Objective To evaluate left atrial(LA) function in essential hypertensive patients by speckle tracking imaging (STI) and real-time three-dimensional echocardiography (RT-3DE).Methods Thirty seven patients with essential hypertension were divided into normal geometric left ventricle(LV) group (LVN, n = 17) and remodeling geometrc LV group (LVR,n = 20).Twenty-six healthy participants were also include.The strain rate curve was auquired in each LA segment (anterior, posterior, lateral, inferior and septal) by STI. The LV mass, LA maximal, minimal and pre-systolic volume (LAVmax, LAVmin and LAVp), LA passive ejection fraction (LAPEF), LA active ejection fraction (LAAEF) were measured by RT-3DE. Results ①Compared with the control group, the mean peak systolic strain rate(mSR_S) in LVN group was lower(P <0.05), and the mSR_S, mean peak early diastolic strain rate(mSR_E) in LVR group were reduced (P <0.01, P<0.05), and the mean peak late diastolic strain rate (mSR_A) in LVR group was increased (P<0.01).②Compared with the control group,the LAVmax, LAVmin and LAV_P all increased in LVN and LVR group(P <0.05 or P <0, 01), the LAPEF was degraded (P<0.05),and the LAAEF was increased (P<0.05) in the LVR group.③A significant relation between mSR_E and LAPEF(r = 0.788, P <0.01), mSR_A and LAAEF(r = 0.804, P<0.01) could be found in the LVN and LVR group. Conclusions STI and RT-3DE may play important roles in the evaluation of left atrial function. The deformation ability of LA wall may decrease before left ventricular remodeling and it showed a significantly positive correlation with LA ejection function in patients with essential hypertension.

Objective To preliminary explore the feasibility of three‐dimensional transesophageal echocardiography ( 3D‐T EE) as images data source for 3D printing model by comparing the 3D‐T EE with CT of the aortic root Digital Imaging and Communications in M edicine ( DICOM ) data into 3D printing models respectively . Methods Fifteen patients w ho underwent surgical aortic valve replacement in the hospital were enrolled ,and the aortic root 3D‐T EE and CT DICOM data were obtained in perioperative . T he images were imported into M imics software to generate digital model standard tessellation language file ,and to print the aortic root models by 3D printer . T he structural morphology of both 3D‐T EE and CT models were qualitatively evaluated respectively . T he aortic annular area ,perimeter ,maximal diameter and minimal diameter of the original data , digital model , model and aortic valve replacement were quantitatively evaluated ,and the consistency of each parameter value were analyzed . T he mean diameter of 3D‐T EE and CT model were calculated . T he correlation of mean diameter with the number of replacement was analyzed . Results ①Both 3D‐TEE and CT images data were successfully printed into 3D models ,and the positive rate of aortic valve structure were 93 .3% ( 14/15) and 80 .0% ( 12/15) respectively . ②T he measured values of the aortic annular 3D‐T EE and digital model were smaller than CT ,CTdigital model and replacement ( P＜0 .05) ,and the measurement consistency among groups was high . ③ T he parameter values of 3D‐T EE model were smaller than CT model ( P ＜0 .05 ) ,and the measured values were all within the consistency range . T he mean diameters were highly correlated with the replacement values ( r ＞ 0 .95 , P ＜ 0 .05 ) . Conclusions 3D printing aortic root model based on 3D‐TEE image data is of high feasibility .

Objective To evaluate the effect of epidural labor analgesia with different concentra-tions of ropivacaine combined with sufentanil on fever. Methods A total of 104 healthy parturients, of A-merican Society of Anesthesiologists physical status Ⅰ or Ⅱ, with New York Heart Association gradeⅠ orⅡ, with body height 150-175 cm, weighing 50-90 kg, at 37-45 weeks of gestation, scheduled for elec-tive labor analgesia, were divided into 0. 075％ ropivacaine group ( group R1, n=51) and 0. 125％ ropiva-caine group ( group R2, n=53) by a random number table method. Epidural labor analgesia was performed with 0. 075％ ropivacaine plus 0. 25μg∕ml sufentanil and with 0. 125％ ropivacaine plus 0. 25μg∕ml sufen-tanil in group R1 and group R2, respectively, to maintain visual analog scale score<3. Body temperature was measured before analgesia ( T0 ) , at 30 min, 1, 3 and 5 h of analgesia ( T1-4 ) , immediately after de-livery and at 2 h after delivery ( T5,6 ) . Venous blood samples were collected at T0,3,5 to detect the concen-tration of interleukin-6 ( IL-6) in serum. The incidence of fever, plane of anesthesia, fluid infusion rate, consumption of sufentanil and ropivacaine, the number of increment of drugs and length of labor were recor-ded. Results Compared with group R1, the degree of increase in body temperature was significantly in-creased at T1-6 , the consumption of ropivacaine and concentration of IL-6 at T3 were increased in group R2 (P<0. 05). There was no significant difference in the rate of fever, plane of anesthesia, fluid infusion rate, consumption of sufentanil and ropivacaine, the number of increment of drugs or length of labor be-tween two groups ( P>0. 05) . Conclusion Epidural labor analgesia with different concentrations of ropiva-caine combined with sufentanil exerts no effect on fever, 0. 075％ ropivacaine induces less changes in body temperature of parturients than 0. 125％ ropivacaine, which is related to the lower concentration of IL-6.

Objective: To preliminary explore the feasibility of three-dimensional transesophageal echocardiography (3D-TEE) as images data source for 3D printing model by comparing the 3D-TEE with CT of the aortic root Digital Imaging and Communications in Medicine(DICOM) data into 3D printing models respectively. Methods: Fifteen patients who underwent surgical aortic valve replacement in the hospital were enrolled, and the aortic root 3D-TEE and CT DICOM data were obtained in perioperative. The images were imported into Mimics software to generate digital model standard tessellation language file, and to print the aortic root models by 3D printer. The structural morphology of both 3D-TEE and CT models were qualitatively evaluated respectively. The aortic annular area, perimeter, maximal diameter and minimal diameter of the original data, digital model, model and aortic valve replacement were quantitatively evaluated, and the consistency of each parameter value were analyzed. The mean diameter of 3D-TEE and CT model were calculated. The correlation of mean diameter with the number of replacement was analyzed. Results: ①Both 3D-TEE and CT images data were successfully printed into 3D models, and the positive rate of aortic valve structure were 93.3% (14/15) and 80.0% (12/15) respectively. ②The measured values of the aortic annular 3D-TEE and digital model were smaller than CT, CTdigital model and replacement (P<0.05), and the measurement consistency among groups was high. ③The parameter values of 3D-TEE model were smaller than CT model (P<0.05), and the measured values were all within the consistency range. The mean diameters were highly correlated with the replacement values (r>0.95, P<0.05). Conclusions 3D printing aortic root model based on 3D-TEE image data is of high feasibility.