Dennis H Murphree Jr
Overview
Explore the profile of Dennis H Murphree Jr including associated specialties, affiliations and a list of published articles.
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Articles
13
Citations
237
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0
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Recent Articles
1.
Yamanaka-Takaichi M, Nadalian S, Loftus E, Ehman Jr E, Todd A, Grimaldo A, et al.
Int J Dermatol
. 2024 Sep;
64(3):520-530.
PMID: 39306801
Background: Perianal draining tunnels in hidradenitis suppurativa (HS) and perianal fistulizing inflammatory bowel disease (IBD) present diagnostic and management dilemmas. Methods: We conducted a retrospective chart review of patients with...
2.
Amadio J, Grogan M, Muchtar E, Lopez-Jimenez F, Attia Z, AbouEzzeddine O, et al.
ESC Heart Fail
. 2024 Aug;
12(1):677-682.
PMID: 39215684
Aims: We aim to determine if our previously validated, diagnostic artificial intelligence (AI) electrocardiogram (ECG) model is prognostic for survival among patients with cardiac amyloidosis (CA). Methods: A total of...
3.
Ahmad A, Shelly-Cohen M, Corban M, Murphree Jr D, Toya T, Sara J, et al.
Eur Heart J Digit Health
. 2023 Jan;
2(4):597-605.
PMID: 36713103
Aims: The current gold standard comprehensive assessment of coronary microvascular dysfunction (CMD) is through a limited-access invasive catheterization lab procedure. We aimed to develop a point-of-care tool to assist clinical...
4.
Chandra A, Takahashi P, McCoy R, Thorsteinsdottir B, Hanson G, Chaudhry R, et al.
J Am Med Dir Assoc
. 2022 Mar;
23(8):1403-1408.
PMID: 35227666
Objective: Hospitalized patients discharged to skilled nursing facilities (SNFs) for post-acute care are at high risk for adverse outcomes. Yet, absence of effective prognostic tools hinders optimal care planning and...
5.
Grogan M, Lopez-Jimenez F, Cohen-Shelly M, Dispenzieri A, Attia Z, Abou Ezzedine O, et al.
Mayo Clin Proc
. 2021 Jul;
96(11):2768-2778.
PMID: 34218880
Objective: To develop an artificial intelligence (AI)-based tool to detect cardiac amyloidosis (CA) from a standard 12-lead electrocardiogram (ECG). Methods: We collected 12-lead ECG data from 2541 patients with light...
6.
Vallabhajosyula S, Subramaniam A, Murphree Jr D, Patlolla S, YaQoub L, Kumar V, et al.
PLoS One
. 2020 Aug;
15(8):e0238046.
PMID: 32833995
Background: There are limited data on the complications with a percutaneous left ventricular assist device (pLVAD) vs. intra-aortic balloon pump (IABP) in acute myocardial infarction-cardiogenic shock (AMI-CS). Objective: To assess...
7.
Fitzgerald S, Wang S, Dai D, Murphree Jr D, Pandit A, Douglas A, et al.
PLoS One
. 2019 Dec;
14(12):e0225841.
PMID: 31805096
Our aim was to assess the utility of a novel machine learning software (Orbit Image Analysis) in the histological quantification of acute ischemic stroke (AIS) clots. We analyzed 50 AIS...
8.
Vallabhajosyula S, Prasad A, Dunlay S, Murphree Jr D, Ingram C, Mueller P, et al.
J Am Heart Assoc
. 2019 Jul;
8(15):e011954.
PMID: 31315497
Background This study sought to evaluate the 15-year national utilization, trends, predictors, disparities, and outcomes of palliative care services (PCS) use in cardiogenic shock complicating acute myocardial infarction. Methods and...
9.
Vallabhajosyula S, Dunlay S, Murphree Jr D, Barsness G, Sandhu G, Lerman A, et al.
JACC Heart Fail
. 2019 May;
7(6):469-476.
PMID: 31078481
Objectives: This study sought to evaluate the clinical characteristics and outcomes of Takotusbo cardiomyopathy cardiogenic shock (TC-CS) in comparison to those of acute myocardial infarction cardiogenic shock (AMI-CS) among patients...
10.
Chandra A, Rahman P, Sneve A, McCoy R, Thorsteinsdottir B, Chaudhry R, et al.
J Am Med Dir Assoc
. 2019 Mar;
20(4):444-450.e2.
PMID: 30852170
Objectives: Patients discharged to a skilled nursing facility (SNF) for post-acute care have a high risk of hospital readmission. We aimed to develop and validate a risk-prediction model to prospectively...