Effectiveness of statins in chronic kidney disease

Similar documents
The Journal of Rheumatology Volume 39, no. 1

C oronary heart disease (CHD) is a leading cause of morbidity

Cite this article as: BMJ, doi: /bmj f (published 24 March 2005)

Prescribing Antiplatelet Medicine and Subsequent Events After Intracerebral Hemorrhage

NATIONAL INSTITUTE FOR HEALTH AND CLINICAL EXCELLENCE

Macrovascular Residual Risk. What risk remains after LDL-C management and intensive therapy?

Zhao Y Y et al. Ann Intern Med 2012;156:

rosuvastatin, 5mg, 10mg, 20mg, film-coated tablets (Crestor ) SMC No. (725/11) AstraZeneca UK Ltd.

SUPPLEMENTAL MATERIALS

The CARI Guidelines Caring for Australians with Renal Impairment. Cardiovascular Risk Factors

Chapter 3: Morbidity and Mortality

Lucia Cea Soriano 1, Saga Johansson 2, Bergur Stefansson 2 and Luis A García Rodríguez 1*

egfr > 50 (n = 13,916)

A: Epidemiology update. Evidence that LDL-C and CRP identify different high-risk groups

Diabetes Mellitus: A Cardiovascular Disease

NATIONAL INSTITUTE FOR HEALTH AND CLINICAL EXCELLENCE

Supplemental Table 1. Standardized Serum Creatinine Measurements. Supplemental Table 3. Sensitivity Analyses with Additional Mortality Outcomes.

Statins in the Treatment of Type 2 Diabetes Mellitus: A Systematic Review.

Supplementary Online Content

Finland and Sweden and UK GP-HOSP datasets

APPENDIX B: LIST OF THE SELECTED SECONDARY STUDIES

Felix Vallotton Ball (1899) LDL-C management in Asian diabetes: moderate vs. high intensity statin --- a lesson from EMPATHY study

Managing Chronic Kidney Disease: Reducing Risk for CKD Progression

Is Lower Better for LDL or is there a Sweet Spot

Supplementary Online Content

Supplementary Appendix

Chronic kidney disease (CKD) has received

Antihypertensive Trial Design ALLHAT

Diabetes treatments and risk of heart failure, cardiovascular disease, and all cause mortality: cohort study in primary care

LDL cholesterol and cardiovascular outcomes?

Chapter 4: Cardiovascular Disease in Patients with CKD

9/29/2015. Primary Prevention of Heart Disease: Objectives. Objectives. What works? What doesn t?

LEADER Liraglutide and cardiovascular outcomes in type 2 diabetes

Protecting the heart and kidney: implications from the SHARP trial

Blood Pressure Treatment Goals

Dyslipidemia in women: Who should be treated and how?

Table S1. Read and ICD 10 diagnosis codes for polymyalgia rheumatica and giant cell arteritis

Chapter 3: Morbidity and Mortality in Patients with CKD

The Latest Generation of Clinical

Beta-blockers in Patients with Mid-range Left Ventricular Ejection Fraction after AMI Improved Clinical Outcomes

John J.P. Kastelein MD PhD Professor of Medicine Dept. of Vascular Medicine Academic Medial Center / University of Amsterdam

Role of Clopidogrel in Acute Coronary Syndromes. Hossam Kandil,, MD. Professor of Cardiology Cairo University

Disclosures. Diabetes and Cardiovascular Risk Management. Learning Objectives. Atherosclerotic Cardiovascular Disease

CLINICAL OUTCOME Vs SURROGATE MARKER

2 Furthermore, quantitative coronary angiography

Declaration of interests. Register-based research on safety and effectiveness opportunities and challenges 08/04/2018

Prescription Rates of Cardiovascular Medications in a Large UK Primary Care Chronic Kidney Disease Cohort

Review of guidelines for management of dyslipidemia in diabetic patients

Hypertension targets: sorting out the confusion. Brian Rayner, Division of Nephrology and Hypertension, University of Cape Town

Figure 1 LVH: Allowed Cost by Claim Volume (Data generated from a Populytics analysis).

Title: Statins for haemodialysis patients with diabetes? Long-term follow-up endorses the original conclusions of the 4D study.

New Lipid Guidelines. PREVENTION OF CARDIOVASCULAR DISEASE IN WOMEN: Implications of the New Guidelines for Hypertension and Lipids.

Improve the Adherence, Save the Life

A nationwide population-based study. Pai-Feng Hsu M.D. Shao-Yuan Chuang PhD

Since 1980, obesity has more than doubled worldwide, and in 2008 over 1.5 billion adults aged 20 years were overweight.

Discontinuation and restarting in patients on statin treatment: prospective open cohort study using a primary care database

DECLARATION OF CONFLICT OF INTEREST

What have We Learned in Dyslipidemia Management Since the Publication of the 2013 ACC/AHA Guideline?

