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344 citation(s) found for "Dai, Qi".

Shell Versus Core Architecture and Biology of Thrombi in Acute Ischemic Stroke: A Systematic Review
Mereuta, Oana Madalina , Agarwal, Tamanna , Ghozy, Sherief , Brinjikji, Waleed , Kallmes, David F. , Kadirvel, Ram , Arul, Santhosh , Madalina Mereuta, Oana , Ghozy, Sherief , Dai, Daying , Kadirvel, Ramanathan

Clinical and Applied Thrombosis/Hemostasis | November 14, 2023 | Volume: 29 | Issue: No issue available | Pages: No page available

10.1177/10760296231213632 | PMID 37960892 Get It

Background The presence of an outer shell has been recently described as a common feature of acute ischemic stroke (AIS) thrombi. We performed a systematic review of the current literature on shell genesis, structure, and clinical significance. Methods Following PRISMA guidelines, we searched Ovid Cochrane Central Register of Controlled Trials, Embase, Medline, Scopus, and Web of Science for studies reporting the composition and structure of AIS thrombi and clot analogs. Identified studies were added to Covidence software for primary screening. Two reviewers independently screened titles and abstracts followed by full-text screening. Results From 1290 identified studies, 10 were included in this review. Studies using histology/immunohistochemistry/immunofluorescence described fibrin, platelets, von Willebrand factor, and neutrophil extracellular traps as the main components of the shell. Scanning electron microscopy demonstrated a dense, compact fibrin/platelet-rich shell, and a core rich in polyhedrocytes. Microfluidics studies identified highly activated P-selectin-positive platelets and fibrin forming the core while secondary agonists adenosine diphosphate and thromboxane, along with loosely packed P-selectin-negative platelets constituted the shell. Conclusions The composition, compaction, and integrity of the shell may impact thrombolysis and revascularization outcomes. The preponderance of studies supported this conclusion.
Detection of left ventricular contractile dysfunction in patients with premature ventricular contractions using electrocardiogram trained using a deep learning model
Dai, Qiying , Greason, Grace , Woelber, T, Wight, Joseph, Friedman, Paul A. , Asirvatham, S J, Kowlgi, Gurukripa N. , Woelber, Tiffany J., Noseworthy, Peter A. , Attia, Zachi I.

European Heart Journal | November 11, 2023 | Volume: 44 | Issue: Supplement_2 | Pages: No page available

