1.Construction of A Conceptual Framework for the Integration of Traditional Chinese and Western Medicine in Evolutionary Syndrome Differentiation and Treatment Across Full-cycle of Parkinson's Disease
Yu WANG ; Jianing MEI ; Hongping ZHAO ; Yunzhe TANG ; Zijun WEI ; Qinliang TAO ; Xueyi HAN ; Jiyuan HU ; Yunyun ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):270-279
Parkinson's disease (PD) is a complex neurodegenerative disease involving multiple systems and neurotransmitters. Due to the high clinical heterogeneity of PD,it is urgent to establish a comprehensive and long-term traditional Chinese medicine (TCM) management model. In this paper,the conceptual framework of full-cycle management of PD is preliminarily constructed:based on the evolution of the pathophysiological mechanisms of protein deposition and neurotransmitter disorder in PD,the three-stage syndrome characteristics of the prodromal stage (predominant healthy Qi with subtle pathogenic factors),the early clinical stage (declining healthy Qi with growing pathogenic factors) and the middle and late stages (overwhelming pathogenic factors with deficient healthy Qi) are longitudinally described. Through the syndrome differentiation of visceral manifestations,the etiology and pathogenesis of PD motor and non-motor symptoms were comprehensively analyzed,while the matching treatment methods and prescriptions were inferred,and the modular scheme of the combining main symptoms,accompanying symptoms and secondary symptoms was proposed. The conceptual gap of TCM regarding motor complications ('variable syndrome') and PD-related hyperpyrexia syndrome ('critical syndrome') was explained. This framework reflects the characteristics of combination of disease and syndrome and overall constant motion,and provides new theories and research ideas for individualized and whole-process management of PD in TCM.
2.Construction of A Conceptual Framework for the Integration of Traditional Chinese and Western Medicine in Evolutionary Syndrome Differentiation and Treatment Across Full-cycle of Parkinson's Disease
Yu WANG ; Jianing MEI ; Hongping ZHAO ; Yunzhe TANG ; Zijun WEI ; Qinliang TAO ; Xueyi HAN ; Jiyuan HU ; Yunyun ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):270-279
Parkinson's disease (PD) is a complex neurodegenerative disease involving multiple systems and neurotransmitters. Due to the high clinical heterogeneity of PD,it is urgent to establish a comprehensive and long-term traditional Chinese medicine (TCM) management model. In this paper,the conceptual framework of full-cycle management of PD is preliminarily constructed:based on the evolution of the pathophysiological mechanisms of protein deposition and neurotransmitter disorder in PD,the three-stage syndrome characteristics of the prodromal stage (predominant healthy Qi with subtle pathogenic factors),the early clinical stage (declining healthy Qi with growing pathogenic factors) and the middle and late stages (overwhelming pathogenic factors with deficient healthy Qi) are longitudinally described. Through the syndrome differentiation of visceral manifestations,the etiology and pathogenesis of PD motor and non-motor symptoms were comprehensively analyzed,while the matching treatment methods and prescriptions were inferred,and the modular scheme of the combining main symptoms,accompanying symptoms and secondary symptoms was proposed. The conceptual gap of TCM regarding motor complications ('variable syndrome') and PD-related hyperpyrexia syndrome ('critical syndrome') was explained. This framework reflects the characteristics of combination of disease and syndrome and overall constant motion,and provides new theories and research ideas for individualized and whole-process management of PD in TCM.
3.Expert consensus on the clinical application of parenteral direct thrombin inhibitors in special populations
Xin YAO ; Yuan BIAN ; Lizhu HAN ; Qinan YIN ; Yang LEI ; Zimeng WAN ; Luyao HUANG ; Danjie ZHAO ; Yu YAN ; Qin LI ; Baorong HU
China Pharmacy 2026;37(8):965-975
OBJECTIVE To form an expert consensus addressing clinical issues regarding the use of parenteral direct thrombin inhibitors (DTIs) in special populations. METHODS Led by the Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital(the Affiliated Hospital of UESTC), a multidisciplinary working group was formed comprising experts from multiple fields, including clinical pharmacy, cardiac surgery, obstetrics, pediatrics and evidence-based medicine. Through literature review and the Delphi method, clinical questions regarding the efficacy and safety of parenteral DTIs used in special populations were identified. A structured design was adopted using the “Population-Intervention-Comparison-Outcome” (PICO) framework;systematic searches were conducted in CJFD, PubMed, Embase and other databases. Relevant evidence from randomized controlled trials,cohort studies and systematic reviews were included and synthesized. Evidence quality was assessed using the Grading of Recommendations Assessment,Development and Evaluation (GRADE) approach, and recommendations were formulated through three rounds of Delphi surveys and expert consensus meetings. RESULTS &CONCLUSIONS Seven clinical questions were ultimately selected (with a consensus rate exceeding 90%), resulting in the formulation of seven recommendations on the use of parenteral DTIs in special populations, including children, pregnant women, patients with hepatic or renal impairment, patients with mesenteric venous thrombosis, and individuals with thrombophilia. These recommendations clarify the preferred agents, dosing ranges, monitoring parameters, and safety management strategies for parenteral DTIs in these special populations. This expert consensus, which is formulated based on the best available evidence, provides evidence-based guidance for standardized and individualized use of parenteral DTIs in special populations.
