Clinical characterization, outcomes, and prognosis in patients with systemic lupus erythematosus admitted to the intensive care unit

Analysis of 5-year hospitalization data of patients with systemic lupus erythematosus: Damage is a risk factor for frequent and longer stays

OBJECTIVE

The annual hospitalization rate of patients with systemic lupus erythematosus (SLE) is approximately 10%, and hospitalizations are responsible for most of the healthcare expenses. Herein, we analyzed 5-year hospitalization data of SLE patients and determined factors leading to hospitalization.

METHODS

Clinical, laboratory, and hospitalization data of SLE patients admitted to our rheumatology clinic in 2015-2020 were retrieved from our SLE database and analyzed. SLICC SLE damage index (SDI) and disease activity at admission (SLEDAI-2K) were determined.

RESULTS

Among 161 hospitalized patients, 86% were females. Total rheumatologic hospitalization number was 298, and 38% of the patients were hospitalized more than once (1.85 ± 1.56). The mean hospitalization duration covering all stays for each patient was 25 ± 26.5 days. Active disease, infection, and damage-related complications were first three causes of hospitalization. Compared to patients hospitalized for active disease or damage, patients hospitalized for infection had a significantly higher number of readmissions (p < .05) and their total hospital stay was longer (p < .01).The frequency of patients with damage and the mean SDI score was significantly lower in the active disease group (68%, 1.93 ± 2.05) than hospitalizations for infection (90%, 2.68 ± 1.63) and damage-related causes (96%, 3.04 ± 1.65) (p < .05). The mean SDI score and duration (r = 0.551, p < .001) and the number of hospitalizations (r = 0.393, p < .001) were positively correlated. The mean disease activity scores of patients hospitalized for active disease, infection, and damage-related reasons were 11.03 ± 6.08, 3.21 ± 2.80, and 2.96 ± 3.32, respectively (p < .001). Renal active disease was the most common (44%), followed by hematological (34.8%), articular (21.7%), and mucocutaneous (21%) activity.Ten percent of the patients all of whom had damage were admitted to intensive care unit (ICU). Total hospitalization duration, mean SDI, antiphospholipid syndrome, lupus anticoagulant, thrombocytopenia, serositis, pulmonary hypertension, history of alveolar hemorrhage, and cardiac valve involvement were associated with ICU admission (p < .05 for all).

CONCLUSION

Disease activity, infections, and damage are the leading causes of hospitalization in SLE patients. Damage prolongs hospital stay and increases hospitalization rate and ICU need. Tight control of disease activity with rational use of immunosuppressive treatment is important to reduce damage and hospitalizations.

Severe pneumonia in patients with systemic lupus erythematosus admitted to the intensive care unit

BACKGROUND

The aim of this study was to investigate clinical characters and prognosis of patients with systemic lupus erythematosus (SLE) and severe pneumonia admitted to the intensive care unit (ICU).

MATERIALS AND METHODS

We conducted a retrospective study that reviewed all clinical records of patients with SLE and severe pneumonia admitted to the ICU between 2008 and 2020.

RESULTS

A total of 86 SLE patients with severe pneumonia during their first ICU admission were enrolled in this study. Most patients were female (n = 71, 82.5%), and the median age was 42.3 ± 14.7 years. The most common organisms were gram-positive bacteria (20.9%), followed by gram-negative bacteria (18.6%) and fungi (10.4%). A total of 31 patients died within 30 days of ICU admission, and the 30-day mortality was 36%. In binary logistic regression analysis, Acute Physiologic and Chronic Health Evaluation II (APACHE II) score, Sequential Organ Failure Assessment (SOFA) score and mechanical ventilation were dependently associated with 30-day mortality (odds ratio [OR] 2.97, P = 0.016; OR = 4.02, P = 0.023; OR = 1.52, P = 0.036; respectively). Among the other 55 patients, 5 patients died after discharge from the ICU during the long-term follow-up.

CONCLUSIONS

Mortality was high in SLE patients with severe pneumonia admitted to the ICU, and most of the patients died within 30 days of ICU admission.

Development and validation of models for risk of death in patients with systemic lupus erythematosus admitted to the intensive care unit: a retrospective study

OBJECTIVE

For patients with systemic lupus erythematosus (SLE) in the intensive care unit (ICU), early detection of the mortality risk is a significant factor in improving outcomes. In this study, we developed and validated predictive models for the mortality risk.

METHODS

Using MIMIC-III v1.4 and MIMIC-IV v0.4, we collected data of patients with SLE who were admitted to the ICU. The patients were divided into two groups based on death or survival within 30 days. Two prediction models were built for each group: a traditional logistic regression model and a linear discriminant analysis (LDA) model constructed by the random subspace method (RSM) (RSM-LDA model). The performance of the two models was analyzed using the area under the receiver operating characteristic curve (AUC).

RESULTS

MIMIC-III and MIMIC-IV were used to establish and validate the models. This study involved 383 patients with SLE, 65 of whom died. They were divided into two groups according to whether they died within 30 days. The predictive factors were the type of admission to the ICU, SLE-associated interstitial pneumonia, lupus nephritis, immunoglobulin G level, and cardiolipin antibody level. A logistic regression model and an RSM-LDA model were established. The AUCs of the two models were 0.87 (95% confidence interval, 0.86-0.90) and 0.91 (95% confidence interval, 0.88-0.93), respectively.

CONCLUSION

The RSM-LDA model can predict the risk of death in patients with SLE admitted to the ICU at an early stage. Key Points • Compared with traditional prediction models, RSM-LDA model has a better ability to predict the risk of death inpatients with systemic lupus erythematosus. • Compared with traditional prediction models, the more input variables (mortality related risk factors), the better the prediction results of RSM-LDA model.

