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Nogueira J, Meireles B, Pereira R, Ribeiro P, Marques R, Afonso Filipe M, Coimbra F. Clinical Outcomes and Predictors of Poor Prognosis in Non-aneurysmal Subarachnoid Hemorrhage: A 10-Year Cohort Analysis. Cureus 2024; 16:e75596. [PMID: 39803087 PMCID: PMC11724691 DOI: 10.7759/cureus.75596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/12/2024] [Indexed: 01/16/2025] Open
Abstract
Introduction A large majority of spontaneous subarachnoid hemorrhages (SAH) are attributed to aneurysm rupture, though the cause remains unknown in a notable percentage of cases. Non-aneurysmal SAH (naSAH) is generally thought to follow a more benign clinical course than aneurysmal SAH (aSAH); however, similar complications may occur, and poor outcomes are still possible. Given the limited research on naSAH, this study aims to characterize these patients and correlate clinical and radiographic findings with outcomes. Methods A cohort of 149 patients with naSAH was selected from 2014 to 2023. Outcomes were assessed using the modified Rankin Scale (mRS), categorizing results as favorable (mRS 0-2) or unfavorable (mRS 3-6). Descriptive analysis was conducted, dividing the sample into two groups based on blood distribution on computed tomography scan: pretruncal (pnSAH) and non-pretruncal SAH (npnSAH). Associations between variables were tested, and a multivariable logistic regression was performed to identify significant predictors. Results The mean age was 57.54 years, with 79 males (53.0%) and 70 females (47.0%). A favorable outcome was observed in 133 patients (89.3%). Age, chronic hypertension, anticoagulant, and antiplatelet therapy were significant predictors of poor outcome (p < 0.05). A favorable World Federation of Neurosurgical Societies (WFNS) grade (I-III) was recorded in 88.6% of patients and was significantly associated with outcome (p < 0.05). Among the patients with unfavorable outcomes, 87.5% exhibited a npnSAH pattern. Rebleeding was rare, with only one case (0.7%). Acute hydrocephalus was the primary complication observed in naSAH cases (19.5%). Conclusions Patients with a npnSAH pattern were significantly more likely to experience unfavorable outcomes compared to those with a pnSAH pattern. In multivariate regression analysis, WFNS classification, bleeding pattern (pnSAH vs. npnSAH), and acute hydrocephalus were identified as independent predictors of poor outcomes.
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Affiliation(s)
| | - Bernardo Meireles
- Neurosurgery, Escola de Medicina da Universidade do Minho, Braga, PRT
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Lu G, Wang C, Zhao L, Shi H, Liu S. Clinical Outcomes of Diffuse Angiogram-Negative Subarachnoid Hemorrhage Versus Aneurysmal Subarachnoid Hemorrhage: A Propensity Score-Matched Analysis. J Am Heart Assoc 2024; 13:e031066. [PMID: 38156544 PMCID: PMC10863825 DOI: 10.1161/jaha.123.031066] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 11/28/2023] [Indexed: 12/30/2023]
Abstract
BACKGROUND The outcome of diffuse angiogram-negative subarachnoid hemorrhage (dan-SAH) compared with aneurysmal SAH (aSAH) remains unclear. This study aimed to compare outcomes using propensity score matching. METHODS AND RESULTS Sixty-five patients with dan-SAH and 857 patients with aSAH admitted between January 2018 and December 2022 were retrospectively reviewed. Propensity score matching resulted in matching 65 patients with dan-SAH to 260 patients with aSAH, and clinical outcomes were compared between the groups. Compared with patients with dan-SAH, patients with aSAH were more likely to experience rehemorrhage (8.8% versus 0%, P=0.027), death (11.2% versus 1.5%; odds ratios [OR] 8.04 [95% CI, 1.07-60.12]; P=0.042), or delayed cerebral ischemia (12.3% versus 3.1%; OR, 4.42 [95% CI, 1.03-18.95]; P=0.045). Multivariate analysis revealed that Hunt-Hess grade 4 to 5 (OR, 3.13 [95% CI, 2.11-4.64]; P<0.001), presence of intraventricular hemorrhage (OR, 3.58 [95% CI, 1.72-7.46]; P=0.001), and smoking (OR, 2.44 [95% CI, 1.12-5.28]; P=0.024) were independently associated with the incidence of unfavorable outcomes (modified Rankin scale score >2 at 3 months), whereas dan-SAH was not (OR, 0.66 [95% CI, 0.25-1.73]; P=0.40). CONCLUSIONS Compared with patients with dan-SAH, patients with aSAH had higher rehemorrhage rates and in-hospital mortality, as well as a higher incidence of delayed cerebral ischemia. Unfavorable outcomes were associated with admission Hunt-Hess grade, the presence of intravenetricular hemorrhage, and smoking history, but there was no relation with the pathogenesis of the hemorrhage (dan-SAH versus aSAH).
