BACKGROUND:Elderly patients with hip surgery in the department of orthopedics are often associated with a variety of diseases, and easily suffer from complications after implantation.
OBJECTIVE:To analyze the characteristics and the factors of complications and mortality of the elderly patients with hip disease by different orthopedic implants.
METHODS:249 patients accepted total hip arthroplasty, femoral head replacement, proximal femoral nail, Gamma nail, and holow screw fixation. We analyzed patients’ age, sex, hip disease type, anesthesia risk assessment, psychological and psychiatric factors, admission hemoglobin, preoperative albumin, Charlson comorbidity index, ways of anesthesia, orthopedic implants, operation time, intraoperative bleeding, length of stay, postoperative complications, mortality and survival.
RESULTS AND CONCLUSION:Hip disease in the elderly was repaired with five kinds of implants. (1) There were significant differences in age, anesthesia risk assessment, hemoglobin on admission and preoperative albumin, length of stay, duration and intraoperative bleeding. No significant difference in complications and death was found. (2) The most significant indicators affecting complications were length of stay and albumin on admission and preoperative Charlson comorbidity index. The most significant
indicators affecting death were age and hemoglobin on admission and preoperative Charlson comorbidity index. (3) Significance of comprehensive assessment of patients before placement: during hip operation, implants were not the factors that affected the complications and mortality after placement, patients with artificial joint replacement could get out of bed early, and complications and mortality could be reduced. Elderly patients with anemia, hypoalbuminemia and Charlson comorbidity index≥3 should be given a high degree of attention. We should assess Charlson comorbidity index as early as possible, positively treat complications, correct anemia and hypoproteinemia, prevent the occurrence of complications, shorten the length of hospital stay, and reduce the mortality after placement.

Objective To investigate the expression of monocyte subsets and their chemokine,i.e.,monocyte chemoattractant protein (MCP-1) and fractalkine (FKN),in patients with acute coronary svndrome (ACS),and to analyze their correlation.Methods Patients with the syndrome of pectoralgia and to be inspected with coronary angiography (CAG) in our hospital from Sep.to Dec.,2016 were included.Patients' venous blood was collected on the operation day before operation,the level and proportion of monocyte (Mon) subsets,which was namely CD14 + CD16-Mon (Mon1),CD14+CD16 + Mon (Mon2) and CD14-CD16 + Mon (Mon3) according to the expression of cluster differentiation-14 (CD14) and CD16,were detected by flow cytometry (FCM).Patients' venous blood was collected on the operation day before operation and one day after operation,the concentrations of MCP-1 and FKN in plasma were measured by ELISA.We compared the expression levels of MCP-1-Mon1 and FKN-Mon3,and analyzed their relationship between each other respectively in different groups.Results Diagnosed according to the clinical symptoms,myocardial markers,electrocardiogram and CAG results,70 individuals were analyzed,including 30 patients with acute myocardial infarction (AMI group),25 patients with unstable angina pectoris (UAP group) and 15 patients with the chest pain symptoms and normal CAG results (control group).The percentage of Mon1 in the AMI group was higher than that in the other groups (P＜0.05);no difference was observed for Mon3 among the groups (P＞0.05).The Mon3/Mon1 ratio in the AMI group was lower than that in the control group (P＜0.05).Moreover,the levels of FKN and MCP-1 in the ACS group were greater than those in the control group.The level of red blood cell distribution width (RDW) was significantly increased in the AMI and UAP group than that in the control group (P＜0.05).There was a significant correlation between FKN and Mon3 (P＜0.05,R=0.650 2).Conclusions The monocyte subset of Mon1 and Mon3 increased in the early stage of ACS,with their chemokine (FKN and MCP-1) increasing at the same time.There is a significant correlation between FKN and Mon3,which indicates MCP-1-Mon1 and FKN-Mon3 may participate in the pathophysiological process of early ACS in patients.