Outcome of critically ill patients with systemic lupus erythematosus from a medical intensive care unit in Southern India

OBJECTIVE

Systemic lupus erythematosus (SLE) has become the most prevalent autoimmune condition requiring admission in the intensive care units (ICU) in the last two decades. Here we analysed the clinical outcomes of SLE patients admitted to our ICU between 2011 and 2021, and studied the prognostic role of high-density lipoprotein (HDL) and procalcitonin in those enrolled after August 2019.

METHODS

Systemic lupus erythematosus (ACR/SLICC 2012) were enrolled, 72 retrospectively and 30 prospectively. Data on indications for ICU admission, complications, infections, and disease activity were recorded. Outcome was mortality at 90 days (prospective) whereas in the retrospective analysis outcome was hospital discharge or death in hospital. Serum HDL and procalcitonin (PCT) was estimated in the prospectively enrolled 30 patients and compared with 30 non ICU-SLE patients.

RESULTS

Indications for ICU admissions were respiratory causes in 78/102 (76.5%) patients; for haemodynamic monitoring and for invasive procedures in the remaining. Pneumonia was the primary reason for mechanical ventilation, followed by diffuse alveolar haemorrhage (DAH). Eighty-three (81.3%) patients died; infections (n = 54) and SLE related causes (n = 29). APACHE-II >16 (p = .026), lymphopenia (p = .021), infection (p = .002), creatinine >1.3 mg/dL (p = .023), and hypotension requiring vasopressor support (p = .006) emerged as significant predictors of non-survival on multivariable analysis. HDL (mg/dL) day 1 was significantly lower in SLE-ICU patients compared to non ICU-SLE (31.8 ± 14.3 vs 38.8 ± 11.4 mg/dl); p = .045. On day 1, PCT (ng/mL) in SLE-ICU was significantly higher when compared to non-ICU SLE; median (IQR): 0.53 (0.26-5.27) versus 0.13 (0.05-0.47), p < .001), respectively. It was also significantly higher on day 5 in SLE-ICU than non-ICU SLE (median (IQR): 4.18 (0.20-14.67) versus 0.10 (0.08-0.46), p = .004.

CONCLUSION

The mortality of SLE patients admitted to the ICU in this study is high, and infections were the principal reason for death. Baseline low HDL and higher procalcitonin are potential biomarkers to identify critically ill SLE patients.

A Framework to Overcome Challenges in the Management of Infections in Patients with Systemic Lupus Erythematosus

Infections remain one of the leading causes of death in systemic lupus erythematosus (SLE), despite awareness of factors contributing to increased susceptibility to infectious diseases in SLE. Clinicians report challenges and barriers when encountering infection in SLE as certain infections may mimic a lupus flare. There are no evidence-based practice guidelines in the management of fever in SLE, with suboptimal implementations of evidence-based benefits related to infectious disease control and/or prevention strategies in SLE. Vigilance in identifying an opportunistic infection must be stressed when confronted by a diagnostic challenge during a presentation with a febrile illness in SLE. A balanced approach must focus on management of infections in SLE, and reduction in the glucocorticoids dose, given the need to control lupus disease activity to avoid lupus related organ damage and mortality. Clinical judgement and application of biomarkers of lupus flares could reduce false positives and overdiagnosis and improve differentiation of infections from lupus flares. Further precision-based risk and screening measures must identify individuals who would benefit most from low dose immunosuppressive therapy, targeted immune therapy, and vaccination programs.

Development of a Novel Simple Model to Predict Mortality in Patients With Systemic Lupus Erythematosus Admitted to the Intensive Care Unit

Background: Patients with systemic lupus erythematosus (SLE) may sometimes require admission to the intensive care unit (ICU), and the outcome is poor. The aim of this study was to explore the clinical features of patients with SLE in the ICU, identify prognostic factors, and develop and evaluate a prognostic model to predict in-ICU mortality of patients with SLE.

Patients and Methods: This was a single center retrospective study in a tertiary medical institution in China. A total of 480 SLE patients with 505 ICU admissions from 2010 to 2019 were screened, and 391 patients were enrolled. The clinical feature and outcomes of the patients were analyzed. According to the random number table, patients were divided into two mutually exclusively groups named derivation (n = 293) and validation (n = 98). Prognostic factors were identified by a Cox model with Markov Chain Monte Carlo simulation and evaluated by latent analysis. The risk score was developed based on the derivation group and evaluated using the validation group.

Results: Among the 391 patients, 348 (89.0%) patients were females. The median age of patients was 34 years, and the median course of SLE was 6 months. The median APACHE II and SLEDAI were 17 and 10, respectively. The average in-ICU mortality was 53.4% (95% CI, 48.5–58.4%). A total of 186 patients were admitted to the ICU due to infection. Pneumonia (320/391, 81.8%) was the most common clinical manifestation, followed by renal disease (246/391, 62.9%). Nine prognostic factors were identified. The model had C statistic of 0.912 (95% CI, 0.889–0.948) and 0.807 (95% CI 0.703–0.889), with predictive range of 5.2–98.3% and 6.3–94.7% for the derivation and validation groups, respectively. Based on distribution of the risk score, 25.3, 49.5, and 25.2% of patients were stratified into the high, average, and low-risk groups, with corresponding in-ICU mortality of 0.937, 0.593, and 0.118, respectively.

Conclusion: Nine prognostic factors including age, white blood cell count, alanine transaminase, uric acid, intracranial infection, shock, intracranial hemorrhage, respiratory failure, and cyclosporin A/tacrolimus usage were identified. A prognostic model was developed and evaluated to predict in-ICU mortality of patients with SLE. These findings may help clinicians to prognostically stratify patients into different risk groups of in-ICU mortality, and provide patients with intensive and targeted management.