Cervical Artery Dissections—A Demographical Analysis of Risk Factors, Clinical Characteristics Treatment Procedures, and Outcomes—A Single Centre Study of 54 Consecutive Cases
Abstract
:1. Introduction
2. Materials and Methods
- Age >18 years;
- Certain diagnoses of CAD using conventional and valid diagnostic methods;
- New onset of symptoms before diagnosis without previous knowledge of dissection history;
- The compliance of the patient, both in the short and in the long terms;
- The age profile of the patients;
- The underlying mechanism of the dissection;
- The impact of the risk factors on the general prognosis of the subjects;
- The mean morbidity of the patients upon discharge;
- The clinical presentation.
- Sample errors were given by certain anomalies in the distribution of the studied population. We managed to avoid this type of error by focusing on a relatively homogenous demographical group;
- Use of a relatively small data sample, given the relative scarcity of cases and the rarity of the disease, further application of the statistical method that was used should be further implemented on larger populations.
3. Results
3.1. Clinical Presentation Associated with Risk Factors and Diagnosis Tools
3.2. Short-Term and Long-Term Treatment Options and Outcomes
4. Discussion
- Conservative treatment with antiplatelet drugs for those patients diagnosed with CAD but no objective evidence of stroke, with either no symptoms or only local compression syndromes;
- Conservative treatment but with anticoagulation for patients with evidence of stroke syndromes and vessel occlusion but no eligibility for acute revascularization therapy, and either endovascular treatment or intravenous thrombolysis for those patients presenting within favorable time parameters and obvious debilitating stroke syndromes with confirmed vessel occlusion due to CAD [38].
- The higher incidence of carotid artery dissections;
5. Conclusions
- Typically, the profile of the patient is a mid-40s Caucasian male;
- The associated relevant risk factors and predisposing conditions are chronic alcohol consumption and hypertension, and there is a significant association between various headache types and the occurrence of CAD;
- The general prognosis of those patients is relatively good, as pointed out by the mean values of the clinical severity scores upon discharge, as well as the mean morbidity score.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
CAD | cervical artery dissection |
CTA | computer tomography angiography |
CT | computer Tomography |
MR | magnetic resonance |
MRA | magnetic resonance angiography |
NIHSS | National Institute of Health Stroke Scale |
mRS | modified Rankin scale |
DSA | direct subtraction angiography |
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Characteristic | Men (n = 36) | Women (n = 18) | Total (n = 54) | p-Value |
---|---|---|---|---|
Mean age in years | 41.6 ± 1.83, IQR = 13 | 37.7 ± 2.37, IQR = 8 | 40.32 ± 1.46, IQR = 12 | - |
Recent history of cervical trauma or neck strain | NS | |||
Yes | 12 (33%) | 7 (41%) | 19 (36%) | |
No | 24 (67%) | 12 (59%) | 31 (64%) | |
Smoking History | NS | |||
Yes | 10 (30.3%) | 1 (5%) | 11 (22%) | |
No | 23 (68.7%) | 16 (95%) | 39 (78%) | |
Alcohol consumption | NS | |||
Yes | 4 (12%) | 2 (11.7%) | 6 (12%) | |
No | 29 (88%) | 15 (88.3%) | 44 (88%) | |
Hypertension | NS | |||
Yes | 21 (64%) | 9 (52%) | 30 (60%) | |
No | 12 (36%) | 8 (48%) | 20 (40%) | |
Presence of migraine | p = 0.006 | |||
Yes | 5 (15%) | 10 (55%) | 15 (30%) | |
No | 28 (85%) | 8 (45%) | 35 (70%) | |
Underlying prothrombotic conditions | NS | |||
Yes | 10 (30.3%) | 7 (41.2%) | 17 (34%) | |
No | 23 (69.7%) | 10 (58.8%) | 33 (66%) | |
Hypercholesterolemia | NS | |||
Yes | 15 (45.4%) | 8 (47%) | 23 (46%) | |
No | 18 (54.6%) | 9 (53%) | 27 (54%) |
Affected Territories | Male Group | Female Group |
---|---|---|
Right carotid | 11 | 8 |
Left Carotid | 10 | 7 |
Right Vertebral | 5 | 2 |
Left vertebral | 9 | 2 |
Multiple arterial dissections | 2 | 1 |
Presenting symptoms | ||
Limb weakness | 27 | 13 |
Speech Disturbances | 9 | 4 |
Dizziness | 4 | 2 |