Objective:To investigate the risk factors for preoperative hypoxemia in geriatric patients with hip fracture.Methods:A case-control study was used to analyze the clinical data of 99 geriatric patients with hip fracture admitted to Zhongda Hospital affiliated to Southeast University between November 2020 and August 2021. There were 29 males and 70 females, aged 67-96 years [(82.6±6.2)years]. The patients were divided into hypoxemia group ( n=51) and non-hypoxemia group ( n=48) using partial arterial partial pressure of oxygen (PaO 2)<80 mmHg while breathing room air at emergency as the reference standard. The two groups were compared in terms of sex, age, fracture types, body mass index (BMI), American Society of Anesthesiologists (ASA) classification, pulmonary diseases diagnosed by preoperative chest CT [atelectasis, pleural effusion, chronic obstructive pulmonary disease (COPD)], time from injury to visit, New York Heart Association (NYHA) classification, Barthel index, KATZ index, modified Medicine Research Council (mMRC) dyspnea scale, numeric rating scale (NRS), smoking, drinking, comorbidities (hypertension, diabetes mellitus, Parkinson′s disease, Alzheimer′s disease, cerebral infarction, coronary atherosclerotic heart disease), body temperature, blood routine test at first examination (erythrocyte count, leukocyte count, C-reactive protein, hemoglobin), biochemistry (serum albumin, blood glucose, blood creatinine, blood urea nitrogen), electrolyte (serum potassium, serum sodium), and other related examinations [D-dimer, brain natriuretic peptide (BNP), lactic acid]. Univariate analysis was performed to the correlation of those indicators with preoperative hypoxemia. Multivariate Logistic regression analysis was used to identify the independent risk factors for preoperative hypoxemia in geriatric patients with hip fracture. Results:Differences in sex, age, fracture types, BMI, pulmonary diseases diagnosed by preoperative chest CT, time from injury to visit, Barthel index, KATZ index, NRS, smoking, drinking, comorbidities, body temperature, first laboratory results of erythrocyte count, biochemistry, electrolyte and other related examinations were not statistically significant between the two groups (all P>0.05). The two groups showed statistical differences in ASA classification, NYHA classification, mMRC dyspnea scale, leukocyte count at first examination, C-reaction protein and hemoglobin (all P<0.05). Univariate analysis indicated that ASA classification, NYHA classification, mMRC dyspnea scale, leukocyte count at first examination and C-reaction protein were correlated with the occurrence of preoperative hypoxemia in geriatric patients with hip fracture (all P<0.05). Multivariate Logistic regressions analysis indicated that higher mMRC dyspnea scale ( OR=2.30, 95% CI 1.10-4.81, P<0.05), higher leukocyte count at first examination ( OR=1.24, 95% CI 1.05-1.45, P<0.05), higher level of C-reaction protein ( OR=1.02, 95% CI 1.01-1.03, P<0.05) and higher level of hemoglobin ( OR=1.04, 95% CI 1.01-1.07, P<0.05) were significantly correlated with the occurrence of preoperative hypoxemia in geriatric patients with hip fracture. Conclusion:Higher mMRC dyspnea scale, higher leukocyte count, higher level of C-reaction protein and higher level of hemoglobin are independent risk factors for preoperative hypoxemia in geriatric patients with hip fracture.

Objective:To analyze the risk factors for postoperative one-year mortality in elderly patients with femoral intertrochanteric fracture following multidisciplinary treatment (MDT) by intramedullary nailing.Methods:The clinical data were retrospectively analyzed of the 158 elderly patients with femoral intertrochanteric fracture who had undergone MDT by proximal femoral intramedullary nailing between January 2018 and August 2020 at Department of Orthopedics, Trauma Center, Zhongda Hospital Affiliated to Southeast University. There were 41 males and 117 females with an average age of 82.5 years (from 65 to 95 years). By the modified Evans classification, there were 15 cases of type Ⅰ, 16 cases of type Ⅱ, 35 cases of type Ⅲ, 81 cases of type Ⅳ, and 11 cases of type Ⅴ. The one-year mortality was documented in the patients after surgery. To screen for risk factors, univariate analysis was conducted of gender, age, body mass index (BMI), modified Evans classification of fractures, time from injury to operation, American Society of Anesthesiologists (ASA) classification, Charlson comorbidity index (CCI) and comorbidities, as well as preoperative hemoglobin (Hb), serum albumin (ALB) and total lymphocyte count (TLC). The factors with P<0.05 were included in the multivariate logistic regression model analysis to determine the risk factors. Results:A total of 13 patients died within one year after surgery, yielding a mortality of 8.2% (13/158). Univariate analysis showed significant differences in age, body mass index, modified Evans classification of fractures, CCI and Hb between the surviving and dead patients ( P<0.05). Multivariate logistic regression analysis showed that age >85 years ( OR=0.122, 95% CI: 0.018 to 0.834, P=0.032), BMI>23.9 kg/m 2 ( OR=0.083, 95% CI: 0.013 to 0.510, P=0.007), CCI≥3 points ( OR=0.051, 95% CI: 0.090 to 0.275, P=0.001) and preoperative Hb<90 g/L ( OR=4.733, 95% CI: 1.036 to 21.624, P=0.045) were the independent risk factors for postoperative one-year mortality in the elderly patients with intertrochanteric fracture following MDT by proximal femoral intramedullary nailing. Conclusions:After MDT by proximal femoral intramedullary nailing of femoral intertrochanteric fractures, the geriatric patients with an age >85 years, BMI>23.9 kg/m 2, CCI≥3 points and Hb<90 g/L are likely to die. Therefore, special care should be taken for them.