4.Establishment and validation of a model for femoral head necrosis after internal fixation of femoral neck fracture using logistic regression and SHAP analysis
Long LIAO ; Zepeng ZHAO ; Zongyuan LI ; Qinglong YU ; Tao ZHANG ; Jinyuan TANG ; Nan YE ; Han XU ; Bo SHI
Chinese Journal of Tissue Engineering Research 2026;30(3):626-633
BACKGROUND:The most common complication of traumatic femoral neck fractures after internal fixation is femoral head necrosis.Currently,many studies have reported on the risk factors that affect the occurrence and development of postoperative femoral head necrosis,but there is still a lack of tools to predict the risk of femoral head necrosis after internal fixation of femoral neck fractures.OBJECTIVE:To develop a predictive model that estimates the risk of femoral head necrosis shortly after patients with femoral neck fractures receive cannulated screw internal fixation.METHODS:A retrospective analysis reviewed clinical records of 172 patients who underwent cannulated screw internal fixation for femoral neck fractures at Department of Orthopedics of Mianyang Central Hospital from January 2013 to June 2023.Patients were categorized into two groups based on the presence or absence of femoral head necrosis within one year post-operation:the necrosis group and the non-necrosis group.Univariate analysis,Lasso regression,and multivariate Logistic regression techniques were employed to identify the determinants of femoral head necrosis.A nomogram prediction model was constructed using R language's"rms"package,version 4.0.The receiver operating characteristic curve was used to evaluate the discriminatory ability of the model.The Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model,and the decision curve analysis was used to determine its clinical application benefits.Internal validation of the study was conducted using the Bootstrap method,involving 1 000 repeated samplings.To delve deeper into the primary factors influencing femoral head necrosis post-internal fixation of the femoral neck,this paper employed the SHAP method for data set analysis.RESULTS AND CONCLUSION:(1)The risk factors leading to femoral head necrosis in the short term after cannulated screw fixation of femoral neck fractures include:smoking,diabetes,Garden classification,fracture line location,reduction quality,age,and operation time.(2)The prediction model demonstrated robust performance,evidenced by an area under the curve of 0.940(95%Confidence Interval:0.903 to 0.977),indicating a high level of prediction accuracy.The model achieved a sensitivity of 90.2%and a specificity of 87.6%,indicating that its diagnostic performance was stable.The Hosmer-Lemeshow goodness-of-fit test yielded a chi-square value of 6.593 with a P-value of 0.581,confirming that the model's predictions closely align with the observed outcomes.(3)The calibration curve of the model also performed well,and its overall trend was very close to the ideal curve,further proving the high accuracy of the model.(4)The internal validation was carried out by the Bootstrap method with 1 000 repeated samplings,and the area under the curve of the model internal validation was still as high as 0.939,proving that the model had good stability.(5)Through the decision curve,it is found that within the probability threshold range of 1%to 92%,the model can obtain the maximum net benefit value.(6)The SHAP analysis results show that among the risk factors analyzed in this study,the location of the fracture line serves as the most significant predictor of femoral head necrosis following internal fixation with cannulated screws in femoral neck fractures,and subcapital fractures are extremely prone to femoral head necrosis after surgery.(7)It is concluded that the validated prediction model demonstrates strong discriminative power and reliability,offering practical clinical utility.It serves as a useful reference tool for short-term risk assessment of femoral head necrosis following internal fixation of femoral neck fractures.
