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Wang H, Xu L, Dong L, Li Y, Liu H, Xiao G. Effect of heart rate on poor outcome in stroke patients treated with intra-arterial thrombectomy. BMC Neurol 2024; 24:164. [PMID: 38773425 PMCID: PMC11106893 DOI: 10.1186/s12883-024-03662-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 04/30/2024] [Indexed: 05/23/2024] Open
Abstract
BACKGROUND AND PURPOSE The relationship between heart rate and the prognosis of patients with large vessel occlusion strokes treated with mechanical thrombectomy (MT) is not well established. This study aimed to evaluate the association of mean heart rate and heart rate variability (HRV) with the clinical outcomes after MT therapy. METHODS Acute ischemic stroke patients undergoing MT therapy were prospectively recruited from March 2020 to November 2022. Their heart rate was collected every hour for the initial 72 h after MT procedure, and the variability of heart rate was measured by standard deviation (SD) and coefficient of variation (CV). All-cause mortality and worsening of functional outcome (change in modified Rankin Scale (mRS) score) at 3-month were captured. Binary logistic regression was used to evaluate the association between heart rate indicators and all-cause mortality. Ordinal logistic regression was used to evaluate the association between heart rate indicators and worsening of functional outcome. RESULTS Among 191 MT-treated patients, 51(26.7%) patients died at 3-month after stroke. Increased mean heart rate per 10-bpm, heart rate SD and CV per 5-unit were all associated with the increased risk of mortality (adjusted hazard ratio [aHR] with 95% CI: 1.29 [1.09-1.51], 1.19 [1.07-1.32], 1.14 [1.03-1.27]; respectively). Patients in the highest tertile of heart rate SD had an increased risk of mortality (4.62, 1.70-12.52). After using mRS as a continuous variable, we found increased mean heart rate per 10-bpm, heart rate SD and CV per 5-unit were associated with the worsening of functional outcome (adjusted odds ratio [aOR] with 95% CI: 1.35 [1.11-1.64], 1.27 [1.05-1.53], 1.19 [1.02-1.40]; respectively). A linear relationship was observed between mean heart rate or heart rate SD and mortality; while all of the heart rate measures in this study showed a linear relationship with the worsening of functional outcome. CONCLUSIONS Higher mean heart rate and HRV were associated with the increased risk of 3-month all-cause mortality and worse functional outcome after MT therapy for AIS patients.
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Affiliation(s)
- Huaishun Wang
- Second Affiliated Hospital of Soochow University, Suzhou, 215004, China
| | - Longdong Xu
- Second Affiliated Hospital of Soochow University, Suzhou, 215004, China
- fifth People's Hospital of Changshu, Suzhou, 215004, China
| | - Li Dong
- Second Affiliated Hospital of Soochow University, Suzhou, 215004, China
| | - Yingzi Li
- Second Affiliated Hospital of Soochow University, Suzhou, 215004, China
| | - Huihui Liu
- Second Affiliated Hospital of Soochow University, Suzhou, 215004, China.
| | - Guodong Xiao
- Second Affiliated Hospital of Soochow University, Suzhou, 215004, China.
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Mathur R, Meyfroidt G, Robba C, Stevens RD. Neuromonitoring in the ICU - what, how and why? Curr Opin Crit Care 2024; 30:99-105. [PMID: 38441121 DOI: 10.1097/mcc.0000000000001138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
PURPOSE OF REVIEW We selectively review emerging noninvasive neuromonitoring techniques and the evidence that supports their use in the ICU setting. The focus is on neuromonitoring research in patients with acute brain injury. RECENT FINDINGS Noninvasive intracranial pressure evaluation with optic nerve sheath diameter measurements, transcranial Doppler waveform analysis, or skull mechanical extensometer waveform recordings have potential safety and resource-intensity advantages when compared to standard invasive monitors, however each of these techniques has limitations. Quantitative electroencephalography can be applied for detection of cerebral ischemia and states of covert consciousness. Near-infrared spectroscopy may be leveraged for cerebral oxygenation and autoregulation computation. Automated quantitative pupillometry and heart rate variability analysis have been shown to have diagnostic and/or prognostic significance in selected subtypes of acute brain injury. Finally, artificial intelligence is likely to transform interpretation and deployment of neuromonitoring paradigms individually and when integrated in multimodal paradigms. SUMMARY The ability to detect brain dysfunction and injury in critically ill patients is being enriched thanks to remarkable advances in neuromonitoring data acquisition and analysis. Studies are needed to validate the accuracy and reliability of these new approaches, and their feasibility and implementation within existing intensive care workflows.
