alexa Diagnostic Test of Platelet Lymphocyte Ratio for Screening of Complex Coronary Lesion in Different Age Group of Acute Coronary Syndrome

ISSN: 2329-9517

Journal of Cardiovascular Diseases & Diagnosis

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Diagnostic Test of Platelet Lymphocyte Ratio for Screening of Complex Coronary Lesion in Different Age Group of Acute Coronary Syndrome

Irma Wahyuni1*, Sally Aman Nasution2, Ika Prasetya Wijaya2, Lugyanti Sukrisman3 and Cleopas Martin Rumende4
1Faculty of Medicine, Department of Internal Medicine, Universitas Indonesia-Cipto Mangunkusumo Hospital, Indonesia
2Faculty of Medicine, Division of Cardiology, Department of Internal Medicine, Universitas Indonesia-Cipto Mangunkusumo Hospital, Indonesia
3Faculty of Medicine, Division of Medical Hematology and Oncology, Department of Internal Medicine, Universitas Indonesia-Cipto Mangunkusumo Hospital, Indonesia
4Faculty of Medicine, Division of Pulmonology, Department of Internal Medicine, Universitas Indonesia-Cipto Mangunkusumo Hospital, Indonesia
*Corresponding Author: Irma Wahyuni, Faculty of Medicine, Department of Internal Medicine, Universitas Indonesia-Cipto Mangunkusumo Hospital, Indonesia, Tel: +6281320391001, Email: [email protected]

Received Date: Apr 17, 2018 / Accepted Date: Aug 04, 2018 / Published Date: Aug 09, 2018

Abstract

Background: Increasing of ACS case with complex coronary lesion and in increase needs of CABG, we need tools to help in stratification of high risk patient that can be used in daily clinical practice, and even can be used in first line of health care facilities in Indonesia. By doing early stratification of high risk patient, hopefully it can decrease the morbidity and mortality in ACS cases.
Aim: Evaluate diagnostic accuracy of PLR in identifying a complex coronary lesion and optimal cut-off point of PLR between ≤ 45 years old group and >45 years old group subjects.
Method: This is a cross sectional study which was conducted retrospectively in ACS patients from January 2012 until July 2015. The inclusion criteria are adult ACS patients (age ≥18 years old) diagnosed with ACS and who underwent coronary angiography during hospitalization. The diagnostic accuracy was determined by calculating the sensitivity, specificity, Positive Likelihood Ratio (LR+), and Negative Likelihood Ratio (LR-). The cut-off point was determined using ROC curve.
Results: The proportion of complex coronary lesion in this study was 47.2%. The optimal cut-off point in ≤ 45 year’s old group was 111.06 with sensitivity, specificity, LR+, and LR─ respectively 91.3%, 91.9%, 11.27 and 0.09. The optimal cut-off points in >45 years old groups was 104,78 with sensitivity, specificity, LR+, and LR─ respectively 91.7%, 58.6%, 2.21 and 0.14.
Conclusion: The optimal cut-off point of ≤ 45 years old groups is 111.06 and for >45 years old group is 104.78 with AUC 93.9% (p<0.001) 77.3% (p<0.001), respectively.

Keywords: PLR; Complex coronary lesion; Gensini score; ACS

Introduction

Cardiovascular disease was 5th causes of death worldwide, both in developed country or developing country. About 80–90% deaths in cardiovascular disease was due to coronary artery disease (CAD) [1,2]. From RISKESDAS, a national research program in 2013, the prevalence of CAD increasing from 0.9% in 2007 to 1.5% [3]. This prevalence also increasing respectively with age of the patients. Acute coronary syndrome (ACS) causing high rate hospitalization and mortality. In Indonesia there are 1009 cases admitted to intensive coronary care unit (ICCU) Dr. Cipto Mangunkusumo National Referral Hospital within 3 years with mortality rate 17.5% on 2010 [4].

Acute coronary syndrome increase risk of death through various mechanisms that somehow related to complexity of lesion involved. From preliminary study in 2015, there is increasing need for performing early Percutaneous Coronary Intervention (PCI) each year, and there for also increasing needs for Coronary Artery Bypass Graft (CABG). Thus condition shows that there are more complex lesion patient was admitted to the ICCU unit [5]. Age as the unmodifiable factor in ACS, that have increased incidence of it in age > 45 years old in man and > 55 years old in woman [6]. Trip et al. [7] said that there is increasing incidence of death in age > 60 years old (28.9% RR 1.5). The incidence of ACS in young adults is lesser, but it seems like increasing lately. In Indonesia several studies shows that there are high proportion of young adults with ACS compare to previous study [8-11]. Spectrum of the ACS itself was changing in young adults from UAP to STEMI.

