1
|
Li W, Wang Y, Zhou S, Liu S, Di L, Chen W, Lv H. Development and validation of predictive nomogram for postoperative non-union of closed femoral shaft fracture. Sci Rep 2024; 14:3543. [PMID: 38347044 PMCID: PMC10861573 DOI: 10.1038/s41598-024-53356-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 01/31/2024] [Indexed: 02/15/2024] Open
Abstract
Closed femoral shaft fracture is caused by high-energy injuries, and non-union exists after operation, which can significantly damage patients' body and mind. This study aimed to explore the factors influencing postoperative non-union of closed femoral shaft fractures and establish a predictive nomogram. Patients with closed femoral shaft fractures treated at Hebei Medical University Third Hospital between January 2015 and December 2021 were retrospectively enrolled. A total of 729 patients met the inclusion criteria; of them, those treated in 2015-2019 comprised the training cohort (n = 617), while those treated in 2020-2021 comprised the external validation cohort (n = 112). According to multivariate logistic regression analysis, complex fractures, bone defects, smoking, and postoperative infection were independent risk factors. Based on the factors, a predictive nomogram was constructed and validated. The C-indices in training and external validation cohorts were 0.818 and 0.781, respectively; and the C-index of internal validation via bootstrap resampling was 0.804. The Hosmer-Lemeshow test showed good fit of the nomogram (P > 0.05) consistent with the calibration plot results. The clinical effectiveness was best at a threshold probability of 0.10-0.40 in decision curve analysis. The risk prediction for patients with fractures using this nomogram may aid targeted prevention and rehabilitation programs.
Collapse
Affiliation(s)
- Wenjing Li
- Hebei Provincial Key Laboratory of Orthopaedic Biomechanics, Hebei Orthopaedic Research Institute, No. 139 Ziqiang Road, Shijiazhuang, 050051, China
- School of Public Health, Hebei Medical University, No.361 Zhongshan East Road, Shijiazhuang, 050017, China
- Trauma Emergency Center, Hebei Medical University Third Hospital, No. 139 Ziqiang Road, Shijiazhuang, 050051, China
| | - Yan Wang
- Hebei Provincial Key Laboratory of Orthopaedic Biomechanics, Hebei Orthopaedic Research Institute, No. 139 Ziqiang Road, Shijiazhuang, 050051, China
- School of Public Health, Hebei Medical University, No.361 Zhongshan East Road, Shijiazhuang, 050017, China
- Trauma Emergency Center, Hebei Medical University Third Hospital, No. 139 Ziqiang Road, Shijiazhuang, 050051, China
| | - Shuai Zhou
- Hebei Provincial Key Laboratory of Orthopaedic Biomechanics, Hebei Orthopaedic Research Institute, No. 139 Ziqiang Road, Shijiazhuang, 050051, China
- School of Public Health, Hebei Medical University, No.361 Zhongshan East Road, Shijiazhuang, 050017, China
- Trauma Emergency Center, Hebei Medical University Third Hospital, No. 139 Ziqiang Road, Shijiazhuang, 050051, China
| | - Shihang Liu
- Hebei Provincial Key Laboratory of Orthopaedic Biomechanics, Hebei Orthopaedic Research Institute, No. 139 Ziqiang Road, Shijiazhuang, 050051, China
- School of Public Health, Hebei Medical University, No.361 Zhongshan East Road, Shijiazhuang, 050017, China
- Trauma Emergency Center, Hebei Medical University Third Hospital, No. 139 Ziqiang Road, Shijiazhuang, 050051, China
| | - Luqin Di
- Trauma Emergency Center, Hebei Medical University Third Hospital, No. 139 Ziqiang Road, Shijiazhuang, 050051, China
| | - Wei Chen
- Hebei Provincial Key Laboratory of Orthopaedic Biomechanics, Hebei Orthopaedic Research Institute, No. 139 Ziqiang Road, Shijiazhuang, 050051, China.
