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Snow R, Shamshad A, Helliwell A, Wendell LC, Thompson BB, Furie KL, Reznik ME, Mahta A. Predictors of hospital length of stay and long-term care facility placement in aneurysmal subarachnoid hemorrhage. World Neurosurg X 2024; 22:100320. [PMID: 38440380 PMCID: PMC10911846 DOI: 10.1016/j.wnsx.2024.100320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 02/21/2024] [Indexed: 03/06/2024] Open
Abstract
Background Aneurysmal subarachnoid hemorrhage (aSAH) is frequently associated with complications, extended hospital length of stay (LOS) and high health care related costs. We sought to determine predictors for hospital LOS and discharge disposition to a long-term care facility (LTCF) in aSAH patients. Methods We performed a retrospective study of a prospectively collected cohort of consecutive patients with aSAH admitted to an academic referral center from 2016 to 2021. Multiple linear regression was performed to identify predictors for hospital LOS. We then created a 10-point scoring system to predict discharge disposition to a LTCF. Results In a cohort of 318 patients with confirmed aSAH, mean age was 57 years (SD 13.7), 61% were female and 70% were white. Hospital LOS was longer for survivors (median 19 days, IQR 14-25) than for non-survivors (median 5 days, IQR 2-8; p < 0.001). Main predictors for longer LOS for this cohort were ventriculoperitoneal shunt (VPS) requirement (p < 0.001), delayed cerebral ischemia (p = 0.026), and pneumonia (p = 0.014). The strongest predictor for LTCF disposition was age older than 60 years (OR 1.14, 95% CI 1.07-1.21; p < 0.001). LTCF score had high accuracy in predicting discharge disposition to a LTCF (area under the curve [AUC] 0.83; 95% CI 0.75-0.91). Forty-one percent of patients who were discharged to a LTCF had significant functional recovery at 3 months post-discharge. Conclusions VPS requirement and aSAH related complications were associated with longer hospital LOS compared to other factors. LTCF score has high accuracy in predicting discharge disposition to a LTCF.
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Affiliation(s)
- Ryan Snow
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Alizeh Shamshad
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Alexandra Helliwell
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Linda C. Wendell
- Division of Neurology, Mount Auburn Hospital, Cambridge, MA, USA
| | | | - Karen L. Furie
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Michael E. Reznik
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA
- Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Ali Mahta
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA
- Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA
- Section of Medical Education, Warren Alpert Medical School of Brown University, Providence, RI, USA
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Hwang DY, Bannon SM, Meurer K, Kubota R, Baskaran N, Kim J, Zhang Q, Reichman M, Fishbein NS, Lichstein K, Motta M, Muehlschlegel S, Reznik ME, Jaffa MN, Creutzfeldt CJ, Fehnel CR, Tomlinson AD, Williamson CA, Vranceanu AM. Thematic Analysis of Psychosocial Stressors and Adaptive Coping Strategies Among Informal Caregivers of Patients Surviving ICU Admission for Coma. Neurocrit Care 2024; 40:674-688. [PMID: 37523110 DOI: 10.1007/s12028-023-01804-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 07/10/2023] [Indexed: 08/01/2023]
Abstract
BACKGROUND Family caregivers of patients with severe acute brain injury (SABI) admitted to intensive care units (ICUs) with coma experience heightened emotional distress stemming from simultaneous stressors. Stress and coping frameworks can inform psychosocial intervention development by elucidating common challenges and ways of navigating such experiences but have yet to be employed with this population. The present study therefore sought to use a stress and coping framework to characterize the stressors and coping behaviors of family caregivers of patients with SABI hospitalized in ICUs and recovering after coma. METHODS Our qualitative study recruited a convenience sample from 14 US neuroscience ICUs. Participants were family caregivers of patients who were admitted with ischemic stroke, intracerebral hemorrhage, subarachnoid hemorrhage, traumatic brain injury, or hypoxic-ischemic encephalopathy; had experienced a comatose state for > 24 h; and completed or were scheduled for tracheostomy and/or gastrostomy tube placement. Participants were recruited < 7 days after transfer out of the neuroscience ICU. We conducted live online video interviews from May 2021 to January 2022. One semistructured interview per participant was recorded and subsequently transcribed. Recruitment was stopped when thematic saturation was reached. We deductively derived two domains using a stress and coping framework to guide thematic analysis. Within each domain, we inductively derived themes to comprehensively characterize caregivers' experiences. RESULTS We interviewed 30 caregivers. We identified 18 themes within the two theory-driven domains, including ten themes describing practical, social, and emotional stressors experienced by caregivers and eight themes describing the psychological and behavioral coping strategies that caregivers attempted to enact. Nearly all caregivers described using avoidance or distraction as an initial coping strategy to manage overwhelming emotions. Caregivers also expressed awareness of more adaptive strategies (e.g., cultivation of positive emotions, acceptance, self-education, and soliciting social and medical support) but had challenges employing them because of their heightened emotional distress. CONCLUSIONS In response to substantial stressors, family caregivers of patients with SABI attempted to enact various psychological and behavioral coping strategies. They described avoidance and distraction as less helpful than other coping strategies but had difficulty engaging in alternative strategies because of their emotional distress. These findings can directly inform the development of additional resources to mitigate the long-term impact of acute psychological distress among this caregiver population.
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Affiliation(s)
- David Y Hwang
- Division of Neurocritical Care, Department of Neurology, University of North Carolina School of Medicine, 170 Manning Drive, CB# 7025, Chapel Hill, NC, 27599-7025, USA.
| | - Sarah M Bannon
- Department of Psychiatry, Center for Health Outcomes and Interdisciplinary Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Kate Meurer
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Rina Kubota
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Nithyashri Baskaran
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Jisoo Kim
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Qiang Zhang
- David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, USA
| | - Mira Reichman
- Department of Psychology, University of Washington, Seattle, WA, USA
| | - Nathan S Fishbein
- Department of Psychiatry, Center for Health Outcomes and Interdisciplinary Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Kaitlyn Lichstein
- Department of Psychiatry, Center for Health Outcomes and Interdisciplinary Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Melissa Motta
- Program in Trauma, Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Susanne Muehlschlegel
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Michael E Reznik
- Department of Neurology, Alpert Medical School, Brown University, Providence, RI, USA
| | - Matthew N Jaffa
- Department of Neurointensive Care, Hartford Hospital, Hartford, CT, USA
| | - Claire J Creutzfeldt
- Department of Neurology, University of Washington and Harborview Medical Center, Seattle, WA, USA
| | - Corey R Fehnel
- Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Amanda D Tomlinson
- Department of Critical Care Medicine, College of Medicine, Mayo Clinic, Jacksonville, FL, USA
| | | | - Ana-Maria Vranceanu
- Department of Psychiatry, Center for Health Outcomes and Interdisciplinary Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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Haripottawekul A, Persad-Paisley EM, Paracha S, Haque D, Shamshad A, Furie KL, Reznik ME, Mahta A. Comparison of the Effects of Blood Pressure Parameters on Rebleeding and Outcomes in Unsecured Aneurysmal Subarachnoid Hemorrhage. World Neurosurg 2024:S1878-8750(24)00280-8. [PMID: 38382760 DOI: 10.1016/j.wneu.2024.02.078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 02/12/2024] [Accepted: 02/13/2024] [Indexed: 02/23/2024]
Abstract
BACKGROUND Elevated systolic blood pressure (SBP) has been linked to preprocedural rebleeding risk and poor outcome in patients with aneurysmal subarachnoid hemorrhage (aSAH). This study seeks to compare the effects of SBP and mean arterial pressure (MAP) on rebleeding and functional outcomes in aSAH patients. METHODS We performed a retrospective study of a prospectively collected cohort of consecutive patients with aSAH admitted to an academic center in 2016-2023. Binary regression analysis was used to determine the association between BP parameters and outcomes including rebleeding and poor outcome defined as modified Rankin Scale 4-6 at 3 months postdischarge. RESULTS The cohort included 324 patients (mean age 57 years [standard deviation 13.4], 61% female). Symptomatic rebleeding occurred in 34 patients (11%). Higher BP measurements were recorded in patients with rebleeding and poor outcome, however, only MAP met statistical significance for rebleeding (odds ratio {OR} 1.02 for 1 mmHg increase in MAP, 95% confidence interval {CI}: 1.001-1.03, P = 0.043; OR 1 per 1 mmHg increase in SBP, 95% CI 0.99-1.01; P = 0.06)) and for poor outcome (OR 1.01 for 1 mmHg increase in MAP, 95% CI: 1.002-1.025, P = 0.025; OR 1 for 1 mmHg increase in SBP, 95% CI: 0.99-1.02, P = 0.23) independent of other predictors. CONCLUSIONS MAP may appear to be slightly better correlated with rebleeding and poor outcomes in unsecured aSAH compared to SBP. Larger prospective studies are needed to identify and mitigate risk factors for rebleeding and poor outcome in aSAH patients.
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Affiliation(s)
- Ariyaporn Haripottawekul
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Elijah M Persad-Paisley
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Saba Paracha
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Deena Haque
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Alizeh Shamshad
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Karen L Furie
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Michael E Reznik
- Department of Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Ali Mahta
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA; Section of Medical Education, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.
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Shah VA, Hinson HE, Reznik ME, Hahn CD, Alexander S, Elmer J, Chou SHY. Common Data Elements for Disorders of Consciousness: Recommendations from the Working Group on Biospecimens and Biomarkers. Neurocrit Care 2024; 40:58-64. [PMID: 38087173 DOI: 10.1007/s12028-023-01883-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 10/18/2023] [Indexed: 02/15/2024]
Abstract
BACKGROUND In patients with disorders of consciousness (DoC), laboratory and molecular biomarkers may help define endotypes, identify therapeutic targets, prognosticate outcomes, and guide patient selection in clinical trials. We performed a systematic review to identify common data elements (CDEs) and key design elements (KDEs) for future coma and DoC research. METHODS The Curing Coma Campaign Biospecimens and Biomarkers work group, composed of seven invited members, reviewed existing biomarker and biospecimens CDEs and conducted a systematic literature review for laboratory and molecular biomarkers using predetermined search words and standardized methodology. Identified CDEs and KDEs were adjudicated into core, basic, supplemental, or experimental CDEs per National Institutes of Health classification based on level of evidence, reproducibility, and generalizability across different diseases through a consensus process. RESULTS Among existing National Institutes of Health CDEs, those developed for ischemic stroke, traumatic brain injury, and subarachnoid hemorrhage were most relevant to DoC and included. KDEs were common to all disease states and included biospecimen collection time points, baseline indicator, biological source, anatomical location of collection, collection method, and processing and storage methodology. Additionally, two disease core, nine basic, 24 supplemental, and 59 exploratory biomarker CDEs were identified. Results were summarized and generated into a Laboratory Data and Biospecimens Case Report Form (CRF) and underwent public review. A final CRF version 1.0 is reported here. CONCLUSIONS Exponential growth in biomarkers development has generated a growing number of potential experimental biomarkers associated with DoC, but few meet the quality, reproducibility, and generalizability criteria to be classified as core and basic biomarker and biospecimen CDEs. Identification and adaptation of KDEs, however, contribute to standardizing methodology to promote harmonization of future biomarker and biospecimens studies in DoC. Development of this CRF serves as a basic building block for future DoC studies.
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Affiliation(s)
- Vishank A Shah
- Departments of Anesthesiology and Critical Care Medicine, Neurology, Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - H E Hinson
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Michael E Reznik
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Cecil D Hahn
- Division of Neurology, Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Sheila Alexander
- School of Nursing, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jonathan Elmer
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Sherry H-Y Chou
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
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Reznik ME, Mintz N, Moody S, Drake J, Margolis SA, Rudolph JL, LaBuzetta JN, Kamdar BB, Jones RN. Rest-activity patterns associated with delirium in patients with intracerebral hemorrhage. J Neurol Sci 2023; 454:120823. [PMID: 37844360 DOI: 10.1016/j.jns.2023.120823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 09/29/2023] [Accepted: 10/02/2023] [Indexed: 10/18/2023]
Abstract
BACKGROUND Delirium is an acute cognitive disturbance frequently characterized by abnormal psychomotor activity and sleep-wake cycle disruption. However, the degree to which delirium affects activity patterns in the acute period after stroke is unclear. We aimed to examine these patterns in a cohort of patients with intracerebral hemorrhage (ICH). METHODS We enrolled 40 patients with intracerebral hemorrhage (ICH) who had daily DSM-5-based delirium assessments. Continuous activity measurements were captured using bilateral wrist actigraphs throughout each patient's admission. Activity data were collected in 1-min intervals, with "rest" defined as periods with zero activity. We compared differences in activity based on delirium status across multiple time intervals using multivariable models adjusted for age, ICH severity, and mechanical ventilation. RESULTS There were 279 days of actigraphy monitoring, of which 199 (71%) were rated as days with delirium. In multivariable analyses, delirium was associated with 98.4 (95% CI 10.4-186.4) fewer daily minutes of rest, including 5.3% (95% CI -0.1-10.1%) fewer minutes during daytime periods (06:00-21:59) and 10.2% (95% CI 1.9-18.4%) fewer minutes during nocturnal periods (22:00-5:59), with higher levels of activity across multiple individual hourly intervals (18:00-21:00, 23:00-03:00, and 04:00-08:00). These differences were even more pronounced in hyperactive or mixed delirium, although even hypoactive delirium was associated with more activity during multiple time periods. CONCLUSIONS Post-stroke delirium is associated with less rest and higher overall levels of activity, especially during nocturnal periods.
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Affiliation(s)
- Michael E Reznik
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, United States; Department of Neurosurgery, Brown University, Alpert Medical School, Providence, RI, United States.
| | - Noa Mintz
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, United States
| | - Scott Moody
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, United States
| | - Jonathan Drake
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, United States
| | - Seth A Margolis
- Department of Psychiatry and Human Behavior, Brown University, Alpert Medical School, Providence, RI, United States
| | - James L Rudolph
- Department of Medicine, Brown University, Alpert Medical School, Providence, RI, United States
| | - Jamie N LaBuzetta
- Department of Neurology, University of California, San Diego School of Medicine, San Diego, CA, United States
| | - Biren B Kamdar
- Division of Pulmonary, Critical Care and Sleep Medicine, University of California, San Diego School of Medicine, San Diego, CA, United States
| | - Richard N Jones
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, United States; Department of Psychiatry and Human Behavior, Brown University, Alpert Medical School, Providence, RI, United States
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Stretz C, Mahta A, Witsch J, Burton T, Yaghi S, Furie KL, Reznik ME. A reassessment of hemoglobin and hematoma expansion in intracerebral hemorrhage. J Stroke Cerebrovasc Dis 2023; 32:107339. [PMID: 37683527 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 08/14/2023] [Accepted: 08/31/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND In patients with spontaneous intracerebral hemorrhage (ICH), prior studies identified an increased risk of hematoma expansion (HE) in those with lower admission hemoglobin (Hgb) levels. We aimed to reproduce these findings in an independent cohort. METHODS We conducted a cohort study of patients admitted to a Comprehensive Stroke Center for acute ICH within 24 hours of onset. Admission laboratory and CT imaging data on ICH characteristics including HE (defined as >33% or >6 mL), and 3-month outcomes were collected. We compared laboratory data between patients with and without HE and used multivariable logistic regression to determine associations between Hgb, HE, and unfavorable 3-month outcomes (modified Rankin Scale 4-6) while adjusting for confounders including anticoagulant use, and laboratory markers of coagulopathy. RESULTS Among 345 patients in our cohort (mean [SD] age 72.9 [13.7], 49% male), 71 (21%) had HE. Patients with HE had similar Hgb versus those without HE (mean [SD] 13.1 [1.8] g/dl vs. 13.1 [1.9] g/dl, p=0.92). In fully adjusted multivariable models, Hgb was not associated with HE (OR per 1g/dl 1.01, 95% CI 0.86 -1.17, p = 0.94), however higher admission Hgb levels were associated with lower odds of unfavorable 3-month outcome (OR 0.83 per 1 g/dl Hgb, 95% CI 0.72-0.96, p=0.01). CONCLUSION We did not confirm a previously reported association between admission Hgb and HE in patients with ICH, although Hgb and HE were both associated with poor outcome. These findings suggest that the association between Hgb and poor outcome is mediated by other factors.
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Affiliation(s)
- Christoph Stretz
- Department of Neurology, The Warren Alpert Medical School of Brown University, Providence, RI.
| | - Ali Mahta
- Department of Neurology, The Warren Alpert Medical School of Brown University, Providence, RI; Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, RI
| | - Jens Witsch
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, PA
| | - Tina Burton
- Department of Neurology, The Warren Alpert Medical School of Brown University, Providence, RI
| | - Shadi Yaghi
- Department of Neurology, The Warren Alpert Medical School of Brown University, Providence, RI
| | - Karen L Furie
- Department of Neurology, The Warren Alpert Medical School of Brown University, Providence, RI
| | - Michael E Reznik
- Department of Neurology, The Warren Alpert Medical School of Brown University, Providence, RI; Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, RI
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7
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Meyer A, Forman E, Moody S, Stretz C, Potter NS, Subramaniam T, Top I, Wendell LC, Thompson BB, Reznik ME, Furie KL, Mahta A. Cisternal Score: A Radiographic Score to Predict Ventriculoperitoneal Shunt Requirement in Aneurysmal Subarachnoid Hemorrhage. Neurosurgery 2023; 93:75-83. [PMID: 36695607 DOI: 10.1227/neu.0000000000002374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 11/24/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Persistent hydrocephalus requiring a ventriculoperitoneal shunt (VPS) can complicate the management of aneurysmal subarachnoid hemorrhage (aSAH). Identification of high-risk patients may guide external ventricular drain management. OBJECTIVE To identify early radiographic predictors for persistent hydrocephalus requiring VPS placement. METHODS In a 2-center retrospective study, we compared radiographic features on admission noncontrast head computed tomography scans of patients with aSAH requiring a VPS to those who did not, at 2 referral academic centers from 2016 through 2021. We quantified blood clot thickness in the basal cisterns including interpeduncular, ambient, crural, prepontine, interhemispheric cisterns, and bilateral Sylvian fissures. We then created the cisternal score (CISCO) using features that were significantly different between groups. RESULTS We included 229 survivors (mean age 55.6 years [SD 13.1]; 63% female) of whom 50 (22%) required VPS. CISCO was greater in patients who required a VPS than those who did not (median 4, IQR 3-6 vs 2, IQR 1-4; P < .001). Higher CISCO was associated with higher odds of developing persistent hydrocephalus with VPS requirement (odds ratio 1.6 per point increase, 95% CI 1.34-1.9; P < .001), independent of age, Hunt and Hess grades, and modified GRAEB scores. CISCO had higher accuracy in predicting VPS requirement (area under the curve 0.75, 95% CI 0.68-0.82) compared with other predictors present on admission. CONCLUSION Cisternal blood clot quantification on admission noncontrast head computed tomography scan is feasible and can be used in predicting persistent hydrocephalus with VPS requirement in patients with aSAH. Future prospective studies are recommended to further validate this tool.
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Affiliation(s)
- Aiden Meyer
- Brown University, Providence, Rhode Island, USA
| | | | - Scott Moody
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- MGH Institute of Health Professions, Boston, Massachusetts, USA
| | - Christoph Stretz
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Nicholas S Potter
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Thanujaa Subramaniam
- Divisions of Neurocritical Care and Emergency Neurology, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Ilayda Top
- Divisions of Neurocritical Care and Emergency Neurology, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Linda C Wendell
- Division of Neurology, Mount Auburn Hospital, Cambridge, Massachusetts, USA
| | - Bradford B Thompson
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Michael E Reznik
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Karen L Furie
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Ali Mahta
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Section of Medical Education, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
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8
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Ahmed A, Garcia-Agundez A, Petrovic I, Radaei F, Fife J, Zhou J, Karas H, Moody S, Drake J, Jones RN, Eickhoff C, Reznik ME. Delirium detection using wearable sensors and machine learning in patients with intracerebral hemorrhage. Front Neurol 2023; 14:1135472. [PMID: 37360342 PMCID: PMC10288850 DOI: 10.3389/fneur.2023.1135472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 04/24/2023] [Indexed: 06/28/2023] Open
Abstract
Objective Delirium is associated with worse outcomes in patients with stroke and neurocritical illness, but delirium detection in these patients can be challenging with existing screening tools. To address this gap, we aimed to develop and evaluate machine learning models that detect episodes of post-stroke delirium based on data from wearable activity monitors in conjunction with stroke-related clinical features. Design Prospective observational cohort study. Setting Neurocritical Care and Stroke Units at an academic medical center. Patients We recruited 39 patients with moderate-to-severe acute intracerebral hemorrhage (ICH) and hemiparesis over a 1-year period [mean (SD) age 71.3 (12.20), 54% male, median (IQR) initial NIH Stroke Scale 14.5 (6), median (IQR) ICH score 2 (1)]. Measurements and main results Each patient received daily assessments for delirium by an attending neurologist, while activity data were recorded throughout each patient's hospitalization using wrist-worn actigraph devices (on both paretic and non-paretic arms). We compared the predictive accuracy of Random Forest, SVM and XGBoost machine learning methods in classifying daily delirium status using clinical information alone and combined with actigraph data. Among our study cohort, 85% of patients (n = 33) had at least one delirium episode, while 71% of monitoring days (n = 209) were rated as days with delirium. Clinical information alone had a low accuracy in detecting delirium on a day-to-day basis [accuracy mean (SD) 62% (18%), F1 score mean (SD) 50% (17%)]. Prediction performance improved significantly (p < 0.001) with the addition of actigraph data [accuracy mean (SD) 74% (10%), F1 score 65% (10%)]. Among actigraphy features, night-time actigraph data were especially relevant for classification accuracy. Conclusions We found that actigraphy in conjunction with machine learning models improves clinical detection of delirium in patients with stroke, thus paving the way to make actigraph-assisted predictions clinically actionable.
