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. 2022 Feb 28;37(5):878–882. doi: 10.1111/jgh.15804

Outcomes for upper gastrointestinal bleeding during the first wave of the COVID‐19 pandemic in the Toronto area

Rishad Khan 1, Sudipta Saha 2, Nikko Gimpaya 3, Rishi Bansal 3, Michael A Scaffidi 3, Fahad Razak 1,2,4, , Amol A Verma 1,2,4, , Samir C Grover 1,2,3, ,
PMCID: PMC9115050  PMID: 35174540

Abstract

Background and Aim

Changes to endoscopy service availability during the COVID‐19 pandemic may have affected management of upper gastrointestinal bleeding (UGIB). The aim of this study was to describe the impact of the pandemic on UGIB outcomes in the Toronto area in Canada.

Methods

We described all adults admitted to general medicine wards or intensive care units at six hospitals in Toronto and Mississauga, Canada, with UGIB during the first wave of the COVID‐19 pandemic (March 1 to June 30, 2020) and compared them with a historical cohort (March 1 to June 30, 2018 and 2019). We compared clinical outcomes (in‐hospital mortality, length of stay, 30‐day readmission, intensive care utilization, receipt of endoscopy, persistent bleeding, receipt of second endoscopy, and need for angiographic or surgical intervention) using multivariable regression models, controlling for demographics, comorbidities, and severity of clinical presentation.

Results

There were 82.5 and 215.5 admissions per month for UGIB during the COVID‐19 and control periods, respectively. There were no baseline differences between groups for demographic characteristics, comorbidities, or severity of bleeding. Patients in the COVID‐19 group did not have significantly different unadjusted (3.9% vs 4.2%, P = 0.983) or adjusted mortality (adjusted odds ratio [OR] = 0.64, 95% confidence interval [CI] = 0.25–1.48, P = 0.322). Patients in COVID‐19 group were less likely to receive endoscopy for UGIB in the unadjusted (61.8% vs 71.0%, P = 0.003) and adjusted (adjusted OR = 0.64, 95% CI = 0.49–0.84, P < 0.01) models. There were no differences between groups for other secondary outcomes.

Conclusions

While patients admitted for UGIB during the first wave of the pandemic were less likely to receive endoscopy, this had no impact on mortality or any secondary outcomes.

Keywords: COVID‐19, endoscopy, gastrointestinal hemorrhage

Introduction

The COVID‐19 pandemic has required large‐scale reorganization of hospital resources and procedures worldwide. While acute upper gastrointestinal bleeding (UGIB) remains a common emergency and carries high morbidity and mortality risk, 1 , 2 , 3 the pandemic has created unique challenges for management of UGIB. 4 , 5 The impact of the first wave of COVID‐19 on UGIB care and outcomes is not well described.

As upper endoscopy is an aerosol‐generating procedure, 6 several gastroenterology societies initially recommended reducing direct patient contact by inpatient services, 7 with many endoscopy units shutting down a large part of their operations. 8 Shortages of personal protective equipment may have also made physicians hesitant to perform endoscopy. 9 International studies have reported reductions in endoscopy volume during the initial stages of the pandemic. 10 , 11 , 12 , 13 , 14

Endoscopic procedures performed during the pandemic have found higher than expected rates of gastrointestinal bleeding and malignancy, 15 suggesting that patients may have delayed or avoided presenting to hospital for medical issues. 16 To explore the impact of the COVID‐19 pandemic on the characteristics and outcomes of patients with UGIB, we conducted a retrospective observational study across several tertiary care hospitals.

Methods

We conducted this retrospective cohort study of patients using data from six hospitals in the Greater Toronto Area in Canada (five academic hospitals in Toronto and one community‐based teaching hospital in Mississauga) that participate in GEMINI. 17 In all of the included hospitals, patients with UGIB are routinely admitted under the general internal medicine (GIM) service or to the intensive care unit (ICU).

Study population

The study population included patients over 18 years admitted with UGIB from March 1 to June 30, 2020 (approximating the timing of the first wave of the COVID‐19 pandemic in Ontario), to a GIM ward or ICU from the emergency department. The historical control group included patients admitted with UGIB between March 1 to June 30, 2019, and March 1 to June 30, 2018. We identified cases of UGIB using the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes for the most responsible diagnosis identified in the emergency department. 18 The GEMINI database captured only patients who were admitted to or discharged from a GIM service. This captured all patients admitted with UGIB, but may have missed patients admitted with a different primary diagnosis who then developed UGIB in hospital and patients admitted for UGIB directly to ICU who either died in ICU or were transferred to a non‐GIM service.

