Reduced recurrence rate and comparable functionality after wide resection and reverse total shoulder arthroplasty with allograft-prosthetic composite versus curettage for proximal humeral giant cell tumor: a multicenter retrospective study.

BACKGROUND: Giant cell tumors of bone (GCTBs) are rare, aggressive tumors, and the proximal humerus is a relatively rare location for GCTBs; limited evidence exists on which surgical approaches and reconstruction techniques are optimal. In the largest case series to date, we evaluated the recurrence rate of proximal humeral GCTBs and the functional outcomes of different resection and reconstruction options in this multicenter study. METHODS: All 51 patients included in this study received initial surgical treatment for proximal humeral GCTBs from January 2007 to December 2020, with a minimum 2-year follow-up period. Local recurrence and functional outcomes were statistically analyzed in relation to demographic, clinical, and primary surgical variables. Functional outcomes were reported by patients and were assessed by the Musculoskeletal Tumor Society score and QuickDASH instrument (shortened version of the Disabilities of the Arm, Shoulder and Hand instrument). RESULTS: The mean follow-up period was 81.5 months (range, 30-191 months), and the overall recurrence rate was 17.6% (9 of 51 patients). The majority of recurrences (n = 7) occurred in the first 2 years of follow-up. The intralesional curettage group (n = 23) showed a statistically significant difference in the recurrence rate compared with the en bloc resection group (n = 28) (34.8% vs. 3.6%, P = .007). Among shoulders receiving en bloc resection, 16 were reconstructed with hemiarthroplasty; 8, reverse total shoulder arthroplasty (rTSA) with allograft-prosthetic composite (APC) reconstruction; and 4, arthrodesis. On the basis of intention-to-treat analysis, the mean functional Musculoskeletal Tumor Society scores of the groups undergoing curettage, rTSA with APC, hemiarthroplasty, and arthrodesis were 26.0 ± 3.1, 26.0 ± 1.7, 20.3 ± 2.8, and 22.5 ± 1.3, respectively (P < .001 [with P < .001 for curettage vs. hemiarthroplasty and P = .004 for rTSA with APC vs. hemiarthroplasty]) and the mean QuickDASH scores were 14.0 ± 11.0, 11.6 ± 4.5, 33.1 ± 11.8, and 21.6 ± 4.7, respectively (P < .001 [with P < .001 for curettage vs. hemiarthroplasty and P = .003 for rTSA with APC vs. hemiarthroplasty]). CONCLUSIONS: On the basis of our data, en bloc resection followed by reverse shoulder arthroplasty showed a lower recurrence rate and no significant difference in functional outcome scores for proximal humeral GCTBs compared with intralesional curettage. Therefore, we believe that rTSA with APC may be reasonable for the initial treatment of proximal humeral GCTBs.

Increased Rate of Complications Following Total Knee Arthroplasty in Patients Who Have Polymyositis.

BACKGROUND: Polymyositis (PM) is a systemic connective tissue disorder that can lead to early onset degenerative joint disease and a need for total knee arthroplasty (TKA). Outcomes of TKA in patients who have PM are not well documented in the literature. The purpose of this study was to evaluate PM as a risk factor for complications after TKA. METHODS: Using a national private payer insurance database from 2010 to 2022, PM patients undergoing primary TKA were compared to 10:1 matched controls based on age, sex, and comorbidities. Multivariable logistic regression analyses were done for medical complications up to 90 days and surgical complications up to 2 years. 90-day emergency department visits and inpatient readmissions were also documented. A total of 25,039 patients undergoing primary TKA were queried, of which 2,290 had PM. RESULTS: Compared to the matched controls, patients who had PM demonstrated higher rates of medical and surgical complications, including pulmonary embolism (1.0% versus 0.5%, P = .001), cerebrovascular accident (1.3% versus 0.7%, P = .002), wound complications (3.4% versus 2.1%, P < .001), and periprosthetic joint infection at 1 year (1.7% versus 1.3%, P = .042) and 2 years (2.6% versus 1.9%, P = .006). Patients who had PM displayed elevated 90-day emergency department (14.9% versus 13.3%, P = .032) and hospital readmission rate (7.1% versus 4.8%, P < .001). CONCLUSIONS: Patients who have PM are at higher risks of postoperative medical and surgical complications, including pulmonary embolism, cerebrovascular accident, wound complication, and periprosthetic joint infection. Given these results, it is helpful for orthopedic surgeons and patients to consider these risks when considering TKA for patients who have PM.