10.1093/eurheartj/ehad655.2938 Get It

Abstract Background Premature ventricular contractions (PVCs) are the most common arrhythmia affecting the ventricle. Frequent PVCs are associated with the development of PVC-cardiomyopathy (CM). It is known that the PVC burden has a direct correlation to the severity of left ventricular (LV) dysfunction. However, only 5% of patients with frequent PVCs (>10,000 per day) have associated PVC-CM. Thus, selecting patients for therapy options with drugs or catheter ablation is challenging, especially, when patients are asymptomatic with the PVCs. Purpose To train a deep learning model to predict the probability of low LV ejection fraction (LVEF) in patients with PVCs on a 12-lead electrocardiogram (ECG). Methods Using 69,440 paired 12-lead ECGs (containing at least one PVC), and echocardiogram data, including the left ventricular ejection fraction at Mayo Clinic, we trained a convolutional neural network to identify patients with ventricular dysfunction, defined as ejection fraction ≤35%, using the ECG data alone. ECGs were acquired at a sampling rate of 500 Hz using a Marquette ECG machine (GE Healthcare) and stored using the MUSE data management system for later retrieval. Comprehensive 2-D or 3-D and Doppler echocardiography were available for all patients. We trained a convolutional neural network using the Keras framework with TensorFlow (Google). The ECG-echocardiogram pairs were divided into a 60:20:20 training:validation:test split. Results The mean age of the patients used to train the model was 69.9 ± 13.0 years, and 65.2 percent of patients were male. The mean LVEF for this population was 52 ± 14.9 %, and the proportion of patients with low LVEF was 16.8 percent. The model yielded values for area under the curve, sensitivity, specificity, and accuracy of 0.897, 0.830, 0.813, and 0.816, respectively (Figure 1). A representative example of model prediction of normal LVEF and low LVEF is shown in Figure 2. Conclusion Using large-scale data, we have trained a highly accurate convolutional neural network with excellent predictive accuracy for LV systolic dysfunction using the surface ECG. Such a tool would be invaluable for cardiologists when risk-stratifying patients with frequent PVCs, especially those that are asymptomatic. Patients at risk will benefit from early referral to electrophysiologists for drug therapy and catheter ablation to mitigate the risk of PVC-CM.Figure 1Figure 2
Genomic and Evolutionary Characterization of Concurrent Intraductal Carcinoma and Adenocarcinoma of the Prostate
Zhao, Jinge , Xu, Nanwei , Nie, Ling , Zhang, Mengni , Zheng, Linmao , Cai, Diming , Sun, Xiaomeng , Chen, Junru , Dai, Jindong , Ni, Yuchao , Wang, Zhipeng , Zhang, Xingming , Liang, Jiayu, Chen, Yuntian , Pan, Xiuyi , Yin, Xiaoxue , Liu, Haoyang , Zhao, Fengnian , Zhang, Bei , Chen, Hao , Miao, Jiashun , Qin, Cong , Zhao, Xiaochen , Yao, Jin , Liu, Zhenhua , Liao, Banghua , Wei, Qiang , Shen, Pengfei , Chen, Ni , Zeng, Hao , Sun, Guangxi , Zhu, Sha , Nie, Ling , Zhang, Mengni , Zheng, Linmao , Cai, Diming , Sun, Xiaomeng , Chen, Junru , Dai, Jindong , Ni, Yuchao , Wang, Zhipeng , Zhang, Xingming , Liang, Jiayu , Chen, Yuntian , Hu, Xu , Pan, Xiuyi , Yin, Xiaoxue , Liu, Haoyang , Zhao, Fengnian , Zhang, Bei , Chen, Hao , Miao, Jiashun , Qin, Cong , Zhao, Xiaochen , Yao, Jin , Liu, Zhenhua , Liao, Banghua , Wei, Qiang , Li, Xiang , Liu, Zhenhua , Gao, Allen C , Huang, Rui , Shen, Pengfei , Chen, Ni , Zeng, Hao , Sun, Guangxi , Zhu, Sha , Liu, Jiyan , Huang, Haojie

