Chronic heart failure （CHF） is a complex clinical syndrome caused by ventricular dysfunction， with mitochondrial energy metabolism disorder being a critical factor in disease progression. Heart-Yang deficiency syndrome， as the core pathogenesis of CHF， persists throughout the disease course. Insufficiency of heart-Yang leads to weakened warming and propelling functions， resulting in the accumulation of phlegm-fluid， blood stasis， and dampness. This eventually causes Qi stagnation with phlegm obstruction and blood stasis with water retention， forming a vicious cycle that exacerbates disease progression. According to the theory of reinforcing Yang， the clinical experience of the traditional Chinese medicine （TCM） master Tang Zuxuan in treating CHF with heart-Yang deficiency syndrome， and achievements from molecular biological studies， this study innovatively proposes an integrated research framework of "TCM syndrome differentiation and staging-mitochondrial metabolism mechanisms-intervention with Yang-reinforcing prescriptions" which is characterized by the integration of traditional Chinese and Western medicine. Heart-Yang deficiency syndrome is classified into mild （Stage Ⅰ-Ⅱ）， severe （Stage Ⅲ）， and critical （Stage Ⅳ） stages. The study elucidates the precise correlations between the pathogenesis of each stage and mitochondrial metabolism disorders from theoretical， pathophysiological， and therapeutic perspectives. The mild stage is characterized by impaired biogenesis and substrate-utilization imbalance， corresponding to heart-Yang deficiency and phlegm-fluid aggregation. Linggui Zhugantang and similar prescriptions can significantly improve the expression of peroxisome proliferator-activated receptor gamma co-activator-1α（PGC-1α）/silent information regulator 2 homolog 1 （SIRT1） and ATPase activity. The severe stage centers on oxidative stress and structural damage， reflecting Yang deficiency with water overflow and phlegm-blood stasis intermingling. At this stage， Zhenwu Tang and Qiangxin Tang can effectively mitigate oxidative stress damage， increase adenosine triphosphate （ATP） content， and repair mitochondrial structure. The critical stage arises from calcium overload and mitochondrial disintegration， leading to the collapse of Yin-Yang equilibrium. At this stage， Yang-restoring and crisis-resolving prescriptions such as Fuling Sini Tang and Qili Qiangxin capsules can inhibit abnormal opening of the mitochondrial permeability transition pore （MPTP）， reduce cardiomyocyte apoptosis rate， and protect mitochondrial function. By summarizing the characteristics of mitochondrial energy metabolism disorders at different stages of CHF， this study explores the application of the theory of reinforcing Yang in treating heart-Yang deficiency syndrome and provides new insights for the clinical diagnosis and treatment of CHF.

OBJECTIVE: To explore the clinical effect of personalized puncture planning before surgery using Picture Archiving and Communication System (PACS) in the treatment of osteoporotic vertebral compression fractures in the elderly. METHODS: A total of 69 elderly patients with osteoporotic vertebral compression fractures treated by percutaneous vertebroplasty from January 2020 20 to December 2021 with more than 1 year of follow-up were analyzed retrospectively. Thirty-four patients were individualized for preoperative planning with PACS software (observation group), including 8 males and 26 females, with a mean age of (73.30±7.96) years old;and 35 patients were treated with conventional treatment (control group), including 7 males and 28 females, with a mean age of (77.30±7.84) years old. The operation time, the amount of cement injection, cement leakage rate, bone watertight diffusion and refracture within 1 year between two groups were observed and compared. The Cobb's angle, low back pain visual analogue scale(VAS) and the modified Oswsetry disability indexes(ODI) before surgery and 1 day, 1 year after surgery were compared between two groups. RESULTS: Both groups successfully completed the operation without serious surgical complications, 2 refractures occurred in the control group. The operation time in the observation group was(41.9±11.9) min, which was less than that in the control group (52.7±13.6) min (P<0.05). There was no significant difference in the cement injection volume between two groups (P>0.05). Two cases of cement leakage in the observation group was less than 8 in the control group (P<0.05). The bone cement distribution index of two groups had significant difference(P<0.05). There were no significant differences between two groups in Cobb's angle of the injured vertebras and ODI before and 1 day after surgery(P>0.05), however, the comparative differences were statistically significant at 1 year after surgery(P<0.05). There was no significant difference in the VAS between two groups at each time period(P>0.05). CONCLUSION Using the PACS software to plan personalized puncture scheme can reduce the operation time, reduce the cement leakage rate, improve the diffusion of bone cement and longer maintain the postoperative form of vertebral body and the functional state of patients' lumbar back.
Humans ; Male ; Female ; Aged ; Vertebroplasty/methods* ; Fractures, Compression/diagnostic imaging* ; Spinal Fractures/diagnostic imaging* ; Osteoporotic Fractures/diagnostic imaging* ; Aged, 80 and over ; Retrospective Studies ; Radiology Information Systems

With the rapid development of deep learning(DL)technology,its potential applications in the medical field have become increasingly prominent.As a refractory disease,osteonecrosis of the femoral head(ONFH)has certain limitations in traditional diagnostic and therapeutic approaches.The application of DL technology is expected to overcome these limitations and improve diagnosis and treatment outcomes.At present,the applications of DL models-including enhancing image clarity,improving diagnostic accuracy and efficiency,conducting prognostic evaluations,optimizing preoperative planning,assisting intraoperative imaging,and customizing personalized treatment plans-have fully demonstrated their tremendous potential in the diagnosis and treatment of ONFH.This review summarizes the current application status of DL in ONFH diagnosis and treatment,aiming to provide references and insights for future related research.