Increased Rate of Complications Following Total Knee Arthroplasty in Patients Who Have Marfan Syndrome.

BACKGROUND: Outcomes of Marfan syndrome (MFS) patients after total knee arthroplasty (TKA) are poorly documented in the literature. The purpose of this study was to evaluate MFS as a potential risk factor for complications after TKA. METHODS: Using a national private payer insurance database from 2010 to 2022, MFS patients undergoing primary TKA were identified and compared to 10:1 matched controls based on age, sex, obesity, diabetes mellitus, and a comorbidity index. A total of 4,092 patients undergoing primary TKA were analyzed, of which 372 had MFS. Multivariable logistic regression analyses were done for medical complications up to 90 days and surgical complications up to 2 years. 90-day emergency department-visits and inpatient readmissions were also documented. RESULTS: Compared to the matched controls, patients who have MFS displayed elevated rates of surgical complications, including prosthetic instability (1-year, odds ratio (OR) 3.88, 95% confidence interval (CI) [1.58 to 8.66]; 2-year, OR 4.39, 95% CI [2.16 to 8.44]), and revision surgery (2 year, OR 1.79, 95% CI [1.05 to 2.91]). Additionally, patients who have MFS demonstrated significant higher rates of medical complications, including aortic dissection (2.15 versus 0%) and transfusion (OR 2.63, 95% CI [1.31 to 4.90]). CONCLUSIONS: Patients who have MFS are at higher risks of postoperative complications after TKA, encompassing both medical and surgical complications. Specifically, patients who have MFS have a significantly higher likelihood of experiencing prosthetic instability and requiring revision surgery. Given these results, it is crucial for orthopedic surgeons and patients alike to consider these risks when determining a course of TKA for patients who have MFS.

Effect of Patient Age on Total Hip Arthroplasty Outcomes in Patients Who Have Osteonecrosis of the Femoral Head Compared to Patients Who Have Hip Osteoarthritis.

BACKGROUND: Osteonecrosis of the femoral head (ONFH) affects both young and old patients. However, outcomes following total hip arthroplasty (THA) for these patients may vary with age. This study aimed to examine the effect of age on THA outcomes for non-traumatic ONFH patients, an area currently lacking research. METHODS: Patients who had non-traumatic ONFH undergoing THA with at least 2 years of follow-up were identified using a database and divided into four groups by age. Then, 4 matched control groups of patients who had hip osteoarthritis (OA) were created. Multivariate logistic regression analyses were used to evaluate the rates of medical and surgical complications. Additionally, cohorts with a minimum 5-year follow-up were filtered to obtain further data on surgical outcomes. The study analyzed 85,462 non-traumatic ONFH and 80,120 hip OA patients undergoing THA. RESULTS: Multiple medical complications in ONFH patients increased with age. Periprosthetic fracture within 2 years increased with age, while 90-day wound complications, 2-year periprosthetic joint infections, dislocations, and revisions decreased. The trends for complications continued at the 5-year follow-up. Compared to OA patients, those who had ONFH had higher risks of most complications, but this discrepancy decreased with age. CONCLUSIONS: In ONFH patients undergoing THA, medical complications generally rise with age, while most surgical complications, including revisions, decrease. It is notable that ONFH patients experienced more complications than those who had OA, but this difference diminished with age.

Chinese medical entity recognition based on the dual-branch TENER model.

