Literature DB >> 33326492

Impact of medication adherence to dual antiplatelet therapy on the long-term outcome of drug-eluting or bare-metal stents.

Jung Min Choi1, Seung-Hwa Lee2, Mira Kang1,3, Jin-Ho Choi1,4.   

Abstract

BACKGROUND: In percutaneous coronary intervention, drug-eluting stent (DES) showed better clinical outcome compared to bare-metal stent (BMS) but mostly with different DAPT durations. HYPOTHESIS: The clinical superiority of DES over BMS may depend on the medication adherence to dual antiplatelet therapy (DAPT).
METHODS: We retrospectively enrolled all Koreans PCI patients in year 2011 (n = 47,291). Medication adherence to DAPT was assessed by proportion of days covered (PDC) per 6 months. Analysis adjusted with the clinical propensity for receiving DES or BMS and DAPT PDC of the first 6 month was performed. Primary outcome was the 5-year major adverse clinical event (MACE) risk consisting all-cause death, revascularization, shock, or stroke.
RESULTS: Patients with DES (n = 46,356) showed higher PDC (78% versus 60%, p<0.001) and lower MACE risk (39% versus 56%, p<0.001) compared to patients with BMS (n = 935). In the propensity-matched 1,868 patients, MACE risk was lower with DES than BMS (46% versus 54%, HR = 0.80, 95% CI = 0.70-0.91, p<0.001). In both DES and BMS, patients with good medication adherence (PDC ≥80%) showed much lower MACE risk compared to patients with PDC <80% (HR = 0.36, 95% CI = 0.30-0.44; HR = 0.40, 95%CI = 0.33-0.48, p<0.001, all). Patients with DES and PDC <80% showed higher MACE risk compared to BMS with and PDC ≥80% (HR = 1.30, 95%CI = 1.03-1.64, p = 0.027).
CONCLUSIONS: Good medication adherence to DAPT in the first 6 month was prerequisite for better clinical outcome in both DES and BMS. DES with poor adherence to DAPT showed worse outcome compared with BMS with good adherence.

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Year:  2020        PMID: 33326492      PMCID: PMC7743933          DOI: 10.1371/journal.pone.0244062

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Adherence to antiplatelet medications is indispensable for reaching the therapeutic goal after percutaneous coronary intervention (PCI) using drug-eluting stent (DES) or bare metal stent (BMS) [1-4]. Use of DES lowered risk of revascularization as well as risk of stent thrombosis and myocardial infarction compared to BMS [5-11]. In most trials, DAPT duration was typically longer in DES than in BMS. However, in NORSTENT and BASKET-PROVE, two large randomized trials that applied the same DAPT duration in both DES and BMS, there was no difference in the composite outcome of all-cause death and nonfatal myocardial infarction between DES and BMS [8, 12]. This discrepancy among the results of clinical trials suggests that the duration of DAPT may affect the clinical safety and efficacy of DES compared to BMS. Notably, the adherence to DAPT is known to be frequently suboptimal not only in real-world practice but also in clinical trials [13]. Currently, limited data is available for the safety or efficacy of DES compared with BMS with respect to the duration of DAPT. It is well known that there is a large gap among the real medication adherence measured by electronically traced pills, patient’s self-reported medication, and healthcare professional’s interview [14, 15]. Therefore, we reasoned that medication adherence assessed using pharmaceutical claims may be the best objective substitute for medication duration as a mean of incorporating surveillance of adherence to clinical outcome, and enables utilization of real-world data which should be valuable in observational setting [16]. We investigated the outcome of patients who underwent PCI using DES or BMS with respect to the adherence to DAPT using a nationwide real-world large data.

