Literature DB >> 34854906

Statin Discontinuation and Cardiovascular Events Among Older People in Denmark.

Wade Thompson1,2, Lucas Morin3,4, Dorte Ejg Jarbøl1, Jacob Harbo Andersen5, Martin Thomsen Ernst5, Jesper Bo Nielsen1, Peter Haastrup1, Morten Schmidt6,7, Anton Pottegård2,5.   

Abstract

Importance: Statin use is common in older persons. Given uncertainties in ongoing benefit, changes in health status, and shifting goals of care and preferences, statin discontinuation may be considered in some older persons, although there is currently little evidence to guide this decision. Objective: To evaluate the association between statin discontinuation and the rate of major adverse cardiovascular events (MACE) among people aged 75 years or older who receive long-term statin treatment. Design, Setting, and Participants: This cohort study included all persons in Denmark aged 75 years or older who were treated with statins for at least 5 consecutive years as of January 1, 2011. Participants were followed up until December 31, 2016. Data were analyzed from July to November, 2020. Exposure: Statin discontinuation. Main Outcomes and Measures: Rate of occurrence of MACE and its components (myocardial infarction, ischemic stroke or transient ischemic attack, coronary revascularization, and death due to myocardial infarction or ischemic stroke) in persons continuing statins compared with those discontinuing statins. Confounding adjustment was done using inverse probability of treatment weighting. Analyses were conducted separately for primary prevention (no history of cardiovascular disease) and secondary prevention (history of cardiovascular disease).
Results: The study included 67 418 long-term statin users, including 27 463 in the primary prevention analysis (median age, 79 years [IQR, 77-83 years]; 18 134 [66%] female) and 39 955 in the secondary prevention analysis (median age, 80 years [IQR, 77-84 years]; 18 717 [47%] female). In both primary and secondary prevention analyses, the rate of MACE was higher among persons who discontinued statins compared with those who continued statins. In the primary prevention cohort, the weighted rate difference was 9 per 1000 person-years (95% CI, 5-12 per 1000 person-years) and the adjusted sub-hazard ratio was 1.32 (95% CI, 1.18-1.48), corresponding to 1 excess MACE per 112 persons who discontinued statins per year. In the secondary prevention cohort, the weighted rate difference was 13 per 1000 person-years (95% CI, 8-17 per 1000 person-years) and the adjusted sub-hazard ratio was 1.28 (95% CI, 1.18-1.39), corresponding to 1 excess MACE per 77 persons who discontinued statins per year. Conclusions and Relevance: In this cohort study, among older adults receiving long-term statin treatment, discontinuation of statins was associated with a higher rate of MACE compared with statin continuation in both the primary and the secondary prevention cohorts. These findings suggest a need for robust evidence from randomized clinical trials.

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Year:  2021        PMID: 34854906      PMCID: PMC8640890          DOI: 10.1001/jamanetworkopen.2021.36802

Source DB:  PubMed          Journal:  JAMA Netw Open        ISSN: 2574-3805


Introduction

Statins are recommended both in persons with no history of cardiovascular disease who are at moderate or high risk of a future cardiovascular event (primary prevention) and in those with a history of cardiovascular disease, such as prior myocardial infarction (MI) or ischemic stroke (secondary prevention). The prevalence of statin use ranges from approximately 10% to 60% among persons aged 80 years or older depending on the setting.[1] People may start taking statins in midlife and continue treatment for many years.[2] Over this time, they may develop additional chronic diseases and their goals of care and treatment preferences may change.[3,4] As such, guidelines suggest individualized decision-making about statin use in older persons.[5,6,7,8,9,10] This can involve consideration of discontinuation, especially in the context of serious illness and frailty.[5,7,11,12] Discontinuation of statins appears to be common clinical practice.[13] Among older persons, there has been uncertainty about the benefit of statins for primary prevention and for the treatment of frail older persons and those with chronic multimorbidity,[5,7,14] although some recent studies[15,16,17,18] suggest possible benefit among older persons. There remains limited evidence on the potential effects of discontinuing long-term statin use. Existing studies have been conducted among persons with mean ages in the 60s or 70s[19,20,21] and in specific contexts, particularly in palliative care[20] and for exclusively or predominantly primary prevention.[19,21,22] Given the lack of randomized clinical trials (RCTs) on statin discontinuation, real-world observational data can provide important evidence to support clinical decision-making.[23] The aim of our study was to examine the association of statin discontinuation with the rate of major adverse cardiovascular events (MACE) among individuals aged 75 years or older who were prescribed long-term statins for primary and secondary prevention.

Methods

This was a nationwide cohort study in Denmark that compared the incidence of MACE among people aged 75 years or older who discontinued statin therapy with those who continued treatment, with up to 6 years of follow-up. The study was approved by Statistics Denmark, the Danish Data Protection Agency, and the University of Southern Denmark Research and Innovation Organization. Approval from the ethics committee and informed consent was not required according to section 14 of the Act on Research Ethics Review of Health Research Projects[24] because the study was based solely on register data. This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.