Cancer Research | October 17, 2023 | Volume: 84 | Issue: 1 | Pages: 154-167

10.1158/0008-5472.can-23-1176 | PMID 37847513 Get It

Abstract Intraductal carcinoma of the prostate (IDC-P) is a lethal prostate cancer subtype that generally coexists with invasive high-grade prostate acinar adenocarcinoma (PAC) but exhibits distinct biological features compared with concomitant adenocarcinoma. In this study, we performed whole-exome, RNA, and DNA-methylation sequencing of IDC-P, concurrent invasive high-grade PAC lesions, and adjacent normal prostate tissues isolated from 22 radical prostatectomy specimens. Three evolutionary patterns of concurrent IDC-P and PAC were identified: early divergent, late divergent, and clonally distant. In contrast to those with a late divergent evolutionary pattern, tumors with clonally distant and early divergent evolutionary patterns showed higher genomic, epigenomic, transcriptional, and pathologic heterogeneity between IDC-P and PAC. Compared with coexisting PAC, IDC-P displayed increased expression of adverse prognosis–associated genes. Survival analysis based on an independent cohort of 505 patients with metastatic prostate cancer revealed that IDC-P carriers with lower risk International Society of Urological Pathology (ISUP) grade 1–4 adenocarcinoma displayed a castration-resistant free survival as poor as those with the highest risk ISUP grade 5 tumors that lacked concurrent IDC-P. Furthermore, IDC-P exhibited robust cell-cycle progression and androgen receptor activities, characterized by an enrichment of cellular proliferation–associated master regulators and genes involved in intratumoral androgen biosynthesis. Overall, this study provides a molecular groundwork for the aggressive behavior of IDC-P and could help identify potential strategies to improve treatment of IDC-P. Significance: The genomic, transcriptomic, and epigenomic characterization of concurrent intraductal carcinoma and adenocarcinoma of the prostate deepens the biological understanding of this lethal disease and provides a genetic basis for developing targeted therapies.
The Future Ain’t What It Used to Be…Out With the Old…In With the Better: Antibacterial Resistance Leadership Group Innovations
Patel, Robin , Hamasaki, Toshimitsu , Howard‐Anderson, Jessica , Kinamon, Tori, King, H. A. , Cross, H. R. , Chambers, Henry F. , Fowler, Vance G. , Boucher, Helen W., Group, for the Antibacterial Resistance Leadership, Schooley, Robert T. , Banerjee, Ritu , Souli, Maria , Sund, Zoë, Evans, Beth , Booth, Grant, Estes, Leslie, Greenwood‐Quaintance, Kerryl E. , Parmar, Krupa , Schwager, Nyssa, Wickward, Cathy, Geres, Holly, Dai, Weixiao , He, Yijie, Doernberg, Sarah B. , Satlin, Michael J. , Rouphael, Nadine , Baum, Keri, Raza, Praneeta , Komarow, Lauren , Hopkins, D. E., Zhang, Shanshan , Patel, Robin , Evans, Scott R , Evans, Scott , King, Heather A, Collyar, Deborah , Cross, Heather R, Fowler, Vance G. , Group, for the Antibacterial Resistance Leadership, Tamma, Pranita D. , Evans, Beth, Cunningham, Scott A. , Tillekeratne, L. Gayani , Dodd, Andrew, Hopkins, Deborah, Li, Yixuan , Tsalik, Ephraim L. , Holland, Thomas L

Clinical Infectious Diseases | October 16, 2023 | Volume: 77 | Issue: Supplement_4 | Pages: S321-S330

10.1093/cid/ciad538 | PMID 37843122 Get It

Abstract Clinical research networks conduct important studies that would not otherwise be performed by other entities. In the case of the Antibacterial Resistance Leadership Group (ARLG), such studies include diagnostic studies using master protocols, controlled phage intervention trials, and studies that evaluate treatment strategies or dynamic interventions, such as sequences of empiric and definitive therapies. However, the value of a clinical research network lies not only in the results from these important studies but in the creation of new approaches derived from collaborative thinking, carefully examining and defining the most important research questions for clinical practice, recognizing and addressing common but suboptimal approaches, and anticipating that the standard approaches of today may be insufficient for tomorrow. This results in the development and implementation of new methodologies and tools for the design, conduct, analyses, and reporting of research studies. These new methodologies directly impact the studies conducted within the network and have a broad and long-lasting impact on the field, enhancing the scientific value and efficiency of generations of research studies. This article describes innovations from the ARLG in diagnostic studies, observational studies, and clinical trials evaluating interventions for the prevention and treatment of antibiotic-resistant bacterial infections.
The Antibacterial Resistance Leadership Group: Scientific Advancements and Future Directions
Chambers, Henry F. , Cross, H. R. , Souli, Maria , Patel, Robin , Fowler, Vance G. , Group, for the Antibacterial Resistance Leadership, Deckard, Nancie , Schuler, Carl, Bunn, Ivra, Zaharoff, Smitha, Sharma, Shrabani, Wickward, Cathy, Waller, Jason, Wilson, Holly, Baum, Keri, Komarow, Lauren , Evans, Beth , Hopkins, D. E., Ge, Lizhao , Giri, Abhigya, Dai, Weixiao , Diao, Guoqing , Fidler, Tamara, Shao, Wanying, Schwager, Nyssa, Mau, Donald, Satlin, Michael J. , Schooley, Robert T. , Sund, Zoë, Booth, Grant, Estes, Leslie, Greenwood‐Quaintance, Kerryl E. , Parmar, Krupa , Doernberg, Sarah B. , Raza, Praneeta , Zeng, Lijuan , Banerjee, Ritu , Abbenante, Erin, Mocka, Elizabeth, King, H. A. , Kinamon, Tori, Boucher, Helen W., Geres, Holly, He, Yijie, Mehigan, Maureen, Ghazaryan, Varduhi , Raterman, Erica L., Samuel, Tamika, Lee, Marina S. , Fowler, Vance G. , Patel, Robin , Evans, Scott R , Cross, Heather R, Evans, Scott , Group, for the Antibacterial Resistance Leadership, Lodise, Thomas P. , Schuler, Carl, Holland, Thomas L , Turner, Nicholas , Wilson, Holly, van Duin, David , Wang, Minggui, Evans, Beth, Hopkins, Deborah, Bonomo, Robert A. , Li, Yixuan , Tamma, Pranita D. , Hamasaki, Toshimitsu , Cunningham, Scott A. , Dodd, Andrew, Tsalik, Ephraim L. , Tillekeratne, L. Gayani , King, Heather, Kinamon, Tori, Howard‐Anderson, Jessica , Nayak, Seema , Samuel, Tamika