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Affiliation(s)
- Abdullah Ahmed
- Brown Center for Biomedical Informatics, Brown University, Providence, RI, United States
| | - Augusto Garcia-Agundez
- Brown Center for Biomedical Informatics, Brown University, Providence, RI, United States
- IMDEA Networks Institute, Madrid, Spain
| | - Ivana Petrovic
- Brown Center for Biomedical Informatics, Brown University, Providence, RI, United States
| | - Fatemeh Radaei
- Brown Center for Biomedical Informatics, Brown University, Providence, RI, United States
| | - James Fife
- Brown Center for Biomedical Informatics, Brown University, Providence, RI, United States
| | - John Zhou
- Brown Center for Biomedical Informatics, Brown University, Providence, RI, United States
| | - Hunter Karas
- Brown Center for Biomedical Informatics, Brown University, Providence, RI, United States
| | - Scott Moody
- Department of Neurology, Brown University, Providence, RI, United States
| | - Jonathan Drake
- Department of Neurology, Brown University, Providence, RI, United States
| | - Richard N. Jones
- Department of Psychiatry, Brown University, Providence, RI, United States
| | - Carsten Eickhoff
- Brown Center for Biomedical Informatics, Brown University, Providence, RI, United States
| | - Michael E. Reznik
- Department of Neurology, Brown University, Providence, RI, United States
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Reznik ME, Margolis SA, Moody S, Drake J, Tremont G, Furie KL, Mayer SA, Ely EW, Jones RN. A Pilot Study of the Fluctuating Mental Status Evaluation: A Novel Delirium Screening Tool for Neurocritical Care Patients. Neurocrit Care 2023; 38:388-394. [PMID: 36241773 PMCID: PMC10101875 DOI: 10.1007/s12028-022-01612-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 09/15/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Delirium occurs frequently in patients with stroke and neurocritical illness but is often underrecognized. We developed a novel delirium screening tool designed specifically for neurocritical care patients called the fluctuating mental status evaluation (FMSE) and aimed to test its usability and accuracy in a representative cohort of patients with intracerebral hemorrhage (ICH). METHODS We performed a single-center prospective study in a pilot cohort of patients with ICH who had daily delirium assessments throughout their admission. Reference-standard expert ratings were performed each afternoon using criteria from the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and were derived from bedside assessments and clinical data from the preceding 24 h. Paired FMSE assessments were performed by patients' clinical nurses after receiving brief one-on-one training from research staff. Nursing assessments were aggregated over 24-h periods (including day and night shifts), and accuracy of the FMSE was analyzed in patients who were not comatose to determine optimal scoring thresholds. RESULTS We enrolled 40 patients with ICH (mean age 71.1 ± 12.2, 55% male, median National Institutes of Health Stroke Scale score 16.5 [interquartile range 12-20]), of whom 85% (n = 34) experienced delirium during their hospitalization. Of 308 total coma-free days with paired assessments, 208 (68%) were rated by experts as days with delirium. Compared with expert ratings, FMSE scores ≥ 1 had 86% sensitivity and 73% specificity on a per-day basis, whereas FMSE scores ≥ 2 had 68% sensitivity and 82% specificity. Accuracy remained high in patients with aphasia (FMSE scores ≥ 1: 83% sensitivity, 77% specificity; FMSE scores ≥ 2: 68% sensitivity, 85% specificity) and decreased arousal (FMSE scores ≥ 1: 80% sensitivity, 100% specificity; FMSE scores ≥ 2: 73% sensitivity, 100% specificity). CONCLUSIONS In this pilot study, the FMSE achieved a high sensitivity and specificity in detecting delirium. Follow-up validation studies in a larger more diverse cohort of neurocritical care patients will use score cutoffs of ≥ 1 as "possible" delirium and ≥ 2 as "probable" delirium.
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Affiliation(s)
- Michael E Reznik
- Department of Neurology, Alpert Medical School, Brown University, Providence, RI, USA.
- Department of Neurosurgery, Alpert Medical School, Brown University, Providence, RI, USA.
| | - Seth A Margolis
- Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA
| | - Scott Moody
- Department of Neurology, Alpert Medical School, Brown University, Providence, RI, USA
| | - Jonathan Drake
- Department of Neurology, Alpert Medical School, Brown University, Providence, RI, USA
| | - Geoffrey Tremont
- Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA
| | - Karen L Furie
- Department of Neurology, Alpert Medical School, Brown University, Providence, RI, USA
| | - Stephan A Mayer
- Department of Neurology and Neurosurgery, New York Medical College and Westchester Medical Center, Valhalla, NY, USA
| | - E Wesley Ely
- Department of Medicine and Critical Illness, Brain Dysfunction, and Survivorship Center, Vanderbilt University Medical Center, Nashville, TN, USA
- Tennessee Valley Veterans Affairs Geriatric Research Education Clinical Center, Nashville, TN, USA
| | - Richard N Jones
- Department of Neurology, Alpert Medical School, Brown University, Providence, RI, USA
- Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA
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Reznik ME, Rudolph JL. "Yield" to the time-brain dilemma: The case for neuroimaging in delirium. J Am Geriatr Soc 2023; 71:700-701. [PMID: 36606371 DOI: 10.1111/jgs.18206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 12/08/2022] [Indexed: 01/07/2023]
Affiliation(s)
- Michael E Reznik
- Departments of Neurology (MER), Neurosurgery (MER), and Medicine (JLR), Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Center of Innovation in Long Term Services and Supports, Providence VAMC, Providence, Rhode Island, USA
| | - James L Rudolph
- Departments of Neurology (MER), Neurosurgery (MER), and Medicine (JLR), Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Center of Innovation in Long Term Services and Supports, Providence VAMC, Providence, Rhode Island, USA
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11
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Helliwell A, Snow R, Wendell LC, Thompson BB, Reznik ME, Furie KL, Mahta A. Highs and Lows: Dysnatremia and Patient Outcomes in Aneurysmal Subarachnoid Hemorrhage. World Neurosurg 2023; 173:e298-e305. [PMID: 36787854 DOI: 10.1016/j.wneu.2023.02.043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 02/06/2023] [Accepted: 02/07/2023] [Indexed: 02/14/2023]
Abstract
BACKGROUND Disturbances in serum sodium concentration (dysnatremia) are common following aneurysmal subarachnoid hemorrhage (aSAH), but its direct impact on outcomes is not well understood. This study aimed to examine the association between dysnatremia following aSAH and patient outcomes. METHODS A retrospective cohort study of consecutive patients with aSAH who were admitted to an academic referral center between 2015 and 2021 was performed. Multivariate logistic regression was used to test the association of dysnatremia and outcomes including modified Rankin Scale score at 3 months after discharge and vasospasm. Multiple linear regression was used to test the association of hospital length of stay and dysnatremia. RESULTS We included 320 patients with confirmed aneurysmal etiology (mean [SD] age = 57.8 [14.3] years; 61% female; 70% White). No independent associations were found between hyponatremia or hypernatremia and functional outcome or vasospasm. However, hospital length of stay was longer in patients with hypernatremia (7 more days; 95% confidence interval = 4.4-9.6, P < 0.001) independent of age, Hunt and Hess grade, modified Fisher score, delayed cerebral ischemia, and other hospital complications. CONCLUSIONS Although dysnatremia may not directly impact functional outcome or vasospasm risk, hypernatremia may prolong hospital length of stay. Judicious use of hypertonic saline solutions and avoidance of unnecessary dysnatremia in patients with aSAH should be considered.
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Affiliation(s)
- Alexandra Helliwell
- Department of Neurology, The Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Ryan Snow
- Department of Neurology, The Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Linda C Wendell
- Division of Neurology, Mount Auburn Hospital, Cambridge, Massachusetts, USA
| | - Bradford B Thompson
- Department of Neurology, St. Elizabeth's Medical Center, Brighton, Massachusetts, USA
| | - Michael E Reznik
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Karen L Furie
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Ali Mahta
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA; Section of Medical Education, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.
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12
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Shah AH, Snow R, Wendell LC, Thompson BB, Reznik ME, Furie KL, Mahta A. Association of hemoglobin trend and outcomes in aneurysmal subarachnoid hemorrhage: A single center cohort study. J Clin Neurosci 2023; 107:77-83. [PMID: 36521368 DOI: 10.1016/j.jocn.2022.12.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 11/12/2022] [Accepted: 12/08/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Anemia has been linked to delayed cerebral ischemia (DCI) and worse outcome in patients with aneurysmal subarachnoid hemorrhage (aSAH). However, the association of hemoglobin (Hb) trend and outcomes is not well studied. We investigated predictors of Hb trend and its association with outcomes in patients with aSAH. Our hypothesis was that a negative Hb trend is associated with poorer outcomes independent of Hb values. METHODS We conducted a retrospective study of a prospectively collected cohort of consecutive patients with aSAH who were admitted to an academic center (2016-2021). We tested the association of Hb trend and values with measures including DCI and poor functional outcome defined as modified Rankin scale 4-6 at 3 months after discharge. Multiple linear regression analysis was used to identify factors associated with Hb difference from admission to discharge. RESULTS We included 310 patients with confirmed aneurysmal etiology (mean age 57 years, SD13.6; 62 % female). Greater Hb decrement from admission to discharge was independently associated with higher likelihood of both DCI (OR 1.28 per 1 g/dl decrease in Hb, 95 % CI 1.08-1.47; p = 0.003) and poor functional outcome (OR 1.27 per 1 g/dl decrease in Hb, 1.03-1.53; p = 0.026) independent of any absolute Hb values. Predictors of Hb decrement from admission to discharge were hospital length of stay, Hunt and Hess grades, female sex and age. CONCLUSION Greater Hb decrement can be associated with higher likelihood of DCI and poor functional outcome in aSAH. More evidence is needed to use Hb trend to guide transfusion threshold in aSAH patients.
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Affiliation(s)
| | - Ryan Snow
- The Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Linda C Wendell
- Division of Neurology, Mount Auburn Hospital, Cambridge, MA, United States
| | - Bradford B Thompson
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Michael E Reznik
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Karen L Furie
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Ali Mahta
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States; Section of Medical Education, Warren Alpert Medical School of Brown University, Providence, RI, United States.
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13
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Mandel D, Moody S, Pan K, Subramaniam T, Thompson BB, Wendell LC, Reznik ME, Furie KL, Mahta A. A quantitative model to differentiate nonaneurysmal perimesencephalic subarachnoid hemorrhage from aneurysmal etiology. J Neurosurg 2023; 138:165-172. [PMID: 35523263 DOI: 10.3171/2022.3.jns22157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 03/21/2022] [Indexed: 01/07/2023]
Abstract
OBJECTIVE Nonaneurysmal perimesencephalic subarachnoid hemorrhage (pmSAH) is considered to have a lower-risk pattern than other types of subarachnoid hemorrhage (SAH). However, a minority of patients with pmSAH may harbor a causative posterior circulation aneurysm. To exclude this possibility, many institutions pursue exhaustive imaging. In this study the authors aimed to develop a novel predictive model based on initial noncontrast head CT (NCHCT) features to differentiate pmSAH from aneurysmal causes. METHODS The authors retrospectively reviewed patients admitted to an academic center for treatment of a suspected aneurysmal SAH (aSAH) during the period from 2016 to 2021. Patients with a final diagnosis of pmSAH or posterior circulation aSAH were included. Using NCHCT, the thickness (continuous variable) and location of blood in basal cisterns and sylvian fissures (categorical variables) were compared between groups. A scoring system was created using features that were significantly different between groups. Receiver operating characteristic curve analysis was used to measure the accuracy of this model in predicting aneurysmal etiology. A separate patient cohort was used for external validation of this model. RESULTS Of 420 SAH cases, 48 patients with pmSAH and 37 with posterior circulation aSAH were identified. Blood thickness measurements in the crural and ambient cisterns and interhemispheric and sylvian fissures and degree of extension into the sylvian fissure were all significantly different between groups (all p < 0.001). The authors developed a 10-point scoring model to predict aneurysmal causes with high accuracy (area under the curve [AUC] 0.99; 95% CI 0.98-1.00; OR per point increase 10; 95% CI 2.18-46.4). External validation resulted in persistently high accuracy (AUC 0.97; 95% CI 0.92-1.00) of this model. CONCLUSIONS A risk stratification score using initial blood clot burden may accurately differentiate between aneurysmal and nonaneurysmal pmSAH. Larger prospective studies are encouraged to further validate this quantitative tool.
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Affiliation(s)
- Daniel Mandel
- 1Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Scott Moody
- 1Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island.,2Department of Physician Assistant Studies, Massachusetts General Hospital Institute of Health Professions, Boston, Massachusetts
| | - Kelly Pan
- 3Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Thanujaa Subramaniam
- 4Department of Neurology, Yale University School of Medicine, New Haven, Connecticut
| | - Bradford B Thompson
- 1Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island.,5Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island; and
| | - Linda C Wendell
- 1Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island.,5Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island; and.,6Section of Medical Education, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Michael E Reznik
- 1Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island.,5Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island; and
| | - Karen L Furie
- 1Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Ali Mahta
- 1Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island.,5Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island; and.,6Section of Medical Education, Warren Alpert Medical School of Brown University, Providence, Rhode Island
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14
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Shu L, de Havenon A, Liberman AL, Henninger N, Goldstein E, Reznik ME, Mahta A, Al-Mufti F, Frontera J, Furie K, Yaghi S. Trends in Venous Thromboembolism Readmission Rates after Ischemic Stroke and Intracerebral Hemorrhage. J Stroke 2023; 25:151-159. [PMID: 36592970 PMCID: PMC9911841 DOI: 10.5853/jos.2022.02215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 09/08/2022] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND AND PURPOSE Venous thromboembolism (VTE) is a life-threatening complication of stroke. We evaluated nationwide rates and risk factors for hospital readmissions with VTE after an intracerebral hemorrhage (ICH) or acute ischemic stroke (AIS) hospitalization. METHODS Using the Healthcare Cost and Utilization Project (HCUP) Nationwide Readmission Database, we included patients with a principal discharge diagnosis of ICH or AIS from 2016 to 2019. Patients who had VTE diagnosis or history of VTE during the index admission were excluded. We performed Cox regression models to determine factors associated with VTE readmission, compared rates between AIS and ICH and developed post-stroke VTE risk score. We estimated VTE readmission rates per day over a 90-day time window post-discharge using linear splines. RESULTS Of the total 1,459,865 patients with stroke, readmission with VTE as the principal diagnosis within 90 days occurred in 0.26% (3,407/1,330,584) AIS and 0.65% (843/129,281) ICH patients. The rate of VTE readmission decreased within first 4-6 weeks (P<0.001). In AIS, cancer, obesity, higher National Institutes of Health Stroke Scale (NIHSS) score, longer hospital stay, home or rehabilitation disposition, and absence of atrial fibrillation were associated with VTE readmission. In ICH, longer hospital stay and rehabilitation disposition were associated with VTE readmission. The VTE rate was higher in ICH compared to AIS (adjusted hazard ratio 2.86, 95% confidence interval 1.93-4.25, P<0.001). CONCLUSIONS After stroke, VTE readmission risk is highest within the first 4-6 weeks and nearly three-fold higher after ICH vs. AIS. VTE risk is linked to decreased mobility and hypercoagulability. Studies are needed to test short-term VTE prophylaxis beyond hospitalization in high-risk patients.
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Affiliation(s)
- Liqi Shu
- Department of Neurology, Brown University, Providence, RI, USA
| | - Adam de Havenon
- Department of Neurology, Yale University, New Haven, CT, USA
| | - Ava L. Liberman
- Department of Neurology, Weill Cornell Medical Center, New York, NY, USA
| | - Nils Henninger
- Department of Neurology, University of Massachusetts, Worcester, MA, USA
- Department of Psychiatry, University of Massachusetts, Worcester, MA, USA
| | - Eric Goldstein
- Department of Neurology, Brown University, Providence, RI, USA
| | | | - Ali Mahta
- Department of Neurology, Brown University, Providence, RI, USA
| | - Fawaz Al-Mufti
- Department of Neurology, Westchester Medical Center, Valhalla, NY, USA
- Department of Neurosurgery, Westchester Medical Center, Valhalla, NY, USA
| | | | - Karen Furie
- Department of Neurology, Brown University, Providence, RI, USA
| | - Shadi Yaghi
- Department of Neurology, Brown University, Providence, RI, USA
- Correspondence: Shadi Yaghi Department of Neurology, Brown Medical School, 593 Eddy Street APC 5, Providence, RI, 02903, USA Tel: +1-401-444-8806 Fax: +1-401-444-8781 E-mail:
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15
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Shamshad A, Persad-Paisley EM, Wendell LC, Thompson BB, Reznik ME, Furie KL, Mahta A. Association of asymptomatic cerebral vasospasm with outcomes in survivors of aneurysmal subarachnoid hemorrhage. J Stroke Cerebrovasc Dis 2022; 31:106821. [DOI: 10.1016/j.jstrokecerebrovasdis.2022.106821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 09/20/2022] [Accepted: 10/03/2022] [Indexed: 11/21/2022] Open
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17
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Andere A, Jindal G, Molino J, Collins S, Merck D, Burton T, Stretz C, Yaghi S, Sacchetti DC, Jamal SE, Reznik ME, Furie K, Cutting S. Volumetric White Matter Hyperintensity Ranges Correspond to Fazekas Scores on Brain MRI. J Stroke Cerebrovasc Dis 2022; 31:106333. [PMID: 35158149 DOI: 10.1016/j.jstrokecerebrovasdis.2022.106333] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 01/13/2022] [Accepted: 01/18/2022] [Indexed: 02/08/2023] Open
Abstract
INTRODUCTION White matter hyperintensity (WMH) is an abnormal T2 signal in the deep and subcortical white matter visualized on MRI associated with hypertension, cerebrovascular disease, and aging. The Fazekas (Fz) scoring system is a commonly used qualitative tool to assess the severity of WMH. While studies have compared Fazekas scores to other scoring methods, the comparison of Fazekas scores and volume of WMH using current semiautomated volumetric techniques has not been studied. METHODS We reviewed MRI studies acquired at our institution between 2015 and 2017. Relative WMH was scored by one author trained in Fazekas scoring. A board certified neuroradiologist scored them independently for confirmation. Manual segmentations of WMH were completed using 3D Slicer 4.9. A 3D model was formed to quantify WMH in milliliters (mL). ANOVA tests were performed to determine the association of Fazekas scores with corresponding WMH volumes. RESULTS Among the 198 patients in our study, WMH were visualized in 163 (Fz1: n=66; Fz2: n=49; Fz3: n=48). WMH volumes significantly differed according to Fazekas score (F = 141.1, p<0.001), with increasing WMHV associated with higher Fazekas scores: Fz1, range 0.1-8.3 mL (mean 3.7, SD 2.3); Fz2, range 6.0-17.7 mL (mean 10.8, SD 3.1); Fz3, range 14.2-77.2 mL (mean 35.2, SD 17.9); and Fz3 (excluding 11 outliers above 50 mL), 14.2-47.0 mL (mean 27.1, SD 8.9). CONCLUSION Fazekas scores correspond with distinct ranges of WMH volume with relatively little overlap, but scores based on volumes are more efficacious. A modified Fazekas from 0-4 should be considered.
