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Alabi F, Chukwuocha I, Nwazor E, Onyenokwe V. Evaluating Serum Copeptin as a Promising Biomarker for Predicting Acute Ischaemic Stroke Severity: A Hospital-Based Study on Strokes. Cureus 2024; 16:e63700. [PMID: 38957516 PMCID: PMC11219093 DOI: 10.7759/cureus.63700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/29/2024] [Indexed: 07/04/2024] Open
Abstract
BACKGROUND Stroke is the second cause of mortality and the foremost leading cause of disability globally. Many potential biomarkers have been described to contribute to prognosticating the severity in the acute phase of stroke as well as help with risk stratification. Copeptin, an inactive peptide that is produced in an equimolar ratio to arginine vasopressin and adequately mirrors an individual's stress response to acute illnesses like acute ischaemic stroke as evidenced by elevated or increasing levels is being explored in this study to determine its relationship with acute stroke severity and infarct size on admission. METHODS This is a cross-sectional study of 80 neuroimaging-confirmed acute ischaemic patients who presented within seven days of symptom onset and 80 control subjects. The ischaemic stroke cases had stroke severity and infarct volume determined on admission by the National Institute of Health Stroke Scale (NIHSS) and neuroimaging (brain CT/MRI). A baseline serum copeptin level was measured in the study subjects. Spearman correlation and Kruskal Wallis test were used to determine the relationship between serum copeptin level with admission NIHSS and infarct size respectively. The receiver operating characteristic (ROC) curve was calculated to determine the sensitivity and specificity of copeptin to predict severity and outcome. RESULTS The mean age of the study group was 61.3 ± 12.7 years with 55.0% males and 45.0% females. The serum level of copeptin was significantly higher in the stroke cases with a median of 28.6 pmol/L (interquartile range (IQR)- 15.4-31.6 pmol/L) versus 8.8 pmol/L (IQR- 3.2- 10.7 pmol/L) among the stroke-free controls (p= 0.001) at a statistically significant level. There was a weak correlation between copeptin and NIHSS calculated at admission to measure stroke severity (r- 0.02, p= 0.873). Patients with infarct sizes in the fourth quartile (infarct sizes greater than 18.78 cm3) had higher copeptin levels, though this was not statistically significant (H= 2.88; p= 0.410). Admission serum copeptin did not show a statistically significant prognostic value in predicting stroke severity and mortality in stroke patients who presented within seven days of symptom onset with an area under curve (AUC) of 0.51 (95% CI: 0.36-0.65; p= 0.982). CONCLUSION In this study, copeptin was higher among the stroke cases compared with the stroke-free controls which suggests a significant prognostic value in risk stratification in the acute phase of stroke; however, this did not significantly correlate with stroke severity and thus warrants further study in this field to elucidate it's fascinating potential as a prognostic biomarker (especially in the acute period) as this may enable allocation of a better-focused therapy for stroke patients.
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Affiliation(s)
- Feyisayo Alabi
- Internal Medicine, University of Port Harcourt Teaching Hospital, Port Harcourt, NGA
| | | | - Ernest Nwazor
- Neurology, Rivers State University Teaching Hospital, Rivers State, NGA
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Christidi F, Orgianelis I, Merkouris E, Koutsokostas C, Tsiptsios D, Karavasilis E, Psatha EA, Tsiakiri A, Serdari A, Aggelousis N, Vadikolias K. A Comprehensive Review on the Role of Resting-State Functional Magnetic Resonance Imaging in Predicting Post-Stroke Motor and Sensory Outcomes. Neurol Int 2024; 16:189-201. [PMID: 38392953 PMCID: PMC10892788 DOI: 10.3390/neurolint16010012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 01/05/2024] [Accepted: 01/12/2024] [Indexed: 02/25/2024] Open
Abstract
Stroke is a major leading cause of chronic disability, often affecting patients' motor and sensory functions. Functional magnetic resonance imaging (fMRI) is the most commonly used method of functional neuroimaging, and it allows for the non-invasive study of brain activity. The time-dependent coactivation of different brain regions at rest is described as resting-state activation. As a non-invasive task-independent functional neuroimaging approach, resting-state fMRI (rs-fMRI) may provide therapeutically useful information on both the focal vascular lesion and the connectivity-based reorganization and subsequent functional recovery in stroke patients. Considering the role of a prompt and accurate prognosis in stroke survivors along with the potential of rs-fMRI in identifying patterns of neuroplasticity in different post-stroke phases, this review provides a comprehensive overview of the latest literature regarding the role of rs-fMRI in stroke prognosis in terms of motor and sensory outcomes. Our comprehensive review suggests that with the advancement of MRI acquisition and data analysis methods, rs-fMRI emerges as a promising tool to study the motor and sensory outcomes in stroke patients and evaluate the effects of different interventions.
