Literature DB >> 34117043

Statin therapy for patients with aortic stenosis who underwent transcatheter aortic valve implantation: a report from a Japanese multicentre registry.

Fumiaki Yashima1,2, Masahiko Hara3, Taku Inohara4, Masahiro Jinzaki5, Hideyuki Shimizu6, Keiichi Fukuda2, Makoto Tanaka2, Masanori Yamamoto7,8, Yusuke Watanabe9, Toru Naganuma10, Shinichi Shirai11, Masahiro Yamawaki12, Norio Tada13, Futoshi Yamanaka14, Kazuki Mizutani15, Hiroshi Ueno16, Minoru Tabata17, Kensuke Takagi18, Kentaro Hayashida2.   

Abstract

OBJECTIVE: Data on statin for patients with aortic stenosis (AS) who underwent transcatheter aortic valve implantation (TAVI) are limited. The present study aimed to evaluate the impact of statin on midterm mortality of TAVI patients.
DESIGN: Observational study.
SETTING: This study included patients with AS from a Japanese multicentre registry who underwent TAVI. PARTICIPANTS: The overall cohort included 2588 patients (84.4±5.2 years); majority were women (69.3%). The Society of Thoracic Surgeons risk score was 6.55% (IQR 4.55%-9.50%), the Euro II score was 3.74% (IQR 2.34%-6.02%) and the Clinical Frailty Scale score was 3.9±1.2.
INTERVENTIONS: We classified patients based on statin at admission and identified 936 matched pairs after propensity score matching. PRIMARY AND SECONDARY OUTCOME MEASURES: The outcomes were all-cause and cardiovascular mortality.
RESULTS: The median follow-up was 660 days. Statin at admission was associated with a significant reduction in all-cause mortality (adjusted HR (aHR) 0.76, 95% CI 0.58 to 0.99, p=0.04) and cardiovascular mortality (aHR 0.64, 95% CI 0.42 to 0.97, p=0.04). In the octogenarians, statin was associated with significantly lower all-cause mortality (aHR 0.87, 95% CI 0.75 to 0.99, p=0.04); however, the impact in the nonagenarians appeared to be lower (aHR 0.84, 95% CI 0.62 to 1.13, p=0.25). Comparing four groups according to previous coronary artery disease (CAD) and statin, there was a significant difference in all-cause mortality, and patients who did not receive statin despite previous CAD showed the worst prognosis (aHR 1.33, 95% CI 1.12 to 1.57 (patients who received statin without previous CAD as a reference), p<0.01).
CONCLUSIONS: Statin for TAVI patients will be beneficial even in octogenarians, but the benefits may disappear in nonagenarians. In addition, statin will be essential for TAVI patients with CAD. Further research is warranted to confirm and generalise our findings since this study has the inherent limitations of an observational study and included only Japanese patients. TRIAL REGISTRATION NUMBER: UMIN000020423. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  adult cardiology; cardiology; coronary heart disease; valvular heart disease

Mesh:

Substances:

Year:  2021        PMID: 34117043      PMCID: PMC8202100          DOI: 10.1136/bmjopen-2020-044319

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


The present study includes the largest number of patients with aortic stenosis who underwent transcatheter aortic valve implantation, assessing the impact of statin therapy on midterm all-cause and cardiovascular mortality. This is the first study to investigate the difference in statin effect among octogenarians and nonagenarians and to evaluate how the impact of statin therapy differed according to the underlying coronary artery disease. All-cause and cardiovascular mortality were analysed using propensity score matching and Cox proportional hazards regression model. Unknown and unmeasurable factors may have confounded the relationship between statin therapy at admission and mortality due to the nature of an observational study. We could not assess intolerance in patients eligible for statin treatment but who could not continue treatment due to statin side effects.

Introduction

Transcatheter aortic valve implantation (TAVI) is an established treatment for severe aortic stenosis (AS).1–4 However, long-term survival after TAVI is not satisfactory, as shown in a meta-analysis including 31 studies, where the 5-year and 7-year survival rates were 48% and 28%, respectively.5 TAVI patients are very elderly and have many cardiovascular comorbidities, such as coronary artery disease (CAD), stroke and peripheral artery disease (PAD).1 2 6 Therefore, adjunctive optimal medical therapy is required to improve prognosis after TAVI. Statin therapy is expected to reduce cardiovascular risk and mortality in patients who have undergone TAVI; however, data on statin therapy for TAVI patients are limited. A report from the Placement of Aortic Transcatheter Valve II (PARTNER II) and Sapien 3 clinical trials or associated registries showed that statin therapy was associated with a lower 2-year mortality rate compared with patients not on statin therapy.7 However, the study did not demonstrate any differences in statin effect among octogenarians and nonagenarians and did not evaluate whether the impact of statin therapy would differ according to the underlying CAD. Therefore, the present study aimed to evaluate the impact of statin therapy on midterm mortality of TAVI patients and its association with age or the underlying CAD, using our Japanese multicentre registry data.

