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240 citation(s) found for "KC, Anil".

Increased reflux secondary bile acids are associated with changes to the microbiome and transcriptome in Barrett’s esophagus
Tanes, Ceylan , Ginsberg, Gregory G. , Wang, Kenneth K. , Iyer, Prasad G. , Lightdale, C, Portillo, Armando Del , Lagana, Stephen M. , Rustgi, Anil K. , Quante, Michael , Jin, Zhezhen , Wu, Gary D. , Bittinger, Kyle, Abrams, Julian A , Li, Yun , Falk, Gary W. , Wang, Timothy C. , Friedman, Elliot S. , Li, Hongzhe

Mayo Clinic

Gut Microbes | August 22, 2025 | Volume: 17 | Issue: 1 | Pages: No page available

10.1080/19490976.2025.2545420 | PMID 40844321 Get It

Pancreas Transplantation: Anatomy, Imaging, and Complications
Caserta, Melanie P. , Perez, Rachel L., Brown, Dillon M. , Adler, Cameron , Desai, Madhura , LeGout, Jordan D. , Clingan, M. Jennings , Clendenon, Jacob N. , Dahiya, Nirvikar , Alexander, Lauren F. , Clendenon, Jacob , Adler, Cameron R , Desai, Madhura A , Clingan, Mary Jennings , Kurup, Anil N , Dahiya, Nirvikar , Alexander, Lauren F , Perez, Rachel L., Brown, Dillon M., Kurup, A. Nicholas , Mao, Shennen A.

Mayo Clinic

RadioGraphics | August 21, 2025 | Volume: 45 | Issue: 9 | Pages: No page available

10.1148/rg.240180 | PMID 40839538 Get It

Pancreas transplant is the standard treatment for restoring endocrine function and limiting complications from diabetes, and radiologists should understand the surgical techniques, normal imaging spectrum, and various complications associated with this surgical procedure.
Novel liquid immunocytochemistry with machine learning analysis for bladder cancer detection
Patel, Ankush , Song, Yi , Chu, Wenjiang, Patel, Ankush U , Atiya, Samir , Parwani, Anil Vasdev

Mayo Clinic

Journal of Histotechnology | August 15, 2025 | Volume: 49 | Issue: 1 | Pages: 4-12

10.1080/01478885.2025.2546655 | PMID 40815554 Get It

Noncirrhotic Portal Hypertension: Current Concepts and Overview of Causes, Pathophysiology, and Imaging Findings
Borhani, Amir A. , Venkatesh, Sudhakar K. , Haghshomar, Maryam , Catania, Roberta , Boike, Justin , Thornburg, Bartley , Dasyam, Anil K. , Furlan, Alessandro , Miller, Frank H. , Pugliesi, Rosa Alba , Catania, Roberta , Boike, Justin R, Thornburg, Bartley , Dasyam, Anil K , Furlan, Alessandro , Miller, Frank H , Venkatesh, Sudhakar K

Mayo Clinic

RadioGraphics | August 7, 2025 | Volume: 45 | Issue: 9 | Pages: No page available

10.1148/rg.240210 | PMID 40773371 Get It

Distinguishing noncirrhotic portal hypertension from cirrhosis is important because of differences in outcomes and management strategies, and imaging features such as liver morphology and the pattern of portal hypertension can aid in differentiation and should be carefully assessed.
Correlation of Airway POCUS Measures with Screening and Severity Evaluation Tools in Obstructive Sleep Apnea: An Exploratory Study
Ravindranath, Sapna , Ranganath, Yatish , Lemke, Ethan, Behrens, Matthew B, Marian, Anil A. , Sadek, Nada, Seering, Melinda , Wendt, Linder , Eyck, Patrick Ten , Sondekoppam, Rakesh V. , Ranganath, Yatish S , Sadek, Nada , Seering, Melinda S , Wendt, Linder , Ten Eyck, Patrick , Sondekoppam, Rakesh V , Kalagara, Hari

Mayo Clinic

Journal of Clinical Medicine | July 11, 2025 | Volume: 14 | Issue: 14 | Pages: 4858