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Affiliation(s)
- Rohan Mathur
- Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Geert Meyfroidt
- Department of Intensive Care Medicine, University Hospitals Leuven, Belgium and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Belgium
| | - Chiara Robba
- IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Dipartimento di Scienze Chirurgiche e Diagnostiche Integrate, Università degli Studi di Genova, Genova, Italy
| | - Robert D Stevens
- Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD, USA
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3
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Bai X, Wang N, Si Y, Liu Y, Yin P, Xu C. The Clinical Characteristics of Heart Rate Variability After Stroke: A Systematic Review. Neurologist 2024; 29:133-141. [PMID: 38042172 DOI: 10.1097/nrl.0000000000000540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2023]
Abstract
The autonomic nervous system dysfunction has been reported in up to 76% of stroke patients 7 days after an acute stroke. Heart rate variability (HRV) is one of the important indicators reflecting the balance of sympathetic and parasympathetic nerves. Therefore, we performed a systematic literature review of existing literature on the association between heart rate variability and the different types of stroke. We included studies published in the last 32 years (1990 to 2022). The electronic databases MEDLINE and PubMed were searched. We selected the research that met the inclusion or exclusion criteria. A narrative synthesis was performed. This review aimed to summarize evidence regarding the potential mechanism of heart rate variability among patients after stroke. In addition, the association of clinical characteristics of heart rate variability and stroke has been depicted. The review further discussed the relationship between post-stroke infection and heart rate variability, which could assist in curbing clinical infection in patients with stroke. HRVas a noninvasive clinical monitoring tool can quantitatively assess the changes in autonomic nervous system activity and further predict the outcome of stroke. HRV could play an important role in guiding the clinical practice for autonomic nervous system disorder after stroke.
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Affiliation(s)
- Xue Bai
- Department of Cardiov ascular Surgery
| | - Na Wang
- Department of Cardiology, Daping Hospital, The Third Military Medical University
- Chongqing Institute of Cardiology & Chongqing Key Laboratory of Hypertension Research, Chongqing, China
| | - Yueqiao Si
- Department of Cardiology, Daping Hospital, The Third Military Medical University
- Chongqing Institute of Cardiology & Chongqing Key Laboratory of Hypertension Research, Chongqing, China
| | - Yunchang Liu
- Department of Cardiology, Daping Hospital, The Third Military Medical University
- Chongqing Institute of Cardiology & Chongqing Key Laboratory of Hypertension Research, Chongqing, China
| | - Ping Yin
- Department of Cardiology, Daping Hospital, The Third Military Medical University
- Chongqing Institute of Cardiology & Chongqing Key Laboratory of Hypertension Research, Chongqing, China
| | - Chunmei Xu
- Department of Cardiology, Daping Hospital, The Third Military Medical University
- Chongqing Institute of Cardiology & Chongqing Key Laboratory of Hypertension Research, Chongqing, China
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4
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Kang K, Shi K, Liu J, Li N, Wu J, Zhao X. Autonomic dysfunction and treatment strategies in intracerebral hemorrhage. CNS Neurosci Ther 2024; 30:e14544. [PMID: 38372446 PMCID: PMC10875714 DOI: 10.1111/cns.14544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 10/15/2023] [Accepted: 11/17/2023] [Indexed: 02/20/2024] Open
Abstract
