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Record W3172477780 · doi:10.1093/ecco-jcc/jjab076.740

P620 Pivoting in a pandemic: The impact of COVID-19 on the provision of care for patients with Inflammatory Bowel Disease – A retrospective study

2021· article· en· W3172477780 on OpenAlexaffabout
G Malhi, John C. Chambers, Gurjot Minhas, Maria Mikail, Reena Khanna, Aze Wilson

Bibliographic record

VenueJournal of Crohn s and Colitis · 2021
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineInflammatory bowel diseasePandemicRetrospective cohort studyCohortOutbreakDiseaseCoronavirus disease 2019 (COVID-19)Health careYoung adultCohort studyPediatricsInternal medicineEmergency medicineInfectious disease (medical specialty)Virology

Abstract

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Abstract Background The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak, also known as COVID-19, initially began in a small cluster of patients in Wuhan, China and was declared a worldwide pandemic in March of 2020. Since the onset of the pandemic, the focus of many healthcare systems has shifted toward limiting non-essential visits to the hospital in order to prioritize and allocate resources toward treating those affected by COVID-19. While the effect of COVID-19 has been felt amongst many patient populations, those with Inflammatory Bowel Disease (IBD) have been particularly impacted. We aimed to determine how changes to the provision of IBD care due to the COVID-19 pandemic has affected IBD patients. Methods A retrospective cohort study was carried out in patients with an IBD diagnosis comparing patients admitted to two tertiary care centres affiliated with Western University in London, Canada between March 17 and August 31 2019 (2019 cohort or pre-pandemic), to patients admitted between March 17 and August 31 2020 (2020 cohort or pandemic). Patients were reviewed to assess any differences in care utilization and IBD-related outcomes such as hospitalization, need for surgery, length of stay in hospital and in-patient drug therapy during the defined time periods. Results A total of 863 patients were reviewed in 2019, and 554 in 2020. Of those, 184 (CD, n= 125; UC, n= 59) and 172 (CD, n= 109; UC, n= 62) encounters met the inclusion criteria for 2019 and 2020 respectively. Patient demographics were similar between 2019 and 2020 cohort with the exception of age (2019, mean age = 44.76 years ± 16.78; 2020, mean age=50.36 years ± 17.82, p=0.002). The length of stay in hospital was shorter in 2020 (6.88 days vs 9.63, p=0.045). Significantly fewer patients were initiated on Infliximab in hospital in 2020 (2020, 3.50 per month; 2019, 6.83 per month, p=0.001). Fewer in-patient surgeries were performed in 2020 (2019, 76; 2020, 57; p=0.112). Conclusion Preliminary data demonstrate during the COVID-19 pandemic there was a significant reduction in the length of stay for patients with IBD as well as fewer patients initiated on infliximab while in hospital. There was also a decrease in the number of surgeries performed in 2020. These differences may reflect an effort to minimize contact between patients and health care facilities as well as reduce the introduction of further immunosuppression. Further research will be to determine whether if more ER visits became hospitalizations and any delays in appointment times or endoscopies, or compliance issues with medications may have led to these aforementioned outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.363
Teacher spread0.338 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

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