Literature DB >> 20884696

Low glomerular filtration rate and risk of stroke: meta-analysis.

Meng Lee1, Jeffrey L Saver, Kuo-Hsuan Chang, Hung-Wei Liao, Shen-Chih Chang, Bruce Ovbiagele.   

Abstract

OBJECTIVE: To qualitatively and quantitatively investigate the link between a low estimated glomerular filtration rate (eGFR) at baseline and risk of future stroke.
DESIGN: Systematic review and meta-analysis of prospective studies. DATA SOURCES: PubMed (1966-October 2009) and Embase (1947-October 2009). Selection criteria Inclusion criteria were studies that prospectively collected data within cohort studies or clinical trials, estimated glomerular filtration rate at baseline using the modification of diet in renal disease or Cockcroft-Gault equations, assessed incident stroke, had a follow-up of at least one year, and reported quantitative estimates of multivariate adjusted relative risk and 95% confidence interval for stroke associated with an eGFR of 60-90 ml/min/1.73 m(2) or <60 ml/min/1.73 m(2). Data abstraction Two investigators independently abstracted data from eligible studies. Estimates were combined using a random effects model. Heterogeneity was assessed by P value of χ(2) statistics and I(2). Publication bias was assessed by visual examination of funnel plots.
RESULTS: 21 articles derived from 33 prospective studies: 14 articles assessed eGFR <60 ml/min/1.73 m(2) and seven assessed eGRF at both <60 ml/min/1.73 m(2) and 60-90 ml/min/1.73 m(2) for a total of 284 672 participants (follow-up 3.2-15 years) with 7863 stroke events. Incident stroke risk increased among participants with an eGFR <60 ml/min/1.73 m(2) (relative risk 1.43, 95% confidence interval 1.31 to 1.57; P<0.001) but not among those with an eGFR of 60-90 ml/min/1.73 m(2) (1.07, 0.98 to 1.17; P=0.15). Significant heterogeneity existed between estimates among patients with an eGFR <60 ml/min/1.73 m(2) (P<0.001). In subgroup analyses among participants with an eGFR <60 ml/min/1.73 m(2), heterogeneity was significant in Asians compared with non-Asians (1.96, 1.73 to 2.23 v 1.25, 1.16 to 1.35; P<0.001), and those with an eGFR of 40-60 ml/min/1.73 m(2) v <40 ml/min/1.73 m(2) (1.28, 1.04 to 1.56 v 1.77, 1.32 to 2.38; P<0.01).
CONCLUSIONS: A baseline eGFR <60 ml/min/1.73 m(2) was independently related to incident stroke across a variety of participants and study designs. Prompt and appropriate implementation of established strategies for reduction of vascular risk in people with know renal insufficiency may prevent future strokes.

Entities:  

Mesh:

Year:  2010        PMID: 20884696      PMCID: PMC2948650          DOI: 10.1136/bmj.c4249

Source DB:  PubMed          Journal:  BMJ        ISSN: 0959-8138


Introduction

Chronic kidney disease and cardiovascular disease are major public health problems worldwide and often share the same pathophysiological mechanisms.1 Indeed, the prevalence of traditional cardiovascular risk factors can be high in those with impaired kidney function,2 and most patients with an estimated glomerular filtration rate (eGFR) lower than 60 ml/min/1.73 m2 die of cardiovascular causes and not progression to end stage renal disease.3 As such, averting future vascular events in patients with a low eGFR should be a primary goal.4 A systematic review of observational studies showed that a reduced eGFR was associated with an increased risk of coronary heart disease,5 and a recent meta-analysis showed that a low eGFR was linked to all cause and cardiovascular mortality in the general population.6 The effect of reduced eGFR on incident stroke, however, has not been well delineated in a qualitative or quantitative manner using the totality of published data. As stroke is a leading cause of mortality and morbidity worldwide, and several strategies, such as blood pressure control and use of statins and aspirin, may reduce subsequent cardiovascular disease in patients with chronic kidney disease, it is important to identify people at potential high risk, then appropriate therapy can be applied.7 8 We carried out a systematic review and meta-analysis to determine whether a link exists between reduced eGFR and incident stroke and the magnitude of any relation.

Methods

The search strategy was done according to the recommendations of the Meta-analysis of Observational Studies in Epidemiology.9 We searched PubMed (1966 to October 2009) and Embase (1947 to October 2009) using the search strategy “glomerular filtration rate” OR “renal disease” OR “chronic kidney disease” AND “stroke” OR “cerebrovascular disease” OR “cerebrovascular attack” OR “cerebral infarct” OR “intracranial hemorrhage” AND “prospective” OR “cohort” OR “observational” OR “post hoc” (see web extra fig 1). We restricted the search to studies in humans. No language restrictions were applied. Further information was retrieved through a manual search of references from recent reviews and relevant published original studies.