AIMS Autonomic dysfunction with central autonomic network (CAN) damage occurs frequently after intracerebral hemorrhage (ICH) and contributes to a series of adverse outcomes. This review aims to provide insight and convenience for future clinical practice and research on autonomic dysfunction in ICH patients. DISCUSSION We summarize the autonomic dysfunction in ICH from the aspects of potential mechanisms, clinical significance, assessment, and treatment strategies. The CAN structures mainly include insular cortex, anterior cingulate cortex, amygdala, hypothalamus, nucleus of the solitary tract, ventrolateral medulla, dorsal motor nucleus of the vagus, nucleus ambiguus, parabrachial nucleus, and periaqueductal gray. Autonomic dysfunction after ICH is closely associated with neurological functional outcomes, cardiac complications, blood pressure fluctuation, immunosuppression and infection, thermoregulatory dysfunction, hyperglycemia, digestive dysfunction, and urogenital disturbances. Heart rate variability, baroreflex sensitivity, skin sympathetic nerve activity, sympathetic skin response, and plasma catecholamine concentration can be used to assess the autonomic functional activities after ICH. Risk stratification of patients according to autonomic functional activities, and development of intervention approaches based on the restoration of sympathetic-parasympathetic balance, would potentially improve clinical outcomes in ICH patients. CONCLUSION The review systematically summarizes the evidence of autonomic dysfunction and its association with clinical outcomes in ICH patients, proposing that targeting autonomic dysfunction could be potentially investigated to improve the clinical outcomes.
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Affiliation(s)
- Kaijiang Kang
- Department of NeurologyBeijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of StrokeBeijing Institute for Brain DisordersBeijingChina
| | - Kaibin Shi
- Department of NeurologyBeijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of StrokeBeijing Institute for Brain DisordersBeijingChina
| | - Jiexin Liu
- Department of NeurologyBeijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of StrokeBeijing Institute for Brain DisordersBeijingChina
| | - Na Li
- Department of NeurologyBeijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of StrokeBeijing Institute for Brain DisordersBeijingChina
| | - Jianwei Wu
- Department of NeurologyBeijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of StrokeBeijing Institute for Brain DisordersBeijingChina
| | - Xingquan Zhao
- Department of NeurologyBeijing Tiantan HospitalCapital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of StrokeBeijing Institute for Brain DisordersBeijingChina
- Research Unit of Artificial Intelligence in Cerebrovascular DiseaseChinese Academy of Medical SciencesBeijingChina
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Gu L, Hu H, Wu S, Li F, Li Z, Xiao Y, Li C, Zhang H, Wang Q, Li W, Fan Y. Machine learning predictors of risk of death within 7 days in patients with non-traumatic subarachnoid hemorrhage in the intensive care unit: A multicenter retrospective study. Heliyon 2024; 10:e23943. [PMID: 38192749 PMCID: PMC10772257 DOI: 10.1016/j.heliyon.2023.e23943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 11/04/2023] [Accepted: 12/15/2023] [Indexed: 01/10/2024] Open
Abstract
Non-traumatic subarachnoid hemorrhage (SAH) is a critical neurosurgical emergency with a high mortality rate, imposing a significant burden on both society and families. Accurate prediction of the risk of death within 7 days in SAH patients can provide valuable information for clinicians, enabling them to make better-informed medical decisions. In this study, we developed six machine learning models using the MIMIC III database and data collected at our institution. These models include Logistic Regression (LR), AdaBoosting (AB), Multilayer Perceptron (MLP), Bagging (BAG), Gradient Boosting Machines (GBM), and Extreme Gradient Boosting (XGB). The primary objective was to identify predictors of death within 7 days in SAH patients admitted to intensive care units. We employed univariate and multivariate logistic regression as well as Pearson correlation analysis to screen the clinical variables of the patients. The initially screened variables were then incorporated into the machine learning models, and the performance of these models was evaluated. Furthermore, we compared the performance differences among the six models and found that the MLP model exhibited the highest performance with an AUC of 0.913. In this study, we conducted risk factor analysis using Shapley values to identify the factors associated with death within 7 days in patients with SAH. The risk factors we identified include Gcsmotor, bicarbonate, wbc, spo2, heartrate, age, nely, glucose, aniongap, GCS, rbc, sysbp, sodium, and gcseys. To provide clinicians with a useful tool for assessing the risk of death within 7 days in SAH patients, we developed a web calculator based on the MLP machine learning model.