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Affiliation(s)
- Foteini Christidi
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (F.C.); (I.O.); (E.M.); (C.K.); (A.T.); (K.V.)
| | - Ilias Orgianelis
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (F.C.); (I.O.); (E.M.); (C.K.); (A.T.); (K.V.)
| | - Ermis Merkouris
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (F.C.); (I.O.); (E.M.); (C.K.); (A.T.); (K.V.)
| | - Christos Koutsokostas
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (F.C.); (I.O.); (E.M.); (C.K.); (A.T.); (K.V.)
| | - Dimitrios Tsiptsios
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (F.C.); (I.O.); (E.M.); (C.K.); (A.T.); (K.V.)
| | - Efstratios Karavasilis
- Department of Radiology, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (E.K.); (E.A.P.)
| | - Evlampia A. Psatha
- Department of Radiology, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (E.K.); (E.A.P.)
| | - Anna Tsiakiri
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (F.C.); (I.O.); (E.M.); (C.K.); (A.T.); (K.V.)
| | - Aspasia Serdari
- Department of Child and Adolescent Psychiatry, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece;
| | - Nikolaos Aggelousis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece;
| | - Konstantinos Vadikolias
- Neurology Department, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (F.C.); (I.O.); (E.M.); (C.K.); (A.T.); (K.V.)
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Dimaras T, Merkouris E, Tsiptsios D, Christidi F, Sousanidou A, Orgianelis I, Polatidou E, Kamenidis I, Karatzetzou S, Gkantzios A, Ntatsis C, Kokkotis C, Retsidou S, Aristidou M, Karageorgopoulou M, Psatha EA, Aggelousis N, Vadikolias K. Leukoaraiosis as a Promising Biomarker of Stroke Recurrence among Stroke Survivors: A Systematic Review. Neurol Int 2023; 15:994-1013. [PMID: 37606397 PMCID: PMC10443317 DOI: 10.3390/neurolint15030064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 08/11/2023] [Accepted: 08/18/2023] [Indexed: 08/23/2023] Open
Abstract
Stroke is the leading cause of functional disability worldwide, with increasing prevalence in adults. Given the considerable negative impact on patients' quality of life and the financial burden on their families and society, it is essential to provide stroke survivors with a timely and reliable prognosis of stroke recurrence. Leukoaraiosis (LA) is a common neuroimaging feature of cerebral small-vessel disease. By researching the literature of two different databases (MEDLINE and Scopus), the present study aims to review all relevant studies from the last decade, dealing with the clinical utility of pre-existing LA as a prognostic factor for stroke recurrence in stroke survivors. Nineteen full-text articles published in English were identified and included in the present review, with data collected from a total of 34,546 stroke patients. A higher rate of extended LA was strongly associated with stroke recurrence in all stroke subtypes, even after adjustment for clinical risk factors. In particular, patients with ischemic stroke or transient ischemic attack with advanced LA had a significantly higher risk of future ischemic stroke, whereas patients with previous intracerebral hemorrhage and severe LA had a more than 2.5-fold increased risk of recurrent ischemic stroke and a more than 30-fold increased risk of hemorrhagic stroke. Finally, in patients receiving anticoagulant treatment for AF, the presence of LA was associated with an increased risk of recurrent ischemic stroke and intracranial hemorrhage. Because of this valuable predictive information, evaluating LA could significantly expand our knowledge of stroke patients and thereby improve overall stroke care.
