Introduction: Since proper risk stratification in a growing population of patients with acute coronary syndrome (ACS) is challenging, a potential advantage of adding the elements of geriatric assessment to the commonly used Global Registry of Acute Coronary Events (GRACE) 2.0 scale in predicting the risk of 6‑month death requires investigation.
Objectives: We aimed to evaluate if adding the Tilburg Frailty Indicator (TFI), Mini‑Mental State Examination (MMSE), and multimorbidity assessed with the coronary artery disease (CAD)-specific index to the classic GRACE scale would improve its predictive power.
Patients and methods: The study group included 196 patients aged at least 65 years (mean [SD], 74.4 [8] years), hospitalized for ACS. The risk of 6‑month mortality was assessed with the GRACE scale, frailty syndrome (FS) with the TFI questionnaire, cognitive impairment with the Polish adaptation of the MMSE, and multimorbidity with the CAD‑specific index. After 6 months, a follow‑up telephone call was performed.
Results: To assess whether adding TFI, MMSE, and CAD‑specific index to the GRACE 2.0 scale improves its prognostic value, normalization was carried out. In comparison with GRACE alone (area under the curve [AUC] = 0.713), a combination of GRACE (normalized) and TFI (normalized) had higher predictive power for 6‑month mortality (AUC = 0.737). The risk of death was 7 times greater (relative risk of 7.02) in the patients who scored over 55.8 points in the test based on the GRACE and TFI. In a multivariable logistic regression analysis, the model based on GRACE, TFI, and MMSE (the lowest value of the Akaike information criterion) most effectively predicted the risk of death.
Conclusions: Adding the FS assessment to the traditional GRACE scale improves its prognostic value in elderly patients with ACS.
Risk prediction tools, such as the Global Registry of Acute Coronary Events (GRACE) 2.0 scale, have been developed in order to facilitate decision‑making in patients with myocardial infarction. However, regardless of the growing population of older patients, we still lack a risk assessment tool taking into account the geriatric syndromes, despite their known adverse effects on prognosis. Our study clearly shows that combining the assessment of elements of geriatric syndrome with routinely used GRACE scale increases its effectiveness in identifying the group at the highest risk of death and facilitates individualized and patient‑centered therapy of the elderly with acute coronary syndrome.
Cardiovascular diseases (CVDs) are the leading cause of morbidity and mortality in older populations. Due to demographic trends and the atherosclerotic nature of ischemic heart disease, the proportion of seniors among patients with acute coronary syndrome (ACS) increases. According to the National Registry of Acute Coronary Syndromes PL‑ACS, the annual number of hospitalizations due to ACS is estimated at about 140 000, with 26.1% of patients aged above 75 years.1 The average age of patients with nonpersistent ST‑segment elevation myocardial infarction (NSTEMI) in 2014 was 69 years.2 According to the National Myocardial Infarction Database, in the group of patients with persistent ST‑segment elevation myocardial infarction (STEMI), the average age was 74 years for women and 63 years for men.3 Elderly patients are underrepresented in clinical trials and less frequently treated invasively, therefore data on the optimal management of older adults with ACS are limited, and, as a consequence, decisions regarding treatment of older patients in everyday clinical practice are highly individualized.4 Therefore, we have observed an increased interest in the problems related to older age, such as frailty syndrome (FS), cognitive impairment (CI), and multimorbidity, with regard to systematizing their impact on clinical decisions and patient risk stratification.
Frailty, a common syndrome in older patients with ACS (prevalence of 35.1% to 43.2%), is characterized by a reduction in reserves and resistance to stress factors, which results from the cumulative reduction in the efficiency of various physiological systems.5-7 Literature indicates that frail patients with non–ST elevation ACS (NSTE‑ACS) are less frequently treated invasively, develop more complex coronary artery disease (CAD), are hospitalized longer, and are at a higher risk of death due to ACS.8 Multimorbidity, with the prevalence increasing with age, results in a more complex treatment process, predisposes to excessive drug consumption,9 and is associated with an increased risk of long‑term adverse cardiovascular events in older adults with NSTE‑ACS referred for coronary angiography.10 Multimorbidity predisposes to CI, common in older patients with ACS, which also has a proven adverse effect on the prognosis. The patients with CI are more likely to experience a major adverse cardiovascular event at 1 year,11 and CI diagnosed with Short Portable Mental Status questionnaire influenced long‑term outcomes (8 years after discharge) with a continuous inverse association between CI and death or recurrent MI.12
Proper risk stratification is becoming an increasing challenge in clinical practice. The Global Registry of Acute Coronary Events (GRACE) 2.0 score is a widely‑recognized, guideline‑recommended standard risk stratification tool for patients with ACS (STEMI and NSTE‑ACS).4 According to the guidelines, in patients with GRACE score over 140, coronary angiography should be performed within 24 hours, as an early invasive intervention in this group is associated with a shorter hospital stay and a reduced risk of recurrent ischemia.4 In the GRACE population, age was 1 of the 2 strongest predictors of death due to ACS within 6 months.13 Older age is undoubtedly a factor negatively affecting prognosis and complications in patients with ACS. However, chronological age does not reflect the individual course of the aging process. The GRACE scale, despite being a very good and recommended risk stratification tool for patients with ACS, tends to overestimate the risk. On one hand, the presence of FS significantly worsens the prognosis (half of the patients with FS died in the first year after ACS), but on the other hand, in the same study older patients without FS were reclassified to a group with a lower risk of death.14 Therefore, not only the presence but also the lack of FS in an elderly person holds a prognostic value.
