Skip to main content

The stent thrombosis in Belgium (STIB) scoring system reliability in Indonesia patients and the modified STIB scoring (M-STIB)

Abstract

Introduction

Clopidogrel is recommended as an alternative to Acetyl Salicylic Acid (ASA), the first-line drug for secondary stroke prevention. Clopidogrel resistance in Indonesia is reportedly 15.8%. The Stent Thrombosis in Belgium (STIB) is a scoring system proposed to assess clopidogrel resistance which has not been tested for the reliability in Indonesian population.

Objectives

The objective of the study is to test the reliability of the STIB scoring and modified-STIB scoring system in Indonesian population.

Methods

This study was conducted cross-sectionally in Dr. Cipto Mangunkusumo Hospital and Universitas Indonesia Hospital from January 2020 to December 2021. Laboratory examinations of human CYP450 concentration in blood plasma from 112 subjects were carried out using the ELISA method. The clopidogrel resistance test was carried out using the VerifyNow method.

Results

Out of 112 ischemic stroke patients in this study, 14.3% of them did not respond to clopidogrel. Cross-tabulation between the STIB score and clopidogrel resistance showed significant results (p < 0.05) on the Hb variable and a combination of two or three factors involving Hb levels. Both Hb and CYP450 levels can be independent factors predicting clopidogrel resistance. Once combined, the Hb and CYP450 cutoff levels of 458.9 pg/mL had a sensitivity of 100% with a specificity of 30.2%.

Conclusions

STIB scoring system did not prove to be reliable in screening for Clopidogrel resistance in Indonesian population. The modified STIB scoring system proposed in this study showed a promising result. Further research with larger population should be conducted.

Introduction

The leading cause of disability and death worldwide is stroke [1]. In Indonesia, the 2013 Basic Health Research (Riskesdas) reported the prevalence of stroke was 7% and increased to 10.9% in 2018 [2].

A recurrent stroke is an acute vascular event after the stabilization of the previous stroke [3]. The rate of recurrent stroke ranges from 7 to 20% in the first year and increases after 5 years by 16–35% [4, 5]. The recurrent stroke rate in Indonesia was 19.9% [6]. To avoid stroke recurrence, adequate secondary preventive management is required, where oral antiplatelet drugs are recommended to be administered within the first 24–48 h after the first stroke onset [7, 8].

Acetyl Salicylic Acid (ASA) is recommended as the first-line drug to prevent recurrent stroke (secondary prevention) [9]. Clopidogrel is recommended as an alternative in cases of intolerance or contraindication to ASA [10]. Clopidogrel is a prodrug that will be converted into active metabolites by cytochrome P450 in the liver. The active metabolite of clopidogrel will inhibit platelet aggregation induced by Adenine di-phosphate (ADP) [11]. ADP or its receptors may be affected by several factors that result in a decreased response to clopidogrel, which may alter the blockage of ADP receptors through several processes known as clopidogrel resistance [12]. Clopidogrel resistance in Chinese–Americans is reported to be relatively high (68–73%), which is thought to be because nearly 50% of Asians are missing an allele of genetic function that can reduce the response to clopidogrel [13].

VerifyNow is light transmission aggregometry which frequently utilized to test clopidogrel resistance. However, it is relatively expensive in Indonesia, costing roughly $150. Stent Thrombosis in Belgium (STIB) is one of several scoring systems developed to measure clopidogrel resistance and is anticipated not to require a VerifyNow assessment. The STIB scoring system identifies a history of diabetes mellitus, a body mass index (BMI) of > 28 kg/m2, and hemoglobin (Hb) level below 13.9 g/dL as the three characteristics that predict clopidogrel resistance [14]. The presence of two or three risk factors correspond to 62.6% or 77.8% clopidogrel resistance, respectively. Clopidogrel monotherapy is not an option if the STIB score indicates resistance [14]. Due to the high expense of VerifyNow testing for clopidogrel resistance, the researchers conducted a study to measure the reliability of STIB scoring in Indonesian patients and attempted to modify the STIB scoring system.