5.Establishment and validation of a model for femoral head necrosis after internal fixation of femoral neck fracture using logistic regression and SHAP analysis
Long LIAO ; Zepeng ZHAO ; Zongyuan LI ; Qinglong YU ; Tao ZHANG ; Jinyuan TANG ; Nan YE ; Han XU ; Bo SHI
Chinese Journal of Tissue Engineering Research 2026;30(3):626-633
BACKGROUND:The most common complication of traumatic femoral neck fractures after internal fixation is femoral head necrosis.Currently,many studies have reported on the risk factors that affect the occurrence and development of postoperative femoral head necrosis,but there is still a lack of tools to predict the risk of femoral head necrosis after internal fixation of femoral neck fractures.OBJECTIVE:To develop a predictive model that estimates the risk of femoral head necrosis shortly after patients with femoral neck fractures receive cannulated screw internal fixation.METHODS:A retrospective analysis reviewed clinical records of 172 patients who underwent cannulated screw internal fixation for femoral neck fractures at Department of Orthopedics of Mianyang Central Hospital from January 2013 to June 2023.Patients were categorized into two groups based on the presence or absence of femoral head necrosis within one year post-operation:the necrosis group and the non-necrosis group.Univariate analysis,Lasso regression,and multivariate Logistic regression techniques were employed to identify the determinants of femoral head necrosis.A nomogram prediction model was constructed using R language's"rms"package,version 4.0.The receiver operating characteristic curve was used to evaluate the discriminatory ability of the model.The Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model,and the decision curve analysis was used to determine its clinical application benefits.Internal validation of the study was conducted using the Bootstrap method,involving 1 000 repeated samplings.To delve deeper into the primary factors influencing femoral head necrosis post-internal fixation of the femoral neck,this paper employed the SHAP method for data set analysis.RESULTS AND CONCLUSION:(1)The risk factors leading to femoral head necrosis in the short term after cannulated screw fixation of femoral neck fractures include:smoking,diabetes,Garden classification,fracture line location,reduction quality,age,and operation time.(2)The prediction model demonstrated robust performance,evidenced by an area under the curve of 0.940(95%Confidence Interval:0.903 to 0.977),indicating a high level of prediction accuracy.The model achieved a sensitivity of 90.2%and a specificity of 87.6%,indicating that its diagnostic performance was stable.The Hosmer-Lemeshow goodness-of-fit test yielded a chi-square value of 6.593 with a P-value of 0.581,confirming that the model's predictions closely align with the observed outcomes.(3)The calibration curve of the model also performed well,and its overall trend was very close to the ideal curve,further proving the high accuracy of the model.(4)The internal validation was carried out by the Bootstrap method with 1 000 repeated samplings,and the area under the curve of the model internal validation was still as high as 0.939,proving that the model had good stability.(5)Through the decision curve,it is found that within the probability threshold range of 1%to 92%,the model can obtain the maximum net benefit value.(6)The SHAP analysis results show that among the risk factors analyzed in this study,the location of the fracture line serves as the most significant predictor of femoral head necrosis following internal fixation with cannulated screws in femoral neck fractures,and subcapital fractures are extremely prone to femoral head necrosis after surgery.(7)It is concluded that the validated prediction model demonstrates strong discriminative power and reliability,offering practical clinical utility.It serves as a useful reference tool for short-term risk assessment of femoral head necrosis following internal fixation of femoral neck fractures.
