1
|
Berli S, Barbagallo M, Keller E, Esposito G, Pagnamenta A, Brandi G. Sex-Related Differences in Mortality, Delayed Cerebral Ischemia, and Functional Outcomes in Patients with Aneurysmal Subarachnoid Hemorrhage: A Systematic Review and Meta-Analysis. J Clin Med 2024; 13:2781. [PMID: 38792323 PMCID: PMC11122382 DOI: 10.3390/jcm13102781] [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: 04/16/2024] [Revised: 04/30/2024] [Accepted: 05/06/2024] [Indexed: 05/26/2024] Open
Abstract
Background/Objective: Sex-related differences among patients with aneurysmal subarachnoid hemorrhage (aSAH) and their potential clinical implications have been insufficiently investigated. To address this knowledge gap, we conduct a comprehensive systematic review and meta-analysis. Methods: Sex-specific differences in patients with aSAH, including mortality, delayed cerebral ischemia (DCI), and functional outcomes were assessed. The functional outcome was dichotomized into favorable or unfavorable based on the modified Rankin Scale (mRS), Glasgow Outcome Scale (GOS), and Glasgow Outcome Scale Extended (GOSE). Results: Overall, 2823 studies were identified in EMBASE, MEDLINE, PubMed, and by manual search on 14 February 2024. After an initial assessment, 74 studies were included in the meta-analysis. In the analysis of mortality, including 18,534 aSAH patients, no statistically significant differences could be detected (risk ratio (RR) 0.99; 95% CI, 0.90-1.09; p = 0.91). In contrast, the risk analysis for DCI, including 23,864 aSAH patients, showed an 11% relative risk reduction in DCI in males versus females (RR, 0.89; 95% CI, 0.81-0.97; p = 0.01). The functional outcome analysis (favorable vs. unfavorable), including 7739 aSAH patients, showed a tendency towards better functional outcomes in men than women; however, this did not reach statistical significance (RR, 1.02; 95% CI, 0.98-1.07; p = 0.34). Conclusions: In conclusion, the available data suggest that sex/gender may play a significant role in the risk of DCI in patients with aSAH, emphasizing the need for sex-specific management strategies.
Collapse
Affiliation(s)
- Sarah Berli
- Faculty of Medicine, University of Zurich, 8032 Zurich, Switzerland
- Neurocritical Care Unit, Department of Neurosurgery, Institute for Intensive Care Medicine, University Hospital Zurich, 8091 Zurich, Switzerland
| | - Massimo Barbagallo
- Neurocritical Care Unit, Department of Neurosurgery, Institute for Intensive Care Medicine, University Hospital Zurich, 8091 Zurich, Switzerland
| | - Emanuela Keller
- Faculty of Medicine, University of Zurich, 8032 Zurich, Switzerland
- Neurocritical Care Unit, Department of Neurosurgery, Institute for Intensive Care Medicine, University Hospital Zurich, 8091 Zurich, Switzerland
- Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, 8091 Zurich, Switzerland
| | - Giuseppe Esposito
- Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, 8091 Zurich, Switzerland
- Department of Neurosurgery, University Hospital Zurich, 8091 Zurich, Switzerland
| | - Alberto Pagnamenta
- Clinical Trial Unit, Ente Ospedaliero Cantonale, 6900 Lugano, Switzerland
- Department of Intensive Care, Ente Ospedaliero Cantonale, 6900 Lugano, Switzerland
- Division of Pneumology, University of Geneva, 1211 Geneva, Switzerland
| | - Giovanna Brandi
- Faculty of Medicine, University of Zurich, 8032 Zurich, Switzerland
- Neurocritical Care Unit, Department of Neurosurgery, Institute for Intensive Care Medicine, University Hospital Zurich, 8091 Zurich, Switzerland
| |
Collapse
|
2
|
Miao G, Cai Z, He X, Yang J, Zhang Y, Ma A, Zhao X, Tan M. Development of a predictive nomogram for 28-day mortality risk in non-traumatic or post-traumatic subarachnoid hemorrhage patients. Neurol Sci 2024; 45:2149-2163. [PMID: 37994964 DOI: 10.1007/s10072-023-07199-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 11/08/2023] [Indexed: 11/24/2023]
Abstract
OBJECTIVE Subarachnoid hemorrhage (SAH) is associated with high rates of mortality and permanent disability. At present, there are few definite clinical tools to predict prognosis in SAH patients. The current study aims to develop and assess a predictive nomogram model for estimating the 28-day mortality risk in both non-traumatic or post-traumatic SAH patients. METHODS The MIMIC-III database was searched to select patients with SAH based on ICD-9 codes. Patients were separated into non-traumatic and post-traumatic SAH groups. Using LASSO regression analysis, we identified independent risk factors associated with 28-day mortality and incorporated them into nomogram models. The performance of each nomogram was assessed by calculating various metrics, including the area under the curve (AUC), net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA). RESULTS The study included 999 patients with SAH, with 631 in the non-traumatic group and 368 in the post-traumatic group. Logistic regression analysis revealed critical independent risk factors for 28-day mortality in non-traumatic SAH patients, including gender, age, glucose, platelet, sodium, BUN, WBC, PTT, urine output, SpO2, and heart rate and age, glucose, PTT, urine output, and body temperature for post-traumatic SAH patients. The prognostic nomograms outperformed the commonly used SAPSII and APSIII systems, as evidenced by superior AUC, NRI, IDI, and DCA results. CONCLUSION The study identified independent risk factors associated with the 28-day mortality risk and developed predictive nomogram models for both non-traumatic and post-traumatic SAH patients. The nomogram holds promise in guiding prognosis improvement strategies for patients with SAH.
