Lymphopenia and mortality among patients undergoing coronary angiography: Long-term follow-up study.

BACKGROUND: Lymphopenia is associated with adverse prognosis in chronic disease states that are related to immune dysregulation. We aimed to determine the association between lymphopenia and mortality in patients presenting to coronary angiography and investigate whether elevated red blood cell distribution width (RDW), an established cardiovascular prognostic marker, further refines risk stratification.
METHODS: Retrospective analysis of patients undergoing coronary angiography for evaluation or treatment of coronary artery disease between 2003 and 2018. Mortality risk associated with relative (1000-1500/μL) or severe ( < 1000/μL) lymphopenia was analyzed using adjusted Cox proportional hazards regression models.
RESULTS: Overall, 15,179 patients aged 65 ± 12 years underwent coronary angiography. During a median follow-up of 8 years, 4253 patients died. Compared to normal lymphocyte count, the adjusted hazard ratio (HR) for mortality was 1.31 (95% confidence interval [CI] 1.21-1.41) and 1.97 (95% CI 1.75-2.22) for relative and severe lymphopenia, respectively. The increase in mortality associated with severe lymphopenia was significant in patients presenting in the non-acute setting (HR 2.18, 95% CI 1.74-2.73), ST-segment elevation myocardial infarction (STEMI) (HR 1.59, 95% CI 1.15-2.21), or unstable angina/non-STEMI (HR 2.00, 95% CI 1.70-2.34); p-value for interaction 0.626. The association of lymphopenia with mortality remained significant after additional adjustment to RDW. High RDW ( > 14.5%) was associated with reduced survival, and it improved the predictive accuracy of lymphocytes count with an increase in Harrell's Concordance statistic from 0.634 (SE = 0.005) to 0.672 (SE = 0.005), p < 0.001.
CONCLUSIONS: lymphopenia is associated with increased risk of mortality during long-term follow-up in patients undergoing coronary angiography, regardless of the coronary presentation. High RDW may enhance the predictive ability of lymphopenia.

Introduction

Lymphopenia was demonstrated in observational studies to be associated with malignancies, infections, systemic autoimmune diseases, and worse clinical outcomes [1-5]. Early studies have shown that a low relative lymphocyte count, measured as the percentage of total leukocytes, is inversely associated with the risk of cardiovascular disease (CVD) states, particularly heart failure [6-10]. More recent findings further suggest that the measurement of absolute lymphocyte count by itself may risk stratify for mortality in the setting of the general population, especially when associated with other immunohematologic abnormalities [11, 12]. However, the extent to which absolute lymphopenia is associated with survival in patients with coronary artery disease (CAD) is less known [13]. In the current study, we aimed to investigate the association between absolute lymphocyte count and mortality in the real-world clinical practice of patients presenting to coronary angiography for evaluation and treatment of CAD, with both acute and non-acute coronary syndromes (ACS). In addition, we wished to examine whether elevated red blood cell distribution width (RDW), which has emerged as a useful prognostic parameter in CVDs, further refines risk prediction beyond lymphocyte count [14-17].

Methods

Study population

Retrospective analysis of the cardiac catheterization laboratory database at Carmel Medical Center, Haifa, Israel, between January 2000 and December 2018, was performed. Included were patients who were referred to coronary angiography for the assessment and/or treatment of CAD. Only the first angiography of each patient during the study period was included. This analysis was restricted to patients who are members of the Clalit Health Service (CHS), the largest non-for-profit health care provider in Israel, for whom we had full access to outcomes data during follow-up and other variables that were not originally collected at the time of coronary angiography. Patients with elevated lymphocyte count > 5000/μL and patients in whom laboratory values of white blood cells and red cell distribution width (RDW) counts in the year prior to angiography were unavailable were excluded. Final study population included 15,179 patients.

The study population was classified into three groups of angiographic indications: (a) unstable angina pectoris (UAP) or acute non-ST-segment elevation myocardial infarction (NSTEMI), (b) acute ST-segment elevation myocardial infarction (STEMI), and (c) evaluation and/or treatment of CAD with stable clinical presentation (non-ACS). The primary study endpoint was long-term mortality. The cause of death was not consistently available, and therefore we included all-cause and not cardiovascular death. Data on vital status was retrieved from the Ministry of the Interior. Cohort participants were followed up until reaching the occurrence of study outcome or end of follow-up in December 2019, whichever came first.