6.Construction and Application Evaluation of an Integrated Traditional Chinese and Western Medicine Risk Prediction Model for Readmission in Patients with Stable Angina of Coronary Heart Disease:A Prospective Study Based on Real-World Clinical Data
Wenjie HAN ; Mingjun ZHU ; Xinlu WANG ; Rui YU ; Guangcao PENG ; Qifei ZHAO ; Jianru WANG ; Shanshan NIE ; Yongxia WANG ; Jingjing WEI
Journal of Traditional Chinese Medicine 2025;66(6):604-611
ObjectiveBy exploring the influencing factors of readmission in patients with stable angina of coronary heart disease (CHD) based on real-world clinical data, to establish a risk prediction model of integrated traditional Chinese and western medicine, in order to provide a basis for early identification of high-risk populations and reducing readmission rates. MethodsA prospective clinical study was conducted involving patients with stable angina pectoris of CHD, who were divided into a training set and a validation set at a 7∶3 ratio. General information, traditional Chinese medicine (TCM)-related data, and laboratory test results were uniformly collected. After a one-year follow-up, patients were classified into a readmission group and a non-readmission group based on whether they were readmitted. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for readmission. A risk prediction model of integrated traditional Chinese and western medicine was constructed and visualized using a nomogram. The model was validated and evaluated in terms of discrimination, calibration, and clinical decision curve analysis. ResultsA total of 682 patients were included, with 477 in the training set and 205 in the validation set, among whom 89 patients were readmitted. Multivariate logistic regression analysis identified heart failure history [OR = 6.93, 95% CI (1.58, 30.45)], wiry pulse [OR = 2.58, 95% CI (1.42, 4.72)], weak pulse [OR = 3.97, 95% CI (2.06, 7.67)], teeth-marked tongue [OR = 4.38, 95% CI (2.32, 8.27)], blood stasis constitution [OR = 2.17, 95% CI (1.06, 4.44)], phlegm-stasis mutual syndrome [OR = 3.64, 95% CI (1.87, 7.09)], and elevated non-high-density lipoprotein cholesterol [OR = 1.30, 95% CI (1.01, 1.69)] as influencing factors of readmission. These factors were used as predictors to construct a nomogram-based risk prediction model for readmission in patients with stable angina. The model demonstrated moderate predictive capability, with an area under the receiver operating characteristic curve (AUC) of 0.818 [95% CI (0.781, 0.852)] in the training set and 0.816 [95% CI (0.779, 0.850)] in the validation set. The Hosmer-Lemeshow test showed good calibration (χ² = 4.55, P = 0.80), and the model's predictive ability was stable. When the threshold probability exceeded 5%, the clinical net benefit of using the model to predict readmission risk was significantly higher than intervening in all patients. ConclusionHistory of heart failure, teeth-marked tongue, weak pulse, wiry pulse, phlegm-stasis mutual syndrome, blood stasis constitution, and non-high-density lipoprotein cholesterol are influencing factors for readmission in patients with stable angina of CHD. A clinical prediction model was developed based on these factors, which showed good discrimination, calibration, and clinical utility, providing a scientific basis for predicting readmission events in patients with stable angina.
7.Gushukang interferes with osteoclasts:activation of nuclear factor erythroid 2-related factor 2 regulates the c-Fos/NFATc1 pathway in the treatment of osteoporosis
Chengzhi HOU ; Jiatong HAN ; Guangcheng WEI ; Zechuan ZHUO ; Qiuyue LI ; Yong ZHAO ; Zhangjingze YU
Chinese Journal of Tissue Engineering Research 2025;29(2):279-285
BACKGROUND:It has been shown that Gushukang affects bone metabolism by regulating nucleotide and amino acid metabolism and immune mechanisms.Current research on the mechanism of Gushukang in the treatment of osteoporosis primarily focuses on osteoblast regulation and requires further improvement from the perspective of osteoclasts. OBJECTIVE:To investigate the mechanism by which Gushukang interferes with osteoclasts in the treatment of osteoporosis using RAW264.7 cells as the research model. METHODS:Twenty-four 8-week-old female Sprague-Dawley rats were randomly divided into four groups(n=6 per group):the three experimental groups were given 1,2 and 4 g/kg osteoporosis solution by gavage(2 times per day),and the control group was given an equal amount of distilled water by gavage(2 times per day).After 7 days of intragastric administration,aortic blood samples were extracted to collect serum samples using centrifugation,and serum samples from the same groups were combined to obtain the low-,medium-,and high-concentration Gushukang-containing and normal sera for the subsequent experiments.