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Association of Pathogenic/Likely Pathogenic Genetic Variants for Cardiomyopathies With Clinical Outcomes: A Multiancestry Analysis in the All of Us Research Program
Shetty, Naman S. , Pampana, Akhil , Gaonkar, Mokshad , Patel, Nirav , Vekariya, Nehal , Smith, J. G. , Kalra, Rajat , Chahal, C. Anwar A. , Semsarian, Christopher , Li, Peng , Arora, Garima, Smith, J Gustav , Arora, Pankaj , Chahal, Choudhary Anwar A , Pampana, Akhil , Li, Peng , Arora, Pankaj

Circulation: Genomic and Precision Medicine | May 28, 2025 | Volume: 18 | Issue: 3 | Pages: No page available

10.1161/circgen.124.005113 | PMID 40433684 Get It

BACKGROUND: This study aimed to evaluate the prevalence of pathogenic/likely pathogenic cardiomyopathy variant carriers in a multiancestry US population and examine the risk of adverse clinical outcomes. METHODS: This retrospective cohort study included multiancestry US adults aged ≥18 years with sequencing data from the All of Us Research Program. Pathogenic/likely pathogenic variants in cardiomyopathy genes were identified using the ClinVar database. The primary outcome was heart failure. Secondary outcomes included cardiomyopathy and arrhythmia. Outcomes were identified from electronic health records. Interval-censored Cox models, taking age on the timescale, were used to assess the risk of outcomes in pathogenic/likely pathogenic variant carriers with noncarriers as the reference group. RESULTS: Among 167 435 individuals (median age, 55.2 [39.5–66.3] years; 61.7% female; 40.7% non-European ancestry) included, the prevalence of pathogenic/likely pathogenic cardiomyopathy variant carriers was 0.7% in the overall population and 0.8%, 0.8%, 0.5%, and 1.2% among European, African, East Asian, and South Asian ancestry individuals, respectively. Over their lifetime, there were 12 867 heart failure events (205 in carriers and 12 662 in noncarriers), with an incidence rate of 3.05 (95% CI, 2.66–3.49) per 1000 person-years in carriers and 1.37 (95% CI, 1.35–1.40) in noncarriers (adjusted hazard ratio, 2.30 [95% CI, 2.04–2.60]). Cardiomyopathy occurred in 5164 (161 in carriers and 5003 in noncarriers), with an incidence rate of 2.38 (95% CI, 2.04–2.78) per 1000 person-years among carriers and 0.54 (95% CI, 0.53–0.56) in noncarriers (adjusted hazard ratio, 4.31 [95% CI, 3.73–4.97]). There were 19 405 arrhythmia events (263 in carriers and 19 142 in noncarriers), with an incidence rate of 3.93 (95% CI, 3.48–4.44) per 1000 person-years among carriers and 2.09 (95% CI, 2.06–2.12) in noncarriers (adjusted hazard ratio, 2.12 [95% CI, 1.78–2.53]). CONCLUSIONS: Pathogenic/likely pathogenic cardiomyopathy variant carriers have an increased risk of heart failure, cardiomyopathy, and arrhythmias. Despite the modest overall prevalence, the associated risks suggest potential benefits of targeted genetic screening for early detection and management.
Cardiac amyloidosis detection from a single echocardiographic video clip: a novel artificial intelligence-based screening tool
Hawkes, Will, Woodward, Gary , Hamza, Izhan, Desai, Viral , Barrett‐O’Keefe, Zachary , Grogan, Martha, Davison, Halley, Maurer, Mathew S. , Helmke, Stephen , Scherrer‐Crosbie, Marielle , Soltani, Marwa , Goyal, Akash , Zaręba, Karolina M. , Cheng, Richard K. , Vieira, Marcelo Luiz Campos , Elissamburu, Pablo , Ronderos, Ricardo , Prado, Aldo , Sarswat, Nitasha , Addetia, Karima , Ruberg, Frederick L. , Randazzo, Michael , Al-Roub, Nora , Kidd, Liam, Lang, Roberto M. , Pellikka, Patricia A. , Barrett-O'Keefe, Zachary, Scott, Christopher , Davison, Halley N, Cheng, Richard , Kirkpatrick, James N , Koutroumpakis, Efstratios , Deswal, Anita M , Pursnani, Amit , Pellikka, Patricia A , Slivnick, Jeremy A. , Hawkes, Will, OLIVEIRA, JORGE COELHO , Akerman, Ashley, Gómez, Alberto , Grogan, Martha , Dispenzieri, Angela , Scott, Christopher G. , Cotella, Juan Ignacio , Maurer, Mathew S , Kitano, Tetsuji , Takeuchi, Masaaki , Hotta, Viviane Tiemi , Patel, Amit R. , Asch, Federico M. , O’Driscoll, Jamie M. , Strom, Jordan B. , Kidd, Liam, Cuddy, Sarah A. M. , Upton, Ross

