| Literature DB >> 29766094 |
John P Sharpe1, Louis J Magnotti1, Timothy C Fabian1, Martin A Croce1.
Abstract
For any trauma surgeon, colon wounds remain a relatively common, yet sometimes challenging, clinical problem. Evolution in operative technique and improvements in antimicrobial therapy during the past two centuries have brought remarkable improvements in both morbidity and mortality after injury to the colon. Much of the early progress in management and patient survival after colon trauma evolved from wartime experience. Multiple evidence-based studies during the last several decades have allowed for more aggressive management, with most wounds undergoing primary repair or resection and anastomosis with an acceptably low suture line failure rate. Despite the abundance of quality evidence regarding management of colon trauma obtained from both military and civilian experience, there remains some debate among institutions regarding management of specific injuries. This is especially true with respect to destructive wounds, injuries to the left colon, blunt colon trauma and those wounds requiring colonic discontinuity during an abbreviated laparotomy. Some programs have developed data-driven protocols that have simplified management of destructive colon wounds, clearly identifying those high-risk patients who should undergo diversion, regardless of mechanism or anatomic location. This update will describe the progression in the approach to colon injuries through history while providing a current review of the literature regarding management of the more controversial wounds.Entities:
Keywords: algorithm; colon; trauma/ critical care
Year: 2017 PMID: 29766094 PMCID: PMC5877907 DOI: 10.1136/tsaco-2017-000092
Source DB: PubMed Journal: Trauma Surg Acute Care Open ISSN: 2397-5776
Stewart et al: risk factors for suture line failure
| Resection + anastomosis | Suture line failure (%) | Death (%) |
| All patients (n=43) | 14 | 12 |
| PRBCs transfusion >6 units | 33 | 33 |
| Medical illness | 75 | 50 |
| Combined high risk | 42 | 33 |
PRBCs, packed red blood cells.
Figure 1Defined management algorithm for penetrating colon injuries. PRBCs, packed red blood cells.
Figure 2Colon-related morbidity and mortality after implementation of a defined management algorithm for penetrating colon injuries. The percentage of abscess formation, suture line failure and mortality is represented along the vertical axis. The solid line represents abscess formation, the dots represent suture line failure and the dashes represent mortality.
Adjusted ORs for suture line failure, colon-related morbidity and colon-related mortality in all patients based on anatomic location of injury
| Suture line failure | Colon-related morbidity | Colon-related mortality | ||||
| Adjusted OR | 95% CI | Adjusted OR | 95% CI | Adjusted OR | 95% CI | |
| Ascending | 0.96 | 0.25 to 3.69 | 1.39 | 0.78 to 2.48 | 0.60 | 0.06 to 5.92 |
| Transverse | 0.16 | 0.02 to 1.34 | 0.68 | 0.38 to 1.18 | 0.65 | 0.06 to 6.53 |
| Descending | 3.36 | 0.91 to 12.42 | 1.31 | 0.71 to 2.42 | 0.58 | 0.06 to 5.52 |
| Sigmoid | 1.37 | 0.25 to 7.39 | 0.80 | 0.35 to 1.81 | 5.48 | 0.67 to 45.1 |
Comparison of patients that underwent delayed anastomosis managed according to the algorithm versus patients not managed according to the algorithm
| No algorithm | Algorithm | p | |
| n | 19 | 23 | |
| Age (years) | 39 | 43 | 0.45 |
| Comorbidity (%) | 11 | 0 | 0.20 |
| Male (%) | 63 | 74 | 0.52 |
| Injury severity score | 30 | 21 | 0.01 |
| Intra-op PRBCs (units) | 15.6 | 4.1 | <0.001 |
| Admission Shock Index | 1.3 | 0.8 | 0.002 |
| Admission BE (mEq/L) | −10.6 | −4.7 | 0.007 |
| Suture line failure (%) | 32 | 4 | 0.03 |
| Colon-related morbidity (%) | 58 | 22 | 0.03 |
| Colon-related mortality (%) | 11 | 0 | 0.20 |
Admission Shock Index, admission systolic blood pressure/admission heart rate.
Abd-AIS, Abdominal Abbreviated Injury Scale; BE, base excess; PRBCs, packed red blood cells.
Comparison of suture line failure across series evaluating delayed anastomosis after abbreviated laparotomy
| n | Suture line failure (%) | |
| Miller | 11 | 0 |
| Weinberg | 33 | 12.1 |
| Kashuk | 29 | 16 |
| Ott | 44 | 27.3 |
| Vertrees | 10 | 10 |
| Ordonez | 27 | 7.4 |
| Georgoff | 28 | 21 |
| Burlew | 60 | 20 |
| Sharpe | 42 | 16.7 |
| No algorithm | 19 | 32 |
| Algorithm | 23 | 4 |