Utilizing CiteSpace and VOSviewer， a bibliometric analysis was conducted on 1，496 articles from the China National Knowledge Infrastructure， Chinese Science and Technology periodical database， Wanfang data， and the Web of Science database spanning 2006 to 2025， systematically revealing the evolutionary patterns of knowledge regarding doctor‐patient shared decision‐making （SDM） in the field of chronic disease management. The research indicated that the number of publications at home and abroad displayed an overall upward trend， yet their development paths differed significantly. International research has formed a “core-periphery” cooperation network， with research hotspots focusing on the improvement of decision-making quality， optimization of decision-making aids， application in primary care settings， and ethical issues in decision-making. Domestic research， driven by policies， developed rapidly and paid more attention to coverage improvement and cultural adaptation， but notable gaps remained in cross-institutional cooperation and tool localization. Currently， China’s practice still encountered multiple challenges， including restricted patients’ participation willingness due to “family-oriented” cultural values， inadequate localization of decision-making aids， and imperfect decision-making support systems in primary healthcare institutions. On this basis， this paper put forward localized suggestions from three dimensions， including cultural adaptation， technological innovation， and institutional coordination. Through multi-dimensional strategies such as advocating for constructing a family-empowered decision-making model， developing decision-making aids integrated with the dialectical logic of traditional Chinese medicine， and promoting the linkage between SDM implementation and the reform of medical insurance payment methods， it was expected to connect international experience with China’s practice. This aimed to provide references for building a chronic disease decision-making model with Chinese characteristics and contribute to the “patient-centered” medical transformation.

Objective:To explore the changes of left atrial volume and function in patients with early diabetic nephropathy by four-dimensional auto left atrial quantification (4D Auto LAQ).Methods:Forty patients with early diabetic nephropathy (early diabetic nephropathy group), 40 patients with type 2 diabetes (diabetes group) in Henan Provincial People′s Hospital from March 2020 to April 2021 were selected, and 36 healthy volunteers (control group) were collected during the same period. The parameters of conventional echocardiography were measured, and the four-dimensional volume probe was used to obtain the complete left atrial volume image in 5 cardiac cycles. The 4D Auto LAQ software on the EchoPAC workstation was used for analysis to obtain the left atrial volume and strain indicators: left atrial (LA) maximum volume (LAVmax), left atrial minimum volume (LAVmin), pre-systolic volume (LAVpreA), left atrial volume index (LAVImax), left atrial emptying volume (LAEV), left atrial emptying fraction (LAEF), and long axis and circumferential strains in left atrial reserve phase, pipeline phase and systolic phase (LASr, LASr-c; LAScd, LAScd-c; LASct, LASct-c). The differences of these parameters among 3 groups were analyzed.Results:There were no significant differences in interventricular septum end-diastolic thickness(IVSd), left ventricular posterior wall end-diastolic thickness(LVPWd), left ventricular end-diastolic dimension(LVIDd), left ventricular ejection fraction(LVEF), and E/A (ration of early to late diastolic peak flow velocity of mitral orifice) among 3 groups (all P>0.05), and left atrial diameter(LAD), relative wall thickness(RWT), and E/e′ (ration of early diastolic peak flow velocity of mitral orifice to early diastolic velocity of lateral mitral annulus) among 3 groups were significantly different (all P<0.05). Further pairwise comparison results showed that LAD was only significantly different between the early diabetic nephropathy group and control group ( P=0.001 2), and the differences in RWT and E/e′ were statistically significant among 3 groups (all P<0.05). There were no significant differences in LAEV, LAScd-c, and LASct-c among 3 groups (all P>0.05), and LAVmin, LAVmax, LAVpreA, LAVImax, LAEF, LASr, LAScd, LASct, and LASr-c among the 3 groups were significantly different (all P<0.05). The pairwise comparison showed that, compared with the control group and the diabetes group, LAVmin, AVpreA, and LAVImax in the early diabetic nephropathy group were increased, and LAEF, LAScd, LASct, and LASr-c were decreased (all P<0.05). Compared with the control group, LAVmax, LAVImax and LASct in the diabetes group were increased, and LAEF, LAScd, and LASr-c were decreased (all P<0.05). Conclusions:4D Auto LAQ technology can quantitatively evaluate the changes in left atrium volume and function in patients with early diabetic nephropathy. Patients with early diabetic nephropathy have an increase in left atrium volume and a decrease in strain value.