Preventive Cardiology Scientific evidence

The Clinical Unmet need in the patient with Diabetes and ACS

Supplement materials:

Online Supplementary Material

STATINS FOR PAD Long - term prognosis

Risk of mortality and adverse cardiovascular outcomes in type 2 diabetes: a comparison of patients treated with sulfonylureas and metformin

10-Year Mortality of Older Acute Myocardial Infarction Patients Treated in U.S. Community Practice

Antiplatelet Therapy in Primary CVD Prevention and Stable Coronary Artery Disease. Καρακώστας Γεώργιος Διευθυντής Καρδιολογικής Κλινικής, Γ.Ν.

Beta-blockers for coronary heart disease in chronic kidney disease

Medical therapies to reduce chronic kidney disease progression and cardiovascular risk: lipid lowering therapy

Primary Prevention of Stroke

Declaration of Conflict of Interest. No potential conflict of interest to disclose with regard to the topics of this presentations.

Diabetes and New Meds for Cardiovascular Risk Reduction. F. Dwight Chrisman, MD, FACC. Disclosures: BI Boehringer Ingelheim speaker

MANAGEMENT OF HYPERTENSION: TREATMENT THRESHOLDS AND MEDICATION SELECTION

Cost-effectiveness of evolocumab (Repatha ) for hypercholesterolemia

ESM1 for Glucose, blood pressure and cholesterol levels and their relationships to clinical outcomes in type 2 diabetes: a retrospective cohort study

The University of Mississippi School of Pharmacy

Digoxin And Mortality in Patients With Atrial Fibrillation With and Without Heart Failure: Does Serum Digoxin Concentration Matter?

An introduction to Quality by Design. Dr Martin Landray University of Oxford

SUPPLEMENTAL MATERIAL

CVD risk assessment using risk scores in primary and secondary prevention

ESC Geoffrey Rose Lecture on Population Sciences Cholesterol and risk: past, present and future

A. Sicras-Mainar 1*, L. Sánchez-Álvarez 2, R. Navarro-Artieda 3 and J. Darbà 4

Bias and confounding special issues. Outline for evaluation of bias

Percutaneous Coronary Intervention versus Coronary Artery Bypass Graft in Acute Coronary Syndrome patients with Renal Dysfunction

Συμπεράσματα από τις νέες μελέτες για την αρτηριακή υπέρταση (SPRINT,PATHAY 2,HOPE 3)

Stratified Cost-Effectiveness Analysis (with implications for sub-group analysis) (and applications to value-based pricing)

Heart Failure and COPD: Common Partners, Common Problems. Nat Hawkins Liverpool Heart and Chest Hospital

Diabetes, Diet and SMI: How can we make a difference?

2013 ACC/AHA Guidelines on the Assessment of Atherosclerotic Cardiovascular Risk: Overview and Commentary

National Diabetes Audit, Report 2a: Complications and Mortality (complications of diabetes) England and Wales 13 July 2017

Long-term outcomes in nondiabetic chronic kidney disease

A bs tr ac t. n engl j med 357;15 october 11,

Update on CVD and Microvascular Complications in T2D

Usefulness of a large automated health records database in pharmacoepidemiology

ATP IV: Predicting Guideline Updates

National Horizon Scanning Centre. Irbesartan (Aprovel) for prevention of cardiovascular complications in patients with persistent atrial fibrillation

RESEARCH. Unintended effects of statins in men and women in England and Wales: population based cohort study using the QResearch database

The CARI Guidelines Caring for Australians with Renal Impairment. Control of Hypercholesterolaemia and Progression of Diabetic Nephropathy

2013 Cholesterol Guidelines. Anna Broz MSN, RN, CNP, AACC Adult Certified Nurse Practitioner North Ohio Heart, Inc.

RESEARCH. Katrina Wilcox Hagberg, 1 Hozefa A Divan, 2 Rebecca Persson, 1 J Curtis Nickel, 3 Susan S Jick 1. open access

hyperlipidemia in CKD DR MOJGAN MORTAZAVI ASSOCIATE PROFESSOR OF NEPHROLOGY ISFAHAN KIDNEY DISEASES RESEARCH CENTER

Transcription:

