BACKGROUND: This study is a part of the IFCC-global study to derive reference intervals (RIs) for 28 chemistry analytes in Saudis. METHOD: Healthy individuals (n=826) aged ≥18 years were recruited using the global study protocol. All specimens were measured using an Architect analyzer. RIs were derived by both parametric and non-parametric methods for comparative purpose. The need for secondary exclusion of reference values based on latent abnormal values exclusion (LAVE) method was examined. The magnitude of variation attributable to gender, ages and regions was calculated by the standard deviation ratio (SDR). Sources of variations: age, BMI, physical exercise and smoking levels were investigated by using the multiple regression analysis. RESULTS: SDRs for gender, age and regional differences were significant for 14, 8 and 2 analytes, respectively. BMI-related changes in test results were noted conspicuously for CRP. For some metabolic related parameters the ranges of RIs by non-parametric method were wider than by the parametric method and RIs derived using the LAVE method were significantly different than those without it. RIs were derived with and without gender partition (BMI, drugs and supplements were considered). CONCLUSIONS: RIs applicable to Saudis were established for the majority of chemistry analytes, whereas gender, regional and age RI partitioning was required for some analytes. The elevated upper limits of metabolic analytes reflects the existence of high prevalence of metabolic syndrome in Saudi population.
BACKGROUND: This study is a part of the IFCC-global study to derive reference intervals (RIs) for 28 chemistry analytes in Saudis. METHOD: Healthy individuals (n=826) aged ≥18 years were recruited using the global study protocol. All specimens were measured using an Architect analyzer. RIs were derived by both parametric and non-parametric methods for comparative purpose. The need for secondary exclusion of reference values based on latent abnormal values exclusion (LAVE) method was examined. The magnitude of variation attributable to gender, ages and regions was calculated by the standard deviation ratio (SDR). Sources of variations: age, BMI, physical exercise and smoking levels were investigated by using the multiple regression analysis. RESULTS: SDRs for gender, age and regional differences were significant for 14, 8 and 2 analytes, respectively. BMI-related changes in test results were noted conspicuously for CRP. For some metabolic related parameters the ranges of RIs by non-parametric method were wider than by the parametric method and RIs derived using the LAVE method were significantly different than those without it. RIs were derived with and without gender partition (BMI, drugs and supplements were considered). CONCLUSIONS: RIs applicable to Saudis were established for the majority of chemistry analytes, whereas gender, regional and age RI partitioning was required for some analytes. The elevated upper limits of metabolic analytes reflects the existence of high prevalence of metabolic syndrome in Saudi population.
Authors: Luisa Martinez-Sanchez; Christa M Cobbaert; Raymond Noordam; Nannette Brouwer; Albert Blanco-Grau; Yolanda Villena-Ortiz; Marc Thelen; Roser Ferrer-Costa; Ernesto Casis; Francisco Rodríguez-Frias; Wendy P J den Elzen Journal: PLoS One Date: 2022-05-19 Impact factor: 3.752
Authors: Heba Baz; Kiyoshi Ichihara; May Selim; Ahmed Awad; Sarah Aglan; Dalia Ramadan; Amina Hassab; Lamia Mansour; Ola Elgaddar Journal: PLoS One Date: 2021-03-19 Impact factor: 3.240
Authors: Ghada M A Ajabnoor; Suhad Bahijri; Aliaa Amr Alamoudi; Rajaa Al Raddadi; Jawaher Al-Ahmadi; Hanan Jambi; Anwar Borai; Jaakko Toumilehto Journal: PLoS One Date: 2021-02-23 Impact factor: 3.240