The role of inflammation in predicting bad outcome in ACS patient was known before; it is related to more complex lesion, increasing mortality risk and major adverse cardiac event (MACE) [12-14]. Inflammatory that has been investigated is less applicable due to lack of funding. As an alternative, platelet lymphocyte ratio (PLR) was more accessible and can describe inflammatory process, and in can be used in cardiovascular cases [15]. The changes of platelets and lymphocyte during acute stress give a simple picture of the inflammatory process involved. This is an easy and applicable tool of examination in clinical practice as an inflammatory marker that give an prognostic value on cardiovascular patient [16-20]. Thus increasing of the complexity of the lesion also related to high risk of MACE [21].

Last several years there are increasing in PCI needs and stratification of the patient who needs it was crucial. It is not only determined by the clinical condition of the patient, but PLR also can be used to help in the decision making. PLR value in Indonesia not similar to other countries due to different geographically, different individual and genetic characteristic, habits, and chronic infection pattern. The role of inflammation in each age group is also different. As explain before, there for we can conclude that PLR potential for indentified whether an ACS patient having a complex coronary lesion or not. Previous study [16,18-21] only use one cut-off point in all ages, but since there are changing of the ACS spectrum in young adults, there for need a further evaluation for accuracy of using PLR and find the optimal cut-off point that can be used in daily practice.

Research Methodology

The design of our study was a cross sectional diagnostic study that using secondary data from medical records in ICCU Dr. Cipto Mangunkusumo Hospital from 2012 – 2015. Data was collected in end of 2015 and by total population sampling. Inclusion was, (1) Age >18, (2) ACS patient whose undergo PCI during admission. The exclusion criteria including, (1) Incomplete data of leukocyte, platelets, differential count of leukocyte, urinalysis, chest x-ray, and angiography data, (2) onset less than 1 hour and more than 48 hours, (3) hematology abnormalities : aplastic anemia, leukemia, thrombocytopenia (platelets<150.000/mm3), polycythemia Vera, (4) malignancy or autoimmune diseases : systemic lupus erythematous (SLE), Idiopathic thrombocytopenia purpura (ITP), Autoimmune Hemolytic Anemia (AIHA), rheumatoid arthritis, and scleroderma with or without steroids, (5) Using systemic steroids, (6) Active infection, tuberculosis, sepsis, chronic infection such as HBV, HCV, and HIV, (7) history of CABG.

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Data analysis was performed using SPSS version 21.0. The PLR was calculate by equation value that compared to Gensini score 22.23 was presented in Area under Curve (AUC) based on Receiver operating characteristic (ROC) and cut-off points. The results than explains in sensitivity (Se), specificity (Sp), positive predictive value (PPV), and negative predictive value (NPV). This study has been approved by the Ethical Committee, Faculty of Medicine, University of Indonesia, by the registration number 921/UN2.F1/ETIK/2015 on October, 19th 2015.

Results

During the study, there are 996 patient with ACS admitted to ICCU unit. About 871 patient was excluded from the study due to infection (274), malignancy (98), autoimmune and hematology abnormalities (99), the incorrect onset of illness (154) and history of CABG (46). Total patient who submitted to the study was 125 patients.

From 125 subject of the study, the proportion of complex coronary lesion with Gensini score (>53) was 47.2% and Gensini score (≤ 53) was 52.8%. The characteristic of the subject was explained in next table. From the study there are 48% patients was ≤ 45 years old and 52% was above 45 years old. In ≤ 45 years old group there are 38.3% patient having high Gensini score, whereas there are 55.4% of high Gensini score found in >45 years old group (Table 1).

