Citations

Clear

37 citation(s) found for "Velasco, A".

Global multicenter validation of noninvasive fibrosis assessment pathways in MetALD and ALD
Gu, Hyundam , Diaz, Luis Antonio, Baeza, Natalia, Idalsoaga, Francisco, Zheng, Ming‐Hua , Maiwall, Rakhi , Sarin, Shiv K., Kulkarni, Anand V., Ramyasri, Ramagundam, Tijera, Fátima Higuera de La, Pinto, Helena , Carvalhana, Sofia, Fernandes, Rita , Khan, Mohammad Qasim , Alazawi, William, Li, Wenhao, Temperley, Laura , Marti-Aguado, David, Gratacós-Ginès, Jordi, Montes, Pedro, Yip, Terry Cheuk‐Fung , Wong, Vincent Wai-Sun, Villela-Nogueira, Cristiane, Leite, Nathalie, Salles, Gil F. , Cardoso, Claudia Regina Lopes, Contreras, Daniza, Galimberti, Alceo, Bessone, Fernando, Valentin-Cortez, Francisco J , Mijangos-Trejo, Alejandra, Chavéz-Tapia, N, Simian, Daniela , Gil, Pamela, Mattos, Ângelo, Acuña, Johana , Araujo, Roberta Chaves, Ferraz, Igor Lima, Marrugo, Katherine, Torres, A , Torres, Juan Diego , Valdes, V., Córdova, Jacqueline, Mendizabal, Manual, Couto, Cláudia Alves , Cotter, Thomas G., Anouti, Ahmad , Rady, Elias D. , Patel, Sheel , Singal, Ashwani K., Parker, Richard, Ibrahim, Mohamad Ali , Jalal, Prasun K., Noureddin, Mazen, Alkhouri, Naim , Kamath, Patrick S. , Sanyal, Arun, Sterling, Richard K., Ajmera, Veeral, Loomba, Rohit, Arrese, Marco, Bataller, Ramón , Arab, Juan Pablo, Jalal, Prasun K , Cuyas, Berta , Cheuk-Fung Yip, Terry , Zheng, Ming-Hua , Díaz, Luis Antonio , Baeza, Natalia , Idalsoaga, Francisco , Zhou, Xiao-Dong , Sarin, Shiv Kumar , Kulkarni, Anand V., Ramyasri, Ramagundam, Carvalhana, Sofia , Alazawi, William , Li, Wenhao , Aguado, David Martí , Gratacós‐Ginès, Jordi , Pose, Elisa , Poca, María , Cuyàs, Berta , Barreyro, Fernando Javier , Ayares, Gustavo , Wong, Vincent Wai‐Sun , Wong, Grace Lai‐Hung , Lai, Jimmy Che‐To , Cardoso, Claudia R.L. , Velasco, J.A. Velarde-Ruiz , Galimberti, Alceo, Bessone, Fernando , Chávez-Tapia, Norberto Carlos , Ridruejo, Ezequiel , Peralta, Mirta , Roblero, Juan Pablo , El‐Kassas, Mohamed , Araújo, Roberta Chaves , Marrugo, Katherine , Mendizabal, Manuel , Cançado, Guilherme Grossi Lopes , Cotter, T G , Dahshi, Hamza , Singal, Ashwani K. , Pekarska, Katrīna , Jalal, Prasun K. , Castro-Narro, Graciela E , Noureddin, Mazen , Dunn, Winston , Sanyal, Arun J. , Sterling, Richard K. , Ajmera, Veeral , Loomba, Rohit , Arrese, Marco , Arab, Juan Pablo

Mayo Clinic

Hepatology Communications | July 28, 2026 | Volume: 10 | Issue: 8 | Pages: No page available

10.1097/hc9.0000000000001020 | PMID 42520161 Get It

Background: Noninvasive tests are well validated in metabolic dysfunction–associated steatotic liver disease, but evidence in metabolic dysfunction and alcohol-associated liver disease (MetALD) and alcohol-associated liver disease (ALD) is limited. We evaluated noninvasive test–based clinical care pathways for fibrosis risk stratification in MetALD and ALD. Methods: This is a multinational, multicenter, cross-sectional study across 35 centers in 16 countries (2013–2025), including adults with MetALD or ALD. Fibrosis was assessed by liver biopsy and/or vibration-controlled transient elastography (VCTE). In biopsy-proven participants, we analyzed the sequential pathway (Fibrosis-4 [FIB-4] first, followed by VCTE for indeterminate FIB-4) to identify advanced fibrosis (≥F3). Diagnostic accuracy was assessed using the AUC. Results: Among 893 participants (41.3% MetALD and 58.7% ALD), the median age was 52 [43.0–61.0] years, and 79.4% were male. The estimated prevalence of advanced fibrosis was 45% (32.2% in MetALD and 54.0% in ALD). Participants with MetALD had a more dysmetabolic profile but lower fibrosis stages than ALD. Among biopsy-proven participants, FIB-4 AUC was 0.720, and VCTE AUC was 0.833. FIB-4 performed better in MetALD than ALD (AUC 0.773 vs. 0.540), while VCTE accuracy was similar across groups. In the sequential pathways, the false-negative rate for advanced fibrosis (misclassified as low risk) was 6.8% (4.9% MetALD and 11.3% ALD). Conclusions: In biopsy-proven patients, FIB-4 performance was acceptable in MetALD but substantially weaker in ALD. The standard 2-step pathway performed adequately in MetALD but missed a clinically meaningful proportion of advanced fibrosis in ALD.
Exploring the interaction between metabolic dysfunction and alcohol-associated hepatitis: A global study
Cari, Vania , Pérez, María Ignacia , Tellez, Ignacio , Idalsoaga, Francisco, Valsan, Arun , Nair, Gowripriya , Soni, Kriti , Rhoads, S. Fisher , Arnold, Jorge , Ayala-Valverde, Maria, Ramirez-Cadiz, Carolina, Jalal, Prasun K., Ibrahim, Mohamad Ali , Elfeki, Mohamed A., Simian, Daniela , Córdova, Jacqueline, Higuera‐de‐la‐Tijera, Fátima , Silva, Rita, Rocha, Cristina Melo , Araujo, Roberta C., Fontani, Guilherme Massote, Pereira, Gustavo Henrique, Bessone, Fernando, Tanno, Mario, Kisch, Ayelen, Mendizabal, Manual, Marciano, Sebastian, Gomez-Perdiguero, Gonzalo, Montes, Pedro, Salazar, Patricia Guerra, Ramos, Geraldine, Chacko, Kristina R., Skladaný, Lubomir, Maiwall, Rakhi, SIMONETTO, DOUGLAS, Sanyal, A, Shah, Vijay H. , Singal, Ashwani K., Dunn, Winston, Kamath, Patrick S., Loomba, R, Arrese, Marco, Bataller, Ramon, Diaz, Luis Antonio, Arab, Juan Pablo, Elfeki, Mohamed A. , Perez, María I , Idalsoaga, Francisco , Ayala-Valverde, María , Ramirez-Cadiz, Carolina , Jalal, Prasun K , Ibrahim, Mohamad A , Elfeki, Mohamed A , Roblero, Juan P , Simian, Daniela , Velarde-Ruiz Velasco, José Antonio , Cordova-Gallardo, Jacqueline , Higuera-De La Tijera, Fatima , Silva, Rita , Fontani, Guilherme M , Bessone, Fernando , Mendizabal, Manuel , Marciano, Sebastián , Gomez-Perdiguero, Gonzalo , Montes, Pedro , Guerra Salazar, Patricia , Chacko, Kristina R , Simonetto, Douglas A , Sanyal, A J , Singal, Ashwani K , Dunn, Winston , Kamath, Patrick S , Loomba, Rohit , Bataller, Ramon A , Díaz, Luis A , Gormaz, Vania Cari, Téllez, Ignacio García, Idalsoaga, Francisco , Rhoads, Fisher, Ayala-Valverde, María , Jalal, Prasun K. , Roblero, Juan Pablo , Velasco, J.A. Velarde-Ruiz , Araújo, Roberta Chaves , Massote, Guilherme Fontanini, Pereira, Gustavo , Chacko, Kristina R. , Maiwall, Rakhi , Simonetto, Douglas A. , Sanyal, Arun J. , Singal, Ashwani K. , Dunn, Winston , Kamath, Patrick S. , Loomba, Rohit , Arrese, Marco , Díaz, Luis Antonio , Arab, Juan Pablo

