Intraoperative cell salvage (IOCS) has been widely applied as an important blood conservation measure in surgical operations. However, there is currently a lack of clinical practice guidelines for the implementation of IOCS in patients with malignant tumors. This report aims to provide clinicians with recommendations on the use of IOCS in patients with malignant tumors based on the review and assessment of the existed evidence. Data were derived from databases such as PubMed, Embase, the Cochrane Library and Wanfang. The guideline development team formulated recommendations based on the quality of evidence, balance of benefits and harms, patient preferences, and health economic assessments. This study constructed seven major clinical questions. The main conclusions of this guideline are as follows: 1) Compared with no perioperative allogeneic blood transfusion (NPABT), perioperative allogeneic blood transfusion (PABT) leads to a more unfavorable prognosis in cancer patients (Recommended); 2) Compared with the transfusion of allogeneic blood or no transfusion, IOCS does not lead to a more unfavorable prognosis in cancer patients (Recommended); 3) The implementation of IOCS in cancer patients is economically feasible (Recommended); 4) Leukocyte depletion filters (LDF) should be used when implementing IOCS in cancer patients (Strongly Recommended); 5) Irradiation treatment of autologous blood to be reinfused can be used when implementing IOCS in cancer patients (Recommended); 6) A careful assessment of the condition of cancer patients (meeting indications and excluding contraindications) should be conducted before implementing IOCS (Strongly Recommended); 7) Informed consent from cancer patients should be obtained when implementing IOCS, with a thorough pre-assessment of the patient's condition and the likelihood of blood loss, adherence to standardized internally audited management procedures, meeting corresponding conditions, and obtaining corresponding qualifications (Recommended). In brief, current evidence indicates that IOCS can be implemented for some malignant tumor patients who need allogeneic blood transfusion after physician full evaluation, and LDF or irradiation should be used during the implementation process.

PURPOSE: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artificial intelligence (AI) method to improve the accuracy of ITF classification. METHODS: We trained a network called YOLOX-SwinT, which is based on the You Only Look Once X (YOLOX) object detection network with Swin Transformer (SwinT) as the backbone architecture, using 762 radiographic ITF examinations as the training set. Subsequently, we recruited 5 senior orthopedic trauma surgeons (SOTS) and 5 junior orthopedic trauma surgeons (JOTS) to classify the 85 original images in the test set, as well as the images with the prediction results of the network model in sequence. Statistical analysis was performed using the SPSS 20.0 (IBM Corp., Armonk, NY, USA) to compare the differences among the SOTS, JOTS, SOTS + AI, JOTS + AI, SOTS + JOTS, and SOTS + JOTS + AI groups. All images were classified according to the AO/OTA 2018 classification system by 2 experienced trauma surgeons and verified by another expert in this field. Based on the actual clinical needs, after discussion, we integrated 8 subgroups into 5 new subgroups, and the dataset was divided into training, validation, and test sets by the ratio of 8:1:1. RESULTS: The mean average precision at the intersection over union (IoU) of 0.5 (mAP50) for subgroup detection reached 90.29%. The classification accuracy values of SOTS, JOTS, SOTS + AI, and JOTS + AI groups were 56.24% ± 4.02%, 35.29% ± 18.07%, 79.53% ± 7.14%, and 71.53% ± 5.22%, respectively. The paired t-test results showed that the difference between the SOTS and SOTS + AI groups was statistically significant, as well as the difference between the JOTS and JOTS + AI groups, and the SOTS + JOTS and SOTS + JOTS + AI groups. Moreover, the difference between the SOTS + JOTS and SOTS + JOTS + AI groups in each subgroup was statistically significant, with all p < 0.05. The independent samples t-test results showed that the difference between the SOTS and JOTS groups was statistically significant, while the difference between the SOTS + AI and JOTS + AI groups was not statistically significant. With the assistance of AI, the subgroup classification accuracy of both SOTS and JOTS was significantly improved, and JOTS achieved the same level as SOTS. CONCLUSION In conclusion, the YOLOX-SwinT network algorithm enhances the accuracy of AO/OTA subgroups classification of ITF by orthopedic trauma surgeons.
Humans ; Hip Fractures/diagnostic imaging* ; Orthopedic Surgeons ; Algorithms ; Artificial Intelligence