Collapse
Affiliation(s)
- Guiqiang Miao
- Department of Orthopedics, Foshan Fosun Chancheng Hospital, Foshan, 528010, China
| | - Zhenbin Cai
- Department of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Xin He
- Clinical Laboratory Center, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Jie Yang
- Department of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Yunlong Zhang
- Department of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Ao Ma
- Department of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Xiaodong Zhao
- Department of Orthopedics, Foshan Fosun Chancheng Hospital, Foshan, 528010, China.
| | - Minghui Tan
- Department of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China.
| |
Collapse
|
3
|
Luo Y, Zhao J. The dynamic changes of peripheral blood cell counts predict the clinical outcomes of aneurysmal subarachnoid hemorrhage. Heliyon 2024; 10:e29763. [PMID: 38681624 PMCID: PMC11053216 DOI: 10.1016/j.heliyon.2024.e29763] [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: 09/08/2023] [Revised: 04/12/2024] [Accepted: 04/15/2024] [Indexed: 05/01/2024] Open
Abstract
Background Aneurysmal subarachnoid hemorrhage (aSAH) is a serious type of hemorrhagic stroke. It is very important to predict the prognosis at early phase. In this work, we intend to characterize early changes in peripheral blood cells after aSAH and explore the association between peripheral blood cells and clinical outcomes after aSAH. Methods aSAH patients admitted between December 2019 and September 2022 were enrolled. A retrospective observational study was performed. Total leukocytes, monocytes, neutrophils, erythrocytes, lymphocytes and platelets counts were recorded on the day of admission (day 1), day 3, day 5 and day 7. Statistical tests included Chi-square test, analysis of variance and multivariate logistic regression (MLR) models. 197 patients were analyzed. Results Leukocytes and neutrophils were higher in poor outcome groups from day 1 to day 7 and in delayed cerebral ischemia (DCI) groups from day 3 to day 7. Lymphocytes were higher at day 5 and day 7 in good outcome groups and no DCI groups. Neutrophil-to-lymphocyte ratio (NLR) was lower from day 3 to day 7 in good outcome groups and no DCI groups. Erythrocytes were higher from day 3 to day 7 in good outcome groups and no DCI groups. Lymphocytes were negatively related to poor outcomes on day 1 (OR = 0.457), indicating higher lymphocytes predicted good outcomes, Neutrophils were positively related to poor outcomes on day 3 (OR = 3.003) indicating higher neutrophils predicted poor outcomes. Lymphocytes were negatively related to DCI on day 5 (OR = 0.388) indicating higher lymphocytes predicted no DCI, Erythrocytes were negatively related to DCI on day 5 (OR = 0.335) and day 7 (OR = 0.204) indicating higher erythrocytes predicted no DCI. The improved ability of neutrophils, lymphocytes and erythrocytes to predict DCI or poor functional outcomes were revealed by ROC curve analysis. Conclusions The dynamic changes of peripheral blood cell counts were related to poor functional outcomes and DCI after aSAH. Elevated neutrophils, leukocytes, NLR, and decreased lymphocytes, erythrocytes were accompanied by DCI and poor outcome. Neutrophils, lymphocytes and erythrocytes counts could be beneficial to predict DCI and outcomes after aSAH.