Mayo Clinic

Hepatology | May 6, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1097/hep.0000000000001780 | PMID 42090455 Get It

Introduction: Although the role of cardiometabolic risk factors (CMRF) has been characterized in steatotic liver disease, their role in the severity of alcohol-associated hepatitis (AH) remains unclear. We aimed to evaluate the impact of CMRF on mortality. Methods: Multinational prospective cohort study (2015–2024) including hospitalized patients with severe AH across 32 centers in 14 countries. Diagnosis of AH was made using the NIAAA criteria. Analyses included adjusted competing-risk models by age, sex, ethnicity, history of cirrhosis, CMRF, corticosteroid use, MELD, and ACLF grade, with liver transplantation as a competing risk. Results: 936 participants were included; mean age 48±11.2 years, and 88.9% were male. At least one CMRF was present in 46.6%; median body mass index (BMI) was 24.2 kg/m 2 [IQR: 22.8–28.2], prevalence of diabetes 17.6%, hypertension 16.5%, and dyslipidemia 5.8%. Median MELD was 24.4 [19.3–31.4], 86.7% had severe AH, and 180-day survival was 72.9%. Survival did not differ by CMRF status (log-rank p =0.453). In adjusted competing-risk models, higher age (sHR 1.02; 95%CI:1.01–1.04), greater alcohol intake (per g/day; sHR 1.001; 95%CI:1.000–1.002), MELD (sHR 1.04; 95%CI:1.01–1.06), and ACLF grade 2–3 (sHR 2.34 and 4.34) predicted mortality. However, no individual CMRF independently increased mortality. A prespecified non-linear BMI analysis showed modestly lower mortality between 25–40 kg/m², with a higher risk above 40 kg/m². Conclusion: Among patients with severe AH, metabolic dysfunction was not associated with increased mortality. Although a higher BMI was associated with slightly lower mortality in AH, this may reflect better nutritional status rather than a true protective effect.
Machine Learning Models Using Hospital Admission Characteristics Do Not Optimally Predict Nosocomial Infection Development in a Global Cirrhosis Cohort
Silvey, Scott , Choudhury, Ashok , Kamath, Patrick S. , Wong, Florence , Hayes, P C, Seto, Wai‐Kay , Singhal, Garima, Jothimani, Dinesh , Asrani, Sumeet, Gadano, Adrián , Dinçer, Dinc , Adebayo, Daneille, Doyle, Adam, Debzi, Nabil , Shaw, Jawaid , Barutçu, Sezgin , Lah, Ponan Claude Regis, Duarte‐Rojo, Andrés , Turan, Dilara , Wang, Lei, Velazquez, René Malé, Aghayaeva, Sevda, Córdova-Gallardo, J, Xu, Bin, Gao, Haibing , Elangovan, Harendran, Fung, James, Rajorya, Neil, Wang, X I A O Y U, Katchman, Helena , Jiang, Yongfang, Thanapirom, Kessarin , Eapen, CE, Dhiman, Radha K. , Lu, Mingqin, Su, Minghua , Hueso, Sarai Gonzalez, Aberra, Hanna , Fisseha, Henok , Tan, Hiang Keat , Zhao, Caiyan , Zhang, Ningping, MacQuillan, Gerry, Pereira, Gustavo, Reddy, K. Rajender , Topazian, Mark, Torre, A Ullate De La, Silva, Mario, Bush, Brian J., Bajaj, Jasmohan S. , Chaudhary, Ashok , Xie, Qing , Wong, Florence , Arora, Umang , Gadano, Adrian , Dincer, Dinc , Velarde-Ruiz Velasco, José Antonio , Kulkarni, Anand V , Shaw, Jawaid , Desalgn, Hailemicheal , Bettinger, Dominik , Regis Lah, Ponan Claude , Duarte-Rojo, Andres , Turan, Dilara , Zheng, Xin , Demirtas, Coskun , Liu, Chenghai , Cordova-Gallardo, Jacqueline , Nagral, Aabha , Gao, Haibing , Katchmann, Helena , Praharaj, Dibyalochan , Mahadeva, Sanjiv , Eapen, C E , Dhiman, Radha K , Lu, Mingqin , Arrese, Marco , Su, Minghua , Hueso, Sarai Gonzalez , Aberra, Hanna , Fisseha, Henok , Tan, Hiang Keat , Zhao, Caiyan , Zhang, Ningping , Taneja, Sunil , Sonavane, Amey , Saraya, Anoop , Gofton, Cameron , Pereira, Gustavo , Rajender Reddy, K , Sarin, Shiv Kumar , Cao, Zhujun , Topazian, Mark D , Idilman, Ramazan , Torre, Aldo , George, Jacob , BUSH, BRIAN J. , Bajaj, Jasmohan S , Seto, Wai-Kay , Singhal, Garima, Asrani, Sumeet K. , Farias, Alberto Queiróz , Velasco, J.A. Velarde-Ruiz , Kulkarni, Anand V. , Desalegn, Hailemichael , Karasu, Zeki A. , Fung, James , Rajoriya, Neil , Zheng, Katina , Arrese, Marco , Zhu, Chuanwu , Taneja, Sunil , Aravinthan, Aloysious Dominic , MacQuillan, Gerry C., Idılman, Ramazan , George, Jacob , Alvares-da-Silva, Mario Reis