European Heart Journal | May 26, 2025 | Volume: 46 | Issue: 40 | Pages: 4090-4101

10.1093/eurheartj/ehaf387 | PMID 40631729 Get It

Abstract Background and Aims Accurate differentiation of cardiac amyloidosis (CA) from phenotypic mimics remains challenging using current clinical and echocardiographic techniques. The accuracy of a novel artificial intelligence (AI) screening algorithm for echocardiography-based CA detection was assessed. Methods Utilizing a multisite, multiethnic dataset (n = 2612, 52% CA), a convolutional neural network was trained to differentiate CA from phenotypic controls using transthoracic apical four-chamber video clips. External validation was conducted globally across 18 sites including 597 CA cases and 2122 controls. Classification accuracy was assessed on the entire external validation dataset, and subgroup analyses were performed both on technetium pyrophosphate scintigraphy referrals, and individuals matched for age, sex, and wall thickness. Model accuracy was also compared with the transthyretin CA score and the increased wall thickness score within a subset of older heart failure with preserved ejection fraction patients with increased wall thickness. Results Cardiac amyloidosis patients and controls displayed similar age, sex, race, and comorbidities. After the removal of uncertain AI predictions (13%), model discrimination and classification were excellent for the entire external validation dataset [area under the receiver operating characteristic curve (AUROC) 0.93, sensitivity 85%, specificity 93%], irrespective of CA subtype (sensitivity: light-chain = 84%, wild-type transthyretin = 85%, and hereditary transthyretin = 86%). Performance was maintained in subgroup analysis in patients clinically referred for technetium pyrophosphate scintigraphy imaging (AUROC 0.86, sensitivity 77%, specificity 86%) and matched patients (AUROC 0.92, sensitivity 84%, specificity 91%). The AI model (AUROC 0.93) also outperformed transthyretin CA score (AUROC 0.73) and increased wall thickness (AUROC 0.80) scores. Conclusions This AI screening model—using only an apical four-chamber view—effectively differentiated CA from other causes of increased left ventricular wall thickness.
Understanding the impact of amyloid beta targeted therapies on biomarkers and clinical endpoints in Alzheimer's disease
Petersen, Ronald C. , Graf, Ana, Atkins, Alexandra S. , Murphy, Jennifer, Miller, David S. , Reyderman, Larisa, Siemers, Eric , Smith, Janice , Carrillo, María C. , Weber, Christopher J., Bryś, Mirosław , Murphy, Jennifer

Alzheimer's & Dementia: Translational Research & Clinical Interventions | May 24, 2025 | Volume: 11 | Issue: 2 | Pages: No page available

