| Literature DB >> 35592829 |
Sumana Reddy1, Beyla Patel2, Luke Baldelli3, Rajiv T Majithia4, Michael K Dougherty3,4.
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.Entities:
Keywords: GI bleed; SARS-CoV-2 lockdown; collateral damage; health disparities
Year: 2022 PMID: 35592829 PMCID: PMC9112516 DOI: 10.2147/CEG.S348574
Source DB: PubMed Journal: Clin Exp Gastroenterol ISSN: 1178-7023
Figure 1Difference in ED visits for GI bleed during a 6-week period of COVID-19 lockdown and the corresponding period from 2019.
Clinical Characteristics of Gastrointestinal Bleeding Patients Presenting to the Emergency Department Between March 27 and May 7 in 2019 and 2020
| 2019, N (%) | 2020, N (%) | p-value | |
|---|---|---|---|
| 904 | 534 | ||
| Source of GI bleeding (presumed or confirmed)a | |||
| Upper | 313 (34.6%) | 209 (39.1%) | 0.09 |
| Variceal | 25 (8.0%) | 13 (6.2%) | 0.45 |
| Non-variceal | 288 (92.0%) | 192 (91.9%) | 0.95 |
| Lower | 361 (39.9%) | 201 (37.6%) | 0.39 |
| Small bowel | 16 (1.8%) | 16 (3.0%) | 0.13 |
| Peristomal or pancreaticobiliary | 2 (0.2%) | 2 (0.4%) | 0.59 |
| Obscure (but presumed GI) | 147 (16.3%) | 98 (18.4%) | 0.31 |
| Non-GI source | 14 (1.5%) | 11 (2.1%) | 0.47 |
| Mean minimum systolic blood pressure per ED stayb | 109.7 (108.2–111.2) | 107.8 (105.8–109.9) | 0.14 |
| Any systolic blood pressure <90b | 155 (17.2%) | 116 (21.8%) | 0.03 |
| Mean maximum lactate (arterial or venous) per ED stayb | 2.59 (2.30–2.88) | 3.45 (2.96–3.95) | 0.002 |
| Any lactate ≥4.0b | 40 (14.8%) | 46 (23.6%) | 0.02 |
| Mean maximum hemoglobin per ED stayb | 10.4 (10.2–10.6) | 9.9 (9.6–10.1) | 0.002 |
| Any hemoglobin <7.0b | 153 (17.6%) | 127 (24.3%) | 0.003 |
| Mean maximum creatinine per ED stayb | 1.48 (1.37–1.58) | 1.64 (1.48–1.80) | 0.08 |
| mGBS | 7.79 (N = 359) | 8.85 (N = 258) | 0.005 |
| mGBS≥6 | 233 (N = 359) | 193 (N = 258) | 0.009 |
Notes: aThe source of bleeding is the source presumed at hospital discharge. This is generally after endoscopic or imaging evaluation when these were performed, but otherwise clinically determined (eg hemodynamically stable hematochezia discharged home from the ED was categorized as lower gastrointestinal bleeding, and any blood in emesis upper, etc.). If the patient was admitted for concern for GI bleed but the bleed was eventually determined to not be GI-related, this was listed as such. Multiple sources could be noted (usually small bowel angioectasias with gastric angioectasias or other gastric source). Obscure/unknown was favored over small bowel unless at least a prior study had shown a small bowel source, and the current admission presumed to be from same. In cirrhotic patients with non-massive hematemesis that did not have endoscopy, neither variceal nor non-variceal were marked. Not all sources were abstracted from ED visits without inpatient admission. bVital sign and laboratory values only collected for the first 24 hours after arrival or until admission from ED to hospital. Continuous variables reported as means with 95% confidence intervals.
Abbreviations: CI, confidence interval; GI, gastrointestinal; ED, emergency department; COVID, coronavirus disease 2019; mGBS, modified Glasgow-Blatchford Score.
Figure 2Difference in severe GI bleeds during a 6-week period of COVID-19 lockdown and the corresponding period from 2019.
Figure 3Interactions of race/ethnicity with COVID-19 period for clinical outcomes (inpatient admission, severe GI bleed, shock, ICU admission).
Interactions of Race and Ethnicity with COVID Period and Counts for Clinical Outcomes
| March 27-May 7, 2019 | March 27-May 7, 2020 (COVID period) | P-value for Interactiona | |
|---|---|---|---|
| Race/ethnicity | 0.09 (for non-white race) | ||
| Non-Hispanic White | 217 | 133 | 1.0 |
| Black | 97 | 50 | 0.06 |
| Hispanic/Latino | 15 | 5 | 0.19 |
| Race/ethnicity | 0.45 (for non-white race) | ||
| Non-Hispanic White | 94 | 65 | 1.0 |
| Black | 30 | 26 | 0.76 |
| Hispanic/Latino | 7 | 7 | 0.41 |
| Race/ethnicity | 0.01 (for non-white race) | ||
| Non-Hispanic White | 135 | 82 | 1.0 |
| Black | 52 | 52 | 0.07 |
| Hispanic/Latino | 5 | 8 | 0.06 |
| Race/ethnicity | 0.01 (for non-white race) | ||
| Non-Hispanic White | 102 | 57 | 1.0 |
| Black | 29 | 32 | 0.05 |
| Hispanic/Latino | 2 | 5 | 0.06 |
| Race/ethnicity | 0.71 (for non-white race) | ||
| Non-Hispanic White | 221 | 162 | 1.0 |
| Black | 83 | 65 | 0.56 |
| Hispanic/Latino | 8 | 13 | 0.04 |
| Race/ethnicity | 0.13 (for non-white race) | ||
| Non-Hispanic White | 62 | 41 | 1.0 |
| Black | 16 | 18 | 0.30 |
| Hispanic/Latino | 2 | 6 | 0.05 |
| Race/ethnicity | 0.03 (for non-white race) | ||
| Non-Hispanic White | 28 | 19 | 1.0 |
| Black | 7 | 16 | 0.02 |
| Hispanic/Latino | 1 | 1 | 0.95 |
| Race/ethnicity | 0.02 (for non-white race) | ||
| Non-Hispanic White | 28 | 23 | 1.0 |
| Black | 8 | 18 | 0.04 |
| Hispanic/Latino | 2 | 1 | 0.47 |
| Race/ethnicity | 0.46 (for non-white race) | ||
| Non-Hispanic White | 36 | 31 | 1.0 |
| Black | 15 | 19 | 0.38 |
| Hispanic/Latino | 1 | 1 | 0.90 |
Notes: aP-value for interaction of race with year derived from multivariable logistic regression without adjustment for additional covariates, given the small number of events for each minority. The p-values for the interaction terms on the first line of each outcome are for the binary “Non-Hispanic white vs non-white or Hispanic” race/ethnicity classification, derived from a model also adjusted for age and sex. This model also includes non-black, non-Hispanic minorities, but these were not included as a separate row in the table due to very small numbers.