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Affiliation(s)
- Ariana Andere
- Department of Neurology, Brown University, Providence, RI, United States.
| | - Gaurav Jindal
- Department of Diagnostic Imaging, Rhode Island Hospital, Providence, RI, United States
| | - Janine Molino
- Department of Biostatistics, Rhode Island Hospital, Providence, RI, United States
| | - Scott Collins
- Department of Diagnostic Imaging, Rhode Island Hospital, Providence, RI, United States
| | - Derek Merck
- Department of Emergency Medicine, University of Florida, Gainesville, FL, United States
| | - Tina Burton
- Department of Neurology, Brown University, Providence, RI, United States
| | - Christoph Stretz
- Department of Neurology, Brown University, Providence, RI, United States
| | - Shadi Yaghi
- Department of Neurology, Brown University, Providence, RI, United States
| | - Daniel C Sacchetti
- Department of Neurology, Brown University, Providence, RI, United States
| | - Sleiman El Jamal
- Department of Neurology, Brown University, Providence, RI, United States
| | - Michael E Reznik
- Department of Neurology, Brown University, Providence, RI, United States
| | - Karen Furie
- Department of Neurology, Brown University, Providence, RI, United States
| | - Shawna Cutting
- Department of Neurology, Brown University, Providence, RI, United States
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Abstract
Patent foramen ovale (PFO) describes a valve in the interatrial septum that permits shunting of blood or thrombotic material between the atria. PFOs are present in approximately 25% of the healthy population and are not associated with any pathology in the vast majority of cases. However, comparisons between patients with stroke and healthy controls suggest that PFOs may be causative of stroke in certain patients whose stroke is otherwise cryptogenic. Options for the diagnosis of PFO include transthoracic echocardiography, transesophageal echocardiography, and transcranial Doppler ultrasonography. PFOs associated with an interatrial septal aneurysm seem to be more strongly linked to risk of recurrent stroke. Therapeutic options for secondary stroke prevention in the setting of a PFO include antiplatelet therapy, anticoagulation, and percutaneous device closure. Recent randomized clinical trials suggest that percutaneous closure reduces the subsequent risk of stroke in appropriately selected patients, with a large relative benefit but small absolute benefit. Referral for percutaneous PFO closure should therefore be considered in certain patients after a multidisciplinary, patient centered discussion. Areas for future study include structural biomarkers to aid in determining the role of PFO closure in older people with possible PFO associated stroke, the role of direct oral anticoagulants, and very long term outcomes after device closure.
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Affiliation(s)
- Brian Mac Grory
- Department of Neurology, Duke University School of Medicine, Durham, NC, USA
- Duke Clinical Research Institute, Durham, NC, USA
| | - E Magnus Ohman
- Duke Clinical Research Institute, Durham, NC, USA
- Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Wuwei Feng
- Department of Neurology, Duke University School of Medicine, Durham, NC, USA
| | - Ying Xian
- Department of Neurology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Shadi Yaghi
- Department of Neurology, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Hooman Kamel
- Department of Neurology, Weill Cornell Medicine, New York, NY, USA
| | - Michael E Reznik
- Department of Neurology, Warren Alpert Medical School of Brown University, Providence, RI, USA
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Reznik ME, Margolis SA, Mahta A, Wendell LC, Thompson BB, Stretz C, Rudolph JL, Boukrina O, Barrett AM, Daiello LA, Jones RN, Furie KL. Impact of Delirium on Outcomes After Intracerebral Hemorrhage. Stroke 2022; 53:505-513. [PMID: 34607468 PMCID: PMC8792195 DOI: 10.1161/strokeaha.120.034023] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
BACKGROUND AND PURPOSE Delirium portends worse outcomes after intracerebral hemorrhage (ICH), but it is unclear if symptom resolution or postacute care intensity may mitigate its impact. We aimed to explore differences in outcome associated with delirium resolution before hospital discharge, as well as the potential mediating role of postacute discharge site. METHODS We performed a single-center cohort study on consecutive ICH patients over 2 years. Delirium was diagnosed according to DSM-5 criteria and further classified as persistent or resolved based on delirium status at hospital discharge. We determined the impact of delirium on unfavorable 3-month outcome (modified Rankin Scale score, 4-6) using logistic regression models adjusted for established ICH predictors, then used mediation analysis to examine the indirect effect of delirium via postacute discharge site. RESULTS Of 590 patients (mean age 70.5±15.5 years, 52% male, 83% White), 59% (n=348) developed delirium during hospitalization. Older age and higher ICH severity were delirium risk factors, but only younger age predicted delirium resolution, which occurred in 75% (161/215) of ICH survivors who had delirium. Delirium was strongly associated with unfavorable outcome, but patients with persistent delirium fared worse (adjusted odds ratio [OR], 7.3 [95% CI, 3.3-16.3]) than those whose delirium resolved (adjusted OR, 3.1 [95% CI, 1.8-5.5]). Patients with delirium were less likely to be discharged to inpatient rehabilitation than skilled nursing facilities (adjusted OR, 0.31 [95% CI, 0.17-0.59]), and postacute care site partially mediated the relationship between delirium and functional outcome in ICH survivors, leading to a 25% reduction in the effect of delirium (without mediator: adjusted OR, 3.0 [95% CI, 1.7-5.6]; with mediator: adjusted OR, 2.3 [95% CI, 1.2-4.3]). CONCLUSIONS Acute delirium resolves in most patients with ICH by hospital discharge, which was associated with better outcomes than in patients with persistent delirium. The impact of delirium on outcomes may be further mitigated by postacute rehabilitation.
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Affiliation(s)
- Michael E Reznik
- Department of Neurology (M.E.R., A.M., L.C.W., B.B.T., C.S., L.A.D., R.N.J., K.L.F.), Brown University, Alpert Medical School, Providence, RI
- Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T.), Brown University, Alpert Medical School, Providence, RI
| | - Seth A Margolis
- Department of Psychiatry and Human Behavior (S.A.M., R.N.J.), Brown University, Alpert Medical School, Providence, RI
| | - Ali Mahta
- Department of Neurology (M.E.R., A.M., L.C.W., B.B.T., C.S., L.A.D., R.N.J., K.L.F.), Brown University, Alpert Medical School, Providence, RI
- Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T.), Brown University, Alpert Medical School, Providence, RI
| | - Linda C Wendell
- Department of Neurology (M.E.R., A.M., L.C.W., B.B.T., C.S., L.A.D., R.N.J., K.L.F.), Brown University, Alpert Medical School, Providence, RI
- Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T.), Brown University, Alpert Medical School, Providence, RI
- Section of Medical Education (L.C.W.), Brown University, Alpert Medical School, Providence, RI
| | - Bradford B Thompson
- Department of Neurology (M.E.R., A.M., L.C.W., B.B.T., C.S., L.A.D., R.N.J., K.L.F.), Brown University, Alpert Medical School, Providence, RI
- Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T.), Brown University, Alpert Medical School, Providence, RI
| | - Christoph Stretz
- Department of Neurology (M.E.R., A.M., L.C.W., B.B.T., C.S., L.A.D., R.N.J., K.L.F.), Brown University, Alpert Medical School, Providence, RI
| | - James L Rudolph
- Department of Medicine (J.L.R.), Brown University, Alpert Medical School, Providence, RI
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island (J.L.R.)
| | - Olga Boukrina
- Kessler Foundation and Kessler Institute for Rehabilitation, NJ (O.B.)
| | - A M Barrett
- Neurorehabilitation Program, Department of Neurology, Emory School of Medicine, Atlanta, GA (A.M.B.)
| | - Lori A Daiello
- Department of Neurology (M.E.R., A.M., L.C.W., B.B.T., C.S., L.A.D., R.N.J., K.L.F.), Brown University, Alpert Medical School, Providence, RI
| | - Richard N Jones
- Department of Neurology (M.E.R., A.M., L.C.W., B.B.T., C.S., L.A.D., R.N.J., K.L.F.), Brown University, Alpert Medical School, Providence, RI
- Department of Psychiatry and Human Behavior (S.A.M., R.N.J.), Brown University, Alpert Medical School, Providence, RI
| | - Karen L Furie
- Department of Neurology (M.E.R., A.M., L.C.W., B.B.T., C.S., L.A.D., R.N.J., K.L.F.), Brown University, Alpert Medical School, Providence, RI
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Reznik ME, Moody S, Drake J, Margolis S, Rudolph J, Daiello L, Furie KL, Jones R. Abstract TMP58: Rest-Activity Patterns In Post-Stroke Delirium: A Pilot Study. Stroke 2022. [DOI: 10.1161/str.53.suppl_1.tmp58] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Delirium is an acute cognitive disturbance frequently characterized by abnormal levels of motor activity and sleep-wake cycle disruption. However, the degree to which delirium affects activity patterns in the acute period after stroke is unclear. We aimed to examine these patterns in a cohort of patients with intracerebral hemorrhage (ICH).
Methods:
We enrolled 40 patients with supratentorial ICH and hemiparesis who had daily delirium assessments performed by expert clinicians. Continuous measurements of activity were captured using bilateral wrist actigraphs for the duration of each patient’s admission. Activity data were collected in 1-minute intervals, with “rest” intervals defined as periods with zero activity recorded. We compared differences in activity based on delirium status across multiple time intervals using linear regression models adjusted for age, ICH severity, and mechanical ventilation.
Results:
There were 312 total days of actigraphy monitoring, of which 233 (75%) were rated as days with delirium; 85% of patients (34/40) experienced delirium during their hospitalization. In multivariable analyses, delirium days were associated with 66.3 (95% CI 9.4-123.2) fewer total minutes of rest, including 6.1% (95% CI 2.3-9.9%) fewer minutes of rest during daytime periods (06:00-21:59) and 9.2% (95% CI 3.3-15.0%) fewer minutes of rest during nocturnal periods (22:00-5:59). In separate analyses for individual hourly intervals, delirium days were associated with significantly higher levels of activity across multiple consecutive time intervals, including 05:00-09:00 and 17:00-03:00. In subgroup analyses, hyperactive or mixed delirium was associated with fewer total daily minutes of rest compared to hypoactive delirium, along with lower proportions of time at rest during both daytime and nocturnal periods (4.3% [95% CI 0.5-8.0%] and 6.5% [95% CI 0.9-12.1%] lower, respectively).
Conclusion:
Post-stroke delirium is associated with less rest and higher overall levels of activity, especially during nocturnal periods and in patients with hyperactive or mixed delirium.
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Affiliation(s)
| | - Scott Moody
- Alpert Med Sch at Brown Univ, Providence, RI
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21
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Atillasoy J, Leasure AC, Schwartz A, Reznik ME, Moody S, Bevers MB, Matouk C, Falcone GJ, Sansing LH, Kimberly WTT, Sheth KN. Abstract TP134: Association Of Neutrophil-lymphocyte Ratio With Functional Outcome In Spontaneous Intracerebral Hemorrhage. Stroke 2022. [DOI: 10.1161/str.53.suppl_1.tp134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Neutrophil-to-lymphocyte ratio (NLR) is a marker of acute inflammation after brain injury. We sought to evaluate the relationship between NLR at admission and 3-month outcome in patients with spontaneous intracerebral hemorrhage (ICH).
Methods:
We pooled individual level data from 2 prospective ICH cohorts, the Acute Brain Injury Biorepository at Yale and Brown ICH registry. We included patients with ICH who had available NLR at admission (exposure of interest) and 3-month modified Rankin Scale (mRS). The primary endpoint was poor outcome at 3-months, defined as mRS 4-6. In each cohort, we fit multivariable logistic regression models to test for association between NLR (natural log transformed and quartiles) and 3-month mRS. Multivariable models were adjusted for sex and components of the ICH score. We then pooled study-specific results using a random-effects (with inverse variance-weighting) meta-analysis.
Results:
592 patients from Brown (69 years [SD 14], 47% female), and 107 patients from Yale (67 years [SD 14], 49% female) were included in the analysis. In the Brown cohort, average ICH volume was 9 cc and 64% of patients had lobar ICH. In the Yale cohort, ICH volume was 10.7 cc and 51% of patients had a lobar ICH. The NLR at admission was 8.21 [SD 9.39] in the Brown cohort and 6.98 [SD 11.35] in the Yale cohort (p=0.230). In the Brown cohort, NLR was associated with poor 3-month outcome in unadjusted (OR 1.28, 95% CI 1.06-1.54, p = 0.01) and adjusted analyses (OR 1.27, 95% CI 1.03-1.57, p = 0.03). In the Yale cohort, NLR yielded similar results in unadjusted (OR 1.80, 95% CI 1.11-2.92, p = 0.02) and adjusted analyses, although not statistically significant (OR 1.90, 95% 0.64-5.63, p = 0.24). Random effect models showed a consistent association in both unadjusted (OR 1.41; 95% CI, 1.04-1.90; p = 0.025; heterogeneity I
2
=40%; Q=1.67, p=0.2) and adjusted analyses (OR 1.29; 95% CI, 1.05-1.59; p=0.016; heterogeneity I
2
=68%; Q=0.49, p=0.48). Compared to the lowest quartile, the highest quartile of NLR had a 20% increase in the odds of having a poor outcome at 3 months (p=0.03).
Conclusions:
In a pooled study of two prospective cohorts, NLR was associated with poor functional outcome at 3 months. Future studies are needed to further evaluate NLR as a prognostic marker.
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22
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Lin N, Mandel D, Chuck CC, Kalagara R, Doelfel SR, Zhou H, Dandapani H, Mahmoud LN, Stretz C, Mac Grory BC, Wendell LC, Thompson BB, Furie KL, Mahta A, Reznik ME. Risk Factors for Opioid Utilization in Patients with Intracerebral Hemorrhage. Neurocrit Care 2021; 36:964-973. [PMID: 34931281 DOI: 10.1007/s12028-021-01404-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 11/15/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Headache is a common presenting symptom of intracerebral hemorrhage (ICH) and often necessitates treatment with opioid medications. However, opioid prescribing patterns in patients with ICH are not well described. We aimed to characterize the prevalence and risk factors for short and longer-term opioid use in patients with ICH. METHODS We conducted a retrospective cohort study using data from a single-center registry of patients with nontraumatic ICH. This registry included data on demographics, ICH-related characteristics, and premorbid, inpatient, and postdischarge medications. After excluding patients who died or received end-of-life care, we used multivariable regression models adjusted for premorbid opioid use to determine demographic and ICH-related risk factors for inpatient and postdischarge opioid use. RESULTS Of 468 patients with ICH in our cohort, 15% (n = 70) had premorbid opioid use, 53% (n = 248) received opioids during hospitalization, and 12% (n = 53) were prescribed opioids at discharge. The most commonly used opioids during hospitalization were fentanyl (38%), oxycodone (30%), morphine (26%), and hydromorphone (7%). Patients who received opioids during hospitalization were younger (univariate: median [interquartile range] 64 [53.5-74] vs. 76 [67-83] years, p < 0.001; multivariable: odds ratio [OR] 0.96 per year, 95% confidence interval [CI] 0.94-0.98) and had larger ICH volumes (univariate: median [interquartile range] 10.1 [2.1-28.6] vs. 2.7 [0.8-9.9] cm3, p < 0.001; multivariable: OR 1.05 per cm3, 95% CI 1.03-1.08) than those who did not receive opioids. All patients who had external ventricular drain placement and craniotomy/craniectomy received inpatient opioids. Additional risk factors for increased inpatient opioid use included infratentorial ICH location (OR 4.8, 95% CI 2.3-10.0), presence of intraventricular hemorrhage (OR 3.9, 95% CI 2.2-7.0), underlying vascular lesions (OR 3.0, 95% CI 1.1-8.1), and other secondary ICH etiologies (OR 7.5, 95% CI 1.7-32.8). Vascular lesions (OR 4.0, 95% CI 1.3-12.5), malignancy (OR 5.0, 95% CI 1.5-16.4), vasculopathy (OR 10.0, 95% CI 1.8-54.2), and other secondary etiologies (OR 7.2, 95% CI 1.8-29.9) were also risk factors for increased opioid prescriptions at discharge. Among patients who received opioid prescriptions at discharge, 43% (23 of 53) continued to refill their prescriptions at 3 months post discharge. CONCLUSIONS Inpatient opioid use in patients with ICH is common, with some risk factors that may be mechanistically connected to primary headache pathophysiology. However, the lower frequency of opioid prescriptions at discharge suggests that inpatient opioid use does not necessarily lead to a high rate of long-term opioid dependence in patients with ICH.
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Affiliation(s)
- Nelson Lin
- Department of Neurology, Warren Alpert Medical School of Brown University, Brown University, Providence, RI, USA
| | - Daniel Mandel
- Department of Neurology, Warren Alpert Medical School of Brown University, Brown University, Providence, RI, USA
| | - Carlin C Chuck
- Department of Neurology, Warren Alpert Medical School of Brown University, Brown University, Providence, RI, USA
| | | | - Savannah R Doelfel
- Department of Neurology, Warren Alpert Medical School of Brown University, Brown University, Providence, RI, USA
| | - Helen Zhou
- Department of Neurology, Warren Alpert Medical School of Brown University, Brown University, Providence, RI, USA
| | - Hari Dandapani
- Department of Neurology, Warren Alpert Medical School of Brown University, Brown University, Providence, RI, USA
| | - Leana N Mahmoud
- Department of Pharmacy, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Brown University, 593 Eddy St, APC 712, Providence, RI, USA
| | - Christoph Stretz
- Department of Neurology, Warren Alpert Medical School of Brown University, Brown University, Providence, RI, USA
| | - Brian C Mac Grory
- Department of Neurology, Duke University School of Medicine, Duke University, Durham, NC, USA
| | - Linda C Wendell
- Department of Neurology, Warren Alpert Medical School of Brown University, Brown University, Providence, RI, USA.,Department of Neurosurgery, Warren Alpert Medical School of Brown University, Brown University, Providence, RI, USA
| | - Bradford B Thompson
- Department of Neurology, Warren Alpert Medical School of Brown University, Brown University, Providence, RI, USA.,Department of Neurosurgery, Warren Alpert Medical School of Brown University, Brown University, Providence, RI, USA
| | - Karen L Furie
- Department of Neurology, Warren Alpert Medical School of Brown University, Brown University, Providence, RI, USA
| | - Ali Mahta
- Department of Neurology, Warren Alpert Medical School of Brown University, Brown University, Providence, RI, USA.,Department of Neurosurgery, Warren Alpert Medical School of Brown University, Brown University, Providence, RI, USA
| | - Michael E Reznik
- Department of Neurology, Warren Alpert Medical School of Brown University, Brown University, Providence, RI, USA. .,Department of Neurosurgery, Warren Alpert Medical School of Brown University, Brown University, Providence, RI, USA.
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23
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Chuck CC, Kim D, Kalagara R, Rex N, Madsen TE, Mahmoud L, Thompson BB, Jones RN, Furie KL, Reznik ME. Modeling the Clinical Implications of Andexanet Alfa in Factor Xa Inhibitor-Associated Intracerebral Hemorrhage. Neurology 2021; 97:e2054-e2064. [PMID: 34556569 DOI: 10.1212/wnl.0000000000012856] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 09/11/2021] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Andexanet alfa was recently approved as a reversal agent for the factor Xa inhibitors (FXais) apixaban and rivaroxaban, but its impact on long-term outcomes in FXai-associated intracerebral hemorrhage (ICH) is unknown. We aimed to explore potential clinical implications of andexanet alfa in FXai-associated ICH in this simulation study. METHODS We simulated potential downstream implications of andexanet alfa across a range of possible hemostatic effects using data from a single center that treats FXai-associated ICH with prothrombin complex concentrate (PCC). We determined baseline probabilities of inadequate hemostasis across patients taking FXai and those not taking FXai via multivariable regression models and then determined the probabilities of unfavorable 3-month outcome (modified Rankin Scale score 4-6) using models comprising established predictors and each patient's calculated probability of inadequate hemostasis. We applied bootstrapping with model parameters from this derivation cohort to simulate a range of hemostatic improvements and corresponding outcomes and then calculated absolute risk reduction (relative to PCC) and projected number needed to treat (NNT) to prevent 1 unfavorable outcome. RESULTS Training models using real-world patients (n = 603 total, 55 on FXai) had good accuracy in predicting inadequate hemostasis (area under the curve [AUC] 0.78) and unfavorable outcome (AUC 0.78). Inadequate hemostasis was strongly associated with unfavorable outcome (odds ratio 4.5, 95% confidence interval [CI] 2.0-9.9) and occurred in 11.4% of patients taking FXai. Across simulated patients taking FXai comparable to those in A Study in Participants With Andexanet Alfa, a Novel Antidote to the Anticoagulation Effects of Factor Xa Inhibitors (ANNEXA-4) study, predicted absolute risk reduction of unfavorable outcome was 4.9% (95% CI 1.3%-7.8%) when the probability of inadequate hemostasis was reduced by 33% and 7.4% (95% CI 2.0%-11.9%) at 50% reduction, translating to projected NNT of 21 (cumulative cost $519,750) and 14 ($346,500), respectively. DISCUSSION Even optimistic simulated hemostatic effects suggest that the costs and potential benefits of andexanet alfa should be carefully considered. Placebo-controlled randomized trials are needed before its use can definitively be recommended.
