OBJECTIVE: To establish foot and ankle models of different lateral collateral ligament injuries of ankle joint, and conduct finite element analysis on, and to explore the force conditions of subtalar articular cartilage during foot inversion movements under different gait stages and under different loads. METHODS: A normal ankle CT scan of a 30-year-old male healthy volunteer (heighted 175 cm and weighted 60 kg) was selected. The CT images were imported into software such as Mimics 21.0, Geomajic 2017, and Solidworks 2017 respectively, extract the normal ankle bone model. Then, the foot and ankle finite element models of different lateral collateral ligament injuries of ankle joint were constructed and divided into anterior talofibular ligament(ATFL) rupture group, ATFL and calcaneo fibular ligament (CFL) rupture group, ATFL, CFL and posterior talofibular ligament (PTFL) rupture group, and control group with intact ligament function by ANSYS 2021. Corresponding horizontal and vertical loads and torques were applied respectively on tibia and talus according to the force conditions of different phases to simulate landing phase, neutral and off-ground phase in walking gait. The changes in stress distribution area and stress peak of subtalar articular cartilage in the loading phase, neutral phase and off-ground phase gaits among four groups were observed. Simulate varus sprain action, apply different loads of 600, 1, 800, and 4, 200 N respectively, and changes in stress distribution area and the stress peak of subtalar articular cartilage among four groups of models were observed. RESULTS: In the gait simulation, the stress results of loading phase in ATFL fracture group, ATFL and CFL fracture groups, ATFL, CFL and PTFL fracture groups, and control group were 0.889 54, 0.960 89, 1.139 20, and 0.722 64 MPa, respectively. The neutral response force results were 1.250 60, 1.358 50, 1.363 70, 1.246 40 MPa respectively;the results of corresponding forces off-ground phase were 1.029 90, 1.138 70, 1.145 90 and 0.832 40 MPa respectively. In the inversion simulation, the stresses of ATFL fracture group, ATFL and CFL fracture groups, ATFL, CFL and PTFL fracture groups, and control group under load of 600 N were 2.191 3, 2.208 5, 2.215 7, and 2.156 6 MPa respectively. The stresses under a load of 1 800 N were 7.134 7, 9.715 2, 10.064 0, and 7.107 0 MPa respectively;the stresses under a load of 4 200 N were 17.435 0, 25.309 0, 26.119 0 and 16.010 0 MPa respectively. CONCLUSION The lateral collateral ligament of ankle joint plays an important role in the stability of the subtalar joint, especially CFL plays an important role in restricting calcaneal varus. If these ligaments are damaged, it will cause instability of the subtalar joint and further lead to lesions in the subtalar articular cartilage. Relevant exercises should be reduced or the ligament injuries should be treated in a timely manner.
Humans ; Finite Element Analysis ; Male ; Adult ; Cartilage, Articular/physiopathology* ; Ankle Injuries/physiopathology* ; Ankle Joint/physiopathology* ; Biomechanical Phenomena ; Subtalar Joint/injuries* ; Tomography, X-Ray Computed

Objective To compare the anesthetic effect and safety of remimazolam and propofol on patients underwent video-assisted thoracoscopic surgery for lung cancer.Methods Clinical data of patients with lung cancer underwent video-assisted thoracoscopic surgery were retrospectively collected.Remimazolam group was anesthetized by remimazolam,and propofol group was anesthetized by propofol.The changes in mean arterial pressure(MAP)and heart rate(HR)were compared between the two groups of patients before anesthesia induction(T0),after 5 min of tracheal intubation(T1),after 1 h of surgery(T2),during thorax closure(T3)and at 5 min after extubation(T4).The sedation onset time,recovery time and extubation time in the two groups were recorded.Stress response indicators[adrenocorticotropic hormone(ACTH),cortisol(Cor)]were compared at T0 and T4.Ramsay sedation score(RSS)was used to assess the sedation degree at T4.Visual analogue score(VAS)was applied to evaluate the pain degree at 2,12 and 24 h after surgery,and the perioperative anaesthesia-related adverse events were observed.Results There were 58 cases in remimazolam group and 64 cases in propofol group.The MAP values at T1 in remimazolam group and propofol group were(85.03±4.37)and(78.24±4.48)mmHg;at T2 were(80.39±3.95)and(75.49±4.11)mmHg;at T3 were(84.43±4.02)and(79.59±3.97)mmHg;the HR values at T2 were(76.44±5.75)and(72.39±6.03)beat·min-1,the difference were all significant(all P＜0.05).The sedation onset times in remimazolam group and propofol group were(62.45±6.27)and(72.33±7.19)s;the recovery times were(7.22±1.23)and(8.24±1.48)min;the extubation times were(8.34±1.50)and(10.09±1.83)min;the RSS scores at T4 were(2.03±0.39)and(1.88±0.35)points,the difference were all significant(all P＜0.05).The total incidence rates of anesthesia-related adverse events in remimazolam group and propofol group were 6.90％and 21.88％,respectively(P＜0.05).Conclusion Both remimazolam and propofol can play a good sedative effect during lung cancer video-assisted thoracoscopic surgery anesthesia.Remimazolam anesthesia has more stable intraoperative hemodynamics,faster onset and elimination,and higher safety.