Methods

Study population

The study design was a retrospective all-comer cohort study. Data source was Korean nationwide healthcare database retrieved from the National Healthcare Insurance Service, which is a compulsory healthcare insurance that covers almost all population in Korea. Study cohort consisted of anonymized individual claims of PCI using stent from January 1, 2011 to December 31, 2011. Administrative claims, medical services claims, pharmacy claims, and death records issued from January 1, 2009 through December 31, 2016 were retrieved to assess pre-PCI clinical status and clinical events in the post-PCI follow-up period. Medical services claim data consisted of medical procedure codes and diagnosis codes in the 10th revision of International Statistical Classification of Diseases and Related Health Problems (ICD-10). Data was retrieved on July 1, 2017. The Samsung Medical Center Institutional Review Board approved this study and determined that this study did not require informed consent given that the analysis used anonymized database and focused on the reporting of aggregated results. This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guidelines and was registered at ClinicalTrials.gov NCT03785509.

Study definitions and endpoints

The index PCI date was the date of first PCI performed in the selection period from January 1, 2011 to December 31, 2011. Baseline clinical characteristics or medical history prior to the index PCI were defined by respective ICD-10 codes or claims issued in the look-back period between January 1, 2009 and the index PCI date. The procedure or clinical event after PCI were defined by the issued claims and ICD-10 codes in the follow-up period from the index PCI date to the end of study period. Shock was defined by claims that might be issued in case of cardiogenic shock such as resuscitation, endotracheal intubation and mechanical ventilation, use of hemodynamic support device including intra-aortic balloon counterpulsation or extracorporeal membrane oxygenation. Stroke was defined by corresponding ICD-10 codes accompanied with claims of brain computed tomography or magnetic resonance imaging and hospital admission within 7 days. The overall comorbidity was assessed using Charlson comorbidity index, which categorizes the comorbidity of patient with ICD codes [17]. The details of codes used for clinical status are listed in the S1 File. Follow-up was determined to be completed if mortality was confirmed or if any medication or administrative claims was issued after index PCI date. No patient was lost to follow-up with respect to death. Follow-up of non-fatal clinical event was completed for 99.2% of the 4th year and 94.8% of the 5th year entries. DAPT duration was assessed using proportion of days covered (PDC), which is a percentage of days covered with the refill drugs in the number of days the patient is eligible to have the medication. We assumed that PDC ≥ 80%, which is regarded as good medication adherence, as on the clinically effective DAPT. Hence PDC is calculated for a given period, we assessed PDC per 6 month basis and compared PDC of DES and BMS in the first 6 month after PCI. In case of death or follow-up loss, PDC was calculated using the last follow-up date so that PDC was not affected by death or follow-up loss. The primary outcome was 5-year cumulative risk of a major adverse clinical event (MACE) consisting of all-cause death, revascularization, shock, and stroke. The risks of clinical events were adjusted by the propensity for the use of DES or BMS and the first 6 month PDC of DAPT. Secondary outcomes were 5-year cumulative risk of MACE components and the association of MACE with PDC of DAPT.

Statistical analysis

Categorical and continuous variables are compared using t-test or chi-square test, appropriately, and shown as mean ± SD or frequency (%), appropriately. The cohort was divided into two groups using DES or BMS. For survival analyses, the potential confounding factors were adjusted by matching patient’s propensity for DES or BMS using a model that included the following parameters; age, gender, prior clinical history including hypertension, diabetes, hyperlipidemia, renal replacement therapy, stroke, malignant neoplasm, prior transfusion, acute myocardial infarction, revascularization, cardiopulmonary resuscitation; initial clinical presentation (angina, non ST-elevation myocardial infarction, ST-elevation myocardial infarction); periprocedural event including transfusion, resuscitation, intubation and mechanical ventilation, use of intra-aortic balloon counterpulsation or extracorporeal membranous oxygenation, gastrointestinal endoscopy, the number of stent used, Charlson’s comorbidity index, and PDC of DAPT at the first 6 month. The discriminative performance of propensity model was acceptable (c-statistics = 0.703, S1 Fig). In the subsequent analyses, propensity score-matched patients that received DES or BMS are classified according to the good (≥ 80%) or poor (< 80%) PDC of DAPT at the first 6 month. Cumulative events of each group are compared using Cox proportional hazard model. Statistical analysis was performed using SAS version 9.4 (SAS Institute Inc) and R version 3.6 (R Foundation for Statistical Computing). Hazard ratios (HR) for compared outcomes are reported with a 95% confidence interval (CI). Statistical significance was defined by 2-tailed p < 0.05.