Methods

Study population and design

All patients with severe AS who underwent TAVI at 14 Japanese centres (Keio University Hospital, Teikyo University Hospital, Toyohashi Heart Center, Nagoya Heart Center, New Tokyo Hospital, Kokura Memorial Hospital, Saiseikai Yokohama City Eastern Hospital, Sendai Kousei Hospital, Shonan Kamakura General Hospital, Osaka City University Graduate School of Medicine, Kishiwada Tokushukai Hospital, Toyama University Hospital, Tokyo Bay Urayasu Ichikawa Medical Center and Ogaki Municipal Hospital) between 2013 and 2017 were prospectively included in our TAVI registry (Optimized CathEter vAlvular iNtervention (OCEAN-TAVI) registry).8–10 Informed consent was obtained from all patients. The OCEAN-TAVI registry was registered with the University Hospital Medical Information Network Clinical Trial Registry and accepted by the International Committee of Medical Journal Editors. Patients received transcatheter heart valves (THVs) via either the transfemoral, transapical or transaortic approach. Sapien XT valves, Sapien 3 valves (Edwards Lifesciences, Irvine, California), CoreValve and Evolut R (Medtronic, Minneapolis, Minnesota) were used as THVs. A total of 2588 patients were treated with TAVI between 2013 and 2017. They were categorised into two groups according to statin administration at admission for TAVI procedures (figure 1). We set the primary endpoint as midterm all-cause mortality for up to 3 years. The secondary endpoints included midterm cardiovascular mortality, midterm non-cardiovascular mortality up to 3 years and 30-day all-cause mortality.
Figure 1

Flow chart of patient selection for the present study. OCEAN, Optimized CathEter vAlvular iNtervention; TAVI, transcatheter aortic valve implantation.

Flow chart of patient selection for the present study. OCEAN, Optimized CathEter vAlvular iNtervention; TAVI, transcatheter aortic valve implantation. We performed propensity score (PS) matching, as described below, and compared the endpoints between the two groups in the matched cohort. In addition, we categorised the matched cohort into two cohorts, an octogenarian cohort (80–89 years old) and a nonagenarian cohort (90 years or older), and investigated differences by age in the impact of statin on midterm all-cause mortality. Furthermore, we classified the overall cohort into four groups according to history of CAD and statin treatment at admission and evaluated whether the impact of statin differed according to the underlying CAD condition. We also explored predictors of midterm all-cause mortality in the overall cohort using multivariate analysis. Clinical outcomes including all-cause mortality and cardiovascular mortality were defined according to the Valve Academic Research Consortium-2 consensus document.11

Statistical analysis

Continuous variables are expressed as mean±SD and categorical variables are expressed as percentages. Continuous variables were compared using the Wilcoxon rank-sum test. The χ2 test was used to compare categorical variables. Survival curves up to 3 years were presented as Kaplan-Meier curves, and the log-rank test was used for comparison of the statin and non-statin groups. Cox proportional hazards regression analyses were performed to identify independent correlates for midterm all-cause mortality. PS matching12 13 was used to account for differences in baseline characteristics. PS was calculated for each patient using a logistic regression model to predict stratification into the statin group based on the following variables: age; sex; body surface area; smoking; diabetes; hypertension; history of CAD, myocardial infarction (MI), percutaneous coronary intervention, coronary artery bypass grafting, stroke and PAD; atrial fibrillation; estimated glomerular filtration rate; haemoglobin level; renin-angiotensin inhibitor treatment at admission; New York Heart Association (NYHA) class 3 or 4; Clinical Frailty Scale8; and Society of Thoracic Surgeons (STS) risk score. PS matching was performed using 1:1 matching without replacement, with the calliper width equal to 0.2 SD of the PS logit. The balance between the statin and non-statin groups in the matched cohort was estimated using absolute standardised difference. Cox proportional hazards analyses were performed to assess the impact of statin on clinical outcomes. In addition to the PS matching model, we built a multivariable model by inverse probability of treatment weighting (IPTW) using PS.14 All reported p values were two-sided, and a p value <0.05 was considered statistically significant. All statistical analyses were performed using the R software package (V.3.3.2; R Development Core Team, Vienna, Austria).