Objective:To study the changes of left atrial volume and function in patients with acute myocardial infarction (AMI) by three-dimensional echocardiography (3DE) and magnetic resonance imaging (MRI).Methods:Thirty-one patients with AMI in Henan People′s Hospital from March to October 2020 were selected as AMI group and 30 healthy subjects were selected as control group.The left atrial maximum volume (LAVmax), minimum volume (LAVmin), presystolic volume (LAVpre), volume index(LAVI), emptying volume (LAEV), ejection fraction (LAEF), long axis and circumferential strain (LASr, LASr-c; LAScd, LAScd-c; LASct, LASct-c) were measured by two-dimensional echocardiography (2DE), 3DE left atrial automatic quantitative technique and CMR.The differences of left atrial indices between two groups and among 2DE, 3DE left atrial automatic quantitative and CMR techniques were compared. Pearson correlation coefficient and Bland-Altman analysis were used to compare 2DE, 3DE left atrial automatic quantitative and CMR. Intra-observer and inter-observer repeatability of 2DE, 3DE left atrial automatic quantitative technique and CMR were evaluated by intra-group correlation coefficient (ICC).Results:①Compared with the control group: LAVmax, LAVmin, LAVpre, LAVI, LASct and LASct-c by 3DE left atrial automatic quantitative increased, while LAEV, LAEF, LASr, LASr-c, LAScd and LAScd-c by 3DE left atrial automatic quantitative technique decreased in AMI group (all P<0.05). ②LAVmax, LAVmin, LAVpre, LASr, LAScd, LASct measured by 3DE left atrial automatic quantitative were more strongly related to CMR than that measured by 2DE(all P<0.05). Compared with CMR, 2DE underestimated LAVmax, LAVmin, LAVpre, LASr, LAScd, LASct by (8.01±4.01)ml, (9.03±4.15)ml, (7.26±2.09 )ml, (7.26±1.23)%, (5.02±1.08)%, (6.24±0.43)%(all P<0.05); 3DE left atrial automatic quantitative technique underestimated LAVmax, LAVmin, LAVpre, LASr, LAScd, LASct by (1.67±0.62)ml, (1.95±0.90)ml, (2.52±0.76)ml, (1.97±0.59)%, (2.03±0.39)%, (1.02±0.30)% (all P>0.05); The time-consuming of 2DE and 3DE left atrial automatic quantitative technique was reduced, and the time-consuming of 3DE left atrial automatic quantitative technique was less than 2DE [(12.18±3.24)s vs (73.34±10.37)s]. ③The reproducibility of 2DE, 3DE left atrial automatic quantitative technique and CMR measurement within and between observers were good. Conclusions:3DE left atrial automatic quantitative technique can effectively evaluate the changes of left atrial volume and function in patients with AMI. Compared with 2DE and CMR, it is simple, rapid, accurate and repeatable, which provides a new and effective method for clinical study of cardiovascular diseases.

Objective:The evaluate left ventricular myocardial work in maintenance hemodialysis (MHD) patients by non-invasive left ventricular pressure strain curve.Methods:Forty-eight patients undergoing maintenance hemodialysis were selected as the MHD group, and 33 healthy subjects were selected as the control group from Apr to Oct 2019 in Henan Provincial People′s Hospital. The differences of general clinical data, basic parameters of two-dimensional ultrasound including left ventricular end-diastolic diameter (LVDd), left ventricular end-systolic diameter (LVDs), left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), stroke volume (SV), diastolic interventricular septal thickness (IVSd), left ventricular diastolic posterior wall thickness (LVPWd), left ventricular diastolic mass (LVDm), left ventricular systolic mass (LVSm), late diastolic tissue velocity (a′), early diastolic peak velocity/early diastolic tissue velocity (E/e′), A peak and cardiac output (CO), peak strain dispersion (PSD), and global work index (GWI), global work efficiency (GWE), global constructive work (GCW), global wasted work (GWW) and global long-axis strain (GLS) between two groups were compared, and the correlation between myocardial work parameters and conventional cardiac parameters was analyzed.Results:①In terms of comparison, LVDd, LVDs, LVEDV, LVESV, SV, IVSd, LVPWd, LVDm, LVSm, systolic blood pressure (SBP), diastolic blood pressure (DBP), a′, E/e′. A peak and CO of the MHD group were greater than those in the control group (all P<0.05), and e′ of the MHD group was lower ( P<0.05). ②In terms of comparison, PSD and GWW of the MHD group were greater than those of the control group (all P<0.05), while GLS and GWE of the MHD group was lower (all P<0.05). There were no statistically significant differences in GCW and GWI between two groups(all P>0.05). ③GWI was positively correlated with SBP, DBP and left ventricular ejection fraction (LVEF)( r1=0.442, P1=0.030; r2=0.477, P2=0.019; r3=0.431, P3=0.040), and negatively correlated with GLS and LVDs( r1=-0.576, P1=0.003; r2=-0.404, P2=0.050). GWW was positively correlated with GLS and PSD( r1=0.584, P1=0.003; r2=0.564, P2=0.004). GWE was positively correlated with LVEF( r=0.424, P=0.044), and negatively correlated with LVEDV, LVESV, PSD, GLS and LVDm( r1=-0.444, P1=0.034; r2=-0.490, P2=0.018; r3=-0.721, P3<0.001; r4=-0.738, P4<0.001; r5=-0.442, P5=0.035). GCW was positively correlated with LVEF and DBP( r1=0.494, P1=0.017; r2=0431, P2=0.035), and negatively correlated with GLS and LVDs( r1=-0.630, P1=0.001; r2=-0.419, P2=0.042). Conclusions:The non-invasive left ventricular pressure-strain curve combines blood pressure and strain. Compared with the GLS, it can accurately assess left ventricular myocardial work in maintenance hemodialysis patients and predict potential left ventricular function changes in maintenance hemodialysis patients.