Clinical Infectious Diseases | October 16, 2023 | Volume: 77 | Issue: Supplement_4 | Pages: S279-S287

10.1093/cid/ciad475 | PMID 37843121 Get It

AbstractIn this overview, we describe important contributions from the Antibacterial Resistance Leadership Group (ARLG) to patient care, clinical trials design, and mentorship while outlining future priorities. The ARLG research agenda is focused on 3 key areas: gram-positive infections, gram-negative infections, and diagnostics. The ARLG has developed an innovative approach to clinical trials design, the desirability of outcome ranking (DOOR), which uses an ordinal measure of global outcome to assess both benefits and harms. DOOR was initially applied to observational studies to determine optimal dosing of vancomycin for methicillin-resistant Staphylcococcus aureus bacteremia and the efficacy of ceftazidime-avibactam versus colistin for the treatment of carbapenem-resistant Enterobacterales infection. DOOR is being successfully applied to the analysis of interventional trials and, in collaboration with the US Food and Drug Administration (FDA), for use in registrational trials. In the area of diagnostics, the ARLG developed Master Protocol for Evaluating Multiple Infection Diagnostics (MASTERMIND), an innovative design that allows simultaneous testing of multiple diagnostic platforms in a single study. This approach will be used to compare molecular assays for the identification of fluoroquinolone-resistant Neisseria gonorrhoeae (MASTER GC) and to compare rapid diagnostic tests for bloodstream infections. The ARLG has initiated a first-in-kind randomized, double-blind, placebo-controlled trial in participants with cystic fibrosis who are chronically colonized with Pseudomonas aeruginosa to assess the pharmacokinetics and antimicrobial activity of bacteriophage therapy. Finally, an engaged and highly trained workforce is critical for continued and future success against antimicrobial drug resistance. Thus, the ARLG has developed a robust mentoring program targeted to each stage of research training to attract and retain investigators in the field of antimicrobial resistance research.
Priorities and Progress in Gram-negative Bacterial Infection Research by the Antibacterial Resistance Leadership Group
Satlin, Michael J. , Tyne, Daria Van , Rouphael, Nadine , Fowler, Vance G. , Hamasaki, Toshimitsu , Patel, Robin , Komarow, Lauren , Baum, Keri, Souli, Maria , Schwager, Nyssa, Doi, Yohei , Group, for the Antibacterial Resistance Leadership, Schooley, Robert T., Evans, Beth , Hopkins, D. E., Cathcart, F, Mocka, Elizabeth, Schuler, Carl, Sund, Zoë, Zaharoff, Smitha, Wickward, Cathy, Estes, Leslie, Mau, Donald, Booth, Grant, Abbenante, Erin, Bhojani, Minal, Zahir, Hirra, Ge, Lizhao , Giri, Abhigya, Dai, Weixiao , Diao, Guoqing , Fidler, Tamara, Shao, Wanying, Li, Yixuan , Zeng, Lijuan , Zhang, Shanshan , Greenwood‐Quaintance, Kerryl E. , Malan, Suzannah Schmidt, Parmar, Krupa , Ghazaryan, Varduhi , Raterman, Erica L., Samuel, Tamika, Lee, Marina S. , Doi, Yohei , Patel, Robin , Van Tyne, Daria , Evans, Scott R , van Duin, David , Tamma, Pranita D. , Lodise, Thomas P. , Rodvold, Keith A. , Evans, Scott , Fowler, Vance G. , Bonomo, Robert A. , Group, for the Antibacterial Resistance Leadership, Wang, Minggui, Wenzler, Eric , Evans, Beth, Hopkins, Deborah, Cathcart, Felecia, Schuler, Carl, Cunningham, Scott A. , Samuel, Tamika, Nayak, Seema