Patient and public involvement statement

Patients were first involved in the research when they underwent TAVI and registered to the OCEAN-TAVI registry through a web-based data collection system. Research questions and outcome measures were developed by the OCEAN-TAVI registry investigators. Patients were informed about the registration. They were asked to assess the burden of the intervention and the time required to participate in the research. Information on the registry and the study results are available on the website of the OCEAN-TAVI registry.

Results

Among the 2588 patients who underwent TAVI, 1523 and 1065 patients were classified into the statin and the non-statin group, respectively (figure 1). The distribution of PS in the statin and non-statin groups is shown in online supplemental figure S1. After 1:1 PS matching, we identified 936 matched pairs of patients with similar PS. The patient characteristics of the statin and non-statin groups before and after matching are summarised in table 1. The overall cohort included very elderly patients (84.4±5.2 years). The majority of the cohort were female (69.3%). The STS risk score was 6.55% (IQR 4.55%–9.50%), the Euro II score was 3.74% (IQR 2.34%–6.02%) and the Clinical Frailty Scale score was 3.9±1.2.
Table 1

Patient characteristics before and after propensity score matching

Before matchingAfter matching
Statin (+)Statin (−)Standardised differenceStatin (+)Statin (−)Standardised difference
n=1065n=1523n=936n=936
Preprocedural variables
Age, years84.1±5.084.6±5.30.0184.2±5.084.3±5.20.01
Men, n (%)322 (30.2)473 (31.1)0.02277 (29.6)255 (27.2)0.05
Body surface area, m2 1.44±0.171.42±0.170.131.44±0.171.43±0.170.07
NYHA class 3 or 4, n (%)518 (48.6)803 (52.7)0.08462 (49.4)457 (48.8)0.01
Clinical Frailty Scale3.8±1.24.1±1.30.233.8±1.23.8±1.20.04
Diabetes mellitus, n (%)264 (24.8)291 (19.1)0.14207 (22.1)195 (20.8)0.03
Smoking, n (%)212 (19.9)260 (17.1)0.07169 (18.1)160 (17.1)0.02
Hypertension, n (%)861 (80.9)1129 (74.1)0.16744 (79.5)753 (80.5)0.02
Chronic kidney disease, n (%)755 (70.9)1054 (69.2)0.04651 (69.6)640 (68.4)0.03
Atrial fibrillation, n (%)195 (18.3)354 (23.2)0.12181 (19.3)183 (19.6)0.01
Coronary artery disease, n (%)507 (47.6)447 (29.4)0.38378 (40.4)372 (39.7)0.01
Previous myocardial infarction, n (%)108 (10.1)50 (3.3)0.2848 (5.1)48 (5.1)<0.01
Previous percutaneous coronary intervention, n (%)342 (32.1)284 (18.7)0.31249 (26.6)238 (25.4)0.03
Previous coronary artery bypass grafting, n (%)112 (10.5)57 (3.7)0.2760 (6.4)57 (6.1)0.01
Peripheral artery disease, n (%)161 (15.1)216 (14.2)0.03136 (14.5)128 (13.7)0.02
Previous stroke, n (%)127 (11.9)174 (11.4)0.02116 (12.4)102 (10.9)0.05
STS risk score7.7±6.08.6±7.50.137.7±6.17.7±5.3<0.01
Renin-angiotensin inhibitor, n (%)639 (60.0)748 (49.1)0.22540 (57.7)544 (58.1)0.01
ß blocker, n (%)384 (36.1)496 (32.6)0.07334 (35.7)303 (32.4)0.07
eGFR, mL/min/1.73 m2 51.7±18.551.1±20.10.0352.3±18.651.7±19.60.03
Haemoglobin, g/L114±17111±170.17114±17112±160.15
LDL-c, mg/dL104.3±28.994.2±28.00.35105.9±28.294.8±27.80.4
HDL-c, mg/dL52.9±15.853.6±15.00.0453.5±16.354.3±15.00.05
Triglyceride, mg/dL106.8±57.6110.5±53.00.07109.6±60.9110.2±53.20.01
Preprocedural echocardiographic data
Aortic valve area, cm2 0.64±0.170.63±0.170.040.63±0.170.63±0.16<0.01
Indexed aortic valve area, cm2/m2 0.44±0.120.44±0.12<0.010.44±0.120.45±0.120.03
Mean aortic gradient, mm Hg50.0±18.151.0±18.40.0551.0±18.250.8±18.20.01
Peak velocity, m/s4.5±0.84.6±0.80.074.6±0.84.6±0.80.02
Ejection fraction, %59.2±12.759.2±12.6<0.0159.6±12.459.7±12.00.01
Severe aortic regurgitation, n (%)12 (0.8)4 (0.4)0.057 (0.8)4 (0.4)0.04
Severe mitral regurgitation, n (%)21 (1.4)12 (1.1)0.0212 (1.3)6 (0.6)0.07
Pulmonary hypertension, n (%)40 (3.8)62 (4.1)0.0237 (4.0)33 (3.5)0.02
Preprocedural CT data
Annular area, mm2 395.5±70.7400.7±71.00.07395.9±70.2396.5±69.10.01
Procedural variables
Transfemoral approach, n (%)873 (82.0)1294 (85.0)0.08770 (82.3)784 (83.8)0.04
Local anaesthesia, n (%)799 (75.0)1179 (77.4)0.06714 (76.3)734 (78.4)0.05
Contrast volume, mL115.8±59.1115.4±58.00.01118.8±60.0113.5±57.10.09
Fluoroscopy time, min21.7±12.521.1±10.00.0521.9±12.621.0±10.00.08
Procedure time, min81.6±45.880.3±45.40.0381.6±43.080.4±43.60.03