Methods

The Neurology Outpatient Clinic of Cipto Mangunkusumo Hospital (RSCM) and Universitas Indonesia Hospital (RSUI) hosted the cross-sectional study in 2020 and 2021. The researchers employed a sequential sampling approach to choose the participants. Patients who experienced either a primary or recurrent ischemic stroke and had been administered clopidogrel for at least 5 days qualified for inclusion in this study. Patients with a history of clopidogrel allergy, impaired renal function, blood coagulation disorders, and certain medications administration, including omeprazole, esomeprazole, and atorvastatin, were excluded from the study (Fig. 1). Statistical analyses were conducted using IBM SPSS Statistics (Version 26) and presented descriptively. Bivariate analysis was performed to determine the correlation between various variables and CPG resistance. Chi-square analysis was conducted and p value of < 0.05 was deemed significant.

Fig. 1
figure 1

Subject screening

Human CYP450 analysis was conducted in Pharmacology Laboratory in Universitas Indonesia by the standards of the Indonesian Ministry of Health. CYP450 concentration was measured using ELISA method, which has high sensitivity and specificity to detect human CYP450 [15]. P2Y12 reaction units (PRU) with a cutoff of > 208 was deemed inadequate response (resistant).

Results

Based on 112 subjects’ epidemiological characteristics of the studied patients (Table 1), it was found that in this study, most of the subjects were men (58.9%), < 68 years (88.4%), and with BMI < 28 (76.8%). Adjusting to the participant characteristics of this study, the researchers made additional cutoffs for age of > 57 years and BMI of > 25.

Table 1 Epidemiological and clinical characteristics of the studied ischemic stroke patients

The subjects were examined for clopidogrel resistance and laboratory and radiological examinations. According to the test results, 16 subjects (14.3%) did not react to clopidogrel (Table 2). The subjects with FBG 100 were ≥ 62.5%, total cholesterol ≥ 200 was 43.8%, HDL ≥ 60 was 71.4%, LDL ≥ 100 was 76.8%, and triglycerides ≥ 150 were 58.0% (Table 2).

Table 2 Clopidogrel resistance results and laboratory examinations

The hemoglobin level, BMI, and history of diabetes were cross-tabulated on the clopidogrel resistance data to create the STIB score variable. The STIB score was included in the cross-tabulation component as the three factors crossed, two, and three factors combined. Significant correlations between clopidogrel resistance and Hb, Hb+BMI, and Hb+DM were found (p < 0.05) (Table 3).

Table 3 Cross tabulation results between STIB score and resistance variables

This study proposed a modification of the STIB score by looking at several prognostic factors. The results of cross-tabulation of various prognostic variables against clopidogrel resistance with a p value of < 0.25 can be seen in Table 4. Based on the result, it was also found that there was a significant correlation (p < 0.05) between clopidogrel resistance and hemoglobin levels and CYP450 concentrations with a cutoff of 458.9 pg/mL.

Table 4 Cross tabulation results between prognostic variables and clopidogrel resistance with p value < 0.25

To determine the correlation between prognostic variables and clopidogrel resistance, multivariate analysis in the form of linear regression was subsequently conducted on the prognostic variables with p value of < 0.25 (Table 4). Based on multivariate analysis, the hemoglobin (p = 0.003) and CYP450 cutoff of 458.9 pg/mL (p = 0.004) both had a significant correlation.

Between these two variables, each of them had the potential to independently predicts clopidogrel resistance. Hb 13.9 g/dL and CYP450 458.9 pg/mL were thus combined to test how the two variables performed as an assessment component in the modified STIB score (Table 5). The combined sensitivity and specificity of the Hb and CYP450 cutoff levels of 458.9 pg/mL were 100% and 30.2%, respectively.

Table 5 Relationship between independent prognostic variables on clopidogrel resistance

Discussion

This study assessed clopidogrel resistance using VerifyNow. The mean and median yielded 115.2 PRU and 105.5 PRU, respectively. These results indicated that the subjects of this study have an excellent response to clopidogrel (85.7%), meaning that the Indonesian population is sensitive to clopidogrel administration. Only a few subjects (14.3%) did not respond to clopidogrel. Similar results were found in a preliminary study by Hidayat and colleagues [15] which the number of resistances was only found in 9 people (15.8%) [15]. These results differed from the two previous studies, the STIB study in Belgium and the GRAVITAS study in the United States (50.2% and 40.8%, respectively) perhaps due to the difference in baseline characteristics and genetic makeup [16].

Most subjects were male (58.9%) and under 68 years (88.4%), with the median and mean being 57.5 and 57.14 years, respectively. The age restriction for the STIB score was 68 years (p 0.05), yet Belgium, the nation that created the STIB score, has an 81.75-year life expectancy. The mean age of this study was 57 years, while the average life expectancy in Indonesia was 71.2 years [2]. The study also found that the subjects were dominated by a BMI score of < 28 kg/m2 (76.8%).