Results

Characteristics of the study population

A total of 53,087 individual PCI procedure was identified in the enrollment period. After exclusion of 5,796 procedures in which both DES and BMS are used simultaneously, without specification of stent, or without use of stent, a total of 47,291 patients with mean age 64.4 ± 11.3 years and 67.7% male gender were enrolled in to the study (Fig 1).
Fig 1

Study flow.

*Stent without identified specification.

Study flow.

*Stent without identified specification. Compared to patients that received BMS, patients that received DES were younger, less often presented with acute coronary syndrome, more often diabetic, more often had prior history of revascularization, and less often had malignant neoplasm (p<0.01, all). Patients that received DES also had lower Charlson’s comorbidity index and were less often in shock (p < 0.001, all). The PDC of DAPT was higher in DES than BMS (p < 0.001) (Table 1).
Table 1

Basal clinical and procedural characteristics.

Unadjusted cohortPropensity score matched cohort
DESBMSp-valueSMDDESBMSp-valueSMD
N46356935934934
Age (year)64.4 ± 11.367.1 ± 13.1<0.0010.21967.4 ± 11.767.1 ± 13.10.570.030
Male gender31378 (67.7)640 (68.4)0.650.016643 (68.8)639 (68.4)0.880.009
Hypertension34506 (74.4)683 (73.0)0.360.032684 (73.2)682 (73.0)0.960.005
Diabetes11305 (24.4)198 (21.2)0.0260.077206 (22.1)198 (21.2)0.690.021
Hyperlipidemia30753 (66.3)528 (56.5)<0.0010.204542 (58.0)528 (56.5)0.540.030
Stroke2213 (4.8)55 (5.9)0.140.04959 (6.3)55 (5.9)0.770.018
Chronic kidney disease2516 (5.4)58 (6.2)0.340.03361 (6.5)58 (6.2)0.850.013
Maintenance dialysis1029 (2.2)20 (2.1)0.960.00621 (2.2)20 (2.1)1.000.007
Malignant neoplasm2163 (4.7)136 (14.5)<0.0010.34133 (14.2)135 (14.5)0.950.006
History of resuscitation96 (0.2)3 (0.3)0.700.0223 (0.3)3 (0.3)1.00<0.001
History of angina7375 (15.9)120 (12.8)0.0120.088113 (12.1)119 (12.7)0.730.019
History of acute myocardial infarction4057 (8.8)96 (10.3)0.120.052105 (11.2)96 (10.3)0.550.031
History of revascularization2581 (5.6)32 (3.4)0.0060.10439 (4.2)32 (3.4)0.470.039
 Percutaneous coronary intervention2504 (5.4)28 (3.0)0.0020.12038 (4.1)28 (3.0)0.260.058
 Bypass surgery92 (0.2)5 (0.5)0.060.0561 (0.1)5 (0.5)0.220.076
Diagnosis0.076
 Angina28882 (62.3)430 (46.0)<0.0010.332441 (47.2)430 (46.0)0.360.066
 Non ST-elevation myocardial infarction6660 (14.4)190 (20.3)166 (17.8)190 (20.3)
 ST-elevation myocardial infarction10814 (23.3)315 (33.7)327 (35.0)314 (33.6)
Charlson comorbidity index0.98 ± 1.491.29 ± 1.82<0.0010.1841.28 ± 1.821.29 ± 1.820.900.006
Charlson comorbidity index, category
 023277 (50.2)419 (44.8)<0.0010.173424 (45.4)419 (44.9)0.510.071
 1–218017 (38.9)362 (38.7)370 (39.6)361 (38.7)
 3–43583 (7.7)102 (10.9)83 (8.9)102 (10.9)
 > = 51479 (3.2)52 (5.6)57 (6.1)52 (5.6)
Stent category
 BMS-935 (100)---934 (100)--
 DES 1st generation3615 (7.8)-71 (7.6)-
 DES 1st generation and 2nd generation659 (1.4)-9 (1.0)-
 DES 2nd generation42741 (92.2)-863 (92.4)-
Number of stents1.12 ± 0.351.07 ± 0.27<0.0010.1711.07 ± 0.251.07 ± 0.270.930.004
Periprocedural revascularization167 (0.4)5 (0.5)0.550.0266 (0.6)5 (0.5)1.000.014
 PCI84 (0.2)3 (0.3)0.550.0282 (0.2)3 (0.3)1.000.021
 Bypass surgery83 (0.2)2 (0.2)1.000.0084 (0.4)2 (0.2)0.380.038
Periprocedural shock2751 (5.9)146 (15.6)<0.0010.316148 (15.8)145 (15.5)0.900.009
 Resuscitation and/or hypothermia1234 (2.7)76 (8.1)<0.0010.24482 (8.8)76 (8.1)0.680.023
 Endotracheal intubation and/or mechanical ventilation2316 (5.0)129 (13.8)<0.0010.305130 (13.9)128 (13.7)0.950.006
 Intraaortic balloon counterpulsation899 (1.9)39 (4.2)<0.0010.13040 (4.3)39 (4.2)1.000.005
 Extracorporeal membranous oxygenation231 (0.5)14 (1.5)<0.0010.10113 (1.4)14 (1.5)1.000.009
Periprocedural stroke1570 (3.4)47 (5.0)0.0080.08256 (6.0)47 (5.0)0.420.042
Periprocedural gastrointestinal endoscopy3265 (7.0)127 (13.6)<0.0010.216114 (12.2)126 (13.5)0.450.038
Periprocedural transfusion3465 (7.5)164 (17.5)<0.0010.308164 (17.6)163 (17.5)1.000.003
DAPT PDC at first 6 month (%)78 ± 3560 ± 42<0.0010.47059 ± 4360 ± 410.740.016