10.1002/trc2.70069 | PMID 40417267 Get It

Abstract The Alzheimer's disease (AD) scientific field continues to make significant advances in early detection and treatments, which importantly rest on advances in our fundamental understanding of AD pathobiology and its contribution to cognitive decline. Clinical readouts of monoclonal antibodies against various forms of the amyloid beta (Aβ) protein indicate that the impact of these treatments may extend beyond reduction in amyloid plaques. The Alzheimer's Association Research Roundtable meeting held on May 17 and 18, 2022, reviewed our understanding to date of the impact of treatments targeting various species of Aβ; its impact on other related pathophysiology including tau; and ultimately, its effects on neurodegeneration and clinical decline, driven by the latest available data. Participants discussed the current evidence for a causal relationship among amyloid accumulation, tau alteration, and cognitive decline; the effect of anti‐amyloid therapies on clinical and biomarker endpoints; and how we can accelerate the pathway to therapeutic approval and what should guide us for the near future. Highlights The Alzheimer's Association Research Roundtable convened leaders from industry and academia, as well as patients, clinicians, and government and regulatory agency scientists to discuss the topic “Current Understanding of AD Pathophysiology & Impact of Amyloid‐beta Targeted Treatments on Biomarkers and Clinical Endpoints.” The totality of scientific evidence (clinical trials, animal data, modeling, and observational studies) on the relationship between amyloid beta (Aβ), amyloid, tau, and cognitive impairment is helping our understanding of the downstream effects and overall importance of lowering amyloid plaque load. Based on data from multiple phase 2 and 3 clinical trials of anti‐amyloid monoclonal antibodies, there is strong evidence to support that a sufficiently large reduction in amyloid plaque load to near‐normal levels is associated with positive changes in tau biomarkers and clinical endpoints. Reduction of Aβ plaque, measured easily by plasma amyloid biomarkers, is reasonably likely to predict benefit in clinical outcome measures.
A comparative study on the effect of age on Neck Disability Index improvement at 24 months after surgical intervention for cervical spondylotic myelopathy: a Quality Outcomes Database study
Sherrod, Brandon A. , Rosero, Spencer , Chan, Andrew K. , Shaffrey, Christopher I., Gottfried, Oren N., Bydon, Mohamad , Asher, Anthony L. , Coric, Domagoj , Potts, Eric A. , Foley, Kevin T. , Wang, Michael Y. , Fu, Kai-Ming, Virk, Michael S. , Knightly, John J. , Meyer, Scott A., Upadhyaya, Cheerag D., Shaffrey, Mark E., Tumialán, Luis M. , Turner, Jay D. , Chou, Dean , Haid, Regis W., Mummaneni, Praveen V., Bisson, Erica F. , Porche, Ken M. , Shaffrey, Christopher I. , Fu, Kai-Ming, Uribe, Juan S. , Mummaneni, Praveen V. , Park, Paul

Journal of Neurosurgery: Spine | May 23, 2025 | Volume: 43 | Issue: 2 | Pages: 154-169

