, Heraklion, Greece
- Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology—Hellas (FORTH), Heraklion, Greece
| | - Anca Askanase
- Division of Rheumatology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Andrea Doria
- Division of Rheumatology, Department of Medicine, University of Padova, Padova, Italy
| | - Amit Saxena
- Division of Rheumatology, Department of Medicine, NYU Langone Health, New York, NY, USA
| | - Edward M Vital
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK
- NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
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Espinosa G, Cervera R. Combination of old and new drugs to improve renal outcome in SLE patients. Rheumatology (Oxford) 2024; 63:271-272. [PMID: 37656924 DOI: 10.1093/rheumatology/kead458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Revised: 08/07/2023] [Accepted: 08/20/2023] [Indexed: 09/03/2023] Open
Affiliation(s)
- Gerard Espinosa
- Department of Autoimmune Diseases, Reference Centre (UEC/CSUR) for the Catalan and Spanish Health Systems, Member of ERN-ReCONNET, Hospital Clínic, Barcelona, Catalonia, Spain
| | - Ricard Cervera
- Department of Autoimmune Diseases, Reference Centre (UEC/CSUR) for the Catalan and Spanish Health Systems, Member of ERN-ReCONNET, Hospital Clínic, Barcelona, Catalonia, Spain
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Tharwat S, Shaker EA. Adherence patterns to medications and their association with subsequent hospitalization in adult Egyptian patients with systemic lupus erythematosus. Lupus 2023; 32:1335-1344. [PMID: 37632454 DOI: 10.1177/09612033231198826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/28/2023]
Abstract
OBJECTIVE The aim of this study was to evaluate the adherence pattern to medications and the influence of non-adherence on hospitalization rate among Egyptian patients who were diagnosed with systemic lupus erythematosus (SLE). METHODS This cross-sectional interview-based study was conducted in an Egyptian rheumatology outpatient clinic. Individuals with SLE who were prescribed oral medications were included in the study. The 19-item Compliance Questionnaire of Rheumatology (CQR) was employed to evaluate drug adherence. Patients were classified as non-adherent and adherent group based on their CQR score Sociodemographic variables, clinical and therapeutic data, and the frequency of outpatient visits and hospitalization were collected and compared between the two groups. RESULTS In total, there were 161 SLE patients who participated in the study with mean age 30.70 ± 9.62 years, 129 females and 32 males (F:M 5.4:1). Of them, 93 patients were assigned to the non-adherent group, whereas 68 patients were assigned to the adherent group. There was a statistically significant difference in terms of marital status (p = 0.009), employment (p = 0.032), and the frequency of physical activity (p = 0.045) between the two groups. The adherents had a higher rate of administration of antimalarials (88.2% vs 75.3%, p = 0.039). The frequency of recurrent fever was lower in adherents (23.5% vs 38.7%, p = 0.042), lymphadenopathy (11.8% vs 31.2%, p = 0.004), recurring oral ulcers (25% vs 50.5%, p = 0.001), and substantial hair loss (87.1% vs 98.5%, p = 0.009) in comparison to non-adherents. The number of yearly outpatient visits was considerably greater in adherents (p = 0.007), while the number of prior hospitalizations was higher in non-adherents (p < 0.001). Non-adherents believed that taking medicines disrupt patients' daily routine (p < 0.001) and were more afraid of the occurrence of an adverse drug reaction (p < 0.001). CONCLUSIONS Egyptian SLE patients have an alarmingly high percentage of medication non-adherence. There is a strong association between medication non-adherence and frequency of hospitalization and cumulative clinical manifestations.
