Progressive fibrosing interstitial lung disease （PF-ILD） has a complex etiology， and is classified as lung impediment stage， impediment-atrophy combination stage， and lung atrophy stage according to the different clinical manifestations during the progression of disease. Based on the theory of opening-closing-pivoting to analyse the characteristics of yin and yang disease mechanism and the idea of prescriptions in the three stages. For lung impediment stage， main as three-Yang fail to keep inside， disharmony between Ying qi （营气） and Wei qi （卫气）， shaoyin impairment， treatment should use Mahuang （Ephedra sinica） and Guizhi （Neolitsea cassia） flexibly to form a formula， or choose pungent-dispersing formulas like Baidu Powder （败毒散） to move qi and save yang， and diffuse and disperse impediment pathogen， meanwhile combining saving-shaoyin medicinals like Fuzi （Aconitum carmichaelii） and Shudihuang （Radix Rehmanniae Praeparata） to reinforce healthy qi and dispel pathogen； for impediment-atrophy combination stage， rooted as yangming impairment and progressed by over-movement of qi， treatment should use Mahuang Shengma Decoction （麻黄升麻汤） to resolve and decrease over-activities， emphasis on both opening and closing， and improve impediment and atrophy； for lung atrophy stage with three-Yin in a bad condition simultaneously and poor prognosis， treatment should use modified Jinshui Liujun Decoction （金水六君煎） to consolidate qi and save yin， disperse phlegm and stasis， to improve the quality of life for patients with PF-ILD.

Objective:To explore the application of an automatic slide-dropping instrument in bone marrow chromosomal karyotyping.Methods:The effects of manual and automatic dropping methods under different environmental humidity were retrospectively analyzed, and the repeatability of the automatic dropping method was analyzed.Results:No statistical difference was found between the results of automatic and manual dropping methods under the optimum ambient humidity and high humidity ( P>0.05). At low humidity, there was a statistical difference between the two methods ( P<0.05). With regard to the repeatability, the coefficient of variations of the automatic dropping method for the number of split phases, the rate of good dispersion and the rate of overlap were all lower than those of the manual dropping method. A statistical difference was also found in the number of split phases ( P<0.05) but not in the discrete excellent rate and overlapping rate between the two methods ( P>0.05). Conclusion:Better effect can be obtained by the automatic dropping instrument. It is suggested to gradually replace manual work with machine.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

Objective:To construct and validate a predictive model for the risk of excessive blood loss in pa-tients with ruptured tubal pregnancy,and to provide a basis and tool for the assessment of changes in the condi-tion of patients with ruptured tubal pregnancy.Methods:Clinical data of inpatients with ruptured tubal pregnancy from January 2014 to July 2021 were retrospectively analyzed,who underwent surgical treatment in the Depart-ment of Gynecology,Dongguan Maternal and Child Health Hospital.The pelvic blood volume was categorized into excessive blood loss and non-excessive blood loss groups based on whether the amount of pelvic blood was found to be≥750 ml intraoperatively.Factors influencing the occurrence of excessive blood loss were screened and modeled by univariate analysis,Lasso regression,and multi-factor Logistic stepwise regression.The area un-der the subject working characteristic curve(AUC)was used to evaluate the discrimination of the predictive mod-el,the model's consistency was evaluated by calibration curve and goodness-of-fit test,and the clinical utility of the model was evaluated and validated by the decision analysis curve.Finally,column line plots were drawn.Results:①A total of 386 patients with ruptured tubal pregnancy were included,of whom 124(32.12%)had blood loss≥750 ml.②The optimal predictors for predicting concomitant blood loss in patients with ruptured tubal preg-nancy were screened,including:days of abdominal pain,dizziness,pallor,fatigue,the maximum diameter of para-metrial mass,human chorionic gonadotropin(β-hCG),and hemoglobin(Hb)and the model and the column line graphswere constructed accordingly.③The prediction model AUC was 0.827(95%CI 0.781-0.873);the cut-off value was 0.391,at which point the specificity and sensitivity were 68.55%and 84.35%,respectively,and the AUC validated within the model by resampling was 0.804.Clinical decision curves showed that the threshold probability intervals for the maximum net benefit values ranged from 8.5%-97%,respectively.Conclusions:The constructed prediction model was validated to suggest good discriminatory efficacy and degree of consistency.As a tool,it has clinical application value in predicting the risk of hemorrhage in patients with ruptured tubal pregnan-cy.It can help to determine the occurrence of adverse events such as hemorrhagic shock at an early stage and improve the success rate of rescue treatment.

