Skip to main content
BMC Geriatrics logoLink to BMC Geriatrics
. 2020 Aug 17;20:292. doi: 10.1186/s12877-020-01682-w

Assessing the effectiveness of statin therapy for alleviating cerebral small vessel disease progression in people ≥75 years of age

Yuqi Guo 1,2, Yunpeng Li 3, Xukui Liu 3, Yi Cui 4, Yingxin Zhao 1,5, Shangwen Sun 1,5, Qing Jia 1,5, Qiang Chai 1,5, Gary Gong 6, Hua Zhang 1,5,, Zhendong Liu 1,5,
PMCID: PMC7430010  PMID: 32807086

Abstract

Background

Statins have been recommended by several guidelines as the primary prevention medication for cardiovascular diseases. However, the benefits of statin therapy for cerebral small vessel disease (CSVD), particularly in adults ≥75 years of age, have not been fully evaluated.

Methods

We analyzed the data from a prospective population-based cohort study and a randomized, double-blind, placebo-controlled clinical trial to determine whether statin therapy might aid in slowing the progression of CSVD in adults ≥75 years of age. For the cohort study, 827 participants were considered eligible and were included in the baseline analysis. Subsequently, 781 participants were included in follow-up analysis. For the clinical trial, 227 participants were considered eligible and were used in the baseline and follow-up analyses.

Results

The white matter hyperintensities (WMH) volume, the WMH-to-intracranial volume (ICV) ratio, the prevalence of a Fazekas scale score ≥ 2, lacunes, enlarged perivascular spaces (EPVS), and microbleeds were significantly lower in the statin group than the non-statin group at baseline in the cohort study (all P < 0.05). During the follow-up period, in both the cohort and clinical trial studies, the WMH volume and WMH-to-ICV ratio were significantly lower in the statin/rosuvastatin group than the non-statin/placebo group (all P < 0.001). Statin therapy was associated with lower risk of WMH, lacunes, and EPVS progression than the non-statin therapy group after adjustment for confounders (all P < 0.05). There was no statistically significant difference in the risk of microbleeds between the statin and non-statin therapy groups (all, P > 0.05).

Conclusions

Our findings indicated that statin therapy alleviated the progression of WMH, lacunes, and EPVS without elevating the risk of microbleeds. On the basis of the observed results, we concluded that statin therapy is an efficient and safe intervention for CSVD in adults ≥75 years of age.

Trial registration

Chictr.org.cn: ChiCTR-IOR-17013557, date of trial retrospective registration November 27, 2017 and ChiCTR-EOC-017013598, date of trial retrospective registration November 29, 2017.

Keywords: Statins, Neuroprotection, Cerebral small vessel disease, Aging

Background

Cerebral small vessel disease (CSVD) is an age-related clinical cognitive syndrome encompassing a group of pathological processes with multifarious etiologies that affect the small vessels in the brain [14]. Some prominent features associated with CSVD include white matter hyperintensities (WMH), lacunes, enlarged perivascular space (EPVS), and microbleeds observed through magnetic resonance imaging (MRI) [5, 6]. CSVD is responsible for 25–30% of all cerebral strokes and as much as 45% of all dementia [1, 7]; it is also frequently associated with mood disorders and gait problems [1, 79]. CSVD poses a high burden on individuals and society worldwide. Therefore, measures to prevent and treat CSVD are particularly and increasingly important.

CSVD is strongly associated with cardiovascular risk factors including hypertension, hyperlipidemia, and aging [1, 911]. However, the results of the Rotterdam Scan Study have demonstrated that blood pressure is not associated with WMH progression and incident lacunar infarcts in the oldest people [12]. Moreover, the interaction between blood pressure and age in relation to WMH progression and incident lacunar infarcts is not statistically significant [12]. Blood pressure in the progression of CSVD may differ with age, and antihypertensive therapy may not ameliorate the progression of CSVD in the oldest people. Therefore, does lipid-lowering treatment slow the progression of CSVD in the oldest people?

Statins competitively inhibit hydroxy methyl glutaryl coenzyme A reductase and hence have been recommended by several guidelines as the medication for primary prevention of cardiovascular diseases [1315]. The association between statin therapy and CSVD is well documented in middle aged (40 to 65 years of age) and older (66 to 75 years of age) adults [16]. A recent meta-analysis [17] has indicated that statins produce significant decreases in major vascular events irrespective of age. Other studies [79, 18] have demonstrated that statins are independent beneficial factors alleviating the progression of CSVD. However, there is less direct evidence of the benefits of statin therapy for slowing the progression of CSVD among people older than 75 years because the adverse effect risks of statins, such as frailty, liver injury, and myalgias are more serious in adults ≥75 than < 75 years of age [17].

To elucidate whether statin therapy is beneficial in slowing the progression of CSVD in adults ≥75 years of age, we extracted and analyzed the data of participants ≥75 years of age in our two previous studies. One study was a prospective population-based cohort study with participants ≥15 years of age [11], and the other was a randomized, double-blind, placebo-controlled clinical trial with participants ≥60 years of age [7, 9]. Our main goal was to investigate the effect of statins on the progression of CSVD in adults 75 years and older.

Methods

Study population

The participants in this study were from a prospective cohort study (study ID: ChiCTR-EOC-17013598) [11] and a randomized clinical trial (study ID: ChiCTR-IOR-17013557) [7, 9], which have been described in detail elsewhere. For the cohort study, briefly, 21,000 participants ≥15 years of age who had no plans to leave the area within 5 years and had not been included in other studies were enrolled from community dwellings through multistage and cluster sampling in the Shandong area, China, between 2007 and 2009. Among them, 827 participants ≥75-years-old with statins as the primary prevention method were eligible and included in this study. The exclusion criteria were as follows: dementia, Alzheimer’s disease, Parkinson’s disease, schizophrenia seizures, history of stroke, congestive heart failure, acute myocardial infarction in the previous 6 months, liver disease, renal failure and dialysis, malignancy, drug or alcohol abuse, contraindications to MRI, and unwillingness to provide informed consent. For the randomized clinical trial, participants were hypertensive patients ≥60 years of age who were recruited between April 2008 and November 2010 from the Shandong area, China. Hypertension was defined as a systolic/diastolic blood pressure ≥ 140/90 mmHg, a previous diagnosis of hypertension, or current use of antihypertensive medication. A total of 251 patients ≥75 years of age were included in this study according to the following exclusion criteria: secondary hypertension, definite hypersensitivity, or contraindication to the study medications, and the exclusion criteria for the cohort study.