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Affiliation(s)
- Theofanis Dimaras
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (T.D.); (E.M.); (F.C.); (A.S.); (E.P.); (I.K.); (S.K.); (A.G.); (C.N.); (S.R.); (E.A.P.); (K.V.)
| | - Ermis Merkouris
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (T.D.); (E.M.); (F.C.); (A.S.); (E.P.); (I.K.); (S.K.); (A.G.); (C.N.); (S.R.); (E.A.P.); (K.V.)
| | - Dimitrios Tsiptsios
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (T.D.); (E.M.); (F.C.); (A.S.); (E.P.); (I.K.); (S.K.); (A.G.); (C.N.); (S.R.); (E.A.P.); (K.V.)
| | - Foteini Christidi
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (T.D.); (E.M.); (F.C.); (A.S.); (E.P.); (I.K.); (S.K.); (A.G.); (C.N.); (S.R.); (E.A.P.); (K.V.)
| | - Anastasia Sousanidou
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (T.D.); (E.M.); (F.C.); (A.S.); (E.P.); (I.K.); (S.K.); (A.G.); (C.N.); (S.R.); (E.A.P.); (K.V.)
| | - Ilias Orgianelis
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (T.D.); (E.M.); (F.C.); (A.S.); (E.P.); (I.K.); (S.K.); (A.G.); (C.N.); (S.R.); (E.A.P.); (K.V.)
| | - Efthymia Polatidou
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (T.D.); (E.M.); (F.C.); (A.S.); (E.P.); (I.K.); (S.K.); (A.G.); (C.N.); (S.R.); (E.A.P.); (K.V.)
| | - Iordanis Kamenidis
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (T.D.); (E.M.); (F.C.); (A.S.); (E.P.); (I.K.); (S.K.); (A.G.); (C.N.); (S.R.); (E.A.P.); (K.V.)
| | - Stella Karatzetzou
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (T.D.); (E.M.); (F.C.); (A.S.); (E.P.); (I.K.); (S.K.); (A.G.); (C.N.); (S.R.); (E.A.P.); (K.V.)
| | - Aimilios Gkantzios
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (T.D.); (E.M.); (F.C.); (A.S.); (E.P.); (I.K.); (S.K.); (A.G.); (C.N.); (S.R.); (E.A.P.); (K.V.)
| | - Christos Ntatsis
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (T.D.); (E.M.); (F.C.); (A.S.); (E.P.); (I.K.); (S.K.); (A.G.); (C.N.); (S.R.); (E.A.P.); (K.V.)
| | - Christos Kokkotis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece; (C.K.); (M.A.); (M.K.); (N.A.)
| | - Sofia Retsidou
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (T.D.); (E.M.); (F.C.); (A.S.); (E.P.); (I.K.); (S.K.); (A.G.); (C.N.); (S.R.); (E.A.P.); (K.V.)
| | - Maria Aristidou
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece; (C.K.); (M.A.); (M.K.); (N.A.)
| | - Maria Karageorgopoulou
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece; (C.K.); (M.A.); (M.K.); (N.A.)
| | - Evlampia A. Psatha
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (T.D.); (E.M.); (F.C.); (A.S.); (E.P.); (I.K.); (S.K.); (A.G.); (C.N.); (S.R.); (E.A.P.); (K.V.)
| | - Nikolaos Aggelousis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece; (C.K.); (M.A.); (M.K.); (N.A.)
| | - Konstantinos Vadikolias
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (T.D.); (E.M.); (F.C.); (A.S.); (E.P.); (I.K.); (S.K.); (A.G.); (C.N.); (S.R.); (E.A.P.); (K.V.)