Mayo Clinic

American Journal of Gastroenterology | April 27, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.14309/ajg.0000000000004031 | PMID 42043180 Get It

INTRODUCTION: Nosocomial infections (NIs) in cirrhosis are associated with high mortality but could be preventable. Logistic regression (LR) models have failed to identify high-risk patients. We aimed to develop machine learning (ML) models to predict NI. METHODS: The CLEARED consortium consists of prospectively enrolled cirrhosis inpatients from >120 centers. Using day-of-admission clinical data, 3 ML approaches (random forest [RF], extreme gradient boosting, and neural networks [NNs]) were used to predict NI. Data were split 80:20 for training and testing stratified by the outcome. Models were compared using area under the receiver operating characteristic curve (AUC). RESULTS: In total, 8,263 patients (55.90 ± 13.34 years; 64.1% men) from 127 centers in 37 countries were included. NI developed in 869 (10.5%), a median of 6 (4–11) days of postadmission. Major NIs were respiratory (29.6%) and urinary tract infection (15.7%), and spontaneous bacterial peritonitis (13.5%). NIs occurred more frequently in patients from low/low-middle income countries and those with severe liver disease, alcohol etiology, and admission infections. NIs were associated with inpatient mortality (31.9% vs 8.1%, P < 0.001) and liver transplantation (4.8% vs 1.9%, P < 0.001). Although the RF model (AUC 0.69) showed good calibration (Brier score 0.09), outperforming extreme gradient boosting, neural network, and LR models (AUC 0.66 for all; LR comparison P = 0.043), no model achieved AUC ≥0.80 for clinical utility. At 10% predicted probability threshold, the RF model demonstrated only 75.4% sensitivity, 52.9% specificity, and 15.9% positive predictive value (PPV). DISCUSSION: NIs cannot be accurately predicted from day-of-admission data using ML models, even in a large, prospective, global cirrhosis cohort. Every hospitalized patient with cirrhosis should receive protocolized infection control measures.
Stroke and systemic embolism following atrial fibrillation ablation: the EMBOL-AF Global Registry
Castrejón-Castrejón, Sergio , Heeger, Christian-Hendrik H., Veltmann, Christian, Schaack, David , Nies, Moritz , Gunawardene, Melanie , Steven, Daniel , Tscholl, Verena , Roten, Laurent, Sommer, Philipp, Spartalis, Michael , Seitz, Julien , Kistler, Peter M, Chen, Minglong, Wang, Q , Munoz, Freddy Del-Carpio, Wijnmaalen, Adrianus P. , Moreno, Javier , Albarrán-Rincón, Ramón, Sanders, Prashanthan, Blessberger, Hermann , Laredo, Mikaël, Krahnefeld, Olaf , Pernat, Andrej , Aro, Aapo L. , Martinez, Eduardo Castellanos, Scazzuso, Fernando , Neven, Kars , Yorgun, Hikmet , Natale, Andrea, Joung, Boyoung, Wichterle, Dan, Cay, Serkan, Andorin, Antoine , Kato, Hiroyuki, Carnero, Guillermo, Maciąg, Aleksander, Garkina, S. V. , Deharo, Jean-Claude, Sadek, Mouhannad M, Iwasaki, Yu-ki, Beiert, Thomas , Choi, Eue-Keun, Kojic, D, Bergau, Leonard, Lellouche, N, Cortés, Luis Arabia, Camargo, Juan Manuel, Inaba, Osamu, Szegedi, Nándor , Piccini, Jonathan P., Marijon, Eloi, Mazurek, M , Sandgaard, Niels C F, Francke, Alexander , Schumacher, Burghard, Sánchez, Christian David Adams, Garcia-Izquierdo, E G I Eusebio, Guerra, Jose M., Aboulmaaty, Mervat , Jansen, Henning , Metzner, Andreas , García, Cecilia Zapata , Chun, J. K. R., Merino, José L, investigators, The EMBOL-AF, Benkouar, Riad, Abello, Maurício, Aguinaga, Luis, Correa, Mariel Alvarez , Estrada, Alejandro , Figueroa, Jorge, López, Leonardo Guido, Mondragón, Ignacio, Hovakimyan, Tatevik , Kalman, Jonathan, Maisels, Leonid, Kistler, Bruno Scardamaglia, Crowley, Rose , Steinwender, Clemens , Kousta, Mary, Scherr, Daniel, Goelly, Katharina Ingrid, Rocca, Domenico Giovanni Della, Potter, Tom J R De, Boškić, Mario, D’Avila, Andre, Guimarães, Henrique Cerqueira , Slater, Charles , Saad, Eduardo, Marchov, D. , Ayala-Paredes, Félix Alejandro, Glover, Benedict, Khaykin, Yaariv, Silva, Armando Pérez, Salvatici, Luis Quiñiñir, Li, Mingfang, Yao, Yan, Zhou, Li , Yi, Fu, Zeng, Rui, Molano, Luis Fernando Pava, Velasco, Víctor Manuel, Ramírez, Santiago Giraldo , Morales, Luis Carlos Saenz, Radeljić, Vjekoslav , Larsen, Jacob Moesgaard, Jacobsen, Peter Karl, Liñero, Mikel, Patete, Manuel , Hallon, Luis, Rivadeneira, José Llorente, Moustafa, Ahmed, Botros, Michael Sobhy, Minois, Damien , Anselme, Frédéric, Bakouboula, Babé, Schaaf, Mathieu , Boveda, Serge, Richard-Vitton, Robin, Détis, Nicolas, Fauchier, Laurent, Pierre, Bertrand , García, Rodrigue, Degand, Bruno , Salaün, Alexandre, Gandjbakhch, Estelle, Martins, Raphael, Maury, Philippe, Milhem, Antoine , Arnaout, Alain Al, Pavin, Dominique , Piot, Olivier, Ballatore, Andrea, Zhao, Alexandre , Papiashvili, Giorgi , Rekvava, Roin , Avranas, Konstantinos, Eckardt, Lars, Forkmann, Mathias , Busch, Sonia, Harloff, Tim, Halbfass, Philipp, Hilss, Karen Anja, Kaufmann, Jan , Thilotray, Christian, Poley, Phillip, Küchler, Mirco , Tilz, Roland Richard, Maslova, Vera , Lian, Evgeny, Füting, Anna , Letsas, Konstantinos P., Papakonstatinou, Panteleimon, Tzeis, Stylianos, Geller, Laszlo, Narasimhan, Calambur, Koduri, Venkata