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Yang S, Hu P, Kalpakis K, Burdette B, Chen H, Parikh G, Felix R, Podell J, Badjatia N. Utilizing ultra-early continuous physiologic data to develop automated measures of clinical severity in a traumatic brain injury population. Sci Rep 2024; 14:7618. [PMID: 38556518 PMCID: PMC10982286 DOI: 10.1038/s41598-024-57538-5] [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: 10/31/2023] [Accepted: 03/19/2024] [Indexed: 04/02/2024] Open
Abstract
Determination of prognosis in the triage process after traumatic brain injury (TBI) is difficult to achieve. Current severity measures like the Trauma and injury severity score (TRISS) and revised trauma score (RTS) rely on additional information from the Glasgow Coma Scale (GCS) and the Injury Severity Score (ISS) which may be inaccurate or delayed, limiting their usefulness in the rapid triage setting. We hypothesized that machine learning based estimations of GCS and ISS obtained through modeling of continuous vital sign features could be used to rapidly derive an automated RTS and TRISS. We derived variables from electrocardiograms (ECG), photoplethysmography (PPG), and blood pressure using continuous data obtained in the first 15 min of admission to build machine learning models of GCS and ISS (ML-GCS and ML-ISS). We compared the TRISS and RTS using ML-ISS and ML-GCS and its value using the actual ISS and GCS in predicting in-hospital mortality. Models were tested in TBI with systemic injury (head abbreviated injury scale (AIS) ≥ 1), and isolated TBI (head AIS ≥ 1 and other AIS ≤ 1). The area under the receiver operating characteristic curve (AUROC) was used to evaluate model performance. A total of 21,077 cases (2009-2015) were in the training set. 6057 cases from 2016 to 2017 were used for testing, with 472 (7.8%) severe TBI (GCS 3-8), 223 (3.7%) moderate TBI (GCS 9-12), and 5913 (88.5%) mild TBI (GCS 13-15). In the TBI with systemic injury group, ML-TRISS had similar AUROC (0.963) to TRISS (0.965) in predicting mortality. ML-RTS had AUROC (0.823) and RTS had AUROC 0.928. In the isolated TBI group, ML-TRISS had AUROC 0.977, and TRISS had AUROC 0.983. ML-RTS had AUROC 0.790 and RTS had AUROC 0.957. Estimation of ISS and GCS from machine learning based modeling of vital sign features can be utilized to provide accurate assessments of the RTS and TRISS in a population of TBI patients. Automation of these scores could be utilized to enhance triage and resource allocation during the ultra-early phase of resuscitation.
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Affiliation(s)
- Shiming Yang
- Program in Trauma, University of Maryland School of Medicine, 22. S. Greene Street, G7K19, Baltimore, MD, 21201, USA
- Department of Anesthesiology, University of Maryland School of Medicine, Baltimore, USA
| | - Peter Hu
- Program in Trauma, University of Maryland School of Medicine, 22. S. Greene Street, G7K19, Baltimore, MD, 21201, USA
- Department of Anesthesiology, University of Maryland School of Medicine, Baltimore, USA
| | - Konstantinos Kalpakis
- Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, USA
| | - Bradford Burdette
- Program in Trauma, University of Maryland School of Medicine, 22. S. Greene Street, G7K19, Baltimore, MD, 21201, USA
- Department of Anesthesiology, University of Maryland School of Medicine, Baltimore, USA
| | - Hegang Chen
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, USA
| | - Gunjan Parikh
- Program in Trauma, University of Maryland School of Medicine, 22. S. Greene Street, G7K19, Baltimore, MD, 21201, USA
- Department of Neurology, University of Maryland School of Medicine, Baltimore, USA
| | - Ryan Felix
- Fischell Department of Bioengineering, University of Maryland, College Park, USA
| | - Jamie Podell
- Program in Trauma, University of Maryland School of Medicine, 22. S. Greene Street, G7K19, Baltimore, MD, 21201, USA
- Department of Neurology, University of Maryland School of Medicine, Baltimore, USA
| | - Neeraj Badjatia
- Program in Trauma, University of Maryland School of Medicine, 22. S. Greene Street, G7K19, Baltimore, MD, 21201, USA.
- Department of Neurology, University of Maryland School of Medicine, Baltimore, USA.
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Liang X, Saleh MG, Xu S, Mayer D, Roys S, Raghavan P, Badjatia N, Gullapalli RP, Zhuo J. Simultaneous Measurement of GABA, Glutathione, and Glutamate-Glutamine in the Thalamus using Edited MR Spectroscopy: Feasibility and Applications in Traumatic Brain Injury. J Magn Reson Imaging 2024. [PMID: 38363087 DOI: 10.1002/jmri.29299] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 01/31/2024] [Accepted: 02/01/2024] [Indexed: 02/17/2024] Open
Abstract
BACKGROUND MR spectroscopy (MRS) is a noninvasive tool for evaluating biochemical alterations, such as glutamate (Glu)/gamma-aminobutyric acid (GABA) imbalance and depletion of antioxidative glutathione (GSH) after traumatic brain injury (TBI). Thalamus, a critical and vulnerable region post-TBI, is challenging for MRS acquisitions, necessitating optimization to simultaneously measure GABA/Glu and GSH. PURPOSE To assess the feasibility and optimize acquisition and processing approaches for simultaneously measuring GABA, Glx (Glu + glutamine (Gln)), and GSH in the thalamus, employing Hadamard encoding and reconstruction of MEscher-GArwood (MEGA)-edited spectroscopy (HERMES). STUDY TYPE Prospective. SUBJECTS 28 control subjects (age: 35.9 ± 15.1 years), and 17 mild TBI (mTBI) patients (age: 32.4 ± 11.3 years). FIELD STRENGTH/SEQUENCE 3T/T1-weighted magnetization-prepared rapid gradient-echo (MP-RAGE), HERMES. ASSESSMENT We evaluated the impact of acquisition with spatial saturation bands and post-processing with spectral alignment on HERMES performance in the thalamus among controls. Within-subject variability was examined in five controls through repeated scans within a week. The HERMES spectra in the posterior cingulate cortex (PCC) of controls were used as a reference for assessing HERMES performance in a reliable target. Furthermore, we compared metabolite levels and fitting quality in the thalamus between mTBI patients and controls. STATISTICAL TESTS Unpaired t-tests and within-subject coefficient-of-variation (CV). A P-value <0.05 was deemed significant. RESULTS HERMES spectra, acquired with saturation bands and processed with spectral alignment, yielded reliable metabolite measurements in the thalamus. The mean within-subject CV for GABA, Glx, and GSH levels were 18%, 10%, and 16% in the thalamus (7%, 9%, and 16% in the PCC). GABA (3.20 ± 0.60 vs 2.51 ± 0.55, P < 0.01) and Glx (8.69 ± 1.23 vs 7.72 ± 1.19, P = 0.03) levels in the thalamus were significantly higher in mTBI patients than in controls, with GSH (1.27 ± 0.35 vs 1.22 ± 0.28, P = 0.65) levels showing no significant difference. DATA CONCLUSION Simultaneous measuring GABA/Glx and GSH using HERMES is feasible in the thalamus, providing valuable insight into TBI. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Xiao Liang
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Muhammad G Saleh
- Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Su Xu
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Dirk Mayer
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Steven Roys
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Prashant Raghavan
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Neeraj Badjatia
- Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Rao P Gullapalli
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Jiachen Zhuo
- Center for Advanced Imaging Research, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
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Zhuo J, Raghavan P, Shao M, Roys S, Liang X, Tchoquessi RLN, Rhodes CS, Badjatia N, Prince JL, Gullapalli RP. Automatic Quantification of Enlarged Perivascular Space in Patients With Traumatic Brain Injury Using Super-Resolution of T2-Weighted Images. J Neurotrauma 2024; 41:407-419. [PMID: 37950721 PMCID: PMC10837035 DOI: 10.1089/neu.2023.0082] [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] [Indexed: 11/13/2023] Open
Abstract
The perivascular space (PVS) is important to brain waste clearance and brain metabolic homeostasis. Enlarged PVS (ePVS) becomes visible on magnetic resonance imaging (MRI) and is best appreciated on T2-weighted (T2w) images. However, quantification of ePVS is challenging because standard-of-care T1-weighted (T1w) and T2w images are often obtained via two-dimensional (2D) acquisition, whereas accurate quantification of ePVS normally requires high-resolution volumetric three-dimensional (3D) T1w and T2w images. The purpose of this study was to investigate the use of a deep-learning-based super-resolution (SR) technique to improve ePVS quantification from 2D T2w images for application in patients with traumatic brain injury (TBI). We prospectively recruited 26 volunteers (age: 31 ± 12 years, 12 male/14 female) where both 2D T2w and 3D T2w images were acquired along with 3D T1w images to validate the ePVS quantification using SR T2w images. We then applied the SR method to retrospectively acquired 2D T2w images in 41 patients with chronic TBI (age: 41 ± 16 years, 32 male/9 female). ePVS volumes were automatically quantified within the whole-brain white matter and major brain lobes (temporal, parietal, frontal, occipital) in all subjects. Pittsburgh Sleep Quality Index (PSQI) scores were obtained on all patients with TBI. Compared with the silver standard (3D T2w), in the validation study, the SR T2w provided similar whole-brain white matter ePVS volume (r = 0.98, p < 0.0001), and similar age-related ePVS burden increase (r = 0.80, p < 0.0001). In the patient study, patients with TBI with poor sleep showed a higher age-related ePVS burden increase than those with good sleep. Sleep status is a significant interaction factor in the whole brain (p = 0.047) and the frontal lobe (p = 0.027). We demonstrate that images produced by SR of 2D T2w images can be automatically analyzed to produce results comparable to those obtained by 3D T2 volumes. Reliable age-related ePVS burden across the whole-brain white matter was observed in all subjects. Poor sleep, affecting the glymphatic function, may contribute to the accelerated increase of ePVS burden following TBI.
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Affiliation(s)
- Jiachen Zhuo
- Center for Advanced Imaging Research, Neurosurgery, and Anesthesiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Diagnostic Radiology and Nuclear Medicine, Neurosurgery, and Anesthesiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Prashant Raghavan
- Department of Diagnostic Radiology and Nuclear Medicine, Neurosurgery, and Anesthesiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Muhan Shao
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| | - Steven Roys
- Center for Advanced Imaging Research, Neurosurgery, and Anesthesiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Diagnostic Radiology and Nuclear Medicine, Neurosurgery, and Anesthesiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Xiao Liang
- Center for Advanced Imaging Research, Neurosurgery, and Anesthesiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Diagnostic Radiology and Nuclear Medicine, Neurosurgery, and Anesthesiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Rosy Linda Njonkou Tchoquessi
- Center for Advanced Imaging Research, Neurosurgery, and Anesthesiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Diagnostic Radiology and Nuclear Medicine, Neurosurgery, and Anesthesiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Chandler Sours Rhodes
- National Intrepid Center of Excellence, Walter Reed National Military Medical Cent5r, Bethesda, Maryland, USA
| | - Neeraj Badjatia
- Department of Neurology, Neurosurgery, and Anesthesiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Jerry L. Prince
- National Intrepid Center of Excellence, Walter Reed National Military Medical Cent5r, Bethesda, Maryland, USA
| | - Rao P. Gullapalli
- Center for Advanced Imaging Research, Neurosurgery, and Anesthesiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Diagnostic Radiology and Nuclear Medicine, Neurosurgery, and Anesthesiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
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Woodward MR, Kardon A, Manners J, Schleicher S, Pergakis MB, Ciryam P, Podell J, Denney Zimmerman W, Galvagno SM, Butt B, Pritchard J, Parikh GY, Gilmore EJ, Badjatia N, Morris NA. Comparison of induction agents for rapid sequence intubation in refractory status epilepticus: A single-center retrospective analysis. Epilepsy Behav Rep 2024; 25:100645. [PMID: 38299124 PMCID: PMC10827579 DOI: 10.1016/j.ebr.2024.100645] [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: 11/29/2023] [Revised: 01/02/2024] [Accepted: 01/03/2024] [Indexed: 02/02/2024] Open
Abstract
Endotracheal intubation, frequently required during management of refractory status epilepticus (RSE), can be facilitated by anesthetic medications; however, their effectiveness for RSE control is unknown. We performed a single-center retrospective review of patients admitted to a neurocritical care unit (NCCU) who underwent in-hospital intubation during RSE management. Patients intubated with propofol, ketamine, or benzodiazepines, termed anti-seizure induction (ASI), were compared to patients who received etomidate induction (EI). The primary endpoint was clinical or electrographic seizures within 12 h post-intubation. We estimated the association of ASI on post-intubation seizure using logistic regression. A sub-group of patients undergoing electroencephalography during intubation was identified to evaluate the immediate effect of ASI on RSE. We screened 697 patients admitted to the NCCU for RSE and identified 148 intubated in-hospital (n = 90 ASI, n = 58 EI). There was no difference in post-intubation seizure (26 % (n = 23) ASI, 29 % (n = 17) EI) in the cohort, however, there was increased RSE resolution with ASI in 24 patients with electrographic RSE during intubation (ASI: 61 % (n = 11/18) vs EI: 0 % (n = 0/6), p =.016). While anti-seizure induction did not appear to affect post-intubation seizure occurrence overall, a sub-group of patients undergoing electroencephalography during intubation had a higher incidence of seizure cessation, suggesting potential benefit in an enriched population.
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Affiliation(s)
- Matthew R. Woodward
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, 22 S Greene St., Baltimore, MD, USA
| | - Adam Kardon
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, 22 S Greene St., Baltimore, MD, USA
| | - Jody Manners
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, 22 S Greene St., Baltimore, MD, USA
| | - Samantha Schleicher
- Department of Internal Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Melissa B. Pergakis
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, 22 S Greene St., Baltimore, MD, USA
| | - Prajwal Ciryam
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, 22 S Greene St., Baltimore, MD, USA
| | - Jamie Podell
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, 22 S Greene St., Baltimore, MD, USA
| | - William Denney Zimmerman
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, 22 S Greene St., Baltimore, MD, USA
| | - Samuel M. Galvagno
- Department of Anesthesiology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Bilal Butt
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, 22 S Greene St., Baltimore, MD, USA
| | - Jennifer Pritchard
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Gunjan Y. Parikh
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, 22 S Greene St., Baltimore, MD, USA
| | - Emily J. Gilmore
- Department of Neurology, Yale University School of Medicine, 20 York Street, New Haven, CT, USA
| | - Neeraj Badjatia
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, 22 S Greene St., Baltimore, MD, USA
| | - Nicholas A. Morris
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, 22 S Greene St., Baltimore, MD, USA
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Yang S, Galvagno S, Badjatia N, Stein D, Teeter W, Scalea T, Shackelford S, Fang R, Miller C, Hu P. A Novel Continuous Real-Time Vital Signs Viewer for Intensive Care Units: Design and Evaluation Study. JMIR Hum Factors 2024; 11:e46030. [PMID: 38180791 PMCID: PMC10799282 DOI: 10.2196/46030] [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: 02/27/2023] [Revised: 11/03/2023] [Accepted: 11/20/2023] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND Clinicians working in intensive care units (ICUs) are immersed in a cacophony of alarms and a relentless onslaught of data. Within this frenetic environment, clinicians make high-stakes decisions using many data sources and are often oversaturated with information of varying quality. Traditional bedside monitors only depict static vital signs data, and these data are not easily viewable remotely. Clinicians must rely on separate nursing charts-handwritten or electric-to review physiological patterns, including signs of potential clinical deterioration. An automated physiological data viewer has been developed to provide at-a-glance summaries and to assist with prioritizing care for multiple patients who are critically ill. OBJECTIVE This study aims to evaluate a novel vital signs viewer system in a level 1 trauma center by subjectively assessing the viewer's utility in a high-volume ICU setting. METHODS ICU attendings were surveyed during morning rounds. Physicians were asked to conduct rounds normally, using data reported from nurse charts and briefs from fellows to inform their clinical decisions. After the physician finished their assessment and plan for the patient, they were asked to complete a questionnaire. Following completion of the questionnaire, the viewer was presented to ICU physicians on a tablet personal computer that displayed the patient's physiologic data (ie, shock index, blood pressure, heart rate, temperature, respiratory rate, and pulse oximetry), summarized for up to 72 hours. After examining the viewer, ICU physicians completed a postview questionnaire. In both questionnaires, the physicians were asked questions regarding the patient's stability, status, and need for a higher or lower level of care. A hierarchical clustering analysis was used to group participating ICU physicians and assess their general reception of the viewer. RESULTS A total of 908 anonymous surveys were collected from 28 ICU physicians from February 2015 to June 2017. Regarding physicians' perception of whether the viewer enhanced the ability to assess multiple patients in the ICU, 5% (45/908) strongly agreed, 56.6% (514/908) agreed, 35.3% (321/908) were neutral, 2.9% (26/908) disagreed, and 0.2% (2/908) strongly disagreed. CONCLUSIONS Morning rounds in a trauma center ICU are conducted in a busy environment with many data sources. This study demonstrates that organized physiologic data and visual assessment can improve situation awareness, assist clinicians with recognizing changes in patient status, and prioritize care.
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Affiliation(s)
- Shiming Yang
- Department of Anesthesiology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Samuel Galvagno
- Department of Anesthesiology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Neeraj Badjatia
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Deborah Stein
- Department of Surgery, University of Maryland School of Medicine, Baltimore, MD, United States
| | - William Teeter
- Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Thomas Scalea
- Department of Surgery, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Stacy Shackelford
- United States Air Force Academy, Colorado Springs, CO, United States
| | - Raymond Fang
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Catriona Miller
- Department of Surgery, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Peter Hu
- Department of Anesthesiology, University of Maryland School of Medicine, Baltimore, MD, United States
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Gusdon AM, Savarraj JPJ, Redell JB, Paz A, Hinds S, Burkett A, Torres G, Ren X, Badjatia N, Hergenroeder GW, Moore AN, Choi HA, Dash PK. Lysophospholipids Are Associated With Outcomes in Hospitalized Patients With Mild Traumatic Brain Injury. J Neurotrauma 2024; 41:59-72. [PMID: 37551969 PMCID: PMC11071087 DOI: 10.1089/neu.2023.0046] [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] [Indexed: 08/09/2023] Open
Abstract
Mild traumatic brain injury (mTBI) accounts for 70-90% of all TBI cases. Lipid metabolites have important roles in plasma membrane biogenesis, function, and cell signaling. As TBI can compromise plasma membrane integrity and alter brain cell function, we sought to identify circulating phospholipid alterations after mTBI, and determine if these changes were associated with clinical outcomes. Patients with mTBI (Glasgow Coma Score [GCS] ≥13 and loss of consciousness <30 min) were recruited. A total of 84 mTBI subjects were enrolled after admission to a level I trauma center, with the majority having evidence of traumatic intracranial hemorrhage on brain computed tomography (CT). Plasma samples were collected within 24 h of injury with 32 mTBI subjects returning at 3 months after injury for a second plasma sample to be collected. Thirty-five healthy volunteers were enrolled as controls and had a one-time blood draw. Lipid metabolomics was performed on plasma samples from each subject. Fold change of selected lipid metabolites was determined. Multivariable regression models were created to test associations between lipid metabolites and discharge and 6-month Glasgow Outcomes Scale-Extended (GOSE) outcomes (dichotomized between "good" [GOSE ≥7] and "bad" [GOSE ≤6] functional outcomes). Plasma levels of 31 lipid metabolites were significantly associated with discharge GOSE using univariate models; three of these metabolites were significantly increased, while 14 were significantly decreased in subjects with good outcomes compared with subjects with poor outcomes. In multivariable logistic regression models, higher circulating levels of the lysophospholipids (LPL) 1-linoleoyl-glycerophosphocholine (GPC) (18:2), 1-linoleoyl-GPE (18:2), and 1-linolenoyl-GPC (18:3) were associated with both good discharge GOSE (odds ratio [OR] 12.2 [95% CI 3.35, 58.3], p = 5.23 × 10-4; OR 9.43 [95% CI 2.87, 39.6], p = 7.26 × 10-4; and OR 5.26 [95% CI 1.99, 16.7], p = 2.04 × 10-3, respectively) and 6-month (OR 4.67 [95% CI 1.49, 17.7], p = 0.013; OR 2.93 [95% CI 1.11, 8.87], p = 0.039; and OR 2.57 [95% CI 1.08, 7.11], p = 0.046, respectively). Compared with healthy volunteers, circulating levels of these three LPLs were decreased early after injury and had normalized by 3 months after injury. Logistic regression models to predict functional outcomes were created by adding each of the described three LPLs to a baseline model that included age and sex. Including 1-linoleoyl-GPC (18:2) (8.20% improvement, p = 0.009), 1-linoleoyl-GPE (18:2) (8.85% improvement, p = 0.021), or 1-linolenoyl-GPC (18:3) (7.68% improvement, p = 0.012), significantly improved the area under the curve (AUC) for predicting discharge outcomes compared with the baseline model. Models including 1-linoleoyl-GPC (18:2) significantly improved AUC for predicting 6-month outcomes (9.35% improvement, p = 0.034). Models including principal components derived from 25 LPLs significantly improved AUC for prediction of 6-month outcomes (16.0% improvement, p = 0.020). Our results demonstrate that higher plasma levels of LPLs (1-linoleoyl-GPC, 1-linoleoyl-GPE, and 1-linolenoyl-GPC) after mTBI are associated with better functional outcomes at discharge and 6 months after injury. This class of phospholipids may represent a potential therapeutic target.