The aim of this study was to assess a potential advantage of adding the studied geriatric assessment elements (FS, CI, and multimorbidity) to the GRACE scale commonly used in predicting the risk of 6‑month death in patients with ACS.
This was a single‑center, prospective study that included 196 patients hospitalized for ACS between 2013 and 2019 in the Cardiology Department of the Marciniak Lower Silesian Specialist Hospital in Wrocław (STEMI, n = 98; NSTE‑ACS, n = 98). The study group consisted of 119 men and 77 women, aged 65 to 97 years, at the mean (SD) age of 74.4 (8) years. In 178 patients (90.8%), an invasive strategy was undertaken, namely percutaneous coronary intervention (PCI) in 160 patients (81.6%) or coronary artery bypass grafting (CABG) in 18 patients (9.2%). The inclusion criteria comprised age of at least 65 years, clinical diagnosis of type 1 MI made according to the European Society of Cardiology criteria (third universal definition of MI),15 and written informed consent to participate in the study. The exclusion criteria were poor mental condition (deep dementia defined as the Mini‑Mental State Examination [MMSE] score below 11) and poor physical condition as assessed by a physician (vision or hearing impairment, impairment of the motor function of hands) preventing completion of the surveys. The study was approved by the Bioethics Committee of the Medical University in Wrocław (650/2018).
During hospitalization for MI (at least 48 h from admission, after a transfer from an intensive cardiac care unit to a cardiology department), the examinations and tests described below were performed by an experienced physician. CI was assessed using the Polish adaptation of the MMSE Brief Mental State Assessment Scale.16,17 The maximal score is 30 points, the score of 27–30 is considered normal, of 24–26 indicates mild CI, of 19–23 mild dementia, of 11–18 moderate dementia, and the score below 11 reflects deep dementia (patients with deep dementia were excluded from the study). FS was assessed with the Tilburg Frailty Indicator (TFI) questionnaire, based on a broad concept of FS, taking into account the physical (8 points), mental (4 points), and social (3 points) domains.18,19 The CAD‑specific index was used to assess multimorbidity,20 and the risk of 6‑month mortality was assessed according to the GRACE scale. After 6 months, a follow‑up telephone call was performed to gain information about the late complications, such as reinfarction, coronary revascularization, stroke, or death.
Data were analyzed using Statistica v.13.3 package (TIBCO Software Inc., Palo Alto, California, United States). A P value below 0.05 was considered significant. Continuous variables were checked for normality using the Shapiro–Wilk test (normal for P >0.05). Classic descriptive statistics were used to describe the variables, that is, mean and SD for normally distributed variables, median and interquartile range for non‑normally distributed variables, and frequency and percentage for qualitative variables. Independent sample t test, the Mann–Whitney test, or the χ2 test were used to appropriately test the distribution of the studied variables. The Spearman rank correlation coefficient (ρ) was used to assess significance of the relationship between 2 quantitative parameters. To enable the comparison of scales with different ranges of variability and different directions, normalization was carried out, that is, preliminary processing of the data in such a way that the worst observed assessment corresponded to the value of 0, and the best to the value of 100. The following formula was used:
zi = (xi – xmin) × (100/[xmax–xmin])
where: zi – normalized score of the patient “i”
xi – original score of the patient “i”
xmin – the lowest score in the studied group
xmax – the highest score in the studied group.
