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252 results on '"Kim, Dae H."'

4. Osteosarcopenia and Mortality in Older Adults Undergoing Transcatheter Aortic Valve Replacement

Author

Solla-Suarez, Pablo, primary, Arif, Saleena Gul, additional, Ahmad, Fayeza, additional, Rastogi, Neelabh, additional, Meng, Andrew, additional, Cohen, Joshua M., additional, Rodighiero, Julia, additional, Piazza, Nicolo, additional, Martucci, Giuseppe, additional, Lauck, Sandra, additional, Webb, John G., additional, Kim, Dae H., additional, Kovacina, Bojan, additional, and Afilalo, Jonathan, additional

Published
2024
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11. Rationale and design of the Novel Uses of adaptive Designs to Guide provider Engagement in Electronic Health Records (NUDGE-EHR) pragmatic adaptive randomized trial: a trial protocol

Author

Lauffenburger, Julie C., Isaac, Thomas, Trippa, Lorenzo, Keller, Punam, Robertson, Ted, Glynn, Robert J., Sequist, Thomas D., Kim, Dae H., Fontanet, Constance P., Castonguay, Edward W. B., Haff, Nancy, Barlev, Renee A., Mahesri, Mufaddal, Gopalakrishnan, Chandrashekar, and Choudhry, Niteesh K.

Published
2021
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15. Fall risk and cardiovascular outcomes of first‐line antihypertensive medications in nursing home residents.

Author

Berry, Sarah D., Hayes, Kaleen, Lee, Yoojin, Zhang, Yuan, Kim, Dae H., Ko, Darae, Kiel, Douglas P., Daielo, Lori, Zhang, Tingting, and Zullo, Andrew R.

Subjects
RISK assessment, RENIN-angiotensin system, DATABASE management, HIP fractures, RESEARCH funding, MAJOR adverse cardiovascular events, ACE inhibitors, MEDICARE, LIFE expectancy, ANTIHYPERTENSIVE agents, RETROSPECTIVE studies, DIURETICS, DESCRIPTIVE statistics, NURSING care facilities, LONGITUDINAL method, AMLODIPINE, CONFIDENCE intervals, ACCIDENTAL falls, REGRESSION analysis, PATIENT aftercare
Abstract

Background: Little evidence exists about the comparative effects of first‐line antihypertensive medications (i.e., renin‐angiotensin‐aldosterone converting enzyme inhibitors (RAASi), amlodipine, or thiazide diuretics) in older adults with limited life expectancy. We compared the rates of injurious falls and short‐term cardiovascular events between different first‐line antihypertensive medication classes in adults receiving care in nursing homes (NH). Methods: This was a retrospective cohort of Medicare fee‐for‐service beneficiaries receiving care in NHs. Patients newly dispensed first‐line antihypertensive medications were identified using Part D claims (2015–2018) and linked with clinical assessments (i.e., Minimum Data Set). Fall‐related injuries (FRI), hip fractures, and major adverse cardiac events (MACE) outcomes were identified using hospitalization claims. Patients were followed from the date of antihypertensive dispensing until the occurrence of outcomes, death, disenrollment, or 6‐month follow‐up. Inverse‐probability‐of‐treatment‐weighted (IPTW) cause‐specific hazards regression models were used to compare outcomes between patients who were new users of RAASi, amlodipine, or thiazides. Results: Our cohort included 16,504 antihypertensive users (RAASi, n = 9574; amlodipine, n = 5049; thiazide, n = 1881). Mean age was 83.5 years (± 8.2), 70.6% were female, and 17.2% were non‐white race. During a mean follow‐up of 5.3 months, 326 patients (2.0%) experienced an injurious fall, 1590 (9.6%) experienced MACE, and 2123 patients (12.9%) died. The intention‐to‐treat IPTW hazard ratio (HR) for injurious falls for amlodipine (vs RAASi) use was 0.85 (95% confidence interval (CI) 0.66–1.08) and for thiazides (vs RAASi) was 1.22 (95% CI 0.88–1.66). The rates of MACE were similar between those taking anti‐hypertensive medications. Thiazides were discontinued more often than other classes; however, inferences were largely unchanged in as‐treated analyses. Subgroup analyses were generally consistent. Conclusions: Older adults with limited life expectancy experience similar rates of injurious falls and short‐term cardiovascular events after initiating any of the first‐line antihypertensive medications. [ABSTRACT FROM AUTHOR]

Published
2024
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16. Comparison of Claims-Based Frailty Indices in U.S. Veterans 65 and Older for Prediction of Long-Term Institutionalization and Mortality

Author

Orkaby, Ariela R, primary, Huan, Tianwen, additional, Intrator, Orna, additional, Cai, Shubing, additional, Schwartz, Andrea W, additional, Wieland, Darryl, additional, Hall, Daniel E, additional, Figueroa, Jose F, additional, Strom, Jordan B, additional, Kim, Dae H, additional, Driver, Jane A, additional, and Kinosian, Bruce, additional

Published
2023
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17. Relative risks of adverse events among older adults receiving opioids versus NSAIDs after hospital discharge: A nationwide cohort study

Author

Herzig, Shoshana J., Anderson, Timothy S., Jung, Yoojin, Ngo, Long, Kim, Dae H., and McCarthy, Ellen P.

