
==== Front
Asian Biomed (Res Rev News)
Asian Biomed (Res Rev News)
abm
abm
Asian Biomedicine: Research, Reviews and News
1905-7415
1875-855X
Sciendo

abm-2024-0024
10.2478/abm-2024-0024
Brief Communication
Predictive model for left main coronary artery or triple vessel disease in patients with chronic coronary syndromes
Nuchanat Piyanop
Methavigul Komsing komsing@ccit.mail.go.th

Department of Cardiology, Central Chest Institute of Thailand, Nonthaburi 11000, Thailand
20 9 2024
8 2024
18 4 180185
© 2024 Piyanop Nuchanat et al., published by Sciendo
2024
Piyanop Nuchanat et al., published by Sciendo
https://creativecommons.org/licenses/by/4.0/ This work is licensed under the Creative Commons Attribution 4.0 International License.
Abstract

Background

Data about prediction of left main coronary artery disease (LMCAD)/three-vessel disease (TVD) in patients with chronic coronary syndromes (CCS) are lacking.

Objectives

This study aimed to develop a model for predicting patients at risk of LMCAD/TVD.

Methods

This study used retrospective data from patients with CCS scheduled for invasive coronary angiography (ICA) and who were retrospectively recruited between January 2018 and December 2020. Predictors were obtained and analyzed by using logistic regression analysis, and generated the prediction score. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. The cut-off value and area under the curve (AUC) were analyzed by using the receiver operating characteristic (ROC) curve.

Results

We recruited 162 patients with CCS. There were 75 patients in the non-LMCAD/TVD and 87 patients in the LMCAD/TVD groups. After the multivariate analysis, new onset of heart failure (HF) or left ventricular systolic dysfunction (LVSD) and suspected CAD, ST elevation (STE) in aVR, STE in V1 and lateral ST depression (STD) were associated with increased risk of LMCAD/TVD. Based on these 4 predictors, the prediction score was created. The cut-off value of the prediction score by using ROC curve analysis was 3.0. The sensitivity, specificity, PPV, and NPV were 71.26%, 86.67%, 86.11%, and 72.22%, respectively, with an AUC of 0.855.

Conclusions

The CCS patients with new onset of HF or LVSD and suspected CAD, STE in aVR, and STE in V1 and lateral STD were associated with increased risk of LMCAD/TVD. The novel prediction score could predict LMCAD/TVD in those patients with acceptable sensitivity, specificity, PPV, and NPV.

Keywords

chronic coronary syndromes
high risk
left main
prediction
three-vessel disease
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pmcCoronary artery disease (CAD) is categorized as acute coronary syndromes (ACS) and chronic coronary syndromes (CCS) [1,2,3]. Recent European guidelines recommend invasive coronary angiography (ICA) for the diagnosis of patients with high clinical likelihood, severe symptoms after antianginal therapy, or high risk of cardiovascular (CV) events [3].

High-risk patients with CCS are defined as those having three-vessel disease (TVD) with proximal stenoses, left main CAD (LMCAD), or proximal left anterior descending artery [3]. About 4%–6% of the patients with LMCAD undergo ICA [4]. In addition, approximately 70% of those patients also have multiple coronary artery stenosis, leading to a large ischemic area [5, 6].

Previous studies have shown that patients with ACS having LMCAD and TVD were associated with electrocardiographic changes such as ST-segment elevation (STE) in aVR lead ≥0.05 mV [7, 8]; number, extent, or location of leads having ST-segment depression (STD) [9, 10], and heart failure (HF) at clinical presentation [11]. Age, male sex, diabetes, blood pressure, hyperlipidemia, obesity, smoking history, heart rate, history of ACS or ICA, and peripheral artery disease have also been studied and associated with LMCAD and TVD [10, 11]. However, there is a lack of data in patients with CCS. This study aimed to develop a predictive model for predicting patients with CCS at risk of LMCAD and TVD.

