Readmissions in patients with cerebral cavernous malformations: a national readmission database study

Hospital Readmission Rates in Patients With Neuromyelitis Optica Spectrum Disorder

BACKGROUND

Neuromyelitis optica spectrum disorder (NMOSD) is an aggressive central nervous system astrocytopathy often resulting in rapid neurologic decline. Patients have recurrent flares that require immunomodulatory therapy for relapse prevention. These patients are usually hospitalized and may need rehospitalization after decline. Hospital readmission rates are important indicators that can be used to gauge health care quality and have direct implications on hospital compensation. This study aims to identify high-risk characteristics of patients with NMOSD that can be used to predict hospital readmissions.

METHODS

The 2017 Nationwide Readmissions Database was searched for hospital admissions for NMOSD in the United States. All patients with hospital readmission within 30 days of discharge from the index hospitalization were included.

RESULTS

The 30-day all-cause readmission rate for NMOSD was 11.9% (95% CI, 10.6%-13.3%). Patients aged 65 to 74 years had higher odds of readmission; those with private insurance had decreased odds. Sex did not affect readmission. Several comorbidities, such as respiratory failure, peripheral vascular disease, neurocognitive disorders, and neurologic blindness, were predictive of readmissions. Plasma exchange increased the odds of readmission, whereas intravenous immunoglobulin and immunomodulatory infusions, such as chemotherapies and monoclonal antibodies, did not affect readmission.

CONCLUSIONS

The most common etiologies for 30-day read-mission were neurologic, infectious, and respiratory. Treatment targeted toward these etiologies may result in reduced overall readmission, thereby decreasing overall disease burden.

Age- and Diagnosis-Based Trends for Unplanned Pediatric Rehospitalizations in the United States

Background and objectives: Hospital readmission rate helps to highlight the effectiveness of post-discharge care. There remains a paucity of plausible age-based categorization especially for ages below one year for hospital readmission rates.

Methods: Data from the 2017 Healthcare Cost and Utilization Project National Readmissions Database was analyzed for ages 0-18 years. Logistic regression analysis was performed to identify predictors for unplanned early readmissions. 

Results: We identified 5,529,389 inpatient pediatric encounters which were further divided into age group cohorts. The overall rate of readmissions was identified at 3.2%. Beyond infancy, the readmission rate was found to be 6.7%. Across all age groups, the major predictors of unplanned readmission were cancers, diseases affecting transplant recipients and sickle cell patients. It was determined that reflux, milk protein allergy, hepatitis and inflammatory bowel diseases were significant diagnoses leading to readmission. Anxiety, depression and suicidal ideation depicted higher readmission rates in those older than 13 years. Across ages one to four years, dehydration, asthma and bronchiolitis were negative predictors of unplanned readmission. 

Conclusions: Thirty-day unplanned readmissions remain a problem leading to billions of taxpayer dollars lost per annum. Effective strategies for mandatory outpatient follow-up may help the financial aspect of care while also enhancing the quality of care.