Evidence map›Paper›PMID 40511767›Full record

ArticleUlusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES2025

Rotational problems and clinical reflections after locked intramedullary nailing in diaphyseal femur fractures: A minimum follow-up of 5 years.

Onur Süer, Anıl Murat Ozturk, Ipek Tamsel, Kemal Aktuglu

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Article in Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Onur SüerDepartment of Orthopaedics and Traumatology, Izmir City Hospital, İzmir-Türkiye.
Anıl Murat OzturkDepartment of Orthopaedics Surgery, Ege University Faculty of Medicine, İzmir-Türkiye.
Ipek TamselDepartment of Radiology, Ege University Faculty of Medicine, İzmir-Türkiye.
Kemal AktugluDepartment of Orthopaedics Surgery, Ege University Faculty of Medicine, İzmir-Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRotational malalignment following intramedullary nailing (IMN) of femoral shaft fractures remains a clinically significant concern, with previous studies reporting variable incidence rates and inconsistent risk factors. This study aimed to determine the incidence of rotational malalignment after closed static-locked intramedullary nailing for adult diaphyseal femoral fractures, identify contributing etiological factors, and evaluate its clinical impact on functional capacity and quality-of-life metrics.

methodsA retrospective cohort study was conducted involving 54 adults treated with closed static-locked IMN for diaphyseal femur fractures between 2014 and 2019. Rotational alignment was assessed using computed tomography (CT)-measured femoral anteversion (FAV) differences, with a threshold of ≥15° defined as malalignment. Multivariate logistic regression was employed to examine associations with fracture pattern, nail entry site, surgical timing (day vs. night), and coronal alignment. Functional outcomes were assessed using the WOMAC (Western Ontario and McMaster Universities Osteoarthritis Index) knee, Harris hip, Lower Extremity Functional Scale, and Kujala patellofemoral scores. Receiver operating characteristic (ROC) analysis was used to determine optimal FAV thresholds.

resultsRotational malalignment (≥15° FAV difference) was observed in 33.3% of cases, with 94.4% involving internal rotation. Multivariate analysis identified no independent predictors among the following factors: fracture location (proximal 44.4% vs. middle 29.2%, p=0.625), AO classification (Type A 34.3% vs. Type C 33.3%, p=0.914), nail entry site (lateral trochanteric 40% vs. piriformis 16.6%, *p*=0.574), and surgical timing (night 26.1% vs. day 38.7%, p=0.228). Patients with malalignment demonstrated significantly poorer functional outcomes, as evidenced by higher WOMAC knee scores (12.7+-4.8 vs. 6.4+-4.8, p<0.001). ROC curve analysis identified 13.5° as the optimal FAV threshold (area under the curve, AUC: 0.78), although the 15° cutoff maintained strong clinical utility with a specificity of 83%.

conclusionRotational malalignment following IMN occurs in one-third of cases and has a significant negative impact on functional outcomes. However, it appears to be independent of commonly considered surgical variables such as entry site and timing. These findings support technical flexibility in IMN procedures while highlighting the need for improved intraoperative techniques to assess rotational alignment.

Indexed as

Bone MalalignmentFemoral FracturesFracture Fixation, IntramedullaryPostoperative ComplicationsAdultAgedBone NailsDiaphysesFemaleFollow-Up StudiesHumansMaleMiddle AgedRetrospective StudiesRotation

Identifiers

PMID40511767
PMCPMC12183481

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.