Collapse
Affiliation(s)
- Yi Luo
- Department of Neurology, The First People's Hospital of Jing Zhou, The First Affiliated Hospital of Yangtze University, Jing zhou, 434000, China
- Department of Stroke Center, The First People's Hospital of Jing Zhou, The First Affiliated Hospital of Yangtze University, Jing zhou, 434000, China
| | - Jian Zhao
- Department of Neurosurgery, The First People's Hospital of Jing Zhou, The First Affiliated Hospital of Yangtze University, Jing zhou, 434000, China
- Department of Stroke Center, The First People's Hospital of Jing Zhou, The First Affiliated Hospital of Yangtze University, Jing zhou, 434000, China
| |
Collapse
|
4
|
Li K, Khan D, Fischer I, Hänggi D, Cornelius JF, Muhammad S. CLR (C-Reactive Protein to Lymphocyte Ratio) Served as a Promising Predictive Biomarker for Cerebral Vasospasm in Aneurysmal Subarachnoid Hemorrhage (aSAH): A Retrospective Cohort Study. J Clin Med 2024; 13:940. [PMID: 38398254 PMCID: PMC10889261 DOI: 10.3390/jcm13040940] [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: 12/22/2023] [Revised: 01/30/2024] [Accepted: 02/04/2024] [Indexed: 02/25/2024] Open
Abstract
Background: Subarachnoid hemorrhage is a devastating disease. Even after state-of-the-art treatment patients suffer from complications, including cerebral vasospasm (CVS), delayed cerebral ischemia (DCI), and chronic hydrocephalus (CH) following aneurysmal subarachnoid hemorrhage (aSAH). The aim of our study is to identify the predictive value of the C-reactive protein to lymphocyte ratio (CLR) for neurological functional outcome and complications after aSAH. Methods: We retrospectively analyzed a total of 166 aSAH patients who met the inclusion criteria enrolled in our study. Multivariate logistic regression analyses were performed to evaluate the independent risk factors. The predictive value of different models was compared by calculating the areas under the receiver operating characteristic (ROC) curve. Results: On-admission levels of CLR in patients with poor outcomes (6 months mRS 3-6), CVS, DCI, and CH were significantly higher than those in patients with good outcomes (6 months mRS 0-2), non-CVS, non-DCI, and non-CH. Multivariate logistic regression analysis revealed that admission CLR was independently associated with CVS (OR [95% CI] 2.116 [1.507-2.971]; p < 0.001), and DCI (OR [95% CI] 1.594 [1.220-2.084]; p = 0.001). In ROC analysis, the area under the curve (AUC) of CLR for poor outcomes (6 months mRS 3-6), CVS, DCI, and CH prediction were (AUC [95% CI] 0.639 [0.555-0.724]; p = 0.002), (AUC [95% CI] 0.834 [0.767-0.901]; p < 0.001), (AUC [95% CI] 0.679 [0.581-0.777]; p < 0.001), and (AUC [95% CI] 0.628 [0.543-0.713]; p = 0.005) revealing that admission CLR had a favorable predictive value for CVS after aSAH. The sensitivity and specificity of admission CLR for CVS prediction were 77.1% and 75.4%. On-admission CLR of 0.757 mg × 10-6 was identified as the best cutoff threshold to discriminate between CVS and non-CVS (CVS: CLR < 0.757 mg × 10-6 11/100 [11.0%] vs. CLR ≥ 0.757 mg × 10-6 37/66 [56.1%]; p < 0.001). Conclusions: High levels of on-admission CLR serve as an independent risk factor for CVS and DCI after aSAH. Admission CLR is an easy-to-quantify laboratory parameter that efficiently predicts the CVS after aSAH, which can provide some guidance for clinicians to evaluate for possible progression and treatment strategies in patients with aSAH.
