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

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.

Jurnal BIOMA ◽  
2015 ◽  
Vol 11 (2) ◽  
pp. 131
Author(s):  
Pratiwi Widyamurti ◽  
Rusdi Rusdi ◽  
Sri Rahayu

ABSTRACT Increased blood pressure more than 140/90 mmHg taken from three measurement in 24 hours can be diagnosed as hypertension. Abnormality of lipid values condition was found at many hypertensive. Based on this reason examination of lipid profile in hypertensive and normotensive should be done. The aim of this research was to measure and compare lipid profile on blood serum in hypertensive    and normotensive. Lipid profile was measured by Konelab 20XT clinical chemistry analyzer. Ex     Post Facto used as method and Cross-sectional used as design. A total of 50 blood samples collected from Hypertensive (N1=25) and normotensive (N2=25) from June to August 2014. SPSS 16.0 was used to analyze the data, T-test was used to compare value of LDL cholesterol, HDL cholesterol and total cholesterol while U Mann-Whitney test was used to compare value of triglyceride. The result      of this research showed that the mean value of triglyceride was 146.56 mg/dL in hypertensive and 143.92 mg/dL in normotensive (p=0.11). The mean value of LDL cholesterol was 129.80 mg/dL in hypertensive and 136.72 mg/dL in normotensive (p=0.62). The mean value of HDL cholesterol was  38.80 mg/dL in hypertensive and 45.04 mg/dL in normotensive (p=0.1). The mean value of total cholesterol was 201.04 mg/dL in hypertensive and 221.88 mg/dL in normotensive (p=0.25). In conclusion, there was no different of lipid profile on blood serum in hypertensive and normotensive.  Keywords: hypertension, lipid profile, normotensive


2016 ◽  
Vol 62 (7) ◽  
pp. 930-946 ◽  
Author(s):  
Børge G Nordestgaard ◽  
Anne Langsted ◽  
Samia Mora ◽  
Genovefa Kolovou ◽  
Hannsjörg Baum ◽  
...  

Abstract AIMS To critically evaluate the clinical implications of the use of non-fasting rather than fasting lipid profiles and to provide guidance for the laboratory reporting of abnormal non-fasting or fasting lipid profiles. METHODS AND RESULTS Extensive observational data, in which random non-fasting lipid profiles have been compared with those determined under fasting conditions, indicate that the maximal mean changes at 1–6 h after habitual meals are not clinically significant [+0.3 mmol/L (26 mg/dL) for triglycerides; −0.2 mmol/L (8 mg/dL) for total cholesterol; −0.2 mmol/L (8 mg/dL) for LDL cholesterol; +0.2 mmol/L (8 mg/dL) for calculated remnant cholesterol; −0.2 mmol/L (8 mg/dL) for calculated non-HDL cholesterol]; concentrations of HDL cholesterol, apolipoprotein A1, apolipoprotein B, and lipoprotein(a) are not affected by fasting/non-fasting status. In addition, non-fasting and fasting concentrations vary similarly over time and are comparable in the prediction of cardiovascular disease. To improve patient compliance with lipid testing, we therefore recommend the routine use of non-fasting lipid profiles, whereas fasting sampling may be considered when non-fasting triglycerides are >5 mmol/L (440 mg/dL). For non-fasting samples, laboratory reports should flag abnormal concentrations as triglycerides ≥2 mmol/L (175 mg/dL), total cholesterol ≥5 mmol/L (190 mg/dL), LDL cholesterol ≥3 mmol/L (115 mg/dL), calculated remnant cholesterol ≥0.9 mmol/L (35 mg/dL), calculated non-HDL cholesterol ≥3.9 mmol/L (150 mg/dL), HDL cholesterol ≤1 mmol/L (40 mg/dL), apolipoprotein A1 ≤1.25 g/L (125 mg/dL), apolipoprotein B ≥1.0 g/L (100 mg/dL), and lipoprotein(a) ≥50 mg/dL (80th percentile); for fasting samples, abnormal concentrations correspond to triglycerides ≥1.7 mmol/L (150 mg/dL). Life-threatening concentrations require separate referral for the risk of pancreatitis when triglycerides are >10 mmol/L (880 mg/dL), for homozygous familial hypercholesterolemia when LDL cholesterol is >13 mmol/L (500 mg/dL), for heterozygous familial hypercholesterolemia when LDL cholesterol is >5 mmol/L (190 mg/dL), and for very high cardiovascular risk when lipoprotein(a) >150 mg/dL (99th percentile). CONCLUSIONS We recommend that non-fasting blood samples be routinely used for the assessment of plasma lipid profiles. Laboratory reports should flag abnormal values on the basis of desirable concentration cutpoints. Non-fasting and fasting measurements should be complementary but not mutually exclusive.