10.3171/2025.3.spine24598 | PMID 40408883 Get It

OBJECTIVE Cervical spondylotic myelopathy (CSM) is often accompanied by neck pain, which, along with more recognized neurological deficits like motor and sensory changes, significantly impacts patients’ quality of life. The authors examined whether age influences improvements in neck disability and related quality-of-life measures after surgery for CSM. Using the Neck Disability Index (NDI) as the primary outcome, they compared long-term outcomes at 24 months among patients aged ≥ 65, ≥75, and < 65 years, exploring the effects of surgical intervention on both pain-related disability and functional recovery in older adults. METHODS Using the Quality Outcomes Database, the authors conducted a detailed propensity score–matched analysis on cohorts aged ≥ 65 and ≥ 75 years compared with a < 65-year-old cohort while controlling for baseline NDI scores, other demographic variables, health status, underlying pathology, number of levels, indication for surgery, surgical approach, and type of surgery. Differences in NDI total and subdomain scores at 24 months postoperatively were the primary measures of improvement. Age-related variability in NDI differential was assessed. EQ-5D and calculated SF-6D were secondary measures. RESULTS Of the 1141 patients in the cohort (January 2016 to December 2018), 687 patients were < 65 years, 325 were 65 to < 75 years, and 129 were ≥ 75 years of age. After propensity score matching, 197 patients each were well matched in the ≥ 65-year (mean 71.4 years) and < 65-year (mean 55.3 years) cohorts; similarly, 57 patients each were matched in the ≥ 75-year (mean 78.3 years) and < 65-year (mean 55.8 years) cohorts. Improvements in NDI scores and subdomain scores, EQ-5D, and calculated SF-6D were consistent at 3, 12, and 24 months postoperatively across all cohorts. At 24 months, patients ≥ 65 years showed NDI score improvements (−14.7 ± 22.3) similar to those < 65 years (−13.0 ± 21.3, p = 0.454), and patients ≥ 75 years demonstrated NDI improvements (−15.0 ± 19.7) comparable to those < 65 years (−17.6 ± 20.4, p = 0.499). A sensitivity analysis for linear relationship found that NDI improvement was statistically greater in older patients (7.5 points every 30 years, p < 0.0001), but this difference was below the minimal clinically important difference. Other clinical outcomes were similar between cohorts. CONCLUSIONS Surgical intervention for CSM yields substantial and similar improvements in NDI scores and other metrics among various age groups, including those aged at least 65 and 75 years. These results highlight the effectiveness of surgery across a broad patient demographic, underscoring its value in treating CSM irrespective of age.
Outcomes of medical and surgical management in infectious intracranial aneurysms: a multicenter cohort analysis
Alawieh, Ali , Zohdy, Youssef M. , Koo, Andrew B. , Saad, Hassan , Baba, Bachar El , Newman, Sarah, Grossberg, Jonathan A , Matouk, Charles , Cawley, C. Michael, Reisner, Andrew , Perez‐Vega, Carlos , Burkhardt, Jan‐Karl , Salem, Mohamed M , Jabbour, Pascal , Naamani, Kareem El, Gooch, M Reid, Starke, Robert M., Abdelsalam, Ahmed , Lu, Victor M , Chalhoub, Reda , Spiotta, Alejandro M , Alawieh, Ali M , Zohdy, Youssef M , Koo, Andrew B , El Baba, Bachar , Grossberg, Jonathan A , Matouk, Charles , Fox, W Christopher , Perez-Vega, Carlos , Jabbour, Pascal , Levitt, Michael R , Chalhoub, Reda M , Spiotta, Alejandro M , Howard, Brian M , Burkhardt, Jan‐Karl , Dimisko, Laurie , Pradilla, Gustavo , Naamani, Kareem El , Schmidt, Richard F. , Gooch, Michael Reid , Abdelsalam, Ahmed, Levitt, Michael R. , Kobeissy, Firas , Barrow, Daniel L.

Journal of NeuroInterventional Surgery | May 23, 2025 | Volume: 18 | Issue: 4 | Pages: 1079-1086

10.1136/jnis-2025-023421 | PMID 40409986 Get It

Introduction Infectious intracranial aneurysms (IIAs) are rare but serious complications of systemic infections, particularly infective endocarditis. These aneurysms are prone to rupture, leading to significant morbidity and mortality. Management strategies lack consensus due to the rarity of the condition and reliance on small case series. This study examines the clinical management of IIAs using data from a large multicenter cohort. Methods A retrospective registry-based cohort study was conducted across 11 tertiary care centers in the USA between 2018 and 2023. Patients with IIAs were identified based on clinical and radiographic criteria. The primary outcome was treatment failure defined as persistence, growth, or rupture of the aneurysm. Secondary outcomes were mortality and the modified Rankin Scale (mRS) score at 90 days and 1 year. Multivariate logistic regressions were used to identify outcome predictors. Results A total of 104 patients with 166 aneurysms were included, with a median age of 43 years. Medical management was successful in 56% of cases, with failure often within 18 days of initiation. Predictors of failure included younger age, larger aneurysm size, and rupture at presentation. Surgical and endovascular interventions achieved higher success rates with better outcomes. At 90 days, 57% of patients achieved functional independence (mRS 0–2), while the mortality rate was 24%. Conclusion This study highlights the limitations of medical management for IIAs and underscores the need for early surgical or endovascular intervention in high-risk patients. Outcome predictors aid clinical decision-making, optimizing patient management. Further research is needed to standardize management guidelines for IIAs.
Long‐Term Impact of GLP‐1 Receptor Agonists on AF Recurrence After Ablation in Obese Patients
Patel, Harsh , Sheth, Aakash , Nair, Ambica , Patel, Bhavin , Narasimhan, Bharat , Mehta, Nishaki , Asad, Zain Ul Abideen , Kowlgi, Gurukripa N. , DeSimone, Christopher V. , Siontis, Konstantinos C. , Labedi, Mohamed, Deshmukh, Abhishek , Mehta, Nishaki , Asad, Zain Ul Abideen , Kowlgi, Narayan G , DeSimone, Christopher V , Deshmukh, Abhishek J , Patel, Bhavin A , Sheth, Aakash R , Thakkar, Samarthkumar , Dani, Sourbha S.

