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Building competency in adult congenital heart disease care: development of an international nursing curriculum
Simpson, M, Magon, A, Moons, P, Kovacs, A H, Thomet, C, Habibi, H, Burchill, L, Gatzoulis, M, Mores, B, Gombosova, A, Sillman, C, Magon, Arianna , Thomet, Corina , Habibi, Hajar , Burchill, Luke J. , Gatzoulis, Michael Α. , Mores, Benoit , Gombošová, Anežka, Sillman, Christina

European Journal of Cardiovascular Nursing | July 17, 2026 | Volume: 25 | Issue: Supplement_1 | Pages: No page available

10.1093/eurjcn/zvag155.112 Get It

Abstract Background Adults with congenital heart disease (ACHD) represent a rapidly expanding population with complex lifelong clinical and psychosocial needs. Nurses play a pivotal role within multidisciplinary ACHD care, yet internationally their education, scope of practice and professional preparation remain highly variable, with no globally agreed curriculum. This gap has limited role clarity, workforce development and international harmonisation of standards. The aim of this project was to develop the first dedicated, competency-based curriculum for ACHD nursing to support consistent, high-quality, patient-centred care worldwide. Methods An international, multidisciplinary working group led by the Association of Cardiovascular Nurses and Allied Professions of the European Society of Cardiology, in collaboration with the Working Group on Adult Congenital Heart Disease and the International Society for Adult Congenital Heart Disease, developed the curriculum through expert consensus. The development group included nurses, physicians, educators and individuals with lived experience of ACHD, ensuring patient perspectives were embedded throughout the process. Existing international guidance, professional frameworks and evidence on ACHD nursing practice were synthesised. The curriculum was structured around Entrustable Professional Activities (EPAs), mapped to the CanMEDS professional roles and designed to accommodate international variation in regulation, resources and scope of practice. Results The resulting curriculum defines core and specialist competencies across the ACHD lifespan, encompassing clinical care, transition, reproductive health, psychosocial support, prevention, advanced therapies, care coordination and research. EPAs specify required knowledge, skills, attitudes, assessment strategies and levels of entrustment, with a minimum standard for practice. The framework supports career progression from specialist to advanced practice roles and is adaptable for academic, workplace-based and continuing professional development contexts. Conclusions This curriculum represents the first internationally applicable, competency-based framework for ACHD nursing. By standardising expectations while allowing contextual flexibility, it strengthens role clarity, supports workforce development and promotes harmonised, high-quality ACHD care globally.
Cross-cohort analysis of expression and splicing quantitative trait loci in TOPMed
Blackwell, Thomas W., Kachuri, Linda , Castaldi, Peter J. , Cho, Michael H. , Christenson, Stephanie A. , Durda, Peter , Gabriel, Stacey , Hersh, Craig P. , Huntsman, Scott , Hwang, S.-J., Joehanes, Roby, Johnson, Mari , Li, Xingnan , Lin, Honghuang , Liu, Ching‐Ti , Liu, Yongmei , Mak, Angel C. Y. , Manichaikul, Ani , Paik, David T. , Saferali, Aabida , Smith, Joshua D. , Taylor, Kent D. , Wang, Jiongming , Weinstock, Joshua S. , Weiss, Jeffrey, Wheeler, Heather E. , Zhou, Ying , Zoellner, Sebastian, Mestroni, Luisa , Graw, Sharon , Taylor, Matthew R.G. , Ortega, Victor E. , Johnson, Craig , Gan, Weiniu , Abecasis, Gonçalo , Nickerson, Deborah A. , Ardlie, Kristin G., Woodruff, Prescott G. , Bowler, Russell P. , Meyers, Deborah A. , Reiner, Alex, Kooperberg, Charles , Ziv, Elad , Vasan, Ramachandran S. , Silverman, Edwin K. , Rich, Stephen S., Heard‐Costa, Nancy L. , Tang, Hua, Rotter, Jerome I. , Smith, Albert V. , Aguet, François, Scott, Laura J. , Raffield, Laura M. , Parker, Stephen