In order to provide a reference basis for the development of relevant compound preparations， this article takes a comprehensive analysis of the usage and dosage of famous classical formulas in Han dynasty from various perspectives， and gives corresponding countermeasures on this basis. Through the comprehensive analysis of the classification and statistics of Zhongjing's medication characteristics， decoction methods， administration and dosage， and combining conversion methods of weights and measures by ancient medical practitioners， along with the dosage and administration of the listed Han dynasty famous classical formulas， it was found that the "Jiangxi method" served as a general guideline for administration according to Zhongjing's original text. This method allowed for flexible dosing based on the conversion of the ancient measurements to modern equivalents［13.8 g per Liang（两）］， ensuring the safe and effective medication of these formulas. After combing， it is found that although the dosage of single medicine is large in famous classical formulas from Han dynasty， the administration is flexible. The crude drug amount per administration serves as the foundational dose， with the frequency of administration adjusted flexibly according to the condition. This dosing approach becomes the key for the rational development of compound formulations of famous classical formulas. Based on the conclusions of the study， it is recommended that when developing compound formulations of famous classical formulas in Han dynasty， the original administration method and dosage should be respected. The original crude drug amount per administration should be considered as the daily foundational dose， with the frequency of administration described within a range（1 to N times per day， where N is the maximum number of administrations as per the original text）. The specific frequency of administration can be adjusted flexibly by clinical practitioners based on the individual condition. This approach should also be adopted in toxicological studies， where the dosage per administration serves as the basis for toxicity research， and the toxicity profile at the maximum administration frequency should be observed， providing guidance on the clinical safety range. Corresponding drug labels should provide information within a range to indicate toxicological risk intervals.

Objective To explore the relationship between the early stage HbA1c level and two-year prognosis in the patients with first time onset of acute ischemic stroke(AIS).Methods A total of 513 inpa-tients with first time AIS in this hospital during 2018-2019 were selected as the study subjects.The clinical data,biochemical indicators and discharge situation were collected.The multivariate logistic regression was used to analyze the influencing factors of adverse reactions outcome within 2 years.The Kaplan-Meier survival curve was used to analyze the all-cause mortality and stroke recurrence situation within 2 years.Results The sex,age,TOAST type,,diseases history such as diabetes,arrhythmia and coronary heart disease,medication history such as antidiabetic drugs,lipid-lowering drugs and anticoagulants,BMI,Urea,Crea,ALT,SBP,fasting blood glucose(FBG),total cholesterol(TC),triglyceride(TG),HDL-C,NIHSS score at admission,discharge mode,NIHSS score at discharge,hospitalization duration and hospitalization costs had statistical difference a-mong the patients with different HbA1c levels(P＜0.05).The multivariate logistic regression analysis showed that HbA1c＞7.4％was the independent risk factor for adverse outcome within 2 years(OR=4.470,95％CI:1.105-18.087,P=0.036).The Kaplan-Meier survival curve analysis showed that the survival time within 2 years had statistical difference among the patients with different HbA1c levels(P=0.009).The higher the HbA1c level,the shorter the survival time.Conclusion The high HbA1c level has the influence on the stroke recurrence and all-cause mortality within 2 years in the patients with first onset occurrence of AIS.

Objective:To establish and validate the prediction model for bone marrow metastasis (BMM) in malignant tumors by screening out laboratory multiparameters.Methods:This case-control study collected 444 cases of malignant tumor patients who were hospitalized in the First Hospital of Jilin University from March 2018 to March 2024, including 243 cases for model establishment set and 201 cases for model validation set. The model establishment set was divided into BMM positive group (81 cases) and BMM negative group (162 cases), and the model validation set was divided into positive group (67 cases) and a negative group (134 cases). We collected patients′ clinical information such as gender, age, clinical diagnosis, and results of 47 laboratory tests including routine blood analysis, coagulation, liver function, tumor markers, potassium, sodium, chloride, and calcium ion tests, bone marrow morphology, and bone marrow biopsy. BMM was taken as the outcome event, differencial variables were analyzed using inter group comparisons, the correlation among parameters was analyzed using Pearson correlation analysis, the risk factors for BMM were analyzed using multivariate conditional logistic regression analysis, to establish logistic model, followed by efficiency evaluation on BMM predictive model using receiver operating characteristic (ROC) curves.Results:In the model establishment set, Pearson correlation analysis of 28 parameters that differed between the BMM positive and negative groups revealed that the correlation coefficients of 17 parameters, including mean platelet volume (MPV), hematocrit (HCT), hemoglobin (HGB), and prothrombin time (PT), were no more than 0.6 ( P<0.05). Further multivariate conditional logistic regression analysis demonstrated that MPV, HGB, HCT, PT, red cell distribution width (RDW), platelet count (PLT), alkaline phosphatase (ALP), chloride (Cl -), and mean erythrocyte hemoglobin concentration (MCHC) were the risk factors of BMM occurence in malignancy [MPV ( OR=9.929, 95% CI 2.688-71.335), HCT ( OR=8.232, 95% CI 6.223-9.841), HGB ( OR=4.300, 95% CI 1.947-16.577), PT ( OR=3.738, 95% CI 1.359-11.666), RDW ( OR=1.995, 95% CI 1.275-3.807), ALP ( OR=1.025, 95% CI 1.012-1.045), PLT ( OR=1.014, 95% CI 1.002-1.031), MCHC ( OR=0.724, 95% CI 0.523-0.880) and Cl -( OR=0.703, 95% CI 0.472-0.967)]. In the model establishment set, combiation of risk factors provided an AUC of 0.943 (95% CI 0.898-0.987, P<0.001), a sensitivity of 86.3%, and a specificity of 89.2% for BMM prediction. In the model validation set, the AUC was 0.924 (95% CI 0.854-0.960, P<0.001), with a sensitivity and specificity of 86.7% and 83.8%, respectively. Conclusion:This study built and validated a multiple-parameter model for BMM, which may facilitate the timely detection of BMM and provide reference for decision making of bone marrow aspiration.