- Trauma Emergency Center, Hebei Medical University Third Hospital, No. 139 Ziqiang Road, Shijiazhuang, 050051, China.
| | - Hongzhi Lv
- Hebei Provincial Key Laboratory of Orthopaedic Biomechanics, Hebei Orthopaedic Research Institute, No. 139 Ziqiang Road, Shijiazhuang, 050051, China.
- School of Public Health, Hebei Medical University, No.361 Zhongshan East Road, Shijiazhuang, 050017, China.
- Trauma Emergency Center, Hebei Medical University Third Hospital, No. 139 Ziqiang Road, Shijiazhuang, 050051, China.
| |
Collapse
|
2
|
Giriyappagoudar M, Vastrad B, Horakeri R, Vastrad C. Study on Potential Differentially Expressed Genes in Idiopathic Pulmonary Fibrosis by Bioinformatics and Next-Generation Sequencing Data Analysis. Biomedicines 2023; 11:3109. [PMID: 38137330 PMCID: PMC10740779 DOI: 10.3390/biomedicines11123109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 10/31/2023] [Accepted: 11/02/2023] [Indexed: 12/24/2023] Open
Abstract
Idiopathic pulmonary fibrosis (IPF) is a chronic progressive lung disease with reduced quality of life and earlier mortality, but its pathogenesis and key genes are still unclear. In this investigation, bioinformatics was used to deeply analyze the pathogenesis of IPF and related key genes, so as to investigate the potential molecular pathogenesis of IPF and provide guidance for clinical treatment. Next-generation sequencing dataset GSE213001 was obtained from Gene Expression Omnibus (GEO), and the differentially expressed genes (DEGs) were identified between IPF and normal control group. The DEGs between IPF and normal control group were screened with the DESeq2 package of R language. The Gene Ontology (GO) and REACTOME pathway enrichment analyses of the DEGs were performed. Using the g:Profiler, the function and pathway enrichment analyses of DEGs were performed. Then, a protein-protein interaction (PPI) network was constructed via the Integrated Interactions Database (IID) database. Cytoscape with Network Analyzer was used to identify the hub genes. miRNet and NetworkAnalyst databaseswereused to construct the targeted microRNAs (miRNAs), transcription factors (TFs), and small drug molecules. Finally, receiver operating characteristic (ROC) curve analysis was used to validate the hub genes. A total of 958 DEGs were screened out in this study, including 479 up regulated genes and 479 down regulated genes. Most of the DEGs were significantly enriched in response to stimulus, GPCR ligand binding, microtubule-based process, and defective GALNT3 causes HFTC. In combination with the results of the PPI network, miRNA-hub gene regulatory network and TF-hub gene regulatory network, hub genes including LRRK2, BMI1, EBP, MNDA, KBTBD7, KRT15, OTX1, TEKT4, SPAG8, and EFHC2 were selected. Cyclothiazide and rotigotinethe are predicted small drug molecules for IPF treatment. Our findings will contribute to identification of potential biomarkers and novel strategies for the treatment of IPF, and provide a novel strategy for clinical therapy.
