30-day all-cause readmission rates among a cohort of individuals with rare conditions

Frequency-based rare diagnoses as a novel and accessible approach for studying rare diseases in large datasets: a cross-sectional study

BACKGROUND

Up to 8% of the general population have a rare disease, however, for lack of ICD-10 codes for many rare diseases, this population cannot be generically identified in large medical datasets. We aimed to explore frequency-based rare diagnoses (FB-RDx) as a novel method exploring rare diseases by comparing characteristics and outcomes of inpatient populations with FB-RDx to those with rare diseases based on a previously published reference list.

METHODS

Retrospective, cross-sectional, nationwide, multicenter study including 830,114 adult inpatients. We used the national inpatient cohort dataset of the year 2018 provided by the Swiss Federal Statistical Office, which routinely collects data from all inpatients treated in any Swiss hospital. Exposure: FB-RDx, according to 10% of inpatients with the least frequent diagnoses (i.e.1.decile) vs. those with more frequent diagnoses (deciles 2-10). Results were compared to patients having 1 of 628 ICD-10 coded rare diseases.

PRIMARY OUTCOME

In-hospital death.

SECONDARY OUTCOMES

30-day readmission, admission to intensive care unit (ICU), length of stay, and ICU length of stay. Multivariable regression analyzed associations of FB-RDx and rare diseases with these outcomes.

RESULTS

464,968 (56%) of patients were female, median age was 59 years (IQR: 40-74). Compared with patients in deciles 2-10, patients in the 1. were at increased risk of in-hospital death (OR 1.44; 95% CI: 1.38, 1.50), 30-day readmission (OR 1.29; 95% CI 1.25, 1.34), ICU admission (OR 1.50; 95% CI 1.46, 1.54), increased length of stay (Exp(B) 1.03; 95% CI 1.03, 1.04) and ICU length of stay (1.15; 95% CI 1.12, 1.18). ICD-10 based rare diseases groups showed similar results: in-hospital death (OR 1.82; 95% CI 1.75, 1.89), 30-day readmission (OR 1.37; 95% CI 1.32, 1.42), ICU admission (OR 1.40; 95% CI 1.36, 1.44) and increased length of stay (OR 1.07; 95% CI 1.07, 1.08) and ICU length of stay (OR 1.19; 95% CI 1.16, 1.22).

CONCLUSION(S)

This study suggests that FB-RDx may not only act as a surrogate for rare diseases but may also help to identify patients with rare disease more comprehensively. FB-RDx associate with in-hospital death, 30-day readmission, intensive care unit admission, and increased length of stay and intensive care unit length of stay, as has been reported for rare diseases.

Associations Between Opioid Prescriptions and Use of Hospital-Based Services Among US Adults with Longstanding Physical Disability or Inflammatory Conditions Compared to Other Adults in the Medical Expenditure Panel Survey, 2010-2015

Purpose

To investigate the association of filling opioid prescriptions with healthcare service utilization among a nationally representative sample of adults with disability.

Materials and Methods

The Medical Expenditure Panel Survey (MEPS) for 2010-2015, Panels 15-19, was used to identify adults who were prescribed opioids during each two-year period. We examined the data for associations between opioid prescription filling and the number of emergency department (ED) visits and hospitalizations. The participants were grouped as those with inflammatory conditions or with longstanding physical disability, and a comparison group of those without these conditions.

Results and conclusions

Opioid prescription filling differed among adults with inflammatory conditions and longstanding physical disability compared to the comparison group (44.93% and 40.70% vs 18.10%, respectively). For both groups of people with disability, the relative rates for an ED visit or hospitalization were significantly higher for those who filled an opioid prescription, compared to adults with the same conditions who did not fill an opioid prescription. People with a longstanding physical disability who filled an opioid prescription had the highest rate ratio of ED use and hospitalization. Results from this investigation demonstrate that opioid prescription filling among persons with inflammatory conditions and longstanding physical disabilities is associated with higher rates of ED visits and hospitalizations.

Risk factors for unanticipated hospitalizations in children and youth with spina bifida at an urban children's hospital: A cross-sectional study

BACKGROUND

Spina bifida (SB) is a condition resulting from the improper closure of the neural tube and vertebral column during fetal development. While patients' life expectancy and quality of life have improved dramatically due to medical advances, children continue to experience health-related issues that often require hospitalizations.

OBJECTIVE

The association among sociodemographic and clinical characteristics with potentially preventable hospitalizations (PPH) in children and youth with myelomeningocele type SB was investigated in this cross-sectional study.

METHODS

Chart reviews and data extraction were conducted on 108 children and youth, ages 1 month to 21 years, admitted for PPH in a regional children's academic medical center between May 2017 and July 2019. Sociodemographic variables included sex, age, type of insurance and ethnicity. Clinical variables included level of lesion, ambulation status, shunt dependency and selected diagnostic categories. Univariate, bivariate, and multivariate analyses were conducted to identify factors associated with PPH.

RESULTS

Factors associated with PPH included being male, ages 5-18 years, low lumbar level lesions, non-ambulatory, with public insurance, Hispanic and shunt dependent. Most hospitalizations (73%) were for neurologic or urologic conditions. Factors independently associated with PPH were ethnicity for urologic conditions, being ambulatory for metabolic conditions, and age for gastroenterology conditions.

CONCLUSION

Selected demographic and clinical variables were found to be associated with PPH of children and youth with myelomeningocele-type SB. The most common reasons for PPH were shunt malfunctions and urinary tract infections, consistent with other studies.

Impact of single and combined rare diseases on adult inpatient outcomes: a retrospective, cross-sectional study of a large inpatient population

Background

Little is known about the impact of rare diseases on inpatient outcomes.

Objective

To compare outcomes of inpatients with 0, 1, or > 1 rare disease. A catalogue of 628 ICD-10 coded rare diseases was applied to count rare diseases.

Design

Retrospective, cross-sectional study.

Subjects

165,908 inpatients, Swiss teaching hospital.

Main measures

Primary outcome: in-hospital mortality. Secondary outcomes: length of stay (LOS), intensive care unit (ICU) admissions, ICU LOS, and 30-day readmissions. Associations with single and combined rare diseases were analyzed by multivariable regression.

Key results

Patients with 1 rare disease were at increased risk of in-hospital death (odds ratio [OR]: 1.80; 95% confidence interval [CI]: 1.67, 1.95), combinations of rare diseases showed stronger associations (OR 2.78; 95% CI 2.39, 3.23). Females with 1 rare disease had an OR of 1.69 (95% CI 1.50, 1.91) for in-hospital death, an OR of 2.99 (95% CI 2.36, 3.79) if they had a combination of rare diseases. Males had an OR of 1.85 (95% CI 1.68, 2.04) and 2.61 (95% CI 2.15, 3.16), respectively. Rare diseases were associated with longer LOS (for 1 and > 1 rare diseases: increase by 28 and 49%), ICU admissions (for 1 and > 1: OR 1.64 [95% CI 1.57, 1.71] and 2.23 [95% CI 2.01, 2.48]), longer ICU LOS (for 1 and > 1 rare diseases: increase by 14 and 40%), and 30-day readmissions (for 1 and > 1: OR 1.57 [95% CI 1.47, 1.68] and 1.64 [95% CI 1.37, 1.96]).

Conclusions

Rare diseases are independently associated with worse inpatient outcomes. This might be the first study suggesting even stronger associations of combined rare diseases with in-hospital deaths, increased LOS, ICU admissions, increased ICU LOS, and 30-day readmissions.