Q J Med 2012; 105:641 648 doi:10.1093/qjmed/hcs031 Advance Access Publication 29 February 2012 Effectiveness of statins in chronic kidney disease X. SHENG 1, M.J. MURPHY 2, T.M. MACDONALD 1 and L. WEI 1 From the 1 Medicines Monitoring Unit, Division of Medical Sciences and 2 Department of Biochemical Medicine, Division of Clinical and Population Sciences and Education, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK Address correspondence to Dr Li Wei, Medicines Monitoring Unit, Division of Medical Sciences, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK. email: li@memo.dundee.ac.uk Received 10 October 2011 and in revised form 24 January 2012 Summary Background: Previous studies show that statins reduce total cholesterol (TC) concentration by both 21% in primary prevention (PP) and secondary prevention (SP) in clinical trials and by 24% in the general population. There are few data about the efficacy of statins on TC concentration and cardiovascular (CV) outcome in patients with chronic kidney disease (CKD). We evaluated the reduction of TC concentration and subsequent risk of CV morbidity and mortality with statins in CKD patients. Methods: A population-based cohort study using a record-linkage database in Tayside, Scotland. A total of 2369 patients who had a primary diagnosis of CKD from Scottish Morbidity Record data or biochemistry database (serum creatinine of 220 mmol/l or higher) and who had at least two separate TC measurements between 1993 and 2007 were studied. Patients were categorized into statin-exposed and statin-unexposed groups according to statin use status during the follow-up. They were also classified into PP (n = 1325) and SP (n = 1044) cohorts at the entry date. The main outcomes were TC concentration change from baseline, CV events [Antiplatelet Trialist s Collaboration (APTC)] and all-cause mortality during the follow-up. Cox regression models, in which statin use was a timedependent variable, were employed to assess the risk of outcome and adjusted for other known confounders. Results: Statin-associated TC concentrations decreased by 0.59 mmol/l (12%) in PP cohort and 0.56 mmol/l (13%) in SP cohort from 4.77 and 4.48 mmol/l at baselines, respectively. Statin use was associated with a reduced risk of APTC events, CV mortality or all-cause mortality in PP {adjusted hazard ratio (HR), 0.65 [95% confidence interval (CI) 0.48 0.88]; 0.73 (95% CI 0.52 0.98); 0.59 (95% CI 0.48 0.73)} and SP [adjusted HR, 0.66 (95% CI 0.52 0.84); 0.60 (95% CI 0.47 0.77); 0.56 (95% CI 0.47 0.68)], respectively. Conclusion: Statin use reduced TC concentrations by 13% in patients with CKD. Statins were protective of APTC events, CV mortality and all-cause mortality in patients with or without established CV disease. Introduction Chronic kidney disease (CKD) is a worldwide public health concern and it is estimated that 8.5% of the population have stages 3 5 CKD in the UK. 1 Patients with any stage of CKD have an increased risk of developing cardiovascular (CV) disease, 2 4 and are more likely to die from cardiovascular disease (CVD) than to progress to end-stage kidney failure. 5 8 Dyslipidemia occurs often in CKD patients and contributes to both CVD and worsening renal function. 9 Statins reduce incident and recurrent CV events in trial population. 10 In trials of CKD, statins reduced low density lipoprotein (LDL) cholesterol by the same amount as in those! The Author 2012. Published by Oxford University Press on behalf of the Association of Physicians. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

642 X. Sheng et al. without CKD. 11 13 Recently two meta-analyses of randomized controlled trials (RCTs) indicated that there was a reduction of recurrent CV events with statin use in patients with any stage of CKD, and a reduction in all-cause and CV mortality only in patients with less severe CKD. 11 12 The benefit of statins on the primary prevention (PP) of CV events was not observed in a subgroup analysis with small number CKD patients. 10 The main weakness of these studies was the small-scale and short follow-up. Low density lipoprotein-c is rarely measurement in clinical practice in the UK and doctors make treatment decisions based on total cholesterol (TC) plus or minus high density lipoprotein measurements. We have shown that TC reductions with lipid-lowering drugs were almost as good as low density lipoprotein-c as a guide to therapy in the statin trials 14 and that TC can be used with confidence in the absence of low density lipoprotein-c. 15 In the present study, we investigated the impact of statins on TC concentration and on the primary and secondary prevention (SP) of Antiplatelet Trialist s Collaboration (APTC) events and all-cause mortality in CKD patients in the setting of normal care. Methods We performed a cohort study in Tayside, Scotland using the Medicines Monitoring (MEMO) Unit record-linked database. The MEMO database covers a geographically compact population and serves about 400 000 patients in the National Health Service (NHS) in Tayside, Scotland. It has all-dispensed prescription data in the Tayside community from 1989 onward. The data collection methods have previously been described. 16 In brief, MEMO contains several data sets including all dispensed community prescriptions, hospital discharge data, biochemistry data and other data; these data are linked by a unique patient identifier, the community health index number. Data are anonymized for the purposes of research as approved by the Caldicott Guardians. This project was also approved by the Tayside Committee on Research Medical Ethics. Study population The study population consisted of residents of Tayside who were registered with a general practitioner between January 1993 and December 2007 and remained resident in Tayside or died during the study period. Study subjects Study subjects were those with a primary diagnosis of CKD between January 1993 and December 2007. They were identified from the following databases: Scottish Morbidity Record 1 (SMR01) data coded either as 585 or 403 according to the 9th revision of International Classification of Disease (ICD9) or N18 according to the 10th revision (ICD10) 17 and regional biochemistry database (serum creatinine of 5220 mmol/l). The date of the first diagnosis of CKD was used as the entry date. These subjects had at least two TC measurements within a minimum time interval of 30 days during the follow-up. They were categorized into statin-exposed and statinunexposed groups according to whether or not they were taking statin treatment during the follow-up. Patients who used statins prior to the study entry were excluded from the study. Subjects who were prescribed other lipid-lowering drugs after the entry date or within 180 days prior to the entry date were excluded. The cohort was also classified into PP and SP cohorts in the analysis according to whether they had established CVD [stroke, transient ischemic attack (TIA), myocardial infarction (MI), angina and heart failure (HF)] prior to the entry date. TC measurements Serum TC measurements were obtained from the regional biochemistry database. Baseline TC concentration was the concentration measured on the nearest date to the entry date. This date was in the range of within 1 year before or within 30 days after the entry date. Follow-up TC concentration met the following criteria: (i) on or within 180 days prior to the incident or recurrent CV admission; (ii) the last available TC measurement during follow-up in patients without CV admission; and (iii) at least 30 days after the statin treatment in the statin-exposed group. Outcome variables The primary study outcome was TC concentration change from baseline, and the secondary outcomes were incident or recurrent APTC events and all-cause mortality during the follow-up. We used the APTC end point of non-fatal MI (ICD9: 410; ICD10: I21), non-fatal stroke (ICD9: 431, 434.9, 436; ICD10: I61, I63, I64) or CV death (ICD9: 390 459; ICD10: I00 I99) as the primary CV end points. They were ascertained from SMR01 data according to the ICD9 or ICD10 codes and occurred at least 30 days after statin treatment in the statin-exposed group or after the entry date in the statin-unexposed group. All-cause mortality data were obtained from the General Register Office for