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Affiliation(s)
- Aaron M. Gusdon
- Division of Neurocritical Care, Department of Neurosurgery, McGovern School of Medicine, University of Texas Health Science Center, Houston, Texas, USA
| | - Jude PJ Savarraj
- Division of Neurocritical Care, Department of Neurosurgery, McGovern School of Medicine, University of Texas Health Science Center, Houston, Texas, USA
| | - John B. Redell
- Department of Neurobiology and Anatomy, McGovern School of Medicine, University of Texas Health Science Center, Houston, Texas, USA
| | - Atzhiry Paz
- Division of Neurocritical Care, Department of Neurosurgery, McGovern School of Medicine, University of Texas Health Science Center, Houston, Texas, USA
| | - Sarah Hinds
- Division of Neurocritical Care, Department of Neurosurgery, McGovern School of Medicine, University of Texas Health Science Center, Houston, Texas, USA
| | - Angela Burkett
- Division of Neurocritical Care, Department of Neurosurgery, McGovern School of Medicine, University of Texas Health Science Center, Houston, Texas, USA
| | - Glenda Torres
- Division of Neurocritical Care, Department of Neurosurgery, McGovern School of Medicine, University of Texas Health Science Center, Houston, Texas, USA
| | - Xuefang Ren
- Division of Neurocritical Care, Department of Neurosurgery, McGovern School of Medicine, University of Texas Health Science Center, Houston, Texas, USA
| | - Neeraj Badjatia
- Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Georgene W. Hergenroeder
- Division of Neurocritical Care, Department of Neurosurgery, McGovern School of Medicine, University of Texas Health Science Center, Houston, Texas, USA
| | - Anthony N. Moore
- Department of Neurobiology and Anatomy, McGovern School of Medicine, University of Texas Health Science Center, Houston, Texas, USA
| | - H. Alex Choi
- Division of Neurocritical Care, Department of Neurosurgery, McGovern School of Medicine, University of Texas Health Science Center, Houston, Texas, USA
| | - Pramod K. Dash
- Department of Neurobiology and Anatomy, McGovern School of Medicine, University of Texas Health Science Center, Houston, Texas, USA
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Beqiri E, Badjatia N, Ercole A, Foreman B, Hu P, Hu X, LaRovere K, Meyfroidt G, Moberg D, Robba C, Rosenthal ES, Smielewski P, Wainwright MS, Park S. Correction: Common Data Elements for Disorders of Consciousness: Recommendations from the Working Group on Physiology and Big Data. Neurocrit Care 2023:10.1007/s12028-023-01894-z. [PMID: 38057543 DOI: 10.1007/s12028-023-01894-z] [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] [Indexed: 12/08/2023]
Affiliation(s)
- Erta Beqiri
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Neeraj Badjatia
- Program in Trauma, Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ari Ercole
- Division of Anaesthesia, University of Cambridge, Cambridge, UK
| | | | - Peter Hu
- Program in Trauma, Departments of Anesthesiology and Surgery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Xiao Hu
- School of Nursing, Emory University, Atlanta, GA, USA
| | - Kerri LaRovere
- Department of Neurology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - Geert Meyfroidt
- Department and Laboratory of Intensive Care Medicine, University Hospitals Leuven and KU Leuven, Louvain, Belgium
| | - Dick Moberg
- Moberg Analytics, Inc, Philadelphia, PA, USA
| | - Chiara Robba
- Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Martino, Genoa, Italy
- Dipartimento di Scienze Chirurgiche e Diagnostiche Integrate, University of Genoa, Genoa, Italy
| | - Eric S Rosenthal
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Peter Smielewski
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Mark S Wainwright
- Division of Pediatric Neurology, Seattle Children's Hospital, University of Washington, Seattle, WA, USA
| | - Soojin Park
- Departments of Neurology and Biomedical Informatics, Columbia University Vagelos College of Physicians and Surgeons, NewYork-Presbyterian Hospital, New York, NY, USA.
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8
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Beqiri E, Badjatia N, Ercole A, Foreman B, Hu P, Hu X, LaRovere K, Meyfroidt G, Moberg D, Robba C, Rosenthal ES, Smielewski P, Wainwright MS, Park S. Common Data Elements for Disorders of Consciousness: Recommendations from the Working Group on Physiology and Big Data. Neurocrit Care 2023; 39:593-599. [PMID: 37704934 PMCID: PMC10782548 DOI: 10.1007/s12028-023-01846-7] [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: 08/11/2023] [Accepted: 08/17/2023] [Indexed: 09/15/2023]
Abstract
BACKGROUND The implementation of multimodality monitoring in the clinical management of patients with disorders of consciousness (DoC) results in physiological measurements that can be collected in a continuous and regular fashion or even at waveform resolution. Such data are considered part of the "Big Data" available in intensive care units and are potentially suitable for health care-focused artificial intelligence research. Despite the richness in content of the physiological measurements, and the clinical implications shown by derived metrics based on those measurements, they have been largely neglected from previous attempts in harmonizing data collection and standardizing reporting of results as part of common data elements (CDEs) efforts. CDEs aim to provide a framework for unifying data in clinical research and help in implementing a systematic approach that can facilitate reliable comparison of results from clinical studies in DoC as well in international research collaborations. METHODS To address this need, the Neurocritical Care Society's Curing Coma Campaign convened a multidisciplinary panel of DoC "Physiology and Big Data" experts to propose CDEs for data collection and reporting in this field. RESULTS We report the recommendations of this CDE development panel and disseminate CDEs to be used in physiologic and big data studies of patients with DoC. CONCLUSIONS These CDEs will support progress in the field of DoC physiologic and big data and facilitate international collaboration.
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Affiliation(s)
- Erta Beqiri
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Neeraj Badjatia
- Program in Trauma, Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ari Ercole
- Division of Anaesthesia, University of Cambridge, Cambridge, UK
| | | | - Peter Hu
- Program in Trauma, Departments of Anesthesiology and Surgery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Xiao Hu
- School of Nursing, Emory University, Atlanta, GA, USA
| | - Kerri LaRovere
- Department of Neurology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - Geert Meyfroidt
- Department and Laboratory of Intensive Care Medicine, University Hospitals Leuven and KU Leuven, Louvain, Belgium
| | - Dick Moberg
- Moberg Analytics, Inc, Philadelphia, PA, USA
| | - Chiara Robba
- Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Martino, Genoa, Italy
- Dipartimento di Scienze Chirurgiche e Diagnostiche Integrate, University of Genoa, Genoa, Italy
| | - Eric S Rosenthal
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Peter Smielewski
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Mark S Wainwright
- Division of Pediatric Neurology, Seattle Children's Hospital, University of Washington, Seattle, WA, USA
| | - Soojin Park
- Departments of Neurology and Biomedical Informatics, Columbia University Vagelos College of Physicians and Surgeons, NewYork-Presbyterian Hospital, New York, NY, USA.
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9
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Arnold S, Armahizer M, Torres LF, Tripathi H, Tandri H, Chang JJ, Choi HA, Badjatia N. Minimizing Shivering During Targeted Normothermia: Comparison Between Novel Transnasal and Surface Temperature-Modulating Devices. Neurocrit Care 2023; 39:639-645. [PMID: 37498457 DOI: 10.1007/s12028-023-01793-3] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 06/21/2023] [Indexed: 07/28/2023]
Abstract
BACKGROUND Shivering is a common adverse effect of achieving and maintaining normothermia in neurocritical care patients. We compared the burden of shivering and shivering-related interventions between a novel transnasal temperature-modulating device (tnTMD) and surface cooling temperature-modulating devices (sTMDs) during the first 24 h of targeted normothermia in mechanically ventilated febrile neurocritical care patients. METHODS This is a case-control study controlling for factors that impact shiver burden: age, sex, body surface area. All patients underwent transnasal cooling (CoolStat, KeyTech, Inc.) as part of an ongoing multicenter clinical trial (NCT03360656). Patients undergoing treatment with sTMDs were selected from consecutively treated patients during the same time period. Data collected included the following: core body temperature (every 2 h), bedside shivering assessment scale (BSAS) score (every 2 h), and administration of antishivering medication for a BSAS score > 1. Time to normothermia (≤ 37.5 °C), as well as temperature burden > 37.5 °C (°C × h), were compared between groups using Student's t-test for mean differences. The proportion of patients requiring interventions, as well as the number of interventions per patient, was compared using the χ2 test. Significance was determined based on a p value < 0.05. RESULTS There were 10 tnTMD patients and 30 sTMD patients included in the analysis (mean age: 62 ± 4, 30% women, body surface area = 1.97 ± 0.25). There were no differences between groups in temperature at cooling initiation (tnTMD: 38.5 ± 0.2 °C vs. sTMD: 38.7 ± 0.5 °C, p = 0.3), time to ≤ 37.5 °C (tnTMD: 1.8 ± 1.5 h vs. sTMD: 2.9 ± 1.4 h, p = 0.1), or temperature burden > 37.5 (tnTMD: - 0.4 ± 1.13 °C × h vs. sTMD median [IQR]: - 0.57 ± 0.58 °C × h, p = 0.67). The number of tnTMD patients who received pharmacologic shivering interventions was lower than the number of controls (20 vs. 67%, p = 0.01). tnTMD patients also had fewer shivering interventions per patient (0 [range: 0-3] vs. 4 [range: 0-23], p < 0.001). CONCLUSIONS A transnasal cooling approach achieved similar time to normothermia and temperature burden with less shivering than surface cooling. This approach may be a feasible option to consider for mechanically ventilated febrile neurocritical care patients.
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Affiliation(s)
- Shannon Arnold
- Program in Trauma, Shock Trauma Neurocritical Care, Department of Neurology, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD, 21201, USA
| | - Michael Armahizer
- Department of Pharmacy, University of Maryland Medical Center, Baltimore, USA
| | - Luis F Torres
- Department of Cardiology, The Johns Hopkins Hospital, Baltimore, USA
| | - Hemant Tripathi
- Department of Critical Care Medicine, MedStar Washington Hospital Center, Washington D.C., USA
- Department of Neurology, Georgetown University, Washington D.C., USA
| | - Harikrishna Tandri
- Department of Critical Care Medicine, MedStar Washington Hospital Center, Washington D.C., USA
- Department of Neurology, Georgetown University, Washington D.C., USA
| | - Jason J Chang
- Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, USA
| | - H Alex Choi
- Department of Cardiology, The Johns Hopkins Hospital, Baltimore, USA
| | - Neeraj Badjatia
- Program in Trauma, Shock Trauma Neurocritical Care, Department of Neurology, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD, 21201, USA.
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10
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Gusdon AM, Savarraj JP, Feng D, Starkman A, Li G, Bodanapally U, Zimmerman WD, Ryan AS, Choi HA, Badjatia N. High-Protein Supplementation and Neuromuscular Electric Stimulation after Aneurysmal Subarachnoid Hemorrhage Increases Systemic Amino Acid and Oxidative Metabolism: A Plasma Metabolomics Approach. Res Sq 2023:rs.3.rs-3600439. [PMID: 38014126 PMCID: PMC10680941 DOI: 10.21203/rs.3.rs-3600439/v1] [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] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Background The INSPIRE randomized clinical trial demonstrated that a high protein diet (HPRO) combined with neuromuscular electrical stimulation (NMES) attenuates muscle atrophy and may improve functional outcomes after aSAH. Using an untargeted metabolomics approach, we sought to identify specific metabolites mediating these effects. Methods Blood samples were collected from subjects on admission prior to randomization to either standard of care (SOC; N=12) or HPRO+NMES (N=12) and at 7 days as part of the INSPIRE protocol. Untargeted metabolomics were performed for each plasma sample. Paired fold changes were calculated for each metabolite among subjects in the HPRO+NMES group at baseline and 7 days after intervention. Changes in metabolites from baseline to 7 days were compared for the HPRO+NMES and SOC groups. Sparse partial least squared discriminant analysis (sPLS-DA) identified metabolites discriminating each group. Pearson's correlation coefficients were calculated between each metabolite and total protein per day, nitrogen balance, and muscle volume Multivariable models were developed to determine associations between each metabolite and muscle volume. Results A total of 18 unique metabolites were identified including pre and post treatment and differentiating SOC vs HPRO+NMES. Of these, 9 had significant positive correlations with protein intake: N-acetylserine (ρ=0.61, P =1.56x10 -3 ), N-acetylleucine (ρ=0.58, P =2.97x10 -3 ), β-hydroxyisovaleroylcarnitine (ρ=0.53, P =8.35x10 -3 ), tiglyl carnitine (ρ=0.48, P =0.0168), N-acetylisoleucine (ρ=0.48, P =0.0183), N-acetylthreonine (ρ=0.47, P =0.0218), N-acetylkynurenine (ρ=0.45, P =0.0263), N-acetylvaline (ρ=0.44, P =0.0306), and urea (ρ=0.43, P =0.0381). In multivariable regression models, N-acetylleucine was significantly associated with preserved temporalis [OR 1.08 (95%CI 1.01, 1.16)] and quadricep [OR 1.08 (95%CI 1.02, 1.15)] muscle volume. Quinolinate was also significantly associated with preserved temporalis [OR 1.05 (95%CI 1.01, 1.09)] and quadricep [OR 1.04 (95%CI 1.00, 1.07)] muscle volume. N-acetylserine, N-acetylcitrulline, and b-hydroxyisovaleroylcarnitine were also associated with preserved temporalis or quadricep volume. Conclusions Metabolites defining the HPRO+NMES intervention mainly consisted of amino acid derivatives. These metabolites had strong correlations with protein intake and were associated with preserved muscle volume.
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11
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Zimmerman WD, Pergakis M, Ahmad G, Morris NA, Podell J, Chang WT, Motta M, Chen H, Jindal G, Bodanapally U, Simard JM, Badjatia N, Parikh GY. Iodine-based dual-energy CT predicts early neurological decline from cerebral edema after large hemispheric infarction. Res Sq 2023:rs.3.rs-3508427. [PMID: 37986926 PMCID: PMC10659527 DOI: 10.21203/rs.3.rs-3508427/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Background & Purpose Ischemia affecting two thirds of the MCA territory predicts development of malignant cerebral edema. However, early infarcts are hard to diagnose on conventional head CT. We hypothesize that high-energy (190keV) virtual monochromatic images (VMI) from dual-energy CT (DECT) imaging enables earlier detection of secondary injury from malignant cerebral edema (MCE). Methods Consecutive LHI patients with NIHSS ≥ 15 and DECT within 10 hours of reperfusion from May 2020 to March 2022 were included. We excluded patients with parenchymal hematoma-type 2 transformation. Retrospective analysis of clinical and novel variables included VMI Alberta Stroke Program Early CT Score (ASPECTS), total iodine content, and VMI infarct volume. Primary outcome was early neurological decline (END). Secondary outcomes included hemorrhagic transformation, decompressive craniectomy (DC), and medical treatment of MCE. Fisher's exact test and Wilcoxon test were used for univariate analysis. Logistic regression was used to develop prediction models for categorical outcomes. Results Eighty-four LHI patients with a median age of 67.5 [IQR 57,78] years and NIHSS 22 [IQR 18,25] were included. Twenty-nine patients had END. VMI ASPECTS, total iodine content, and VMI infarct volume were associated with END. VMI ASPECTS, VMI infarct volume, and total iodine content were predictors of END after adjusting for age, sex, initial NIHSS, and tPA administration, with a AUROC of 0.691 [0.572,0.810], 0.877 [0.800, 0.954], and 0.845 [0.750, 0.940]. By including all three predictors, the model achieved AUROC of 0.903 [0.84,0.97] and was cross validated by leave one out method with AUROC of 0.827. Conclusion DECT with high-energy VMI and iodine quantification is superior to conventional CT ASPECTS and is a novel predictor for early neurological decline due to malignant cerebral edema after large hemispheric infarction.
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Affiliation(s)
| | | | - Ghasan Ahmad
- Hackensack Meridian Jersey Shore University Medical Center
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12
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Nates JL, Oropello JM, Badjatia N, Beilman G, Coopersmith CM, Halpern NA, Herr DL, Jacobi J, Kahn R, Leung S, Puri N, Sen A, Pastores SM. Flow-Sizing Critical Care Resources. Crit Care Med 2023; 51:1552-1565. [PMID: 37486677 DOI: 10.1097/ccm.0000000000005967] [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] [Indexed: 07/25/2023]
Abstract
OBJECTIVES To describe the factors affecting critical care capacity and how critical care organizations (CCOs) within academic centers in the U.S. flow-size critical care resources under normal operations, strain, and surge conditions. DATA SOURCES PubMed, federal agency and American Hospital Association reports, and previous CCO survey results were reviewed. STUDY SELECTION Studies and reports of critical care bed capacity and utilization within CCOs and in the United States were selected. DATA EXTRACTION The Academic Leaders in the Critical Care Medicine Task Force established regular conference calls to reach a consensus on the approach of CCOs to "flow-sizing" critical care services. DATA SYNTHESIS The approach of CCOs to "flow-sizing" critical care is outlined. The vertical (relation to institutional resources, e.g., space allocation, equipment, personnel redistribution) and horizontal (interdepartmental, e.g., emergency department, operating room, inpatient floors) integration of critical care delivery (ICUs, rapid response) for healthcare organizations and the methods by which CCOs flow-size critical care during normal operations, strain, and surge conditions are described. The advantages, barriers, and recommendations for the rapid and efficient scaling of critical care operations via a CCO structure are explained. Comprehensive guidance and resources for the development of "flow-sizing" capability by a CCO within a healthcare organization are provided. CONCLUSIONS We identified and summarized the fundamental principles affecting critical care capacity. The taskforce highlighted the advantages of the CCO governance model to achieve rapid and cost-effective "flow-sizing" of critical care services and provide recommendations and resources to facilitate this capability. The relevance of a comprehensive approach to "flow-sizing" has become particularly relevant in the wake of the latest COVID-19 pandemic. In light of the growing risks of another extreme epidemic, planning for adequate capacity to confront the next critical care crisis is urgent.