Data collection

We collected clinical and administrative data from hospital information systems through GEMINI. 19 GEMINI data have 98–100% accuracy compared with manual review of medical records. 19 We collected patient demographics, comorbidities, hospital resource use, provision of endoscopy, interventional radiology‐guided or surgical treatment of bleeding, and outcomes including length of stay (LOS) and mortality as reported by the Canadian Institute for Health Information Discharge Abstract Database and the National Ambulatory Care Reporting System. We also collected data on etiology and severity of bleeding, vital signs, laboratory test results, blood transfusions, intensive care utilization, and persistent bleeding from hospital information systems.

Patient characteristics and severity of bleeding

We report patient age, sex, and prior comorbidities. We categorized comorbidities by identifying whether patients had underlying cirrhosis and their Charlson comorbidity index score. 20 To characterize the severity of the bleeding, we collected presenting heart rate, systolic blood pressure, and hemoglobin. We also calculated the pre‐endoscopy Rockall score (RS), which is based on age, heart rate, blood pressure, and the presence of comorbidities with particular emphasis on renal failure, liver failure, and disseminated malignancy. 21 This ordinal scale provides a score of 0 (0.2% of pre‐endoscopy mortality) to 7 (50% pre‐endoscopy mortality). 21 , 22

Outcomes

The primary outcome was in‐hospital mortality. Secondary outcomes were hospital LOS, 30‐day readmission, intensive care utilization, receipt of endoscopy, persistent bleeding, receipt of second endoscopy, and need for angiographic or surgical intervention. We defined persistent bleeding as a 20‐g/L drop in hemoglobin or a 5% decrease in hematocrit in a 24‐h time period, within 7 days following endoscopy. These modified criteria were adapted from consensus recommendations on UGIB trials 23 to allow for characterization of potentially persistent bleeding in the absence of data on clinical symptoms of melena and hematochezia.

Statistical analysis

We compared patient characteristics, presenting vitals, and severity of bleeding indices using standardized mean differences (SD), with SD of > 0.1 reflecting imbalance between groups. 24 We conducted unadjusted analyses to compare the COVID‐19 and control groups with χ 2 tests and Student's t‐tests (or Mann–Whitney U‐tests) for categorical and continuous variables, respectively. We then used multivariable regression models to compare the primary and secondary outcomes, adjusting for age, sex, Charlson comorbidity index, underlying cirrhosis, etiology of bleeding (variceal vs non‐variceal), pre‐endoscopy RS, and presenting hospital. These variables were chosen a priori and are independently associated with prognosis in UGIB. 21 , 25 , 26 One site did not have reliable data on vital signs, and this site was thus removed in the adjusted models. In‐hospital mortality, 30‐day readmission, receipt of endoscopy, persistent bleeding, receipt of second endoscopy, and need for angiographic or surgical intervention were modeled using logistic regression, while hospital LOS was modeled using negative binomial regression.

Results

The cohort included 82.5 admissions per month for UGIB during the COVID‐19 period (330 total UGIB admissions) and 215.5 admissions per month during the control period (862 total UGIB admissions). These represented 3.7% and 4.4% of all GIM patients admitted to these hospitals during the COVID‐19 (1224 total GIM patients) and control (3810 total GIM patients) periods, respectively.

Patient characteristics

Patients during the COVID‐19 period and control period had median ages of 70.0 (interquartile range [IQR] 56.0–82.0) and 70.0 (IQR 57.0–82.0), respectively. There were no differences between the COVID‐19 group and the control group with respect to sex, Charlson index score of 2 or more, or pre‐existing cirrhosis (Table 1). Severity and etiology did not differ significantly, with no differences in presenting mean hemoglobin level (in g/L), mean systolic blood pressure, presence of hypotension (systolic blood pressure of < 90 mmHg), mean heart rate, mean pre‐endoscopy RS, and variceal bleeding (Table 1).

Table 1.