Study selection and data abstraction

We included studies that prospectively collected data within cohort studies or clinical trials, used the modification of diet in renal disease or Cockcroft-Gault equations to estimate glomerular filtration rate at baseline, assessed incident stroke, had a follow-up of at least one year, and reported quantitative estimates of the multivariate adjusted relative risk and 95% confidence interval for stroke associated with an eGFR of 60-90 ml/min/1.73 m2 or <60 ml/min/1.73 m2, or both. We excluded studies that had a cross sectional, case-control, or retrospective cohort study; that had mostly participants with end stage renal disease (by history of dialysis or an eGFR <15 ml/min/1.73 m2) or kidney transplant; that only reported unadjusted or age and sex adjusted relative risk; that did not report 95% confidence intervals; and that were duplicated. Studies that used slightly varying eGFR intervals were included if they were otherwise comparable. Two investigators (ML and K-HC) independently abstracted data from eligible studies. Discrepancies were resolved by discussion with a third investigator (BO) and by referencing the original report.

Study quality

We assessed the quality of eligible studies. Assessment was based on guidelines developed by the US Preventive Task Force as well as the modified checklist used in previous studies.10 11 12 We assessed eight characteristics: prospective study design, maintenance of comparable groups, adjustment of potential confounders, documented loss of follow-up rate, assessor of outcome blinded to exposure status, clear definition of exposures (eGFR) and outcomes (stroke), temporality (eGFR measured at baseline, not at time of outcomes assessment), and follow-up of at least one year. Studies were graded as good quality if they met at least seven of eight criteria, fair if they met four to six, and poor if they met fewer than four.

Statistical analysis

For data analysis we used multivariate adjusted outcome data (expressed as relative risks and 95% confidence intervals). When articles provided estimates based on both the modification of diet in renal disease and the Cockcroft-Gault equations, we used estimates from the more informative, expert recommended modification of diet in renal disease equation4 for primary analysis. In each study we converted these values by using their natural logarithms, and we calculated the standard errors from these logarithmic numbers and their corresponding 95% confidence intervals. For the statistical analysis we combined log relative risks and standard errors using the inverse variance approach. We used a random effect model and explored for sources of inconsistency (I2) and heterogeneity. A fixed effect model was also used for comparison with the random effects model on the overall risk estimate. Reported P values were two sided, with significance set at less than 0.05. Heterogeneity was assessed by P value of χ2 statistics and I2, which describes the percentage of variability in the effect estimates that is due to heterogeneity rather than to chance.13 14 Based on the suggestion of the Cochrane Collaboration we regarded heterogeneity as possibly unimportant when the I2 value was less than 40% and considerable when more than 75%.15 RevMan 5 was used for the meta-analysis of observational studies.16 17 The leading outcomes of interest were relative risks of incident stroke in patients with an eGFR of 60-90 ml/min/1.73 m2 and <60 ml/min/1.73 m2. Publication bias was assessed by visual examination of funnel plots. Subgroup analyses for eGFRs <60 ml/min/1.73 m2 were done according to normal references (studies using an eGFR >60 ml/min/1.73 m2 as the normal reference versus studies using >90 ml/min/1.73 m2 as normal), study population type (general or hypertension only versus established cardiovascular disease or high cardiovascular risk at entry), study design (ordinary cohorts versus secondary analysis of clinical trials), ethnicity (Asians v non-Asians), follow-up (<7 years v ≥7 years), number of participants (<10 000 v ≥10 000), equation used to determine eGFR (modification of diet in renal disease v Cockcroft-Gault), end points (fatal v fatal plus non-fatal stroke), stroke subtype (ischaemic v haemorrhagic stroke), sex (men v women), degree of eGFR impairment (eGFR 40-60 ml/min/1.73 m2 or nearest equivalent v <40 ml/min/1.73 m2 or nearest equivalent), level of adjustment (age and sex adjusted v multivariate adjusted), and study quality (good v fair). We also explored the interaction between eGFR and albuminuria by using as a reference those groups with an eGFR of >60 ml/min/1.73 m2 without albuminuria.

Results

The literature review identified 83 full articles for detailed assessment, of which 53 were excluded for having no multivariate adjusted stroke estimate, six for being duplicated studies, and three for having a retrospective cohort design. Our final primary analysis included 21 articles derived from 33 prospective studies18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38: 14 articles assessed eGFR <60 ml/min/1.73 m2 only and seven assessed both <60 ml/min/1.73 m2 and 60-90 ml/min/1.73 m2 (fig 1). The table shows the characteristics of the included studies. Overall, 284 672 participants had a total of 7863 stroke events. Among the 21 articles, one contained 10 community cohorts from Japan30 and the other four community cohorts from the United States.36 Participants were derived from ordinary cohorts in 13 articles and clinical trials in eight. On a scale of 8 the overall quality of studies was good (median score 7, range 5-8). Follow-up ranged from 3.222 to 15 years.20 Glomerular filtration rate was estimated by the modification of diet in renal disease equation in 15 articles and by the Cockcroft-Gault equation in six. Nineteen articles reported fatal plus non-fatal stroke as a primary end point, whereas two reported fatal stroke as a primary end point.20 24 One study used thromboembolic events as a primary end point, but ischaemic stroke constituted over 94% of total thromboembolic events.23 Transient ischaemic attacks were only included as end points in three studies.22 26 34