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Affiliation(s)
- Joseph L Nates
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | | | | | | | | | | | | | | | - Nitin Puri
- Cooper University Health Care, Camden, NJ
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13
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Salasky VR, Chowdhury SH, Chen LK, Almeida E, Kong X, Armahizer M, Pajoumand M, Schrank GM, Rabinowitz RP, Schwartzbauer G, Hu P, Badjatia N, Podell JE. Overlapping Physiologic Signs of Sepsis and Paroxysmal Sympathetic Hyperactivity After Traumatic Brain Injury: Exploring A Clinical Conundrum. Neurocrit Care 2023:10.1007/s12028-023-01862-7. [PMID: 37884690 DOI: 10.1007/s12028-023-01862-7] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 09/12/2023] [Indexed: 10/28/2023]
Abstract
BACKGROUND Paroxysmal sympathetic hyperactivity (PSH) occurs in a subset of patients with traumatic brain injury (TBI) and is associated with worse outcomes. Sepsis is also associated with worse outcomes after TBI and shares several physiologic features with PSH, potentially creating diagnostic confusion and suboptimal management of each. This is the first study to directly investigate the interaction between PSH and infection using robust diagnostic criteria. METHODS We performed a retrospective cohort study of patients with TBI admitted to a level I trauma center intensive care unit with hospital length of stay of at least 2 weeks. From January 2016 to July 2018, 77 patients diagnosed with PSH were 1:1 matched by age and Glasgow Coma Scale to 77 patients without PSH. Trauma infectious diseases subspecialists prospectively documented assessments corroborating diagnoses of infection. Extracted data including incidence, timing, classification, and anatomical source of infections were compared according to PSH diagnosis. We also evaluated daily PSH clinical feature severity scores and systemic inflammatory response syndrome (SIRS) criteria and compared values for patients with and without confirmed infection, stratified by PSH diagnosis. RESULTS During the first 2 weeks of hospitalization, there were no differences in rates of suspected (62%) nor confirmed (48%) infection between patients with PSH and controls. Specific treatments for PSH were initiated on median hospital day 7 and for confirmed infections on median hospital day 8. SIRS criteria could identify infection only in patients who were not diagnosed with PSH. CONCLUSIONS In the presence of brain injury-induced autonomic nervous system dysregulation, the initiation and continuation of antimicrobial therapy is a challenging clinical decision, as standard physiologic markers of sepsis do not distinguish infected from noninfected patients with PSH, and these entities often present around the same time. Clinicians should be aware that PSH is a potential driver of SIRS, and familiarity with its diagnostic criteria as proposed by the PSH assessment measure is important. Management by a multidisciplinary team attentive to these issues may reduce rates of inappropriate antibiotic usage and misdiagnoses.
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Affiliation(s)
- Vanessa Rose Salasky
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Program in Trauma, University of Maryland, School of Medicine, University of Maryland Medical Center, 22 S. Greene Street, G7K19, Baltimore, MD, 21201, USA
| | - Sancharee Hom Chowdhury
- Department of Information Systems, University of Maryland Baltimore County, Baltimore, MD, USA
| | - Lujie Karen Chen
- Department of Information Systems, University of Maryland Baltimore County, Baltimore, MD, USA
| | - Ediel Almeida
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - Xiangxiang Kong
- Department of Information Systems, University of Maryland Baltimore County, Baltimore, MD, USA
| | - Michael Armahizer
- University of Maryland School of Pharmacy, University of Maryland Medical Center, Baltimore, MD, USA
| | - Mehrnaz Pajoumand
- University of Maryland School of Pharmacy, University of Maryland Medical Center, Baltimore, MD, USA
| | - Gregory M Schrank
- Division of Infectious Diseases, Department of Medicine, Program in Trauma, University of Maryland School of Medicine, University of Maryland Medical Center, Baltimore, MD, USA
| | - Ronald P Rabinowitz
- Division of Infectious Diseases, Department of Medicine, Program in Trauma, University of Maryland School of Medicine, University of Maryland Medical Center, Baltimore, MD, USA
| | - Gary Schwartzbauer
- Department of Neurosurgery, Program in Trauma, University of Maryland School of Medicine, University of Maryland Medical Center, Baltimore, MD, USA
| | - Peter Hu
- Department of Anesthesiology, Program in Trauma, University of Maryland School of Medicine, University of Maryland Medical Center, Baltimore, MD, USA
| | - Neeraj Badjatia
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Program in Trauma, University of Maryland, School of Medicine, University of Maryland Medical Center, 22 S. Greene Street, G7K19, Baltimore, MD, 21201, USA
| | - Jamie Erin Podell
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Program in Trauma, University of Maryland, School of Medicine, University of Maryland Medical Center, 22 S. Greene Street, G7K19, Baltimore, MD, 21201, USA.
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14
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Jaffa MN, Podell JE, Foroutan A, Motta M, Chang WTW, Cherian J, Pergakis MB, Parikh GY, Simard JM, Armahizer MJ, Badjatia N, Morris NA. Steroids Provide Temporary Improvement of Refractory Pain Following Subarachnoid Hemorrhage. Neurohospitalist 2023; 13:236-242. [PMID: 37441219 PMCID: PMC10334057 DOI: 10.1177/19418744231172350] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/15/2023] Open
Abstract
Introduction Evidence for optimal analgesia following subarachnoid hemorrhage (SAH) is limited. Steroid therapy for pain refractory to standard regimens is common despite lack of evidence for its efficacy. We sought to determine if steroids reduced pain or utilization of other analgesics when given for refractory headache following SAH. Methods We performed a retrospective within-subjects cohort study of SAH patients who received steroids for refractory headache. We compared daily pain scores, total daily opioid, and acetaminophen doses before, during, and after steroids. Repeated measures were analyzed with a multivariable general linear model and generalized estimating equations. Results Included 52 patients treated with dexamethasone following SAH, of whom 11 received a second course, increasing total to 63 treatment epochs. Mean pain score on the first day of therapy was 7.92 (standard error of the mean [SEM] .37) and decreased to 6.68 (SEM .36) on the second day before quickly returning to baseline levels, 7.36 (SEM .33), following completion of treatment. Total daily analgesics mirrored this trend. Mean total opioid and acetaminophen doses on days one and two and two days after treatment were 47.83mg (SEM 6.22) and 1848mg (SEM 170.66), 34.24mg (SEM 5.12) and 1809mg (SEM 150.28), and 46.38mg (SEM 11.64) and 1833mg (SEM 174.23), respectively. Response to therapy was associated with older age, decreasing acetaminophen dosing, and longer duration of steroids. Hyperglycemia and sleep disturbance/delirium effected 28.6% and 55.6% of cases, respectively. Conclusion Steroid therapy for refractory pain in SAH patients may have modest, transient effects in select patients.
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Affiliation(s)
- Matthew N. Jaffa
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA
| | - Jamie E. Podell
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA
| | - Arshom Foroutan
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Melissa Motta
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA
| | - Wan-Tsu W. Chang
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA
- Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Jacob Cherian
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Melissa B. Pergakis
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA
| | - Gunjan Y. Parikh
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA
| | - J. Marc Simard
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Physiology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Michael J. Armahizer
- Department of Pharmacy Services, University of Maryland Medical Center, Baltimore, MD, USA
| | - Neeraj Badjatia
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA
| | - Nicholas A. Morris
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA
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15
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Lulla A, Lumba-Brown A, Totten AM, Maher PJ, Badjatia N, Bell R, Donayri CTJ, Fallat ME, Hawryluk GWJ, Goldberg SA, Hennes HMA, Ignell SP, Ghajar J, Krzyzaniak BP, Lerner EB, Nishijima D, Schleien C, Shackelford S, Swartz E, Wright DW, Zhang R, Jagoda A, Bobrow BJ. Prehospital Guidelines for the Management of Traumatic Brain Injury - 3rd Edition. PREHOSP EMERG CARE 2023:1-32. [PMID: 37079803 DOI: 10.1080/10903127.2023.2187905] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/22/2023]
Affiliation(s)
- Al Lulla
- Department of Emergency Medicine, UT Southwestern Medical Center, Dallas, Texas
| | - Angela Lumba-Brown
- Department of Emergency Medicine, Stanford University, Stanford, California
| | - Annette M Totten
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon
| | - Patrick J Maher
- Department of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Neeraj Badjatia
- Department of Neurocritical Care, Neurology, Anesthesiology, Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - Randy Bell
- Uniformed Services University, Bethesda, Maryland
| | | | - Mary E Fallat
- Hiram C. Polk Jr Department of Pediatric Surgery, University of Louisville, Norton Children's Hospital, Louisville, Kentucky
| | - Gregory W J Hawryluk
- Department of Neurosurgery, Cleveland Clinic and Akron General Hospital, Fairlawn, Ohio
| | - Scott A Goldberg
- Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Halim M A Hennes
- Department of Pediatric Emergency Medicine, UT Southwestern Medical Center, Dallas Children's Medical Center, Dallas, Texas
| | - Steven P Ignell
- Department of Emergency Medicine, Stanford University, Stanford, California
| | - Jamshid Ghajar
- Department of Neurosurgery, Stanford University, Stanford, California
| | | | - E Brooke Lerner
- Department of Emergency Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Daniel Nishijima
- Department of Emergency Medicine, UC Davis, Sacramento, California
| | - Charles Schleien
- Pediatric Critical Care, Cohen Children's Medical Center, Hofstra Northwell School of Medicine, Uniondale, New York
| | - Stacy Shackelford
- Trauma and Critical Care, USAF Center for Sustainment of Trauma Readiness Skills, Seattle, Washington
| | - Erik Swartz
- Department of Physical Therapy and Kinesiology, University of Massachusetts, Lowell, Massachusetts
| | - David W Wright
- Department of Emergency Medicine, Emory University, Atlanta, Georgia
| | - Rachel Zhang
- University of Arizona College of Medicine-Phoenix, Phoenix, Arizona
| | - Andy Jagoda
- Department of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Bentley J Bobrow
- Department of Emergency Medicine, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas
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16
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Podell J, Yang S, Miller S, Felix R, Tripathi H, Parikh G, Miller C, Chen H, Kuo YM, Lin CY, Hu P, Badjatia N. Rapid prediction of secondary neurologic decline after traumatic brain injury: a data analytic approach. Sci Rep 2023; 13:403. [PMID: 36624110 PMCID: PMC9829683 DOI: 10.1038/s41598-022-26318-4] [Citation(s) in RCA: 3] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 12/13/2022] [Indexed: 01/11/2023] Open
Abstract
Secondary neurologic decline (ND) after traumatic brain injury (TBI) is independently associated with outcome, but robust predictors of ND are lacking. In this retrospective analysis of consecutive isolated TBI admissions to the R. Adams Cowley Shock Trauma Center between November 2015 and June 2018, we aimed to develop a triage decision support tool to quantify risk for early ND. Three machine learning models based on clinical, physiologic, or combined characteristics from the first hour of hospital resuscitation were created. Among 905 TBI cases, 165 (18%) experienced one or more ND events (130 clinical, 51 neurosurgical, and 54 radiographic) within 48 h of presentation. In the prediction of ND, the clinical plus physiologic data model performed similarly to the physiologic only model, with concordance indices of 0.85 (0.824-0.877) and 0.84 (0.812-0.868), respectively. Both outperformed the clinical only model, which had a concordance index of 0.72 (0.688-0.759). This preliminary work suggests that a data-driven approach utilizing physiologic and basic clinical data from the first hour of resuscitation after TBI has the potential to serve as a decision support tool for clinicians seeking to identify patients at high or low risk for ND.
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Affiliation(s)
- Jamie Podell
- grid.411024.20000 0001 2175 4264Program in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD 21201 USA ,grid.411024.20000 0001 2175 4264Department of Neurology, University of Maryland School of Medicine, Baltimore, USA
| | - Shiming Yang
- grid.411024.20000 0001 2175 4264Program in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD 21201 USA ,grid.411024.20000 0001 2175 4264Department of Anesthesiology, University of Maryland School of Medicine, Baltimore, USA ,grid.411024.20000 0001 2175 4264Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, USA
| | - Serenity Miller
- grid.411024.20000 0001 2175 4264Program in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD 21201 USA
| | - Ryan Felix
- grid.411024.20000 0001 2175 4264Program in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD 21201 USA
| | - Hemantkumar Tripathi
- grid.411024.20000 0001 2175 4264Program in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD 21201 USA
| | - Gunjan Parikh
- grid.411024.20000 0001 2175 4264Program in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD 21201 USA ,grid.411024.20000 0001 2175 4264Department of Neurology, University of Maryland School of Medicine, Baltimore, USA
| | - Catriona Miller
- grid.411024.20000 0001 2175 4264Program in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD 21201 USA
| | - Hegang Chen
- grid.411024.20000 0001 2175 4264Program in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD 21201 USA ,grid.411024.20000 0001 2175 4264Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, USA
| | - Yi-Mei Kuo
- grid.411024.20000 0001 2175 4264Program in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD 21201 USA
| | - Chien Yu Lin
- grid.411024.20000 0001 2175 4264Program in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD 21201 USA
| | - Peter Hu
- grid.411024.20000 0001 2175 4264Program in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD 21201 USA ,grid.411024.20000 0001 2175 4264Department of Anesthesiology, University of Maryland School of Medicine, Baltimore, USA ,grid.411024.20000 0001 2175 4264Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, USA
| | - Neeraj Badjatia
- Program in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD, 21201, USA. .,Department of Neurology, University of Maryland School of Medicine, Baltimore, USA.
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17
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Stonko DP, Richmond MJ, Edwards J, Abdou H, Treffalls R, Elansary N, Patel N, Badjatia N, Jewhurst K, Dupnik M, DiMatteo K, Myers R, Morrison JJ. High Flow Cooled Air Can Decrease Brain Temperature Without Injuring the Snout or Brain in Swine. Surgery in Practice and Science 2022. [DOI: 10.1016/j.sipas.2022.100154] [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] [Indexed: 12/29/2022] Open
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18
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Baker TS, Kellner CP, Colbourne F, Rincon F, Kollmar R, Badjatia N, Dangayach N, Mocco J, Selim MH, Lyden P, Polderman K, Mayer S. Consensus recommendations on therapeutic hypothermia after minimally invasive intracerebral hemorrhage evacuation from the hypothermia for intracerebral hemorrhage (HICH) working group. Front Neurol 2022; 13:859894. [PMID: 36062017 PMCID: PMC9428129 DOI: 10.3389/fneur.2022.859894] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 06/30/2022] [Indexed: 12/03/2022] Open
Abstract
Background and purpose Therapeutic hypothermia (TH), or targeted temperature management (TTM), is a classic treatment option for reducing inflammation and potentially other destructive processes across a wide range of pathologies, and has been successfully used in numerous disease states. The ability for TH to improve neurological outcomes seems promising for inflammatory injuries but has yet to demonstrate clinical benefit in the intracerebral hemorrhage (ICH) patient population. Minimally invasive ICH evacuation also presents a promising option for ICH treatment with strong preclinical data but has yet to demonstrate functional improvement in large randomized trials. The biochemical mechanisms of action of ICH evacuation and TH appear to be synergistic, and thus combining hematoma evacuation with cooling therapy could provide synergistic benefits. The purpose of this working group was to develop consensus recommendations on optimal clinical trial design and outcomes for the use of therapeutic hypothermia in ICH in conjunction with minimally invasive ICH evacuation. Methods An international panel of experts on the intersection of critical-care TH and ICH was convened to analyze available evidence and form a consensus on critical elements of a focal cooling protocol and clinical trial design. Three focused sessions and three full-group meetings were held virtually from December 2020 to February 2021. Each meeting focused on a specific subtopic, allowing for guided, open discussion. Results These recommendations detail key elements of a clinical cooling protocol and an outline for the roll-out of clinical trials to test and validate the use of TH in conjunction with hematoma evacuation as well as late-stage protocols to improve the cooling approach. The combined use of systemic normothermia and localized moderate (33.5°C) hypothermia was identified as the most promising treatment strategy. Conclusions These recommendations provide a general outline for the use of TH after minimally invasive ICH evacuation. More research is needed to further refine the use and combination of these promising treatment paradigms for this patient population.
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Affiliation(s)
- Turner S. Baker
- Icahn School of Medicine at Mount Sinai, Sinai BioDesign, New York, NY, United States
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- *Correspondence: Turner S. Baker
| | - Christopher P. Kellner
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | | | - Fred Rincon
- Department of Neurology, Thomas Jefferson University Hospital, Thomas Jefferson University, Philadelphia, PA, United States
| | - Rainer Kollmar
- Department of Neurology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
- Department of Neurology and Neurological Intensive Care, Darmstadt Academic Teaching Hospital, Darmstadt, Germany
| | - Neeraj Badjatia
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Neha Dangayach
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - J. Mocco
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Magdy H. Selim
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard University, Boston, MA, United States
| | - Patrick Lyden
- Department of Physiology and Neuroscience, Keck School of Medicine, Zilkha Neurogenetic Institute, University of Southern California, CA, United States
| | - Kees Polderman
- United Memorial Medical Center, Houston, TX, United States
| | - Stephan Mayer
- Westchester Medical Center Health Network, Valhalla, NY, United States
- Department of Neurology, New York Medical College, Valhalla, NY, United States
- Department of Neurosurgery, New York Medical College, Valhalla, NY, United States
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19
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Chauhan AV, Guralnik J, dosReis S, Sorkin JD, Badjatia N, Albrecht JS. Repetitive Traumatic Brain Injury Among Older Adults. J Head Trauma Rehabil 2022; 37:E242-E248. [PMID: 34320558 PMCID: PMC8789954 DOI: 10.1097/htr.0000000000000719] [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] [Indexed: 01/03/2023]
Abstract
OBJECTIVE To determine the incidence of and assess risk factors for repetitive traumatic brain injury (TBI) among older adults in the United States. DESIGN Retrospective cohort study. SETTING Administrative claims data obtained from the Centers for Medicare & Medicaid Services' Chronic Conditions Data Warehouse. PARTICIPANTS Individuals 65 years or older and diagnosed with TBI between July 2008 and September 2012 drawn from a 5% random sample of US Medicare beneficiaries. MAIN MEASURES Repetitive TBI was identified as a second TBI occurring at least 90 days after the first occurrence of TBI following an 18-month TBI-free period. We identified factors associated with repetitive TBI using a log-binomial model. RESULTS A total of 38 064 older Medicare beneficiaries experienced a TBI. Of these, 4562 (12%) beneficiaries sustained at least one subsequent TBI over up to 5 years of follow-up. The unadjusted incidence rate of repetitive TBI was 3022 (95% CI, 2935-3111) per 100 000 person-years. Epilepsy was the strongest predictor of repetitive TBI (relative risk [RR] = 1.44; 95% CI, 1.25-1.56), followed by Alzheimer disease and related dementias (RR = 1.32; 95% CI 1.20-1.45), and depression (RR = 1.30; 95% CI, 1.21-1.38). CONCLUSIONS Injury prevention and fall-reduction interventions could be targeted to identify groups of older adults at an increased risk of repetitive head injury. Future work should focus on injury-reduction initiatives to reduce the risk of repetitive TBI as well as assessment of outcomes related to repetitive TBI.