Based on the analysis of the receiver operating characteristic (ROC) curves, cutoff values were determined for the quantitative variables with the best prognosis for occurrence of death within 6 months. The Youden index was used as a criterion for selecting the optimal cutoff point(s): J = sensitivity + specificity – 1. Areas under the ROC curve (AUCs) were used to compare the test performance.
The parameters of the multivariable logistic regression models for all combinations of independent variables included in the ROC analysis were estimated using the forward stepwise technique.
The significance of differences between 2 AUCs was assessed using the DeLong test. Relative risk (RR) was estimated based on the number of patients in contingency Tables (2 × 2). The confidence interval around the RR was estimated by calculating the natural logarithm of the RR and its standard error, and later back‑transformed by exponential function.21
The multivariable logistic analysis was performed, with death up to 6 months as a dichotomous dependent value, and the scores of GRACE, TFI, MMSE, and CAD‑specific index as the independent values. The values of the regression coefficients were estimated using the maximum likelihood method, and their significance in the models was verified using the Wald test. The goodness of fit for the logistic regression models was assessed using the Akaike and Bayesian information criteria.
The study group consisted predominantly of men (60.7%), and the mean (SD) age of the entire group was 74.4 (8) years. Most patients (72.4%) were hypertensive. The same percentage of patients was diagnosed with STEMI or NSTEMI. An invasive strategy was undertaken in 90.8% of the patients (Table 1), including PCI in 160 patients (81.6%) and CABG in 18 patients (9.2%). Twelve patients (6%) presented with acute heart failure on admission (Killip–Kimball class, III–IV). Mean (SD) left ventricular ejection fraction measured by the Simpson method on echocardiography was 45% (10%). FS was diagnosed in 69.9% of the patients, and the mean (SD) TFI score was 6.7 (2.9) points. CI was diagnosed in 64.3% of the patients, dementia in 38.3%, and the mean (SD) MMSE score was 24.3 (4.2) points. The mean (SD) multimorbidity CAD‑specific index score was 2.1 (1.9) points (Table 2).
Parameter | Value | |
Abbreviations: ACEI, angiotensin‑converting enzyme inhibitors; ARB, angiotensin receptor blockers; ASA, acetylsalicylic acid; CABG, coronary artery bypass graft; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; GFR, glomerular filtration rate; Hb, hemoglobin; IQR, interquartile range; LVEF, left ventricular ejection fraction; NOAC, non–vitamin K antagonist oral anticoagulants; NSTE‑ACS, non–ST‑elevation acute coronary syndrome; NSTEMI, non–ST‑segment elevation myocardial infarction; OAC, oral anticoagulants; PCI, percutaneous coronary intervention; STEMI, ST‑segment elevation myocardial infarction | ||
Age, y | Mean (SD) | 74.4 (8) |
Median (IQR) | 74 (67–81) | |
Men, n (%) | 119 (60.7) | |
Smoking, n (%) | 41 (20.9) | |
Hypertension, n (%) | 142 (72.4) | |
Diabetes, n (%) | 59 (30.1) | |
COPD, n (%) | 18 (9.2) | |
CKD, GFR <60 ml/min/1.73 m2, n (%) | 42 (21.4) | |
Hb, g/dl, mean (SD) | 13.3 (1.8) | |
LVEF, %, mean (SD) | 45 (10) | |
Acute heart failure (Killip–Kimball scale III–IV), n (%) | 12 (6) | |
Prevalence of STEMI/NSTE‑ACS, n (%) | ||
STEMI | 98 (50) | |
NSTEMI‑ACS | 98 (50) | |
Strategy, n (%) | ||
PCI | 160 (81.6) | |
CABG | 18 (9.2) | |
Preventive strategy | 18 (9.2) | |
Pharmacological treatment, n (%) | ||
β-Blocker | 176 (49) | |
ACEI/ARB | 162 (45.1) | |
OAC/NOAC | 21 (5.9) | |
Statin | 187 (95.4) | |
ASA | 189 (96.4) | |
P2Y12 receptor inhibitor | 192 (97.9) | |
Parameter | Value |
Abbreviations: CAD, coronary artery disease; MMSE, Mini‑Mental State Examination; TFI, Tilburg frailty indicator; others, see Table 1 | |
Frailty syndrome | |
TFI score, points, mean (SD) | 6.7 (2.9) |
Prevalence of frailty syndrome in the study group (TFI >4 points), n (%) | 137 (69.9) |
Cognitive disorder | |
MMSE score, points, mean (SD) | 24.3 (4.2) |
Prevalence of cognitive disorder in the study group (<27 points), n (%) | 126 (64.3) |
Multimorbidity | |
CAD‑specific index, median (IQR) | 2 (1–3) |
In the group with FS, the risk of 6‑month death calculated using the GRACE scale was higher (P <0.001) than in the group without FS (Table 3). A positive correlation was observed between the severity of FS and the risk of death within 6 months (ρ = 0.487; P <0.001). An increase by 1 point in the TFI score was associated with an increase by 4.5 points in the GRACE score. In the group with CI, the 6‑month risk of death calculated using the GRACE scale was higher (P <0.001) than in the group without CI (Table 4). A positive correlation was observed between the severity of CI and the risk of death within 6 months (ρ = –0.44; P <0.001). A decrease in MMSE score by 1 point was associated with an increase by 2.8 points in the GRACE score.