Fig 1 Flow of study selection

Characteristics of included studies

Study, countryStudy populationEquation to calculate eGFReGFR groups (ml/min/1.73 m2)No of participants% menMean (SD) or median (range) age (years)No of strokesFollow-up (years)End pointsAdjusted variablesStudy quality
Bax 2008, Netherlands18Atherosclerotic vascular disease or cardiovascular risk factors at entryModification of diet in renal disease>90 (reference); 60-90; <60602; 2097; 51783; 77; 6454 (10); 60 (10); 67 (8)15; 59; 383.3All strokeAge, sex, body mass index, hypertension, coronary heart disease, cerebral disease, peripheral artery disease, abdominal aortic aneurysm, diabetes mellitus, smoking, and use of angiotensin converting enzyme inhibitors and angiotensin II antagonistsFair
Bos 2007, Netherlands19General, no stroke at entryCockcroft-Gault≥60 (reference); <602652; 22854069 (62 to 77)58610.2All stroke (ischaemic and haemorrhagic recorded separately)Age, sex, and propensity score (systolic blood pressure, diastolic blood pressure, antihypertensive drug use, left ventricular hypertrophy, diuretic use, pack years of smoking, diabetes mellitus, cholesterol level, high density lipoprotein level, carotid intima media thickness, uric acid, C reactive protein, previous myocardial infarction, previous atrial fibrillation, waist to hip ratio, antithrombotic drug use, lipid lowering drug use)Good
Cheng 2008, Taiwan20GeneralModification of diet in renal disease>90 (reference); 60 to 90; <604190; 11 583; 125363; 80; 8756 (5); 57 (5); 61 (6)29; 88; 3515Fatal stroke (ischaemic and haemorrhagic recorded separately)Age, sex, body mass index, smoking status (current, former, never), total cholesterol level, haemoglobin concentration, diabetes mellitus, systolic blood pressure, history of hypertension, and prevalent cardiovascular diseaseFair
Deo 2008, USA21General, no stroke at entryModification of diet in renal disease≥60 (reference); <602340; 6324974 (70 to 79)126; 376All strokeRace, age, sex, site, body mass index, alcohol use, current smoking status, diabetes mellitus, hypertension, aspirin use, diuretic use, angiotensin converting enzyme inhibitors use, β blocker use, statin use, low density lipoprotein and high density lipoprotein cholesterol level, plasminogen activator inhibitor, C reactive protein, albumin, interleukin-6, and tumour necrosis factor αFair
Ford 2009, Ireland, Scotland, and Netherlands22Pre-existing vascular disease or increased risk of such disease, secondary analysis of clinical trialModification of diet in renal disease≥60 (reference); 50-60; 40-50; 20-402702; 1641; 1104; 34958; 48; 33; 2675 (3); 75 (3); 76 (3); 77 (3)190; 120; 74; 313.2All stroke and transient ischaemic attacksRandomised treatment; country; sex; current smoking status; age; histories of hypertension, diabetes mellitus, and vascular disease; levels of low density lipoprotein cholesterol and high density lipoprotein cholesterol; systolic and diastolic blood pressure; glucose level; body mass index; and C reactive proteinGood
Go 2009, USA23Atrial fibrillation at entryModification of diet in renal disease≥60 (reference); 45 to 59; <457690; 2499; 133860; 48; 5272 (64 to 78); 76 (70 to 82); 78 (73 to 83)6378Thromboembolic events, 94% were ischaemic strokeAge, sex, race/ethnicity, educational attainment, annual income status, previous ischaemic stroke, heart failure, diabetes mellitus, hypertension, and coronary artery diseaseGood
Irie 2006, Japan24General, men; general, womenModification of diet in renal diseaseMen: ≥100 (reference), 60 to 99, <60. Women: ≥100 (reference), 60 to 99, <60Men: 7082, 23 858, 824. Women: 10 554, 48 041, 2073Men: 100 for all groups. Women: 0 for all groups61Men: 84, 363, 44. Women: 53, 365, 7610Fatal strokeAge, hypertension category, cigarette smoking, alcohol intake, diabetes mellitus, sex-specific fifths of serum total cholesterol level, serum high density lipoprotein cholesterol level, body mass index, and urinary proteinFair
Kokubo 2009, Japan25GeneralModification of diet in renal disease≥90 (reference); 60 to 89; 50 to 59; <502415; 2452; 387; 124475665; 99; 36; 1311.7All stroke (ischaemic and haemorrhagic recorded separately)Age, sex, body mass index, smoking, alcohol consumption, and present illness (hypertension, diabetes mellitus, and hypercholesterolaemia)Good
Koren- Morag 2006, Israel26Coronary heart disease but not stroke at entry, secondary analysis of clinical trialModification of diet in renal disease and Cockcroft-Gault>60 (reference); ≤605345; 134091; 7958 (7); 65 (4)207; 804.8 to 8.1Ischaemic stroke and transient ischaemic attacksAge, sex, systolic blood pressure, diabetes mellitus, level of triglycerides, high density lipoprotein level, New York Heart Association functional class, body mass index, peripheral artery disease, current smoking status, antiplatelets, antihypertensive and lipid modifying drugsGood
