| Literature DB >> 35428894 |
Jessica Holland1, Michelle Cwintal1, Georgia Rigas1, Allison J Pang1, Carol-Ann Vasilevsky1, Nancy Morin1, Gabriela Ghitulescu1, Julio Faria1, Marylise Boutros2.
Abstract
PURPOSE: The COVID-19 pandemic resulted in a partial to total shutdown of endoscopy in many healthcare centers. This study aims to quantify the impact of the reduction in colonoscopies on colorectal cancer (CRC) detection and screening.Entities:
Keywords: COVID-19 pandemic; Colonoscopy; Colorectal cancer
Year: 2022 PMID: 35428894 PMCID: PMC9012515 DOI: 10.1007/s00464-022-09211-z
Source DB: PubMed Journal: Surg Endosc ISSN: 0930-2794 Impact factor: 4.584
Fig. 1Investigation periods
Fig. 2Sante et serivices sociaux colonoscopy referral guidelines for the province of Quebec
Patient characteristics in the pre-pandemic (2019) vs COVID periods (2020)
| Pre-COVID 2019 | First wave | Pre-COVID 2019 | Ramp up 2020 | |||
|---|---|---|---|---|---|---|
| Number of colonoscopies | 2515 | 462 | – | 1328 | 843 | – |
| Patient characteristics | ||||||
| Age (mean, SD) | 61 ± 14 | 59 ± 17 | 0.112 | 60 ± 15 | 60 ± 15 | 0.878 |
| Female, | 1282 (51.0%) | 226 (48.9%) | 0.416 | 702 (52.8%) | 441 (52.3%) | 0.489 |
| BMI, mean (SD) | 27 ± 5.2 | 27 ± 5.4 | 0.436 | 26.5 ±5.5 | 26.6 ± 5.4 | 0.634 |
| Missing date for BMII (no.) | 106 | 47 | – | 101 | 68 | – |
| Endoscopist, | 0.118 | 0.704 | ||||
| Gastroenterologist | 1811 (72.0) | 349 (75.5) | – | 974 (73.3%) | 566 (67.1%) | – |
| Colorectal Surgeon | 704 (28.0) | 113 (24.5) | – | 354 (26.7%) | 277 (32.9%) | – |
| Incomplete scopes, | 106 (4.2) | 19 (4.1) | 0.607 | 44 (3.3%) | 45 (5.3%) | 0.525 |
| Missing data (no.) | 0 | 2 | – | 7 | 6 | – |
Indication for and prioritization of colonoscopies in the pre-pandemic (2019) vs COVID periods (2020)
| Pre-COVID 2019 | First wave | Pre-COVID 2019 | Ramp up 2020 | |||
|---|---|---|---|---|---|---|
| Number of colonoscopies, | 2515 | 462 | – | 1328 | 843 | – |
| Indication, | ||||||
| Urgenta | 117 (4.7%) | 122 (26.4%) | < 0.0001 | 68 (5.1%) | 130 (15.4%) | 0.637 |
| Diagnostic | 1076 (42.8%) | 187 (40.5%) | – | 677 (51.0%) | 477 (56.6%) | – |
| Screening/surveillanceb | 1287 (51.1%) | 149 (32.3%) | < 0.0001 | 582 (43.8%) | 227 (26.9%) | 0.001 |
| Inpatient request | 15 (0.65%) | 63 (13.6%) | – | 20 (1.5%) | 9 (10.7%) | – |
| Pre-transplant screening | 13 (0.5%) | 3 (0.7%) | – | 1 (0.1%) | 2 (0.1%) | – |
| Unspecified | 19 (0.8%) | 1 (0.2%) | – | 0 (0%) | 7 (1.0%) | – |
| Symptoms, | ||||||
| Bleeding | 395 (15.7%) | 107 (23.2%) | – | 243 (18.3%) | 185 (21.9%) | – |
| Change in BM | 180 (7.2%) | 70 (15.2%) | – | 168 (12.7%) | 148 (17.6%) | – |
| Abdominal pain | 229 (9.1%) | 45 (9.7%) | – | 141 (10.6%) | 82 (9.7%) | – |
| Weight loss | 27 (1.1%) | 24 (5.2%) | – | 17 (1.3%) | 27 (3.2%) | – |
| Fit (+) | 137 (5.4%) | 19 (4.1%) | – | 93 (7.0%) | 45 (5.1%) | – |
| Other | 121 (4.8%) | 68 (14.7%) | – | 234 (17.6%) | 164 (19.5%) | – |
| Multiple symptoms | 146 (5.8%) | 66 (14.3%) | – | 135 (10.2%) | 110 (13.0%) | – |
| No symptoms reported | 1581 (62.9%) | 214 (46.3%) | – | 586 (44.1%) | 325 (38.6%) | |
| High-risk surveillance, n (%) | ||||||
| Personal history of CRC | 146 (5.8%) | 35 (7.6%) | 0.135 | 53 (4.0%) | 49 (5.8%) | 0.021 |
| Missing data | 2 | 3 | 0 | 0 | ||
| Personal Hx Polyps | 599 (23.8%) | 57 (12.3%) | < 0.0001 | 258 (19.4%) | 185 (21.9%) | 0.443 |
| Missing data | 2 | 2 | 0 | 0 | ||
| Family History of CRC | 372 (14.8%) | 50 (10.9%) | 0.026 | 187 (14.1%) | 102 (12.1%) | 0.525 |
| Missing data | 4 | 2 | 1 | 0 | ||