eGFR, estimated glomerular filtration rate; HDL-c, high-density lipoprotein cholesterol; LDL-c, low-density lipoprotein cholesterol; NYHA, New York Heart Association; STS, Society of Thoracic Surgeons.

Patient characteristics before and after propensity score matching eGFR, estimated glomerular filtration rate; HDL-c, high-density lipoprotein cholesterol; LDL-c, low-density lipoprotein cholesterol; NYHA, New York Heart Association; STS, Society of Thoracic Surgeons. After PS matching, the two groups were well balanced in terms of preprocedural patient characteristics and procedural variables. In-hospital all-cause mortality, acute kidney injury, stroke and vascular complications did not differ between the two groups. Postprocedural echocardiography data showed no significant differences between the two groups (table 2). The patient characteristics and in-hospital outcomes of the PS matched and unmatched groups are summarised in online supplemental tables S1 and S2. There were several differences between the two groups. The proportion of male patients was lower in the PS matched group than in the unmatched group (532 (28.4%) vs 263 (36.7%), p<0.01), NYHA class 3 or 4 was less frequent in the matched group (919 (49.1%) vs 402 (56.2%), p<0.01), the Clinical Frailty Scale score was lower in the matched group (3.8±1.2 vs 4.2±1.4, p<0.01), and the STS risk score was lower in the matched group (7.7±5.7 vs 9.8±9.2, p<0.01). History of CAD was more frequent (750 (40.1%) vs 204 (28.5%), p<0.01) but previous MI was less frequent (96 (5.1%) vs 62 (8.7%), p<0.01) in the PS matched group. In-hospital all-cause mortality (43 (2.3%) vs 27 (3.8%), p<0.01) and bleeding (421 (22.5%) vs 199 (27.8%), p<0.01) were lower in the matched group than in the unmatched group.
Table 2

In-hospital outcomes before and after propensity score matching

Before matchingAfter matching
Statin (+)Statin (−)P valueStandardised differenceStatin (+)Statin (−)P valueStandardised difference
n=1065n=1523n=936n=936
All-cause mortality, n (%)27 (2.5)43 (2.8)0.660.0220 (2.1)23 (2.5)0.640.02
Acute kidney injury, n (%)111 (10.4)178 (11.7)0.310.0496 (10.3)105 (11.2)0.500.03
Stroke, n (%)27 (2.5)34 (2.2)0.620.0224 (2.6)19 (2.0)0.440.04
Vascular complication, n (%)105 (9.9)128 (8.4)0.210.0590 (9.6)78 (8.3)0.330.05
Postprocedural echocardiographic data
Effective orifice area, cm2 1.67±0.451.69±0.450.530.031.68±0.441.66±0.430.340.04
Indexed effective orifice area, cm2/m2 1.17±0.321.20±0.310.020.101.18±0.321.18±0.300.99<0.01
Mean aortic gradient, mm Hg11.0±4.410.6±4.70.080.0711.0±4.411.0±4.90.92<0.01
Peak velocity, m/s2.3±0.42.2±0.50.100.072.3±0.52.3±0.50.98<0.01
Moderate or severe aortic regurgitation, n (%)18 (1.7)31 (2.1)0.510.0317 (1.8)20 (2.2)0.610.02
Moderate or severe mitral regurgitation, n (%)59 (5.6)100 (6.6)0.270.0445 (4.8)51 (5.5)0.520.03
In-hospital outcomes before and after propensity score matching In the overall cohort, the median follow-up period was 660 days. Statin therapy was associated with significantly lower midterm all-cause mortality in the PS matched cohort (adjusted HR (aHR) 0.76, 95% CI 0.58 to 0.99, p=0.04) (figure 2A), which was consistent with the IPTW model (aHR 0.80, 95% CI 0.65 to 0.99, p=0.04). The Kaplan-Meier curves relative to the midterm outcomes additionally showed a significant difference in cardiovascular mortality (aHR 0.64, 95% CI 0.42 to 0.97, p=0.04) and an insignificant difference in non-cardiovascular mortality (aHR 0.86, 95% CI 0.61 to 1.21, p=0.39) between the two groups (figure 2B, C). There was no significant difference in 30-day all-cause mortality (aHR 0.73, 95% CI 0.47 to 1.08, p=0.11), and a landmark analysis after 30 days showed a significant difference in midterm all-cause mortality (aHR 0.88, 95% CI 0.78 to 0.99, p=0.03) (figure 2D).
Figure 2

