Chronic atrophic gastritis(CAG)is a common clinical digestive system disease and is responding specially to traditional Chinese medicine(TCM).Following Li Gao's elaborated theory of Zangqi Fashi(visceral qi being corresponding to the four seasons and five elements),this article proposed that the differentiation and treatment for CAG should be focused on middle jiao(spleen and stomach).Based on the connection between the qi movement of spleen-stomach and the yin-yang changes of the four seasons in nature,the etiology,pathogenesis,and treatment of CAG were analyzed.It is proposed that spleen-stomach deficiency is the root cause of CAG,and the internal generation of yin-fire is an important pathological state of CAG.The primary treatment principle for CAG is to tonify the spleen and stomach,and to subside yin fire.In clinical treatment of CAG,the formulation of the prescriptions for tonifying or purging should be based on the properties and flavors of herbal medicines,and then the ascending and descending of qi movement in the human body are normalized,and the exiting and entering of qi movement are in order.In addition to medicinal treatment,dietary regulation is also emphasized for the prevention and treatment of CAG.

Chronic non-specific lower back pain(CNLBP)is one of the most common symptoms in clinical lower back pain,which is prone to recurrence and shows a trend towards younger age.Patients with CNLBP typically experience local pain,reduced joint mobility and balance dysfunction.In depth analysis of the relevant factors that cause balance dysfunction in CNLBP patients and intervention methods can reveal the biological(mechanical)mechanisms of balance dysfunction in patients with CNLBP and provide references and basis for the subsequent improvement of CNLBP intervention methods.This review summarizes the research status of the impact of CNLBP on patients' balance function and disease intervention methods from several aspects,including balance dysfunction in patients with CNLBP,damage to the motor and nervous system,and intervention methods for the disease.The aim is to provide references for the subsequent research on the pathogenesis and intervention methods of CNLBP.

Objective To investigate the dynamic balance ability of healthy young adults under different obstacle-crossing strategies,thereby providing a theoretical basis for fall prevention training and public facility design.Methods Twenty healthy young adults participated in the experiment using F-scan plantar pressure analysis insoles.The subjects were required to cross three obstacles with different combinations of height and width.With their dominant foot serving as the leading foot and the non-dominant foot as the trailing foot,the subjects performed both lateral and forward crossing maneuvers,and their plantar pressure data were collected.Results Different crossing strategies significantly affected the adjustment speed of the leading foot's center of pressure in the medial-lateral direction(COP_ML),the area of the 95％confidence circle,ML amplitude,and anterior-posterior(AP)amplitude(P＜0.05).These strategies also significantly impacted the trailing foot's COP_ML adjustment speed,the area of the 95％confidence circle,and the range between the maximum and minimum swings(P＜0.05).For the leading foot,during lateral and forward crossing,the balance parameter values under different heights and widths were statistically significant(P＜0.05),increasing as the height and width increased.For the trailing foot,during forward crossing,the balance parameter values under different heights were statistically significant(P＜0.05),increasing with height,while during lateral crossing,the differences in balance parameter values were not statistically significant(P＞0.05).Conclusions Healthy young adults demonstrate better balance ability with the leading foot during forward obstacle crossing,which aligns with the movement habits of the dominant foot and daily activity patterns.The trailing foot exhibits a more stable plantar pressure distribution during lateral obstacle crossing,likely due to a larger contact area and more even center of gravity distribution.

Objective To investigate the dynamic balance ability of healthy young adults under different obstacle-crossing strategies,thereby providing a theoretical basis for fall prevention training and public facility design.Methods Twenty healthy young adults participated in the experiment using F-scan plantar pressure analysis insoles.The subjects were required to cross three obstacles with different combinations of height and width.With their dominant foot serving as the leading foot and the non-dominant foot as the trailing foot,the subjects performed both lateral and forward crossing maneuvers,and their plantar pressure data were collected.Results Different crossing strategies significantly affected the adjustment speed of the leading foot's center of pressure in the medial-lateral direction(COP_ML),the area of the 95％confidence circle,ML amplitude,and anterior-posterior(AP)amplitude(P＜0.05).These strategies also significantly impacted the trailing foot's COP_ML adjustment speed,the area of the 95％confidence circle,and the range between the maximum and minimum swings(P＜0.05).For the leading foot,during lateral and forward crossing,the balance parameter values under different heights and widths were statistically significant(P＜0.05),increasing as the height and width increased.For the trailing foot,during forward crossing,the balance parameter values under different heights were statistically significant(P＜0.05),increasing with height,while during lateral crossing,the differences in balance parameter values were not statistically significant(P＞0.05).Conclusions Healthy young adults demonstrate better balance ability with the leading foot during forward obstacle crossing,which aligns with the movement habits of the dominant foot and daily activity patterns.The trailing foot exhibits a more stable plantar pressure distribution during lateral obstacle crossing,likely due to a larger contact area and more even center of gravity distribution.

