prediction was constructed and thirdly the computer
risk assessment model was tested on 50 patients with ACS
Mike Saji,
Marc Katz,
Gorav Ailawadi,
Dale Fowler,
Damien LaPar,
Leora Yarboro,
Ravi Ghanta,
John Kern,
John Dent,
Michael Ragosta,
Scott Lim (2016) This study aimed to determine if age-adjusted Charlson comorbidity index could
predict mortality
%
predicted (P-adj=0.005 and P-adj=0.0019). Interpretation
conclusions: Our study showed the association
in patients with coronary heart disease
(CHD) and myocardial infarction (MI) may
predict higher mortality rate
Korneyev, I.A.,
Alexeeva, T.A.,
Al-Shukri, S.H.,
Bernikov, A.N.,
Erkovich, A.A.,
Kamalov, A.A.,
Kogan, M.I.,
Pavlov, V.N.,
Zhuravlev, V.N.,
Pushkar, D.Y. (2016) An analysis of prevalence and associated common
risk factors of ED and lower urinary tract symptoms
of the response to
MTX. No unequivocal
predictive SNP has been found yet, because many were
assessed in only one
of this study was to identify the groups that are at
risk of developing delirium among elderly patients
Shaymardanova, E.Kh.,
Nurgalieva, A.Kh.,
Khidiyatova, I.M.,
Gabbasova, L.V.,
Kuramshina, O.A.,
Kryukova, A.Ya.,
Sagitov, R.B.,
Munasipov, F.R.,
Khusnutdinova, E.Kh. (2016) , rs3918242 and rs17576 of gene MMP9, and rs9619311 of gene TIMP3 with the
risk of peptic
ulcer disease