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Affiliation(s)
- Longyuan Gu
- Department of Neurosurgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Hongwei Hu
- Department of Neurosurgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Shinan Wu
- Xiamen University affiliated Xiamen Eye Center; Fujian Provincial Key Laboratory of Ophthalmology and Visual Science; Fujian Engineering and Research Center of Eye Regenerative Medicine; Eye Institute of Xiamen University; School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Fengda Li
- Department of Neurosurgery, Changshu Hospital Affiliated to Soochow University, Changshu, China
| | - Zeyi Li
- School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China
| | - Yaodong Xiao
- Department of Neurosurgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Chuanqing Li
- Department of Neurosurgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Hui Zhang
- Department of Neurosurgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Qiang Wang
- Department of Neurosurgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Wenle Li
- The State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen, China
| | - Yuechao Fan
- Department of Neurosurgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
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Xing Y, Cheng H, Yang C, Xiao Z, Yan C, Chen F, Li J, Zhang Y, Cui C, Li J, Liu C. Evaluation of skin sympathetic nervous activity for classification of intracerebral hemorrhage and outcome prediction. Comput Biol Med 2023; 166:107397. [PMID: 37804780 DOI: 10.1016/j.compbiomed.2023.107397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 08/02/2023] [Accepted: 08/26/2023] [Indexed: 10/09/2023]
Abstract
Classification and outcome prediction of intracerebral hemorrhage (ICH) is critical for improving the survival rate of patients. Early or delayed neurological deterioration is common in ICH patients, which may lead to changes in the autonomic nervous system (ANS). Therefore, we proposed a new framework for ICH classification and outcome prediction based on skin sympathetic nervous activity (SKNA) signals. A customized measurement device presented in our previous papers was used to collect data. 117 subjects (50 healthy control subjects and 67 ICH patients) were recruited for this study to obtain their 5-min electrocardiogram (ECG) and SKNA signals. We extracted the signal's time-domain, frequency-domain, and nonlinear features and analyzed their differences between healthy control subjects and ICH patients. Subsequently, we established the ICH classification and outcome evaluation model based on the eXtreme Gradient Boosting (XGBoost). In addition, heart rate variability (HRV) as an ANS assessment method was also included as a comparison method in this study. The results showed significant differences in most features of the SKNA signal between healthy control subjects and ICH patients. The ICH patients with good outcomes have a higher change rate and complexity of SKNA signal than those with bad outcomes. In addition, the accuracy of the model for ICH classification and outcome prediction based on the SKNA signal was more than 91% and 83%, respectively. The ICH classification and outcome prediction based on the SKNA signal proved to be a feasible method in this study. Furthermore, the features of change rate and complexity, such as entropy measures, can be used to characterize the difference in SKNA signals of different groups. The method can potentially provide a new tool for rapid classification and outcome prediction of ICH patients. Index Terms-intracerebral hemorrhage (ICH), skin sympathetic nervous activity (SKNA), classification, outcome prediction, cardiovascular and cerebrovascular diseases.
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Affiliation(s)
- Yantao Xing
- State Key Laboratory of Bioelectronics, School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China
| | - Hongyi Cheng
- Division of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210096, China
| | - Chenxi Yang
- State Key Laboratory of Bioelectronics, School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China
| | - Zhijun Xiao
- State Key Laboratory of Bioelectronics, School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China
| | - Chang Yan
- State Key Laboratory of Bioelectronics, School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China
| | - FeiFei Chen
- State Key Laboratory of Bioelectronics, School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China
| | - Jiayi Li
- State Key Laboratory of Bioelectronics, School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China
| | - Yike Zhang
- Division of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210096, China
| | - Chang Cui
- Division of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210096, China
| | - Jianqing Li
- State Key Laboratory of Bioelectronics, School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China.
| | - Chengyu Liu
- State Key Laboratory of Bioelectronics, School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China.
