Arnaud Tessier1, Igor Sibon2, Mathilde Poli3, Michel Audiffren4, Michèle Allard5, Micha Pfeuty6. 1. Département de psychiatrie adulte, Centre Hospitalier Charles Perrens, CS81285, 33076 Bordeaux Cedex, France; Université de Bordeaux, INCIA, CNRS UMR 5287, F-33000 Bordeaux, France. 2. Université de Bordeaux, INCIA, CNRS UMR 5287, F-33000 Bordeaux, France; CHU Bordeaux, Neurologie, Unité Neurovasculaire, Bordeaux, France. 3. CHU Bordeaux, Neurologie, Unité Neurovasculaire, Bordeaux, France. 4. Université de Poitiers, CERCA, CNRS UMR 7295, F-86000 Poitiers, France. 5. Université de Bordeaux, INCIA, CNRS UMR 5287, F-33000 Bordeaux, France; EPHE, Bordeaux, France; CHU Bordeaux, Médecine Nucléaire, Bordeaux, France. 6. Université de Bordeaux, INCIA, CNRS UMR 5287, F-33000 Bordeaux, France. Electronic address: micha.pfeuty@u-bordeaux.fr.
Abstract
BACKGROUND: Early detection of poststroke depression (PSD) and cognitive impairment (PSCI) remains challenging. It is well documented that the function of autonomic nervous system is associated with depression and cognition. However, their relationship has never been investigated in the early poststroke phase. This pilot study aimed at determining whether resting heart rate (HR) parameters measured in early poststroke phase (1) are associated with early-phase measures of depression and cognition and (2) could be used as new tools for early objective prediction of PSD or PSCI, which could be applicable to patients unable to answer usual questionnaires. METHODS: Fifty-four patients with first-ever ischemic stroke, without cardiac arrhythmia, were assessed for resting HR and heart rate variability (HRV) within the first week after stroke and for depression and cognition during the first week and at 3 months after stroke. RESULTS: Multiple regression analyses controlled for age, gender, and stroke severity revealed that higher HR, lower HRV, and higher sympathovagal balance (low-frequency/high-frequency ratio of HRV) were associated with higher severity of depressive symptoms within the first week after stroke. Furthermore, higher sympathovagal balance in early phase predicted higher severity of depressive symptoms at the 3-month follow-up, whereas higher HR and lower HRV in early phase predicted lower global cognitive functioning at the 3-month follow-up. CONCLUSIONS: Resting HR measurements obtained in early poststroke phase could serve as an objective tool, applicable to patients unable to complete questionnaires, to help in the early prediction of PSD and PSCI.
BACKGROUND: Early detection of poststroke depression (PSD) and cognitive impairment (PSCI) remains challenging. It is well documented that the function of autonomic nervous system is associated with depression and cognition. However, their relationship has never been investigated in the early poststroke phase. This pilot study aimed at determining whether resting heart rate (HR) parameters measured in early poststroke phase (1) are associated with early-phase measures of depression and cognition and (2) could be used as new tools for early objective prediction of PSD or PSCI, which could be applicable to patients unable to answer usual questionnaires. METHODS: Fifty-four patients with first-ever ischemic stroke, without cardiac arrhythmia, were assessed for resting HR and heart rate variability (HRV) within the first week after stroke and for depression and cognition during the first week and at 3 months after stroke. RESULTS: Multiple regression analyses controlled for age, gender, and stroke severity revealed that higher HR, lower HRV, and higher sympathovagal balance (low-frequency/high-frequency ratio of HRV) were associated with higher severity of depressive symptoms within the first week after stroke. Furthermore, higher sympathovagal balance in early phase predicted higher severity of depressive symptoms at the 3-month follow-up, whereas higher HR and lower HRV in early phase predicted lower global cognitive functioning at the 3-month follow-up. CONCLUSIONS: Resting HR measurements obtained in early poststroke phase could serve as an objective tool, applicable to patients unable to complete questionnaires, to help in the early prediction of PSD and PSCI.
Authors: Yejin Lee; Ryan J Walsh; Mandy W M Fong; Marek Sykora; Michelle M Doering; Alex W K Wong Journal: Neurosci Biobehav Rev Date: 2021-10-06 Impact factor: 8.989
Authors: Tamas Oroszi; Klaske Oberman; Csaba Nyakas; Barbara van Leeuwen; Eddy A van der Zee; Sietse F de Boer; Regien G Schoemaker Journal: Brain Behav Immun Health Date: 2022-09-24