1999
DOI: 10.1111/j.1553-2712.1999.tb01177.x
|View full text |Cite
|
Sign up to set email alerts
|

The Continuing Search to Identify the Very‐low‐risk Chest Pain Patient

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
27
0
1

Year Published

2001
2001
2020
2020

Publication Types

Select...
7
1
1

Relationship

2
7

Authors

Journals

citations
Cited by 42 publications
(28 citation statements)
references
References 9 publications
0
27
0
1
Order By: Relevance
“…[4][5][12][13][14] Recent research has investigated the role of computerized algorithms, [16][17][18] neural networks, 19 specialized evaluation and observation units, [20][21][22][23][24][25] and cardiac imaging. [26][27][28][29][30][31][32] Although all of these techniques offer distinct advantages, none has been universally implemented. 26 In terms of ease of use, few have improved upon the algorithm proposed by Goldman et al, which uses history, physical, and electrocardiogram (ECG) characteristics to stratify patients into different levels of risk.…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…[4][5][12][13][14] Recent research has investigated the role of computerized algorithms, [16][17][18] neural networks, 19 specialized evaluation and observation units, [20][21][22][23][24][25] and cardiac imaging. [26][27][28][29][30][31][32] Although all of these techniques offer distinct advantages, none has been universally implemented. 26 In terms of ease of use, few have improved upon the algorithm proposed by Goldman et al, which uses history, physical, and electrocardiogram (ECG) characteristics to stratify patients into different levels of risk.…”
mentioning
confidence: 99%
“…[26][27][28][29][30][31][32] Although all of these techniques offer distinct advantages, none has been universally implemented. 26 In terms of ease of use, few have improved upon the algorithm proposed by Goldman et al, which uses history, physical, and electrocardiogram (ECG) characteristics to stratify patients into different levels of risk. [1][2][3] In their proposed algorithm, however, some low-risk groups still had a risk of AMI as high as 1-7%.…”
mentioning
confidence: 99%
“…[2][3][4][5][6][7][8][9][10][11][12][13] Although clinical algorithms can successfully risk stratify patients, they have not typically been considered useful in identifying a group of patients with a 30-day 1% risk for an adverse event who can safely be discharged from the ED. [2][3][4][5][6][7][8][9][10][11][12][13][14] Coronary computerized tomographic angiography (CTA) has been shown to have excellent diagnostic accuracy when compared to cardiac catheterization [15][16][17][18][19][20][21] and appears to perform as well as myocardial perfusion imaging in identifying patients at low risk for cardiovascular events. [22][23][24][25][26] Observational studies of coronary CTA have found that patients with normal coronary CTA results are at low risk for adverse events over 1-2 years; however, these studies either were small or involved patients who had other standard assessments to aid in clinical management.…”
mentioning
confidence: 99%
“…Thus, in the United States (US) 8-10 million patients are evaluated yearly in the ED with symptoms that might indicate the presence of an acute coronary syndrome (ACS) (Owens et al 2010). However, up to 85% of these patients are ultimately diagnosed with a variety of non-ACS diagnoses (Hollander 1999, Chase et al 2006, Pollack et al 2006. There have been advances in technology that have increased the sensitivity of troponin assays with measurements reported below the 99th percentile (99th %) in over 50% of an apparently normal healthy reference population (Apple and Collinson 2011).…”
Section: Contextmentioning
confidence: 99%