title: New Predictive Equations for Serum Ionized Calcium in Hospitalized Patients.
abstract: OBJECTIVE
  To study a new and easy way to calculate equations to predict ionized calcium (Ca2+) for adult hospitalized patients with the usual laboratory and clinical parameters.
  
  
  METHODS
  This retrospective observational study was conducted in a third-level university hospital. An initial learning cohort (cohort L: 269 patients) was selected to derive the new equations. These equations were tested in a validation of another cohort (cohort V: 146 patients). Patients selected were hospitalized adults who had simultaneous determinations of Ca2+ and serum total calcium (CaTot). They were classified using their estimated glomerular filtration rate (GFRe) into normal function, moderate and severe kidney dysfunction. Demographic and biochemical parameters, in addition to comorbidities, were collected from hospital databases. Nine published equations to predict Ca2+ and 2 widely used equations to predict corrected CaTot were also selected to be compared to newer equations for accuracy in detecting serum calcium alterations. New equations were derived by a multiple linear-regression analysis from patients in cohort L.
  
  
  RESULTS
  Three equations were derived containing the CaTot square root as the main independent variable. Equation 1: Ca2+ = 0.815 × CaTot(0.5). Equation 2: Ca2+ = 0.826 × CaTot(0.5) - 0.023 × renal function. Equation 3: Ca2+ = 0.813 × CaTot(0.5) - 0.006 × albumin(0.75) + 0.079. These equations performed better than published equations to predict Ca2+ when their error measures were analyzed in cohort V, even in special populations such as critically ill and very old patients.
  
  
  CONCLUSIONS
  Three new equations predicting Ca2+ were derived requiring easily available clinical and laboratory parameters. They could be valuable in predicting hypocalcemia but are of limited use in hypercalcemia.
authors.affiliation: Department of Pharmacy, Hospital del Mar, Barcelona, Spain.
authors.forename: Javier
authors.initials: J
authors.lastname: Mateu-de Antonio
mesh_terms: D000367:Age Factors; D000368:Aged; D000465:Algorithms; D002118:Calcium / Q000097:blood*; D015897:Comorbidity; D005260:Female; D005919:Glomerular Filtration Rate; D006785:Hospitals, University; D006801:Humans; D006934:Hypercalcemia / Q000175:diagnosis*; D006996:Hypocalcemia / Q000175:diagnosis*; D008297:Male; D008875:Middle Aged; D011199:Potentiometry; D012044:Regression Analysis; D012189:Retrospective Studies; D012737:Sex Factors; D012959:Socioeconomic Factors; D013053:Spectrophotometry
chemical_list: D002118:Calcium