Purpose::Under-foot impact loadings can cause serious lower limb injuries in many activities, such as automobile collisions and underbody explosions to military vehicles. The present study aims to compare the biomechanical responses of the mainstream vehicle occupant dummies with the human body lower limb model and analyze their robustness and applicability for assessing lower limb injury risk in underfoot impact loading environments.Methods::The Hybrid III model, the test device for human occupant restraint (THOR) model, and a hybrid human body model with the human active lower limb model were adopted for under-foot impact analysis regarding different impact velocities and initial lower limb postures.Results::The results show that the 2 dummy models have larger peak tibial axial force and higher sensitivity to the impact velocities and initial postures than the human lower limb model. In particular, the Hybrid III dummy model presented extremely larger peak tibial axial forces than the human lower limb model. In the case of minimal difference in tibial axial force, Hybrid III's tibial axial force (7.5 KN) is still 312.5% that of human active lower limb's (2.4 KN). Even with closer peak tibial axial force values, the biomechanical response curve shapes of the THOR model show significant differences from the human lower limb model.Conclusion::Based on the present results, the Hybrid III dummy cannot be used to evaluate the lower limb injury risk in under-foot loading environments. In contrast, potential improvement in ankle biofidelity and related soft tissues of the THOR dummy can be implemented in the future for better applicability.

Humans ; Consensus ; Hypersensitivity ; Desensitization, Immunologic/adverse effects* ; Immunotherapy/adverse effects* ; Injections, Subcutaneous ; Allergens

Objective: To analyze the epidemiological characteristics of typhus in China from 1950 to 2021, and discuss the challenges in typhus prevention and control in China and suggest future prevention and control strategies. Methods: Based on the reported data of typhus from 1950 to 2021 in China from the Infectious Disease History Database of China Public Health Science Data Center and the National Notifiable Infectious Disease Reporting Information System of Chinese Center for Disease Control and Prevention, we conducted a descriptive statistical analysis. Mann-Kendall test and circular distribution method were used to analyze the incidence, mortality and case fatality of typhus to reveal the temporal, spatial and population distributions and diagnosis of typhus in China. Results: From 1950 to 2021, a total of 452 965 typhus cases and 7 339 typhus deaths were reported in China, with the cases numbers exceeding 10 000 in 14 years of the 1950s, 1960s and 1980s, respectively. Since 1990s, the reported cases and incidence rate of typhus have decreased dramatically and the most cases were sporadic. However, the reported typhus cases in Anhui, Hubei, Hunan Provinces showed significant uptrends. Although typhus could occur all the year round, but the seasonality was observed with the incidence mainly in summer and autumn. For different provinces from the north to the south, the peaks of typhus' monthly incidence tended to shift to earlier dates. The male to female ratio of the cases was 1.01∶1 (18 529∶18 366). However, more cases occurred in women in recent years. The cases aged ≤9 years accounted for the highest proportion (18.9%), but the number of cases aged ≥50 years showed an upward trend. Most cases were farmers with the proportion increasing year by year. Moreover, the cases in students and scattered-living children also accounted for relatively higher proportions. The median of the interval between onset and diagnosis of typhus was 6 days. Most cases were clinically diagnosed, while the proportion of laboratory-confirmed cases was low and most laboratory cases were confirmed by Well-Felix reaction. Conclusions: Although the incidence and mortality of typhus in China has decreased significantly, the risk for local typhus outbreaks still exists. The prevention and control of typhus still face many challenges. It is indispensable to strengthen the pathogen detection and surveillance for typhus in China.
Child ; Humans ; Male ; Female ; Scrub Typhus/epidemiology* ; Typhus, Epidemic Louse-Borne/epidemiology* ; China/epidemiology* ; Incidence ; Disease Notification