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Affiliation(s)
- Carlin C Chuck
- From the Departments of Neurology (C.C.C., D.K., N.R., B.B.T., R.N.J., K.L.F., M.R.), Emergency Medicine (T.E.M.), Neurosurgery (B.B.T., M.R.), and Psychiatry (R.N.J.), Brown University, Alpert Medical School, Providence, RI; Icahn School of Medicine at Mount Sinai (R.K.), New York, NY; and Department of Pharmacy (L.M.), Rhode Island Hospital, Providence
| | - Daniel Kim
- From the Departments of Neurology (C.C.C., D.K., N.R., B.B.T., R.N.J., K.L.F., M.R.), Emergency Medicine (T.E.M.), Neurosurgery (B.B.T., M.R.), and Psychiatry (R.N.J.), Brown University, Alpert Medical School, Providence, RI; Icahn School of Medicine at Mount Sinai (R.K.), New York, NY; and Department of Pharmacy (L.M.), Rhode Island Hospital, Providence
| | - Roshini Kalagara
- From the Departments of Neurology (C.C.C., D.K., N.R., B.B.T., R.N.J., K.L.F., M.R.), Emergency Medicine (T.E.M.), Neurosurgery (B.B.T., M.R.), and Psychiatry (R.N.J.), Brown University, Alpert Medical School, Providence, RI; Icahn School of Medicine at Mount Sinai (R.K.), New York, NY; and Department of Pharmacy (L.M.), Rhode Island Hospital, Providence
| | - Nathaniel Rex
- From the Departments of Neurology (C.C.C., D.K., N.R., B.B.T., R.N.J., K.L.F., M.R.), Emergency Medicine (T.E.M.), Neurosurgery (B.B.T., M.R.), and Psychiatry (R.N.J.), Brown University, Alpert Medical School, Providence, RI; Icahn School of Medicine at Mount Sinai (R.K.), New York, NY; and Department of Pharmacy (L.M.), Rhode Island Hospital, Providence
| | - Tracy E Madsen
- From the Departments of Neurology (C.C.C., D.K., N.R., B.B.T., R.N.J., K.L.F., M.R.), Emergency Medicine (T.E.M.), Neurosurgery (B.B.T., M.R.), and Psychiatry (R.N.J.), Brown University, Alpert Medical School, Providence, RI; Icahn School of Medicine at Mount Sinai (R.K.), New York, NY; and Department of Pharmacy (L.M.), Rhode Island Hospital, Providence
| | - Leana Mahmoud
- From the Departments of Neurology (C.C.C., D.K., N.R., B.B.T., R.N.J., K.L.F., M.R.), Emergency Medicine (T.E.M.), Neurosurgery (B.B.T., M.R.), and Psychiatry (R.N.J.), Brown University, Alpert Medical School, Providence, RI; Icahn School of Medicine at Mount Sinai (R.K.), New York, NY; and Department of Pharmacy (L.M.), Rhode Island Hospital, Providence
| | - Bradford B Thompson
- From the Departments of Neurology (C.C.C., D.K., N.R., B.B.T., R.N.J., K.L.F., M.R.), Emergency Medicine (T.E.M.), Neurosurgery (B.B.T., M.R.), and Psychiatry (R.N.J.), Brown University, Alpert Medical School, Providence, RI; Icahn School of Medicine at Mount Sinai (R.K.), New York, NY; and Department of Pharmacy (L.M.), Rhode Island Hospital, Providence
| | - Richard N Jones
- From the Departments of Neurology (C.C.C., D.K., N.R., B.B.T., R.N.J., K.L.F., M.R.), Emergency Medicine (T.E.M.), Neurosurgery (B.B.T., M.R.), and Psychiatry (R.N.J.), Brown University, Alpert Medical School, Providence, RI; Icahn School of Medicine at Mount Sinai (R.K.), New York, NY; and Department of Pharmacy (L.M.), Rhode Island Hospital, Providence
| | - Karen L Furie
- From the Departments of Neurology (C.C.C., D.K., N.R., B.B.T., R.N.J., K.L.F., M.R.), Emergency Medicine (T.E.M.), Neurosurgery (B.B.T., M.R.), and Psychiatry (R.N.J.), Brown University, Alpert Medical School, Providence, RI; Icahn School of Medicine at Mount Sinai (R.K.), New York, NY; and Department of Pharmacy (L.M.), Rhode Island Hospital, Providence
| | - Michael E Reznik
- From the Departments of Neurology (C.C.C., D.K., N.R., B.B.T., R.N.J., K.L.F., M.R.), Emergency Medicine (T.E.M.), Neurosurgery (B.B.T., M.R.), and Psychiatry (R.N.J.), Brown University, Alpert Medical School, Providence, RI; Icahn School of Medicine at Mount Sinai (R.K.), New York, NY; and Department of Pharmacy (L.M.), Rhode Island Hospital, Providence.
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Mahmoud L, Zullo AR, Blake C, Dai X, Thompson BB, Wendell LC, Furie KL, Reznik ME, Mahta A. Safety of Modified Nimodipine Dosing in Aneurysmal Subarachnoid Hemorrhage. World Neurosurg 2021; 158:e501-e508. [PMID: 34775086 DOI: 10.1016/j.wneu.2021.11.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 11/02/2021] [Accepted: 11/03/2021] [Indexed: 11/18/2022]
Abstract
BACKGROUND Nimodipine improves outcomes in patients with aneurysmal subarachnoid hemorrhage (aSAH). However, the impact of alternative dosing strategies on outcome remains unclear. METHODS We performed a retrospective cohort study of consecutive patients admitted with aSAH to an academic referral center from 2016 to 2019. Patients with a confirmed aneurysm cause who received nimodipine were included; patients who died or had withdrawal of life-sustaining treatment within 24 hours of admission were excluded. Univariable and multivariable modified Poisson regression models were used to identify predictors of using modified nimodipine dosing (30 mg every 2 hours) versus standard dosing (60 mg every 4 hours). Inverse probability weighted and modified Poisson regression models were used to estimate adjusted risk ratios (RRs) for outcome measures, with poor outcome defined as modified Rankin Scale score 4-6 at 3 months. RESULTS We identified 175 patients with aSAH who met eligibility criteria (mean [SD] age = 57 [13.2] years, 62% female, 73% White); 49% (n = 86) received modified nimodipine dosing. A modified dose was used more frequently in women (RR 2.08, 95% confidence interval [CI] 1.11-3.89, P = 0.02), patients with vasospasm (RR 3.47, 95% CI 1.84-6.51, P < 0.001), and patients who required vasopressors (RR 1.73, 95% CI 1.3-2.32, P < 0.001). Modified dosing was not associated with poor functional outcome (inverse probability weighted RR 1.1, 95% CI 0.8-1.4, P = 0.65). CONCLUSIONS Modified dosing of nimodipine is well tolerated and may not be associated with worse functional outcome. Prospective studies are needed to better assess the relationship between nimodipine dosing and outcomes in patients with aSAH.
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Affiliation(s)
- Leana Mahmoud
- Department of Pharmacy, Rhode Island Hospital, Providence, Rhode Island, USA
| | - Andrew R Zullo
- Department of Pharmacy, Rhode Island Hospital, Providence, Rhode Island, USA; Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Caitlyn Blake
- Department of Pharmacy, Rhode Island Hospital, Providence, Rhode Island, USA; University of Rhode Island College of Pharmacy, Kingston, Rhode Island, USA
| | - Xing Dai
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Bradford B Thompson
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Linda C Wendell
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA; Section of Medical Education, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Karen L Furie
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Michael E Reznik
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Ali Mahta
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.
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Chuck CC, Martin TJ, Kalagara R, Madsen TE, Furie KL, Yaghi S, Reznik ME. Statewide Emergency Medical Services Protocols for Suspected Stroke and Large Vessel Occlusion. JAMA Neurol 2021; 78:1404-1406. [PMID: 34542567 DOI: 10.1001/jamaneurol.2021.3227] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Carlin C Chuck
- Alpert Medical School, Brown University, Providence, Rhode Island
| | - Thomas J Martin
- Alpert Medical School, Brown University, Providence, Rhode Island
| | | | - Tracy E Madsen
- Department of Emergency Medicine, Alpert Medical School, Brown University, Providence, Rhode Island
| | - Karen L Furie
- Department of Neurology, Alpert Medical School, Brown University, Providence, Rhode Island
| | - Shadi Yaghi
- Department of Neurology, Alpert Medical School, Brown University, Providence, Rhode Island
| | - Michael E Reznik
- Department of Neurology, Alpert Medical School, Brown University, Providence, Rhode Island
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Mahta A, Reznik ME, Thompson BB, Wendell LC, Furie KL. In Reply to the Letter to the Editor Regarding "Association of Early White Blood Cell Trend with Outcomes in Aneurysmal Subarachnoid Hemorrhage". World Neurosurg 2021; 154:205. [PMID: 34583497 DOI: 10.1016/j.wneu.2021.07.136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 07/28/2021] [Indexed: 11/29/2022]
Affiliation(s)
- Ali Mahta
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown, University, Providence, Rhode Island, USA; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown, University, Providence, Rhode Island, USA.
| | - Michael E Reznik
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown, University, Providence, Rhode Island, USA; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown, University, Providence, Rhode Island, USA
| | - Bradford B Thompson
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown, University, Providence, Rhode Island, USA; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown, University, Providence, Rhode Island, USA
| | - Linda C Wendell
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown, University, Providence, Rhode Island, USA; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown, University, Providence, Rhode Island, USA
| | - Karen L Furie
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown, University, Providence, Rhode Island, USA
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Doelfel SR, Kalagara R, Han EJ, Chuck CC, Dandapani H, Stretz C, Mahta A, Wendell LC, Thompson BB, Yaghi S, Furie KL, Madsen TE, Reznik ME. Gender Disparities in Stroke Code Activation in Patients with Intracerebral Hemorrhage. J Stroke Cerebrovasc Dis 2021; 30:106119. [PMID: 34560379 DOI: 10.1016/j.jstrokecerebrovasdis.2021.106119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 08/24/2021] [Accepted: 09/10/2021] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVES Routine implementation of protocol-driven stroke "codes" results in timelier and more effective acute stroke management. However, it is unclear if patient demographics contribute to disparities in stroke code activation. We aimed to explore these demographic factors in a retrospective cohort study of patients with intracerebral hemorrhage (ICH). MATERIALS AND METHODS We identified consecutive patients with non-traumatic ICH who presented directly to our Comprehensive Stroke Center over 2 years and collected data on demographics, clinical features, and stroke code activation. We used multivariable logistic regression to examine differences in stroke code activation based on patient demographics while adjusting for initial clinical features (NIH Stroke Scale, FAST [facial drooping, arm weakness, speech difficulties] vs. non-FAST symptoms, time from last-known-well [LKW], and systolic blood pressure [SBP]). RESULTS Among 265 patients, 68% (n=179) had a stroke code activation. Stroke codes occurred less frequently in women (62%) than men (72%) and in non-white (57%) vs. white patients (70%). Non-stroke code patients were less likely to have FAST symptoms (37% vs. 87%) and had lower initial SBP (mean±SD 159.3±34.2 vs. 176.0±31.9 mmHg) than stroke code patients. In our primary multivariable models, neither age nor race were associated with stroke code activation. However, women were significantly less likely to have stroke codes than men (OR 0.49 [95% CI 0.24-0.98]), as were non-FAST symptoms (OR 0.11 [95% CI 0.05-0.22]). CONCLUSIONS Our data suggest gender disparities in emergency stroke care that should prompt further investigations into potential systemic biases. Increased awareness of atypical stroke symptoms is also warranted.
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Affiliation(s)
- Savannah R Doelfel
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, United States
| | - Roshini Kalagara
- Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Ethan J Han
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, United States
| | - Carlin C Chuck
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, United States
| | - Hari Dandapani
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, United States
| | - Christoph Stretz
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, United States
| | - Ali Mahta
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, United States; Department of Neurosurgery, Brown University, Alpert Medical School, Providence, RI, United States
| | - Linda C Wendell
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, United States; Department of Neurosurgery, Brown University, Alpert Medical School, Providence, RI, United States
| | - Bradford B Thompson
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, United States; Department of Neurosurgery, Brown University, Alpert Medical School, Providence, RI, United States
| | - Shadi Yaghi
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, United States
| | - Karen L Furie
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, United States
| | - Tracy E Madsen
- Department of Emergency Medicine, Brown University, Alpert Medical School, Providence, RI, United States
| | - Michael E Reznik
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, United States; Department of Neurosurgery, Brown University, Alpert Medical School, Providence, RI, United States.
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Mac Grory B, Nossek E, Reznik ME, Schrag M, Jayaraman M, McTaggart R, de Havenon A, Yaghi S, Feng W, Furie K, Boyanpally A. Ipsilateral internal carotid artery web and acute ischemic stroke: A cohort study, systematic review and meta-analysis. PLoS One 2021; 16:e0257697. [PMID: 34534252 PMCID: PMC8448368 DOI: 10.1371/journal.pone.0257697] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 09/07/2021] [Indexed: 12/03/2022] Open
Abstract
Introduction The carotid web is a compelling potential mechanism of embolic ischemic stroke. In this study, we aim to determine the prevalence of ipsilateral carotid web in a cohort of ischemic stroke patients and to perform a systematic review and meta-analysis of similar cohorts. Patients & methods We performed a retrospective, observational, cohort study of acute ischemic stroke patients admitted to a comprehensive stroke center from June 2012 to September 2017. Carotid web was defined on computed tomography angiography (CTA) as a thin shelf of non-calcified tissue immediately distal to the carotid bifurcation. We described the prevalence of carotid artery webs in our cohort, then performed a systematic review and meta-analysis of similar cohorts in the published literature. Results We identified 1,435 potentially eligible patients of whom 879 met criteria for inclusion in our analysis. An ipsilateral carotid web was detected in 4 out of 879 (0.45%) patients, of which 4/4 (1.6%) were in 244 patients with cryptogenic stroke and 3/4 were in 66 (4.5%) patients <60 years old with cryptogenic stroke. Our systematic review yielded 3,192 patients. On meta-analysis, the pooled prevalence of ipsilateral carotid web in cryptogenic stroke patients <60 was 13% (95% CI: 7%-22%; I2 = 66.1%). The relative risk (RR) of ipsilateral versus contralateral carotid web in all patients was 2.5 (95% CI 1.5–4.2, p = 0.0009) whereas in patients less than 60 with cryptogenic stroke it was 3.0 (95% CI 1.6–5.8, p = 0.0011). Discussion Carotid webs are more common in young patients with cryptogenic stroke than in other stroke subtypes. Future studies concerning the diagnosis and secondary prevention of stroke associated with carotid web should focus on this population.
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Affiliation(s)
- Brian Mac Grory
- Division of Vascular Neurology, Department of Neurology, Duke University School of Medicine, Durham, North Carolina, United States of America
- * E-mail:
| | - Erez Nossek
- Division of Vascular Neurosurgery, Department of Neurosurgery, New York University School of Medicine, New York City, New York, United States of America
| | - Michael E. Reznik
- Division of Vascular Neurology, Department of Neurology, Brown University, Providence, Rhode Island, United States of America
| | - Matthew Schrag
- Division of Vascular Neurology, Department of Neurology, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Mahesh Jayaraman
- Division of Vascular Neurology, Department of Neurology, Brown University, Providence, Rhode Island, United States of America
- Division of Neuroradiology, Department of Radiology, Brown University, Providence, Rhode Island, United States of America
| | - Ryan McTaggart
- Division of Vascular Neurology, Department of Neurology, Brown University, Providence, Rhode Island, United States of America
- Division of Neuroradiology, Department of Radiology, Brown University, Providence, Rhode Island, United States of America
| | - Adam de Havenon
- Division of Vascular Neurology, Department of Neurology, University of Utah School of Medicine, Salt Lake City, Utah, United States of America
| | - Shadi Yaghi
- Division of Vascular Neurology, Department of Neurology, Brown University, Providence, Rhode Island, United States of America
| | - Wuwei Feng
- Division of Vascular Neurology, Department of Neurology, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Karen Furie
- Division of Vascular Neurology, Department of Neurology, Brown University, Providence, Rhode Island, United States of America
| | - Anusha Boyanpally
- Division of Vascular Neurology, Department of Neurology, Vidant Medical Center, Greenville, North Carolina, United States of America
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Mahta A, Murray K, Reznik ME, Thompson BB, Wendell LC, Furie KL. Early Neurological Changes and Interpretation of Clinical Grades in Aneurysmal Subarachnoid Hemorrhage. J Stroke Cerebrovasc Dis 2021; 30:105939. [PMID: 34171650 DOI: 10.1016/j.jstrokecerebrovasdis.2021.105939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 05/29/2021] [Accepted: 06/02/2021] [Indexed: 10/21/2022] Open
Abstract
OBJECTIVES Hunt and Hess (HH) and World Federation of Neurological Surgeons (WFNS) grades are commonly used to report clinical severity of aneurysmal subarachnoid hemorrhage (aSAH). We sought to determine the impact of early neurological changes and the timing of clinical grade assignment on the prognostication accuracy. METHODS We retrospectively reviewed a cohort of consecutive patients with aSAH who were admitted to an academic center. Patients with confirmed aneurysmal cause were included. Relevant clinical data including daily clinical grades, imaging data and functional outcome were analyzed. Favorable outcome was defined as mRS 0 to 3. Early neurological improvement (ENI) and early neurological deterioration (END) were respectively defined as any improvement or deterioration of HH grades from hospital day 1 to the earliest time from hospital day 2 to 5. RESULTS Of 310 patients, 24% experienced early neurological changes from hospital day 1 to 3. For each point increase in HH grades from day 1 to day 3, the odds ratio for worse outcome was 2.57 (95% CI [1.74-3.79]) and for each point decrease in HH grades from day 1 to day 3, the odds ratio for worse outcome was 0.28 (95% CI [0.17-0.47]). Receiver Operating Characteristic curve analysis revealed that clinical grades on day 3 had higher accuracy in predicting worse outcome than clinical grades on day 1. CONCLUSION Early changes in neurological status can alter trajectory of hospital course and functional outcome. The prognostic accuracy of the clinical grades from hospital day 3 is significantly greater than those on admission.
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Affiliation(s)
- Ali Mahta
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA.
| | - Kayleigh Murray
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Michael E Reznik
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA.
| | - Bradford B Thompson
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA.
| | - Linda C Wendell
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA.
| | - Karen L Furie
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA.
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Mahta A, Anderson MN, Azher AI, Mahmoud LN, Dakay K, Abdulrazeq H, Abud A, Moody S, Reznik ME, Yaghi S, Thompson BB, Wendell LC, Rao SS, Potter NS, Cutting S, Mac Grory B, Stretz C, Doberstein CE, Furie KL. Short- and long-term opioid use in survivors of subarachnoid hemorrhage. Clin Neurol Neurosurg 2021; 207:106770. [PMID: 34182238 DOI: 10.1016/j.clineuro.2021.106770] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 03/03/2021] [Accepted: 06/17/2021] [Indexed: 01/18/2023]
Abstract
OBJECTIVES Opioids are frequently used for analgesia in patients with acute subarachnoid hemorrhage (SAH) due to a high prevalence of headache and neck pain. However, it is unclear if this practice may pose a risk for opioid dependence, as long-term opioid use in this population remains unknown. We sought to determine the prevalence of opioid use in SAH survivors, and to identify potential risk factors for opioid utilization. METHODS We analyzed a cohort of consecutive patients admitted with non-traumatic and suspected aneurysmal SAH to an academic referral center. We included patients who survived hospitalization and excluded those who were not opioid-naïve. Potential risk factors for opioid prescription at discharge, 3 and 12 months post-discharge were assessed. RESULTS Of 240 SAH patients who met our inclusion criteria (mean age 58.4 years [SD 14.8], 58% women), 233 (97%) received opioids during hospitalization and 152 (63%) received opioid prescription at discharge. Twenty-eight patients (12%) still continued to use opioids at 3 months post-discharge, and 13 patients (6%) at 12-month follow up. Although patients with poor Hunt and Hess grades (odds ratio 0.19, 95% CI 0.06-0.57) and those with intraventricular hemorrhage (odds ratio 0.38, 95% CI 0.18-0.87) were less likely to receive opioid prescriptions at discharge, we did not find significant differences between patients who had long-term opioid use and those who did not. CONCLUSION Opioids are regularly used in both the acute SAH setting and immediately after discharge. A considerable number of patients also continue to use opioids in the long-term. Opioid-sparing pain control strategies should be explored in the future.
