scholarly journals Standardizing the Comparison of Systolic Blood Pressure vs. Pulse Pressure for Predicting Coronary Heart Disease

2006 ◽  
Vol 8 (6) ◽  
pp. 411-413 ◽  
Author(s):  
Karina W. Davidson ◽  
Donald C. Haas ◽  
Daichi Shimbo ◽  
Thomas G. Pickering ◽  
Bruce S. Jonas
2011 ◽  
Vol 2011 ◽  
pp. 1-9
Author(s):  
Qing Qiao ◽  
Tiina Laatikainen ◽  
Weiguo Gao ◽  
Janne Pitkäniemi ◽  
Erkki Vartiainen

One laboratory-based and two non-laboratory-based models with and without blood pressure measures are developed based on data of 14815 men and 16617 women aged 25–64 years. During the followup 1134 men and 566 women developed coronary heart disease (CHD). The area under the receiver operating characteristic curve (95% CI) for prediction of CHD incidence was 0.823 (0.807–0.839) for the laboratory-based model, 0.808 (0.791–0.824) and 0.803 (0.787–0.820) for the non-laboratory-based models with and without systolic blood pressure in men (P<0.01for overall comparison), and 0.878 (0.856–0.901), 0.871 (0.848–0.894), and 0.864 (0.840–0.887), respectively, in women (P<0.01). The predicted rates matched well with the observed ones (P>0.10). Compared with the model without blood pressure, the non-laboratory-based model with blood pressure tended to reclassify individuals into the higher risk categories for both event and nonevent groups in both genders. The study concludes the predictive property of the non-laboratory-based models are good.


2012 ◽  
Vol 59 (13) ◽  
pp. E1627
Author(s):  
Per Torger Skretteberg ◽  
Irene Grundvold ◽  
Sverre Kjeldsen ◽  
Knut Gjesdal ◽  
Knut Liest&oslash;l ◽  
...  

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
S Eilat-Adar ◽  
U Goldbourt

Abstract Objective To determine whether self-reported religiosity is associated with decreased coronary mortality risk in middle-aged men when rates are adjusted for known confounders. Design The Israeli Ischemic Heart Disease (IIHD) Project (n=10,232) was chosen by stratified sampling of civil servants and municipal male employees, men aged 40–65 in 1963. Subjects were seen upon enrollment (1963) and at two follow-up visits (1965 and 1968). Extent of religiosity according to belief and practice collected in 1965 on a scale from 1 to 5. Religiosity was defined as follow: (1) The most-strict observance of religious rules “Haredim”. (2) “Religious” (3) “Traditional” (4) “Secular” (5) The part of the latter who declared themselves to be “nonbelievers” were categorized as “agnostic”. Main outcome measure Coronary heart disease (CHD) death, determined from death certificates in 23 years of follow-up Results Among 9245 participants, 1098 died from CHD during 23 years follow up. Ever smoking, Body mass index (BMI) and socioeconomic status were significantly lower while age and diabetes were higher according to increasing religiosity. Religiosity was inversely related to CHD mortality. Demographic, anthropometric characteristics according to religion, and odds ratio (OR), 95% confidence interval (95% CI), for CHD mortality, (using agnostic as a reference group) are presented in table 1. Characteristics according to religion Religiosity Haredim (n=2103) Religious (n=1528) Traditional (n=1782) Secular (n=2085) Agnostic (n=1747) P for trend Age years (SD) 50.2 (6.9) 48.8 (6.6) 48.4 (6.7) 48.8 (6.6) 45.9 (6.8) <0.001 Ever smoking% 58.7 67.6 70.7 71.9 72.6 0.001 Systolic blood pressure (mmHg) 136 (21) 135 (20) 135 (21) 134 (20) 135 (20) 0.115 Diabetes (%) 9.8 11.1 8.3 8.8 6.5 <0.001 Socioeconomic status 2.2 (1.3) 2.3 (1.1) 2.7 (1.1) 2.7 (1.2) 3.1 (1.4) <0.001 BMI kg/m2 (SD) 22.5 (3.6) 25.9 (3.5) 25.9 (3.2) 25.6 (3.2) 25.4 (2.9) 0.028 Cholesterol (mg%) 201 (38) 207 (41) 208 (39) 214 (40) 218 (40) 0.001 Number of death (% category) 187 (8.9) 161 (10.5) 185 (10.4) 228 (10.9) 225 (12.9) <0.001 OR (95% CI)* 0.67 (0.53–0.85) 0.85 (0.67–1.08) 0.84 (0.67–1.05) 0.87 (0.71–1.08) 1 *Adjusted for age, cigarette smoking, systolic blood pressure, diabetes, socioeconomic status, body mass index and cholesterol. Conclusion Religiosity was associated with lower CHD death in employed middle aged Israeli men followed up prospectively for 23 years.