Clinical Infectious Diseases | October 16, 2023 | Volume: 77 | Issue: Supplement_4 | Pages: S305-S313

10.1093/cid/ciad547 | PMID 37843118 Get It

Abstract Addressing the treatment and prevention of antibacterial-resistant gram-negative bacterial infections is a priority area of the Antibacterial Resistance Leadership Group (ARLG). The ARLG has conducted a series of observational studies to define the clinical and molecular global epidemiology of carbapenem-resistant and ceftriaxone-resistant Enterobacterales, carbapenem-resistant Pseudomonas aeruginosa, and carbapenem-resistant Acinetobacter baumannii, with the goal of optimizing the design and execution of interventional studies. One ongoing ARLG study aims to better understand the impact of fluoroquinolone-resistant gram-negative gut bacteria in neutropenic patients, which threatens to undermine the effectiveness of fluoroquinolone prophylaxis in these vulnerable patients. The ARLG has conducted pharmacokinetic studies to inform the optimal dosing of antibiotics that are important in the treatment of drug-resistant gram-negative bacteria, including oral fosfomycin, intravenous minocycline, and a combination of intravenous ceftazidime-avibactam and aztreonam. In addition, randomized clinical trials have assessed the safety and efficacy of step-down oral fosfomycin for complicated urinary tract infections and single-dose intravenous phage therapy for adult patients with cystic fibrosis who are chronically colonized with P. aeruginosa in their respiratory tract. Thus, the focus of investigation in the ARLG has evolved from improving understanding of drug-resistant gram-negative bacterial infections to positively affecting clinical care for affected patients through a combination of interventional pharmacokinetic and clinical studies, a focus that will be maintained moving forward.
Priorities and Progress in Diagnostic Research by the Antibacterial Resistance Leadership Group
Hanson, Kimberly E. , Banerjee, Ritu , Doernberg, Sarah B. , Komarow, Lauren , Satlin, Michael J. , Schwager, Nyssa, Simner, Patricia J. , Patel, Robin , Group, for the Antibacterial Resistance Leadership, Abbenante, Erin, Baum, Keri, Souli, Maria , Mocka, Elizabeth, Hopkins, D. E., Giri, Abhigya, Zeng, Lijuan , Greenwood‐Quaintance, Kerryl E. , Booth, Grant, Waller, Jason, Raza, Praneeta , Sund, Zoë, Wickward, Cathy, Dai, Weixiao , Ghazaryan, Varduhi , Raterman, Erica L., Samuel, Tamika, Lee, Marina S. , Patel, Robin , Evans, Scott R , Hanson, Kimberly , Evans, Scott , Tillekeratne, L. Gayani , Group, for the Antibacterial Resistance Leadership, Tsalik, Ephraim L. , Hopkins, Deborah, Dodd, Andrew, Li, Yixuan , Hamasaki, Toshimitsu , Samuel, Tamika

