Ethnic variation in certain hematological and biochemical reference intervals in a south Indian healthy adult population

2008 ◽  
Vol 19 (1) ◽  
pp. 46-50 ◽  
Author(s):  
M. Sundaram ◽  
J. Mohanakrishnan ◽  
K.G. Murugavel ◽  
E.M. Shankar ◽  
S. Solomon ◽  
...  
Keyword(s):  
Healthy Adult ◽  
Adult Population ◽  
Reference Intervals ◽  
Ethnic Variation ◽  
South Indian

scholarly journals Reference intervals of carbohydrate antigen 19-9 in the apparently healthy adult population

2018 ◽  
Vol 32 (5) ◽  
pp. e22380 ◽  
Author(s):  
Gao-Ming Zhang ◽  
Shu-Mei Bai ◽  
Guo-Ming Zhang ◽  
Xiao-Bo Ma
Keyword(s):  
Healthy Adult ◽  
Adult Population ◽  
Carbohydrate Antigen ◽  
Reference Intervals ◽  
Apparently Healthy

ESTABLISHING REFERENCE INTERVALS FOR LIPID PROFILE IN HEALTHY ADULT POPULATION OF AMBALAPPUZHA NORTH GRAMA PANCHAYATH, ALAPPUZHA, KERALA.

2021 ◽  
pp. 7-11
Author(s):  
Saleena Prameela CR ◽  
Bindu Gopinathan Nair ◽  
Shamha Beegum M ◽  
Kezia Blessinda R
Keyword(s):  
Total Cholesterol ◽  
Ldl Cholesterol ◽  
Healthy Adult ◽  
Clinical Chemistry ◽  
Adult Population ◽  
Hdl Cholesterol ◽  
Reference Intervals ◽  
Reference Ranges ◽  
Cross Sectional ◽  
Apparently Healthy

Introduction: We established reference intervals for serum lipids in an apparently healthy adult population of Ambalappuzha North Grama panchayath in Alappuzha district of Kerala. Methods: This cross-sectional study was done on 447 apparently healthy individuals of both sexes aged between 18-75 years who attended a health camp organized by the Department of Biochemistry, Government T.D. MedicalCollege in association with the Ambalappuzha North Grama Panchayath.Samples were analyzed in a Beckman Clinical chemistry analyzer. Mean, standard deviation, median,90% condence limits for th th th median and central 95 percentile were calculated. The 2.5 and 97.5 percentiles formed the lower and upper reference limits of population. Statistical analysis was done using SPSS ver.16 software. Results:Reference interval for Total cholesterol was 132.2-262 mg/dl, for HDL-cholesterol 28.2-62 mg/dl ,for LDL-cholesterol 66.2-175 mg/dl, for triglyceride 65-218.8 mg/dl, for VLDL 13-43.8 mg/dl and Total cholesterol/HDL-cholesterol ratio 2.67 – 6.4.Reference intervals for Total cholesterol,LDL-cholesterol and Triglyceride were higher than the desirable limits suggested by NCEP ATP III guidelines and the reference intervals established by many studies. There was a gradual increase in these parameters with age up to 60 years. The reference intervals for HDLcholesterol were lower in both males and females. Total cholesterol and LDL-cholesterol were higher in females compared to males. Conclusion:There exists difference in reference intervals for various populations and hence there is a need for more population studies so that reference ranges for lipid parameters can be established which will help in better health care.

