Browsing by Subject "Nonunion"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Polytraumatized patient lower extremity nonunion development: Raw data
    (Elsevier, 2021-06-25) Sardesai, Neil R.; Gaski, Greg E.; Gunderson, Zachary J.; Cunningham, Connor M.; Slaven, James; Meagher, Ashley D.; McKinley, Todd O.; Natoli, Roman M.; Orthopaedic Surgery, School of Medicine
    In this article we report data collected to evaluate the pathomechanistic effect of acute anaerobic metabolism in the polytraumatized patient and its subsequent effect on fracture nonunion; see "Base Deficit ≥6 within 24 Hours of Injury is a Risk Factor for Fracture Nonunion in the Polytraumatized Patient" (Sardesai et al., 2021) [1]. Data was collected on patients age ≥16 with an Injury Severity Score (ISS) >16 that presented between 2013-2018 who sustained a fracture of the tibia or femur distal to the femoral neck. Patients presenting to our institution greater than 24 hours post-injury and those with less than three months follow-up were excluded. Medical charts were reviewed to collect patient demographic information and known nonunion risk-factors, including smoking, alcohol use, and diabetes. In addition, detailed injury characteristics to quantify injury magnitude including ISS, Glasgow Coma Scale (GCS) at admission, and ICU length of stay were recorded. ISS values were obtained from our institutional trauma database where they are entered by individuals trained in ISS calculations. Associated fracture-related features including fracture location, soft-tissue injury (open vs. closed fracture), vascular injury, and compartment syndrome were recorded. Finally, vital signs, base deficit (BD), and blood transfusions over 24 hours from admission were recorded. We routinely measure BD and less consistently measure serum lactate in trauma patients at the time of presentation or during resuscitation. BD values are automatically produced by our laboratory with any arterial blood gas order, and we recorded BD values from the medical record. Clinical notes and radiographs were reviewed to confirm fracture union versus nonunion and assess for deep infection at the fracture site. Patients were categorized as having a deep infection if they were treated operatively for the infection prior to fracture healing or classification as a nonunion. Nonunion was defined by failure of progressive healing on sequential radiographs and/or surgical treatment for nonunion repair at least six months post-injury.
  • Thumbnail Image
    Item
    Single-cell RNAseq provides insight into altered immune cell populations in human fracture nonunions
    (Wiley, 2023) Avin, Keith G.; Dominguez, James M., II; Chen, Neal X.; Hato, Takashi; Myslinski, Jered J.; Gao, Hongyu; Liu, Yunlong; McKinley, Todd O.; Brown, Krista M.; Moe, Sharon M.; Natoli, Roman M.; Physical Therapy, School of Health and Human Sciences
    Nonunion describes bone fractures that fail to heal, resulting in the fracture callus failing to fully ossify or, in atrophic cases, not forming altogether. Fracture healing is regulated, in part, by the balance of proinflammatory and anti-inflammatory processes occurring within the bone marrow and surface cell populations. We sought to further understand the role of osteoimmunology (i.e., study of the close relationship between the immune system and bone) by examining immune cell gene expression via single-cell RNA sequencing of intramedullary canal tissue obtained from human patients with femoral nonunions. Intramedullary canal tissue samples obtained by reaming were collected at the time of surgical repair for femur fracture nonunion (n = 5) or from native bone controls when harvesting autologous bone graft (n = 4). Cells within the samples were isolated and analyzed using the Chromium Single-Cell System (10x Genomics Inc.) and Illumina sequencers. Twenty-three distinct cell clusters were identified, with higher cell proportions in the nonunion samples for monocytes and CD14 + dendritic cells (DCs), and lower proportions of T cells, myelocytes, and promyelocytes in nonunion samples. Gene expression differences were identified in each of the cell clusters from cell types associated with osteoimmunology, including CD14 + DC, monocytes, T cells, promyelocytes, and myelocytes. These results provide human-derived gene profiles that can further our understanding of pathways that may be a cause or a consequence of nonunion, providing the clinical rationale to focus on specific components of osteoimmunology. Clinical significance: The novel single-cell approach may lead to clinically relevant diagnostic biomarkers during earlier stages of nonunion development and/or investigation into therapeutic options.