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. Author manuscript; available in PMC: 2019 Jun 1.
Published in final edited form as: Pharmacoepidemiol Drug Saf. 2018 Jan 30;27(6):570–580. doi: 10.1002/pds.4389

Table 3.

Propensity score matched models estimating the association between statin use vs. non-use and 10-year change in CMR parameters of left ventricular structure/function

Estimate 95% CI* p-value*
Δ LVMI (percent predicted by height, weight, and gender)
−2.35 (−4.24, −0.47) 0.01
Δ LVM unindexed (grams)
−2.03 (−4.67, 0.61) 0.13
Δ LVM-BSA indexed (grams/BSA)
−1.58 (−2.96, −0.19) 0.03
Δ MVR (no units)
−0.03 (−0.07, −0.00) 0.02
Δ EDV (mL)
−1.35 (−4.32, 1.63) 0.38
Δ LVEF (percent)
0.57 (−0.45, 1.60) 0.27

The PSM models used nearest-neighbor matching within 0.025 caliper with replacement to estimate the average treatment effect in the treated. Propensity scores for statin initiation were derived from a logistic regression using the following at baseline: age, gender, race, smoking status (former, never, current), BMI, diabetes status (normal, impaired fasting glucose, untreated diabetes, treated diabetes), waist circumference, antihypertensive agent use (yes/no for diuretics, calcium channel blockers, beta-blockers, ace-inhibitors, and angiotensin type 2 antagonists), systolic and diastolic blood pressure, HDL cholesterol, triglycerides, total cholesterol, intentional exercise defined as moderate and vigorous physical activity total (met-min per week), health insurance status (yes/no), and the Agatston CAC Score as the ln(score + 1).

*

Normal-based confidence intervals were bootstrapped with 1000 repetitions.