1
|
Song L, Oppong MD, Dammann P, Wrede KH, Ahmadipour Y, Gümüs M, Dinger TF, Rauschenbach L, Li Y, Frank B, Sure U, Jabbarli R. A nomogram for predicting prognostic risk factors in individuals with poor grade aneurysmal subarachnoid hemorrhage: a retrospective study. Neurosurg Rev 2025; 48:25. [PMID: 39775311 PMCID: PMC11706874 DOI: 10.1007/s10143-025-03188-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2024] [Revised: 11/23/2024] [Accepted: 01/01/2025] [Indexed: 01/11/2025]
Abstract
Poor-grade aneurysmal subarachnoid hemorrhage (PGASAH) is associated with high mortality and morbidity despite advanced treatments. Accurate prediction of prognosis remains a clinical challenge. This study aimed to identify independent risk factors and develop a predictive nomogram for unfavorable outcomes in PGASAH patients. This retrospective study included 348 PGASAH patients treated between 2003 and 2016. Univariate and multivariate logistic regression analyses were performed to evaluate the association of premorbid conditions, admission aSAH clinical parameters, admission laboratory parameters, and clinical complications with unfavorable outcomes, defined as mRS > 2 at 6 months. Independent predictors were identified, and a nomogram was constructed to assess predictive accuracy and clinical utility. The median age of PGASAH patients was 55.1 years, 64.9% were females. Independent predictors of unfavorable outcomes (mRS > 2) at 6 months included age > 55 years (aOR = 2.44), cardiac valve disease (aOR = 6.50), dilated pupils at admission (aOR = 2.64), early infarction (aOR = 5.56), and delayed cerebral ischemia (aOR = 5.09). The nomogram demonstrated good predictive performance with an AUC of 0.807. Decision curve analysis affirmed its clinical applicability. The intuitive nomogram helps physicians predict PGASAH prognosis at discharge, improving long-term management, optimizing resource allocation, and enhancing patient and family awareness and psychological preparedness. External validation is required for broader clinical use.
Collapse
Affiliation(s)
- Li Song
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University of Duisburg Essen, Essen, Germany.
| | - Marvin Darkwah Oppong
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University of Duisburg Essen, Essen, Germany
| | - Philipp Dammann
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University of Duisburg Essen, Essen, Germany
| | - Karsten H Wrede
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University of Duisburg Essen, Essen, Germany
| | - Yahya Ahmadipour
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University of Duisburg Essen, Essen, Germany
| | - Meltem Gümüs
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University of Duisburg Essen, Essen, Germany
| | - Thiemo Florin Dinger
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University of Duisburg Essen, Essen, Germany
| | - Laurèl Rauschenbach
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University of Duisburg Essen, Essen, Germany
| | - Yan Li
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Benedikt Frank
- Department of Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Ulrich Sure
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University of Duisburg Essen, Essen, Germany
| | - Ramazan Jabbarli
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University of Duisburg Essen, Essen, Germany
| |
Collapse
|
2
|
Henry J, Dablouk MO, Kapoor D, Koustais S, Corr P, Nolan D, Coffey D, Thornton J, O'Hare A, Power S, Rawluk D, Javadpour M. Outcomes following poor-grade aneurysmal subarachnoid haemorrhage: a prospective observational study. Acta Neurochir (Wien) 2023; 165:3651-3664. [PMID: 37968366 DOI: 10.1007/s00701-023-05884-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 10/18/2023] [Indexed: 11/17/2023]
Abstract
BACKGROUND Up to 35% of aneurysmal subarachnoid haemorrhage (aSAH) cases may present as poor grade, defined as World Federation of Neurosurgical Societies (WFNS) grades IV and V. In this study, we evaluate functional outcomes and prognostic factors. METHODS This prospective study included all patients referred to a national, centralized neurosurgical service with a diagnosis of poor-grade aSAH between 01/01/2016 and 31/12/2019. Multivariable logistic regression models were used to estimate probability of poor functional outcomes, defined as a Glasgow Outcome Scale (GOS) of 1-3 at 3 months. RESULTS Two hundred fifty-seven patients were referred, of whom 116/257 (45.1%) underwent treatment of an aneurysm, with 97/116 (84%) treated within 48 h of referral. Median age was 62 years (IQR 51-69) with a female predominance (167/257, 65%). Untreated patients tended to be older; 123/141 (87%) had WFNS V, 60/141 (45%) unreactive pupils and 21/141 (16%) circulatory arrest. Of all referred patients, poor outcome occurred in 169/230 (73.5%). Unreactive pupils or circulatory arrest conferred a universally poor prognosis, with mortality in 55/56 (98%) and 19/19 (100%), respectively. The risk of a poor outcome was 14.1% (95% CI 4.5-23.6) higher in WFNS V compared with WFNS IV. Age was important in patients without circulatory arrest or unreactive pupils, with risk of a poor outcome increasing by 1.8% per year (95% CI 1-2.7). In patients undergoing aneurysm securement, 48/101 (47.5%) had a poor outcome, with age, rebleeding, vasospasm and cerebrospinal fluid (CSF) diversion being important prognosticators. The addition of serum markers did not add significant discrimination beyond the clinical presentation. CONCLUSIONS The overall outcomes of WFNS IV and V aSAH remain poor, mainly due to the devastating effects of the original haemorrhage. However, in patients selected for aneurysm securement, good outcomes can be achieved in more than half of patients. Age, pre-intervention rebleeding, vasospasm, and CSF diversion are important prognostic factors.