Objective:To investigate the therapeutic effect of high-flow nasal cannula oxygen therapy (HFNC) and non-invasive positive pressure ventilation (NPPV) on patients with pulmonary edema caused by seawater drowning.Methods:A retrospective analysis method was used. Based on the Utstein database of emergency drowning in the First Hospital of Qinhuangdao, the clinical data of patients with seawater drowning pulmonary edema admitted to the emergency medicine department of the First Hospital of Qinhuangdao from January 1, 2019 to December 31, 2022 were collected. The patients were divided into NPPV group and HFNC group according to different ventilation methods. The general data, endotracheal intubation rate in 7 days, arterial blood gas analysis indexes [arterial partial pressure of oxygen (PaO 2), arterial partial pressure of carbon dioxide (PaCO 2), arterial oxygen saturation (SaO 2)] and hemodynamic indexes (systolic blood pressure, diastolic blood pressure, mean arterial pressure, heart rate, blood lactic acid) before and after treatment, length of stay in intensive care unit (ICU), oxygen therapy comfort of the two groups were compared. Results:A total of 54 patients were enrolled, including 21 patients in the NPPV group and 33 patients in the HFNC group. There were no significant differences in gender, age, state of consciousness and other general information between the two groups. Compared with NPPV group, the rate of endotracheal intubation in HFNC group within 7 days was significantly lower [24.2% (8/33) vs. 33.3% (7/21), P < 0.05]. Before treatment, there were no significant differences in arterial blood gas analysis and hemodynamics between the two groups. After treatment, the above indexes in both groups were significantly improved compared with those before treatment, and PaO 2, SaO 2, systolic blood pressure, diastolic blood pressure and mean arterial pressure in HFNC group were significantly higher than those in NPPV group [PaO 2 (mmHg, 1 mmHg≈0.133kPa): 93.56±6.37 vs. 82.14±6.25, SaO 2: 1.02±0.09 vs. 0.95±0.11, systolic blood pressure (mmHg): 117.37±8.43 vs. 110.42±8.38, diastolic blood pressure (mmHg): 79.43±7.61 vs. 72.21±4.32, mean arterial pressure (mmHg): 92.34±6.32 vs. 85.12±5.38], PaCO 2, heart rate and blood lactic acid were significantly lower than those in NPPV group [PaCO 2 (mmHg) : 34.26±5.63 vs. 37.24±6.22, heart rate (times/min): 73.38±7.56 vs. 86.25±5.41, blood lactic acid (mmol/L): 1.38±0.36 vs. 2.25±1.14], and the differences were statistically significant (all P < 0.05). In addition, the length of ICU stay in HFNC group was significantly shorter than that in NPPV group (days: 13.30±2.38 vs. 16.27±4.26), and the comfort rate of oxygen therapy was significantly higher than that in NPPV group [66.7% (22/33) vs. 42.8% (9/21)], with statistical significance (all P < 0.05). Conclusion:HFNC can improve the oxygenation of patients with pulmonary edema caused by seawater drowning, improve hemodynamics, reduce the rate of tracheal intubation, shorten the length of ICU stay, and improve the comfort of oxygen therapy, which has certain clinical application value.

Objective Viral encephalitis is an infectious disease severely affecting human health.It is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other viruses.The laboratory diagnosis of viral encephalitis is a worldwide challenge.Recently,high-throughput sequencing technology has provided new tools for diagnosing central nervous system infections.Thus,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon sequencing. Methods We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant literature.The detection ability of the primers was verified by software simulation and the detection of known positive samples.Amplicon sequencing was used to validate the samples,and consistency was compared with Sanger sequencing. Results The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted amplicons.The sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger sequencing. Conclusion Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral encephalitis.It is also a useful tool for the high-volume screening of clinical samples.