The randomized clinical trial in this study was conducted in compliance with the Declaration of Helsinki and adhered to the Good Clinical practice guidelines. Ethical approval for the two studies including this study were obtained from the Research Ethics Committee of the Institute of Basic Medicine, Shandong Academy of Medical Sciences. Each participant provided written informed consent.

Study design and follow-up

The design and follow-up of this study have been described elsewhere. The cohort study was a prospective, longitudinal, and observational study [11]. Participants were followed up every 6 months after the baseline clinical visit. The demographic and clinical characteristics of each participant were collected at every clinical visit. The assessment of statin use was performed with a questionnaire including details such as the name of statine, dose, compliance (months per year), and adverse effects. For participants with hypertension or diabetes, blood pressure or glucose-lowering medications were recommended by public health physicians if participants were willing to receive treatment. According to the observational design, there was no unified medication schedule for participants in this study. CSVD was determined with brain MRI at the baseline (2008–2009), first MRI follow-up (2010–2012), and second MRI follow-up (2013–2015) visits. In this study, participants were dichotomized to a non-statin group (< 6 months/year) and statin group (≥6 months/year) on the basis of the assessment of statin use, because few participants (3.2%) used statins for 0–6 months/year and delayed the clinical benefits of statins [19].

For the clinical trial [7, 9], patients were separately randomly assigned in a 1:1:1:1 ratio into blood pressure lowering intervention and lipid-modulating intervention arms after a 2-week washout period in the original study. The determination of sample size and the details of randomization methods in the original study have been described elsewhere [7, 9]. Among all patients, 124 patients ≥75 years of age were assigned to a placebo group, and 127 were assigned to a rosuvastatin (10 mg given once daily) group. Clinical visits in the washout period were conducted weekly. Baseline visits occurred at the end of the washout period, and the follow-up visits were performed at trial months 1, 3, and 6, and thereafter at 6 month intervals. Brain MRI scans were conducted at the baseline (2008–2010), the first brain MRI follow-up assessment (2012–2013), and the second brain MRI follow-up assessment (2015–2017).

Brain MRI scan

CSVD was determined in accordance with STandards for ReportIng Vascular changes on nEuroimaging (STRIVE) [5, 6] with a 3.0-T Siemens Allegra scanner (Erlangen, Germany) or 3.0-T GE Signa Horizon scanner (General Electric Medical Systems, Milwaukee, WI). The same brain MRI protocols were applied for two studies and every MRI assessment visit. The sequences of MRI scans were as follows: T1-weighted 3D magnetization-prepared rapid gradient echo [repetition time (TR)/echo time (TE) = 1900/3 ms and slice thickness = 1 mm], T2-weighted 3D fast spin-echo (TR/TE = 3000/98 ms and slice thickness = 3 mm), T2*-weighted gradient-echo type echoplanar (TR/RE = 600/16 ms and slice thickness = 3 mm), and fluid-attenuated inversion recovery (FLAIR; TR/TE = 5000/355 ms and slice thickness = 2 mm) sequences [7, 9, 11]. The total WMH volume was computed automatically on FLAIR images from periventricular and subcortical segmentation and corrected by total intracranial volume (ICV). The Fazekas scale of WMH was also assessed on FLAIR images (scores of 0–3 was given for no lesions, punctuate, early confluent lesions, or confluent lesions, respectively) [20]. Lacunes were defined as cavities with diameters of 3–15 mm with cerebrospinal-fluid-like signal intensity on a combination of T1-weighted, T2-weighted, and FLAIR images. EPVS was defined as visible fluid-filled spaces adjacent to cerebral vessels on T2-weighted and FLAIR images and was discriminated from small lacunes of presumed vascular origin [5, 21]. Microbleeds were defined as oval or round, hypointense, and homogeneous foci in the brain parenchyma with diameters 2–10 mm on T2*-weighted images. Calcifications, sulcal vessels, and signal averaging from bone were systematically excluded.

The spatial transformation matrices were obtained after the MRIs were normalized with Montreal Neurological Institute templates [22]. During the normalization, the differences between the MRIs of each participant were corrected with the International Consortium for Brain Mapping template for East Asian Brains. A Gaussian filter was used to smooth the images and to minimize the variability in local anatomy among subjects. All scans were visually inspected for mis-registration errors. The scans were excluded if excessive motion artifacts were found.

Each available scan was independently rated by experienced neuroradiologists who were blinded to all clinical data. Consensus meetings were held if there were disagreements among raters. Limited inter- and intra-rater reliability testing in random samples of 120 patients showed good reliability with the weighted Cohen’s kappa values of 0.86 and 0.86 for the presence of Fazekas scale lesions, 0.81 and 0.80 for lacunes, 0.76 and 0.77 for EPVS, and 0.81 and 0.81 for microbleeds.

Outcomes

In this study, the primary outcomes included the progression of WMH, lacunes, EPVS, and microbleeds. The progression of WMH was defined as an increase in the WMH volume and WMH-to-ICV ratio, as well as a lower Fazekas scale grade developing to a higher grade. The progression of lacunes, EPVS, and microbleeds was defined by the occurrence of one or more newly diagnosed lacunes, EPVS, and microbleeds during the follow-up duration. Stroke was regarded as the secondary outcome.

Statistical analysis

The sample size was calculated, although this study included a cohort study and a randomized clinical trial. The calculation formula n = 2σ2 × f(α, β)/(μ1-μ2) 2 [23] was used, where n is the sample size of each group, σ is the standard deviation (SD) of the baseline WMH volume, μ1 is the baseline WMH volume, and μ2 is the desired WMH volume at the end of the study. In this study, α was equal to 0.05, and β was equal to 0.1. On the basis of previous studies [7, 9, 11], the mean and SD of the baseline WMH volume in adults ≥75 years of age were 5.4 and 3.5 mL, respectively, and the mean progressed by approximately 2.0 mL over 60 months. In this study, 807 participants were included in the non-statin/placebo group, and 247 were included in the statin/rosuvastatin group to achieve 85% power with a level of statistical significance of 0.05.

