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42 citation(s) found for "Vinayak, S".

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

Mayo Clinic

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.
Abstract PS2-07-17: Characterizing circulating tumor cell (CTC) enumeration and phenotypic profiling in blood with synchronously obtained tissue in metastatic breast cancer (MBC) in TBCRC /AURORA US
Giridhar, K. V., Nenad, W. C., Ye, H., Wheeler, G. L., Hinoue, T., Michmerhuizen, A. R., Felsheim, B. M., Chandran, U. R., Kelly, B. J., Mardis, E. R., Laird, P. W., Balko, J. M., Garrido-Castro, A. C., Coppens, Sara E. , Bowen, J., Nanda, R., Lin, N. U., Anders, C. K., Isaacs, C., Tao, J. J., Anampa, J. D., Jahan, N., Huppert, L., DeMichele, A., Park, B. H., Vinayak, Shaveta , Delson, A. L., Magbanua, M. M., Balic, M., Parsons, H. A., Lee, A. V., Carey, L. A., Norton, Larrw, Wolff, A. C., Davidson, N. E., Krop, I., King, T. A., Perou, C. M., Hoadley, K. A., Network, Aurora US Metastases, Giridhar, K. V., Wheeler, G. L., Hinoue, T., Michmerhuizen, Anna R. , Felsheim, Brooke , Kelly, B. J., Mardis, E. R., Laird, P. W., Balko, J. M., Garrido-Castro, Ana C. , Nanda, Rita , Lin, N. U., Anders, Carey K. , Isaacs, Claudine , Anampa, J. D., Jahan, N., Huppert, L. A., DeMichele, Angie, Park, B. H., Delson, A. L., Magbanua, MJM, Balic, M., Parsons, H. A., Lee, A. V., Wolff, Antonio C , Davidson, N. E., Krop, Ian E. , King, T. A., Perou, Charles M. , Hoadley, K.A., Network, AURORA US

Mayo Clinic

Clinical Cancer Research | February 20, 2026 | Volume: 32 | Issue: 4_Supplement | Pages: PS2-07-17-PS2-07-17

