| Literature DB >> 34909346 |
Alexander C Smith1, Dariush Nikkhah2, Ryckie Wade3.
Abstract
Background Digital replantation is associated with a substantial risk of failure. There is considerable variation in survival rates globally, and the current data are limited by poor statistical methods and bias of selection, which limits its translation to Europe and the USA. We aimed to establish a more representative survival rate of digit replantation for western populations and evaluate espoused prognostic variables using robust statistical methodology. Materials and Methods Retrospective data were collected from 58 consecutive patients who underwent digital replantation following traumatic amputation in three tertiary care hand centres in the UK over seven years. The unit of analysis was the digit. Generalized linear modelling was used to estimate the odds ratio (OR) of digit survival. Results Forty-six of 68 replanted digits survived (68%). The typical replant candidate was a 40-year-old male manual worker. Digit survival was more likely with guillotine injuries (adjusted OR 25.5 [95% CI 5.60, 115]) and when intraoperative skeletal shortening was performed (adjusted OR 15.3 [95% CI 2.62, 89.5]). The age of the patient, seniority of the operating surgeon, and use of vein grafts was not associated with digit survival. Conclusion We provide robust data to show that guillotine amputations have more favourable survival rates, which can be further improved by skeletal shortening at the time of replantation. We suggest that research networks worldwide set up digit amputation registries to capture individual patient data on this uncommon injury.Entities:
Keywords: amputation; digit; digital; microsurgery; replantation
Year: 2021 PMID: 34909346 PMCID: PMC8653862 DOI: 10.7759/cureus.20183
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Baseline characteristics
| Replanted Digits | ||||
| Failure (n=22) | Survived (n=46) | p-value | ||
| Mean age in years (SD) | 32 (21) | 44 (19) | 0.020 | |
| Sex (%) | Male | 19 (86) | 41 (89) | 0.742 |
| Female | 3 (14) | 5 (11) | ||
| Current Smoker (%) | 5 (23) | 12 (29) | 0.583 | |
| Manual worker (%) | 11 (52) | 30 (68) | 0.217 | |
| Amputated digit | Thumb | 5 (23) | 17 (37) | 0.087 |
| Index | 2 (9) | 13 (28) | ||
| Middle | 9 (41) | 9 (20) | ||
| Ring | 4 (18) | 6 (13) | ||
| Little | 2 (9) | 1 (2) | ||
| Mechanism of injury (%) | Guillotine | 5 (23) | 31 (67) | 0.003 |
| Avulsion | 4 (18) | 4 (9) | ||
| Crush | 13 (59) | 11 (24) | ||
| Tamai level (%) | 1 | 1 (5) | 3 (7) | 0.821 |
| 2 | 7 (32) | 11 (24) | ||
| 3 | 7 (32) | 10 (22) | ||
| 4 | 7 (32) | 16 (35) | ||
| 5 | 0 (0) | 6 (13) | ||
Peri-operative events
| Factor | Digits Replanted | ||
| Failure (n=22) | Survived (n=46) | p-value | |
| Consultant operating (%) | 11 (50) | 19 (42) | 0.535 |
| Vein graft used (%) | 7 (32) | 11 (24) | 0.500 |
| Bone shortening (%) | 6 (27) | 25 (54) | 0.042 |
| Mean* ischaemia time in minutes (95% CI) | 380 (331, 437) | 365 (277, 481) | 0.787 |
| Mean operative time in minutes (SD) | 398 (167) | 422 (199) | 0.591 |
| Postoperative leech therapy (%) | 8 (38) | 7 (15) | 0.056 |
| Perioperative anticoagulation (%) | 10 (91) | 27 (87) | 0.752 |
| Postoperative antiplatelet (%) | 1 (5) | 2 (4) | 0.974 |
| Median inpatient stay in days (IQR) | 4.5 (4-7) | 7 (2.5-10) | 0.095 |
Mixed effects logistic regression for the odds of digit survival
| Perioperative factors | Odds of Replanted Digit Surviving | ||||
| Unadjusted odds ratio (95% CI) | p-value | Adjusted odds ratio (95% CI) | p-value | ||
| Age in years | 1.03 (1.01, 1.06) | 0.020 | 0.99 (0.98, 1.06) | 0.257 | |
| Guillotine mechanism | 7.0 (2.3, 21) | 0.001 | 25.5 (5.60, 115) | <0.001 | |
| Tamai level* | 1 | 0.52 (0.04, 6.23) | 0.822 | 23.7 (1.8, 302) | 0.048 |
| 2 | 0.48 (0.04, 5.41) | 22 (1.9, 259) | |||
| 3 | 0.76 (0.07, 8.41) | 4.3 (0.58, 32.7) | |||
| 4 | referent | referent | |||
| Consultant Operating | 0.73 (0.27, 1.97) | 0.535 | 0.40 (0.08, 1.92) | 0.251 | |
| Vein Graft used | 0.67 (0.21, 2.12) | 0.500 | 0.80 (0.12, 5.25) | 0.812 | |
| Bone shortening | 3.17 (1.04, 9.78) | 0.042 | 15.3 (2.62, 89.5) | <0.002 | |
| Ischaemia Time | 0.99 (0.99, 1.00) | 0.787 | 1.00 (0.99, 1.00) | 0.783 | |
| Out of hours operating | 0.43 (0.14, 1.32) | 0.143 | 0.86 (0.12, 5.96) | 0.877 | |
Figure 1Kaplan-Meier plot showing that replanted digits which were traumatically amputated by a guillotine-type mechanism have the best survival profile, as compared to those amputated by crushing or avulsion injuries
Figure 2Kaplan-Meier plot showing that skeletal shortening at the time of replantation improves the probability of survival
Figure 3Kaplan-Meier plot showing that the survival of single and multi-digit replants according to the start time of surgery