Acute Variceal Bleeding During the SARS-CoV-2 Pandemic: A National Multicenter Observational Study
Abstract
1. Introduction
2. Materials and Methods
2.1. Endpoints and Definitions
2.2. Treatment
2.3. Data Collection
2.4. Statistical Analysis
2.5. Ethical Approval
3. Results
4. Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Variables | Total | Pre-COVID-19 Era (01.03.2016–28.02.2020) | COVID-19 Era (01.03.2020–28.02.2022) | p-Value |
---|---|---|---|---|
Cases (%) | 247 (100) | 151 (61.1) | 96 (38.9) | |
Men (%) | 179 (73.4) | 109 (72.2) | 70 (75.3) | 0.656 |
Age (years, IQR) | 57 (IQR 49–64) | 58 (49–65) | 56 (51–62) | 0.566 |
Clinical sign of bleeding (%) | ||||
Hematemesis | 165 (67.1) | 100 (66.7) | 65 (67.7) | 0.89 |
Melena | 110 (44.9) | 68 (45.6) | 42 (43.8) | 0.794 |
Hematochezia | 21 (8.5) | 14 (9.3) | 7 (7.3) | 0.646 |
Syncope | 26 (10.5) | 17 (11.3) | 9 (9.4) | 0.677 |
Impaired mental status | 68 (27.6) | 38 (25.3) | 30 (31.3) | 0.381 |
Signs of shock | 113 (52.3) | 66 (51.6) | 47 (53.4) | 0.789 |
Charlson comorbidity index (IQR) | 4 (3–6) | 4 (3–6) | 4 (3–5) | 0.941 |
Active alcohol consumption (%) | 97 (42.2) | 61 (44.2) | 36 (39.1) | 0.496 |
Prior band ligation (%) | 74 (34.3) | 52 (37.7) | 22 (28.2) | 0.181 |
History of UGIB (%) | 99 (41.3) | 55 (37.3) | 44 (46.8) | 0.18 |
Medication (%) | ||||
Aspirin | 51 (21.1) | 25 (17.0) | 26 (27.4) | 0.075 |
Dual antiplatelet therapy | 10 (4.2) | 6 (4.2) | 4 (4.3) | 1.000 |
anticoagulants | 25 (10.6) | 16 (11.2) | 9 (9.7) | 0.705 |
Non-selective beta-blockers | 107 (45.0) | 61 (42.4) | 46 (48.9) | 0.352 |
Etiology of cirrhosis (%) | ||||
Alcohol-associated | 131 (54.1) | 85 (58.2) | 46 (47.9) | 0.147 |
Hepatitis C | 19 (7.9) | 13 (8.9) | 6 (6.3) | 0.626 |
Hepatitis B | 8 (3.3) | 3 (2.1) | 5 (5.2) | 0.271 |
MASLD | 19 (7.9) | 7 (4.8) | 12 (12.5) | 0.048 |
Autoimmune Hepatitis | 7 (2.9) | 3 (2.1) | 4 (4.2) | 0.44 |
PSC | 7 (2.9) | 4 (2.8) | 3 (2.9) | 0.684 |
PBC | 6 (2.5) | 2 (1.4) | 4 (1.7) | 0.218 |
Unknown | 22 (9.1) | 16 (11.0) | 6 (6.3) | 0.258 |
Laboratory (IQR) | ||||
Lactate [mmol/L] (n = 215) | 2.8 (1.7–4.7) | 2.8 (1.7–4.7) | 2.8 (1.7–4.5) | 0.817 |
Albumin [g/L] (n = 236) | 26 (22–31) | 25 (21–30) | 28 (24–33) | <0.001 |
Creatinine [mg/dL] (n = 245) | 1.1 (0.8–1.6) | 1.0 (0.8–1.6) | 1.2 (0.8–1.8) | 0.117 |
Bilirubin [mg/dL] (n = 244) | 2.3 (1.2–4.3) | 2 (1.0–4.1) | 2.7 (1.3–4.5) | 0.061 |
White blood cell count [×109/L] | 10.2 (7.1–15.7) | 10.4 (7.3–17.0) | 10.0 (7.0–15.4) | 0.507 |
Hemoglobin [g/dL] | 7.9 (6.8–9.7) | 8 (6.7–9.8) | 7.9 (6.9–9.5) | 0.892 |
Thrombocytes [×109/L] | 114 (68–170) | 124 (71–181) | 102 (56–145) | 0.014 |
Prothrombin time [%] | 48 (36–64) | 50 (40–66) | 45 (30–58) | 0.027 |
Ascites (according to CTP) | 0.943 | |||
Mild | 72 (30.1) | 44 (30.8) | 28 (29.2) | |
Severe | 72 (30.1) | 42 (29.4) | 30 (31.3) | |
CTP (n = 216) | 10 (8–12) | 10 (8–11) | 10 (8–12) | 0.328 |
MELD (n = 236) | 16 (13–23) | 16 (12–22) | 19 (12–26) | 0.06 |
Total | Pre-COVID-19 Era (01.03.2016–28.02.2020) | COVID-19 Era (01.03.2020–28.02.2022) | p-Value | |