10.1158/1557-3265.sabcs25-ps2-07-17 Get It

Abstract Background: In MBC, CTC enumeration is highly prognostic for both progression free survival (PFS) and overall survival (OS). Multiparametric technologies enable for expanded phenotypic profiling of CTCs, including ER and HER2 assessment. Limited information is available on the concordance of CTC ER and HER2 levels compared to synchronously obtained tissue. We assessed the prognostic performance of CTC enumeration and phenotypic profiling of ER and HER2 on CTCs. Methods: The prospective, multi-institutional Aurora study enrolled pts with MBC of any subtype either at diagnosis of metastatic disease or at time of progression on any line of systemic therapy. Pts underwent a metastatic site biopsy, consented to archival primary tissue collection and donated blood samples serially every 3-4 months until progression. CTCs, from blood collected at study entry, were identified as nucleated, EpCAM+/ cytokeratin+/ CD45- cells using an automated imaging system (RareCyte, Seattle). ER and HER2 expression levels were measured by mean fluorescence intensity (MFI), with thresholds above 80 (ER) and 160 (HER2) considered positive. Comparisons were made to total RNAseq from paired metastatic tissue biopsies. PFS and OS were calculated from the time of study entry to last follow up or death. Results: Baseline CTC enumeration was performed in 154 pts. The most common clinical subtype was HR+/HER2- (59.7%), followed by HER2-positive (16.8%) and TNBC (15.5%). The median lines of prior therapy were 1 (range 0-10). At least 1 CTC was identified in 68/154 pts (44%), 30 (19%) had ≥ 5 CTCs, and 15 (9.7%) had CTC clusters. The median CTC value was 0 (0-877). The presence of CTCs (≥1 or ≥5) and CTC clusters was adversely associated with PFS and OS (Table 1 Table 1. CTC survival analyses Number Median PFS PFS HR (95% CI) Median OS OS HR (95% CI) Presence of CTC 0 CTC 86 7.37 (0.03 - 43.1) reference 20.72 (0.03 - 50.6) reference ≥ 1 CTC 68 4.7 (0.43 - 19.5) 1.65 (1.16-2.36) 12.04. (0.43-44.1) 2.13 (1.44-3.16) Presence of ≥ 5 CTC <5 CTC 124 7.7 (0.03 - 43.1) reference 19.31 (0.03 - 50.6) reference ≥ 5 CTC 30 2.88 (0.43 - 18.7) 1.77 (1.15 - 2.71) 5.74 (0.43 - 29.3) 3.59 (2.26-5.70) Presence of clusters 0 clusters 139 7.37 (0.03 - 43.1) reference 18.06 (0.03 - 50.6) reference ≥ 1 cluster 15 1.91 (0.43 - 18.7) 2.06 (1.16 - 3.68) 3.42 (0.43 - 18.7) 5.44 (2.94-10.09) ). Across all subtypes, the median CTC ER-MFI across was 36.2 (range 4.2-10,016.6) and the median HER2-MFI was 139.6 (range 4.2-2480.5). We observed high intra-patient heterogeneity of ER-MFI (CV: 0.65 [0.34-1.25]) and HER2-MFI (CV: 0.79 [0.42-1.54]). Clinical metastatic subtype from metastasis at study entry was available in 54/68 pts with CTCs. Pts with clinical ER+ MBC had a higher median ER-MFI compared to clinical TNBC (111.9 vs 68.6, p = 0.02). However, 11 pts (26.8%) with clinical ER+ MBC had all CTCs with an ER-MFI <80. Lower ER expression was observed in CTCs collected after prior exposure to a SERD (median ER-MFI: post-SERD [n=8] 27 vs post-aromatase inhibitor [n=4] 252, p<2.22e-16). No correlations were observed between the median CTC ER-MFI or HER2-MFI and paired tissue ESR1 or ERBB2 RNA expression (n=66). Conclusions: CTCs are strongly predictive of PFS and OS. CTC ER- and HER2-MFI were highly heterogeneous without clear correlation with bulk tissue RNA expression. The clinical impact of discordant clinical receptor status and CTC receptor status warrants further exploration. Citation Format: K. V. Giridhar, W. C. Nenad, H. Ye, G. L. Wheeler, T. Hinoue, A. R. Michmerhuizen, B. M. Felsheim, U. R. Chandran, B. J. Kelly, E. R. Mardis, P. W. Laird, J. M. Balko, A. C. Garrido-Castro, S. Coppens, J. Bowen, R. Nanda, N. U. Lin, C. K. Anders, C. Isaacs, J. J. Tao, J. D. Anampa, N. Jahan, L. Huppert, A. DeMichele, B. H. Park, S. Vinayak, A. L. Delson, M. M. Magbanua, M. Balic, H. A. Parsons, A. V. Lee, L. A. Carey, L. Norton, A. C. Wolff, N. E. Davidson, I. Krop, T. A. King, C. M. Perou, K. A. Hoadley, Aurora US Metastases Network. Characterizing circulating tumor cell (CTC) enumeration and phenotypic profiling in blood with synchronously obtained tissue in metastatic breast cancer (MBC) in TBCRC /AURORA US [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS2-07-17.
Biparametric vs Multiparametric MRI for Prostate Cancer Diagnosis
Ng, Alexander , Asif, Aqua , Gómez‐Gómez, Enrique , Budäus, Lars, Barrett, Tristan , Radtke, Jan Philipp , Kesch, Claudia, Pham, Tho, Tewari, Ash , Cabello, M.A. Rodríguez , Mynderse, Lance A. , Borghi, Marcelo, Boesen, Lars , Singh, Paras B. , Renard‐Penna, Raphaële , Leow, Jeffrey J. , Pecoraro, Martina , Giannarini, Gianluca , Perlis, Nathan , López-Ruiz, Daniel, Rossiter, Marimo , Khetrapal, Pramit , Chan, Vinson Wai‐Shun , Haider, Aiman , Clarke, Caroline S. , Dickinson, Louise , Mitra, Anita, Margolis, Daniel J. A., Takwoingi, Yemisi , Emberton, Mark , Allen, Clare, Moore, Caroline M. , Kasivisvanathan, Veeru , Collaborators, PRIME Study Group, Briganti, Alberto , Evangelista, Alex, Freeman, Alex , Kirkham, Alex, Zlotta, Alexandre R. , Grey, Alistair, Ryan, Andrew, Borrelli, Antonella , Andrews, Antonette, Finelli, Antonio , Sancho, Arturo Platas, Baring, Ashley, Roy, Ashoke, Issa, Balqiisa, Israël, Bas , González, Carolina Aulló, English, Caroline, Zuiani, Chiara , Amate, Cristina, Yong, Daniel , Rozze, Davide, Lomas, Derek J. , Cannoletta, Donato , Chang, Eileen Wang, Chun, Felix, Zussino, Gaia , Antoch, Gerald , Gandaglia, Giorgio, Sauter, Guido , Thevarajah, Harini, Sorrell, Harriet, McBain, Hazel, Reis, Henning , Pita, Hernando Ríos , Potyka, Ingrid , Collavino, Jeanlou, Koshy, Jincy, Weng, Jing Yi , Withington, John, Egmond, Joke van, Piper, Jon, O’Brien, Jonathan , Rosa, José Valero, Sanz, Juan Luis , Quesada, Juan Mesa, Jannusch, Kai , Corr, Kateri , Haines, Kenneth, Umutlu, Lale , Quarta, Leonardo, Casarotto, Letizia, Gimeno, Linda , Moretti, Lucas, Laschena, Ludovica , Drewes, Lukas, Ostos, Manuel Sanchez, Peris, M., Volpacchio, Mariano , Prentice, Mark, Graefen, Markus , Soligo, Matteo, Boschheidgen, Matthias , Singhera, M., Wenzel, Mike, Fatterpekar, Monali, Al‐Nader, Mulham , Kachanov, Mykyta , Shaida, Nadeem , Muirhead, Nicola , Vasdev, Nikhil , Sanmugalingam, Nimalan , Nørgaard, Nis , Vicente, Pete, Incze, Peter , Ryan, Philip, Rouvier, Philippe , Mead, Phoebe, Mozer, Pierre, Viana, Públio César Cavalcante , Jiménez, Rafael E. , Novotta, Réka, Huang, Richard, O’Sullivan, Richard, Jepsen, Rikke Karlin , Frese, Robert, Clow, Rosemary, Al‐Monajjed, Rouvier , Lewis, Sara , Cashman, Sophia, Pizzolitto, Stefano, Lelie, S., Lindner, Sydney, Al‐Hammouri, Tarek , Sánchez, Teresa González, Reid, Thomas, McClure, Timothy, Maurer, Tobias , Peruzzi, Valeria, Tan, Wei Phin, Nahas, William Carlos, Chong, Yew Lam, Agarwal, Ridhi , Panebianco, Valeria , Girometti, Rossano , Ghai, Sangeet , COBELLI, Francesco DE , Pham, Tho, Taneja, Samir S. , Hu, Jim C. , Dias, Adriano Basso , Falkenbach, Fabian , Kastner, Christof , Schimmöller, Lars , Nathan, Arjun , Punwani, Shonit , Brew‐Graves, Chris , Brembilla, Giorgio , Margolis, Daniel , Giganti, Francesco , Collaborators, PRIME Study Group, Crestani, Alessandro , Sciarra, Alessandro , Evangelista, Alex, Kirkham, Alex P. S. , Grey, Alistair, Blanca, Ana , Bjartell, Anders , Tong, Angela , Warren, Anne Y. , Ciardi, Antonio , Rannikko, Antti , Stabile, Armando , Villers, Arnauld A. , Issa, Balqiisa, Hadaschik, Boris Alexander , English, Caroline L, Lee, Chau Hung , Caris, Christien T.M. , Stempel, Conrad von , Rozze, Davide, Messina, Emanuele , Chun, Felix, Gandaglia, Giorgio, Robert, G. , Caglič, Iztok , Theysohn, Jens Matthias , Grummet, Jeremy , Koshy, Jincy, Wilkinson, John, Withington, John, Egmond, Joke van, Deeks, Jonathan J , O'Brien, Jonathan, Quesada, Juan Mesa, Quarta, Leonardo , Orecchia, Luca , Moretti, Lucas, Rooij, Maarten de , Bicchetti, Marco , Gatti, Marco , Peris, María de los Desamparados Esteban, Roethke, Matthias Claudius , Monte, Maurizio Del, Wenzel, Mike, Takahashi, Naoki , Fleshner, Neil , Albers, Peter , Mead, Phoebe, Visschere, Pieter De , Huang, Richard, Shah, Syed Ahmar , Sanchez, Teresa González, Bathala, Tharakeswara K , Kwast, Theodorus van der , Reid, Thomas, Løgager, Vibeke , Prabhu, Vinay , Wagaskar, Vinayak Gorakhnath , Tan, Wei Phin, Nahas, William Carlos, Witjes, Wim P.J. , Chong, Yew Lam