Data Sources

The data for this study were obtained from the Danish Health Data Authority. We obtained data on redeemed medications from the Danish National Prescription Registry[25] and diagnoses from the Danish National Patient Registry, which includes primary and secondary diagnoses for a hospitalization or hospital visit (specialist, hospital-based outpatient care) and procedures.[26] Data on cohabitation status, age, and sex were from the Danish Population Registry.[27] Information on deaths was obtained from the Danish Register of Causes of Death.[28]

Population

The population of interest was all Danish residents aged 75 years or older who received long-term statin treatment as of January 1, 2011, defined as persons who had filled at least 1 statin prescription annually between January 1, 2006, and December 31, 2010, and had a medication possession ratio (MPR) of 70% or greater over this period (the MPR is the ratio of the days’ supply of a medication over a particular period to the number of days in that period).[29] Analyses were conducted separately for people treated with statins for secondary prevention (history of cardiovascular disease [January 1, 1995, to December 31, 2010 (baseline)], including MI, ischemic heart disease, angina, peripheral artery disease, ischemic stroke, and transient ischemic attack) and those taking statins for primary prevention (no history of cardiovascular disease).

Exposures

At cohort entry (January 1, 2011), all individuals were assigned to the continuation group (continuers) and contributed time for statin continuation until either discontinuation, death, or the end of the observation period (December 31, 2016). Those who, during follow-up, did not fill another statin prescription during the number of days covered by their previous prescription plus a 180-day grace period were classified as discontinuers. The length of the grace period (180 days) was selected to minimize the risk of exposure misclassification that could arise from irregular drug filling patterns and was based on previous exploratory work.[30] Individuals were assigned to the discontinuation group on the day after the end of the grace period and contributed time to the discontinuation group until either statin therapy reinitiation (on the day of refill), death, or December 31, 2016.

Outcomes

The primary outcome was MACE, a composite of MI, ischemic stroke or transient ischemic attack, coronary revascularization procedure (percutaneous coronary intervention and/or coronary artery bypass graft),[31] or death from myocardial infarction or ischemic stroke as underlying cause of death). Each of these 4 individual events were defined as secondary outcomes. Follow-up began on June 30, 2011, corresponding to January 1, 2011, plus 180 days, because people could only be classified as discontinuers after a 180-day grace period. People could only experience the first event for each type of secondary outcome, but individuals who experienced 1 type of event (other than death) were still followed up for other types of secondary outcomes. Death from any cause other than MI or ischemic stroke was treated as a competing event.[32,33]

Statistical Analysis

Data were analyzed from July to November, 2020. We reported crude incidence rates and rate differences per 1000 person-years for all outcomes. To adjust for measured differences between statin continuers and discontinuers, we first calculated propensity scores at cohort entry (January 1, 2011) based on age, sex, cohabitation status, statin intensity, number of medications, chronic comorbidities, and concomitant medications (eTables 1-4 and eFigure 1 in the Supplement). Propensity score distribution curves were used to evaluate the degree of conditional exchangeability (eFigures 2 and 3 in the Supplement).[34] We then used inverse probability treatment weighting with stabilized weights to create a pseudo-population in which statin discontinuation was independent of measured covariates.[35] Covariate balance in the weighted cohorts was evaluated using standardized mean differences (eTables 5 and 6 in the Supplement).[36] We used competing-risk regression models (Fine-Gray subdistribution hazard models) to evaluate outcomes, which incorporated the competing risk of death from causes other than MI or stroke. The relative difference in occurrence of outcomes between groups was thereafter estimated as propensity score–weighted sub–hazard ratios (HRs) with 95% CIs.[37] Analyses were performed using Stata, version 16 (StataCorp LLC). We conducted prespecified sensitivity analyses (eTables 7-12 in the Supplement) by varying the definition of prevalent use (increasing the MPR requirement to ≥80% and ≥90% and removing the MPR requirement). We also shortened the grace period used to define discontinuation (from 180 to 30 and 90 days). Furthermore, we adjusted for confounding using high-dimensional propensity scores based on age, sex, statin intensity, cohabitation status, and the 500 most common diagnoses and drugs.[38,39] Finally, we calculated the E-value[40] for MACE in the main analysis, to identify the influence of unmeasured confounders in our analysis. The E-value is the minimum strength of association that an unmeasured confounder would need to have with both the treatment (statin discontinuation) and the outcome to fully explain away the observed association between the treatment and outcome after adjustment for the measured covariates.[40] In nonprespecified post hoc analyses (eTables 13-20 in the Supplement), we analyzed percutaneous coronary intervention and coronary artery bypass graft separately. We also compared the incidence of general practitioner visits and incidence of mortality from causes other than MI or stroke in the discontinuation and continuation groups, described use of other cardiovascular medications leading to statin discontinuation, and calculated the annual incidence of MACE. We conducted nonprespecified post hoc analyses for all-cause mortality (using a Cox proportional hazards regression model), noncardiovascular mortality, and a negative control outcome (hip fracture) using the same parameters as in the main analysis. Finally, we stratified analyses by sex.

