Objective To compare the effectiveness of TiRobot-assisted and C-arm X-ray fluoroscopy assisted percutaneous kyphoplasty (PKP) via pedicle of vertebra in the treatment of osteoporotic vertebral compression fracture (OVCF) of thoracic vertebrae. Methods The clinical data of 85 patients with OVCF of thoracic vertebrae who were admitted between January 2020 and March 2023 and met the selection criteria was retrospectively analyzed including 40 patients (50 vertebrae) undergoing PKP assisted by TiRobot (group A) and 45 patients (50 vertebrae) undergoing PKP assisted by C-arm X-ray fluoroscopy (group B). There was no significant difference in the comparison of baseline data such as gender, age, body mass index, bone mineral density T-value, fracture segment, trauma history, and preoperative numerical rating scale (NRS) score, Oswestry disability index (ODI), and Cobb angle of injured vertebra between the two groups (P>0.05). The effectiveness evaluation indexes of the two groups, including the operation time, the volume of injected cement, the times of fluoroscopies, the length of hospital stay, and the occurrence of postoperative complications were collected and compared. Anteroposterior and lateral X-ray films and CT of the injured vertebra were reviewed at 1 day after operation to observe whether there was cement leakage and to evaluate the distribution of cement in the injured vertebra. Before and after operation, pain was assessed using the NRS score, dysfunction was assessed using the ODI, and vertebral height recovery was assessed by measuring the Cobb angle of the injured vertebrae by X-ray films. Results Both groups of patients successfully completed the operation, the operation time, the volume of injected cement, the times of fluoroscopies, and the length of hospital stay in group A were significantly less than those in group B (P<0.05). The patients in two groups were followed up 4-12 months (mean, 9.6 months). Bone cement leakage occurred in 5 vertebrae in group A and 15 vertebrae in group B after operation, all of which leaked to the intervertebral space and around the vertebral body, and the patients had no obvious clinical symptoms. The difference of bone cement leakage between the two groups was significant (P<0.05). No severe complication such as intraspinal leakage, infection, or vascular embolism was found in the two groups. At 1 day after operation, the distribution index of bone cement in group A was mostly grade Ⅴ, which was well dispersed; while in group B, it was mostly grade Ⅱ and grade Ⅴ; the difference of bone cement distribution index between the two groups was significant (P<0.05). The NRS score, ODI, and Cobb angle of injured vertebra in both groups were significantly improved at 1 day after operation when compared with preoperative ones (P<0.05). There was no significant difference in the difference of the above indexes between the two groups before and after operation (P>0.05). Conclusion TiRobot-assisted unilateral PKP in the treatment of OVCF of thoracic vertebrae is safe and effective, which can reduce the X-ray transmission times during operation, shorten the operation time, reduce the volume of bone cement injection, and thus decrease incidence of bone cement leakage.
Objective To study the effect of core decompression combining with autologous cortical sustaining bone and cancellous bone graft in treating osteonecrosis of the femoral head (ONFH). Methods From February 2004 to May 2008, 64 patients (77 hi ps) with ONFH were treated with core decompression combining with autologous cortical sustaining bone and cancellous bone graft, including 45 males and 19 females and aging 23 to 60 years with an average age of 43 years. There were 51 cases of unilateral ONFH and 13 cases of bilateral ONFH. ONFH was caused by alcohol in 39 cases(47 hi ps), by steroid in 21 cases (26 hi ps), and by trauma in 4 cases (4 hi ps). The disease course was 1-12 years. The pain time was 2-14 months (average 7 months). All the cases underwent imageology and postoperation pathology examination to confirm the diagnosis of ONFH. According to Association Research Circulation Osseous (ARCO) international classification of osteonecrosis, 17 cases (23 hips) were classified as stage I A, 2 cases (3 hips) as stage I B, 21 cases (24 hips) as stage II A, 2 cases (2 hips) as stage II B, 4 cases (4 hips) as stage II C, and 18 cases (21 hips) as stage III A. The outcome was evaluated both cl inically by Harris score and radiologically by imageology. Results A total of 59 cases (69 hips) were followed up for 12-62 months with an average of 32.1 months. The Harris score was 87.12 ± 8.68 at 12 months after operation, showing significant difference (P lt; 0.05) when compared with the preoperative one (68.38 ± 14.49). The results were excellent in 39 hips, good in 18 hips, fair in 6 hips, and poor in 6 hip; and the excellent and good rate was 82.6%. Radiographic evaluation was 21 hips (30.4%) of grade I, 42 hips (60.9%) of grade II, and 6 hips (8.7%) of grade III. One case had the compl ication of il ium bone donor site, 21 cases had l ittle pain or numbness, and the other cases had no uncomfortable compl ication. Conclusion The method of core decompression combining with autologous cortical sustaining bone and cancellous bone graft can improve the means of bone grafts, prevent the collapse of the femoral head, and is less traumatic than common procedures. Cl inical effects are obvious and effective.