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Affiliation(s)
- Guang‐Dong Lu
- Department of Interventional RadiologyThe First Affiliated Hospital of Nanjing Medical UniversityNanjingJiangsuChina
| | - Cheng Wang
- Department of Interventional RadiologyThe First Affiliated Hospital of Nanjing Medical UniversityNanjingJiangsuChina
| | - Lin‐Bo Zhao
- Department of Interventional RadiologyThe First Affiliated Hospital of Nanjing Medical UniversityNanjingJiangsuChina
| | - Hai‐Bin Shi
- Department of Interventional RadiologyThe First Affiliated Hospital of Nanjing Medical UniversityNanjingJiangsuChina
| | - Sheng Liu
- Department of Interventional RadiologyThe First Affiliated Hospital of Nanjing Medical UniversityNanjingJiangsuChina
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Tarkiainen J, Hovi V, Pyysalo L, Ronkainen A, Frösen J. The clinical course and outcomes of non-aneurysmal subarachnoid hemorrhages in a single-center retrospective study. Acta Neurochir (Wien) 2023; 165:2843-2853. [PMID: 37659045 PMCID: PMC10542109 DOI: 10.1007/s00701-023-05767-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 08/17/2023] [Indexed: 09/05/2023]
Abstract
BACKGROUND Non-aneurysmal subarachnoid hemorrhages (SAHs) are thought to have a benign clinical course compared to aneurysmal SAHs. The aim of this study is to report the clinical course and outcomes of non-aneurysmal SAHs in a large single-center study. METHODS The patients with non-aneurysmal SAHs were screened from Tampere University Hospital from 2005 to 2020. The clinical data were collected from the patient's medical records and from the imaging studies. The primary interest was the neurological outcome assessed by dichotomized GOS at 2 months. Multivariable logistic regression was used to study the factors associated with unfavorable outcome. RESULTS We found 216 non-aneurysmal SAHs in 214 patients (2 patients with > 1 bleed). Ninety-seven percent of patients with a typical perimesencephalic bleeding pattern SAH (PSAH) (75/77) had a favorable outcome, while 86% of patients with non-perimesencephalic SAH (NPSAH) had a favorable outcome (84/98). In a multivariable logistic regression analysis, loss of consciousness (LOC) (aOR 214.67, 95% CI 17.62-2615.89) and Fisher grade 4 bleeding pattern (aOR 23.32, 95% CI 1.40-387.98) were associated with increased risk for unfavorable outcome (GOS 1-3). Vasospasm was seen in 20% of non-aneurysmal SAH patients, hydrocephalus in 17%, and 13% needed ventriculostomy. CONCLUSIONS Non-aneurysmal SAH seems to have a good prognosis for majority of patients, especially for patients with a PSAH. Non-aneurysmal SAH patients are however affected by vasospasm and hydrocephalus and have similar risk factors for poor outcome as patients with aneurysmal SAH. This suggests that it is the severity of the bleed rather than the etiology that associates with poor outcome.
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Affiliation(s)
- Jeremias Tarkiainen
- Department of Neurosurgery, Tampere University Hospital and University of Tampere, Tampere, Finland.