Data are shown with mean (SD) or frequency (%).

Data are shown with mean (SD) or frequency (%).

Unadjusted clinical outcome

In the analysis of unadjusted whole cohort, DES showed much lower 5-year cumulative risk of MACE compared to BMS (37.8% versus 56.3%, HR = 0.574. 95% CI = 0.526–0.628). DES also showed lower risk of all-cause death (18.3% versus 37.5%, HR = 0.419, 95% CI = 0.377–0.467) and non-fatal MACE (27.4% versus 29.3%, HR = 0.768, 95% CI = 0.682–0.866) (p < 0.001, all). Among components of non-fatal MACE, the risk of shock and stroke were lower in DES compared to BMS (p < 0.05, all), but the risk of revascularization was not different between two groups (Fig 2, S1 Table).
Fig 2

Unadjusted 5-year risk of clinical event.

DES showed much lower 5-year cumulative risk of MACE, all-cause death, and non-fatal MACE. However, the risk of revascularization was not different between two groups.

Unadjusted 5-year risk of clinical event.

DES showed much lower 5-year cumulative risk of MACE, all-cause death, and non-fatal MACE. However, the risk of revascularization was not different between two groups.

Clinical outcome adjusted by clinical propensity for the use of DES or BMS

In the survival analysis of propensity matched 934 pairs, the 5-year cumulative risk of MACE DES was lower than BMS (45.9% versus 54.4%, HR = 0.796, 95% CI = 0.700–0.905, p < 0.001). DES also showed lower risk of all-cause death (30.2% versus 37.5%, HR = 0.790, 95% CI = 0.675–0.924, p = 0.003) and non-fatal MACE (24.3% versus 29.3%, HR = 0.774, 95% CI = 0.649–0.923, p = 0.004). The risk of revascularization (12.8% versus 15.6%, HR = 0.780, 95% CI = 0.613–0.993, p = 0.043) was lower in DES, but the risk of shock (3.5% versus 4.6%, HR = 0.754, 95% CI = 0.479–1.187) and stroke (9.6% versus 11.9%, HR = 0.774, 95% CI = 0.586–1.022) were not different between two groups (p > 0.05, all) (S2 Fig). In survival analyses of clinical subgroups including age, gender, clinical risk factors and comorbidities, prior history of cardiovascular events, prior history of transfusion, initial clinical presentation (angina or myocardial infarction, shock), malignancy, periprocedural transfusion, number of stents, and PDC of DAPT, BMS was not better than DES in terms of MACE and all other clinical events (S3 Fig).