Kurth 2009, USA27General, female health professionals, no cardiovascular disease at entry, secondary analysis of clinical trialModification of diet in renal disease≥90 (reference); 75 to 89; 60 to 74; <6014 979; 8073; 3572; 13150 for all groups54 (0.1); 55 (0.1); 57 (0.1); 57 (0.2)197; 111; 50; 3112All strokeAge, systolic blood pressure, antihypertensive treatment, smoking, body mass index, alcohol, exercise, total cholesterol level, C reactive protein, use of hormone replacement therapy, diabetes mellitus, and assigned treatmentsGood
Nakayama 2007, Japan28GeneralCockcroft-Gault>70 (reference); 40 to 70; <40555; 1246; 17642; 35; 3555 (9); 65 (7); 76 (7)15; 77; 207.8All strokeAge, sex, systolic blood pressure, body mass index, smoking status, use of antihypertensive drugs, history of cardiovascular disease, hypercholesterolaemia, and diabetes mellitusGood
Nickolas 2008, USA29General, not stroke at entryCockcroft-Gault≥60 (reference); 15 to 592353; 94537632016.5All strokeAge, sex, education, hypertension, low density lipoprotein cholesterol level, diabetes mellitus, prevalent cardiac disease, smoking, and alcohol consumptionGood
Ninomiya 2008, Japan30General, data from 10 community-based cohort studiesModification of diet in renal disease≥90 (reference); 60 to 89; <607206; 14 003; 187539; 56; 558 (12)84; 404; 1047.4All strokeAge, sex, cohort, systolic blood pressure, diabetes mellitus, total cholesterol level, body mass index, and current smoking statusFair
Perkovic 2007, multicountries38Stroke, secondary analysis of clinical trialCockcroft-Gault≥60 (reference); <604314; 175775; 5561 (9); 70 (8)460; 2644All strokeAge, sex, smoking status, diabetes mellitus, systolic blood pressure, body mass index, active versus placebo therapy, and single versus dual agent therapyGood
Perticone 2009, Italy31Postmenopausal women, no cardiovascular disease or diabetes mellitus at entryModification of diet in renal disease≥60 (reference); <601071; 4290; 053 (6); 53 (6)41; 246All strokeAge, smoking (former or never smokers, current smokers), cholesterol level, systolic blood pressure, fasting glucose level, body mass index, menopause, and metabolic syndromeFair
Ruilope 2001, Multicountries32Hypertension cohort, secondary analysis of clinical trialCockcroft-Gault>60 (eference); ≤6015 770; 282157; 3060 (7); 68 (7)211; 773.8All strokeAchieved diastolic and systolic blood pressure, age, gender, smoking habits, previous cardiovascular disease, diabetes mellitus, and total cholesterolGood
Ruilope 2007, multicountries33Hypertension cohort, secondary analysis of clinical trialModification of diet in renal disease and Cockcroft-Gault≥60 (reference); <609214; 599967; 4465 (8); 70 (8)6034.6All strokeAge, sex, coronary heart disease, and left ventricular hypertrophyGood
Shilipak 2001, USA34Postmenopausal women with coronary heart disease, secondary analysis of clinical trialCockcroft-Gault>60 (reference); 40 to 60; <401306; 1135; 3220 for all groups66 (7)70; 93; 514.1All stroke and transient ischaemic attacksAge; race; hypertension; diabetes mellitus; tobacco use; previous coronary artery bypass surgery; body mass index; waist to hip ratio; levels of low density lipoprotein cholesterol, high density lipoprotein cholesterol, triglyceride, and lipoprotein(a); physical activity; lipid lowering drug use; diuretic use; and atrial fibrillationGood
Tonelli 2006, USA and Canada35History of myocardial infarction, secondary analysis of clinical trialModification of diet in renal disease≥60 (reference); <602839; 70789; 7558 (50 to 64); 65 (59 to 70)71; 285All strokeAge, sex, ethnic origin, smoking status, diabetes mellitus, waist to hip circumference ratio, fasting glucose level, haemoglobin concentration, albumin, low density lipoprotein and high density lipoprotein cholesterol levels, triglyceride levels, systolic and diastolic blood pressure, country of treatment (US v Canada), left ventricular ejection fraction, and use of drugs (β blockers, angiotensin converting enzyme inhibitors, aspirin, or pravastatin)Good
Weiner 2004, USA36Combined four population studies (Atherosclerosis Risk in Community Study, Cardiovascular Health Study, Framingham Heart Study, and Framingham Offspring Study)Modification of diet in renal disease≥60 (reference); 15 to 5920 970; 166444; 3356 (11); 68 (11)587; 12510All strokeAge, sex, hypertension, diabetes mellitus, systolic blood pressure, body mass index, total and high density lipoprotein cholesterol level, current smoking status, current alcohol use, left ventricular hypertrophy, high school graduation status, and raceFair
Yang 2008, China37Diabetic population without stroke at entryModification of diet in renal disease≥115 (reference); 60 to 114.9; <60696946573145.4Ischaemic strokeAge; sex; systolic and diastolic blood pressure; haemoglobin A1c; body mass index; haemoglobin concentration; white blood cell count; levels of high density lipoprotein, low density lipoprotein, total cholesterol, and triglyceride; and drug use (blood pressure lowering, cholesterol lowering, insulin, antiplatelet, angiotensin converting enzyme inhibitor, and angiotensin II antagonist)Fair

eGFR=estimated glomerular filtration rate.