Mayo Clinic

JAMA | September 10, 2025 | Volume: 334 | Issue: 13 | Pages: 1170

10.1001/jama.2025.13722 | PMID 40928788 Get It

Importance Multiparametric magnetic resonance imaging (MRI), with or without prostate biopsy, has become the standard of care for diagnosing clinically significant prostate cancer. Resource capacity limits widespread adoption. Biparametric MRI, which omits the gadolinium contrast sequence, is a shorter and cheaper alternative offering time-saving capacity gains for health systems globally. Objective To assess whether biparametric MRI is noninferior to multiparametric MRI for diagnosis of clinically significant prostate cancer. Design, Setting, and Participants A prospective, multicenter, within-patient, noninferiority trial of biopsy-naive men from 22 centers (12 countries) with clinical suspicion of prostate cancer (elevated prostate-specific antigen [PSA] level and/or abnormal digital rectal examination findings) from April 2022 to September 2023, with the last follow-up conducted on December 3, 2024. Interventions Participants underwent multiparametric MRI, comprising T2-weighted, diffusion-weighted, and dynamic contrast–enhanced (DCE) sequences. Radiologists reported abbreviated biparametric MRI first (T2-weighted and diffusion-weighted), blinded to the DCE sequence. After unblinding, radiologists reported the full multiparametric MRI. Patients underwent a targeted biopsy with or without systematic biopsy if either biparametric MRI or multiparametric MRI was suggestive of clinically significant prostate cancer. Main outcomes and measures The primary outcome was the proportion of men with clinically significant prostate cancer. Secondary outcomes included the proportion of men with clinically insignificant cancer. The noninferiority margin was 5%. Results Of 555 men recruited, 490 were included for primary outcome analysis. Median age was 65 (IQR, 59-70) years and median PSA level was 5.6 (IQR, 4.4-8.0) ng/mL. The proportion of patients with abnormal digital rectal examination findings was 12.7%. Biparametric MRI was noninferior to multiparametric MRI, detecting clinically significant prostate cancer in 143 of 490 men (29.2%), compared with 145 of 490 men (29.6%) (difference, −0.4 [95% CI, −1.2 to 0.4] percentage points; P = .50). Biparametric MRI detected clinically insignificant cancer in 45 of 490 men (9.2%), compared with 47 of 490 men (9.6%) with the use of multiparametric MRI (difference, −0.4 [95% CI, −1.2 to 0.4] percentage points). Central quality control demonstrated that 99% of scans were of adequate diagnostic quality. Conclusion and relevance In men with suspected prostate cancer, provided image quality is adequate, an abbreviated biparametric MRI scan, with or without targeted biopsy, could become the new standard of care for prostate cancer diagnosis. With approximately 4 million prostate MRIs performed globally annually, adopting biparametric MRI could substantially increase scanner throughput and reduce costs worldwide. Trial registration ClinicalTrials.gov Identifier: NCT04571840
Regional Variations in the Management and Outcomes of Pulmonary Embolism: A Five‐Year United States Analysis
Mehta, Aryan , Bansal, Mridul , Ahmad, Khansa , Ingrassia, Joseph, Abbott, J. Dawn, Vallabhajosyula, Saraschandra , Ahmad, Khansa , Vallabhajosyula, Saraschandra , Mehta, Aryan , Nagaraja, Vinayak

Mayo Clinic

Catheterization and Cardiovascular Interventions | August 21, 2025 | Volume: 106 | Issue: 4 | Pages: 2632-2636