Krishna Chaitanya, Ghosh, Anindya, Lubis, Anggia Chairuddin , Emkanjoo, Zahra , Eslami, Masoud, Conti, Sergio, Perrotta, Laura , Pieragnoli, Paolo , Poggi, Sara, Ruggiero, Donatella, Aurino, L, Russo, Vicenzo, Hashiguchi, Naotaka , SHIMIZU, Wataru, Yodogawa, Kenji , Suga, Kazumasa , Yamaguchi, Takanori, Bakytzhanuly, Abay, Dussekeyeva, Gulnoza, Dehkhanova, Shakhnoza, Kupics, Kaspars, Jubele, Kristine, Refaat, Marwan M, Ghazawi, Alaaeddine El, Sammut, Mark A, Márquez-Murillo, Manlio F., Rogel-Martínez, Ulises, Nolasco, Karla Bozada, Khurelbaatar, Mungun-Ulzii, Dagdan, Batnaran, Kooijman, Edwin, Martin, Andrew, Kiliszek, Marek, Kulakowski, Piotr, Żuk, Anna , Lebreiro, Ana , Diaz, Nuno Cortez, Cozma, Dragos, Grecu, Mihaela, Rudzik, Roxana, Sipos, Sergiu, Vatasescu, Radu, Lebedev, Dmitry, Lee, So-Ryoung, Kim, Daehoon, Luque, Miguel Amores , Arenal, Ángel, Alonso, Pablo Ávila , Sanchez, Antonio Berruezo, Cabanas-Grandío, Pilar, Cózar-León, Rocío, Díaz-Infante, Ernesto, Fernández-Armenta, Juan, Fernández-Gómez, Juan Manuel, Jaén, Eusebio García-Izquierdo , García-Olea, Alain, Gaztañaga, Larraitz , Guasch, E, Criado, José Luis Ibáñez, Garrido, Beatriz Jáuregui, Sierra, Cristina Martin, Osca, Joaquin, Castellano, Nicasio Pérez, Ocete, Blanca Quesada, Rivas-Gándara, Nuria, Rubio-Campal, José Manuel, Brotons, J.A. Sánchez, Sánchez-Somonte, Paula, Segura, Jose Maria, Segura-Villalobos, Federico, Hernández, Pablo Ruiz, Soria, Laura Valverde , Fengsrud, Espen, Reichlin, Tobias, Krisai, Philipp, Tramèr, Lucas, Ngarmukos, Tachapong , Trines, Serge A., Mulder, Bart A. , İhtisas, Yüksek, Yilancioğlu, Yiğit, Şahin, Durmuş Yıldıray , Yalin, Kivanc, Yalman, Hakan , Aytemir, Kudret, Martin, Claire A , Zeriouh, Sarah , Abbas, Mohamed Magdi, Chamoun, Nadia , Bsoul, Mayana, Mohanty, Sanghamitra, Uzokov, Jamol, Benchetrit, Chamia, Choi, Jong‐Il , Joung, Boyoung , Roten, Laurent , Del-Carpio Munoz, Freddy , Sanders, Prashanthan , Sticherling, Christian , Joung, Boyoung , Wichterle, Dan , Cay, Serkan , Kato, Hiroyuki , Deharo, Jean Claude , Choi, Eue-Keun , Bergau, Leonard , Lellouche, Nicolas , Marijon, Eloi , Ramos Jiménez, Javier , Metzner, Andreas , Pürerfellner, Helmut , Merino, Jose L , Heeger, Christian-Hendrik H. , Veltmann, Christian , Sommer, Philipp , Kistler, Peter M. , Chen, Ming-Long , Munoz, Freddy Del‐Carpio , Albarrán‐Rincón, Ramón , Sanders, Prashanthan , Laredo, Mikael , Guénancia, Charles , Natale, Andrea , Almorad, Alexandre , Ruwald, Martin H , Carnero, Guillermo A. , Deharo, Jean‐Claude , Sadek, Mouhannad M. , Iwasaki, Yu‐ki , Choi, Eue‐Keun , Kojić, Dejan , Sousa, João de , Bergau, Leonard , Inaba, Osamu , Piccini, Jonathan P. , Marijon, Éloi , Sandgaard, Niels C. F. , Stiles, Martin K. , García‐Izquierdo, Eusebio, Ares, Gerardo Ruiz , Aguinaga, Luis, Munawar, Dian Andina , Puvrez, Alexis , Gölly, Katharina Ingrid , Rocca, Domenico G. Della , Begić, Edin , d'Avila, Andre, Guimaraes, Henrique, Saad, Eduardo , Dzhinsov, Krasimir R. , TRAYKOV, VASSIL BORISLAVOV , Paredes, Felix Ayala , Glover, Benedict , Macle, Laurent , Khaykin, Yaariv , Pérez-Silva, Armando , Díaz, Juan Carlos , Giraldo-Ramírez, Santiago, Morales, Luis C. Sàenz, Đula, Kristijan , Peichl, Petr , Larsen, Jacob Moesgaard , Jacobsen, Peter Karl , Hallon, Luis A., Rivadeneira, José Elizardo Llorente , Botros, Michael, Anselme, Frédéric , Chaumont, Corentin , Bakouboula, Babé , Bovéda, Serge , Richard-Vitton, Robin , Boulé, Stéphane , Fauchier, Laurent , Garcia, Rodrigue , Salaun, Alexandre, Gandjbakhch, Estelle , Martins, Raphaël P. , Maury, Philippe , Beneyto, Maxime M , Piot, Olivier , Ballatore, Andrea , Asbach, Stefan , Avranas, Konstantinos, Didenko, Maxim , Eckardt, Lars , Harloff, Tim , Halbfaß, Philipp , Tilz, Roland Richard , Lian, Evgeny, Sohns, Christian , Lüker, Jakob , Zabel, Markus , Letsas, Κonstantinos P. , Leventopoulos, Georgios , Tzeis, Stylianos , Kupó, Péter , Geller, Laszlo A. , Narasimhan, Calambur, Pandurangi, Ulhas M. , Ghosh, Anindya , Haim, Moti , Konstantino, Yuval , Barletta, Valentina , Cipolletta, Laura , Conti, Sergio , Sgarito, Giuseppe A. , Poggi, Sara , Ruggiero, Donatella , Ejima, Koichiro , Shimizu, Wataru, Kato, Hiroyuki, Abdrakhmanov, Ayan Suleimenovich , Bakytzhanuly, A, Kupics, Kaspars , Jubele, Kristīne , Refaat, Marwan M., Ghazawi, Alaaeddine El , Sammut, Mark Adrian , Rojel-Martínez, Ulises, Bozada-Nolasco, Karla I., Denysiuk, Piotr , Farkowski, Michał M. , Futyma, Piotr , Zarębski, Łukasz , Kiliszek, Marek , Kulakowski, Piotr , Lenarczyk, Radosław , Miśkowiec, Dawid Łukasz , Sousa, Pedro , Grecu, Mihaela, Arenal, Ángel , Cabanas‐Grandío, Pilar , León, Rocío Cózar , Dı́az-Infante, Ernesto , Fernandez-Armenta, Juan, Olea, Alain García, Guasch, Eduard , Ibáñez, José Luis , Garrido, Beatriz Jáuregui, Osca, Joaquín , Rivas‐Gándara, Nuria , Campal, J M Rubio, Sánchez-Somonte, Paula , Segura, José María, Fengsrud, Espen , Bergonti, Marco , Reichlin, Tobias , Krisai, Philipp , Tramèr, Lucas , Trines, Serge A.I.P. , Özkan, Eyüp , Özcan, Emin Evren , Yılancıoğlu, Yiğit, Yalın, Kıvanç , Aytemir, Kudret , Abbas, Mohamed Magdy, Akoum, Nazem , Bsoul, Mayana , Mohanty, Sanghamitra