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Marino L, Badenes R, Bilotta F. Heart Rate Variability for Outcome Prediction in Intracerebral and Subarachnoid Hemorrhage: A Systematic Review. J Clin Med 2023; 12:4355. [PMID: 37445389 DOI: 10.3390/jcm12134355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 06/21/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023] Open
Abstract
This systematic review presents clinical evidence on the association of heart rate variability with outcome prediction in intracerebral and subarachnoid hemorrhages. The literature search led to the retrieval of 19 significant studies. Outcome prediction included functional outcome, cardiovascular complications, secondary brain injury, and mortality. Various aspects of heart rate recording and analysis, based on linear time and frequency domains and a non-linear entropy approach, are reviewed. Heart rate variability was consistently associated with poor functional outcome and mortality, while controversial results were found regarding the association between heart rate variability and secondary brain injury and cardiovascular complications.
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Affiliation(s)
- Luca Marino
- Department of Mechanical and Aerospace Engineering, "Sapienza" University of Rome, 00184 Rome, Italy
| | - Rafael Badenes
- Department of Anesthesiology and Surgical-Trauma Intensive Care, Hospital Clínic Universitari de Vacia, University of Valencia, 46010 Valencia, Spain
| | - Federico Bilotta
- Department of Anesthesiology, Critical Care and Pain Medicine, Policlinico Umberto I, "Sapienza" University of Rome, 00185 Rome, Italy
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Orgianelis I, Merkouris E, Kitmeridou S, Tsiptsios D, Karatzetzou S, Sousanidou A, Gkantzios A, Christidi F, Polatidou E, Beliani A, Tsiakiri A, Kokkotis C, Iliopoulos S, Anagnostopoulos K, Aggelousis N, Vadikolias K. Exploring the Utility of Autonomic Nervous System Evaluation for Stroke Prognosis. Neurol Int 2023; 15:661-696. [PMID: 37218981 DOI: 10.3390/neurolint15020042] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 05/09/2023] [Accepted: 05/15/2023] [Indexed: 05/24/2023] Open
Abstract
Stroke is a major cause of functional disability and is increasing in frequency. Therefore, stroke prognosis must be both accurate and timely. Among other biomarkers, heart rate variability (HRV) is investigated in terms of prognostic accuracy within stroke patients. The literature research of two databases (MEDLINE and Scopus) is performed to trace all relevant studies published within the last decade addressing the potential utility of HRV for stroke prognosis. Only the full-text articles published in English are included. In total, forty-five articles have been traced and are included in the present review. The prognostic value of biomarkers of autonomic dysfunction (AD) in terms of mortality, neurological deterioration, and functional outcome appears to be within the range of known clinical variables, highlighting their utility as prognostic tools. Moreover, they may provide additional information regarding poststroke infections, depression, and cardiac adverse events. AD biomarkers have demonstrated their utility not only in the setting of acute ischemic stroke but also in transient ischemic attack, intracerebral hemorrhage, and traumatic brain injury, thus representing a promising prognostic tool whose clinical application may greatly facilitate individualized stroke care.