10.1002/ccd.70110 | PMID 40838428 Get It

ABSTRACT Background Acute pulmonary embolism (PE) is one of the most common causes of cardiovascular mortality in the United States. Significant variations in the management of various cardiovascular conditions have previously been reported, but this has been poorly elucidated for pulmonary embolism. Methods During 2016–2020, adult (≥ 18 years) nonelective admissions with PE, admitted to Northeast, Midwest, South, and West geographic regions were identified using the National Inpatient Sample. Outcomes of interest included in‐hospital mortality, utilization of PE therapies, non‐cardiac organ support, total hospitalization costs, and hospitalization duration. Results In this 5‐year duration, 904,260 admissions were identified ‐ Northeast, Midwest, South, and West had 166,050 (18.3%), 225,680 (24.9%), 350,160 (38.7%), and 162,370 (17.9%) admissions, respectively. On average, admissions to the Northeast were less comorbid, from a higher socioeconomic status, privately insured, and more commonly admitted to urban teaching and medium‐sized hospitals (all p < 0.001). The Northeast region also had the lowest rates of definitive PE therapies except surgical thrombectomy. In comparison to the Northeast, the in‐hospital mortality was higher in the South and West and lower in the Midwest region (3.1% vs 2.8% vs 3.2% vs 3.3%, p < 0.001). However, on adjusted analysis with Northeast as a reference, in‐hospital mortality was noted to be lower in the Midwest (adjusted odds ratio [aOR] 0.98, 95% confidence interval [CI] 0.67−0.84; p < 0.001), South (aOR 0.89, 95% CI 0.80−0.98; p < 0.05), and the West (aOR 0.88, 95% CI 0.78−0.99; p < 0.05). Conclusion In this study, we noted significant heterogeneity in the management and outcome of pulmonary embolism across various regions of the United States.
Global, Regional, and National Burden of Nontraumatic Subarachnoid Hemorrhage
Collaborators, GBD 2021 Global Subarachnoid Hemorrhage Risk Factors, Rautalin, Ilari, Stark, Benjamin, Johnson, Catherine O., Kaprio, Jaakko , Korja, Miikka, Krishnamurthi, Rita , Nair, Balakrishnan , Vergouwen, Mervyn D. I. , Abdelkader, Atef , Abdullahi, Auwal , Abualruz, Hasan , Abukhadijah, Hana J , Adamu, Lawan Hassan, Adegboye, Oyelola A. , Adzigbli, Leticia Akua, Agyemang‐Duah, Williams , Ahinkorah, Bright Opoku, Ahmad, Aqeel , Ahmad, Danish , Ahmadzade, Amir Mahmoud , Akkaif, Mohammed Ahmed , Ali, Mohammed Usman, Alif, Sheikh Mohammad , Alimohamadi, Yousef, Alsabri, Mohammed , Altaf, Awais , Alvis‐Guzmán, Nelson , Alwafi, Hassan , Al‐Wardat, Mohammad , Alyahya, Mohammad S. , Amin, Tarek Tawfik , Amindarolzarbi, Alireza , Amusa, Ganiyu , Angappan, Dhanalakshmi , Anuoluwa, Boluwatife Stephen, Anwar, Saleha, Anyasodor, Anayochukwu Edward , Apostol, Geminn Louis Carace, Areda, Demelash, Artamonov, Anton A, Artanti, Kurnia Dwi , Ashemo, Mubarek Yesse , Athar, Mohammad , Aujayeb, Avinash , Awotidebe, Adedapo Wasiu , Azadnajafabad, Sina , Aziz, Shahkaar , Bagheri, Nasser , Taqanaki, Pegah Bahrami , Bahramian, Saeed , Bai, Ruhai , Baig, Atif Amin , Baltatu, Ovidiu Constantin , Bam, Kiran, Barker‐Collo, Suzanne , Bärnighausen, Till , Bastan, Mohammad‐Mahdi , Basu, Sanjay , Bell, Shelly L, Benseñor, Isabela M , Berhie, Alemshet Yirga , Bhagavathula, Akshaya Srikanth , Bhaskar, Sonu , Bhat, Ajay Nagesh, Bhat, Vivek , Birhan, Mekuriaw Mesfin , Borhany, Hamed, Breitner, Susanne , Bulamu, Norma B. , Butt, Zahid A , Cabral, Lucas Scotta , Santos, Florentino Luciano Caetano dos , Cámera, Luis Alberto , Capodici, Angelo , Chadwick, Joshua , Chakraborty, Promit Ananyo , Chanie, Gashaw Sisay , Chattu, Vijay Kumar , Chi, Gerald, Chichagi, Fatemeh , Columbus, Alyssa , Criqui, Michael H, Ohadi, Mohammad Amin Dabbagh , Dadras, Omid , Dalli, Lachlan L. , Debopadhaya, Shayom , Dervišević, Emina , Devanbu, Vinoth Gnana Chellaiyan, Dewan, Syed Masudur Rahman , Dhane, Amol S. , Chi, Thanh, Phuong, Thao Huynh, Dohare, Sushil , Докова, Клара , Dowou, Robert Kokou , Dsouza, Haneil Larson , Dutta, Siddhartha , Dziedzic, Arkadiusz , E’mar, Abdel Rahman, Edvardsson, David , Efendi, Ferry, Nahas, Nevine El , Elgendy, Islam Y. , Eltaha, Chadi, Emeto, Theophilus I. , Fakhradiyev, Ildar , Faris, Pawan , Fauk, Nelsensius Klau , Fazylov, Timur, Fekadu, Ginenus , Fetensa, Getahun, Fischer, Florian, Foschi, Matteo , Fridayani, Ni Kadek Yuni, Gaipov, Abduzhappar , Gajjar, Avi A. , Ganesan, Balasankar , Gebregergis, Miglas Welay, Gebremeskel, Teferi Gebru , Getie, Molla , Ghadirian, Fataneh , Ghasemzadeh, Afsaneh , Gholamalizadeh, Maryam , Gil, Artyom , Goleij, Pouya , Goulart, Alessandra C. , Goulart, Bárbara Niegia Garcia de , Guan, Shi‐Yang , Gupta, Sapna , Habibzadeh, Farrokh , Hadi, Najah R, Hankey, Graeme J. , Harlianto, Netanja I. , Hasani, Hamidreza, Hasnain, Md Saquib , Haubold, Johannes , Havmoeller, Rasmus, Hay, Simon I , Hbid, Youssef , Heidari, Golnaz , Hiraike, Yuta, Hoan, Nguyen Quoc , Hosseinzadeh, Mehdi , Hwang, Bing‐Fang , Ibitoye, Segun Emmanuel , Ikiroma, Adalia , Isola, Gaetano , Iwagami, Masao , Jacob, Louis, Jain, Akhil, Jakovljević, Mihajlo , Jatau, Abubakar Ibrahim , Jawaid, Talha, Jayapal, Sathish Kumar , Jonas, Jost B, Joseph, Nitin , Jürisson, Mikk , Kadashetti, Vidya, Kalani, Rizwan, Kamireddy, Arun , Kandel, Himal , Behnagh, Arman Karimi , Kashoo, Faizan , Kayode, Gbenga A , Kazemi, Foad , Khader, Yousef , Khaing, Inn Kynn , Khan, Fayaz Ahmad , Khan, Mohammad Jobair , Kashani, Hamid Reza Khayat , Khosla, Atulya Aman , Kim, Kwanghyun , Kim, Yun Jin , Korzh, Oleksii , Krishan, Kewal , Krishna, Varun, Krishnamoorthy, Vijay , Kuddus, Mohammed , Kulimbet, Mukhtar , Lahariya, Chandrakant, Lai, Daphne Teck Ching , Lai, Hanpeng , Laksono, Tri, Lallukka, Tea , Latifinaibin, Kaveh, Le, Nhi Huu Hanh, Le, Thao T. , Lee, Munjae , Lee, Yo Han , Lenzi, Jacopo , Leonardi, Matilde, Li, Ming‐Chieh , Li, Xiaopan , Lim, Stephen S , Lin, Jialing , Saute, Ricardo Lutzky , Malik, Ahmad Azam , Marateb, Hamid Reza , Maroufi, Seyed Farzad , Maugeri, Andrea , McPhail, Steven , Mehndiratta, Man Mohan, Mestrovic, Tomislav, Mettananda, Chamila Dinushi Kukulege , Miazgowski, Tomasz , Minervini, Giuseppe , Mithra, Prasanna , Mohamed, Abdalla Z. , Mohammad, Ameen Mosa , Mohammed, Shafiu , Moni, Mohammad Ali , Moradi, Yousef, Moraga, Paula , Morawska, Lídia , Munjal, Kavita , Murray, Christopher J L , Nagarajan, Ahamarshan Jayaraman , Naik, Ganesh R. , Najdaghi, Soroush , Davani, Delaram Narimani , DELETE-ME, Nawsherwan, Nazri-Panjaki, Athare , Negoi, Ruxandra Irina , Nematollahi, Soroush , Nguyen, Hau Thi Hien, Nguyen, Hau Thi Hien, Nguyen, Phat Tuan , Nguyễn, Văn Thành , Niazi, Robina Khan, Nikoobar, Ali , Sá, Antonio Tolentino Nogueira de , Nomura, Shuhei , Nzoputam, Chimezie Igwegbe , Oancea, Bogdan , Ojo-Akosile, Tolulope R, Oliveira, Gláucia Maria Moraes de , Olorukooba, Abdulhakeem Abayomi , Osuagwu, Uchechukwu Levi , Ouyahia, Amel, A, Mahesh Padukudru P, Panagiotakos, Demosthenes B. , Parikh, Romil R., Park, Seoyeon , Pedersini, Paolo , Peprah, Emmanuel , Perico, Norberto, Petermann-Rocha, Fanny Emily, Plotnikov, Evgenii , Полибин, Р. В. , Postma, Maarten J. , Prasad, Manya , Qian, Gangzhen , Rahmanian, Mohammad , Rajaa, Sathish , Rajput, Prashant , Ramadan, Mahmoud M. , Rane, Amey, Rashidi, Mohammad‐Mahdi , Razo, Christian , Reddy, Murali Mohan Rama Krishna, Remuzzi, Giuseppe, Rezaei, Negar , Rezaeian, Mohsen , Rocha, Hermano Alexandre Lima , Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo , Romoli, Michele, Romozzi, Marina, Roy, Nitai , Saddik, Basema Ahmad, Sahoo, Pragyan Monalisa , Salaroli, Luciane Bresciani , Samuel, Vijaya Paul, Samy, Abdallah M , Santric-Milicevic, Milena M., Saravanan, Aswini, Schlaich, Markus P. , Sethi, Yashendra , Seylani, Allen, Shaaban, Ahmed Nabil , Shafie, Mahan , Shaikh, Summaiya Zareen , Shamsutdinova, Alfiya, Sharifan, Amin , Rad, Javad Sharifi, Sharma, Vishal, Shashamo, Bereket Beyene , Shetty, Premalatha K, Shigematsu, Mika, Shorofi, Seyed Afshin, Singh, Paramdeep , Singh, Puneetpal , Singh, Surjit , Sobia, Farrukh , Solanki, Shipra, Soraneh, Soroush , Spartalis, Michael, Srinivasamurthy, Suresh Kumar , Stanikzai, Muhammad Haroon , Sun, Zhong , Swain, Chandan Kumar , Damavandi, Payam Tabaee , Tabatabaeizadeh, Seyed-Amir, Tabche, Celine , Taiba, Jabeen , Tamuzi, Jacques Lukenze , Tan, Ker‐Kan , Teramoto, Masayuki , Thakur, Ramna, Thankappan, Kavumpurathu