OBJECTIVES: Firefighters are prone to suffer from psychological trauma and post-traumatic stress disorder (PTSD) in the workplace, and have a poor prognosis after PTSD. Reliable models for predicting PTSD allow for effective identification and intervention for patients with early PTSD. By collecting the psychological traits, psychological states and work situations of firefighters, this study aims to develop a machine learning algorithm with the aim of effectively and accurately identifying the onset of PTSD in firefighters, as well as detecting some important predictors of PTSD onset. METHODS: This study conducted a cross-sectional survey through convenient sampling of firefighters from 20 fire brigades in Changsha, which were evenly distributed across 6 districts and Changsha County, with a total of 628 firefighters. We used the synthetic minority oversampling technique (SMOTE) to process data sets and used grid search to finish the parameter tuning. The predictive capability of several commonly used machine learning models was compared by 5-fold cross-validation and using the area under the receiver operating characteristic curve (ROC-AUC), accuracy, precision, recall, and F1 score. RESULTS: The random forest model achieved good performance in predicting PTSD with an average AUC score at 0.790. The mean accuracy of the model was 90.1%, with an F1 score of 0.945. The three most important predictors were perseverance, forced thinking, and reflective deep thinking, with weights of 0.165, 0.158, and 0.152, respectively. The next most important predictors were employment time, psychological power, and optimism. CONCLUSIONS PTSD onset prediction model for Changsha firefighters constructed by random forest has strong predictive ability, and both psychological characteristics and work situation can be used as predictors of PTSD onset risk for firefighters. In the next step of the study, validation using other large datasets is needed to ensure that the predictive models can be used in clinical setting.
Humans ; Stress Disorders, Post-Traumatic/diagnosis* ; Firefighters/psychology* ; Cross-Sectional Studies ; Algorithms ; Machine Learning

An effective therapeutic regimen for hepatic fibrosis requires a deep understanding of the pathogenesis mechanism. Hepatic fibrosis is characterized by activated hepatic stellate cells (aHSCs) with an excessive production of extracellular matrix. Although promoted activation of HSCs by M2 macrophages has been demonstrated, the molecular mechanism involved remains ambiguous. Herein, we propose that the vitamin D receptor (VDR) involved in macrophage polarization may regulate the communication between macrophages and HSCs by changing the functions of exosomes. We confirm that activating the VDR can inhibit the effect of M2 macrophages on HSC activation. The exosomes derived from M2 macrophages can promote HSC activation, while stimulating VDR alters the protein profiles and reverses their roles in M2 macrophage exosomes. Smooth muscle cell-associated protein 5 (SMAP-5) was found to be the key effector protein in promoting HSC activation by regulating autophagy flux. Building on these results, we show that a combined treatment of a VDR agonist and a macrophage-targeted exosomal secretion inhibitor achieves an excellent anti-hepatic fibrosis effect. In this study, we aim to elucidate the association between VDR and macrophages in HSC activation. The results contribute to our understanding of the pathogenesis mechanism of hepatic fibrosis, and provide potential therapeutic targets for its treatment.
Humans ; Hepatic Stellate Cells/pathology* ; Receptors, Calcitriol ; Liver Cirrhosis/pathology* ; Macrophages/metabolism*

Implantation of drug-eluting stents (DES) is one of the most effective treatment for intraluminal vascular diseases such as vascular stenosis caused by atherosclerosis. Antiproliferative drugs offered by could significantly reduce the restenosis of blood vessels, which is beneficial to interventional therapy in more advanced and complex vascular diseases. This review sumarizes the state-of-the-art of the DES based on the function of loaded drug and material of the stents. We hope this review can provide basic information of DES for clinicians and researchers to make more rational choices in practical applications. Moreover, this review also propses the prospects of drug-loaded stents.