PURPOSE: The rate of complications among patients undergoing surgery has increased due to infection with SARS-CoV-2 and other variants of concern. However, Omicron has shown decreased pathogenicity, raising questions about the risk of postoperative complications among patients who are infected with this variant. This study aimed to investigate complications and related factors among patients with recent Omicron infection prior to undergoing orthopedic surgery. METHODS: A historical control study was conducted. Data were collected from all patients who underwent surgery during 2 distinct periods: (1) between Dec 12, 2022 and Jan 31, 2023 (COVID-19 positive group), (2) between Dec 12, 2021 and Jan 31, 2022 (COVID-19 negative control group). The patients were at least 18 years old. Patients who received conservative treatment after admission or had high-risk diseases or special circumstances (use of anticoagulants before surgery) were excluded from the study. The study outcomes were the total complication rate and related factors. Binary logistic regression analysis was used to identify related factors, and odds ratio (OR) and 95% confidence interval (CI) were calculated to assess the impact of COVID-19 infection on complications. RESULTS: In the analysis, a total of 847 patients who underwent surgery were included, with 275 of these patients testing positive for COVID-19 and 572 testing negative. The COVID-19-positive group had a significantly higher rate of total complications (11.27%) than the control group (4.90%, p < 0.001). After adjusting for relevant factors, the OR was 3.08 (95% CI: 1.45-6.53). Patients who were diagnosed with COVID-19 at 3-4 weeks (OR = 0.20 (95% CI: 0.06-0.59), p = 0.005), 5-6 weeks (OR = 0.16 (95% CI: 0.04-0.59), p = 0.010), or ≥7 weeks (OR = 0.26 (95% CI: 0.06-1.02), p = 0.069) prior to surgery had a lower risk of complications than those who were diagnosed at 0-2 weeks prior to surgery. Seven factors (age, indications for surgery, time of operation, time of COVID-19 diagnosis prior to surgery, C-reactive protein levels, alanine transaminase levels, and aspartate aminotransferase levels) were found to be associated with complications; thus, these factors were used to create a nomogram. CONCLUSION Omicron continues to be a significant factor in the incidence of postoperative complications among patients undergoing orthopedic surgery. By identifying the factors associated with these complications, we can determine the optimal surgical timing, provide more accurate prognostic information, and offer appropriate consultation for orthopedic surgery patients who have been infected with Omicron.
Humans ; COVID-19/complications* ; Male ; Female ; Middle Aged ; Postoperative Complications/epidemiology* ; SARS-CoV-2 ; Orthopedic Procedures/adverse effects* ; Aged ; Nomograms ; Adult ; Retrospective Studies ; Risk Factors