Collapse
Affiliation(s)
- Ke Li
- Department of Neurosurgery, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany
| | - Dilaware Khan
- Department of Neurosurgery, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany
| | - Igor Fischer
- Department of Neurosurgery, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany
| | - Daniel Hänggi
- Department of Neurosurgery, King Edward Medical University, Lahore 54000, Pakistan
- Department of Neurosurgery, International Neuroscience Institute, 30625 Hannover, Germany
| | - Jan F. Cornelius
- Department of Neurosurgery, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany
| | - Sajjad Muhammad
- Department of Neurosurgery, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany
- Department of Neurosurgery, King Edward Medical University, Lahore 54000, Pakistan
- Department of Neurosurgery, University of Helsinki, Helsinki University Hospital, 00290 Helsinki, Finland
| |
Collapse
|
5
|
Jia Y, Lin F, Li R, Chen Y, Yang J, Han H, Wang K, Yuan K, Zhao Y, Lu J, Li T, Nie Z, Zhou Y, Shi G, Li Y, Zhao Y, Chen X, Wang S. Insular cortex Hounsfield units predict postoperative neurocardiogenic injury in patients with aneurysmal subarachnoid hemorrhage. Ann Clin Transl Neurol 2023; 10:2373-2385. [PMID: 37853930 PMCID: PMC10723248 DOI: 10.1002/acn3.51926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 08/20/2023] [Accepted: 10/02/2023] [Indexed: 10/20/2023] Open
Abstract
OBJECTIVE Our study aims to investigate the association between the Hounsfield unit (Hu) value of the insular cortex (IC) during emergency admission and the subsequent occurrence of post-operative neurocardiogenic injury (NCI) among patients afflicted with aneurysmal subarachnoid hemorrhage (aSAH). METHODS Patients baseline characteristics were juxtaposed between those with and without NCI. The significant variables were incorporated into a multivariable stepwise logistic regression model. Receiver operating characteristic (ROC) curves were drafted for each significant variable, yielding cutoff values and the area under the curve (AUC). Subgroup and sensitivity analyses were performed to assess the predictive performance across various cohorts and ascertain result stability. Propensity score matching (PSM) was ultimately employed to redress any baseline characteristic disparities. RESULTS Patients displaying a right IC Hu value surpassing 28.65 exhibited an escalated risk of postoperative NCI upon confounder adjustment (p < 0.001). The ROC curve eloquently manifested the predictive capacity of right IC Hu in relation to NCI (AUC = 0.650, 95%CI, 0.591-0.709, p < 0.001). Further subgroup analysis revealed significant interactions between right IC Hu and factors such as age, history of heart disease, and Graeb 5-12 score. Sensitivity analysis further upheld the results' significant (p = 0.002). The discrepancy in NCI incidence between the two groups, both prior (p < 0.002) and post (p = 0.039) PSM, exhibited statistical significance. After PSM implementation, the likelihood of NCI displayed an ascending trend with increasing right IC Hu values, from the Hu1 cohort onward, receding post the Hu4 cohort. CONCLUSION This study definitively establishes an elevated right IC Hu value in the early stages of emergency admission as an autonomous predictor for ensuing NCI subsequent to aSAH.
Collapse
Affiliation(s)
- Yitong Jia
- Department of NeurosurgeryBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of Stroke, Beijing Institute for Brain DisordersBeijingChina
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular DiseaseBeijingChina
| | - Fa Lin
- Department of NeurosurgeryBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of Stroke, Beijing Institute for Brain DisordersBeijingChina
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular DiseaseBeijingChina
| | - Runting Li
- Department of NeurosurgeryBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of Stroke, Beijing Institute for Brain DisordersBeijingChina
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular DiseaseBeijingChina
| | - Yu Chen
- Department of NeurosurgeryBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of Stroke, Beijing Institute for Brain DisordersBeijingChina
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular DiseaseBeijingChina
| | - Jun Yang
- Department of NeurosurgeryBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of Stroke, Beijing Institute for Brain DisordersBeijingChina
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular DiseaseBeijingChina
| | - Heze Han
- Department of NeurosurgeryBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of Stroke, Beijing Institute for Brain DisordersBeijingChina
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular DiseaseBeijingChina
| | - Ke Wang
- Department of NeurosurgeryBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of Stroke, Beijing Institute for Brain DisordersBeijingChina
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular DiseaseBeijingChina
| | - Kexin Yuan
- Department of NeurosurgeryBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of Stroke, Beijing Institute for Brain DisordersBeijingChina
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular DiseaseBeijingChina
| | - Yang Zhao
- Department of NeurosurgeryBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- Department of NeurosurgeryPeking University International HospitalBeijingChina
| | - Junlin Lu
- Department of NeurosurgeryWest China Hospital, Sichuan UniversitySichuanChina
| | - Tu Li
- Department of NeurosurgeryBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of Stroke, Beijing Institute for Brain DisordersBeijingChina
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular DiseaseBeijingChina
| | - Zhaobo Nie