Frailty syndrome | Not present (TFI ≤4; n = 59) | Present (TFI >4; n = 137) | Test result |
Risk of 6‑month mortality according to the GRACE 2.0 scale, points | |||
Median (IQR) | 113 (97–123) | 135 (118–152) | Z = –6.477 |
Min–Max | 27–184 | 84–202 | P <0.001 |
Risk of 6‑month mortality according to the GRACE 2.0 scale, % | |||
Median (IQR) | 5.8 (3.3–8.6) | 12.6 (6.8–20.9) | Z = –6.167 |
Min–Max | 2.4–3.1 | 2.4–59.3 | P <0.001 |
Cognitive impairment | Not present (MMSE ≥27; n = 70) | Present (MMSE <27; n = 126) | Test result |
Risk of 6‑month mortality according to the GRACE 2.0 scale, points | |||
Mean (SD) | 114.6 (22.8) | 135 (26) | t = –5.612 |
Min–Max | 60–184 | 27–202 | P <0.001 |
Risk of 6‑month mortality according to the GRACE 2.0 scale, % | |||
Median (IQR) | 8 (5.4–14) | 12 (8–22) | Z = –5.0708 |
Min–Max | 1.45–70 | 2.7–79 | P <0.001 |
The cutoff values for each of the 4 analyzed parameters and for their combinations are presented in Table 5.
Risk factor | Cutoff | Sensitivity | Specificity | Accuracy | AUC (95% CI) |
a The scale direction was changed during normalization, and a higher number of points corresponds to a higher risk.
| |||||
GRACE | >124 | 0.895 | 0.469 | 0.51 | 0.713 (0.608–0.818) |
GRACE norm. | >55 | 0.895 | 0.469 | 0.51 | 0.713 (0.608–0.818) |
TFI | >8 | 0.737 | 0.627 | 0.638 | 0.711 (0.585–0.836) |
TFI norm. | >57 | 0.737 | 0.627 | 0.638 | 0.711 (0.585–0.836) |
MMSE | <24 | 0.65 | 0.684 | 0.653 | 0.658 (0.519–0.797) |
MMSE norm.a | >57 | 0.65 | 0.684 | 0.653 | 0.658 (0.519–0.797) |
CAD‑specific index | >2 | 0.579 | 0.492 | 0.5 | 0.54 (0.405–0.675) |
CAD‑specific index norm. | >16 | 0.579 | 0.492 | 0.5 | 0.54 (0.405–0.675) |
GRACE+TFI norm. | >55.8 | 0.842 | 0.599 | 0.622 | 0.737 (0.621–0.854) |
GRACE+MMSE norm. | >49.4 | 0.737 | 0.695 | 0.699 | 0.707 (0.586–0.829) |
GRACE+TFI+MMSE norm. | >55.4 | 0.684 | 0.797 | 0.786 | 0.731 (0.604–0.858) |
GRACE+TFI+MMSE+CAD‑specific index norm. | >43.6 | 0.737 | 0.74 | 0.74 | 0.726 (0.606–0.845) |
The test based on the GRACE and TFI score had the best prognostic ability (AUC = 0.737), and the test based on the GRACE score had the best sensitivity (0.895), but poor specificity (0.469). The test based on the GRACE, TFI, and MMSE score had the highest accuracy (0.786) and the highest specificity (Table 5). AUC comparison for these 3 tests did not reveal significant differences.
Following the RR calculations, the test based on the GRACE and TFI score had the highest predictive power. In the patients with the score exceeding 55.8 points, the risk of death was 7 times greater (RR = 7.02) (Table 6).
