Analysis of Cutaneous Lupus Hospitalizations: A United States National Population-Based Study.

Background There are limited studies analyzing cutaneous lupus erythematosus (CLE) hospitalizations. In this study, we aimed to analyze baseline demographics of systemic lupus erythematosus (SLE) and CLE patients, identify the most common reasons for hospitalizations, and find out the hospitalization outcomes.  Materials and methods We performed the analysis using the National (Nationwide) Inpatient Sample (NIS) database between 2016 and 2019. For the CLE cohort, data for adults aged 18 years and older with the primary or secondary diagnosis of CLE using International Classification of Disease - 10th revision (ICD-10) codes were extracted. For comparison, the SLE cohort was identified by patients aged 18 years and older with primary or secondary diagnoses of SLE using ICD-10 codes. Chi-squared test was used to compare baseline demographic characteristics. Multivariable logistic and linear regression was used to calculate outcomes of interest. Results In comparison to the SLE cohort, the CLE cohort was not only older in age and lower percentage female, but also had shorter length of stay, less total hospital charge, and the majority had Medicare as primary insurance. The SLE cohort included predominantly African American patients while the CLE cohort was majority Caucasian patients. The cardiovascular risks were more prevalent in the CLE cohort and most commonly admitted for sepsis, cardiovascular disease, and mental health disorders. Conclusion Our study highlights the importance of outpatient follow-up in CLE patients to closely monitor cardiovascular risk factors, early identification of infections, and routine mental health screenings to reduce hospitalizations and resource utilization.

Longitudinal trends of systemic lupus erythematous hospitalizations in the United States: a two-decade population-based study.

BACKGROUND: Longitudinal data are limited on systemic lupus erythematosus (SLE) hospitalizations. We aim to study longitudinal trends of SLE hospitalizations in the last 2 decades in the United States (U.S). METHODS: Data were obtained from the National Inpatient Sample database (NIS). We performed a 21-year longitudinal trend analysis of NIS 1998-2018. We searched for hospitalizations for adult patients with a "principal" diagnosis of SLE (SLE flare group) and those with "any" diagnosis of SLE (all SLE hospitalization group) using ICD codes. All non-SLE hospitalizations for adult patients were used as the control. Multivariable logistic and linear regression were used appropriately to calculate adjusted p-trend for the outcomes of interest. RESULTS: Incidence of SLE flare hospitalization reduced from 4.1 to 3.2 per 100,000 U.S persons from 1998 to 2018 (adjusted p-trend < 0.0001). The proportion of all hospitalized patients with SLE admitted principally for SLE reduced from 11.3% in 1998 to 5.7% in 2018 (adjusted p-tend < 0.0001). The proportion of hospitalized blacks in the SLE flare and all SLE hospitalization groups increased from 37.7% and 26.9% in 1998 to 44.7% and 30.7% in 2018 respectively (adjusted p-trend < 0.0001). The proportion of hospitalized Hispanics and Asians disproportionally increased in SLE flare hospitalizations compared to the control group. CONCLUSION: The incidence of hospitalization for SLE flare has reduced in the last 2 decades in the U.S. The proportion of hospitalized patients with SLE admitted principally for SLE has reduced significantly over time. However, the burden of SLE hospitalizations among ethnic minorities has increased over time. Key Points • The incidence of hospitalization for SLE flare has reduced in the last 2 decades in the U.S. • The proportion of hospitalized patients with SLE admitted principally for SLE has reduced significantly over time. • The burden of SLE hospitalizations among ethnic minorities such as blacks has increased over time.

Thirty-Day Hospital Readmissions for Acute Gout in the United States: Analysis of the Nationwide Readmission Database.

BACKGROUND/OBJECTIVE: The aims of this study were to describe the rates and characteristics of nonelective 30-day readmission among adult patients hospitalized for acute gout and to assess predictors of readmission. METHODS: We analyzed the 2017 Nationwide Readmission Database. Gout hospitalizations were identified using the International Classification of Diseases, Tenth Revision, Clinical Modification code. Hospitalizations for adult patients were included. We excluded planned or elective readmissions. We utilized χ2 tests to compare baseline characteristics between readmissions and index hospitalizations. We used multivariate Cox regression to identify independent predictors of readmissions. RESULTS: A total of 11,727 index adult hospitalizations with acute gout listed as the principal diagnosis were discharged alive and included. One thousand five hundred ninety-four (13.6%) readmissions occurred within 30 days. Acute gout was the most common reason for readmission. Readmissions had higher inpatient mortality (2.4% vs 0.1%, p < 0.0001), greater mean age (68.1 vs 67.0 years, p = 0.021), and longer hospital length of stay (5.9 vs 3.8 days, p < 0.0001) compared with index hospitalizations. Charlson Comorbidity Index scores of ≥2 (score 2: adjusted hazards ratio [AHR], 1.67; p = 0.001; score ≥3: AHR, 2.08; p < 0.0001), APR-DRG (All Patients Refined Diagnosis Related Groups) severity levels ≥2 (level 2: AHR, 1.43; p = 0.044; level 3: AHR, 1.83; p = 0.002; level 4: AHR, 2.38; p = 0.002), admission to metropolitan hospital (AHR, 1.83; p = 0.012), atrial fibrillation (AHR, 1.31; p = 0.004), and anemia (AHR, 1.30; p = 0.001) were significantly associated with 30-day readmissions. CONCLUSIONS: Acute gout readmissions were associated with worse outcomes compared with index hospitalizations. Charlson Comorbidity Index scores ≥2, APR-DRG severity levels ≥2, admission to metropolitan hospital, atrial fibrillation, and anemia were significant predictors of readmission.