Differences in Prognostic Value of Myocardial Perfusion Single-Photon Emission Computed Tomography Using High-Efficiency Solid-State Detector Between Men and Women in a Large International Multicenter Study.


Journal

Circulation. Cardiovascular imaging
ISSN: 1942-0080
Titre abrégé: Circ Cardiovasc Imaging
Pays: United States
ID NLM: 101479935

Informations de publication

Date de publication:
06 2022
Historique:
entrez: 21 6 2022
pubmed: 22 6 2022
medline: 24 6 2022
Statut: ppublish

Résumé

Semiquantitative assessment of stress myocardial perfusion defect has been shown to have greater prognostic value for prediction of major adverse cardiac events (MACE) in women compared with men in single-center studies with conventional single-photon emission computed tomography (SPECT) cameras. We evaluated sex-specific difference in the prognostic value of automated quantification of ischemic total perfusion defect (ITPD) and the interaction between sex and ITPD using high-efficiency SPECT cameras with solid-state detectors in an international multicenter imaging registry (REFINE SPECT [Registry of Fast Myocardial Perfusion Imaging With Next-Generation SPECT]). Rest and exercise or pharmacological stress SPECT myocardial perfusion imaging were performed in 17 833 patients from 5 centers. MACE was defined as the first occurrence of death or myocardial infarction. Total perfusion defect (TPD) at rest, stress, and ejection fraction were quantified automatically by software. ITPD was given by stressTPD-restTPD. Cox proportional hazards model was used to evaluate the association between ITPD versus MACE-free survival and expressed as a hazard ratio. In 10614 men and 7219 women, with a median follow-up of 4.75 years (interquartile range, 3.7-6.1), there were 1709 MACE. In a multivariable Cox model, after adjusting for revascularization and other confounding variables, ITPD was associated with MACE (hazard ratio, 1.08 [95% CI, 1.05-1.1]; In the international, multicenter REFINE SPECT registry, moderate and severe ischemia as quantified by ITPD from high-efficiency SPECT is associated with a worse prognosis in women compared with men.

Sections du résumé

BACKGROUND
Semiquantitative assessment of stress myocardial perfusion defect has been shown to have greater prognostic value for prediction of major adverse cardiac events (MACE) in women compared with men in single-center studies with conventional single-photon emission computed tomography (SPECT) cameras. We evaluated sex-specific difference in the prognostic value of automated quantification of ischemic total perfusion defect (ITPD) and the interaction between sex and ITPD using high-efficiency SPECT cameras with solid-state detectors in an international multicenter imaging registry (REFINE SPECT [Registry of Fast Myocardial Perfusion Imaging With Next-Generation SPECT]).
METHODS
Rest and exercise or pharmacological stress SPECT myocardial perfusion imaging were performed in 17 833 patients from 5 centers. MACE was defined as the first occurrence of death or myocardial infarction. Total perfusion defect (TPD) at rest, stress, and ejection fraction were quantified automatically by software. ITPD was given by stressTPD-restTPD. Cox proportional hazards model was used to evaluate the association between ITPD versus MACE-free survival and expressed as a hazard ratio.
RESULTS
In 10614 men and 7219 women, with a median follow-up of 4.75 years (interquartile range, 3.7-6.1), there were 1709 MACE. In a multivariable Cox model, after adjusting for revascularization and other confounding variables, ITPD was associated with MACE (hazard ratio, 1.08 [95% CI, 1.05-1.1];
CONCLUSIONS
In the international, multicenter REFINE SPECT registry, moderate and severe ischemia as quantified by ITPD from high-efficiency SPECT is associated with a worse prognosis in women compared with men.

Identifiants

pubmed: 35727872
doi: 10.1161/CIRCIMAGING.121.012741
pmc: PMC9307118
mid: NIHMS1807529
doi:

Types de publication

Journal Article Multicenter Study Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

e012741

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL089765
Pays : United States
Organisme : NHLBI NIH HHS
ID : R56 HL131871
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States