The study database was approved by Carmel Medical Center Ethics Committee with waiving of the need for individual patient consent due to the retrospective nature of the study.

Study variables and definition of terms

Demographic data, clinical variables, risk factors, and comorbidities were most often prospectively collected from patients’ medical files at the time of coronary angiography. Data that was not originally collected were retrieved from computerized database of CHS. The results of all complete blood cell counts performed during the year prior to the date of coronary angiography were retrieved from the CHS laboratory database. We used 1-year median levels to calculate the absolute lymphocyte count, neutrophil-to-lymphocyte ratio (NLR), and RDW, in order to assess their association with mortality. The absolute lymphocyte count was evaluated in three ways: (a) classification to normal lymphocyte count > 1500/μL (reference category); relative lymphopenia 1000–1500/μL; severe lymphopenia < 1000/μL, (b) quintiles of lymphocyte count with the highest quintile serving as reference, and (c) lymphocyte levels included in the model as a continuous variable. For the purpose of the current study, elevated RDW values were defined as > 14.5% [15].

Data analysis

Continuous data are reported as means and standard deviation or median and interquartile range (IQR), and categorical variables as numbers and percentages. One-way ANOVA test was used to compare continuous variables and χ2 to compare categorical variables. For each lymphocytes group, the number of events and the incidence rates of death per 100 person-years were calculated. Median follow-up was estimated using subjects alive at end of follow-up. Kaplan-Meier curves were used to estimate the long-term cumulative incidence of death according to the lymphocyte count categories, with comparison between curves performed using the log-rank test. The association between lymphocyte count and mortality over time was evaluated using Cox proportional hazards regression models to estimate the hazard ratio (HR) with 95% confidence interval (CI), using three models adjusting for (a) age and gender, (b) multivariable adjustment including demographics, clinical characteristics, and baseline comorbidities, and (c) with additional adjustment to RDW.

We performed additional sensitivity analyses by repeating the multivariable models using the most adjacent lymphocyte count performed before coronary angiography instead of median 1-year levels, and by further adjusting the multivariable model to NLR, a marker of inflammation that was found to be independently associated with increased risk of mortality in various cardiovascular diseases [18]. Exploratory analysis was performed by examining the association between lymphopenia and all-cause mortality stratified by the acuity of coronary presentation (STEMI, UAP/NSTEMI, non-ACS), and according to age decades, with calculation of p-values for interaction between subgroups.

In order to further assess the association of lymphocyte count with mortality, absolute lymphocyte count was additionally modeled as a continuous variable. First, a linearity assumption on the relationship between lymphocyte count and mortality was tested using a likelihood ratio test, comparing two nested Cox regression models: one including only linear effect and the second including also quadratic and cubic terms, and the non-linearity was detected. Then, for graphical presentation of the association, a smoothed plot of adjusted HR (relative to a reference value of 2000/μL, the overall median count) was estimated along with point-wise 95% CI. For this purpose, the lymphocyte count was flexibly modeled in a Cox regression using a restricted cubic spline function with five knots corresponding to the 5%, 25%, 50%, 75%, and 95% percentiles of lymphocyte count [19]. We repeated the analysis separately for each of the three clinical presentation types: STEMI, UAP/NSTEMI, and non-ACS, and we tested the interaction between presentation type and lymphocyte count.

To assess the predictive accuracy of lymphocyte counts with and without the addition of RDW into a Cox regression model, Harrell’s concordance statistic was used, as implemented in the R survival package [20]. Concordance statistic along with standard error (SE) were presented, and further compared using appropriate Z contrast.

The results were considered statistically significant when the two-sided p-value was < 0.05. SPSS statistical software version 20.0, SAS version 9.4 software, and MEDCALC version 16.8.4 were used to perform all statistical analyses.