Characteristics ≤45 years old  (n=60) >45 years old  (n=65)
Gensini >53
 (n=23)
Gensini ≤53
 (n=37)
Gensini >53
 (n=36)
Gensini ≤53
 (n=29)
Gender, n  (%)
     Male 20  (87) 22  (59.5) 28  (77.8) 21  (72.4)
     Females 3  (13) 15  (40.5) 8  (22.2) 8  (27.6)
Age, mean  (SD) 42 ± 3 42 ± 3 62 ± 8 62 ± 9
IMT, mean  (SD) 26.1 ± 3.9 26.0 ± 3.5 24.7 ± 2.7 24.7 ± 4.1
ACS type, n  (%)
STEMI 14 (60.9) 11 (29.7) 18  (50.0) 10 (34.5)
NSTEMI 3 (13.0) 8 (21.6) 12 (33.3) 3 (10.3)
UAP 6 (26.1) 18 (48.6) 6 (16.7) 16 (55.2)
PLR, mean  (SD) 171.08 ± 83.54 88.51 ± 24.28 209.91 ± 164.45 133.01 ± 108.22
Platelets, median  (range) 225.000
(102.000-659.000)
290.000
(109.000-1.148.000)
262.500
(147.000-736.000)
242.000
(124.000-330.000)
Absolut lymphocyte, mean  (SD) 2369.6 ± 1241.7 2488.5 ± 1115.2 1982.1 ± 1270.9 1900.8 ± 1083.9
Gensini score, mean  (SD) 169.3 ± 74.1 18.9 ± 16.9 161.0 ± 72.7 25.0 ± 17.9
Comorbidities, n  (%)
DM 7  (30.4) 12  (32.4) 14  (38.9) 4  (13.8)
Hypertension 13  (56.5) 9  (24.3) 23  (63.9) 16  (55.2)
Dyslipidemia 18  (78.3) 29  (78.4) 25  (69.4) 23  (79.3)
Family History of   CHD 5 (21.7) 5 (13.5) 9 (25.0) 13 (44.8)
Smoking. n  (%) 10  (43.5) 7  (18.9) 13  (36.1) 9  (31.0)
LDL, median  (range) 113  (50 – 335) 114  (48-165) 116.19 ± 38.44 107.79 ± 36.16
HDL, median  (range) 40  (15-59) 37  (15 – 64) 41  (22 – 70) 39  (11-72)
Total cholesterol. median  (range) 188  (114 – 446) 174  (58-264) 178.5 ± 44.82 164.59 ± 39.21
Trygliserida, median  (range) 140  (56-313) 146  (58-383) 106  (52 – 390) 128  (43-353)
Uric Acid, mean  (SD) 7.9 ± 2.3 6.9 ± 3.0 8.1 ± 1.9 7.1 ± 2.9
LFG, mean  (SD) 82.3 ± 27.2 72.6 ± 36.2 56.1 ± 23.3 63.1 ± 23.4

Table 1: Study subject characteristic based on age group.

The mean of PLR of high Gensini score on both group was different, there are higher PLR mean in younger age group 171.08 ± 83.54 compared to older groups 209.91 ± 164.45.

Using ROC curve we calculate the PLR cut-off point that can be used in predicting complex coronary lesion or high Gensini score of ACS patient in ≤ 45 year’s old group. Based on ROC, the AUC was 93.3% (CI 95% 87.4 – 100) with p-value<0.001 (Figure 1). There are 60 cut-off points with their each sensitivity and specificity. The optimal cut-off point was found in 37th data which are 111.06 with 91.3% sensitive, 91.9% specific, PPV 87.5%, NPV 94.4%, positive LR 11.27, and negative LR 0.09. According to the result the accuracy of 111.06 is good and can be used as optimal cut-off point in this age group (Figure 1).

cardiovascular-diseases-point-based-age

Figure 1: ROC curve and PLR cut-off point based on age groups.

Based on ROC curve on > 45 years old age group, the AUC of PLR was 77.3% (CI 65,1, 1 – 89,5) with p-value<0.001 (Figure 1) From 65 cut-off point, the optimal cut-off point in this group was 104.78. Respectively the sensitivity, specificity, PPV, NPV, positive LR, and negative LR are 91.7%, 58.6%, 73.3%, 85%, 2.21 and 0.14. Result data shown in Table 2.

Age group PLR cut off point Sn, %  (95% CI) Sp, %  (95% CI) PPV, %  (95% CI) NPV, %  (95% CI) Pos Likelihood ratio,
 (95% CI)
Neg. Likelihood ratio
 (95% CI)
≤  45 111.06 91.3
(71.96 – 98.9)
91.9
(78.1 – 98.3)
87.5
(67.7 – 97.4)
94.4
(81.3 – 99.3)
11.27
(3.8 – 33.6)
0.09
(0.03 – 0.36)
> 45 104.78 91.7
(77.5 – 98.3)
58.6
(38.9 – 76.5)
73.3
(58.1 – 85.4)
85
(62.1 – 96.8)
2.21
(1.42 – 3.45)
0.14
(0.05 – 0.44)

Table 2: Comparison of PLR ratio between age groups based on ROC curve.

Discussion

From this study, there are 125 subjects consist of 72.8% males and 27.2% females. The data is similar with previous study, where there are high incidence of ACS founds in male patient rather than females [1]. The median age of subjects was 48 years old, with the youngest was 33 years old and the oldest was 80 years old. This characteristic is different from the previous theory where is state that the ACS incidence is increase in patient > 45 years old (male) or > 55 years old (females), in this study event of ACS happen as youngest as 33 years old. From the study there are quite different of age related complex lesion was found, which is differ from previous study that state no significant relation between age and complex lesion [22-26].