Statistical analyses were conducted in SPSS for Windows (version 24.0; SPSS Inc., Chicago, IL, USA). Continuous data are presented as mean ± SD or median with interquartile range (IQR; the range between the 25th and 75th percentiles) depending on the normality of the data, and categorical data are expressed as a frequency with percentages. We used the Kolmogorov-Smirnov test to determine the normality of continuous data. To assess the difference between groups, Student’s t-test or the Mann-Whitney U test was used for continuous data, and the chi-square test was used for categorical data. We applied a linear mixed model to compare the changes in WMH volumes and the WMH-to-ICV ratio across the follow-up period between groups. To assess whether statin therapy was independently associated with CSVD, first we used a multiple linear backward stepwise regression analysis to evaluate the association between statin therapy and the WMH volume and WMH-to-ICV ratio, and a logistic regression model to evaluate the association between statin therapy and the prevalence of a Fazekas scale score ≥ 2, lacunes, EPVS, and microbleeds at baseline in the cohort study. Then we used the Kaplan-Meier with log-rank test to estimate the differences in the cumulative risks of the progression of WMH, lacunes, EPVS, and microbleeds during the follow-up period between groups in the cohort study and the clinical trial. The hazard ratio (HR) with 95% confidence interval (CI) was determined with the Cox proportional hazards model. All models were adjusted for age, sex, smoking, alcohol consumption, history of hypertension and diabetes, medication for hypertension and diabetes, ischemic heart disease, peripheral artery disease, baseline body mass index, systolic and diastolic blood pressure, fasting plasma glucose, triglycerides, high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C). In addition, the baseline WMH-to-ICV ratio, lacunes, EPVS, and microbleeds, the mean and SD of systolic and diastolic blood pressure within the follow-up duration, and incident stroke were included as confounders in the linear mixed model and Cox proportional hazards model. A two-sided P value less than 0.05 was considered statistically significant.

Role of the funding source

The funders had no role in planning the study design, data collection, data analysis and interpretation, or report writing and reviewing. The corresponding author and data analyst had full access to all data in the study and had final responsibility in the decision to submit for publication.

Results

Baseline demographic and clinical characteristics

The protocol flowchart of this study is summarized in Fig. 1. For the cohort study, 827 participants were included in the baseline analysis. There were 129 statin users and 698 non-statin users. The statin group treatments included simvastatin, atorvastatin, lovastatin, fluvastatin, pravastatin, and rosuvastatin. The details of the demographic and clinical characteristics of patients are shown in Table 1. As expected, the levels of plasma total cholesterol, triglycerides, and LDL-C were significantly higher, and the level of HDL-C was lower, in the non-statin group than the statin group (all P < 0.05). Table 2 shows the details of the baseline demographic and clinical characteristics of the clinical trial. After an average of 63.0 (IQR: 60.0 to 63.0) months of follow-up, 24 hypertensive patients were excluded during the follow-up period (eTable 1), and 227 patients were included in the baseline and follow-up analyses. There were no significant difference in demographic and clinical characteristics between groups (all, P > 0.05).

Fig. 1.

Fig. 1

The protocol flow chart

Table 1.

Demographic and clinical characteristics of the participants aged ≥75 years in the cohortstudy

All (n = 827) Non-statin group (n = 698) Statin group (n = 129) P valuea
Clinical parameters
 Female (n [%]) 465 (56.2) 392 (56.2) 73 (56.6) 0.928
 Age (years) 78.08 ± 2.38 78.00 ± 2.38 78.50 ± 2.39 0.028
 Current smoking (n [%]) 257 (31.1) 218 (31.2) 39 (30.2) 0.822
 Alcohol consumption (n [%]) 271 (32.8) 232 (33.2) 39 (30.2) 0.504
 Hypertension (n [%]) 554 (67.0) 472 (67.6) 82 (63.6) 0.368
 Antihypertensive medication (n [%]) 425 (51.4) 367 (52.6) 58 (45.0) 0.112
 Diabetes (n [%]) 98 (11.9) 79 (11.3) 19 (14.7) 0.271
 Lowering glucose medication (n [%]) 91 (11.0) 73 (10.5) 18 (14.0) 0.244
 Dyslipidemia (n [%]) 586 (70.9) 490 (70.2) 96 (74.4) 0.333
 Ischemic heart disease (n [%]) 506 (61.2) 422 (60.5) 84 (65.1) 0.319
 Peripheral artery disease (n [%]) 114 (13.8) 93 (13.3) 21 (16.3) 0.371
 Need statins for primary prevention (n [%]) 720 (87.1) 591 (84.7) 129 (100.0)
 Statins (n [%]) 129 (15.6) 0 (0.0) 129 (100.0)
 Simvastatin 46 (5.6) 0 (0.0) 46 (35.7)
 Atorvastatin 16 (1.9) 0 (0.0) 16 (12.4)
 Lovastatin 7 (0.8) 0 (0.0) 7 (5.4)
 Fluvastatin 11 (1.3) 0 (0.0) 11 (8.5)
 Pravastatin 13 (1.6) 0 (0.0) 13 (10.1)
 Rosuvastatin 36 (4.4) 0 (0.0) 36 (27.9)
 Antiplatelet medication (n [%]) 187 (22.6) 155 (22.2) 32 (24.8) 0.517
 Body mass index (kg/m2) 24.38 ± 2.53 24.36 ± 2.55 24.52 ± 2.39 0.506
 Heart rate (bpm) 70.67 ± 8.64 70.71 ± 8.73 70.48 ± 8.12 0.783
 SBP (mm Hg) 147.92 ± 16.69 148.20 ± 16.52 146.36 ± 17.58 0.250
 DBP (mm Hg) 75.82 ± 8.29 75.93 ± 8.24 75.21 ± 8.59 0.366
Biochemical parameters
 TCHO (mmol/L) 4.68 ± 0.75 4.72 ± 0.76 4.49 ± 0.68 0.001
 TG (mmol/L) 1.53 ± 0.49 1.56 ± 0.51 1.37 ± 0.30 < 0.001
 HDL-C (mmol/L) 1.16 ± 0.35 1.15 ± 0.35 1.25 ± 0.35 0.002
 LDL-C (mmol/L) 2.82 ± 0.68 2.86 ± 0.68 2.62 ± 0.63 < 0.001
 FPG (mmol/L) 5.42 ± 1.31 5.44 ± 1.32 5.30 ± 1.22 0.260
Brain magnetic resonance imaging
 WMH (mL) 5.02 (3.53, 6.37) 5.18 (3.73, 6.51) 4.25 (2.82, 5.48) < 0.001
 WMH-to-ICV ratio (%) 0.38 (0.27, 0.48) 0.40 (0.29, 0.49) 0.32 (0.22, 0.40) < 0.001
 Prevalence of Fazekas scale ≥2 (n [%]) 114 (13.8) 104 (14.9) 10 (7.8) 0.031
 Prevalence of lacunes (n [%]) 98 (11.9) 90 (12.9) 8 (6.2) 0.031
 Prevalence of Virchow-Robin spaces (n [%]) 140 (16.9) 126 (18.1) 14 (10.9) 0.045
 Prevalence of microbleeds (n [%]) 67 (8.1) 56 (8.0) 11 (8.5) 0.847

Data are expressed as mean ± standard deviation, median with interquartile range, or numbers with percentages. aIndicates the differences between non-statin and statin groups. Abbreviation list: SBP, systolic blood pressure; DBP, diastolic blood pressure; TCHO, total cholesterol; TG, triglycerides; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; FPG, fasting plasma glucose; WMH, white matter hyperintensities; ICV, intracranial volume

Table 2.