Effectiveness of statins in CKD 643 Scotland. Same criteria to TC measurement for CV outcome were applied to the all-cause mortality outcome. Covariates The covariates were consisted of patient characteristics (age at entry to the study, gender, socioeconomic status and TC concentration at baseline), use of medications at baseline including analgesics, corticosteroids, non-steroidal anti-inflammatory drugs (NSAIDs) and CV drugs of positive inotropic drugs, diuretics, antiarrhythmic drugs, b-adrenoceptor blocking drugs, drugs used in hypertension and HF, nitrates, calcium-channel blockers and other antianginal drugs, anticoagulants, antiplatelet drugs, comorbidities of diabetes mellitus, angina, TIA or HF. The Scottish Index of Multiple Deprivation (SIMD) was used as a measure of socioeconomic status. 18 Statistical analysis Data were summarized as mean (SD) for continuous variables and numbers of subjects (percentage) for categorical variables. To examine differences in baseline characteristics between the groups, 2 and t-tests were performed. TC concentration changes were calculated as baseline TC concentration minus follow-up TC concentration. In the statin group, patients started statin treatment at different times during the follow-up period. Therefore, the time between the date of study entry and the date of first statin prescription is immortal. To control this immortal time bias, a Cox regression model with a time-dependent variable of statin treatment was constructed to analyze the time to CV admission and separately for all-cause mortality and adjusted for potential confounders. Data were expressed as hazard ratios (HRs) with 95% confidence intervals (CIs). The Cox model assumptions were checked before the analysis. Sensitivity analyzes were performed in patients who had at least two high density lipoprotein-c concentration measurements. All analyses were carried out using SAS version 9.1. All P-values were two-sided. Results PP Figure 1 shows a flowchart of the patients in the study. The PP cohort consisted of 1325 CKD patients (740 in the statin-exposed group and 585 in the statin-unexposed group). Patients in the statin-exposed group were more likely to be younger, taking medications of analgesics, corticosteroids and CV drugs, and had more diabetes than those in the statin-unexposed group (Table 1). Statin-associated TC concentration fell by 0.59 mmol/l (95% CI 0.48 0.70) (12%) from the baseline of 4.77 mmol/l (SD 1.38) to follow-up of 4.18 mmol/l (SD 1.17) (Figure 2a). TC concentration also fell by 3% in the statin-unexposed group. Statins had a similar effect on TC concentration reduction regardless of male or female patients (Figure 2a). There were 99 CV events in the statin-exposed group and 109 in the statin-unexposed group during the 2301 and 1408 person-years (PYs) follow-up, with the crude incidence of APTC events per 100 PYs of 4.30 (95% CI 3.53 5.24) and 7.75 (95% CI 6.43 9.33), respectively (Table 3). There were 34 non-fatal MI, 18 non-fatal stroke, 71 CV deaths and 165 all-cause deaths in the statin-treated groups and 34, 22, 98 and 269 in statin-unexposed groups. The crude event rate for each component of APTC and the crude mortality rate in two groups were shown in Table 3. Compared with the statin-unexposed group, statin treatment reduced risk of CV events [adjusted HR, 0.65 (95% CI 0.48 0.88)] (Figure 3). Patients who were older, use of positive inotropic drugs, with hospital admission of angina, TIA or HF had an increased risk of CVD. However, patients who were more affluent, or used analgesics, corticosteroids and NSAIDs carried a lower risk of CVD (Table 2). An effect of statins on CV mortality was observed [adjusted HR, 0.73 (95% CI 0.52 0.98], but not on non-fatal MI or non-fatal stroke (Figure 3). Statin use was associated with 41% reduction in all-cause mortality [adjusted HR, 0.59 (95% CI 0.48 0.73)]. SP A total of 1044 patients (686 statin-exposed and 358 statin-unexposed) with established CVD were included in this cohort. Patients in the statinexposed group were younger, had more diabetes, used more analgesics and corticosteroids and more some CVD drugs (Table 1). Figure 2b shows that there was 13% TC reduction (0.56 mmol/l 95% CI 0.46 0.67) with statin therapy from baseline TC of 4.48 mmol/l (SD 1.35). There was also an 8% TC reduction observed over time in the statinunexposed group. Comparable TC changes in male and female were observed in two groups (Figure 2b). Recurrent CV events occurred in 208 statin-exposed patients and in 157 statin-unexposed patients during 1822 and 640 PYs follow-up time