Horner’s syndrome | 2 | 1 |
Visual disturbances | 3 | 1 |
Cranial Nerve Palsies | 1 | 1 |
Diagnosis tools that were used | ||
DSA | 5 | 1 |
CT-Angiography | 19 | 8 |
Doppler Ultrasonography | 5 | 4 |
MR/ MR Angiography | 4 | 2 |
Acute treatment options for the patients | ||
Endovascular | 4 | 2 |
IV Thrombolysis | 7 | 3 |
Endovascular and Thrombolytic treatment | 4 | 2 |
Conservative | 25 | 10 |
Mean NIHSS Score with the Mentioned Underlying Condition | Mean NIHSS Score without the Mentioned Underlying Condition | p-Value | |
---|---|---|---|
Alcohol consumption | 5.43 ± 0.79, IQR = 15 | 10.16 ± 2.63, IQR = 8 | <0.05 |
Hypercholesterolemia | 10.2 ± 0.93, IQR = 6.5 | 1.96 ± 0.40, IQR = 11 | <0.001 |
Hypertension | 5.2 ± 1.022, IQR = 10 | 6.53 ± 1.12, IQR = 6 | NS |
Smoking | 5.2 ± 1.022, IQR = 9 | 6.53 ± 1.12 | NS |
Migraine presence | 5.68 ± 0.91, IQR = 2 | 7 ± 1.53, IQR = 10 | NS |
Prothrombotic conditions | 6.7 ± 1.41, IQR = 11 | 5.63 ± 0.95, IQR = 12.5 | NS |
History of recent neck injury | 5.9 ± 0.96 | 6.29 ± 1.46, IQR = 11 | NS |
Mean Rankin Score | Male | Female | p-Value |
---|---|---|---|
2.3 ± 0.22 | 1.41 ± 0.17, IQR = 14 | 0.01 |
Mean/Median Value of Rankin Score with the Mentioned Underlying Condition | Mean/Median Value of Rankin Score without the Mentioned Underlying Condition | p-Value | |
---|---|---|---|
Alcohol consumption | 3.00 ± 1.72, IQR = −1 | 2.00± 1.08, IQR = 12 | NS |
Hypercholesterolemia | 3.00 ± 0.93 | 2.50 ± 0.40 | NS |
Hypertension | 2.00 ± 1.24 | 1.50 ± 1.13, IQR = 2 | NS |
Smoking | 1.00 ± 1.53, IQR = 13 | 2.00 ± 1.099 | NS |
Migraine presence | 1.50 ± 0.96, IQR = 14 | 2.00 ± 1.17 | NS |
Prothrombotic conditions | 2.00 ± 1.33, IQR = 9.5 | 2.00 ± 1.12, IQR = 1 | NS |
History of recent neck injury | 2.0 ± 1.33, IQR = 4 | 2.00 ± 1.12, IQR = 1 | NS |
Acute Treatment That Was Performed | Thrombolysis | Thrombectomy | Conservative Treatment | p-Value |
---|---|---|---|---|
Mean/Median Rankin score at discharge | 2 | 2 | 1 | NS |
Carotid Artery Dissection | Vertebral Artery Dissection | Multiple Dissections | |
---|---|---|---|
Alcohol consumption | 3 | 2 | 2 |
Hypercholesterolemia | 21 | 7 | 2 |
Hypertension | 11 | 5 | 0 |
Smoking | 8 | 6 | 1 |
Migraine presence | 8 | 4 | 1 |
Prothrombotic conditions | 2 | 4 | 1 |
History of recent neck injury | 11 | 6 | 1 |
Vertebral Artery Dissection | Carotid Artery Dissection | Multiple Dissection | p-Value | |
---|---|---|---|---|
Mean NIHSS score upon presentation | 0.5 ± 0.73, IQR = −3 | 8.52 ± 4.89 | 4 ± 2 | <0.01 |
Mean Rankin score at discharge | 1 ± 1 | 2 ± 1.5 | 2.5 ± 0.5 | <0.01 |
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Roman Filip, I.; Morosanu, V.; Spinu, D.; Motoc, C.; Bajko, Z.; Sarmasan, E.; Roman, C.; Balasa, R. Cervical Artery Dissections—A Demographical Analysis of Risk Factors, Clinical Characteristics Treatment Procedures, and Outcomes—A Single Centre Study of 54 Consecutive Cases. J. Pers. Med. 2024, 14, 48. https://doi.org/10.3390/jpm14010048
Roman Filip I, Morosanu V, Spinu D, Motoc C, Bajko Z, Sarmasan E, Roman C, Balasa R. Cervical Artery Dissections—A Demographical Analysis of Risk Factors, Clinical Characteristics Treatment Procedures, and Outcomes—A Single Centre Study of 54 Consecutive Cases. Journal of Personalized Medicine. 2024; 14(1):48. https://doi.org/10.3390/jpm14010048
Chicago/Turabian StyleRoman Filip, Iulian, Valentin Morosanu, Doina Spinu, Claudiu Motoc, Zoltan Bajko, Emanuela Sarmasan, Corina Roman, and Rodica Balasa. 2024. "Cervical Artery Dissections—A Demographical Analysis of Risk Factors, Clinical Characteristics Treatment Procedures, and Outcomes—A Single Centre Study of 54 Consecutive Cases" Journal of Personalized Medicine 14, no. 1: 48. https://doi.org/10.3390/jpm14010048
APA StyleRoman Filip, I., Morosanu, V., Spinu, D., Motoc, C., Bajko, Z., Sarmasan, E., Roman, C., & Balasa, R. (2024). Cervical Artery Dissections—A Demographical Analysis of Risk Factors, Clinical Characteristics Treatment Procedures, and Outcomes—A Single Centre Study of 54 Consecutive Cases. Journal of Personalized Medicine, 14(1), 48. https://doi.org/10.3390/jpm14010048