Collapse
Affiliation(s)
- Jack Henry
- National Neurosurgical Centre, Beaumont Hospital, Dublin, Ireland.
- Royal College of Surgeons in Ireland, Dublin, Ireland.
| | - Mohammed O Dablouk
- National Neurosurgical Centre, Beaumont Hospital, Dublin, Ireland
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Dhruv Kapoor
- National Neurosurgical Centre, Beaumont Hospital, Dublin, Ireland
| | - Stavros Koustais
- National Neurosurgical Centre, Beaumont Hospital, Dublin, Ireland
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Paula Corr
- National Neurosurgical Centre, Beaumont Hospital, Dublin, Ireland
| | - Deirdre Nolan
- National Neurosurgical Centre, Beaumont Hospital, Dublin, Ireland
| | - Deirdre Coffey
- National Neurosurgical Centre, Beaumont Hospital, Dublin, Ireland
| | - John Thornton
- Department of Neuroradiology, Beaumont Hospital, Dublin, Ireland
| | - Alan O'Hare
- Department of Neuroradiology, Beaumont Hospital, Dublin, Ireland
| | - Sarah Power
- Department of Neuroradiology, Beaumont Hospital, Dublin, Ireland
| | - Daniel Rawluk
- National Neurosurgical Centre, Beaumont Hospital, Dublin, Ireland
| | - Mohsen Javadpour
- National Neurosurgical Centre, Beaumont Hospital, Dublin, Ireland.
- Royal College of Surgeons in Ireland, Dublin, Ireland.
- Department of Academic Neurology, Trinity College Dublin, Dublin, Ireland.
| |
Collapse
|
3
|
Lu J, Wang L, Li R, Lin F, Chen Y, Yan D, Yang J, Li R, Li Z, Zhang H, Han H, Yuan K, Wang K, Ren Y, Chen X, Zhao Y, Zhao J. Timing of operation for poor-grade aneurysmal subarachnoid hemorrhage: Relationship with delayed cerebral ischemia and poor prognosis. CNS Neurosci Ther 2023; 29:1120-1128. [PMID: 36627811 PMCID: PMC10018093 DOI: 10.1111/cns.14088] [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: 08/18/2022] [Revised: 12/21/2022] [Accepted: 12/29/2022] [Indexed: 01/12/2023] Open
Abstract
AIMS To assess differences in the clinical prognosis between different treatment timings in poor-grade (Hunt and Hess grade 4-5) aneurysmal subarachnoid hemorrhage patients. METHODS The treated 127 poor-grade aneurysmal subarachnoid hemorrhage patients were divided into three groups: early treatment within 2 days, treatment on days 3 to 10, and treatment for more than 10 days after the hemorrhage. Odd ratios with a 95% confidence interval were calculated in logistic regression for different timing strategies regarding delayed cerebral ischemia and poor prognosis at 3 months. Subgroup analyses were conducted to determine whether the different timing strategies affect the prognosis. RESULTS Patients who received the treatment on days 3 to 10 were prone to develop delayed cerebral ischemia and poor prognosis at 3 months. Postponing treatment in patients older than 55 years or diagnosed with an intraventricular hematoma on the initial computed tomography scan may lead to poor prognosis, with the early intervention group as a reference. CONCLUSIONS Early intervention in poor-grade aneurysmal subarachnoid hemorrhage is suggested to be implemented. The treatment on 3 to 10 days harbored the highest risk of poor prognosis; patients might benefit more from early intervention, especially for ones older than 55 years or diagnosed with an intraventricular hematoma.
