Estimating the Global Incidence of Aneurysmal Subarachnoid Hemorrhage: A Systematic Review for Central Nervous System Vascular Lesions and Meta-Analysis of Ruptured Aneurysms

Hughes, Joshua D.; Bond, Kamila M.; Mekary, Rania A.; Dewan, Michael C.; Rattani, Abbas; Baticulon, Ronnie E.; Kato, Yōkō; Filho, Hildo Rocha Cirne de Azevedo; Morcos, Jacques J.; Park, Kee B.

doi:10.1016/j.wneu.2018.03.220

Cited by 80 publications

(48 citation statements)

References 119 publications

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“…Aneurysmal subarachnoid hemorrhage (SAH) is a frequently devastating condition which constitutes about 5% of all strokes with a variable annual incidence between 0.7 and 23.9 cases per 100,000 inhabitants among different regions of the world with slight decline over the past decades [16,29,56,57]. Despite of its relatively rare occurrence, SAH contributes significantly to stroke-associated reduction of health-related quality of life, morbidity, and mortality mainly due to the severity of the condition and the young average age of the affected patients [4,9,43,66].…”

Section: Introductionmentioning

confidence: 99%

The burden of headache following aneurysmal subarachnoid hemorrhage: a prospective single-center cross-sectional analysis

et al. 2020

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Background Aneurysmal subarachnoid hemorrhage (SAH) as a serious type of stroke is frequently accompanied by a so-called initial thunderclap headache. However, the occurrence of burdensome long-term headache following SAH has never been studied in detail so far. The aim of this study was to determine the prevalence and characteristics of long-term burdensome headache in good-grade SAH patients as well as its relation to health-related quality of life (HR-QOL). Methods All SAH cases treated between January 2014 and December 2016 with preserved consciousness at hospital discharge were prospectively interviewed regarding burdensome headache in 2018. Study participants were subsequently scrutinized by means of a standardized postal survey comprising validated pain and HR-QOL questionnaires. A retrospective chart review provided data on the initial treatment. Results A total of 93 out of 145 eligible SAH patients participated in the study (62 females). A total of 41% (38/93) of subjects indicated burdensome headache at follow-up (mean 32.6 ± 9.3 months). Comparison between patients with (HA+) and without long-term headache (HA-) revealed significantly younger mean age (47.9 ± 11.8 vs. 55.6 ± 10.3 years; p < .01) as well as more favorable neurological conditions (WFNS I/II: 95% vs. 75%; p = .03) in HA+ cases. The mean average headache of the HA+ group was 3.7 ± 2.3 (10-point numeric rating scale), and the mean maximum headache intensity was 5.7 ± 2.9. Pain and HR-QOL scores demonstrated profound alterations in HA+ compared to HA-patients. Conclusions Our results suggest that a considerable proportion of SAH patients suffers from burdensome headache even years after the hemorrhage. Moreover, long-term headache is associated with reduced HR-QOL in these cases. Keywords Headache. Intracranial aneurysm. Quality of life. Subarachnoid hemorrhage This article is part of the Topical Collection on Vascular Neurosurgery-Aneurysm Previous presentation Parts of this study have been presented as an oral contribution at the 70th annual meeting of the German Society of Neurosurgery. The meeting was held in Würzburg (Germany) from May 12 to 15, 2019.

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Section: Introductionmentioning

confidence: 99%

The burden of headache following aneurysmal subarachnoid hemorrhage: a prospective single-center cross-sectional analysis

et al. 2020

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“…Aneurysmal subarachnoid hemorrhage (aSAH) represents 5%-10% of all strokes and has an estimated global incidence of 6.67 per 100,000 people (1,2). The loss of productive life years due to aSAH is as great as that for cerebral infarction because it frequently affects patients younger than 65 years of age (3).…”

Section: Introductionmentioning

confidence: 99%

Haptoglobin administration into the subarachnoid space prevents hemoglobin-induced cerebral vasospasm

Hugelshofer

Buzzi

Schaer

et al. 2019

Journal of Clinical Investigation

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Statistics. We used JMP software from SAS (versions 13 or 14) for all analyses. Data are presented with all data points plotted. Overlayed diamonds represent mean, 95% CI, and overlap marks (horizontal lines above and below the mean line), which define statistical significant difference between groups if not overlapping (P < 0.05). Groups were compared with 1-way ANOVA, applying a Tukey-Kramer posttest correcting for multiple comparisons. A P value of less than 0.05 was considered statistically significant.Study approval. All animal studies were approved by the cantonal veterinary authorities "Kantonale Tierversuchskommission Zürich." The clinical study (CSF sampling) was approved by the local ethical review board of the Kanton of Zurich, and written consent was obtained from all patients or their legal representatives.

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“…The incidence of SAH is known to be higher in the Western Pacific Region (including Korea) than in other regions. Moreover, the incidence of UIA in Korea is also markedly higher than that in other countries 2,16,36,37 . Considering potential reasons for discrepancies, the global applicability of this model requires further validation 38 .…”

Section: Discussionmentioning

confidence: 88%

Prediction of Intracranial Aneurysm Risk using Machine Learning

Heo

Park

Kang

et al. 2020

Sci Rep

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An efficient method for identifying subjects at high risk of an intracranial aneurysm (IA) is warranted to provide adequate radiological screening guidelines and effectively allocate medical resources. We developed a model for pre-diagnosis IA prediction using a national claims database and health examination records. Data from the National Health Screening Program in Korea were utilized as input for several machine learning algorithms: logistic regression (LR), random forest (RF), scalable tree boosting system (XGB), and deep neural networks (DNN). Algorithm performance was evaluated through the area under the receiver operating characteristic curve (AUROC) using different test data from that employed for model training. Five risk groups were classified in ascending order of risk using model prediction probabilities. Incidence rate ratios between the lowest-and highest-risk groups were then compared. The XGB model produced the best IA risk prediction (AUROC of 0.765) and predicted the lowest IA incidence (3.20) in the lowest-risk group, whereas the RF model predicted the highest IA incidence (161.34) in the highest-risk group. The incidence rate ratios between the lowest-and highestrisk groups were 49.85, 35.85, 34.90, and 30.26 for the XGB, LR, DNN, and RF models, respectively. The developed prediction model can aid future IA screening strategies.

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Estimating the Global Incidence of Aneurysmal Subarachnoid Hemorrhage: A Systematic Review for Central Nervous System Vascular Lesions and Meta-Analysis of Ruptured Aneurysms

Cited by 80 publications

References 119 publications

The burden of headache following aneurysmal subarachnoid hemorrhage: a prospective single-center cross-sectional analysis

The burden of headache following aneurysmal subarachnoid hemorrhage: a prospective single-center cross-sectional analysis

Haptoglobin administration into the subarachnoid space prevents hemoglobin-induced cerebral vasospasm

Prediction of Intracranial Aneurysm Risk using Machine Learning

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