Results

Characteristics of the Cohorts

We identified a total of 67 418 long-term statin users as of January 1, 2011. This included 27 463 (41%) persons without a history of cardiovascular disease (primary prevention) and 39 955 (59%) with a history of cardiovascular disease (secondary prevention). In the primary prevention cohort, the median age was 79 years (IQR, 77-83 years), and 18 134 persons (66%) were female. In the secondary prevention cohort, the median age was 80 years (IQR, 77-84 years), and 18 717 persons (47%) were female. The median duration of follow-up in the main analysis was 5.5 years (IQR, 2.8-5.5 years) in the primary prevention cohort and 4.2 years (IQR, 1.8-5.5 years) in the secondary prevention cohort. The discontinuation rate over the follow-up period the primary prevention cohort was 30% (89 311 of 279 463 persons) and in the secondary prevention cohort was 25% (9 853 of 39 955 persons). In the primary prevention group, 3085 discontinuers (37%) were censored for restarting statins, and in the secondary prevention group, 3541 (36%) were censored for restarting. Table 1 and Table 2 show full details of the study population, including comorbidities and coprescriptions.
Table 1.

Baseline Characteristics of the Primary Prevention Cohort

CharacteristicIndividuals, No. (%)
Overall (N = 27 463)Before weightingAfter weighting
Discontinuation group (n = 8311)Continuation group (n = 19 152)Discontinuation group (n = 8310)Continuation group (n = 19 153)
Sex
Female18 134 (66.0)5854 (70.4)12 280 (64.1)5487 (66.0)12 648 (66.0)
Male9329 (34.0)2457 (29.6)6872 (35.9)2823 (34.0)6506 (34.0)
Age, y
Median (IQR)79 (77-83)80 (77-83)79 (76-82)79 (77-83)79 (77-83)
75-8423 233 (84.6)6704 (80.7)16 529 (86.3)7049 (84.8)16 169 (84.4)
≥854230 (15.4)1607 (19.3)2623 (13.7)1261 (15.2)2984 (15.6)
Statin intensity
Low or moderate26 408 (96.2)8027 (96.6)18 381 (96.0)7995 (96.2)18 420 (96.2)
High1055 (3.8)284 (3.4)771 (4.0)315 (3.8)734 (3.8)
Unique medications
Median (IQR)6 (4-9)6 (4-8)6 (4-9)6 (4-9)6 (4-9)
0-48885 (32.4)2866 (34.5)6019 (31.4)2691 (32.4)6172 (32.2)
5-913 366 (48.7)3935 (47.3)9431 (49.2)4006 (48.2)9352 (48.8)
≥105212 (19.0)1510 (18.2)3702 (19.3)1613 (19.4)3629 (18.9)
Comorbidities
Dementia2858 (10.4)1098 (13.2)1760 (9.2)870 (10.5)1999 (10.4)
Diabetes9524 (34.7)2539 (30.5)6985 (36.5)2885 (34.7)6643 (34.7)
Atrial fibrillation or flutter2819 (10.3)777 (9.3)2042 (10.7)853 (10.3)1967 (10.3)
Heart failure1186 (4.3)337 (4.1)849 (4.4)361 (4.3)829 (4.3)
Hypertension9347 (34.0)2752 (33.1)6595 (34.4)2845 (34.2)6528 (34.1)
Parkinson disease196 (0.7)75 (0.9)121 (0.6)60 (0.7)137 (0.7)
COPD5691 (20.7)1730 (20.8)3961 (20.7)1722 (20.7)3970 (20.7)
Depression565 (2.1)189 (2.3)376 (2.0)174 (2.1)396 (2.1)
SchizophreniaNRNRNRNRNR
Cancer4687 (17.1)1399 (16.8)3288 (17.2)1420 (17.1)3269 (17.1)
Medications
Low-dose aspirin12 480 (45.4)3549 (42.7)8931 (46.6)3785 (45.5)8708 (45.5)
ADP receptor inhibitors297 (1.1)93 (1.1)204 (1.1)90 (1.1)208 (1.1)
Anticoagulants2304 (8.4)583 (7.0)1721 (9.0)695 (8.4)1608 (8.4)
Thiazides7796 (28.4)2314 (27.8)5482 (28.6)2360 (28.4)5437 (28.4)
Spironolactone901 (3.3)256 (3.1)645 (3.4)270 (3.2)627 (3.3)
β blockers7432 (27.1)2063 (24.8)5369 (28.0)2244 (27.0)5180 (27.0)
ACEIs or ARBs16 297 (59.3)4651 (56.0)11 646 (60.8)4936 (59.4)11 368 (59.4)
CCBs10 122 (36.9)2849 (34.3)7273 (38.0)3070 (36.9)7064 (36.9)
Antidepressants4374 (15.9)1369 (16.5)3005 (15.7)1331 (16.0)3058 (16.0)
Antipsychotics678 (2.5)194 (2.3)484 (2.5)207 (2.5)474 (2.5)
NSAIDs (nonselective)3789 (13.8)1163 (14.0)2626 (13.7)1148 (13.8)2642 (13.8)
COX-2 inhibitors38 (0.1)10 (0.1)28 (0.1)11 (0.1)26 (0.1)
Cohabitation status
Alone12 559 (45.7)3603 (43.4)8956 (46.8)3794 (45.7)8753 (45.7)
Cohabiting14 904 (54.3)4708 (56.6)10 196 (53.2)4516 (54.3)10 400 (54.3)

Abbreviations: ACEIs, angiotensin converting enzyme inhibitors; ADP, adenosine diphosphate receptor; ARBs, angiotensin receptor blockers; CCB, calcium channel blocker; COPD, chronic obstructive pulmonary disease; COX-2, cyclooxygenase-2; NR, not reported (numbers were <10); NSAIDs, non-steroidal anti-inflammatory drugs.