Demographic and clinical characteristics of the hypertensive patients aged ≥75 years in the clinical trial study

Placebo group (n = 109) Rosuvastatin group (n = 118) P value
Clinical parameters
 Female (n [%]) 52 (47.7) 57 (48.3) 0.928
 Age (years) 78.48 ± 2.58 78.24 ± 2.35 0.465
 Current smoking (n [%]) 28 (25.7) 23 (19.5) 0.264
 Alcohol consumption (n [%]) 34 (31.2) 33 (28.0) 0.594
 Body mass index (kg/m2) 23.57 ± 2.21 23.94 ± 2.49 0.226
 Heart rate (bpm) 67.21 ± 6.41 67.51 ± 5.45 0.706
 SBP (mm Hg) 157.23 ± 9.50 156.80 ± 9.74 0.735
 DBP (mm Hg) 71.14 ± 7.21 70.76 ± 7.35 0.699
Biochemical parameters
 TCHO (mmol/L) 5.08 ± 0.66 5.12 ± 0.69 0.696
 TG (mmol/L) 1.51 ± 0.39 1.48 ± 0.39 0.625
 HDL-C (mmol/L) 1.12 ± 0.19 1.17 ± 0.19 0.061
 LDL-C (mmol/L) 3.28 ± 0.72 3.28 ± 0.75 0.989
 FPG (mmol/L) 5.70 ± 0.66 5.62 ± 0.67 0.333
Brain magnetic resonance imaging
 WMH (mL) 6.57 (5.16, 8.11) 6.93 (4.87, 8.03) 0.907
 WMH-to-ICV ratio (%) 0.54 (0.40, 0.69) 0.54 (0.40, 0.66) 0.871
 Prevalence of Fazekas scale ≥2 (n [%]) 27 (24.8) 21 (17.8) 0.199
 Prevalence of lacunes (n [%]) 16 (14.7) 13 (11.0) 0.409
 Prevalence of Virchow-Robin spaces (n [%]) 12 (11.0) 11 (9.3) 0.674
 Prevalence of microbleeds (n [%]) 13 (11.9) 9 (7.6) 0.274

Data are expressed as mean ± standard deviation, median with interquartile range, or numbers with percentages. Abbreviation list: SBP indicates systolic blood pressure; DBP, diastolic blood pressure; TCHO, total cholesterol; TG, triglycerides; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; FPG, fasting plasma glucose; WMH, white matter hyperintensities; ICV, intracranial volume

The contribution of statin therapy to CSVD in the cohort study at baseline

We first assessed the correlation between statin therapy and the incidence of CSVD at baseline in the cohort study. The WMH volume, WMH-to-ICV ratio, prevalence of a Fazekas scale score ≥ 2, lacunes, EPVS, and microbleeds were significantly lower in the statin group than the non-statin group (all P < 0.05, Table 1). Statin therapy was independently and negatively correlated with WMH volume (beta = − 0.716, 95% CI: − 1.068 to − 0.364, P < 0.001) and the WMH-to-ICV ratio (beta = − 0.057, 95% CI: − 0.084 to − 0.031, P < 0.001) after adjustment for confounders including age, sex, smoking, alcohol consumption, history of hypertension and diabetes, medication for hypertension and diabetes, baseline body mass index, blood pressure, fasting plasma glucose, and lipids. The risks of a Fazekas scale score ≥ 2, lacunes, and EPVS were significantly lower in the statin group than the non-statin group after adjustment for confounders (all adjusted P < 0.05, Table 3). There were no significant differences in the risk of microbleeds between groups (P > 0.05, Table 3).

Table 3.

Correlation between statin therapy and the prevalence of CSVD at baseline in the cohort study

Beta Wald OR (95% CI) P value
Prevalence of Fazekas scale ≥2
 Model 1 −0.783 4.833 0.457 (0.227, 0.919) 0.028
 Model 2 −0.734 4.478 0.480 (0.243, 0.947) 0.034
 Model 3 −0.734 4.501 0.480 (0.244, 0.946) 0.034
Prevalence of lacunes
 Model 1 −0.917 5.533 0.400 (0.186, 0.858) 0.019
 Model 2 −0.842 4.820 0.431 (0.203, 0.914) 0.028
 Model 3 −0.806 4.449 0.447 (0.211, 0.945) 0.035
Prevalence ofVirchow-Robin spaces
 Model 1 −0.614 4.305 0.541 (0.296, 0.990) 0.038
 Model 2 −0.592 3.916 0.553 (0.307, 0.994) 0.045
 Model 3 −0.578 3.581 0.561 (0.315, 0.999) 0.048
Prevalence of microbleeds
 Model 1 0.066 0.037 1.069 (0.544, 2.100) 0.847
 Model 2 0.059 0.027 1.060 (0.528, 2.218) 0.869
 Model 3 0.017 0.002 1.017 (0.516, 2.007) 0.960

Model 1: Adjusted for age and sex

Model 2: model 1 + smoking, alcohol intake, history of hypertension, diabetes, and dyslipidemia; medication for hypertension, diabetes, and platelet aggregation

Model 3: model 2 + body mass index, blood pressure, fasting blood glucose, and blood lipids

The contribution of statin therapy to the progression of CSVD in the cohort study over the follow-up period