Références

J Nucl Cardiol. 2013 Oct;20(5):763-73
pubmed: 23737160
J Am Coll Cardiol. 2010 Jan 19;55(3):221-30
pubmed: 19913381
J Am Coll Cardiol. 1996 Jul;28(1):34-44
pubmed: 8752792
J Nucl Cardiol. 2018 Oct;25(5):1784-1846
pubmed: 29802599
J Am Coll Cardiol. 2007 Jan 16;49(2):227-37
pubmed: 17222734
J Nucl Cardiol. 2007 Jul;14(4):420-32
pubmed: 17679051
J Nucl Cardiol. 2012 Dec;19(6):1113-23
pubmed: 23065414
J Nucl Med. 2009 Apr;50(4):635-43
pubmed: 19339672
J Nucl Cardiol. 2005 Jan-Feb;12(1):32-6
pubmed: 15682363
J Nucl Cardiol. 1996 Nov-Dec;3(6 Pt 2):S41-9
pubmed: 8989686
Cardiovasc Res. 2002 Feb 15;53(3):558-67
pubmed: 11861026
J Nucl Med. 2013 Feb;54(2):221-8
pubmed: 23315665
J Nucl Cardiol. 2020 Jun;27(3):1010-1021
pubmed: 29923104
JACC Cardiovasc Imaging. 2011 Aug;4(8):880-8
pubmed: 21835380
J Am Coll Cardiol. 2013 Nov 12;62(20):1866-76
pubmed: 23850903
Circulation. 2017 Feb 7;135(6):566-577
pubmed: 27881570
JACC Cardiovasc Imaging. 2020 Mar;13(3):774-785
pubmed: 31202740
Circulation. 2014 Jun 17;129(24):2518-27
pubmed: 24787469
J Nucl Med. 2005 Feb;46(2):204-11
pubmed: 15695777
J Nucl Cardiol. 2007 Jul;14(4):455-65
pubmed: 17679053
J Nucl Cardiol. 2005 Jan-Feb;12(1):66-77
pubmed: 15682367
N Engl J Med. 1993 Jul 22;329(4):247-56
pubmed: 8316269
Circulation. 1996 Mar 1;93(5):905-14
pubmed: 8598081
J Am Coll Cardiol. 1998 Dec;32(7):1987-95
pubmed: 9857883
Circ Cardiovasc Imaging. 2017 Aug;10(8):
pubmed: 28790123
Cardiol Rev. 2002 Jul-Aug;10(4):211-3
pubmed: 12144731
JAMA Cardiol. 2017 Nov 1;2(11):1179-1180
pubmed: 28877311
J Am Coll Cardiol. 1995 Sep;26(3):639-47
pubmed: 7642853
J Am Coll Cardiol. 2003 Apr 2;41(7):1125-33
pubmed: 12679212
Eur Heart J. 2018 Nov 1;39(41):3727-3735
pubmed: 30212857
J Nucl Med. 2010 Jan;51(1):46-51
pubmed: 20008999
J Nucl Med. 2010 Nov;51(11):1724-31
pubmed: 20956478

Auteurs

Balaji K Tamarappoo (BK)

Department of Medicine (Division of Artificial Intelligence), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles (B.K.T., Y.O., L.-H.H., H.G., E.E., J.X.L., D.D., D.S.B., P.J.S.).

Yuka Otaki (Y)

Department of Medicine (Division of Artificial Intelligence), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles (B.K.T., Y.O., L.-H.H., H.G., E.E., J.X.L., D.D., D.S.B., P.J.S.).

Tali Sharir (T)

Department of Nuclear Cardiology, Assuta Medical Centers, Tel Aviv, Israel (T.S.).
Ben Gurion University of the Negev, Beer Sheba, Israel (T.S.).

Lien-Hsin Hu (LH)

Department of Medicine (Division of Artificial Intelligence), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles (B.K.T., Y.O., L.-H.H., H.G., E.E., J.X.L., D.D., D.S.B., P.J.S.).
Department of Nuclear Medicine, Taipei Veterans General Hospital, Taiwan (L.-H.H.).

Heidi Gransar (H)

Department of Medicine (Division of Artificial Intelligence), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles (B.K.T., Y.O., L.-H.H., H.G., E.E., J.X.L., D.D., D.S.B., P.J.S.).

Andrew J Einstein (AJ)

Division of Cardiology, Department of Medicine, and Department of Radiology, Columbia University Irving Medical Center and New York-Presbyterian Hospital (A.J.E.).

Mathews B Fish (MB)

Oregon Heart and Vascular Institute, Sacred Heart Medical Center, Springfield, OR (M.B.F.).

Terrence D Ruddy (TD)

Division of Cardiology, University of Ottawa Heart Institute, ON, Canada (T.D.R.).

Philipp Kaufmann (P)

Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Switzerland (P.K.).

Albert J Sinusas (AJ)

Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (A.J.S., E.J.M.).

Edward J Miller (EJ)

Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (A.J.S., E.J.M.).

Timothy M Bateman (TM)

Cardiovascular Imaging Technologies LLC, Kansas City, MO (T.M.B.).

Sharmila Dorbala (S)

Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Brigham and Women's Hospital, Boston, MA (S.D., M.D.C.).

Marcelo Di Carli (M)

Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Brigham and Women's Hospital, Boston, MA (S.D., M.D.C.).

Evann Eisenberg (E)

Department of Medicine (Division of Artificial Intelligence), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles (B.K.T., Y.O., L.-H.H., H.G., E.E., J.X.L., D.D., D.S.B., P.J.S.).

Joanna X Liang (JX)

Department of Medicine (Division of Artificial Intelligence), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles (B.K.T., Y.O., L.-H.H., H.G., E.E., J.X.L., D.D., D.S.B., P.J.S.).

Damini Dey (D)

Department of Medicine (Division of Artificial Intelligence), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles (B.K.T., Y.O., L.-H.H., H.G., E.E., J.X.L., D.D., D.S.B., P.J.S.).

Daniel S Berman (DS)

Department of Medicine (Division of Artificial Intelligence), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles (B.K.T., Y.O., L.-H.H., H.G., E.E., J.X.L., D.D., D.S.B., P.J.S.).

Piotr J Slomka (PJ)

Department of Medicine (Division of Artificial Intelligence), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles (B.K.T., Y.O., L.-H.H., H.G., E.E., J.X.L., D.D., D.S.B., P.J.S.).

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