Evidence map›Paper›PMID 34110539›Full record

ArticleDigestive diseases and sciences2022

Patient-Reported Outcomes and Risk of Hospitalization and Readmission in Patients with Inflammatory Bowel Diseases.

Nghia H Nguyen, Xian Zhang, Millie D Long, William J Sandborn, Michael D Kappelman, Siddharth Singh

Open access · greenAbstract read
In one paragraph

Article in Digestive diseases and sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Nghia H NguyenDivision of Gastroenterology, Department of Medicine, University of California San Diego, 9452 Medical Center Dr., ACTRI 1W501, La Jolla, CA, 92093, USA.
Xian ZhangDivision of Gastroenterology and Hepatology, University of North Carolina At Chapel Hill, Chapel Hill, NC, USA.
Millie D LongDivision of Gastroenterology and Hepatology, University of North Carolina At Chapel Hill, Chapel Hill, NC, USA.
William J SandbornDivision of Gastroenterology, Department of Medicine, University of California San Diego, 9452 Medical Center Dr., ACTRI 1W501, La Jolla, CA, 92093, USA.
Michael D KappelmanDivision of Gastroenterology and Hepatology, University of North Carolina At Chapel Hill, Chapel Hill, NC, USA.
Siddharth SinghDivision of Gastroenterology, Department of Medicine, University of California San Diego, 9452 Medical Center Dr., ACTRI 1W501, La Jolla, CA, 92093, USA. sis040@ucsd.edu.ORCID 0000-0002-2640-7269
University of California San Diego · USUniversity of North Carolina at Chapel Hill · US

Funding

San Diego Digestive Diseases Research CenterP30DK120515 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Tatiana Kisseleva · 2019 to 2026
$10.8M
San Diego Biomedical Informatics Education & Research (SABER)T15LM011271 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHAMIM NEMATI · 2012 to 2026
$9.7M
Training Grant in GastroenterologyT32DK007202 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GHOSH, PRADIPTA · 1985 to 2022
$7.7M
Comparative Risks and Benefits of Pharmacological Therapies for Older Patients with Inflammatory Bowel DiseasesK23DK117058 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SINGH, SIDDHARTH · 2018 to 2022
$971k
Predicting Short- and Long-term Risk of Serious Infections in Older Patients with Inflammatory Bowel DiseasesR03DK129631 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SINGH, SIDDHARTH · 2021 to 2022
$203k
NIDDK NIH HHS K23 DK117058NIDDK NIH HHS P30 DK120515NIDDK NIH HHS R03 DK129631NIDDK NIH HHS T32 DK007202NLM NIH HHS T15 LM011271
6 · The paper itself

Abstract

BACKGROUND AND

aimsPatient-reported outcome measures (PROMs) provide a wholesome view of patient well-being. We conducted a retrospective cohort study to evaluate whether PROMs inform risk of unplanned healthcare utilization in patients with IBD.

methodsWe identified adult patients with IBD who completed at least two surveys in a large Internet-based cohort within 1 year. We evaluated the association between baseline patient characteristics, disease activity indices, medication use, and PROMs, assessed using NIH Patient-Reported Outcome Measurement Information System (PROMIS) and subsequent risk of incident hospitalization (at time of first follow-up) within 1 year, and readmission within 1 year (in patients with hospitalization at first follow-up), using multivariable logistic regression.

resultsOf 7902 patients with IBD (45.5 year, 72% females, 63% Crohn's disease), 1377 (17.4%) were hospitalized within 1 year. Among PROMs, pain interference (adjusted OR per 5-point increase in PROMIS, 1.09; 95% CI 1.05-1.14), but not depression, anxiety, fatigue or sleep disturbance, was predictive of higher risk of hospitalization. Prior surgery or hospitalization, symptomatic disease, biologic, and corticosteroid use were also associated with higher risk of hospitalization. Of 521 patients hospitalized with IBD, 133 (25.5%) were readmitted within 1 year. Anxiety and pain interference were predictive of higher risk of readmission, whereas depression was associated with lower risk of readmission.

conclusionsIn a large Internet-based cohort study, PROMs may have a modest effect on modifying risk of unplanned healthcare utilization in patients with IBD, with pain interference being most consistently associated with increased risk of hospitalization and readmission.

Indexed as

Inflammatory Bowel DiseasesPatient ReadmissionAdultCohort StudiesFemaleHospitalizationHumansMalePainPatient Reported Outcome MeasuresRetrospective StudiesAdverse outcomesPatient-reported outcomesPopulation health managementPredictionUlcerative colitis

Identifiers

PMID34110539
PMCPMC8986995
OpenAlexW3167718194

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.