Baseline characteristics

Characteristic

COVID‐19 time period

March 1 to July 31, 2020

Pre‐COVID‐19 time period

March 1 to July 31, 2018 and 2019

P‐value SMD
Age, median [IQR] 70 [56, 82] 70 [57, 82] 0.533 0.036
Sex—male (%) 208 (63) 513 (60) 0.296 0.072
First Hb (g/L), mean (SD) 94.8 (32.8) 98.0 (31.8) 0.115 0.101
First SBP (mmHg), mean (SD) 127.3 (22.9) 125.2 (22.5) 0.203 0.092
First SBP < 90 mmHg (%) < 5 24 (3) 0.208 0.116
First heart rate (b.p.m.), mean (SD) 82 (15) 83 (18) 0.195 0.096
Cirrhosis (%) 46 (14.0) 105 (12.2) 0.472 0.052
Charlson index 2+ (%) 142 (43.0) 333 (38.6) 0.186 0.090
Variceal bleed (%) 28 (8.5) 61 (7.1) 0.481 0.053
Pre‐endoscopy Rockall score, mean (SD) 1.9 (1.3) 2.0 (1.3) 0.386 0.063

Cells with five or fewer observations are censored to reduce the risk of patient reidentification.

Hb, hemoglobin; IQR, interquartile range; SBP, systolic blood pressure; SD, standard deviation; SMD, standardized mean difference.

Mortality, length of stay, and readmission

For the primary outcome of in‐hospital mortality, patients in the COVID‐19 group did not have significantly different unadjusted (3.9% vs 4.2%, P = 0.983) or adjusted outcomes (adjusted odds ratio [OR] = 0.64, 95% confidence interval [CI] = 0.25–1.48, P = 0.322) compared with the control group (Tables 2,3). There was no difference between groups for hospital LOS (unadjusted median 3.76 days [IQR 2.17–6.40] vs 3.78 days [IQR 2.16–6.83], P = 0.494; adjusted rate ratio = 0.89, 95% CI = 0.79–1.01, P = 0.062) or 30‐day readmission rates (unadjusted 13.5% vs 15.5%, P = 0.454; unadjusted OR = 1.04, 95% CI = 0.68–1.58).

Table 2.

Unadjusted clinical outcomes for patients admitted with UGIB during the COVID‐19 and control time periods

Outcome

COVID‐19 time period

March 1 to July 31, 2020

Pre‐COVID‐19 time period

March 1 to July 31, 2018 and 2019

P‐value
In‐hospital mortality (%) 13 (3.9) 36 (4.2) 0.983
Length of stay (days), median [IQR] 3.8 [2.2, 6.4] 3.8 [2.2, 6.8] 0.494
Admitted to ICU (%) 35 (10.6) 110 (12.8) 0.358
30‐day readmission (%) 42 (13.5) 126 (15.5) 0.454
Received endoscopy (%) 204 (61.8) 612 (71.0) 0.003
Total units of blood transfused, median [IQR] 1.0 [0.0, 2.0] 0.0 [0.0, 2.0] 0.575
Persistent bleeding (%) 33 (10.0) 92 (10.7) 0.815
Received second endoscopy (%) 25 (7.6) 104 (12.1) 0.033
Angiographic/surgical intervention (%) 8 (2.4) 16 (1.9) 0.693

ICU, intensive care unit; IQR, interquartile range; UGIB, upper gastrointestinal bleeding.

Table 3.

Clinical outcomes for patients with UGIB before and after multivariable adjustment

Outcome Unadjusted effect (95% CI) Adjusted effect (95% CI)
In‐hospital mortality 0.93 (0.47–1.75) 0.64 (0.25–1.48)
Length of stay (days) 0.86 (0.77–0.97) 0.89 (0.79–1.01)
Admitted to ICU 0.84 (0.55–1.25) 0.72 (0.42–1.20)
30‐day readmission 0.89 (0.6–1.30) 1.04 (0.68–1.58)
Received endoscopy 0.66 (0.50–0.86) 0.64 (0.49–0.84)
Total units of blood transfused 1.03 (0.76–1.39) 1.2 (0.91–1.59)
Persistent bleeding 0.92 (0.60–1.39) 0.84 (0.51–1.36)
Received second endoscopy 0.62 (0.38–0.97) 0.65 (0.39–1.05)
Angiographic/surgical intervention 1.33 (0.53–3.08) 1.32 (0.45–3.51)

Adjustment for age, sex, Charlson comorbidity index, underlying cirrhosis, etiology of bleeding (variceal vs non‐variceal), pre‐endoscopy RS, and presenting hospital.

CI, confidence interval; ICU, intensive care unit; RS, Rockall score; UGIB, upper gastrointestinal bleeding.