Clinical Infectious Diseases | October 16, 2023 | Volume: 77 | Issue: Supplement_4 | Pages: S314-S320

10.1093/cid/ciad541 | PMID 37843119 Get It

Abstract The advancement of infectious disease diagnostics, along with studies devoted to infections caused by gram-negative and gram-positive bacteria, is a top scientific priority of the Antibacterial Resistance Leadership Group (ARLG). Diagnostic tests for infectious diseases are rapidly evolving and improving. However, the availability of rapid tests designed to determine antibacterial resistance or susceptibility directly in clinical specimens remains limited, especially for gram-negative organisms. Additionally, the clinical impact of many new tests, including an understanding of how best to use them to inform optimal antibiotic prescribing, remains to be defined. This review summarizes the recent work of the ARLG toward addressing these unmet needs in the diagnostics field and describes future directions for clinical research aimed at curbing the threat of antibiotic-resistant bacterial infections.
Evaluating Drug Effectiveness for Antihypertensives in Heart Failure Prognosis: Leveraging Composite Clinical Endpoints and Biomarkers from Electronic Health Records
Chowdhury, Shaika , Chen, Yongbin , Ma, Xiao , Dai, Qiying , Yu, Yue , Zong, Nansu , Ma, Xiao , Chowdhury, Shaika

Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics | October 4, 2023 | Volume: No volume available | Issue: No issue available | Pages: 1-6

10.1145/3584371.3612977 | PMID 41527552 Get It

Soluble TREM2 triggers microglial dysfunction in neuromyelitis optica spectrum disorders
Qin, Chuan, Dong, Ming‐Hao , Yang, Sheng , Zhang, Hang , You, Yun‐Fan , Zhou, Luo‐Qi , Chu, Yun‐Hui, Tang, Yue , Pang, Xiao‐Wei, Wu, Long‐Jun , Wang, Wei , Wu, Long-Jun , Wang, Wei , Qin, Chuan, Chen, Man, Tian, Dai‐Shi

Brain | September 22, 2023 | Volume: 147 | Issue: 1 | Pages: 163-176

10.1093/brain/awad321 | PMID 37740498 Get It

Abstract Microglia-mediated neuroinflammation contributes to acute demyelination in neuromyelitis optica spectrum disorders (NMOSD). Soluble triggering receptor expressed on myeloid cells 2 (sTREM2) in the CSF has been associated with microglial activation in several neurodegenerative diseases. However, the basis for this immune-mediated attack and the pathophysiological role of sTREM2 in NMOSD remain to be elucidated. Here, we performed Mendelian randomization analysis and identified a genetic association between increased CSF sTREM2 and NMOSD risk. CSF sTREM2 was elevated in patients with NMOSD and was positively correlated with neural injury and other neuroinflammation markers. Single-cell RNA sequencing of human macrophage/microglia-like cells in CSF, a proxy for microglia, showed that increased CSF sTREM2 was positively associated with microglial dysfunction in patients with NMOSD. Furthermore, we demonstrated that sTREM2 is a reliable biomarker of microglial activation in a mouse model of NMOSD. Using unbiased transcriptomic and lipidomic screens, we identified that excessive activation, overwhelmed phagocytosis of myelin debris, suppressed lipid metabolism and enhanced glycolysis underlie sTREM2-mediated microglial dysfunction, possibly through the nuclear factor kappa B (NF-κB) signalling pathway. These molecular and cellular findings provide a mechanistic explanation for the genetic association between CSF sTREM2 and NMOSD risk and indicate that sTREM2 could be a potential biomarker of NMOSD progression and a therapeutic target for microglia-mediated neuroinflammation.
Hearing Loss Prevalence, Years Lived With Disability, and Hearing Aid Use in the United States From 1990 to 2019: Findings From the Global Burden of Disease Study
Collaborators, GBD 2019 USA Hearing Loss, Haile, Lydia M., Orji, Aislyn U, Reavis, Kelly M. , Briant, Paul Svitil, Lucas, Katia M., Alahdab, Fares , Bärnighausen, Till , Bell, Arielle Wilder, Cao, Chao , Hay, Simon I , Heidari, Golnaz , Miller, Ted R. , Natto, Zuhair S. , Pawar, Shrikant , Rana, Juwel , Seylani, Allen, Wei, Jingkai , Yang, Lin , Ong, Kanyin Liane , Steinmetz, Jaimie D , Eagan, Arielle Wilder , Reavis, Kelly M , Collaborators, GBD 2019 USA Hearing Loss, Haile, Lydia M., Dai, Xiaochen , Karaye, Ibraheem M. , Mokdad, Ali H. , Mostafavi, Ebrahim, Singh, Jasvinder A. , Alahdab, Fares