Objective To observe the effect of electroacupuncture at Baihui (DU20) and Shenting (DU24) on brain functional activity and working memory of rats with vascular cognitive impairment (VCI). Methods Eighteen Sprague-Dawley rats were included, in which twelve rats were ligated bilateral common carotid arteries and six rats were not ligated (sham group). The modeled rats were randomly divided into model group (n = 6) and electroacupuncture group (n = 6). The electroacupuncture group received electroacupuncture at Baihui and Shenting for four weeks. They were assessed with Y maze and Morris water maze before and after intervention, and scaned with resting-state functional magnetic resonance imaging after intervention to calculate regional homogeneity (ReHo). Results Compared with the sham group, alternation rate of Y maze decreased (P < 0.001), and escape latency of Morris water maze increased (P < 0.05) in the model group and the electroacupuncture group before intervention. Compared with the model group, alternation rate of Y maze increased (P < 0.05), and escape latency of Morris water maze decreased (P < 0.05) after intervention in the electroacupuncture group. Compared with the sham group, ReHo of bilateral hippocampus, olfactory cortex, sensory cortex and auditory cortex, and left striatum decreased in the model group; compared with the model group, ReHo of bilateral prefrontal lobe, hippocampus and olfactory cortex, and left amygdala increased in the electroacupuncture group. Conclusion Electroacupuncture at Baihui and Shenting can improve the memory function of VCI rats, which may be related to the functional activities of prefrontal lobes, hippocampus and amygdala.

Ossifying fibroma (OF) and fibrous dysplasia (FD) are two fibro-osseous lesions with overlapping clinicopathological features, making diagnosis challenging. In this study, we applied a whole-genome shallow sequencing approach to facilitate differential diagnosis via precise profiling of copy number alterations (CNAs) using minute amounts of DNA extracted from morphologically correlated microdissected tissue samples. Freshly frozen tissue specimens from OF (n = 29) and FD (n = 28) patients were obtained for analysis. Lesion fibrous tissues and surrounding normal tissues were obtained by laser capture microdissection (LCM), with ~30-50 cells (5 000-10 000 µm
DNA Copy Number Variations ; Diagnosis, Differential ; Fibroma, Ossifying/genetics* ; Fibrous Dysplasia of Bone/genetics* ; Galactosyltransferases ; Humans ; Jaw ; Neoplasm Recurrence, Local ; Nuclear Proteins

Objective: To evaluate the application of calcium suppressed (CaSupp) spectral CT technique in evaluating disk position and measuring the thickness of the posterior band of temporomandibular joint (TMJ). Methods: The twenty-three temporomandibular disorder patients [mean age 23(12~62) years, male/female=14/9] were performed with oblique sagittal and coronal proton density weighted imaging (PDWI) and spectral CT scans from February to July, 2019 in Department of Radiology, Hainan Hospital of General Hospital of Chinese PLA, and 45 TMJ joints were evaluated. The subjects were classified into two groups according to the scanning modalities: MRI measurement group and CaSupp spectral-based CT group. The CaSupp technique were applied with the spectral-based CT images and CaSupp images were generated. The oblique sagittal and coronal CaSupp imaged were reformatted by perpendicular to the long axis of the condyle. The TMJ disk positions were evaluated on oblique sagittal and coronal images, and the maximal disk thickness were measured on the oblique sagittal images. Results: The joint position was basically consistent on MRI and CaSupp images for the 45 TMJ joints. The intra-class coefficient value was 0.843 (0.712, 0.914) for the measurement of the posterior band of the TMJ disk between MRI and CaSupp images. Bland-Altman presented that the [95.6% (43/45)] points with the difference located in the 95% agreement interval. Wilcoxon paired text demonstrated that there was no significant different for the thickness of the posterior band between MRI [2.57 (1.76, 3.65) mm] and CaSupp images [2.67 (1.74, 4.56) mm] (P=0.07). Conclusions The CaSupp spectral-based CT could be used to evaluated the TMJ disk position and the thickness of the posterior band.