Journal of Cardiovascular Electrophysiology | May 23, 2025 | Volume: 36 | Issue: 8 | Pages: 1808-1816

10.1111/jce.16737 | PMID 40406931 Get It

ABSTRACT Background Obesity is an important risk factor associated with atrial fibrillation (AF). The impact of glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) on recurrent AF among patients undergoing catheter ablation is not well described. Objective This study aimed to evaluate the effect of GLP‐1 RA on the recurrence of AF among obese patients after catheter ablation. Methods Utilizing the TriNetX research network, we identified patients aged over 18 with obesity (BMI ≥ 30) who underwent AF ablation from January 1, 2015, to December 1, 2022, using Current Procedural Terminology codes. Patients were categorized based on their baseline GLP‐1 RA use. Through propensity‐score matching, each cohort comprised 1558 patients. The primary outcome encompassed a composite of cardioversion, initiation of new antiarrhythmic drug (AAD) therapy, or redo AF ablation. Additional outcomes during the 12‐month follow‐up included AF readmission, heart failure readmissions, readmissions due to ischemic stroke, and mortality, with a separate analysis done for patients with BMI > 40. Results GLP‐1 RA use in patients with obesity undergoing AF ablation was linked to a significantly reduced risk of cardioversion, new AAD therapy, and the need for redo AF ablation (hazard ratio [HR] 0.72 [0.65–0.80]; p < 0.001). At 12 months, individuals on GLP‐1 agonists exhibited a lower likelihood of mortality (HR 0.61 [0.40–0.93]; p < 0.001). Although all other secondary outcomes were lower in the GLP‐1 RA group, there was no significant difference in ischemic stroke between the groups. These results were consistent among patients with BMI > 40, although apart from ischemic stroke, there was no difference in mortality between the two groups. Conclusion The utilization of GLP‐1 RA in individuals with obesity is linked to a decreased likelihood of arrhythmia recurrence following AF ablation, leading to a reduced requirement for cardioversion, AAD therapy, or redo AF ablation.
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

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.
Right ventricular–pulmonary artery coupling in patients with tricuspid valve regurgitation: use of echo-derived pulmonary artery effective elastance
Kane, Conor J. , Anand, Vidhu , Padang, Ratnasari , Lara-Breitinger, Kyla , Bird, Jared, Thaden, Jeremy J. , Nkomo, Vuyisile T. , Kane, Garvan C. , Pislaru, Cristina , Lara-Breitinger, Kyla M , Bird, Jared G., Nkomo, Vuyisile T , Pislaru, Cristina , Scott, Christopher , Sabbah, Michael S. , Naser, Jwan A. , Scott, Christopher G. , Pislaru, Sorin V.

