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find Keyword "high-risk factor" 3 results
  • Research progress in osteonecrosis of femoral head following femoral intertrochanteric fractures in adults

    ObjectiveTo summarize the research progress of osteonecrosis of femoral head (ONFH) following femoral intertrochanteric fractures in adults.MethodsRelevant literature at home and abroad was extensively reviewed to summarize the pathogenesis, high-risk factors, and treatment of ONFH after femoral intertrochanteric fracture in adults.ResultsONFH after femoral intertrochanteric fracture mostly occurs within 2 years after operation, with a lower incidence. At present, it is believed that comminuted and large displacement fractures caused by high-energy injuries, fracture line close to the base of neck, excessive external rotation deformity, improper intramedullary nail entry points, and rough intraoperative manipulating may injury the deep branch of the medial circumflex femoral artery, causing ONFH. Hip replacement is the main treatment for necrosis, which can achieve good results.ConclusionAddressing the above risks, excessive external rotation, overstretching, and rough manipulating should be avoided. Anatomical reduction should be performed during the operation, the nail entry point should be accurate and avoid repeated drilling and thermally bone necrosis.

    Release date:2020-11-27 06:47 Export PDF Favorites Scan
  • Relation between age and postoperative pathological features of patients with colorectal cancer: a real-world study based on DACCA

    ObjectiveTo analyze the relation between age and postoperative pathological features of patients with colorectal cancer from Database from Colorectal Cancerr (DACCA). MethodsThe data in DACCA were updated on January 5, 2022. The patients were selected from DACCA according to the established screening conditions, then were divided into ≤35, 35–59, and ≥60 years old groups. The differences of postoperative pathological (p) TNM (pTNM), pT, pN, pM stages, perineural invasion (PNI), high-risk factors grade, and tumor regression grade (TRG) among the three age groups were analyzed, and the correlation between them was analyzed. ResultsAfter screening, 5 628 data rows were enrolled, of whom 196 patients were <35 years old, 2 382 patients were 35–59 years old, and 3 050 patients were >59 years old. Statistical analysis showed that: ① There were statistical differences in the proportions of pN stage, PNI, and high-risk factors grade in the patients of different age groups (H=27.867, P<0.001; H=6.248, P=0.044; H=19.712, P<0.001, respectively); However, it was not found that there were statistical differences in the proportions of pTNM, pT, pM stages, and TRG after neoadjuvant therapy among different age patients (H=0.920, P=0.631; H=4.923, P=0.085; H=2.272, P=0.321; H=2.337, P=0.311, respectively). The Spearman correlation analysis results showed that there was a weakly negative correlation between the age and pN stage or grade of high-risk factors (rs=–0.070, P<0.001; rs=–0.067, P<0.001, respectively) and a weakly positive correlation between age and TRG after neoadjuvant therapy (rs=0.100, P=0.009). ConclusionDACCA data analysis finds that patients of different age groups shows a negative correlation trend with pN stage or grade of high-risk factors and a positive correlation trend with TRG, which needs to be further verified.

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  • Clinical characteristics and prognosis of Omicron epidemic in Guang’an

    Objective To analyze the clinical characteristics of the Guang’an Omicron epidemic and summarize the management experiences and practices in pandemic prevention and control of major infectious diseases.Methods Retrospective analysis was performed on patients infected with coronavirus disease (COVID-19), afterwards treated and observed in the isolation ward of Guang’an People’s Hospital and the shelter of Guang’an City from May 9 to June 26, 2022. The characteristics of patients at different age stages and the related factors affecting the severity, re-positive and negative conversion was analyzed. Results Finally 1 278 patients were collected, including 508 males and 770 females, with an average age of 41.3±22.6 years. Among them, 1 054 patients were asymptomatic carriers. The overall severe rate was 0.86%, the severe rate of the high-risk group was 3.06%. The median negative conversion time was 10.0 days and re-positive rate was 7.36%. Patients aged>60 years were 2.589 times more likely to have a longer negative conversion time than those aged≤60 years (95%CI 1.921-3.489, P<0.001). Conclusion The clinical characteristics of Guang’an COVID-19 epidemic are mainly that the elderly with high risk factors are more likely to develop severe cases, have longer clearance time, and re-positve is more likely to occur.

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