Survival analysis adjusted by clinical propensity for the use of DES or BMS, and PDC of DAPT at first 6 month

The impact of medication adherence to DAPT on the clinical outcome of propensity score-matched patients was investigate further using PDC ≥ 80% as the threshold of good adherence. Among patients with PDC ≥ 80%, DES showed much lower risk of MACE, death, and non-fatal MACE (p < 0.05, all). Among patients with PDC < 80%, there was no difference of these risk between DES and BMS (p > 0.05, all). Interestingly, DES with PDC < 80% showed 2-fold higher MACE risk compared to BMS with PDC ≥ 80% (HR = 2.106, 95% CI = 1.744–2.543, p < 0.001) (Fig 3, S2 Table).
Fig 3

Impact of medication adherence to dual antiplatelet therapy on the propensity score-matched 5-year risk of clinical event.

The impact of medication adherence to DAPT on the clinical outcome of propensity score-matched patients was investigate further using PDC ≥ 80% as the threshold of good adherence. Among patients with PDC ≥ 80%, DES showed much lower risk of MACE, all-cause death, and non-fatal MACE. Among patients with PDC < 80%, there was no difference of these risk between DES and BMS. DES with PDC < 80% showed 2-fold higher MACE risk compared to BMS with PDC ≥ 80%.

Impact of medication adherence to dual antiplatelet therapy on the propensity score-matched 5-year risk of clinical event.

The impact of medication adherence to DAPT on the clinical outcome of propensity score-matched patients was investigate further using PDC ≥ 80% as the threshold of good adherence. Among patients with PDC ≥ 80%, DES showed much lower risk of MACE, all-cause death, and non-fatal MACE. Among patients with PDC < 80%, there was no difference of these risk between DES and BMS. DES with PDC < 80% showed 2-fold higher MACE risk compared to BMS with PDC ≥ 80%. Subsequent landmark analysis was performed in order to assess the impact of PDC on the late (> 6 month) clinical events. Among patients with PDC ≥ 80%, there was no difference in the risk of MACE or non-fatal MACE between DES and BMS (p > 0.05, all), but DES showed lower risk of death (HR = 0.647, 95% CI = 0.465–0.900, p = 0.009). Among patients with PDC < 80%, DES showed lower risk of MACE (HR = 0.770, 95% CI = 0.614–0.966, p = 0.024) and death (HR = 0.733, 95% CI = 0.553–0.973, p = 0.031) than BMS, but comparable risk of non-fatal MACE (p > 0.05) (S4 Fig).