OBJECTIVE: To identify specific Chinese medicines (CMs) that may benefit patients with gastroesophageal reflux disease (GERD), and explore the action mechanism. METHODS: Domestic and foreign literature on the treatment of GERD with CMs was searched and selected from China National Knowledge Infrastructure, China Science and Technology Journal Database, Wanfang Database, and PubMed from October 1, 2011 to October 1, 2021. Data from all eligible articles were extracted to establish the database of CMs for GERD. Apriori algorithm of data mining techniques was used to analyze the rules of herbs selection and core Chinese medicine formulas were identified. A system pharmacology approach was used to explore the action mechanism of these medicines. RESULTS: A total of 278 prescriptions for GERD were analyzed, including 192 CMs. Results of Apriori algorithm indicated that Evodiae Fructus and Coptidis Rhizoma were the highest confidence combination. A total of 32 active ingredients and 66 targets were screened for the treatment of GERD. Enrichment analysis showed that the mechanisms of action mainly involved pathways in cancer, fluid shear stress and atherosclerosis, advanced glycation end product (AGE), the receptor for AGE signaling pathway in diabetic complications, bladder cancer, and rheumatoid arthritis. CONCLUSION Evodiae Fructus and Coptidis Rhizoma are the core drugs in the treatment of GERD and the potential mechanism of action of these medicines includes potential target and pathways.
Humans ; Drugs, Chinese Herbal/therapeutic use* ; Medicine, Chinese Traditional ; Network Pharmacology ; Data Mining ; Gastroesophageal Reflux/drug therapy*

COVID-19 has been prevalent for three years. The virulence of SARS-CoV-2 is weaken as it mutates continuously. However, elderly patients, especially those with underlying diseases, are still at high risk of developing severe infections. With the continuous study of the molecular structure and pathogenic mechanism of SARS-CoV-2, antiviral drugs for COVID-19 have been successively marketed, and these anti-SARS-CoV-2 drugs can effectively reduce the severe rate and mortality of elderly patients. This article reviews the mechanism, clinical medication regimens, drug interactions and adverse reactions of five small molecule antiviral drugs currently approved for marketing in China, so as to provide advice for the clinical rational use of anti-SARS-CoV-2 in the elderly.

Osteoporotic vertebral compression fracture (OVCF) can lead to lower back pain and may be even accompanied by scoliosis, neurological dysfunction and other complications, which will affect the daily activities and life quality of patients. Vertebral augmentation is an effective treatment method for OVCF, but it cannot correct unbalance of bone metabolism or improve the osteoporotic status, causing complications like lower back pain, limited spinal activities and vertebral refracture. The post-operative systematic and standardized rehabilitation treatments can improve curative effect and therapeutic efficacy of anti-osteoporosis, reduce risk of vertebral refracture, increase patient compliance and improve quality of life. Since there still lack relevant clinical treatment guidelines for postoperative rehabilitation treatments following vertebral augmentation for OVCF, the current treatments are varied with uneven therapeutic effect. In order to standardize the postoperative rehabilitation treatment, the Spine Trauma Group of the Orthopedic Branch of Chinese Medical Doctor Association organized relevant experts to refer to relevant literature and develop the "Guideline for postoperative rehabilitation treatment following vertebral augmentation for osteoporotic vertebral compression fracture (2022 version)" based on the clinical guidelines published by the American Academy of Orthopedic Surgeons (AAOS) as well as on the principles of scientificity, practicality and advancement. The guideline provided evidence-based recommendations on 10 important issues related to postoperative rehabilitation treatments of OVCF.

