Pretest models for predicting abnormal stress single-photon emission computed tomography myocardial perfusion imaging (239 views)
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2019 Nov 11; N/D: N/D-N/D.
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Paper type: Journal Article,
Impact factor: 4.112, 5-year impact factor: 3.37
Url: Not available.
Keywords: Cad, Mpi, Spect, Diagnostic And Prognostic Application,
Affiliations:
*** IBB - CNR ***
Institute of Biostructure and Bioimaging, National Council of Research, Naples, Italy., Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy., Department of Translational Medical Sciences, University Federico II, Naples, Italy., Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy. cuocolo@unina.it.,
References:
Not available.
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2019 Nov 11; N/D: N/D-N/D.
Export to BibTeX Export to EndNote
Paper type: Journal Article,
Impact factor: 4.112, 5-year impact factor: 3.37
Url: Not available.
Keywords: Cad, Mpi, Spect, Diagnostic And Prognostic Application,
Affiliations:
*** IBB - CNR ***
Institute of Biostructure and Bioimaging, National Council of Research, Naples, Italy., Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy., Department of Translational Medical Sciences, University Federico II, Naples, Italy., Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy. cuocolo@unina.it.,
References:
Not available.
Pretest models for predicting abnormal stress single-photon emission computed tomography myocardial perfusion imaging
BACKGROUND: The frequency of abnormal stress SPECT myocardial perfusion imaging (MPS) decreased over the past decades despite an increase in the prevalence of cardiovascular risk factors. These findings strengthen the need to develop more effective strategies for appropriately referring patients with suspected coronary artery disease (CAD) to cardiac imaging. The aim of this study was to develop pretest assessment models for predicting abnormal stress MPS. METHODS: We included 5,601 consecutive patients with suspected CAD, who underwent stress MPS at our academic center. Two different models were considered: a basic model including age, gender, and anginal symptoms; and a clinical model including also diabetes, hypertension, hypercholesterolemia, smoking, and family history of CAD. RESULTS: In patients with abnormal MPS, the basic model classified more than 75% of patients as intermediate risk, whereas only 23% were incorrectly classified as low risk. In patients with normal MPS, 45% were correctly classified as low risk and none as high risk. Basic and clinical models had a limited discriminating capacity (area under the receiver operating characteristic curve 0.644 for basic model and 0.647 for clinical model) between individuals with and without abnormal stress MPS. The decision curve analysis demonstrates a high net benefit across a range of threshold probabilities from ~ 15% to ~30% for both models. CONCLUSIONS: A pretest risk stratification based on traditional cardiovascular risk factors has a limited value for predicting an abnormal stress MPS in patients with suspected CAD. However, selecting a proper threshold probability enhances the appropriateness of referral to stress MPS.
BACKGROUND: The frequency of abnormal stress SPECT myocardial perfusion imaging (MPS) decreased over the past decades despite an increase in the prevalence of cardiovascular risk factors. These findings strengthen the need to develop more effective strategies for appropriately referring patients with suspected coronary artery disease (CAD) to cardiac imaging. The aim of this study was to develop pretest assessment models for predicting abnormal stress MPS. METHODS: We included 5,601 consecutive patients with suspected CAD, who underwent stress MPS at our academic center. Two different models were considered: a basic model including age, gender, and anginal symptoms; and a clinical model including also diabetes, hypertension, hypercholesterolemia, smoking, and family history of CAD. RESULTS: In patients with abnormal MPS, the basic model classified more than 75% of patients as intermediate risk, whereas only 23% were incorrectly classified as low risk. In patients with normal MPS, 45% were correctly classified as low risk and none as high risk. Basic and clinical models had a limited discriminating capacity (area under the receiver operating characteristic curve 0.644 for basic model and 0.647 for clinical model) between individuals with and without abnormal stress MPS. The decision curve analysis demonstrates a high net benefit across a range of threshold probabilities from ~ 15% to ~30% for both models. CONCLUSIONS: A pretest risk stratification based on traditional cardiovascular risk factors has a limited value for predicting an abnormal stress MPS in patients with suspected CAD. However, selecting a proper threshold probability enhances the appropriateness of referral to stress MPS.
Pretest models for predicting abnormal stress single-photon emission computed tomography myocardial perfusion imaging
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Pretest models for predicting abnormal stress single-photon emission computed tomography myocardial perfusion imaging
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Petretta M, Megna R, Assante R, Zampella E, Nappi C, Gaudieri V, Mannarino T, Green R, Cantoni V, D , #xantonio A, Panico M, Acampa W, Cuocolo A
* External validation and update of the J-ACCESS model in an Italian cohort of patients undergoing stress myocardial perfusion imaging (192 views)
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2023 Jan 4; N/D: N/D-N/D.
Impact Factor: 2.811
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Megna R, Petretta M, Assante R, Zampella E, Nappi C, Gaudieri V, Mannarino T, Green R, Cantoni V, Buongiorno P, D , #antonio A, Acampa W, Cuocolo A
* External validation of the CRAX2MACE model in an Italian cohort of patients with suspected coronary artery disease undergoing stress myocardial perfusion imaging (176 views)
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2021 Nov 3; N/D: N/D-N/D.