Methods

This study used the retrospective data from patients with clinically suspicious CCS, aged 18 years or more, and scheduled for ICA. Patients were recruited at the Central Chest Institute of Thailand between January 2018 and December 2020. The exclusion criteria included patients with bundle branch block including right bundle branch block (RBBB), left bundle branch block (LBBB) or intraventricular conduction disturbances (IVCD), ventricular paced rhythm, moderate-to-severe valvular heart disease, stress cardiomyopathy, myocarditis, hypertrophic cardiomyopathy, hypertensive emergency, severe anemia (hemoglobin concentration <8 g/dL), myeloproliferative disorders, pericarditis, Brugada syndrome, or electrolyte abnormalities (hypokalemia, hyperkalemia, hypomagnesemia, hypocalcemia).

The baseline demographic data, 12-lead electrocardiography (ECG), and angiographic data were collected from the medical records. Predictors such as age, estimated glomerular filtration rate (eGFR), new onset of HF or left ventricular systolic dysfunction (LVSD) and suspected CAD, number of leads having STD, summation of leads having STD, STE in aVR, STE in V1, anterior STD, lateral STD, and inferior STD were obtained and analyzed.

STD and STE were defined as STD and STE ≥0.05 mV, respectively. Anterior STD was defined as STD ≥2 leads in lead V1–V4. Lateral STD was defined as STD ≥2 leads in lead I, aVL, V5–V6. Inferior STD was defined as STD ≥2 leads in lead II, III, aVF. The extent of STD or STE was measured from TP segments at 80 ms after J point in the resting 12-lead ECG.

The angiograms were classified as LMCAD (≥50% stenosis) or TVD (≥70% stenosis), and non-LMCAD/TVD disease.

This study complied with the Declaration of Helsinki, the International Conference on Harmonization for Good Clinical Practice Guidelines, and designed following the recommendations of the STROBE and TRIPOD statements [12, 13]. The study protocol was approved by the Human Research Ethics Committee of the Central Chest Institute of Thailand (certificate of approval no. 018/2564).

Statistical analysis

We specified 0.05 for type I error and 0.20 for type II error; hence, the power of this study was 0.80. The estimated LMCAD/TVD was 39% in patients with STE in aVR and 18% in patients without STE in aVR, so the odds ratio (OR) was 2.91 [10]. The ratio between the two groups was 1. The sample distribution was binomial. The sample size was calculated by using G*power version 3.1.9.7 using the methods of Faul et al. [14] and Demidenko [15, 16]. The sample size in this study was 81 patients and included the missing data in each group; so, the total number of patients was 162.

We analyzed the baseline demographic data with descriptive statistics. Categorical data are presented as frequency and percentage and compared by using the chi-squared test or Fisher exact test. Continuous data are presented as mean ± standard deviation (SD) and compared by using independent t-test.

All variable values were used for the univariate and multivariate analyses, and the logistic regression analysis was employed to determine the predictors associated with LMCAD/TVD, to obtain the OR and 95% confidence intervals (CIs), and to generate the prediction score. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. The cut-off value and area under the curve (AUC) were analyzed by using the receiver operating characteristic (ROC) curve. P < 0.05 was considered as the statistical significance.

Results

We recruited 162 patients with clinically suspicious CCS eligible by using sample size calculation with simple random sampling. The average age was 66.1 ± 11.5 years. About half of those patients were males. There were 75 patients in the non-LMCAD/TVD and 87 patients in the LMCAD/TVD groups. About half of those patients had diabetes mellitus and most patients had hypertension and dyslipidemia. The average left ventricular ejection fraction (LVEF) was 56.1 ± 16.3%. About one-third of those patients had STE in aVR or V1. The baseline characteristics are shown in Table 1.