10.3390/jcm14144858 | PMID 40725550 Get It

Background: Obstructive Sleep Apnea (OSA) is a common occurrence in the perioperative patient population but is often undiagnosed. Point-of-Care Ultrasound (POCUS) has emerged as a promising tool for perioperative assessment; however, its effectiveness in detecting the presence or severity of OSA needs to be evaluated. Objective: We assessed the ability of airway POCUS as a screening and severity evaluation tool for OSA by examining its correlation with STOP-BANG scores and the Apnea–Hypopnea Index (AHI). Design: Cross-sectional observational study. Setting: A single-center study in a tertiary care hospital between June 2020 to May 2021. Patients: Adult patients aged 18–65 with prior Polysomnography (PSG) for OSA workup were screened. Interventions: The participants completed the STOP-BANG questionnaire and subsequently underwent POCUS examinations, either pre- or post-surgery. Ten different POCUS views previously used for evaluating OSA were acquired in a predefined sequence, with subsequent measurements of airway parameters. Outcome measures: Generalized linear modeling was used to explore and assess the relationships between the measured parameters, STOP-BANG, and AHI scores (modeled continuously and categorized into risk levels of STOP-BANG and AHI). Results: A total of 260 patients were screened, of which 142 were enrolled and 127 completed the scanning studies. The median AHI was 16.71, while the STOP-BANG scores were mostly between 5 and 6, indicating a moderate-to-high OSA risk in the study population. Notably, only neck circumference was significantly associated with AHI severity (p = 0.012), whereas none of the other POCUS measures were. Among the POCUS measures, significant associations with STOP-BANG scores were observed for the Tongue Cross-Sectional Area (T-CSA) (p = 0.002), Retro-Palatal Diameter (RPD) (p = 0.034), Distance Between Lingual Arteries (DLA) (p = 0.034), and Geniohyoid Muscle Thickness (GMT) (p = 0.040). Conclusions: Neck circumference is a more reliable predictor of OSA severity (AHI) compared to other POCUS measurements. Many of the POCUS measures had a good correlation with the STOP-BANG scores, highlighting the utility of POCUS as a screening tool for OSA rather than as a severity evaluation tool.
Petechial hemorrhage in mechanical thrombectomy for distal and medium-vessel occlusions: technical considerations and outcomes
Baker, Amanda , Adeeb, Nimer , Henninger, Nils , Sundararajan, Sri Hari , Khalife, Jane, Tan, Benjamin Yong‐Qiang , Regenhardt, Robert W. , Heit, Jeremy J. , Cancelliere, Nicole M., Fiehler, Jens, Puri, Ajit S., Dyzmann, Christian , Colasurdo, Marco, Filipe, João Pedro , Harker, Pablo, Abdalkader, Mohamad , Marotta, Thomas R. , Spears, Julian , Jabbour, Pascal , Biswas, Arundhati , Clarençon, Frédéric , Varela, Ricardo , Gonzalez, Nestor R. , Möhlenbruch, Markus , Costalat, Vincent , Gory, Benjamin , Yedavalli, Vivek , Stracke, Christian Paul , Shaikh, Hamza, Liebeskind, David S., Alexandre, Andrea , Faizy, Tobias D., Tancredi, Illario , Kalsoum, Erwah , Lubicz, Boris , Patel, Aman B. , Guenego, Adrien , Altschul, David , _, _, Amllay, Abdelaziz, Gopinathan, Anil, Dusart, Anne , Capirossi, Carolina , Mounayer, Charbel, Hsieh, Cheng-Yang, Stapleton, Christopher J. , Bellante, Flavio, Shaikh, Hamza , Cuellar-Saenz, Hugo H., Rabinov, James D. , Berge, Jérôme , Martinez-Gutierrez, Juan Carlos, Premat, Kévin , Chervak, Lina , Elhorany, Mahmoud, Quintero‐Consuegra, Miguel , Kan, Peter , Khandelwal, Priyank , Kadirvel, Ramanathan , Dofuku, Shogo , Nedelcu, Simona, Tjoumakaris, Stavropoula I, Barreau, Xavier, Liebeskind, David S. , Liebeskind, David S. , Heit, Jeremy J , Altschul, David J , Gonzalez, Nestor R , Regenhardt, Robert W , Yedavalli, Vivek S , Henninger, Nils , Tan, Benjamin Yq , Alexandre, Andrea M , Varela, Ricardo , Essibayi, Muhammed Amir , Salim, Hamza , Fazzari, Melissa J. , Khatri, Deepak , Baker, Amanda, Musmar, Basel , Kühn, Anna Luisa , Khalife, Jane , Ghozy, Sherief , Scarcia, Luca , Yeo, Leonard Ll , Cancelliere, Nicole M , Rouchaud, Aymeric , Sheth, Sunil A , Puri, Ajit S , Colasurdo, Marco , Renieri, Leonardo , Harker, Pablo , Aziz, Yasmin , Radu, Răzvan Alexandru , Klein, Piers , Ota, Takahiro , Mowla, Ashkan , Naamani, Kareem El , Jabbour, Pascal , Siegler, James E. , Nguyen, Thanh N. , Gory, Benjamin , Hecker, Constantin , Marnat, Gaultier , Griessenauer, Christoph J. , Pedicelli, Alessandro , Faizy, Tobias D. , Mendes Pereira, Vitor , Dmytriw, Adam A. , _, _, Amllay, Abdelaziz , Vagal, Achala , Schiphorst, Adrien ter , Thomas, Ajith J , Mounayer, Charbel , Weyland, Charlotte S. , Hsieh, Cheng‐Yang , Forestier, Géraud , Cuellar, Hugo , Valente, Iacopo , Sibon, Igor , Jesser, Jessica , Martinez-Gutierrez, Juan Carlos , Meyer, Lukas , Elhorany, Mahmoud , Aziz‐Sultan, Mohammad Ali , Killer-Oberpfalzer, Monika , Khandelwal, Priyank , Fahed, Robert , Salazar‐Marioni, Sergio , Nedelcu, Simona , Tjoumakaris, Stavropoula , Saleme, Suzana , Barreau, Xavier