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Affiliation(s)
- Ali Mahta
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States.
| | - Matthew N Anderson
- Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Aidan I Azher
- Department of Neurology, University of Texas McGovern Medical School, Houston, TX, United States
| | - Leana N Mahmoud
- Department of Pharmacy, Rhode Island Hospital, Providence, RI, United States
| | - Katarina Dakay
- Department of Neurosurgery, Westchester Medical Center, Valhalla, NY, United States
| | - Hael Abdulrazeq
- Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Alexander Abud
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Scott Moody
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Michael E Reznik
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Shadi Yaghi
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States; Department of Neurology, NYU Langone, New York, NY, United States
| | - Bradford B Thompson
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Linda C Wendell
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Shyam S Rao
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Nicholas S Potter
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States; Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Shawna Cutting
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Brian Mac Grory
- Department of Neurology, Duke University, Durham, NC, United States
| | - Christoph Stretz
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Curtis E Doberstein
- Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Karen L Furie
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, RI, United States
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Mac Grory B, Landman SR, Ziegler PD, Boisvert CJ, Flood SP, Stretz C, Madsen TE, Reznik ME, Cutting S, Moore EE, Hewitt H, Closser JB, Torres J, Lavin PJ, Furie KL, Xian Y, Feng W, Biousse V, Schrag M, Yaghi S. Detection of Atrial Fibrillation After Central Retinal Artery Occlusion. Stroke 2021; 52:2773-2781. [PMID: 34092124 DOI: 10.1161/strokeaha.120.033934] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Brian Mac Grory
- Departments of Neurology (B.M.G., Y.X., W.F.), Duke University School of Medicine, Durham, NC
| | | | | | | | - Shane P Flood
- Departments of Medicine (S.P.F.), Warren Alpert Medical School of Brown University, Providence, RI
| | - Christoph Stretz
- Neurology (C.S., M.E.R., S.C., K.L.F.), Warren Alpert Medical School of Brown University, Providence, RI
| | - Tracy E Madsen
- Emergency Medicine (T.E.M.), Warren Alpert Medical School of Brown University, Providence, RI
| | - Michael E Reznik
- Neurology (C.S., M.E.R., S.C., K.L.F.), Warren Alpert Medical School of Brown University, Providence, RI
| | - Shawna Cutting
- Neurology (C.S., M.E.R., S.C., K.L.F.), Warren Alpert Medical School of Brown University, Providence, RI
| | - Elizabeth E Moore
- Departments of Neurology (E.E.M., H.H., J.B.C., P.J.L., M.S.), Vanderbilt University School of Medicine, Nashville, TN
| | - Hunter Hewitt
- Departments of Neurology (E.E.M., H.H., J.B.C., P.J.L., M.S.), Vanderbilt University School of Medicine, Nashville, TN
| | - James B Closser
- Departments of Neurology (E.E.M., H.H., J.B.C., P.J.L., M.S.), Vanderbilt University School of Medicine, Nashville, TN
| | - Jose Torres
- Department of Neurology, New York University-Langone School of Medicine, New York City, NY (J.T., S.Y.)
| | - Patrick J Lavin
- Departments of Neurology (E.E.M., H.H., J.B.C., P.J.L., M.S.), Vanderbilt University School of Medicine, Nashville, TN.,Ophthalmology (P.J.L.), Vanderbilt University School of Medicine, Nashville, TN
| | - Karen L Furie
- Neurology (C.S., M.E.R., S.C., K.L.F.), Warren Alpert Medical School of Brown University, Providence, RI
| | - Ying Xian
- Departments of Neurology (B.M.G., Y.X., W.F.), Duke University School of Medicine, Durham, NC.,Duke Clinical Research Institute, Durham, NC (Y.X.)
| | - Wayne Feng
- Departments of Neurology (B.M.G., Y.X., W.F.), Duke University School of Medicine, Durham, NC
| | - Valérie Biousse
- Departments of Ophthalmology (V.B.), Emory University School of Medicine, Atlanta, GA.,Neurology (V.B.), Emory University School of Medicine, Atlanta, GA
| | - Matthew Schrag
- Departments of Neurology (E.E.M., H.H., J.B.C., P.J.L., M.S.), Vanderbilt University School of Medicine, Nashville, TN
| | - Shadi Yaghi
- Department of Neurology, New York University-Langone School of Medicine, New York City, NY (J.T., S.Y.)
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Paciaroni M, Agnelli G, Giustozzi M, Caso V, Toso E, Angelini F, Canavero I, Micieli G, Antonenko K, Rocco A, Diomedi M, Katsanos AH, Shoamanesh A, Giannopoulos S, Ageno W, Pegoraro S, Putaala J, Strbian D, Sallinen H, Mac Grory BC, Furie KL, Stretz C, Reznik ME, Alberti A, Venti M, Mosconi MG, Vedovati MC, Franco L, Zepponi G, Romoli M, Zini A, Brancaleoni L, Riva L, Silvestrelli G, Ciccone A, Zedde ML, Giorli E, Kosmidou M, Ntais E, Palaiodimou L, Halvatsiotis P, Tassinari T, Saia V, Ornello R, Sacco S, Bandini F, Mancuso M, Orlandi G, Ferrari E, Pezzini A, Poli L, Cappellari M, Forlivesi S, Rigatelli A, Yaghi S, Scher E, Frontera JA, Masotti L, Grifoni E, Caliandro P, Zauli A, Reale G, Marcheselli S, Gasparro A, Terruso V, Arnao V, Aridon P, Abdul-Rahim AH, Dawson J, Saggese CE, Palmerini F, Doronin B, Volodina V, Toni D, Risitano A, Schirinzi E, Del Sette M, Lochner P, Monaco S, Mannino M, Tassi R, Guideri F, Acampa M, Martini G, Lotti EM, Padroni M, Pantoni L, Rosa S, Bertora P, Ntaios G, Sagris D, Baldi A, D’Amore C, Mumoli N, Porta C, Denti L, Chiti A, Corea F, Acciarresi M, Flomin Y, Popovic N, Tsivgoulis G. Risk Factors for Intracerebral Hemorrhage in Patients With Atrial Fibrillation on Non-Vitamin K Antagonist Oral Anticoagulants for Stroke Prevention. Stroke 2021; 52:1450-1454. [PMID: 33657853 PMCID: PMC10561687 DOI: 10.1161/strokeaha.120.031827] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 12/16/2020] [Accepted: 01/28/2021] [Indexed: 11/16/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Maurizio Paciaroni
- Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Italy (M. Paciaroni, G.A., M.G., V.C., A.A., M.V., M.G.M., M.C.V., L.F., G.Z.)
| | - Giancarlo Agnelli
- Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Italy (M. Paciaroni, G.A., M.G., V.C., A.A., M.V., M.G.M., M.C.V., L.F., G.Z.)
| | - Michela Giustozzi
- Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Italy (M. Paciaroni, G.A., M.G., V.C., A.A., M.V., M.G.M., M.C.V., L.F., G.Z.)
| | - Valeria Caso
- Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Italy (M. Paciaroni, G.A., M.G., V.C., A.A., M.V., M.G.M., M.C.V., L.F., G.Z.)
| | - Elisabetta Toso
- Division of Cardiology, Città della Salute e della Scienza Hospital, University of Torino, Italy (E.T., F.A.)
| | - Filippo Angelini
- Division of Cardiology, Città della Salute e della Scienza Hospital, University of Torino, Italy (E.T., F.A.)
| | - Isabella Canavero
- Emergency Neurology, IRCCS Casimiro Mondino Foundation, Pavia, Italy (I.C., G. Micieli)
| | - Giuseppe Micieli
- Emergency Neurology, IRCCS Casimiro Mondino Foundation, Pavia, Italy (I.C., G. Micieli)
| | - Kateryna Antonenko
- Department of Neurology, Bogomolets National Medical University, Kyiv, Ukraine (K.A.)
| | - Alessandro Rocco
- Stroke Unit, Department of Systems Medicine, University of Tor Vergata, Rome, Italy (A. Rocco, M.D.)
| | - Marina Diomedi
- Stroke Unit, Department of Systems Medicine, University of Tor Vergata, Rome, Italy (A. Rocco, M.D.)
| | - Aristeidis H. Katsanos
- Department of Medicine (Neurology), McMaster University/Population Health Research Institute, Hamilton, Canada (A.H.K., A.S.)
| | - Ashkan Shoamanesh
- Department of Medicine (Neurology), McMaster University/Population Health Research Institute, Hamilton, Canada (A.H.K., A.S.)
| | - Sotirios Giannopoulos
- Department of Neurology, University of Ioannina School of Medicine, Greece (S.G., E.N.)
| | - Walter Ageno
- Department of Medicine, University of Insubria, Ospedale di Circolo, Varese, Italy (W.A., S.P.)
| | - Samuela Pegoraro
- Department of Medicine, University of Insubria, Ospedale di Circolo, Varese, Italy (W.A., S.P.)
| | - Jukka Putaala
- Department of Neurology, Helsinki University Hospital and Neurosciences University of Helsinki, Finland (J.P., D. Strbian, H.S.)
| | - Daniel Strbian
- Department of Neurology, Helsinki University Hospital and Neurosciences University of Helsinki, Finland (J.P., D. Strbian, H.S.)
| | - Hanne Sallinen
- Department of Neurology, Helsinki University Hospital and Neurosciences University of Helsinki, Finland (J.P., D. Strbian, H.S.)
| | - Brian C. Mac Grory
- Department of Neurology, Duke University School of Medicine, Durham, NC (B.C.M.G.)
| | - Karen L. Furie
- Department of Neurology, Warren Alpert Medical School of Brown University, Providence, RI (K.L.F., C.S., M.E.R.)
| | - Christoph Stretz
- Department of Neurology, Warren Alpert Medical School of Brown University, Providence, RI (K.L.F., C.S., M.E.R.)
| | - Michael E. Reznik
- Department of Neurology, Warren Alpert Medical School of Brown University, Providence, RI (K.L.F., C.S., M.E.R.)
| | - Andrea Alberti
- Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Italy (M. Paciaroni, G.A., M.G., V.C., A.A., M.V., M.G.M., M.C.V., L.F., G.Z.)
| | - Michele Venti
- Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Italy (M. Paciaroni, G.A., M.G., V.C., A.A., M.V., M.G.M., M.C.V., L.F., G.Z.)
| | - Maria Giulia Mosconi
- Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Italy (M. Paciaroni, G.A., M.G., V.C., A.A., M.V., M.G.M., M.C.V., L.F., G.Z.)
| | - Maria Cristina Vedovati
- Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Italy (M. Paciaroni, G.A., M.G., V.C., A.A., M.V., M.G.M., M.C.V., L.F., G.Z.)
| | - Laura Franco
- Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Italy (M. Paciaroni, G.A., M.G., V.C., A.A., M.V., M.G.M., M.C.V., L.F., G.Z.)
| | - Giorgia Zepponi
- Stroke Unit and Division of Cardiovascular Medicine, University of Perugia, Italy (M. Paciaroni, G.A., M.G., V.C., A.A., M.V., M.G.M., M.C.V., L.F., G.Z.)
| | - Michele Romoli
- Neurology Unit, Rimini “Infermi” Hospital–AUSL Romagna, Rimini, Italy (M. Romoli)
| | - Andrea Zini
- Department of Neurology and Stroke Center, IRCCS Istituto di Scienze Neurologiche di Bologna (A. Zini, L.B.), Maggiore Hospital, Bologna, Italy
| | - Laura Brancaleoni
- Department of Neurology and Stroke Center, IRCCS Istituto di Scienze Neurologiche di Bologna (A. Zini, L.B.), Maggiore Hospital, Bologna, Italy
| | - Letizia Riva
- Division of Cardiology (L.R.), Maggiore Hospital, Bologna, Italy
| | - Giorgio Silvestrelli
- S.C. di Neurologia e S.S. di Stroke Unit, ASST di Mantova, Italy (G.S., A. Ciccone)
| | - Alfonso Ciccone
- S.C. di Neurologia e S.S. di Stroke Unit, ASST di Mantova, Italy (G.S., A. Ciccone)
| | - Maria Luisa Zedde
- Neurology Unit, Stroke Unit, Local Health Unit–IRCCS of Reggio Emilia, Italy (M.L.Z.)
| | - Elisa Giorli
- Department of Neurology, Stroke Unit, Sant’Andrea Hospital, La Spezia, Italy (E. Giorli)
| | - Maria Kosmidou
- First Department of Internal Medicine, University of Ioannina School of Medicine, Greece (M.K.)
| | - Evangelos Ntais
- Department of Neurology, University of Ioannina School of Medicine, Greece (S.G., E.N.)
| | - Lina Palaiodimou
- Second Department of Neurology, “Attikon” Hospital, National and Kapodistrian University of Athens, School of Medicine, Greece (L. Palaiodimou, G.T.)
| | - Panagiotis Halvatsiotis
- Second Department of Internal Medicine “Attikon” University Hospital Medical School, National and Kapodistrian University of Athens, Greece (P.H.)
| | - Tiziana Tassinari
- Department of Neurology and Stroke Unit, Santa Corona Hospital, Pietra Ligure (Savona), Italy (T.T., V.S.)
| | - Valentina Saia
- Department of Neurology and Stroke Unit, Santa Corona Hospital, Pietra Ligure (Savona), Italy (T.T., V.S.)
| | - Raffaele Ornello
- Neuroscience Section, Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Italy (R.O., S.S.)
| | - Simona Sacco
- Neuroscience Section, Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Italy (R.O., S.S.)
| | - Fabio Bandini
- Department of Neurology, Ospedale San Paolo, Savona, Italy (F.B.)
| | - Michelangelo Mancuso
- Department of Clinical and Experimental Medicine, Neurological Institute, University of Pisa, Italy (M. Mancuso, G.O., E.F.)
| | - Giovanni Orlandi
- Department of Clinical and Experimental Medicine, Neurological Institute, University of Pisa, Italy (M. Mancuso, G.O., E.F.)
| | - Elena Ferrari
- Department of Clinical and Experimental Medicine, Neurological Institute, University of Pisa, Italy (M. Mancuso, G.O., E.F.)
| | - Alessandro Pezzini
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Italy (A.P., L. Poli)
| | - Loris Poli
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Italy (A.P., L. Poli)
| | - Manuel Cappellari
- SSO Stroke Unit, UO Neurologia, DAI di Neuroscienze, AOUI Verona, Italy (M.C., S.F.)
| | - Stefano Forlivesi
- SSO Stroke Unit, UO Neurologia, DAI di Neuroscienze, AOUI Verona, Italy (M.C., S.F.)
| | - Alberto Rigatelli
- Pronto Soccorso, Ospedale Borgo Trento, DAI Emergenza e Accettazione, AOUI Verona, Italy (A. Rigatelli)
| | - Shadi Yaghi
- Department of Neurology, NYU Langone Health, New York, NY (S.Y., E. Scher, J.A.F.)
| | - Erica Scher
- Department of Neurology, NYU Langone Health, New York, NY (S.Y., E. Scher, J.A.F.)
| | - Jennifer A. Frontera
- Department of Neurology, NYU Langone Health, New York, NY (S.Y., E. Scher, J.A.F.)
| | - Luca Masotti
- Internal Medicine, San Giuseppe Hospital, Empoli, Italy (L.M., E. Grifoni)
| | - Elisa Grifoni
- Internal Medicine, San Giuseppe Hospital, Empoli, Italy (L.M., E. Grifoni)
| | - Pietro Caliandro
- Neurology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy (P.C.)
| | - Aurelia Zauli
- Department of Geriatrics, Neurosciences and Orthopedics, Università Cattolica del Sacro Cuore, Rome, Italy (A. Zauli, G.R.)
| | - Giuseppe Reale
- Department of Geriatrics, Neurosciences and Orthopedics, Università Cattolica del Sacro Cuore, Rome, Italy (A. Zauli, G.R.)
| | - Simona Marcheselli
- Humanitas Clinical and Research Center–IRCCS, Rozzano, Milano, Italy (S. Marcheselli)
| | | | | | - Valentina Arnao
- Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Italy (V.A., P.A.)
| | - Paolo Aridon
- Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Italy (V.A., P.A.)
| | - Azmil H. Abdul-Rahim
- Medical School and Institute of Cardiovascular and Medical Sciences, University of Glasgow, United Kingdom (A.H.A.-R., J.D.)
| | - Jesse Dawson
- Medical School and Institute of Cardiovascular and Medical Sciences, University of Glasgow, United Kingdom (A.H.A.-R., J.D.)
| | - Carlo Emanuele Saggese
- Unità di Terapia Neurovascolare, Ospedale “Fabrizio Spaziani,” Frosinone, Italy (C.E.S.)
| | | | - Boris Doronin
- Municipal Budgetary Healthcare Institution of Novosibirsk, City Clinical Hospital No. 1, Novosibirsk State Medical University, Russia (B.D., V.V.)
| | - Vera Volodina
- Municipal Budgetary Healthcare Institution of Novosibirsk, City Clinical Hospital No. 1, Novosibirsk State Medical University, Russia (B.D., V.V.)
| | - Danilo Toni
- Department of Human Neurosciences, Sapienza University of Rome, Italy (D.T., A. Risitano)
| | - Angela Risitano
- Department of Human Neurosciences, Sapienza University of Rome, Italy (D.T., A. Risitano)
| | - Erika Schirinzi
- Struttura Complessa di Neurologia, Ente Ospedaliero Ospedali Galliera, Genoa, Italy (E. Schirinzi, M.D.S.)
| | - Massimo Del Sette
- Struttura Complessa di Neurologia, Ente Ospedaliero Ospedali Galliera, Genoa, Italy (E. Schirinzi, M.D.S.)
| | - Piergiorgio Lochner
- Department of Neurology, Saarland University, Medical Center, Homburg, Germany (P.L.)
| | - Serena Monaco
- Stroke Unit, Ospedale Civico, Palermo, Italy (S. Monaco, M. Mannino)
| | - Marina Mannino
- Stroke Unit, Ospedale Civico, Palermo, Italy (S. Monaco, M. Mannino)
| | - Rossana Tassi
- Stroke Unit, AOU Senese, Siena, Italy (R.T., F.G., M. Acampa, G. Martini)
| | - Francesca Guideri
- Stroke Unit, AOU Senese, Siena, Italy (R.T., F.G., M. Acampa, G. Martini)
| | - Maurizio Acampa
- Stroke Unit, AOU Senese, Siena, Italy (R.T., F.G., M. Acampa, G. Martini)
| | - Giuseppe Martini
- Stroke Unit, AOU Senese, Siena, Italy (R.T., F.G., M. Acampa, G. Martini)
| | - Enrico Maria Lotti
- U.O. Neurologia Presidio Ospedaliero di Ravenna Azienda USL della Romagna, Italy (E.M.L., M. Padroni)
| | - Marina Padroni
- U.O. Neurologia Presidio Ospedaliero di Ravenna Azienda USL della Romagna, Italy (E.M.L., M. Padroni)
| | - Leonardo Pantoni
- ‘L. Sacco’ Department of Biomedical and Clinical Sciences, University of Milan, Italy (L. Pantoni, P.B.)
| | - Silvia Rosa
- Neurology Unit, ASST Fatebenefratelli–Sacco, Milan, Italy (S.R.)
| | - Pierluigi Bertora
- ‘L. Sacco’ Department of Biomedical and Clinical Sciences, University of Milan, Italy (L. Pantoni, P.B.)
| | - George Ntaios
- Department of Medicine, University of Thessaly, Larissa, Greece (G.N., D. Sagris)
| | - Dimitrios Sagris
- Department of Medicine, University of Thessaly, Larissa, Greece (G.N., D. Sagris)
| | - Antonio Baldi
- Stroke Unit, Ospedale di Portogruaro, Venice, Italy (A.B., C.D.)
| | - Cataldo D’Amore
- Stroke Unit, Ospedale di Portogruaro, Venice, Italy (A.B., C.D.)
| | - Nicola Mumoli
- Department of Internal Medicine, Magenta Hospital, Italy (N.M., C.P.)
| | - Cesare Porta
- Department of Internal Medicine, Magenta Hospital, Italy (N.M., C.P.)
| | - Licia Denti
- Stroke Unit, Dipartimento Geriatrico Riabilitativo, University of Parma, Italy (L.D.)
| | - Alberto Chiti
- Neurologia, Ospedale Apuano, Massa Carrara, Italy (A. Chiti)
| | - Francesco Corea
- UO Gravi Cerebrolesioni, San Giovanni Battista Hospital, Foligno, Italy (F.C., M. Acciarresi)
| | - Monica Acciarresi
- UO Gravi Cerebrolesioni, San Giovanni Battista Hospital, Foligno, Italy (F.C., M. Acciarresi)
| | - Yuriy Flomin
- Stroke and Neurorehabilitation Unit, MC Universal Clinic ‘Oberig’ Kyiv, Ukraine (Y.F.)
| | - Nemanja Popovic
- Clinic of Neurology, Clinical Center of Vòsvodina, University of Novi Sad, Serbia (N.P.)
| | - Georgios Tsivgoulis
- Second Department of Neurology, “Attikon” Hospital, National and Kapodistrian University of Athens, School of Medicine, Greece (L. Palaiodimou, G.T.)