Objective:To investigate the molecular testing of liquid-based cytology (LBC) specimens from advanced non-small cell lung cancer (NSCLC) patients and the reliability of guiding targeted therapy.Methods:The LBC specimens and clinical data of 412 advanced NSCLC patients from March 2015 to April 2017 in the Cancer Hospital, Chinese Academy of Medical Sciences were collected, of which 32 patients had postoperative or biopsy specimens. The real-time quantitative polymerase chain reaction was used to detect mutations of EGFR, KRAS and BRAF, and analyze the correlation between gene mutations and clinicopathological characteristics. The results of genetic testing of LBC specimens and histology specimens were examined for concordance. Clinical efficacy was evaluated in 142 patients treated with EGFR-tyrosine kinase inhibitor (TKI) drugs, and survival analysis was performed using the Kaplan-Meier method.Results:Of the 412 LBC specimens, 216 (52.4%) had EGFR mutations, 36 (8.7%) had KRAS gene mutations, and 3 (0.7%) had BRAF gene mutations. EGFR mutation was associated with gender, pathology type, and specimen source, with a higher EGFR mutation rate in female patients (63.0%) than in male patients (40.8%, P<0.001) and a higher EGFR mutation rate in adenocarcinoma (54.3%) than in non-adenocarcinoma (0.0%, P<0.001). KRAS mutation was related to gender, with a higher EGFR mutation rate in male patients (12.2%) than in female patients (5.6%, P=0.016). The three cases with multiple co-mutations were all stage Ⅳ male adenocarcinoma patients. Thirty-two patients with both LBC specimens and histology specimens had concordant genetic results between LBC specimens and histology specimens in 30 patients ( Kappa=0.91). Twelve patients with both histology and LBC specimens from metastases had identical genetic results ( Kappa=1.00). Nineteen patients with histology specimens from primary foci in lungs and LBC specimens from metastases had concordant genetic results between two specimens in 18 patients ( Kappa=0.92). The disease control rate (DCR) for EGFR mutation-positive patients treated with EGFR-TKI was 89.0% (89/100) and the progression-free survival time (PFS) was 13.8 months, both higher than those of EGFR mutation-negative patients [DCR of 30.8% (4/13) and median PFS of 1.4 months, P<0.01]. Conclusions:The results of molecular testing of LBC specimens and histological specimens are highly consistent, which demonstrates LBC specimens can be a crucial source of gene testing for advanced NSCLC. Molecular typing of advanced NSCLC based on the results of genetic testing of LBC specimens and guiding EGFR-TKI drug-targeted therapy can achieve high DCR and PFS, which has important clinical value.

Objective:To investigate the molecular testing of liquid-based cytology (LBC) specimens from advanced non-small cell lung cancer (NSCLC) patients and the reliability of guiding targeted therapy.Methods:The LBC specimens and clinical data of 412 advanced NSCLC patients from March 2015 to April 2017 in the Cancer Hospital, Chinese Academy of Medical Sciences were collected, of which 32 patients had postoperative or biopsy specimens. The real-time quantitative polymerase chain reaction was used to detect mutations of EGFR, KRAS and BRAF, and analyze the correlation between gene mutations and clinicopathological characteristics. The results of genetic testing of LBC specimens and histology specimens were examined for concordance. Clinical efficacy was evaluated in 142 patients treated with EGFR-tyrosine kinase inhibitor (TKI) drugs, and survival analysis was performed using the Kaplan-Meier method.Results:Of the 412 LBC specimens, 216 (52.4%) had EGFR mutations, 36 (8.7%) had KRAS gene mutations, and 3 (0.7%) had BRAF gene mutations. EGFR mutation was associated with gender, pathology type, and specimen source, with a higher EGFR mutation rate in female patients (63.0%) than in male patients (40.8%, P<0.001) and a higher EGFR mutation rate in adenocarcinoma (54.3%) than in non-adenocarcinoma (0.0%, P<0.001). KRAS mutation was related to gender, with a higher EGFR mutation rate in male patients (12.2%) than in female patients (5.6%, P=0.016). The three cases with multiple co-mutations were all stage Ⅳ male adenocarcinoma patients. Thirty-two patients with both LBC specimens and histology specimens had concordant genetic results between LBC specimens and histology specimens in 30 patients ( Kappa=0.91). Twelve patients with both histology and LBC specimens from metastases had identical genetic results ( Kappa=1.00). Nineteen patients with histology specimens from primary foci in lungs and LBC specimens from metastases had concordant genetic results between two specimens in 18 patients ( Kappa=0.92). The disease control rate (DCR) for EGFR mutation-positive patients treated with EGFR-TKI was 89.0% (89/100) and the progression-free survival time (PFS) was 13.8 months, both higher than those of EGFR mutation-negative patients [DCR of 30.8% (4/13) and median PFS of 1.4 months, P<0.01]. Conclusions:The results of molecular testing of LBC specimens and histological specimens are highly consistent, which demonstrates LBC specimens can be a crucial source of gene testing for advanced NSCLC. Molecular typing of advanced NSCLC based on the results of genetic testing of LBC specimens and guiding EGFR-TKI drug-targeted therapy can achieve high DCR and PFS, which has important clinical value.

