OBJECTIVES To study the perioperative outcomes and long-term survival rates in patients undergoing thoracic endovascular aortic repair (TEVAR) for uncomplicated type B dissection. METHODS A total of 751 patients with uncomplicated type B dissection who underwent TEVAR at our centre between May 2001 and December 2013 were retrospectively reviewed. The mean age of all patients (619 males and 132 females) was 52.8 ± 10.9 years. The follow-up period ranged from 1 to 170 months (median 70 months). RESULTS Five patients died during the perioperative period (mortality rate 0.7%). Four patients (0.5%) developed retrograde type A dissection. Two patients (0.3%) developed paraplegia and 1 patient developed incomplete paralysis (0.1%). There were no postoperative cerebral infarctions. The 5- and 10-year survival rates were 96.5% [95% confidence interval (CI) 95.0–98.0%] and 83.0% (95% CI 77.9–88.4%), respectively. The 5- and 10-year reintervention rates were 4.6% (95% CI 3.0–6.2%) and 7.9% (95% CI 5.3–10.5%), respectively. CONCLUSIONS Although the application of TEVAR for patients with uncomplicated dissection is still under debate, many patients who have undergone TEVAR have benefitted substantially from the treatment. Our data showed that TEVAR had low mortality and complication rates both in the short- and long-term follow-up periods. TEVAR may be considered as a first choice for patients with uncomplicated type B dissection.
Background: The aim of this study was to evaluate the effect of 3-dimensional (3D) printing in treatment of hypertrophic obstructive cardiomyopathy (HOCM) and its roles in doctor-patient communication.Methods: 3D-printed models were constructed preoperatively and postoperatively in seven HOCM patients received surgical treatment. Based on multi-slice computed tomography (CT) images, regions of disorder were segmented using the Mimics 19.0 software (Materialise, Leuven, Belgium). After generating an STL-file (StereoLithography file) with patients' data, the 3D printer (Objet350 Connex3, Stratasys Ltd., USA) created a 3D model. The pre-and post-operative 3D-printed models were used to make the surgical plan preoperatively and evaluate the outcome postoperatively. Meanwhile, a questionnaire was designed for patients and their relatives to learn the effectiveness of the 3D-printed prototypes in the preoperative conversations. Results:The heart anatomies were accurately printed with 3D technology. The 3D-printed prototypes were useful for preoperative evaluation, surgical planning, and practice. Preoperative and postoperative echocardiographic evaluation showed left ventricular outflow tract (LVOT) obstruction was adequately relieved (82.71±31.63 to 14.91±6.89 mmHg, P<0.001), the septal thickness was reduced from 21.57±4.65 to 17.42±5.88 mm (P<0.001), and the SAM disappeared completely after the operation. Patients highly appreciated the role of 3D model in preoperative conversations and the communication score was 9.11±0.38 points.Conclusions: A 3D-printed model is a useful tool in individualized planning for myectomies and represent a useful tool for physician-patient communication.
The mechanisms of hypertrophic cardiomyopathy (HCM) pathogenesis can be investigated by determining the differences between healthy and disease states at the molecular level. In the present study, large‑scale transcriptome sequencing was performed to compare mRNA expression in patients with HCM and control groups using an Illumina sequencing platform. Compared with the genome background, 257 differentially expressed genes (DEGs) were identified in which 62 genes were downregulated and 195 genes were upregulated. Reverse transcription‑quantitative polymerase chain reaction was performed to validate the expression pattern of certain mRNAs. Gene ontology enrichment and KEGG analysis of mRNAs was conducted to identify the biological modules and pathological pathways associated with the DEGs. To the best of our knowledge, this is the first time study to investigate the differences in mRNA between patients with HCM and normal controls at the transcriptome level. The results of the study will contributed to the understanding of the important molecular mechanisms involved in HCM and aid the selection of key genes to investigate in the future.
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