It was found that 33% subjects in this study were diabetics. It was per the results of a previous study by Lau et al. [17], who reported that 1 in 3 stroke patients (24.7–56.2%) did not have diabetes. It contradicted the Indonesian registry data, where 24% of ischemic stroke patients have DM [18].

The BMI, Hb levels, and DM components comprised the STIB score. In other words, DM symptoms, BMI readings above 28 kg/m2, and hemoglobin levels below 13.9 g/dL predicted an elevated risk of clopidogrel resistance. According to a recent study by Nie et al. [19], BMI scores did not significantly correlate with clopidogrel resistance (p = 0.921). The study by Legrand et al. [20] and Price et al. [21], which revealed a significant correlation, was distinct from the study. In contrast to the Indonesian population, which had a lower BMI, they obtained the mean BMI of the non-resistant group at 27 kg/m2, the unresponsive group at 28 kg/m2, the median score of the non-resistant group at 29 kg/m2, and the unresponsive group at 31 kg/m2. There was a difference that reached 3–4 kg/m2 with the Indonesian population which might affect the BMI variable in the Indonesian population to not be a factor that affects clopidogrel resistance.

According to this study, the Hb level was an independent factor that could raise the risk of clopidogrel resistance by 19 times if it was ≤ 13.9 g/dL (p = 0.003). Previous findings confirmed that the average Hb level in the clopidogrel resistance group was 13.6 g/dL (p = 0.001) [20].

Our findings on the correlation of DM comorbidity and HbA1c level with clopidogrel resistance were in line with Liu et al. [22] and Nie et al. [19], who also found no significant correlation between the two variables (p > 0.05). The studies by Legrand and colleagues [14] and Price et al. [20], which demonstrated a significant correlation (p = 0.05), had different results. It was assumed that variations in the mean scores caused variance in the result. In this study, the non-resistant and resistant groups had mean HbA1C values of 6.6% and 6.3%, respectively, compared to 6.0% and 6.3% in previous study [14, 20].

The cross-tabulation of the STIB score variable with clopidogrel resistance in this study showed that only Hb levels had a significant correlation (p < 0.001). In this study, the highest sensitivity was obtained by Hb levels (93.8%), but the highest specificity was BMI > 28 kg/m2 (76%). These results indicated that the reliability of the STIB study was not justified, because only Hb levels obtained a high sensitivity score. Low haemoglobin levels, a high body mass index, and a history of diabetes revealed an insignificant correlation (p = 0.053) but had a high sensitivity value (93.85%). This demonstrated that the STIB scoring was only consistently reliable for Hb and inconsistent for the other variables. This demonstrated that clopidogrel resistance in the Indonesian population could not be determined only based on the STIB score.

The STIB score was adjusted in this study to become the modified-STIB score (mSTIB) by adding CYP450 level as one of the components. Except for CYP450, which was determined to be involved in drug metabolism, none of the evaluated risk factors demonstrated a significant correlation with clopidogrel resistance. According to the results of the genetic analysis, the median score of CYP450 was 407.63 pg/mL, and the mean score was 874.5 pg/mL in the group with a normal response to clopidogrel. The synthesis of modified STIB may have been affected by CYP450 levels in this study (p = 0.005). The modification of Hb+CYP450 displayed a very high sensitivity in the STIB test. When paired with the Hb value, this study discovered a cutoff CYP450 concentration of 458.9 pg/mL with a sensitivity value of 100% and a specificity value of 30.2%. Given that CYP450 testing was reasonably inexpensive, these findings suggested that it can be recommended as one of the prognostic tests for clopidogrel users. However, the number of the subject was not adequate enough to conclude CYP450 as one of the factors to predict CPG resistance.

Conclusion

The STIB score was not reliable to screen for CPG resistance in Indonesian population. The STIB score was not advised for Indonesian patients with poor resistance rate unless they had a history of recurrent stroke, were taking medications regularly, and had no hematological or cardiac abnormalities. This study attempted to suggest a modified STIB scoring by adding CYP450 level of ≥ 458.9 pg/mL and showed a promising result. Further research should be conducted with larger number of subjects.

Availability of data and materials

The data sets generated and analyzed during the current study are not publicly available due to institutional limitations, yet they are available from the corresponding author on reasonable request.

