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      The forgotten phase of fracture healing : The need to predict nonunion

      editorial
      , MA (Cantab), DM (Oxon), FRCS (England & Edinburgh) 1 ,
      Bone & Joint Research

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          Abstract

          Trauma care has improved dramatically over the last three decades with decreased mortality and improved techniques for soft tissue cover and fracture stabilisation. After trauma, it is recognised that there is a golden hour in which optimum resuscitation is essential. Following the golden hour there is an early phase in which debridement of open wounds and soft tissue cover should be obtained along with fracture stabilisation, usually within 48 hours. 1 Recovery of muscle strength and function starts once the fracture has been stabilised but progresses more rapidly in the rehabilitation phase after fracture union. However, in between the early treatment phase and the rehabilitation phase, there is a prolonged “forgotten” phase during which patients are monitored infrequently except for cast treated fractures having alignment checks 2 and the patient and clinicians wait for the fracture to heal. However, at present clinicians treating fractures are powerless in this phase as they do not have a technique for monitoring the early rate of healing. This is compounded by the fact that healing times are known to vary according to the bone, type of fracture and location within the bone. 3 For clavicle fractures, symptoms and smoking status can indicate that a patient is at a greater risk of impaired healing, but does not identify individual nonunion. 4 Unfortunately, radiographs in adults (even when they are used in a standardised fashion) 5 and even CT scans, typically do not show evidence of fracture union for ten or more weeks. Thus assessing the rate of healing is especially difficult in the first two to three months post-fracture. Over the past few years, a number of prospective trials have examined the best way to treat various fractures. 6-11 However, even when fracture repair proceeds uneventfully, the considerable morbidity the patient experiences may be underestimated and it is often several years before full function has returned. 12 If fracture repair does not progress smoothly and a nonunion (or even delayed union) develops, the morbidity is substantially greater and often associated with severe financial hardship for the patient and a large burden for the healthcare system. 13 Nonunions are often multifactorial 14 and their rates vary but are typically 5% for fractures of the clavicle and tibia, but rise to nearly 10% of fractures in working age adults. 15 The treatment of established nonunions is often complex both surgically 16-19 and biologically. 20,21 Preventing patients getting to this advanced state would therefore be attractive both from the patient and society’s perspective. Yet, the FDA definition of nonunion being a fracture that is un-united at nine months, 22 subjects patients to prolonged suffering and waiting until nine months to diagnose a nonunion should be considered a failure of modern fracture treatment. Other definitions include a failure to heal within the expected time and a lack of progression of fracture healing on sequential radiographs, but as this again relies on a radiographic technique, it only brings the time to diagnosis of nonunion down by a few months. The current long period before we diagnose nonunion is a consequence of our inability to monitor healing in the first few months in this forgotten phase. There is therefore a desperate need for tools, such as that proposed by Kienast et al, 23 that can determine in the first few months if a fracture is progressing to a nonunion. If such tools were available, it would transform, the care of fracture patients and the first two months would become a vital stage of assessment and no longer the forgotten phase of fracture repair.

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          Most cited references21

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          Delayed union and nonunions: epidemiology, clinical issues, and financial aspects.

          Fracture healing is a critically important clinical event for fracture patients and for clinicians who take care of them. The clinical evaluation of fracture healing is based on both radiographic findings and clinical findings. Risk factors for delayed union and nonunion include patient dependent factors such as advanced age, medical comorbidities, smoking, non-steroidal anti-inflammatory use, various genetic disorders, metabolic disease and nutritional deficiency. Patient independent factors include fracture pattern, location, and displacement, severity of soft tissue injury, degree of bone loss, quality of surgical treatment and presence of infection. Established nonunions can be characterised in terms of biologic capacity, deformity, presence or absence of infection, and host status. Hypertrophic, oligotrophic and atrophic radiographic appearances allow the clinician to make inferences about the degree of fracture stability and the biologic viability of the fracture fragments while developing a treatment plan. Non-unions are difficult to treat and have a high financial impact. Indirect costs, such as productivity losses, are the key driver for the overall costs in fracture and non-union patients. Therefore, all strategies that help to reduce healing time with faster resumption of work and activities not only improve medical outcome for the patient, they also help reduce the financial burden in fracture and non-union patients. Copyright © 2014 Elsevier Ltd. All rights reserved.
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            The risk of non-union per fracture: current myths and revised figures from a population of over 4 million adults