Kaplan-Meier curves for midterm and 30-day mortality in the matched cohort. Kaplan-Meier curves for midterm all-cause mortality (A), CV mortality (B) and non-CV mortality (C) in the matched cohort. (D) Kaplan-Meier curve for 30-day all-cause mortality and midterm all-cause mortality with the landmark analysis from 30 days in the matched cohort. aHR, adjusted HR; CV, cardiovascular.

Kaplan-Meier curves for midterm and 30-day mortality in the matched cohort. Kaplan-Meier curves for midterm all-cause mortality (A), CV mortality (B) and non-CV mortality (C) in the matched cohort. (D) Kaplan-Meier curve for 30-day all-cause mortality and midterm all-cause mortality with the landmark analysis from 30 days in the matched cohort. aHR, adjusted HR; CV, cardiovascular. In the octogenarian cohort (80–89 years old), statin therapy was associated with significantly lower midterm all-cause mortality (aHR 0.87, 95% CI 0.75 to 0.99, p=0.04) (figure 3A), but the impact in the nonagenarian cohort (90 years or older) appeared to be lower (aHR 0.84, 95% CI 0.62 to 1.13, p=0.25) (figure 3B). The p value for interaction was 0.90.
Figure 3

Kaplan-Meier curves for all-cause mortality in the octogenarian (A) and nonagenarian (B) cohorts.

Kaplan-Meier curves for all-cause mortality in the octogenarian (A) and nonagenarian (B) cohorts. Furthermore, comparing the four groups according to previous CAD and statin therapy, there was a significant difference in midterm all-cause mortality (p<0.01) (figure 4). Patients who did not receive statin therapy despite a history of CAD showed the worst prognosis (aHR 1.33, 95% CI 1.12 to 1.57; patients who received statin without previous CAD as a reference). Their survival curve diverged from that of the patients without previous CAD or statin after 1 year. In addition, patients with previous CAD and statin therapy (aHR 1.04, 95% CI 0.87 to 1.23) seemed to obtain similar risks with those who did not have previous CAD or statin therapy (aHR 1.11, 95% CI 0.96 to 1.27; patients who received statin without previous CAD as a reference).
Figure 4

Kaplan-Meier curve for all-cause mortality according to previous coronary artery disease (CAD) and statin therapy in the overall cohort.

Kaplan-Meier curve for all-cause mortality according to previous coronary artery disease (CAD) and statin therapy in the overall cohort. The results of the univariate and multivariate Cox proportional hazards regression analyses are shown in table 3. Statin therapy at admission was independently associated with lower all-cause mortality (aHR 0.86, 95% CI 0.77 to 0.95, p<0.01).
Table 3

Univariate and multivariate Cox proportional regression analyses of all-cause mortality in the overall cohort

