1.Evaluation of left ventricular function changes in pregnant women with different severities of hypertensive disorders of pregnancy by strain and tissue-tracking mitral annular displacement parameters
Ziyue WANG ; Xinxia WANG ; Hezhou LI ; Juan WU ; Junling ZHANG ; Yun LIU ; Yu CUI ; Manyu LI ; Yulu MIAO
Chinese Journal of Ultrasonography 2025;34(9):784-791
Objective:To evaluate the changes in left ventricular structure and function in pregnant women with different severities of hypertensive disorders of pregnancy(HDP)using conventional echocardiographic parameters,strain,and tissue-tracking mitral annulus displacement(TMAD)parameters,and to validate and compare the application value of strain and TMAD parameters.Methods:A total of 148 singleton pregnant women with HDP and 100 healthy pregnant women(HP group)who attended the Third Affiliated Hospital of Zhengzhou University from October 2023 to July 2024 were selected. Conventional echocardiographic parameters,strain,and TMAD parameters were collected. Based on the severity of the disease,HDP patients were divided into the gestational hypertension group(GH group, n=49),non-severe preeclampsia group(NSPE group, n=35),and severe preeclampsia group(SPE group, n=64). The differences in various parameters between the HP,GH,NSPE,and SPE groups were compared. The correlation between the displacement ratio of the midpoint of the mitral valve annulus in the apical 4-chamber(AP4 Midpt%),the displacement ratio of the midpoint of the mitral valve annulus in the apical 2-chamber(AP2 Midpt%)and left ventricular global longitudinal strain(LVGLS)were analyzed,and ROC curves were plotted to analyze and compare the diagnostic efficacies of LVGLS,AP4 Midpt% and AP2 Midpt% for left ventricular function changes in HDP pregnant women. Results:① The analysis revealed no statistically significant differences in maternal age and height between the HP group and the HDP subgroups(all P>0.05). In contrast,statistically significant differences were observed in gestational age,systolic blood pressure,diastolic blood pressure,body mass index,and body surface area(all P<0.05). Additionally,significant differences were noted in left ventricular mass,left ventricular interventricular septum thickness at end-diastole,left ventricular posterior wall thickness at end-diastole,left ventricular end-diastolic dimension,left ventricular end-systolic dimension,left ventricular end-diastolic volume,left ventricular end-systolic volume,and stroke volume between the HP group and the HDP subgroups(all P<0.05),while the difference in left ventricular ejection fraction was not statistically significant( P>0.05). ② Significant differences were identified in strain and TMAD parameters between the HP group and the HDP subgroups(all P<0.05),with LVGLS,AP4 Midpt% and AP2 Midpt% exhibited the largest effect sizes( η p2=0.457,0.453,0.351). A progressive decline in strain and TMAD parameters was observed as the severity of HDP increased. ③ There were strong positive correlations between AP4 Midpt%,AP2 Midpt% and LVGLS( r=0.752,0.747;all P<0.001). ④ LVGLS,AP4 Midpt% and AP2 Midpt% all demonstrated significant diagnostic efficacies for changes in left ventricular function in HDP(AUC=0.840,0.847,0.791),and the differences in AUC among the 3 curves were not statistically significant(all P>0.05).⑤ The success rate of collecting TMAD parameters was significantly higher than that of strain parameters(99.24% vs. 93.58%, P<0.001). Conclusions:As the severity of the disease worsens,the changes of left ventricular structure and function in pregnant women with HDP become more and more significant. Both strain and TMAD parameters can early and sensitively identify the subclinical damage of left ventricular systolic function in HDP pregnant women,and both of them have the same diagnostic value. TMAD parameters can be used as a reliable substitute parameter of LVGLS in HDP pregnant women.
2.Evaluation of brain aging in patients with type 2 diabetes mellitus by structural magnetic resonance-driven machine learning model
Jie Wang ; Ziyue Miao ; Jiayue Chang ; Xingwang Wu ; Jiajia Zhu ; Huanhuan Cai
Acta Universitatis Medicinalis Anhui 2025;60(11):2153-2158,2165
Objective:
To explore the brain-predicted age difference (Brain-PAD) in patients with type 2 diabetes mellitus (T2DM) by a machine learning prediction model based on structural magnetic resonance ( sMRI) in the Southwest University Adult Lifespan Dataset (SALD) , and to reveal the relationship between Brain-PAD and dura- tion of T2DM and cognition .
Methods:
Group comparisons about demographic variables and cognitive function were conducted respectively in local database of 104 T2DM patients and 83 healthy controls (HC) . The prediction model via Gaussian process regression (GPR) was constructed by training sMRI data of 329 healthy volunteers in SALD , then its performance was validated and evaluated . Furthermore , Brain-PAD ( predicted age-chronological age) in the local database was calculated . Group comparisons of Brain-PAD between T2DM patients and HCs were conducted by Mann-Whitney U test. Finally , Pearson correlation coefficient (r) was calculated between Brain-PAD and duration of disease and cognition .