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Affiliation(s)
- Aparna Vadlamani Chauhan
- Departments of Epidemiology and Public Health (Drs Chauhan, Guralnik, and Albrecht) and Neurology (Dr Badjatia), University of Maryland School of Medicine, Baltimore; Department of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore (Dr dosReis); Baltimore VA Geriatric Research, Education and Clinical Center (Dr Sorkin); and Department of Medicine, Division of Gerontology and Geriatrics, University of Maryland School of Medicine, Baltimore (Dr Sorkin)
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20
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Tang S, Sours Rhodes C, Jiang L, Chen H, Roys S, Badjatia N, Raghavan P, Zhuo J, Gullapalli RP. Association between Sleep Disturbances at Subacute Stage of Mild Traumatic Brain Injury and Long-Term Outcomes. Neurotrauma Rep 2022; 3:276-285. [PMID: 35982983 PMCID: PMC9380873 DOI: 10.1089/neur.2022.0004] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Mild (mTBI) traumatic brain injury (TBI) accounts for the majority of all TBI cases. Evidence has suggested that patients with mTBI can suffer from long-lasting cognitive deficits, persistent symptoms, and decreased quality of life. Sleep disorders are commonly observed after TBI, with the prevalence rate of sleep disturbances in persons with TBI being much higher than that in the general population. Poor sleep quality can impair cognitive functions in the general population. This effect of sleep disturbances may impede the recovery processes in the population with TBI. The objective of this study is to add to our understanding of the relationship between self-reported sleep problems and other post-concussion symptoms and look at the association between early sleep problems and long-term outcomes in mTBI. Post-concussion symptoms, neurocognitive functions, level of global outcomes, and rating of satisfaction of life were assessed in 64 patients with mTBI. The results revealed that the presence of sleep disturbances co-occur with an increased level of overall post-concussion symptoms at the subacute stage of mTBI, particularly with symptoms including poor concentration, memory problems, and irritability. In addition, sleep disturbance at the subacute stage is associated with persistent poor concentration and memory problems, as well as worse neurocognitive function, slower overall recovery, and lower satisfactory of life at the long term. Our findings suggest that sleep disturbance can be a prognostic factor of long-term outcomes after mTBI. Early interventions to improve sleep quality can have potential benefits to facilitate the recovery process from mTBI.
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Affiliation(s)
- Shiyu Tang
- Department of Diagnostic Radiology and Nuclear Medicine, Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Center for Advanced Imaging Research (CAIR), Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Chandler Sours Rhodes
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, Maryland, USA
| | - Li Jiang
- Department of Diagnostic Radiology and Nuclear Medicine, Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Center for Advanced Imaging Research (CAIR), Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Hegang Chen
- Department of Epidemiology and Public Health, Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Steven Roys
- Department of Diagnostic Radiology and Nuclear Medicine, Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Center for Advanced Imaging Research (CAIR), Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Neeraj Badjatia
- Neurology Program and Trauma, Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Prashant Raghavan
- Department of Diagnostic Radiology and Nuclear Medicine, Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Jiachen Zhuo
- Department of Diagnostic Radiology and Nuclear Medicine, Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Center for Advanced Imaging Research (CAIR), Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Rao P. Gullapalli
- Department of Diagnostic Radiology and Nuclear Medicine, Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Center for Advanced Imaging Research (CAIR), Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
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21
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Kalaria SN, Armahizer M, McCarthy P, Badjatia N, Gobburu JV, Gopalakrishnan M. Development and Use of an Ex-Vivo In-Vivo Correlation to Predict Antiepileptic Drug Clearance in Patients Undergoing Continuous Renal Replacement Therapy. Pharm Res 2022; 39:827-836. [PMID: 35552966 DOI: 10.1007/s11095-022-03287-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 02/19/2022] [Accepted: 05/03/2022] [Indexed: 11/28/2022]
Abstract
OBJECTIVES Results from previous ex-vivo continuous renal replacement therapy (CRRT) models have successfully demonstrated similar extraction coefficients (EC) identified from in-vivo clinical trials. The objectives of this study are to develop an ex-vivo in-vivo correlation (EVIVC) model to predict drug clearance for commonly used antiepileptics and to evaluate similarity in drug extraction across different CRRT modalities to extrapolate dosing recommendations. METHODS Levetiracetam, lacosamide, and phenytoin CRRT clearance was evaluated using the Prismaflex CRRT system and M150 hemodiafilters using an albumin containing normal saline (ALB-NS) vehicle with 3 different albumin concentrations (2 g/dL, 3 g/dL, and 4 g/dL) and a human plasma vehicle at 3 different effluent flow rates (1 L/hr, 2 L/hr, and 3 L/hr). Blood and effluent/dialysate concentrations were collected after circuit priming. ECs were calculated for each drug, modality, vehicle, and experimental arm combination. RESULTS The calculated average EC for levetiracetam and lacosamide was approximated to the fraction unbound from plasma protein. Human plasma and ALB-NS vehicles demonstrated adequate prediction of in-vivo CRRT clearance. Geometric mean ratios indicated similarity in extraction coefficients when comparing between hemofiltration and hemodiafiltration modalities and between filtration and dialysis modalities at effluent flow rates ≤ 2L/hr. Evaluation of phenytoin provided inconsistent findings with regards to extraction coefficient similarity across different CRRT modalities. CONCLUSION The findings indicate that an ex-vivo study can be used as a surrogate to predict in-vivo levetiracetam and lacosamide clearance in patients receiving CRRT.
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Affiliation(s)
- Shamir N Kalaria
- Center for Translational Medicine, University of Maryland School of Pharmacy, 20 North Pine St, Baltimore, Maryland, 21201, USA.,Department of Pharmacy Services, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Michael Armahizer
- Department of Pharmacy Services, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Paul McCarthy
- Department of Cardiovascular and Thoracic Surgery, Division of Critical Care, West Virginia University School of Medicine, Morgantown, West Virginia, USA
| | - Neeraj Badjatia
- Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Jogarao V Gobburu
- Center for Translational Medicine, University of Maryland School of Pharmacy, 20 North Pine St, Baltimore, Maryland, 21201, USA
| | - Mathangi Gopalakrishnan
- Center for Translational Medicine, University of Maryland School of Pharmacy, 20 North Pine St, Baltimore, Maryland, 21201, USA.
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22
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Kardon A, Murray RS, Khalid M, Colloca L, Simard JM, Badjatia N, Murthi SB, Morris NA. Pain Control and Anxiolysis After Subarachnoid Hemorrhage Using Immersive Virtual Reality: A Case Report. Neurohospitalist 2022; 12:563-566. [DOI: 10.1177/19418744221099412] [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: 11/15/2022] Open
Abstract
Debilitating headache persists after acute aneurysmal subarachnoid hemorrhage (SAH). Despite high prevalence, little is known regarding optimal treatment strategies for SAH-related headache. Nonpharmacologic adjunctive therapies are emerging as tools to help treat pain and limit opioid exposure in the hospital. Virtual reality (VR) is an immersive audiovisual experience that has been shown to reduce pain perception in other patient populations. The role of VR in acute brain injury is unknown. Here we report a patient with SAH who suffered from persistent headache during her hospitalization despite escalation of analgesic pharmacotherapy. A trial of VR was used as an adjunct to medication over four days. The patient reported subjective improvement in pain and anxiety. VR may provide additional analgesia and anxiolysis over pharmacologic measures alone and warrants further study in patients with acute brain injury.
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Affiliation(s)
- Adam Kardon
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Robert S. Murray
- Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA
| | - Mazhar Khalid
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Luana Colloca
- Department of Pain and Translational Symptom Science, University of Maryland School of Nursing, Baltimore, MD, USA
| | - J. Marc. Simard
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Neeraj Badjatia
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA
| | - Sarah B. Murthi
- Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA
- Department of Surgery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Nicholas A. Morris
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA
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23
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Ali AA, Chang WTW, Tabatabai A, Pergakis MB, Gutierrez CA, Neustein B, Gilbert GE, Podell JE, Parikh G, Badjatia N, Motta M, Lerner DP, Morris NA. Simulation-based assessment of trainee's performance in post-cardiac arrest resuscitation. Resusc Plus 2022; 10:100233. [PMID: 35515012 PMCID: PMC9065740 DOI: 10.1016/j.resplu.2022.100233] [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: 02/01/2022] [Revised: 04/02/2022] [Accepted: 04/06/2022] [Indexed: 11/29/2022] Open
Abstract
Objectives To assess trainees’ performance in managing a patient with post-cardiac arrest complicated by status epilepticus. Methods In this prospective, observational, single-center simulation-based study, trainees ranging from sub interns to critical care fellows evaluated and managed a post cardiac arrest patient, complicated by status epilepticus. Critical action items were developed by a modified Delphi approach based on American Heart Association guidelines and the Neurocritical Care Society’s Emergency Neurological Life Support protocols. The primary outcome measure was the critical action item sum score. We sought validity evidence to support our findings by including attending neurocritical care physicians and comparing performance across four levels of training. Results Forty-nine participants completed the simulation. The mean sum of critical actions completed by trainees was 10/21 (49%). Eleven (22%) trainees verbalized a differential diagnosis for the arrest. Thirty-two (65%) reviewed the electrocardiogram, recognized it as abnormal, and consulted cardiology. Forty trainees (81%) independently decided to start temperature management, but only 20 (41%) insisted on it when asked to reconsider. There was an effect of level of training on critical action checklist sum scores (novice mean score [standard deviation (SD)] = 4.8(1.8) vs. intermediate mean score (SD) = 10.4(2.1) vs. advanced mean score (D) = 11.6(3.0) vs. expert mean score (SD) = 14.7(2.2)) Conclusions High-fidelity manikin-based simulation holds promise as an assessment tool in the performance of post-cardiac arrest care.
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Key Words
- ANOVA, Analysis of variance
- CI, Confidence Intervals
- CT, Computed tomography
- Critical Care
- ECG, Electrocardiography
- EEG, Electroencephalogram
- ENLS, Emergency Neurological Life Support
- Hypothermia
- ICC, Intra-class correlation
- IQR, Interquartile ranges
- Induced
- OHCA, Out of Hospital Cardiac Arrest
- Out of Hospital Cardiac Arrest
- PGY, Post graduate year
- SD, Standard Deviation
- Simulation
- Status Epilepticus
- cEEG, Continuous EEG
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Affiliation(s)
- Afrah A Ali
- Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Wan-Tsu W Chang
- Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.,Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ali Tabatabai
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.,Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Melissa B Pergakis
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.,Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Camilo A Gutierrez
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Benjamin Neustein
- Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - Jamie E Podell
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.,Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Gunjan Parikh
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.,Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Neeraj Badjatia
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.,Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Melissa Motta
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.,Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA
| | - David P Lerner
- Department of Neurology, Lahey Hospital and Medical Center, Burlington, MA, USA
| | - Nicholas A Morris
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.,Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA
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24
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Megjhani M, Terilli K, Kalasapudi L, Chen J, Carlson J, Miller S, Badjatia N, Hu P, Velazquez A, Roh DJ, Agarwal S, Claassen J, Connolly ES, Hu X, Morris N, Park S. Dynamic Intracranial Pressure Waveform Morphology Predicts Ventriculitis. Neurocrit Care 2022; 36:404-411. [PMID: 34331206 PMCID: PMC9847350 DOI: 10.1007/s12028-021-01303-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 05/07/2021] [Accepted: 06/14/2021] [Indexed: 01/21/2023]
Abstract
BACKGROUND Intracranial pressure waveform morphology reflects compliance, which can be decreased by ventriculitis. We investigated whether morphologic analysis of intracranial pressure dynamics predicts the onset of ventriculitis. METHODS Ventriculitis was defined as culture or Gram stain positive cerebrospinal fluid, warranting treatment. We developed a pipeline to automatically isolate segments of intracranial pressure waveforms from extraventricular catheters, extract dominant pulses, and obtain morphologically similar groupings. We used a previously validated clinician-supervised active learning paradigm to identify metaclusters of triphasic, single-peak, or artifactual peaks. Metacluster distributions were concatenated with temperature and routine blood laboratory values to create feature vectors. A L2-regularized logistic regression classifier was trained to distinguish patients with ventriculitis from matched controls, and the discriminative performance using area under receiver operating characteristic curve with bootstrapping cross-validation was reported. RESULTS Fifty-eight patients were included for analysis. Twenty-seven patients with ventriculitis from two centers were identified. Thirty-one patients with catheters but without ventriculitis were selected as matched controls based on age, sex, and primary diagnosis. There were 1590 h of segmented data, including 396,130 dominant pulses in patients with ventriculitis and 557,435 pulses in patients without ventriculitis. There were significant differences in metacluster distribution comparing before culture-positivity versus during culture-positivity (p < 0.001) and after culture-positivity (p < 0.001). The classifier demonstrated good discrimination with median area under receiver operating characteristic 0.70 (interquartile range 0.55-0.80). There were 1.5 true alerts (ventriculitis detected) for every false alert. CONCLUSIONS Intracranial pressure waveform morphology analysis can classify ventriculitis without cerebrospinal fluid sampling.
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Affiliation(s)
- Murad Megjhani
- Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, United States of America,Program for Hospital and Intensive Care Informatics, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, United States of America
| | - Kalijah Terilli
- Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, United States of America,Program for Hospital and Intensive Care Informatics, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, United States of America
| | - Lakshman Kalasapudi
- Department of Neurology, Program in Trauma, University of Maryland School of Medicine
| | - Justine Chen
- Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, United States of America,New York Presbyterian Hospital – Columbia University Irving Medical Center, New York, New York, United States of America
| | - John Carlson
- Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, United States of America,Program for Hospital and Intensive Care Informatics, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, United States of America
| | - Serenity Miller
- Department of Anesthesia, Program in Trauma, University of Maryland School of Medicine
| | - Neeraj Badjatia
- Department of Neurology, Program in Trauma, University of Maryland School of Medicine
| | - Peter Hu
- Department of Anesthesia, Program in Trauma, University of Maryland School of Medicine
| | - Angela Velazquez
- Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, United States of America
| | - David J. Roh
- Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, United States of America,New York Presbyterian Hospital – Columbia University Irving Medical Center, New York, New York, United States of America
| | - Sachin Agarwal
- Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, United States of America,New York Presbyterian Hospital – Columbia University Irving Medical Center, New York, New York, United States of America
| | - Jan Claassen
- Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, United States of America,New York Presbyterian Hospital – Columbia University Irving Medical Center, New York, New York, United States of America
| | - ES. Connolly
- New York Presbyterian Hospital – Columbia University Irving Medical Center, New York, New York, United States of America,Department of Neurosurgery, Columbia University, New York, New York, United States of America
| | - Xiao Hu
- School of Nursing, Duke University, Durham, North Carolina, United States of America,Departments of Electrical and Computer Engineering, Biostatistics and Bioinformatics, Surgery, Neurology, Duke University, Durham, North Carolina, United States of America
| | - Nicholas Morris
- Department of Neurology, Program in Trauma, University of Maryland School of Medicine
| | - Soojin Park
- Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, United States of America,Program for Hospital and Intensive Care Informatics, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, United States of America,New York Presbyterian Hospital – Columbia University Irving Medical Center, New York, New York, United States of America
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25
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Cannarsa GJ, Wessell AP, Chryssikos T, Stokum JA, Kim K, De Paula Carvalho H, Miller TR, Morris N, Badjatia N, Chaturvedi S, Gandhi D, Simard JM, Jindal G. Initial Stress Hyperglycemia Is Associated With Malignant Cerebral Edema, Hemorrhage, and Poor Functional Outcome After Mechanical Thrombectomy. Neurosurgery 2022; 90:66-71. [PMID: 34982872 DOI: 10.1227/neu.0000000000001735] [Citation(s) in RCA: 2] [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: 03/02/2021] [Accepted: 08/10/2021] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Malignant cerebral edema (MCE) and intracranial hemorrhage (ICH) are associated with poor neurological outcomes despite revascularization after mechanical thrombectomy (MT). The factors associated with the development of MCE and ICH after MT are not well understood. OBJECTIVE To determine periprocedural factors associated with MCE, ICH, and poor functional outcome. METHODS We retrospectively analyzed anterior cerebral circulation large vessel occlusion cases that underwent MT from 2012 to 2019 at a single Comprehensive Stroke Center. Multivariate logistic regression analyses were performed to determine significant predictors of MCE, ICH, and poor functional outcome (modified Rankin Scale, 3-6) at 90 d. RESULTS Four hundred patients were included. Significant independent predictors of MCE after MT included initial stress glucose ratio (iSGR) (odds ratio [OR], 14.26; 95% CI, 3.82-53.26; P < .001), National Institutes of Health Stroke Scale (NIHSS) (OR, 1.10; 95% CI, 1.03-1.18; P = .008), internal carotid artery compared with M1 or M2 occlusion, and absence of successful revascularization (OR, 0.16; 95% CI, 0.06-0.44; P < .001). Significant independent predictors of poor functional outcome included MCE (OR, 7.47; 95% CI, 2.20-25.37; P = .001), iSGR (OR, 5.15; 95% CI, 1.82-14.53; P = .002), ICH (OR, 4.77; 95% CI, 1.20-18.69; P = .024), NIHSS (OR, 1.10; 95% CI, 1.05-1.16; P < .001), age (OR, 1.04; 95% CI, 1.03-1.07; P < .001), and thrombolysis in cerebral infarction 2C/3 recanalization (OR, 0.12; 95% CI, 0.05-0.29; P < .001). CONCLUSION Elevated iSGR significantly increases the risk of MCE and ICH and is an independent predictor of poor functional outcome. Thrombolysis in cerebral infarction 2C/3 revascularization is associated with reduced risk of MCE, ICH, and poor functional outcome. Whether stress hyperglycemia represents a modifiable risk factor is uncertain, and further investigation is warranted.