BACKGROUND: Named Entity Recognition (NER) is a long-standing fundamental problem in various research fields of Natural Language Processing (NLP) and has been practiced in many application scenarios. However, the application results of NER methods in Chinese electronic medical records (EMRs) are not satisfactory, mainly due to the following two problems: (1) Existing methods do not take into account the impact of medical terminology on model recognition performance, resulting in poor model performance. (2) Existing methods do not fully utilize the Chinese language features contained in EMR, resulting in poor model robustness. Therefore, it is imminent to solve these two problems regarding the performance of the NER model for EMRs. METHODS: In this paper, a TENER-based radical feature and entity augmentation model for NER in Chinese EMRs is proposed. The TENER model is first used in the pre-training stage to extract deep semantic information from each layer of the feature extractor. In the decoder part, the recognition of medical entity boundary and entity category are divided into two branch tasks. RESULTS: We compare the overall performance of the proposed model with existing models on different datasets using the computed F1 score evaluation metric. The experimental results show that our model achieves the best F1 score of 82.67%, 74.37%, 70.16% on the CCKS2019, ERTCMM, and CEMR data sets. Meanwhile, in the CMeEE challenge, our model surpassed the top-3 with the F1 score of 68.39%. CONCLUSIONS: Our proposed model is the first to divide the NER task into a two-branch tasks, entity boundary and types recognition. Firstly, the medical entity dictionary information is integrated into TENER to obtain the feature information of professional terms in Chinese EMRs. Secondly, the features of Chinese radicals in Chinese EMRs extracted by CNN are added to the entity category recognition task. Finally, the effectiveness of the model is validated on four datasets and competitive results are achieved.

Outcomes Following Total Hip Arthroplasty in Patients Who Have Charcot Neuroarthropathy of the Hip.

BACKGROUND: Historically, Charcot neuroarthropathy hip (CNH) was deemed a contraindication for total hip arthroplasty (THA). However, as implant design and surgical techniques advance, THA for CNH has been performed and documented in literature. Information regarding the outcomes of THA for CNH is limited. The objective of the study was to assess outcomes following THA in patients who have CNH. METHODS: Patients who have CNH underwent primary THA and had at least 2 years of follow-up were identified in a national insurance database. For comparison, a 1:10 matched control cohort of patients who did not have CNH was created based on age, sex, and relevant comorbidities. Eight hundred and ninety-five CNH patients who underwent primary THA were compared to 8,785 controls. Medical outcomes, emergency department visits, hospital readmissions, and surgical outcomes including revisions between cohorts were evaluated using multivariate logistic regressions. RESULTS: The CNH patients were found to have higher risks of 90-day wound complications (P = .014), periprosthetic joint infection (P = .013) (P = .021), dislocation (P < .001) (P < .001), aseptic loosening (P = .040) (P = .002), periprosthetic fracture (P = .003) (P < .001), and revision (P < .001) (P < .001) at 1-year and 2-year follow-up, respectively. CONCLUSION: While patients who have CNH are at a higher risk of wound and implant-related complications, they are comparatively lower than previously reported in literature. Orthopaedic surgeons should be cognizant of the increased risk in this population to provide appropriate preoperative counseling and enhanced perioperative medical management.

Risks Following Total Knee Arthroplasty in Patients Who Have Antiphospholipid Syndrome.

BACKGROUND: Antiphospholipid syndrome (APS) is recognized as a thrombophilic autoimmune condition characterized by a tendency to develop venous thromboembolism. Total knee arthroplasty (TKA) is a prevalent procedure in patients who have advanced knee arthritis. Notably, TKA is unequivocally considered a thrombotic risk factor. However, outcomes of APS patients after TKA are still poorly documented in literature. The purpose of this study was to evaluate APS as a potential risk factor for complications after TKA. METHODS: Using the PearlDiver Mariner database from 2010 to 2022, APS patients undergoing primary TKA were identified and compared to 10:1 matched control based on age, sex, and relevant comorbidities. A total of 7,478 patients undergoing primary TKA were analyzed, of which 683 had APS. Multivariable logistic regression analyses were done for medical complications up to 90 days and surgical complications including revision up to 2 years. Ninety-day emergency department visit and inpatient readmission were also documented. RESULTS: Within 90 days after TKA, patients who have APS exhibited higher rates of cerebrovascular accident (adjusted odds ratio 2.04, 95% confidence interval 1.12 to 3.57; P = .014) and deep vein thrombosis (adjusted odds ratio 2.87, 95% confidence interval 1.99 to 4.06; P < .001) as compared to matched controls. No difference in surgical or nonthrombotic medical complications was observed between 2 cohorts. CONCLUSIONS: There were significantly higher rates of stroke and deep vein thrombosis in APS patients. Our study did not find statistical differences in other surgical complications or readmissions between the 2 groups. Orthopaedic surgeons should consider appropriate prophylaxis of thrombosis in this patient population undergoing TKA perioperatively.