Background::Patients who undergo coronary artery bypass grafting (CABG) are known to be at a significant risk of experiencing long-term adverse events, emphasizing the importance of regular assessments. Evaluating health-related quality of life (HRQoL) serves as a direct method to gauge prognosis. Our objective is to ascertain the prognostic significance of consecutive HRQoL assessments using the Physical Component Summary (PCS) and Mental Component Summary (MCS) derived from the Short-Form 36 (SF-36) health survey in CABG patients.Methods::The study population consisted of 433 patients who underwent isolated elective CABG at Fuwai Hospital between 2012 and 2013. SF-36 assessments were conducted during both the hospitalization period and follow-up. The primary endpoint of the study was all-cause mortality, while the secondary outcome was a composite measure including death, myocardial infarction, stroke, and repeat revascularization. We assessed the relationships between the PCS and MCS at baseline, as well as their changes during the first 6 months after the surgery (referred to as ΔPCS and ΔMCS, respectively), and the observed outcomes.Results::The patients were followed for an average of 6.28 years, during which 35 individuals (35/433, 8.1%) died. After adjusting for clinical variables, it was observed that baseline MCS scores (hazard ratio [HR] for a 1-standard deviation [SD] decrease, 1.57; 95% confidence interval [CI], 1.07–2.30) and ΔMCS (HR for a 1-SD decrease, 1.67; 95% CI, 1.09–2.56) were associated with all-cause mortality. However, baseline PCS scores and ΔPCS did not exhibit a significant relationship with all-cause mortality. Notably, there was a dose-response relationship observed between ΔMCS and the likelihood of all-cause mortality (HRs for the 2nd, 3rd and 4th quartiles compared to the 1st quartile, 0.33, 0.45 and 0.11, respectively).Conclusions::Baseline MCS and changes in MCS were independent predictors for long-term mortality of CABG. Better mental health status and recovery indicated better prognosis.

OBJECTIVE: To establish a machine learning model to predict the risk of early neurological deterioration (END) based on the clinical and laboratory data of patients with acute ischemic stroke (AIS) before intravenous thrombolysis. METHODS: The clinical data of AIS patients who received intravenous thrombolytic with recombinant tissue plasminogen activator (rt-PA) at the Stroke Center of the First Hospital of Qinhuangdao City from January 2019 to July 2022 were retrospectively analyzed. Patients were divided into END group and non-END group according to whether END appeared after intravenous thrombolytic. Clinical data of patients at admission were collected, including demographic characteristics, clinical evaluation, comorbidification, drug use history, laboratory tests, etc. Univariate and multivariate Logistic regression analysis were performed to screen out the independent predictors of the END of AIS patients after intravenous thrombolytic. The study subjects were randomly divided into a training set and a test set in a 7 : 3 ratio. Four machine learning prediction models, including Logistic regression (LR), K-nearest neighbor (KNN), support vector machine (SVM) and random forest (RF), were established based on independent predictors. The receiver operator characteristic curve (ROC curve) was used to evaluate the predictive ability of each model in END. RESULTS: A total of 704 patients were enrolled, of whom 99 were identified as END and 605 as non-END. Univariate and multivariate Logistic regression analysis was used to screen out the National Institutes of Health stroke scale [NIHSS, odds ratio (OR) = 1.049, 95% confidence interval (95%CI) was 1.015-1.082, P = 0.004], systolic blood pressure (OR = 1.013, 95%CI was 1.004-1.022, P = 0.004), lymphocyte percentage (LYM%, OR = 0.903, 95%CI was 0.853-0.953, P < 0.001), platelet to lymphocyte ratio (PLR, OR = 1.007, 95%CI was 1.002-1.014, P = 0.013) were the independent predictors of END in AIS patients after intravenous thrombolysis. The area under the curve (AUC) of LR, KNN, SVM, and RF machine learning models in the test dataset were 0.789 (95%CI was 0.675-0.902), 0.797 (95%CI was 0.685-0.910), 0.851 (95%CI was 0.751-0.952) and 0.809 (95%CI was 0.699-0.919), respectively. The RF model had the highest sensitivity (95.7%). The accuracy (0.736), specificity (72.0%) and AUC of SVM model were the highest, and its overall prediction ability was better than the other three models. CONCLUSIONS Machine learning models have a potential role in early predicting the risk of END after intravenous thrombolysis in AIS patients, and can provide help in clinical decision-making for intravenous thrombolysis.
Humans ; Tissue Plasminogen Activator/therapeutic use* ; Ischemic Stroke/drug therapy* ; Brain Ischemia ; Retrospective Studies ; Thrombolytic Therapy ; Stroke ; Fibrinolytic Agents/therapeutic use*