2010 ◽  
Vol 19 (4) ◽  
pp. 713-718 ◽  
Author(s):  
Dongling Sun ◽  
Jie Cao ◽  
Xiaoqing Liu ◽  
Ling Yu ◽  
Chonghua Yao ◽  
...  

2020 ◽  
Author(s):  
Ming Zhang ◽  
Demin Liu ◽  
Qian Wang ◽  
Xue Geng ◽  
Qian Hou ◽  
...  

Abstract Background: Although the early use of a risk stratification score in gastrointestinal bleeding(GIB) is recommended, there has been no risk score for GIB in patients admitted to cardiology so far.Objective:To describe the risk factors of GIB and develop a new risk score model in patients admitted to cardiology. Methods: A total of 633 inpatients with GIB from January 2014 to December 2018 were recruited, 4,231 inpatients with non-GIB recruited as the control group. Multivariate logistic regression was used to describe the risk factors of GIB,A new risk score model was developed in the derivation cohort. Accuracy to predict GIB was assessed by the area under the receiver operating characteristic (AUROC) curve in the validation cohort.Results: Male, coronary heart disease, hypertension, stroke, systolic blood pressure, hematocrit, plasma albumin and alanine aminotransferase(ALT) were associated with GIB . The model had a high predictive accuracy (AUROC 0.816; 95%CI, 0.792-0.839), which was supported by the validation cohort (AUROC 0.841; 95% CI, 0.807~0.874). Besides,the prediction of the model better than HAS-BLED score(AUROC 0.557; 95%CI, 0.513~0.602) and CRUSADE score(AUROC 0.791; 95%CI, 0.757~0.825), respectively. Among the inpatients with a score 0-3, 4-7, and ≥8 points, the incidence of GIB, the proportion of inpatients requiring suspended red blood cells transfusion, length of stay and in-hospital mortality all increased gradually(P< 0.001). Conclusions: Male, coronary heart disease, hypertension, stroke, systolic blood pressure, hematocrit, plasma albumin and ALT are associated with GIB. The new risk score model is an accurate risk score that predicts GIB in patients admitted to cardiology.


1970 ◽  
Vol 39 (2) ◽  
pp. 16-21
Author(s):  
S Jabeen ◽  
M Haque

Key words: Risk factors; Coronary Heart Disease (CHD); Systolic Blood Pressure (SBP); Diastolic Blood PRessure (DBP); Body Mass Index (BMI); Waist Hip Ratio (WHR)DOI: 10.3329/bmj.v39i2.7031Bangladesh Medical Journal 2010, 39(2) pp.16-21


Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
R Ahmed ◽  
Martin O'Flaherty ◽  
N Hawkins ◽  
J Lucy ◽  
Simon Capewell

Background: Between 2000 and 2007, coronary heart disease (CHD) mortality rates in England plummeted by one third. An important part of this substantial CHD mortality decline was achieved through reductions in major cardiovascular risk factors (primary prevention). However, the relative contributions from medications and from population-wide changes remains unclear, particularly the effects on health inequalities. Methods: Using a previously validated policy model, the fall in CHD mortality in England was analysed. The contributions from risk factor declines in asymptomatic individuals through medications and through population-wide changes were quantified. Data were stratified using the Index of Multiple Deprivation (IMD). Model outputs were quantified as deaths prevented or postponed (DPPs). Results: Between 2000 and 2007, approximately 21,900 fewer CHD deaths were attributable to risk factor declines in systolic blood pressure and cholesterol in the English population. Some 7,100 of these 21,900 fewer deaths (DPPs) were attributed to medications (32%) and approximately 14,800 DPPs were attributed to secular changes in asymptomatic individuals (68%). Substantial declines in systolic blood pressure were responsible for approximately 14,300 fewer deaths. This comprised approximately 12,500 DPPs attributable to population-wide changes and some 1,800 DPPs attributable to hypertension medications. The hypertension medications resulted in approximately 350 fewer deaths in the most affluent quintile compared with 270 DPP in the most deprived. In contrast, the population-wide (secular) falls in blood pressure resulted in approximately 2400 fewer deaths in the most deprived quintile compared with only 1900 DPPs in the most affluent. Cholesterol falls resulted in approximately 7,700 fewer deaths. This comprised some 5,300 fewer deaths attributable to statin medications and approximately 2,400 fewer deaths attributable to population-wide changes (mostly diet). Statin medications prevented more deaths in the most affluent quintile (1050 DPPs) compared with the most deprived (770 DPPs). Population-wide changes in cholesterol prevented substantially more deaths in the most deprived quintile (820 DPPs) compared with the most affluent (260 DPPs). Conclusions: Population-based declines in blood pressure and cholesterol resulted in much greater reductions in CHD deaths than did primary prevention medications. Mortality falls were greatest in the most deprived quintiles, mainly reflecting their bigger initial burden of disease. Future CHD prevention policies should prioritise healthier diets ahead of medications.


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