2018 ◽  
Vol 56 (7) ◽  
pp. 1161-1168 ◽  
Author(s):  
Magdalena Krintus ◽  
Marek Kozinski ◽  
Federica Braga ◽  
Jacek Kubica ◽  
Grazyna Sypniewska ◽  
...  

Abstract Background: Midregional proadrenomedullin (MR-proADM) is emerging as a prognostic biomarker for detecting the failure of multiple organs. Establishment of scientifically robust reference intervals facilitates interpretation of laboratory test results. The objectives of this study were (i) to establish reliable reference intervals for plasma MR-proADM using a commercially available automated fluoroimmunoassay in apparently healthy individuals, and (ii) to identify biological determinants of MR-proADM concentrations. Methods: A total of 506 questionnaire-identified apparently healthy adults were enrolled in a single-center, cross-sectional study. A final reference group (n=172) was selected after exclusion of obese individuals, those with increased values of laboratory biomarkers indicating asymptomatic myocardial injury or dysfunction, ongoing inflammation, diabetes, dyslipidemia and renal dysfunction and outliers. Results: The 2.5th and 97.5th percentile intervals for MR-proADM values in the reference group (90% confidence interval) were 0.21 (0.19–0.23) and 0.57 (0.55–0.59) nmol/L, respectively. Although older age, higher values of HbA1c, C-reactive protein, B-type natriuretic peptide and body mass index, together with a history of smoking and a decreased estimated glomerular filtration rate were significantly associated with increasing concentrations of MR-proADM in both univariate and multivariate analyses, magnitudes of these relationships were modest and did not substantially influence MR-proADM reference intervals. Sex-dependent difference in MR-proADM reference intervals was not detected [0.19 (0.16–0.22)–0.56 (0.54–0.60) nmol/L in females vs. 0.22 (0.20–0.25)–0.58 (0.57–0.63) nmol/L in males]. Conclusions: Our study successfully established robust reference intervals for MR-proADM concentrations in plasma. Considering the negligible influence of potential biological determinants on plasma MR-proADM, we recommend the adoption of single reference intervals for adult population as a whole.


2014 ◽  
Vol 54 (4) ◽  
pp. 232
Author(s):  
Sigit Prastyanto ◽  
Mei Neni Sitaresmi ◽  
Madarina Julia

Background The prevalence of smoking in adolescentstends to increase. Smoking is associated with a higher risk ofdyslipidemia.Objective To compare the lipid profiles of tobacco-smoking andnon-tobacco-smoking male adolescents.Methods We performed a cross- sectional study in three vocationalhigh schools in Yogyakarta from January to April 2011. Dataon smoking status, duration of smoking and number cigarettesconsumed per day were collected by questionnaires. We randomlyselected 50 male smokers and 50 male non-smokers as the studysubjects.Results Mean differences between smokers and non-smokerswere 44.5 (95%CI 28. 7 to 60.1) mg/dL for triglyceride levels; 8.0(95% CI 1.0 to 14.9) mg/dL for low density lipoprotein (LDL)cholesterol; 11.8 (1.1 to 22.4) mg/dL for total cholesterol and -5.7mg/dL (95% CI -8.8 to -2.6) for high density lipoprotein (HDL)cholesterol. Mean differences (95% CI) between smokers whohad engaged in smoking for > 2 years and those who had smokedfor :S:2 years were -18.1 (95% CI -33 .9 to -2.3) mg/dL for totalcholesterol; -49.4 (95% CI -67.2 to -3 1.5) mg/dL for triglycerides.Mean differences between those who smoked > 5 cigarettes/dayand :s:5 cigarettes per day were -18 .4 (95% CI -32.8 to -4.1) mg/dL for total cholesterol and -29.1 (95% CI -53.6 to -4.6) mg/dLfor triglycerides.Conclusion Smoking more than 5 cigarettes/day significantlyincreases total cholesterol, LDL cholesterol, and triglyceridelevels, as well as reduces HDL cholesterol levels; while smokingmore than 2 years significantly increases total cholesterol andtriglyceride levels


2020 ◽  
Author(s):  
Yoseph Cherinet Megerssa ◽  
Fikru Regassa Gari ◽  
Fanos Tadesse Woldemariyam