Outcomes Following Hemiarthroplasty for Femoral Neck Fracture in Patients Who Have Hemiparesis.

BACKGROUND: Hemiparesis increases the risk of femoral neck fracture (FNF) in the elderly, which frequently necessitates hemiarthroplasty. There are limited reports on the outcomes of hemiarthroplasty in patients who have hemiparesis. The purpose of this study was to evaluate hemiparesis as a potential risk factor for medical and surgical complications following hemiarthroplasty. METHODS: Hemiparetic patients who have concomitant FNF and underwent hemiarthroplasty with at least 2 years of follow-up were identified using a national insurance database. A 10:1 matched control cohort of patients who did not have hemiparesis was created for comparison. There were 1,340 patients who have and 12,988 patients who did not have hemiparesis undergoing hemiarthroplasty for FNF. Multivariate logistic regression analyses were used to evaluate rates of medical and surgical complications between the 2 cohorts. RESULTS: Aside from increased rates of medical complications including cerebrovascular accident (P < .001), urinary tract infection (P = .020), sepsis (P = .002), and myocardial infarction (P < .001), patients who have hemiparesis also experienced higher rates of dislocation within 1 and 2 years (Odds Ratio (OR) 1.54, P = .009; OR 1.52, P = .010). Hemiparesis was not associated with higher risk of wound complications, periprosthetic joint infection, aseptic loosening, and periprosthetic fracture, but was associated with higher incidence of 90-day ED-visits (OR 1.16, P = .031) and 90-day readmission (OR 1.32, P < .001). CONCLUSION: While patients who have hemiparesis do not have increased risk of implant-related complications other than dislocation, they are at increased risk of developing medical complications following hemiarthroplasty for FNF.

Increased rate of complications following total knee arthroplasty in patients with systemic sclerosis.

PURPOSE: Outcomes after total knee arthroplasty (TKA) for patients with systemic sclerosis (SSc) are poorly documented in the literature. The purpose of this study was to evaluate SSc as a potential risk factor for increased rate of complications after TKA. METHODS: Using the PearlDiver Mariner database, 2,002 patients with SSc undergoing primary TKA were identified and compared to matched controls of 19,892 patients without SSc. Multivariable logistic regression analyses were done for medical complications up to 90 days and surgical complications up to two years. 90-day ED-visit and inpatient readmission were also documented. RESULTS: Compared to the matched controls, patients with SSc demonstrated higher rates of medical complications such as cerebrovascular accident (1.5% vs 0.6%, p < 0.001), myocardial infarction (1.3% vs 0.3%, p < 0.001), and sepsis (1.1% vs 0.4%, p < 0.001). Additionally, patients with SSc displayed elevated rates of surgical complications, including wound complications (3.9% vs 2.2%, p < 0.001) and aseptic loosening at 90 days (0.2% vs 0.1%; OR 3.53 [1.13-9.28]), one year (0.7% vs 0.4%; OR 1.78 [0.96-3.05]), and two years (1.4% vs 0.9%; OR 1.68 [1.10-2.45]). Patients with SSc also had higher rates of emergency department visits (21.2% vs 11.4%, p < 0.001). CONCLUSIONS: Patients with SSc are at higher risks of postoperative complications, encompassing both medical and surgical complications. Specifically, patients with SSc have a significantly higher likelihood of experiencing wound complications, cerebrovascular accident, and myocardial infarction. It is crucial for orthopaedic surgeons and patients alike to consider the elevated risks when determining a course of TKA for patients with SSc.