Abbreviations

ADP:

Adenosine diphosphate

ALT:

Alanine aminotransferase

ASA:

Acetyl salicylic acid

AST:

Aspartate aminotransferase

BMI:

Body mass index

CI:

Confidence interval

CYP450:

Cytochrome P450

DM:

Diabetes mellitus

ELISA:

Enzyme-linked immunosorbent assay

FBG:

Fasting blood glucose

GRAVITAS:

Gauging Responsiveness with a VerifyNow P2Y12 Assay, Impact on Thrombosis and Safety

Hb:

Hemoglobin

HbA1c:

Hemoglobin A1c

HDL:

High-density lipoprotein

LDL:

Low-density lipoprotein

Max:

Maximum

Min:

Minimum

M-STIB:

Modified Stent Thrombosis in Belgium Scoring

OR:

Odd ratio

PRU:

P2Y12 reaction units

Riskesdas:

Riset Kesehatan Dasar (Basic Health Research)

RSCM:

Rumah Sakit Dr. Cipto Mangunkusumo (Dr. Cipto Mangunkusumo Hospital)

RSUI:

Rumah Sakit Universitas Indonesia (Universitas Indonesia Hospital)

SD:

Standard deviation

STIB:

Stent Thrombosis in Belgium

References

  1. Sacco RL, Kasner SE, Broderick JP, Caplan LR, Connors JJ, Culebras A, et al. An updated definition of stroke for the 21st century. Stroke. 2013;44(7):2064–89.

    Article  PubMed  Google Scholar 

  2. Kementerian Kesehatan Republik Indonesia Badan Penelitian dan Pengembangan. Hasil Utama Riskesdas; 2018.

  3. Modrego PJ, Pina MA, Fraj MM, Llorens N. Type, causes, and prognosis of stroke recurrence in the province of Teruel, Spain. A 5-year analysis. Neurol Sci Off J Ital Neurol Soc Ital Soc Clin Neurophysiol. 2000;21(6):355–60.

    CAS  Google Scholar 

  4. Boulanger M, Béjot Y, Rothwell PM, Touzé E. Long-term risk of myocardial infarction compared to recurrent stroke after transient ischemic attack and ischemic stroke: systematic review and meta-analysis. J Am Heart Assoc. 2018;7(2): e007267.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Mohan KM, Wolfe CDA, Rudd AG, Heuschmann PU, Kolominsky-Rabas PL, Grieve AP. Risk and cumulative risk of stroke recurrence: a systematic review and meta-analysis. Stroke. 2011;42(5):1489–94.

    Article  PubMed  Google Scholar 

  6. Misbach J, Ali W. Stroke in Indonesia: a first large prospective hospital-based study of acute stroke in 28 hospitals in Indonesia. J Clin Neurosci Off J Neurosurg Soc Australas. 2001;8(3):245–9.

    CAS  Google Scholar 

  7. Powers WJ, Rabinstein AA, Ackerson T, Adeoye OM, Bambakidis NC, Becker K, et al. 2018 guidelines for the early management of patients with acute ischemic stroke: a guideline for healthcare professionals from the American heart association/American stroke association. Stroke. 2018;49(3):e46-99.

    Article  PubMed  Google Scholar 

  8. Giles MF, Rothwell PM. Risk of stroke early after transient ischaemic attack: a systematic review and meta-analysis. Lancet Neurol. 2007;6(12):1063–72.

    Article  PubMed  Google Scholar 

  9. Oza R, Rundell K, Garcellano M. Recurrent ischemic stroke: strategies for prevention. Am Fam Physician. 2017;96(7):436–40.

    PubMed  Google Scholar 

  10. Pepine CJ. Aspirin and newer orally active antiplatelet agents in the treatment of the post-myocardial infarction patient. J Am Coll Cardiol. 1998;32(4):1126–8.

    CAS  PubMed  Google Scholar 

  11. Clarke TA, Waskell LA. The metabolism of clopidogrel is catalyzed by human cytochrome P450 3A and is inhibited by atorvastatin. Drug Metab Dispos Biol Fate Chem. 2003;31(1):53–9.

    Article  CAS  PubMed  Google Scholar 

  12. Bonello L, Tantry US, Marcucci R, Blindt R, Angiolillo DJ, Becker R, et al. Consensus and future directions on the definition of high on-treatment platelet reactivity to adenosine diphosphate. J Am Coll Cardiol. 2010;56(12):919–33.