Synergistic effects of drug combinations are very important in improving drug efficacy or reducing drug toxicity. However, due to the complex mechanism of action between drugs, it is expensive to screen new drug combinations through trials. It is well known that virtual screening of computational models can effectively reduce the test cost. Recently, foreign scholars successfully predicted the synergistic value of new drug combinations on cancer cell lines by using deep learning model DeepSynergy. However, DeepSynergy is a two-stage method and uses only one kind of feature as input. In this study, we proposed a new end-to-end deep learning model, MulinputSynergy which predicted the synergistic value of drug combinations by integrating gene expression, gene mutation, gene copy number characteristics of cancer cells and anticancer drug chemistry characteristics. In order to solve the problem of high dimension of features, we used convolutional neural network to reduce the dimension of gene features. Experimental results showed that the proposed model was superior to DeepSynergy deep learning model, with the mean square error decreasing from 197 to 176, the mean absolute error decreasing from 9.48 to 8.77, and the decision coefficient increasing from 0.53 to 0.58. This model could learn the potential relationship between anticancer drugs and cell lines from a variety of characteristics and locate the effective drug combinations quickly and accurately.
Objective To explore the efficiency of artificial intelligence algorithm model using preoperative blood indexes on the prediction of deep vein thrombosis (DVT) in patients with lower limb fracture before operation. Methods Patients with lower limb fracture treated in the Department of Orthopedics of Deyang People’s Hospital between January 2018 and December 2022 were retrospectively selected. Their basic and clinical data such as age, gender, height and weight, and laboratory examination indicators at admission were collected, then the neutrophi to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), and platelet to lymphocyte ratio (PLR) were calculated. According to color Doppler ultrasound indication of DVT in lower extremities at admission, the patients were divided into DVT group and non-DVT group. After data preprocessing, grey relational analysis (GRA) was used to screen the combination model of important predictive features of DVT, and BP neural network prediction model was established using the selected features. Finally, the accuracy of BP neural network prediction model was evaluated, and was compared with those of different models in clinical prediction of DVT. Results A total of 4033 patients with lower limb fracture were enrolled, including 3127 cases in the DVT group and 906 cases in the non-DVT group. GRA selected seven important predictive features: absolute lymphocyte value, NLR, MLR, PLR, plasma D-dimer, direct bilirubin, and total bilirubin. The accuracies of logistic regression analysis, random forest, decision tree, BP neural network and GRA-BP neural network combination model were 74%, 76%, 75%, 84% and 87%, respectively. The GRA-BP neural network combination model had the highest accuracy. Conclusion The GRA-BP neural network selected in this paper has the highest accuracy in preoperative DVT risk prediction in patients with lower limb fracture, which can provide a reference for the formulation of DVT prevention strategies.
ObjectiveTo evaluate the safety and efficacy of unconventional abdominal drainage after laparoscopic hepatectomy.MethodsThe clinicopathologic data of patients who underwent laparoscopic hepatectomy for liver tumors in the Mianyang Central Hospital from June to December 2019 and met the inclusion criteria were retrospectively collected. Based on whether drainage tube was placed in the abdominal cavity during operation, the patients were divided into non-catheterized group (without drainage tube) and catheterized group (with drainage tube). The intraoperative data and postoperative complications (e.g. intraabdominal hemorrhage, bile leakage, abdominal infection, and liver failure) were compared between the two groups. Then, the intraoperative data and postoperative conditions of liver cancer and non-liver cancer patients with or without abdominal drainage tube were compared and analyzed.ResultsA total of 117 eligible patients were included in the study. The non-catheterized group had 59 patients and the catheterized group had 58 patients. The patients with liver cancer had 84 patients (44 non-catheterized patients and 40 catheterized patients) and the patients without liver cancer had 33 patients (15 non-catheterized patients and 18 catheterized patients). ① On the whole, the groups were comparable in the baseline data between the non-catheterized group and the catheterized group, such as gender, age, HBV infection, body mass index, hepatic function index, liver stiffness value, disease category, etc. (P>0.05). Compared with the catheterized group, the non-catheterized group had earlier off-bed activities and earlier flatus time (P<0.001), and shorter postoperative hospital stay (P=0.030). However, no statistically significant differences were found in other indicators between the two groups (P>0.05). ② Whether the patients had liver cancer or not, the non-catheterized patients still had earlier off-bed activities and earlier flatus time as compared with the catheterized patients (P<0.001). Among the patients with liver cancer, no difference was found in postoperative hospital stay. However, among the patients without liver cancer, the non-catheterized patients had shorter postoperative hospital stay than the catheterized patients (P=0.042). No statistically significant differences were found in other indicators between the catheterized patients and non-catheterized patients (P>0.05).ConclusionFor technologically skilled laparoscopic hepatectomy center, selectively not placing peritoneal drainage tube after surgery might better promote the health of patients.