            Background and purpose Fracture non-union remains a major clinical problem, yet there are no data available regarding the overall risk of fractures progressing to non-union in a large population. We investigated the rate of non-union per fracture in a large adult population. Methods National data collected prospectively over a 5-year period and involving just under 5,000 non-unions were analyzed and compared to the incidence of fracture in the same period. Results and interpretation The overall risk of non-union per fracture was 1.9%, which is considerably less than previously believed. However, for certain fractures in specific age groups the risk of non-union rose to 9%. As expected, these higher rates of non-union were observed with tibial and clavicular fractures, but—less expectedly—it was in the young and middle-aged adults rather than in the older and elderly population. This study is the first to examine fracture non-union rates in a large population according to age and site, and provides more robust (and lower) estimates of non-union risk than those that are frequently quoted.
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              The multifactorial aetiology of fracture nonunion and the importance of searching for latent infection

              Objectives A successful outcome following treatment of nonunion requires the correct identification of all of the underlying cause(s) and addressing them appropriately. The aim of this study was to assess the distribution and frequency of causative factors in a consecutive cohort of nonunion patients in order to optimise the management strategy for individual patients presenting with nonunion. Methods Causes of the nonunion were divided into four categories: mechanical; infection; dead bone with a gap; and host. Prospective and retrospective data of 100 consecutive patients who had undergone surgery for long bone fracture nonunion were analysed. Results A total of 31% of patients had a single attributable cause, 55% had two causes, 14% had three causes and 1% had all four. Of those (31%) with only a single attributable cause, half were due to a mechanical factor and a quarter had dead bone with a gap. Mechanical causation was found in 59% of all patients, dead bone and a gap was present in 47%, host factors in 43% and infection was a causative factor in 38% of patients. In all, three of 58 patients (5%) thought to be aseptic and two of nine (22%) suspected of possible infection were found to be infected. A total of 100% of previously treated patients no longer considered to have ongoing infection, had multiple positive microbiology results. Conclusion Two thirds of patients had multiple contributing factors for their nonunion and 5% had entirely unexpected infection. This study highlights the importance of identifying all of the aetiological factors and routinely testing tissue for infection in treating nonunion. It raises key points regarding the inadequacy of a purely radiographic nonunion classification system and the variety of different definitions for atrophic nonunion in the current mainstream classifications used for nonunion. Cite this article: L. Mills, J. Tsang, G. Hopper, G. Keenan, A. H. R. W. Simpson. The multifactorial aetiology of fracture nonunion and the importance of searching for latent infection. Bone Joint Res 2016;5:512–519. DOI: 10.1302/2046-3758.510.BJR-2016-0138.
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                Author and article information

                Contributors
                Role: George Harrison Law Professor of Orthopaedic Surgery
                Journal
                Bone Joint Res
                Bone & Joint Research
                2046-3758
                October 2017
                4 November 2017
                : 6
                : 10
                : 610-611
                Affiliations
                [1 ]Royal Infirmary of Edinburgh, Editorin-Chief, Bone & Joint Research, 22 Buckingham Street, London WC2N 6ET, UK
                Author notes
                [*]A. H. R. W. Simpson; email: editorbjr@ 123456boneandjoint.org.uk
                Article
                10.1302_2046-3758.610.BJR-2017-0301
                10.1302/2046-3758.610.BJR-2017-0301
                5670362
                29074602
                8ba534bb-e0b6-4b9f-9d55-5fb2edde06ed
                © 2017 Simpson

                This is an open-access article distributed under the terms of the Creative Commons Attributions licence (CC-BY-NC), which permits unrestricted use, distribution, and reproduction in any medium, but not for commercial gain, provided the original author and source are credited.

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