- Hemorrhagic Brain Pathology Research Group, Faculty of Medical Technology and Health Sciences, Tampere University, Tampere, Finland.
| | - Valtteri Hovi
- Department of Neurosurgery, Tampere University Hospital and University of Tampere, Tampere, Finland
- Hemorrhagic Brain Pathology Research Group, Faculty of Medical Technology and Health Sciences, Tampere University, Tampere, Finland
| | - Liisa Pyysalo
- Hemorrhagic Brain Pathology Research Group, Faculty of Medical Technology and Health Sciences, Tampere University, Tampere, Finland
- Department of Rehabilitation, Tampere University Hospital, Tampere, Finland
| | - Antti Ronkainen
- Department of Neurosurgery, Tampere University Hospital and University of Tampere, Tampere, Finland
| | - Juhana Frösen
- Department of Neurosurgery, Tampere University Hospital and University of Tampere, Tampere, Finland
- Hemorrhagic Brain Pathology Research Group, Faculty of Medical Technology and Health Sciences, Tampere University, Tampere, Finland
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Baumgartner K, Meyer A, Mandel D, Moody S, Wendell L, Thompson BB, Subramaniam T, Reznik ME, Furie KL, Mahta A. Radiographic predictors of aneurysmal etiology in patients with aneurysmal pattern subarachnoid hemorrhage. J Neurosurg 2022:1-7. [PMID: 36727566 DOI: 10.3171/2022.11.jns222192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Spontaneous angiogram-negative nonperimesencephalic subarachnoid hemorrhage (an-NPSAH) can represent a diagnostic and management dilemma. The authors sought to determine radiographic predictors of aneurysmal etiology based on admission noncontrast head CT scans. METHODS The authors performed a retrospective cohort study of prospectively collected data from consecutive patients who were admitted for spontaneous subarachnoid hemorrhage (SAH) with suspected aneurysmal etiology to an academic center from 2016 to 2021. They compared blood thickness in the basal cisterns and sylvian fissures and modified Graeb scores on admission head CT scans between the two groups and subsequently developed a predictive model to identify aneurysmal etiology. RESULTS Of 259 included patients (mean age 56 years [SD 12.7 years]; 55% female), 209 had aneurysmal SAH (aSAH) and 50 had an-NPSAH. The median modified Graeb scores were similar for aSAH and an-NPSAH (6 [IQR 2-10] vs 3.5 [IQR 0-8.5], p = 0.33). The mean blood thickness was greater in the sylvian fissure (p = 0.010) and interhemispheric cisterns (p = 0.002), and there was a greater median degree of extension of blood in the sylvian fissures (p = 0.001) in aSAH than in an-NPSAH patients, but the mean blood thickness was less in the prepontine cistern (p = 0.014). The authors' scoring model was constructed based on differences in radiographic features. Receiver operating characteristic curve analysis showed acceptable accuracy in predicting aneurysmal etiology (area under the curve 0.71, 95% CI 0.62-0.79). CONCLUSIONS There are differences in radiographic features on admission head CT between an-NPSAH and aSAH patients. The authors' proposed risk stratification model may be considered for further development and use in clinical practice in the future. ABBREVIATIONS an-NPSAH = angiogram-negative nonperimesencephalic SAH; aSAH = aneurysmal SAH; DSA = digital subtraction angiography; LOS = length of stay; NCHCT = noncontrast head CT; ROC = receiver operating characteristic; SAH = subarachnoid hemorrhage.