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Affiliation(s)
- Gregory J Cannarsa
- Department of Neurosurgery, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Aaron P Wessell
- Department of Neurosurgery, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Timothy Chryssikos
- Department of Neurosurgery, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Jesse A Stokum
- Department of Neurosurgery, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Kevin Kim
- University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Helio De Paula Carvalho
- Division of Interventional Neuroradiology, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Timothy R Miller
- Division of Interventional Neuroradiology, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Nicholas Morris
- Program in Trauma, Department of Neurology, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Neeraj Badjatia
- Program in Trauma, Department of Neurology, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Seemant Chaturvedi
- Program in Trauma, Department of Neurology, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Dheeraj Gandhi
- Division of Interventional Neuroradiology, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - J Marc Simard
- Department of Neurosurgery, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Gaurav Jindal
- Division of Interventional Neuroradiology, University of Maryland Medical Center, Baltimore, Maryland, USA
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26
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Lim-Hing K, Massetti J, Pajoumand M, Gupta S, Jenkins R, Hassan M, Paganelli P, Parikh G, Chang WT, Schwartzbauer G, Stein D, Badjatia N. Impact of Enteral Albuterol on Bradycardic Events After Acute Cervical Spinal Cord Injury. Neurocrit Care 2021; 36:840-845. [PMID: 34845597 DOI: 10.1007/s12028-021-01384-0] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 10/19/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND Acute cervical spinal cord injury (ACSCI) is commonly complicated by spinal shock, resulting in hemodynamic instability characterized by bradycardia and hypotension that can have fatal consequences. Current guidelines recommend the use of intravenous beta and dopamine agonists, such as norepinephrine and dopamine, respectively. We sought to determine whether enteral albuterol would be a safe and feasible treatment for bradycardia without an increase in the occurrence of known side effects of albuterol in patients with ACSCI. METHODS A retrospective review of patients with ACSCI admitted to an intensive care unit at a level I trauma center and treated with enteral albuterol was conducted. Patients were excluded for the following reasons: pure beta blocker use prior to injury, concurrent use of pacemaker, age of less than 18 years, or age more than 75 years. As part of the standard of care, all patients underwent mean arterial pressure (MAP) augmentation to reach a goal of greater than 85 mm Hg during the first 7 days post injury. All eligible patient charts were reviewed for demographic characteristics, daily minimum and maximum heart rate and MAP, and concomitant vasoactive medication use. Bradycardia and tachycardia were defined as heart rate less than 60 beats per minute (bpm) and greater than 100 bpm, respectively. Factors found to be associated with bradycardia on univariate analysis were entered into a multivariable generalized estimating equation analysis to determine factors independently associated with bradycardia during the study period. RESULTS There were 58 patients with cervical ASCI (age 45 ± 18 years, 76% men) admitted between January 1, 2016, and December 31, 2017, that met the study criteria. The mean time to initiation of albuterol was 1.5 ± 1.7 days post injury, with a duration of 9.3 ± 4.5 days and a mean daily dosage of 7.8 ± 4.5 mg. Bradycardia was observed in 136 of 766 patient days (17%). There were a few episodes of hyperglycemia (1%) and tachycardia (3%), but no episodes of hypokalemia. In a multivariable analysis, female sex (P = 0.006) and American Spinal Cord Injury Association grade A, B, or C (P < 0.001) were associated with a higher risk of developing bradycardia, whereas dosage of albuterol (P = 0.009) and norepinephrine use (P = 0.008) were associated with a lower risk of developing bradycardia. CONCLUSIONS Albuterol administration in ASCI is a safe and feasible treatment for bradycardia, given that no significant side effects, such as hyperglycemia, hypokalemia, or tachycardia, were observed. The administration of enteral albuterol was well tolerated and, in a dose-dependent manner, associated with a lower occurrence of bradycardia. Further prospective trials for the use of enteral albuterol after SCI are warranted.
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Affiliation(s)
- Krista Lim-Hing
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA. .,Department of Pharmacy, University of Maryland Medical Center, University of Maryland School of Medicine, Baltimore, MD, USA.
| | - Jennifer Massetti
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA.,Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Mehrnaz Pajoumand
- Department of Pharmacy, University of Maryland Medical Center, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Shailvi Gupta
- Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA.,Department of Surgery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ryne Jenkins
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Mubariz Hassan
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Paxton Paganelli
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Gunjan Parikh
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.,Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Wan-Tsu Chang
- Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA.,Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Gary Schwartzbauer
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA.,Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Deborah Stein
- Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA.,Department of Surgery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Neeraj Badjatia
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.,Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA
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27
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Morris NA, Mazzeffi M, McArdle P, May TL, Waldrop G, Perman SM, Burke JF, Bradley SM, Agarwal S, Figueroa JF, Badjatia N. Hispanic/Latino-Serving Hospitals Provide Less Targeted Temperature Management Following Out-of-Hospital Cardiac Arrest. J Am Heart Assoc 2021; 10:e017773. [PMID: 34743562 PMCID: PMC9075225 DOI: 10.1161/jaha.121.023934] [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] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Background Variation exists in outcomes following out-of-hospital cardiac arrest, but whether racial and ethnic disparities exist in postarrest provision of targeted temperature management (TTM) is unknown. Methods and Results We performed a retrospective analysis of a prospectively collected cohort of patients who survived to admission following out-of-hospital cardiac arrest from the Cardiac Arrest Registry to Enhance Survival, whose catchment area represents ≈50% of the United States from 2013 to 2019. Our primary exposure was race or ethnicity and primary outcome was utilization of TTM. We built a mixed-effects model with both state of arrest and admitting hospital modeled as random intercepts to account for clustering. Among 96 695 patients (24.6% Black patients, 8.0% Hispanic/Latino patients, and 63.4% White patients), a smaller percentage of Hispanic/Latino patients received TTM than Black or White patients (37.5% versus 45.0% versus 43.3%, P<0.001) following out-of-hospital cardiac arrest. In the mixed-effects model, Black patients (odds ratio [OR], 1.153 [95% CI, 1.102-1.207], P<0.001) and Hispanic/Latino patients (OR, 1.086 [95% CI, 1.017-1.159], P<0.001) were slightly more likely to receive TTM compared with White patients, perhaps because of worse neurological status on admission. We did find community- level disparity because Hispanic/Latino-serving hospitals (defined as the top decile of hospitals that cared for the highest proportion of Hispanic/Latino patients) provided less TTM (OR, 0.587 [95% CI, 0.474-0.742], P<0.001). Conclusions Reassuringly, we did not find evidence of intrahospital or interpersonal racial or ethnic disparity in the provision of TTM. However, we did find interhospital, community-level disparity. Hispanic/Latino-serving hospitals provided less guideline-recommended TTM after out-of-hospital cardiac arrest.
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Affiliation(s)
- Nicholas A Morris
- Department of Neurology Program in Trauma University of Maryland School of Medicine Baltimore MD
| | - Michael Mazzeffi
- Department of Anesthesiology University of Maryland School of Medicine Baltimore MD
| | - Patrick McArdle
- Departments of Medicine and Epidemiology & Public Health University of Maryland School of Medicine Baltimore MD
| | - Teresa L May
- Department of Critical Care Services Maine Medical Center Portland ME
| | - Greer Waldrop
- Department of Neurology Columbia University Vagelos College of Physicians and Surgeons New York NY
| | - Sarah M Perman
- Department of Emergency Medicine Department of Medicine Center for Women's Health Research University of Colorado School of Medicine Aurora CO
| | - James F Burke
- Department of Neurology University of Michigan Ann Arbor MI
| | - Steven M Bradley
- Minneapolis Heart Institute and Minneapolis Heart Institute Foundation Minneapolis MN
| | - Sachin Agarwal
- Department of Neurology Columbia University Vagelos College of Physicians and Surgeons New York NY
| | - Jose F Figueroa
- Department of Health Policy & Management Harvard T.H. Chan School of Public Health Boston MA
| | - Neeraj Badjatia
- Department of Neurology Program in Trauma University of Maryland School of Medicine Baltimore MD
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28
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Morris NA, Mazzeffi M, McArdle P, May TL, Burke JF, Bradley SM, Agarwal S, Badjatia N, Perman SM. Women receive less targeted temperature management than men following out-of-hospital cardiac arrest due to early care limitations - A study from the CARES Investigators. Resuscitation 2021; 169:97-104. [PMID: 34756958 DOI: 10.1016/j.resuscitation.2021.10.036] [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: 07/29/2021] [Revised: 09/28/2021] [Accepted: 10/01/2021] [Indexed: 12/21/2022]
Abstract
BACKGROUND Women experience worse neurological outcomes following out-of-hospital cardiac arrest (OHCA). It is unknown whether sex disparities exist in the use of targeted temperature management (TTM), a standard of care treatment to improve neurological outcomes. METHODS We performed a retrospective study of prospectively collected patients who survived to hospital admission following OHCA from the Cardiac Arrest Registry to Enhance Survival from 2013 through 2019. We compared receipt of TTM by sex in a mixed-effects model adjusted for patient, arrest, neighborhood, and hospital factors, with the admitting hospital modeled as a random intercept. RESULTS Among 123,419 patients, women had lower rates of shockable rhythms (24.4 % vs. 39.2%, P < .001) and lower rates of presumed cardiac aetiologies for arrest (74.3% vs. 81.1%, P < .001). Despite receiving a similar rate of TTM in the field (12.1% vs. 12.6%, P = .02), women received less TTM than men upon admission to the hospital (41.6% vs. 46.4%, P < .001). In an adjusted mixed-effects model, women were less likely than men to receive TTM (Odds Ratio 0.91, 95% Confidence Interval 0.89 to 0.94). Among the 27,729 patients with data indicating the reason for not using TTM, a higher percentage of women did not receive TTM due to Do-Not-Resuscitate orders/family requests (15.1% vs. 11.4%, p < .001) and non-shockable rhythms (11.1% vs. 8.4%, p < .001). CONCLUSIONS We found that women received less TTM than men, likely due to early care limitations and a preponderance of non-shockable rhythms.
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Affiliation(s)
- Nicholas A Morris
- Department of Neurology, Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, United States.
| | - Michael Mazzeffi
- Department of Anesthesia, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Patrick McArdle
- Departments of Medicine and Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Teresa L May
- Department of Critical Care Services, Maine Medical Center, Portland, ME, United States
| | - James F Burke
- Department of Neurology, University of Michigan, Ann Arbor, MI, United States
| | - Steven M Bradley
- Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Minneapolis, MN, United States
| | - Sachin Agarwal
- Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, United States
| | - Neeraj Badjatia
- Department of Neurology, Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Sarah M Perman
- Department of Emergency Medicine, Department of Medicine, Center for Women's Health Research, University of Colorado School of Medicine, Aurora, CO, United States
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29
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Pergakis MB, Chang WTW, Tabatabai A, Phipps MS, Neustein B, Podell JE, Parikh G, Badjatia N, Motta M, Lerner DP, Morris NA. Simulation-Based Assessment of Graduate Neurology Trainees' Performance Managing Acute Ischemic Stroke. Neurology 2021; 97:e2414-e2422. [PMID: 34706974 DOI: 10.1212/wnl.0000000000012972] [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] [Received: 03/13/2021] [Accepted: 09/29/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Multidisciplinary acute stroke teams improve acute ischemic stroke management but may hinder trainees' education which in turn may contribute to poorer outcomes in community hospitals upon graduation. Our goal was to assess graduate neurology trainee performance independent of a multi-disciplinary stroke team in the management of acute ischemic stroke, tissue plasminogen activator (tPA)-related hemorrhage, and cerebral herniation syndrome. METHODS In this prospective, observational, single-center simulation-based study, participants (sub-interns to attending physicians) managed a patient with acute ischemic stroke followed by tPA-related hemorrhagic conversion leading to cerebral herniation. Critical actions were developed by a modified Delphi approach based on relevant American Heart Association guidelines and the Neurocritical Care Society's Emergency Neurological Life Support protocols. The primary outcome measure was graduate neurology trainees' critical action item sum score. We sought validity evidence to support our findings by comparing trainees' performance across four levels of training. RESULTS Fifty-three trainees (including 31 graduate neurology trainees) and five attending physicians completed the simulation. The mean sum of critical actions completed by graduate neurology trainees was 15/22 (68%). Ninety percent of graduate neurology trainees properly administered tPA, 84% immediately stopped tPA infusion following patient deterioration, but only 55% reversed tPA according to guidelines. There was a moderately strong effect of level of training on critical action sum score (level 1 mean score [standard deviation (SD)] = 7.2 (2.8) vs. level 2 mean score (SD) = 12.3 (2.6) vs. level 3 mean score (SD) = 13.3 (2.2) vs. level 4 mean score (SD) = 16.3 (2.4), p < .001, R2 = 0.54). DISCUSSION Graduate neurology trainees reassuringly perform well in initial management of acute ischemic stroke, but frequently make errors in the treatment of hemorrhagic transformation after thrombolysis, suggesting the need for more education surrounding this low frequency, high-acuity event. High-fidelity simulation holds promise as an assessment tool for acute stroke management performance.
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Affiliation(s)
- Melissa B Pergakis
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.,Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Wan-Tsu W Chang
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.,Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.,Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ali Tabatabai
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.,Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Michael S Phipps
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Benjamin Neustein
- Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Jamie E Podell
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.,Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Gunjan Parikh
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.,Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Neeraj Badjatia
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.,Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Melissa Motta
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.,Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA
| | - David P Lerner
- Department of Neurology, Lahey Hospital and Medical Center, Burlington, MA, USA
| | - Nicholas A Morris
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA .,Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA
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30
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Jaffa MN, Jha RM, Elmer J, Kardon A, Podell JE, Zusman BE, Smith MC, Marc Simard J, Parikh GY, Armahizer MJ, Badjatia N, Morris NA. Correction to: Pain Trajectories Following Subarachnoid Hemorrhage are Associated with Continued Opioid Use at Outpatient Follow-Up. Neurocrit Care 2021; 35:928. [PMID: 34661862 PMCID: PMC8895053 DOI: 10.1007/s12028-021-01370-6] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Affiliation(s)
- Matthew N Jaffa
- Department of Neurology, School of Medicine, University of Maryland, Baltimore, MD, USA.,Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA
| | - Ruchira M Jha
- Department of Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.,Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.,Department of Neurosurgery, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.,Safar Center for Resuscitation Research, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.,Clinical and Translational Science Institute, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jonathan Elmer
- Department of Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.,Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.,Department of Emergency Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Adam Kardon
- Department of Neurology, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Jamie E Podell
- Department of Neurology, School of Medicine, University of Maryland, Baltimore, MD, USA.,Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA
| | - Benjamin E Zusman
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Madeleine C Smith
- Department of Neurology, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - J Marc Simard
- Department of Neurosurgery, School of Medicine, University of Maryland, Baltimore, MD, USA.,Department of Pathology, School of Medicine, University of Maryland, Baltimore, MD, USA.,Department of Physiology, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Gunjan Y Parikh
- Department of Neurology, School of Medicine, University of Maryland, Baltimore, MD, USA.,Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA
| | - Michael J Armahizer
- Department of Pharmacy Services, University of Maryland Medical Center, Baltimore, MD, USA
| | - Neeraj Badjatia
- Department of Neurology, School of Medicine, University of Maryland, Baltimore, MD, USA.,Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA
| | - Nicholas A Morris
- Department of Neurology, School of Medicine, University of Maryland, Baltimore, MD, USA. .,Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA.
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31
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Patel NM, Tran QK, Badjatia N, Morris NA. Reader Response: Novel Score for Stratifying Risk of Critical Care Needs in Patients With Intracerebral Hemorrhage. Neurology 2021. [DOI: 10.1212/wnl.0000000000012679] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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32
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Badjatia N, Ryan A, Choi HA, Parikh GY, Jiang X, Day AG, Heyland DK. Relationship Between Nutrition Intake and Outcome After Subarachnoid Hemorrhage: Results From the International Nutritional Survey. J Intensive Care Med 2021; 36:1141-1148. [PMID: 34519558 DOI: 10.1177/0885066620966957] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND A previous study suggested an association between low caloric intake(CI), negative nitrogen balance, and poor outcome after subarachnoid hemorrhage(SAH). Objective of this multinational, multicenter study was to investigate whether clinical outcomes vary by protein intake(PI) or CI in SAH patients adjusting for the nutritional risk as judged by the modified NUTrition Risk in the Critically Ill (mNUTRIC) score. METHODS The International Nutrition Survey(INS) 2007-2014 was utilized to describe the characteristics, outcomes and nutrition use. A subgroup of patients from 2013 and 2014(when NUTRIC score was captured) examined the association between CI and PI and time to discharge alive(TTDA) from hospital using Cox regression models, adjusting for nutrition risk classified by the mNUTRIC score as low(0-4) or high(5-9). RESULTS There were 489 SAH patients(57% female with a mean ± SD age 57.5 ± 13.9 years, BMI of 25.9 ± 5.3 kg/m2 and APACHE-2 score 19.4 ± 7.0. Majority(85%) received enteral nutrition(EN) only, with a time to initiation of EN of 35.4 ± 35.2 hours. 64% had EN interrupted. Patients received a CI of 14.6 ± 7.1 calories/kg/day and PI 0.7 ± 0.3 grams/kg/day corresponding to 59% and 55% of total prescribed CI and PI respectively. In the 2013 and 2014 subgroup there were 226 SAH patients with a mNUTRIC score of 3.4 ± 1.8. Increased CI and PI were associated with faster TTDA among high mNUTRIC patients(HR per 20% of prescription received = 1.34[95% CI,1.03 -1.76] for CI and 1.44[1.07 -1.93] for PI), but not low mNUTRIC patients(CI: HR = 0.95[0.77 -1.16] PI:0.95[0.78 -1.16]). CONCLUSIONS Results from this multicenter study found that SAH patients received under 60% of their prescribed CI and PI. Further, achieving greater CI and PI in hi risk SAH patients was associated with improved TTDA. mNUTRIC serves to identify SAH patients that benefit most from artificial nutrition and efforts to optimize protein and caloric delivery in this subpopulation should be maximized.
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Affiliation(s)
- Neeraj Badjatia
- Program in Trauma, Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Alice Ryan
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - H Alex Choi
- Department of Neurosurgery, University of Texas at Houston, Houston, TX, USA
| | - Gunjan Y Parikh
- Program in Trauma, Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Xuran Jiang
- Clinical Evaluation Research Unit, Kingston General Hospital, Kingston, ON, USA
| | - Andrew G Day
- Clinical Evaluation Research Unit, Kingston General Hospital, Kingston, ON, USA
| | - Daren K Heyland
- Clinical Evaluation Research Unit, Kingston General Hospital, Kingston, ON, USA.,Department of Critical Care Medicine, Queen's University, Kingston, ON, USA
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Lachance BB, Chang W, Motta M, Parikh G, Podell J, Badjatia N, Simard JM, Schwartzbauer GT, Morris NA. Verticalization for Refractory Intracranial Hypertension: A Case Series. Neurocrit Care 2021; 36:463-470. [PMID: 34405321 DOI: 10.1007/s12028-021-01323-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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 07/26/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Severe intracranial hypertension is strongly associated with mortality. Guidelines recommend medical management involving sedation, hyperosmotic agents, barbiturates, hypothermia, and surgical intervention. When these interventions are maximized or are contraindicated, refractory intracranial hypertension poses risk for herniation and death. We describe a novel intervention of verticalization for treating intracranial hypertension refractory to aggressive medical treatment. METHODS This study was a single-center retrospective review of six cases of refractory intracranial hypertension in a tertiary care center. All patients were treated with a standard-of-care algorithm for lowering intracranial pressure (ICP) yet maintained an ICP greater than 20 mmHg. They were then treated with verticalization for at least 24 h. We compared the median ICP, the number of ICP spikes greater than 20 mmHg, and the percentage of ICP values greater than 20 mmHg in the 24 h before verticalization vs. after verticalization. We assessed the use of hyperosmotic therapies and any changes in the mean arterial pressure and cerebral perfusion pressure related with the intervention. RESULTS Five patients were admitted with subarachnoid hemorrhage and one with intracerebral hemorrhage. All patients had ICP monitoring by external ventricular drain. The median opening pressure was 30 mmHg (25th-75th interquartile range 22.5-30 mmHg). All patients demonstrated a reduction in ICP after verticalization, with a significant decrease in the median ICP (12 vs. 8 mmHg; p < 0.001), the number of ICP spikes (12 vs. 2; p < 0.01), and the percentage of ICP values greater than 20 mmHg (50% vs. 8.3%; p < 0.01). There was a decrease in total medical interventions after verticalization (79 vs. 41; p = 0.05) and a lower total therapy intensity level score after verticalization. The most common adverse effects included asymptomatic bradycardia (n = 3) and pressure wounds (n = 4). CONCLUSIONS Verticalization is an effective noninvasive intervention for lowering ICP in intracranial hypertension that is refractory to aggressive standard management and warrants further study.
