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
.
Results: The following risk factors were analyzed: heart rate (HR),
age, gender, myocardial infarction (MI
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) , respectively. Men with both ED and LUTS shared common co-morbidities and lifestyle risk factors with
ageTsai, J.,
Huh, J.,
Idrisov, B.,
Galimov, A.,
Espada, J.P.,
Gonzálvez, M.T.,
Sussman, S. (2016) adolescents in Russia (average
age = 16.27; n = 715) and Spain (average
age = 14.9; n = 811). Last 30-day
.
Design and Method:
The study group consisted of 216 patients with essential hypertension (mean
age 48
. Material: in the research
80 student (of 17-18 years’
age) participated; they were divided into group
Ying Xu,
Dennis Nguyen,
Armin Mohamed,
Cheryl Carcel,
Qiang Li,
Kutlubaev, M.A.,
Anderson, Craig S.,
Hackett, Maree L. (2016) of all
ages receiving a diagnosis of epilepsy. All observational study designs were included
antenatal care clinics and population-based seroprevalence surveys, and with assumptions by
age and sex
КОМПЛЕКСНЫЙ КОНТРОЛЬ КАК ФАКТОР ИНДИВИДУАЛИЗИРОВАННОГО УПРАВЛЕНИЯ ПОДГОТОВКОЙ СПОРТИВНОГО РЕЗЕРВА В ОРИЕНТИРОВАНИИЭрлих, В.В.,
Абзалилов, Р.Я.,
Исаев, А.П.,
Темникова, И.В.,
Erlikh, V.V.,
Abzalilov, R.Ya.,
Isaev, A.P.,
Temnikovа, I.V. (2016) ,
assessment of morphofunctional genetic features,
age-related psychophysiological and informational
components