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Affiliation(s)
- Ilias Orgianelis
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Ermis Merkouris
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Sofia Kitmeridou
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Dimitrios Tsiptsios
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Stella Karatzetzou
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Anastasia Sousanidou
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Aimilios Gkantzios
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Foteini Christidi
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Efthymia Polatidou
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Anastasia Beliani
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Anna Tsiakiri
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Christos Kokkotis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece
| | - Stylianos Iliopoulos
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece
| | | | - Nikolaos Aggelousis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece
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9
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Aftyka J, Staszewski J, Dębiec A, Pogoda-Wesołowska A, Żebrowski J. Heart rate variability as a predictor of stroke course, functional outcome, and medical complications: A systematic review. Front Physiol 2023; 14:1115164. [PMID: 36846317 PMCID: PMC9947292 DOI: 10.3389/fphys.2023.1115164] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Accepted: 01/30/2023] [Indexed: 02/11/2023] Open
Abstract
Background: Heart rate variability (HRV) is a non-invasive marker of autonomic nervous system function that is based on the analysis of length differences between subsequent RR intervals of the electrocardiogram. The aim of this systematic review was to assess the current knowledge gap in the utility of HRV parameters and their value as predictors of the acute stroke course. Methods: A systematic review was performed in accordance with the PRISMA guidelines. Relevant articles published between 1 January 2016 and 1 November 2022 available in the PubMed, Web of Science, Scopus, and Cochrane Library databases were obtained using a systematic search strategy. The following keywords were used to screen the publications: "heart rate variability" AND/OR "HRV" AND "stroke." The eligibility criteria that clearly identified and described outcomes and outlined restrictions on HRV measurement were pre-established by the authors. Articles assessing the relationship between HRV measured in the acute phase of stroke and at least one stroke outcome were considered. The observation period did not exceed 12 months. Studies that included patients with medical conditions influencing HRV with no established stroke etiology and non-human subjects were excluded from the analysis. To minimize the risk of bias, disagreements throughout the search and analysis were resolved by two independent supervisors. Results: Of the 1,305 records obtained from the systematic search based on keywords, 36 were included in the final review. These publications provided insight into the usability of linear and non-linear HRV analysis in predicting the course, complications, and mortality of stroke. Furthermore, some modern techniques, such as HRV biofeedback, for the improvement of cognition performance after a stroke are discussed. Discussion: The present study showed that HRV could be considered a promising biomarker of a stroke outcome and its complications. However, further research is needed to establish a methodology for appropriate quantification and interpretation of HRV-derived parameters.
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Affiliation(s)
- Joanna Aftyka
- Faculty of Physics, Warsaw University of Technology, Warsaw, Poland,*Correspondence: Joanna Aftyka,
| | - Jacek Staszewski
- Clinic of Neurology, Military Institute of Medicine, Warsaw, Poland
| | | | | | - Jan Żebrowski
- Faculty of Physics, Warsaw University of Technology, Warsaw, Poland
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10
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Liu L, Wang A, Wang D, Guo J, Zhang X, Zhao X, Wang W. Systemic Inflammatory Response Syndrome on Admission and Clinical Outcomes After Intracerebral Hemorrhage. J Inflamm Res 2023; 16:917-926. [PMID: 36891171 PMCID: PMC9987451 DOI: 10.2147/jir.s394635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 02/18/2023] [Indexed: 03/05/2023] Open
Abstract
Background Since studies on systemic inflammatory response syndrome (SIRS) in patients with acute intracerebral hemorrhage (ICH) are insufficient. This study investigated the associations between SIRS on admission and clinical outcomes after acute ICH. Patients and Methods The study included 1159 patients with acute spontaneous ICH from January 2014 to September 2016. In accordance with standard criteria, SIRS was defined as two or more of the following: (1) body temperature >38°C or <36°C, (2) respiratory rate >20 per minute, (3) heart rate >90 per minute, and (4) white blood cell count >12,000/μL or <4000/μL. The clinical outcomes of interest were death and major disability (defined as a modified Rankin Scale of 6 and 3-5), combined and separate at 1 month, 3 months and 1 year follow-up. Results SIRS was observed in 13.5% (157/1159) of patients and independently increased the risk of death at 1 month, 3 months, or 1 year: hazard ratio (HR) 2.532 (95% confidence interval [CI] 1.487-4.311), HR 2.436 (95% CI 1.499-3.958), HR 2.030 (95% CI 1.343-3.068), respectively (P<0.05 for all). The relationship between SIRS and ICH mortality was more pronounced in older patients or patients with larger hematoma volumes. Patients with in-hospital infections were at greater risk of major disability. The risk was enhanced when SIRS was incorporated. Conclusion The presence of SIRS at the time of admission was associated with mortality in patients with acute ICH, particularly in older patients and those with large hematomas. SIRS may exacerbate the disability caused by in-hospital infections in patients with ICH.