Then we evaluated the association between statin therapy and the risk of CSVD progression in the cohort study. After an average of 63.0 (IQR: 57.0 to 66.0) months of follow-up, 46 patients were excluded because they died, withdrew, were lost to follow-up, or did not complete at least one brain MRI follow-up assessment in the cohort study (eTable 2). Finally, 781 participants were included in the follow-up analysis. Increasing trends in the WMH volume and WMH-to-ICV ratio were observed in the statin and the non-statin groups from baseline to the first and to the second brain MRI follow-up assessments. The increasing trends in WMH volume and WMH-to-ICV ratio were significantly lower in the statin group than the non-statin group (all P < 0.001, Fig. 2). Among 781 participants, 157 (20.1%) exhibited WMH progression identified by a lower Fazekas scale grade that later developed to a higher grade, 152 patients (19.5%) exhibited lacune progression, 179 patients (22.9%) exhibited EPVS progression, and 85 patients (10.9%) exhibited microbleed progression. The risks of the progression of WMH (HR: 0.517, 95% CI: 0.338 to 0.791), lacunes (HR: 0.446, 95% CI: 0.290 to 0.686), and EPVS (HR: 0.608, 95% CI: 0.409 to 0.905) were significantly lower in the statin group than the non-statin group. The significant differences remained even after adjustment for confounders including the mean and SD of systolic and diastolic blood pressure within the follow-up duration, and incident stroke (adjusted P = 0.003 for WMH progression, P < 0.001 for lacune progression, and P = 0.021 for EPVS progression, Fig. 2). The mean and SD of systolic and diastolic blood pressures within the follow-up duration are detailed in eTable 3. There was no statistical difference in the risk of microbleed progression between the statin and the non-statin groups (HR: 1.327, 95% CI: 0.741 to 2.379, P = 0.904, Fig. 2).

Fig. 2.

Fig. 2

Effect of statins on the progression of cerebral small vessel disease in the cohort study. a The trends of changes in WMH volume; b the trends of changes in WMH-to-ICV ratio; c the cumulative hazard of the risk of WMH progression identified by the Fazekas scale; d the cumulative hazard of the risk of lacune progression; e the cumulative hazard of the risk of EPVS progression; f the cumulative hazard of the risk of microbleed progression. Abbreviations list: WMH, white matter hyperintensities; ICV, intracranial volume; EPVS, enlarged perivascular space

The contribution of rosuvastatin use to the progression of CSVD in the clinical trial over the follow-up period

Third, we appraised the association between rosuvastatin use and the risk of CSVD progression in the clinical trial. The trends of changes in WMH volume and WMH-to-ICV ratio in the clinical trial were more similar to those in the cohort study. These trends were significantly lower in rosuvastatin group than the placebo group in the follow-up duration (all, P < 0.001, Fig. 3). Among 227 hypertensive patients ≥75 years of age, 48 (21.1%) manifested WMH progression, 33 (14.5%) manifested lacune progression, 33 (14.5%) manifested EPVS progression, and 24 (10.6%) manifested microbleed progression. The risks of progression of WMH (HR: 0.408, 95% CI: 0.233 to 0.716, P < 0.001), lacunes (HR: 0.417, 95% CI: 0.257 to 0.676, P < 0.001), and EPVS (HR: 0.466, 95% CI: 0.249 to 0.873, P = 0.005) were significantly lower in the rosuvastatin group than the placebo group after adjustment for confounders including the mean and SD of systolic and diastolic blood pressure within the follow-up duration, and incident stroke. The mean and SD of systolic and diastolic blood pressure within the follow-up duration are detailed in eTable 3. Furthermore, we observed no statistical difference in microbleed progression between the rosuvastatin and placebo groups (HR: 0.703, 95% CI: 0.374 to 1.692, P = 0.416, Fig. 3).

Fig. 3.

Fig. 3

Effect of rosuvastatin on the progression of cerebral small vessel disease in the clinical trial. a The trends of changes in WMH volume; b the trends of changes in WMH-to-ICV ratio; c the cumulative hazard of the risk of WMH progression identified by the Fazekas scale; d the cumulative hazard of the risk of lacune progression; e the cumulative hazard of the risk of EPVS progression; f the cumulative hazard of the risk of microbleed progression. Abbreviations list: WMH, white matter hyperintensities; ICV, intracranial volume; EPVS, enlarged perivascular space

Incident stroke over the follow-up period

We also assessed the effect of statins on incident stroke. For the cohort study, incident stroke was 64 participants (8.2%) and the risk of incident stroke was significantly lower in the statin group than the non-statin group (HR: 0.598, 95% CI: 0.368 to 0.973, P < 0.001). For the clinical trial, the incident stroke was 13 participants (5.7%), and the risk of incident stroke was significantly lower in the rosuvastatin group than the placebo group (HR: 0.560, 95% CI: 0.374 to 0.838, P < 0.001).

Adverse effects of statins

We also assessed the adverse effects of statins. There were no statistically significant differences in the incidence of newly diagnosed diabetes, myalgias, impaired liver function, and frailty between the statin and non-statin groups in the cohort study, and between the rosuvastatin and placebo groups in the clinical trial, over the follow-up duration (all P > 0.05, eTable 4).

Discussion

The goal of this study was to assess the neuroprotective effects of statins in adults ≥75 years of age on the basis of the data generated from a cohort study and a clinical trial. After analysis, we found that (1) statin therapy markedly ameliorated the risks of WMH, lacunes, and EPVS progression; and (2) statin therapy had neither beneficial nor detrimental effects on microbleed progression.

Statin therapy is well established to be beneficial in the primary and secondary prevention of many mortality associated cardio- and cerebrovascular diseases [2429]. Recently, a large meta-analysis including 28 randomized control trials has demonstrated that statins significantly decrease major vascular events such as heart attack and stroke, irrespective of age [17].

The Regression of Cerebral Artery Stenosis study has indicated that simvastatin ameliorates cerebral WMH progression and is associated with a lower incidence of lacunes in people 36 and 75 years of age [30, 31]. Our previous studies have shown that rosuvastatin intervention markedly decreases the risk of WMH progression and the incidence of new lacunes in hypertensive patients 60 years and older [7, 9]. These results indeed indicated that statins had neuroprotective effects. However, there was less direct evidence of these neuroprotective effects in adults ≥75 years of age.

In this study, we first performed a baseline cross-sectional analysis of the cohort study and then conducted a prospective analysis to validate the findings of the cross-sectional analysis. Finally, we used a randomized, double-blind, placebo-controlled clinical trial to further validate the above findings. We found that statin therapy decreased the risk of progression of WMH, lacunes, and EPVS by almost 50% in the cohort study. To confirm these findings, we analyzed the data from the randomized, double-blind, placebo-controlled clinical trial. The decreases in the risks of WMH, lacunes, and EPVS progression were approximately 64, 72, and 64%, respectively, in the rosuvastatin treated group, as compared with the placebo group, after adjustment for confounders. The results indicated that statin therapy, compared with non-statin therapy, was associated with a lower risk of WMH, lacunes, and EPVS progression.