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Reznik ME, Kalagara R, Moody S, Drake J, Margolis SA, Cizginer S, Mahta A, Rao SS, Stretz C, Wendell LC, Thompson BB, Asaad WF, Furie KL, Jones RN, Daiello LA. Common biomarkers of physiologic stress and associations with delirium in patients with intracerebral hemorrhage. J Crit Care 2021; 64:62-67. [PMID: 33794468 DOI: 10.1016/j.jcrc.2021.03.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 03/04/2021] [Accepted: 03/17/2021] [Indexed: 01/04/2023]
Abstract
PURPOSE To examine associations between physiologic stress and delirium in the setting of a direct neurologic injury. MATERIALS AND METHODS We obtained initial neutrophil-to-lymphocyte ratio (NLR), glucose, and troponin in consecutive non-comatose patients with non-traumatic intracerebral hemorrhage (ICH) over 1 year, then used multivariable regression models to determine associations between each biomarker and incident delirium. Delirium diagnoses were established using DSM-5-based methods, with exploratory analyses further categorizing delirium as first occurring <24 h ("early-onset") or > 24 h after presentation ("later-onset"). RESULTS Of 284 patients, delirium occurred in 55% (early-onset: 39% [n = 111]; later-onset: 16% [n = 46]). Patients with delirium had higher NLR (mean 9.0 ± 10.4 vs. 6.4 ± 5.5; p = 0.01), glucose (mean 146.5 ± 59.6 vs. 129.9 ± 41.4 mg/dL; p = 0.008), and a higher frequency of elevated troponin (>0.05 ng/mL; 21% vs. 10%, p = 0.02). In adjusted models, elevated NLR (highest quartile: OR 3.4 [95% CI 1.5-7.8]), glucose (>180 mg/dL: OR 3.1 [95% CI 1.1-8.2]), and troponin (OR 3.0 [95% CI 1.2-7.2]) were each associated with delirium, but only initial NLR was specifically associated with later-onset delirium and with delirium in non-mechanically ventilated patients. CONCLUSIONS Stress-related biomarkers corresponding to multiple organ systems are associated with ICH-related delirium. Early NLR elevation may also predict delayed-onset delirium, potentially implicating systemic inflammation as a contributory delirium mechanism.
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Affiliation(s)
- Michael E Reznik
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, USA; Department of Neurosurgery, Brown University, Alpert Medical School, Providence, RI, USA.
| | - Roshini Kalagara
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, USA
| | - Scott Moody
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, USA
| | - Jonathan Drake
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, USA
| | - Seth A Margolis
- Department of Psychiatry, Brown University, Alpert Medical School, Providence, RI, USA
| | - Sevdenur Cizginer
- Department of Medicine, Brown University, Alpert Medical School, Providence, RI, USA
| | - Ali Mahta
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, USA; Department of Neurosurgery, Brown University, Alpert Medical School, Providence, RI, USA
| | - Shyam S Rao
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, USA; Department of Neurosurgery, Brown University, Alpert Medical School, Providence, RI, USA
| | - Christoph Stretz
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, USA; Department of Neurosurgery, Brown University, Alpert Medical School, Providence, RI, USA
| | - Linda C Wendell
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, USA; Department of Neurosurgery, Brown University, Alpert Medical School, Providence, RI, USA; Section of Medical Education, Brown University, Alpert Medical School, Providence, RI, USA
| | - Bradford B Thompson
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, USA; Department of Neurosurgery, Brown University, Alpert Medical School, Providence, RI, USA
| | - Wael F Asaad
- Department of Neurosurgery, Brown University, Alpert Medical School, Providence, RI, USA
| | - Karen L Furie
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, USA
| | - Richard N Jones
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, USA; Department of Psychiatry, Brown University, Alpert Medical School, Providence, RI, USA
| | - Lori A Daiello
- Department of Neurology, Brown University, Alpert Medical School, Providence, RI, USA
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Han EJ, Chuck CC, Martin TJ, Madsen TE, Claassen J, Reznik ME. Statewide Emergency Medical Services Protocols for Status Epilepticus Management. Ann Neurol 2021; 89:604-609. [PMID: 33305853 DOI: 10.1002/ana.2598] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 12/08/2020] [Accepted: 12/09/2020] [Indexed: 05/27/2023]
Abstract
Although seizures are common in prehospital settings, standardized emergency medical services (EMS) treatment algorithms do not exist nationally. We examined nationwide variability in status epilepticus treatment by analyzing 33 publicly available statewide EMS protocols. All adult protocols recommend intravenous benzodiazepines (midazolam, n = 33; lorazepam, n = 23; diazepam, n = 24), 30 recommend intramuscular benzodiazepines (midazolam, n = 30; lorazepam, n = 8; diazepam, n = 3), and 27 recommend intranasal benzodiazepines (midazolam, n = 27; lorazepam, n = 3); pediatric protocols also frequently recommend rectal diazepam (n = 14). Recommended dosages vary widely, and first- and second-line agents are designated in only 18 and 2 states, respectively. Given this degree of variability, standardized national EMS guidelines are needed. ANN NEUROL 2021;89:604-609.
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Affiliation(s)
- Ethan J Han
- Department of Neuroscience, Brown University, Providence, RI
| | - Carlin C Chuck
- Department of Neurology, Alpert Medical School, Brown University, Providence, RI
| | - Thomas J Martin
- Department of Neurology, Alpert Medical School, Brown University, Providence, RI
| | - Tracy E Madsen
- Department of Emergency Medicine, Alpert Medical School, Brown University, Providence, RI
| | - Jan Claassen
- Department of Neurology, Columbia University Irving Medical Center, New York, NY
| | - Michael E Reznik
- Department of Neurology, Alpert Medical School, Brown University, Providence, RI
- Department of Neurosurgery, Alpert Medical School, Brown University, Providence, RI
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Lin NF, Mahta A, Chuck CC, Kalagara R, Doelfel SR, Zhou H, Mahmoud LN, Stretz C, Wendell LC, Thompson BB, Furie KL, Reznik ME. Abstract P393: Risk Factors for Opioid Use in Patients With Intracerebral Hemorrhage. Stroke 2021. [DOI: 10.1161/str.52.suppl_1.p393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Opioids are often used as analgesics in patients with subarachnoid hemorrhage, but their use in the setting of intracerebral hemorrhage (ICH) is not well described. We aimed to determine risk factors for opioid use in both the acute and post-discharge settings in patients with ICH.
Methods:
We analyzed data from a single-center cohort of consecutive ICH patients admitted over two years. Demographics and ICH-related characteristics were prospectively collected as part of an institutional ICH registry, while pre-morbid, in-hospital, and post-discharge medications were retrospectively abstracted from medication administration records and physician documentation. After excluding patients who received end-of-life care, we used multivariable regression models adjusted for pre-morbid opioid use to determine demographic and ICH-related risk factors for in-hospital and post-discharge opioid use.
Results:
Of 468 patients in our cohort, 15% (n=70) had pre-morbid opioid use, 53% (n=248) had in-hospital opioid use, and 12% (n=53) of survivors had opioids prescribed at discharge. The most commonly used in-hospital opioids were fentanyl (38% of patients), oxycodone (30%), morphine (26%), and hydromorphone (7%). Patients who received in-hospital opioids were significantly younger (mean 62.7 vs. 74.0 years, p<0.001) and had larger ICH volumes (mean 18.7 vs. 8.1 cc, p<0.001), with additional risk factors including infratentorial location (OR 4.0, 95% CI 2.0-8.0), presence of intraventricular hemorrhage (OR 4.3, 95% CI 2.5-7.5), and vascular, neoplastic, or other secondary ICH etiologies (OR 2.6, 95% CI 1.4-4.7) in multivariable models. However, only secondary ICH etiologies (OR 4.1, 95% CI 1.8-9.1) remained significant risk factors for opioid prescriptions at discharge in ICH survivors.
Conclusion:
Inpatient opioid use in ICH patients is common, with risk factors that may be mechanistically connected to headache pathophysiology. However, the lower frequency of post-discharge opioid prescriptions may be reassuring given the prevalence of opioid dependence nationwide.
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Doelfel SR, Moody S, Chuck CC, Kalagara R, Zhou H, Stretz C, Madsen TE, Mahta A, Wendell LC, Thompson BB, Furie KL, Reznik ME. Abstract P175: Dizziness-Related Symptoms are Associated With Delayed Diagnostic Imaging in Patients With Intracerebral Hemorrhage. Stroke 2021. [DOI: 10.1161/str.52.suppl_1.p175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Acute dizziness can present diagnostic challenges for emergency department (ED) clinicians because of the potential for an underlying cerebrovascular cause. Although various strategies may aid in diagnosing cases caused by stroke, it is unclear whether dizziness due to intracerebral hemorrhage (ICH) is associated with delays in diagnostic imaging.
Methods:
We performed a single center cohort study on consecutive ICH patients admitted over 2 years. We retrospectively abstracted initial reported symptoms and aggregated patients with dizziness, vertigo, lightheadedness, or nausea under the category of dizziness-related symptoms. After excluding patients with ED intubation due to potential procedural delays, we calculated time from initial ED arrival to first computed tomography (CT) scan. Using linear regression, we determined associations between dizziness-related symptoms and ED-to-CT time after adjusting for demographics and time from symptom onset, with additional analyses considering the presence of typical stroke symptoms and cerebellar ICH.
Results:
Of 427 patients, 110 (26%) presented with dizziness-related symptoms and 36 (8%) had cerebellar ICH. In univariate analyses, patients with dizziness-related symptoms had longer ED-to-CT times than other patients (median [IQR] 51 [21-144] vs. 32 [14-92] min, p=0.007), as did those with cerebellar ICH (71 [27-182] min). In our primary adjusted model, dizziness-related symptoms were associated with longer ED-to-CT times (+26 min [95% CI 6-46]). This imaging delay was further compounded in a subgroup analysis of patients without typical stroke symptoms (+45 min [95% CI 7-84], and in a separate model considering patients with cerebellar ICH (+48 min [95% CI 17-80]).
Conclusions:
Dizziness-related symptoms are associated with delayed diagnostic imaging in patients with ICH, which suggests the need for increased early awareness and urgency in these cases.
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Kalagara R, Lin NF, Chuck CC, Doelfel SR, Zhou H, Moody S, Stretz C, Mahta A, Wendell LC, Thompson BB, Furie KL, Reznik ME. Abstract P452: Impact of Socioeconomic Status in Intracerebral Hemorrhage. Stroke 2021. [DOI: 10.1161/str.52.suppl_1.p452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Socioeconomic status (SES) has been associated with intracerebral hemorrhage (ICH) incidence, but its impact on ICH-related features and outcomes is unclear.
Methods:
We performed a single-center cohort study on consecutive ICH patients admitted over 2 years. Demographics, ICH characteristics, and outcomes were prospectively collected, while SES-related data were retrospectively abstracted. We classified SES quartiles using census estimates of median household incomes corresponding to patients’ home ZIP codes, then categorized patients as “lower SES” if their ZIP code was in the lowest SES quartile, if they were uninsured, or had Medicaid as their source of insurance. We compared ICH characteristics between patients with lower vs. higher SES, then determined associations between lower SES and unfavorable 3-month outcome (modified Rankin Scale 4-6) using multivariable logistic regression.
Results:
Of 665 patients, 31% (n=207) were categorized as lower SES. Patients with lower SES were significantly younger (mean [SD] 64.7 [16.1] vs. 73.1 [14.2] years, p<0.001), more often non-white (38% vs. 8%, p<0.001), and had a higher prevalence of multiple vascular risk factors. There were no significant differences in ICH volume or prevalence of infratentorial or intraventricular hemorrhage. However, patients with lower SES had a shorter time-to-presentation (median [IQR] 4.5 [1.3-15.2] vs. 7.4 [1.4-21.7]), hours from last known well, p=0.01), and had fewer ICH due to cerebral amyloid angiopathy (13% vs. 30%, p<0.001). Despite these differences, patients with lower SES did not have a significantly higher likelihood of unfavorable 3-month outcomes (OR 1.2 [95% CI 0.7-1.8]).
Conclusions:
Differences in ICH features may be driven by pre-morbid healthcare disparities in lower SES patients. Although their younger age and shorter time to presentation may have mitigated the deleterious effects of comorbidities on long-term outcomes, these factors may also belie a greater loss of quality-adjusted life years from ICH-related disability.
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Han EJ, Chuck CC, Martin TJ, Madsen TE, Claassen J, Reznik ME. Statewide Emergency Medical Services Protocols for Status Epilepticus Management. Ann Neurol 2020; 89:604-609. [PMID: 33305853 DOI: 10.1002/ana.25989] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 12/08/2020] [Accepted: 12/09/2020] [Indexed: 11/09/2022]
Abstract
Although seizures are common in prehospital settings, standardized emergency medical services (EMS) treatment algorithms do not exist nationally. We examined nationwide variability in status epilepticus treatment by analyzing 33 publicly available statewide EMS protocols. All adult protocols recommend intravenous benzodiazepines (midazolam, n = 33; lorazepam, n = 23; diazepam, n = 24), 30 recommend intramuscular benzodiazepines (midazolam, n = 30; lorazepam, n = 8; diazepam, n = 3), and 27 recommend intranasal benzodiazepines (midazolam, n = 27; lorazepam, n = 3); pediatric protocols also frequently recommend rectal diazepam (n = 14). Recommended dosages vary widely, and first- and second-line agents are designated in only 18 and 2 states, respectively. Given this degree of variability, standardized national EMS guidelines are needed. ANN NEUROL 2021;89:604-609.
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Affiliation(s)
- Ethan J Han
- Department of Neuroscience, Brown University, Providence, RI
| | - Carlin C Chuck
- Department of Neurology, Alpert Medical School, Brown University, Providence, RI
| | - Thomas J Martin
- Department of Neurology, Alpert Medical School, Brown University, Providence, RI
| | - Tracy E Madsen
- Department of Emergency Medicine, Alpert Medical School, Brown University, Providence, RI
| | - Jan Claassen
- Department of Neurology, Columbia University Irving Medical Center, New York, NY
| | - Michael E Reznik
- Department of Neurology, Alpert Medical School, Brown University, Providence, RI.,Department of Neurosurgery, Alpert Medical School, Brown University, Providence, RI
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Reznik ME, Moody S, Murray K, Costa S, Grory BM, Madsen TE, Mahta A, Wendell LC, Thompson BB, Rao SS, Stretz C, Sheth KN, Hwang DY, Zahuranec DB, Schrag M, Daiello LA, Asaad WF, Jones RN, Furie KL. The impact of delirium on withdrawal of life-sustaining treatment after intracerebral hemorrhage. Neurology 2020; 95:e2727-e2735. [PMID: 32913011 PMCID: PMC7734724 DOI: 10.1212/wnl.0000000000010738] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 06/12/2020] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE To determine the impact of delirium on withdrawal of life-sustaining treatment (WLST) after intracerebral hemorrhage (ICH) in the context of established predictors of poor outcome, using data from an institutional ICH registry. METHODS We performed a single-center cohort study on consecutive patients with ICH admitted over 12 months. ICH features were prospectively adjudicated, and WLST and corresponding hospital day were recorded retrospectively. Patients were categorized using DSM-5 criteria as never delirious, ever delirious (either on admission or later during hospitalization), or persistently comatose. We determined the impact of delirium on WLST using Cox regression models adjusted for demographics and ICH predictors (including Glasgow Coma Scale score), then used logistic regression with receiver operating characteristic curve analysis to compare the accuracy of ICH score-based models with and without delirium category in predicting WLST. RESULTS Of 311 patients (mean age 70.6 ± 15.6, median ICH score 1 [interquartile range 1-2]), 50% had delirium. WLST occurred in 26%, and median time to WLST was 1 day (0-6). WLST was more frequent in patients who developed delirium (adjusted hazard ratio 8.9 [95% confidence interval (CI) 2.1-37.6]), with high rates of WLST in both early (occurring ≤24 hours from admission) and later delirium groups. An ICH score-based model was strongly predictive of WLST (area under the curve [AUC] 0.902 [95% CI 0.863-0.941]), and the addition of delirium category further improved the model's accuracy (AUC 0.936 [95% CI 0.909-0.962], p = 0.004). CONCLUSION Delirium is associated with WLST after ICH regardless of when it occurs. Further study on the impact of delirium on clinician and surrogate decision-making is warranted.
