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risk assessment also on the outhospital level to stratify the mortality
risk of patients
VASILYEVA, E.V.,
SITDIKOVA, I.D.,
KAMALETDINOVA, A.A.,
LOPUSHOV, D.V.,
USMANOVA, I.N.,
GERASIMOVA, L.I. (2018) in order to identify the concentration of hazardous substances and their effect on human health. To
assess, and
assessed public human health and occupational
risks of the oil extraction industry. Oil extraction
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
Tao, Pan,
Galiullin, D,
Chen, X.L.,
Zhang, W.H.,
Yang, K,
Liu, K,
Zhao, L.Y.,
Chen, X.Z.,
Hu, J.K. (2021) performed to determine
risk factors for ASBO. A nomogram for the prediction of ASBO was generated using
ZAGIDULLIN, N.SH.,
MOTLOCH, LUKAS J,,
GAREEVA, D.F.,
HAMITOVA, AYSILU,
LAKMAN, I.A.,
KRIONI, ILJA,
POPOV, DENIS,
ZULKARNEEV, R.KH.,
PAAR, VERA,
KOPP, KRISTEN,
JIRAK, PETER,
ISHMETOV, V.SH.,
HOPPE, UTA C.,
TULBAEV, EDUARD,
V.N. Pavlov (2020) ) have emerged as potential tools in stratifying
risk in cardiac patients. Indeed, multimarker approaches
of this study was to identify the groups that are at
risk of developing delirium among elderly patients
. Our aim was to
assess
the role of chemokine genes and their interaction in its development. Genotyping
.01) insulin, HOMA-IR (homeostasis model
assessment of insulin resistance, p=0.0019), hsCRP (p=0.036), waist