Results

A total of 15,179 patients undergoing coronary angiography for evaluation and/or treatment of CAD were included in the study. Their mean age was 65 ± 12 years, and 72% were males. Baseline patients’ characteristics are shown in Table 1, classified according to lymphocyte category (normal lymphocyte count, relative lymphopenia, and severe lymphopenia). Compared to those with normal lymphocyte count, subjects with lymphopenia were older. The prevalence of chronic kidney disease, hypertension, prior cancer, vascular disease, congestive heart failure, chronic obstructive lung disease, RDW levels, as well as presentation with ACS, increased with the reduction in lymphocyte count. In contrast, lymphopenia was associated with lower rates of hyperlipidemia, obesity, smoking, and Arab ethnicity.

Table 1

Patient characteristics according to lymphocyte count.

Variable	Overall populationN = 15179	Normal lymphocyte count 1500–5000/μLN = 11875 (78.2%)	Relative lymphopenia 1000–1500/μLN = 2739 (18%)	Severe lymphopenia < 1000/μLN = 565 (3.7%)	P
Age [years]	65 ± 12	64 ± 11	70 ± 11	73±11	< 0.001
Women	4359 (28.7%)	3448 (29%)	778 (28.4%)	133 (23.5%)	0.017
Hypertension	11088 (73%)	8542 (71.9%)	2097 (76.6%)	449 (79.5%)	< 0.001
Hyperlipidemia	11021 (72.6%)	8696 (73.2%)	1945 (71%)	380 (67.3%)	0.001
Smoker	3495 (23%)	3114 (26.2%)	327 (11.9%)	54 (9.6%)	< 0.001
Diabetes	5972 (39.3%)	4703 (39.6%)	1045 (38.2%)	24 (39.6%)	0.370
Ethnicity (Arab)	2801 (18.5%)	2438 (20.5%)	300 (11%)	63 (11.2%)	< 0.001
Obesity	4726 (31.1%)	3929 (33.1%)	672 (24.5%)	125 (22.1%)	< 0.001
Old myocardial infarction	8127 (53.5%)	6163 (51.9%)	1600 (58.4%)	364 (64.4%)	< 0.001
Chronic kidney disease	1651 (10.9%)	1002 (8.4%)	492 (18%)	157 (27.8%)	< 0.001
Creatinine > 1.4 mg/dL	1302 (8.6%)	769 (6.5%)	386 (14.1%)	147 (26%)	< 0.001
PVD	992 (6.5%)	681 (5.7%)	252 (9.2%)	59 (10.4%)	< 0.001
CABG	1725 (11.4%)	1270 (10.7%)	368 (13.4%)	87 (15.4%)	< 0.001
ACS	8077 (53.2%)	6080 (51.2%)	1611 (58.8%)	386 (68.3%)	< 0.001
Cancer	1684 (11.1%)	1042 9 (8.8%)	506 (18.5%)	136 (24.1%)	< 0.001
Heart failure	2843 (10.7%)	1892 (15.9%)	725 (26.5%)	226 (40%)	< 0.001
COPD	1088 (7.2%)	799 (6.7%)	225 (8.2%)	64 (11.3%)	< 0.001
RDW median (IQR)	13.7 (13.2–14.4)	13.6 (13.1–14.3)	14.0 (13.3–14.7)	14.4 (13.6–15.6)	< 0.001
WBC median (IQR)	7.9 (6.6–9.4)	8.1 (7.0–9.6)	6.8 (5.7–8.1)	6.7 (5.4–8.4)	< 0.001

ACS — acute coronary syndrome; CABG — coronary artery bypass graft surgery; COPD — chronic obstructive pulmonary disease; IQR — interquartile range; PVD — peripheral vascular disease; RDW — red cell distribution width; WBC — white blood cells