644 X. Sheng et al. Patients with a primary diagnosis of CKD from 1993 and 2007 (n=12,754) Patients with statin-exposed (n=2,760) Patients with statin-unexposed (n=9,994) Subjects with at least two separate TC measurements. Baseline TC was in the range of within one year before or within 30 days after the entry date. Follow - up TC met the following criteria: (1) on or within 180 days prior to the CV admission; (2) the last available TC measurement during follow -up in patients without the CV admission; (3) at least 30 days after statin use in the statin-exposed group. Patients with statinexposed (n=1,619) Patients with statinunexposed (n=1,055) Excluding subjects with other lipid -lowering drugs after the entry date or within 180 days prior to the entry date (n=141). Excluding subjects with cancer diagnosis (n=122). Excluding Patients moving out the Tayside during the follow -up (n=42). PP cohort (n=740) SP cohort (n=686) PP cohort (n=585) SP cohort (n=358) Figure 1. Flowchart for identification of patients in the statin-exposed and statin-unexposed cohorts. with crude event rates of 11.42 (95% CI 9.97 13.08) per 100 PYs and 24.88 (95% CI 21.31 29.05) per 100 PYs, respectively (Table 3). For the individual APTC components, there were 55 non-fatal MI, 33 non-fatal stroke and 148 CV deaths. There were also 244 all-cause deaths in the statin-exposed group. Correspondingly, 38, 23, 161 and 259 events occurred in the statin-unexposed group. The crude event rates per 100 PYs for each outcome were described in Table 3. A significant risk reduction of 34% in recurrent CV events [adjusted HR, 0.66 (95% CI 0.52 0.84)], 45% in non-fatal MI, 58% in non-fatal stroke, 40% in CV mortality were observed in the statin-exposed group (Figure 3). Older patients and patients with prior hospitalizations of angina, TIA or HF had an increased risk of CVD. In contrast, use of analgesics, b-adrenoceptor blocking drugs, drugs used in hypertension and HF, antiplatelet drugs, corticosteroids and NSAIDs had a reduced risk of CVD (Table 2). The risk of all-cause mortality was reduced by 44% with statin use [adjusted HR, 0.56 (95% CI 0.47 0.68)]. Sensitivity analysis In patients who had high density lipoprotein-c measurements available (PP: 696 in the statin-exposed and 505 in the statin-unexposed group; SP: 610 and 282, respectively) both high density lipoprotein-c