Univariate analysisMultivariate analysis
HR (95% CI)P valueAdjusted HR (95% CI)P value
Men1.30 (1.18 to 1.42)<0.011.40 (1.25 to 1.57)<0.01
Age1.01 (0.99 to 1.03)0.130.99 (0.97 to 1.01)0.31
Clinical Frailty Scale 1–30.77 (0.70 to 0.85)<0.010.81 (0.73 to 0.90)<0.01
NYHA class 3 or 41.33 (1.21 to 1.46)<0.011.18 (1.07 to 1.31)<0.01
Smoking1.20 (1.08 to 1.33)<0.011.02 (0.90 to 1.15)0.74
Diabetes mellitus1.12 (1.00 to 1.24)0.040.99 (0.89 to 1.11)0.87
Hypertension0.97 (0.88 to 1.09)0.630.97 (0.86 to 1.08)0.54
Previous myocardial infarction1.32 (1.13 to 1.52)<0.011.14 (0.96 to 1.35)0.14
Previous coronary artery bypass grafting1.21 (1.02 to 1.40)0.031.05 (0.88 to 1.24)0.60
Peripheral artery disease1.35 (1.21 to 1.50)<0.011.08 (0.95 to 1.22)0.24
Previous stroke1.14 (0.99 to 1.30)0.061.04 (0.90 to 1.19)0.62
Atrial fibrillation1.19 (1.07 to 1.32)<0.011.00 (0.90 to 1.12)0.98
STS risk score1.04 (1.03 to 1.04)<0.011.02 (1.01 to 1.03)<0.01
eGFR, mL/min/1.73 m2 0.98 (0.98 to 0.99)<0.010.99 (0.99 to 1.00)<0.01
Haemoglobin, g/L0.83 (0.78 to 0.88)<0.010.85 (0.80 to 0.91)<0.01
Medication at admission
Statin0.84 (0.77 to 0.93)<0.010.86 (0.77 to 0.95)<0.01
Renin-angiotensin inhibitor0.92 (0.84 to 1.01)0.080.88 (0.80 to 0.97)0.01
ß blocker1.09 (0.99 to 1.20)0.081.06 (0.96 to 1.16)0.28
Preprocedural echocardiographic data
Aortic valve area, cm2/m2 1.29 (0.76 to 2.20)0.351.23 (0.63 to 2.38)0.54
Peak velocity, mm Hg0.75 (0.67 to 0.85)<0.010.76 (0.66 to 0.88)<0.01
Ejection fraction, %0.99 (0.98 to 0.99)0.031.01 (1.00 to 1.02)0.02
Pulmonary hypertension1.50 (1.25 to 1.78)<0.011.27 (1.05 to 1.53)0.01
Severe aortic regurgitation0.56 (0.13 to 1.19)0.160.57 (0.21 to 1.51)0.26
Severe mitral regurgitation1.34 (0.93 to 1.81)0.110.99 (0.70 to 1.40)0.96
Procedural variables
Transfemoral approach0.81 (0.73 to 0.91)<0.010.87 (0.77 to 0.98)0.03
Local anaesthesia0.89 (0.79 to 1.01)0.070.92 (0.81 to 1.05)0.22

eGFR, estimated glomerular filtration rate; NYHA, New York Heart Association; STS, Society of Thoracic Surgeons.

Univariate and multivariate Cox proportional regression analyses of all-cause mortality in the overall cohort eGFR, estimated glomerular filtration rate; NYHA, New York Heart Association; STS, Society of Thoracic Surgeons.

