PMID- 24663289
OWN - NLM
STAT- MEDLINE
DCOM- 20150330
LR  - 20211021
IS  - 1619-7089 (Electronic)
IS  - 1619-7070 (Print)
IS  - 1619-7070 (Linking)
VI  - 41
IP  - 9
DP  - 2014 Sep
TI  - A prediction model for 5-year cardiac mortality in patients with chronic heart 
      failure using (1)(2)(3)I-metaiodobenzylguanidine imaging.
PG  - 1673-82
LID - 10.1007/s00259-014-2759-x [doi]
AB  - PURPOSE: Prediction of mortality risk is important in the management of chronic 
      heart failure (CHF). The aim of this study was to create a prediction model for 
      5-year cardiac death including assessment of cardiac sympathetic innervation 
      using data from a multicenter cohort study in Japan. METHODS: The original pooled 
      database consisted of cohort studies from six sites in Japan. A total of 933 CHF 
      patients who underwent (123)I-metaiodobenzylguanidine (MIBG) imaging and whose 
      5-year outcomes were known were selected from this database. The late MIBG 
      heart-to-mediastinum ratio (HMR) was used for quantification of cardiac uptake. 
      Cox proportional hazard and logistic regression analyses were used to select 
      appropriate variables for predicting 5-year cardiac mortality. The formula for 
      predicting 5-year mortality was created using a logistic regression model. 
      RESULTS: During the 5-year follow-up, 205 patients (22 %) died of a cardiac event 
      including heart failure death, sudden cardiac death and fatal acute myocardial 
      infarction (64 %, 30 % and 6 %, respectively). Multivariate logistic analysis 
      selected four parameters, including New York Heart Association (NYHA) functional 
      class, age, gender and left ventricular ejection fraction, without HMR (model 1) 
      and five parameters with the addition of HMR (model 2). The net reclassification 
      improvement analysis for all subjects was 13.8 % (p < 0.0001) by including HMR 
      and its inclusion was most effective in the downward reclassification of low-risk 
      patients. Nomograms for predicting 5-year cardiac mortality were created from the 
      five-parameter regression model. CONCLUSION: Cardiac MIBG imaging had a 
      significant additive value for predicting cardiac mortality. The prediction 
      formula and nomograms can be used for risk stratifying in patients with CHF.
FAU - Nakajima, Kenichi
AU  - Nakajima K
AD  - Department of Nuclear Medicine, Kanazawa University Hospital, 13-1 Takara-machi, 
      Kanazawa, 920-8641, Japan, nakajima@med.kanazawa-u.ac.jp.
FAU - Nakata, Tomoaki
AU  - Nakata T
FAU - Yamada, Takahisa
AU  - Yamada T
FAU - Yamashina, Shohei
AU  - Yamashina S
FAU - Momose, Mitsuru
AU  - Momose M
FAU - Kasama, Shu
AU  - Kasama S
FAU - Matsui, Toshiki
AU  - Matsui T
FAU - Matsuo, Shinro
AU  - Matsuo S
FAU - Travin, Mark I
AU  - Travin MI
FAU - Jacobson, Arnold F
AU  - Jacobson AF
LA  - eng
PT  - Journal Article
DEP - 20140325
PL  - Germany
TA  - Eur J Nucl Med Mol Imaging
JT  - European journal of nuclear medicine and molecular imaging
JID - 101140988
RN  - 35MRW7B4AD (3-Iodobenzylguanidine)
SB  - IM
MH  - *3-Iodobenzylguanidine
MH  - Analysis of Variance
MH  - Chronic Disease/mortality
MH  - *Death
MH  - Female
MH  - Heart Failure/*diagnostic imaging/*mortality
MH  - Humans
MH  - Logistic Models
MH  - Male
MH  - Middle Aged
MH  - *Models, Statistical
MH  - Radionuclide Imaging
MH  - Risk
PMC - PMC4122818
EDAT- 2014/03/26 06:00
MHDA- 2015/03/31 06:00
PMCR- 2014/03/25
CRDT- 2014/03/26 06:00
PHST- 2014/01/06 00:00 [received]
PHST- 2014/03/10 00:00 [accepted]
PHST- 2014/03/26 06:00 [entrez]
PHST- 2014/03/26 06:00 [pubmed]
PHST- 2015/03/31 06:00 [medline]
PHST- 2014/03/25 00:00 [pmc-release]
AID - 2759 [pii]
AID - 10.1007/s00259-014-2759-x [doi]
PST - ppublish
SO  - Eur J Nucl Med Mol Imaging. 2014 Sep;41(9):1673-82. doi: 
      10.1007/s00259-014-2759-x. Epub 2014 Mar 25.