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Affiliation(s)
- Michael E Reznik
- From the Department of Neurology (M.E.R., S.M., K.M., S.C., B.M.G., A.M., L.C.W., B.B.T., S.S.R., C.S., L.A.D., R.N.J., K.L.F.), Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T., S.S.R., W.F.A.), Department of Emergency Medicine (T.E.M.), Section of Medical Education (L.C.W.), and Department of Psychiatry and Human Behavior (R.N.J.), Alpert Medical School, Brown University, Providence, RI; Department of Neurology (K.N.S., D.Y.H.), Yale School of Medicine, New Haven, CT; Department of Neurology and Stroke Program (D.B.Z.), Michigan Medicine, Ann Arbor; and Department of Neurology (M.S.), Vanderbilt University School of Medicine, Nashville, TN.
| | - Scott Moody
- From the Department of Neurology (M.E.R., S.M., K.M., S.C., B.M.G., A.M., L.C.W., B.B.T., S.S.R., C.S., L.A.D., R.N.J., K.L.F.), Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T., S.S.R., W.F.A.), Department of Emergency Medicine (T.E.M.), Section of Medical Education (L.C.W.), and Department of Psychiatry and Human Behavior (R.N.J.), Alpert Medical School, Brown University, Providence, RI; Department of Neurology (K.N.S., D.Y.H.), Yale School of Medicine, New Haven, CT; Department of Neurology and Stroke Program (D.B.Z.), Michigan Medicine, Ann Arbor; and Department of Neurology (M.S.), Vanderbilt University School of Medicine, Nashville, TN
| | - Kayleigh Murray
- From the Department of Neurology (M.E.R., S.M., K.M., S.C., B.M.G., A.M., L.C.W., B.B.T., S.S.R., C.S., L.A.D., R.N.J., K.L.F.), Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T., S.S.R., W.F.A.), Department of Emergency Medicine (T.E.M.), Section of Medical Education (L.C.W.), and Department of Psychiatry and Human Behavior (R.N.J.), Alpert Medical School, Brown University, Providence, RI; Department of Neurology (K.N.S., D.Y.H.), Yale School of Medicine, New Haven, CT; Department of Neurology and Stroke Program (D.B.Z.), Michigan Medicine, Ann Arbor; and Department of Neurology (M.S.), Vanderbilt University School of Medicine, Nashville, TN
| | - Samantha Costa
- From the Department of Neurology (M.E.R., S.M., K.M., S.C., B.M.G., A.M., L.C.W., B.B.T., S.S.R., C.S., L.A.D., R.N.J., K.L.F.), Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T., S.S.R., W.F.A.), Department of Emergency Medicine (T.E.M.), Section of Medical Education (L.C.W.), and Department of Psychiatry and Human Behavior (R.N.J.), Alpert Medical School, Brown University, Providence, RI; Department of Neurology (K.N.S., D.Y.H.), Yale School of Medicine, New Haven, CT; Department of Neurology and Stroke Program (D.B.Z.), Michigan Medicine, Ann Arbor; and Department of Neurology (M.S.), Vanderbilt University School of Medicine, Nashville, TN
| | - Brian Mac Grory
- From the Department of Neurology (M.E.R., S.M., K.M., S.C., B.M.G., A.M., L.C.W., B.B.T., S.S.R., C.S., L.A.D., R.N.J., K.L.F.), Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T., S.S.R., W.F.A.), Department of Emergency Medicine (T.E.M.), Section of Medical Education (L.C.W.), and Department of Psychiatry and Human Behavior (R.N.J.), Alpert Medical School, Brown University, Providence, RI; Department of Neurology (K.N.S., D.Y.H.), Yale School of Medicine, New Haven, CT; Department of Neurology and Stroke Program (D.B.Z.), Michigan Medicine, Ann Arbor; and Department of Neurology (M.S.), Vanderbilt University School of Medicine, Nashville, TN
| | - Tracy E Madsen
- From the Department of Neurology (M.E.R., S.M., K.M., S.C., B.M.G., A.M., L.C.W., B.B.T., S.S.R., C.S., L.A.D., R.N.J., K.L.F.), Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T., S.S.R., W.F.A.), Department of Emergency Medicine (T.E.M.), Section of Medical Education (L.C.W.), and Department of Psychiatry and Human Behavior (R.N.J.), Alpert Medical School, Brown University, Providence, RI; Department of Neurology (K.N.S., D.Y.H.), Yale School of Medicine, New Haven, CT; Department of Neurology and Stroke Program (D.B.Z.), Michigan Medicine, Ann Arbor; and Department of Neurology (M.S.), Vanderbilt University School of Medicine, Nashville, TN
| | - Ali Mahta
- From the Department of Neurology (M.E.R., S.M., K.M., S.C., B.M.G., A.M., L.C.W., B.B.T., S.S.R., C.S., L.A.D., R.N.J., K.L.F.), Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T., S.S.R., W.F.A.), Department of Emergency Medicine (T.E.M.), Section of Medical Education (L.C.W.), and Department of Psychiatry and Human Behavior (R.N.J.), Alpert Medical School, Brown University, Providence, RI; Department of Neurology (K.N.S., D.Y.H.), Yale School of Medicine, New Haven, CT; Department of Neurology and Stroke Program (D.B.Z.), Michigan Medicine, Ann Arbor; and Department of Neurology (M.S.), Vanderbilt University School of Medicine, Nashville, TN
| | - Linda C Wendell
- From the Department of Neurology (M.E.R., S.M., K.M., S.C., B.M.G., A.M., L.C.W., B.B.T., S.S.R., C.S., L.A.D., R.N.J., K.L.F.), Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T., S.S.R., W.F.A.), Department of Emergency Medicine (T.E.M.), Section of Medical Education (L.C.W.), and Department of Psychiatry and Human Behavior (R.N.J.), Alpert Medical School, Brown University, Providence, RI; Department of Neurology (K.N.S., D.Y.H.), Yale School of Medicine, New Haven, CT; Department of Neurology and Stroke Program (D.B.Z.), Michigan Medicine, Ann Arbor; and Department of Neurology (M.S.), Vanderbilt University School of Medicine, Nashville, TN
| | - Bradford B Thompson
- From the Department of Neurology (M.E.R., S.M., K.M., S.C., B.M.G., A.M., L.C.W., B.B.T., S.S.R., C.S., L.A.D., R.N.J., K.L.F.), Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T., S.S.R., W.F.A.), Department of Emergency Medicine (T.E.M.), Section of Medical Education (L.C.W.), and Department of Psychiatry and Human Behavior (R.N.J.), Alpert Medical School, Brown University, Providence, RI; Department of Neurology (K.N.S., D.Y.H.), Yale School of Medicine, New Haven, CT; Department of Neurology and Stroke Program (D.B.Z.), Michigan Medicine, Ann Arbor; and Department of Neurology (M.S.), Vanderbilt University School of Medicine, Nashville, TN
| | - Shyam S Rao
- From the Department of Neurology (M.E.R., S.M., K.M., S.C., B.M.G., A.M., L.C.W., B.B.T., S.S.R., C.S., L.A.D., R.N.J., K.L.F.), Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T., S.S.R., W.F.A.), Department of Emergency Medicine (T.E.M.), Section of Medical Education (L.C.W.), and Department of Psychiatry and Human Behavior (R.N.J.), Alpert Medical School, Brown University, Providence, RI; Department of Neurology (K.N.S., D.Y.H.), Yale School of Medicine, New Haven, CT; Department of Neurology and Stroke Program (D.B.Z.), Michigan Medicine, Ann Arbor; and Department of Neurology (M.S.), Vanderbilt University School of Medicine, Nashville, TN
| | - Christoph Stretz
- From the Department of Neurology (M.E.R., S.M., K.M., S.C., B.M.G., A.M., L.C.W., B.B.T., S.S.R., C.S., L.A.D., R.N.J., K.L.F.), Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T., S.S.R., W.F.A.), Department of Emergency Medicine (T.E.M.), Section of Medical Education (L.C.W.), and Department of Psychiatry and Human Behavior (R.N.J.), Alpert Medical School, Brown University, Providence, RI; Department of Neurology (K.N.S., D.Y.H.), Yale School of Medicine, New Haven, CT; Department of Neurology and Stroke Program (D.B.Z.), Michigan Medicine, Ann Arbor; and Department of Neurology (M.S.), Vanderbilt University School of Medicine, Nashville, TN
| | - Kevin N Sheth
- From the Department of Neurology (M.E.R., S.M., K.M., S.C., B.M.G., A.M., L.C.W., B.B.T., S.S.R., C.S., L.A.D., R.N.J., K.L.F.), Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T., S.S.R., W.F.A.), Department of Emergency Medicine (T.E.M.), Section of Medical Education (L.C.W.), and Department of Psychiatry and Human Behavior (R.N.J.), Alpert Medical School, Brown University, Providence, RI; Department of Neurology (K.N.S., D.Y.H.), Yale School of Medicine, New Haven, CT; Department of Neurology and Stroke Program (D.B.Z.), Michigan Medicine, Ann Arbor; and Department of Neurology (M.S.), Vanderbilt University School of Medicine, Nashville, TN
| | - David Y Hwang
- From the Department of Neurology (M.E.R., S.M., K.M., S.C., B.M.G., A.M., L.C.W., B.B.T., S.S.R., C.S., L.A.D., R.N.J., K.L.F.), Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T., S.S.R., W.F.A.), Department of Emergency Medicine (T.E.M.), Section of Medical Education (L.C.W.), and Department of Psychiatry and Human Behavior (R.N.J.), Alpert Medical School, Brown University, Providence, RI; Department of Neurology (K.N.S., D.Y.H.), Yale School of Medicine, New Haven, CT; Department of Neurology and Stroke Program (D.B.Z.), Michigan Medicine, Ann Arbor; and Department of Neurology (M.S.), Vanderbilt University School of Medicine, Nashville, TN
| | - Darin B Zahuranec
- From the Department of Neurology (M.E.R., S.M., K.M., S.C., B.M.G., A.M., L.C.W., B.B.T., S.S.R., C.S., L.A.D., R.N.J., K.L.F.), Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T., S.S.R., W.F.A.), Department of Emergency Medicine (T.E.M.), Section of Medical Education (L.C.W.), and Department of Psychiatry and Human Behavior (R.N.J.), Alpert Medical School, Brown University, Providence, RI; Department of Neurology (K.N.S., D.Y.H.), Yale School of Medicine, New Haven, CT; Department of Neurology and Stroke Program (D.B.Z.), Michigan Medicine, Ann Arbor; and Department of Neurology (M.S.), Vanderbilt University School of Medicine, Nashville, TN
| | - Matthew Schrag
- From the Department of Neurology (M.E.R., S.M., K.M., S.C., B.M.G., A.M., L.C.W., B.B.T., S.S.R., C.S., L.A.D., R.N.J., K.L.F.), Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T., S.S.R., W.F.A.), Department of Emergency Medicine (T.E.M.), Section of Medical Education (L.C.W.), and Department of Psychiatry and Human Behavior (R.N.J.), Alpert Medical School, Brown University, Providence, RI; Department of Neurology (K.N.S., D.Y.H.), Yale School of Medicine, New Haven, CT; Department of Neurology and Stroke Program (D.B.Z.), Michigan Medicine, Ann Arbor; and Department of Neurology (M.S.), Vanderbilt University School of Medicine, Nashville, TN
| | - Lori A Daiello
- From the Department of Neurology (M.E.R., S.M., K.M., S.C., B.M.G., A.M., L.C.W., B.B.T., S.S.R., C.S., L.A.D., R.N.J., K.L.F.), Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T., S.S.R., W.F.A.), Department of Emergency Medicine (T.E.M.), Section of Medical Education (L.C.W.), and Department of Psychiatry and Human Behavior (R.N.J.), Alpert Medical School, Brown University, Providence, RI; Department of Neurology (K.N.S., D.Y.H.), Yale School of Medicine, New Haven, CT; Department of Neurology and Stroke Program (D.B.Z.), Michigan Medicine, Ann Arbor; and Department of Neurology (M.S.), Vanderbilt University School of Medicine, Nashville, TN
| | - Wael F Asaad
- From the Department of Neurology (M.E.R., S.M., K.M., S.C., B.M.G., A.M., L.C.W., B.B.T., S.S.R., C.S., L.A.D., R.N.J., K.L.F.), Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T., S.S.R., W.F.A.), Department of Emergency Medicine (T.E.M.), Section of Medical Education (L.C.W.), and Department of Psychiatry and Human Behavior (R.N.J.), Alpert Medical School, Brown University, Providence, RI; Department of Neurology (K.N.S., D.Y.H.), Yale School of Medicine, New Haven, CT; Department of Neurology and Stroke Program (D.B.Z.), Michigan Medicine, Ann Arbor; and Department of Neurology (M.S.), Vanderbilt University School of Medicine, Nashville, TN
| | - Richard N Jones
- From the Department of Neurology (M.E.R., S.M., K.M., S.C., B.M.G., A.M., L.C.W., B.B.T., S.S.R., C.S., L.A.D., R.N.J., K.L.F.), Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T., S.S.R., W.F.A.), Department of Emergency Medicine (T.E.M.), Section of Medical Education (L.C.W.), and Department of Psychiatry and Human Behavior (R.N.J.), Alpert Medical School, Brown University, Providence, RI; Department of Neurology (K.N.S., D.Y.H.), Yale School of Medicine, New Haven, CT; Department of Neurology and Stroke Program (D.B.Z.), Michigan Medicine, Ann Arbor; and Department of Neurology (M.S.), Vanderbilt University School of Medicine, Nashville, TN
| | - Karen L Furie
- From the Department of Neurology (M.E.R., S.M., K.M., S.C., B.M.G., A.M., L.C.W., B.B.T., S.S.R., C.S., L.A.D., R.N.J., K.L.F.), Department of Neurosurgery (M.E.R., A.M., L.C.W., B.B.T., S.S.R., W.F.A.), Department of Emergency Medicine (T.E.M.), Section of Medical Education (L.C.W.), and Department of Psychiatry and Human Behavior (R.N.J.), Alpert Medical School, Brown University, Providence, RI; Department of Neurology (K.N.S., D.Y.H.), Yale School of Medicine, New Haven, CT; Department of Neurology and Stroke Program (D.B.Z.), Michigan Medicine, Ann Arbor; and Department of Neurology (M.S.), Vanderbilt University School of Medicine, Nashville, TN
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Reznik ME, Daiello LA, Thompson BB, Wendell LC, Mahta A, Potter NS, Yaghi S, Levy MM, Fehnel CR, Furie KL, Jones RN. Fluctuations of consciousness after stroke: Associations with the confusion assessment method for the intensive care unit (CAM-ICU) and potential undetected delirium. J Crit Care 2020; 56:58-62. [PMID: 31855707 DOI: 10.1016/j.jcrc.2019.12.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2019] [Revised: 09/22/2019] [Accepted: 12/09/2019] [Indexed: 01/22/2023]
Abstract
PURPOSE To examine associations between fluctuating consciousness and Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) assessments in stroke patients compared to non-neurological patients. MATERIALS AND METHODS We linked all recorded CAM-ICU assessments with corresponding Richmond Agitation Sedation Scale (RASS) measurements in patients with stroke or sepsis from a single-center ICU database. Fluctuating consciousness was defined by RASS variability using standard deviations (SD) over 24-h periods; regression analyses were performed to determine associations with RASS variability and CAM-ICU rating. RESULTS We identified 16,509 paired daily summaries of CAM-ICU and RASS measurements in 546 stroke patients and 1586 sepsis patients. Stroke patients had higher odds of positive (OR 4.2, 95% CI 3.3-5.5) and "unable to assess" (UTA; OR 5.2, 95% CI 4.0-6.8) CAM-ICU ratings compared to sepsis patients, and CAM-ICU-positive and UTA assessment-days had higher RASS variability than CAM-ICU-negative assessment-days, especially in stroke patients. Based on model-implied associations of RASS variability (OR 2.0 per semi-IQR-difference in RASS-SD, 95% CI 1.7-2.2) and stroke diagnosis (OR 2.7, 95% CI 2.0-3.7) with CAM-ICU-positive assessments, over one-third of probable delirium cases among stroke patients were potentially missed by the CAM-ICU. CONCLUSIONS Post-stroke delirium may frequently go undetected by the CAM-ICU, even in the setting of fluctuating consciousness.
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Affiliation(s)
- Michael E Reznik
- Department of Neurology, Brown University, Alpert Medical School, United States of America; Department of Neurosurgery, Brown University, Alpert Medical School, United States of America.
| | - Lori A Daiello
- Department of Neurology, Brown University, Alpert Medical School, United States of America
| | - Bradford B Thompson
- Department of Neurology, Brown University, Alpert Medical School, United States of America; Department of Neurosurgery, Brown University, Alpert Medical School, United States of America
| | - Linda C Wendell
- Department of Neurology, Brown University, Alpert Medical School, United States of America; Department of Neurosurgery, Brown University, Alpert Medical School, United States of America
| | - Ali Mahta
- Department of Neurology, Brown University, Alpert Medical School, United States of America; Department of Neurosurgery, Brown University, Alpert Medical School, United States of America
| | - N Stevenson Potter
- Department of Neurology, Brown University, Alpert Medical School, United States of America; Department of Neurosurgery, Brown University, Alpert Medical School, United States of America
| | - Shadi Yaghi
- Department of Neurology, New York Langone Health, United States of America
| | - Mitchell M Levy
- Department of Medicine, Brown University, Alpert Medical School, United States of America
| | - Corey R Fehnel
- Marcus Institute for Aging Research, Hebrew SeniorLife, Beth Israel Deaconess Medical Center, United States of America
| | - Karen L Furie
- Department of Neurology, Brown University, Alpert Medical School, United States of America
| | - Richard N Jones
- Department of Neurology, Brown University, Alpert Medical School, United States of America; Department of Psychiatry and Human Behavior, Brown University, Alpert Medical School, United States of America
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Reznik ME, Moody S, Mac Grory B, Stretz C, Madsen TE, Mahta A, Rao SS, Wendell LC, Thompson BB, Furie KL. Abstract TP353: Long-term Outcomes in Patients With Intracerebral Hemorrhage and Delayed Hospital Presentation. Stroke 2020. [DOI: 10.1161/str.51.suppl_1.tp353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Delays in medical care are known to be associated with worse outcomes in ischemic stroke, but outcomes in patients with intracerebral hemorrhage (ICH) and delayed presentation are unclear. We aimed to determine factors associated with prolonged delays from ICH symptom onset to hospital presentation and implications for long-term outcomes.
Methods:
We performed a single-center cohort study using data from consecutive ICH patients over 12 months. ICH characteristics and outcomes were prospectively collected, while time of symptom onset (or last-known-well) and emergency department arrival were retrospectively abstracted. We calculated time-to-arrival and defined prolonged delay as >24 hours. Using multivariable logistic regression, we determined factors associated with prolonged delays to presentation, then determined associations with unfavorable 3-month outcomes (modified Rankin Scale [mRS] 4-6) after adjusting for demographics and ICH severity.
Results:
Of 299 patients with out-of-hospital ICH, 21% (n=62) presented >24 hours from symptom onset; median time-to-arrival was 5.5 hours (IQR 1.2-17.8). There were not significant differences in age (mean 71.9±14.0 vs. 70.4±16.0, p=0.50), sex (48% vs. 50% male, p=0.80), race (89% vs. 82% white, p=0.22), or ICH size (mean 15.5±23.2 vs. 20.5±27.4cc, p=0.19) between patients presenting >24 hours and <24 hours from symptom onset, though patients with prolonged delays were less likely to have initial GCS <13 (16% vs. 34%, p=0.02) and therefore had modestly lower ICH scores (median 1 [0-2] vs. 1 [1-2], p=0.02). Patients with prolonged delays had lower 3-month mRS scores than patients who presented earlier (median 3 [1.5-4] vs. 4 [3-6], p=0.002), and lower odds of unfavorable 3-month outcome in adjusted models (OR 0.46, 95% CI 0.22-0.97).
Conclusions:
Outcomes in ICH patients with prolonged delays to presentation differ from those who present earlier. ICH severity in such patients may not be accurately captured by established predictors, and prognostication models should therefore account for inherent survivorship bias.
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Affiliation(s)
| | | | | | | | | | - Ali Mahta
- Brown Univ, Alpert Med Sch, Providence, RI
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Kalagara R, Moody S, Mac Grory B, Burton TM, Cutting S, Stretz C, Madsen TE, Mahta A, Wendell LC, Thompson BB, Rao SS, Yaghi S, Furie KL, Reznik ME. Abstract TP339: Elevated Admission Troponin Predicts Unfavorable Outcomes After Intracerebral Hemorrhage in Patients With Atrial Fibrillation. Stroke 2020. [DOI: 10.1161/str.51.suppl_1.tp339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Intracerebral hemorrhage (ICH) often carries cardiac implications, and serum troponin has been suggested as a predictive biomarker for patients with ICH and other stroke subtypes. We aimed to determine whether previously described associations between troponin and worse outcomes in ICH patients varied based on the presence of atrial fibrillation (AF).
Methods:
We performed a single-center cohort study using data from consecutive ICH patients admitted over 12 months. ICH characteristics and 3-month outcomes were prospectively collected, while admission troponin levels were retrospectively abstracted. We performed ordinal and binary logistic regression to determine associations between elevated troponins (>0.05 ng/mL) and 3-month outcomes (using the modified Rankin Scale [mRS]), with multivariable models adjusted for relevant demographics, ICH severity, and comorbidities including AF, anticoagulation use, coronary artery disease (CAD), and chronic kidney disease (CKD). An interaction variable combining elevated troponin and AF was also included in our models.
Results:
Of 261 ICH patients with troponin measured on admission, 17% (n=44) had elevated troponins. Patients with elevated troponins were not significantly older than patients with normal troponin levels (mean age 74.8±13.6 vs. 70.4±15.4, p=0.08), but were more likely to have AF (36% vs. 21%, p=0.03), CAD (32% vs. 15%, p=0.007), and CKD (16% vs. 5%, p=0.006); ICH size, location, and other predictors were not significantly different between groups. In adjusted models, neither elevated troponin nor AF were independently associated with worse outcomes. However, the interaction between the two was significant (p=0.003), and the presence of elevated admission troponin in the context of AF was significantly associated with worse outcomes (ordinal: common OR 9.8 [95% CI 2.0-47.8]; binary (mRS 4-6): OR 14.4 [95% CI 1.9-106.4]).
Conclusions:
Troponin may be a useful predictive biomarker in ICH patients with underlying AF, potentially signaling higher levels of cardiac and systemic stress in patients with lower cardiac reserve.
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Affiliation(s)
| | | | | | | | | | | | | | - Ali Mahta
- Brown Univ, Alpert Med Sch, Providence, RI
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Reznik ME, Kalagara R, Moody S, Drake J, Margolis S, Mahta A, Rao S, Stretz C, Wendell LC, Thompson BB, Asaad WF, Furie KL, Daiello LA, Jones RN. Abstract TMP92: Serum Markers of Physiologic Stress and Associations With Delirium in Patients With Intracerebral Hemorrhage. Stroke 2020. [DOI: 10.1161/str.51.suppl_1.tmp92] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Delirium occurs frequently in patients with intracerebral hemorrhage (ICH), though its pathogenesis may be multifactorial. Given the potential role of systemic stressors in delirium, we aimed to explore differences in commonly measured markers of physiologic stress between delirious and non-delirious ICH patients.