ObjectiveTo evaluate effect of RAS gene mutation after liver metastasis resection on overall survival (OS) and disease-free survival (DFS) for patients with colorectal cancer combined with liver metastasis. MethodsA comprehensive and systematic literature search in the PubMed and other databases was conducted, with the final search ending on January 5, 2022. The impact of RAS gene mutation after liver metastasis resection on survival of patients with colorectal cancer combined with liver metastasis was analyzed by the Stata 12.0 software and Review Manager version 5.3 software, meanwhile which were analyzed according to subgroups, including study type (retrospective and prospective studies), region (Asian and European), and number of RAS gene mutation sites (>2 and ≤2). ResultsA total of 26 studies with 13 356 patients were included. The integrated analysis results showed that the patients with RAS mutations had statistically shorter OS [HR=1.54, 95%CI (1.43, 1.65), P<0.001] and DFS [HR=1.32, 95%CI (1.19, 1.44), P<0.001] as compared with RAS wild-type. Except the 1-year overall survival rate, the 2–5-year overall survival rate and 1–5-year disease-free survival rate of patients with RAS gene mutation were statistically lower than those of patients with RAS wild-type (P<0.05). The results of subgroup analysis showed that no matter retrospective and prospective studies, as well as studies in Asian and European countries, it was found that the OS and DFS for patients with RAS gene mutation were shorter than those of patients with wild-type (P<0.05); At the same time, subgroup analysis of the number of RAS gene mutation sites showed that OS and DFS of patients with number of mutation sites >2 were shortened as compared with ≤2 (P<0.05). ConclusionFrom the overall analysis results, the survival of patients with RAS gene mutation after liver metastasis resection is worse than that of patients with RAS wild-type for patients with colorectal cancer combined with liver metastasis.
The "bnma" package is a Bayesian network meta-analysis software package developed based on the R programming language. The network meta-analysis was performed utilizing JAGS software, which yielded relevant results and visual graphs. Moreover, this software package provides support for various data structures and types, while also providing the advantages of flexible utilization, user-friendly operation, and deliver of rich and accurate outcomes. In this paper, using a network meta-analysis example of different therapies for androgenetic alopecia, the operational process of conducting network meta-analysis using the "bnma" package is briefly introduced.
Objective To analyze the influence of the age of colorectal cancer patients served by West China Hospital as a regional center on hospitalization process in the current version of Database from Colorectal Cancer (DACCA). Methods The DACCA version was updated on January 5, 2022. All data items analyzed included age, date of admission, date of operation, date of discharge, pre-operation time, post-operation time, total hospital stay and management process. Data were assigned to three groups according to age with ≤45, 46–64 and ≥65 years old. Results After scanning, 8 013 data rows were obtained, from 2005 to 2022. The patients’ ages ranged from 14 to 104 years old, and were (58.01±13.52) years old in average. The results showed that the relationship between age and post-operative time was not statistically related (P>0.05). However, the pre-operative time (P=0.001) and total hospital stay time (P=0.005) were positively correlated with the age of colorectal cancer patients. The pre-operation time was longer in the older-aged group (P=0.021). Youth group had longer total hospital stay than other groups (P=0.028). Additionally, there was significant difference in the management process of colorectal cancer patients of different age groups (χ2=32.824, P＜0.05), but in terms of each process management classification, patients in different age groups had the same choice tendency as the overall choice, with “routine” management accounting for the largest proportion. “ERAS (enhanced recovery after surgery)” management was in the second place. Conclusions This study showed that the age group of patients with colorectal cancer has a certain influence on the length of hospital stay. Older patients have longer pre-operation time, but the effect of age on the total length of hospital stay still remains to be discussed. The composition of clinical management process varies among different age groups, and the elderly patients received the highest proportion of “ERAS” management process.
Objective Allergic bronchopulmonary aspergillosis (ABPA) is characterized by anexaggerated reaction to airway colonization aspergillus which affects patients with underlying diseases such asbronchial asthma, cystic fibrosis or other respiratory diseases. ABPA exhibit significant heterogeneity due to theunderlying diseases. The clinical features of patients with ABPA were analyzed retrospectively, so as to explore theimpact of underlying diseases on clinical characteristics. Methods The clinical data of hospitalized patients diagnosed with ABPA from January 2010 to September 2019 in Peking University People's Hospital were reviewed for retrospective analysis. Results A total of 40 ABPA patients were enrolled. Of which 8 cases (20.0%) were previously diagnosed as chronic obstructive pulmonary disease and/or bronchiectasis, named non-asthma group; while the other 32 cases met the diagnosis criteria of asthma, named asthma group. The non-asthma ABPA patients had a shorter course [78 (6 - 300) months vs. 192 (39 - 480) months, P=0.02], a higher percentage of peripheral blood neutrophils (79.9%±12.5% vs. 68.1%±18.1%, P=0.01) and higher score of emphysema [2 (0 - 2) vs. 0 (0 - 1), P=0.02] than the asthma group. Conclusions There is no significant difference in clinical and radiological characteristics between ABPA patients without asthma and those with asthma. The diagnosis of ABPA should also be considered when patients with chronic pulmonary diseases such as chronic obstructive pulmonary disease and bronchiectasis have aggravation of dyspnea, increase of eosinophils in peripheral blood and typical imaging features such as mucus attenuation.