Results:
Poor performance in auditory verbal learning test (AVLT)-delayed recall , AVLT-recognition , symbol digital modalities test (SDMT) (P < 0. 05) , and increased Brain-PAD were ob- served in T2DM patients , compared with HCs [1 . 619 ( - 4. 001 , 8. 272) years vs - 1 . 289 ( - 4. 128 , 4. 134) years , Z = 2. 056 , P = 0. 034] . Notably , the median of Brain-PAD in T2DM group was positive , indicating that the brain of T2DM patient maybe relatively “older”than his chronological age . Brain-PAD in T2DM group was as- sociated with performance in AVLT-immediate recall ( r = 0. 291 , P = 0. 003) , AVLT-delayed recall ( r = 0. 248 , P = 0. 011) , SDMT( r = 0. 376 , P = 0. 001) and trail making test (TMT)-A ( r = - 0. 206 , P = 0. 036) . However , the relationships between Brain-PAD and duration of T2DM were not explored .
Conclusion
Decreased cognitive function in patients with T2DM is demonstrated in this study . The machine learning prediction model based on sMRI supports the identification of brain aging objectively in patients with T2DM .
3.Evaluation of left ventricular function changes in pregnant women with different severities of hypertensive disorders of pregnancy by strain and tissue-tracking mitral annular displacement parameters
Ziyue WANG ; Xinxia WANG ; Hezhou LI ; Juan WU ; Junling ZHANG ; Yun LIU ; Yu CUI ; Manyu LI ; Yulu MIAO
Chinese Journal of Ultrasonography 2025;34(9):784-791
Objective:To evaluate the changes in left ventricular structure and function in pregnant women with different severities of hypertensive disorders of pregnancy(HDP)using conventional echocardiographic parameters,strain,and tissue-tracking mitral annulus displacement(TMAD)parameters,and to validate and compare the application value of strain and TMAD parameters.Methods:A total of 148 singleton pregnant women with HDP and 100 healthy pregnant women(HP group)who attended the Third Affiliated Hospital of Zhengzhou University from October 2023 to July 2024 were selected. Conventional echocardiographic parameters,strain,and TMAD parameters were collected. Based on the severity of the disease,HDP patients were divided into the gestational hypertension group(GH group, n=49),non-severe preeclampsia group(NSPE group, n=35),and severe preeclampsia group(SPE group, n=64). The differences in various parameters between the HP,GH,NSPE,and SPE groups were compared. The correlation between the displacement ratio of the midpoint of the mitral valve annulus in the apical 4-chamber(AP4 Midpt%),the displacement ratio of the midpoint of the mitral valve annulus in the apical 2-chamber(AP2 Midpt%)and left ventricular global longitudinal strain(LVGLS)were analyzed,and ROC curves were plotted to analyze and compare the diagnostic efficacies of LVGLS,AP4 Midpt% and AP2 Midpt% for left ventricular function changes in HDP pregnant women. Results:① The analysis revealed no statistically significant differences in maternal age and height between the HP group and the HDP subgroups(all P>0.05). In contrast,statistically significant differences were observed in gestational age,systolic blood pressure,diastolic blood pressure,body mass index,and body surface area(all P<0.05). Additionally,significant differences were noted in left ventricular mass,left ventricular interventricular septum thickness at end-diastole,left ventricular posterior wall thickness at end-diastole,left ventricular end-diastolic dimension,left ventricular end-systolic dimension,left ventricular end-diastolic volume,left ventricular end-systolic volume,and stroke volume between the HP group and the HDP subgroups(all P<0.05),while the difference in left ventricular ejection fraction was not statistically significant( P>0.05). ② Significant differences were identified in strain and TMAD parameters between the HP group and the HDP subgroups(all P<0.05),with LVGLS,AP4 Midpt% and AP2 Midpt% exhibited the largest effect sizes( η p2=0.457,0.453,0.351). A progressive decline in strain and TMAD parameters was observed as the severity of HDP increased. ③ There were strong positive correlations between AP4 Midpt%,AP2 Midpt% and LVGLS( r=0.752,0.747;all P<0.001). ④ LVGLS,AP4 Midpt% and AP2 Midpt% all demonstrated significant diagnostic efficacies for changes in left ventricular function in HDP(AUC=0.840,0.847,0.791),and the differences in AUC among the 3 curves were not statistically significant(all P>0.05).⑤ The success rate of collecting TMAD parameters was significantly higher than that of strain parameters(99.24% vs. 93.58%, P<0.001). Conclusions:As the severity of the disease worsens,the changes of left ventricular structure and function in pregnant women with HDP become more and more significant. Both strain and TMAD parameters can early and sensitively identify the subclinical damage of left ventricular systolic function in HDP pregnant women,and both of them have the same diagnostic value. TMAD parameters can be used as a reliable substitute parameter of LVGLS in HDP pregnant women.


Result Analysis
Print
Save
E-mail