The study also shows that proportion of ACS in age <45 years old as much as 48%, and it is higher than other descriptive study that performed in Indonesia, which is 22, 2% in Cipto Mangunkusumo Hospitals during 2008 – 2012 and 13,5% in Sardjito Hospital in 2014 [10-11]. This proportion also higher than other ACS in young adult in general population (2–10%) [8]. The data might be due to exclusion criteria that exclude infection since infection usually found as comorbid on older patient with ACS. The shifting of onset of the illness maybe due to shifting of risk factor of ACS in Indonesia. It state in latest RISKESDAS that there are shifting of CAD risk factor such as smoking, sedentary life style, and obesity which the biggest proportion was found in ages 30 – 50 years old [8,27-30]. This is different from the previous data which that risk factor was seen highest in age > 45 [24]. The shifting of CAD risk factor also shifts the age of ACS onset on the population. There for should increase our awareness.

Median PLR in high Gensini group was higher (146.54 vs. 89.57), this supporting the pathophysiology of ACS that states inflammatory burden related to complexity of the lesion. Several previous studies shows that there are relation between increasing of PLR to the complex coronary lesion, but those studies using tools that not quite represent the coronary lesion complexity. In the other hands, the cutoff point that found was different in each study, that shows different region might be influenced by different inflammatory burden. Those differences make it difficult on using in to clinical practice in our region [24,25,27].

ST elevation myocardial infarction (STEMI) in this study was higher in high Gensini group (54.2% vs. 31.8%). Overall the STEMI incidence in this study was higher than other type of ACS, which is 42.4%. On younger group, STEMI was found dominate with rate 60.9% compare to UAP (26.1%). Changes of the ACS spectrum in younger group were noted by the writer. The data supports previous related study regarding young adult ACS says that there are changing of ACS spectrum from UAP to STEMI in this group of age [28-30]. The data from this study also different from the previous data in ICCU unit from 2008 – 2012 where UAP still higher than STEMI/NSTEMI in young patient group [11]. This condition shows that there is worsening of the stenosis in young adult, where in previous condition in this group was higher due to vasospasm related ischemia.

On the study result shows AUC of PLR in high Gensini group in young ACS patient group was 93.3% (CI 95%, 87 – 100, p-value<0,001). There are 60 cut off points from this group, with optimal PLR cut off point on ≤ 45 years old group was 111.06. Consecutively the sensitivity, specificity, PPV, NPV, positive LR and negative LR was 91.9%, 87.5%, 94.4%, 11.27 and 0.09. This cut off can be used as screening for complex coronary lesion in younger group of due to high of specificity. The pretest probability if this study is 38.3% and the post-test probability (for positive result) was 87.3%. For example, if a patient ≤ 45 years old have higher PLR than the cutoff point (111.06), means that the physician can be sure 87.3% that the patient having a complex coronary lesion.

The cutoff point of PLR in this study in age > 45 years old was different compare to younger group. The AUC level was 77.3% (CI 95%, 65.1 – 89.5, p-value<0.001). The optimal cut off point out 65 in this study was 104.78. With consecutively sensitivity, specificity, PPV, NPV, positive LR, and negative LR was 91.7%, 58.6%, 73.3%, 85%, 2.21 and 0.14. With pre-test probability of this group is 55.3% and post-test probability (for negative result) was 14.8%, if the patient >45 years old with PLR > 104.8, it is means that physician sure that 14.8% this patient doesn’t have a complex coronary lesion.

The recommendation of using PLR as screening of complex coronary lesion in ACS patient can be used in daily practice, especially in order to make a stratification of the severity of the patient beside the clinical condition. These tools can be used in stratification on elective procedure as well.

Limitation of the Study

This is a retrospective cross sectional study. It might limit the information and the similarity of anamnesis technique used. It also might limit the completeness of supporting data related to risk factor such as obesity and others factor that relate to inflammatory status such as H. pylori status because the evaluation does not routinely performed in ICCU unit.

Despite some limitations, this study may provide good evidence to increase physicians’ awareness and helping physician to make a good stratification of severity patient with ACS who need undergo intervention treatment.

Conclusion

Proportion of ACS that has a complex coronary lesion (high Gensini Score) was 47.2%. The optimal cut off point in ≤ 45 years old group was 111.06 and in >45 years old group was 104.78. The diagnostic accuracy of PLR based on AUC level on both groups is good enough for screening of complex coronary lesion.

References

Citation: Wahyuni I, Nasution SA, Wijaya IP, Sukrisman L, Rumende CM (2018) Diagnostic Test of Platelet Lymphocyte Ratio for Screening of Complex Coronary Lesion in Different Age Group of Acute Coronary Syndrome. J Cardiovasc Dis Diagn 6: 335. DOI: 10.4172/2329-9517.1000335

Copyright: © 2018 Wahyuni I, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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