Statins have been found to be independently associated with a higher risk of cerebral microbleeds [32, 33]. The Stroke Prevention by Aggressive Reduction in Cholesterol Levels (SPARCL) study, conducted in a group of patients with ischemic stroke, has shown that statins, compared with placebo, caused an approximately two-fold increase risk of hemorrhagic stroke [32]. Haussen and colleagues have reported that the presence and increased number of microbleeds was 2.7-fold higher in statin-treated patients than in statin-untreated patients with intracerebral hemorrhage. The differences were more significant in cortico-subcortical microbleeds [33]. In contrast, the results of this study were not consistent with those of our previous studies [7, 9]. We did not find any significant difference in the risk of microbleed progression between groups receiving statin and non-statin therapy. The different participants recruited in these studies were probably a major contributor to the discrepancy. In the SPARCL study, the participants were patients with ischemic stroke, and in Haussen’s study, the participants were patients with intracerebral hemorrhage.

We found that the effects of statin therapy on the progression of WMH, lacunes, and EPVS differed from the progression of microbleeds, possibly because of the different underlying etiologies and pathophysiological mechanisms in CSVD subtypes. WMH, lacunes, and EPVS are considered subtypes of ischemic damage resulting from obstruction or narrowing of cerebral small vessels [3436]. Microbleeds, however, are regarded as a subtype of hemorrhagic damage caused by red blood cell leakage from brain capillaries and/or bleeding vessels [35, 37]. Microbleeds are also seen as an asymptomatic precursor of intracerebral hemorrhage [33, 35] and have been reported to be associated with the serum lipid [33, 38].

The major strength of this study is that this work included a prospective and population-based cohort study and a randomized, double-blind, and placebo-controlled clinical trial. The results of both studies corroborated each other, thus enhancing the credibility of the results and conclusions. Another strength was that long-term follow-up continued for an average of 63.0 (57.0 to 66.0) months in the cohort study and 63.0 (IQR: 60.0 to 63.0) months in the clinical trial.

Several limitations in our study must be addressed. First, we did not show the changes in blood lipids, particularly LDL-C, in this study. Statins are mainly used to lower blood LDL-C in clinical practice, and a higher level of LDL-C is significantly associated with an increased risk of cardio- and cerebrovascular diseases. Second, we did not include incident mild cognitive impairment or dementia as outcomes in this study. However, CSVD is well documented to be closely associated with mild cognitive impairment and dementia. Third, a surrogate endpoint, WMH reduction, was used in this study but was not a clinical endpoint. Fourth, only rosuvastatin was used in the clinical trial. Although rosuvastatin is an important member of the statin family, it does not fully represent the other statins. In addition, there were fewer statin users than non-statin users in the cohort study, and the participants were merely hypertensive patients in the clinical trial. Therefore bias might have been introduced in the results. Finally, this study was a post-hoc subgroup analysis, a design well recognized to create a risk of type I error.

Conclusions

In conclusion, we found that statin therapy alleviated the progression of WMH, lacunes, and EPVS without elevating the risk of cerebral microbleeds in adults ≥75 years of age. Our findings indicated that statin therapy was an efficient and safe intervention for CSVD. Beyond the already existing evidence of the potential benefits of statin therapy, we observed neuroprotective effects in adults ≥75 years of age. However, our findings should be validated by further studies including multi-racial and multi-ethnic trials.

Supplementary information

12877_2020_1682_MOESM1_ESM.docx (26.3KB, docx)

Additional file 1: eTable 1. Demographic and clinical characteristics of the excluded participants ≥75 years of age in the cohort study. eTable 2. Demographic and clinical characteristics of the excluded hypertensive patients ≥75 years of age in the clinical trial. eTable 3. Mean and variability in blood pressure in the cohort study and clinical trial over the follow-up period. eTable 4. Adverse effects of statins.

Acknowledgments

The authors thank the patients who took part in the study.

Abbreviations

CSVD

Cerebral small vessel disease

WMH

White matter hyperintensities

EPVS

Enlarged perivascular space

TR

Repetition time

TE

Echo time

FLAIR

Fluid-attenuated inversion recovery

ICV

Intracranial volume

HDL-C

High-density lipoprotein cholesterol

LDL-C

Low-density lipoprotein cholesterol

Authors’ contributions

ZL, HZ, YG, and YZ were involved in the study conception, design, conducting, and obtaining of funding; YL, XL, YC, SS, QJ, and QC were involved in the data collection and analysis; YL, YG, XL, GG, HZ, and ZL were involved in data interpretation and manuscript writing. All authors have reviewed and approved the final version of the manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (grant numbers 81670432, 81470489, 81973139, and 81202778); the Natural Science Foundation of Shandong Province, China (grant numbers ZR2016HM82); the Key Technology Research and Development Project of Shandong (grant numbers 2018GSF118044, 2017GSF218060, 2019GSF108079, and 2011GSF11822); and the Innovation Project of Shandong Academy of Medical Sciences. The funders had no role in study design, data collection, data analysis, data interpretation, manuscript writing and reviewing, or decision to submit for publication.

Availability of data and materials

The dataset used and/or analyzed during the current study is available from the corresponding author on reasonable request.

Ethics approval and consent to participate

Ethical approval was obtained from the Research Ethics Committee of the Institute of Basic Medicine, Shandong Academy of Medical Sciences (registration number: 2008-03-06 for the cohort study and 2007-12-09 for the clinical trial). Trial registry: ChiCTR-EOC-017013598 and ChiCTR-IOR-17013557. Each participant provided written informed consent.

Consent for publication

Not applicable.

Competing interests

The authors have no financial conflicts of interest.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Yuqi Guo, Email: guoyuqiyky@126.com.

Yunpeng Li, Email: 15588882926@163.com.

Xukui Liu, Email: lxk8822@126.com.

Yi Cui, Email: 22hua@sina.com.

Yingxin Zhao, Email: xiaoying781013@126.com.

Shangwen Sun, Email: sunnan1002@163.com.

Qing Jia, Email: jiaqing761020@163.com.

Qiang Chai, Email: chai_qiang@163.com.

Gary Gong, Email: ggong1@jhmi.edu.

Hua Zhang, Email: huazhang0709@163.com.

Zhendong Liu, Email: zhendongliu876@126.com.

Supplementary information

Supplementary information accompanies this paper at 10.1186/s12877-020-01682-w.