Hospital resource utilization

Patients in the COVID‐19 group, compared with the control group, were less likely to receive endoscopy for UGIB in the unadjusted (61.8% vs 71.0%, P = 0.003) and adjusted (adjusted OR = 0.64, 95% CI = 0.49–0.84, P < 0.01) models. Patients were less likely to undergo a second endoscopy in the unadjusted (7.6% vs 12.1%, P = 0.033) but not in adjusted model (adjusted OR = 0.65, 95% CI = 0.39–1.05, P = 0.087), with no differences in persistent bleeding (unadjusted 10.0% vs 10.7% and adjusted OR 0.84, 95% CI = 0.51–1.36, P = 0.496).

There were no significant differences between groups in the unadjusted or adjusted models for the outcomes of intensive care utilization, intensive care LOS, red blood cell transfusion requirements, and need for angiographic or surgical intervention (Tables 2,3).

Discussion

We found no difference in mortality for patients admitted with UGIB during the first wave of the COVID‐19 pandemic to six hospitals in the Greater Toronto Area in Canada, compared with a historical control group from 2018 and 2019. While patients admitted during the first wave were less likely to undergo endoscopy for their UGIB during their admission, they did not experience worse outcomes for mortality, LOS, readmission rate, persistent bleeding, intensive care utilization, transfusion requirements, or angiographic/surgical intervention.

Our findings are consistent with previous reports from New York City and Hong Kong with no change in mortality for UGIB during the pandemic. 27 , 28 Another recent report from the UK on UGIB during a COVID‐19 wave found reduced 30‐day survival in nine London teaching hospitals. 29 This study, however, was limited by only including patients who underwent endoscopy and thus does not represent all patients with UGIB who are admitted to hospital. As patients who underwent endoscopy during the pandemic were likely those with higher risk presentations, it is possible that the mortality difference found in the London study represents inherent differences between study groups. 29

One notable finding was that there were fewer presentations per month for UGIB during the first wave of the pandemic compared with prior years, similar to previous studies in Xingtai City, New York City, London, and Hong Kong. 27 , 28 , 29 , 30 The percentage of patients with UGIB of all GIM and ICU admissions in our study was not meaningfully different between the COVID‐19 and control groups. This supports the notion that patients with a variety of illnesses, including UGIB, avoided hospital presentation during the pandemic. 31 , 32 Our finding of patients admitted during the COVID‐19 period being less likely to under endoscopy is also in keeping with prior reports. 28 , 30 We also found that patients in the study period were less likely to undergo second endoscopy in the unadjusted model. We did not, however, find this difference in the adjusted model, suggesting that the absolute difference was due to our a priori selected adjustment variables.

The strength of this study is the use of multivariate models and a comprehensive general medical database that captures variables known to affect UGIB outcomes. 19 Additionally, we evaluated objective and clinically relevant outcomes such as mortality, LOS, and intensive care utilization. There are several limitations. First, we lacked granular data on interventions used during endoscopy. Second, we focused on large urban hospitals that may not represent the spectrum of health centers to which patients present with UGIB. Third, this study was retrospective, though data used for this study are collected and maintained in a rigorous and standardized manner. Finally, we did not capture the subset of patients who were admitted to ICU and died there or were transferred to a non‐GIM service.

In the Greater Toronto Area, there was substantial restructuring of inpatient medical services and redeployment of healthcare workers to care for patients with COVID‐19. While there was strain on resources and staffing that may have affected the ability to deliver patient care, the finding that survival from UGIB did not fall below the accepted 90% standard 33 during the first wave in our study hospitals is reassuring. UGIB outcomes should continually be assessed during the course of the pandemic to ensure that raising the threshold for inpatient endoscopy is being performed so safely.

Khan, R. , Saha, S. , Gimpaya, N. , Bansal, R. , Scaffidi, M. A. , Razak, F. , Verma, A. A. , and Grover, S. C. (2022) Outcomes for upper gastrointestinal bleeding during the first wave of the COVID‐19 pandemic in the Toronto area. Journal of Gastroenterology and Hepatology, 37: 878–882. 10.1111/jgh.15804.

Declaration of conflict of interest: Rishad Khan has received research grants from AbbVie and Ferring Pharmaceuticals and research funding from Pendopharm. Samir C Grover has received research grants and personal fees from AbbVie and Ferring Pharmaceuticals, personal fees from Takeda, education grants from Janssen, and has equity in Volo Healthcare. All other authors have no relevant disclosures.