C.J. , Abe, Namiko, Almasy, Laura, Ament, Seth, Anugu, Pramod, Auer, Paul, Avramopoulos, Dimitrios, Balasubramanian, Adithya, Barr, R. Graham, Barwick, Lucas, Beaty, Terri, Becker, Diane, Becker, Lewis, Beitelshees, Amber, Benos, Takis, Bezerra, Marcos, Bis, Joshua, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Bunting, Karen, Buth, Erin, Carey, Vincent, Carty, Cara, Casaburi, Richard, Chaffin, Mark, Chang, Christy, Chang, Yi-Cheng, Chavan, Sameer, Chen, Bo-Juen, Chen, Wei-Min, Choi, Seung Hoan, Chuang, Lee-Ming, Chung, Ren-Hua, Conomos, Matthew, Cornell, Elaine, Crandall, Carolyn, Crapo, James, Curtis, Jeffrey, Damcott, Coleen, David, Sean, Fuentes, Lisa de las, Vries, Paul de, Deka, Ranjan, DeMeo, Dawn, Devine, Scott, Dinh, Huyen, Doddapaneni, Harsha, Duan, Qing, Duggirala, Ravi, Eaton, Charles, Ekunwe, Lynette, Boueiz, Adel El, Emery, Leslie, Farber, Charles, Farek, Jesse, Franceschini, Nora, Frazar, Chris, Fu, Mao, Fullerton, Stephanie M., Fulton, Lucinda, Gao, Shanshan, Gao, Yan, Gass, Margery, Geiger, Heather, Ghosh, Auyon, Gignoux, Chris, Glahn, David, Gogarten, Stephanie, Gong, Da-Wei, Goring, Harald, Grine, Daniel, Gu, C. Charles, Guan, Yue, Hall, Michael, Han, Yi, Harris, Daniel, Heavner, Ben, Herrington, David, Hobbs, Brian, Hong, Elliott, Hoth, Karin, Hsiung, Chao (Agnes), Hu, Jianhong, Hung, Yi-Jen, Huston, Haley, Hwu, Chii Min, Jackson, Rebecca, Jain, Deepti, Johnsen, Jill, Johnston, Rich, Jones, Kimberly, Kessler, Michael, Khan, Alyna, Khan, Ziad, Kim, Wonji, Kimoff, John, Kinney, Greg, Kramer, Holly, Lange, Christoph, Lange, Ethan, Laurie, Cathy, Laurie, Cecelia, LeBoff, Meryl, Lee, Sandra, Lee, Wen-Jane, Levine, David, Lewis, Joshua, Li, Yun, Lin, Xihong, Liu, Simin, Liu, Yu, Make, Barry, Manning, Alisa, Manson, JoAnn, Martin, Lisa, Marton, Melissa, Mathai, Susan, May, Susanne, McArdle, Patrick, McDonald, Merry-Lynn, McFarland, Sean, McGoldrick, Daniel, McHugh, Caitlin, Mei, Hao, Meigs, James, Menon, Vipin, Min, Nancy, Moll, Matt, Momin, Zeineen, Montasser, May, Mychaleckyj, Josyf C, Naik, Rakhi, Naseri, Take, Natarajan, Pradeep, Nelson, Sarah C., Neltner, Bonnie, Nessner, Caitlin, Nkechinyere, Osuji, O'Connell, Jeff, O’Connor, Tim, Ochs-Balcom, Heather, Okwuonu, Geoffrey, Pankow, James, Parker, Cora, Peloso, Gina, Peralta, Juan Manuel, Perez, Marco, Perry, James, Peters, Ulrike, Phillips, Lawrence S, Pollin, Toni, Becker, Julia Powers, Boorgula, Meher Preethi, Psaty, Bruce, Qiao, Dandi, Rafaels, Nicholas, Rajendran, Mahitha, Rasmussen-Torvik, Laura, Ratan, Aakrosh, Reed, Robert, Regan, Elizabeth, Reupena, Muagututi‘a Sefuiva, Robillard, Rebecca, Roselli, Carolina, Ruczinski, Ingo, Runnels, Alexi, Russell, Pamela, Ryan, Kathleen, Sabino, Ester Cerdeira, Salimi, Shabnam, Salvi, Sejal, Salzberg, Steven, Sandow, Kevin, Santibanez, Jireh, Schwander, Karen, Sciurba, Frank, Sériès, Frédéric, Shetty, Amol, Shetty, Aniket, Silver, Brian, Skomro, Robert, Smith, Tanja, Smoller, Sylvia, Snively, Beverly, Stilp, Adrienne M., Storm, Garrett, Streeten, Elizabeth, Su, Jessica Lasky, Sung, Yun Ju, Sylvia, Jody, Szpiro, Adam, Taub, Margaret, Taylor, Simeon, Thornton, Timothy A., Threlkeld, Machiko, Tinker, Lesley, Tirschwell, David, Tiwari, Hemant, Tong, Catherine, Tsai, Michael, Vaidya, Dhananjay, Walker, Tarik, Wallace, Robert, Walts, Avram, Wang, Fei Fei, Wang, Heming, Watson, Karol, Watt, Jennifer, Weng, Lu-Chen, Wessel, Jennifer, Williams, Kayleen, Wilson, Carla, Wilson, James, Winterkorn, Lara, Wong, Quenna, Wu, Baojun, Xu, Huichun, Yanek, Lisa, Yang, Ivana, Zekavat, Seyedeh Maryam, Zhao, Snow Xueyan, Zhao, Wei, Zhu, Xiaofeng, Rich, Stephen S. , Pankow, James S. , Reiner, Alex P. , Aguet, François , Johnson, W. Craig , Ardlie, Kristin , Orchard, Peter , Kachuri, Linda , Castaldi, Peter J , Cho, Michael H , Christenson, Stephanie A , Durda, Peter , Hersh, Craig P , Huntsman, Scott , Hwang, Seungyong , Joehanes, Roby , Johnson, Mari , Li, Xingnan , Lin, Honghuang , Liu, Ching-Ti , Liu, Yongmei , Mak, Angel C Y , Manichaikul, Ani W , Paik, David T , Smith, Joshua D , Taylor, Kent D , Tracy, Russell P , Wang, Jiongming , Wang, Mingqiang , Weinstock, Joshua S , Weiss, Jeffrey , Wheeler, Heather E , Zhou, Ying , Zöllner, Sebastian , Wu, Joseph