Test | Death (n = 19) | Survival (n = 177) | P value | RR (95% CI) | ||
n | % | n | % | |||
GRACE 6‑month >124 points | 17 | 89.5 | 94 | 53.1 | 0.003 | 6.51 (1.46–28.9) |
GRACE 6‑month ≤124 points | 2 | 10.5 | 83 | 46.9 | 1 (ref) | |
GRACE+TFI >55.8 points | 16 | 84.2 | 71 | 40.1 | <0.001 | 7.02 (1.99–24.7) |
GRACE+TFI ≤55.8 points | 3 | 15.8 | 106 | 59.9 | 1 (ref) | |
GRACE+TFI+MMSE >55.4 points | 13 | 68.4 | 36 | 20.3 | <0.001 | 6.5 (2.34–18) |
GRACE+TFI+MMSE ≤55.4 points | 6 | 31.6 | 141 | 79.7 | 1 (ref) | |
Multivariable logistic regression analysis was performed, and the values of regression coefficients estimated with the maximum likelihood method are presented in Table 7. The model based on GRACE, TFI, and MMSE most effectively predicted the risk of death (the lowest value of the Akaike information criterion of 66.5). Both model 5 containing 3 scores (GRACE, TFI, and MMSE; RR, 4.51) and model 2 encompassing 2 scores (GRACE and TFI; RR, 3.66) showed better predictive efficiency than model 1 containing GRACE score only (RR, 2.38; Table 8).
Model | Slope b0 | GRACE 2.0 (pts) b1 | TFI (pts) b2 | MMSE (pts) b3 | CAD SI (pts) b4 | AIC | BIC |
1 | –6.088 | 0.028 | – | – | – | 77 | 86.8 |
2 | –6.409 | 0.019 | 0.209 | – | – | 66.8 | 79.9 |
3 | –4.101 | 0.024 | – | –0.062 | – | 76.7 | 89.8 |
4 | –6.123 | 0.028 | – | – | 0.02 | 78.8 | 91.9 |
5 | –6.546 | 0.019 | 0.212 | 0.004 | – | 66.5 | 79.4 |
6 | –6.553 | 0.019 | 0.212 | 0.004 | 0.001 | 70.2 | 80.3 |
Model | Cutoff | Death within 6 months | P value | RR (95% CI) | |
Yes, n (%) | No, n (%) | ||||
Model 1 (GRACE 2.0) | ≥0.081 | 12 (63.2) | 70 (39.6) | 0.054 | 2.38 (0.9–6.32) |
<0.081 | 7 (36.8) | 107 (60.4) | 1 (ref) | ||
Model 2 (GRACE 2.0+TFI) | ≥0.085 | 14 (73.7) | 71 (40.1) | 0.007 | 3.66 (1.27–10.5) |
<0.085 | 5 (26.3) | 106 (59.9) | 1 (ref) | ||
Model 5 (GRACE 2.0+TFI+MMSE) | ≥0.081 | 15 (79) | 74 (41.8) | 0.003 | 4.51 (1.44–14.1) |
<0.081 | 4 (21) | 103 (58.2) | 1 (ref) | ||
Risk stratification in a growing population of elderly patients suffering from CVDs is becoming an increasing challenge in everyday clinical practice and a subject of intensive research.22 Proper risk stratification is of great importance, as it allows clinicians to identify the most vulnerable population and to improve its prognosis by planning an optimal model of care. The GRACE 2.0 score is a widely recognized, guideline‑recommended standard risk stratification tool for patients with ACS (STEMI and NSTE‑ACS).4 Despite the fact that age was 1 of the 2 strongest predictors of death due to ACS within 6 months in the GRACE population,13 there is an increasing awareness among clinicians and researchers that the process of aging is highly individual and chronological age is not the same as biological age. Therefore, increasing interest in geriatric problems, such as FS, CI, and multimorbidity, and their impact on the patient risk stratification has been recently witnessed. Literature data showed that patients with FS score higher on the GRACE scale.14 The results of 2 recent meta‑analyses indicate that FS in patients with MI is associated with a greater risk of mortality.23,24 What is more, data from the SWEDEHEART registry25 show that frailty in patients with MI is independently associated with 6‑month mortality, after adjustment for age, sex, and GRACE risk score components. In our work, the frailty group also achieved a higher mean score on the GRACE scale, and, as a consequence, presented a significantly higher estimated 6‑month risk of death than the nonfrailty group. Moreover, a positive correlation was observed between the severity of frailty and the estimated risk of death within 6 months. This raises a question whether the inclusion of geriatric assessment could improve the risk stratification in elderly patients with ACS. Some literature reports support this thesis. In the LONGEVO‑SCA registry,26 a prospective, multicenter study including 532 patients aged 80 years or older hospitalized for NSTE‑ACS (with 27.3% prevalence of frailty), frailty assessed with the FRAIL scale was an independent predictor of all‑cause 6‑month mortality. Additionally, the multivariable predictive model including age, GRACE score, comorbidities, and frailty was significantly more effective in predicting death at 6 months than the GRACE score (AUC, 0.83; 95% CI, 0.77–0.89 vs AUC, 0.75; 95% CI, 0.68–0.82; P = 0.03). In the ICON 1 study27 population (280 patients with NSTEMI aged ≥65 years, 27.5% assessed as frail according to the Fried