Collapse
Affiliation(s)
- Junlin Lu
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Liang Wang
- Department of Neurosurgery, Tianjin fifth Central Hospital, Tianjin, China
| | - Runting Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Fa Lin
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yu Chen
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Debin Yan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jun Yang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ruinan Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhipeng Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Haibin Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Heze Han
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Kexin Yuan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ke Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yihang Ren
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiaolin Chen
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Stroke Center, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Yuanli Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Stroke Center, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China.,Beijing Translational Engineering Enter for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Jizong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Stroke Center, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China.,Beijing Translational Engineering Enter for 3D Printer in Clinical Neuroscience, Beijing, China
| |
Collapse
|
4
|
Huang HY, Yuan B, Chen SJ, Han YL, Zhang X, Yu Q, Wu Q. A novel nomogram model for clinical outcomes of severe subarachnoid hemorrhage patients. Front Neurosci 2022; 16:1041548. [PMID: 36507324 PMCID: PMC9729550 DOI: 10.3389/fnins.2022.1041548] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Accepted: 11/09/2022] [Indexed: 11/25/2022] Open
Abstract
Background Systemic responses, especially inflammatory responses, after aneurysmal subarachnoid hemorrhage (SAH) are closely related to clinical outcomes. Our study aimed to explore the correlation between the systemic responses in the acute stage and the mid-term outcomes of severe SAH patients (Hunt-Hess grade III-V). Materials and methods Severe SAH patients admitted to Jinling Hospital from January 2015 to December 2019 were retrospectively analyzed in the study. The univariate and multivariate logistic regression analyses were used to explore the risk factors of 6-month clinical outcomes in severe SAH patients. A predictive model was established based on those risk factors and was visualized by a nomogram. Then, the predictive nomogram model was validated in another severe SAH patient cohort from January 2020 to January 2022. Results A total of 194 patients were enrolled in this study. 123 (63.4%, 123 of 194) patients achieved good clinical outcomes at the 6-month follow-up. Univariate and multivariate logistic regression analysis revealed that age, Hunt-Hess grade, neutrophil-to-lymphocyte ratio (NLR), and complications not related to operations were independent risk factors for unfavorable outcomes at 6-month follow-up. The areas under the curve (AUC) analysis showed that the predictive model based on the above four variables was significantly better than the Hunt-Hess grade (0.812 vs. 0.685, P = 0.013). In the validation cohort with 44 severe SAH patients from three different clinical centers, the AUC of the prognostic nomogram model was 0.893. Conclusion The predictive nomogram model could be a reliable predictive tool for the outcome of severe SAH patients. Systemic inflammatory responses after SAH and complications not related to operations, especially hydrocephalus, delayed cerebral ischemia, and pneumonia, might be the important risk factors that lead to poor outcomes in severe SAH patients.
