| Literature DB >> 34992406 |
Oliver Bendall1, Joel James1, Katarzyna M Pawlak2, Sauid Ishaq3,4, J Andy Tau5, Noriko Suzuki6, Steven Bollipo7,8, Keith Siau1.
Abstract
Delayed post-polypectomy bleeding (DPPB) is a potentially severe complication of therapeutic colonoscopy which can result in hospital readmission and re-intervention. Over the last decade, rates of DPPB reported in the literature have fallen from over 2% to 0.3-1.2%, largely due to improvements in resection technique, a shift towards cold snare polypectomy, better training, adherence to guidelines on periprocedural antithrombotic management, and the use of antithrombotics with more favourable bleeding profiles. However, as the complexity of polypectomy undertaken worldwide increases, so does the importance of identifying patients at increased risk of DPPB. Risk factors can be categorised according to patient, polyp and personnel related factors, and their integration together to provide an individualised risk score is an evolving field. Strategies to reduce DPPB include safe practices relevant to all patients undergoing colonoscopy, as well as specific considerations for patients identified to be high risk. This narrative review sets out an evidence-based summary of factors that contribute to the risk of DPPB before discussing pragmatic interventions to mitigate their risk and improve patient safety.Entities:
Keywords: adverse event; colonoscopy; complications; haemorrhage; polypectomy
Year: 2021 PMID: 34992406 PMCID: PMC8714413 DOI: 10.2147/CEG.S282699
Source DB: PubMed Journal: Clin Exp Gastroenterol ISSN: 1178-7023
Figure 1Factors contributing to the pathophysiology of delayed post-polypectomy bleeding.
Summary of Risk Factors for Delayed Post-Polypectomy Bleeding
| Risk Factor | Study (First Author, Year) | Study Type | OR for DPPB (95% CI) | P-value | |
|---|---|---|---|---|---|
| Age | Jaruvongvanich 2017 | Meta-analysis | 1.68 MD (−1.83, 5.20) | 0.35 | |
| Sex (female) | Jaruvongvanich 2017 | Meta-analysis | 1.03 (0.88, 1.21) | 0.70 | |
| Smoking | Jaruvongvanich 2017 | Meta-analysis | 0.91 (0.53, 1.58) | 0.74 | |
| Alcohol | Jaruvongvanich 2017 | Meta-analysis | 0.99 (0.57, 1.71) | 0.97 | |
| A | |||||
| Hypertension | Manocha 2012 | Retrospective cohort | 1.2 0.56–1.78 | 0.3 | |
| Hypertension | Sawhney 2008 | Case-control | 1.1 (0.5–2.2) | 0.8 | |
| Diabetes | Jaruvongvanich 2017 | Meta-analysis | 1.20 (0.77, 1.88) | 0.43 | |
| Diabetes | Manocha 2012 | Retrospective cohort | 0.9 (0.35–1.88) | 0.6 | |
| A | |||||
| Coronary Artery disease | Manocha 2012 | Retrospective cohort | 1.14 (0.45–2.42) | 0.9 | |
| Coronary artery disease | Harada 2021 | Retrospective cohort | 1.52 (0.84–2.74) | 0.163 | |
| Cerebrovascular Disease | Jaruvongvanich 2017 | Meta-analysis | 1.60 (0.75, 3.40) | 0.22 | |
| Cirrhosis Child Pugh A | Soh 2020 | Retrospective cohort | 0.98 (0.55–1.72) | 0.935 | |
| Cirrhosis Child Pugh B/C | Soh 2020 | Retrospective cohort | 2.48 (1.20–5.12) | 0.01 | |
| Aspirin/NSAID | Manocha 2012 | Manocha 2012 | Retrospective cohort | 0.9 | |
| Aspirin | Sawhney 2008 | Case-control | 1.1 (0.5–2.2) | 0.8 | |
| Clopidogrel | Gandhi 2013 | Meta-analysis | 4.7 (2.37–9.17) (RR) | <0.00001 | |
| Clopidogrel | Chan 2019 | Randomised Control Trial | 1.05 (0.26–4.20) (HR) | 0.946 | |
| B | |||||
| B | Size Polyp 2–3cm | Liu 201999 | Retrospective cohort | 4.0 (0.9–17.8) | 0.068 |
| B | |||||
| Morphology - Pedunculated | Jaruvongvanich 2017 | Meta-analysis | 1.3 (0.91, 1.96) | 0.13 | |
| Pathology (adenocarcinoma) | Jaruvongvanich 2017 | Meta-analysis | 1.30 (0.84, 2.01) | 0.23 | |
| Multiple Polyp Removal | Harada 2021100 | Retrospective cohort | 1.77 (1.17–2.68) | 0.007 | |
| G | |||||
| G | |||||
| C | Modality EMR | Liu 201999 | Retrospective cohort | 9.1 (3.5–23.5) | |
| C | Modality ESD | Liu 201999 | Retrospective cohort | 31.3 (7.0–139.4) | P <0.001 |
| Submucosal adrenaline | Tullavardhana 2017 | Meta-analysis | 0.45 (0.11, 1.81) | 0.26 | |
| Routine Prophylactic clipping | Forbes 2019 | Meta-analysis | 0.86 (0.55 to 1.36) | 0.28 | |
| D | |||||
| E | Prophylactic clip - distal polyp | Yang 2021 | Meta-analysis | 1.16 (0.295–4.571) | 0.83 |
| F | Prophylactic electrocautery of resection defect | Lee 2019 | Randomised Control Trial | 0.59 (0.37–0.95) | 0.029 |
| Endoscopist experience | Choung 2014 | Retrospective cohort | 4.8 (2.6–8.8) | P= 0.001 | |
Notes: Studies in bold reflect statistically significant associations in the original literature. (A) Meta-analysis could not fully control for effect of antithrombotics. (B) Compared to Polyps <1cm. (C) Compared to argon plasma coagulation. (D) Proximal colon polyp represents polyp located at cecum, ascending colon, or hepatic flexure. (E) Distal colon polyp represents polyp located at transverse colon, splenic flexure, descending colon, sigmoid colon, or rectum. (F) Electrocautery applied to visible vessels and erythema using coagulation probe, sessile polyps >10mm. (G) Lateral spreading lesions ≥20m following wide field EMR.
Abbreviations: MD, mean difference; RR, relative risk; HR, hazard ratio.
Figure 2Timeline summary of strategies to minimise impact of delayed post polypectomy bleeding.
Summary of International Society Regarding Resumption of Anticoagulants Following High-Risk Procedures Including Polypectomy
| Society | Year | Warfarin | DOAC |
|---|---|---|---|
| BSG/ESGE | 2021 | ||
| ASGE | 2016 | ||
| Asian Pacific Association of Gastroenterology/Asian Pacific Society of Digestive Endoscopy (APAGE/APSDE) | 2017 |
Summary of Risk Scores to Predict Delayed Post-Polypectomy Bleeding Following EMR
| Risk Score | Author & Year | Study Population | Components |
|---|---|---|---|
| Size, Morphology, Site, and Access score “SMSA” | Sidhu 2017 | Lateral spreading lesions | Size: graded score |
| Australian Colonic Endoscopic Resection “ACER” | Bahin 2016 | Lateral spreading lesions | Lesion size ≥30mm |
| GSEED-RE | Albéniz 2016 | Non-pedunculated | Age: <75, ≥75 |
| GSEED-RE2 | Albéniz 2019 | Non-pedunculated colorectal lesions ≥20 mm | ASA: III–IV |