Tag: pubmed
Vital Statistics
Catheter Cardiovasc Interv. 2023 Jul 20. doi: 10.1002/ccd.30767. Online ahead of print.
ABSTRACT
BACKGROUND: Coronary artery disease (CAD) is a common finding in patients undergoing transcatheter aortic valve implantation (TAVI). However, its prognostic significance and its management remains controversial.
AIMS: This study sought to determine whether the presence of CAD, its complexity, and angiography-guided percutaneous coronary intervention (PCI) are associated with outcomes after TAVI.
METHODS: All patients undergoing TAVI at a tertiary referral center between 2008 and 2018 were included in a prospective observational study. Baseline SYNTAX (Synergy between PCI with Taxus and Cardiac Surgery) score (SS) and a residual SS after PCI were calculated. The endpoints on the 5 year follow-up were all-cause mortality and a composite of mayor cardiovascular adverse events (MACE).
RESULTS: In 379 patients, the presence of CAD and its complexity were not significantly associated with worse 5-year survival after TAVI, with a mortality for SS0 of 45%; for SS 1-22 of 36.5% (HR 0.77; 95% CI 0.53-1.11, p = 0.15) and for SS > 22 of 42.1% (HR 1.24; 95% CI 0.59-2.63, p = 0.57). Regarding the combined event of MACE, there were also no statistically significant differences between patients with CAD and without CAD (56.8% in patients without CAD and 54.9% in patients with CAD; HR 1.06; 95% CI 0.79-1.43, p = 0.7). Angiography-guided PCI or completeness of revascularization was not associated with different outcomes.
CONCLUSIONS: In the present analysis, neither the presence nor the extent of CAD, nor the degree of revascularization, was associated with a prognostic impact in patients undergoing TAVI at 5-year follow-up.
PMID:37471716 | DOI:10.1002/ccd.30767
Hum Brain Mapp. 2023 Jul 20. doi: 10.1002/hbm.26422. Online ahead of print.
ABSTRACT
Recent work within neuroimaging consortia have aimed to identify reproducible, and often subtle, brain signatures of psychiatric or neurological conditions. To allow for high-powered brain imaging analyses, it is often necessary to pool MR images that were acquired with different protocols across multiple scanners. Current retrospective harmonization techniques have shown promise in removing site-related image variation. However, most statistical approaches may over-correct for technical, scanning-related, variation as they cannot distinguish between confounded image-acquisition based variability and site-related population variability. Such statistical methods often require that datasets contain subjects or patient groups with similar clinical or demographic information to isolate the acquisition-based variability. To overcome this limitation, we consider site-related magnetic resonance (MR) imaging harmonization as a style transfer problem rather than a domain transfer problem. Using a fully unsupervised deep-learning framework based on a generative adversarial network (GAN), we show that MR images can be harmonized by inserting the style information encoded from a single reference image, without knowing their site/scanner labels a priori. We trained our model using data from five large-scale multisite datasets with varied demographics. Results demonstrated that our style-encoding model can harmonize MR images, and match intensity profiles, without relying on traveling subjects. This model also avoids the need to control for clinical, diagnostic, or demographic information. We highlight the effectiveness of our method for clinical research by comparing extracted cortical and subcortical features, brain-age estimates, and case-control effect sizes before and after the harmonization. We showed that our harmonization removed the site-related variances, while preserving the anatomical information and clinical meaningful patterns. We further demonstrated that with a diverse training set, our method successfully harmonized MR images collected from unseen scanners and protocols, suggesting a promising tool for ongoing collaborative studies. Source code is released in USC-IGC/style_transfer_harmonization (github.com).
PMID:37471702 | DOI:10.1002/hbm.26422
J Clin Oncol. 2023 Jul 20:JCO2300429. doi: 10.1200/JCO.23.00429. Online ahead of print.
ABSTRACT
PURPOSE: Patients with isolated distal deep vein thrombosis (DVT) have lower rates of adverse outcomes (death, venous thromboembolism [VTE] recurrence or major bleeding) than those with proximal DVT. It is uncertain if such findings are also observed in patients with cancer.
METHODS: Using data from the international Registro Informatizado de la Enfermedad TromboEmbolica venosa registry, we compared the risks of adverse outcomes at 90 days (adjusted odds ratio [aOR]; 95% CI) and 1 year (adjusted hazard ratio [aHR; 95% CI]) in 886 patients with cancer-associated distal DVT versus 5,196 patients with cancer-associated proximal DVT and 5,974 patients with non-cancer-associated distal DVT.
