In a multivariate logistic regression analysis, investigators observed that patients aged 65 to 74 years (OR, 1.954; P = .042) had an increased rate of readmission whileall other age groups had a similar rate of readmission. Compared with other comorbidities, researchers observed that sex had no effect on readmission odds for patients. Also, the only insurance status protective of readmission was private insurance (OR, 0.528; P <.001) compared with the population of patients with Medicaid. Additionally, authors noted that hospital teaching status impacted readmission odds, as both teaching metropolitan hospitals (OR, 0.535; P < .001) and nonmetropolitan hospitals (OR, 0.425; P = .042) were protective of readmission relative to nonteaching metropolitan hospitals.
Investigators observed that comorbidities such as respiratory failure (OR, 2.952; P < .001), peripheral vascular disease (OR, 2.401; P = .005), neurocognitive disorders (OR, 3.944; P < .001), and neurologic blindness (OR, 2.159; P < .007) were all shown to be predictive of readmission into the hospital. Notably, researchers observed that only lipid disorders resulted in decreased odds of hospital readmission (OR, 0.624; P = .016). In addition, IVIg and immunomodulatory infusions did not impact the odds of readmission compared with PLEX, which increased odds of readmission (OR, 1.483; P = .025).
Limitations of this analysis included the study design as authors noted that only correlation can be inferred, and no statement of causation can be made. The authors also noted that the database used stores only admission data, does not record emergency or urgent care after discharge or admitted to the hospital for observation, and does not include medications taken which may affect readmission rates. Additionally, the investigators noted misclassification bias in the study, since a small proportion of patients were readmitted with the diagnosis of MS. Also, other cofactors and synergistic roles between some risk factors were not explored, which may impact readmission rates.
"I believe this adds some context to potential causes of readmission for a rare disease, and hopefully we can be more predictive in the future of which patients may be at risk of readmission. Patients with NMO tend to end up in the hospital for relapses, and we should as always be diligent to minimize the potential for readmission to the hospital," Kilgo told. "Retrospective chart review or prospective institutional cohorts would be reasonable next steps as this project involved retrospective review of ICD-10 codes, which limits our ability to get more context for thought processes underlying readmission."
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REFERENCES
1. Padarti A, Amritphale A, Kilgo W. Hospital Readmission Rates in Patients With Neuromyelitis Optica Spectrum Disorder. Int J MS Care. 2023;25(5):221-225. doi:10.7224/1537-2073.2022-049
2. NRD Database Documentation. Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality, Department of Health and Human Services. Last modified December 7, 2022. Accessed January 8, 2024. http://www.hcup-us.ahrq.gov/db/nation/nrd/nrddbdocumentation.jsp