Raman , Thayakaran, Rasiah , Thirunavukkarasu, Sathish, Ticoalu, Jansje Henny Vera, Tiwari, Krishna Raj , Tonelli, Marcello , Topór-Mądry, Roman , Tovani-Palone, Marcos Roberto Roberto, Tran, Jasmine, Tran, Thang Huu , Duc, Nguyen Tran Minh , Truelsen, Thomas Clement, Unim, Brigid, Vahdati, Sanaz, Vaithinathan, Asokan Govindaraj , Eynde, Jef Van den , Vladimirov, Sergey Konstantinovitch , Waheed, Yasir, Wahood, Waseem , Walde, Mandaras Tariku, Wang, Yanzhong , Wickramasinghe, Nuwan Darshana , Wolfe, Charles D. A., Wubie, Yihun Miskir, Xiao, Hong , Xu, Xiaoyue , Yano, Yuichiro , Yarahmadi, Amir , Ye, Pengpeng, Yon, Dong Keon , Zanghì, Aurora , Zare, Iman, Zastrozhin, Michael, Zhang, Zhi-Jiang , Zhang, Zhiqiang , Zhang, Zhiqiang, Zhao, Hanqing , Zhou, Shang Cheng, Zhumagaliuly, Abzal , Zia, Hafsa, Roth, Gregory A., Topór‐Mądry, Roman , Oliveira, Arão Belitardo , Rahim, Fakher , Saddik, Basema , Waheed, Yasir , Liu, Xuefeng , Zhang, Yunquan , Ozair, Ahmad , Buendía, Jefferson Antonio , Korja, Miikka , Baig, Atif Amin , Shanawaz, Mohd , Elgendy, Islam Y , Hankey, Graeme J , Alif, Sheikh M , Rezaei, Negar , Bhagavathula, Akshaya Srikanth , Van den Eynde, Jef , Ozair, Ahmad , Collaborators, GBD 2021 Global Subarachnoid Hemorrhage Risk Factors, Rautalin, Ilari Matias , Volovici, Victor , Ranta, Annemarei , Rinkel, Gabriël J.E. , Abate, Yohannes Habtegiorgis, Abbastabar, Hedayat , Abd-Allah, Foad , Abdi, Parsa , Abdollahi, Arash , Abiodun, Olugbenga Olusola , Aboagye, Richard Gyan , Abouzid, Mohamed , Abtahi, Dariush , Abu‐Rumeileh, Samir , Abualhasan, Ahmed , Abu‐Zaid, Ahmed , Addo, Isaac Yeboah , Adedoyin, Rufus Adesoji , Adra, Saryia , Ahinkorah, Bright Opoku , Ahmed, Ali , Ahmed, Haroon , Ahmed, Syed Anees , Aji, Budi , Al‐Ajlouni, Yazan A. , Al‐Aly, Ziyad , ALBashtawy, Mohammed , Aljunid, Syed Mohamed , Alomari, Mahmoud A. , Alrawashdeh, Ahmad , Alsabri, Mohammed A., Salman, Rustam Al‐Shahi , Al‐Tammemi, Ala’a B. , Al‐Worafi, Yaser Mohammed , Aly, Hany Z. , Alzoubi, Karem Hasan , Amani, Reza, Anderlini, Deanna , Anil, Abhishek , Arabloo, Jalal , Ärnlöv, Johan , Arumugam, Ashokan , Aryan, Zahra , Jafarabadi, Mohammad Asghari , Ashraf, Tahira , Athari, Seyyed Shamsadin , Azzam, Ahmed Y , Babu, Giridhara R. , Bako, Abdulaziz Tijjani , Banach, Maciej , Bandyopadhyay, Soham , Banik, Biswajit , Bardhan, Mainak , Barqawi, Hiba Jawdat , Barua, Lingkan , Beyene, Kebede Abera , Bhat, Vivek, Bhatti, Gurjit Kaur , Bhatti, Jasvinder Singh , Bijani, Ali , Bikbov, Boris , Birhanu, Mulugeta Molla , Bitra, Veera Raghavulu , Boloor, Archith , Brenner, Hermann , Bugiardini, Raffaele , Călina, Daniela Cornelia , Campos, Luciana Aparecida , Campos‐Nonato, Ismael , Carvalho, Félix , Castañeda-Orjuela, Carlos A , Catapano, Alberico Luigi , Cegolon, Luca , Chakraborty, Chiranjib , Chakraborty, Sandip , Chandika, Rama Mohan , Chaudhary, Anis Ahmad , Chi, Gerald , Ching, Patrick R , Chopra, Hitesh , Choudhari, Sonali Gajanan , Chowdhury, E. , Chu, Dinh‐Toi , Chung, Sheng‐Chia , Silva, Alanna Gomes da , Dai, Xiaochen , Dalal, Koustuv , D’Amico, Emanuele , Dashti, Mohsen , Davletov, Kairat , Cruz-Góngora, Vanessa Vianey De la , Delgado‐Enciso, Iván , Devanbu, Vinoth Gnana Chellaiyan, Dibas, Mahmoud , Doheim, Mohamed Fahmy , Dongarwar, Deepa , D’Oria, Mario , Doshi, Ojas Prakashbhai , Doshi, Rajkumar , Efendi, Defi , Efendi, Ferry , Elhadi, Muhammed , Eltahir, Mohd. Elmagzoub , Fabin, Natalia , Fagbamigbe, Adeniyi Francis , Fahim, Ayesha , Fares, Jawad , Ferreira, Nuno Bravo , Gandhi, Aravind P. , Garg, Ravindra Kumar , Gebrehiwot, Mesfin , Ghadimi, Delaram J. , Ghahramani, Sulmaz , Ghazy, Ramy Mohamed , Ghozy, Sherief , Gilani, Jaleed Ahmed , Gnedovskaya, Elena V. , Hadei, Mostafa , Hamidi, Samer , Hanifi, Nasrin , Haro, Josep María , Hasan, Faizul , Tabatabaei, Mahgol Sadat Hassan Zadeh , Heidari, Mohammad , Hemmati, Mehdi , Holla, Ramesh , Hostiuc, Sorin , Huang, Junjie , Huynh, Hong-Han , Ikeda, Nayu , Ilaghi, Mehran , Ilesanmi, Olayinka Stephen , Ilić, Irena , Ilić, Milena , Islam, Md. Rabiul , Ismail, Nahlah Elkudssiah , Iso, Hiroyasu , Jafarzadeh, Abdollah , Jairoun, Ammar Abdulrahman , Kalani, Rizwan, Kamal, Vineet Kumar , Kanchan, Tanuj , Karami, Jafar , Karaye, Ibraheem M. , Karimi, Yeganeh , Kesse‐Guyot, Emmanuelle , Khan, Fayaz, Khatatbeh, Haitham , Khatatbeh, Moawiah Mohammad , Kheirallah, Khalid Ahmed , Khidri, Feriha Fatima , Khormali, Moein , Kısa, Adnan , Kısa, Sezer , Kivimäki, Mika , Kolahi, Ali‐Asghar , Kompani, Farzad , Kostev, Karel , Kothari, Nikhil , Kunutsor, Setor K. , Kurniasari, Maria Dyah , Kusuma, Dian Palupi , Kytö, Ville , Vecchia, Carlo La , Lahariya, Chandrakant , Latief, Kamaluddin , Lee, Seung Won , Lee, Wei‐Chen , Leonardi, Matilde, Liu, Xuefeng , Lohner, Valerie , Lorenzovici, László , Lotufo, Paulo A. , Lucchetti, Giancarlo , Lusk, Jay B. , Amin, Hawraz Ibrahim M. , Malhotra, Armaan Kush , Malhotra, Kashish , Malta, Déborah Carvalho , Mansournia, Mohammad Alì , Mantovani, LG , Manu, Emmanuel, Marino, Mirko , Martínez, Ramón , Martini, Santi , Martorell, Miquel , Marzo, Roy Rillera , Mathangasinghe, Yasith , Mathews, Elezebeth , Mehmood, Asim , Mehrabani-Zeinabad, Kamran , Menezes, Ritesh G. , Meo, Sultan A , Meretoja, Atte , Meštrović, Tomislav , Sá, Ana Carolina Micheletti Gomide Nogueira de , Minh, Le Huu Nhat , Mirică, Andreea , Мirrakhimov, Erkin М , Mirza‐Aghazadeh‐Attari, Mohammad , Mishra, Ajay Kumar , Mohamed, Ahmed Ismail , Mohammadi, Soheil , Mohammadian-Hafshejani, Abdollah , Mokdad, Ali H. , Molinaro, Sabrina , Momani, Shaher , Ghalibaf, AmirAli Moodi , Moradi, Maryam , Msherghi, Ahmed A.A. , Ansari, Noureddin Nakhostin , Nargus, Shumaila , Natto, Zuhair S. , Nauman, Javaid , DELETE-ME, Nawsherwan, Nayak, Vinod C , Newton, Charles R. , Nigatu, Yeshambel T. , Noubiap, Jean Jacques , Nugen, Fred , Oduro, Michael Safo , Okati‐Aliabad, Hassan , Okeke, Sylvester Reuben , Okekunle, Akinkunmi Paul , Olagunju, Andrew T , Olaiya, Muideen Tunbosun , Olufadewa, Isaac Iyinoluwa , Ornello, Raffaele , Ortiz‐Prado, Esteban , Ouyahia, Amel , Owolabi, Mayowa , Padrón‐Monedero, Alicia , Padubidri, Jagadish Rao , Panos, Leonidas D , Pantazopoulos, Ioannis N. , Parikh, Romil R., Patel, Jay , Patel, Urvish , Patoulias, Dimitrios , Pereira, Gavin F , Perianayagam, Arokiasamy , Perna, Simone , Petermann‐Rocha, Fanny , Philip, Anil K. , Пирадов, М. А. , Pradhan, Jalandhar , Puvvula, Jagadeesh , Qasim, Nameer Hashim , Raggi, Alberto , Rahimi‐Movaghar, Vafa , Rahman, Muhammad Aziz , Rahmani, Amir Masoud , Sanati, Ali Rajabpour , Ramasamy, Shakthi Kumaran , Ramazanu, Sheena , Rathish, Devarajan , Rawaf, Salman , Redwan, Elrashdy M , Remuzzi, Giuseppe , Romoli, Michele, Romozzi, Marina , Ross, Allen Guy , Rout, Himanshu Sekhar , Roy, Priyanka , Saad, Aly M A , Saadatian, Zahra , Sabour, Siamak , Sacco, Simona , Sadeghi, Erfan , Saeed, Usman, Sharif‐Askari, Fatemeh Saheb , Sahebkar, Amirhossein , Sajib, Md Refat Uz Zaman , Saleh, Mohamed A. , Samodra, Yoseph Leonardo , MİLİCEVİC, Milena Santric, Saravanan, Aswini , Sarkar, Tanmay, Sarode, Sachin Chakradhar , Sartorius, Benn , Satpathy, Maheswar , Schneider, Ione Jayce Ceola , Schuermans, Art , Selvaraj, Siddharthan , Senthilkumaran, Subramanian , Sepanlou, Sadaf Ghajarieh , Shahwan, Moyad Jamal , Shamim, Muhammad Aaqib , Shamsi, Anas , Shannawaz, Mohammed , Rad, Javad Sharifi, Sharma, Vishal , Shittu, Aminu , Shiue, Ivy , Shlobin, Nathan A. , Siddig, Emmanuel Edwar , Spartalis, Michael , Stanaway, Jeffrey D , Starodubova, Antonina Vladimirovna , Szarpak, Łukasz , Tabatabaeizadeh, Seyed‐Amir , Tabatabaeizadeh, Seyed-Amir, Talaat, Iman Mamdouh , Temsah, Mohamad‐Hani , Thakur, Ramna , Thirunavukkarasu, Sathish, Tiwari, Krishna, Truyen, Thien Tan Tri Tai , Tsai, Daniel Hsiang‐Te , Ullah, Atta , Unnikrishnan, Bhaskaran , Unsworth, Carolyn Anne, Usman, Jibrin Sammani , Valizadeh, Rohollah , Varghese, Joe , Vasankari, Tommi Juhani , Venketasubramanian, Narayanaswamy , Vervoort, Dominique , Villafañe, Jorge Hugo , Vinayak, Manish , Wafa, Hatem A , Walde, Mandaras Tariku, Willeit, Peter , Wolfe, Charles D.A. , Wolfe, Charles D. A., Yamagishi, Kazumasa , Yaribeygi, Habib , Yaya, Sanni , Ye, Pengpeng, Yonemoto, Naohiro , Yu, Chuanhua , Zastrozhin, Michael, Zhang, Chen , Zhang, Zhiqiang, Zielińska, Magdalena , Zyoud, Samer H. , Roth, Gregory A. , Feigin, Valery L. , Kulimbet, Mukhtar , Rahim, Fakher

