Relations of Serum Interleukin 18 Levels to Serum Lipid and Glucose Concentrations in an Apparently Healthy Adult Population

ObjectiveTo assess the prevalence of short corrected QT (QTc) intervals and its impact on short QT syndrome (SQTS) diagnosis using different QT correction formulae.MethodsObservational study. The prevalence of short QTc intervals was estimated using four different QT correction formulae in 14 662 young adults from the ‘Sudden Cardiac Death Screening of Risk FactOrS’ (SCD-SOS) cohort. Then, using data from this cohort and the pooled-cohort analysed by Gollob et al, comprising 61 patients with SQTS, we assessed the impact of the different QTc correction formulae on SQTS probability and diagnosis based on the Expert Consensus recommendations (QTc ≤330 ms or QTc 330–360 ms+1 additional risk feature).ResultsThe prevalence of individuals with a QTc ≤330 and ≤320 ms in the SCD-SOS cohort was extremely low (≤0.07% and≤0.02%, respectively), and these were more frequently identified by the Framingham correction. The different QTc correction formulae led to a shift in SQTS probability in 5%–10% of individuals in both the SCD-SOS and Gollob cohort). Intermediate probability individuals were rare (<0.1%), and no high-SQTS probability individuals were identified in the SCD-SOS cohort. Based on Consensus criteria, instead of 12 (0.08%) individuals being diagnosed with SQTS using the Bazett equation, a different number of individuals would meet diagnostic criteria with the other formulae: 11 (0.08%) using Fridericia, 9 (0.06%) with Hodges and 16 (0.11%) using the Framingham equation.ConclusionPrevalence of SQTS in the apparently healthy adult population is low. Applying different QTc correction formulae leads to significant reclassification of SQTS probability and their impact on predicting outcomes should be assessed.

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

Journal of Clinical Laboratory Analysis ◽

10.1002/jcla.22380 ◽

2018 ◽

Vol 32 (5) ◽

pp. e22380 ◽

Cited By ~ 2

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

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

10.36106/ijsr/0505727 ◽

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.

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