Abstract Background: Validation of a test method to determine its fitness for a particular use is critical for confirming that the test can generate accurate and precise data. Although several commercial biochemical test kits exist and validated for humans there is no specific and validated commercial clinical chemistry test kits designed for horse Objective: The aim of this study was to validate commercial clinical chemistry test kits designed for human serum for use in horses to accurately measure total cholesterol urea and total protein in serumMethods: This study used 25 apparently healthy adult horses. Blood samples were collected and pooled serum was prepared. Analytical validation comprises replication and recovery experiments. Total observable error (TEo%), Sigma metrics and quality goal index (QGI) was used to support the analytical validation studies.Result: Intra- and inter-assay variability was 2.05% and 2.08%, 2.26% and 1.89%, 2.4% and 1.63%, for total cholesterol urea and total protein for respectively; recovery was 99.46%, 97.32% and 100.1% for total cholesterol urea and total protein for respectively. TEo% for the specified analytes were within the allowable error indicated ASVCP guidelines. All the three anaytes satisfied the recommended requirement (>3 sigma values). The QGI for urea, as it had below 6σ was 0.95 indicating imprecision and inaccuracy.Conclusion: The results of the research endorse the suitability of the studied commercial clinical chemistry test kits and illustrated the acceptance criteria for serum collected from horse.


Author(s):  
Robert P Ford

The analytical and biological components of variation of total cholesterol, high density lipoprotein (HDL) cholesterol, HDL3 cholesterol, HDL2 cholesterol and apolipoproteins A-I and B in serum were assessed in 12 apparently healthy individuals. All analytes showed marked individuality and therefore conventional population based reference intervals are of little use. The differences required for serial results to have changed significantly for these assays were calculated. The data presented confirm that the assays studied have limited value in screening the general population.


2015 ◽  
Vol 4 (2) ◽  
Author(s):  
Lamuna Fathila ◽  
Zulkarnain Edward ◽  
Rosfita Rasyid

AbstrakInfark Miokard Akut (IMA) merupakan nekrosis otot jantung akibat terganggunya kebutuhan dan suplai oksigen ke jantung secara mendadak. Faktor risikonya adalah perubahan profil lipid yaitu Kolesterol total, Kolesterol LDL. Kolesterol HDL, dan trigliserida yang dikaitkan dengan pembentukan plak aterosklerosis. Manfaat penelitian ini untuk mengetahui gambaran profil lipid pada pasien IMA. Tujuan penelitian ini untuk mengetahui gambaran profil lipid pada pasien IMA di RSUP M. Djamil Padang periode 1 Januari 2011-31 Desember 2012. Penelitian dilakukan dengan metode deskriptif dengan desain cross sectional study di bagian Rekam Medik RSUP M. Djamil Padang. Hasil penelitian menunjukkan umur terbanyak pasien IMA 45-59 tahun, Jenis kelamin terbanyak pasien IMA adalah laki-laki, perbandingannya adalah 2,7 : 1, Pasien IMA yang memiliki kadar kolesterol total tinggi 79 orang (38,92%) dan normal 124 orang (61,08%), Pasien IMA yang memiliki kadar kolesterol LDL tinggi 76 orang (37,44%) dan normal 127 orang (62,56%), Pasien IMA yang memiliki kadar kolesterol HDL rendah 145 orang (71,43%) dan normal 58 orang (28,57%), dan Pasien IMA yang memiliki kadar trigliserida tinggi 44 orang (21,67%) dan normal 159 orang (78,33%).Kata kunci: infark miokard akut, kolesterol total, kolesterol LDL, Kolesterol HDL, trigliserida AbstractAcute Myocardial Infarction (AMI) is a muscle necrosis of the heart through disruption of demand and supply of oxygen to the heart suddenly. Risk factors of AMI is a change of lipid profile (Total Cholesterol, LDL Cholesterol, HDL Cholesterol, and Triglycerides) associated with the formation of atherosclerotic plaque. The benefit of this research is to reveal the lipid profile in patients with AMI. The objective of this study was to determine the description of lipid profile in patients with AMI at RSUP M. Djamil Padang period January 1st, 2011-December 31th, 2012. The study was conducted with descriptive methods to the design of cross sectional study at the Medical Records Department of RSUP M. Djamil Padang. The results of this study indicate that the most age of the patients of AMI 45-59 years old, the most gender of AMI are male and the ratio 2.7 : 1, AMI patients with high total cholesterol levels 79 people (38.92%) and normal 124 people (61.08%), AMI patients with high LDL cholesterol levels 76 people (37,44%) normal 127 people (62.56%), AMI patients with low HDL cholesterol levels 145 people (71.43%) and normal 58 people (28.57%), and AMI Patients with high triglyceride levels 44 people (21.67%) and normal 59 people (78.33%).Keywords: acute myocardial infarction, total cholesterol, LDL cholesterol, HDL cholesterol, triglyceride