Chronic non-specific lower back pain(CNLBP)is one of the most common symptoms in clinical lower back pain,which is prone to recurrence and shows a trend towards younger age.Patients with CNLBP typically experience local pain,reduced joint mobility and balance dysfunction.In depth analysis of the relevant factors that cause balance dysfunction in CNLBP patients and intervention methods can reveal the biological(mechanical)mechanisms of balance dysfunction in patients with CNLBP and provide references and basis for the subsequent improvement of CNLBP intervention methods.This review summarizes the research status of the impact of CNLBP on patients' balance function and disease intervention methods from several aspects,including balance dysfunction in patients with CNLBP,damage to the motor and nervous system,and intervention methods for the disease.The aim is to provide references for the subsequent research on the pathogenesis and intervention methods of CNLBP.

Background Salidroside (SAL) has a protective effect on multiple organ systems. Exposure to fine particulate matter (PM_2.5) in the atmosphere may lead to disruptions in gut microbiota and impact intestinal health. The regulatory effect of SAL on the gut microbiota of mice exposed to PM_2.5 requires further investigation. Objective To evaluate gut microbiota disruption in mice after being exposed to PM_2.5 and the potential effect of SAL. Methods Forty male C57BL/6 mice, aged 6 to 8 weeks, were randomly divided into four groups: a control group, an SAL group, a PM_2.5 group, and an SAL+PM_2.5 group, each containing 10 mice. In the SAL group and the SAL+PM_2.5 group, the mice were administered SAL (60 mg·kg⁻¹) by gavage, while in the control group and the PM_2.5 group, sterile saline (10 mL·kg⁻¹) was administered by gavage. In the PM_2.5 group and the SAL+PM_2.5 group, PM_2.5 suspension (8 mg·kg⁻¹) was intratracheally instilled, and in the control group and SAL group, sterile saline (1.5 mL·kg⁻¹) was intratracheally administered. Each experiment cycle spanned 2 d, with a total of 10 cycles conducted over 20 d. Histopathological changes in the ileum tissue of the mice were observed after HE staining. Colon contents were collected for gut microbiota sequencing and short-chain fatty acids (SCFAs) measurements. Results The PM_2.5 group showed infiltration of inflammatory cells in the ileum tissue, while the SAL+PM_2.5 group exhibited only a small amount of inflammatory cell infiltration. Compared to the control group, the PM_2.5 group showed decreased Shannon index (P<0.05) and increased Simpson index (P<0.05), indicating that the diversity of gut microbiota in this group was decreased; the SAL+PM_2.5 group showed increased Shannon index compared to the PM_2.5 group (P<0.05) and decreased Simpson index (P<0.05), indicating that the diversity of gut microbiota in mice intervened with SAL was increased. The principal coordinates analysis (PCoA) revealed a significant separation between the PM_2.5 group and the control group, while the separation trend was less evident among the control group, the SAL group, and the SAL+PM_2.5 group. The unweighted pair-group method with arithmetic means (UPGMA) clustering tree results showed that the control group and the SAL group clustered together first, followed by clustering with the SAL+PM_2.5 group, and finally, the three groups clustered with the PM_2.5 group. The PCoA and UPGMA clustering results indicated that the uniformity and similarity of the microbiota in the PM_2.5 group were significantly decreased. Compared to the control group, the PM_2.5 group showed decreased abundance of phylum Bacteroidetes and Candidatus_Saccharimonas (P<0.05) and increased abundance of phylum Proteobacteria, genus Escherichia, genus Bacteroides, genus Prevotella, genus Enterococcus, and genus Proteus (P<0.05). Compared to the PM_2.5 group, the SAL+PM_2.5 group showed decreased abundance of phylum Proteobacteria, phylum Actinobacteria, genus Prevotella, and genus Proteus (P<0.05), and increased abundance of Candidatus_Saccharimonas (P<0.05). The PM_2.5 group showed reduced levels of propionic acid, valeric acid, and hexanoic acid compared to the control group (P<0.05), while the SAL+PM_2.5 group showed increased levels of propionic acid, isobutyric acid, butyric acid, valeric acid, and hexanoic acid compared to the PM_2.5 group (P<0.05). Conclusion Exposure to PM_2.5 can cause pathological alterations, microbial dysbiosis, and disturbing production of SCFAs in intestinal tissue in mice. However, SAL can provide a certain degree of protective effect against these changes.