Effectiveness of statins in CKD 645 Table 1 Baseline characteristics of subjects in the PP and SP of CVD Baseline characteristics PP SP Statinexposed n (%) Statinunexposed n (%) P value Statinexposed n (%) Statinunexposed n (%) P-value Number of subjects 740 585 686 358 Age a 67.7 (13.5) 70.2 (15.6) <0.001 73.4 (10.1) 77.2 (9.6) <0.01 Male 387 (52.7) 315 (54.7) 0.50 411 (60.4) 224 (62.8) 0.45 Baseline TC concentration (mmol/l) a 4.77 (1.38) 4.67 (1.20) 0.17 4.48 (1.35) 4.68 (1.32) 0.203 Social economic status 1 (most deprived) 172 (24.1) 150 (26.7) 0.76 201 (30.3) 116 (33.2) 0.47 2 167 (23.4) 125 (22.2) 148 (22.3) 82 (23.5) 3 147 (20.6) 106 (12.9) 111 (16.7) 63 (18.1) 4 108 (15.1) 92 (16.4) 100 (15.1) 46 (13.2) 5 (most affluent) 121 (16.9) 89 (15.8) 104 (15.7) 42 (12.0) Concurrent use of drugs Analgesics 510 (68.9) 358 (61.2) <0.01 504 (73.5) 217 (60.6) <0.01 Positive inotropic drugs 60 (8.1) 67 (11.5) 0.03 146 (21.3) 99 (27.7) 0.02 Diuretics 543 (73.4) 345 (58.9) <0.01 566 (82.5) 281 (78.5) 0.12 Antiarrhythmic drugs 15 (2.0) 13 (2.2) 0.84 48 (7.0) 31 (8.7) 0.34 b-adrenoceptor blocking drugs 341 (46.1) 172 (29.4) <0.01 389 (56.7) 113 (31.4) <0.01 Hypertension and HF 527 (71.2) 261 (44.6) <0.01 495 (72.2) 185 (51.7) <0.01 Nitrates and calcium-channel blockers 524 (70.8) 284 (48.6) <0.01 546 (79.6) 219 (61.2) <0.01 Anticoagulants 99 (13.4) 80 (13.7) 0.83 166 (24.2) 80 (22.4) 0.50 Antiplatelet drugs 433 (58.5) 207 (35.4) <0.001 535 (78.0) 221 (61.7) <0.01 Corticosteroids 248 (33.5) 156 (26.7) <0.001 235 (34.3) 84 (23.5) <0.01 NSAIDs 144 (19.5) 110 (18.8) 0.71 132 (19.2) 58 (16.3) 0.23 Comorbidity Diabetes mellitus 231 (31.2) 115 (19.7) <0.01 209 (30.5) 85 (23.7) 0.02 Angina, TIA and HF 61 (8.2) 38 (6.4) 0.62 239 (34.8) 116 (32.4) 0.44 a Data expressed as mean (SD). concentration increased with statins by 6% from 1.34 mmol/l (SD 0.46) in the PP and by 5% from 1.27 mmol/l (SD 0.43) in the SP at the baselines. Statins had a comparable impact on CV events [PP: 0.61 (95% CI 0.45 0.84); SP: 0.59 (95% CI 0.46 0.78)] and all-cause mortality [PP: 0.62 (95% CI 0.50 0.79); SP: 0.55 (95% CI 0.44 0.68)] in patients with high density lipoprotein-c measurement. Meanwhile, a risk reduction of non-fatal MI, non-fatal stroke or CV mortality in patients with prior CV admission was consistent and the HRs were similar to the main results. High density lipoprotein-c could be used to guide statin use as well as TC in the absence of LDL-C measurements in patients with CKD. Discussion To our knowledge, this is the first population-based study to study the impact of statins on TC concentration and CV outcome among CKD patients in normal clinical care setting. Use of statins was associated with risk reductions of APTC events (non-fatal MI, non-fatal stroke or CV death), CV mortality and all-cause mortality in both PP and SP of CVD. Risk reductions of non-fatal MI and non-fatal stroke were observed in patients with prior CVD. These findings were robust when sensitivity analyzes were performed by taking HDL-C into the consideration or by excluding prevalent statin-exposed patients. Compared with TC lowering with lipid-lowering drugs in the general population that excluded CKD patients (24% reduction) 14 or TC reduction in the PP and SP of statin trials (both of 21% reduction), 15 statin-associated TC reductions were smaller in patients with CKD than the general population. A lower baseline TC concentration in CKD patients than that in the general population appeared to be related to a lower TC reduction with statin therapy. Three meta-analyzes have been done recently. Strippoli et al. 11 analyzed 50 RCTs and found that TC concentration was significantly lower by 19%

646 X. Sheng et al. (a) TC concentration (mmol/l) 6 5 4 3 2 1 P=0.06 P=0.05 P=0.06 Baseline Follow-up 0 Total Male Female Total Male Female Statin-exposed Statin-unexposed (b) TC concentration (mmol/l) 6 5 4 3 2 1 P<0.01 P<0.01 P<0.01 Baseline Follow-up 0 Total Male Female Total Male Female Statin-exposed Statin-unexposed Figure 2. TC concentration changes in the (a) PP and (b) SP of CVD. with statins than with placebo in CKD patients with established CVD. This is numerically larger than our TC reduction in SP (13%). Also, statin treatment reduced the risk of recurrent CV events [relative risk (RR) 0.78 (95% CI 0.73 0.84)] and CV mortality [RR 0.81 (95% CI 0.73 0.90)], but not in all-cause mortality [RR 0.92 (95% CI 0.82 1.03)]. Other two systematic reviews of RCT reported that statins decreased lipid levels in CKD patients requiring dialysis (27%) and not requiring dialysis (23%) 12 13 and these reductions were larger than in our study. Statin use was associated with major mortality benefits [all-cause mortality: RR 0.81 (95% CI 0.74 0.89); CV deaths: RR 0.80 (95% CI 0.70 0.90)] in CKD patients not requiring dialysis, 12 but not in dialysis patients [all-cause mortality: RR 0.95 (95% CI 0.86 1.06); CV mortality: RR 0.96 (95% CI 0.65 1.40)]. 13 The benefit of statins in improving non-fatal CV events was observed in CKD patients not requiring dialysis [RR 0.75 (95% CI 0.66 0.85)] 12 and with hemodialysis [RR 0.86 (95% CI 0.74 0.99)]. 13 But some potential limitations were that all these results were dominated by the results of one large study and there were small number of events in many studies. In general, the effect of statins in CKD patients in these trials was similar to that seen in our study. The major strength of our study is that it was population based with a long follow-up (15 years) and included CKD patients with and without prior CVD. Also the accurate biochemical data of dyslipidemia was taken into account. It is possible that other unmeasured confounders might have influenced the results of our analysis. We used serum creatinine rather than estimated glomerular filtration rate that is a better measurement for renal function to identify patients in the study. We did not consider types of statins, statin dose titration, effects of lifestyles and others in our study. In summary, our study results show that the percentage reduction of TC with statins in CKD is less than the general population. However, statins were associated with reduced risk of incident or recurrent CV events (non-fatal MI, non-fatal stroke or CV death) and improve all-cause mortality in patients with or without established CVD. Conflict of interest: None declared.