European Heart Journal - Cardiovascular Imaging | May 22, 2025 | Volume: 26 | Issue: 8 | Pages: 1477-1486

10.1093/ehjci/jeaf161 | PMID 40404292 Get It

Abstract Aims Tricuspid valve regurgitation (TR) is common and associated with increased mortality. The interaction between the pulmonary artery (PA) circulation and the right ventricle (RV) and association with outcomes is incompletely understood. The effective PA elastance (PA Ea) is a composite measure of RV afterload that refers to the pulmonary vascular load that the RV must overcome to eject blood. Whether PA Ea discriminates mortality risk in unselected patients with significant TR is unknown. Methods and results In consecutive patients with ≥moderate TR, we compared all-cause mortality at 5 years based on the PA Ea (defined as the RV systolic pressure/stroke volume as measured by transthoracic echocardiography). In a total of 12 682 patients, the median PA Ea was 0.7 mm Hg/mL (interquartile range 0.5, 0.9). Increasing levels of PA Ea were associated with heart failure, liver and kidney disease, and clinical markers of risk such as the Tricuspid Regurgitation Impact on Outcomes score. Increasing levels of PA Ea were associated with larger RVs, worse RV systolic function, higher N-terminal pro-brain natriuretic peptide levels, and greater degrees of right heart failure. After adjusting for age and sex, PA Ea was associated with higher risk of death (hazard ratio 1.55 per 0.5 mm Hg/mL change of PA Ea; 95% confidence intervals 1.51–1.60; P &lt; 0.0001). In multivariable modelling incorporating available clinical variables, PA Ea was independently predictive of outcome compared with other indexes of RV–PA coupling. Conclusion In patients with significant TR, higher PA Ea is progressively associated with RV dysfunction, right heart failure, and worse survival. Incorporating PA Ea into the routine echo assessment may help stratify risk.
Dysregulated Tricarboxylic Acid Cycle Metabolism Is Associated With Right Ventricular Maladaptation in Pulmonary Vascular Disease
Rosen, Darin , Kolb, Todd M. , Mathai, Stephen C. , Suresh, Karthik , D’Amico, Rachel, Hsu, Steven , Tedford, Ryan J. , Hemnes, Anna R. , Leopold, Jane A. , Horn, Evelyn M. , Erzurum, Serpil C. , Beck, Gerald J. , Hill, Nicholas S. , Farha, Samar , Grünig, Gabriele , Jellis, Christine , Kwon, Deborah , Park, Margaret , Xiao, L, Fessel, Jeffrey , Fu, Yongping , Postow, Lisa, Schmetter, Barry, Sutliff, R, Tian, Xuefei , Joseloff, Elizabeth, Wong, Brenda , Lawler, Laurie, Maron, B, Haythe, Jennifer , Krishnan, Udhay , Payne, David A., Bergman, Geoffrey , Bastert, K, Devereux, Richard B. , Kim, Ju Youn , Lohman, Julia, Racanelli, Alexandra C. , Ricketts, Michelle L., Sobol, Irina , Singh, Harsimran , Weinsaft, Jonathan W. , Mathai, S.C. , Carey, Kyle A. , Damico, Rachel L. , Enobun, Blessing , Sanni, Y, Brock, Heinz, Durst, Louise A., Head, Denise , Foley, Thomas A. , Gochanour, Benjamin R. , Halbach, H, Krowka, Michael J. , Menon, David K. , Park, Gyu Tae , Redfield, Margaret M. , Rohwer, Kristi, Williamson, Eric E. , Vanderpool, R, Yuan, Jason X.‐J. , Lim, C.S., Abidov, Aiden , Erickson, Harold , Cunningham, James M. , Pugh, Meredith E., Robbins, Ivan M. , Beck, Gerald J. , Aldred, Micheala A. , Asosingh, Kewal, Aylor, Joan, Beck, B, Borowski, A, Collart, Clara, Comhair, S.A.A., Drinko, Jeanne K., Finet, J. Emanuel , Flinn, Aisling M. , Geraci, M, Jacob, Miriam , Kanta, Alexandra, Larive, Brett , Lempel, Jason K. , Li, Minghui , MacKrell, J., Neumann, D., Nawabit, R, Odabashian, Jill, Olman, Mitchell A. , Park, M, Radeva, Milena , Renapurkar, R, Sharp, Jacqueline, Sherer, Stefan, WHW, Tang, Thomas, Jason , Wadih, K, Wells, Simon P. , Wilcox, Jane, Yu, S, Rounds, Sharon , Bull, Todd , Cadigan, John B., Rosen, Darin T , Rosenzweig, Erika B , Rischard, Franz P , Frantz, Robert P , Beck, Gerald J , Hill, Nicholas S , Barnard, John , Grunig, Gabriele , Jellis, Christine L , Kwon, Deborah H , Mehra, Reena , Park, Margaret M , Tang, W H Wilson , Hassoun, Paul M , Simpson, Catherine E , Hemnes, Anna , Horn, Evelyn M , Leopold, Jane A , Tedford, Ryan J , Mathai, Stephen C , Hsu, Steven , Rosenzweig, Erika B. , Rischard, Franz , Frantz, Robert P. , Barnard, John , Mehra, Reena , Tang, W.H. Wilson , Hassoun, Paul M. , Simpson, Catherine E. , Xiao, L, Fu, Y‐P, Gray, Michael P. , Wong, B, Waxman, Aaron B. , Systrom, David M , Brady, David J. , Chung, Wendy K. , Payne, D, Karas, Maria , Lohman, J, Ricketts, M, Balasubramanian, A, Carey, K, Gao, Lei , Halushka, Marc K. , Kass, David A. , Lin, Ting‐Tse , Mukherjee, Monica , Roth, J, Sanni, Y, Weiss, Robert E. , Zimmerman, Stefan L , Behfar, Atta , Borlaug, Barry A. , Brock, H Du, Head, D, Kane, Garvan C. , Sands, T. , Scott, Christopher G. , Terzic, André , Williamson, E, Garcia, Joe G. N. , Lim, C, Desai, Akshay S , Hansen, L, Newman, J, Brittain, Evan L , Cheng, Feixiong , Filippo, F Di, Flinn, A, Hu, Bo , Jaber, Wael A. , Kanta, A, Martín, Maite Velázquez , McCarthy, Kevin , Ramos, J, Wiggins, K, Willard, Belinda B. , Benza, Raymond L. , Fang, James C. , Gomberg‐Maitland, Mardi

