New Predictive Equations for Serum Ionized @entity460 in Hospitalized XXXX .

@entity1 @entity3747 @entity8 @entity2741 @entity460 @entity141
OBJECTIVE: To study new and easy way to calculate equations to predict ionized @entity460 ( @entity141 ) for adult hospitalized @entity1 with usual laboratory and clinical parameters. SUBJECTS AND METHODS: Retrospective observational study conducted in a third-level university hospital. An initial learning cohort (cohort L: 269 @entity1 ) was selected to deriving the new equations. These equations were tested in a validation of another cohort (cohort V: 146 @entity1 ). @entity1 selected were hospitalized adults that had simultaneous determinations of @entity141 and serum total @entity460 (CaTot). They were classified using their estimated glomerular filtration rate (GFRe) into normal function, moderate, and severe @entity8 . Demographic and biochemical parameters, in addition to comorbidities, were collected from hospital databases. Nine published equations to predict @entity141 and two widely-used equations to predict corrected CaTot were also selected to compare to newer equations in accuracy in detecting serum @entity460 alterations. New equations were derived by a multiple linear-regression analysis from @entity1 in cohort L. RESULTS: Three equations were derived containing CaTot square root as the main independent variable Eq. 1: @entity141 = 0.815 * CaTot0.5. Eq. 2: @entity141 = 0.826 * CaTot0.5 - 0.023 * RF. Eq 3: @entity141 = 0.813 * CaTot0.5 - 0.006 * Alb0.75 + 0.079. These equations performed better than published equations to predict @entity141 when analyzed their error measures in the cohort V, even in special populations as critically ill and very old @entity1 . CONCLUSIONS: Three new equations predicting @entity141 were derived requiring easy available clinical and laboratory parameters. They could be valuable in predicting @entity3747 , but of limited use in @entity2741 .