Fig 1 Flow of study selection Characteristics of included studies eGFR=estimated glomerular filtration rate.

Main outcome

Pooling results from the random effects model showed that incident stroke increased among patients with an eGFR <60 ml/min/1.73 m2 (relative risk 1.43, 95% confidence interval 1.31 to 1.57, P<0.001; fig 2). The risk of incident stroke did not, however, increase significantly among patients with an eGFR of 60-90 ml/min/1.73 m2 (1.07, 0.98 to 1.17, P=0.15; fig 2). Significant heterogeneity existed between estimates among patients with an eGFR <60 ml/min/1.73 m2 (P<0.001, I2=69%) but not among those with an eGFR of 60-90 ml/min/1.73 m2 (P=0.06, I2=38%). The estimates were similar between the fixed effects model and random effect model.

Fig 2 Risk ratio for association of estimated glomerular filtration rate (eGFR) and risk of stroke in prospective cohort studies. *Subgroups of estimates with eGFR <60 ml/min/1.73 m2. †Subgroups of estimates with eGFR 60-90 ml/min/1.73 m2

Fig 2 Risk ratio for association of estimated glomerular filtration rate (eGFR) and risk of stroke in prospective cohort studies. *Subgroups of estimates with eGFR <60 ml/min/1.73 m2. †Subgroups of estimates with eGFR 60-90 ml/min/1.73 m2

Subgroup analyses

An eGFR <60 ml/min/1.73 m2 was associated with an increased risk of subsequent stroke in all subgroups when estimates were stratified by eGFR reference group, study population type, study design, ethnicity, duration of follow-up, number of participants, equation used to determine eGFR, end points, sex, stroke subtype, different eGFR intervals <60 ml/min/1.73 m2, study quality, and level of adjustment (fig 3). Significant heterogeneity between pooled analyses were noted for studies using an eGFR >60 ml/min/1.73 m2 as the normal reference compared with studies using >90 ml/min/1.73 m2 as normal (1.29, 1.18 to 1.41 v 1.82, 1.53 to 2.16, P for heterogeneity among subgroups <0.001), cohort studies compared with clinical trials (1.59, 1.40 to 1.81 v 1.25, 1.13 to 1.38, P<0.01), Asians compared with non-Asians (1.96, 1.73 to 2.23 v 1.26, 1.16 to 1.35, P<0.001), fatal compared with fatal plus non-fatal stroke (1.97, 1.63 to 2.38 v 1.38, 1.26 to 1.51, P<0.001), eGFR 40-60 ml/min/1.73 m2 v <40 ml/min/1.73 m2 (1.28, 1.04 to 1.56 v 1.77, 1.32 to 2.38, P<0.01), and good study quality compared with fair study quality (1.35, 1.23 to 1.49 v 1.62, 1.33 to 1.97, P=0.01).

Fig 3 Subgroup analyses for comparison between studies reporting associations of estimated glomerular filtration rate (eGFR) <60 ml/min/1.73 m2 with risk of stroke

Fig 3 Subgroup analyses for comparison between studies reporting associations of estimated glomerular filtration rate (eGFR) <60 ml/min/1.73 m2 with risk of stroke A total of 11 studies reported adjusted estimates of the strength of the association, first by age and sex then by other known cardiovascular risk factors—for example, blood pressure, smoking, lipids levels, diabetes. The overall age and sex adjusted summary estimate was 1.64 (95% confidence interval 1.45 to 1.85), which after further adjustment of other known cardiovascular risk factors was reduced to 1.45 (1.26 to 1.68; P for heterogeneity among subgroups 0.01). Otherwise no obvious heterogeneity found between baseline risk populations (general or hypertension only v high cardiovascular risk), duration of follow-up, number of participants, equation used to determine eGFR, stroke subtypes, and sex. Based on the few papers that provided information on the interaction between proteinuria and eGFR, proteinuria did not substantially increase the risk of stroke in patients with an eGFR of <60 or >60 ml/min/1.73 m2 (fig 4).

Fig 4 Interaction between estimated glomerular filtration rate (eGFR) and albuminuria, using groups with eGFR >60 ml/min/1.73 m2 without albuminuria as reference

Fig 4 Interaction between estimated glomerular filtration rate (eGFR) and albuminuria, using groups with eGFR >60 ml/min/1.73 m2 without albuminuria as reference

Publication bias

The funnel plots showed no major asymmetry except for a small degree of publication bias, with a slight under-representation of small studies showing neutral or unexpected protective effects (see web extra fig 2).