Purpose::Cerebral edema (CE) is the main secondary injury following traumatic brain injury (TBI) caused by road traffic accidents (RTAs). It is challenging to be predicted timely. In this study, we aimed to develop a prediction model for CE by identifying its risk factors and comparing the timing of edema occurrence in TBI patients with varying levels of injuries.Methods::This case-control study included 218 patients with TBI caused by RTAs. The cohort was divided into CE and non-CE groups, according to CT results within 7 days. Demographic data, imaging data, and clinical data were collected and analyzed. Quantitative variables that follow normal distribution were presented as mean ± standard deviation, those that do not follow normal distribution were presented as median (Q 1, Q 3). Categorical variables were expressed as percentages. The Chi-square test and logistic regression analysis were used to identify risk factors for CE. Logistic curve fitting was performed to predict the time to secondary CE in TBI patients with different levels of injuries. The efficacy of the model was evaluated using the receiver operator characteristic curve. Results::According to the study, almost half (47.3%) of the patients were found to have CE. The risk factors associated with CE were bilateral frontal lobe contusion, unilateral frontal lobe contusion, cerebral contusion, subarachnoid hemorrhage, and abbreviated injury scale (AIS). The odds ratio values for these factors were 7.27 (95% confidence interval ( CI): 2.08 -25.42, p = 0.002), 2.85 (95% CI: 1.11 -7.31, p = 0.030), 2.62 (95% CI: 1.12 -6.13, p = 0.027), 2.44 (95% CI: 1.25 -4.76, p = 0.009), and 1.5 (95% CI: 1.10 -2.04, p = 0.009), respectively. We also observed that patients with mild/moderate TBI (AIS ≤ 3) had a 50% probability of developing CE 19.7 h after injury (χ 2= 13.82, adjusted R2 = 0.51), while patients with severe TBI (AIS > 3) developed CE after 12.5 h (χ 2= 18.48, adjusted R2 = 0.54). Finally, we conducted a receiver operator characteristic curve analysis of CE time, which showed an area under the curve of 0.744 and 0.672 for severe and mild/moderate TBI, respectively. Conclusion::Our study found that the onset of CE in individuals with TBI resulting from RTAs was correlated with the severity of the injury. Specifically, those with more severe injuries experienced an earlier onset of CE. These findings suggest that there is a critical time window for clinical intervention in cases of CE secondary to TBI.

Humans ; Child ; Dancing ; Spinal Cord Injuries ; Spinal Cord

Objective To compare the value of Child-Pugh score, Model for End-Stage Liver Disease (MELD) score, MELD combined with serum sodium concentration (MELD-Na) score, CLIF Consortium Acute Decompensation (CLIF-C AD) score, and Freiburg index of post-transjugular intrahepatic portosystemic shunt (TIPS) survival (FIPS) score in predicting the survival of patients undergoing TIPS. Methods A retrospective analysis was performed for the clinical data of 447 patients with liver cirrhosis who underwent TIPS in several hospitals in southwest China, among whom there were 306 patients in the survival group and 62 in the death group. The scores of the above five models were calculated, and a survival analysis was performed based on these models. The independent samples t -test was used for comparison of normally distributed continuous data between groups, and the non-parametric Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups; the Pearson chi-square test was used for comparison of categorical data between groups; a multivariate Cox regression analysis was used for correction analysis of known influencing factors with statistical significance which were not included in the scoring models; the Kaplan-Meier method was used to evaluate the discriminatory ability of each model in identifying risks in the surgical population, and the log-rank test was used for analysis. The area under the receiver operating characteristic curve (AUC), C-index at different time points, and calibration curve were used to evaluate the predictive ability of each scoring model. Results Compared with the death group, the survival group had significantly lower age ( Z =2.884, P < 0.05), higher albumin ( t =3.577, P < 0.05), and Na + ( Z =-3.756, P < 0.05) and significantly lower proportion of patients with alcoholic cirrhosis ( χ 2 =22.674, P < 0.05), aspartate aminotransferase ( Z =2.141, P < 0.05), prothrombin time ( Z =2.486, P < 0.05), international normalized ratio ( Z =2.429, P < 0.05), total bilirubin ( Z =3.754, P < 0.05), severity of ascites ( χ 2 =14.186, P < 0.05), and scores of the five models (all P < 0.05). Survival analysis showed that all scoring models effectively stratified the prognostic risk of the patients undergoing TIPS. Comparison of the C-index of each scoring model at different time points showed that Child-Pugh score had the strongest ability in predicting postoperative survival, followed by MELD-Na score, MELD score, and CLIF-C AD score, and FIPS score had a relatively poor predictive ability; in addition, the prediction efficiency of each score gradually decreased over time. Child-Pugh score had the largest AUC of 0.832 in predicting 1-year survival rate after surgery, and MELD-Na score had the largest AUC of 0.726 in predicting 3-year survival rate after surgery, but FIPS score had a poor ability in predicting 1- and 3-year survival rates. Conclusion All five scoring models can predict the survival of patients with liver cirrhosis after TIPS and can provide effective stratification of prognostic risk for such patients. Child-Pugh score has a better ability in predicting short-term survival, while MELD-Na score has a better ability in predicting long-term survival, but FIPS score has a relatively poor predictive ability in predicting both short-term and long-term survival.