The association between lymphopenia and mortality

Overall, 4253 (28%) patients died during a median follow-up of 8 years (IQR 4–12.2 years). Crude incidence rates of death increased progressively in patients with relative and severe lymphopenia compared to those with normal lymphocyte count, and in an inverse dose-response manner across lymphocyte quintiles: 7.16, 4.12, 3.20, 2.76, and 2.37 events per 100 person-years, respectively (Table 2). Kaplan-Meier plots displaying the distribution of time to mortality by the three lymphocyte categories are presented in Figure 1 (log rank p < 0.001). In a multivariable Cox proportional hazard regression analysis, the adjusted HR (95% CI) for long-term mortality was 1.31 (1.21–1.41) for relative lymphopenia and 1.97 (1.75–2.22) for severe lymphopenia, compared to subjects with normal lymphocyte counts (Table 2). In addition, compared to the highest lymphocyte quintile, the HRs for mortality increased in a graded manner (p for trend across quintiles < 0.001) and when analyzed as a continuous variable with an HR (95% CI) of 1.23 (1.17–1.29), p < 0.001 for each 100-lymphocyte cell count decrease. However, lymphocyte count appears to have a nonlinear reversed J-shaped relationship with all-cause mortality (p for nonlinearity < 0.0001). A smoothed plot of adjusted HR (relative to the overall median lymphocyte value of 2000/μL) is presented in Figure 2.

Table 2

Crude incidence rates and multivariate Cox proportional regression models for the association between lymphocyte counts and long-term mortality.

Lymphocyte count	No. of death/patients (%)	Incidence rate per 100 person-years	Age and gender adjusted HR	Multivariable* adjusted HR	Multivariable+ RDW adjusted HR
Three categories
Normal lymphocyte count	2864/11875	3.04	Reference	Reference	Reference
	(24.1%)
Relative lymphopenia	1073/2739	6.12	1.41 (1.32–1.52)	1.31 (1.21–1.41)	1.26 (1.17–1.36)
	(39.2%)		P < 0.001	P < 0.001	P < 0.001
Severe lymphopenia	316/565	12.32	2.47 (2.19–2.78)	1.97 (1.75–2.22)	1.84 (1.63–2.07)
	(55.9%)		P < 0.001	P < 0.001	P < 0.001
Quintiles
Q1 < 1495/μL	1304/3031 (43%)	7.16	1.64 (1.49–1.82)	1.47 (1.33–1.63)	1.42 (1.28–1.57)
			P < 0.001	P < 0.001	P < 0.001
Q2 1495–1825/μL	885/3034 (29.2%)	4.12	1.13 (1.01–1.25)	1.10 (0.99–1.23)	1.10 (0.99–1.23)
			P = 0.027	P = 0.071	P = 0.068
Q3 1826–2175/μL	756/3037 (24.9%)	3.20	1.01 (0.91–1.13)	(0.92–1.14)	(0.92–1.15)
			P = 0.846	P = 0.715	P = 0.612
Q4 2276–2650/μL	693/3038 (22.8%)	2.76	0.97 (0.87–1.08)	0.97 (0.87–1.09)	0.98 (0.88–1.09)
			P = 0.515	P = 0.616	P = 0.685
Q5 > 2650/μL	615/3039 (20.2%)	2.37	Reference	Reference	Reference
Continuous
HR is for each decrease of			1.32 (1.25–1.38)	1.23 (1.17–1.29)	1.20 (1.14–1.26)
100/μL in lymphocyte count			P < 0.001	P < 0.001	P < 0.001

HR — hazard ratio; Q — quintile; RDW — red cell distribution width Normal lymphocyte count > 1500/μL; relative lymphopenia 1000–1500/μL; severe lymphopenia < 1000/μL

Adjusted for age, gender, ethnicity, hypertension, hyperlipidemia, smoking, diabetes, chronic kidney disease, obesity, cancer, chronic obstructive pulmonary disease, heart failure, peripheral vascular disease, previous myocardial infarction, acute coronary syndrome

Figure 1

Long-term survival as a function of lymphocyte count.

Figure 2

Association between lymphocyte count and adjusted hazard ratio for mortality based on restricted cubic spline model, in the overall population.

Table 3

Association of lymphocyte count with mortality according to age decades.

Age groups [years]	Normal lymphocyte count Deaths/at risk (%)Adjusted* HR (95% CI)P value	Relative lymphopenia Deaths/at risk (%)Adjusted* HR (95% CI)P value	Severe lymphopenia Deaths/at risk (%)Adjusted* HR (95% CI)P value
≤60	492/4632 (10.6%)	87/527 (16.5%)	32/78 (41%)
	Reference	1.33 (1.05–1.69)	3.25 (2.24–4.71)
		P = 0.017	P < 0.001
> 60 to 70	808/3768 (21.4%)	216/774 (27.9%)	50/133 (37.6%)
	Reference	1.45 (1.24–1.69)	2.32 (1.73–3.12)
		P < 0.001	P < 0.001
> 70 to 80	1078/2637 (40.9%)	453/942 (48.1%)	128/206 (62.1%)
	Reference	1.27 (1.14–1.42)	1.84 (1.53–2.22)
		P < 0.001	P < 0.001
> 80	486/838 (58%)	317/496 (63.9%)	106/148 (71.6%)
	Reference	1.23 (1.06–1.42)	1.75 (1.41–2.17)
		P = 0.006	P < 0.001