The impact of Behcet syndrome on total knee arthroplasty outcomes: a retrospective matched cohort study.

PURPOSE: Articu lar involvement is a common manifestation of Behcet syndrome (BS), which can eventually result in significant arthralgia and necessitate total knee arthroplasty (TKA). However, outcomes of BS patients after TKA are still poorly documented in the literature. The purpose of this study was to evaluate BS as a potential risk factor for complications after TKA. METHODS: BS patients undergoing primary TKA were identified from the PearlDiver Mariner database from 2010 to 2021 and compared to 10:1 matched controls. Multivariable logistic regression analyses were done for medical complications up to 90 days and surgical complications up to two years. Ninety-day emergency department (ED) visit and inpatient readmission were also documented. RESULTS: A total of 4286 patients undergoing primary TKA were queried, of which 390 had BS. Patients with BS demonstrated significantly higher rates of medical complications, including deep venous thrombosis. The rates of surgical complications were similar between the two groups with the exception of periprosthetic instability, aseptic loosening, and wound complications in BS patients. Additionally, a significantly higher rate of ED visits but markedly lower rates of 90-day readmissions were noted in patients with BS. CONCLUSION: Patients with BS undergoing TKA are at higher risks of medical and surgical complications. Special considerations for a unique postoperative course with the higher complications should be made. It is crucial for orthopedic surgeons and patients alike to consider these risks when determining the expected course after TKA for patients with BS.

A risk factor attention-based model for cardiovascular disease prediction.

BACKGROUND: Cardiovascular disease (CVD) is a serious disease that endangers human health and is one of the main causes of death. Therefore, using the patient's electronic medical record (EMR) to predict CVD automatically has important application value in intelligent assisted diagnosis and treatment, and is a hot issue in intelligent medical research. However, existing methods based on natural language processing can only predict CVD according to the whole or part of the context information of EMR. RESULTS: Given the deficiencies of the existing research on CVD prediction based on EMRs, this paper proposes a risk factor attention-based model (RFAB) to predict CVD by utilizing CVD risk factors and general EMRs text, which adopts the attention mechanism of a deep neural network to fuse the character sequence and CVD risk factors contained in EMRs text. The experimental results show that the proposed method can significantly improve the prediction performance of CVD, and the F-score reaches 0.9586, which outperforms the existing related methods. CONCLUSIONS: RFAB focuses on the key information in EMR that leads to CVD, that is, 12 risk factors. In the stage of risk factor identification and extraction, risk factors are labeled with category information and time attribute information by BiLSTM-CRF model. In the stage of CVD prediction, the information contained in risk factors and their labels is fused with the information of character sequence in EMR to predict CVD. RFAB makes well use of the fine-grained information contained in EMR, and also provides a reliable idea for predicting CVD.

Combining data augmentation and domain information with TENER model for Clinical Event Detection.

BACKGROUND: In recent years, with the development of artificial intelligence, the use of deep learning technology for clinical information extraction has become a new trend. Clinical Event Detection (CED) as its subtask has attracted the attention from academia and industry. However, directly applying the advancements in deep learning to CED task often yields unsatisfactory results. The main reasons are due to the following two points: (1) A great number of obscure professional terms in the electronic medical record leads to poor recognition performance of model. (2) The scarcity of datasets required for the task leads to poor model robustness. Therefore, it is urgent to solve these two problems to improve model performance. METHODS: This paper proposes a combining data augmentation and domain information with TENER Model for Clinical Event Detection. RESULTS: We use two evaluation metrics to compare the overall performance of the proposed model with the existing model on the 2012 i2b2 challenge dataset. Experimental results demonstrate that our proposed model achieves the best F1-score of 80.26%, type accuracy of 93% and Span F1-score of 90.33%, and outperforms the state-of-the-art approaches. CONCLUSIONS: This paper proposes a multi-granularity information fusion encoder-decoder framework, which applies the TENER model to the CED task for the first time. It uses the pre-trained language model (BioBERT) to generate word-level features, solving the problem of a great number of obscure professional terms in the electronic medical record lead to poor recognition performance of model. In addition, this paper proposes a new data augmentation method for sequence labeling tasks, solving the problem of the scarcity of datasets required for the task leads to poor model robustness.