Financial support: This study was supported by St. Michael's Hospital Foundation Association Innovation Fund Award (SMH‐20‐034).

References

  • 1. del Olmo JA, Peña A, Serra MA, Wassel AH, Benages A, Rodrigo JM. Predictors of morbidity and mortality after the first episode of upper gastrointestinal bleeding in liver cirrhosis. J. Hepatol. 2000; 32: 19–24. [DOI] [PubMed] [Google Scholar]
  • 2. El‐Tawil AM. Trends on gastrointestinal bleeding and mortality: where are we standing? World J Gastroenterol: WJG 2012; 18: 1154–1158. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Button L, Roberts S, Evans P et al. Hospitalized incidence and case fatality for upper gastrointestinal bleeding from 1999 to 2007: a record linkage study. Aliment. Pharmacol. Ther. 2011; 33: 64–76. [DOI] [PubMed] [Google Scholar]
  • 4. Aguila EJT, Cua IHY, Raymundo NTV. The dilemma in the management of gastrointestinal bleeding during the COVID‐19 pandemic. Gastroenterology 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Sethi A, Swaminath A, Latorre M, Behin DS, Jodorkovsky D, Calo D et al. Donning a new approach to the practice of gastroenterology: perspectives from the COVID‐19 pandemic epicenter. Clin. Gastroenterol. Hepatol. 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Sagami R, Nishikiori H, Sato T et al. Aerosols produced by upper gastrointestinal endoscopy: a quantitative evaluation. Am. J. Gastroenterol. 2021; 116: 202–205. [DOI] [PubMed] [Google Scholar]
  • 7. Castro Filho EC, Castro R, Fernandes FF, Pereira G, Perazzo H. Gastrointestinal endoscopy during the COVID‐19 pandemic: an updated review of guidelines and statements from international and national societies. Gastrointest. Endosc. 2020; 92: 440–445.e6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Repici A, Pace F, Gabbiadini R, Colombo M, Hassan C, Dinelli M et al. Endoscopy units and the coronavirus disease 2019 outbreak: a multicenter experience from Italy. Gastroenterology 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Park C‐Y, Kim K, Roth S. Global Shortage of Personal Protective Equipment amid COVID‐19: Supply Chains, Bottlenecks, and Policy Implications. Asian Development Bank, 2020. [Google Scholar]
  • 10. Schmiderer A, Schwaighofer H, Niederreiter L, Profanter C, Steinle H, Ziachehabi A, Tilg H. Decline in acute upper gastrointestinal bleeding during COVID‐19 pandemic after initiation of lockdown in Austria. Endoscopy 2020; 52: 1036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Lui TK, Leung K, Guo C‐G, Tsui VW, Wu JT, Leung WK. Impacts of the coronavirus 2019 pandemic on gastrointestinal endoscopy volume and diagnosis of gastric and colorectal cancers: a population‐based study. Gastroenterology 2020; 159: 1164–1166.e3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Parasa S, Reddy N, Faigel DO, Repici A, Emura F, Sharma P. Global impact of the COVID‐19 pandemic on endoscopy: an international survey of 252 centers from 55 countries. Gastroenterology 2020; 159: 1579–1581.e5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Lau LH, Wong SH, Yip TC, Wong GL, Wong VW, Sung JJ. Collateral effect of coronavirus disease 2019 pandemic on hospitalizations and clinical outcomes in gastrointestinal and liver diseases: a territory‐wide observational study in Hong Kong. Gastroenterology 2020; 159: 1979–1981.e3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Crespo J, Fernández Carrillo C, Iruzubieta P, Hernández‐Conde M, Rasines L, Jorquera F et al. Massive impact of coronavirus disease 2019 pandemic on gastroenterology and hepatology departments and doctors in Spain. J. Gastroenterol. Hepatol. 2021; 36: 1627–1633. [DOI] [PubMed] [Google Scholar]
  • 15. Annadurai V, Blackett JW, Freedberg D, Hur C, Green PH, Lebwohl B. Characteristics and outcomes of endoscopies before and during the COVID‐19 pandemic in New York. Dig. Dis. 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Armellini E, Repici A, Alvisi C, Dinelli M, Gambitta P, Manes G et al. Analysis of patients attitude to undergo urgent endoscopic procedures during COVID‐19 outbreak in Italy. Dig. Liver Dis. 2020; 52: 695–699. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Verma AA, Guo Y, Kwan JL, Lapointe‐Shaw L, Rawal S, Tang T et al. Patient characteristics, resource use and outcomes associated with general internal medicine hospital care: the General Medicine Inpatient Initiative (GEMINI) retrospective cohort study. CMAJ Open 2017; 5: E842. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. World Health Organization . ICD‐10: International Statistical Classification of Diseases and Related Health Problems—Tenth Revision. Volume 1: Tabular List. World Health Organization, 2004. [Google Scholar]