Mayo Clinic

Journal of Neurosurgery | July 4, 2025 | Volume: 143 | Issue: 6 | Pages: 1501-1513

10.3171/2025.3.jns243030 | PMID 40614268 Get It

OBJECTIVE Mechanical thrombectomy (MT) is well established for large-vessel occlusion (LVO) strokes, but its safety in distal and medium-vessel occlusions (DMVOs) requires further investigation. This study analyzed the relationship between procedural approaches, petechial hemorrhage (PetH), and clinical outcomes in DMVO thrombectomy, with particular attention to technical considerations and the complex interplay between tissue injury and hemorrhagic complications. METHODS A retrospective cohort study was conducted on DMVO stroke patients treated with MT at 37 stroke centers worldwide from 2016 to 2024. Patients were categorized based on follow-up imaging into those with or without PetH. Four logistic regression models analyzed the association of PetH with favorable functional outcomes (modified Rankin Scale score ≤ 2) at 90 days, early neurological improvement (≥ 4-point National Institutes of Health Stroke Scale score decrease at 24 hours), all-cause mortality, and independent determinants of PetH. Adjusted odds ratios (aORs), 95% confidence intervals, and p values were reported. RESULTS Of 1428 patients, 439 (30.7%) developed PetH. Factors independently associated with PetH were multiple thrombectomy passes (aOR 1.58, 95% CI 1.21–2.06; p = 0.001), IV thrombolysis (aOR 1.31, 95% CI 1.01–1.69; p = 0.04), and the combined use of a stent retriever with aspiration as the first-line method compared with aspiration alone (aOR 1.66, 95% CI 1.15–2.38; p = 0.007). Conversely, general anesthesia (aOR 0.55, 95% CI 0.40–0.77; p < 0.001), higher Alberta Stroke Program Early CT Scores (aOR 0.76, 95% CI 0.69–0.83; p < 0.001), and successful recanalization (aOR 0.56, 95% CI 0.39–0.80; p = 0.002) were significantly associated with a lower odds of PetH. PetH was associated with a decreased odds of favorable functional outcomes (aOR 0.51, 95% CI 0.36–0.73; p < 0.001), reduced early neurological improvement (aOR 0.59, 95% CI 0.44–0.79; p < 0.001), and increased all-cause mortality (aOR 1.84, 95% CI 1.23–2.76; p < 0.001). CONCLUSIONS PetH is a frequent sequela following MT in DMVO strokes and is associated with poorer outcomes, likely reflecting underlying ischemic injury rather than direct causation. Procedural factors influence PetH risk, suggesting medical treatment as first-line therapy for DMVOs, with MT reserved for refractory cases using less aggressive approaches.
Comparative efficacy of PARP inhibitors in BRCA mutated HER2-negative breast cancer: A systematic review and network meta-analysis of randomized controlled trials.
Zaheer, Amna , Bakry, Niveen S. , Muneer, Muneeb Ahmad , Kashif, Muhammad Arham Bin , Javaid, Hammad , Ismail, Areeba, Bist, Anil , Rath, Shree , Afridi, Abdullah , Kaur, Anmol , Cheema, Shamikha , Panjwani, Shaliza, Bukhari, Syed Mohsin Raza, Shamim, Urooj, Patan, Shajadi, Dey, Debankur , Bakry, Nourhan Saeed, Rath, Shree , Bukhari, Syed Mohsin Raza , Marsool, Mohammed Dheyaa Marsool

