Lupus in the far east: a modern epidemic

Opportunities and challenges of lupus care in Latin America, the Middle East, and Asia-Pacific: A call to action

Lupus remains a disease with a low prioritisation in the national agendas of many countries in Latin America, the Middle East, and Asia-Pacific, where there is a dearth of rheumatologists and limited access to new or even standard lupus treatments. There is thus an important need for education, advocacy, and outreach to prioritise lupus in these regions to ensure that patients receive the care they need. This article reviews some of the specific challenges facing the care and management of people with lupus in these regions and suggests strategies for improving patient outcomes. Specifically, we review and discuss (with a focus on the aforementioned regions) the epidemiology of lupus; economic costs, disease burden, and effects on quality of life; barriers to care related to disease assessment; barriers to effective treatment, including limitations of standard treatments, high glucocorticoid use, inadequate access to new treatments, and low adherence to medications; and strategies to improve lupus management and patient outcomes. We hope that this represents a call to action to come together and act now for the lupus community, policymakers, health authorities, and healthcare professionals to improve lupus management and patient outcomes in Latin America, the Middle East, and Asia-Pacific.

Molecular pathways identified from single nucleotide polymorphisms demonstrate mechanistic differences in systemic lupus erythematosus patients of Asian and European ancestry

Systemic lupus erythematosus (SLE) is a multi-organ autoimmune disorder with a prominent genetic component. Individuals of Asian-Ancestry (AsA) disproportionately experience more severe SLE compared to individuals of European-Ancestry (EA), including increased renal involvement and tissue damage. However, the mechanisms underlying elevated severity in the AsA population remain unclear. Here, we utilized available gene expression data and genotype data based on all non-HLA SNP associations in EA and AsA SLE patients detected using the Immunochip genotyping array. We identified 2778 ancestry-specific and 327 trans-ancestry SLE-risk polymorphisms. Genetic associations were examined using connectivity mapping and gene signatures based on predicted biological pathways and were used to interrogate gene expression datasets. SLE-associated pathways in AsA patients included elevated oxidative stress, altered metabolism and mitochondrial dysfunction, whereas SLE-associated pathways in EA patients included a robust interferon response (type I and II) related to enhanced cytosolic nucleic acid sensing and signaling. An independent dataset derived from summary genome-wide association data in an AsA cohort was interrogated and identified similar molecular pathways. Finally, gene expression data from AsA SLE patients corroborated the molecular pathways predicted by SNP associations. Identifying ancestry-related molecular pathways predicted by genetic SLE risk may help to disentangle the population differences in clinical severity that impact AsA and EA individuals with SLE.

Performance of Procalcitonin to Distinguish Fungal from Bacterial Infections in Patients with Systemic Lupus Erythematosus

Purpose

To evaluate the performance of serum procalcitonin (PCT) concentrations to diagnose fungal infection in patients with systemic lupus erythematosus (SLE).

Patients and Methods

From January 2017 to October 2020, SLE patients hospitalized for serious infection with an identified single bacterial or fungal pathogen, as well as PCT measured within 24h after admission were included. The diagnostic performance of PCT was evaluated independently and in combination with the white blood cell (WBC) count, C-reactive protein (CRP) level, and erythrocyte sedimentation rate (ESR). The analysis included the sensitivity, specificity, positive and negative predictive values, positive and negative likelihood ratios, and the crude and adjusted area under the receiver operating characteristic curve (AUROC).

Results

Sixty-nine patients were included; 26 had a fungal infection (38%) and 43 had a bacterial infection (22 gram-positive and 21 gram-negative). Fungal infection patients were mainly distributed in the respiratory group (88.5%), and bacterial infection distribution were more prevalent in respiratory group (44.2%) and abdominal/urinary group (23.3%). The PCT concentration was significantly lower in fungal infections than bacterial infections (fungal: 0.22 ng/mL, interquartile range [IQR], 0.09-0.44 vs bacterial: 0.60 ng/mL, IQR, 0.16-5.74; p = 0.016) and differed significantly between different infection sites (p = 0.022). PCT had better diagnostic performance for predicting fungal infection (AUROC = 0.731) than the WBC count (AUROC = 0.581), the CRP level (AUROC = 0.716), and ESR (AUROC = 0.583). PCT and ESR together had the best diagnostic performance, with 46.2% sensitivity and 88.4% specificity. Further, the AUROC increased compared to PCT alone but was statistically insignificant (p = 0.693).

