1.Clinical applications of active fixation at the right ventricular outflow tract using a modified pacing leads model.
Zhihuan ZENG ; Silin CHEN ; Yanqun ZHAO ; Wanxing ZHOU ; Wei ZHANG ; Guiping ZHU ; Bowei LI ; Yuliang ZHOU
Journal of Southern Medical University 2014;34(7):1020-1024
OBJECTIVETo assess the feasibility and safety of using the modified active fixation pacing leads model to pace the right ventricular outflow tract septum.
METHODSA total of 136 patients undergoing artificial heart pacemaker implantation with active fixation pacing leads were randomized into two groups to receive conventional right ventricular outflow tract pacing (CRVOTP) or modified right ventricular outflow tract pacing (MRVOTP). The electrode lead wire core was modeled in a double-curved three-dimensional shape in CRVOTP group and in a J-shaped bend in MRVOTP group before fixation at the right ventricular outflow tract septum.
RESULTSRight ventricular outflow tract septum pacing was achieved successfully in all the patients. None of patients experienced serious complications. No significant differences were found between the two groups in the number of times of electrode fixation, pacing thresholds, impedance, R wave height or QRS wave width during the operation, but MRVOTP was associated with a reduced time of X -ray exposure and operation (P<0.05) due to the convenience in electrode modeling and in passing the leads through the tricuspid annulus and the direct access to the right ventricular outflow tract septum. Postoperative follow-up of the patients showed no incidence of active fixation pacing lead dislocation and comparable pacing thresholds of the ventricular electrodes, impedance, R wave height and QRS wave width between the two groups.
CONCLUTIONSUsing the modified active fixation pacing leads model to pace the right ventricular outflow tract septum can reduce the time of X -ray exposure and operation with a low probability of lead damage.
Cardiac Pacing, Artificial ; Electrodes ; Heart Ventricles ; Humans ; Pacemaker, Artificial
2.Predictive model of fecal or urinary incontinence among older adults in China
Lin LI ; Feilong CHEN ; Xiaoyan LI ; Yiyuan GAO ; Silin ZHU ; Xiyezi DIAO ; Ning WANG ; Tao XU
Chinese Journal of Geriatrics 2023;42(6):726-732
Objective:To construct and validate a predictive model of fecal/urinary incontinence among older adults in China.Methods:Data was obtained from the Seventh Chinese Longitudinal Healthy Longevity Survey in 2018.In the questionnaire, "Are you able to control your bowel and urine" , was regarded as the main effect indicator.Receiver operating curves(ROC)were used to find the best cut-off values of calf circumference for predicting fecal/urinary incontinence, and univariate Logistic model method was used to explore the potential factors associated with fecal/urinary incontinence among community-living older adults in China.A random sampling method was used to extract 70% of the survey data as the training set, and the remaining 30% of the survey data as the test set.A multivariate Logistic regression analysis was conducted in the training set to build a prediction model that encompassed all predictors, and a nomogram was plotted.Results:Logistic regression analysis showed that age, small calf circumference(male <28.5 cm, female <26.5 cm), inability to walk 1 km continuously, inability to lift 5 kg items, inability to do three consecutive squats, limited daily activities, and a history of urinary system disorders, nervous system disorders, and cerebrovascular disorders were all risk factors for fecal/urinary incontinence for older adults in China.Female, better socioeconomic status, and normal body mass index were protective factors for fecal/urinary incontinence.The Logistic regression model for predicting fecal/urinary incontinence among Chinese older adults was constructed using the above twelve factors.The consistency index(C-index)value of the model was 0.907, indicating that the model had good predictive ability.The area under the ROC curve(AUC)of the overall sample, training set and test set were 0.906(95% CI: 0.896-0.917), 0.907(95 % CI: 0.894-0.921)and 0.910(95% CI: 0.892-0.928), respectively, indicating that the model had high prediction ability and good discrimination. Conclusions:Age, sex, calf circumference, ability to walk 1 km continuously, ability to lift 5 kg items, ability to do three consecutive squats, daily activities, history of urinary system disorders, nervous system disorders and cerebrovascular disorders, socioeconomic status, and body mass index were independent predictors for fecal/urinary incontinence among older adults in China.The nomogram based on the above indicators has a good predictive effect on fecal/urinary incontinence for older adults.