Collapse
Affiliation(s)
- Muttanagouda Giriyappagoudar
- Department of Radiation Oncology, Karnataka Institute of Medical Sciences (KIMS), Hubballi 580022, Karnataka, India;
| | - Basavaraj Vastrad
- Department of Pharmaceutical Chemistry, K.L.E. Socitey’s College of Pharmacy, Gadag 582101, Karnataka, India;
| | - Rajeshwari Horakeri
- Department of Computer Science, Govt First Grade College, Hubballi 580032, Karnataka, India;
| | - Chanabasayya Vastrad
- Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karnataka, India
| |
Collapse
|
3
|
Sung J, Barratt KR, Pederson SM, Chenu C, Reichert I, Atkins GJ, Anderson PH, Smitham PJ. Unbiased gene expression analysis of the delayed fracture healing observed in Zucker diabetic fatty rats. Bone Joint Res 2023; 12:657-666. [PMID: 37844909 PMCID: PMC10578971 DOI: 10.1302/2046-3758.1210.bjr-2023-0062.r1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2023] Open
Abstract
Aims Impaired fracture repair in patients with type 2 diabetes mellitus (T2DM) is not fully understood. In this study, we aimed to characterize the local changes in gene expression (GE) associated with diabetic fracture. We used an unbiased approach to compare GE in the fracture callus of Zucker diabetic fatty (ZDF) rats relative to wild-type (WT) littermates at three weeks following femoral osteotomy. Methods Zucker rats, WT and homozygous for leptin receptor mutation (ZDF), were fed a moderately high-fat diet to induce T2DM only in the ZDF animals. At ten weeks of age, open femoral fractures were simulated using a unilateral osteotomy stabilized with an external fixator. At three weeks post-surgery, the fractured femur from each animal was retrieved for analysis. Callus formation and the extent of healing were assessed by radiograph and histology. Bone tissue was processed for total RNA extraction and messenger RNA (mRNA) sequencing (mRNA-Seq). Results Radiographs and histology demonstrated impaired fracture healing in ZDF rats with incomplete bony bridge formation and an influx of intramedullary inflammatory tissue. In comparison, near-complete bridging between cortices was observed in Sham WT animals. Of 13,160 genes, mRNA-Seq analysis identified 13 that were differentially expressed in ZDF rat callus, using a false discovery rate (FDR) threshold of 10%. Seven genes were upregulated with high confidence (FDR = 0.05) in ZDF fracture callus, most with known roles in inflammation. Conclusion These findings suggest that elevated or prolonged inflammation contributes to delayed fracture healing in T2DM. The identified genes may be used as biomarkers to monitor and treat delayed fracture healing in diabetic patients.
Collapse
Affiliation(s)
- Jonghoo Sung
- Centre for Orthopaedic and Trauma Research, Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Kate R. Barratt
- Clinical and Health Sciences, University of South Australia, Adelaide, Australia
| | - Stephen M. Pederson
- Bioinformatics Hub, School of Biological Sciences, The University of Adelaide, Adelaide, Australia
- Black Ochre Data Labs, Indigenous Genomics, Telethon Kids Institute, Adelaide, Australia
| | | | | | - Gerald J. Atkins
- Centre for Orthopaedic and Trauma Research, Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Paul H. Anderson
- Clinical and Health Sciences, University of South Australia, Adelaide, Australia
| | - Peter J. Smitham
- Centre for Orthopaedic and Trauma Research, Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| |
Collapse
|
4
|
Sadat-Ali M, Al-Omar HK, AlTabash KW, AlOmran AK, AlDakheel DA, AlSayed HN. Genetic Influence of Fracture Nonunion (FNU): A Systematic Review. Pharmgenomics Pers Med 2023; 16:569-575. [PMID: 37305020 PMCID: PMC10254683 DOI: 10.2147/pgpm.s407308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 05/26/2023] [Indexed: 06/13/2023] Open
Abstract
Purpose Nonunion of fractures occurs in about 15% of all fractures causing repeated surgical interference and prolonged morbidity. We performed this systematic review to assess genes and polymorphisms influencing fractures' nonunion (FNU). Methods We searched between 2000 and July 2022 in PubMed, EMBASE, the Cochrane Central Register of Controlled Trials and Cochrane Database of Systematic Reviews, Genome Wide Association Studies (GWAS) Catalog, and the Science Citation Index, with the keywords nonunion of fractures, genetic influence, and GWAS. The exclusion criteria were review articles and correspondence. The data were retrieved to determine the number of studies, genes, and polymorphisms and the total number of subjects screened. Results A total of 79 studies were reported on nonunion of fractures and genetic influence. After the inclusion and exclusion criteria, ten studies with 4402 patients' data were analyzed. Nine studies were case-controlled, and 1 GWAS. It was identified that patients with polymorphisms in the genes ANXA3, BMP2, CALY, CYR61, FGFR1, IL1β, NOG, NOS2, PDGF gene, and TACR1 are prone to develop a nonunion of fractures. Conclusion We believe that for patients who develop an early nonunion of fractures, a genetic study should be conducted for single nucleotide polymorphism (SNP) and genes so that alternative and more aggressive treatment can be performed to heal fractures without prolonged morbidity.