Table 2.

Baseline Characteristics of the Secondary Prevention Cohort

CharacteristicIndividuals, No. (%)
Overall (N = 39 955)Before weightingAfter weighting
Discontinuation group (n = 9853)Continuation group (n = 30 102)Discontinuation group (n = 9855)Continuation group (n = 30 102)
Sex
Female18 717 (46.8)5261 (53.4)13 456 (44.7)4606 (46.7)14 098 (46.8)
Male21 238 (53.2)4592 (46.6)16 646 (55.3)5249 (53.3)16 005 (53.2)
Age, y
Median (IQR)80 (77-84)81 (78-85)80 (77-83)80 (77-84)80 (77-84)
75-8431 931 (79.9)7372 (74.8)24 559 (81.6)7837 (79.5)24 109 (80.1)
≥858024 (20.1)2481 (25.2)5543 (18.4)2018 (20.5)5993 (19.9)
Statin intensity
Low or moderate37 469 (93.8)9376 (95.2)28 093 (93.3)9239 (93.7)28 229 (93.8)
High2486 (6.2)477 (4.8)2009 (6.7)616 (6.3)1873 (6.2)
Unique medications
Median (IQR)8 (5-11)8 (5-11)8 (5-11)8 (5-11)8 (5-11)
0-46905 (17.3)1855 (18.8)5050 (16.8)1732 (17.6)5162 (17.1)
5-919 605 (49.1)4795 (48.7)14 810 (49.2)4770 (48.4)14 845 (49.3)
≥1013 445 (33.7)3203 (32.5)10 242 (34.0)3354 (34.0)10 095 (33.5)
Comorbidities
Dementia4108 (10.3)1313 (13.3)2795 (9.3)1022 (10.4)3102 (10.3)
Diabetes11 702 (29.3)2575 (26.1)9127 (30.3)2900 (29.4)8822 (29.3)
Atrial fibrillation or flutter9079 (22.7)2077 (21.1)7002 (23.3)2267 (23.0)6849 (22.8)
Heart failure8373 (21.0)1873 (19.0)6500 (21.6)2076 (21.1)6312 (21.0)
Hypertension21 903 (54.8)5344 (54.2)16 559 (55.0)5401 (54.8)16 500 (54.8)
Parkinson412 (1.0)105 (1.1)307 (1.0)104 (1.1)311 (1.0)
COPD11 286 (28.2)2708 (27.5)8578 (28.5)2800 (28.4)8509 (28.3)
Depression1551 (3.9)405 (4.1)1146 (3.8)384 (3.9)1170 (3.9)
Schizophrenia16 (0.0)NRNRNR12 (0.0)
Cancer7254 (18.2)1738 (17.6)5516 (18.3)1783 (18.1)5465 (18.2)
Medications
Low dose aspirin30 562 (76.5)7294 (74.0)23 268 (77.3)7532 (76.4)23 021 (76.5)
ADP receptor inhibitors3263 (8.2)700 (7.1)2563 (8.5)812 (8.2)2460 (8.2)
Anticoagulants5745 (14.4)1241 (12.6)4504 (15.0)1436 (14.6)4332 (14.4)
Thiazides9160 (22.9)2279 (23.1)6881 (22.9)2247 (22.8)6897 (22.9)
Spironolactone2687 (6.7)553 (5.6)2134 (7.1)658 (6.7)2024 (6.7)
β blockers20 849 (52.2)4684 (47.5)16 165 (53.7)5128 (52.0)15 701 (52.2)
ACEIs or ARBs23 018 (57.6)5471 (55.5)17 547 (58.3)5687 (57.7)17 341 (57.6)
CCBs14 505 (36.3)3454 (35.1)11 051 (36.7)3572 (36.2)10 930 (36.3)
Antidepressants7958 (19.9)2001 (20.3)5957 (19.8)1954 (19.8)5992 (19.9)
Antipsychotics1007 (2.5)251 (2.5)756 (2.5)254 (2.6)761 (2.5)
NSAIDs (nonselective)4697 (11.8)1220 (12.4)3477 (11.6)1154 (11.7)3538 (11.8)
COX-2 inhibitors50 (0.1)12 (0.1)38 (0.1)12 (0.1)38 (0.1)
Cohabitation status
Alone19 571 (49.0)4483 (45.5)15 088 (50.1)4836 (49.1)14 748 (49.0)
Cohabitating20 384 (51.0)5370 (54.5)15 014 (49.9)5019 (50.9)15 355 (51.0)

Abbreviations: ACEIs, angiotensin converting enzyme inhibitors; ADP, adenosine diphosphate receptor; ARBs, angiotensin receptor blockers; COPD, chronic obstructive pulmonary disease; CCB, calcium channel blocker; COX-2, cyclooxygenase-2; NR, not reported (numbers were <10); NSAIDs, non-steroidal anti-inflammatory drugs.

