scholarly journals Serum Total Cholesterol Measurement

2020 ◽  
Author(s):  
Keyword(s):  
Total Cholesterol ◽  
Serum Total Cholesterol ◽  
Cholesterol Measurement

HRA Model for Hypercholesterolemia Based on a Longitudinal Health Database

1998 ◽  
Vol 37 (02) ◽  
pp. 130-133
Author(s):  
T. Kishimoto ◽  
Y. Iida ◽  
K. Yoshida ◽  
M. Miyakawa ◽  
H. Sugimori ◽  
...  
Keyword(s):  
Total Cholesterol ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Model Analysis ◽  
Serum Total Cholesterol ◽  
Hazards Model ◽  
The Mean ◽  
Health Database ◽  
Observation Period

AbstractTo evaluate the risk factors for hypercholesterolemia, we examined 4,371 subjects (3,207 males and 1,164 females) who received medical checkups more than twice at an AMHTS in Tokyo during the period from 1976 through 1991; and whose serum total cholesterol was under 250 mg/dl. The mean follow-up duration was 6.6 years. A self-registering questionnaire was administered at the time of the health checkup. The endpoint of this study was the onset of hypercholesterolemia when the level of serum total cholesterol was 250 mg/dl and over. We compared two prognosis groups (normal and hypercholesterol) in terms of age, examination findings and lifestyle. After assessing each variable, we employed Cox's proportional hazards model analysis to determine the factors related to the occurrence of hypercholesterolemia. According to proportional hazards model analysis, total cholesterol, triglyceride and smoking at the beginning, and hypertension during the observation period were selected in males; and total cholesterol at the beginning and age were selected in females to determine the factors related to the occurrence of hypercholesterolemia.

scholarly journals Rapid ultramicro estimation of serum total cholesterol

1960 ◽  
Vol 1 (4) ◽  
pp. 349-351
Author(s):  
Ronald L. Searcy ◽  
Lois M. Bergquist ◽  
Ralph C. Jung
Keyword(s):  
Total Cholesterol ◽  
Serum Total Cholesterol

scholarly journals Simple cardiovascular risk stratification using anthropometric measures instead of serum cholesterol. The MORGAM Prospective Cohort Project

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A Kristensen ◽  
V Rosberg ◽  
J Vishram-Nielsen ◽  
M Pareek ◽  
A Linneberg ◽  
...  
Keyword(s):  
Cardiovascular Risk ◽  
Risk Stratification ◽  
Total Cholesterol ◽  
Serum Cholesterol ◽  
Cardiovascular Events ◽  
Smoking Status ◽  
Predictive Ability ◽  
Serum Total Cholesterol ◽  
Anthropometric Measures ◽  
Blood Pressures

Abstract Background Body composition predicts cardiovascular outcomes, but it is uncertain whether anthropometric measures can replace the more expensive serum total cholesterol for cardiovascular risk stratification in low resource settings. Purpose The purpose of the study was to compare the additive prognostic ability of serum total cholesterol with that of body mass index (BMI), waist/hip ratio (WHR), and estimated fat mass (EFM, calculated using a validated prediction equation), individually and combined. Methods We used data from the MORGAM (MONICA, Risk, Genetics, Archiving, and Monograph) Prospective Cohort Project, an international pooling of cardiovascular cohorts, to determine the relationship between anthropometric measures, serum cholesterol, and cardiovascular events, using multivariable Cox proportional-hazards regression analysis. We further investigated the ability of these measures to enhance prognostication beyond a simpler prediction model, consisting of age, sex, smoking status, systolic blood pressures, and country, using comparison of area under the receiver operating characteristics curve (AUCROC) derived from binary logistic regression models. The primary endpoint was major adverse cardiovascular events (MACE), defined as a composite of death from coronary heart disease, myocardial infarction, or stroke. Results The study population consisted of 52,188 apparently healthy subjects (56.3% men) aged 47±12 years ranging from 20 to 84, derived from 37 European cohorts, with baseline between 1982–2002 all followed for 10 years during which MACE occurred in 2465 (4.7%) subjects. All anthropometric measures (BMI: hazard ratio (HR) 1.04 [95% confidence interval (CI): 1.03–1.05] per kg/m2; WHR: HR 7.5 [4.0–14.0] per unit; EFM: HR 1.02 [1.01–1.02] per kg) as well as serum total cholesterol (HR 1.20 [1.16–1.24] per mmol/l) were significantly associated with MACE (P<0.001 for all), independently of age, sex, smoking status, systolic blood pressures, and country. The addition of serum cholesterol significantly improved the predictive ability of the simple model (AUCROC 0.818 vs. 0.814, P<0.001), as did the combination of WHR, BMI, and EFM (AUCROC 0.817 vs. 0.814, P=0.004). When assessed individually, BMI (AUCROC 0.816 vs. 0.814, P=0.004) and WHR (AUCROC 0.815 vs. 0.814, P=0.02) improved model performance, while EFM narrowly missed significance (AUCROC 0.815 vs. 0.814, P=0.06). There was no significant difference in the predictive ability of a model including serum cholesterol versus that including all three anthropometric measures (AUCROC 0.818 vs. 0.817, P=0.13). The figure shows the pertinent areas under the ROC curve in predicting MACE. Conclusion In this large population-based cohort study, the addition of a combination of anthropometric measures, i.e. BMI, WHR, and EFM, raised the predictive ability of a simple prognostic model comparable to that obtained by the addition of serum total cholesterol. Figure 1 Funding Acknowledgement Type of funding source: None

scholarly journals Relation of Serum Total Cholesterol and Other Risk Factors to Risk of Coronary Events in Middle-Aged and Elderly Japanese Men With Hypercholesterolemia

2004 ◽  
Vol 68 (5) ◽  
pp. 405-409 ◽  
Author(s):  
Mikio Iwashita ◽  
Yasuyuki Matsushita ◽  
Jun Sasaki ◽  
Kikuo Arakawa ◽  
Suminori Kono ◽  
...  
Keyword(s):  
Risk Factors ◽  
Total Cholesterol ◽  
Serum Total Cholesterol ◽  
Middle Aged ◽  
Japanese Men ◽  
Coronary Events ◽  
Elderly Japanese

IS THE SERUM TOTAL CHOLESTEROL AN ANACHRONISM?

The Lancet ◽  
1979 ◽  
Vol 314 (8149) ◽  
pp. 950-951 ◽  
Author(s):  
WilliamB. Kannel ◽  
WilliamP. Castelli
Keyword(s):  
Total Cholesterol ◽  
Serum Total Cholesterol
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