Subjects
Nonsteroidal anti-inflammatory drugs -- Statistics -- Complications and side effects, Aged patients -- Drug therapy, Hospitals -- Admission and discharge, Opioids -- Statistics -- Complications and side effects, Drugs -- Adverse and side effects, Hospital patients -- Statistics -- Drug therapy, Biological sciences
Abstract

Background Although analgesics are initiated on hospital discharge in millions of adults each year, studies quantifying the risks of opioids and nonsteroidal anti-inflammatory drugs (NSAIDs) among older adults during this transition are limited. We sought to determine the incidence and risk of post-discharge adverse events among older adults with an opioid claim in the week after hospital discharge, compared to those with NSAID claims only. Methods and findings We performed a retrospective cohort study using a national sample of Medicare beneficiaries age 65 and older, hospitalized in the United States hospitals in 2016. We excluded beneficiaries admitted from or discharged to a facility. We derived a propensity score that included over 100 factors potentially related to the choice of analgesic, including demographics, diagnoses, surgeries, and medication coadministrations. Using 3:1 propensity matching, beneficiaries with an opioid claim in the week after hospital discharge (with or without NSAID claims) were matched to beneficiaries with an NSAID claim only. Primary outcomes included death, healthcare utilization (emergency department [ED] visits and rehospitalization), and a composite of known adverse effects of opioids or NSAIDs (fall/fracture, delirium, nausea/vomiting, complications of slowed colonic motility, acute renal failure, and gastritis/duodenitis) within 30 days of discharge. After 3:1 propensity matching, there were 13,385 beneficiaries in the opioid cohort and 4,677 in the NSAID cohort (mean age: 74 years, 57% female). Beneficiaries receiving opioids had a higher incidence of death (1.8% versus 1.1%; RR 1.7 [1.3 to 2.3], p < 0.001, number needed to harm [NNH] 125), healthcare utilization (19.0% versus 17.4%; RR 1.1 [1.02 to 1.2], p = 0.02, NNH 59), and any potential adverse effect (25.2% versus 21.3%; RR 1.2 [1.1 to 1.3], p < 0.001, NNH 26), compared to those with an NSAID claim only. Specifically, they had higher relative risk of fall/fracture (4.5% versus 3.4%; RR 1.3 [1.1 to 1.6], p = 0.002), nausea/vomiting (9.2% versus 7.3%; RR 1.3 [1.1 to 1.4], p < 0.001), and slowed colonic motility (8.0% versus 6.2%; RR 1.3 [1.1 to 1.4], p < 0.001). Risks of delirium, acute renal failure, and gastritis/duodenitis did not differ between groups. The main limitation of our study is the observational nature of the data and possibility of residual confounding. Conclusions Older adults filling an opioid prescription in the week after hospital discharge were at higher risk for mortality and other post-discharge adverse outcomes compared to those filling an NSAID prescription only., Author(s): Shoshana J. Herzig 1,2,*, Timothy S. Anderson 1,2, Yoojin Jung 1, Long Ngo 1,2, Dae H. Kim 2,3,4, Ellen P. McCarthy 1,2,4 Introduction Pain is highly prevalent in the [...]

Published
2021
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19. Preoperative frailty and adverse outcomes following coronary artery bypass grafting surgery in US veterans

Author

Kochar, Ajar, primary, Deo, Salil V., additional, Charest, Brian, additional, Peterman‐Rocha, Fanny, additional, Elgudin, Yakov, additional, Chu, Danny, additional, Yeh, Robert W., additional, Rao, Sunil V., additional, Kim, Dae H., additional, Driver, Jane A., additional, Hall, Daniel E., additional, and Orkaby, Ariela R., additional

Published
2023
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21. Malnutrition and Mortality in Frail and Non-Frail Older Adults Undergoing Aortic Valve Replacement