Enhanced character-level deep convolutional neural networks for cardiovascular disease prediction.

BACKGROUND: Electronic medical records contain a variety of valuable medical information for patients. So, when we are able to recognize and extract risk factors for disease from EMRs of patients with cardiovascular disease (CVD), and are able to use them to predict CVD, we have the ability to automatically process clinical texts, resulting in an improved accuracy of supporting doctors for the clinical diagnosis of CVD. In the case where CVD is becoming more worldwide, predictive CVD based on EMRs has been studied by many researchers to address this important aspect of improving diagnostic efficiency. METHODS: This paper proposes an Enhanced Character-level Deep Convolutional Neural Networks (EnDCNN) model for cardiovascular disease prediction. RESULTS: On the manually annotated Chinese EMRs corpus, our risk factor identification extraction model achieved 0.9073 of F-score, our prediction model achieved 0.9516 of F-score, and the prediction result is better than the most previous methods. CONCLUSIONS: The character-level model based on text region embedding can well map risk factors and their labels as a unit into a vector, and downsampling plays a crucial role in improving the training efficiency of deep CNN. What's more, the shortcut connections with pre-activation used in our model architecture implements dimension-matching free in training.

Attention-based deep residual learning network for entity relation extraction in Chinese EMRs.

BACKGROUND: Electronic medical records (EMRs) contain a variety of valuable medical concepts and relations. The ability to recognize relations between medical concepts described in EMRs enables the automatic processing of clinical texts, resulting in an improved quality of health-related data analysis. Driven by the 2010 i2b2/VA Challenge Evaluation, the relation recognition problem in EMRs has been studied by many researchers to address this important aspect of EMR information extraction. METHODS: This paper proposes an Attention-Based Deep Residual Network (ResNet) model to recognize medical concept relations in Chinese EMRs. RESULTS: Our model achieves F1-score of 77.80% on the manually annotated Chinese EMRs corpus and outperforms the state-of-the-art approaches. CONCLUSION: The residual network-based model can reduce the negative impact of corpus noise to parameter learning, and the combination of character position attention mechanism will enhance the identification features of different type of entities.

Reconstruction of iliac crest defect after autogenous harvest with bone cement and screws reduces donor site pain.

BACKGROUND: The iliac crest is the most common autogenous bone graft donor site, although associated with postoperative pain, functional disability, cosmesis, morphology and surgical satisfaction. We assessed each aspect above by comparing iliac crest reconstruction with bone cement and screws following harvest with no reconstruction. METHODS: We evaluated patients who underwent large iliac crest harvesting, including ten patients who underwent iliac crest defect reconstruction with bone cement and cancellous screws (R group) and ten randomly matched patients without reconstruction (NR group) were evaluated prospectively in the same period. Local pain, cosmesis and other complications were assessed postoperatively at 1 week, 6 weeks, 3 months and 6 months. RESULTS: Pain, cosmesis and satisfaction of patients significantly differed between the two groups. The R group exhibited less complications and lower pain visual analogue scores at postoperative 1 week (p < 0.001), 6 weeks (p < 0.001) and 3 months (p < 0.01) but not at 6 months, at which time patients reported almost no pain. One patient reported pain for more than 1 year in the NR group. The R group exhibited better cosmesis, morphology and satisfaction than the NR group. In the NR group, one patient suffered pain when sitting up and another when wearing a belt. CONCLUSION: Postoperative pain can be reduced and cosmesis can be improved through reconstructing the iliac crest defects after autogenous harvesting with bone cement and cancellous screws. The technique is simple, safe and easy to implement.

Subcutaneous Angioleiomyoma: Clinical and Sonographic Features With Histopathologic Correlation.