Comprehensive geriatric assessment clinic can identify geriatric syndrome as well as geriatric health problems, and provide comprehensive systematic diagnosis and treatment for older patients, which is conducive to reducing the number of outpatient visits and saving medical costs.However, the construction of comprehensive geriatric assessment clinic in China is just in the initial stage.There are no guiding opinions on the orientation, work content, work process, and quality management.Therefore, this consensus was conducted based on the latest evidence and expert opinions which aims to provide guidance for the construction of comprehensive geriatric assessment clinic.

ObjectiveTo compare the therapeutic effects of oral Chinese medicines （including Chinese patent medicines） on coronary artery disease （CAD） by the Bayesian network Meta-analysis. MethodThe randomized controlled trials of treating CAD with oral Chinese medicines were retrieved from the China National Knowledge Infrastructure （CNKI）， Wanfang Data， VIP， PubMed， Web of Science， Embase， and Cochrane Library from the inception to December 1， 2022. The Cochrane risk of bias assessment tool was used to evaluate the quality of the included articles. The direct meta-analysis was performed to compare the performance of oral Chinese medicines alone and in combination with Western medicine in the treatment of CAD in terms of intima-media thickness （IMT）， vascular endothelial function， plaque score， hypersensitive C-reactive protein （hs-CRP）， total cholesterol （TC）， triglyceride （TG）， high-density lipoprotein cholesterol （HDL-C）， low-density lipoprotein cholesterol （LDL-C）， and total response rate. Furthermore， the Bayesian network Meta-analysis was performed to compare the therapeutic effects of different Chinese medicines. ResultA total of 41 articles were included. The direct meta-analysis results showed that Chinese medicines combined with Western medicine outperformed Western medicine alone in recovering all the indicators of CAD. The Bayesian network meta-analysis yielded the following results. In terms of the total response rate， modified Huangqi Guizhi Wuwutang and Sanqi Huayu pills had obvious advantages over other Chinese medicines. In terms of IMT and plaque score， Xiaoban Huazhuo decoction， Yiqi Tongluo formula， Ruangan Jiangzhi capsules， and Guanxin Shutong capsules had obvious advantages over other Chinese medicines. In terms of blood lipid indicators， Shenqi Roumai mixture， Ruangan Jiangzhi capsules， Xiaoban Huazhuo decoction， Qiwei Sanxiong decoction， and Sanqi Huayu pills were superior to other Chinese medicines. The Chinese medicines above mainly had the functions of activating blood， resolving stasis， resolving phlegm， and dredging vessels. ConclusionThe combination of oral Chinese medicines and Western medicine is effective in treating CAD. Clinicians can use the drugs targeting abnormal indicators according to the results of this Bayesian network meta-analysis combined with the actual situation of patients to achieve better therapeutic effects.

Aiming at the hysteresis and destructiveness of off-line static detection of critical quality attribute of the moisture content of the raw material unit of the traditional Chinese medicine manufacturing process, honey-processed Tussilago farfara, honey-processed Astragalus and honey-processed Glycyrrhiza uralensis were used as the research carriers, and the drying method was used to measure the moisture content as a reference value. The moving stage was used to simulate the movement process of samples on the conveyor belt in the actual on-site production process, and near-infrared (NIR) spectra were collected, combined with machine learning, to establish NIR on-site dynamic detection model of moisture content in multi-variety honey-processed Chinese herbal slice. The results show that the second derivative method is used to preprocess the spectrum. The number of decision trees (ntree), the number of random features (max feature), and the minimum number of samples for generating leaf nodes (node size) are selected: 46, 76, and 8, respectively. The quantitative analysis model of moisture content has the best effect. The prediction coefficient of determination (the prediction coefficient of determination, R²_pre) and the root mean square error of prediction (root mean square error of prediction, RMSEP) of the model were 0.903 2 and 0.330 2, respectively. The NIR quantitative model for the moisture content of multi-variety honey-processed Chinese herbal slice established in this study has good predictive performance, and can achieve rapid, accurate and non-destructive quantitative analysis of the moisture content of honey-processed Tussilago farfara, honey-processed Astragalus and honey-processed Glycyrrhiza uralensis at the same time, and provides a method for determining the moisture content of honey-processed Chinese herbal slice of the raw material unit of the traditional Chinese medicine manufacturing process.