C , Mestroni, Luisa , Graw, Sharon , Taylor, Matthew R G , Ortega, Victor E , Johnson, W Craig , Gan, Weiniu , Gupta, Namrata , Ardlie, Kristin , Woodruff, Prescott G , Bowler, Russell P , Reiner, Alexander P , Kooperberg, Charles , Ziv, Elad , Vasan, Ramachandran S , Silverman, Edwin K , Rich, Stephen S , Heard-Costa, Nancy , Tang, Hua , Rotter, Jerome I , Smith, Albert V , Levy, Daniel , Aguet, François , Scott, Laura J , Raffield, Laura M , Parker, Stephen C J , Pankow, James S , Tracy, Russell P. , Wu, Joseph C. , Larson, Martin G. , Cupples, L. Adrienne , Abe, Namiko, Almasy, Laura, Ament, Seth, Anugu, Pramod, Auer, Paul, Avramopoulos, Dimitrios, Balasubramanian, Adithya, Barr, R. Graham, Barwick, Lucas, Beaty, Terri, Becker, Diane, Becker, Lewis, Beitelshees, Amber, Benos, Takis, Bezerra, Marcos, Bis, Joshua, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Bunting, Karen, Buth, Erin, Carey, Vincent, Carty, Cara, Casaburi, Richard, Chaffin, Mark, Chang, Christy, Chang, Yi-Cheng, Chavan, Sameer, Chen, Bo-Juen, Chen, Wei-Min, Choi, Seung Hoan , Chuang, Lee-Ming, Chung, Ren-Hua, Conomos, Matthew, Cornell, Elaine, Crandall, Carolyn, Crapo, James, Curtis, Jeffrey, Damcott, Coleen, David, Sean, Fuentes, Lisa de las, Vries, Paul de, Deka, Ranjan, DeMeo, Dawn, Devine, Scott, Dinh, Huyen, Doddapaneni, Harsha, Duan, Qing, Duggirala, Ravi, Eaton, Charles, Ekunwe, Lynette, Boueiz, Adel El, Emery, Leslie, Farber, Charles, Farek, Jesse, Franceschini, Nora, Frazar, Chris, Fu, Mao, Fullerton, Stephanie M., Fulton, Lucinda, Gao, Shanshan, Gao, Yan, Gass, Margery, Geiger, Heather, Ghosh, Auyon, Gignoux, Chris, Glahn, David, Gogarten, Stephanie, Gong, Da-Wei, Goring, Harald, Grine, Daniel, Gu, C. Charles, Guan, Yue, Hall, Michael, Han, Yi, Harris, Daniel, Heavner, Ben, Herrington, David, Hobbs, Brian, Hong, Elliott, Hoth, Karin, Hsiung, Chao (Agnes), Hu, Jianhong, Hung, Yi-Jen, Huston, Haley, Hwu, Chii Min, Jackson, Rebecca, Jain, Deepti, Johnsen, Jill, Johnston, Rich, Jones, Kimberly, Kessler, Michael, Khan, Alyna, Khan, Ziad, Kim, Wonji, Kimoff, John, Kinney, Greg, Kramer, Holly, Lange, Christoph, Lange, Ethan, Laurie, Cathy, Laurie, Cecelia, LeBoff, Meryl, Lee, Sandra, Lee, Wen-Jane, Levine, David, Lewis, Joshua, Li, Yun, Lin, Xihong, Liu, Simin, Liu, Yu, Make, Barry, Manning, Alisa, Manson, JoAnn, Martin, Lisa, Marton, Melissa, Mathai, Susan, May, Susanne, McArdle, Patrick, McDonald, Merry-Lynn, McFarland, Sean, McGoldrick, Daniel, McHugh, Caitlin, Mei, Hao, Meigs, James, Menon, Vipin, Min, Nancy, Moll, Matt, Momin, Zeineen, Montasser, May, Mychaleckyj, Josyf C, Naik, Rakhi, Naseri, Take, Natarajan, Pradeep, Nelson, Sarah C., Neltner, Bonnie, Nessner, Caitlin, Nkechinyere, Osuji, O'Connell, Jeff, O’Connor, Tim, Ochs-Balcom, Heather, Okwuonu, Geoffrey, Parker, Cora, Peloso, Gina, Peralta, Juan Manuel, Perez, Marco, Perry, James, Peters, Ulrike, Phillips, Lawrence S, Pollin, Toni, Becker, Julia Powers, Boorgula, Meher Preethi, Psaty, Bruce, Qiao, Dandi, Rafaels, Nicholas, Rajendran, Mahitha, Rasmussen-Torvik, Laura, Ratan, Aakrosh, Reed, Robert, Regan, Elizabeth, Reupena, Muagututi‘a Sefuiva, Robillard, Rebecca, Roselli, Carolina, Ruczinski, Ingo, Runnels, Alexi, Russell, Pamela, Ryan, Kathleen, Sabino, Ester Cerdeira, Salimi, Shabnam, Salvi, Sejal, Salzberg, Steven, Sandow, Kevin, Santibanez, Jireh, Schwander, Karen, Sciurba, Frank, Sériès, Frédéric , Shetty, Amol, Shetty, Aniket, Silver, Brian, Skomro, Robert, Smith, Tanja, Smoller, Sylvia, Snively, Beverly, Stilp, Adrienne M., Storm, Garrett, Streeten, Elizabeth, Su, Jessica Lasky, Sung, Yun Ju, Sylvia, Jody, Szpiro, Adam, Taub, Margaret, Taylor, Simeon, Thornton, Timothy A., Threlkeld, Machiko, Tinker, Lesley, Tirschwell, David, Tiwari, Hemant, Tong, Catherine, Tsai, Michael, Vaidya, Dhananjay, Walker, Tarik, Wallace, Robert, Walts, Avram, Wang, Fei Fei, Wang, Heming, Watson, Karol, Watt, Jennifer, Weng, Lu-Chen, Wessel, Jennifer, Williams, Kayleen, Wilson, Carla, Wilson, James, Winterkorn, Lara, Wong, Quenna, Wu, Baojun, Xu, Huichun, Yanek, Lisa, Yang, Ivana, Zekavat, Seyedeh Maryam, Zhao, Snow Xueyan, Zhao, Wei, Zhu, Xiaofeng