BACKGROUND: The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions. In China, breast masses are divided into four categories according to the treatment method: inflammatory masses, adenosis, benign tumors, and malignant tumors. These categorizations are important for guiding clinical treatment. In this study, we aimed to develop a convolutional neural network (CNN) for classification of these four breast mass types using ultrasound (US) images. METHODS: Taking breast biopsy or pathological examinations as the reference standard, CNNs were used to establish models for the four-way classification of 3623 breast cancer patients from 13 centers. The patients were randomly divided into training and test groups (n = 1810 vs. n = 1813). Separate models were created for two-dimensional (2D) images only, 2D and color Doppler flow imaging (2D-CDFI), and 2D-CDFI and pulsed wave Doppler (2D-CDFI-PW) images. The performance of these three models was compared using sensitivity, specificity, area under receiver operating characteristic curve (AUC), positive (PPV) and negative predictive values (NPV), positive (LR+) and negative likelihood ratios (LR-), and the performance of the 2D model was further compared between masses of different sizes with above statistical indicators, between images from different hospitals with AUC, and with the performance of 37 radiologists. RESULTS: The accuracies of the 2D, 2D-CDFI, and 2D-CDFI-PW models on the test set were 87.9%, 89.2%, and 88.7%, respectively. The AUCs for classification of benign tumors, malignant tumors, inflammatory masses, and adenosis were 0.90, 0.91, 0.90, and 0.89, respectively (95% confidence intervals [CIs], 0.87-0.91, 0.89-0.92, 0.87-0.91, and 0.86-0.90). The 2D-CDFI model showed better accuracy (89.2%) on the test set than the 2D (87.9%) and 2D-CDFI-PW (88.7%) models. The 2D model showed accuracy of 81.7% on breast masses ≤1 cm and 82.3% on breast masses >1 cm; there was a significant difference between the two groups (P < 0.001). The accuracy of the CNN classifications for the test set (89.2%) was significantly higher than that of all the radiologists (30%). CONCLUSIONS: The CNN may have high accuracy for classification of US images of breast masses and perform significantly better than human radiologists. TRIAL REGISTRATION Chictr.org, ChiCTR1900021375; http://www.chictr.org.cn/showproj.aspx?proj=33139.
Area Under Curve ; Breast/diagnostic imaging* ; Breast Neoplasms/diagnostic imaging* ; China ; Deep Learning ; Humans ; ROC Curve ; Sensitivity and Specificity

OBJECTIVES: To develop a new Chinese medicine (CM)-based drug and to evaluate its safety and effect for suppressing acute respiratory distress syndrome (ARDS) in COVID-19 patients. METHODS: A putative ARDS-suppressing drug Keguan-1 was first developed and then evaluated by a randomized, controlled two-arm trial. The two arms of the trial consist of a control therapy (alpha interferon inhalation, 50 µg twice daily; and lopinavir/ritonavir, 400 and 100 mg twice daily, respectively) and a testing therapy (control therapy plus Keguan-1 19.4 g twice daily) by random number table at 1:1 ratio with 24 cases each group. After 2-week treatment, adverse events, time to fever resolution, ARDS development, and lung injury on newly diagnosed COVID-19 patients were assessed. RESULTS: An analysis of the data from the first 30 participants showed that the control arm and the testing arm did not exhibit any significant differences in terms of adverse events. Based on this result, the study was expanded to include a total of 48 participants (24 cases each arm). The results show that compared with the control arm, the testing arm exhibited a significant improvement in time to fever resolution (P=0.035), and a significant reduction in the development of ARDS (P=0.048). CONCLUSIONS Keguan-1-based integrative therapy was safe and superior to the standard therapy in suppressing the development of ARDS in COVID-19 patients. (Trial registration No. NCT04251871 at www.clinicaltrials.gov ).
Administration, Inhalation ; Adult ; China ; Coronavirus Infections ; diagnosis ; drug therapy ; mortality ; Dose-Response Relationship, Drug ; Drug Administration Schedule ; Drugs, Chinese Herbal ; administration & dosage ; Female ; Follow-Up Studies ; Humans ; Integrative Medicine ; Interferon-alpha ; administration & dosage ; Lopinavir ; administration & dosage ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral ; diagnosis ; drug therapy ; mortality ; Risk Assessment ; Severe Acute Respiratory Syndrome ; diagnosis ; drug therapy ; mortality ; Severity of Illness Index ; Survival Rate