Table 1. Baseline characteristics of the patients

Demographic data	All patients (n = 162)	Non-LMCAD/TVD (n = 75)	LMCAD/TVD (n = 87)	P	
Age (years), Mean ± SD	66.1 ± 11.5	63.7 ± 10.8	68.1 ± 11.8	0.02*	
Male sex, n (%)	91 (56.2)	43 (57.3)	48 (55.2)	0.78	
eGFR, Mean ± SD	72.88 ± 21.98	76.68 ± 22.17	69.60 ± 21.40	0.04*	
LVEF (%), Mean ± SD	56.1 ± 16.3	59.8 ± 14.3	53.0 ± 17.3	<0.01*	
New onset of HF or LVSD and suspected CAD	59 (36.4)	15 (20.0)	44 (50.6)	<0.01*	
Medical history, n (%)	
  Diabetes mellitus	77 (47.5)	31 (41.3)	46 (52.9)	0.14	
  Hypertension	135 (83.3)	60 (80.0)	75 (86.2)	0.29	
  Dyslipidemia	135 (83.3)	61 (81.3)	74 (85.1)	0.53	
  Obesity	79 (48.8)	41 (54.7)	38 (43.7)	0.16	
  History of HF	47 (29.0)	13 (17.3)	34 (39.1)	<0.01*	
  Previous MI	108 (66.7)	42 (56.0)	66 (75.9)	<0.01*	
  Prior PCI	64 (39.5)	29 (38.7)	35 (40.2)	0.84	
  Prior CABG	9 (5.6)	1 (1.3)	8 (9.2)	0.04*	
  Peripheral artery disease	2 (1.2)	0 (0.0)	2 (2.3)	0.50	
  Previous stroke/TIA	5 (3.1)	3 (4.0)	2 (2.3)	0.66	
  Chronic kidney disease	44 (27.2)	17 (22.7)	27 (31.0)	0.23	
Current medication, n (%)	
  Aspirin	155 (95.7)	69 (92.0)	86 (98.9)	0.05	
  P2Y12 inhibitors	120 (74.1)	51 (68.0)	69 (79.3)	0.10	
  Beta-blocker	130 (80.2)	58 (77.3)	72 (82.8)	0.39	
  ACEI/ARB	105 (64.8)	51 (68)	54 (62.1)	0.43	
  Non-dihydropyridine CCB	1 (0.6)	0 (0.0)	1 (1.1)	0.35	
  Nitrates	81 (50.0)	29 (38.7)	52 (59.8)	<0.01*	
  Statin	156 (96.3)	72 (96.0)	84 (96.6)	1.00	
  Mineralocorticoid antagonist	18 (11.1)	3 (4.0)	15 (17.2)	<0.01*	
Resting ECG, n (%)	
  Number of leads having STD, Mean ± SD	2.48 ± 2.66	1.09 ± 1.80	3.68 ± 2.70	<0.01*	
  Summation of leads having STD (mV), Mean ± SD	0.37 ± 0.56	0.13 ± 0.24	0.58 ± 0.66	<0.01*	
  STE in aVR, n (%)	51 (31.5)	6 (8.0)	45 (51.7)	<0.01*	
  STE in V1, n (%)	60 (37.0)	13 (17.3)	47 (54.0)	<0.01*	
  Anterior STD, n (%)	14 (8.6)	3 (4.0)	11 (12.6)	0.06	
  Lateral STD, n (%)	67 (41.1)	9 (12.0)	58 (66.7)	<0.01*	
  Inferior STD, n (%)	25 (15.4)	6 (8.0)	19 (21.8)	<0.01*	
ACEI, angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor antagonist; CABG, coronary artery bypass graft; CAD, coronary artery disease; CCB, calcium channel blocker; ECG, electrocardiography; eGFR, estimated glomerular filtration rate; HF, heart failure; LMCAD, left main coronary artery disease; LVEF, left ventricular ejection fraction; LVSD, left ventricular systolic dysfunction; MI, myocardial infarction; PCI, percutaneous coronary intervention; SD, standard deviation; STD, ST-segment depression; STE, ST-segment elevation; TIA, transient ischemic attack; TVD, three-vessel disease.