Science | July 16, 2026 | Volume: 393 | Issue: 6808 | Pages: No page available

10.1126/science.adx2989 | PMID 42462027 Get It

Most genetic variants associated with complex traits are hypothesized to regulate gene expression. To understand the genetics underlying gene expression variability, we characterized 14,324 RNA-sequencing samples from the Trans-Omics for Precision Medicine program and performed expression and splicing quantitative trait locus (e/sQTL) analyses in six tissues and cell types, including whole blood ( n = 6454) and lung ( n = 1291). We detected tens of thousands of secondary cis-e/sQTLs, showing that secondary cis-e/sQTL discovery remains unsaturated. We fine-mapped UK Biobank–derived genome-wide association study (GWAS) signals from 164 traits and identified e/sQTL colocalizations for 10,611 GWAS signals, including 7096 that colocalize with secondary e/sQTLs. Our results suggest that even larger e/sQTL analyses will uncover additional secondary e/sQTLs, further benefiting GWAS interpretation.
Comparing Regression Adjustment, Matching, and Inverse Probability Weights in Small Sub-Populations in the HIV SUCCESS Consortium: A Real-World Data Example
Kyle, Ryan P. , Heinke, Dominique, Napravnik, Sonia, Chander, Geetanjali, Baiers, Ross , Cachay, Edward, Kipke, Michele, Moore, Richard D., Mayer, Kenneth H., Parra, Luis, Fredericksen, Rob J., Reisner, Sari, Christopoulos, Katerina , Yendewa, George A., Baum, Marianna, Bamford, Laura, Kitahata, Mari M., Saag, Michael S. , Crane, Heidi M. , Whitney, Bridget M. , Baum, Marianna K. , Drumright, Lydia N , Delaney, Joseph A C , Baum, Marianna , Drumright, Lydia N. , Heinke, Dominique, Napravnik, Sonia , Chander, Geetanjali , Lesko, Catherine R. , Mustanski, Brian , Cachay, Edward R. , Kipke, Michele D. , Mayer, Kenneth, Parra, Luis, Reisner, Sari L. , Christopoulos, Katerina A. , Yendewa, George A. , Delaney, Joseph A.

Substance Use: Research and Treatment | July 16, 2026 | Volume: 20 | Issue: No issue available | Pages: No page available

10.1177/29768357261469399 | PMID 42491262 Get It

Objectives To understand the trade-offs between different statistical modeling approaches, using real world data with small sub-populations, with rare exposures and increasingly rare outcomes. In particular, to compare adjusted regression, inverse probability weighting, and matching. Methods Data for these analyses came from the RADAR (N=1,134) and combined CNICS/JHHCC (N=14,434) cohorts. We estimated prevalence ratios (PRs) for self-reported use of specific substances comparing subpopulations (SP), SP-1 vs SP-3 and SP-2 vs SP-3, where SP-1 was the largest proportion (92% in RADAR, 81% in CNICS/JHHCC), SP2 was moderate proportion (18% in CNICS/JHHCC) and SP-3 was the smallest proportion (8% in RADAR, 1% in CNICS/JHHCC) of the population. We calculated PRs using 1) unadjusted relative risk regression (RR); and adjusted estimates controlling for age, race/ethnicity, study site, and year of interview using: 2) standard adjustment in RR; 3) stabilized inverse probability of treatment weighting (IPTW); and 4) matching with up to 3 matches from SP-1 or SP-2 per SP-3 participant. Results For most substances, all methods yielded consistent estimates. There were large weights in some of the IPTW analyses and in three cases these resulted in substantially divergent estimates. For the comparison between SP-1 and SP-3, the estimate for smoking was 1.3-fold greater in the matched analysis (PR=1.33, 95% CI: 1.02-1.75) than in IPTW (PR=1.03, 95% CI: 0.78-1.37 ATE and PR=1.05, 95% CI: 0.88-1.26 ATT). Even more extreme divergence in estimates was observed for differences between SP-2 and SP-3 with respect to methamphetamine/amphetamine, (IPTW-ATE: PR=1.51, 95% CI: 0.79-2.89; IPTW-ATT: PR=2.36, 95% CI: 1.36-4.12); vs Matching: PR=2.71, 95%CI: 1.47-4.99) and cocaine (IPTW-ATE: PR=1.15, 95% CI: 0.55-2.38; IPTW-ATT: PR=1.81, 95% CI: 1.03-3.18); vs Matching: PR=1.38, 95%CI: 0.76-2.53). Conclusion The combination of a rare exposure and a rare outcome can produce challenges for commonly used confounding adjustment strategies, and it is often best to compare different modeling approaches to gain greater insight.
Computer vision mechanical QA: Development, characterization, and five years of clinical performance
Ger, Rachel B., Armstrong, Michael D., Robertson, Daniel , Robertson, Daniel G