Conclusion

For SLE patients with serious infection, the PCT concentration had better diagnostic accuracy for predicting fungal infection than the WBC count, the CRP level, and ESR. Combining PCT and ESR obtained the highest AUROC and provided an acceptable discrimination performance.

Clinical Characteristics and Prognoses of Patients With Systemic Lupus Erythematosus Hospitalized for Pulmonary Infections

Objective: To identify factors associated with mortality in SLE patients who were hospitalized for pulmonary infections (PIs). Methods: This single-center retrospective study analyzed the characteristics and risk factors for mortality in 95 SLE patients hospitalized for PIs. Results: Ninety-five SLE patients had 97 episodes of hospitalization for PIs, and 33 of these episodes (34.02%) led to death. Death from PI was associated with a higher neutrophil count (6.30 vs. 4.201 × 10⁹/L, p < 0.01), immunoglobulin G (6.20 vs. 9.82 g/L, p = 0.01), serum creatinine (126.00 vs. 73.00 μmol/L, p = 0.01), proteinuria (2.99 vs. 0.54 g/day, p < 0.01), cardiopulmonary involvement (57.58 vs. 34.38%, p < 0.05), SLE disease activity index (SLEDAI; 11.00 vs. 6.00, p < 0.05), and opportunistic infections (78.79 vs. 45.31%, p < 0.05). Demographic characteristics, antibody/complements, bacterial infection, and primary treatment before infection (including corticosteroid and immunosuppressants) had no effect. Multivariate analysis indicated cardiopulmonary involvement (HR: 2.077; 95%CI: 1.022-4.220; p = 0.043) and opportunistic infection (HR: 2.572; 95%CI: 1.104-5.993; p = 0.029) were independent risk factors for mortality. High-dose steroid pulse therapy (HR: 0.982; 95%CI: 0.410-2.350; p = 0.982) and first-line immunosuppressant therapy (HR: 1.635; 95%CI: 0.755-3.542, p = 0.212) had no effect on mortality. Conclusion: Cardiopulmonary involvement and opportunistic infection were independent risk factors for mortality for SLE patients hospitalized for PIs. Use of high-dose pulse steroids and or immunosuppressants before hospitalization had no significant effects.

Mortality prediction in systemic lupus erythematosus patients with pulmonary infection

OBJECTIVE

The impact of pulmonary infection (PI) on mortality of patients with systemic lupus erythematosus (SLE) has been established. Nevertheless, the effect of risk factors in mortality remains controversial. The objective of this study is to determine the risk factors of short-term mortality among SLE patients with PI.

METHOD

The clinical data of 54 SLE patients with 59 episodes of PI who were hospitalized from January 2013 to May 2018 was retrospectively analyzed. Demographic data, clinical features, and outcomes were collected. Logistic regression analysis was carried out to determine the independent predictors of 60-day mortality during hospitalization. We used receiver operating characteristics (ROC) curves to verify the indices as mortality predictors in the study patients.

RESULTS

There were a total of 54 patients with 59 episodes of PI. There were 12 deaths during hospitalization. In multivariate analysis, 24-hour urinary protein (24h-PRO) (odds ratio [OR]: 2.713, 95% CI: 1.234-5.965, P = 0.013), peripheral lymphocyte count (OR: 0.066, 95% CI: 0.005-0.887, P = 0.040), and serum complement 3 level (C3) (OR: 0.097, 95% CI: 0.010-0.954, P = 0.045) were associated with mortality among our cohort of SLE patients with PI. ROC curve values were 0.818 for lymphocyte count (95% CI: 0.696-0.907, P = 0.001), 0.894 for 24h-PRO (95% CI: 0.786-0.959, P < 0.001) and 0.825 for C3 (95% CI: 0.704-0.912, P = 0.001). The cut-off value of lymphocytes, 24h-PRO and C3 were 0.53 × 10⁹ /L, 0.92 g and 0.52 g/L, respectively.

CONCLUSION

The presence of albuminuria, lymphopenia and low complement C3 levels were independent prognostic predictors of short-term mortality in SLE patients with PI.