![]() | Only 14 pages are availabe for public view |
Abstract Cardiac resynchronization therapy is a good option in HF patients who fulfil the criteria for its implantation. The study aimed to assess patients with three-dimensional echocardiography and speckle tracking echocardiography before CRT implantation to predict the responders and after 3 months to determine the response. Methods: The study was a descriptive follow up study that was conducted at Kafr Elsheikh university hospitals from January 2020 to March 2022 and included 40 patients who underwent CRT implantation with assessment of the patients clinically and with three-dimensional echocardiography and speckle tracking echocardiography using 3D-16 segment SDI and maximal septal to lateral delay as a main parameter to assess patients before and 3 months after implantation. They were classified according to response into 3 groups, non-responders, clinical responders, clinical and echocardiographic responders. Results: The mean 3D 16-SDI before CRT was 9.14 ± 1.71 in (group 1), 12.49 ± 2.14 in (group 2) and 15.91 ± 2.60 in (group 3) which means the more the 3D 16-SDI, the more will be the response with a highly statistically significant positive correlation between them (P-value < 0.01). There was also a highly statistically significant positive correlation between ESV, 3D EF, NYHA class, QRS width and response to CRT. (The more their values, the more the response). (P-value < 0.01). There was a highly statistically significant positive correlation between response to CRT and increase in maximal Sep to Lat delay before implantation (P- value < 0.01). There was a statistically significant inverse correlation between response to CRT and decrease in maximal Sep to Lat delay after implantation (P- value 0.036). Conclusion: Three-dimensional 16 segments systolic dyssynchrony index (3D 16-SDI) is a very good tool that can be used to predict who will respond to CRT before implantation. The more its value, the more will be the response. Maximal Sep to Lat delay is a good tool that can predict the response to CRT before implantation, the more its value, the more will be the response and also after implantation, the less its value, the more will be the response. |