References

  • 1.Pantoni L. Cerebral small vessel disease: from pathogenesis and clinical characteristics to therapeutic challenges. Lancet Neurol. 2010;9:689–701. doi: 10.1016/S1474-4422(10)70104-6. [DOI] [PubMed] [Google Scholar]
  • 2.Zwanenburg JJM, van Osch MJP. Targeting cerebral small vessel disease with MRI. Stroke. 2017;48:3175–3182. doi: 10.1161/STROKEAHA.117.016996. [DOI] [PubMed] [Google Scholar]
  • 3.Cuadrado-Godia E, Dwivedi P, Sharma S, Ois Santiago A, Roquer Gonzalez J, Balcells M, et al. Cerebral small vessel disease: a review focusing on pathophysiology, biomarkers, and machine learning strategies. J Stroke. 2018;20:302–320. doi: 10.5853/jos.2017.02922. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Mishra A, Chauhan G, Violleau MH, Vojinovic D, Jian X, Bis JC, et al. Association of variants in HTRA1 and NOTCH3 with MRI-defined extremes of cerebral small vessel disease in older subjects. Brain. 2019;142:1009–1023. doi: 10.1093/brain/awz024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Wardlaw JM, Smith EE, Biessels GJ, Cordonnier C, Fazekas F, Frayne R, et al. STandards for ReportIng vascular changes on nEuroimaging (STRIVE v1). Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol. 2013;12:822–838. doi: 10.1016/S1474-4422(13)70124-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Kaffashian S, Tzourio C, Soumare A, Dufouil C, Zhu Y, Crivello F, et al. Plasma beta-amyloid and MRI markers of cerebral small vessel disease: three-city Dijon study. Neurology. 2014;83:2038–2045. doi: 10.1212/WNL.0000000000001038. [DOI] [PubMed] [Google Scholar]
  • 7.Ji T, Zhao Y, Wang J, Cui Y, Duan D, Chai Q, et al. Effect of low-dose statins and Apolipoprotein E genotype on cerebral small disease in older hypertensive patients: A subgroup analysis of a randomized clinical trial. J. Am. Med. Dir. Assoc. 2018;19:995–1002. doi: 10.1016/j.jamda.2018.05.025. [DOI] [PubMed] [Google Scholar]
  • 8.Xiong Y, Wong A, Cavalieri M, Schmidt R, Chu WW, Liu X, et al. Prestroke statins, progression of white matter hyperintensities, and cognitive decline in stroke patients with confluent white matter hyperintensities. Neurotherapeutics. 2014;11:606–611. doi: 10.1007/s13311-014-0270-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Zhang H, Cui Y, Zhao Y, Dong Y, Duan D, Wang J, et al. Effects of sartans and low-dose statins on cerebral white matter hyperintensities and cognitive function in older patients with hypertension: a randomized, double-blind and placebo-controlled clinical trial. Hypertens Res. 2019;42:717–729. doi: 10.1038/s41440-018-0165-7. [DOI] [PubMed] [Google Scholar]
  • 10.Vernooij MW, Ikram MA, Tanghe HL, Vincent AJ, Hofman A, Krestin GP, et al. Incidental findings on brain MRI in the general population. N Engl J Med. 2007;357:1821–1828. doi: 10.1056/NEJMoa070972. [DOI] [PubMed] [Google Scholar]
  • 11.Zhang H, Cui Y, Zhao Y, Dong Y, Wang J, Duan D, et al. Association of circadian rhythm of blood pressure and cerebral small vessel disease in community-based elderly. J Gerontol A Biol Sci Med Sci. 2019;74:1322–1330. doi: 10.1093/gerona/gly212. [DOI] [PubMed] [Google Scholar]
  • 12.van Dijk EJ, Prins ND, Vrooman HA, Hofman A, Koudstaal PJ, Breteler MM. Progression of cerebral small vessel disease in relation to risk factors and cognitive consequences: Rotterdam scan study. Stroke. 2008;39:2712–2719. doi: 10.1161/STROKEAHA.107.513176. [DOI] [PubMed] [Google Scholar]
  • 13.US Preventive Services Task Force. Bibbins-Domingo K, Grossman DC, Curry SJ, Davidson KW, Epling JW, Jr, García FA, Gillman MW, et al. Statin use for the primary prevention of cardiovascular disease in adults: US Preventive Services Task Force Recommendation Statement. JAMA. 2016;316:1997–2007. doi: 10.1001/jama.2016.15450. [DOI] [PubMed] [Google Scholar]
  • 14.Mortensen MB, Nordestgaard BG. Comparison of five major guideline for statin use in primary prevention in a contemporary general population. Ann Intern Med. 2018;168:85–92. doi: 10.7326/M17-0681. [DOI] [PubMed] [Google Scholar]
  • 15.Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, et al. 2019 ACC/AHA guideline on the primary prevention of cardiovascular disease. Circulation. 2019. 10.1161/CIR.0000000000000678.
  • 16.Mortensen MB, Falk E. Primary prevention with statins in the elderly. J Am Coll Cardiol. 2018;71:85–94. doi: 10.1016/j.jacc.2017.10.080. [DOI] [PubMed] [Google Scholar]
  • 17.Cholesterol Treatment Trialists’ Collaboration Efficacy and safety of statin therapy in older people: a meta-analysis of individual participant data from 28 randomised controlled trials. Lancet. 2019;393:407–415. doi: 10.1016/S0140-6736(18)31942-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Martínez-Sánchez P, Rivera-Ordóñez C, Fuentes B, Ortega-Casarrubios MA, Idrovo L, Díez-Tejedor E. The beneficial effect of statins treatment by stroke subtype. Eur J Neurol. 2009;16:127–133. doi: 10.1111/j.1468-1331.2008.02370.x. [DOI] [PubMed] [Google Scholar]
  • 19.Bezin J, Moore N, Mansiaux Y, Steg PG, Pariente A. Real-life benefits of statins for cardiovascular prevention in elderly subjects: a population-based cohort study. Am J Med. 2019. 10.1016/j.amjmed.2018.12.032. [DOI] [PubMed]
  • 20.Kester MI, Goos JD, Teunissen CE, Benedictus MR, Bouwman FH, Wattjes MP, et al. Associations between cerebral small-vessel disease and Alzheimer disease pathology as measured by cerebrospinal fluid biomarkers. JAMA Neurol. 2014;71:855–862. doi: 10.1001/jamaneurol.2014.754. [DOI] [PubMed] [Google Scholar]
  • 21.Banerjee G, Kim HJ, Fox Z, Jäger HR, Wilson D, Charidimou A, et al. MRI-visible perivascular space location is associated with Alzheimer’s disease independently of amyloid burden. Brain. 2017;140:1107–1116. doi: 10.1093/brain/awx003. [DOI] [PubMed] [Google Scholar]