2021 ◽  
Author(s):  
Goma Kathayat ◽  
Daya Ram Pokharel ◽  
Naval Kishor Yadav ◽  
Manoj Sigdel

Abstract BackgroundReference intervals (RI) for clinical chemistry test parameters are specific to the method of measurement and population under service. However, there have been no locally available dry chemistry based RIs for the Nepalese population. Thus, the present study aimed to establish dry chemistry based RIs for sodium, potassium, urea, and creatinine specific to adult populations of Kaski districts, Nepal.MethodsThis was a cross-sectional study conducted at the Manipal Teaching Hospital, Pokhara, Kaski, Nepal on 360 healthy adult participants aged 18-65 years. The test parameters under study were analyzed using a fully automated OCD Vitros 350 dry chemistry analyzer following the protocols provided by the reagent kit manufacturer. The RIs were estimated using reference limits at 2.5th and 97.5th percentiles. The normal distribution of the data was tested by Kolmogorov–Smirnov, and Shapiro–Wilk tests. The differences between males and females RIs were compared by the Mann-Whitney test while age-specific RI for each gender was compared by One-Way-ANOVA and Dunnett's Multiple Comparisons Tests. All the data were managed and analyzed using MS Excel and SPSS version 20.ResultsThe RIs of urea, creatinine, sodium and potassium specific to the adult population of Kaski district, Nepal are as follows: urea: 11.89-37.81 mg/dL (males: 13.09-38.40; females: 11.80-36.20); creatinine: 0.50-1.20 mg/dL (males: 0.55-1.20; females: 0.40-0.90); sodium 135-146 mEq/L (males: 135-146; females: 135-146) and potassium 3.60-5.10 mEq/L (males: 3.54-5.0; females: 3.60-5.10). These RIs were found to be different from currently used RIs provided by the reagent manufacturer. RIs of all the test parameters were significantly influenced by the age of the study participants. However, only the RIs of urea, creatinine, and potassium were significantly influenced by gender.Conclusions The present study has for the first time established dry chemistry based RI for selected renal function test parameters specific to the adult population of Kaski district, Nepal. This result will aid the clinician in minimizing the errors in result interpretation and making a precise clinical decision.


2014 ◽  
Vol 30 (2) ◽  
pp. 96-103
Author(s):  
Md Rezaul Karim Khan ◽  
AKM Anwarullah ◽  
Md Shafiqus Saleheen ◽  
SK Mahbub Alam ◽  
Md Rafiqul Islam ◽  
...  

Objective: To find out the relationship of different lipids, lipoproteins and ischemic stroke patients in Bangladesh. Methodology: This case control study was conducted among the patients having ischemic stroke who were admitted in Department of Neurology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh during the period from July, 1997 to June, 1999 and age, sex matched apparently healthy volunteers. Sixty ischemic stroke patients confirmed by CT scan of brain and sixty age and sex matched apparently healthy volunteers were enrolled as controls. 12 hours fasting lipid profile (Total cholesterol, LDL-cholesterol, HDLcholesterol and Triglyceride) was done for both ischemic stroke patients and healthy volunteers for comparison. The students (unpaired) t test was used to compare group means for lipids and lipoproteins. Chi square test, odds ratio with confidence interval were done to evaluate differences between the groups for other variables. P<0.05 was considered as minimum level of significance. Result: The mean age (±SD) of the patients and controls were 58.45±10.12 and 59.40±10.41 years respectively and 44 (73.3%) were male and 16 (26.7%) were female and male- female ratio was 2.75:1 in both cases and controls. Total cholesterol (Means) was 201.62±5.52 mg/dl and 169.13±3.49 mg/dl in cases and controls respectively (P<0.001). HDL cholesterol (Means) was 38.36±0.81 mg/dl and 44.03±0.84 mg/dl in cases and controls respectively (P<0.001). LDL cholesterol (Mean±SE) in ischemic stroke patients and controls were 125.45±4.63 mg/dl and 96.40±3.23 mg/dl respectively (P<0.001). Triglyceride (Mean±SE) in cases and controls were 188.50±9.35 mg/dl and 142.85±4.72 mg/dl respectively (P<0.001). Conclusion: This case-control study showed significant differences of serum lipids and lipoproteins (Total cholesterol, HDL cholesterol, LDL cholesterol and triglyceride) in ischemic stroke patients than the controls in our community. Bangladesh Journal of Neuroscience 2014; Vol. 30 (2): 96-103


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