OBJECTIVE: To investigate a new noninvasive diagnostic model for nonalcoholic fatty liver disease (NAFLD) based on features of tongue images. METHODS: Healthy controls and volunteers confirmed to have NAFLD by liver ultrasound were recruited from China-Japan Friendship Hospital between September 2018 and May 2019, then the anthropometric indexes and sampled tongue images were measured. The tongue images were labeled by features, based on a brief protocol, without knowing any other clinical data, after a series of corrections and data cleaning. The algorithm was trained on images using labels and several anthropometric indexes for inputs, utilizing machine learning technology. Finally, a logistic regression algorithm and a decision tree model were constructed as 2 diagnostic models for NAFLD. RESULTS: A total of 720 subjects were enrolled in this study, including 432 patients with NAFLD and 288 healthy volunteers. Of them, 482 were randomly allocated into the training set and 238 into the validation set. The diagnostic model based on logistic regression exhibited excellent performance: in validation set, it achieved an accuracy of 86.98%, sensitivity of 91.43%, and specificity of 80.61%; with an area under the curve (AUC) of 0.93 [95% confidence interval (CI) 0.68-0.98]. The decision tree model achieved an accuracy of 81.09%, sensitivity of 91.43%, and specificity of 66.33%; with an AUC of 0.89 (95% CI 0.66-0.92) in validation set. CONCLUSIONS The features of tongue images were associated with NAFLD. Both the 2 diagnostic models, which would be convenient, noninvasive, lightweight, rapid, and inexpensive technical references for early screening, can accurately distinguish NAFLD and are worth further study.
Humans ; Non-alcoholic Fatty Liver Disease/diagnostic imaging* ; Ultrasonography ; Anthropometry ; Algorithms ; China

Background With the events reporting on odors in drinking water, odorous substances in water have become a hot topic in water quality analysis. Due to the low concentration of the odor threshold and the complexity of the odor components in water, it is difficult to make accurate qualitative and quantitative analysis. So it is necessary to develop a highly sensitive and accurate qualitative and quantitative analysis method. Objective To establish a method for simultaneous determination of four odorous substances, including dimethyl disulfide, dimethyl trisulfide, 2-methylisoborneol, and geosmin in water by purge and trap-gas chromatography-tandem mass spectrometry. Methods A certain amount of water sample was stored in the sample vial of a purge and trapinstrument. Through nitrogen purging, the odorous substances in water were purged out and enriched in the trap. Subsequently, the odorous substances were rapidly released at high temperatures after heating the trap, and then carried by carrier gas into gas chromatograph. After temperature programming, the substances were separated by an Agilent DB-624 capillary chromatographic column (30 m×0.25 mm, 1.4 μm) and determined by tandem mass spectrometry in multiple reaction monitoring modes, with internal standard method for quantification. The current project optimized purge time, sodium chloride concentration in water sample, desorption temperature, desorption time, and split ratio during the experimental process. Under the optimized experimental conditions, the standard curve, detection limit, and quantification limit were validated. Recovery tests with spiking concentrations of 5.0, 10.0, 30.0, 80.0 ng·L⁻¹ and precision tests were conducted on water samples. Finally, the established method was applied to detect odorous substances in source water, finished water, and pipeline water in Deqing County of Huzhou City. Result After the optimization, the purge time was 20 min, the desorption temperature was 280 ℃, the desorption time was 2 min, the split ratio was 10∶1, and no sodium chloride was added during the purge process. Under the optimized experimental conditions, the calibration curves for the four odorous substances showed an excellent linearity in the range of 1 to 100 ng·L⁻¹ (R>0.999), with 0.3 ng·L⁻¹ limit of detection and 1.0 ng·L⁻¹ limit of quantitation. The average recoveries were from 85.5% to 102.4% and relative standard deviations (RSD) from 1.6% to 5.2%. After applying this method to detect local source water, finished water, and pipeline water, it was found that the positive rates of 2-methylisoborneo, and geosmin were relatively high, while the positive rates of dimethyl disulfide and dimethyl trisulfide were relatively low. Only one sample of source water tested positive for dimethyl disulfide, and all samples were negative for dimethyl trisulfide. Conclusion Combined with the superiority of purge and trap and tandem mass spectrometry, the method has the advantages of easy to perform, strong anti-interference ability, good accuracy and precision, which meet the limit requirements of the four odorous substances in the expanded indices and reference indices of Hygienic standards for drinking water (GB 5749-2022). It also provides technical support for water quality assessment and analysis of odorous substances.