Journal of Applied Clinical Medical Physics | July 16, 2026 | Volume: 27 | Issue: 7 | Pages: No page available

10.1002/acm2.70678 | PMID 42458885 Get It

Abstract Background Quality assurance (QA) in radiation therapy is a critical component of ensuring accurate and consistent patient treatments, but many tasks are time consuming and rely on human visual acuity, which limits their accuracy. Purpose We aimed to automate monthly mechanical QA tests, improve measurement accuracy and precision, and decrease inter‐user variability using a computer vision‐based quality assurance (CVQA) system. Methods A custom marker board incorporating four ArUco markers was created along with a custom camera holder that mounted onto the gantry head. OpenCV was utilized to automate tests for couch translation, collimator and table angles, collimator and table walkout, optical distance indicator (ODI), and field size detection. A GUI was created to guide users through the tests, determine passing status of measurements based on MPPG8.b criteria, and display image captures to allow users to troubleshoot if needed. Reproducibility tests were taken across four days. The system was tested against manual measurements by graph paper or digital level for each test. Field sizes and ODI were read by 12 different physicists to determine human variability and comparisons for CVQA. Results The CVQA system took 5 min to set up and 7 min to perform all tests. All field sizes, collimator/table angles, collimator/table walkout, and table translations were reproducible within 0.5 mm and 0.5°. ODI measurements were reproducible within 1 mm. Table travel, ODI, and walkout measurements agreed with manual measurements within 0.5 mm and 0.4°, except for vertical table motions that agreed within 0.9 mm due to the lens focus being optimized for the 100 cm SSD plane. The standard deviation between physicists for almost all symmetric and asymmetric jaws was larger than the reproducibility of CVQA. CVQA has been utilized for five years and has demonstrated ability to identify mechanical machine issues. Conclusions CVQA successfully automates mechanical QA tasks, providing an efficient and precise system. CVQA is open source and freely available for academic institutions. Its adoption can improve workflow efficiency and consistency in clinical environments.
Outcomes of Underwater Endoscopic Mucosal Resection for Giant Colorectal Polyps: A Multicenter Study
Karna, Rahul , Wilson, Natalie , Seid, Amir S, Larsen, Kaylee, Enke, Thomas , Hassam, Ali, Kumar, Anand R, Shah, Shawn L, Zhao, Joy, Choi, Alyssa Y, Issa, Danny, Saeed, Ahmed, Phan, Jennifer, Mosko, Jeffrey D, Dang, Frances, Westanmo, Anders, Reinink, Andrew, Samarasena, Jason B, Shaukat, Aasma, Mosko, Jeffrey D. , Bilal, Mohammad , Karna, Rahul , Larsen, Kaylee, Enke, Thomas , Choi, Alyssa Y. , Issa, Danny , Saeed, Ahmed, Phan, Jennifer, Dang, Frances , Westanmo, Anders , Reinink, Andrew R. , Samarasena, Jason , Shaukat, Aasma , Bilal, Mohammad , Wilson, Natalie

Endoscopy International Open | July 15, 2026 | Volume: 14 | Issue: CP | Pages: No page available