    Article  CAS  PubMed  Google Scholar 

  13. Hasan MS, Basri HB, Hin LP, Stanslas J. Genetic polymorphisms and drug interactions leading to clopidogrel resistance: why the Asian population requires special attention. Int J Neurosci. 2013;123(3):143–54.

    Article  CAS  PubMed  Google Scholar 

  14. Legrand D, Barbato E, Chenu P, Magne J, Vrolix M, Wijns W, et al. The STIB score: a simple clinical test to predict clopidogrel resistance. Acta Cardiol. 2015;70. https://orbi.uliege.be/handle/2268/189887.

  15. Hidayat R, Nabilah RA, Rasyid A, Harris S, Harahap AR, Herqutanto H, et al. Clopidogrel resistance among ischemic stroke patients and its risk factors in Indonesia. Acta Medica Acad. 2022;51(1):29–34.

    Article  Google Scholar 

  16. Schuette C, Steffens D, Witkowski M, Stellbaum C, Bobbert P, Schultheiss HP, et al. The effect of clopidogrel on platelet activity in patients with and without type-2 diabetes mellitus: a comparative study. Cardiovasc Diabetol. 2015;14:15.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Lau LH, Lew J, Borschmann K, Thijs V, Ekinci EI. Prevalence of diabetes and its effects on stroke outcomes: a meta-analysis and literature review. J Diabetes Investig. 2019;10(3):780–92.

    Article  PubMed  Google Scholar 

  18. Harris S, Kurniawan M, Rasyid A, Mesiano T, Hidayat R. Cerebral small vessel disease in Indonesia: lacunar infarction study from Indonesian Stroke Registry 2012–2014. SAGE Open Med. 2018;6:2050312118784312.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Nie XY, Li JL, Zhang Y, Xu Y, Yang XL, Fu Y, et al. Haplotype of platelet receptor P2RY12 gene is associated with residual clopidogrel on-treatment platelet reactivity. J Zhejiang Univ Sci B. 2017;18(1):37–47.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Legrand D, Barbato E, Chenu P, Magne J, Vrolix M, Wijns W, et al. The STIB score: a simple clinical test to predict clopidogrel resistance. Acta Cardiol. 2015;70(5):516–21.

    Article  PubMed  Google Scholar 

  21. Price MJ, Berger PB, Teirstein PS, Tanguay JF, Angiolillo DJ, Spriggs D, et al. Standard- vs high-dose clopidogrel based on platelet function testing after percutaneous coronary intervention: the GRAVITAS randomized trial. JAMA. 2011;305(11):1097–105.

    Article  CAS  PubMed  Google Scholar 

  22. Liu R, Zhou ZY, Chen YB, Li JL, Yu WB, Chen XM, et al. Associations of CYP3A4, NR1I2, CYP2C19 and P2RY12 polymorphisms with clopidogrel resistance in Chinese patients with ischemic stroke. Acta Pharmacol Sin. 2016;37(7):882–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The authors thanked Universitas Indonesia for funding this research through the PUTI Grant with contract number of NKB-2282/UN2. RST/HKP.05.00/2020.

Funding

This research funding by Universitas Indonesia through the PUTI Grant. Contract number NKB-3252/UN2.RST/HKP.05.00/2020.

Author information

Authors and Affiliations

Authors

Contributions

RH contributed to the drafting of the manuscript and its revision. Other authors contributed to providing guidance on the conception and design of the study. All authors participated in the analysis and interpretation of the data. All authors agree to take responsibility for all aspects of the work in ensuring that questions relating to the accuracy or integrity of any part of the work are properly investigated and resolved.

Corresponding author

Correspondence to Rakhmad Hidayat.

Ethics declarations

Ethics approval and consent to participate

The ethical aspect of this study has been approved by the Research Ethics Committee Faculty of Medicine Universitas Indonesia No. KET-658/UN2/F1/ETIK/PPM.00.02/2020 and has been granted permission for execution by Cipto Mangunkusumo Hospital. Written informed consent has been obtained from all subjects that are included in this study.

Consent for publication

Not applicable.

Competing interests

All authors report no conflict of interest and are alone responsible for the content and the writing of the article.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hidayat, R., Rasyid, A., Harris, S. et al. The stent thrombosis in Belgium (STIB) scoring system reliability in Indonesia patients and the modified STIB scoring (M-STIB). Egypt J Neurol Psychiatry Neurosurg 59, 108 (2023). https://doi.org/10.1186/s41983-023-00712-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s41983-023-00712-9

Keywords