Abbreviations: ACEIs, angiotensin converting enzyme inhibitors; ADP, adenosine diphosphate receptor; ARBs, angiotensin receptor blockers; CCB, calcium channel blocker; COPD, chronic obstructive pulmonary disease; COX-2, cyclooxygenase-2; NR, not reported (numbers were <10); NSAIDs, non-steroidal anti-inflammatory drugs. Abbreviations: ACEIs, angiotensin converting enzyme inhibitors; ADP, adenosine diphosphate receptor; ARBs, angiotensin receptor blockers; COPD, chronic obstructive pulmonary disease; CCB, calcium channel blocker; COX-2, cyclooxygenase-2; NR, not reported (numbers were <10); NSAIDs, non-steroidal anti-inflammatory drugs.

Primary Prevention Cohort

In the primary prevention cohort, the crude incidence rate of MACE was 33 per 1000 person-years (95% CI, 30-36 per 1000 person-years) in the discontinuation group and 24 per 1000 person-years (95% CI, 23-25 per 1000 person-years) in the continuation group (Table 3 and Figure 1). The crude difference in the rate of MACE was 9 per 1000 person-years (95% CI, 5-12 per 1000 person-years), and the weighted rate difference was 9 per 1000 person-years (95% CI, 5-12 per 1000 person-years), corresponding to 1 excess MACE per 112 discontinuers per year. The rate of occurrence of MACE was higher in the discontinuation group than in the continuation group (HR, 1.32; 95% CI 1.18-1.48). The rates of occurrence of MI (HR, 1.37; 95% CI, 1.11-1.70), ischemic stroke or transient ischemic attack (HR, 1.33; 95% CI, 1.14-1.54), and death due to MI or stroke (HR, 1.43; 95% CI, 1.11-1.85) were higher in the discontinuation group than in the continuation group, and there was no significant difference in the rate of occurrence of revascularization (HR, 1.12; 95% CI, 0.82-1.52) (Table 3).
Table 3.

Summary of Results for the Primary and Secondary Prevention Cohorts

OutcomeDiscontinuation groupContinuation groupCrude rate difference, per 1000 person-years (95% CI)Weighted rate difference, per 1000 person-years (95% CI)aSub–hazard ratio (95% CI)a
Crude eventsCrude incidence rate, per 1000 person-years (95% CI)Crude eventsCrude incidence rate, per 1000 person-years (95% CI)
Primary prevention
Person-years of follow-upb11 709NA103 664NANANANA
MACE38233 (30 to 36)248124 (23 to 25)9 (5 to 12)9 (5 to 12)1.32 (1.18 to 1.48)
MI1059 (7 to 11)6926 (6 to 7)2 (0 to 4)2 (1 to 4)1.37 (1.11 to 1.70)
Stroke23019 (17 to 22)139013 (13 to 14)6 (4 to 9)6 (3 to 8)1.33 (1.14 to 1.54)
Revascularization procedure474 (3 to 5)4774 (4 to 5)−1 (−2 to 1)0 (−1 to 2)1.12 (0.82 to 1.52)
Death from MI or stroke766 (5 to 8)4334 (4 to 4)2 (1 to 4)2 (1 to 4)1.43 (1.11 to 1.85)
Secondary prevention
Person-years of follow-upb12 350NA133 374NANANANA
MACE73960 (56 to 64)647249 (47 to 50)11 (7 to 16)13 (8 to 17)1.28 (1.18 to 1.39)
MI24819 (17 to 21)232617 (16 to 17)2 (−0 to 5)4 (1 to 6)1.25 (1.09 to 1.43)
Stroke38230 (27 to 33)295321 (21 to 22)8 (5 to 12)8 (5 to 11)1.34 (1.20 to 1.50)
Revascularization procedure746 (4 to 7)141610 (10 to 11)−5 (−6 to −3)−3 (−5 to −2)0.73 (0.57 to 0.93)
Death from MI or stroke21116 (14 to 18)138710 (9 to 10)6 (4 to 8)6 (4 to 8)1.57 (1.35 to 1.83)

Abbreviations: MACE, major adverse cardiovascular events; MI, myocardial infarction; NA, not applicable.

Adjusted estimates were obtained using an inverse probability of treatment weighted pseudo-population with stabilized weights. Weights incorporated propensity scores calculated from baseline age, sex, number of concomitant medications, individual medications, comorbidities, statin intensity, and cohabitation status.

Person-years of follow-up for MACE outcome.

Figure 1.

Cumulative Incidence Curve for the Outcome of Major Adverse Cardiovascular Events in the Primary Prevention Cohort

Abbreviations: MACE, major adverse cardiovascular events; MI, myocardial infarction; NA, not applicable. Adjusted estimates were obtained using an inverse probability of treatment weighted pseudo-population with stabilized weights. Weights incorporated propensity scores calculated from baseline age, sex, number of concomitant medications, individual medications, comorbidities, statin intensity, and cohabitation status. Person-years of follow-up for MACE outcome.