Purpose: This study explored the association of the elasticity modulus and shear wave velocity (SWV) of the tibialis anterior muscle, as measured by two-dimensional shear wave elastography (2D-SWE), with the intracompartmental pressure (ICP) determined using the Whitesides method in a New Zealand rabbit model of acute compartment syndrome (ACS). Additionally, it evaluated the viability of 2D-SWE as a noninvasive, quantitative tool for the early detection of ACS. Methods: An ACS model was established through direct external compression by applying pressure bandaging to the lower legs of 15 New Zealand rabbits using neonatal blood pressure cuffs. Another five animals represented a non-modeled control group. To measure the elasticity modulus and SWV of the tibialis anterior muscles, 2D-SWE was employed. Blood oxygen saturation, serum creatine kinase (CK), and myoglobin levels were monitored. Subsequently, the anterior tibial compartment was dissected, and the tibialis anterior was removed for hematoxylin and eosin staining to assess muscle injury. Results: The elasticity modulus and SWV of the tibialis anterior muscle increased with compression duration, as did serum CK and myoglobin levels. ICP was strongly positively correlated with these parameters, particularly mean velocity (r=0.942, P<0.001) and CK (r=0.942, P<0.001). Blood oxygen saturation was negatively correlated with ICP (r=-0.887, P<0.001). Histological analysis indicated progressive muscle cell swelling over time, with damage transitioning from reversible to irreversible and culminating in necrosis. Conclusion In a rabbit ACS model, ICP was strongly positively correlated with muscle elasticity modulus/SWV. Consequently, 2D-SWE may represent a novel tool for assessing early-phase ACS.

Purpose: This study explored the association of the elasticity modulus and shear wave velocity (SWV) of the tibialis anterior muscle, as measured by two-dimensional shear wave elastography (2D-SWE), with the intracompartmental pressure (ICP) determined using the Whitesides method in a New Zealand rabbit model of acute compartment syndrome (ACS). Additionally, it evaluated the viability of 2D-SWE as a noninvasive, quantitative tool for the early detection of ACS. Methods: An ACS model was established through direct external compression by applying pressure bandaging to the lower legs of 15 New Zealand rabbits using neonatal blood pressure cuffs. Another five animals represented a non-modeled control group. To measure the elasticity modulus and SWV of the tibialis anterior muscles, 2D-SWE was employed. Blood oxygen saturation, serum creatine kinase (CK), and myoglobin levels were monitored. Subsequently, the anterior tibial compartment was dissected, and the tibialis anterior was removed for hematoxylin and eosin staining to assess muscle injury. Results: The elasticity modulus and SWV of the tibialis anterior muscle increased with compression duration, as did serum CK and myoglobin levels. ICP was strongly positively correlated with these parameters, particularly mean velocity (r=0.942, P<0.001) and CK (r=0.942, P<0.001). Blood oxygen saturation was negatively correlated with ICP (r=-0.887, P<0.001). Histological analysis indicated progressive muscle cell swelling over time, with damage transitioning from reversible to irreversible and culminating in necrosis. Conclusion In a rabbit ACS model, ICP was strongly positively correlated with muscle elasticity modulus/SWV. Consequently, 2D-SWE may represent a novel tool for assessing early-phase ACS.

Purpose: This study explored the association of the elasticity modulus and shear wave velocity (SWV) of the tibialis anterior muscle, as measured by two-dimensional shear wave elastography (2D-SWE), with the intracompartmental pressure (ICP) determined using the Whitesides method in a New Zealand rabbit model of acute compartment syndrome (ACS). Additionally, it evaluated the viability of 2D-SWE as a noninvasive, quantitative tool for the early detection of ACS. Methods: An ACS model was established through direct external compression by applying pressure bandaging to the lower legs of 15 New Zealand rabbits using neonatal blood pressure cuffs. Another five animals represented a non-modeled control group. To measure the elasticity modulus and SWV of the tibialis anterior muscles, 2D-SWE was employed. Blood oxygen saturation, serum creatine kinase (CK), and myoglobin levels were monitored. Subsequently, the anterior tibial compartment was dissected, and the tibialis anterior was removed for hematoxylin and eosin staining to assess muscle injury. Results: The elasticity modulus and SWV of the tibialis anterior muscle increased with compression duration, as did serum CK and myoglobin levels. ICP was strongly positively correlated with these parameters, particularly mean velocity (r=0.942, P<0.001) and CK (r=0.942, P<0.001). Blood oxygen saturation was negatively correlated with ICP (r=-0.887, P<0.001). Histological analysis indicated progressive muscle cell swelling over time, with damage transitioning from reversible to irreversible and culminating in necrosis. Conclusion In a rabbit ACS model, ICP was strongly positively correlated with muscle elasticity modulus/SWV. Consequently, 2D-SWE may represent a novel tool for assessing early-phase ACS.