Mayo Clinic

JAMA Neurology | May 23, 2025 | Volume: 82 | Issue: 8 | Pages: 765

10.1001/jamaneurol.2025.1522 | PMID 40406922 Get It

Importance Nontraumatic subarachnoid hemorrhage (SAH) represents the third most common stroke type with unique etiologies, risk factors, diagnostics, and treatments. Nevertheless, epidemiological studies often cluster SAH with other stroke types leaving its distinct burden estimates obscure. Objective To estimate the worldwide burden of SAH. Design, Setting, and Participants Based on the repeated cross-sectional Global Burden of Disease (GBD) 2021 study, the global burden of SAH in 1990 to 2021 was estimated. Moreover, the SAH burden was compared with other diseases, and its associations with 14 individual risk factors were investigated with available data in the GBD 2021 study. The GBD study included the burden estimates of nontraumatic SAH among all ages in 204 countries and territories between 1990 and 2021. Exposures SAH and 14 modifiable risk factors. Main Outcomes and Measures Absolute numbers and age-standardized rates with 95% uncertainty intervals (UIs) of SAH incidence, prevalence, mortality, and disability-adjusted life-years (DALYs) as well as risk factor–specific population attributable fractions (PAFs). Results In 2021, the global age-standardized SAH incidence was 8.3 (95% UI, 7.3-9.5), prevalence was 92.2 (95% UI, 84.1-100.6), mortality was 4.2 (95% UI, 3.7-4.8), and DALY rate was 125.2 (95% UI, 110.5-142.6) per 100 000 people. The highest burden estimates were found in Latin America, the Caribbean, Oceania, and high-income Asia Pacific. Although the absolute number of SAH cases increased, especially in regions with a low sociodemographic index, all age-standardized burden rates decreased between 1990 and 2021: the incidence by 28.8% (95% UI, 25.7%-31.6%), prevalence by 16.1% (95% UI, 14.8%-17.7%), mortality by 56.1% (95% UI, 40.7%-64.3%), and DALY rate by 54.6% (95% UI, 42.8%-61.9%). Of 300 diseases, SAH ranked as the 36th most common cause of death and 59th most common cause of DALY in the world. Of all worldwide SAH-related DALYs, 71.6% (95% UI, 63.8%-78.6%) were associated with the 14 modeled risk factors of which high systolic blood pressure (population attributable fraction [PAF] = 51.6%; 95% UI, 38.0%-62.6%) and smoking (PAF = 14.4%; 95% UI, 12.4%-16.5%) had the highest attribution. Conclusions and Relevance Although the global age-standardized burden rates of SAH more than halved over the last 3 decades, SAH remained one of the most common cardiovascular and neurological causes of death and disabilities in the world, with increasing absolute case numbers. These findings suggest evidence for the potential health benefits of proactive public health planning and resource allocation toward the prevention of SAH.
Utility of MRI and CT in Sports Cardiology
Kumar, Vinayak , Domènech-Ximenos, Blanca , Francone, Marco , Allison, Thomas G. , Rajiah, Prabhakar , Kumar, Vinayak , Domenech-Ximenos, Blanca , Francone, Marco , Broncano, Jordi, Rajiah, Prabhakar , Broncano, Jordi