---|---|---|---|---|
Blood transfusion (%) | 171 (70.7) | 110 (74.3) | 61 (64.9) | 0.147 |
TIPS after bleeding (%) | 39 (15.9) | 17 (11.3) | 22 (23.2) | 0.019 |
Rescue | 6 (15.4) | 3 (17.6) | 3 (13.6) | 1.000 |
Preemptive | 18 (46.2) | 8 (47.1) | 10 (45.5) | 1.000 |
Other indication | 14 (35.9) | 6 (35.3) | 8 (36.4) | 1.000 |
Surgery for hemostasis (%) | 2 (1.1) | 0 | 2 (2.6) | 0.163 |
Liver transplantation after bleeding (%) | 4 (1.6) | 1 (0.7) | 3 (3.1) | 0.302 |
Length of stay on the ICU (days) n = 209, IQR | 3 (2–8) | 3 (2–8) | 4 (2–8) | 0.917 |
Rebleeding within six weeks (%) | 54 (22.5) | 33 (22.3) | 21 (22.8) | 1.000 |
Death within six weeks (%) | 68 (30.9) | 40 (30.1) | 28 (32.2) | 0.767 |
Total | Pre-COVID-19 Era (01.03.2016–28.02.2020) | COVID-19 Era (01.03.2020–28.02.2022) | p-Value | |
---|---|---|---|---|
Infection at index bleeding (%) | 58 (23.5) | 36 (23.8) | 22 (22.9) | 0.867 |
Antibiotic prophylaxis (%) | 154 (84.6) | 89 (81.7) | 65 (89.0) | 0.176 |
Intubation during EGD (%) | 39 (16.0) | 24 (16.1) | 15 (16.0) | 1.000 |
Prophylactic intubation | 28 (11.5) | 19 (12.8) | 9 (9.5) | 0.538 |
Infection after bleeding (%) | 73 (30.3) | 39 (26.5) | 34 (36.2) | 0.112 |
Type of infection after bleeding (%) | ||||
Pneumonia | 27 (37.0) | 18 (46.2) | 9 (26.5) | 0.082 |
Spontaneous bacterial peritonitis | 11 (15.1) | 5 (12.8) | 6 (17.6) | 0.565 |
Urinary tract | 3 (4.1) | 2 (5.1) | 1 (2.9) | 0.639 |
Primary bacteremia | 11 (15.1) | 7 (17.9) | 4 (11.8) | 0.461 |
Soft tissue | 3 (4.1) | 1 (2.6) | 2 (5.9) | 0.476 |
Proven bacterial pathogen (%) | 42 (17.3) | 24 (16.1) | 18 (19.1) | 0.602 |
Proven MDR (%) | 17 (6.9) | 11 (7.3) | 6 (6.3) | 0.803 |
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Allo, G.; Quickert, S.; Große, K.; Baysal, S.; Nierhoff, D.; Neumann-Haefelin, C.; Schramm, C.; Bruns, T.; Reuken, P.A.; Bürger, M. Acute Variceal Bleeding During the SARS-CoV-2 Pandemic: A National Multicenter Observational Study. J. Clin. Med. 2025, 14, 6166. https://doi.org/10.3390/jcm14176166
Allo G, Quickert S, Große K, Baysal S, Nierhoff D, Neumann-Haefelin C, Schramm C, Bruns T, Reuken PA, Bürger M. Acute Variceal Bleeding During the SARS-CoV-2 Pandemic: A National Multicenter Observational Study. Journal of Clinical Medicine. 2025; 14(17):6166. https://doi.org/10.3390/jcm14176166
Chicago/Turabian StyleAllo, Gabriel, Stefanie Quickert, Karsten Große, Sidar Baysal, Dirk Nierhoff, Christoph Neumann-Haefelin, Christoph Schramm, Tony Bruns, Philipp Alexander Reuken, and Martin Bürger. 2025. "Acute Variceal Bleeding During the SARS-CoV-2 Pandemic: A National Multicenter Observational Study" Journal of Clinical Medicine 14, no. 17: 6166. https://doi.org/10.3390/jcm14176166
APA StyleAllo, G., Quickert, S., Große, K., Baysal, S., Nierhoff, D., Neumann-Haefelin, C., Schramm, C., Bruns, T., Reuken, P. A., & Bürger, M. (2025). Acute Variceal Bleeding During the SARS-CoV-2 Pandemic: A National Multicenter Observational Study. Journal of Clinical Medicine, 14(17), 6166. https://doi.org/10.3390/jcm14176166