Mayo Clinic

European Heart Journal | March 31, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1093/eurheartj/ehag217 | PMID 41914181 Get It

Abstract Background and Aims Stroke and systemic embolism are recognized but poorly characterized complications of atrial fibrillation (AF) and left atrial flutter (AFL) catheter ablation. Their incidence, outcomes, and procedural associations remain insufficiently defined. Methods Retrospective global registry was initiated by the European Heart Rhythm Association Scientific Committee. A secure database captured data from ablation centres worldwide on general AF and left AFL ablation activity, as well as detailed information on patients with symptomatic embolic events between 2017 and 2024. Results Overall, 204 centres reported 335 743 ablation procedures and 550 embolic events (incidence 0.16%). Centre-level rate ranged from 0% to 3.1%. Most events were cerebral (94%), followed by peripheral (5%), and combined (1%). Coronary air embolism accounted for 62% of all peripheral events. Intraprocedural events occurred in 93 patients (17%), within 72 h in 357 (78%) and beyond 72 h in 100 (22%); 128 cases (23%) were diagnosed after hospital discharge. Nonparoxysmal AF (0.23% vs 0.15%; P &lt; .001), centre experience, and ablation energy source (radiofrequency, 0.16%; cryoballoon, 0.16%; pulsed field ablation, 0.25%; laserballoon, 0.88%; P &lt; .001) were associated with embolic risk. Median NIHSS score after stroke was 4 (interquartile range, 2–9). Three-month follow-up was available for 518 patients with embolism (95%): 181 (35%) had sequelae and 16 (3%) died. Conclusions Symptomatic embolic events are infrequent but associated with significant morbidity and mortality. Most events occur early, though a substantial proportion arise later. Higher event rates were observed with laser and possibly with pulsed field ablation. A greater centre experience was associated with a lower embolism incidence.
Molecular-Based Ecosystem to Improve Personalized Medicine in Chronic Myelomonocytic Leukemia
Lanino, Luca , Hunter, Anthony M. , Gagelmann, Nico, Robin, M., Dall'Olio, Daniele , Flamigni, Alice, Gurnari, Carmelo, Wang, Yu‐Hung , Pleyer, Lisa , Xicoy, B., Montalban-Bravo, Guillermo, Shih, Lee-Yung, Alsugair, Ali, Gregorio, Caterina, Platzbecker, Anne Sophie, Sallman, David A., Fariselli, Piero, Garcia-Manero, Guillermo, Platzbecker, U, Solé, Francesc Gessé, Díez-Campelo, María, Maciejewski, Jaroslaw, Bejar, Rafael, Thol, Felicitas, Kroger, N., Fenaux, Pierre, Sanz, G. F., Kordasti, S., Santini, Valeria, Zeidan, Amer M., Komrokji, Rami S., Haferlach, Torsten, Germing, Ulrich, Castellani, Gastone, D'Amico, Saverio, Patnaik, M., Ieva, F., Tefferi, Ayalew, Padron, Eric , Porta, Matteo Giovanni Della, Alliance, for the iCPSS, Haque, Tamanna, Abdel-Wahab, Omar, Geissler, Klaus, Bataller, Alex, Bazinet, Alexandre , Meggendorfer, Manja , Quintavalla, Mirco, Bruseghini, Alessandro , Carota, Luciana , Dall'Olio, Lorenzo, Travaglino, Erica , Zamora, Lurdes López, Quintela, David, Jerez, Andrés , Cornejo, Elena, Martín, Paloma García, Díaz-Beyá, Marina, Pita, Alejandro Avendano, Roldán, Verónica , Suarez, Dolly Viviana Fiallo, Velasco, Estefania Cerezo, Calabuig, Marisa , Such, Esperanza, Castilla-Llorente, Cristina, Bulabois, Claude Eric, Souchet, Laëtitia, Bernardi, Massimo, Chiusolo, Patrizia, Borin, Lorenza, Follo, Matilde Yung, Consagra, Angela , Passamonti, Francesco, Diral, Elisa , Vucinic, Vladan, Bergonzi, Gregorio Maria , Hou, Hsin-An, Russo, Antonio, Tentori, Cristina Astrid , Buizza, Alessandro , Ferrari, Ivan, Matteo, Maria Di, Crespi, Alessandra, Figini, Giulia , Delponte, Camilla, Zampini, Matteo, Riva, Elena, Delleani, Mattia , Iascone, Eleonora, Ficara, Francesca , Ventura, Denise, Pinocchio, Nicole, Santoro, Armando, Kiwan, Ahmad , Ali, Najla H. Al, Zeidan, Amer M. , Robin, Marie , Dall’Olio, Daniele , Riva, Elena , Gagelmann, Nico , Robin, Marie , Sala, Claudia , Gurnari, Carmelo , Wang, Yu-Hung , Shih, Lee‐Yung , Alsugair, Ali , Fathima, Saubia , Gregorio, Caterina , Rollo, Cesare , Platzbecker, Anne Sophie , Asti, Gianluca , Itzykson, Raphael , Sallman, David A , Fariselli, Piero , Kern, Wolfgang , Garcia-Manero, Guillermo , Platzbecker, Uwe , Solé, Francesc , Diez-Campelo, Maria , Maciejewski, Jaroslaw P , Bejar, Rafael , Thol, Felicitas , Savona, Michael R , Sanz, Guillermo F , Kordasti, Shahram , Santini, Valeria , Zeidan, Amer M , Komrokji, Rami S , Castellani, Gastone , D'Amico, Saverio , Patnaik, Mrinal , Ieva, Francesca , Solary, Eric , Padron, Eric , Della Porta, Matteo Giovanni , Buizza, Alessandro , Ficara, Francesca , Lanino, Luca , Gagelmann, Nico , Gurnari, Carmelo , Xicoy, Blanca , Montalban‐Bravo, Guillermo , Fathima, Saubia , Gregorio, Caterina , Palomo, Laura , Itzykson, Raphaël , Sallman, David A. , Kern, Wolfgang , Garcia‐Manero, Guillermo , Platzbecker, Uwe , Solé, Françesc , Díez‐Campelo, María , Thol, Felicitas , Kröger, Nicolaus , Savona, Michael R. , Fenaux, Pierre , Sanz, Guillermo , Santini, Valeria , Fontenay, Michaëla , Komrokji, Rami S. , Haferlach, Torsten , Germing, Ulrich , Solary, Éric , Tefferi, Ayalew , Haque, Tamanna , Bataller, Alex , Sauta, Elisabetta , Sanavia, Tiziana , Dall'Olio, Lorenzo, Díaz‐Beyá, Marina , Roldan, Veronica, Fiallo, Dolly Viviana , Such, Esperanza , Castilla‐Llorente, Cristina , Bulabois, Claude‐Eric , Awada, Hussein , Chiusolo, Patrizia , Curti, Antonio , Giaccone, Luisa , Finelli, Carlo , Casetti, Ilaria Carola , Onida, Francesco , Passamonti, Francesco , Vučinić, Vladan , Voso, Maria Teresa , Hou, Hsin-An, Chou, Wen‐Chien , Yao, Chi‐Yuan , Lin, Chien‐Chin , Tien, Hwei‐Fang , Campagna, Alessia , Ubezio, Marta , Todisco, Gabriele , Maggioni, Giulia , Matteo, Maria Di, Pesce, Francesco , Zampini, Matteo , Crisafulli, Laura , Ventura, Denise , Pinocchio, Nicole , Brindisi, Matteo , VanOudenhove, Jennifer , Ali, Najla H. Al, Graubert, Timothy Aaron , Thota, Swapna , Griffiths, Elizabeth A.

Mayo Clinic

Journal of Clinical Oncology | March 27, 2026 | Volume: 44 | Issue: 17 | Pages: 1608-1623

10.1200/jco-25-02116 | PMID 41894646 Get It

PURPOSE Chronic myelomonocytic leukemia (CMML) is a rare myeloid neoplasm characterized by clinical heterogeneity and is associated with poor outcomes. To date, limited molecular information has been incorporated into disease classification and risk stratification. We aimed to integrate genomic features into the clinical decision-making process for CMML. PATIENTS AND METHODS We analyzed a retrospective cohort of 3013 patients with CMML (training set) and a prospective population of 516 patients (validation set). Using an innovative framework for multimodal data analysis, we developed molecular-based disease taxonomy and prognostication. RESULTS Unsupervised clustering identified nine entities with distinct genomic features and outcomes ( P < .001), including splicing machinery, transcription factors, signal transduction and tyrosine kinase pathways aberrations, and high-risk molecular signatures. Notably, 15% of patients showed molecular/clinical overlap with other myeloid neoplasms. We integrated molecular and clinical information to build the international CMML Prognostic Scoring System (iCPSS), incorporating mutations in nine genes together with hematologic parameters and cytogenetic abnormalities. The iCPSS identified five groups with distinct probability of overall and leukemia-free survival in both training and validation cohorts ( P < .001), outperforming existing prognostic models. Importantly, 55% of patients were reassigned to higher or lower risk groups by the iCPSS. Decision analysis demonstrated that iCPSS could refine the optimal timing of allogeneic transplantation at the individual level; compared with conventional prognostic tools, iCPSS-based decision modeling changed transplantation strategy in 31% of cases, resulting in a significant gain-in-life expectancy for eligible patient population ( P < .001). A federated learning platform was implemented to enable continuous, privacy-preserving model update across multiple centers. CONCLUSION Molecular information improves CMML classification and prognostication, supports more effective clinical decision making, and potentially refines the design of clinical trials.
2026 Latin American consensus for the management of patients with hypertension and cardio-renal and metabolic disturbances: endorsed by the Latin American Society of Hypertension, the Iberoamerican Hypertension League, and the World Hypertension League
Coca, António , Sanchez, Ramiro , Salazar, Dora I. Molina De, Peñaherrera, Ernesto , Alcocer, Luis, Barbosa, Eduardo, Grassi, Guido, Lopez-Jaramillo, Patricio, Lurbe, E, Parra-Carrillo, José, Ramírez, Agustín, Redón, Josep, Sebba-Barroso, Weimar, Acosta, Andres, Aristizábal, Dagnóvar, Bryce, Alfonso, Cerezo, Gustavo, COHEN, RICARDO V., Diaz-Velasco, Margarita E., Hernández, Rafael, Lanas, Fernando, Machado, Livia, Musso, Carla, Piskorz, Daniel, Ponte-Negreti, Carlos I., Ramos, Olga, Sánchez, María J., Valdez, Osiris, Vicario, Augusto, Villar, Raul, Parati, Gianfranco, Whelton, Paul K., Wyss, Fernando, Mancia, Giuseppe, SALAZAR, DORA INES MOLINA DE, Grassi, Guido M. , López‐Jaramillo, Patricio , Lurbe, Empar , Parra-Carrillo, José Z., Redón, Josep , Sebba-Barroso, Weimar K., Cerezo, Gustavo Hernán, COHEN, RICARDO VITOR , Diaz-Velazco, Margarita E., Hernández, Rafael Hernández, Laņas, Fernando , Piskorz, Daniel , Ponte-Negretti, Carlos Ignacio , Sanchez, María J., Valdez-Tiburcio, Osiris , Villar, Raúl , Parati, Gianfranco , Whelton, Paul K. , Mancia, Giuseppe