Collapse
Affiliation(s)
- Mir Sadat-Ali
- The Department of Orthopedic Surgery, King Fahd Hospital of the University, Imam AbdulRahman Bin Faisal University, Dammam, Saudi Arabia
| | - Hussain K Al-Omar
- Department of Orthopedic Surgery, King Fahd Military Medical City, Dhahran, Saudi Arabia
| | - Khalid W AlTabash
- The Department of Orthopedic Surgery, King Fahd Hospital of the University, Imam AbdulRahman Bin Faisal University, Dammam, Saudi Arabia
| | - Ammar K AlOmran
- The Department of Orthopedic Surgery, King Fahd Hospital of the University, Imam AbdulRahman Bin Faisal University, Dammam, Saudi Arabia
| | - Dakheel A AlDakheel
- The Department of Orthopedic Surgery, King Fahd Hospital of the University, Imam AbdulRahman Bin Faisal University, Dammam, Saudi Arabia
| | - Hasan N AlSayed
- The Department of Orthopedic Surgery, King Fahd Hospital of the University, Imam AbdulRahman Bin Faisal University, Dammam, Saudi Arabia
| |
Collapse
|
5
|
Saul D, Menger MM, Ehnert S, Nüssler AK, Histing T, Laschke MW. Bone Healing Gone Wrong: Pathological Fracture Healing and Non-Unions-Overview of Basic and Clinical Aspects and Systematic Review of Risk Factors. BIOENGINEERING (BASEL, SWITZERLAND) 2023; 10:bioengineering10010085. [PMID: 36671657 PMCID: PMC9855128 DOI: 10.3390/bioengineering10010085] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 12/31/2022] [Accepted: 01/05/2023] [Indexed: 01/11/2023]
Abstract
Bone healing is a multifarious process involving mesenchymal stem cells, osteoprogenitor cells, macrophages, osteoblasts and -clasts, and chondrocytes to restore the osseous tissue. Particularly in long bones including the tibia, clavicle, humerus and femur, this process fails in 2-10% of all fractures, with devastating effects for the patient and the healthcare system. Underlying reasons for this failure are manifold, from lack of biomechanical stability to impaired biological host conditions and wound-immanent intricacies. In this review, we describe the cellular components involved in impaired bone healing and how they interfere with the delicately orchestrated processes of bone repair and formation. We subsequently outline and weigh the risk factors for the development of non-unions that have been established in the literature. Therapeutic prospects are illustrated and put into clinical perspective, before the applicability of biomarkers is finally discussed.
Collapse
Affiliation(s)
- Dominik Saul
- Department of Trauma and Reconstructive Surgery, Eberhard Karls University Tübingen, BG Trauma Center Tübingen, 72076 Tübingen, Germany
- Kogod Center on Aging and Division of Endocrinology, Mayo Clinic, Rochester, MN 55905, USA
- Institute for Clinical and Experimental Surgery, Saarland University, 66421 Homburg, Germany
- Correspondence:
| | - Maximilian M. Menger
- Department of Trauma and Reconstructive Surgery, Eberhard Karls University Tübingen, BG Trauma Center Tübingen, 72076 Tübingen, Germany
- Institute for Clinical and Experimental Surgery, Saarland University, 66421 Homburg, Germany
| | - Sabrina Ehnert
- Department of Trauma and Reconstructive Surgery, Eberhard Karls University Tübingen, BG Trauma Center Tübingen, 72076 Tübingen, Germany
| | - Andreas K. Nüssler
- Department of Trauma and Reconstructive Surgery, Eberhard Karls University Tübingen, BG Trauma Center Tübingen, 72076 Tübingen, Germany
| | - Tina Histing
- Department of Trauma and Reconstructive Surgery, Eberhard Karls University Tübingen, BG Trauma Center Tübingen, 72076 Tübingen, Germany
| | - Matthias W. Laschke
- Institute for Clinical and Experimental Surgery, Saarland University, 66421 Homburg, Germany
| |
Collapse
|