| Literature DB >> 28781317 |
Taro Ichise1, Hayato Tada1, Kenji Sakata1, Masa-Aki Kawashiri1, Masakazu Yamagishi1, Kenshi Hayashi1.
Abstract
Objective High-sensitivity cardiac troponin T (hs-cTnT) is widely used for the diagnosis of acute myocardial infarction (AMI). The current cut-off value of 0.014 ng/mL was determined based on the 99th percentile of a normal reference population; however, little data exist regarding the appropriate cut-off value in the elderly (≥75 years). Accordingly, we aimed to investigate the accuracy of the current cut-off value in an elderly population. Methods We assessed 355 consecutive patients (mean age =66.7±16.1 years, male =210) whose hs-cTnT levels were measured at Kanazawa University Hospital from January 2014 to July 2015. Twenty-six patients were eventually diagnosed with AMI. Hs-cTnT was measured during a visit to the emergency or outpatient department. Receiver operating characteristic (ROC) curves were assessed to determine the appropriate cut-off levels, yielding the maximum sensitivity and specificity while dividing the subjects into two groups according to ages (≥75 or ≤74 years). Results The appropriate overall cut-off value was 0.038, the sensitivity and specificity of which were 85% and 89%, respectively, with an area under the ROC curve (AUC) of 0.945 overall. The conventional cut-off value (99th percentile: 0.014 ng/mL) provided low specificity, particularly in the elderly or those with renal dysfunction. In contrast, a calculated appropriate cut-off provided higher sensitivity with significantly larger c-statistics in the elderly (0.940 vs. 0.629, p<0.001). Conclusion When measuring hs-cTnT, careful assessments are needed in elderly subjects.Entities:
Keywords: acute myocardial infarction; elderly; high-sensitivity cardiac troponin T
Mesh:
Substances:
Year: 2017 PMID: 28781317 PMCID: PMC5596267 DOI: 10.2169/internalmedicine.8510-16
Source DB: PubMed Journal: Intern Med ISSN: 0918-2918 Impact factor: 1.271
Baseline Characteristics of Subjects.
| Variable | All | ≥75years | <75years | p value |
|---|---|---|---|---|
| n=355 | n=128 | n=227 | ||
| AMI | 26 | 8 | 18 | 0.673 |
| Male gender | 210 (59%) | 70 (55%) | 140 (62%) | 0.217 |
| Age (years) | 66.7±16.1 | 81.6±5.0 | 58.3±14.0 | <0.001 |
| Hypertension | 229 (65%) | 109 (85%) | 120 (53%) | <0.001 |
| Hypercholesterolemia | 111 (31%) | 44 (34%) | 67 (30%) | 0.343 |
| Diabetes mellitus | 95 (27%) | 46 (36%) | 49 (22%) | <0.001 |
| Current smoking | 47 (13%) | 9 (7%) | 38 (17%) | 0.0326 |
| Prior coronary artery disease | 66 (19%) | 37 (29%) | 29 (13%) | <0.001 |
| Prior myocardial infarction | 34 (10%) | 17 (13%) | 17 (7%) | 0.0909 |
| Prior PCI | 46 (13%) | 22 (17%) | 24 (11%) | 0.0674 |
| Prior CABG | 16 (5%) | 11 (9%) | 5 (2%) | <0.001 |
| Impaired kidney function | 57 (16%) | 34 (27%) | 23 (10%) | <0.001 |
| Previous stroke | 44 (12%) | 25 (20%) | 19 (8%) | <0.001 |
| Peripheral artery disease | 12 (3%) | 9 (7%) | 3 (1%) | <0.001 |
| eGFR<60mL/min/1.73m2 | 124 (35%) | 69 (54%) | 55 (24%) | <0.001 |
| Creatinine, mg/dL | 1.13 ± 1.64 | 1.15 ± 1.01 | 1.11 ± 1.88 | 0.829 |
| eGFR, mL/min/1.73m2 | 71.71 ± 31.2 | 58.89 ± 26.6 | 78.94 ± 31.2 | <0.001 |
| CK, IU/L | 235 ± 644 | 308 ± 919 | 194 ± 410 | 0.111 |
| CKMB, IU/L | 21 ± 45 | 26 ± 64 | 19 ± 26 | 0.186 |
| BS, mg/dL | 146 ± 65 | 152 ± 64 | 142 ± 65 | 0.194 |
| HbA1c, % | 6.18 ± 1.15 | 6.34 ± 0.95 | 6.08 ± 1.23 | 0.112 |
| LDL-C, mg/dL | 103 ± 38 | 77 ± 29 | 112 ± 41 | 0.0206 |
Data are given as n (%) or mean ± SD. AMI: acute myocardial infarction, PCI: percutaneous coronary intervention, CABG: coronary artery bypass grafting, eGFR: estimated glomerular filtration rate, BS: blood suger, LDL-C: low-density lipoprotein cholesterol
Figure 1.ROC curve determining the overall appropriate cut-off levels. A circle indicates the appropriate cut-off value determined by ROC curve. A triangle indicates the conventional cut-off value.
Figure 3.ROC curve determining the appropriate cut-off levels divided by renal function. Circles indicate the appropriate cut-off values determined by ROC curves. Triangles indicate the conventional cut-off values.
Comparisons between the AUC of Conventional Cut-off and That of Appropriate Cut-off Divided by Age and Renal Function.
| conventional cut-off | appropriate cut-off | p value | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Value | AUC | Sensitivity | Specificity | NPV | Value | AUC | Sensitivity | Specificity | NPV | |||
| All patients (n=355) | 0.769 | 100 | 53 | 100 | 0.038 | 0.945 | 89 | 85 | 99 | <0.001 | ||
| Age | ||||||||||||
| ≥75 (n=128) | 0.629 | 100 | 26 | 100 | 0.07 | 0.94 | 88 | 84 | 99 | <0.001 | ||
| <75 (n=227) | 0.014 | 0.849 | 100 | 71 | 100 | 0.02 | 0.95 | 100 | 76 | 100 | <0.001 | |
| eGFR (mL/min/1.73m2) | ||||||||||||
| <60 (n=124) | 0.615 | 100 | 23 | 100 | 0.239 | 0.899 | 80 | 95 | 97 | <0.001 | ||
| ≥60 (n=231) | 0.845 | 100 | 69 | 100 | 0.07 | 0.959 | 81 | 98 | 99 | <0.001 | ||
AUC: area under curve, NPV: negative predictive value
Figure 2.ROC curve determining the appropriate cut-off levels divided by age. Circles indicate the appropriate cut-off values determined by ROC curves. Triangles indicate the conventional cut-off values.
Concurrent Diseases in the Patients with False Positive.
| False positive | n=151 |
|---|---|
| Cardiac disease | |
| Heart failure | 19 |
| Supraventricular arrhythmia | 6 |
| After cardiopulmonary resuscitation | 5 |
| Ventricular arrhythmia | 4 |
| Aortic dissection | 4 |
| Takotsubo cardiomyopathy | 2 |
| Pericarditis | 2 |
| Myocarditis | 1 |
| Aortic rupture | 1 |
| Non cardiac disease | |
| Stroke | 8 |
| Respiratory disease | 5 |
| Gastrointestinal disease | 12 |
| Hypoglycemia | 3 |
| Unknown | 79 |