128
Views
3
CrossRef citations to date
0
Altmetric
Original Research

Decreased Rate of Presentation, but Worsened Racial-Ethnic Disparity in Acute Gastrointestinal Bleeding During Coronavirus 2019 Shutdown: A Retrospective Cohort Study

, , , & ORCID Icon
Pages 67-77 | Published online: 10 May 2022
 

Abstract

Purpose

In spring 2020, Coronavirus Disease 2019 (COVID-19) “stay-at-home” orders may have led to later, more acute disease presentations of emergent conditions such as gastrointestinal bleeding (GIB). In this retrospective cohort study, we compared incidence and severity of GIB during the strictest COVID shutdown to pre-COVID periods.

Patients and methods

We compared weekly counts of emergency department (ED) visits for GIB between March 27 and May 7, 2020 (COVID period) and pre-COVID periods in 2019 and 2020 in a US statewide network of hospitals. We compared the severity of GIB presentations using incident rate ratios (IRR) of “severe” GIB (requiring ≥4 units of blood, endoscopic therapy, interventional radiology or surgical procedure), intensive care (ICU) admission and shock. We also looked for effect modification of demographic covariates on associations between year and GIB outcomes.

Results

Fewer patients presented to ED for GIB during COVID than during the same dates in 2019 (534 versus 904; IRR 0.59, 95% CI 0.53–0.66). A greater proportion of COVID-period ED visits required inpatient admission (73.6% vs 67.8%, p = 0.02) and had severe GIB (19.3% vs 14.9%, p = 0.03). Proportion of patients requiring transfusion (p < 0.001), with shock (p < 0.01), or with critical hemoglobin (p = 0.003) or lactate (p = 0.02) were worse during COVID. Non-white patients experienced disproportionately worse outcomes during COVID than in 2019, with greater absolute counts of shock (65 vs 62, p = 0.01 for interaction) or ICU admission (40 vs 35, p = 0.01 for interaction).

Conclusion

Fewer acute GIB presented during the pandemic period compared to the year prior. The severity of pandemic presentations was greater, driven by disproportionately worse outcomes in minorities.

Acknowledgments

We thank CDW-H analyst Samyuktha Nandhakumar for data extraction and processing, and Feng-Chang Lin, PhD for biostatistical consultation.

Disclosure

None of the authors have any conflicts of interest (financial, professional, or personal) relevant to this manuscript.

Additional information

Funding

This project was supported by the National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, through Grant Award Number UL1TR002489, grant #2KR1292002. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.