(1)RAW264.7 cells were cultured in six groups:normal serum was added to the control group;low,medium,and high concentration groups were added with low,medium,and high concentrations of Gushukang-containing serum,respectively;ML385,a nuclear factor erythroid 2-related factor 2(Nrf2)inhibitor was given in the Nrf2 inhibitor group;and t-BHQ,a Nrf2 activator,was added in the Nrf2 activator group.Cell viability was detected using the cell counting kit-8 assay.(2)The 3rd generation RAW 264.7 cells were cultured and divided into five groups:the blank control group was added with normal serum,the osteoclast group was added with receptor activator of nuclear factor κB ligand(RANKL),and the low-,medium-,and high-concentration groups were added with low-,medium-,and high-concentration Gushukang-containing serum based on the addition of RANKL.Tartrate-resistant acid phosphate staining was performed after 5 days of culture.(3)RAW264.7 cells were cultured and divided into five groups:blank control group was cultured with normal serum,osteoclast group cultured with normal serum and RANKL,high concentration+osteoclast group cultured with RANKL+high concentration Gushukang-containing serum,osteoclast+Nrf2 agonist group cultured with RANKL+t-BHQ,and high concentration+osteoclast+Nrf2 inhibitor group cultured with RANKL+high concentration Gushukang-containing serum+ML385.Western blot assay and determination of reactive oxygen content were performed after 5 days of culture. RESULTS AND CONCLUSION:The cell counting kit-8 results indicated that Gushukang-containing serum,NRF2 inhibitor or agonist had no significant effect on RAW264.7 cell viability.Tartrate-resistant acid phosphate staining results demonstrated that Gushukang-containing serum exhibited a concentration-dependent inhibitory effect on osteoclast differentiation.Western blot analysis and determination of reactive oxygen species revealed that compared with the blank control group,Nrf2 protein expression was decreased in the osteoclast group(P<0.05),while c-Fos and NFATc1 protein expression and reactive oxygen species content were elevated(P<0.05);compared with the osteoclast group,Nrf2 protein expression was elevated and reactive oxygen species content was decreased in the high-concentration+osteoclast group,osteoclast+Nrf2 agonist group,and high-concentration+osteoclast+Nrf2 inhibitor group(P<0.05),while c-Fos and NFATc1 protein expression was decreased in the high concentration+osteoclast group and osteoclast+Nrf2 agonist group(P<0.05);compared with the high concentration+osteoclast group,Nrf2 protein expression was decreased(P<0.05)and reactive oxygen species content was elevated(P<0.05)in the high concentration+osteoclast+Nrf2 inhibitor group.To conclude,Gushukang reduces reactive oxygen species production by activating Nrf2,thereby inhibiting downstream of the c-Fos/NFATc1 pathway and suppressing osteoclast differentiation.
8.Overexpression of PP2Cm alleviates atorvastatin-induced insulin resistance
Shi-han ZHAO ; Cai-lin TANG ; Yu CHEN ; Wei-kang HUANG ; Feng-rong LUO ; Xue BAI
Chinese Pharmacological Bulletin 2025;41(7):1273-1282
Aim To investigate the potential role and related mechanisms of protein phosphatase 2Cm(PP2Cm)overexpression in atorvastatin-induced insu-lin resistance.Methods Male C57BL/6J mice,fibro-blast growth factor 21 knockout(FGF21-KO)mice,and wildtype(WT)mice were raised for 12 weeks to construct models.Groups included atorvastatin,con-trol,atorvastatin+PP2Cm overexpression(OE),FGF21-KO+vehicle,FGF21-KO+PP2Cm OE,WT+vehicle,WT+PP2Cm OE.Body weight,fasting blood glucose levels,fasting insulin levels,and intraperitoneal glucose tolerance tests(IPGTT)were measured in 4,8 and 12 weeks.The concentrations of branched-chain a-mino acids(BCAA)in cells,tissues and serum,as well as the mRNA and protein expression of BCAA cat-abolic enzymes,were determined by qRT-PCR,Western blot and ELISA after atorvastatin treatment.Further-more,the effects of PP2Cm overexpression on these in-dicators were explored,and the FGF21 was verified in vivo and in vitro.Results Atorvastatin induced insu-lin resistance in mice,altered insulin,glucose tolerance and increased BCAA levels.PP2Cm overexpression mitigated these changes.In the Atorvastatin+PP2Cm OE group,FGF21 mRNA,protein and concentration were all significantly upregulated.Regardless of PP2Cm overexpression,the knockout of FGF21 signifi-cantly increased BCAA expression levels,both fasting insulin and blood glucose levels were significantly high-er than those in WT group.Conclusions FGF21 may be an important regulator of PP2Cm involved in atorv-astatin-induced insulin resistance.PP2Cm overexpres-sion alleviates the effects of atorvastatin-induced insulin resistance by regulating FGF21.