Objective:To analyze the characteristics and risk factors of previous low-energy fractures in elderly patients with hip fractures admitted to our hospital.Methods:The data for this study was collected from 596 hip fracture patients admitted to Zhongda Hospital Affiliated to Southeast University between January 2018 and December 2021.Out of these patients, there were 404 females and 192 males.Based on the history of low-energy fracture before hip fracture, the patients were divided into two groups: a low-energy fracture group and a non-low-energy fracture group.A comparison was made between the two groups in terms of gender, age, fracture type, BMI, number of combined medical diseases, ASA score, and other characteristics.Results:The study included a total of 596 patients, with 368 patients having no history of low-energy fractures and 228 patients with low-energy fractures.Among the patients with low-energy fractures, there were 118 vertebral fractures, 69 hip fractures, 57 rib fractures, 19 radial fractures, 14 humerus fractures, and 12 patella fractures.Univariate analysis revealed significant differences in age, gender, fracture type, number of combined medical diseases, and ASA score between the two groups( P<0.05 for all). The results of multivariate Logistic analysis indicated that age( OR=1.046, 95% CI: 1.022-1.070), female sex( OR=1.474, 95% CI: 1.011-2.148), and the number of comorbid medical diseases( OR=1.211, 95% CI: 1.113-1.318)were independent risk factors for patients with a history of low-energy fractures. Conclusions:Our findings provide evidence that vertebral, hip, and rib fractures were the three most common previous low-energy fractures in elderly patients with hip fractures.We identified age, female gender, and number of medical diseases as independent risk factors for prior low-energy fractures in this population.

Chimeric antigen receptor (CAR) T cells have been indicated effective in treating B cell acute lymphoblastic leukemia and non-Hodgkin lymphoma and have shown encouraging results in preclinical and clinical studies. However, CAR T cells have achieved minimal success against solid malignancies because of the additional obstacles of their insufficient migration into tumors and poor amplification and persistence, in addition to antigen-negative relapse and an immunosuppressive microenvironment. Various preclinical studies are exploring strategies to overcome the above challenges. Mobilization of endogenous immune cells is also necessary for CAR T cells to obtain their optimal therapeutic effect given the importance of the innate immune responses in the elimination of malignant tumors. In this review, we focus on the recent advances in the engineering of CAR T cell therapies to restore the immune response in solid malignancies, especially with CAR T cells acting as cellular carriers to deliver immunomodulators to tumors to mobilize the endogenous immune response. We also explored the sensitizing effects of conventional treatment approaches, such as chemotherapy and radiotherapy, on CAR T cell therapy. Finally, we discuss the combination of CAR T cells with biomaterials or oncolytic viruses to enhance the anti-tumor outcomes of CAR T cell therapies in solid tumors.
Humans ; Immunotherapy, Adoptive ; Neoplasms/therapy* ; T-Lymphocytes ; Tumor Microenvironment

OBJECTIVE: To review the current applications of machine learning in orthopaedic trauma and anticipate its future role in clinical practice. METHODS: A comprehensive literature review was conducted to assess the status of machine learning algorithms in orthopaedic trauma research, both nationally and internationally. RESULTS: The rapid advancement of computer data processing and the growing convergence of medicine and industry have led to the widespread utilization of artificial intelligence in healthcare. Currently, machine learning plays a significant role in orthopaedic trauma, demonstrating high performance and accuracy in various areas including fracture image recognition, diagnosis stratification, clinical decision-making, evaluation, perioperative considerations, and prognostic risk prediction. Nevertheless, challenges persist in the development and clinical implementation of machine learning. These include limited database samples, model interpretation difficulties, and universality and individualisation variations. CONCLUSION The expansion of clinical sample sizes and enhancements in algorithm performance hold significant promise for the extensive application of machine learning in supporting orthopaedic trauma diagnosis, guiding decision-making, devising individualized medical strategies, and optimizing the allocation of clinical resources.
Artificial Intelligence ; Orthopedics ; Machine Learning ; Algorithms