10.1055/a-2910-5182 | PMID 42592233 Get It

Abstract Introduction Underwater endoscopic mucosal resection (uEMR) technique has gained popularity for removal of large non-pedunculated colorectal polyps (LNPCPs) due to high en-bloc resection rates and lower recurrence rates. However, there is no information regarding outcomes of uEMR for giant colorectal polyps. Therefore, we aimed to evaluate the outcomes of uEMR for giant colorectal polyps across multiple centers in North America. Methods We conducted a multicenter retrospective study of adults with giant colorectal polyps undergoing uEMR between January 2019 and November 2025. Giant colorectal polyps were defined as LNPCPs ≥40 mm. Primary outcomes were technical success and rate of recurrent adenoma. Secondary outcomes were severe adverse events (SAEs) and predictors of technical success, recurrence, and SAEs. Results A total of 137 polyps, with mean polyp size 47.6 mm were included. Majority of the lesions were located in right colon (61%, n = 83) with the most common histopathology being high-grade dysplasia (HGD) (31.4%, n = 43). Technical success was achieved in 90.5% (n = 124) with en-bloc resection rate of 11.7% (n = 16). Polyp fibrosis (OR: 0.08) and HGD (OR: 0.15) were independent predictors of inability to achieve technical success. Of 92 (67.1%) patients with follow-up, recurrent polyp was present in 8.7% (n = 8). SAEs were noted in 9.5%, consisting of delayed bleeding (9.5%, n = 13), while no delayed perforation or post polypectomy syndrome was noted. Discussion Our study demonstrates that uEMR is technically feasible for the removal of giant colorectal polyps with an acceptable safety profile and recurrence rate.
Modifiable Risk Factors and Attributable Ischemic Heart Disease Mortality in US States, 1990-2023
Benziger, Catherine P., Stark, Benjamin A., Johnson, Catherine O., Roth, Gregory A., Collaborators, GBD 2023 US IHD, Abohashem, Shady, Ahmed, Syed Anees, Al-Aly, Ziyad, Alsabri, Mohammed A., Antony, Catherine M., Aravkin, Aleksandr Y., Areda, Demelash, Bell, Michelle L., Brauer, Michael, Chi, Gerald, Criqui, Michael H., Dai, Xiaochen, Doshi, Ojas Prakashbhai, Doshi, Rajkumar Prakashbhai, E’mar, Abdel Rahman, Elhadi, Muhammed, Göbölös, Laszlo, Haile, Demewoz, Hebert, Jeffrey J., Hemmati, Mehdi, Ibrahim, Ramzi, Kankam, Samuel Berchi, Kantar, Rami S., Khubchandani, Jagdish, Kim, Min Seo, Kimokoti, Ruth W., Kisa, Adnan, Kokkorakis, Michail, Kumar, Ashish, Liu, Xuefeng, Lv, Lei, Mahmoudi, Morteza, Manla, Yosef, Martinez-Piedra, Ramon, Marzouk, Sammer, Mensah, George A., Mestrovic, Tomislav, Miller, Ted R., Mokdad, Ali H., Mougin, Vincent, Mustafa, Ahmad, Nassar, Mahmoud, Natto, Zuhair S., Nugen, Fred, Parikh, Romil R., Pasovic, Maja, Patil, Shankargouda, Puvvula, Jagadeesh, Ramasamy, Shakthi Kumaran, Rashid, Ahmed Mustafa, Root, Kevin T., Sawhney, Monika, Schuermans, Art, Shariff, Mariam, Shuval, Kerem, Simegn, Gizeaddis Lamesgin, Singh, Rohit, Stafford, Lauryn K., Taiba, Jabeen, Tanwar, Manoj, Teramoto, Masayuki, Thirunavukkarasu, Sathish, Tran, Thang Huu, Uppal, Dipan, Vinayak, Manish, Yuce, Deniz, Murray, Christopher J. L., Moran, Andrew E., Kimokoti, Ruth W , Liu, Xuefeng , Nassar, Mahmoud , Singh, Rohit , Tanwar, Manoj , Yu, Hairui , Taiba, Jabeen , Benziger, Catherine P. , Stark, Benjamin, Johnson, Catherine O., Roth, Gregory A. , Collaborators, GBD, Abohashem, Shady , Al‐Aly, Ziyad , Antony, Catherine M, Aravkin, Aleksandr Y. , Areda, Demelash, Bräuer, Michael , Chi, Gerald , Criqui, Michael H. , Doshi, Ojas Prakashbhai , Doshi, Rajkumar , E’mar, Abdel Rahman, Elhadi, Muhammed, Göbölös, László , Haile, Demewoz , Hébert, Jeffrey J. , Hemmati, Mehdi , Ibrahim, Ramzi , Kankam, Samuel Berchi , Kantar, Rami S. , Khubchandani, Jagdish , Kısa, Adnan , Kokkorakis, Michail , Lv, Lei , Mahmoudi, Morteza , Manla, Yosef , Martínez, Ramón , Marzouk, Sammer , Mensah, George A. , Meštrović, Tomislav , Miller, Ted R. , Mokdad, Ali H. , Mougin, Vincent , Mustafa, Ahmad , Nassar, Mahmoud, Nugen, Fred , Pasovic, Maja , Puvvula, Jagadeesh , Rashid, Ahmed Mustafa , Root, Kevin T., Sawhney, Monika, Schuermans, Art , Shariff, Mariam , Shuval, Kerem , Simegn, Gizeaddis Lamesgin , Stafford, Lauryn K , Teramoto, Masayuki , Thirunavukkarasu, Sathish, Uppal, Dipan , Vinayak, Manish , Yuce, Deniz, Murray, Christopher J. L., Moran, Andrew Edward

JAMA Cardiology | July 15, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1001/jamacardio.2026.2435 | PMID 42455550 Get It