Objective:pH low insertion peptide (pHLIP)-variant 7 (var7)-fluorescein isothiocyanate (FITC) was used to explore an accurate imaging tool that targeted burn wounds to better perform burn debridement.Methods:Twelve rat models of burn wound were established and pHLIP-var7-FITC with different concentrations (0.5, 1.5 and 2.0 mg/ml) were injected from the rat tail vein for in vivo fluorescence imaging. By determining the concentration of fluorescent conjugates to the burn wound, the scope of wound injury necrosis was judged by combining pathological sections, and its residue and toxicity in important organs such as heart, liver, kidneys, and brain were detected. The Kruskal-Wallis rank sum test, Bonferroni correction method and one-way analysis of variance were used for data analysis. Results:Within 24 h, the fluorescence photons per unit area of the burn wound in the group of 0.5 mg/ml, 1.5 mg/ml and 2.0 mg/ml were 1.49(1.31, 1.65), 2.46(1.88, 2.68), 2.77 (1.94, 3.10)×10 7 p·s -1·cm -2·Sr -1, with significant differences in the overall distribution of fluorescence photons ( H=73.55, P<0.001). The fluorescence intensity was stronger in the group with higher concentration, but with no significant difference in the number of fluorescence photons between the group of 1.5 mg/ml and 2.0 mg/ml ( P=0.263, Bonferroni correction method). At 14 time points (0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 5.0, 6.0, 7.0, 8.0, 12, 24 h), there was no significant difference in the overall mean of fluorescence photons ( F=1.04, P=0.419), and the tissue with burn necrosis seen in tissue sections was highly consistent with the fluorescence imaging region. There was no obvious fluorescence residue in the heart, liver, kidney and brain sections. Conclusion:In superficial second-degree burn tissue, pHLIP-var7-FITC can accurately target and gather on the burn wound within 24 h, showing a clear boundary between burn tissue and normal tissue, which can assist clinical surgical debridement to determine the extent of injury.

Objective:This study aims to explore the synergistic effects of DIP and other medical insurance supply-side policies.Method:City A that has piloted DIP reform was set as the treatment group,and City B without reform was set as the control group.A total of 1 120 public medical institution samples from 2019 to 2022 were collected.The total medical expenses during hospitalization and some structural expenses were analyzed using DID method.Result:DIP had a significant inhibitory effect on the medical expenses,and the expenses of checkups and examinations during hospitalization in city A,but had no impact on the drug and the material expenses during hospitalization.Conclusion:DIP played a significant cost control role and effectively controlled the total medical expenses during hospitalization.The synergistic effects of price adjustment of medical services policy and national centralized drug/material procurement policy on cost control were insufficient.DIP synergized with other supply-side policies to promote rational medical cost structure.It is suggested that medical insurance departments should focus on the synergistic effects of medical insurance supply-side policies to jointly improve the efficiency of medical insurance fund utilization.

Objective:Analyze the medical reimbursement rate and influencing factors under the DIP payment method to refine the DIP payment policy,promote the optimization of internal operations in medical institutions,and ensure reasonable compensation.Methods:Based on the 2022 DIP fund settlement data from 196 medical institutions in City A,the study used multiple linear regression to analyze the factors affecting medical reimbursement rate and conducted a heterogeneity analysis for medical institutions of different levels.Results:The medical reimbursement rate for medical institutions in City A in 2022 was 103.32%.Medical institutions with lower CMI standardized inpatient costs,lower rates of deviation cases,tertiary care institutions,lower proportion of level-four surgeries,and lower ratios of resident to employee medical insurance cases have higher medical reimbursement rate(P<0.05).Heterogeneity analysis reveals that therates of deviation cases,the proportion of primary care diseases,the ratio of resident to employee medical insurance cases,and the low-standard admission rate have different impacts on medical institutions of different levels.Conclusion:Medical insurance departments should improve policies for primary care diseases,dynamically adjust disease catalogs and payment standards,optimize funding levels and institutional coefficients,and increase penalties for violations to ensure effective use of funds.Medical institutions need to strengthen their understanding of policies,focus on refined internal management,promote standardized and rational diagnosis and treatment through performance assessment transformation,and leverage their own advantages in medical services to reasonably increase the medical reimbursement rate.

Modern Chinese medicine studies have confirmed that the interaction between traditional Chinese medicine(TCM)and intestinal flora is the key to the treatment of diseases with tradi-tional Chinese medicine.This interplay includes such activities as:traditional Chinese medicine can be metabolized by intestinal flora into effective components with different biological activities from its precursors;TCM chemicals improve the composition of gut microbiota,consequently ameliorating its dysfunction as well as associated pathological conditions;and gut microbiota mediate the interactions between the multiple chemicals in TCM.There-fore,it becomes an important way to understand the modern sci-entific connotation of traditional Chinese medicine theory to study the pharmacological mechanism of the efficacy of traditional Chi-nese medicine by targeting Gut microbiota.