OBJECTIVES: To investigate clinical and sonographic features of subcutaneous angioleiomyoma with histopathologic correlation. METHODS: Clinical features of 141 cases and sonographic appearances of 33 cases of histopathologically proven subcutaneous angioleiomyoma were retrospectively reviewed. Clinical information included patient age, sex, tumor location, and symptoms. Sonographic features included tumor size, location, contour, margin, component, echogenicity, calcifications, and vascularity. Sonograms were analyzed with histopathologic correlation by a single radiologist and a single pathologist. RESULTS: Clinical features of the 141 cases of angioleiomyoma included the following: 78.0% of the cases (110 of 141) were on the lower leg or ankle; 55.3% of the patients (78 of 141) had pain at the tumor location; the female-to-male ratio was 1.61:1.00, and most cases occurred in patients in the third through sixth decades. Sonographic features of the 33 cases of angioleiomyoma included the following: 85.0% of the cases (28 of 33) were smaller than 20 mm; 94.0% to 97.0% were solid, oval, parallel to the skin, well defined, and homogeneously hypoechoic and without calcifications; 75.8% (25 of 33) were superficially located, close to or in contact with the dermis; and 39.4% (13 of 33) showed low or moderate internal vascularity. CONCLUSIONS: Typical clinical and sonographic features of angioleiomyoma may include a female patient with a painful lower leg or ankle subcutaneous mass, a superficial location, especially in contact with the dermis, a small size (<20 mm), an oval shape, a parallel orientation to the skin, well-defined margins, complete solid components, homogeneous hypoechogenicity, low or moderate vascular density, and absence of calcifications.

Baicalein suppresses the viability of MG-63 osteosarcoma cells through inhibiting c-MYC expression via Wnt signaling pathway.

The major reason responsible for the poor prognosis of osteosarcoma is the malignant proliferation of osteosarcoma cells. The activated Wnt/ß-catenin signaling induces c-MYC gene transcription and results in osteocytes' carcinomatous change, which contributes to osteosarcoma development, so c-MYC gene is one of the therapeutic targets. The role of multiple botanical extracts in the expression of ß-catenin's target gene c-MYC in osteosarcoma MG-63 cells was tested by cellomics high content screening. Baicalein was identified as the most effective one which can inhibit the proliferation and promote the apoptosis of MG-63 cells in a dose-dependent manner by cell counting kit-8 test and fluorescence-activated cell sorting, respectively. This process was associated with the decreased levels of ß-catenin and its target gene c-MYC, identified by q-PCR and Western blotting, respectively. When MG-63 cells were treated with both baicalein and JNK inhibitor SP600125, the apoptosis and expression of c-MYC were not significantly decreased. After the construct pcDNA3.1-BANCR (BRAF-regulated lncRNA 1) was transfected into MG-63 cells, RT-PCR, Western blotting and CCK-8 assay showed that BANCR was positively correlated with baicalein. These results indicated that baicalein inhibited osteosarcoma cell proliferation and promoted apoptosis by targeting c-MYC gene through Wnt signaling, in which JNK and BANCR were also involved as well as ß-catenin, suggesting a new potential mechanism for us to better understand the inhibiting effect of baicalein on osteosarcoma.

[Accuracy of different preoperative biopsy techniques in diagnosis of osteosarcomas and their value in prognostic evaluation].

OBJECTIVE: To study the difference in pathologic diagnostic accuracy among different histologic subtypes of osteosarcoma and different methods of preoperative biopsy, and the influence of diagnostic accuracy on prognosis of osteosarcoma. METHODS: The preoperative biopsies, complete clinical, radiological and pathological data of 347 pathologically confirmed osteosarcomas were evaluated. According to the Pathological Diagnostic and Technical Specifications, the accuracy of preoperative biopsies was divided into 6 grades. 1: definite diagnosis, 2: basically definite diagnosis, 3: significant diagnosis, 4: descriptive diagnosis, 5:inadequate sampling, 6:misdiagnosis. 1 to 3 were defined as successful diagnosis,while 4 to 6 were defined as unsuccessful diagnosis. RESULTS: Of the 347 biopsies, 252 were CT-guided needle biopsies by the radiologists, and 95 were core-needle biopsies by orthopedic surgeons without CT-guidance. The latter showed a higher overall biopsy success rate (97.9%) in all osteosarcomas. Biopsies by surgeons showed a higher biopsy success rate (95.4%) in conventional osteosarcoma, but lower success rate in telangiectatic (55.6%) and low-grade central osteosarcomas (63.7%). The accuracy of pathologic diagnosis of preoperative biopsy was related to patients' age, serum AKP level, imaging diagnosis, method of biopsy and the subtype of osteosarcoma. Comparing the groups with successful and unsuccessful diagnosis, there were significant differences in recurrence rate and mortality after operation (P<0.01). CONCLUSIONS: The accuracy of pathologic diagnosis of preoperative biopsy are related to recurrence rate and mortality after operation. Biopsy by orthopedic surgeons without CT-guidance is reliable and safe, followed by primary diagnosis at frozen section and final diagnosis by routine pathologic sections for osteosarcomas located in the long bones of the extremities. Close integration of the preoperative pathologic diagnosis with clinical and radiological data will improve the accuracy of diagnosis.