Mayo Clinic

Journal of Hypertension | March 24, 2026 | Volume: 44 | Issue: 6 | Pages: 885-910

10.1097/hjh.0000000000004290 | PMID 41875318 Get It

Hypertension is the main risk factor for cardiovascular disease (CVD), affecting 20–40% of Latin American (LATAM) adults, and responsible for more than two million deaths annually due to CVD. The different ethnic, economic, geographic, and cultural characteristics of the LATAM population influence the high prevalence of all cardiovascular risk factors (CVRF), particularly metabolic disturbances such as type 2 diabetes (DM2), obesity and the metabolic syndrome. Their main determinants in LATAM includes environment, food quality, social inequity, low education, political aspects, contextual behaviour, and genetics. The prevalence of overweight and obesity in LATAM increased during the last four decades reaching figures of 10–20% in childhood, 30–40% in adolescence, and 60–70% in adults. Many studies in the region have reported the extremely low rates of awareness, treatment, and control of CVRF in the general population of LATAM, particularly in patients with metabolic disorders, and the consequent high cardiovascular morbidity and mortality. This 2026 LATAM consensus is developed by a large group of experts from different LATAM countries, the USA and Europe, representing areas of internal medicine, cardiology, nephrology, endocrinology, geriatrics, paediatrics, pharmacology, and epidemiology. A careful search for novel studies in LATAM, together with new evidence that has emerged since the 2019 LATAM consensus, support the statements and recommendations in the current report. This update aims to provide clear and useful recommendations for health professionals to improve awareness, treatment, and control of hypertension and associated CVRF in the region.
Refining BCG ‐failure classifications in non‐muscle‐invasive bladder cancer
Ślusarczyk, Aleksander , Contieri, Roberto, Krajewski, Wojciech, Claps, Francesco, Subiela, José Daniel, Mertens, Laura S., Mori, Keiichiro, Grobet‐Jeandin, Elisabeth, Velasco, J. Caño, Tully, Karl H., Soria, Francesco, Duran, P. Del Olmo, Puentedura, A. Lafuente, Lijnen, Renee A.G. , Longoni, Mattia, Marcq, Gautier, Mari, Andrea, Laukhtina, Ekaterina, Afferi, Luca, Albisinni, Simone, Gallioli, Andrea, Giudice, Francesco Del, Boorjian, Stephen A., Briganti, Alberto, Shariat, Shahrokh F., Gontero, Paolo, Radziszewski, P., Moschini, Marco, Pradere, Benjamin, group, Urothelial carcinoma working, Mertens, Laura S. , Contieri, Roberto , Claps, Francesco , Subiela, José Daniel , Mertens, Laura S , Mori, Keiichiro , Tully, Karl H , Soria, Francesco , Mari, Andrea , Laukhtina, Ekaterina , Afferi, Luca , Albisinni, Simone , Gallioli, Andrea , Del Giudice, Francesco , Moschini, Marco , Scilipoti, Pietro , Krajewski, Wojciech R. , Mori, Keiichiro , Grobet-Jeandin, Élisabeth , Tully, Karl H. , Longoni, Mattia , Marcq, Gautier , Laukhtina, Ekaterina , Albisinni, Simone , Boorjian, Stephen A. , Briganti, Alberto, Shariat, Shahrokh F. , Gontero, Paolo , Moschini, Marco , Pradère, Benjamin