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Affiliation(s)
- Brittany Bolduc Lachance
- Program in Trauma, Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
| | - WanTsu Chang
- Program in Trauma, Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
- Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Melissa Motta
- Program in Trauma, Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Gunjan Parikh
- Program in Trauma, Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Jamie Podell
- Program in Trauma, Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Neeraj Badjatia
- Program in Trauma, Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - J Marc Simard
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Gary T Schwartzbauer
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Nicholas A Morris
- Program in Trauma, Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
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McCrea MA, Giacino JT, Barber J, Temkin NR, Nelson LD, Levin HS, Dikmen S, Stein M, Bodien YG, Boase K, Taylor SR, Vassar M, Mukherjee P, Robertson C, Diaz-Arrastia R, Okonkwo DO, Markowitz AJ, Manley GT, Adeoye O, Badjatia N, Bullock MR, Chesnut R, Corrigan JD, Crawford K, Duhaime AC, Ellenbogen R, Feeser VR, Ferguson AR, Foreman B, Gardner R, Gaudette E, Goldman D, Gonzalez L, Gopinath S, Gullapalli R, Hemphill JC, Hotz G, Jain S, Keene CD, Korley FK, Kramer J, Kreitzer N, Lindsell C, Machamer J, Madden C, Martin A, McAllister T, Merchant R, Ngwenya LB, Noel F, Nolan A, Palacios E, Perl D, Puccio A, Rabinowitz M, Rosand J, Sander A, Satris G, Schnyer D, Seabury S, Sherer M, Toga A, Valadka A, Wang K, Yue JK, Yuh E, Zafonte R. Functional Outcomes Over the First Year After Moderate to Severe Traumatic Brain Injury in the Prospective, Longitudinal TRACK-TBI Study. JAMA Neurol 2021; 78:982-992. [PMID: 34228047 DOI: 10.1001/jamaneurol.2021.2043] [Citation(s) in RCA: 90] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Importance Moderate to severe traumatic brain injury (msTBI) is a major cause of death and disability in the US and worldwide. Few studies have enabled prospective, longitudinal outcome data collection from the acute to chronic phases of recovery after msTBI. Objective To prospectively assess outcomes in major areas of life function at 2 weeks and 3, 6, and 12 months after msTBI. Design, Setting, and Participants This cohort study, as part of the Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study, was conducted at 18 level 1 trauma centers in the US from February 2014 to August 2018 and prospectively assessed longitudinal outcomes, with follow-up to 12 months postinjury. Participants were patients with msTBI (Glasgow Coma Scale scores 3-12) extracted from a larger group of patients with mild, moderate, or severe TBI who were enrolled in TRACK-TBI. Data analysis took place from October 2019 to April 2021. Exposures Moderate or severe TBI. Main Outcomes and Measures The Glasgow Outcome Scale-Extended (GOSE) and Disability Rating Scale (DRS) were used to assess global functional status 2 weeks and 3, 6, and 12 months postinjury. Scores on the GOSE were dichotomized to determine favorable (scores 4-8) vs unfavorable (scores 1-3) outcomes. Neurocognitive testing and patient reported outcomes at 12 months postinjury were analyzed. Results A total of 484 eligible patients were included from the 2679 individuals in the TRACK-TBI study. Participants with severe TBI (n = 362; 283 men [78.2%]; median [interquartile range] age, 35.5 [25-53] years) and moderate TBI (n = 122; 98 men [80.3%]; median [interquartile range] age, 38 [25-53] years) were comparable on demographic and premorbid variables. At 2 weeks postinjury, 36 of 290 participants with severe TBI (12.4%) and 38 of 93 participants with moderate TBI (41%) had favorable outcomes (GOSE scores 4-8); 301 of 322 in the severe TBI group (93.5%) and 81 of 103 in the moderate TBI group (78.6%) had moderate disability or worse on the DRS (total score ≥4). By 12 months postinjury, 142 of 271 with severe TBI (52.4%) and 54 of 72 with moderate TBI (75%) achieved favorable outcomes. Nearly 1 in 5 participants with severe TBI (52 of 270 [19.3%]) and 1 in 3 with moderate TBI (23 of 71 [32%]) reported no disability (DRS score 0) at 12 months. Among participants in a vegetative state at 2 weeks, 62 of 79 (78%) regained consciousness and 14 of 56 with available data (25%) regained orientation by 12 months. Conclusions and Relevance In this study, patients with msTBI frequently demonstrated major functional gains, including recovery of independence, between 2 weeks and 12 months postinjury. Severe impairment in the short term did not portend poor outcomes in a substantial minority of patients with msTBI. When discussing prognosis during the first 2 weeks after injury, clinicians should be particularly cautious about making early, definitive prognostic statements suggesting poor outcomes and withdrawal of life-sustaining treatment in patients with msTBI.
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Affiliation(s)
- Michael A McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, Massachusetts.,Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston.,Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts
| | - Jason Barber
- Department of Neurological Surgery, University of Washington, Seattle
| | - Nancy R Temkin
- Department of Neurological Surgery, University of Washington, Seattle
| | - Lindsay D Nelson
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
| | - Harvey S Levin
- Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas
| | - Sureyya Dikmen
- Department of Neurological Surgery, University of Washington, Seattle
| | - Murray Stein
- Department of Family Medicine and Public Health, University of California, San Diego, San Diego
| | - Yelena G Bodien
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, Massachusetts.,Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston.,Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts
| | - Kim Boase
- Department of Neurological Surgery, University of Washington, Seattle
| | - Sabrina R Taylor
- Neurological Surgery, University of California, San Francisco, San Francisco
| | - Mary Vassar
- Neurological Surgery, University of California, San Francisco, San Francisco
| | - Pratik Mukherjee
- Neurological Surgery, University of California, San Francisco, San Francisco
| | - Claudia Robertson
- Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas
| | | | - David O Okonkwo
- Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Amy J Markowitz
- Neurological Surgery, University of California, San Francisco, San Francisco
| | - Geoffrey T Manley
- Neurological Surgery, University of California, San Francisco, San Francisco
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Sonia Jain
- University of California, San Diego, La Jolla
| | | | | | - Joel Kramer
- University of California, San Francisco, San Francisco
| | | | | | | | | | | | | | | | | | | | - Amber Nolan
- University of California, San Francisco, San Francisco
| | - Eva Palacios
- University of California, San Francisco, San Francisco
| | - Daniel Perl
- Uniformed Services University, Bethesda, Maryland
| | - Ava Puccio
- University of Pittsburgh, Pittsburgh, Pennsylvania
| | | | | | | | | | | | | | | | - Arthur Toga
- University of Southern California, Los Angeles
| | | | | | - John K Yue
- University of California, San Francisco, San Francisco
| | - Esther Yuh
- University of California, San Francisco, San Francisco
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35
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Yuh EL, Jain S, Sun X, Pisica D, Harris MH, Taylor SR, Markowitz AJ, Mukherjee P, Verheyden J, Giacino JT, Levin HS, McCrea M, Stein MB, Temkin NR, Diaz-Arrastia R, Robertson CS, Lingsma HF, Okonkwo DO, Maas AIR, Manley GT, Adeoye O, Badjatia N, Boase K, Bodien Y, Corrigan JD, Crawford K, Dikmen S, Duhaime AC, Ellenbogen R, Feeser VR, Ferguson AR, Foreman B, Gardner R, Gaudette E, Gonzalez L, Gopinath S, Gullapalli R, Hemphill JC, Hotz G, Keene CD, Kramer J, Kreitzer N, Lindsell C, Machamer J, Madden C, Martin A, McAllister T, Merchant R, Nelson L, Ngwenya LB, Noel F, Nolan A, Palacios E, Perl D, Rabinowitz M, Rosand J, Sander A, Satris G, Schnyer D, Seabury S, Toga A, Valadka A, Vassar M, Zafonte R. Pathological Computed Tomography Features Associated With Adverse Outcomes After Mild Traumatic Brain Injury: A TRACK-TBI Study With External Validation in CENTER-TBI. JAMA Neurol 2021; 78:1137-1148. [PMID: 34279565 PMCID: PMC8290344 DOI: 10.1001/jamaneurol.2021.2120] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Question Are different patterns of intracranial injury on head computed tomography associated with prognosis after mild traumatic brain injury (mTBI)? Findings In this cohort study, subarachnoid hemorrhage, subdural hematoma, and contusion often co-occurred and were associated with both incomplete recovery and more severe impairment out to 12 months after injury, while intraventricular and/or petechial hemorrhage co-occurred and were associated with more severe impairment up to 12 months after injury; epidural hematoma was associated with incomplete recovery at some points but not with more severe impairment. Some intracranial hemorrhage patterns were more strongly associated with outcomes than previously validated demographic and clinical variables. Meaning In this study, different pathological features on head computed tomography carried different implications for mild traumatic brain injury prognosis to 1 year. Importance A head computed tomography (CT) with positive results for acute intracranial hemorrhage is the gold-standard diagnostic biomarker for acute traumatic brain injury (TBI). In moderate to severe TBI (Glasgow Coma Scale [GCS] scores 3-12), some CT features have been shown to be associated with outcomes. In mild TBI (mTBI; GCS scores 13-15), distribution and co-occurrence of pathological CT features and their prognostic importance are not well understood. Objective To identify pathological CT features associated with adverse outcomes after mTBI. Design, Setting, and Participants The longitudinal, observational Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study enrolled patients with TBI, including those 17 years and older with GCS scores of 13 to 15 who presented to emergency departments at 18 US level 1 trauma centers between February 26, 2014, and August 8, 2018, and underwent head CT imaging within 24 hours of TBI. Evaluations of CT imaging used TBI Common Data Elements. Glasgow Outcome Scale–Extended (GOSE) scores were assessed at 2 weeks and 3, 6, and 12 months postinjury. External validation of results was performed via the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. Data analyses were completed from February 2020 to February 2021. Exposures Acute nonpenetrating head trauma. Main Outcomes and Measures Frequency, co-occurrence, and clustering of CT features; incomplete recovery (GOSE scores <8 vs 8); and an unfavorable outcome (GOSE scores <5 vs ≥5) at 2 weeks and 3, 6, and 12 months. Results In 1935 patients with mTBI (mean [SD] age, 41.5 [17.6] years; 1286 men [66.5%]) in the TRACK-TBI cohort and 2594 patients with mTBI (mean [SD] age, 51.8 [20.3] years; 1658 men [63.9%]) in an external validation cohort, hierarchical cluster analysis identified 3 major clusters of CT features: contusion, subarachnoid hemorrhage, and/or subdural hematoma; intraventricular and/or petechial hemorrhage; and epidural hematoma. Contusion, subarachnoid hemorrhage, and/or subdural hematoma features were associated with incomplete recovery (odds ratios [ORs] for GOSE scores <8 at 1 year: TRACK-TBI, 1.80 [95% CI, 1.39-2.33]; CENTER-TBI, 2.73 [95% CI, 2.18-3.41]) and greater degrees of unfavorable outcomes (ORs for GOSE scores <5 at 1 year: TRACK-TBI, 3.23 [95% CI, 1.59-6.58]; CENTER-TBI, 1.68 [95% CI, 1.13-2.49]) out to 12 months after injury, but epidural hematoma was not. Intraventricular and/or petechial hemorrhage was associated with greater degrees of unfavorable outcomes up to 12 months after injury (eg, OR for GOSE scores <5 at 1 year in TRACK-TBI: 3.47 [95% CI, 1.66-7.26]). Some CT features were more strongly associated with outcomes than previously validated variables (eg, ORs for GOSE scores <5 at 1 year in TRACK-TBI: neuropsychiatric history, 1.43 [95% CI .98-2.10] vs contusion, subarachnoid hemorrhage, and/or subdural hematoma, 3.23 [95% CI 1.59-6.58]). Findings were externally validated in 2594 patients with mTBI enrolled in the CENTER-TBI study. Conclusions and Relevance In this study, pathological CT features carried different prognostic implications after mTBI to 1 year postinjury. Some patterns of injury were associated with worse outcomes than others. These results support that patients with mTBI and these CT features need TBI-specific education and systematic follow-up.
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Affiliation(s)
- Esther L Yuh
- Brain and Spinal Injury Center, San Francisco, California.,Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco
| | - Sonia Jain
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla
| | - Xiaoying Sun
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla
| | - Dana Pisica
- Department of Neurosurgery, Erasmus Medical Center, Rotterdam, the Netherlands.,Department of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Mark H Harris
- Brain and Spinal Injury Center, San Francisco, California.,Department of Neurological Surgery, University of California, San Francisco, San Francisco
| | - Sabrina R Taylor
- Brain and Spinal Injury Center, San Francisco, California.,Department of Neurological Surgery, University of California, San Francisco, San Francisco
| | - Amy J Markowitz
- Brain and Spinal Injury Center, San Francisco, California.,Department of Neurological Surgery, University of California, San Francisco, San Francisco
| | - Pratik Mukherjee
- Brain and Spinal Injury Center, San Francisco, California.,Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco
| | - Jan Verheyden
- Research and Development, Icometrix, Leuven, Belgium
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, Massachusetts.,Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts
| | - Harvey S Levin
- Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas
| | - Michael McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
| | - Murray B Stein
- Department of Psychiatry, University of California San Diego, La Jolla.,Veterans Affairs San Diego Healthcare System, San Diego, California
| | - Nancy R Temkin
- Department of Neurological Surgery, University of Washington, Seattle
| | | | | | - Hester F Lingsma
- Department of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands
| | - David O Okonkwo
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Andrew I R Maas
- Department of Neurosurgery, Antwerp University Hospital and University of Antwerp, Edegem, Belgium
| | - Geoffrey T Manley
- Brain and Spinal Injury Center, San Francisco, California.,Department of Neurological Surgery, University of California, San Francisco, San Francisco
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Joel Kramer
- University of California, San Francisco, San Francisco
| | | | | | | | | | | | | | | | | | | | | | - Amber Nolan
- University of California, San Francisco, San Francisco
| | - Eva Palacios
- University of California, San Francisco, San Francisco
| | - Daniel Perl
- Uniformed Services University, Bethesda, Maryland
| | | | | | | | | | | | | | - Arthur Toga
- University of Southern California, Los Angeles
| | | | - Mary Vassar
- University of California, San Francisco, San Francisco
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Badjatia N, Haymore J, Voorhees ME, Goundry K, Lewis C, Judd G, Sanchez S. Development of a Resting Energy Expenditure Estimation in Patients Undergoing Targeted Temperature Management with a Surface Gel Pad Temperature Modulating Device. Ther Hypothermia Temp Manag 2021; 12:38-42. [PMID: 34190628 DOI: 10.1089/ther.2021.0005] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Targeted temperature management (TTM) directly impacts energy expenditure via temperature modulation and shivering associated with temperature modulating devices. We hypothesized that resting energy expenditure (REE) can be accurately estimated utilizing data obtained from a surface gel pad temperature modulating device (TMD) and demographic factors. Baseline demographic data, along with concurrent temperature, sedation, and shivering data, and indirect calorimetry (IDC) were collected from patients undergoing TTM. The data from the IDC and temperature modulation device (TMD) were synchronized and averaged over 60-second intervals to provide simultaneous comparisons. Heat transfer (calories) was calculated from the TMD by an equation that assessed water temperature from the TMD to the patient, water temperature returning to the TMD, water flow rates, and device mode. A linear regression model was used to determine factors associated with REE as measured by IDC. A difference in the mean between REE and estimated REE was used to assess accuracy. There were 48 assessments conducted in 40 subjects [mean (standard deviation)] age: 58 (14) years, 60% female, body surface area (BSA): 2.0 ± 0.3 who underwent simultaneous assessments. Target temperature was 36-37°C in 75%, with a median Bedside Shivering Assessment Score of 0 (range 0-2). Factors associated with REE on multivariable linear regression included older age (p < 0.001), male sex (p = 0.004), higher BSA (p < 0.001), higher patient temperature (p < 0.001), and lower heat transfer (p = 0.003). Adjusted prediction coefficients from this model were then tested against REE by a Bland-Altman analysis. The difference between difference in resting energy estimation (REEdiff) and measured REE by IDC was 6.2 calories/min (REEdiff: 95% confidence interval: -14.1 calories, 26.5 calories, p = 0.5). We believe that the heat transfer data from the TMD coupled with clinical characteristics of patients can be utilized to calculate the REE for every minute of TTM. These data can be utilized to mitigate the consequences of shivering and malnutrition during TTM.
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Affiliation(s)
- Neeraj Badjatia
- Program in Trauma, Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Joseph Haymore
- Department of Nursing, Hood College, Frederick, Maryland, USA
| | - Marc E Voorhees
- Becton Dickinson Urology and Critical Care/Targeted Temperature Management, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Kevin Goundry
- Advance Practice Providers, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Corey Lewis
- Advance Practice Providers, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Gabriella Judd
- Department of Nutrition, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Stephanie Sanchez
- Program in Trauma, Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
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37
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Jaffa MN, Jha RM, Elmer J, Kardon A, Podell JE, Zusman BE, Smith MC, Simard JM, Parikh GY, Armahizer MJ, Badjatia N, Morris NA. Pain Trajectories Following Subarachnoid Hemorrhage are Associated with Continued Opioid Use at Outpatient Follow-up. Neurocrit Care 2021; 35:806-814. [PMID: 34109554 PMCID: PMC8189709 DOI: 10.1007/s12028-021-01282-5] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 05/20/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND Subarachnoid hemorrhage (SAH) is characterized by the worst headache of life and associated with long-term opioid use. Discrete pain trajectories predict chronic opioid use following other etiologies of acute pain, but it is unknown whether they exist following SAH. If discrete pain trajectories following SAH exist, it is uncertain whether they predict long-term opioid use. We sought to characterize pain trajectories after SAH and determine whether they are associated with persistent opioid use. METHODS We reviewed pain scores from patients admitted to a single tertiary care center for SAH from November 2015 to September 2019. Group-based trajectory modeling identified discrete pain trajectories during hospitalization. We compared outcomes across trajectory groups using χ2 and Kruskal-Wallis tests. Multivariable regression determined whether trajectory group membership was an independent predictor of long-term opioid use, defined as continued use at outpatient follow-up. RESULTS We identified five discrete pain trajectories among 305 patients. Group 1 remained pain free. Group 2 reported low scores with intermittent spikes and slight increase over time. Group 3 noted increasing pain severity through day 7 with mild improvement until day 14. Group 4 experienced maximum pain with steady decrement over time. Group 5 reported moderate pain with subtle improvement. In multivariable analysis, trajectory groups 3 (odds ratio [OR] 3.5; 95% confidence interval [CI] 1.5-8.3) and 5 (OR 8.0; 95% CI 3.1-21.1), history of depression (OR 3.6; 95% CI 1.3-10.0) and racial/ethnic minority (OR 2.3; 95% CI 1.3-4.1) were associated with continued opioid use at follow-up (median 62 days following admission, interquartile range 48-96). CONCLUSIONS Discrete pain trajectories following SAH exist. Recognition of pain trajectories may help identify those at risk for long-term opioid use.