criteria), the authors identified 6 prognostic factors for mortality in 12‑month follow‑up, and created a 6‑component scale named Fried‑Heart (Fried frailty, Killip–Kimball class, hypertension, age, peripheral artery disease, ability to dress independently). The Fried‑Heart score showed better predictive value than the GRACE score, which may indicate the benefits of adding the frailty status into risk stratification. Sanchis et al28 showed that in 342 elderly patients (>65 years old) hospitalized for ACS, geriatric conditions such as frailty (assessed with the Green and Fried scores), CI, and comorbidities were associated with worse prognosis. The Green score of 5 or above was the strongest predictor of 30‑month mortality, and adding the Green score to the GRACE scale improved the prognostic value for mortality in 2.5‑year follow‑up (AUC GRACE, 0.726 vs AUC GRACE + Green ≥5, 0.776). Interestingly, in the study by Sanchis et al,28 after adjusting for the Green score, the Fried score was not predictive of mortality. It is worth emphasizing that scales such as the Green score that include an effort testing element (walk speed, handgrip strength, stand‑up test) may be difficult to use during hospitalization for ACS.
Rittger et al29 showed that in a group of 106 patients with NSTE‑ACS, the frailty index combining different parameters of functional impairment (Clinical Frailty Scale ≥7; MMSE ≤2; Instrumental Activities of Daily Living ≤7) significantly predicted conservative treatment (64% patients were treated invasively, and 36% conservatively). In this observational study, a decision to perform angiography was left to the discretion of the treating physician.29
In most of the studies mentioned above, FS was defined by a phenotypic model (using the FRAIL scale, Fried scale, or Green score),25-27 and focused only on the physical aspect of frailty. However, the TFI, used in our study, is a multidimensional questionnaire evaluating not only physical but also psychological and social aspects of frailty. It is a simple tool (assessing parameters only of the greatest prognostic significance), well‑validated, and easy to use and interpret in everyday clinical practice,18,19 and it enables comprehensive patient assessment, including the biopsychosocial aspects.
In our study group of elderly patients with ACS, we investigated whether adding the scales used in geriatric assessment (TFI, MMSE, CAD‑specific index) to the GRACE 2.0 scale improves its prognostic power to predict death in 6‑month follow‑up. To enable comparison of the results, the parameters of the abovementioned scales were normalized, then ROC curves were determined and analyzed. We demonstrated that adding the assessment of FS (with the TFI questionnaire) to the GRACE 2.0 scale increases its prognostic value for 6‑month mortality, with the scale composed of GRACE (normalized) + TFI (normalized) having the highest predictive power (AUC = 0.737; for GRACE 2.0 score >124 points AUC was 0.713).
Our work is the first to document a benefit of adding the assessment of FS with the TFI to the GRACE 2.0 scale commonly used in ACS risk stratification in the population of elderly patients. However, as we studied a relatively small group, further research is needed to better consolidate the results.
The study was a single‑center one, included only white patients, and the study group was relatively small and highly heterogenous. Although sex‑specific differences in the course and risk factors of coronary heart disease are described in the literature,30 we did not study sex differences in risk stratification, as women were underrepresented in our study (30.7%). In the study population, CI was diagnosed in 64.3% of the patients and dementia in 38.3% according to MMSE, but the MMSE results were not adjusted for education and age according to the Mungas formula, which could reduce the sensitivity and specificity of the CI assessment. The most fragile and cognitively impaired patients were excluded from the study due to inability to provide a written informed consent and deep dementia, which could influence the results.
To conclude, in light of our results it seems reasonable to combine the geriatric assessment with the commonly used GRACE scale in the population of elderly patients with ACS, as it increases the predictive power of the scale for 6‑month mortality, and could prove useful in introducing a tailored approach for a rising population of older patients with ACS.
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