| Literature DB >> 34036093 |
Aryan Naghedi1, Nasim Namiranian2, Mohsen Goudarzi3, Reza Nafisi Moghadam3, Seid Kazem Razavi-Ratki3.
Abstract
Background and aim: Ischemic heart diseases lead to numerous deaths worldwide. Prevention, rapid diagnosis and treatment are principal strategies in controlling mortality due to coronary artery diseases (CAD). Considering variety of options, finding suitable diagnostic modality for each patient has been controversial for long times. Exercise treadmill test (ETT) is a well-known and old modality compared to radionuclide scintigraphy. In this study we aimed to assess if heart rate recovery (HRR) and exercise capacity (EC) in ETT can predict perfusion defects in 99mTc-MIBI SPECT myocardial perfusion imaging (MPI). Materials and methods: In this cross-sectional, descriptive-analytic study, we enrolled 254 patients referred for MPI to nuclear medicine department of Afshar or Shahid Sadoughi Hospital, Yazd, Iran. All patients underwent ETT and MPI. HRR and EC in ETT plus abnormal perfusion findings in MPI along with patient's history and demographic information were recorded in a questionnaire. Finally, all data were analyzed using SPSS ver.22 software.Entities:
Year: 2021 PMID: 34036093 PMCID: PMC8133787 DOI: 10.21542/gcsp.2021.7
Source DB: PubMed Journal: Glob Cardiol Sci Pract ISSN: 2305-7823
Descriptive results related to ETT findings in study population.
| Minimum | Maximum | Mean ±SD | |
|---|---|---|---|
| 1st minute HRR | 3 | 80 | 34 ±13 |
| 2nd minute HRR | 1 | 94 | 42 ±15 |
| EC (METs) | 1 | 17 | 10.9 ±2.3 |
Descriptive statistic table related to different abnormal MPI findings. (0: normal, 1: mild ischemia, 2: moderate ischemia, 3: severe ischemia, 4: no perfusion).
| Perfusion defect | Frequency | Percentage |
|---|---|---|
| 0 | 208 | 81.9% |
| 1 | 15 | 5.9% |
| 2 | 6 | 2.4% |
| 3 | 13 | 5.1% |
| 4 | 12 | 4.7% |
| Total | 254 | 100% |
| Transient RV visualization | 3 | 1.2% |
| TID | 9 | 3.5% |
| LHR | 2 | 0.8% |
Association between ETT indices and transient RV visualization.
| Transient RV visualization | Mean ±SD | ||
|---|---|---|---|
| 1st minute HRR | YES | 26 ±17.3 | 0.7 |
| NO | 34 ±13.8 | ||
| 2nd minute HRR | YES | 24 ±23 | 0.6 |
| NO | 42 ±15.5 | ||
| EC (METs) | YES | 5.7 ±2.4 | 0.08 |
| NO | 11.04 ±2.2 |
Association between ETT indices and TID.
| TID | Mean ±SD | ||
|---|---|---|---|
| 1st minute HRR | YES | 36.2 ±11.45 | 0.4 |
| NO | 34.3 ±14 | ||
| 2nd minute HRR | YES | 35 ±13.2 | 0.5 |
| NO | 42.5 ±15.7 | ||
| EC (METs) | YES | 10 ±2 | 0.9 |
| NO | 11 ±2.3 |
Association between ETT indices and LHR.
| LHR | Mean ±SD | ||
|---|---|---|---|
| 1st minute HRR | YES | 23.5 ±12 | 0.66 |
| NO | 34.5 ±13.9 | ||
| 2nd minute HRR | YES | 30 ±7 | 0.23 |
| NO | 42.3 ±15.7 | ||
| EC (METs) | YES | 8.85 ±0.7 | 0.09 |
| NO | 10.9 ±2.3 |