* P < 0.05 was considered as the statistical significance.

Predictors were analyzed by using the univariate analysis and illustrated that age, new onset of HF or LVSD and suspected CAD, number of leads having STD, summation of leads having STD, STE in aVR, STE in V1, anterior STD, lateral STD, and inferior STD significantly increased the risk of LMCAD/TVD, while eGFR significantly decreased the risk of LMCAD/TVD (P < 0.05). After the multivariate analysis, 4 predictors were associated with an increased risk of LMCAD/TVD. Those predictors included new onset of HF or LVSD and suspected CAD, STE in aVR, STE in V1, and lateral STD (P < 0.05) as shown in Table 2. Based on these 4 predictors, the prediction score was created to predict the risk of LMCAD/TVD in Table 3.

Table 2. Multivariate logistic regression of the study population

Predictors	Univariate analyses	Multivariate analyses	
		
OR (95% CI)	P	OR (95% CI)	P	
Age (years)	1.035 (1.01–1.06)	0.02*	1.03 (0.99–1.08)	0.16	
eGFR	0.99 (0.97–0.999)	0.04*	1.02 (1.00–1.05)	0.09	
New onset of HF or LVSD and suspected CAD	4.09 (2.02–8.28)	<0.01*	3.04 (1.23–7.50)	0.02*	
Number of leads having STD	1.59 (1.35–1.87)	<0.01*	0.77 (0.41–1.42)	0.40	
Summation of leads having STD	28.74 (8.26–99.97)	<0.01*	1.99 (0.05–73.80)	0.71	
STE in aVR	12.32 (4.84–31.36)	<0.01*	5.56 (1.40–22.16)	0.02*	
STE in V1	5.60 (2.70–11.65)	<0.01*	3.48 (1.37–8.88)	0.01*	
Anterior STD	3.47 (0.93–12.96)	0.06	2.32 (0.30–18.28)	0.42	
Lateral STD	14.67 (6.42–33.53)	<0.01*	8.41 (1.51–46.88)	0.02*	
Inferior STD	3.21 (1.21–8.54)	0.02*	1.05 (0.20–5.63)	0.96	
95% CI, 95% confidence interval; CAD, coronary artery disease; eGFR, estimated glomerular filtration rate; HF, heart failure; LVSD, left ventricular systolic dysfunction; OR, odds ratio; STD, ST-segment depression; STE, ST-segment elevation.

* P < 0.05 was considered as the statistical significance.

Table 3. The prediction scores

Predictors	Point	
New onset of HF or LVSD and suspected CAD	1	
STE in V1	1	
STE in aVR	2	
Lateral STD	3	
CAD, coronary artery disease; HF, heart failure; LVSD, left ventricular systolic dysfunction; STD, ST-segment depression; STE, ST-segment elevation.

The cut-off value of the prediction score by using ROC curve analysis was 3.0. The sensitivity, specificity, PPV, and NPV were 71.26% (95% CI: 60.57%–80.46%), 86.67% (95% CI: 76.84%–93.42%), 86.11% (95% CI: 75.94%–93.13%), 72.22% (95% CI: 61.78%–81.15%), respectively, with an AUC of 0.855 (95% CI: 0.796–0.914). The ROC curve is shown in Figure 1.

Figure 1. ROC curve of the prediction score. ROC, receiver operating characteristic.

Discussion

To date, previous studies have shown that ACS patients with LMCAD and TVD have been associated with several ECG changes such as STE in aVR, number and location of leads, extent of STD, and CV risk factors. However, there have been no data in patients with CCS undergoing ICA. This study showed that these patients with LMCAD and TVD undergoing ICA were significantly related to new onset of HF or LVSD and suspected CAD, STE in V1 or aVR, and lateral STD.