Methods:
We performed a single-center cohort study using data from consecutive non-comatose ICH patients over 12 months. ICH and patient characteristics were prospectively collected, and the presence of delirium at any point during hospitalization was diagnosed based on DSM-5 criteria. We retrospectively abstracted admission laboratory values and selected three common markers of physiologic stress for comparison: neutrophil-lymphocyte ratio (NLR), troponin, and glucose. Using multivariable models adjusted for demographics, relevant comorbidities, and ICH severity, we determined associations between delirium and the following: NLR, using linear regression; elevated troponin (>0.05 ng/mL), using binary logistic regression; and elevated glucose (categorized as 130-180 or >180 mg/dL), using ordered logistic regression.
Results:
Of 284 ICH patients in our cohort, 55% (n=157) had delirium. Patients with delirium were not significantly older than non-delirious patients (mean age 71.7±16.2 vs. 68.3±15.1, p=0.07), but had larger ICH volumes (mean 23.3±24.6 vs. 7.0±10.6 cc, p<0.001) and were more likely to have intraventricular hemorrhage (55% vs. 22%, p<0.001). Delirious patients also had higher admission NLR (mean 9.0±10.4 vs. 6.4±5.5, p=0.01) and glucose (mean 146.5±59.6 vs. 129.9±41.4 mg/dL, p=0.008), and were more likely to have elevated troponin (21% vs. 10%, p=0.02). In adjusted models, patients with delirium had higher admission NLR than patients who were never delirious (adjusted mean difference 2.6, 95% CI 0.3-4.9), and were more likely to have elevated admission troponin (OR 2.8, 95% CI 1.2-6.4) and glucose (OR 2.0, 95% CI 1.1-3.6).
Conclusions:
Delirium after ICH is independently associated with elevated serum markers of physiologic stress, suggesting that systemic factors may be implicated in delirium pathogenesis.
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Affiliation(s)
| | | | | | | | | | - Ali Mahta
- Brown Univ, Alpert Med Sch, Providence, RI
| | - Shyam Rao
- Brown Univ, Alpert Med Sch, Providence, RI
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Mahta A, Merkler AE, Reznik ME, Burch JE, Yaghi S, Sellke FW, Furie KL, Kamel H. Emphysema: A Potential Risk Factor for Subarachnoid Hemorrhage and Ruptured Aortic Aneurysm. Stroke 2020; 50:992-994. [PMID: 30885079 DOI: 10.1161/strokeaha.118.024660] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose- Protease/antiprotease imbalance is implicated in the pathogenesis of emphysema and may also lead to vessel wall weakening, aneurysm development, and rupture. However, it is unclear whether emphysema is associated with cerebral and aortic aneurysm rupture. Methods- We performed a retrospective cohort study using outpatient and inpatient claims data from 2008 to 2014 from a nationally representative sample of Medicare beneficiaries ≥66 years of age. Our predictor variable was emphysema, and our outcome was hospitalization for either aneurysmal subarachnoid hemorrhage or a ruptured aortic aneurysm. All predictors and outcomes were defined using previously reported International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis code algorithms. Survival statistics and Cox regression were used to compare risk between patients with and without emphysema. Results- We identified 1 670 915 patients, of whom 133 972 had a diagnosis of emphysema. During a mean follow-up period of 4.3 (±1.9) years, we identified 4835 cases of aneurysm rupture, 433 of which occurred in patients with emphysema. The annual incidence of aneurysm rupture was 6.5 (95% CI, 6.4-6.8) per 10 000 in patients without emphysema and 14.6 (95% CI, 13.3-16.0) per 10 000 in patients with emphysema. After adjustment for demographics and known risk factors for aneurysmal disease, emphysema was independently associated with aneurysm rupture (hazard ratio, 1.7; 95% CI, 1.5-1.9). Emphysema was associated with both aneurysmal subarachnoid hemorrhage (hazard ratio, 1.5; 95% CI, 1.3-1.7) and ruptured aortic aneurysm (hazard ratio, 2.3; 95% CI, 1.9-2.8). Conclusions- Patients with emphysema face an increased risk of developing subarachnoid hemorrhage and aortic aneurysm rupture, potentially consistent with shared pathways in pathogenesis.
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Affiliation(s)
- Ali Mahta
- From the Department of Neurology (A.M., M.E.R., S.Y., K.L.F.), Warren Alpert Medical School of Brown University, Providence, RI.,Department of Neurosurgery (A.M., M.E.R.), Warren Alpert Medical School of Brown University, Providence, RI
| | - Alexander E Merkler
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute (A.E.M., J.E.B., H.K.), Weill Cornell Medicine, New York, NY.,Department of Neurology (A.E.M., J.E.B., H.K.), Weill Cornell Medicine, New York, NY
| | - Michael E Reznik
- From the Department of Neurology (A.M., M.E.R., S.Y., K.L.F.), Warren Alpert Medical School of Brown University, Providence, RI.,Department of Neurosurgery (A.M., M.E.R.), Warren Alpert Medical School of Brown University, Providence, RI
| | - Jaclyn E Burch
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute (A.E.M., J.E.B., H.K.), Weill Cornell Medicine, New York, NY.,Department of Neurology (A.E.M., J.E.B., H.K.), Weill Cornell Medicine, New York, NY
| | - Shadi Yaghi
- From the Department of Neurology (A.M., M.E.R., S.Y., K.L.F.), Warren Alpert Medical School of Brown University, Providence, RI
| | - Frank W Sellke
- Division of Cardiothoracic Surgery, Department of Surgery, Cardiovascular Research Center, Rhode Island Hospital (F.W.S.), Warren Alpert Medical School of Brown University, Providence, RI
| | - Karen L Furie
- From the Department of Neurology (A.M., M.E.R., S.Y., K.L.F.), Warren Alpert Medical School of Brown University, Providence, RI
| | - Hooman Kamel
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute (A.E.M., J.E.B., H.K.), Weill Cornell Medicine, New York, NY.,Department of Neurology (A.E.M., J.E.B., H.K.), Weill Cornell Medicine, New York, NY
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Reznik ME, Mahta A, Schmidt JM, Frey HP, Park S, Roh DJ, Agarwal S, Claassen J. Duration of Agitation, Fluctuations of Consciousness, and Associations with Outcome in Patients with Subarachnoid Hemorrhage. Neurocrit Care 2019; 29:33-39. [PMID: 29313314 DOI: 10.1007/s12028-017-0491-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
BACKGROUND Agitation is common after subarachnoid hemorrhage (SAH) and may be independently associated with outcomes. We sought to determine whether the duration of agitation and fluctuating consciousness were also associated with outcomes in patients with SAH. METHODS We identified all patients with positive Richmond Agitation Sedation Scale (RASS) scores from a prospective observational cohort of patients with SAH from 2011 to 2015. Total duration of agitation was extrapolated for each patient using available RASS scores, and 24-h mean and standard deviation (SD) of RASS scores were calculated for each patient. We also calculated each patient's duration of substantial fluctuation of consciousness, defined as the number of days with 24-h RASS SD > 1. Patients were stratified by 3-month outcome using the modified Rankin scale, and associations with outcome were assessed via logistic regression. RESULTS There were 98 patients with at least one positive RASS score, with median total duration of agitation 8 h (interquartile range [IQR] 4-18), and median duration of substantially fluctuating consciousness 2 days (IQR 1-3). Unfavorable 3-month outcome was significantly associated with a longer duration of fluctuating consciousness (odds ratio [OR] per day, 1.51; 95% confidence interval [CI], 1.04-2.20; p = 0.031), but a briefer duration of agitation (OR per hour, 0.94; 95% CI, 0.89-0.99; p = 0.031). CONCLUSION Though a longer duration of fluctuating consciousness was associated with worse outcomes in our cohort, total duration of agitation was not, and may have had the opposite effect. Our findings should therefore challenge the intensity with which agitation is often treated in SAH patients.
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Affiliation(s)
- Michael E Reznik
- Department of Neurology, Warren Alpert Medical School at Brown University, Providence, RI, USA
| | - Ali Mahta
- Department of Neurology, Warren Alpert Medical School at Brown University, Providence, RI, USA
| | - J Michael Schmidt
- Department of Neurology, Columbia University Medical Center, 177 Fort Washington Avenue, Milstein Hospital Building, Suite 8GS-300, New York, NY, 10032, USA
| | - Hans-Peter Frey
- Department of Neurology, Columbia University Medical Center, 177 Fort Washington Avenue, Milstein Hospital Building, Suite 8GS-300, New York, NY, 10032, USA
| | - Soojin Park
- Department of Neurology, Columbia University Medical Center, 177 Fort Washington Avenue, Milstein Hospital Building, Suite 8GS-300, New York, NY, 10032, USA
| | - David J Roh
- Department of Neurology, Columbia University Medical Center, 177 Fort Washington Avenue, Milstein Hospital Building, Suite 8GS-300, New York, NY, 10032, USA
| | - Sachin Agarwal
- Department of Neurology, Columbia University Medical Center, 177 Fort Washington Avenue, Milstein Hospital Building, Suite 8GS-300, New York, NY, 10032, USA
| | - Jan Claassen
- Department of Neurology, Columbia University Medical Center, 177 Fort Washington Avenue, Milstein Hospital Building, Suite 8GS-300, New York, NY, 10032, USA.
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Dakay K, Mahta A, Rao S, Reznik ME, Wendell LC, Thompson BB, Potter NS, Saad A, Gandhi CD, Santarelli J, Al-Mufti F, MacGrory B, Burton T, Jayaraman MV, McTaggart RA, Furie K, Yaghi S, Cutting S. Yield of diagnostic imaging in atraumatic convexity subarachnoid hemorrhage. J Neurointerv Surg 2019; 11:1222-1226. [PMID: 31076550 DOI: 10.1136/neurintsurg-2019-014781] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/08/2019] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Atraumatic convexity subarachnoid hemorrhage is a subtype of spontaneous subarachnoid hemorrhage that often presents a diagnostic challenge. Common etiologies include cerebral amyloid angiopathy, vasculopathies, and coagulopathy; however, aneurysm is rare. Given the broad differential of causes of convexity subarachnoid hemorrhage, we assessed the diagnostic yield of common tests and propose a testing strategy. METHODS We performed a single-center retrospective study on consecutive patients with atraumatic convexity subarachnoid hemorrhage over a 2-year period. We obtained and reviewed each patient's imaging and characterized the frequency with which each test ultimately diagnosed the cause. Additionally, we discuss clinical features of patients with convexity subarachnoid hemorrhage with respect to the mechanism of hemorrhage. RESULTS We identified 70 patients over the study period (mean (SD) age 64.70 (16.9) years, 35.7% men), of whom 58 patients (82%) had a brain MRI, 57 (81%) had non-invasive vessel imaging, and 27 (38.5%) underwent catheter-based angiography. Diagnoses were made using only non-invasive imaging modalities in 40 patients (57%), while catheter-based angiography confirmed the diagnosis in nine patients (13%). Further clinical history and laboratory testing yielded a diagnosis in an additional 17 patients (24%), while the cause remained unknown in four patients (6%). CONCLUSION The etiology of convexity subarachnoid hemorrhage may be diagnosed in most cases via non-invasive imaging and a thorough clinical history. However, catheter angiography should be strongly considered when non-invasive imaging fails to reveal the diagnosis or to better characterize a vascular malformation. Larger prospective studies are needed to validate this algorithm.
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Affiliation(s)
- Katarina Dakay
- Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA
| | - Ali Mahta
- Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.,Department of Neurosurgery, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA
| | - Shyam Rao
- Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.,Department of Neurosurgery, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA
| | - Michael E Reznik
- Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.,Department of Neurosurgery, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA
| | - Linda C Wendell
- Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.,Department of Neurosurgery, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA
| | - Bradford B Thompson
- Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.,Department of Neurosurgery, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA
| | - N Stevenson Potter
- Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.,Department of Neurosurgery, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA
| | - Ali Saad
- Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA
| | - Chirag D Gandhi
- Department of Neurosurgery, Westchester Medical Center at New York Medical College, Valhalla, New York, USA
| | - Justin Santarelli
- Department of Neurosurgery, Westchester Medical Center at New York Medical College, Valhalla, New York, USA
| | - Fawaz Al-Mufti
- Department of Neurosurgery, Westchester Medical Center at New York Medical College, Valhalla, New York, USA
| | - Brian MacGrory
- Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA
| | - Tina Burton
- Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA
| | - Mahesh V Jayaraman
- Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.,Department of Neurosurgery, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.,Department of Diagnostic Imaging, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA
| | - Ryan A McTaggart
- Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.,Department of Neurosurgery, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.,Department of Diagnostic Imaging, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA
| | - Karen Furie
- Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA
| | - Shadi Yaghi
- Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.,Department of Neurology, NYU Langone Health, New York, New York, USA
| | - Shawna Cutting
- Department of Neurology, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA
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Reznik ME, Drake J, Margolis SA, Moody S, Murray K, Costa S, Mac Grory BC, Yaghi S, Mahta A, Wendell LC, Thompson BB, Rao SS, Daiello LA, Asaad WF, Jones RN, Furie KL. Abstract WP413: Deconstructing Post-Stroke Delirium in a Prospective Cohort of Patients With Intracerebral Hemorrhage. Stroke 2019. [DOI: 10.1161/str.50.suppl_1.wp413] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
| | | | | | - Scott Moody
- Alpert Med Sch at Brown Univ, Providence, RI
| | | | | | | | - Shadi Yaghi
- Alpert Med Sch at Brown Univ, Providence, RI
| | - Ali Mahta
- Alpert Med Sch at Brown Univ, Providence, RI
| | | | | | - Shyam S Rao
- Alpert Med Sch at Brown Univ, Providence, RI
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Fakhri NH, Moody S, Murray K, Costa S, Yaghi S, Burton TM, Cutting S, Mahta A, Wendell LC, Thompson BB, Rao SS, Potter NS, Furie KL, Mac Grory BC, Reznik ME. Abstract WP458: Blood Pressure at Hospital Arrival Does Not Reliably Distinguish Hypertensive Intracerebral Hemorrhage. Stroke 2019. [DOI: 10.1161/str.50.suppl_1.wp458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Hypertension is a known risk factor for intracerebral hemorrhage (ICH), but it is unclear whether blood pressure (BP) elevation at hospital arrival can reliably distinguish ICH caused by hypertensive angiopathy from other potential etiologies.
Methods:
We performed a retrospective single-center cohort study using data from consecutive patients admitted with ICH from February-June 2018. Presumed ICH etiology, location, and other clinical predictors were prospectively adjudicated by two attending neurologists. We compared patients’ first recorded systolic BP (SBP) and mean arterial pressure (MAP) at hospital arrival stratified by hypertensive vs. non-hypertensive primary ICH etiology, with further adjustment for demographics and initial arrival location (direct arrival vs. transfer) using linear regression models. In a sensitivity analysis, we used ICH location (deep, lobar, or infratentorial) rather than etiology in our models to account for potential subjectivity in adjudication.
Results:
There were 110 ICH patients in our cohort (mean age 69.1 [SD 17.7], 55% male, median ICH score 1.5 [IQR 1-2]). The most frequent ICH etiologies were hypertension (58%), cerebral amyloid angiopathy (19%), vascular lesions (6%), and malignancy (5%); 43% of hemorrhages occurred in deep subcortical locations, 37% were lobar, and 14% were infratentorial. Mean SBP and MAP for patients with hypertensive ICH was 158.8 (SD 29.7) and 109.0 (SD 18.3), respectively, compared to 157.1 (SD 33.4) and 108.2 (SD 21.2) in patients with ICH caused by other etiologies (p=0.78; p=0.82). Fully-adjusted regression models showed that, relative to hypertensive ICH, those caused by non-hypertensive etiologies had similar arrival BP (mean SBP and MAP difference [95% CI], -0.2 [-12.3-11.8] and -0.8 [-8.4-6.8], respectively). In a sensitivity analysis, we found that lobar and infratentorial ICH had similar arrival BP relative to deep ICH (mean SBP and MAP difference [95% CI] 2.1 [-11.1-15.3] and 0.2 [-8.3-8.6] for lobar ICH; 6.5 [-12.0-25.0] and 3.8 [-8.0-15.6] for infratentorial ICH).
Conclusion:
BP at hospital arrival should not be used as a primary determinant of likely ICH etiology, as hypertension may be implicated in various subtypes of ICH.
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Affiliation(s)
- Nasir H Fakhri
- Alpert Med Sch Brown Univ/Rhode Island Hosp, Providence, RI
| | | | | | | | | | | | | | - Ali Mahta
- Rhode Island Hosp/Lifespan, Providence, RI
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Reznik ME, Mac Grory BC, Moody S, Murray K, Costa S, Yaghi S, Burton TM, Cutting S, Mahta A, Wendell LC, Thompson BB, Rao SS, Asaad WF, Jones RN, Furie KL. Abstract WP443: The Impact of Delirium and Impaired Consciousness on Withdrawal of Life-Sustaining Treatment After Spontaneous Intracerebral Hemorrhage. Stroke 2019. [DOI: 10.1161/str.50.suppl_1.wp443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Established predictors for outcome after intracerebral hemorrhage (ICH) may be subject to self-fulfilling prophecy, as studies examining their effects on mortality have generally not considered changes in code status leading to withdrawal of life-sustaining treatment (WLST). We aimed to identify factors specifically associated with WLST, and hypothesized that impaired consciousness and delirium would be especially implicated.
Methods:
We analyzed data from consecutive patients admitted with ICH from February-June 2018. ICH score and other clinical predictors were prospectively adjudicated, and most patients had delirium assessments performed by an expert clinician; for those who did not, we established the presence of probable delirium via chart review. Using logistic regression models that adjusted for ICH severity, we determined the association of impaired consciousness on admission (Glasgow Coma Scale [GCS] <13) with early WLST (defined as <24 hours from admission), and the presence of delirium on subsequent assessments with WLST after 24 hours.
Results:
Of 106 patients in our cohort (mean age 68.7 [SD 17.8], median ICH score 1.5 [IQR 1-2]), WLST occurred in 29% (22/40 with admission GCS <13, 9/66 with GCS 13-15). After adjusting for ICH severity, admission GCS <13 was more strongly associated with early WLST (OR 26.8, 95% CI 2.8-255.8) than other components of the ICH score (OR 9.9, 95% CI 1.5-67.0 for age >80; OR 8.4, 95% CI 1.7-40.7 for size >30cc; intraventricular hemorrhage and infratentorial location were not significant). Of 92 patients who survived >24 hours without early WLST, 52% had delirium. We found that delirious patients were significantly more likely than patients without delirium to have subsequent WLST (33% vs. 2%, p<0.001; OR 18.8, 95% CI 2.1-165.5 after adjusting for ICH severity). Finally, we found that a composite predictor—initial GCS <13 or subsequent delirium—was strongly associated with WLST at any time during hospitalization (OR 19.0, 95% CI 2.3-158.0 after adjusting for ICH severity).
Conclusion:
Impaired consciousness and delirium likely play a significant role in WLST after ICH. However, whether this phenomenon is due to effects on clinician or surrogate decision-making remains unclear.
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Affiliation(s)
| | | | - Scott Moody
- Alpert Med Sch at Brown Univ, Providence, RI
| | | | | | - Shadi Yaghi
- Alpert Med Sch at Brown Univ, Providence, RI
| | | | | | - Ali Mahta
- Alpert Med Sch at Brown Univ, Providence, RI
| | | | | | - Shyam S Rao
- Alpert Med Sch at Brown Univ, Providence, RI
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50
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Reznik ME, Wagner AK. Rehabilitation in Neurocritical Care. Neurocrit Care 2018. [DOI: 10.1093/med/9780199375349.003.0027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Rehabilitation is a process that should begin in the neurointensive care unit. Once a rough prognosis has been made within the context of goals of care discussions, and a decision has been made to proceed with measures geared toward recovery, the focus of clinical care should begin to shift toward the transition to rehabilitation in order to maximize functional gains. In the acute care setting, this necessitates the collaboration of a multidisciplinary team, including physical medicine and rehabilitation, physical and occupational therapy, speech and language pathology, neuropsychology, social work, and nursing. Among the most challenging issues facing intensivists and the rehabilitation team in the critical care setting is the management of the various rehabilitation-related medical complications associated with acquired brain injury, including decreased level of arousal, agitation, sleep disturbances, depression, dysautonomia, bowel and bladder dysfunction, and spasticity. This chapter highlights current management strategies for dealing with these issues.
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