Mayo Clinic

Journal of Clinical Oncology | May 28, 2025 | Volume: 43 | Issue: 16_suppl | Pages: No page available

10.1200/jco.2025.43.16_suppl.e13162 Get It

e13162 Background: BRCA1/2 mutations impair homologous recombination repair, forcing cancer cells to rely on alternative DNA repair pathways, such as those mediated by poly(ADP-ribose) polymerase (PARP). PARP inhibitors (PARPis), like iniparib, olaparib, talazoparib, niraparib, and veliparib, exploit this dependency, inducing lethality in cells of BRCA-mutated, HER2-negative breast cancers (BRCAm, HER2-BC). Only 2 PARPis, talazoparib and olaparib, are FDA-approved for BRCAm, HER2-BC. However, the treatment with the highest efficacy remains unclear. We conducted a network meta-analysis (NMA) of randomised controlled trials (RCTs) to compare the efficacy of PARPis in treating BRCAm, HER2-BC. Methods: We systematically searched PubMed, Cochrane CENTRAL, SCOPUS, and ClinicalTrials.gov (up to December 2024) for randomized controlled trials (RCTs) following PRISMA-NMA guidelines. Primary outcome was overall survival(OS), with hazard ratios (HRs) and 95% confidence intervals (CIs). Secondary outcome was progression-free survival (PFS). Survival times were converted to HRs under the assumption of exponential distribution. Standard of care (SOC) was defined as taxane/anthracycline-based regimens with additional platinum-based chemotherapy. Physician's choice chemotherapy (PCT) included capecitabine, eribulin, gemcitabine, or vinorelbine. A frequentist approach with random-effects modeling was used to pool estimates, and P-scores ranked treatment efficacy. Heterogeneity and inconsistency were assessed using τ², I², and Q-statistics. Analyses were conducted in R version 4.4.1. Results: 8 studies including 4432 participants incorporating 8 pairwise comparisons and 7 treatments were analyzed for OS. Compared to SOC (reference), HRs of OS were significantly reduced with talazoparib+SOC (HR = 0.49, 95% CI: 0.32–0.74; P = 0.64), olaparib+SOC (HR = 0.46, 95% CI: 0.36–0.59; P = 0.69), niraparib+SOC (HR = 0.44, 95% CI: 0.26–0.76; P = 0.76), and veliparib+SOC (HR = 0.38, 95% CI: 0.29–0.48; P = 0.91). No heterogeneity or inconsistency was detected (τ² = 0; I² = 0; Q = 1.27, p = 0.53). For PFS, iniparib/gemcitabine, talazoparib, olaparib, and niraparib showed significant reduction in HR with increasing order of P-scores, in combination with SOC. Conclusions: Veliparib combined with SOC showed the highest OS improvement, while niraparib ranked highest for PFS, followed by talazoparib and olaparib. Further trials are needed to confirm these findings and refine treatment strategies for BRCAm, HER2-BC.
Efficacy and safety of durvalumab plus tremelimumab versus standard chemotherapy for non-small cell lung cancer: A systematic review and meta-analysis of phase III randomized controlled trials.
Rohita, Dipesh , Cheema, Anees, Usama, Ali, Aziz, Nouman , Phyu, Zin Hnin, Chowdhury, Faisal , KC, Anil, Devkota, Anirudra , Mohamed, Shueb , Fromer, Nelli, Poudel, Prakash, Cheema, Anees, Shrestha, Abhigan Babu , Shah, Anish

Mayo Clinic

Journal of Clinical Oncology | May 28, 2025 | Volume: 43 | Issue: 16_suppl | Pages: No page available

