| Literature DB >> 35799562 |
Slomi Gupta1, Parimala Prasanna Simha1, Naveen G Singh1, P S Nagaraja1, Ashita Barthur2, Kartik Ganga2, V Prabhakar1.
Abstract
Aim: To determine the factors associated with an inadequate response to adenosine infusion during cardiac stress magnetic resonance imaging (MRI). Study Design: It is a retrospective cohort study. Introduction: Stress cardiac MRI is a highly accurate and non-invasive method to diagnose coronary artery disease (CAD). Stress MRI is performed by inducing stress with adenosine infusion. There is an increase in systemic and myocardial blood flow (MBF) with vasodilator agents. Capillaries are maximally dilated in a diseased artery and cannot sustain increased myocardial oxygen demand. It results in delayed delivery of contrast, which leads to an area of perfusion defect in the myocardium. These perfusion defects can be accurately seen by cardiovascular magnetic resonance (CMR) and help in the prognosis of patients.Entities:
Keywords: Adenosine; cardiac stress MRI; left ventricular end-diastolic volume
Mesh:
Substances:
Year: 2022 PMID: 35799562 PMCID: PMC9387612 DOI: 10.4103/aca.aca_43_22
Source DB: PubMed Journal: Ann Card Anaesth ISSN: 0971-9784
Patient characteristics of the study population
| Parameter | Responders | Non-responders | |
|---|---|---|---|
| Age | 56.04±14 | 53.11±18.34 | 0.574 |
| Height | 161.52±9.95 | 166.56±5.81 | 0.140 |
| Weight | 68.28±12.90 | 73.48±6.37 | 0.236 |
| BSA | 1.73±0.21 | 1.83±0.08 | 0.160 |
| Male | 62 (68.8) | 9 (1) | 0.048 |
| DM | 29 (32.2) | 2 (22.2) | 0.537 |
| HTN | 35 (38.8) | 2 (22.2) | 0.324 |
| Hypothyroid | 3 (3.33) | 0 | 0.578 |
| Smoker | 1 (1.1) | 1 (11.1) | 0.042 |
| EF | 55.04±10.67 | 48.67±10.57 | 0.091 |
| LVESV | 60.70±35.46 | 99.67±42.10 | 0.003 |
| LVEDV | 127.49±39.69 | 181.11±50.123 | 0.00 |
| LVEDD | 50.28±6.442 | 55.67±7.64 | 0.021 |
| LVSVI | 35.01±19.85 | 54.52±23.137 | 0.007 |
| LA DIAMETER | 39.79±5.78 | 44.11±5.32 | 0.034 |
| RWMA | 25 (27.7) | 5 (55.5) | 0.084 |
| AF | 3 (3.33) | 0 | 0.578 |
| HR REST | 80.25±14.09 | 75.79±17.76 | 0.378 |
| SBP REST | 148.32±23.52 | 135.67±20.61 | 0.123 |
| DBP REST | 89.53±18.17 | 81.89±12.30 | 0.221 |
Hemodynamic parameters at rest and during adenosine stress
| Responders rest | Responders | Non-responders rest | Non-responders | |||
|---|---|---|---|---|---|---|
| HR bpm | 80.25±14.09 | 107.89±18.29 | <0.0001 | 75.78±17.76 | 88.67±16.89 | 0.0068 |
| SBP | 148.45±23.62 | 140.17±26.04 | 0.0001 | 135.67±20.61 | 131.11±18.54 | 0.1324 |
| DBP | 89.53±18.18 | 83.43±15.28 | 0.0006 | 81.89±12.30 | 80.44±9.07 | 0.46 |
Multivariate logistic regression model for predictors in non-responders
| Variable | Coefficient | Standard Error | Significant | Odds Ratio | 95% CI | |
|---|---|---|---|---|---|---|
|
| ||||||
| Lower | Upper | |||||
| Height | -0.098 | 0.127 | 0.438 | 0.906 | 0.707 | 1.162 |
| BSA | 3.509 | 5.651 | 0.535 | 33.412 | 0.001 | 2158165.416 |
| Preop EF | -0.010 | 0.070 | 0.887 | 0.990 | 0.863 | 1.136 |
| LVESV | -0.113 | 0.107 | 0.291 | 0.893 | 0.724 | 1.102 |
| LVEDV | 0.077 | 0.038 | 0.043* | 1.080 | 1.002 | 1.164 |
| LVEDD | -0.009 | 0.132 | 0.943 | 0.991 | 0.765 | 1.283 |
| LVSVI | 0.111 | 0.181 | 0.538 | 1.118 | 0.784 | 1.592 |
| LA DIA | 0.018 | 0.105 | 0.862 | 1.018 | 0.829 | 1.250 |
| SBP rest | -0.028 | 0.022 | 0.213 | 0.973 | 0.931 | 1.016 |
| Gender | -20.755 | 5996.727 | 0.997 | 0.000 | 0.000 | 0.000 |
| Smoker | 1.669 | 1.819 | 0.359 | 5.309 | 0.150 | 187.474 |
| RWMA | -0.974 | 1.190 | 0.413 | 0.378 | 0.037 | 3.891 |
| Constant | 25.364 | 5996.762 | 0.997 | 103614267538.269 | ||
*P<0.05