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Affiliation(s)
- Matthew N Jaffa
- Department of Neurology, School of Medicine, University of Maryland, Baltimore, MD, USA.,Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA
| | - Ruchira M Jha
- Department of Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.,Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.,Department of Neurosurgery, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.,Safar Center for Resuscitation Research, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.,Clinical and Translational Science Institute, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jonathan Elmer
- Department of Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.,Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.,Department of Emergency Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Adam Kardon
- Department of Neurology, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Jamie E Podell
- Department of Neurology, School of Medicine, University of Maryland, Baltimore, MD, USA.,Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA
| | - Benjamin E Zusman
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Madeleine C Smith
- Department of Neurology, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - J Marc Simard
- Department of Neurosurgery, School of Medicine, University of Maryland, Baltimore, MD, USA.,Department of Pathology, School of Medicine, University of Maryland, Baltimore, MD, USA.,Department of Physiology, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Gunjan Y Parikh
- Department of Neurology, School of Medicine, University of Maryland, Baltimore, MD, USA.,Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA
| | - Michael J Armahizer
- Department of Pharmacy Services, University of Maryland Medical Center, Baltimore, MD, USA
| | - Neeraj Badjatia
- Department of Neurology, School of Medicine, University of Maryland, Baltimore, MD, USA.,Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA
| | - Nicholas A Morris
- Department of Neurology, School of Medicine, University of Maryland, Baltimore, MD, USA. .,Program in Trauma, R Adams Cowley Shock Trauma Center, Baltimore, MD, USA.
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Zhuo J, Jiang L, Rhodes CS, Roys S, Shanmuganathan K, Chen H, Prince JL, Badjatia N, Gullapalli RP. Early Stage Longitudinal Subcortical Volumetric Changes following Mild Traumatic Brain Injury. Brain Inj 2021; 35:725-733. [PMID: 33822686 PMCID: PMC8207827 DOI: 10.1080/02699052.2021.1906445] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 02/15/2021] [Accepted: 03/17/2021] [Indexed: 01/07/2023]
Abstract
Objective: To investigate early brain volumetric changes from acute to 6 months following mild traumatic brain injury (mTBI) in deep gray matter regions and their association with patient 6-month outcome.Methods: Fifty-six patients with mTBI underwent MRI and behavioral evaluation at acute (<10 days) and approximately 1 and 6 months post injury. Regional volume changes were investigated in key gray matter regions: thalamus, hippocampus, putamen, caudate, pallidum, and amygdala, and compared with volumes from 34 healthy control subjects. In patients with mTBI, we further assessed associations between longitudinal regional volume changes with patient outcome measures at 6 months including post-concussive symptoms, cognitive performance, and overall satisfaction with life.Results: Reduction in thalamic and hippocampal volumes was observed at 1 month among patients with mTBI. Such volume reduction persisted in the thalamus until 6 months. Changes in thalamic volumes also correlated with multiple symptom and functional outcome measures in patients at 6 months.Conclusion: Our results indicate that the thalamus may be differentially affected among patients with mTBI, resulting in both structural and functional deficits with subsequent post-concussive sequelae and may serve as a biomarker for the assessment of efficacy of novel therapeutic interventions.
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Affiliation(s)
- Jiachen Zhuo
- Center for Advanced Imaging Research, Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Li Jiang
- Center for Advanced Imaging Research, Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Chandler Sours Rhodes
- Center for Advanced Imaging Research, Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, MD
| | - Steven Roys
- Center for Advanced Imaging Research, Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Karthikamanthan Shanmuganathan
- Center for Advanced Imaging Research, Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Hegang Chen
- Department of Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, MD
| | - Jerry L. Prince
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD
| | - Neeraj Badjatia
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD
| | - Rao P. Gullapalli
- Center for Advanced Imaging Research, Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD
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Affiliation(s)
- Michael J Armahizer
- Department of Pharmacy Services, University of Maryland Medical Center, Baltimore (M.J.A.)
| | - Neeraj Badjatia
- Program in Trauma, Department of Neurology, University of Maryland School of Medicine, Baltimore (N.B.)
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Kole MJ, Wessell AP, Ugiliweneza B, Cannarsa GJ, Fortuny E, Stokum JA, Shea P, Chryssikos T, Khattar NK, Crabill GA, Schreibman DL, Badjatia N, Gandhi D, Aldrich EF, James RF, Simard JM. Low-Dose Intravenous Heparin Infusion After Aneurysmal Subarachnoid Hemorrhage is Associated With Decreased Risk of Delayed Neurological Deficit and Cerebral Infarction. Neurosurgery 2021; 88:523-530. [PMID: 33269390 DOI: 10.1093/neuros/nyaa473] [Citation(s) in RCA: 9] [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: 05/13/2020] [Accepted: 08/03/2020] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Patients who survive aneurysmal subarachnoid hemorrhage (aSAH) are at risk for delayed neurological deficits (DND) and cerebral infarction. In this exploratory cohort comparison analysis, we compared in-hospital outcomes of aSAH patients administered a low-dose intravenous heparin (LDIVH) infusion (12 U/kg/h) vs those administered standard subcutaneous heparin (SQH) prophylaxis for deep vein thrombosis (DVT; 5000 U, 3 × daily). OBJECTIVE To assess the safety and efficacy of LDIVH in aSAH patients. METHODS We retrospectively analyzed 556 consecutive cases of aSAH patients whose aneurysm was secured by clipping or coiling at a single institution over a 10-yr period, including 233 administered the LDIVH protocol and 323 administered the SQH protocol. Radiological and outcome data were compared between the 2 cohorts using multivariable logistic regression and propensity score-based inverse probability of treatment weighting (IPTW). RESULTS The unadjusted rate of cerebral infarction in the LDIVH cohort was half that in SQH cohort (9 vs 18%; P = .004). Multivariable logistic regression showed that patients in the LDIVH cohort were significantly less likely than those in the SQH cohort to have DND (odds ratio (OR) 0.53 [95% CI: 0.33, 0.85]) or cerebral infarction (OR 0.40 [95% CI: 0.23, 0.71]). Analysis following IPTW showed similar results. Rates of hemorrhagic complications, heparin-induced thrombocytopenia and DVT were not different between cohorts. CONCLUSION This cohort comparison analysis suggests that LDIVH infusion may favorably influence the outcome of patients after aSAH. Prospective studies are required to further assess the benefit of LDIVH infusion in patients with aSAH.
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Affiliation(s)
- Matthew J Kole
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - Aaron P Wessell
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - Beatrice Ugiliweneza
- Department of Neurological Surgery, University of Louisville School of Medicine, Louisville, Kentucky
| | - Gregory J Cannarsa
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - Enzo Fortuny
- Department of Neurological Surgery, University of Louisville School of Medicine, Louisville, Kentucky
| | - Jesse A Stokum
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - Phelan Shea
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - Timothy Chryssikos
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - Nicolas K Khattar
- Department of Neurological Surgery, University of Louisville School of Medicine, Louisville, Kentucky
| | - George A Crabill
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - David L Schreibman
- Department of Anesthesiology, University of Maryland School of Medicine, Baltimore, Maryland
| | - Neeraj Badjatia
- Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland
| | - Dheeraj Gandhi
- Department of Radiology, University of Maryland School of Medicine, Baltimore, Maryland
| | - E Francois Aldrich
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - Robert F James
- Department of Neurological Surgery, University of Louisville School of Medicine, Louisville, Kentucky.,Department of Neurological Surgery, University of Indiana, Indianapolis, Indiana
| | - J Marc Simard
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
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Badjatia N, Abella BS, Polderman KH, Geocadin RG, Silbergleit R. Studies Utilizing Therapeutic Hypothermia and Targeted Temperature Management. Ther Hypothermia Temp Manag 2021; 11:71-75. [PMID: 33891481 DOI: 10.1089/ther.2021.29092.njb] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Neeraj Badjatia
- Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Benjamin S Abella
- Center for Resuscitation Science and Department of Emergency Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Kees H Polderman
- Department of Critical Care Medicine, United Memorial Medical Center, Houston, Texas, USA
| | - Romergryko G Geocadin
- Division of Neurocritical Care, Departments of Anesthesiology-Critical Care and Neurology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Robert Silbergleit
- Department of Emergency Medicine, University of Michigan, SIREN Emergency Clinical Trials Network and Neurological Emergencies Treatment, TrialsClinical Coordinating Centers, Ann Arbor, Michigan, USA
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Kalaria SN, Armahizer M, McCarthy P, Badjatia N, Gobburu JV, Gopalakrishnan M. A prospective, real-world, clinical pharmacokinetic study to inform lacosamide dosing in critically ill patients undergoing continuous venovenous haemofiltration (PADRE-02). Br J Clin Pharmacol 2021; 87:4375-4385. [PMID: 33855736 DOI: 10.1111/bcp.14858] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 03/28/2021] [Accepted: 03/31/2021] [Indexed: 01/19/2023] Open
Abstract
AIMS Although the use of continuous renal replacement therapy (CRRT) has increased, limited dosing information exists on the effect of CRRT on antiepileptic drug pharmacokinetics. The objectives of this practice-based study are to evaluate the pharmacokinetics of lacosamide and recommend individualized dosing recommendations in critically ill patients receiving continuous venovenous haemofiltration (CVVH). METHODS Seven patients receiving lacosamide and CVVH in a neurocritical care unit were enrolled. Pre-filter, post-filter and ultrafiltrate samples were obtained at baseline, right after the completion of the infusion, and up to six additional sampling time points post-administration. Patient-specific flow rates and clinical measures were also collected simultaneously at the time of sampling. Plasma concentrations were measured using a validated high-performance liquid chromatography with ultraviolet radiation detection (HPLC-UV) bioanalytical method. Non-compartmental analysis was utilized to characterize the pharmacokinetics of lacosamide. RESULTS The observed mean sieving coefficient for lacosamide was 0.80 ± 0.10, suggesting high removal of lacosamide. Concentrations measured in six out of seven patients were observed to be outside the therapeutic range (5-12 mg/L). The estimated average volume of distribution was found to be similar to healthy patients (0.58 L/kg). The mean bias and precision of the estimated total clearance was -2.53% and 14.9%, respectively. Simulations of various doses suggest that effluent flow rate-based dosing regimens could be used to individualize lacosamide therapeutics. CONCLUSIONS CVVH clearance contributed a major fraction of the total lacosamide clearance in neurocritically ill patients. Given that drug clearance increases with higher effluent flow rates, lacosamide dosing regimens should be increased to match exposures observed in patients with normal renal function.
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Affiliation(s)
- Shamir N Kalaria
- Center for Translational Medicine, School of Pharmacy, University of Maryland, Baltimore, Maryland, United States.,Department of Pharmacy Services, University of Maryland Medical Center, Baltimore, Maryland, United States
| | - Michael Armahizer
- Department of Pharmacy Services, University of Maryland Medical Center, Baltimore, Maryland, United States
| | - Paul McCarthy
- Department of Cardiovascular and Thoracic Surgery, Division of Critical Care, West Virginia University School of Medicine, Morgantown, West Virginia, United States
| | - Neeraj Badjatia
- Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, United States
| | - Jogarao V Gobburu
- Center for Translational Medicine, School of Pharmacy, University of Maryland, Baltimore, Maryland, United States
| | - Mathangi Gopalakrishnan
- Center for Translational Medicine, School of Pharmacy, University of Maryland, Baltimore, Maryland, United States
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Jaffa MN, Podell JE, Smith MC, Foroutan A, Kardon A, Chang WTW, Motta M, Parikh GY, Sheth KN, Badjatia N, Armahizer MJ, Simard JM, Morris NA. Association of Refractory Pain in the Acute Phase After Subarachnoid Hemorrhage With Continued Outpatient Opioid Use. Neurology 2021; 96:e2355-e2362. [PMID: 33766993 DOI: 10.1212/wnl.0000000000011906] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 02/05/2021] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVE Little is known about the prevalence of continued opioid use following aneurysmal subarachnoid hemorrhage (aSAH) despite guidelines recommending their use during the acute phase of disease. We sought to determine prevalence of opioid use following aSAH and test the hypothesis that acute pain and higher inpatient opioid dose increased outpatient opioid use. METHODS We reviewed consecutively admitted patients with aSAH from November 2015 through September 2019. We retrospectively collected pain scores and daily doses of analgesics. Pain burden was calculated as area under the pain-time curve. Univariate and multivariable regression models determined risk factors for continued opioid use at discharge and outpatient follow-up. RESULTS We identified 234 patients with aSAH with outpatient follow-up. Continued opioid use was common at discharge (55% of patients) and follow-up (47% of patients, median 63 [interquartile range 49-96] days from admission). Pain burden, craniotomy, and racial or ethnic minority status were associated with discharge opioid prescription in multivariable analysis. At outpatient follow-up, pain burden (odds ratio [OR] 1.88, 95% confidence interval [CI] 1.5-2.4), depression (OR 3.1, 95% CI 1.1-8.8), and racial or ethnic minority status (OR 2.1, 95% CI 1.1-4.0) were independently associated with continued opioid use; inpatient opioid dose was not. CONCLUSION Continued opioid use following aSAH is prevalent and related to refractory pain during acute illness, but not inpatient opioid dose. More efficacious analgesic strategies are needed to reduce continued opioid use in patients following aSAH. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that continued opioid use following aSAH is associated with refractory pain during acute illness but not hospital opioid exposure.
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Affiliation(s)
- Matthew N Jaffa
- From the Departments of Neurology (M.N.J., J.E.P., A.K., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), Emergency Medicine (W.-T.W.C.), Pharmacy Services (M.J.A.), Neurosurgery (J.M.S.), Pathology (J.M.S.), and Physiology (J.M.S.), and Program in Trauma, R. Adams Cowley Shock Trauma Center (M.N.J., J.E.P., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), University of Maryland School of Medicine (M.C.S., A.F., A.K.), Baltimore; and Department of Neurology, Division of Neurocritical Care and Emergency Neurology (K.N.S.), Yale School of Medicine, New Haven, CT
| | - Jamie E Podell
- From the Departments of Neurology (M.N.J., J.E.P., A.K., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), Emergency Medicine (W.-T.W.C.), Pharmacy Services (M.J.A.), Neurosurgery (J.M.S.), Pathology (J.M.S.), and Physiology (J.M.S.), and Program in Trauma, R. Adams Cowley Shock Trauma Center (M.N.J., J.E.P., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), University of Maryland School of Medicine (M.C.S., A.F., A.K.), Baltimore; and Department of Neurology, Division of Neurocritical Care and Emergency Neurology (K.N.S.), Yale School of Medicine, New Haven, CT
| | - Madeleine C Smith
- From the Departments of Neurology (M.N.J., J.E.P., A.K., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), Emergency Medicine (W.-T.W.C.), Pharmacy Services (M.J.A.), Neurosurgery (J.M.S.), Pathology (J.M.S.), and Physiology (J.M.S.), and Program in Trauma, R. Adams Cowley Shock Trauma Center (M.N.J., J.E.P., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), University of Maryland School of Medicine (M.C.S., A.F., A.K.), Baltimore; and Department of Neurology, Division of Neurocritical Care and Emergency Neurology (K.N.S.), Yale School of Medicine, New Haven, CT
| | - Arshom Foroutan
- From the Departments of Neurology (M.N.J., J.E.P., A.K., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), Emergency Medicine (W.-T.W.C.), Pharmacy Services (M.J.A.), Neurosurgery (J.M.S.), Pathology (J.M.S.), and Physiology (J.M.S.), and Program in Trauma, R. Adams Cowley Shock Trauma Center (M.N.J., J.E.P., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), University of Maryland School of Medicine (M.C.S., A.F., A.K.), Baltimore; and Department of Neurology, Division of Neurocritical Care and Emergency Neurology (K.N.S.), Yale School of Medicine, New Haven, CT
| | - Adam Kardon
- From the Departments of Neurology (M.N.J., J.E.P., A.K., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), Emergency Medicine (W.-T.W.C.), Pharmacy Services (M.J.A.), Neurosurgery (J.M.S.), Pathology (J.M.S.), and Physiology (J.M.S.), and Program in Trauma, R. Adams Cowley Shock Trauma Center (M.N.J., J.E.P., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), University of Maryland School of Medicine (M.C.S., A.F., A.K.), Baltimore; and Department of Neurology, Division of Neurocritical Care and Emergency Neurology (K.N.S.), Yale School of Medicine, New Haven, CT
| | - Wan-Tsu W Chang
- From the Departments of Neurology (M.N.J., J.E.P., A.K., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), Emergency Medicine (W.-T.W.C.), Pharmacy Services (M.J.A.), Neurosurgery (J.M.S.), Pathology (J.M.S.), and Physiology (J.M.S.), and Program in Trauma, R. Adams Cowley Shock Trauma Center (M.N.J., J.E.P., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), University of Maryland School of Medicine (M.C.S., A.F., A.K.), Baltimore; and Department of Neurology, Division of Neurocritical Care and Emergency Neurology (K.N.S.), Yale School of Medicine, New Haven, CT
| | - Melissa Motta
- From the Departments of Neurology (M.N.J., J.E.P., A.K., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), Emergency Medicine (W.-T.W.C.), Pharmacy Services (M.J.A.), Neurosurgery (J.M.S.), Pathology (J.M.S.), and Physiology (J.M.S.), and Program in Trauma, R. Adams Cowley Shock Trauma Center (M.N.J., J.E.P., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), University of Maryland School of Medicine (M.C.S., A.F., A.K.), Baltimore; and Department of Neurology, Division of Neurocritical Care and Emergency Neurology (K.N.S.), Yale School of Medicine, New Haven, CT
| | - Gunjan Y Parikh
- From the Departments of Neurology (M.N.J., J.E.P., A.K., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), Emergency Medicine (W.-T.W.C.), Pharmacy Services (M.J.A.), Neurosurgery (J.M.S.), Pathology (J.M.S.), and Physiology (J.M.S.), and Program in Trauma, R. Adams Cowley Shock Trauma Center (M.N.J., J.E.P., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), University of Maryland School of Medicine (M.C.S., A.F., A.K.), Baltimore; and Department of Neurology, Division of Neurocritical Care and Emergency Neurology (K.N.S.), Yale School of Medicine, New Haven, CT
| | - Kevin N Sheth
- From the Departments of Neurology (M.N.J., J.E.P., A.K., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), Emergency Medicine (W.-T.W.C.), Pharmacy Services (M.J.A.), Neurosurgery (J.M.S.), Pathology (J.M.S.), and Physiology (J.M.S.), and Program in Trauma, R. Adams Cowley Shock Trauma Center (M.N.J., J.E.P., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), University of Maryland School of Medicine (M.C.S., A.F., A.K.), Baltimore; and Department of Neurology, Division of Neurocritical Care and Emergency Neurology (K.N.S.), Yale School of Medicine, New Haven, CT
| | - Neeraj Badjatia
- From the Departments of Neurology (M.N.J., J.E.P., A.K., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), Emergency Medicine (W.-T.W.C.), Pharmacy Services (M.J.A.), Neurosurgery (J.M.S.), Pathology (J.M.S.), and Physiology (J.M.S.), and Program in Trauma, R. Adams Cowley Shock Trauma Center (M.N.J., J.E.P., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), University of Maryland School of Medicine (M.C.S., A.F., A.K.), Baltimore; and Department of Neurology, Division of Neurocritical Care and Emergency Neurology (K.N.S.), Yale School of Medicine, New Haven, CT
| | - Michael J Armahizer
- From the Departments of Neurology (M.N.J., J.E.P., A.K., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), Emergency Medicine (W.-T.W.C.), Pharmacy Services (M.J.A.), Neurosurgery (J.M.S.), Pathology (J.M.S.), and Physiology (J.M.S.), and Program in Trauma, R. Adams Cowley Shock Trauma Center (M.N.J., J.E.P., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), University of Maryland School of Medicine (M.C.S., A.F., A.K.), Baltimore; and Department of Neurology, Division of Neurocritical Care and Emergency Neurology (K.N.S.), Yale School of Medicine, New Haven, CT
| | - J Marc Simard
- From the Departments of Neurology (M.N.J., J.E.P., A.K., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), Emergency Medicine (W.-T.W.C.), Pharmacy Services (M.J.A.), Neurosurgery (J.M.S.), Pathology (J.M.S.), and Physiology (J.M.S.), and Program in Trauma, R. Adams Cowley Shock Trauma Center (M.N.J., J.E.P., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), University of Maryland School of Medicine (M.C.S., A.F., A.K.), Baltimore; and Department of Neurology, Division of Neurocritical Care and Emergency Neurology (K.N.S.), Yale School of Medicine, New Haven, CT
| | - Nicholas A Morris
- From the Departments of Neurology (M.N.J., J.E.P., A.K., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), Emergency Medicine (W.-T.W.C.), Pharmacy Services (M.J.A.), Neurosurgery (J.M.S.), Pathology (J.M.S.), and Physiology (J.M.S.), and Program in Trauma, R. Adams Cowley Shock Trauma Center (M.N.J., J.E.P., W.-T.W.C., M.M., G.Y.P., N.B., N.A.M.), University of Maryland School of Medicine (M.C.S., A.F., A.K.), Baltimore; and Department of Neurology, Division of Neurocritical Care and Emergency Neurology (K.N.S.), Yale School of Medicine, New Haven, CT.
