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Abstract
This study compares the odds of being admitted for inflammatory bowel disease (IBD) in patients with psoriasis compared with those without psoriasis alone. We also compared hospital outcomes of patients admitted primarily for IBD with and without a secondary diagnosis of psoriasis. Data were abstracted from the National Inpatient Sample (NIS) 2016 and 2017 database to search for hospitalizations of interest using International Classification of Diseases, 10th Revision codes. Multivariate logistic regression model was used to calculate the adjusted OR (AOR) of IBD being the principal diagnosis for hospitalizations with and without a secondary diagnosis of psoriasis. Multivariate logistic and linear regression analyses were used accordingly to compare outcomes of hospitalizations for IBD with and without secondary diagnosis of psoriasis. There were over 71 million discharges included in the combined 2016 and 2017 NIS database. Hospitalizations with a secondary diagnosis of psoriasis have an AOR of 2.66 (95% CI 2.40 to 2.96, p<0.0001) of IBD being the principal reason for hospitalization compared with hospitalizations without psoriasis as a secondary diagnosis. IBD hospitalizations with coexisting psoriasis have similar lengths of stay, hospital charges, need for blood transfusion, and similar likelihood of having a secondary discharge diagnosis of deep venous thrombosis, gastrointestinal bleed, sepsis, and acute kidney injury compared with those without coexisting psoriasis. Patients with coexisting psoriasis have almost three times the odds of being admitted for IBD compared with patients without psoriasis. Hospitalizations for IBD with coexisting psoriasis have similar hospital outcomes compared with those without coexisting psoriasis.
- psoriasis
- inflammatory bowel diseases
Data availability statement
Data are available in a public, open access repository. The Healthcare Cost and Utilization Project (HCUP) databases are limited data sets. HCUP databases conform to the definition of a limited data set. A limited data set is healthcare data in which 16 direct identifiers, specified in the privacy rule, have been removed.
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Data availability statement
Data are available in a public, open access repository. The Healthcare Cost and Utilization Project (HCUP) databases are limited data sets. HCUP databases conform to the definition of a limited data set. A limited data set is healthcare data in which 16 direct identifiers, specified in the privacy rule, have been removed.
Footnotes
Contributors EE and JA are credited with substantial contribution to the design of the work, acquisition and interpretation of the data, drafting the manuscript, revision of important intellectual content, final approval of the version published, and agreement of accountability for all aspects of the work. POE is credited with substantial contribution to interpretation of data, literature review of all sections discussed, drafting of the manuscript, final approval of the version published, and agreement of accountability for all aspects of the work. OAB and EE are credited with substantial contribution to acquisition, analysis, and interpretation of the data, revision of critically important intellectual content, final approval of the version to be published, and agreement of accountability for all aspects of the work. IA, AK, and SJ are credited with interpretation of the data, literature review of all sections, revision of important intellectual content, final approval of the version published, and agreement of accountability of all aspects of the work. AP is credited with interpretation of data, literature review, specifically for the discussion section, revision of the work for critically important intellectual content, final approval of the version published, and agreement of accountability for all aspects of the work.
Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests None declared.
Provenance and peer review Not commissioned; externally peer reviewed.
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