Secondary Prevention Cohort

In the secondary prevention cohort, the crude incidence rate of MACE was 60 per 1000 person-years (95% CI, 56-64 per 1000 person-years) in the discontinuation group and 49 per 1000 person-years (95% CI, 47-50 per 1000 person-years) in the continuation group (Table 3 and Figure 2). The crude difference in the rate of MACE was 11 per 1000 person-years (95% CI, 7-16 per 1000 person-years), and the weighted rate difference was 13 per 1000 person-years (95% CI, 8-17 per 1000 person-years), corresponding to 1 excess MACE per 77 discontinuers per year. The rate of occurrence of MACE was higher in the discontinuation group than in the continuation group (HR, 1.28; 95% CI, 1.18-1.39). The rates of occurrence of MI (HR, 1.25; 95% CI, 1.09-1.43), ischemic stroke or transient ischemic attack (HR, 1.34; 95% CI, 1.20-1.50), and death due to MI or stroke (HR, 1.57; 95% CI, 1.35-1.83) were higher in the discontinuation group than in the continuation group (Table 3). The rate of occurrence of revascularization was lower in the discontinuation group (HR, 0.73; 95% CI, 0.57-0.93), which was attributable to a lower rate of coronary artery bypass graft (eTable 13 in the Supplement).
Figure 2.

Cumulative Incidence Curve for the Outcome of Major Adverse Cardiovascular Events in the Secondary Prevention Cohort

Supplementary Analyses

The results of all supplementary and post hoc analyses are given in eTables 7 to 20 in the Supplement. In the primary prevention cohort, modifying the grace period for discontinuation, changing the MPR requirement to 80% or removing it completely, or using high-dimensional propensity score had little effect on the results (eTables 7-12 in the Supplement). However, increasing the MPR requirement to 90% before cohort entry lowered the adjusted HR for MACE to 1.21 (95% CI, 1.04-1.39). Decreasing the grace period to 30 days led to a nonsignificant decrease in HR for revascularizations (0.77; 95% CI, 0.53-1.11) but a higher HR for death due to MI or stroke (HR, 1.98; 95% CI, 1.44-2.72). The E-value for MACE in the main analysis was 1.97, indicating that an unmeasured confounder would need to be associated with discontinuation and MACE by approximately 2-fold beyond the measured confounders to fully explain away our results. In the secondary prevention cohort, post hoc analyses showed a lower rate of coronary artery bypass graft but a higher rate of percutaneous coronary intervention in the discontinuation group compared with the continuation group; however, neither difference was statistically significant (eTable 13 in the Supplement). Modifying the MPR requirement or using a high-dimensional propensity score did not substantially alter our results (eTables 7-12 in the Supplement). The E-value for MACE in the main analysis was 1.88. In our post hoc analyses, statin discontinuation was associated with a higher rate of all-cause mortality and noncardiovascular mortality (eTable 18 in the Supplement). In our negative control outcome analysis (eTable 19 in the Supplement), statin discontinuation was associated with a higher rate of hip fracture in both the primary and the secondary prevention cohorts. In the sex-stratified analyses (eTable 20 in the Supplement), discontinuation of statin therapy prescribed for primary prevention was associated with a slightly higher absolute rate of MACE in men compared with women, whereas the rates in the secondary prevention cohort were similar between men and women.

Discussion

In this cohort study, statin discontinuation was associated with a higher rate of occurrence of MACE compared with statin continuation among older people receiving long-term statin treatment for both primary and secondary prevention. Although the relative effect estimates for statin discontinuation were similar in both cohorts, the overall rate of cardiovascular events and the magnitude of the rate difference between discontinuation and continuation were higher in the secondary prevention cohort than among statin users without a history of cardiovascular disease.

Comparison to Existing Literature

Few studies have explored the effects of statin discontinuation in older persons. One RCT demonstrated that, among patients with advanced illness and a physician-estimated life expectancy of less than a year, statin discontinuation did not increase risk of mortality over 60 days.[20] Although useful, that study did not inform clinical decision-making for older adults who are, in general, not nearing the end of life. In a recent observational study conducted in France[19] that included older persons aged 75 years with no history of cardiovascular disease, statin discontinuation was associated with an increased risk of hospitalizations for cardiovascular events during the 2.5-year follow-up (HR, 1.33; 95% CI, 1.18-1.50). Rea et al[22] also reported that statin discontinuation was associated with an increased risk of cardiovascular events (HR, 1.14; 95% CI, 1.03-1.26) in a predominantly primary prevention population. Our findings about the association between statin discontinuation and the rate of MACE cannot be directly compared with evidence on statin initiation during older age; our study included long-term statin users (who are not fully comparable to treatment-naive patients), and the time to benefit associated with initiating therapy may be substantially longer than the time to harm associated with withdrawing that same medication. Furthermore, long-term statin use may have a substantial treatment benefit that persists after a trial has ended (ie, legacy benefit), as suggested by a recent meta-analysis of RCTs.[41] Survey studies and qualitative literature suggest that patient preferences, physical frailty, and remaining life expectancy can influence prescribers’ decisions about statin discontinuation.[42,43] Therefore, confounding by indication and prognosis bias are 2 important concerns in drug discontinuation studies relying on observational data. For instance, statin discontinuation may reflect an overall preference for less medical care and a willingness to shift from preventive or curative goals of care to a more palliative approach. Poor health and severe frailty may also be associated with an increased likelihood of statin discontinuation[43,44] and with a reduced likelihood of receiving revascularization procedures, particularly coronary artery bypass graft.[45,46,47] Our post hoc analyses support this hypothesis because we found a lower rate of coronary artery bypass graft in the discontinuation group than in the continuation group, especially in the secondary prevention cohort. The finding that statin discontinuation was associated with a higher risk of hip fracture (negative control analysis) and with higher rates of all-cause and noncardiovascular mortality also support the hypothesis that statin discontinuation is a marker of frailty and poorer health in general.