10.1200/jco.2025.43.16_suppl.e20551 Get It

e20551 Background: Lung cancer is leading cause of cancer related mortality globally, with non-small cell lung cancer (NSCLC) comprising approximately 80% of all cases. The combination of immune checkpoint inhibitors targeting programmed cell death protein 1 (PD-1) or its ligand (PD-L1), specifically Durvalumab, and anti-cytotoxic T-lymphocyte antigen 4 (CTLA-4) inhibitors, such as Tremelimumab has demonstrated clinical efficacy in both adjuvant and neoadjuvant settings. However, a comprehensive systematic review of the available data is currently lacking. This study aims to assess the therapeutic efficacy of Durvalumab combined with Tremelimumab in NSCLC focusing on key end points including progression-free survival, overall survival, overall response rate, and safety, with particular attention to any adverse events and mortality. Methods: A comprehensive literature search was performed to identify relevant studies published until March 2024 across PubMed, Google Scholar, and Embase databases. Outcomes were pooled using the random effects DerSimonian-Laird model and reported as hazard ratio (HR) with a 95% confidence interval. A p-value of less than 0.05 was considered statistically significant. Results: A total of 1600 patients with NSCLC were included in the analysis, with 825 patients receiving Durvalumab plus Tremelimumab, and 775 patient receiving Standard chemotherapy across four studies. For Efficacy, following parameters were statistically significant: Progression Free Survival HR 0.75, 95%CI: 0.59, 0.92; Overall Survival HR 0.8, 95%CI: 0.58, 0.99; Overall Response Rate HR: 0.68, 95%CI: 0.47, 0.88, Mean Duration of Response was 12.23 month. Safety outcomes revealed that Durvalumab plus Tremelimumab versus Standard chemotherapy were comparable in mean percentage in terms of following parameters: Any Adverse Event (85.1% vs 92.8%), Any Serious Adverse Event (28.9% vs 17.75%), any mortality (6.35% vs 3.4%), Adverse Event leading to discontinuation (11.6% vs 10.13%), Any treatment related adverse event (69.96% vs 85.6%) and Any Treatment Related Death (0.9% vs 0.3%). Conclusions: Efficacy outcomes in patients treated with Durvalumab plus Tremelimumab demonstrated clinically meaningful improvements while the safety profile was comparable to that of Standard chemotherapy. Given the increasing use of this combination therapy as adjuvant and neoadjuvant treatment for NSCLC, further clinical trials are warranted to confirm and validate these findings.
Left atrial appendage closure (LAAC) in cancer patients: A systematic review and meta-analysis.
Devkota, Anirudra , KC, Anil, Mohamed, Shueb , Shrestha, Sajina , Rohita, Dipesh , Shrestha, Abhigan Babu , Jaiswal, Vikash

Mayo Clinic

Journal of Clinical Oncology | May 28, 2025 | Volume: 43 | Issue: 16_suppl | Pages: No page available

10.1200/jco.2025.43.16_suppl.e24010 Get It

e24010 Background: Cancer increases the risk of atrial fibrillation (AF), particularly in patients over 65 or those with pre-existing cardiovascular disease. Patients with active cancer are at a higher risk of arterial and venous thrombosis. Oral anticoagulation (OAC) is recommended in most patients with comorbidities, based on the CHA2DS2-VASc score. However, because OAC raises the risk of bleeding, it might not be appropriate for patients who have significant or frequent bleeding episodes, vascular malformations, or other contraindications. Anticoagulation in cancer patients is challenging due to thrombocytopenia, bleeding risks, and interactions with chemotherapy. Left atrial appendage Closure (LAAC) offers an alternative to anticoagulation for mitigating stroke risk in nonvalvular AF patients. However, this procedure has been offered less frequently as concerns regarding its prognosis among cancer patients remain unclear. This article aims to find the prognosis of cancer patients with LAAC. Methods: A systematic search was conducted in electronic databases from inception until June 2024 using appropriate Mesh terms. Pooled risk ratios (RR) with their corresponding 95% confidence intervals (CI) were calculated using random effects models. A p-value of <0.05 was considered statistically significant. Results: A total of 5 studies with a population of 1,20,502 (Cancer Patients: 3803 and Non- Cancer patients: 116699) were included which met all the inclusion criteria. An increased risk of in-hospital mortality among cancer patients with LAAC (RR=1.90; 95% CI=1.05–3.45, P=0.03) with statistically significant was observed. However, other parameters were comparable including, 30 days readmission (RR=1.12; 95% CI=0.95–1.032), all-cause mortality (RR=1.33; 95% CI=0.72–1.95), any bleeding complication (RR=1.04; 95% CI=0.37–1.70), Cardiovascular complication (RR=1.44; 95% CI=0.51–4.06), thromboembolism (RR= 2.28; 95% CI=0.57–9.06), and neurological complication (RR=0.81; 95% CI=0.17–1.46). Conclusions: There were increased chances of in-hospital mortality among cancer patients than in non-cancer patients with LAAC procedures. However, other parameters like cardiovascular complications, any bleeding complications, thromboembolism, and neurological complications were not significantly associated. Further studies are warranted to validate these findings.
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.