Ear & Hearing | September 15, 2023 | Volume: 45 | Issue: 1 | Pages: 257-267

10.1097/aud.0000000000001420 | PMID 37712826 Get It

Objectives: This article describes key data sources and methods used to estimate hearing loss in the United States, in the Global Burden of Disease study. Then, trends in hearing loss are described for 2019, including temporal trends from 1990 to 2019, changing prevalence over age, severity patterns, and utilization of hearing aids. Design: We utilized population-representative surveys from the United States to estimate hearing loss prevalence for the Global Burden of Disease study. A key input data source in modeled estimates are the National Health and Nutrition Examination Surveys (NHANES), years 1988 to 2010. We ran hierarchical severity-specific models to estimate hearing loss prevalence. We then scaled severity-specific models to sum to total hearing impairment prevalence, adjusted estimates for hearing aid coverage, and split estimates by etiology and tinnitus status. We computed years lived with disability (YLDs), which quantifies the amount of health loss associated with a condition depending on severity and creates a common metric to compare the burden of disparate diseases. This was done by multiplying the prevalence of severity-specific hearing loss by corresponding disability weights, with additional weighting for tinnitus comorbidity. Results: An estimated 72.88 million (95% uncertainty interval (UI) 68.53 to 77.30) people in the United States had hearing loss in 2019, accounting for 22.2% (20.9 to 23.6) of the total population. Hearing loss was responsible for 2.24 million (1.56 to 3.11) YLDs (3.6% (2.8 to 4.7) of total US YLDs). Age-standardized prevalence was higher in males (17.7% [16.7 to 18.8]) compared with females (11.9%, [11.2 to 12.5]). While most cases of hearing loss were mild (64.3%, 95% UI 61.0 to 67.6), disability was concentrated in cases that were moderate or more severe. The all-age prevalence of hearing loss in the United States was 28.1% (25.7 to 30.8) higher in 2019 than in 1990, despite stable age-standardized prevalence. An estimated 9.7% (8.6 to 11.0) of individuals with mild to profound hearing loss utilized a hearing aid, while 32.5% (31.9 to 33.2) of individuals with hearing loss experienced tinnitus. Occupational noise exposure was responsible for 11.2% (10.2 to 12.4) of hearing loss YLDs. Conclusions: Results indicate large burden of hearing loss in the United States, with an estimated 1 in 5 people experiencing this condition. While many cases of hearing loss in the United States were mild, growing prevalence, low usage of hearing aids, and aging populations indicate the rising impact of this condition in future years and the increasing importance of domestic access to hearing healthcare services. Large-scale audiometric surveys such as NHANES are needed to regularly assess hearing loss burden and access to healthcare, improving our understanding of who is impacted by hearing loss and what groups are most amenable to intervention.