Discussion

In this meta-analysis of 21 articles derived from 33 prospective studies of generally good quality, among over 280 000 people experiencing almost 8000 stroke events, we found that patients with a baseline estimated glomerular filtration rate (eGFR) of <60 ml/min/1.73 m2 had a risk of future stroke that was 43% greater than those with a normal baseline eGFR. This relation was consistent across diverse population subgroups—that is, those with or without traditional cardiovascular risk factors. The size and inclusion of only prospectively collected data strengthened the robustness of our findings, as selection bias, recall bias, and reverse causality were unlikely. In addition, all studies included in our meta-analysis reported a multivariate adjusted relative risk, which probably mitigated the possibility of known confounding influencing our results. We used subgroup analyses to assess the varying influence of several factors on the association between eGFR <60 ml/min/1.73 m2 and risk of stroke. The magnitude of risk was larger when studies used an eGFR >90 ml/min/1.73 m2 as reference compared with >60 ml/min/1.73 m2, which raised the possibility that an eGFR of 60-90 ml/min/1.73 m2 may increase the risk of stroke compared with an eGFR >90 ml/min/1.73 m2. Our formal meta-analysis did not, however, show significantly increased risk of incident stroke among patients with an eGFR of 60-90 ml/min/1.73 m2. The explanation could be that such a rate is not sensitive enough as a marker of kidney disease to discriminate risk of stroke. We did, however, find a possible dose-response relation between eGFR and stroke at levels <60 ml/min/1.73 m2—that is, the risk of stroke was significantly greater for eGFR <40 ml/min/1.73 m2 than for levels of 40-60 ml/min/1.73 m2. A meta-analysis based on observational studies cannot prove causality. However, based on these results it may not be unreasonable to regard the presence of a low eGFR as a marker for increased risk of stroke, prompting optimal application of established vascular risk reduction strategies such as control of blood pressure, statin use, and antiplatelet therapy.7 Interestingly we found that Asian people with a low baseline eGFR seemed to be at higher risk of future stroke. Indeed, in Asian populations, hypertension is a major risk factor of both stroke and death from renal causes,39 40 chronic kidney disease further increases the association of blood pressure with stroke,25 and meta-analysis showed that the risk of stroke associated with hypertension is consistently and significantly greater in Chinese than in white people.41 Furthermore, it has been suggested that Asian people tend to develop hypertension at earlier ages than other races,42 and it is conceivable that a longer history of hypertension may cause more profound damage of end organs and vessels thereby leading to a higher likelihood of vascular events within a given study period. A systematic review that linked reduced eGFR with increased risk of coronary heart disease was only among participants in Western countries and so did not have the means of exploring this issue.5 Although most of the studies we analysed adjusted for hypertension or blood pressure, none adjusted for the duration of hypertension, thereby limiting the extent to which we could fully adjust for hypertension as a confounder. As such, this potential disparity between races will need to be more comprehensively explored in future studies. We also observed that the effect of reduced eGFR was more profound on the risk of fatal stroke than on all strokes, which probably points to the association of compromised kidney function with risk factors for generally poor clinical outcomes such as oxidative stress, widespread inflammation, electrolyte derangements, procoagulation, and presence of uraemic toxins.3 In fact, kidney disease even of mild severity has been shown to be an independent predictor of poorer clinical outcomes among people with stroke, including higher risk of all cause mortality and cardiovascular mortality.43 44 Also of note, the presence of albuminuria did not substantially further increase the risk of stroke among patients with a baseline eGFR of <60 or >60 ml/min/1.73 m2. Our result should be interpreted with caution, however, as it was based on just three studies and the rate of albuminuria is low in people without diabetes. A recent meta-analysis showed that compared with people without albuminuria or a low eGFR, those with either condition had a higher risk of cardiovascular death and those with both conditions had the highest risk of cardiovascular death.6 Furthermore, meta-analyses have shown that albuminuria was independently associated with a higher risk of stroke even when the included studies had adjusted for eGFR or serum creatinine level.45 46

Limitations of this meta-analysis

Limitations of this meta-analysis must be considered. Firstly, meta-analyses may be biased if the literature search fails to identify all relevant studies or the selection criteria for including a study are applied in a subjective manner. To minimise these risks we carried out thorough searches across different databases using explicit criteria for study selection, data abstraction, and data analysis. Secondly, compared with studies of good quality, those of fair quality showed a stronger association between reduced eGFR and stroke. When we restricted analysis to good quality studies, the estimate of association slightly decreased. Thirdly, a large amount of heterogeneity was observed in the results of the various studies. Although subanalyses were done to identify this, heterogeneity persisted in many subgroups, suggesting that other factors might explain this result. Meta-regression by average baseline eGFR and other variables could have been a better way of exploring potential sources of heterogeneity. However, most included articles did not provide average baseline eGFR in each eGFR category, which prevented us from exploring further. In those studies that provided both age and sex adjusted and multivariate unadjusted estimates, the association between reduced eGFR and stroke was slightly, but significantly, attenuated after further adjustment. Such an attenuation in effect size suggests that residual confounding may have remained and that the summary result presented here may be a slight overestimation of the true magnitude of the association between reduced eGFR and risk of stroke. Despite these limitations, the results of this systematic review represent the most precise and accurate estimate of the strength of the relation between reduced eGFR and incident stroke currently available.