Implications and Future Research

Our results provide important evidence on statin discontinuation in people receiving long-term statin treatment for both primary and secondary prevention. Clinicians and policy makers should be aware of a possible increased risk of MACE associated with discontinuation of long-term statin treatment. This finding may be of clinical and public health importance because of the magnitude of excess risk (1 excess MACE per 112 discontinuers per year in the primary prevention cohort and 1 MACE per 77 discontinuers per year in the secondary prevention cohort). Consideration of absolute risk is particularly important for shared decision-making in the context of statin use for individual patients. Statin discontinuation occurs frequently in practice,[1] and thus evidence to inform shared decision-making on this topic may be useful to clinicians. Our findings of a higher rate of cardiovascular events among those discontinuing statins, along with the findings of previous studies,[19,22] highlight the importance of RCTs on this topic. To our knowledge, there is currently only 1 RCT[23] that has investigated the effects of statin discontinuation for primary prevention among persons aged 75 years or older. Additional RCTs investigating statin initiation in primary prevention for older persons are also ongoing and should provide additional context about statins in this population.[48,49]

Limitations

This study has limitations. First, no data were available about the specific reasons that prompted statin discontinuation. The discontinuation patterns that we captured in the data may represent either a purposeful and planned deprescribing process or patients stopping therapy on their own without consulting a health care professional. Second, we did not incorporate time-varying confounding into our analysis. Cardiovascular medications may have changed during the study period, or people may have developed additional comorbidities that may have influenced statin discontinuation and the risk of acute cardiovascular outcomes. Third, statin exposure was defined based on redeemed prescriptions only. Unmeasured confounding is a concern in any non-RCT. However, the sensitivity analysis using the high-dimensional propensity score (adjusting for the 500 most common medications and comorbidities) did not change the results. We could only incorporate potential confounders available to us in Danish registers and thus could not include lifestyle factors, patient preferences, and other potential confounders. Frailty may be a particularly relevant confounder. A negative control outcome analysis revealed an association of statin discontinuation with hip fracture, highlighting that discontinuation may be a marker of frailty in general. However, an E-value for 2 of the main analyses suggested that an unmeasured confounder would need to be associated with discontinuation and with MACE by 2-fold each beyond the measured confounders to explain away our results.[40] The validity of cardiovascular diagnosis and procedure codes is another potential consideration; however, the validity of cardiovascular diagnosis[50] and procedure codes[31] has been demonstrated to be excellent in Danish health registers. Thus, we do not believe that this affected our results. In addition, our post hoc analyses of all-cause mortality and noncardiovascular mortality should be interpreted with caution because these outcomes are particularly prone to confounding by indication and thus were not selected as prespecified outcomes.

Conclusions

In this cohort study, among older Danes receiving long-term statin treatment, discontinuation was associated with a higher rate of MACE compared with statin continuation. Although the relative effect of statin discontinuation was similar in the primary and secondary prevention cohorts, the rate difference was larger in the secondary prevention cohort. These findings suggest a need for further evidence from RCTs on this topic to inform shared decision-making in clinical practice.
  45 in total

1.  Safety and benefit of discontinuing statin therapy in the setting of advanced, life-limiting illness: a randomized clinical trial.

Authors:  Jean S Kutner; Patrick J Blatchford; Donald H Taylor; Christine S Ritchie; Janet H Bull; Diane L Fairclough; Laura C Hanson; Thomas W LeBlanc; Greg P Samsa; Steven Wolf; Noreen M Aziz; David C Currow; Betty Ferrell; Nina Wagner-Johnston; S Yousuf Zafar; James F Cleary; Sandesh Dev; Patricia S Goode; Arif H Kamal; Cordt Kassner; Elizabeth A Kvale; Janelle G McCallum; Adeboye B Ogunseitan; Steven Z Pantilat; Russell K Portenoy; Maryjo Prince-Paul; Jeff A Sloan; Keith M Swetz; Charles F Von Gunten; Amy P Abernethy
Journal:  JAMA Intern Med       Date:  2015-05       Impact factor: 21.873

Review 2.  High-risk percutaneous coronary intervention: how to define it today?

