| Literature DB >> 32727853 |
Magdalena Maria Cattaneo1,2, Emanuele Pravatà3, Augusto Gallino4,5, Mattia Cattaneo4,6, Micol Provenzi7, Marco Moccetti6, Alain Kaelin3, Isabella Sudano8, Luigi Biasucci9, Camilla Gallino4, Costanzo Limoni10, Carlo Calanchini11, Filippo Crea9.
Abstract
INTRODUCTION ANDEntities:
Keywords: autonomic regulation; cardiomyopathy apical; endothelial function; microvascular; syndrome X
Year: 2020 PMID: 32727853 PMCID: PMC7394146 DOI: 10.1136/openhrt-2020-001315
Source DB: PubMed Journal: Open Heart ISSN: 2053-3624
Figure 1Study schedule and drop-outs. The figure shows the 3-visit study schedule along with the distribution of dropouts. AMI, acute myocardial infarction; fMRI, functional magnetic resonance imaging; MVA, microvascular angina; TTS, Takotsubo syndrome.
Characteristics of the sample
| MVA | TTS | AMI | CHI2 | ||||
| General | |||||||
| Mean age | 68.8 | 71.1 | 65.8 | P=0.15 | |||
| Sex (female) | 15 | 93.8% | 16 | 94.1% | 14 | 82.4% | P=0.43 |
| Retired | 14 | 87.5% | 16 | 94.1% | 13 | 76.5% | P=0.326 |
| Right handed | 16 | 100.0% | 17 | 100.0% | 17 | 100.0% | NA |
| Time from TTS or AMI (months) | NA | 44.6±20.2 | 80.0±54.9 | NA | |||
| Angina CCS class (maximal) | NA | ||||||
| I | 0 | 0.0% | NA | 1 | 5.6% | ||
| II | 7 | 41.2% | 0 | 0.0% | |||
| III | 3 | 17.6% | 0 | 0.0% | |||
| IV | 7 | 41.2% | 0 | 0.0% | |||
| Angina during | NA | ||||||
| Emotional stress | 3 | 17.6% | NA | 0 | 0.0% | ||
| Environmental exposure | 2 | 11.8% | 0 | 0.0% | |||
| Angina frequency | NA | ||||||
| Daily | 2 | 11.8% | NA | 0 | 0.0% | ||
| <1/weekly | 10 | 58.8% | 1 | 5.6% | |||
| >1/weekly | 5 | 29.4% | 0 | 0.0% | |||
| NYHA class | NA | ||||||
| I | 13 | 76.5% | NA | 2 | 11.1% | ||
| II | 4 | 23.5% | 15 | 88.9% | |||
| LVEF (%) | NA | NA | 58.0±10.1 | NA | |||
| Classic cardiovascular risk factors | |||||||
| Hypertension | 10 | 62.5% | 8 | 47.10% | 14 | 82.4% | P=0.10 |
| Hyperlipidaemia | 9 | 56.3% | 15 | 88.2% | 16 | 94.1% | P=0.014* |
| Diabetes mellitus | 1 | 6.3% | 2 | 11.8% | 4 | 23.5% | P=0.34 |
| Active smoker | 1 | 6.3% | 2 | 11.8% | 2 | 11.8% | P=0.83 |
| Previous smoker | 5 | 31.3% | 5 | 29.4% | 8 | 47.1% | P=0.5 |
| Family history | 12 | 75.0% | 9 | 52.9% | 14 | 82.4% | P=0.15 |
| Psychiatric medical history | |||||||
| Known major depression | 0 | 0.0% | 1 | 5.9% | 2 | 11.8% | P=0.36 |
| Known anxiety disorder | 0 | 0.0% | 4 | 23.5% | 2 | 11.8% | P=0.11 |
| Known psychotic disorder | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | NA |
| Psychotropic medications | |||||||
| Antiepileptic | 0 | 0.0% | 0 | 0.00% | 0 | 0.0% | NA |
| Atypical neuroleptic | 1 | 6.3% | 1 | 5.90% | 0 | 0.0% | P=0.584 |
| Benzodiazepine | 6 | 37.5% | 7 | 41.2% | 5 | 29.4% | P=0.766 |
| Non-BDZ hypnotic | 1 | 6.3% | 1 | 5.9% | 1 | P=5.9% | P=0.999 |
| SNRI | 0 | 0.0% | 1 | 5.9% | 1 | 5.9% | P=0.613 |
| SSRI | 0 | 0.0% | 3 | 17.6% | 4 | 23.5% | P=0.13 |
| III generation neuroleptic | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | NA |
| Tricyclic antidepressant | 1 | 6.3% | 1 | 5.9% | 0 | 0.0% | P=0.584 |
| Typical neuroleptic | 0 | 0.0% | 0 | 0.0% | 1 | 5.9% | P=0.371 |
| 5-HT1A partial agonist | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | NA |
| IMAO | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | NA |
AMI, acute myocardial infarction; BDZ, benzodiazepine; CCS, Canadian cardiovascular society grading of angina; CHI2, CHI square test; 5-HT1A, serotonin 1A receptor; IMAO, monoamine oxidase inhibitors; LVEF, fractional left ventricular ejection fraction; MVA, microvascular angina; NA, not applicable; NYHA, New York Heart Association Functional Classification; SNRI, serotonin–norepinephrine reuptake inhibitors; SSRI, selective serotonin reuptake inhibitors; TTS, Takotsubo syndrome.
Figure 2Main analysis of resting state functional connectivity (FC) using functional MRI (fMRI). The resting state FC measured by fMRI did not differ among the groups. The box-plots show Pearson’s correlation coefficients as follows: (A) whole central autonomic nervous system network (CAN) mean FC. (B) Sympathetic network (sCAN) mean FC. (C) Parasympathetic network (pCAN) mean FC. (D) sCAN-pCAN between-networks mean FC. AMI, acute myocardial infarction; MVA, microvascular angina; TTS, Takotsubo syndrome.
Figure 3Exploratory analysis of resting state (RS) functional connectivity (FC) using functional MRI (fMRI). Plots and matrices represent colour-coded region of interest (ROI)-to-ROI pair FC of sympathetic-parasympathetic synchronisation. (A) The colour indicates the z-score between each pair of ROIs. As shown (*), the Takotsubo syndrome (TTS) group showed a stronger connectivity compared with acute myocardial infartion (AMI) group between the sCAN midcingulate cortex (sCAN-MCC) and the pCAN primary motor area (pCAN-PM) (p=0.022) and a borderline stronger connectivity compared with microvascular angina (MVA) group (p=0.050). A full list of the fMRI regions of interest based on Beissner et al11 is in the online supplementary material. (B) The figure shows the location of the two above-mentioned areas in the central nervous system (sCAN-MCC, pCAN-PM). a-Insula, anterior insula; CAN, central autonomic nervous; FDR, false discovery rate; L, left; MCC, midcingulate cortex; MVA, microvascular angina; MTG, medial temporal gyrus; pCAN, parasympathetic CAN; p-Insula, posterior insula; PM, primary motor area; R, right; sCAN, sympathetic CAN; SMG, supramarginal gyrus; sSSC, secondary somatosensory cortex; VMPFC, ventromedial prefrontal cortex.