A previous study showed that HF was the predictor of LMCAD/TVD in patients with ACS (OR: 32.50) [11]. In addition, this study showed that there was a statistically significant association between HF and LMCAD/TVD in patients with CCS (OR: 3.04) as well. Although HF in this study included LVSD from suspected CAD, it had less association with LMCAD/TVD than HF in ACS trials. Based on current knowledge, patients with ACS have higher risk compared with those patients with CCS. This may be an explanation for the lower association with LMCAD/TVD in this study. Interestingly, STE in V1 during stress test was a predictor of LMCAD/TVD (OR: 4.3) [11], while this study showed that STE in V1 during resting ECG was associated with LMCAD/TVD in patients with CCS (OR: 3.21). Symptomatic patients with STE in V1 during resting ECG may be high-risk patients in ACS settings as well as CCS patients.

Moreover, a previous study showed that ST-deviations in aVR can predict severity, infarction volume, and prognosis in patients with acute myocardial infarction (MI) [17]. In addition, the meta-analysis has demonstrated that patients with non-ST-elevation ACS and STE in aVR were significantly associated with LMCAD, and a higher extent of STE was a higher probability of LMCAD [8]. This study showed that STE in aVR was associated with LMCAD/TVD with statistical significance in CCS patients; so, STE in aVR can be used for predicting LMCAD in both patients with ACS and CCS.

A previous study in patients with ACS showed that anterior STD, lateral STD, and inferior STD were related to the likelihood of having LMCAD/TVD [10]. This study showed that only lateral STD was associated with LMCAD/TVD with statistical significance, while anterior STD and inferior STD increased the probability of having LMCAD/TVD without statistical significance. The wide 95% CI of patients with anterior or inferior STD due to the small number of patients considered may be the explanation for the non-statistically significant predictors of LMCAD/TVD in this study. Larger studies are required for identifying these patients in future.

The prediction score including new onset HF or LVSD and suspected CAD, STE in V1, STE in aVR, and lateral STD was developed. The ROC curve showed a cut-off value of 3.0 with a specificity and sensitivity of 86.67% and 71.26%, respectively. The AUC was 0.855. This study was the first study showing the prediction score used in patients with CCS undergoing ICA. This score can be used to select patients with high CV risk for ICA in future.

However, this study has several limitations. First, patients in this trial were studied in a tertiary hospital, and all patients were scheduled for ICA, indicating a higher CV risk and more severe CAD. This outcome might not be applied in the lower CV risk patients with CCS. Second, this is a retrospective chart review of patients having suspected CCS. Hence, some ACS patients might have been confused with more severe CCS patients. However, the findings in the coronary angiograms can be used for differentiating the CCS from the ACS settings. Finally, this study had a small patient number and selection bias cannot be excluded. Nevertheless, the prediction score can predict the probability of LMCAD/TVD in CCS patients with acceptable sensitivity and specificity.

Conclusion

The CCS patients with new onset of HF or LVSD and suspected CAD, STE in aVR, STE in V1 and lateral STD were associated with an increased risk of LMCAD/TVD. The novel prediction score described here can predict LMCAD/TVD in those patients with acceptable sensitivity, specificity, PPV, and NPV.

Acknowledgments

We thank Ms. Dollapas Punpanich, Biostatistician at Phramongkutklao Hospital for the statistical analysis. We did not receive any specific grant for this research from any funding agency in the public, commercial, or not-for-profit sectors.

Author contributions.

PN contributed substantially to the acquisition of data; KM contributed to the conception and design. Both authors contributed to the analysis and interpretation of data, drafting the manuscript, critically revising the manuscript, approving the final version submitted for publication. Both authors agree to be accountable for all aspects of the work performed in relation to and statements made in the published article.

Conflicts of interest statement.

The authors have each completed the International Committee of Medical Journal Editors Form for uniform Disclosure of Potential Conflicts of Interest. No authors have any potential conflict of interest to disclose.

Data sharing statement.