Total Hip Arthroplasty Outcomes before or after Renal Transplant: A Retrospective Large Cohort Analysis.

Background: While it is known that patients with end-stage renal disease (ESRD) are at an increased risk of complications following total hip arthroplasty (THA), there is a gap in the literature in comparing patients with ESRD to patients who undergo renal transplant (RT) before or after THA. This study is to address this gap by analyzing outcomes of THA in ESRD patients, RT patients, and RT candidates. Methods: Using the PearlDiver Mariner database, ESRD patients, RT patients, and RT candidates undergoing primary THA were identified and compared. Multivariable logistic regression analyses were done for medical complications up to 90 days and surgical complications up to 2 years. Ninety-day emergency department (ED) visits and inpatient readmission were also documented. Results: A total of 7,868 patients were included: 5,092 had ESRD, 2,520 had RT before THA, and 256 were candidates for RT. Compared to patients with ESRD, RT patients demonstrated lower rates of medical complications such as pneumonia (3.61% vs. 5.99%, p = 0.039) and transfusion (4.60% vs. 7.66%, p < 0.001). Additionally, RT patients displayed decreased rates of surgical complications, including wound complications (2.70% vs. 4.22%, p = 0.001), periprosthetic joint infection (PJI) at 1 year (2.30% vs. 4.81%, p < 0.001) and 2 years (2.58% vs. 5.42%, p < 0.001), and aseptic loosening at 2 years (0.79% vs. 1.43%, p = 0.006). Similarly, when compared to RT candidates, RT patients demonstrated a lower incidence of postoperative complications, including 1-year PJI (2.30% vs. 5.08%, p = 0.013), 2-year PJI (2.58% vs. 5.08%, p = 0.028), 1-year aseptic loosening (0.56% vs. 2.73%, p < 0.001), and 2-year aseptic loosening (0.79% vs. 2.73%, p = 0.005). RT patients also had lower rates of ED visits and hospital readmissions. Conclusions: Compared to ESRD patients and RT candidates, patients with RT have a significantly lower likelihood of medical complications, PJI, aseptic hardware loosening, ED visits, and hospital readmission. Patients with ESRD on the RT waiting list should delay THA until after RT surgery. For those not eligible for RT, it is vital to take extra precautions to reduce the risk of complications.

Bibliometric and visualized analysis of the applications of exosomes based drug delivery.

Exosomes, endogenous vesicles secreted by cells, possess unique properties like high biocompatibility, low immunogenicity, targeting ability, long half-life, and blood-brain barrier permeability. They serve as crucial intercellular communication vectors in physiological processes and disease occurrence. Our comprehensive analysis of exosome-based drug delivery research from 2013 to 2023 revealed 2,476 authors from 717 institutions across 33 countries. Keyword clustering identified five research areas: drug delivery, mesenchymal stem cells, cancer immunotherapy, targeting ligands, surface modifications, and macrophages. The combination of exosome drug delivery technology with a proven clinical model enables the precise targeting of tumors with chemotherapy or radiosensitising agents, as well as facilitating gene therapy. This bibliometric analysis aims to characterize the current state and advance the clinical application of exosome-based drug delivery systems.