Association of Troponin-I Level on Admission with 6-month Clinical Consequences in Acute Coronary Syndrome Patients: A Preventive Approach in Patient Care

• Main Authors: Hassan Ahangar (Author), Atefeh Heydari (Author), Mehran Tahrekhani (Author), Maryam Mohammadi (Author), Mohammad Abdi (Author), Ahmad Jalilvand (Author)
• Format: Book
• Published: Zanjan University of Medical Sciences and Health Services, 2021-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 10.52547/pcnm.11.4.1; 2588-4441; 2588-445X
• Keywords: troponin-i; acute coronary syndrome; sensitivity; specificity; preventive; Nursing; RT1-120
• Source: Preventive Care in Nursing and Midwifery Journal, Vol 11, Iss 4, Pp 1-7 (2021)

Background: Cardiovascular diseases are the leading cause of mortality worldwide. Therefore, it is important to predict the future consequences of the disease in patients who have recovered. Objectives: We sought to determine the relationship between troponin-I level and 6-month clinical consequences (i.e., re-infarction, death, re-angiography and coronary artery bypass grafting) in patients with acute coronary syndrome (ACS). Methods: This prospective cross-sectional study was performed among 60 patients with ACS admitted to Ayatollah Mousavi Hospital in Zanjan, Iran. The participants were chosen using the convenience sampling method. Troponin-I level in these patients was initially evaluated. Afterwards, they were followed up for six months in terms of clinical consequences. A checklist was prepared to collect the required data. The receiver operating characteristic (ROC) analysis was conducted to determine the predictive power of high-sensitivity troponin I for the mentioned consequences. Iodine index was calculated to determine the cutoff point for this enzyme in order to predict the consequences. Results: In general, 66.2% of the participants were male and the mean age was 60.46 ± 12.78 years. We found that 21.2% of the participants experienced one of the four clinical consequences in the follow-up period of 6 months. The sub-curved surface was calculated to be 0.705 for the prediction of consequences. The cutoff point for the prediction of consequences was 32.5; the negative predictive value for the cutoff point was 32.5, which was equal to 89.8%. Conclusion: Troponin-I has an acceptable predictive power to identify 6-month consequences of ACS. Moreover, considering the negative predictive value of troponin-I, it is recommended to use this biomarker in patients with ACS. In addition, healthcare providers should pay more attention to the follow-up of patients after discharge and design preventive programs.