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Li J, Qi L, Liu N, Yi C, Liu H, Chen H, Tang P. A New Technology Using Mixed Reality Surgical Navigation with the Unlocking Closed Reduction Technique Frame to Assist Pelvic Fracture Reduction and Fixation: Technical Note. Orthop Surg 2023; 15:3317-3325. [PMID: 37749773 PMCID: PMC10693998 DOI: 10.1111/os.13874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 07/31/2023] [Accepted: 08/04/2023] [Indexed: 09/27/2023] Open
Abstract
BACKGROUND Pelvic ring disruption (PRD) is a serious trauma associated with high mortality and disability rates. Poor reduction can lead to complications such as pelvic deformity and delayed fracture healing. Here, we introduce a new technology using mixed reality surgical navigation (MRSN) with an unlocking closed reduction technique (UCRT) frame to assist pelvic fracture reduction and fixation. METHODS Thirty patients with PRD were enrolled in this study. All of the patients underwent preoperative CT scans, with the pelvis and tracker segmented into three-dimensional models. Under MRSN guidance, auxiliary reduction screws were inserted to grasp the pelvic bone. An ideal trajectory for closed reduction was planned, and suitable CS screws were used for stable fixation after good reduction. Operation time, fluoroscopy frequency, and both Matta and Majeed scores were analyzed. RESULTS The mean follow-up period was 10.8 months (7.5, 12.25 months) (range 6-24 months). The average duration of operation was 212.5 min (187.5, 272.8 min) (range 133-562 min), and the average reduction time was 23.0 min (15.0, 42.5 min) (range 10-70). The average fluoroscopy frequency was 34.0 times (31.5, 52.5 times) (range 23-68 times). One hundred and fifty screws were successfully inserted on the first attempt. All the fractures healed well with no complications. Excellent reduction quality (Matta score ≤4 mm) was achieved in 29/30 cases, and good reduction quality (Matta score between 4 and 10 mm) was achieved in 1/30 cases. All patients achieved bone healing after an average of 4.0 months (3.5, 5.9 months) (range 3-6), as well as good function recovery with an average Majeed score of 91.0 (87.8, 95.0) (range 71-100). CONCLUSION The MRSN technique described improved reduction accuracy and radiation exposure without considerable extension of operation time.
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Affiliation(s)
- Jiaqi Li
- Chinese PLA General Medical SchoolBeijingChina
- Department of Orthopaedic TraumaFourth medical center of Chinese PLA General hospitalBeijingChina
| | - Lin Qi
- Chinese PLA General Medical SchoolBeijingChina
- Department of Orthopaedic TraumaFourth medical center of Chinese PLA General hospitalBeijingChina
| | - Ning Liu
- Department of Orthopaedic TraumaFourth medical center of Chinese PLA General hospitalBeijingChina
| | - Chengla Yi
- Department of Traumatic Surgery, Tongji HospitalTongji Medical College, Huazhong University of Science and TechnologyWuhanChina
| | - Haoyang Liu
- AI Sports Engineering Lab, School of Sports EngineeringBeijing Sport UniversityBeijingChina
| | - Hua Chen
- Chinese PLA General Medical SchoolBeijingChina
- Department of Orthopaedic TraumaFourth medical center of Chinese PLA General hospitalBeijingChina
| | - Peifu Tang
- Chinese PLA General Medical SchoolBeijingChina
- Department of Orthopaedic TraumaFourth medical center of Chinese PLA General hospitalBeijingChina
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Sun Y, Yan Y, Liao Y, Chu C, Guo T, Ma Q, Wang Y, Wang D, Jia H, Mu J. The new visceral adiposity index outperforms traditional obesity indices as a predictor of subclinical renal damage in Chinese individuals: a cross-sectional study. BMC Endocr Disord 2023; 23:78. [PMID: 37029402 PMCID: PMC10080835 DOI: 10.1186/s12902-023-01330-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 03/29/2023] [Indexed: 04/09/2023] Open
Abstract
BACKGROUND The new visceral adiposity index (NVAI) was superior to previous obesity indices in predicting cardiovascular diseases among Asians. Nevertheless, the utility of the NVAI for predicting chronic kidney disease is still unclear. The objective of this research was to explore the relationship between the NVAI and subclinical renal damage (SRD) and to investigate whether the NVAI outperforms other common obesity indices in predicting SRD in the Chinese population. METHODS Participants in this cross-sectional study were from the Hanzhong Adolescent Hypertension Cohort. The NVAI and seven other common obesity indices were calculated, including body mass index, waist circumference, lipid accumulation product, visceral adiposity index, Chinese visceral adiposity index, a body shape index and metabolic score for visceral fat. Logistic regression models revealed the association between NVAI and SRD. The odds ratio (OR) and the 95% confidence interval (CI) were calculated to show the association between the two variables. The predictive power of eight obesity indices for SRD was evaluated through the receiver operating characteristic curve and area under the curve (AUC). In addition, the net reclassification index (NRI) and integrated discrimination improvement (IDI) were also applied to compare the incremental predictive value for SRD of different obesity indices. RESULTS The median age of the 2358 subjects was 42.00 years. Across NVAI tertiles, the prevalence of SRD was 7.25%, 11.21%, and 21.60%, respectively. After adjusting for confounders, a high level of NVAI remained a risk factor for SRD. The ORs of the middle and top NVAI tertiles for SRD were 1.920 (95% CI: 1.322, 2.787) and 4.129 (95% CI: 2.750, 6.202), respectively. The AUC of the NVAI was 0.666 (95% CI: 0.647, 0.685), which was significantly larger than the AUC of any of the other obesity indicators. Moreover, the NRI and IDI were significantly improved when NVAI was added to the basic model for predicting SRD. Among eight obesity indices, NVAI had the highest NRI (0.392; 95% CI: 0.280, 0.503), and its IDI (0.021; 95% CI: 0.014, 0.027) was second only to that of the body mass index (0.023; 95% CI: 0.014, 0.032). CONCLUSIONS NVAI is independently and positively associated with SRD. Among the eight obesity indices, the NVAI shows the strongest predictive power for SRD in the Chinese population. The NVAI may be useful as an effective warning indicator of chronic kidney disease in Chinese adults.
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Affiliation(s)
- Yue Sun
- Department of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, 710061, Shaanxi, China
- Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, Shaanxi, China
| | - Yu Yan
- Department of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, 710061, Shaanxi, China
- Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, Shaanxi, China
| | - Yueyuan Liao
- Department of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, 710061, Shaanxi, China
- Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, Shaanxi, China
| | - Chao Chu
- Department of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, 710061, Shaanxi, China
- Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, Shaanxi, China
| | - Tongshuai Guo
- Department of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, 710061, Shaanxi, China
- Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, Shaanxi, China
| | - Qiong Ma
- Department of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, 710061, Shaanxi, China
- Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, Shaanxi, China
| | - Yang Wang
- Department of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, 710061, Shaanxi, China
- Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, Shaanxi, China
| | - Dan Wang
- Department of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, 710061, Shaanxi, China
- Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, Shaanxi, China
| | - Hao Jia
- Department of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, 710061, Shaanxi, China
- Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, Shaanxi, China
| | - Jianjun Mu
- Department of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, 710061, Shaanxi, China.
- Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China.
- Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, Shaanxi, China.
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