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Affiliation(s)
- Lijun Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
| | - Dandan Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
| | - Jiahuan Guo
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
| | - Xiaoli Zhang
- China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - Wenjuan Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
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Yao SL, Chen XW, Liu J, Chen XR, Zhou Y. Effect of mean heart rate on 30-day mortality in ischemic stroke with atrial fibrillation: Data from the MIMIC-IV database. Front Neurol 2022; 13:1017849. [DOI: 10.3389/fneur.2022.1017849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 10/10/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundThe relationship of mean heart rate (MHR) with 30-day mortality in ischemic stroke patients with atrial fibrillation in the intensive care unit (ICU) remains unknown. This study aimed to investigate the association between MHR within 24 h of admission to the ICU and 30-day mortality among patients with atrial fibrillation and ischemic stroke.MethodsThis retrospective cohort study used data on US adults from the Medical Information Mart for Intensive Care-IV (MIMIC-IV, version 1.0) database. Patients with ischemic stroke who had atrial fibrillation for and first time in ICU admission were identified from the MIMIC-IV database. We used multivariable Cox regression models, a restricted cubic spline model, and a two-piecewise Cox regression model to show the effect of the MHR within 24 h of ICU admission on 30-day mortality.ResultsA total of 1403 patients with ischemic stroke and atrial fibrillation (mean [SD] age, 75.9 [11.4] years; mean [SD] heart rate, 83.8[16.1] bpm; 743 [53.0%] females) were included. A total of 212 (15.1%) patients died within 30 days after ICU admission. When MHR was assessed in tertials according to the 25th and 50th percentiles, the risk of 30-day mortality was higher in participants in group 1 (< 72 bpm; adjusted hazard ratio, 1.23; 95% CI, 0.79–1.91) and group 3 (≥82 bpm; adjusted hazard ratio, 1.77; 95% CI, 1.23–2.57) compared with those in group 2 (72–82 bpm). Consistently in the threshold analysis, for every 1-bpm increase in MHR, there was a 2.4% increase in 30-day mortality (adjusted HR, 1.024; 95% CI, 1.01–1.039) in those with MHR above 80 bpm. Based on these results, there was a J-shaped association between MHR and 30-day mortality in ischemic stroke patients with atrial fibrillation admitted to the ICU, with an inflection point at 80 bpm of MHR.ConclusionIn this retrospective cohort study, MHR within 24 h of admission was associated with 30-day mortality (nonlinear, J-shaped association) in patients with ischemic stroke and atrial fibrillation in the ICU, with an inflection point at about 80 bpm and a minimal risk observed at 72 to 81 bpm of MHR. This association was worthy of further investigation. If further confirmed, this association may provide a theoretical basis for formulating the target strategy of heart rate therapy for these patients.
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Controlling blood pressure soon after intracerebral hemorrhage: The SAMURAI-ICH Study and its successors. Hypertens Res 2022; 45:583-590. [PMID: 35260801 PMCID: PMC8923997 DOI: 10.1038/s41440-022-00866-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 01/11/2022] [Indexed: 12/02/2022]
Abstract
The impact of acute therapy for intracerebral hemorrhage (ICH) lags far behind that for acute ischemic stroke. Intensive blood pressure lowering is a promising therapeutic strategy for acute ICH, especially for East Asian patients whose etiological mechanism is more commonly hypertension than that of patients in the Western population. A multicenter, prospective, observational study named the Stroke Acute Management with Urgent Risk-factor Assessment and Improvement-IntraCerebral Hemorrhage (SAMURAI-ICH) study, involving 211 patients from ten Japanese stroke centers, was performed to elucidate the safety and feasibility of blood pressure lowering to 160 mmHg or less in acute ICH patients using intravenous nicardipine. When we started the study, intravenous nicardipine was not officially approved for hyperacute ICH patients in Japan. The SAMURAI-ICH study was also a pilot study to judge the feasibility of participation by many Japanese investigators in an international, randomized, controlled trial named the Antihypertensive Treatment of Acute Cerebral Hemorrhage (ATACH)−2 trial. The SAMURAI-ICH study, ATACH-2 trial, and their combined individual participant data meta-analysis produced several new interesting findings on how to control blood pressure levels in acute ICH patients. Some of the findings are introduced in the present review article. ![]()
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