Discussion

The present study investigated the impact of statin therapy on midterm mortality after TAVI using a Japanese multicentre registry. Statin therapy at admission was associated with significantly lower all-cause and cardiovascular mortality. It should be noted that the impact of statin therapy attenuated in the nonagenarians. Furthermore, we demonstrated differences in all-cause mortality according to history of CAD and statin therapy. The present study included the largest patient cohort (936 pairs of patients after PS matching) and is the first report to investigate the association of age and history of CAD with the impact of statin. Few reports have assessed the impact of statin treatment on mortality after TAVI. Peri-Okonny et al 7 demonstrated that statin therapy was associated with reductions in 2-year all-cause (aHR 0.65, 95% CI 0.49 to 0.87, p=0.001), cardiovascular (aHR 0.66, 95% CI 0.46 to 0.96, p=0.030) and non-cardiovascular (aHR 0.64, 95% CI 0.44 to 0.99, p=0.045) mortality compared with no statin therapy, with a large cohort using PARTNER II and Sapien 3 clinical trials or associated registries (626 pairs of patients after PS matching). Merdler et al 15 showed that high-intensity statin therapy was associated with a reduction in mortality after TAVI (median follow-up period: 2.5 years) using data of 1238 cases from a single-centre registry (aHR 0.59, 95% CI 0.37 to 0.96, p=0.03). Huded et al 16 also showed that high-intensity statin therapy was associated with a reduction in all-cause mortality (mean survival: 3.9 years) based on 294 cases (aHR 0.36, 95% CI 0.14 to 0.90, p=0.029). Takagi et al 17 reported similar results following a meta-analysis. These results were consistent with our results. The mechanism through which statin therapy reduces the risks of all-cause and cardiovascular mortality is thought to be associated with a reduction in ischaemic events.7 15–17 However, there are limited data relative to statin therapy in octogenarians and nonagenarians, as are data not only on TAVI but also on statin therapy as primary and secondary prevention. The PROspective Study of Pravastatin in the Elderly at Risk trial was the only randomised controlled trial for elderly patients (aged 70–82 years) with history or risk factors of vascular disease. The study revealed that pravastatin led to a 3-year reduced risk of CAD.18 Recommendation of statin therapy for very elderly patients varies among the guidelines.19–23 Very recently, a few reports supporting statin therapy for very elderly patients have been published. In the Patient and Provider Assessment of Lipid Management Registry, statin therapy appeared to be similarly tolerated by patients older and younger than 75 years.24 The Cholesterol Treatment Trialists’ Collaboration demonstrated that statin therapy as primary and secondary prevention produced significant reductions in major vascular events even in patients older than 75 years.25 Furthermore, Ramos et al 26 revealed that statin therapy was associated with significant reductions in atherosclerotic cardiovascular events and all-cause mortality for patients who were older than 74 years and had diabetes. Interestingly, Giral et al 27 demonstrated that statin discontinuation in 75-year-old primary prevention patients was associated with a 33% increased risk of cardiovascular events. Our present study was consistent with these reports and indicated that statin therapy would be effective for very elderly and atherosclerotic high-risk patients by reducing cardiovascular events and mortality. Conversely, Ramos et al 26 reported that the benefits of statin therapy disappeared in nonagenarians, as observed in our nonagenarian cohort. However, the p value for interaction among the octogenarian and nonagenarian cohorts in the present study was not significant. There seemed to be a difference among the two cohorts during 12–24 months after TAVI but then the curves converged. The insignificance might be due to low life expectancy in nonagenarians after 24 months. Besides, the sizes of the cohorts and confounding regarding prescribing statin to nonagenarians with CAD might skew the results. The statin effect generally appears after 1 year compared with placebo.7 28 Patients with a history of CAD who did not receive statin therapy appeared to have higher mortality rates after 1 year in the present study. In addition, our analysis combining history of CAD and statin therapy implied that TAVI patients with previous CAD might be able to achieve a similar reduction in mortality risk as those patients who had no previous CAD or statin treatment. The present study had some limitations. First, this is an observational study, and unknown and unmeasurable factors may have confounded the relationship between statin therapy and mortality. However, a multicentre approach enabled us to accumulate a relatively large number of patients, and we used PS matching analysis, IPTW model and Cox proportional hazards regression model to confirm the robustness of the results. Second, a generalisation of the present results may be slightly limited due to the differences between the matched and unmatched group as it might be plausible given the results of the IPTW model. In addition, generalising our findings outside Japan also requires attention since this study included only Japanese patients. Third, information on the type and doses of statin therapy was not obtained. Use of ezetimibe or proprotein convertase subtilisin/kexin type 9 inhibitor was not recorded in this study. Fourth, we assessed statin use only on admission and there was a possibility that statin therapy might have changed at discharge or during follow-up. The duration of statin administration and the timing to start prescribing statin were not captured in the present study. Finally, we could not assess intolerance in patients eligible for statin treatment but who could not continue treatment due to statin side effects such as rhabdomyolysis. Further studies, including a randomised controlled trial, on statin therapy following TAVI are warranted to resolve these limitations. In conclusion, using data from a large multicentre registry, statin therapy at admission for TAVI was associated with significant reductions in midterm all-cause and cardiovascular mortality. Statin therapy prior to TAVI will be beneficial even in octogenarians, but the benefits may disappear in nonagenarians. In addition, statin therapy will be essential for TAVI patients with CAD. Further research is warranted to confirm and generalise our findings since the present study has several inherent limitations of an observational study and included only Japanese patients.
  27 in total

Review 1.  Primary Prevention With Statins in the Elderly.

Authors:  Martin Bødtker Mortensen; Erling Falk
Journal:  J Am Coll Cardiol       Date:  2018-01-02       Impact factor: 24.094

Review 2.  Meta-Analysis for Impact of Statin on Mortality After Transcatheter Aortic Valve Implantation.

Authors:  Hisato Takagi; Yosuke Hari; Kouki Nakashima; Toshiki Kuno; Tomo Ando
Journal:  Am J Cardiol       Date:  2019-06-24       Impact factor: 2.778

3.  Clinical outcomes at 1 year following transcatheter aortic valve replacement.

Authors:  David R Holmes; J Matthew Brennan; John S Rumsfeld; David Dai; Sean M O'Brien; Sreekanth Vemulapalli; Fred H Edwards; John Carroll; David Shahian; Fred Grover; E Murat Tuzcu; Eric D Peterson; Ralph G Brindis; Michael J Mack
Journal:  JAMA       Date:  2015-03-10       Impact factor: 56.272

4.  Prognostic Impact of Low-Flow Severe Aortic Stenosis in Small-Body Patients Undergoing TAVR: The OCEAN-TAVI Registry.