Mayo Clinic

RadioGraphics | February 27, 2025 | Volume: 45 | Issue: 3 | Pages: No page available

10.1148/rg.240045 | PMID 40014471 Get It

MRI and CT play an important role in sports cardiology, including preparticipation evaluation, distinguishing adaptive changes of athlete’s heart from pathologic entities, and evaluation following cardiovascular symptoms or adverse events.
Management and Outcomes of Pulmonary Embolism in Women of Reproductive Age Admitted to Urban Versus Rural Areas Compared to Men
Bansal, Mridul , Mehta, Aryan , Ahmad, Khansa , Bortnick, Anna E. , Abbott, J. Dawn , Vallabhajosyula, Saraschandra, Vallabhajosyula, Saraschandra , Dawn Abbott, J , Vallabhajosyula, Saraschandra , Ahmad, Khansa , Nagaraja, Vinayak , Hyder, Omar N.

Mayo Clinic

Catheterization and Cardiovascular Interventions | December 11, 2024 | Volume: 105 | Issue: 1 | Pages: 193-199

10.1002/ccd.31344 | PMID 39659102 Get It

ABSTRACT There are limited and conflicting data on sex and urban‐rural disparities in outcomes of patients with pulmonary embolism (PE) in the reproductive age group. Our object was to assess sex disparities in the reproductive age group cohort. All adult non‐elective admissions in the reproductive age group (18−49 years) with a primary diagnosis of PE and with no missing sex/age data were identified using the National Inpatient Sample. Females and males were stratified into rural and urban location based on hospital information. Outcomes of interest included in‐hospital mortality, complication rates, variations in management, total hospitalization costs, and length of stay. During 01/01/2016 to 12/31/2020, 180,898 PE admissions aged 18−49 years were identified (rural—12,319 [6.8%]). Females comprised 54.8% and 55.1% of the rural and urban cohorts, respectively. Overall, compared to males, females in urban and rural regions had largely comparable rates of definitive PE interventions, except lower rates of catheter directed therapy (4.7 vs. 3.6%, p < 0.001) in females admitted to urban hospitals. Despite younger age, higher comorbidity, and lower utilization of PE interventions, females in both regions had similar unadjusted in‐hospital mortality (rural 1.1% vs. 1.0%; p = 0.93 and urban 1.8% vs. 1.7%; p = 0.78) and hospitalization costs compared to males. In conclusion, females of reproductive age group had comparable in‐hospital outcomes to males in both urban and rural areas. Females in urban areas had lower utilization of advanced PE interventions, potentially indicating selective management strategies in different settings.
Volumetric Breast Density Estimation From Three-Dimensional Reconstructed Digital Breast Tomosynthesis Images Using Deep Learning
Ahluwalia, Vinayak S. , Doiphode, Nehal, Mankowski, Walter C. , Cohen, Eric A. , Pati, Sarthak , Pantalone, Lauren , Brooks, Ari D. , Vachon, Celine M. , Conant, Emily F. , Brooks, Ari , Vachon, Celine M. , Conant, Emily F , Gastounioti, Aimilia , Kontos, Despina , Mankowski, Walter C , Bakas, Spyridon , Gastounioti, Aimilia

Mayo Clinic

JCO Clinical Cancer Informatics | December 9, 2024 | Volume: No volume available | Issue: 8 | Pages: No page available

10.1200/cci.24.00103 | PMID 39652797 Get It

PURPOSE Breast density is a widely established independent breast cancer risk factor. With the increasing utilization of digital breast tomosynthesis (DBT) in breast cancer screening, there is an opportunity to estimate volumetric breast density (VBD) routinely. However, current available methods extrapolate VBD from two-dimensional (2D) images acquired using DBT and/or depend on the existence of raw DBT data, which is rarely archived by clinical centers because of storage constraints. METHODS We retrospectively analyzed 1,080 nonactionable three-dimensional (3D) reconstructed DBT screening examinations acquired between 2011 and 2016. Reference tissue segmentations were generated using previously validated software that uses 3D reconstructed slices and raw 2D DBT data. We developed a deep learning (DL) model that segments dense and fatty breast tissue from background. We then applied this model to estimate %VBD and absolute dense volume (ADV) in cm 3 in a separate case-control sample (180 cases and 654 controls). We created two conditional logistic regression models, relating each model-derived density measurement to likelihood of contralateral breast cancer diagnosis, adjusted for age, BMI, family history, and menopausal status. RESULTS The DL model achieved unweighted and weighted Dice scores of 0.88 (standard deviation [SD] = 0.08) and 0.76 (SD = 0.15), respectively, on the held-out test set, demonstrating good agreement between the model and 3D reference segmentations. There was a significant association between the odds of breast cancer diagnosis and model-derived VBD (odds ratio [OR], 1.41 [95 % CI, 1.13 to 1.77]; P = .002), with an AUC of 0.65 (95% CI, 0.60 to 0.69). ADV was also significantly associated with breast cancer diagnosis (OR, 1.45 [95% CI, 1.22 to 1.73]; P < .001) with an AUC of 0.67 (95% CI, 0.62 to 0.71). CONCLUSION DL-derived density measures derived from 3D reconstructed DBT images are associated with breast cancer diagnosis.
Contemporary Outcomes of TAVR Using a Balloon-Expandable Valve in Patients With Severe Mitral Stenosis: Insights From the Transcatheter Valve Therapies Registry
Ahmad, Imran, Flaherty, James D. , Nagaraja, Vinayak , Huded, Chetan , Reed, Grant W. , Puri, Rishi , Rassi, Andrew N., Goel, Sachin S. , Jneid, Hani , Zahr, Firas , Krishnaswamy, Amar , Kumar, Anirudh , Flaherty, James D , Nagaraja, Vinayak , Huded, Chetan P , Reed, Grant W , Puri, Rishi , Goel, Sachin S , Jneid, Hani , McCabe, James M , Guerrero, Mayra E , Zahr, Firas , Krishnaswamy, Amar , Kapadia, Samir , Ahmad, Imran N., Guerrero, Mayra , Kapadia, Samir

Mayo Clinic

Circulation: Cardiovascular Interventions | November 22, 2024 | Volume: 17 | Issue: 12 | Pages: No page available