Importance Ischemic heart disease (IHD), the leading cause of death in the US, is predominantly due to modifiable risk factors. Estimates of IHD mortality attributable to risk factors provide evidence for health policy decision-making. Objective To estimate the burden of IHD death attributable to risk factors in the US from 1990-2023. Design, Setting, and Participants The Global Burden of Disease Study 2023 (GBD 2023) used vital records and a broad set of epidemiologic data to estimate IHD death rates, risk factor exposure, and relative risk curves for risk-outcome pairs for 1990-2023 for the general population. Data analysis was performed from October 2024 to December 2025. Exposure Twelve metabolic, behavioral, and environmental risk factors. Main Outcomes and Measures The primary outcomes were IHD death rates per 100 000 persons, counts, and attributable risks from 1990-2023 by age, sex, and US state. Estimates include 95% uncertainty intervals (UI). IHD death rates were estimated using ensemble modeling methods. Risk exposures were estimated using bayesian meta-regression methods. Relative risks were estimated following the Burden of Proof framework. Results In 2023, there were 473 000 IHD deaths (95% UI, 414 000-510 000) in the US, a decrease of 58.7% (95% UI, 56.8%-61.0%) in age-standardized rate since 1990. Between 2010 and 2023, there was a 19.0% decrease (95% UI, 15.0%-22.9%) for males and a 24.5% decrease (95% UI, 20.3%-29.7%) for females in IHD death rates. High systolic blood pressure (SBP), dietary risks, and high low-density lipoprotein cholesterol (LDL-C) were the leading risk factors for IHD deaths in 2023, accounting for 47.2% (95% UI, 36.4%-57.0%), 38.6% (95% UI, 17.2%-56.8%), and 28.5% (95% UI, 19.3%-39.6%) of IHD deaths, respectively. Increased exposure to several risk factors substantially increased their attributable burden for IHD deaths in 2023, with high fasting plasma glucose (FPG) increasing 38.8% (95% UI, 11.5%-81.1%) and high body mass index (BMI) increasing 54.5% (95% UI, 41.8%-66.3%) since 1990. Smoking and particulate matter pollution had the greatest decrease in attributable IHD mortality since 1990, at 33.3% (95% UI, 23.6%-41.7%) and 74.9% (95% UI, 46.7%-88.8%), respectively. Conclusion and Relevance Per the results of this systematic analysis of GBD 2023, a total of 88.7% (95% UI, 83.4%-92.5%) of IHD deaths were attributable to modifiable risk factors in the US in 2023, with high SBP, dietary risks, and high LDL-C being the greatest contributors. High BMI and high FPG showed the largest attribution increases, while exposure to other risks did not increase significantly for the population.
Minor stroke, major stakes: impact of procedure duration on thrombectomy outcomes in minor stroke
Kasem, Rahim Abo, Baba, Bachar El, Ma, Tianwen, Zelmanovich, Rebecca, Pabaney, Aqueel, Khelo, Roy Raheb, Giraudo, Francesca, Chandler, Katherine, Elawady, Sameh Samir, Chalhoub, Reda, Levitt, Michael R., Mascitelli, Justin, Cawley, Charles Michael, Akbik, Feras, Chisango, Zvipo, Wolfe, Stacey Quintero, Kim, Joon-Tae, Jabbour, Pascal, Yoshimura, Shinichi, Maier, Ilko, Ogilvy, Christopher S., Ezzeldin, Mohamad, Psychogios, Marios-Nikos, Siddiqui, Fazeel, Navia, Pedro, Goyal, Nitin, Arthur, Adam S., Romano, Daniele G., Fragata, Isabel, Daglioglu, Ergun, Altschul, David, Park, Min S., Crosa, Roberto, Brinjikji, Waleed, Moss, Mark, Dye, Justin, Alaraj, Ali, Kan, Peter, Limaye, Kaustubh, Mokin, Maxim, Starke, Robert M., Spiotta, Alejandro M., Grossberg, Jonathan A , Alawieh, Ali M., Kasem, Rahim Abo , Baba, Bachar El , Ma, Tianwen , Zelmanovich, Rebecca , Pabaney, Aqueel, Khelo, Roy Raheb , Giraudo, Francesca, Chacón-Aponte, Ariana Alejandra , Chandler, Katherine , Elawady, Sameh Samir , Howard, Brian M , Levitt, Michael R. , Grandhi, Ramesh , Mascitelli, Justin R , Cawley, Charles Michael, Akbik, Feras , Chisango, Zvipo Mutsa , Wolfe, Stacey Q , Kim, Joon‐Tae , Jabbour, Pascal , Maier, Ilko , Ogilvy, Christopher S. , Ezzeldin, Mohamad , Psychogios, Marios‐Nikos , Navía, Pedro , Goyal, Nitin , Arthur, Adam S., Romano, Daniele Giuseppe , Fragata, Isabel , Dağlıoğlu, Ergün , Altschul, David , Crosa, Roberto , Brinjikji, Waleed , Moss, Mark, Dye, Justin , Alaraj, Ali , Limaye, Kaustubh , Mokin, Maxim , Starke, Robert M. , Spiotta, Alejandro M , Alawieh, Ali

Journal of Neurosurgery | July 15, 2026 | Volume: No volume available | Issue: No issue available | Pages: 1-12