Purpose: This study explored the association of the elasticity modulus and shear wave velocity (SWV) of the tibialis anterior muscle, as measured by two-dimensional shear wave elastography (2D-SWE), with the intracompartmental pressure (ICP) determined using the Whitesides method in a New Zealand rabbit model of acute compartment syndrome (ACS). Additionally, it evaluated the viability of 2D-SWE as a noninvasive, quantitative tool for the early detection of ACS. Methods: An ACS model was established through direct external compression by applying pressure bandaging to the lower legs of 15 New Zealand rabbits using neonatal blood pressure cuffs. Another five animals represented a non-modeled control group. To measure the elasticity modulus and SWV of the tibialis anterior muscles, 2D-SWE was employed. Blood oxygen saturation, serum creatine kinase (CK), and myoglobin levels were monitored. Subsequently, the anterior tibial compartment was dissected, and the tibialis anterior was removed for hematoxylin and eosin staining to assess muscle injury. Results: The elasticity modulus and SWV of the tibialis anterior muscle increased with compression duration, as did serum CK and myoglobin levels. ICP was strongly positively correlated with these parameters, particularly mean velocity (r=0.942, P<0.001) and CK (r=0.942, P<0.001). Blood oxygen saturation was negatively correlated with ICP (r=-0.887, P<0.001). Histological analysis indicated progressive muscle cell swelling over time, with damage transitioning from reversible to irreversible and culminating in necrosis. Conclusion In a rabbit ACS model, ICP was strongly positively correlated with muscle elasticity modulus/SWV. Consequently, 2D-SWE may represent a novel tool for assessing early-phase ACS.

Purpose: This study explored the association of the elasticity modulus and shear wave velocity (SWV) of the tibialis anterior muscle, as measured by two-dimensional shear wave elastography (2D-SWE), with the intracompartmental pressure (ICP) determined using the Whitesides method in a New Zealand rabbit model of acute compartment syndrome (ACS). Additionally, it evaluated the viability of 2D-SWE as a noninvasive, quantitative tool for the early detection of ACS. Methods: An ACS model was established through direct external compression by applying pressure bandaging to the lower legs of 15 New Zealand rabbits using neonatal blood pressure cuffs. Another five animals represented a non-modeled control group. To measure the elasticity modulus and SWV of the tibialis anterior muscles, 2D-SWE was employed. Blood oxygen saturation, serum creatine kinase (CK), and myoglobin levels were monitored. Subsequently, the anterior tibial compartment was dissected, and the tibialis anterior was removed for hematoxylin and eosin staining to assess muscle injury. Results: The elasticity modulus and SWV of the tibialis anterior muscle increased with compression duration, as did serum CK and myoglobin levels. ICP was strongly positively correlated with these parameters, particularly mean velocity (r=0.942, P<0.001) and CK (r=0.942, P<0.001). Blood oxygen saturation was negatively correlated with ICP (r=-0.887, P<0.001). Histological analysis indicated progressive muscle cell swelling over time, with damage transitioning from reversible to irreversible and culminating in necrosis. Conclusion In a rabbit ACS model, ICP was strongly positively correlated with muscle elasticity modulus/SWV. Consequently, 2D-SWE may represent a novel tool for assessing early-phase ACS.

Incontinence-associated dermatitis is one of the common complications in critically ill patients.This paper reviews the research progress of risk prediction models for incontinence-associated dermatitis in critically ill patients,introduces and compares the characteristics and application effects of different risk prediction models.The purpose is to provide ideas for constructing a localized risk prediction model and provide evidence for medical staff to identify risk factors of incontinence-associated dermatitis at an early stage and take preventive measures.

Objective To analyze the current status of cognition and satisfaction of medical staff in public hospitals in Hangzhou towards medical prevention integration,in order to provide reference and reference for promoting the development of medical prevention integration.Methods A questionnaire survey was conducted on 421 medical staff from three public hospitals in Hangzhou using stratified random sampling.Results Only 29.5%of medical staff expressed a strong or relatively good under-standing of medical prevention integration work;The overall satisfaction score of medical staff with medical prevention integration is(3.54±0.74).The results of logistic regression analysis show that age,professional title,education level,and monthly in-come are important factors affecting the satisfaction of medical staff with medical prevention integration(P＜0.05).Conclusion The awareness and satisfaction of medical staff in public hospitals in Hangzhou regarding the integration of medical and preven-tive measures need to be strengthened.It is recommended to improve basic construction,optimize health policies,promote infor-mation integration,and strengthen work cohesion.