Mayo Clinic

BJU International | March 20, 2026 | Volume: 137 | Issue: 6 | Pages: 1076-1087

10.1111/bju.70231 | PMID 41858138 Get It

Objective To validate International Bladder Cancer Group (IBCG) definitions of Bacillus Calmette‐Guérin (BCG)‐unresponsive and BCG‐exposed non‐muscle‐invasive bladder cancer (NMIBC) and assess prognostic heterogeneity across various BCG‐failure types. Patients and Methods From a multicentre international cohort of 3806 BCG‐treated patients, 591 who developed high‐grade NMIBC recurrence following BCG between 2003 and 2024 were included. Progression‐free survival (PFS) was the primary endpoint; cancer‐specific (CSM) and overall mortality (OM) were secondary endpoints. Cumulative incidence functions, competing‐risk models and multivariable Cox regression were used. Results Patients with BCG‐unresponsive and BCG‐exposed disease showed similar PFS, CSM, and OM (all P > 0.05). When stratified into five subgroups, prognosis varied: 5‐year progression rates were 29% for BCG‐unresponsive, 32.5% for late relapse (between 6 and 24 months) after adequate BCG, 30% for BCG‐exposed with inadequate BCG (<24 months from induction), 6.2% for BCG‐resistant, and 14% for very late relapse (>24 months since last BCG) ( P < 0.01). In multivariable analysis, BCG‐exposed after inadequate BCG (subdistribution hazard ratio [sHR] 3.42, 95% confidence interval [CI] 1.33–8.84), late relapse (sHR 3.74, 95% CI 1.59–8.78), and BCG‐unresponsive (sHR 2.34, 95% CI 1.00–5.44) were associated with higher progression risks compared to very late relapse. Limitations include retrospective design and treatment heterogeneity. Conclusions Under IBCG definitions, BCG‐unresponsive and BCG‐exposed NMIBC have similarly poor outcomes. A refined classification reveals prognostic heterogeneity, with late relapses after adequate BCG demonstrating outcomes comparable to BCG‐unresponsive, and very late relapses conferring better prognosis.
Recommendations for the diagnostic work‐up of cutaneous small vessel vasculitis – Position Statement of the European Academy of Dermatology and Venereology Vasculitis and Vasculopathy Task Force
Alpsoy, Erkan , Caproni, Marzia , Wetter, David A. , Goebeler, Matthias , Schneider, Stefan W. , Sălăvăstru, Carmen , Llamas‐Velasco, Mar , Akyol, Melih , Dutz, Jan , Jachiet, M. , Kawakami, Tamihiro , Piette, Warren W., Ratzinger, Gudrun , Szepietowski, Jacek C. , Schneider, Stefan W , Llamas-Velasco, Mar , Marzano, Angelo Valerio , Jachiet, Marie , Mariotti, Elena Biancamaria , Maronese, Carlo A , Monfort, Jean-Benoît , Ratzinger, Gudrun , Werth, Victoria P , Szepietowski, Jacek C , Caproni, Marzia , Levell, Nick J. , Maronese, Carlo Alberto , Micheletti, Robert , Werth, Victoria P. , Sunderkötter, Cord

Mayo Clinic

Journal of the European Academy of Dermatology and Venereology | December 16, 2025 | Volume: 40 | Issue: 6 | Pages: 946-962

10.1111/jdv.70249 | PMID 41399325 Get It

Abstract Background Small vessel vasculitides (SVV) comprise a heterogeneous group of cutaneous SVV (CSVV) that can be skin‐limited or systemic. Given their diverse forms and symptoms and the lack of a standardized diagnostic approach, it is crucial to establish clear and consensus‐driven recommendations for diagnosis. Objectives To standardize diagnosis for the detection of the type, extent, potential causes or underlying conditions of CSVV. Methods International experts comprised the panel. The Delphi panel data was collected through two rounds of questionnaires. Agreement was measured using an 11‐point Likert scale (0 = strongly disagree, 10 = strongly agree). A 7‐vote minimum was required for agreement on each statement. Delphi panel statements scoring 3–7 were discussed during the meeting. Results 20 experts participated in the first round of the Delphi panel, while 17 experts took part in the second. They agreed that the diagnosis of CSVV relies on a combination of clinical manifestations, laboratory findings and histopathology. Palpable purpura on the lower extremities is recognized as the most reliable hallmark for most SVV and a sign of immune complex vasculitis. When the latter is suspected, a skin biopsy for direct immunofluorescence (DIF) should be obtained from an early, partially blanchable macule because the type of perivascular immunoglobulin is important for further diagnosis. The proper selection of biopsy sites for routine HE biopsy depends on the morphology of lesions. A comprehensive medical history and selected laboratory testing should be conducted to investigate organ involvement, potential causes and associated conditions. The extent of diagnostic procedures should be based on the severity, duration, systemic symptoms and recurrence of SVV. Conclusions Experts reached a strong consensus on the management of CSVV patients, culminating in the first International Consensus Statement for adult CSVV. This statement proposes a practical management algorithm and underscores the importance of collaboration in rare diseases management.
Global but not myeloid lineage-directed Girk3 deletion increases bone mass in female mice
Weaver, Samantha , Durdan, Margaret , Narum, Anders K. , Weivoda, Megan , Alhamad, Dima W. , McGee‐Lawrence, Meghan E. , Khosla, Sundeep , Taylor, Earnest L., Bradley, Elizabeth W. , Wickman, Kevin , Weaver, Samantha R , Durdan, Margaret M, Weivoda, Megan M, McGee-Lawrence, Meghan E , Khosla, Sundeep , Bradley, Elizabeth W , Doolittle, Madison L. , Velasco, Ezequiel Marrón Fernández de , Westendorf, Jennifer J.

Mayo Clinic

JBMR Plus | August 12, 2025 | Volume: 9 | Issue: 11 | Pages: No page available

10.1093/jbmrpl/ziaf133 | PMID 41084512 Get It

Abstract Germline and osteoblast-directed deletion of G protein-gated inwardly rectifying K+ channel 3 (Girk3) was recently shown to increase bone mass after 18 wk of age in male mice. Here, we show that germline Girk3 deletion also increases trabecular and cortical bone mass and increases the mechanical strength of the femur in female mice after 18 wk of age. Unlike male mice, however, osteoblast-directed Girk3 deletion using 2.3 kb-Col1a1-Cre does not increase bone mass in adult female mice. To discover mechanisms underlying high bone mass in female Girk3−/− mice, bulk RNA-sequencing was performed on 2-d-old calvarial bone, revealing lower expression of proinflammatory cytokines such as IL-1β and IL-6 in Girk3−/− mice. Accordingly, cytokines and chemokines are largely suppressed in the circulation of adult Girk3−/− mice compared to WT littermates. The cytokines GM-CSF, IL-1β, IL-2, and IL-9 are reduced in the serum of both male and female Girk3−/− mice, while eotaxin, IFNγ, MIP-1α, and others are sexually dimorphic. Histomorphometry reveals that osteoclast activity is modestly reduced in Girk3−/− bone, which is supported by in vitro osteoclast resorption assays. However, deletion of Girk3 in myeloid-lineage cells with LysM-Cre is not sufficient to recapitulate high bone mass in either male or female mice. Moreover, female Girk3−/− mice are not protected from ovariectomy-induced bone loss. Finally, single-cell screening using cytometry by time-of-flight in the BM revealed no differences in immune cell abundances due to global Girk3 deletion. Taken together, while Girk3 regulates inflammatory cytokine expression in the bone and serum, deletion of Girk3 in myeloid-lineage cells does not affect bone mass.