@article{TEXTUAL,
      recid = {6593},
      author = {Micic, Dejan and Gaetano, John N. and Rubin, Jonah N. and  Cohen, Russel D. and Sakuraba, Atsushi and Rubin, David T.  and Pekow, Joel},
      title = {Factors associated with readmission to the hospital within  30 days in patients with inflammatory bowel disease},
      journal = {PLOS ONE},
      address = {2017-08-24},
      number = {TEXTUAL},
      abstract = {&lt;p&gt;Background: Management of inpatients with inflammatory  bowel disease (IBD) requires increasing resources. We aimed  to identify factors associated with hospital readmissions  among individuals with IBD.&lt;/p&gt; &lt;p&gt;Materials &amp; methods: We  collected data from the Healthcare Cost and Utilization  Project Nationwide Readmissions Database 2013. We  identified individuals with index hospitalizations for IBD.  Patient-specific factors, comorbidities and hospitalization  characteristics were extracted for the index  hospitalization. We performed logistic regression modeling  to create adjusted odds ratios (ORs) for 30-day hospital  readmission. Subgroup analysis was performed based on  disease type and performance of surgery.&lt;/p&gt; &lt;p&gt;Results: We  analyzed a total of 55,942 index hospital discharges; 3037  patients (7.0%) were readmitted to the hospital within 30  days. Increasing patient age (&gt; 65: OR: 0.45; 95% CI  0.39–0.53) was associated with a decreased risk of  readmission, while a diagnosis of Crohn’s disease (OR:  1.09; 95% CI 1.00–1.18) and male sex (OR: 1.16; 95% CI  1.07–1.25) were associated with an increased risk of  readmission. The comorbidities of smoking (OR: 1.09; 95% CI  1.00–1.19), anxiety (OR: 1.17; 95% CI 1.01–1.36) and opioid  dependence (OR: 1.40; 95% CI 1.06–1.86) were associated  with an increased risk of 30-day readmission. Individual  hospitalization characteristics and disease complications  were significantly associated with readmission. Performance  of a surgery during the index admission was associated with  a decreased risk of readmission (OR: 0.57; 95% CI  0.33–0.96).&lt;/p&gt; &lt;p&gt;Conclusion: Analyzing data from a US  publicly available all-payer inpatient healthcare database,  we identified patient and hospitalization risk factors  associated with 30-day readmission. Identifying patients at  high risk for readmission may allow for interventions  during or after the index hospitalization to decrease this  risk.&lt;/p&gt;},
      url = {http://knowledge.uchicago.edu/record/6593},
}