Sleep Habits and Sleep Patterns in Healthy Adult Population in Chennai

2012 ◽  
Vol 3 (5) ◽  
pp. 507-508
Author(s):  
Dr. M. Ganesh Dr. M. Ganesh ◽  
◽  
Dr.S.A.Sridevi Dr.S.A.Sridevi ◽  
Dr. T.Janagan Dr. T.Janagan
Keyword(s):  
Healthy Adult ◽  
Adult Population ◽  
Sleep Patterns ◽  
Sleep Habits

Establishment of reference intervals for immunoassay analytes of adult population in Saudi Arabia

2020 ◽  
Vol 58 (8) ◽  
pp. 1302-1313 ◽  
Author(s):  
Anwar Borai ◽  
Kiyoshi Ichihara ◽  
Abdulaziz Masaud ◽  
Waleed Tamimi ◽  
Suhad Bahijri ◽  
...  
Keyword(s):  
Vitamin D ◽  
Saudi Arabia ◽  
Adult Population ◽  
Reference Intervals ◽  
Careful Consideration ◽  
Upper Limits ◽  
Sources Of Variation ◽  
Vitamin D Supplements ◽  
Saudi Arabians ◽  
Abbott Architect

AbstractBackgroundThis is a second part of report on the IFCC global multicenter study conducted in Saudi Arabia to derive reference intervals (RIs) for 20 immunoassay analytes including five tumor makers, five reproductive, seven other hormones and three vitamins.MethodsA total of 826 apparently healthy individuals aged ≥18 years were recruited in three clinical laboratories located in western, central and eastern Saudi Arabia using the protocol specified for the global study. All serum specimens were measured using Abbott, Architect analyzers. Multiple regression analysis (MRA) was performed to explore sources of variation of each analyte: age, body mass index (BMI), physical exercise and smoking. The magnitude of variation of reference values (RVs) attributable to sex, age and region was calculated by ANOVA as a standard deviation ratio (SDR). RIs were derived by the parametric (P) method.ResultsMRA revealed that region, smoking and exercise were not relevant sources of variation for any analyte. Based on SDR and actual between-sex differences in upper limits (ULs), we chose to partition RIs by sex for all analytes except for α-fetoprotein and parathyroid hormone (PTH). Age-specific RIs were required in females for ferritin, estradiol, progesterone, testosterone, follitropin, luteotropin and prolactin (PRL). With prominent BMI-related increase, RIs for insulin and C-peptide were derived after excluding individuals with BMI > 32 kg/m2. Individuals taking vitamin D supplements were excluded in deriving RIs for vitamin D and PTH.ConclusionsRIs of major immunoassay analytes specific for Saudi Arabians were established in careful consideration of various biological sources of variation.

scholarly journals Biological variation and reference change value data for serum copper, zinc and selenium in Turkish adult population

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ceylan Bal ◽  
Serpil Erdogan ◽  
Gamze Gök ◽  
Cemil Nural ◽  
Betül Özbek ◽  
...  
Keyword(s):  
Adult Population ◽  
Reference Intervals ◽  
Serum Copper ◽  
Biological Variation ◽  
Serum Samples ◽  
Reference Change Value ◽  
Index Of Individuality ◽  
Copper Zinc ◽  
Clinically Significant ◽  
Analytical Variation

Abstract Objectives Calculation of biological variation (BV) components is very important in evaluating whether a test result is clinically significant. The aim of this study is to analyze BV components for copper, zinc and selenium in a cohort of healthy Turkish participants. Methods A total of 10 serum samples were collected from each of the 15 healthy individuals (nine female, six male), once a week, during 10 weeks. Copper, zinc and selenium levels were analyzed by atomic absorption spectrometer. BV parameters were calculated with the approach suggested by Fraser. Results Analytical variation (CVA), within-subject BV (CVI), between-subject BV (CVG) values were 8.4, 7.1 and 4.3 for copper; 4.2, 9.1 and 13.7 for zinc; 7.6, 2.5 and 6.9 for selenium, respectively. Reference change values (RCV) were 30.46, 27.56 and 22.16% for copper, zinc and selenium, respectively. The index of individuality (II) values were 1.65, 0.66 and 0.36 for copper, zinc and selenium, respectively. Conclusions According to the results of this study, traditional reference intervals can be used for copper but we do not recommend using it for zinc and selenium. We think that it would be more accurate to use RCV value for zinc and selenium in terms of following significant changes in recurrent results of a patient.

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