  • 19. Verma AA, Pasricha SV, Jung HY et al. Assessing the quality of clinical and administrative data extracted from hospitals: the General Medicine Inpatient Initiative (GEMINI) experience. J. Am. Med. Inform. Assoc. 2021; 28: 578–587. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Charlson M, Szatrowski TP, Peterson J, Gold J. Validation of a combined comorbidity index. J. Clin. Epidemiol. 1994; 47: 1245–1251. [DOI] [PubMed] [Google Scholar]
  • 21. Rockall T, Logan R, Devlin H, Northfield T. Risk assessment after acute upper gastrointestinal haemorrhage. Gut 1996; 38: 316–321. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Vreeburg E, Terwee C, Snel P, Rauws E, Bartelsman J, Meulen JH, Tytgat GN. Validation of the Rockall risk scoring system in upper gastrointestinal bleeding. Gut 1999; 44: 331–335. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Laine L, Spiegel B, Rostom A et al. Methodology for randomized trials of patients with nonvariceal upper gastrointestinal bleeding: recommendations from an international consensus conference. Am. J. Gastroenterol. 2010; 105: 540–550. [DOI] [PubMed] [Google Scholar]
  • 24. Austin PC. Using the standardized difference to compare the prevalence of a binary variable between two groups in observational research. Commun. Stat. ‐ Simul. Comput. 2009; 38: 1228–1234. [Google Scholar]
  • 25. Roberts SE, Button LA, Williams JG. Prognosis following upper gastrointestinal bleeding. PLoS ONE 2012; 7: e49507. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Lahiff C, Shields W, Cretu I et al. Upper gastrointestinal bleeding: predictors of risk in a mixed patient group including variceal and nonvariceal haemorrhage. Eur. J. Gastroenterol. Hepatol. 2012; 24: 149–154. [DOI] [PubMed] [Google Scholar]
  • 27. Kim J, Doyle JB, Blackett JW, May B, Hur C, Lebwohl B, HIRE study group . Effect of the coronavirus 2019 pandemic on outcomes for patients admitted with gastrointestinal bleeding in New York City. Gastroenterology 2020; 159: 1155–1157.e1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Lui TKL, Tsui VWM, Leung WK. Impact of first wave of COVID‐19 on outcomes of hospitalization for upper gastrointestinal bleeding in Hong Kong: a population‐based study. Endosc. Int. Open. 2021; 09: E284–E288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Tavabie OD, Clough JN, Blackwell J et al. Reduced survival after upper gastrointestinal bleed endoscopy in the COVID‐19 era is a secondary effect of the response to the global pandemic: a retrospective cohort study. Frontline Gastroenterol. 2021; 12: 279–287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Duan Z, Duan Q, Liu K, Zhang X, Zhou S, on behalf of Xingtai Society of Digestive Endoscopy . Impact of the COVID‐19 pandemic on acute upper gastrointestinal bleeding in Xingtai City. Triantafyllou K. Gastroenterol. Res. Pract. 2021. 6;2021:1–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Jeffery MM, D'Onofrio G, Paek H et al. Trends in emergency department visits and hospital admissions in health care systems in 5 states in the first months of the COVID‐19 pandemic in the US. JAMA Intern. Med. 2020; 180: 1328–1333. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. de Filippo O, D'Ascenzo F, Angelini F et al. Reduced rate of hospital admissions for ACS during Covid‐19 outbreak in Northern Italy. N. Engl. J. Med. 2020; 383: 88–89. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Hearnshaw SA, Logan RF, Lowe D, Travis SP, Murphy MF, Palmer KR. Acute upper gastrointestinal bleeding in the UK: patient characteristics, diagnoses and outcomes in the 2007 UK audit. Gut 2011; 60: 1327–1335. [DOI] [PubMed] [Google Scholar]

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