Effectiveness of statins in CKD 647 Table 2 Univariate and multivariate analyzes in the PP and SP of CVD Outcome predictor PP SP HR HR HR HR Statins 0.57 (0.43 0.75) 0.65 (0.48 0.88) 0.47 (0.38 0.58) 0.66 (0.52 0.84) Age 1.05 (1.03 1.06) 1.04 (1.03 1.06) 1.03 (1.02 1.04) 1.02 (1.00 1.03) Male/female 1.06 (0.81 1.40) 1.14 (0.85 1.53) 0.83 (0.67 1.02) 0.89 (0.71 1.12) Baseline TC concentration (mmol/l) 0.99 (0.89 1.10) 1.08 (0.96 1.21) 1.00 (0.94 1.08) 1.00 (0.92 1.08) Social economic status 1 (most deprived) 1.00 1.00 1.00 1.00 2 3 0.63 (0.45 0.87) 0.54 (0.38 0.75) 1.08 (0.85 1.37) 0.96 (0.75 1.22) 4 5 (most affluent) 0.78 (0.55 1.08) 0.62 (0.44 0.88) 0.85 (0.65 1.11) 0.78 (0.59 1.02) Concurrent use of drugs Analgesics 0.64 (0.48 0.85) 0.69 (0.50 0.94) 0.49 (0.40 0.61) 0.50 (0.40 0.63) Positive inotropic drugs 1.94 (1.33 2.83) 1.71 (1.11 2.61) 1.28 (1.03 1.60) 0.99 (0.77 1.29) Diuretics 0.95 (0.70 1.27) 0.86 (0.61 1.21) 0.96 (0.72 1.27) 1.10 (0.81 1.49) Antiarrhythmic drugs 1.11 (0.46 2.69) 0.71 (0.29 1.78) 0.80 (0.54 1.19) 0.70 (0.47 1.05) b-adrenoceptor blocking drugs 0.79 (0.60 1.05) 0.78 (0.58 1.05) 0.51 (0.41 0.63) 0.59 (0.47 0.75) Hypertension and HF 0.67 (0.51 0.88) 0.82 (0.60 1.21) 0.55 (0.44 0.68) 0.70 (0.55 0.88) Nitrates and calcium-channel blockers 0.85 (0.64 1.13) 1.03 (0.75 1.41) 0.62 (0.49 0.79) 0.95 (0.73 1.23) Anticoagulants 1.14 (0.79 1.64) 1.01 (0.67 1.53) 0.94 (0.74 1.19) 0.82 (0.61 1.10) Antiplatelet drugs 1.29 (0.97 1.70) 1.24 (0.91 1.68) 0.64 (0.51 0.80) 0.74 (0.56 0.98) Corticosteroids 0.51 (0.37 0.70) 0.68 (0.49 0.95) 0.65 (0.52 0.83) 0.77 (0.60 0.98) NSAIDs 0.50 (0.34 0.73) 0.52 (0.35 0.77) 0.57 (0.43 0.75) 0.67 (0.51 0.89) Comorbidity Diabetes mellitus 0.80 (0.58 1.11) 0.86 (0.61 1.21) 0.97 (0.77 1.21) 1.04 (0.82 1.31) Angina, TIA and HF 2.36 (1.65 3.39) 2.45 (1.68 3.58) 1.45 (1.18 1.78) 1.96 (1.56 2.46) Primary Prevention Secondary Prevention Hazards Ratio (95%CI) APTC events APTC events 0.57 (0.43, 0.75) 0.65 (0.48, 0.88) Non-fatal MI Non-fatal MI 0.65 (0.40, 1.04) 0.71 (0.38, 1.32) Non-fatal stroke Non-fatal stroke 0.48 (0.26, 0.88) 0.55 (0.28, 1.09) CV death CV death 0.48 (0.36, 0.66) 0.73 (0.52, 0.98) All-cause mortality All-cause mortality 0.44 (0.36, 0.53) 0.59 (0.48, 0.73) Hazards Ratio (95%CI) 0.47 (0.38, 0.58) 0.66 (0.52, 0.84) 0.51 (0.34, 0.78) 0.55 (0.32, 0.95) 0.52 (0.30, 0.88) 0.42 (0.20, 0.91) 0.39 (0.31, 0.48) 0.60 (0.47, 0.77) 0.40 (0.33, 0.47) 0.56 (0.47, 0.68).2.5 1 2.2.5 1 Figure 3. and adjusted hazards ratios of APTC events and mortality associated with statins.