Discussion

In this retrospective analysis of a nationwide real-world data, DES was better than BMS in the composite outcome of death and non-fatal hard clinical events including revascularization, shock, and stroke for up to 5 years in overall. Good medication adherence to DAPT in the first 6 month was strongly associated with lower clinical events in both DES and BMS. These findings were consistent after reflecting baseline clinical profiles and the first 6-month medication adherence to DAPT and also in landmark analysis. Interestingly, DES with poor adherence to DAPT showed worse outcome compared with BMS with good adherence, which emphasize the importance of medication adherence to DAPT in the early period after PCI. To the best of our knowledge, this study is the largest study that compared clinical outcome of DES and BMS with respect to the medication adherence to DAPT. Our results were derived from a large retrospective registry and may be best appraised by comparing with the results of large scaled clinical studies. Three large meta-analyses showed that the risks of revascularization, stent thrombosis, myocardial infarction, and all-cause death were lower in DES compared to BMS [6, 10, 11]. in these studies, the recommended duration of DAPT was various (1–12 months) and mostly shorter in BMS. However, in NORSTENT and BASKTE-PROVE, DAPT was prescribed for 9 month and 12 month regardless of stent type, respectively, and there was no difference in the composite outcome of all-cause death and nonfatal myocardial infarction between DES and BMS [8, 12]. Our results are in line with these prior results. DES showed lower all-cause death and revascularization compared to BMS in overall. Additionally, good medication adherence in the first 6 month was prerequisite for good clinical outcome not only in DES but also in BMS. Our results suggest that discrepancy among the results of clinical trials might be affected by different DAPT duration or adherence between DES and BMS [5, 8–10, 18]. The optimal duration of DAPT after DES or BMS is still under debate. In DES, longer DAPT beyond the first 6 to 12 months is mostly a trade-off between reducing ischemic event and bleeding event with unclear results on all-cause mortality [19, 20]. In BMS, little has been investigated for the clinical benefit in the use of DAPT for 6 month or longer period. In DAPT trial, continuing DAPT for an additional 18 months compared with placebo among patients with BMS and who tolerated 12 months of DAPT did not result in better clinical outcome, albeit the result was underpowered [21]. In LEADERS FREE trial and a subsequent meta-analysis, polymer-free DES was superior to BMS in patients at high bleeding risk and with 1 month of DAPT [7, 22]. We estimated the DAPT duration based on the PDC ≥ 80%. PDC might be best alternative method that can be applied for large administrative database. EPICOR, a large international prospective observational DAPT duration study, has shown that the use of DAPT decreased gradually but not abruptly across time, and DAPT duration was highly heterogenous among nations [23]. In our study, the cause of DAPT cessation or bleeding was not identified due to limited resource. Further work would be required to discriminate disruption, interruption, and discontinuation of DAPT and their impact on the clinical outcome in large database [2, 24]. Our study did not exclude any high risk patients, which was reflected in apparently high clinical event rate. Interestingly, the 5-year risk of revascularization in our study was 16.7% in DES and 15.6% in BMS, which was numerically comparable to the 6-year risk of revascularization in NORSTENT, 16.5% in DES and 19.8% in BMS [6]. In our study, there was 0.8-fold reduction of clinical composite endpoint in DES compared with BMS in propensity-matched analysis (HR = 0.80, 95% CI = 0.70–0.91), which was numerically similar to those of large meta-analysis (HR = 0.84, 95% CI = 0.78–0.90) [6]. These findings suggest that higher clinical event rate in our study might be driven by underlying higher clinical risk profile rather than coronary lesion or stent characteristics.

Limitations

The source data was administrative claims which lacked of codes for specific conditions and might not capture patient reported outcome. The data was used as it is without any additional validation study. Although we used multivariable and propensity-modeling analyses, the retrospective observational nature of the data limits mitigation of unmeasured confounding variables, and the identification of causal relationship among choice of stents and clinical outcome. Calculated medication adherence does not represent clinically determined need or cessation of DAPT. The detailed clinical data including severity of disease, laboratory tests, or life styles such as smoking were not available. Myocardial infarction or stent thrombosis were not defined because the results of cardiac biomarkers, electrocardiography, or coronary angiography were not available in administrative database. Instead, we assessed death, revascularization, and shock, which can represent severe complications of myocardial infarction.

Conclusions

In this real-world cohort data of patients undergoing PCI, DES was better than BMS in the 5-year composite outcome of death and non-fatal hard clinical events including revascularization, shock, and stroke. Good medication adherence to DAPT in the first 6 month was prerequisite for better clinical outcome in both DES and BMS.

Discriminative performance and balance of propensity score model using clinical parameters for DES or BMS.

(PDF) Click here for additional data file.

Propensity score-matched 5-year risk of clinical event.

(PDF) Click here for additional data file.

Comparison of DES with BMS in clinical subgroups.

(PDF) Click here for additional data file.

Landmark analysis of the impact of medication adherence to dual antiplatelet therapy on the propensity score-matched 5-year risk of clinical event.

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Clinical outcome.

(DOCX) Click here for additional data file.

Comparison of PDC subgroup in the propensity score-matched 5-year risk of clinical event classified by PDC of DAPT.

(DOCX) Click here for additional data file.

Administrative codes used for retrieve of clinical condition or procedure.

(DOCX) Click here for additional data file.

STROBE statement checklist of items (version 4) for the report of cohort study.

(DOCX) Click here for additional data file.
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