Authors:  Vincenzo De Marzo; Domenico D'amario; Mattia Galli; Rocco Vergallo; Italo Porto
Journal:  Minerva Cardioangiol       Date:  2018-04-11       Impact factor: 1.347

3.  Decision Making for Older Adults With Multiple Chronic Conditions: Executive Summary for the American Geriatrics Society Guiding Principles on the Care of Older Adults With Multimorbidity.

Authors:  Cynthia Boyd; Cynthia Daisy Smith; Frederick A Masoudi; Caroline S Blaum; John A Dodson; Ariel R Green; Amy Kelley; Daniel Matlock; Jennifer Ouellet; Michael W Rich; Nancy L Schoenborn; Mary E Tinetti
Journal:  J Am Geriatr Soc       Date:  2019-03-10       Impact factor: 5.562

Review 4.  Evaluation and treatment of older patients with hypercholesterolemia: a clinical review.

Authors:  Timo E Strandberg; Laura Kolehmainen; Alpo Vuorio
Journal:  JAMA       Date:  2014-09-17       Impact factor: 56.272

5.  Inception and deprescribing of statins in people aged over 80 years: cohort study.

Authors:  Martin Gulliford; Rathi Ravindrarajah; Shota Hamada; Stephen Jackson; Judith Charlton
Journal:  Age Ageing       Date:  2017-11-01       Impact factor: 10.668

6.  Efficacy and safety of statin therapy in older people: a meta-analysis of individual participant data from 28 randomised controlled trials.

Authors: 
Journal:  Lancet       Date:  2019-02-02       Impact factor: 202.731

7.  Patient Characteristics and General Practitioners' Advice to Stop Statins in Oldest-Old Patients: a Survey Study Across 30 Countries.

Authors:  Milly A van der Ploeg; Sven Streit; Wilco P Achterberg; Erna Beers; Arthur M Bohnen; Robert A Burman; Claire Collins; Fabio G Franco; Biljana Gerasimovska-Kitanovska; Sandra Gintere; Raquel Gomez Bravo; Kathryn Hoffmann; Claudia Iftode; Sanda Kreitmayer Peštić; Tuomas H Koskela; Donata Kurpas; Hubert Maisonneuve; Christan D Mallen; Christoph Merlo; Yolanda Mueller; Christiane Muth; Ferdinando Petrazzuoli; Nicolas Rodondi; Thomas Rosemann; Martin Sattler; Tjard Schermer; Marija Petek Šter; Zuzana Švadlenková; Athina Tatsioni; Hans Thulesius; Victoria Tkachenko; Péter Torzsa; Rosy Tsopra; Canan Tuz; Bert Vaes; Rita P A Viegas; Shlomo Vinker; Katharine A Wallis; Andreas Zeller; Jacobijn Gussekloo; Rosalinde K E Poortvliet
Journal:  J Gen Intern Med       Date:  2019-01-16       Impact factor: 5.128

8.  Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples.

Authors:  Peter C Austin
Journal:  Stat Med       Date:  2009-11-10       Impact factor: 2.373

Review 9.  Recommendations for (Discontinuation of) Statin Treatment in Older Adults: Review of Guidelines.

Authors:  Milly A van der Ploeg; Carmen Floriani; Wilco P Achterberg; Jonathan M K Bogaerts; Jacobijn Gussekloo; Simon P Mooijaart; Sven Streit; Rosalinde K E Poortvliet; Yvonne M Drewes
Journal:  J Am Geriatr Soc       Date:  2019-10-30       Impact factor: 5.562

10.  Importance of Considering Competing Risks in Time-to-Event Analyses: Application to Stroke Risk in a Retrospective Cohort Study of Elderly Patients With Atrial Fibrillation.

Authors:  Husam Abdel-Qadir; Jiming Fang; Douglas S Lee; Jack V Tu; Eitan Amir; Peter C Austin; Geoffrey M Anderson
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2018-07
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1.  Association Between Statin Use and Progression of Arterial Stiffness Among Adults With High Atherosclerotic Risk.

Authors:  Yan-Feng Zhou; Yanxiu Wang; Guodong Wang; Zhen Zhou; Shuohua Chen; Tingting Geng; Yan-Bo Zhang; Yi Wang; Jun-Xiang Chen; An Pan; Shouling Wu
Journal:  JAMA Netw Open       Date:  2022-06-01

2.  Data Errors in Results Section.

Authors: 
Journal:  JAMA Netw Open       Date:  2022-01-04

Review 3.  Cholesterol-lowering drugs for high-risk hypercholesterolemia patients with COVID-19 while on Paxlovid™ therapy.

Authors:  Alpo Vuorio; Petri T Kovanen; Frederick Raal
Journal:  Future Virol       Date:  2022-08-02       Impact factor: 3.015

Review 4.  Platelet Redox Imbalance in Hypercholesterolemia: A Big Problem for a Small Cell.

Authors:  Alessandro Morotti; Cristina Barale; Elena Melchionda; Isabella Russo
Journal:  Int J Mol Sci       Date:  2022-09-28       Impact factor: 6.208

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