Journal of the American Heart Association | May 22, 2025 | Volume: 14 | Issue: 11 | Pages: No page available

10.1161/jaha.124.041127 | PMID 40401597 Get It

Background Right ventricular (RV) maladaptation to elevated pulmonary afterload is the primary determinant of outcomes in pulmonary artery (PA) hypertension; however, the pathobiological mechanisms underlying RV decompensation remain poorly understood. Methods We performed global untargeted metabolomics on plasma from 55 patients who underwent gold‐standard RV‐PA coupling measurements using multibeat pressure volume loop assessment in a single‐center cohort and from 1027 patients with coupling surrogate measurements in a larger multicenter cohort, the PVDOMICS (Pulmonary Vascular Disease Phenomics) study. Age and sex‐adjusted linear regression was performed to identify associations between metabolites and coupling metrics. Additionally, we performed a metabolic flux analysis using gene expression data from RV tissue in an independent cohort of 32 patients. Partial least squares–discriminant analysis was used to identify metabolites and reactions characteristic of the decompensated RV. Results RV‐PA coupling was negatively associated with tricarboxylic acid (TCA) cycle intermediate levels. Specifically, plasma α‐ketoglutarate and fumarate were significantly associated with all coupling metrics in both cohorts. Metabolic flux analysis indicated that decompensated RVs exhibited aberrant TCA cycle activity, including reduced acetyl coenzyme A entry and increased lactate elimination, suggesting a shift from the TCA cycle toward glycolysis at the RV tissue level. Conclusions We identify an association between circulating TCA cycle intermediate levels and RV‐PA uncoupling in 2 independent cohorts, and dysregulated TCA cycle metabolism in decompensated PA hypertension RVs, suggesting that aberrant TCA cycle metabolism could represent a hallmark of RV maladaptation in PA hypertension. Further study of this pathway is warranted to develop novel biomarkers of RV function or RV‐targeted therapies.