Serum prealbumin levels and their association with serum albumin, calcium, magnesium, and phosphorus concentrations

Authors : Alpaslan Öztürk, Gülşah Demirci

Pages : 412-417

Doi:10.47582/jompac.1346527

View : 77 | Download : 96

Publication Date : 2023-10-27

Article Type : Research Paper

Abstract :Aims: Prealbumin is a specific and famous marker of nutritional conditions. The aim of our study was to investigate the relationship between serum prealbumin concentrations and serum albumin, magnesium, phosphorus and calcium levels. Methods: A total of 200 patients, 100 male and 100 female, aged 18-65 years, who applied to the Etlik City Hospital Internal Diseases Polyclinic between January 2023 and June 2023, were included in our study. The patients\' prealbumin, albumin, calcium (Ca), magnesium (Mg), phosphorus (P), creatinine, low-density lipoprotein (LDL), high-density lipoprotein (HDL), and complete blood count parameters (hemoglobin, white blood cell (WBC), platelet (PLT)) results were evaluated. Results: The median prealbumin of female subjects was 0.50 (0.1-1.0), while the median prealbumin of male subjects was 0.40 (0.1-1.0). There was no statistically significant difference between the groups (p>0.05). There is a direct positive between prealbumin concentration and calcium (r: 0.75; p<0.001), hemoglobin (r: 0.46; p<0.001), LDL (r: 0.50; p<0.001) and HDL (r: 0.63; p<0.001) concentrations and an negative correlation between magnesium (r: -0.16; p:0.02) and PLT (r: -0.31; p<0.001). Logistic regression analysis was performed to determine the independent variables affecting prealbumin concentration. The independent variables included in the model were HDL, LDL, body mass index (BMI), creatinine, WBC, phosphorus, age, magnesium, albumin, PLT, hemoglobin, and calcium. The Nagelgerke R2 square value of the model was 0.73 and the p value of the model in ANOVA analysis was calculated as <0.001. A regression formula for prealbumin concentrations was found: Prealbumin concentration = -0.609 + (Age x -0.002) + (BMI x 0.001) + (Ca x 0.63) + (Mg x -0.020) + (P x -0.002) + (Creatinine x 0.034) + (Hb x 0.016) + (WBC x -0.004) + (HDL x 0.001) + (LDL x 0.004). Conclusion: We think that the findings of our study will be useful in elucidating the relationship between serum prealbumin and albumin levels, which are important indicators of dietary protein intake, and serum mineral concentrations. Our study is the first manuscript to present a regression formula for prealbumin. The diagnostic and prognostic importance of prealbumin can be further elucidated by recruiting special and larger patient groups.
Keywords : Prealbümin, albümin, kalsiyum, magnezyum, fosfor