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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: 2] [Impact Index Per Article: 2.0] [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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Tziaka E, Christidi F, Tsiptsios D, Sousanidou A, Karatzetzou S, Tsiakiri A, Doskas TK, Tsamakis K, Retzepis N, Konstantinidis C, Kokkotis C, Serdari A, Aggelousis N, Vadikolias K. Leukoaraiosis as a Predictor of Depression and Cognitive Impairment among Stroke Survivors: A Systematic Review. Neurol Int 2023; 15:238-272. [PMID: 36810471 PMCID: PMC9944578 DOI: 10.3390/neurolint15010016] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 02/02/2023] [Accepted: 02/06/2023] [Indexed: 02/15/2023] Open
Abstract
Stroke survivors are at increased risk of developing depression and cognitive decline. Thus, it is crucial for both clinicians and stroke survivors to be provided with timely and accurate prognostication of post-stroke depression (PSD) and post-stroke dementia (PSDem). Several biomarkers regarding stroke patients' propensity to develop PSD and PSDem have been implemented so far, leukoaraiosis (LA) being among them. The purpose of the present study was to review all available work published within the last decade dealing with pre-existing LA as a predictor of depression (PSD) and cognitive dysfunction (cognitive impairment or PSDem) in stroke patients. A literature search of two databases (MEDLINE and Scopus) was conducted to identify all relevant studies published between 1 January 2012 and 25 June 2022 that dealt with the clinical utility of preexisting LA as a prognostic indicator of PSD and PSDem/cognitive impairment. Only full-text articles published in the English language were included. Thirty-four articles were traced and are included in the present review. LA burden, serving as a surrogate marker of "brain frailty" among stroke patients, appears to be able to offer significant information about the possibility of developing PSD or cognitive dysfunction. Determining the extent of pre-existing white matter abnormalities can properly guide decision making in acute stroke settings, as a greater degree of such lesioning is usually coupled with neuropsychiatric aftermaths, such as PSD and PSDem.
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Affiliation(s)
- Eftychia Tziaka
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Foteini Christidi
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Dimitrios Tsiptsios
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
- Correspondence: ; Tel.: +30-6944320016
| | - Anastasia Sousanidou
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Stella Karatzetzou
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Anna Tsiakiri
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | | | - Konstantinos Tsamakis
- Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London SE5 8AB, UK
| | - Nikolaos Retzepis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece
| | - Christos Konstantinidis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece
| | - Christos Kokkotis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece
| | - Aspasia Serdari
- Department of Child and Adolescent Psychiatry, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Nikolaos Aggelousis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece
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Gkantzios A, Kokkotis C, Tsiptsios D, Moustakidis S, Gkartzonika E, Avramidis T, Aggelousis N, Vadikolias K. Evaluation of Blood Biomarkers and Parameters for the Prediction of Stroke Survivors' Functional Outcome upon Discharge Utilizing Explainable Machine Learning. Diagnostics (Basel) 2023; 13:diagnostics13030532. [PMID: 36766637 PMCID: PMC9914778 DOI: 10.3390/diagnostics13030532] [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: 01/09/2023] [Revised: 01/25/2023] [Accepted: 01/29/2023] [Indexed: 02/04/2023] Open
Abstract
Despite therapeutic advancements, stroke remains a leading cause of death and long-term disability. The quality of current stroke prognostic models varies considerably, whereas prediction models of post-stroke disability and mortality are restricted by the sample size, the range of clinical and risk factors and the clinical applicability in general. Accurate prognostication can ease post-stroke discharge planning and help healthcare practitioners individualize aggressive treatment or palliative care, based on projected life expectancy and clinical course. In this study, we aimed to develop an explainable machine learning methodology to predict functional outcomes of stroke patients at discharge, using the Modified Rankin Scale (mRS) as a binary classification problem. We identified 35 parameters from the admission, the first 72 h, as well as the medical history of stroke patients, and used them to train the model. We divided the patients into two classes in two approaches: "Independent" vs. "Non-Independent" and "Non-Disability" vs. "Disability". Using various classifiers, we found that the best models in both approaches had an upward trend, with respect to the selected biomarkers, and achieved a maximum accuracy of 88.57% and 89.29%, respectively. The common features in both approaches included: age, hemispheric stroke localization, stroke localization based on blood supply, development of respiratory infection, National Institutes of Health Stroke Scale (NIHSS) upon admission and systolic blood pressure levels upon admission. Intubation and C-reactive protein (CRP) levels upon admission are additional features for the first approach and Erythrocyte Sedimentation Rate (ESR) levels upon admission for the second. Our results suggest that the said factors may be important predictors of functional outcomes in stroke patients.