RESULTS: More than 90% of patients in each group were treated with anticoagulants for at least 90 days. At 90 days, the adjusted risks of death, VTE recurrence, or major bleeding were lower in patients with non-cancer-associated distal DVT than in patients with cancer-associated distal DVT (reference): aOR = 0.16 (0.11-0.22), aOR = 0.34 (0.22-0.54), and aOR = 0.47 (0.27-0.80), respectively. The results were similar at 1-year follow-up: aHR = 0.12 (0.09-0.15), aHR = 0.39 (0.28-0.55), and aHR = 0.51 (0.32-0.82), respectively. Risks of death, VTE recurrence, and major bleeding were not statistically different between patients with cancer-associated proximal versus distal DVT, both at 90 days: aOR = 1.11 (0.91-1.36), aOR = 1.10 (0.76-1.62), and aOR = 1.18 (0.76-1.83), respectively, and 1 year: aHR = 1.01 (0.89-1.15), aHR = 1.02 (0.76-1.35), and aHR = 1.10 (0.76-1.61), respectively. However, more patients with cancer-associated proximal DVT, compared with cancer-associated distal DVT, developed fatal pulmonary embolism (PE) during follow-up: The risk difference was 0.40% (95% CI, 0.23 to 0.58).
CONCLUSION: Cancer-associated distal DVT has serious and relatively comparable outcomes compared with cancer-associated proximal DVT. The lower risk of fatal PE from cancer-associated distal DVT needs further investigation.
PMID:37471683 | DOI:10.1200/JCO.23.00429
JMIR Form Res. 2023 Jul 20;7:e47851. doi: 10.2196/47851.
ABSTRACT
BACKGROUND: Breast cancer is the most common cancer in the United States and the second leading cause of death for American Indian women. American Indian women have lower rates of breast cancer screening than other racial groups, and disparities in breast cancer mortality and survival rates persist among them. To address this critical need, a culturally appropriate, accessible, and personalized intervention is necessary to promote breast cancer screening among American Indian women. This study used mobile health principles to develop a mobile web app-based mammogram intervention (wMammogram) for American Indian women in a remote, rural community in the Northern Plains.
OBJECTIVE: This study aimed to assess the feasibility and efficacy of the wMammogram intervention, which was designed to motivate American Indian women to undergo breast cancer screening, as compared with the control group, who received an educational brochure.
METHODS: Using community-based participatory research (CBPR) principles and a multipronged recruitment strategy in a randomized controlled trial design, we developed the wMammogram intervention. This study involved 122 American Indian women aged between 40 and 70 years, who were randomly assigned to either the intervention group (n=62) or the control group (n=60). Those in the intervention group received personalized and culturally appropriate messages through a mobile web app, while those in the control group received an educational brochure. We measured outcomes such as mammogram receipt, intention to receive breast cancer screening after the intervention, and participants’ satisfaction with and acceptance of the intervention.
RESULTS: A significantly higher proportion of women who received the wMammogram intervention (26/62, 42%; P=.009) completed mammograms by the 6-month follow-up than the control group (12/60, 20%). The wMammogram intervention group, compared with the control group, reported significantly higher ratings on perceived effectiveness of the intervention (t120=-5.22; P<.001), increase in knowledge (t120=-4.75; P<.001), and satisfaction with the intervention (t120=-3.61; P<.001). Moreover, compared with the brochure group, the intervention group expressed greater intention to receive a mammogram in the future when it is due (62/62, 100% vs 51/60, 85%) and were more willing to recommend the intervention they received to their friends (61/62, 98.4% vs 54/60, 90%) with statistically significant differences.
CONCLUSIONS: This study shows the feasibility and efficacy of the wMammogram intervention to promote breast cancer screening for American Indian women in a remote, rural community-based setting. Findings suggest that, with advancements in technology and the ubiquity of mobile devices, mobile web apps could serve as a valuable health intervention tool that builds upon low-cost technology and enhances accessibility and sustainability of preventive care to help reduce breast health disparities experienced in hard-to-reach American Indian populations.
TRIAL REGISTRATION: ClinicalTrials.gov NCT05530603; https://clinicaltrials.gov/ct2/show/NCT05530603.
PMID:37471115 | DOI:10.2196/47851