Impact Factor: 2.811
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Nappi C, Petretta M, Assante R, Zampella E, Gaudieri V, Cantoni V, Green R, Volpe F, Piscopo L, Mainolfi CG, Nicolai E, Acampa W, Cuocolo A
* Prognostic value of heart rate reserve in patients with suspected coronary artery disease undergoing stress myocardial perfusion imaging (137 views)
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2021 Aug 3; N/D: N/D-N/D.
Impact Factor: 2.811
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Megna R, Zampella E, Assante R, Nappi C, Gaudieri V, Mannarino T, Cantoni V, Green R, Daniele S, Mainolfi CG, Acampa W, Petretta M, Cuocolo A
* Temporal trends of abnormal myocardial perfusion imaging in a cohort of Italian subjects: Relation with cardiovascular risk factors (435 views)
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2020 Dec; 27(6): 2167-2177.
Impact Factor: 3.847
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Megna R, Nappi C, Gaudieri V, Mannarino T, Assante R, Zampella E, Green R, Cantoni V, D'Antonio A, Arumugam P, Acampa W, Petretta M, Cuocolo A
* Diagnostic value of clinical risk scores for predicting normal stress myocardial perfusion imaging in subjects without coronary artery calcium (219 views)
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2020 Jun 29; N/D: N/D-N/D.
Impact Factor: 3.847
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Nappi C, Acampa W, Nicolai E, Daniele S, Zampella E, Assante R, Gaudieri V, Mannarino T, Petretta M, Cuocolo A
* Long-term prognostic value of low-dose normal stress-only myocardial perfusion imaging by wide beam reconstruction: A competing risk analysis (390 views)
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2020 Apr; 27(2): 547-557.
Impact Factor: 3.847
View Export to BibTeX Export to EndNote
* External validation and update of the J-ACCESS model in an Italian cohort of patients undergoing stress myocardial perfusion imaging (192 views)
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2023 Jan 4; N/D: N/D-N/D.
Impact Factor: 2.811
View Export to BibTeX Export to EndNote
Megna R, Petretta M, Assante R, Zampella E, Nappi C, Gaudieri V, Mannarino T, Green R, Cantoni V, Buongiorno P, D , #antonio A, Acampa W, Cuocolo A
* External validation of the CRAX2MACE model in an Italian cohort of patients with suspected coronary artery disease undergoing stress myocardial perfusion imaging (176 views)
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2021 Nov 3; N/D: N/D-N/D.
Impact Factor: 2.811
View Export to BibTeX Export to EndNote
Nappi C, Petretta M, Assante R, Zampella E, Gaudieri V, Cantoni V, Green R, Volpe F, Piscopo L, Mainolfi CG, Nicolai E, Acampa W, Cuocolo A
* Prognostic value of heart rate reserve in patients with suspected coronary artery disease undergoing stress myocardial perfusion imaging (137 views)
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2021 Aug 3; N/D: N/D-N/D.
Impact Factor: 2.811
View Export to BibTeX Export to EndNote
Megna R, Zampella E, Assante R, Nappi C, Gaudieri V, Mannarino T, Cantoni V, Green R, Daniele S, Mainolfi CG, Acampa W, Petretta M, Cuocolo A
* Temporal trends of abnormal myocardial perfusion imaging in a cohort of Italian subjects: Relation with cardiovascular risk factors (435 views)
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2020 Dec; 27(6): 2167-2177.
Impact Factor: 3.847
View Export to BibTeX Export to EndNote
Megna R, Nappi C, Gaudieri V, Mannarino T, Assante R, Zampella E, Green R, Cantoni V, D'Antonio A, Arumugam P, Acampa W, Petretta M, Cuocolo A
* Diagnostic value of clinical risk scores for predicting normal stress myocardial perfusion imaging in subjects without coronary artery calcium (219 views)
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2020 Jun 29; N/D: N/D-N/D.
Impact Factor: 3.847
View Export to BibTeX Export to EndNote
Nappi C, Acampa W, Nicolai E, Daniele S, Zampella E, Assante R, Gaudieri V, Mannarino T, Petretta M, Cuocolo A
* Long-term prognostic value of low-dose normal stress-only myocardial perfusion imaging by wide beam reconstruction: A competing risk analysis (390 views)
J Nucl Cardiol (ISSN: 1071-3581linking, 1532-6551electronic), 2020 Apr; 27(2): 547-557.
Impact Factor: 3.847
View Export to BibTeX Export to EndNote
6 Records (6 excluding Abstracts).
Total impact factor: 19.974 (19.974 excluding Abstracts).
Total 5 year impact factor: 17.695 (17.695 excluding Abstracts).
Total impact factor: 19.974 (19.974 excluding Abstracts).
Total 5 year impact factor: 17.695 (17.695 excluding Abstracts).
239 views. Last view on Friday 13 December 2024, 22:26:06
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