- Department of NeurosurgeryBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- Beijing Shunyi HospitalShunyi Teaching Hospital of Capital Medical UniversityBeijingPeople's Republic of China
| | - Yunfan Zhou
- Department of NeurosurgeryBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of Stroke, Beijing Institute for Brain DisordersBeijingChina
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular DiseaseBeijingChina
| | - Guangzhi Shi
- Department of Critical Care MedicineBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
| | - Youxiang Li
- Department of NeurosurgeryBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
| | - Yuanli Zhao
- Department of NeurosurgeryBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of Stroke, Beijing Institute for Brain DisordersBeijingChina
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular DiseaseBeijingChina
| | - Xiaolin Chen
- Department of NeurosurgeryBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of Stroke, Beijing Institute for Brain DisordersBeijingChina
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular DiseaseBeijingChina
| | - Shuo Wang
- Department of NeurosurgeryBeijing Tiantan Hospital, Capital Medical UniversityBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Center of Stroke, Beijing Institute for Brain DisordersBeijingChina
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular DiseaseBeijingChina
| |
Collapse
|
6
|
Hu P, Yan T, Li Y, Guo G, Gao X, Su Z, Du S, Jin R, Tao J, Yuan Y, Yang X, Xiao B, Wu M, Ye M, Lv S, Liao J, Chen Q, Zhu X. Effect of Surgical Clipping versus Endovascular Coiling on the Incidence of Delayed Cerebral Ischemia in Patients with Aneurysmal Subarachnoid Hemorrhage: A Multicenter Observational Cohort Study with Propensity Score Matching. World Neurosurg 2023; 172:e378-e388. [PMID: 36657714 DOI: 10.1016/j.wneu.2023.01.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 01/10/2023] [Indexed: 01/18/2023]
Abstract
OBJECTIVE The effect of surgical clipping (SC) and endovascular coiling (EC) on the incidence of delayed cerebral ischemia (DCI) in patients with aneurysmal subarachnoid hemorrhage (aSAH) has always been a controversial topic. Hence, it is necessary to reanalyze the effects of the 2 surgical methods on DCI, which determines the choice of the most favorable method for patients who are suitable for both surgical modalities. METHODS A multicenter retrospective observational cohort study was performed to evaluate all consecutive patients with aSAH admitted to 5 medical centers in China between April 2019 and June 2021. Univariable and multivariable analyses were used to confirm risk factors of DCI after aSAH. A 1:1 propensity score matching model was generated in the EC and SC groups to reduce the influence of all confounding factors on DCI. RESULTS A total of 412 patients were included, and 115 patients (27.9%) developed DCI. After propensity score matching for controlling demographic information, past medical history, admission clinical status, aneurysm characteristics, and inflammatory factors associated with DCI, 133 patients with SC and 133 patients with EC treatment were matched. The results of the matched cohorts indicate a significantly lower incidence of DCI when patients received EC than SC (31.9% vs. 20%; adjusted odds ratio, 1.87; 95% confidence interval, 1.08-3.29; P = 0.027). CONCLUSIONS The study found that the patients who received SC treatment had a higher incidence of DCI than did those who received EC and suggested that ruptured intracerebral aneurysm is preferentially coiled rather than clipped if the aneurysm is suitable for both surgical modalities.
Collapse
Affiliation(s)
- Ping Hu
- Department of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China; Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang, Jiangxi, China; Jiangxi Health Commission Key Laboratory of Neurological Medicine, Nanchang, Jiangxi, China; Institute of Neuroscience, Nanchang University, Nanchang, Jiangxi, China
| | - Tengfeng Yan
- Department of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China; Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang, Jiangxi, China; Jiangxi Health Commission Key Laboratory of Neurological Medicine, Nanchang, Jiangxi, China; Institute of Neuroscience, Nanchang University, Nanchang, Jiangxi, China
| | - Yuntao Li
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Geng Guo
- Department of Neurosurgery, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Xu Gao
- Department of Neurosurgery, General Hospital of Northern Theater Command, Shenyang, China
| | - Zhongzhou Su
- Department of Neurosurgery, Huzhou Central Hospital, Huzhou, Zhejiang, China
| | - Senlin Du
- Department of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Ruiyun Jin
- Department of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Jiarong Tao
- Department of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Ye Yuan
- Department of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Xinlei Yang
- Department of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Bing Xiao
- Department of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Miaojing Wu
- Department of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Minhua Ye
- Department of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Shigang Lv
- Department of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Jianmin Liao
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Qianxue Chen
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Xingen Zhu
- Department of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China; Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang, Jiangxi, China; Jiangxi Health Commission Key Laboratory of Neurological Medicine, Nanchang, Jiangxi, China; Institute of Neuroscience, Nanchang University, Nanchang, Jiangxi, China.