Authors:  Akihisa Kataoka; Yusuke Watanabe; Ken Kozuma; Yugo Nara; Fukuko Nagura; Hideyuki Kawashima; Hirofumi Hioki; Makoto Nakashima; Masanori Yamamoto; Kensuke Takagi; Motoharu Araki; Norio Tada; Shinichi Shirai; Futoshi Yamanaka; Kentaro Hayashida
Journal:  JACC Cardiovasc Imaging       Date:  2017-05-17

5.  Statin Use for the Primary Prevention of Cardiovascular Disease in Adults: US Preventive Services Task Force Recommendation Statement.

Authors:  Kirsten Bibbins-Domingo; David C Grossman; Susan J Curry; Karina W Davidson; John W Epling; Francisco A R García; Matthew W Gillman; Alex R Kemper; Alex H Krist; Ann E Kurth; C Seth Landefeld; Michael L LeFevre; Carol M Mangione; William R Phillips; Douglas K Owens; Maureen G Phipps; Michael P Pignone
Journal:  JAMA       Date:  2016-11-15       Impact factor: 56.272

6.  Pravastatin in elderly individuals at risk of vascular disease (PROSPER): a randomised controlled trial.

Authors:  James Shepherd; Gerard J Blauw; Michael B Murphy; Edward L E M Bollen; Brendan M Buckley; Stuart M Cobbe; Ian Ford; Allan Gaw; Michael Hyland; J Wouter Jukema; Adriaan M Kamper; Peter W Macfarlane; A Edo Meinders; John Norrie; Chris J Packard; Ivan J Perry; David J Stott; Brian J Sweeney; Cillian Twomey; Rudi G J Westendorp
Journal:  Lancet       Date:  2002-11-23       Impact factor: 79.321

Review 7.  2016 Canadian Cardiovascular Society Guidelines for the Management of Dyslipidemia for the Prevention of Cardiovascular Disease in the Adult.

Authors:  Todd J Anderson; Jean Grégoire; Glen J Pearson; Arden R Barry; Patrick Couture; Martin Dawes; Gordon A Francis; Jacques Genest; Steven Grover; Milan Gupta; Robert A Hegele; David C Lau; Lawrence A Leiter; Eva Lonn; G B John Mancini; Ruth McPherson; Daniel Ngui; Paul Poirier; John L Sievenpiper; James A Stone; George Thanassoulis; Richard Ward
Journal:  Can J Cardiol       Date:  2016-07-25       Impact factor: 5.223

Review 8.  Updated standardized endpoint definitions for transcatheter aortic valve implantation: the Valve Academic Research Consortium-2 consensus document.

Authors:  A Pieter Kappetein; Stuart J Head; Philippe Généreux; Nicolo Piazza; Nicolas M van Mieghem; Eugene H Blackstone; Thomas G Brott; David J Cohen; Donald E Cutlip; Gerrit-Anne van Es; Rebecca T Hahn; Ajay J Kirtane; Mitchell W Krucoff; Susheel Kodali; Michael J Mack; Roxana Mehran; Josep Rodés-Cabau; Pascal Vranckx; John G Webb; Stephan Windecker; Patrick W Serruys; Martin B Leon
Journal:  J Am Coll Cardiol       Date:  2012-10-09       Impact factor: 24.094

9.  Randomised trial of cholesterol lowering in 4444 patients with coronary heart disease: the Scandinavian Simvastatin Survival Study (4S)

Authors: 
Journal:  Lancet       Date:  1994-11-19       Impact factor: 79.321

10.  Association of Statin Use and Mortality After Transcatheter Aortic Valve Replacement.

Authors:  Poghni A Peri-Okonny; Yangbo Liu; S Chris Malaisrie; Chetan P Huded; Samir Kapadia; Vinod H Thourani; Susheel K Kodali; John Webb; Thomas C McAndrew; Martin B Leon; David J Cohen; Suzanne V Arnold
Journal:  J Am Heart Assoc       Date:  2019-04-16       Impact factor: 5.501

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  1 in total

Review 1.  Effect of Statins on All-Cause Mortality in Adults: A Systematic Review and Meta-Analysis of Propensity Score-Matched Studies.

Authors:  Marcin M Nowak; Mariusz Niemczyk; Michał Florczyk; Marcin Kurzyna; Leszek Pączek
Journal:  J Clin Med       Date:  2022-09-25       Impact factor: 4.964

  1 in total

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