Statistical data summaries in the present study are included in this published article. Further details of the data are available upon reasonable request to the corresponding author after deidentification from any patient.
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References

[1] Collet JP Thiele H Barbato E Barthélémy O Bauersachs J Bhatt DL 2020 ESC Guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation Eur Heart J 2021 42 1289 367 32860058
[2] Ibanez B James S Agewall S Antunes MJ Bucciarelli-Ducci C Bueno H 2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation: The Task Force for the management of acute myocardial infarction in patients presenting with ST-segment elevation of the European Society of Cardiology (ESC) Eur Heart J 2018 39 119 77 28886621
[3] Knuuti J Wijns W Saraste A Capodanno D Barbato E Funck-Brentano C 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes Eur Heart J 2020 41 407 77 31504439
[4] Ragosta M Dee S Sarembock IJ Lipson LC Gimple LW Powers ER Prevalence of unfavorable angiographic characteristics for percutaneous intervention in patients with unprotected left main coronary artery disease Catheter Cardiovasc Interv 2006 68 357 62 16892431
[5] Taggart DP Kaul S Boden WE Ferguson TB Jr Guyton RA Mack MJ Revascularization for unprotected left main stem coronary artery stenosis stenting or surgery J Am Coll Cardiol 2008 51 885 92 18308155
[6] Serruys PW Morice MC Kappetein AP Colombo A Holmes DR Mack MJ Percutaneous coronary intervention versus coronary-artery bypass grafting for severe coronary artery disease N Engl J Med 2009 360 961 72 19228612
[7] Kosuge M Ebina T Hibi K Morita S Endo M Maejima N An early and simple predictor of severe left main and/or three-vessel disease in patients with non-ST-segment elevation acute coronary syndrome Am J Cardiol 2011 107 495 500 21184992
[8] Lee GK Hsieh YP Hsu SW Lan SJ Soni K Value of ST-segment change in lead aVR in diagnosing left main disease in non-ST-elevation acute coronary syndrome-a meta-analysis Ann Noninvasive Electrocardiol 2019 24 e12692 10.1111/anec.12692 31532060
[9] Gorgels AP Vos MA Mulleneers R de Zwaan C Bär FW Wellens HJ Value of the electrocardiogram in diagnosing the number of severely narrowed coronary arteries in rest angina pectoris Am J Cardiol 1993 72 999 1003 8213601
[10] Misumida N Kobayashi A Fox JT Hanon S Schweitzer P Kanei Y Predictive value of ST-segment elevation in lead aVR for left main and/or three-vessel disease in non-ST-segment elevation myocardial infarction Ann Noninvasive Electrocardiol 2016 21 91 7 25884447
[11] D’Ascenzo F Presutti DG Picardi E Moretti C Omede P Sciuto F Prevalence and non-invasive predictors of left main or three-vessel coronary disease: evidence from a collaborative international meta-analysis including 22740 patients Heart 2012 98 914 9 22626899
[12] von Elm E Altman DG Egger M Pocock SJ Gøtzsche PC Vandenbroucke JP STROBE Initiative The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies PLoS Med 2007 4 e296 10.1371/journal.pmed.0040296 17941714
[13] Moons KG Altman DG Reitsma JB Ioannidis JP Macaskill P Steyerberg EW Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): explanation and elaboration Ann Intern Med 2015 162 W1 73 25560730
[14] Faul F Erdfelder E Buchner A Lang AG Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses Behav Res Methods 2009 41 1149 60 19897823
[15] Demidenko E Sample size determination for logistic regression revisited Stat Med 2007 26 3385 97 17149799
[16] Demidenko E Sample size and optimal design for logistic regression with binary interaction Stat Med 2008 27 36 46 17634969
[17] Kühl JT Berg RM Utility of lead aVR for identifying the culprit lesion in acute myocardial infarction Ann Noninvasive Electrocardiol 2009 14 219 25 19614632