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Affiliation(s)
- Aimilios Gkantzios
- Department of Neurology, School of Medicine, University Hospital of Alexandroupolis, Democritus University of Thrace, 68100 Alexandroupolis, Greece
- Department of Neurology, Korgialeneio—Benakeio “Hellenic Red Cross” General Hospital of Athens, 11526 Athens, Greece
- Correspondence:
| | - Christos Kokkotis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece
| | - Dimitrios Tsiptsios
- Department of Neurology, School of Medicine, University Hospital of Alexandroupolis, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Serafeim Moustakidis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece
- AIDEAS OÜ, Narva mnt 5, 10117 Tallinn, Estonia
| | - Elena Gkartzonika
- School of Philosophy, University of Ioannina, 45110 Ioannina, Greece
| | - Theodoros Avramidis
- Department of Neurology, Korgialeneio—Benakeio “Hellenic Red Cross” General Hospital of Athens, 11526 Athens, Greece
| | - Nikolaos Aggelousis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece
| | - Konstantinos Vadikolias
- Department of Neurology, School of Medicine, University Hospital of Alexandroupolis, Democritus University of Thrace, 68100 Alexandroupolis, Greece
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Karatzetzou S, Tsiptsios D, Sousanidou A, Fotiadou S, Christidi F, Kokkotis C, Gkantzios A, Stefas E, Vlotinou P, Kaltsatou A, Aggelousis N, Vadikolias K. Copeptin Implementation on Stroke Prognosis. Neurol Int 2023; 15:83-99. [PMID: 36648972 PMCID: PMC9844286 DOI: 10.3390/neurolint15010008] [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: 12/06/2022] [Revised: 01/02/2023] [Accepted: 01/11/2023] [Indexed: 01/18/2023] Open
Abstract
Predicting functional outcome following stroke is considered to be of key importance in an attempt to optimize overall stroke care. Although clinical prognostic tools have been widely implemented, optimal blood biomarkers might be able to yield additional information regarding each stroke survivor's propensity for recovery. Copeptin seems to have interesting prognostic potential poststroke. The present review aims to explore the prognostic significance of copeptin in stroke patients. Literature research of two databases (MEDLINE and Scopus) was conducted to trace all relevant studies published between 16 February 2012 and 16 February 2022 that focused on the utility of copeptin as a prognostic marker in acute stroke setting. 25 studies have been identified and included in the present review. The predictive ability of copeptin regarding both functional outcome and mortality appears to be in the range of established clinical variables, thus highlighting the added value of copeptin evaluation in stroke management. Apart from acute ischemic stroke, the discriminatory accuracy of the biomarker was also demonstrated among patients with transient ischemic attack, intracerebral hemorrhage, and subarachnoid hemorrhage. Overall, copeptin represents a powerful prognostic tool, the clinical implementation of which is expected to significantly facilitate the individualized management of stroke patients.
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Affiliation(s)
- Stella Karatzetzou
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Dimitrios Tsiptsios
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
- Correspondence: ; Tel.: +30-6944320016
| | - Anastasia Sousanidou
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Styliani Fotiadou
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Foteini Christidi
- 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
| | - Aimilios Gkantzios
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Eleftherios Stefas
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Pinelopi Vlotinou
- Neurology Department, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Antonia Kaltsatou
- FAME Laboratory, Department of Physical Education and Sport Science, University of Thessaly, 42100 Trikala, Greece
| | - Nikolaos Aggelousis
- Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece
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