CI — confidence interval; HR — hazard ratio

P for interaction between age and lymphocyte count < 0.001

Adjusted for age, gender, ethnicity, hypertension, hyperlipidemia, smoking, diabetes, chronic kidney disease, obesity, cancer, chronic obstructive pulmonary disease, heart failure, peripheral vascular disease, previous myocardial infarction, acute coronary syndrome

The magnitude of the adjusted HR (95% CI) for death associated with severe lymphopenia decreased with increasing age (p for interaction < 0.001): 3.25 (2.24–4.71) in those aged ≤ 60 years, 2.32 (1.73–3.12) in ages > 60 to 70 years, 1.84 (1.53–2.22) in ages > 70 to 80 years, and 1.75 (1.41–2.17) in patients aged > 80 years (Fig. 3).

We reached similar results performing sensitivity analysis, in which the association with mortality was evaluated using the most recent lymphocyte count tested before angiography instead of the median values of all lymphocyte counts in the year prior to angiography (in this period a median of three tests [IQR 2–5 tests] were available for each patient): multivariable adjusted HR (95% CI) for mortality was 1.65 (1.48–1.83), p < 0.001 for severe lymphopenia and 1.29 (1.20–1.39), p < 0.001 for relative lymphopenia. Moreover, the significant association of lymphopenia with mortality was retained after the addition of NLR to the multivariable model, both when added as median NLR levels: relative lymphopenia, HR 1.18 (95% CI 1.10–1.28), p < 0.001 and severe lymphopenia, HR 1.45 (95% CI 1.25–1.69), p < 0.001 or as NLR tertiles: relative lymphopenia, HR 1.11 (95% CI 1.02–1.20), p = 0.015 and severe lymphopenia, HR 1.62 (95% CI 1.42–1.84), p < 0.001.

Lymphopenia and mortality, according to acuity of coronary presentation

Similar to the overall population, crude incidence rates of death and adjusted HRs for mortality were higher in patients with relative lymphopenia, and more so in severe lymphopenia, compared to normal lymphocyte count, in each of the three coronary presentations (non-ACS, UAP/NSTEMI, or STEMI) (Fig. 4). Severe lymphopenia was associated with an adjusted HR (95% CI) for mortality of 2.18 (1.74–2.73) in patients with non-ACS, 2.00 (1.70–2.34) in those with UAP/NSTEMI, and 1.59 (1.15–2.21) in patients presenting with acute STEMI. The p-value for interaction between lymphocyte count and coronary presentation in relation to mortality was non-significant (p = 0.626). Supplementary Figure S1 further presents a smoothed plot of adjusted HRs for mortality according the coronary presentations based on restricted cubic spline model.

RDW and refinement of mortality risk

Red blood cell distribution width levels were higher in patients with lymphopenia (Table 1). The independent association between lymphopenia and mortality remained significant after further adjustment for RDW in the multivariable model, both in the overall study population (Table 2) and when separately analyzed in the three categories of coronary presentation (model 2 in Fig. 4). Survival probabilities over time in each of the lymphocyte count categories (normal lymphocyte levels, relative lymphopenia, or severe lymphopenia) were lower in patients with high RDW levels > 14.5% compared to those with RDW levels ≤ 14.5% (Suppl. Fig. S2). The discrimination ability of the lymphocyte count for mortality was improved with the addition of RDW count; the Harrell’s concordance statistic significantly increased from 0.634 (SE = 0.005) to 0.672 (SE = 0.005), p < 0.001 for the change in the concordance statistic. The addition of RDW to lymphocyte count increased the discriminatory capacity for mortality in each of the three coronary presentations (STEMI: from 0.623 [SE = 0.014] to 0.665 [SE = 0.0014]; UAP/NSTEMI: from 0.646 [SE = 0.007] to 0.688 [SE = 0.006]; non-ACS: from 0.610 [SE = 0.008] to 0.653 [SE = 0.008], p < 0.001 for all comparisons).