  • 22.Jang JW, Park SY, Park YH, Baek MJ, Lim JS, Youn YC, et al. A comprehensive visual rating scale of brain magnetic resonance imaging: application in elderly subjects with Alzheimer’s disease, mild cognitive impairment, and normal cognition. J Alzheimers Dis. 2015;44:1023–1034. doi: 10.3233/JAD-142088. [DOI] [PubMed] [Google Scholar]
  • 23.Pocock SJ. Clinical trials: A practical approach. 1st edition. Chichester: John Wiley & Sons Ltd. England; 1983. pp. 123–141. [Google Scholar]
  • 24.Amarenco P, Bogousslavsky J, Callahan A, 3rd, Goldstein LB, Hennerici M, Rudolph AE, et al. Stroke prevention by aggressive reduction in cholesterol levels (SPARCL) investigators. High-dose atorvastatin after stroke or transient ischemic attack. N Engl J Med. 2006;355:549–559. doi: 10.1056/NEJMoa061894. [DOI] [PubMed] [Google Scholar]
  • 25.Mihaylova B, Emberson J, Blackwell L, Keech A, Simes J, Barnes EH, et al. The effects of lowering LDL cholesterol with statin therapy in people at low risk vascular disease: meta-analysis of individual data from 27 randomised trials. Lancet. 2012;380:581–590. doi: 10.1016/S0140-6736(12)60367-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Stone NJ, Robinson JG, Lichenstein AH, Bairey Merz CN, Blum CB, Eckel RH, et al. American College of Cardiology/American Heart Association task force on practice guidelines. 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults. A report of the American College of Cardiology/American Heart Association task force on practice guidelines. Circulation. 2014;129:S1–S45. doi: 10.1161/01.cir.0000437738.63853.7a. [DOI] [PubMed] [Google Scholar]
  • 27.Yeramaneni S, Kleindorfer DO, Sucharew H, Alwell K, Moomaw CJ, Flaherty ML, et al. Hyperlipidemia is associated with lower risk of poststroke mortality independent of statin use: a population-based study. Int J Stroke. 2017;12:152–160. doi: 10.1177/1747493016670175. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Orkaby AR, Rich MW, Sun R, Lux E, Wei LJ, Kim DH. Pravastatin for primary prevention in older adults: restricted mean survival time analysis. J Am Geriatr Soc. 2018;66:1987–1991. doi: 10.1111/jgs.15509. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Tramacere I, Boncoraglio GB, Banzi R, Del Giovane C, Kwag KH, Squizzato A, et al. Comparison of statins for secondary prevention in patients with ischemic stroke or transient ischemic attack: a systematic review and network meta-analysis. BMC Med. 2019;17:67. doi: 10.1186/s12916-019-1298-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Mok VC, Lam WW, Fan YH, Wong A, Ng PW, Tsoi TH, et al. Effects of statins on the progression of cerebral white matter lesion: post hoc analysis of the ROCAS (regression of cerebral artery stenosis) study. J Neurol. 2009;256:750–757. doi: 10.1007/s00415-009-5008-7. [DOI] [PubMed] [Google Scholar]
  • 31.Fu JH, Mok V, Lam W, Wong A, Chu W, Xiong Y, et al. Effects of statins on progression of subclinical brain infarct. Cerebrovasc Dis. 2010;30:51–56. doi: 10.1159/000313614. [DOI] [PubMed] [Google Scholar]
  • 32.Goldstein LB, Amaremco P, Szarek M, Callahan A, 3rd, Hennerici M, Sillesen H, et al. SPARCL investigators. Hemorrhagic stroke in the stroke prevention by aggressive reduction in cholesterol levels study. Neurology. 2008;70:2364–2370. doi: 10.1212/01.wnl.0000296277.63350.77. [DOI] [PubMed] [Google Scholar]
  • 33.Haussen DC, Henninger N, Kumar S, Selim M. Statin use and microbleeds in patients with spontaneous interacerebral haemorrhage. Stroke. 2012;43:2677–2681. doi: 10.1161/STROKEAHA.112.657486. [DOI] [PubMed] [Google Scholar]
  • 34.Román GC, Erkinjuntti T, Wallin A, Pantoni L, Chui HC. Subcortical ischaemic vascular dementia. Lancet Neurol. 2002;1:426–436. doi: 10.1016/S1474-4422(02)00190-4. [DOI] [PubMed] [Google Scholar]
  • 35.Wardlaw JM, Smith C, Dichgans M. Mechanisms of sporadic cerebral small vessel disease: insights from neuroimaging. Lancet Neurol. 2013;12:483–497. doi: 10.1016/S1474-4422(13)70060-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Moran C, Phan TG, Srikanth VK. Cerebral small vessel disease: a review of clinical, radiological, and histopathological phenotypes. Int J Stroke. 2012;7:36–46. doi: 10.1111/j.1747-4949.2011.00725.x. [DOI] [PubMed] [Google Scholar]
  • 37.Fazekas F, Kleinert R, Roob G, Kleinert G, Kapeller P, Schmidt R, et al. Histopathologic analysis of foci of signal loss on gradient-echo T2*-weighted MR images in patients with spontaneous interacerebral hemorrhage: evidence of microangiopathy-related microbleeds. AJNR Am J Neuroradiol. 1999;20:637–642. [PMC free article] [PubMed] [Google Scholar]
  • 38.Mitaki S, Nagai A, Oguro H, Yamaguchi S. Serum lipid fractions and cerebral microbleeds in a healthy Japanese population. Cerebrovasc Dis. 2017;43:186–191. doi: 10.1159/000456623. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

12877_2020_1682_MOESM1_ESM.docx (26.3KB, docx)

Additional file 1: eTable 1. Demographic and clinical characteristics of the excluded participants ≥75 years of age in the cohort study. eTable 2. Demographic and clinical characteristics of the excluded hypertensive patients ≥75 years of age in the clinical trial. eTable 3. Mean and variability in blood pressure in the cohort study and clinical trial over the follow-up period. eTable 4. Adverse effects of statins.

Data Availability Statement

The dataset used and/or analyzed during the current study is available from the corresponding author on reasonable request.


Articles from BMC Geriatrics are provided here courtesy of BMC

RESOURCES