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Affiliation(s)
- Samar Tharwat
- Department of Internal Medicine, Rheumatology & Immunology Unit, Mansoura University Faculty of Medicine, Mansoura, Egypt
- Department of Internal Medicine, Faculty of Medicine, Horus University, New Damietta, Egypt
| | - Eman Ali Shaker
- Mansoura Manchester Programme for Medical Education, Mansoura University Faculty of Medicine, Mansoura, Egypt
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Wang DC, Xu WD, Wang SN, Wang X, Leng W, Fu L, Liu XY, Qin Z, Huang AF. Lupus nephritis or not? A simple and clinically friendly machine learning pipeline to help diagnosis of lupus nephritis. Inflamm Res 2023:10.1007/s00011-023-01755-7. [PMID: 37300586 DOI: 10.1007/s00011-023-01755-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 05/17/2023] [Accepted: 05/30/2023] [Indexed: 06/12/2023] Open
Abstract
OBJECTIVE Diagnosis of lupus nephritis (LN) is a complex process, which usually requires renal biopsy. We aim to establish a machine learning pipeline to help diagnosis of LN. METHODS A cohort of 681 systemic lupus erythematosus (SLE) patients without LN and 786 SLE patients with LN was established, and a total of 95 clinical, laboratory data and 17 meteorological indicators were collected. After tenfold cross-validation, the patients were divided into training set and test set. The features selected by collective feature selection method of mutual information (MI) and multisurf were used to construct the models of logistic regression, decision tree, random forest, naive Bayes, support vector machine (SVM), light gradient boosting (LGB), extreme gradient boosting (XGB), and artificial neural network (ANN), the models were compared and verified in post-analysis. RESULTS Collective feature selection method screens out antistreptolysin (ASO), retinol binding protein (RBP), lupus anticoagulant 1 (LA1), LA2, proteinuria and other features, and the hyperparameter optimized XGB (ROC: AUC = 0.995; PRC: AUC = 1.000, APS = 1.000; balance accuracy: 0.990) has the best performance, followed by LGB (ROC: AUC = 0.992; PRC: AUC = 0.997, APS = 0.977; balance accuracy: 0.957). The worst performance is naive Bayes model (ROC: AUC = 0.799; PRC: AUC = 0.822, APS = 0.823; balance accuracy: 0.693). In the composite feature importance bar plots, ASO, RF, Up/Ucr, and other features play important roles in LN. CONCLUSION We developed and validated a new and simple machine learning pathway for diagnosis of LN, especially the XGB model based on ASO, LA1, LA2, proteinuria, and other features screened out by collective feature selection.
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Affiliation(s)
- Da-Cheng Wang
- Department of Evidence-Based Medicine, Southwest Medical University, 1 Xianglin Road, Luzhou, Sichuan, China
| | - Wang-Dong Xu
- Department of Evidence-Based Medicine, Southwest Medical University, 1 Xianglin Road, Luzhou, Sichuan, China
| | - Shen-Nan Wang
- Luzhou Meteorological Bureau, 3 Songshan Road, Luzhou, Sichuan, China
| | - Xiang Wang
- Luzhou Meteorological Bureau, 3 Songshan Road, Luzhou, Sichuan, China
| | - Wei Leng
- Luzhou Meteorological Bureau, 3 Songshan Road, Luzhou, Sichuan, China
| | - Lu Fu
- Laboratory Animal Center, Southwest Medical University, 1 Xianglin Road, Luzhou, Sichuan, China
| | - Xiao-Yan Liu
- Department of Evidence-Based Medicine, Southwest Medical University, 1 Xianglin Road, Luzhou, Sichuan, China
| | - Zhen Qin
- Department of Rheumatology and Immunology, Affiliated Hospital of Southwest Medical University, 25 Taiping Road, Luzhou, Sichuan, China
| | - An-Fang Huang
- Department of Rheumatology and Immunology, Affiliated Hospital of Southwest Medical University, 25 Taiping Road, Luzhou, Sichuan, China.
