1 / 8

Predictor of CV Events and Mortality in Postmenopausal Women: Leukocyte Count

Predictor of CV Events and Mortality in Postmenopausal Women: Leukocyte Count. Background and objective. Background: Increasing evidence supports a role for inflammation in the atherosclerotic process

Jimmy
Télécharger la présentation

Predictor of CV Events and Mortality in Postmenopausal Women: Leukocyte Count

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Predictor of CV Events and Mortality in Postmenopausal Women: Leukocyte Count

  2. Background and objective Background: Increasing evidence supports a role for inflammation in the atherosclerotic process Objective: Describe relationship between baseline leukocyte (WBC) count, future CVD events, and mortality in postmenopausal women Source: Women’s Health Initiative Observational Study Margolis KL et al. Arch Intern Med. 2005;165:500-8.

  3. WHI-OS: Women’s Health Initiative Observational Study • Prospective cohort study in 40 US clinical centers • 72,242 postmenopausal women age 50–79 yrs, free of CVD and cancer at baseline • Main outcome measures: fatal CHD, nonfatal MI, stroke, total mortality Margolis KL et al. Arch Intern Med. 2005;165:500-8.

  4. WHI-OS: Baseline characteristics PatientsCharacteristic (N = 72,242) Age (yr) 63.1 White (%) 83.5 Diabetes (%) 4.5 Hypertension (%) 34.6 Elevated cholesterol (%) 12.8 Current smoker (%) 6.1 BMI (kg/m2) 27.1 Margolis KL et al. Arch Intern Med. 2005;165:500-8.

  5. WHI-OS: CHD risk according to WBC count quartile P = 0.02 2.5 2.32 2.0 1.5 OR 0.99 1.00 1.0 0.83 0.5 0 Q12.6–4.9 Q25.0–5.9 Q36.0–7.2 Q47.3–13.35 Quartile of WBC count ( 103 cells/mm3) Ptrend = 0.01Adjusted for all risk factors, including CRP Margolis KL et al. Arch Intern Med. 2005;165:500-8.

  6. WHI-OS: CHD risk according to CRP quartile 2.5 P = 0.07 1.95 2.0 1.5 OR 1.16 1.00 0.94 1.0 0.5 0 Q10.02–0.12 Q20.13–0.27 Q30.28–0.59 Q40.60–4.26 Quartile of CRP level (mg/dL) Ptrend = 0.02Adjusted for all risk factors, including WBC count Margolis KL et al. Arch Intern Med. 2005;165:500-8.

  7. WHI-OS: CHD risk in highest WBC count quartile, according to CRP level 6.80* 7.0 6.0 5.0 4.0 OR 3.10 3.0 2.83 2.70 2.0 1.0 0 Q10.02–0.12 Q20.13–0.27 Q30.28–0.59 Q40.60–4.26 Quartile of CRP level (mg/dL) *P < 0.001Bivariate logistic regression model based on joint WBC count  CRP relationship, adjusted for TC/HDL-C ratio Margolis KL et al. Arch Intern Med. 2005;165:500-8.

  8. Clinical implications • WBC count >6.7  103 cells/mm3 may identify women at high CVD risk who are not currently identified by traditional CVD risk factors • WBC count offers stable, well-standardized, widely available, and inexpensive measure of systemic inflammation • Findings add to evidence in men that suggests a similar link; suggest WBC count is predictive independent of CRP Margolis KL et al. Arch Intern Med. 2005;165:500-8.

More Related