Implications

Our formal meta-analysis found a significant association between eGFR <60 ml/min/1.73 m2 and increased incident stroke across various populations, after adjustment for established cardiovascular risk factors. None the less, these results possibly underestimated the magnitude of this relation because a reduced eGFR often simultaneously exists with several traditional and novel vascular risk factors. Of major public health interest were our findings that Asian patients with a low eGFR were at higher risk for stroke than their non-Asian counterparts, that below an eGFR level of 60 ml/min/1.73 m2 a dose-response relation with risk of stroke might exist, and that fatal strokes were especially associated with low baseline eGFR. At this juncture, a low baseline eGFR should be seen simply as a risk marker. Established evidence based strategies already proved to mitigate vascular risk, such as reduction of blood pressure, when promptly and appropriately applied are likely to avert future strokes in people with renal insufficiency. Specific patient subgroups with a low eGFR, such as people of Asian race, may particularly benefit. Most patients with an estimated glomerular filtration rate (eGFR) <60 ml/min/1.73 m2 die of cardiovascular causes and not progression to end stage renal disease A recent meta-analysis showed that an eGFR <60 ml/min/1.73 m2 was associated with all cause and cardiovascular mortality in the general population People with a baseline eGFR <60 ml/min/1.73 m2 had an independent risk of future stroke that was 43% greater than those with a normal baseline eGFR A dose-response relation between eGFR <60 ml/min/1.73 m2 and risk of stroke was observed, with risk of stroke being significantly greater for levels <40 ml/min/1.73 m2 compared with 40-60 ml/min/1.73 m2 Asian patients with an eGFR <60 ml/min/1.73 m2 were at higher risk of stroke than people of non-Asian ethnicity
  45 in total

1.  Blood pressure is a major risk factor for renal death: an analysis of 560 352 participants from the Asia-Pacific region.

Authors:  Conall M O'Seaghdha; Vlado Perkovic; Tai Hing Lam; Stella McGinn; Federica Barzi; Dong Feng Gu; Alan Cass; Il Suh; Paul Muntner; Graham G Giles; Hirotsugu Ueshima; Mark Woodward; Rachel Huxley
Journal:  Hypertension       Date:  2009-07-13       Impact factor: 10.190

2.  Proteinuria and stroke: a meta-analysis of cohort studies.

Authors:  Toshiharu Ninomiya; Vlado Perkovic; Christine Verdon; Federica Barzi; Alan Cass; Martin Gallagher; Meg Jardine; Craig Anderson; John Chalmers; Jonathan C Craig; Rachel Huxley
Journal:  Am J Kidney Dis       Date:  2008-12-13       Impact factor: 8.860

3.  Kidney function and risk of cardiovascular disease and mortality in women: a prospective cohort study.

Authors:  Tobias Kurth; Paul E de Jong; Nancy R Cook; Julie E Buring; Paul M Ridker
Journal:  BMJ       Date:  2009-06-29

4.  Mortality risks for all causes and cardiovascular diseases and reduced GFR in a middle-aged working population in Taiwan.

Authors:  Ting-Yuan David Cheng; Sung-Feng Wen; Brad C Astor; Xuguang Grant Tao; Jonathan M Samet; Chi Pang Wen
Journal:  Am J Kidney Dis       Date:  2008-08-15       Impact factor: 8.860

5.  Renal function predicts cardiovascular outcomes in southern Italian postmenopausal women.

Authors:  Francesco Perticone; Angela Sciacqua; Raffaele Maio; Maria Perticone; Irma Laino; Rosamaria Bruni; Serena Di Cello; Giulia Galiano Leone; Laura Greco; Francesco Andreozzi; Giorgio Sesti
Journal:  Eur J Cardiovasc Prev Rehabil       Date:  2009-08

6.  The association between kidney disease and cardiovascular risk in a multiethnic cohort: findings from the Northern Manhattan Study (NOMAS).

Authors:  Thomas L Nickolas; Minesh Khatri; Bernadette Boden-Albala; Krzysztof Kiryluk; Xiaodong Luo; Palma Gervasi-Franklin; Myunghee Paik; Ralph L Sacco
Journal:  Stroke       Date:  2008-07-10       Impact factor: 7.914

7.  Impact of kidney disease and blood pressure on the development of cardiovascular disease: an overview from the Japan Arteriosclerosis Longitudinal Study.

Authors:  Toshiharu Ninomiya; Yutaka Kiyohara; Yosuke Tokuda; Yasufumi Doi; Hisatomi Arima; Akiko Harada; Yasuo Ohashi; Hirotsugu Ueshima
Journal:  Circulation       Date:  2008-12-16       Impact factor: 29.690

8.  Relationship between blood pressure category and incidence of stroke and myocardial infarction in an urban Japanese population with and without chronic kidney disease: the Suita Study.

Authors:  Yoshihiro Kokubo; Satoko Nakamura; Tomonori Okamura; Yasunao Yoshimasa; Hisashi Makino; Makoto Watanabe; Aya Higashiyama; Kei Kamide; Katsuyuki Kawanishi; Akira Okayama; Yuhei Kawano
Journal:  Stroke       Date:  2009-05-28       Impact factor: 7.914

9.  Impact of proteinuria and glomerular filtration rate on risk of thromboembolism in atrial fibrillation: the anticoagulation and risk factors in atrial fibrillation (ATRIA) study.