Collapse
Affiliation(s)
- Han-Yu Huang
- Department of Neurosurgery, Jinling Hospital, Nanjing Medical University, Nanjing, Jiangsu, China,Department of Neurosurgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China
| | - Bin Yuan
- Department of Neurosurgery, Jinling Hospital, Nanjing Medical University, Nanjing, Jiangsu, China,Department of Neurosurgery, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, Jiangsu, China
| | - Shu-Juan Chen
- Department of Neurosurgery, Jinling Hospital, Nanjing Medical University, Nanjing, Jiangsu, China,Department of Neurosurgery, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, Jiangsu, China
| | - Yan-ling Han
- Department of Neurosurgery, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, Jiangsu, China
| | - Xin Zhang
- Department of Neurosurgery, Jinling Hospital, Nanjing Medical University, Nanjing, Jiangsu, China,Department of Neurosurgery, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, Jiangsu, China
| | - Qing Yu
- Department of Clinical Laboratory, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China,*Correspondence: Qing Yu,
| | - Qi Wu
- Department of Neurosurgery, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, Jiangsu, China,Qi Wu,
| |
Collapse
|
5
|
de Winkel J, Cras TY, Dammers R, van Doormaal PJ, van der Jagt M, Dippel DWJ, Lingsma HF, Roozenbeek B. Early predictors of functional outcome in poor-grade aneurysmal subarachnoid hemorrhage: a systematic review and meta-analysis. BMC Neurol 2022; 22:239. [PMID: 35773634 PMCID: PMC9245240 DOI: 10.1186/s12883-022-02734-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 05/19/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Patients with poor-grade aneurysmal subarachnoid hemorrhage (aSAH) often receive delayed or no aneurysm treatment, although recent studies suggest that functional outcome following early aneurysm treatment has improved. We aimed to systematically review and meta-analyze early predictors of functional outcome in poor-grade aSAH patients. METHODS: We included studies investigating the association of early predictors and functional outcome in adult patients with confirmed poor-grade aSAH, defined as World Federation of Neurological Surgeons (WFNS) grade or Hunt and Hess (H-H) grade IV-V. Studies had to use multivariable regression analysis to estimate independent predictor effects of favorable functional outcome measured with the Glasgow Outcome Scale or modified Rankin Scale. We calculated pooled adjusted odds ratios (aOR) and 95% confidence intervals (CI) with random effects models. RESULTS: We included 27 studies with 3287 patients. The likelihood of favorable outcome increased with WFNS grade or H-H grade IV versus V (aOR 2.9, 95% CI 1.9-4.3), presence of clinical improvement before aneurysm treatment (aOR 3.3, 95% CI 2.0-5.3), and intact pupillary light reflex (aOR 2.9, 95% CI 1.6-5.1), and decreased with older age (aOR 0.7, 95% CI 0.5-1.0, per decade), increasing modified Fisher grade (aOR 0.4, 95% CI 0.3-0.5, per grade), and presence of intracerebral hematoma on admission imaging (aOR 0.4, 95% CI 0.2-0.8). CONCLUSIONS We present a summary of early predictors of functional outcome in poor-grade aSAH patients that can help to discriminate between patients with favorable and with unfavorable prognosis and may aid in selecting patients for early aneurysm treatment.
Collapse
Affiliation(s)
- Jordi de Winkel
- Department of Neurology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands. .,Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
| | - Tim Y Cras
- Department of Neurology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Ruben Dammers
- Department of Neurosurgery, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Pieter-Jan van Doormaal
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Mathieu van der Jagt
- Department of Intensive Care Adults, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Diederik W J Dippel
- Department of Neurology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Hester F Lingsma
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Bob Roozenbeek
- Department of Neurology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| |
Collapse
|
6
|
Shen J, Yu J, Huang S, Mungur R, Huang K, Pan X, Yu G, Xie Z, Zhou L, Liu Z, Cheng D, Pan J, Zhan R. Scoring Model to Predict Functional Outcome in Poor-Grade Aneurysmal Subarachnoid Hemorrhage. Front Neurol 2021; 12:601996. [PMID: 33679575 PMCID: PMC7930831 DOI: 10.3389/fneur.2021.601996] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 01/20/2021] [Indexed: 11/25/2022] Open
Abstract
Background: Patients with poor-grade aneurysmal subarachnoid hemorrhage (aSAH), defined as World Federation of Neurosurgical Societies (WFNS) grades IV–V have high rates of disability and mortality. The objective of this study was to accurately prognosticate the outcomes of patients with poor-grade aSAH by developing a new scoring model. Methods: A total of 147 poor-grade aSAH patients in our center were enrolled. Risk variables identified by multivariate logistic regression analysis were used to devise a scoring model (total score, 0–9 points). The scores were estimated on the basis of β coefficients. A cohort of 68 patients from another institute was used to validate the model. Results: Multivariate logistic regression analysis revealed that modified Fisher grade >2 [odds ratio [OR], 2.972; P = 0.034], age ≥65 years (OR, 3.534; P = 0.006), conservative treatment (OR, 5.078; P = 0.019), WFNS grade V (OR, 2.638; P = 0.029), delayed cerebral ischemia (OR, 3.170; P = 0.016), shunt-dependent hydrocephalus (OR, 3.202; P = 0.032), and cerebral herniation (OR, 7.337; P < 0.001) were significant predictors for poor prognosis [modified Rankin Scale [mRS] ≥3]. A scoring system was constructed by the integration of these factors and divided the poor-grade aSAH patients into three categories: low risk (0–1 points), intermediate risk (2–3 points), and high risk (4–9 points), with predicted risks of poor prognosis of 11, 52, and 87%, respectively (P < 0.001). The area under the curve in the derivation cohort was 0.844 (95% CI, 0.778–0.909). The AUC in the validation cohort was 0.831 (95% CI, 0.732–0.929). Conclusions: The new scoring model can improve prognostication and help decision-making for subsequent complementary treatment in patients with aSAH.
