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The Journal of Hand Surgery (Asian-Pacific Volume)
Article . 2019 . Peer-reviewed
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Predicting Amputation and Multiple Debridements in Tooth Knuckle Injuries

Authors: C. Conyard; Ronny Gunnarsson; Ronny Gunnarsson; J. Loveridge; H. R. Smith;

Predicting Amputation and Multiple Debridements in Tooth Knuckle Injuries

Abstract

Background: Tooth knuckle injuries can be expensive to treat and may necessitate amputation in some cases. Several limitations exist in the literature regarding our knowledge around the factors predicting amputation and the need for multiple debridements in treating this injury.Methods: A historic cohort study of 321 patients treated for tooth knuckle injuries was undertaken. Twenty-one demographic, clinical and laboratory variables were collected. Two outcome measurements were collected - the need for amputation and the need for more than one surgical debridement. A multivariate logistic regression was performed to determine the relationship between the predictor variables and the outcome measurements.Results: Of the 321 patients examined, 1.6% required amputations and 25% required multiple debridements. Osteomyelitis was found to be a major predictor for amputation in these patients (OR = 35). Delayed presentation (OR = 1.1) and diabetes (OR = 2.6) were found to significantly increase the risk of requiring multiple debridements.Conclusions: Our models were able to predict what patients were at the greatest risk for amputation and multiple debridement. Reducing rates of osteomyelitis and delays in presentation may help reduce the incidence of amputation and reoperation in this injury.

Country
Australia
Keywords

Adult, Male, Reoperation, 610, Middle Aged, Prognosis, Amputation, Surgical, Bites, Human, Debridement, Tendon Injuries, Finger Injuries, Tooth knuckle injury, Humans, Surgery, Female, Amputation, Health care costs, Clenched fist injury, Aged, Follow-Up Studies, Retrospective Studies

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    popularity
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    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green