648 X. Sheng et al. Table 3 The crude event rate per 100 PYs for each end point PP SP Statin-exposed Statin-unexposed Statin-exposed Statin-unexposed APTC end point 4.30 (3.53 5.24) 7.75 (6.43 9.33) 11.42 (9.97 13.08) 24.88 (21.31 29.05) Non-fatal MI 1.40 (1.00 1.96) 2.21 (1.58 3.09) 2.68 (2.06 3.49) 5.41 (3.93 7.43) Non-fatal stroke 0.73 (0.46 1.16) 1.56 (1.04 2.32) 1.55 (1.10 2.19) 3.22 (2.14 4.84) CV death 3.16 (2.50 3.98) 6.55 (5.38 7.98) 9.45 (8.04 11.10) 23.97 (20.56 27.95) All-cause mortality 7.34 (6.30 8.55) 16.80 (14.92 18.93) 15.11 (13.33 17.13) 36.90 (32.69 41.65) References 1. Stevens PE, O Donoghue DJ, de Lusignan S, van Vlymen J, Klebe B, Middleton R, et al. Chronic kidney disease management in the United Kingdom: NEOERICA project results. Kidney Int 2007; 72:92 9. 2. Sarnak MJ, Levey AS, Schoolwerth AC, Coresh J, Culleton B, Hamm LL, et al. Kidney disease as a risk factor for development of cardiovascular disease: a statement from the American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention. Circulation 2003; 108:2154 69. 3. Perazella MA, Khan S. Increased mortality in chronic kidney disease: a call to action. Am J Med Sci 2006; 331:150 3. 4. Menon V, Sarnak MJ. The epidemiology of chronic kidney disease stages 1 to 4 and cardiovascular disease: a high-risk combination. Am J Kidney Dis 2005; 45:223 32. 5. Drey N, Roderick P, Mullee M, Rogerson M. A population-based study of the incidence and outcomes of diagnosed chronic kidney disease. Am J Kidney Dis 2003; 42:677 84. 6. John R, Webb M, Young A, Stevens PE. Unreferred chronic kidney disease: a longitudinal study. Am J Kidney Dis 2004; 43:825 35. 7. Keith DS, Nichols GA, Gullion CM, Brown JB, Smith DH. Longitudinal follow-up and outcomes among a population with chronic kidney disease in a large managed care organization. Arch Intern Med 2004; 164:659 63. 8. Go AS, Chertow GM, Fan D, McCulloch CE, Hsu CY. Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med 2004; 351:1296 305. 9. Mallamaci F, Zoccali C, Tripepi G, Fermo I, Benedetto FA, Cataliotti A, et al. Hyperhomocysteinemia predicts cardiovascular outcomes in hemodialysis patients. Kidney Int 2002; 61:609 14. 10. Baigent C, Keech A, Kearney PM, Blackwell L, Buck G, Pollicino C, et al. Cholesterol Treatment Trialists (CTT) Collaborators. Efficacy and safety of cholesterol-lowering treatment: prospective meta-analysis of data from 90,056 participants in 14 randomised trials of statins. Lancet 2005; 366:1267 78. 11. Strippoli GF, Navaneethan SD, Johnson DW, Perkovic V, Pellegrini F, Nicolucci A, et al. Effects of statins in patients with chronic kidney disease: meta-analysis and metaregression of randomised controlled trials. BMJ 2008; 336:645 51. 12. Navaneethan SD, Pansini F, Perkovic V, Manno C, Pellegrini F, Johnson DW, et al. HMG CoA reductase inhibitors (statins) for people with chronic kidney disease not requiring dialysis. Cochrane Database Syst Rev 2009(2):CD007784. 13. Navaneethan SD, Nigwekar SU, Perkovic V, Johnson DW, Craig JC, Strippoli GF. HMG CoA reductase inhibitors (statins) for dialysis patients. Cochrane Database Syst Rev 2009(3):CD004289. 14. Murphy MJ, Wei L, Watson AD, MacDonald TM. Real-life reduction in cholesterol with statins, 1993 to 2002. Br J Clin Pharmacol 2008; 65:587 92. 15. Sheng X, Wei L, Murphy MJ, MacDonald TM. Statins and total (not LDL) cholesterol concentration and outcome of myocardial infarction: results from a meta-analysis and an observational study. Eur J Clin Pharmacol 2009; 65:1071 80. 16. Wei L, Parkinson J, Macdonald TM. The Tayside Medicines Monitoring Unit (MEMO). In: Strom BL, ed. Pharmacoepidemiology, 4th edn. Chichester, Wiley, 2005:323 36. 17. Classification of Diseases, Functioning, and Disability. [http://www.cdc.gov/nchs/icd.htm] Accessed 11 January 2012. 18. Scottish Index of Multiple Deprivation. [www.scotland.gov.uk/topics/statistics/simd] Accessed 11 January 2011.