Collapse
Affiliation(s)
- Jie Shen
- Department of Neurosurgery, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Jianbo Yu
- Department of Neurosurgery, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Sicong Huang
- Department of Neurosurgery, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Rajneesh Mungur
- Department of Neurosurgery, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Kaiyuan Huang
- Department of Neurosurgery, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Xinfa Pan
- Department of Neurosurgery, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Guofeng Yu
- Department of Neurosurgery, Quzhou People's Hospital, Quzhou, China
| | - Zhikai Xie
- Department of Neurosurgery, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Lihui Zhou
- Department of Neurosurgery, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Zongchi Liu
- Department of Neurosurgery, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Dexin Cheng
- Department of Neurosurgery, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Jianwei Pan
- Department of Neurosurgery, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Renya Zhan
- Department of Neurosurgery, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| |
Collapse
|
7
|
Gao L, Qian Y, Luo J, Hong Y, Hu Y, Cheng H, Cheng B. Clinical Efficacy and Quality of Life Follow-Up of Reconstructive Endovascular Therapy for Acute Intracranial Vertebral Artery Dissection Aneurysms. Front Surg 2020; 7:32. [PMID: 32850942 PMCID: PMC7403182 DOI: 10.3389/fsurg.2020.00032] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 05/11/2020] [Indexed: 11/30/2022] Open
Abstract
Background: Intracranial vertebral artery dissection aneurysms (VADAs) may cause acute ischemia or hemorrhage, in which case urgent endovascular treatment will be needed. Although the majority of patients obtain a good functional outcome after surgery, a surprising finding has been a poor quality of life (QOL) in follow-up. The purpose of this study was to evaluate clinical efficacy in reconstructive endovascular therapy for acute intracranial VADAs and to analyze the factors contributing to subsequent QOL. Methods: In this prospective study, 33 consecutive VADA patients with subarachnoid hemorrhage were recruited for comparison with 37 VADA patients with posterior circulation cerebral ischemia. All VADA patients were treated using a reconstructive strategy. Clinical, radiological, neurological, and cognitive data, as well as QOL, were assessed at admission and 6 months after surgery. Stoke Specific Quality of Life (SS-QOL) was evaluated for patients with good functional outcome [modified Ranking Scale (mRS) scoring 0-2] for subgroup analysis. Predictors for QOL at follow-up were analyzed by regression model. Results: Immediate angiography after surgery showed complete VADA obliteration in 57 (81.4%) patients and partial obliteration in 13 (18.6%) patients. Three (4.3%) cases suffered from perioperative complications, comprising two cases of stent thrombosis in the hemorrhagic group and one case of posterior inferior cerebellar artery occlusion in the ischemic group. Twenty-five (75.8%) patients in the hemorrhagic group and 30 (81.1%) patients in the ischemic group had a favorable outcome (mRS scoring 0-2) at 6-month follow-up. Follow-up angiography displayed that one case of recurrence occurred separately in both groups. Fifteen of the 33 hemorrhagic patients (45.5%) and 19 of the 37 ischemic patients (51.4%) rated QOL at follow-up as bad (SS-QOL score ≤ 3.9) despite a good functional outcome. Severity of neurological disorder and impaired neurocognition at baseline in VADA patients are proved to be independent predictors for the decline of QOL according to regression analysis. Conclusion: Reconstructive endovascular therapy for acute intracranial VADAs is a safe and effective method with a low complication rate. VADAs lead to impaired QOL at 6-month follow-up, which is attributable to multiple factors. This study demonstrated that neurological and cognitive status at baseline is of significant importance for QOL after VADAs.
Collapse
Affiliation(s)
- Lu Gao
- Department of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Heifei, China
| | - Yu Qian
- Department of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Heifei, China
| | - Jing Luo
- Department of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Heifei, China
| | - Yang Hong
- Department of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Heifei, China
| | - Yangchun Hu
- Department of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Heifei, China
| | - Hongwei Cheng
- Department of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Heifei, China
| | - Baochun Cheng
- Department of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Heifei, China
| |
Collapse
|