10.3171/2026.2.jns252558 | PMID 42468039 Get It

OBJECTIVE Endovascular thrombectomy (EVT) for acute large-vessel occlusion stroke is well established, yet its role in patients presenting with minor stroke symptoms (National Institutes of Health Stroke Scale [NIHSS] score < 6) remains unclear. Prior studies have not accounted for intraprocedural factors that may influence outcomes in this subgroup. METHODS The authors analyzed 5693 patients from the STAR (Stroke and Thrombectomy and Aneurysm Registry), including 398 with low NIHSS scores, to evaluate the association between procedure time (PT) and outcomes. Among patients with low NIHSS scores, propensity score matching was used to compare outcomes between those with PT ≤ 35 versus > 35 minutes, a cutoff defined using receiver operating characteristic curve analysis. The authors performed a meta-analysis of studies reporting best medical management (BMM) outcomes in patients with low NIHSS scores. To compare these with EVT-treated patients, a matched BMM comparator cohort using stratification on pooled baseline characteristics was constructed. Outcomes included 90-day functional independence (modified Rankin Scale [mRS] scores 0–2), intracranial hemorrhage, and mortality. RESULTS PT had a stronger negative effect on outcomes in patients with low NIHSS scores compared with those with high scores, with a steeper decline in functional independence per minute of PT (slope: –0.45% vs –0.21%; p = 0.03 for interaction). Among patients with low scores, PT ≤ 35 minutes was associated with higher 90-day functional independence compared with the propensity score–matching cohort with PT > 35 minutes (82.6% vs 59.0%, p < 0.001). When benchmarked against BMM (75.2% mRS scores 0–2), patients undergoing EVT within 35 minutes had superior outcomes (85.1%, p = 0.047). In contrast, EVT with PT > 35 minutes resulted in worse outcomes than BMM (mRS scores 0–2: 59.8%, p = 0.008). The number needed to treat for PT ≤ 35 minutes was 10, whereas PT > 35 minutes yielded a number needed to harm of 6. CONCLUSIONS PT critically modulates the benefit of EVT in minor stroke. While efficient EVT yields better outcomes than BMM, prolonged procedures are associated with harm. These findings may explain prior inconsistent evidence on EVT in patients with low NIHSS scores and underscore the need to individualize procedural thresholds in this population.
SpaceXray: Feasibility and Diagnostic Capabilities of On-Orbit Medical Radiography
Gifford, Sheyna E. , Pohlen, Michael , Wang, Adam S. , Lerner, David J. , Wadhwa, Anna , Cairnie, Michael, Walter, Jeanne, Karim, Karim S. , Tilley, Steven , Karnick, Amol , Rosenberg, Marissa A , Petersen, Lonnie G , Gifford, Sheyna E. , Pohlen, Michael , Lerner, David J. , Wadhwa, Anna , Cairnie, Michael, Walter, Jeanne, Karim, Karim S. , Tilley, Steven

Radiology | July 14, 2026 | Volume: 320 | Issue: 1 | Pages: No page available

10.1148/radiol.260258 | PMID 42446357 Get It

By acquiring the first human and equipment radiographs in space, this study demonstrated the feasibility of on-orbit radiography and expanded diagnostic capabilities for crew health and hardware evaluation.
The conducting airways before and after gender‐affirming hormone therapy in transgender individuals
Kipp, Shalaya , Ramsook, Andrew H. , Miller, Alex J., Bustos, Samyd S., Martinez‐Jorge, Jorys, Welch, Brian T., Ripoll, Juan G., Miller, Alex J. , Joyner, Michael J , Ramsook, Andrew H , Kipp, Shalaya , Bustos, Samyd S. , Martinez‐Jorge, Jorys, Welch, Brian T. , Ripoll, Juan G. , Joyner, Michael J.

Experimental Physiology | July 14, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1113/ep093927 | PMID 42446094 Get It

Abstract On average, females have smaller airways than males. The largest discrepancy in airway size occurs during puberty, when endogenous sex hormone concentrations diverge between males and females. Transgender individuals often use gender‐affirming hormone therapy (GAHT) to align physical characteristics with gender identity. It is unknown whether GAHT influences airway size (luminal area and length). We evaluated the large conducting airways before starting GAHT and while undergoing years of GAHT. This retrospective within‐subject study included 12 adult transgender individuals who underwent CT scanning before starting GAHT and again after ≥1 year of GAHT. For each transgender individual, we identified two matched cisgender controls (one male and one female) who also underwent two CT scans over a comparable time interval for longitudinal comparison. We used a three‐dimensional reconstruction of CT imaging to measure luminal areas. Within‐subject changes in airway size between scans were assessed using Student's paired t ‐tests in transgender individuals undergoing feminizing hormone therapy. Variance between scans was assessed using Levene's test. Pre‐scans occurred an average of 2.0 ± 3.1 years before beginning GAHT. Transgender persons were on GAHT for an average of 3.3 ± 1.7 years (range, 1.0 – 6.7 years) at their second scan. We found no significant differences in airway luminal cross‐sectional areas for transgender persons on feminizing hormone therapy. The variance in airway size change between scans was not statistically different between transgender individuals and control subjects. Our findings suggest that the size of large conducting airways might remain unchanged after a period (>1 year) on GAHT.