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Affiliation(s)
| | | | | | | | - Linda Wendell
- Division of Neurology, Mount Auburn Hospital, Cambridge, Massachusetts; and
| | - Bradford B. Thompson
- Departments of Neurology and
- Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Thanujaa Subramaniam
- Departments of Neurology and
- Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Michael E. Reznik
- Departments of Neurology and
- Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | | | - Ali Mahta
- Departments of Neurology and
- Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island
- Section of Medical Education, Warren Alpert Medical School of Brown University, Providence, Rhode Island
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Peng C, Yang F, Li L, Peng L, Yu J, Wang P, Jin Z. A Machine Learning Approach for the Prediction of Severe Acute Kidney Injury Following Traumatic Brain Injury. Neurocrit Care 2022; 38:335-344. [PMID: 36195818 DOI: 10.1007/s12028-022-01606-z] [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: 04/19/2022] [Accepted: 09/06/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Acute kidney injury (AKI), a prevalent non-neurological complication following traumatic brain injury (TBI), is a major clinical issue with an unfavorable prognosis. This study aimed to develop and validate machine learning models to predict severe AKI (stage 3 or greater) incidence in patients with TBI. METHODS A retrospective cohort study was conducted by using two public databases: the Medical Information Mart for Intensive Care IV (MIMIC)-IV and the eICU Collaborative Research Database (eICU-CRD). Recursive feature elimination was used to select candidate predictors obtained within 24 h of intensive care unit admission. The area under the curve and decision curve analysis curves were used to determine the discriminatory ability. On the other hand, the calibration curve was employed to evaluate the calibrated performance of the newly developed machine learning models. RESULTS In the MIMIC-IV database, there were 808 patients diagnosed with moderate and severe TBI (msTBI) (msTBI is defined as Glasgow Coma Score < 12). Of these, 60 (7.43%) patients experienced severe AKI. External validation in the eICU-CRD indicated that the random forest (RF) model had the highest area under the curve of 0.819 (95% confidence interval 0.783-0.851). Furthermore, in the calibration curve, the RF model was well calibrated (P = 0.795). CONCLUSIONS In this study, the RF model demonstrated better discrimination in predicting severe AKI than other models. An online calculator could facilitate its application, potentially improving the early detection of severe AKI and subsequently improving the clinical outcomes among patients with msTBI.
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Affiliation(s)
- Chi Peng
- Department of Health Statistics, Second Military Medical University, Shanghai, China
| | - Fan Yang
- Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University) and Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing, China
| | - Lulu Li
- Department of Orthopedics, Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Liwei Peng
- Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Jian Yu
- Department of Health Statistics, Second Military Medical University, Shanghai, China
| | - Peng Wang
- Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Zhichao Jin
- Department of Health Statistics, Second Military Medical University, Shanghai, China.
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Cerebral vasospasm due to aneurysmal and diffuse non-aneurysmal subarachnoid hemorrhage: A single center experience. INTERDISCIPLINARY NEUROSURGERY 2022. [DOI: 10.1016/j.inat.2021.101481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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Management of moderate to severe traumatic brain injury: an update for the intensivist. Intensive Care Med 2022; 48:649-666. [PMID: 35595999 DOI: 10.1007/s00134-022-06702-4] [Citation(s) in RCA: 92] [Impact Index Per Article: 30.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 04/09/2022] [Indexed: 01/04/2023]
Abstract
Traumatic brain injury (TBI) remains one of the most fatal and debilitating conditions in the world. Current clinical management in severe TBI patients is mainly concerned with reducing secondary insults and optimizing the balance between substrate delivery and consumption. Over the past decades, multimodality monitoring has become more widely available, and clinical management protocols have been published that recommend potential interventions to correct pathophysiological derangements. Even while evidence from randomized clinical trials is still lacking for many of the recommended interventions, these protocols and algorithms can be useful to define a clear standard of therapy where novel interventions can be added or be compared to. Over the past decade, more attention has been paid to holistic management, in which hemodynamic, respiratory, inflammatory or coagulation disturbances are detected and treated accordingly. Considerable variability with regards to the trajectories of recovery exists. Even while most of the recovery occurs in the first months after TBI, substantial changes may still occur in a later phase. Neuroprognostication is challenging in these patients, where a risk of self-fulfilling prophecies is a matter of concern. The present article provides a comprehensive and practical review of the current best practice in clinical management and long-term outcomes of moderate to severe TBI in adult patients admitted to the intensive care unit.
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