Discussion

In the present study we analyzed the association between absolute lymphocyte count and long-term mortality in patients presenting to coronary angiography in both the acute and non-acute setting. Lymphopenia, especially when severe, was associated with increased long-term mortality, even after adjusting to chronic disease states such as cancer, heart failure, and vascular diseases, and regardless of the acuity of the coronary presentation. The magnitude of the increase in the risk of death associated with severe lymphopenia was more prominent in younger age groups. Moreover, elevated RDW levels were additively associated with reduced survival, and further refined risk prediction improving the discriminatory capacity of absolute lymphocyte count for mortality.

Table 4

Association of lymphocyte count with mortality, according to coronary presentation.

Coronary presentation	Normal lymphocyte count	Relative lymphopenia	Severe lymphopenia
Non-ACS
Deaths/at risk (%)	1288/5795 (22.2%)	381/1128 (33.8%)	86/179 (48%)
Model 1	Reference	1.30 (1.15–1.46)	2.18 (1.74–2.73)
		P < 0.001	P < 0.001
Model 2	Reference	1.25 (1.11–1.41)	1.94 (1.55–2.44)
		P < 0.001	P < 0.001
UAP/NSTEMI
Deaths/at risk (%)	1267/4753 (26.7%)	561/1292 (43.4%)	185/286 (64.7%)
Model 1	Reference	1.39 (1.25–1.54)	2.00 (1.70–2.34)
		P < 0.001	P < 0.001
Model 2	Reference	1.33 (1.20–1.48)	1.81 (1.54–2.12)
		P < 0.001	P < 0.001
STEMI
Deaths/at risk (%)	309/1327 (23.3%)	131/319 (41.1%)	45/100 (45%)
Model 1	Reference	1.10 (0.89–1.37)	1.59 (1.15–2.21)
		P = 0.370	P = 0.005
Model 2	Reference	1.05 (0.84–1.30)	1.54 (1.11–2.14)
		P = 0.693	P < 0.001

ACS — acute coronary syndrome; NSTEMI — non-ST-segment elevation myocardial infarction; STEMI — ST-segment elevation myocardial infarction; UAP — unstable angina pectoris

P for interaction between lymphocyte count and coronary presentation = 0.626

Model 1: Hazard ratios (95% confidence intervals) adjusted for age, gender, ethnicity, hypertension, hyperlipidemia, smoking, diabetes, chronic kidney disease, obesity, cancer, chronic obstructive pulmonary disease, heart failure, peripheral vascular disease, previous myocardial infarction

Model 2: Hazard ratios (95% confidence intervals) adjusted as model 1 + red cell distribution width

Lymphopenia is a common hematological finding observed in systemic inflammatory states, malignancies, and autoimmune diseases [1-5]. Early studies have shown that a low relative lymphocyte count, measured as the percentage of total leukocytes, is predictive of adverse outcomes in CVD states, particularly heart failure [6-10]. Relatively few studies have evaluated absolute lymphocyte count as a prognostic biomarker, demonstrating its ability to stratify risk for mortality in the general population [11, 12]. Our findings extend the prognostic value of absolute lymphopenia to patients undergoing coronary angiography for evaluation and/or treatment of CAD with both ACS and non-ACS. The increase in mortality seemed to be less pronounced in patients presenting with acute STEMI, although the interaction between lymphocyte count and coronary presentation was not statistically significant. Only a few analyses of very small-scale have evaluated the prognostic significance of lymphopenia in patients with CAD, including stable clinical presentation [21], unstable angina [22], mechanical complications after myocardial infarction [23], and no-reflow phenomenon [24]. In addition, total white blood cell count was shown to be an independent predictor of death and myocardial infarction in patients with, or at high risk of, CAD, with greater predictive ability provided by high neutrophil or low lymphocyte counts [13]. In the current analysis the increased mortality risk associated with lymphopenia remained significant after adjustment to NLR, demonstrating the independent predictive ability of absolute lymphopenia, which is more intuitive for bedside calculation than NLR.

