Cardiac-specific troponin T (cTnT) and cTnI were incorporated in the definition of acute myocardial infarction (AMI) by the American College of Cardiology and the American Heart Association guidelines. Troponins were also considered as the preferred indicator for myocardial injury and early risk stratification of patients who presented with suspected acute coronary syndrome (ACS) (
7). It was shown that the release of cardiac troponins was not only relevant to cardiac myocyte necrosis, but it was also identified in circulation in some clinical conditions without an apparent cardiac injury (
9). A high level of cTnI with complementary clinical presentation and other parameters such as electrocardiogram are indicative of acute myocardial infarction (
10). The application of troponins as a diagnostic agent in patients with ESRD is challenging, even though the upper reference limits were initially derived in subjects without kidney diseases (
11). Moreover, the reason and the precise mechanism for cTnI elevation in HD patients is unclear (
10,
12,
13).
In this cross-sectional study, the results of t-test demonstrated that age correlated with increased cTnI positivity, which was confirmed in multiple logistic regression analysis. Accordingly, for each year of increase in the patient’s age at admission, we observed a 2.1% increase in cTnI positivity. This correlation could be due to more comorbidities in elderly patients like DM, CVD, etc. Consistent with our results, Chen et al. found that age, diastolic blood pressure, and congestive heart failure were associated with an elevated cTnI level in non-ACS patients with CKD (OR = 2.30, 95% CI = 1.08, 4.88; P = 0.03) (
14). However, inconsistent with our results, Taheri et al. showed that age, body mass index (BMI), and time on PD had no significant correlation with serum cTnI level on 103 ambulatory PD patients (
15). This difference could be due to much more complicated patients admitted to the hospital.
The results of Pearson correlation showed more positive cTnI in patients admitted to Al-Zahra hospital than Noor-Ali Asghar hospital; this difference persisted in multiple logistic regression analysis. This is probably because Al-Zahra hospital is a referral hospital and its patients are more complicated than Noor-Ali Asghar hospital.
We also examined the relationship between positive cTnI and the cause of admission and cause of ESRD. The results of Pearson correlation illustrated that pulmonary diseases were associated with an increase in cTnI positivity, but the vascular access complications were associated with a decrease in cTnI positivity. Meanwhile, in multiple logistic regression analysis, the pulmonary diseases became ineffective, but the effects of vascular access complications persisted. This difference between the results of Pearson correlation and multiple logistic regression analysis can be due to the fact that patients with pulmonary diseases had different causes of admission, including pneumonia, pulmonary thromboembolism, chronic obstructive pulmonary disease (COPD), etc. Therefore, there were more confounding factors in Pearson correlation, which increased cTnI positivity.
While the results of Pearson correlation indicated only marginal correlations between hypertension as a cause of ESRD and cTnI positivity (P = 0.158), the results of multiple logistic regression analysis showed a threefold decrease in the risk of positive cTnI.
According to the results of Pearson correlation, in-hospital mortality was associated with more positive cTnI. However, the multiple logistic regression analysis results showed a twofold increase in cTnI positivity and mortality, but its effect was only marginal (P = 0.092). This might be due to the small sample size or the fact that most patients who died in the hospital were elderly and had more positive cTnI levels (
Table 3). Similar to our results, in a study by Khan et al. conducted on 102 patients, no significant difference in all-cause hospital admissions was present between the patients with normal cTnI levels and those with elevated cTnI levels. Serum cTnI was not significantly different between patients who died versus those who survived (
16).
The results of a study carried out by Hussein et al. on 93 asymptomatic HD patients showed that cTnI significantly correlated with the outcome of all‑cause mortality after one year (
17).
The relationship between different factors and mortality was investigated in multiple logistic regression analysis. The results showed that infectious diseases and vascular access complications, as cause of admission, and older age and hypertension, as cause of dialysis, were associated with mortality. Therefore, infectious diseases and older age increased mortality; this may be due to the fact that these patients often were ill and had different causes such as sepsis, diabetic foot ulcer, pneumonia, etc. The vascular access complications had less mortality because most of these patients were young and were admitted with such problems as infection, obstruction, or bleeding of vascular access. Also, in multiple logistic regression analysis, hypertension as a cause of dialysis decreased mortality, which can be justified by the fact that hypertension is a protective factor in ESRD patients. In a reverse epidemiological study by Ahmadi et al., it was shown that hypertension in ESRD patients decreased mortality (
18).
5.1. Conclusion
Our results show that although positive cTnI had a borderline association with in-hospital mortality in ESRD patients, further multicenter studies with a larger sample size are required to confirm the results.