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Jin Z, Chen Z, Pan W, Liu L, Wu M, Hu H, Ding X, Wei H, Zou Y, Qian X, Wang M, Wu J, Tao J, Tan J, Da Z, Zhang M, Li J, Feng X, Sun L. Comparison of Contributors to Mortality Differences in SLE Patients with Different Initial Disease Activity: A Larger Multicenter Cohort Study. J Clin Med 2023; 12:jcm12031061. [PMID: 36769709 PMCID: PMC9918091 DOI: 10.3390/jcm12031061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 01/21/2023] [Accepted: 01/22/2023] [Indexed: 02/03/2023] Open
Abstract
To explore the etiology of risk factors and quantify the mortality differences in systemic lupus erythematosus (SLE) patients with different initial disease activity. The Jiangsu Lupus database was established by collecting medical records from first-hospitalized SLE patients during 1999-2009 from 26 centers in Jiangsu province, China, and their survival status every five years. The initial SLEDAI scores [high (>12) vs. low-moderate (≤12)] differences in mortality attributable to risk factors were quantified using population attributable fraction (PAF), relative attributable risk (RAR) and adjusted relative risk (ARR). Among 2446 SLE patients, 83 and 176 deaths were observed in the low-moderate and high activity groups, with mortality rates of 7.7 and 14.0 per 1000 person years, respectively. Anemia was the leading contributor to mortality, with PAFs of 40.4 and 37.5 in the low-moderate and high activity groups, respectively, and explained 23.2% of the mortality differences with an ARR of 1.66 between the two groups. Cardiopulmonary involvement caused the highest PAFs in the low-moderate (20.5%) and high activity (13.6%) groups, explaining 18.3% of the mortality differences. The combination of anemia and cardiopulmonary involvement had the highest RAR, causing 39.8% of the mortality differences (ARR = 1.52) between the two groups. In addition, hypoalbuminemia and a decrease in the creatinine clearance rate accounted for 20-30% of deaths and explained 10-20% of the mortality differences between the two groups, while antimalarial drug nonuse accounted for about 35% of deaths and explained 3.6% of the mortality differences. Anemia, cardiopulmonary involvement and hypoalbuminemia may cause substantial mortality differences across disease activity states, suggesting additional strategies beyond disease activity assessment to monitor SLE outcomes.
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Affiliation(s)
- Ziyi Jin
- Department of Rheumatology and Immunology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Zheng Chen
- Department of Rheumatology and Immunology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Wenyou Pan
- Department of Rheumatology, Huai’an First People’s Hospital, Huai’an 223001, China
| | - Lin Liu
- Department of Rheumatology, Xuzhou Central Hospital, Xuzhou 221008, China
| | - Min Wu
- Department of Rheumatology, The Third Affiliated Hospital of Soochow University, Changzhou 213003, China
| | - Huaixia Hu
- Department of Rheumatology, Lianyungang Second People’s Hospital, Lianyungang 222000, China
| | - Xiang Ding
- Department of Rheumatology, Lianyungang First People’s Hospital, Lianyungang 222002, China
| | - Hua Wei
- Department of Rheumatology, Northern Jiangsu People’s Hospital, Yangzhou 225007, China
| | - Yaohong Zou
- Department of Rheumatology, Wuxi People’s Hospital, Wuxi 214028, China
| | - Xian Qian
- Department of Rheumatology, Jiangsu Province Hospital of TCM, Nanjing 210004, China
| | - Meimei Wang
- Department of Rheumatology, Southeast University Zhongda Hospital, Nanjing 210009, China
| | - Jian Wu
- Department of Rheumatology, The First Affiliated Hospital of Soochow University, Suzhou 215005, China
| | - Juan Tao
- Department of Rheumatology, Wuxi TCM Hospital, Wuxi 214177, China
| | - Jun Tan
- Department of Rheumatology, Zhenjiang First People’s Hospital, Zhenjiang 212050, China
| | - Zhanyun Da
- Department of Rheumatology, Affiliated Hospital of Nantong University, Nantong 226001, China
| | - Miaojia Zhang
- Department of Rheumatology, Jiangsu Province Hospital, Nanjing 210029, China
| | - Jing Li
- Department of Rheumatology, Affiliated Hospital of Jiangsu University, Zhenjiang 212050, China
| | - Xuebing Feng
- Department of Rheumatology and Immunology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China
- Correspondence: (X.F.); (L.S.); Tel.: +86-25-6818-2422(L.S.); Fax: +86-25-6818-2428(L.S.)
| | - Lingyun Sun
- Department of Rheumatology and Immunology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China
- Correspondence: (X.F.); (L.S.); Tel.: +86-25-6818-2422(L.S.); Fax: +86-25-6818-2428(L.S.)
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