Objective:To assess the efficacy and safety of the treat-and-extend (TAE) regimen and pro re nata (PRN) regimen of intravitreal conbercept in polypoidal choroidal vasculopathy (PCV) patients.Methods:A non-randomized controlled study was performed.Ninety-one patients (91 eyes) diagnosed with treatment-na?ve PCV from October 2016 to January 2019 at Department of Ophthalmology, Peking University People's Hospital were enrolled.All the patients received the intravitreal injection of 0.5 mg conbercept.After the initial treatment, the patients were divided into 3+ PRN group and 3+ TAE group according to their willingness.The follow-up time was one year.All the eyes underwent visual acuity test with ETDRS chart, optical coherence tomography (OCT) examination, fundus fluorescein angiography (FFA) and indocyanine green angiography (ICGA). Best corrected visual acuity (BCVA), central retinal thickness (CRT), maximum retinal thickness (MRT), pigment epithelium detachment (PED) height, the number and area of polypoidal lesions, the area of retinal hemorrhage and the area of branching vascular network (BVN) were recorded.Treatment interval and injection frequencies during the one-year follow-up were compared between the two groups.This study adhered to the Declaration of Helsinki.The study protocol was approved by Peking University People's Hospital (No.2020PHB250-01). Written informed consent was obtained from each patient.Results:One-year after treatment, the BCVA improvement in the 3+ PRN group and 3+ TAE group was 5.0(-2.0, 15.0) and 6.0(-1.0, 14.0) letters, respectively, showing no significant difference ( Z=-0.352, P=0.725). No significant differences were found in CRT, MRT and PED height between the two groups ( Z=-0.145, -0.529, -0.985, all at P>0.05). There was no significant difference in polypoidal lesions number, polypoidal lesions area, the number of eyes with different degrees of polyp regression, BVN area and retinal hemorrhage area between the two groups ( Z=-0.502, -0.300, -0.047, -0.265, -1.243, all at P>0.05). After the one-year follow-up, the mean injection frequency of 3+ PRN group was (7.6±0.9) times, which was lower than (8.4±2.0) times of 3+ TAE group, showing a significant difference ( t=2.432, P=0.019). The mean follow-up frequency was (11.3±1.5) times of 3+ PRN group, which was significantly higher than (10.1±1.7) times of 3+ TAE group ( t=3.403, P=0.001). For the 3+ TAE group, 17.1%(6/35) of patients achieved an extension interval of 12 weeks after the first 3 doses, and 48.5%(17/35) of patients achieved an extension interval of 8 weeks or more, with a mean maximum extension interval of (9.5±2.0) weeks.During the follow-up, 10 patients in 3+ PRN group and 8 patients in 3+ TAE group received photodynamic therapy as a rescue treatment. Conclusions:The 3+ PRN and 3+ TAE regimens of intravitreal injection of conbercept combined with photodynamic therapy as a rescue treatment have similar efficacy in visual and anatomical outcomes for PCV patients.3+ TAE regimen has a higher treatment frequency and fewer follow-up visits.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

This study used machine learning techniques combined with routine blood cell analysis parameters to build preliminary prediction models, helping differentiate patients with depression from healthy controls, or patients with anxiety. A multicenter study was performed by collecting blood cell analysis data of Beijing Chaoyang Hospital and the First Hospital of Hebei Medical University from 2020 to 2021. Machine learning techniques, including support vector machine, decision tree, naïve Bayes, random forest and multi-layer perceptron were explored to establish a prediction model of depression. The results showed that based on the blood cell analysis results of healthy controls and depression group, the accuracy of prediction model reached as high as 0.99, F1 was 0.975. Receiver operating characteristic curve area and average accuracy were 0.985 and 0.967, respectively. Platelet parameters contributed mostly to depression prediction model. While, to random forest differential diagnosis model based on the data from depression and anxiety groups, prediction accuracy reached 0.68 and AUC 0.622. Age, platelet parameters, and average volume of red blood cells contributed the most to the model. In conclusion, the study researched on the prediction model of depression by exploring blood cell analysis parameters, revealing that machine learning models were more objective in the evaluation of mental illness.
Humans ; Depression ; Bayes Theorem ; Machine Learning ; Support Vector Machine ; Blood Cell Count

This study used machine learning techniques combined with routine blood cell analysis parameters to build preliminary prediction models, helping differentiate patients with depression from healthy controls, or patients with anxiety. A multicenter study was performed by collecting blood cell analysis data of Beijing Chaoyang Hospital and the First Hospital of Hebei Medical University from 2020 to 2021. Machine learning techniques, including support vector machine, decision tree, naïve Bayes, random forest and multi-layer perceptron were explored to establish a prediction model of depression. The results showed that based on the blood cell analysis results of healthy controls and depression group, the accuracy of prediction model reached as high as 0.99, F1 was 0.975. Receiver operating characteristic curve area and average accuracy were 0.985 and 0.967, respectively. Platelet parameters contributed mostly to depression prediction model. While, to random forest differential diagnosis model based on the data from depression and anxiety groups, prediction accuracy reached 0.68 and AUC 0.622. Age, platelet parameters, and average volume of red blood cells contributed the most to the model. In conclusion, the study researched on the prediction model of depression by exploring blood cell analysis parameters, revealing that machine learning models were more objective in the evaluation of mental illness.
Humans ; Depression ; Bayes Theorem ; Machine Learning ; Support Vector Machine ; Blood Cell Count