Author

Goldfarb, Michael, Lauck, Sandra, Webb, John G., Asgar, Anita W., Perrault, Louis P., Piazza, Nicolo, Martucci, Giuseppe, Lachapelle, Kevin, Noiseux, Nicolas, Kim, Dae H., Popma, Jeffrey J., Lefèvre, Thierry, Labinaz, Marino, Lamy, Andre, Peterson, Mark D., Arora, Rakesh C., Morais, José A., Morin, Jean-Francois, Rudski, Lawrence, and Afilalo, Jonathan

Published
2018
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24. Automated Quantification of Cardiovascular Calcifications Using Deep Learning:&nbsp;Prognostic Value in Older Adults Undergoing TAVR

Author

Zhang, Ding Yi, primary, Rodighiero, Julia, additional, Arif, Saleena Gul, additional, Roberge, Maude, additional, O’Connor, Stephen, additional, Mylotte, Darren, additional, Piazza, Nicolo, additional, Martucci, Giuseppe, additional, Spaziano, Marco, additional, Lauck, Sandra, additional, Webb, John G., additional, Labinaz, Marino, additional, Noiseux, Nicholas, additional, Kim, Dae H., additional, Ahmad, Fayeza, additional, Benizri, Nissim, additional, Zarour, Yaman, additional, Shalmiev, Albert, additional, Benzur, Jordan, additional, Chalati, Diaa, additional, Gandhi, Rushali, additional, El Malt, Farida, additional, Butt, Zarran, additional, Kovacina, Bojan, additional, and Afilalo, Jonathan, additional

Published
2023
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26. The Genomic Sequence of the Accidental Pathogen Legionella pneumophila

Author

Chien, Minchen, Morozova, Irina, Shi, Shundi, Sheng, Huitao, Chen, Jing, Gomez, Shawn M., Asamani, Gifty, Hill, Kendra, Nuara, John, Feder, Marc, Rineer, Justin, Greenberg, Joseph J., Steshenko, Valeria, Park, Samantha H., Zhao, Baohui, Teplitskaya, Elita, Edwards, John R., Pampou, Sergey, Georghiou, Anthi, Iannuccilli, William, Ulz, Michael E., Kim, Dae H., Geringer-Sameth, Alex, Goldsberry, Curtis, Morozov, Pavel, Fischer, Stuart G., Segal, Gil, Qu, Xiaoyan, Rzhetsky, Andrey, Zhang, Peisen, Cayanis, Eftihia, De Jong, Pieter J., Ju, Jingyue, Kalachikov, Sergey, Shuman, Howard A., and Russo, James J.

Published
2004

32. Identification of Frailty Using a Claims‐Based Frailty Index in the CoreValve Studies: Findings from the EXTEND‐FRAILTY Study

Author

Strom, Jordan B., primary, Xu, Jiaman, additional, Orkaby, Ariela R., additional, Shen, Changyu, additional, Charest, Brian R., additional, Kim, Dae H., additional, Cohen, David J., additional, Kramer, Daniel B., additional, Spertus, John A., additional, Gerszten, Robert E., additional, and Yeh, Robert W., additional

Published
2021
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35. Corrigendum to: Updating and Validating the U.S. Veterans Affairs Frailty Index: Transitioning From ICD-9 to ICD-10

Author

Cheng, David, primary, DuMontier, Clark, additional, Yildirim, Cenk, additional, Charest, Brian, additional, Hawley, Chelsea E, additional, Zhuo, Min, additional, Paik, Julie M, additional, Yaksic, Enzo, additional, Gaziano, J Michael, additional, Do, Nhan, additional, Brophy, Mary, additional, Cho, Kelly, additional, Kim, Dae H, additional, Driver, Jane A, additional, Fillmore, Nathanael R, additional, and Orkaby, Ariela R, additional

Published
2021
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36. Trajectories of Frailty in the 5 Years Prior to Death Among U.S. Veterans Born 1927–1934

Author

Ward, Rachel E, primary, Orkaby, Ariela R, additional, Dumontier, Clark, additional, Charest, Brian, additional, Hawley, Chelsea E, additional, Yaksic, Enzo, additional, Quach, Lien, additional, Kim, Dae H, additional, Gagnon, David R, additional, Gaziano, J Michael, additional, Cho, Kelly, additional, Djousse, Luc, additional, and Driver, Jane A, additional

Published
2021
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37. Contemporary Analysis of Electronic Frailty Measurement in Older Adults with Multiple Myeloma Treated in the National US Veterans Affairs Healthcare System