| Family history of polyp | 77 (3.1%) | 1 (0.2) | 0.431 | 54 (4.1%) | 28 (3.3%) | 0.827 |
| Missing data | 6 | 2 | 7 | 0 | ||
| IBD/FAP/Lynch | 0.673 | 0.013 | ||||
| IBD | 226 (9.0%) | 45 (9.8%) | – | 82 (6.7%) | 78 (9.3%) | – |
| FAP | 1 (0.04%) | 0 (0.0%) | – | 1 (0.1%) | 0 (0%) | – |
| Lynch | 16 (0.6%) | 1 (0.2) | – | 3 (0.2%) | 11 (1.3%) | - |
| Missing data for IBD/FAP/Lynch | 6 | 4 | – | 0 | 0 | – |
acorresponds to P1 & P2 and inpatient referrals as prioritized by the Quebec government provincial guidelines
bcorresponds to P4, P5 and surveillance colonoscopies
Time from referral to colonoscopy and number of colonoscopies by indication
| Prioritization | Number of scopes by indication ( | Delay (median in days, IQR) | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Pre-COVID (Mar–Jun 2019) | First wave (Mar–Jun 2020) | Pre-COVID (Mar–Jun 2019) | Missing data | First wave (Mar–Jun 2020) | Missing data | |||||
| P1 | 17 | 0.7% | 30 | 6.5% | 2 | 1,3 | 0 | 0 | 0,1 | 1 |
| P2 | 85 | 3.4% | 29 | 6.3% | 11 | 2, 35 | 2 | 3 | 0, 19 | 2 |
| P3 | 1076 | 42.8% | 187 | 40.5% | 56 | 23, 91 | 260 | 54 | 19, 132 | 2 |
| P4 | 303 | 12.0% | 17 | 3.7% | 73 | 27, 169 | 73 | 71 | 25, 274 | 0 |
| P5 | 136 | 5.4% | 18 | 3.9% | 70 | 43, 190 | 27 | 96 | 54, 210 | 0 |
| Surveillance | 848 | 33.7% | 114 | 24.7% | 99 | 49, 327 | 206 | 98 | 42, 376 | 11 |
| Inpatient request | 15 | 0.6% | 63 | 13.6% | 4 | 12, 123 | 3 | 0 | 0,0 | 1 |
| Transplant | 13 | 0.5% | 3 | 0.7% | 22 | 12, 123 | 4 | 87 | 0, 104 | 0 |
| Unspecified | 19 | 0.8% | 1 | 0.2% | 8 | 4, 47 | – | 18 | N/A | – |
Colonoscopy findings in colonoscopies during the pre-pandemic (2019) vs COVID periods (2020)
| Pre COVID2019 | First wave 2020 | Pre-COVID 2019 | Ramp up 2020 | |
|---|---|---|---|---|
| Number of cancers, | 44 (1.7) | 18 (3.9) | 33 (2.5%) | 31 (3.6%) |
| Location, | ||||
| Ileum | 0 (0%) | 1 (6%) | 3 (9.0%) | 3 (9.7%) |
| Cecum | 5 (11.4%) | 6 (33.3) | 7 (21.2%) | 3 (9.7%) |
| Ascending | 3 (6.8%) | 1 (5.6%) | 10 (30.3) | 5 (1.6%) |
| Transverse (includes flexures) | 6 (13.6%) | 1 (5.6%) | 2 (6.1%) | 1 (3.2%) |
| Descending | 3 (6.8%) | 1 (5.6%) | 5 (1.5%) | 4 (12.9%) |
| Sigmoid | 8 (18.2%) | 2 (11.1%) | 6 (1.8%) | 15 (58.4%) |
| Rectum | 18 (40.9%) | 5 (27.8%) | 0 (0%) | 0 (0%) |
| Other (inc. anastomosis) | 1 (2.3%) | 1 (5.6%) | 0 (0%) | 0 (0%) |
| Polyps removed, | 929 (36.9%) | 167 (36.2%) | 489 (36.8%) | 350 (41.5%) |
| Adenoma removed, | 766 (30.5%) | 142 (30.7%) | 351 (26.6%) | 252 (30.0%) |
| Type, | ||||
| Hyperplastic | 210 | 35 | 46 | 23 |
| Tubular | 655 | 114 | 157 | 92 |
| Tubulovillous | 66 | 8 | 9 | 4 |
| Sessile serrated | 91 | 0 | 17 | 12 |
| High grade dysplasia | 27 | 0 | 15 | 14 |
| Inflammatory | 92 | 5 | 25 | 23 |
| Number of polyps, | ||||
| 1 | 505 (20.1%) | 82 (17.8%) | 261 (19.6%) | 187 (22.2%) |
| 2 | 232 (9.2%) | 38 (8.2%) | 107 (8.1%) | 75 (8.9%) |
| 3 | 8 (3.5%) | 15 (3.3%) | 60 (4.5%) | 44 (5.2%) |
| 4 | 37 (1.5%) | 12 (2.6%) | 28 (21.1%) | 19 (2.3%) |
| 5–9 | 47 (10.2%) | 8 (1.7%) | 27 (20.3%) | 22 (2.6%) |
| > 10 | 18 (7.2%) | 8 (1.7%) | 6 (0.5%) | 3 (3.6%) |
| AJCC cancer stage | ||||
| 0 | – | – | 1 (3.0%) | 2 (6.5%) |
| I | – | – | 6 (18.2%) | 3 (9.6%) |
| 2 | – | – | 11 (33.3%) | 6 (20%) |
| 3 | – | – | 8 (24.3%) | 7 (22.6%) |
| 4 | – | – | 4 (12.1%) | 9 (29.0%) |
| Stage unavailable | – | – | 2 (6.1%) | 1 (3.4%) |
| Non-adenocarcinomas | – | – | 1 (3.0%) | 3 (9.6%) |
aPrecentage of positive finding per colonoscopies completed in each period
Fig. 3Colorectal cancer stage in those diagnosed in July and August 2019, pre-COVID pandemic, to July and August 2020, Ramp up period