9.Optimal b-Value Sets Based on Intravoxel Incoherent Motion in Pulmonary Solid Benign and Malignant Lesions
Wei WEI ; Heng LI ; Na ZHAO ; Chanjuan YU ; Xiuzheng YUE ; Zhiwei SHEN ; Xiangfei CHEN ; Sheng ZHANG ; Xiao YANG ; Yuedong HAN
Chinese Journal of Medical Imaging 2025;33(8):834-839
Purpose To quantitatively compare the diffusion parameters of mono-and biexponential diffusion-weighted imaging models,and to obtain optimal sets of b-values in diffusion-weighted MRI for obtaining monoexponential apparent diffusion coefficient(ADC)close to perfusion-insensitive intravoxel incoherent motion(IVIM)model ADC(ADCIVIM)in identifying of pulmonary solid benign and malignant lesions.Materials and Methods IVIM was performed in 40 patients with solid nodule and masse in Xi'an Gaoxin Hospital from July 2021 to August 2022 using a 3.0T MR imager.Two experienced diagnostic radiologists subjectively evaluated the IVIM images.A single index model was used to calculate ADC values(ADC0-1 000,ADC20-1 000,ADC50-1 000,ADC80-1 000,ADC150-1 000,ADC300-1 000,ADC500-1 000,ADC300,500,1 000,ADC300,800,1 000,ADC300,500,ADC300,800 and ADC300,1 000).The reference standard ADCIVIM value were calculated using a double-exponential model.The physician's measurements between two physicians were measured.The malignant and benign groups were compared and receiver operator characteristic curve for all parameters were analyzed.Results The measurement consistency of ADC values under b value sets and ADCIVIM was very good,and the intraclass correlation coefficient was more significant than 0.75.The differences between ADCIVIM and ADC values in each b group were statistically significant(t=-6.016--2.500,all P<0.05).The area under the curve(AUC)of ADCIVIM was the largest(0.906),with an optimal threshold of 1.271×10-3 mm2/s,a sensitivity of 80.0%and a specificity of 93.0%.The diagnostic efficacy close to ADCIVIM were ADC300,800(AUC=0.891),ADC50-1 000(AUC=0.827)and ADC300,800,1 000(AUC=0.795),respectively.The optimal threshold of ADC300,800 was 1.140×10-3 mm2/s,the sensitivity and specificity were 80.0%and 93.7%,respectively.Conclusion Combining b-values 300 s/mm2 and 800 s/mm2 is recommended as routine scanning parameters for identifying the insensitive monoexponential ADC between benign and malignant solid pulmonary lesions.
10.Two-Dimensional Speckle Tracking Echocardiography in Distinguishing Fabry Disease in Patients with Left Ventricular Hypertrophy
Chonghui WANG ; Han WANG ; Ying YANG ; Lin LIU ; Fangfang FAN ; Yawen ZHAO ; Wei ZHANG ; Yang YU ; Wei MA
Chinese Journal of Medical Imaging 2025;33(8):848-853,879
Purpose To explore the diagnostic value of two-dimensional speckle tracking echocardiography(2D-STE)in differentiating left ventricular hypertrophy(LVH)caused by Fabry disease from other etiologies.Materials and Methods A total of 23 patients clinically confirmed Fabry disease with LVH(Fabry disease group)in Peking University First Hospital from August 2014 to February 2023,retrospectively.23 patients with hypertensive LVH(hypertensive LVH group)and 23 with hypertrophic cardiomyopathy(HCM)(HCM group)were also included.Conventional echocardiographic parameters and 2D-STE-derived left atrial strain and left ventricular longitudinal strain were analyzed and compared among the three groups.LASSO regression was used to select variables and construct a diagnostic model to differentiate hypertensive LVH,HCM and Fabry disease group.Results The Fabry disease group showed significantly reduced left ventricular global longitudinal strain and segmental left ventricular longitudinal strain in the basal anterior wall,basal anterolateral wall and mid inferior wall compared to the hypertensive LVH group(P<0.05).There were no significant differences in left atrial strain,left ventricular global longitudinal strain and segmental left ventricular longitudinal strain between the Fabry disease and HCM groups(P>0.05).Compared to the conventional echocardiography-based model,the combined model did not significantly improve diagnostic accuracy for differentiating the three etiologies(Z=-1.314--0.594,all P>0.05).Conclusion Compared to patients with hypertensive LVH,HCM and Fabry disease group exhibit varying degrees of decrease in global and segmental longitudinal strain of the left atrium and left ventricle.Additional measurements of left ventricular longitudinal strain and left atrial strain do not provide significant incremental diagnostic value over conventional echocardiography in distinguishing among Fabry disease,hypertensive LVH and HCM.

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