| |
Collapse
|
7
|
Li R, Lin F, Chen Y, Lu J, Han H, Ma L, Zhao Y, Yan D, Li R, Yang J, He S, Li Z, Zhang H, Yuan K, Wang K, Hao Q, Ye X, Wang H, Li H, Zhang L, Shi G, Zhou J, Zhao Y, Zhang Y, Li Y, Wang S, Chen X, Zhao Y. A 90-Day Prognostic Model Based on the Early Brain Injury Indicators after Aneurysmal Subarachnoid Hemorrhage: the TAPS Score. Transl Stroke Res 2023; 14:200-210. [PMID: 35567655 DOI: 10.1007/s12975-022-01033-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 04/17/2022] [Accepted: 05/06/2022] [Indexed: 12/11/2022]
Abstract
This study aimed to establish a new scoring model based on the early brain injury (EBI) indicators to predict the 90-day functional outcomes in patients with aneurysmal subarachnoid hemorrhage (aSAH). We retrospectively enrolled 825 patients and prospectively enrolled 108 patients with aSAH who underwent surgical clipping or endovascular coiling (derivation cohort = 640; validation cohort = 185; prospective cohort = 108) in our institute. We established a logistic regression model based on independent risk factors associated with 90-day unfavorable outcomes. The discrimination of the prognostic model was assessed by the area under the curve in a receiver operating characteristic curve analysis. The Hosmer-Lemeshow goodness-of-fit test and a calibration plot were used to evaluate the calibration of the prediction model. The developed scoring model named "TAPS" (total score, 0-7 points) included the following admission variables: age > 55 years old, WFNS grade of 4-5, mFS grade of 3-4, Graeb score of 5-12, white blood cell count > 11.28 × 109/L, and surgical clipping. The model showed good discrimination with the area under the curve in the derivation, validation, and prospective cohorts which were 0.816 (p < 0.001, 95%CI = 0.77-0.86), 0.810 (p < 0.001, 95%CI = 0.73-0.90), and 0.803 (p < 0.001, 95%CI = 0.70-0.91), respectively. The model also demonstrated good calibration (Hosmer-Lemeshow goodness-of-fit test: X2 = 1.75, df = 8, p = 0.988). Compared with other predictive models, TAPS is an easy handle tool for predicting the 90-day unfavorable outcomes of aSAH patients, which can help clinicians better understand the concept of EBI and quickly identify those patients at risk of poor prognosis, providing more positive treatment strategies. Trial registration: NCT04785976. Registered 5 March 2021-retrospectively registered, http://www.clinicaltrials.gov .
Collapse
Affiliation(s)
- Runting Li
- Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, China
| | - Fa Lin
- Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, China
| | - Yu Chen
- Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, China
| | - Junlin Lu
- Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, China
| | - Heze Han
- Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, China
| | - Li Ma
- Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, China
| | - Yahui Zhao
- Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, China
| | - Debin Yan
- Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, China
| | - Ruinan Li
- Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, China
| | - Jun Yang
- Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, China
| | - Shihao He
- Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, China
| | - Zhipeng Li
- Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, China
| | - Haibin Zhang
- Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, China
| | - Kexin Yuan
- Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, China
| | - Ke Wang
- Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, China
| | - Qiang Hao
- Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, China
| | - Xun Ye
- Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, China
| | - Hao Wang
- Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, China
| | - Hongliang Li
- Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Linlin Zhang
- Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Guangzhi Shi
- Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jianxin Zhou
- Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yang Zhao
- Department of Neurosurgery, Peking University International Hospital, Beijing, China
| | - Yukun Zhang
- Department of Neurosurgery, Peking University International Hospital, Beijing, China
| | - Youxiang Li
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shuo Wang
- Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, 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
| | - Xiaolin Chen
- Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, 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, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, China.,Department of Neurosurgery, Peking University International Hospital, 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
| |
Collapse
|
8
|
Magoon R, Jose J. Can sodium be sidelined in SAH? Clin Neurol Neurosurg 2022; 215:107203. [DOI: 10.1016/j.clineuro.2022.107203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 03/07/2022] [Indexed: 11/16/2022]
|