10.1161/circinterventions.124.014216 | PMID 39575576 Get It

BACKGROUND: While initial data for transcatheter aortic valve replacement (TAVR) in aortic stenosis patients with mitral stenosis (MS) suggested a poor short-term prognosis, outcomes for contemporary balloon-expandable valves remain unknown. The aim of this retrospective multicenter registry study was to compare the potential impact of MS on TAVR outcomes with balloon-expandable valves. METHODS: Society of Thoracic Surgeons/American College of Cardiology Transcatheter Valve Therapies Registry and Centers for Medicare & Medicaid Services claims data were used to obtain a cohort of 327 925 patients who underwent TAVR with current balloon-expandable valves (SAPIEN 3, SAPIEN 3 Ultra, or SAPIEN 3 Ultra Resilia) between June 2015 and December 2022 across 791 sites. Severe MS (defined as >10 mm Hg mean gradient or <1.5 cm 2 area) was compared with mild or less MS (defined as <5 mm Hg mean gradient and >2 cm 2 area) using propensity matching to minimize confounding variables. RESULTS: Patients with severe MS (n=8500; 2.6%) had a higher number of comorbid conditions, Society of Thoracic Surgeons risk scores, and were more often women than patients with mild or less MS at the time of index TAVR. While patients with severe MS had worse outcomes at 30 days, when propensity-matched, patients exhibited similar 30-day rates of death (3.2% versus 3.0%), stroke (2.4% versus 2.2%), major vascular complications (1.6% versus 1.6%), device implant success (98.9% versus 99.2%), and new dialysis (0.7% versus 0.5%), with higher rates of pacemaker implantation (11.3% versus 9.4%; P <0.001). By 1 year, there was no difference in the change in the KCCQ (Kansas City Cardiomyopathy Questionnaire) overall score from baseline to 1 year (30.7±27.0 versus 31.9±27.0; P =0.07). By 3 years, an increase in the mortality rate (45.1% versus 40.9%; P <0.001) of patients with severe MS was observed. CONCLUSIONS: MS in isolation is not associated with worsened short-term outcomes among patients undergoing contemporary TAVR with balloon-expandable valves.
Seven-year outcomes after surgical aortic valve replacement with a stented bovine pericardial bioprosthesis in over 1100 patients: a prospective multicentre analysis
Sabik, Joseph F. , Rao, Vivek , Dagenais, François, Moront, Michael G., Patel, Himanshu J. , Oh, Jae K. , Fukuhara, Shinichi , Labrousse, Louis , Günzinger, Ralf, Wu, Tianhua, Investigators, PERIGON, Pettersson, Gosta, Koprivanac, Marijan, Svensson, Lars, Brown, W Morris, Gammie, James, Dawood, Murtaza, Moront, Michael G, Raikar, Goya, Tahirkheli, Naeem, Cannon, Michael, Kress, David, Ribakove, Greg, Patel, Himanshu J, Kerendi, Faraz, Fullerton, David, Baker, Craig, Beaver, Thomas, Ramlawi, Basel, Reardon, Michael J, Aldea, Gabriel, Sundt, Thoralf, Duff, Steven, Steffen, Robert J, Kshettry, Vibhu, Borger, Michael, Takeda, Koji, Adams, David H, Fischbein, Michael, Hagberg, Robert, Ruel, Marc, Rao, Vivek, Dagenais, Francois, Cartier, Raymond, Chu, Michael, Kaufeld, Tim, Shrestha, Malakh, Alfieri, Ottavio, Bensari, Nawel, Holubec, Tomas, Weber, Alberto, Ouda, Ahmed, Falk, Volkmar, Schönhoff, Florian, Carrel, Thierry, Labrousse, Louis, Klautz, Robert J M, Leeuwen, Wouter J van, Kappetein, Ari Pieter, Walther, Thomas, Moritz, Anton, Baig, Kamran, Bapat, Vinayak, Kuhn, Elmar, Wahlers, Thorsten, Kiefer, Philipp, Misfeld, Martin, Günzinger, Ralf, Lange, Rudiger, Chu, Michael , Reardon, Michael J , Patel, Himanshu J , Labrousse, Louis , Ito, Saki , Chu, Michael W A , Reardon, Michael J. , Baig, Kamran M. , Ito, Saki , Klautz, Robert J.M. , Investigators, PERIGON, Pettersson, Gosta, Koprivanac, Marijan, Svensson, Lars, Brown, W Morris, Gammie, James, Dawood, Murtaza, Moront, Michael G, Raikar, Goya, Tahirkheli, Naeem, Cannon, Michael, Kress, David, Ribakove, Greg, Patel, Himanshu J, Kerendi, Faraz, Fullerton, David, Baker, Craig, Beaver, Thomas, Ramlawi, Basel, Reardon, Michael J, Aldea, Gabriel, Sundt, Thoralf, Duff, Steven, Steffen, Robert J, Kshettry, Vibhu, Borger, Michael, Takeda, Koji, Adams, David H, Fischbein, Michael, Hagberg, Robert, Ruel, Marc, Rao, Vivek, Dagenais, Francois, Cartier, Raymond, Chu, Michael, Kaufeld, Tim, Shrestha, Malakh, Alfieri, Ottavio, Bensari, Nawel, Holubec, Tomas, Weber, Alberto, Ouda, Ahmed, Falk, Volkmar, Schönhoff, Florian, Carrel, Thierry, Labrousse, Louis, Klautz, Robert J M, Leeuwen, Wouter J van, Kappetein, Ari Pieter, Walther, Thomas, Moritz, Anton, Baig, Kamran, Bapat, Vinayak, Kuhn, Elmar, Wahlers, Thorsten, Kiefer, Philipp, Misfeld, Martín , Günzinger, Ralf, Lange, Rudiger

Mayo Clinic

European Journal of Cardio-Thoracic Surgery | November 18, 2024 | Volume: 67 | Issue: 1 | Pages: No page available

10.1093/ejcts/ezae414 | PMID 39565905 Get It

Abstract OBJECTIVES Safety, efficacy and durability are important considerations when selecting a bioprosthesis for aortic valve replacement (AVR). This study assessed 7-year clinical outcomes and haemodynamic performance of the Avalus bioprosthesis. METHODS Patients indicated for surgical AVR were enrolled in this prospective, nonrandomized trial, conducted across 39 sites globally. The primary end-point of this analysis was freedom from surgical explant or percutaneous valve-in-valve reintervention due to structural valve deterioration (SVD) at 7 years of follow-up, determined using Kaplan–Meier (KM) analysis. We also evaluated a composite end-point of SVD and/or severe haemodynamic dysfunction requiring reintervention. Survival, valve-related safety events and haemodynamic performance were assessed. Deaths and safety events were adjudicated by an independent clinical events committee. RESULTS A total of 1132 patients underwent surgical AVR. Mean age was 70 years; 854 patients (75%) were men. The mean STS risk of mortality was 2.0 ± 1.4%, and 659 patients (58%) had a New York Heart Association classification of I/II. One or more concomitant procedures were performed in 577 patients (51%). At 7 years, the Kaplan–Meier rate of freedom from SVD/severe haemodynamic dysfunction requiring reintervention was 1.2% (0.5–2.5%) with no cases adjudicated as SVD. The survival rate was 82.6% (79.5–85.0%). The KM event rate was 5.7% (4.3–7.7%) for reintervention, 6.3% (4.9–8.3%) for endocarditis and 0.4% (0.1–1.1%) for valve thrombosis. Mean aortic gradient, dimensionless velocity index and effective orifice area were 13.8 ± 5.9 mmHg, 0.42 ± 0.09 and 1.99 ± 0.53 cm2, respectively. CONCLUSIONS This analysis demonstrated excellent durability of the Avalus valve with good clinical outcomes and stable haemodynamic performance through 7 years of follow-up.