Authors:  Alan S Go; Margaret C Fang; Natalia Udaltsova; Yuchiao Chang; Niela K Pomernacki; Leila Borowsky; Daniel E Singer
Journal:  Circulation       Date:  2009-03-02       Impact factor: 29.690

10.  Reduced glomerular filtration rate and its association with clinical outcome in older patients at risk of vascular events: secondary analysis.

Authors:  Ian Ford; Vladimir Bezlyak; David J Stott; Naveed Sattar; Chris J Packard; Ivan Perry; Brendan M Buckley; J Wouter Jukema; Anton J M de Craen; Rudi G J Westendorp; James Shepherd
Journal:  PLoS Med       Date:  2009-01-20       Impact factor: 11.069

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  112 in total

1.  Presence of baseline prehypertension and risk of incident stroke: a meta-analysis.

Authors:  M Lee; J L Saver; B Chang; K-H Chang; Q Hao; B Ovbiagele
Journal:  Neurology       Date:  2011-09-28       Impact factor: 9.910

2.  Home blood pressure level and decline in renal function among treated hypertensive patients: the J-HOME-Morning Study.

Authors:  Kazuki Ishikura; Taku Obara; Masahiro Kikuya; Michihiro Satoh; Miki Hosaka; Hirohito Metoki; Hidekazu Nishigori; Nariyasu Mano; Masaaki Nakayama; Yutaka Imai; Takayoshi Ohkubo
Journal:  Hypertens Res       Date:  2015-10-29       Impact factor: 3.872

Review 3.  Cognitive impairment and risk of future stroke: a systematic review and meta-analysis.

Authors:  Meng Lee; Jeffrey L Saver; Keun-Sik Hong; Yi-Ling Wu; Hsing-Cheng Liu; Neal M Rao; Bruce Ovbiagele
Journal:  CMAJ       Date:  2014-08-25       Impact factor: 8.262

4.  Postoperative neurological complications and risk factors for pre-existing silent brain infarction in elderly patients undergoing coronary artery bypass grafting.

Authors:  Asuka Ito; Tomoko Goto; Kengo Maekawa; Tomoko Baba; Yasunori Mishima; Kazuo Ushijima
Journal:  J Anesth       Date:  2012-01-26       Impact factor: 2.078

5.  Heart disease and stroke statistics--2014 update: a report from the American Heart Association.

Authors:  Alan S Go; Dariush Mozaffarian; Véronique L Roger; Emelia J Benjamin; Jarett D Berry; Michael J Blaha; Shifan Dai; Earl S Ford; Caroline S Fox; Sheila Franco; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Mark D Huffman; Suzanne E Judd; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Rachel H Mackey; David J Magid; Gregory M Marcus; Ariane Marelli; David B Matchar; Darren K McGuire; Emile R Mohler; Claudia S Moy; Michael E Mussolino; Robert W Neumar; Graham Nichol; Dilip K Pandey; Nina P Paynter; Matthew J Reeves; Paul D Sorlie; Joel Stein; Amytis Towfighi; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner
Journal:  Circulation       Date:  2013-12-18       Impact factor: 29.690

Review 6.  Chronic kidney disease in the pathogenesis of acute ischemic stroke.

Authors:  Bharath Chelluboina; Raghu Vemuganti
Journal:  J Cereb Blood Flow Metab       Date:  2019-08-01       Impact factor: 6.200

7.  Incident Atrial Fibrillation and the Risk of Stroke in Adults with Chronic Kidney Disease: The Stockholm CREAtinine Measurements (SCREAM) Project.

Authors:  Juan Jesus Carrero; Marco Trevisan; Manish M Sood; Peter Bárány; Hong Xu; Marie Evans; Leif Friberg; Karolina Szummer
Journal:  Clin J Am Soc Nephrol       Date:  2018-07-20       Impact factor: 8.237

8.  Comparison of Associations of Reduced Estimated Glomerular Filtration Rate With Stroke Outcomes Between Hypertension and No Hypertension.

Authors:  Xianwei Wang; Yilong Wang; Uptal D Patel; Huiman Xie Barnhart; Zixiao Li; Hao Li; Chunxue Wang; Xingquan Zhao; Liping Liu; Yongjun Wang; Daniel T Laskowitz
Journal:  Stroke       Date:  2017-04-24       Impact factor: 7.914

9.  Glomerular filtration rate: A prognostic marker in atrial fibrillation-A subanalysis of the AntiThrombotic Agents Atrial Fibrillation.

Authors:  Riccardo Proietti; Lucio Gonzini; Giovanni Pizzimenti; Antonietta Ledda; Pietro Sanna; Ahmed AlTurki; Vincenzo Russo; Mauro Lencioni
Journal:  Clin Cardiol       Date:  2018-12-04       Impact factor: 2.882

Review 10.  Kidney-brain crosstalk in the acute and chronic setting.

Authors:  Renhua Lu; Matthew C Kiernan; Anne Murray; Mitchell H Rosner; Claudio Ronco
Journal:  Nat Rev Nephrol       Date:  2015-08-18       Impact factor: 28.314

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