PURPOSE: This study aims to elucidate the electrotaxis response of alveolar epithelial cells (AECs) in direct-current electric fields (EFs), explore the impact of EFs on the cell fate of AECs, and lay the foundation for future exploitation of EFs for the treatment of acute lung injury. METHODS: AECs were extracted from rat lung tissues using magnetic-activated cell sorting. To elucidate the electrotaxis responses of AECs, different voltages of EFs (0, 50, 100, and 200 mV/mm) were applied to two types of AECs, respectively. Cell migrations were recorded and trajectories were pooled to better demonstrate cellular activities through graphs. Cell directionality was calculated as the cosine value of the angle formed by the EF vector and cell migration. To further demonstrate the impact of EFs on the pulmonary tissue, the human bronchial epithelial cells transformed with Ad12-SV40 2B (BEAS-2B cells) were obtained and experimented under the same conditions as AECs. To determine the influence on cell fate, cells underwent electric stimulation were collected to perform Western blot analysis. RESULTS: The successful separation and culturing of AECs were confirmed through immunofluorescence staining. Compared with the control, AECs in EFs demonstrated a significant directionality in a voltage-dependent way. In general, type Ⅰ alveolar epithelial cells migrated faster than type Ⅱ alveolar epithelial cells, and under EFs, these two types of cells exhibited different response threshold. For type Ⅱ alveolar epithelial cells, only EFs at 200 mV/mm resulted a significant difference to the velocity, whereas for, EFs at both 100 mV/mm and 200 mV/mm gave rise to a significant difference. Western blotting suggested that EFs led to an increased expression of a AKT and myeloid leukemia 1 and a decreased expression of Bcl-2-associated X protein and Bcl-2-like protein 11. CONCLUSION EFs could guide and accelerate the directional migration of AECs and exert antiapoptotic effects, which indicated that EFs are important biophysical signals in the re-epithelialization of alveolar epithelium in lung injury.
Humans ; Rats ; Animals ; Alveolar Epithelial Cells ; Lung ; Lung Injury ; Cell Movement/physiology*

Humans ; Trauma Centers ; Emergency Medical Services ; Wounds and Injuries/therapy*

ObjectiveTo investigate the clinical features of patients with hepatic myelopathy (HM) in China. MethodsThe articles on HM, published in China from January 2009 to December 2018, were collected to analyze the clinical features, laboratory examination results, diagnosis, treatment, and prognosis of HM patients. ResultsA total of 94 articles were included, with 562 patients in total, among whom there were 489 male patients and 73 female patients. Their age ranged from 17-81 years, with a mean age of 46.3±17.5 years. Hepatitis B cirrhosis was the most common etiology (64.4%), followed by alcoholic cirrhosis (10.3%) and hepatitis C cirrhosis (9.2%). The clinical manifestations of HM mainly included decline of muscle strength (89.50%), tendon hyperreflexia (76.87%), ataxia, and movement disorder (76.51%). Laboratory examination showed an increase in blood ammonia by 92.31% and a reduction in albumin by 88.96%. Imaging diagnosis mainly depended on electromyography (64.92%) and spinal cord MRI (22.82%), and abdominal color Doppler ultrasound, CT, or MRI alone has limited clinical value. After comprehensive medical treatment, no patient (0%) was cured, 106 patients (18.86%) were improved, 211 patients (37.54%) had no response, 31 patients (5.52%) worsened, 129 patients (22.95%) died, and 53 patients (9.43%) were not explained. A total of 39 patients underwent liver transplantation, with an improvement rate of 5641%. ConclusionHM is a rare complication of end-stage liver disease and is mainly observed in middle-aged men. It has the main manifestation of chronic and progressive spastic paraplegia of both lower limbs. Currently, there is no effective treatment method, and liver transplantation is feasible for some patients, with poor treatment response and poor prognosis.