Several mechanistic pathways may connect lymphopenia to adverse prognosis in CAD. Lymphocytes have been suggested to play a role in the modulation of the inflammatory response throughout the atherosclerotic process [25]. In response to physiologic stress there is a release of cortisol, catecholamines, and proinflammatory cytokines, which may lead to lymphopenia [26-28]. Activation of the immune system during myocardial ischemia or infarction may be accompanied by an increase of lymphocyte apoptosis, which was shown to be present in atherosclerotic lesions and becomes increasingly frequent with the development and destabilization of the atherosclerotic plaque [29]. Lymphopenia may also be aggravated by redistribution of T cells from the circulation to lymphoid tissues [30]; it may induce compensatory proliferation of antigen-experienced T cells, which could increase the risk of cardiovascular disease [31]. On the other hand, an optimal lymphocyte count may reflect an immune system that is more capable of providing protection against cardiovascular diseases [12].

Lymphocyte count is known to decline with age [32], and this was also observed in the current analysis. Nevertheless, we found a higher relative risk for mortality associated with severe lymphopenia in younger age groups, with a significant interaction between age and lymphocyte count in the context of mortality during long-term follow-up. A similar trend was recently shown by Warny et al. [11] in the setting of the general population; it was suggested that additional factors including poor immune surveillance, blood transfusions, and iatrogenic causes such as medications might contribute to the difference in mortality risk between age groups.

Red blood cell distribution width is a measure of red cell size variability. Its use in the clinical setting is mainly for the differential diagnosis of micro- and normocytic anemias [33]. However, in recent years multiple studies have shown significant associations between RDW and clinical outcomes in a variety of populations, particularly cardiovascular morbidity and mortality [34, 35]. An elevated RDW may reflect chronic inflammation, ultimately leading to altered iron homeostasis and erythropoietin resistance. Associations between RDW, inflammatory markers, and impaired iron mobilization were demonstrated in heart failure [36, 37]. In the United Kingdom Biobank study, examining healthy volunteers, the incidence of CAD and all-cause mortality began to increase with RDW values > 13% and was the highest (3-fold higher) in participants with RDW value > 15% [38]. A meta-analysis of 21 studies concluded that high RDW levels are associated with increased risk of mortality and cardiovascular events also in patients with established CAD [39]. Zidar et al. [12] recently demonstrated in the setting of the general population that the risks associated with abnormal immunohematologic parameters including lymphopenia, RDW, and C-reactive protein may be synergistic with each other. Our findings are in line with these results, demonstrating improved risk prediction in patients with CAD when both lymphocytes and RDW levels are taken into account.

Strengths and limitations

Strengths of the current analysis include the large number of CAD patients investigated with both acute and non-acute presentations and the long follow-up period. In addition, the classification of lymphocytes as both categorical and continuous variables may have reduced potential bias. Several limitations should also be noted. The study does not prove a causal relation between lymphopenia and mortality, due to its retrospective observational design. In addition, although significant adjustment was made for confounding variables including malignancies, heart failure, and other vascular diseases, we cannot exclude residual confounding. We did not account for infectious causes or autoimmune diseases that are known to be associated with inflammatory markers. Parameters of immune activation such as C-reactive protein levels were not available, although we did adjust our data to NLR, an indicator of inflammation and oxidative stress that did not neutralize the independent association of lymphopenia with mortality. Moreover, we used median levels of all lymphocyte counts in the year prior to angiography, and therefore our results may not reflect the association of lymphocyte count during ACS with mortality. However, we did perform sensitivity analysis using the most recent lymphocyte count tested before angiography, achieving similar results. Finally, causes of death were not available, and therefore we could not evaluate the association of lymphopenia with specific causes of death.

Conclusions

Absolute lymphopenia, especially when severe, may identify patients presenting to coronary angiography who are at higher risk for mortality during long-term follow-up. This association, observed in both acute and non-acute coronary presentations, was more significant in younger age groups and was aggravated in patients with elevated RDW levels enhancing the predictive ability of lymphopenia. Routinely obtained immunohematologic blood indices have potential utility in clinical practice as biomarkers for long-term risk prediction in patients with CAD.