Author

DuMontier, Clark, primary, Fillmore, Nathanael R., additional, Yildirim, Cenk, additional, Cheng, David, additional, La, Jennifer, additional, Orkaby, Ariela R., additional, Charest, Brian, additional, Cirstea, Diana, additional, Yellapragada, Sarvari, additional, Gaziano, John Michael, additional, Do, Nhan, additional, Brophy, Mary T., additional, Kim, Dae H., additional, Munshi, Nikhil C., additional, and Driver, Jane A., additional

Published
2021
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38. Additional file 1 of Rationale and design of the Novel Uses of adaptive Designs to Guide provider Engagement in Electronic Health Records (NUDGE-EHR) pragmatic adaptive randomized trial: a trial protocol

Author

Lauffenburger, Julie C., Isaac, Thomas, Trippa, Lorenzo, Punam Keller, Robertson, Ted, Glynn, Robert J., Sequist, Thomas D., Kim, Dae H., Fontanet, Constance P., Castonguay, Edward W. B., Haff, Nancy, Barlev, Renee A., Mufaddal Mahesri, Chandrashekar Gopalakrishnan, and Niteesh K. Choudhry

Abstract

Additional file 1: Supplement 1 Clinical trial protocol

Published
2021
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39. Additional file 2 of Rationale and design of the Novel Uses of adaptive Designs to Guide provider Engagement in Electronic Health Records (NUDGE-EHR) pragmatic adaptive randomized trial: a trial protocol

Author

Lauffenburger, Julie C., Isaac, Thomas, Trippa, Lorenzo, Punam Keller, Robertson, Ted, Glynn, Robert J., Sequist, Thomas D., Kim, Dae H., Fontanet, Constance P., Castonguay, Edward W. B., Haff, Nancy, Barlev, Renee A., Mufaddal Mahesri, Chandrashekar Gopalakrishnan, and Niteesh K. Choudhry

Abstract

Additional file 2: Supplement 2, eFigure 1 Provider tapering information and talking points embedded in enhanced alerts. Supplement 2, eFigure 2 SmartSet order set embedded within enhanced alerts. Supplement 2, eFigure 3 Enhanced encounter opening alert used in Arms 2, 6, and 10. Supplement 2, eFigure 4 Arm 3: Enhanced order entry alert + follow-up message. Supplement 2, eFigure 5 Arm 7: Simplified enhanced order entry alert. Supplement 2, eFigure 6 Arms 9 and 10: Sign-off approval alert that triggers to providers when electronically signing off on refill medications ordered by support staff. Supplement 2, eFigure 7 Arm 11: Pre-commitment/consistency alert + enhanced order entry alert. Supplement 2, eFigure 8 Arm 13: Enhanced order entry alert with different risk framing. Supplement 2, eFigure 9 Arm 15: Non-enhanced order entry alert. Supplement 2, eTable 1 Behavioral principles in electronic health record tools tested in regression model.

Published
2021
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40. Updating and Validating the U.S. Veterans Affairs Frailty Index: Transitioning From ICD-9 to ICD-10

Author

Cheng, David, primary, DuMontier, Clark, additional, Yildirim, Cenk, additional, Charest, Brian, additional, Hawley, Chelsea E, additional, Zhuo, Min, additional, Paik, Julie M, additional, Yaksic, Enzo, additional, Gaziano, J Michael, additional, Do, Nhan, additional, Brophy, Mary, additional, Cho, Kelly, additional, Kim, Dae H, additional, Driver, Jane A, additional, Fillmore, Nathanael R, additional, and Orkaby, Ariela R, additional

Published
2021
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41. Comparative Effectiveness and Safety of Sodium–Glucose Cotransporter 2 Inhibitors Versus Glucagon-Like Peptide 1 Receptor Agonists in Older Adults

Author

Patorno, Elisabetta, primary, Pawar, Ajinkya, additional, Bessette, Lily G., additional, Kim, Dae H., additional, Dave, Chintan, additional, Glynn, Robert J., additional, Munshi, Medha N., additional, Schneeweiss, Sebastian, additional, Wexler, Deborah J., additional, and Kim, Seoyoung C., additional

Published
2021
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42. Defining Multimorbidity and Its Impact in Older United States Veterans Newly Treated for Multiple Myeloma

Author

Fillmore, Nathanael R, primary, DuMontier, Clark, additional, Yildirim, Cenk, additional, La, Jennifer, additional, Epstein, Mara M, additional, Cheng, David, additional, Cirstea, Diana, additional, Yellapragada, Sarvari, additional, Abel, Gregory A, additional, Gaziano, J Michael, additional, Do, Nhan, additional, Brophy, Mary, additional, Kim, Dae H, additional, Munshi, Nikhil C, additional, and Driver, Jane A, additional

Published
2021
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