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Greer DM, Ritter J, Helbok R, Badjatia N, Ko SB, Guanci M, Sheth KN. Impact of Fever Prevention in Brain-Injured Patients (INTREPID): Study Protocol for a Randomized Controlled Trial. Neurocrit Care 2021; 35:577-589. [PMID: 33761119 DOI: 10.1007/s12028-021-01208-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [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: 12/20/2020] [Accepted: 02/08/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Multiple studies demonstrate that fever/elevated temperature is associated with poor outcomes in patients with vascular brain injury; however, there are no conclusive studies that demonstrate that fever prevention/controlled normothermia is associated with better outcomes. The primary objective of the INTREPID (Impact of Fever Prevention in Brain-Injured Patients) trial is to test the hypothesis that fever prevention is superior to standard temperature management in patients with acute vascular brain injury. METHODS INTREPID is a prospective randomized open blinded endpoint study of fever prevention versus usual care in patients with ischemic or hemorrhagic stroke. The fever prevention intervention utilizes the Arctic Sun System and will be compared to standard care patients in whom fever may spontaneously develop. Ischemic stroke, intracerebral hemorrhage or subarachnoid hemorrhage patients will be included within disease-specific time-windows. Both awake and sedated patients will be included, and treatment is initiated immediately upon enrollment. Eligible patients are expected to require intensive care for at least 72 h post-injury, will not be deemed unlikely to survive without severe disability, and will be treated for up to 14 days, or until deemed ready for discharge from the ICU, whichever comes first. Fifty sites in the USA and worldwide will participate, with a target enrollment of 1176 patients (1000 evaluable). The target temperature is 37.0 °C. The primary efficacy outcome is the total fever burden by °C-h, defined as the area under the temperature curve above 37.9 °C. The primary secondary outcome, on which the sample size is based, is the modified Rankin Scale Score at 3 months. All efficacy analyses including the primary and key secondary endpoints will be primarily based on an intention-to-treat population. Analysis of the as-treated and per protocol populations will also be performed on the primary and key secondary endpoints as sensitivity analyses. DISCUSSION The INTREPID trial will provide the first results of the impact of a pivotal fever prevention intervention in patients with acute stroke ( www.clinicaltrials.gov ; NCT02996266; registered prospectively 05DEC2016).
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Affiliation(s)
- David M Greer
- Department of Neurology, Boston University School of Medicine, Boston Medical Center, Collamore 3, Suite 338, 72 East Concord Street, Boston, MA, USA.
| | - Jaime Ritter
- Becton Dickenson & Company, Franklin Lakes, NJ, USA
| | - Raimund Helbok
- Department of Neurology, Neurology Medical University of Innsbruck, Anichstreet 65, 6020, Innsbruck, Austria
| | - Neeraj Badjatia
- Program in Trauma, Department of Neurology, University of Maryland School of Medicine, 655 West Baltimore Street, Baltimore, MD, USA
| | - Sang-Bae Ko
- Department of Neurology, Boston University School of Medicine, Boston Medical Center, Collamore 3, Suite 338, 72 East Concord Street, Boston, MA, USA
| | - Mary Guanci
- Neurocritical Care Unit, Massachusetts General Hospital, Lunder Building 6th Floor, 55 Fruit Street, Boston, MA, USA
| | - Kevin N Sheth
- Department of Neurology, Yale University School of Medicine, 15 York Street, LCI 1003, New Haven, CT, USA
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Patel NM, Tran QK, Capobianco P, Traynor T, Armahizer MJ, Motta M, Parikh GY, Badjatia N, Chang WT, Morris NA. Triage of Patients with Intracerebral Hemorrhage to Comprehensive Versus Primary Stroke Centers. J Stroke Cerebrovasc Dis 2021; 30:105672. [PMID: 33730599 DOI: 10.1016/j.jstrokecerebrovasdis.2021.105672] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 01/28/2021] [Accepted: 02/05/2021] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVES The management of patients admitted with intracerebral hemorrhage (ICH) mostly occurs in an ICU. While guidelines recommend initial treatment of these patients in a neurocritical care or stroke unit, there is limited data on which patients would benefit most from transfer to a comprehensive stroke center where on-site neurosurgical coverage is available 24/7. As neurocritical units become more common in primary stroke centers, it is important to determine which patients are most likely to require neurosurgical intervention and transfer to comprehensive stroke centers. MATERIALS AND METHODS This is a retrospective observational cohort study conducted at an academic comprehensive stroke center in the United States. Four-hundred-fifty-nine consecutive patients transferred or directly admitted to the neurocritical care unit from 2016-2018 with the primary diagnosis of ICH were included. Univariate statistics and multivariate regression were used to identify clinical characteristics associated with neurosurgical intervention, defined as undergoing craniotomy, ventriculostomy, or endovascular embolization of an arteriovenous malformation (AVM). RESULTS The following variables were associated with neurosurgical intervention in multivariate analysis: age (OR 0.38, 95% CI 0.27-0.55), admission Glasgow Coma Scale (OR 0.29, 95% CI 0.18-0.48), the presence of intraventricular hemorrhage (OR 2.82, CI 1.71-4.65), infratentorial location of ICH (OR 2.28, 95% CI 1.20-4.31), previous antiplatelet use (OR 2.04, 95% CI 1.24-3.34), and an AVM indicated on CT Angiogram (OR 2.59, 95% CI 1.19-5.63) were independently associated with the need for neurosurgical intervention. This was translated into a scoring system to help make quick triage decisions, with high sensitivity (99%, 95% CI 97-99%) and negative predictive value (98%, 95% CI 89-99%). CONCLUSIONS Using previously well described predictors of severity in ICH patients, we were able to develop a scoring system to predict the need for neurosurgical intervention with high sensitivity and negative predictive value.
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Affiliation(s)
- Nikhil M Patel
- Department of Medicine, Division of Pulmonary and Critical Care, Carolinas Medical Center, Atrium Health, Charlotte, NC USA.
| | - Quincy K Tran
- Department of Emergency Medicine, Program in Trauma, University of Maryland School of Medicine, Baltimore, MD USA
| | - Paul Capobianco
- Research Associate Program in Emergency Medicine and Critical Care, Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD USA
| | - Timothy Traynor
- Research Associate Program in Emergency Medicine and Critical Care, Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD USA
| | - Michael J Armahizer
- Department of Pharmacy, University of Maryland Medical Center, Baltimore, Maryland USA
| | - Melissa Motta
- Department of Neurology, Program in Trauma, University of Maryland School of Medicine, Baltimore, MD USA
| | - Gunjan Y Parikh
- Department of Neurology, Program in Trauma, University of Maryland School of Medicine, Baltimore, MD USA
| | - Neeraj Badjatia
- Department of Neurology, Program in Trauma, University of Maryland School of Medicine, Baltimore, MD USA
| | - Wan-Tsu Chang
- Department of Neurology, Program in Trauma, University of Maryland School of Medicine, Baltimore, MD USA
| | - Nicholas A Morris
- Department of Neurology, Program in Trauma, University of Maryland School of Medicine, Baltimore, MD USA
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Lyden P, Gupta R, Sekhon M, Badjatia N. Temperature Management in Neurological and Neurosurgical Intensive Care Unit. Ther Hypothermia Temp Manag 2021; 11:7-9. [PMID: 33595371 DOI: 10.1089/ther.2021.29080.pjl] [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] [Indexed: 11/13/2022] Open
Affiliation(s)
- Patrick Lyden
- Department of Neurology, USC Keck School of Medicine, Los Angeles, California, USA
| | - Rishi Gupta
- Neurocritical Care, Cerebrovascular and Endovascular Neurosurgery, Wellstar Health System, Atlanta, Georgia, USA
| | - Mypinder Sekhon
- Division of Critical Care, University of British Columbia, Vancouver General Hospital, Vancouver, British Columbia, Canada
| | - Neeraj Badjatia
- Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA
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Pergakis M, Badjatia N, Simard JM. An update on the pharmacological management and prevention of cerebral edema: current therapeutic strategies. Expert Opin Pharmacother 2021; 22:1025-1037. [PMID: 33467932 DOI: 10.1080/14656566.2021.1876663] [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] [Indexed: 10/22/2022]
Abstract
Introduction: Cerebral edema is a common complication of multiple neurological diseases and is a strong predictor of outcome, especially in traumatic brain injury and large hemispheric infarction.Areas Covered: Traditional and current treatments of cerebral edema include treatment with osmotherapy or decompressive craniectomy at the time of clinical deterioration. The authors discuss preclinical and clinical models of a variety of neurological disease states that have identified receptors, ion transporters, and channels involved in the development of cerebral edema as well as modulation of these receptors with promising agents.Expert opinion: Further study is needed on the safety and efficacy of the agents discussed. IV glibenclamide has shown promise in preclinical and clinical trials of cerebral edema in large hemispheric infarct and traumatic brain injury. Consideration of underlying pathophysiology and pharmacodynamics is vital, as the synergistic use of agents has the potential to drastically mitigate cerebral edema and secondary brain injury thusly transforming our treatment paradigms.
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Affiliation(s)
- Melissa Pergakis
- Program in Trauma Department of Neurology University of Maryland School of Medicine,Baltimore MD USA
| | - Neeraj Badjatia
- Program in Trauma Department of Neurology University of Maryland School of Medicine,Baltimore MD USA
| | - J Marc Simard
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA
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Badjatia N, Sanchez S, Judd G, Hausladen R, Hering D, Motta M, Parikh G, Chang W, Morris N, Simard JM, Sorkin J, Wittenberg GF, Ryan AS. Neuromuscular Electrical Stimulation and High-Protein Supplementation After Subarachnoid Hemorrhage: A Single-Center Phase 2 Randomized Clinical Trial. Neurocrit Care 2020; 35:46-55. [PMID: 33150572 DOI: 10.1007/s12028-020-01138-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [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] [Received: 08/10/2020] [Accepted: 10/15/2020] [Indexed: 12/29/2022]
Abstract
INTRODUCTION Aneurysmal subarachnoid hemorrhage (SAH) survivors live with long-term residual physical and cognitive disability. We studied whether neuromuscular electrical stimulation (NMES) and high-protein supplementation (HPRO) in the first 2 weeks after SAH could preserve neuromotor and cognitive function as compared to standard of care (SOC) for nutrition and mobilization. METHODS SAH subjects with a Hunt Hess (HH) grade > 1,modified Fisher score > 1 and BMI < 40 kg/m2 were randomly assigned to SOC or NMES + HPRO. NMES was delivered to bilateral quadricep muscles daily during two 30-min sessions along with HPRO (goal:1.8 g/kg/day) between post-bleed day (PBD) 0 and 14. Primary endpoint was atrophy in the quadricep muscle as measured by the percentage difference in the cross-sectional area from baseline to PBD14 on CT scan. All subjects underwent serial assessments of physical (short performance physical battery, SPPB) cognitive (Montreal Cognitive Assessment Scale, MoCA) and global functional recovery (modified Rankin Scale, mRS) at PBD 14, 42, and 90. RESULTS Twenty-five patients (SOC = 13, NMES + HPRO = 12) enrolled between December 2017 and January 2019 with no between-group differences in baseline characteristics (58 years old, 68% women, 50% HH > 3). Median duration of interventions was 12 days (range 9-14) with completion of 98% of NMES sessions and 83% of goal HPRO, and no reported serious adverse events. There was no difference in caloric intake between groups, but HPRO + NMES group received more protein (1.5 ± 0.5 g/kg/d v 0.9 ± 0.4 g/kg/d, P < 0.01). Muscle atrophy was less in NMES + HPRO than the SOC group (6.5 ± 4.1% vs 12.5 ± 6.4%, P 0.01). Higher atrophy was correlated with lower daily protein intake (ρ = - 0.45, P = 0.03) and lower nitrogen balance (ρ = 0.47, P = 0.02); and worse 3 month SPPB (ρ = - 0.31, P = 0.1) and mRS (ρ = 0.4, P = 0.04). NMES + HPRO patients had a better median [25%,75] SPPB (12[10, 12] v. 9 [4, 12], P = 0.01) and mRS (1[0,2] v.2[1, 3], P = 0.04) than SOC at PBD 90. CONCLUSIONS NMES + HPRO appears to be feasible and safe acutely after SAH and may reduce acute quadriceps muscle wasting with a lasting benefit on recovery after SAH.
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Affiliation(s)
- Neeraj Badjatia
- Program in Trauma, University of Maryland School of Medicine, 22 S. Greene Street G7K19, Baltimore, MD, 21201, USA.
- Departments of Neurology, University of Maryland School of Medicine, Baltimore, USA.
| | - Stephanie Sanchez
- Departments of Neurology, University of Maryland School of Medicine, Baltimore, USA
| | - Gabriella Judd
- Department of Clinical Nutrition, University of Maryland Medical Center, Baltimore, USA
| | - Rachel Hausladen
- Advanced Practice Provider Program, Neurocritical Care Unit, University of Maryland Medical Center, Baltimore, USA
| | - David Hering
- Advanced Practice Provider Program, Neurocritical Care Unit, University of Maryland Medical Center, Baltimore, USA
| | - Melissa Motta
- Program in Trauma, University of Maryland School of Medicine, 22 S. Greene Street G7K19, Baltimore, MD, 21201, USA
- Departments of Neurology, University of Maryland School of Medicine, Baltimore, USA
| | - Gunjan Parikh
- Program in Trauma, University of Maryland School of Medicine, 22 S. Greene Street G7K19, Baltimore, MD, 21201, USA
- Departments of Neurology, University of Maryland School of Medicine, Baltimore, USA
| | - Wendy Chang
- Program in Trauma, University of Maryland School of Medicine, 22 S. Greene Street G7K19, Baltimore, MD, 21201, USA
- Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, USA
| | - Nicholas Morris
- Program in Trauma, University of Maryland School of Medicine, 22 S. Greene Street G7K19, Baltimore, MD, 21201, USA
- Departments of Neurology, University of Maryland School of Medicine, Baltimore, USA
| | - J Marc Simard
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, USA
| | - John Sorkin
- Department of Medicine, University of Maryland School of Medicine, Baltimore, USA
| | - George F Wittenberg
- Departments of Neurology, University of Maryland School of Medicine, Baltimore, USA
- Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, USA
| | - Alice S Ryan
- Department of Medicine, University of Maryland School of Medicine, Baltimore, USA
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Kalaria SN, Armahizer M, McCarthy P, Badjatia N, Gobburu JV, Gopalakrishnan M. A Practice-Based, Clinical Pharmacokinetic Study to Inform Levetiracetam Dosing in Critically Ill Patients Undergoing Continuous Venovenous Hemofiltration (PADRE-01). Clin Transl Sci 2020; 13:950-959. [PMID: 32223067 PMCID: PMC7485952 DOI: 10.1111/cts.12782] [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] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 02/22/2020] [Indexed: 12/11/2022] Open
Abstract
Limited data exist on the effect of continuous renal replacement therapy (CRRT) methods on anti-epileptic drug pharmacokinetics (PK). This prospective practice-based PK study aims to assess the impact of continuous venovenous hemofiltration (CVVH), a modality of CRRT, on levetiracetam PK in critically ill patients and to derive individualized dosing recommendations. Eleven patients receiving oral or intravenous levetiracetam and CVVH in various intensive care units at a large academic medical center were enrolled to investigate the need for dosing adjustments. Prefilter, postfilter, and ultrafiltrate samples were obtained before dosing, after the completion of the infusion or 1-hour postoral dose, and up to 6 additional time points postinfusion or postoral administration. Patient-specific blood and ultrafiltrate flow rates and laboratory values were also collected at the time of sampling. The average sieving coefficient (SC) for levetiracetam was 0.89 ± 0.1, indicating high filter efficiency. Six of the 11 patients experienced concentrations outside the reported therapeutic range (12-46 mg/L). The average volume of distribution was 0.73 L/kg. CVVH clearance contributes a major fraction of the total levetiracetam clearance (36-73%) in neurocritically ill patients. The average bias and precision of the estimated vs. observed total clearance value was ~ 10.6% and 21.5%. Major dose determinants were identified to be SC and effluent flow rate. Patients with higher ultrafiltrate rates will have increased drug clearance and, therefore, will require higher doses in order to match exposures seen in patients with normal renal function.
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Affiliation(s)
- Shamir N. Kalaria
- Center for Translational MedicineUniversity of Maryland School of PharmacyBaltimoreMarylandUSA
- Department of Pharmacy ServicesUniversity of Maryland Medical CenterBaltimoreMarylandUSA
| | - Michael Armahizer
- Department of Pharmacy ServicesUniversity of Maryland Medical CenterBaltimoreMarylandUSA
| | - Paul McCarthy
- Department of Cardiovascular and Thoracic SurgeryDivision of Critical CareWest Virginia University School of MedicineMorgantownWest VirginiaUSA
| | - Neeraj Badjatia
- Department of NeurologyUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - Jogarao V. Gobburu
- Center for Translational MedicineUniversity of Maryland School of PharmacyBaltimoreMarylandUSA
| | - Mathangi Gopalakrishnan
- Center for Translational MedicineUniversity of Maryland School of PharmacyBaltimoreMarylandUSA
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Badjatia N, Gupta N, Sanchez S, Haymore J, Tripathi H, Shah R, Hannan C, Tandri H. Safety and Feasibility of a Novel Transnasal Cooling Device to Induce Normothermia in Febrile Cerebrovascular Patients. Neurocrit Care 2020; 34:500-507. [PMID: 32666372 DOI: 10.1007/s12028-020-01044-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [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: 10/23/2022]
Abstract
BACKGROUND Inducing normothermia with surface cooling temperature modulating devices (TMDs) is cumbersome and often associated with significant shivering. We tested the safety and feasibility of a novel transnasal evaporative cooling device to induce and maintain normothermia in febrile patients following ischemic and hemorrhagic stroke. METHODS A single-center study utilizing the CoolStat® transnasal cooling device was used to achieve core temperature reduction in mechanically ventilated stroke patients with fever (T ≥ 38.3 C) refractory to acetaminophen by inducing an evaporative cooling energy exchange in the nasal turbinates thru a high flow of dehumidified air into the nasal cavity and out through the mouth. Continuous temperature measurements were obtained from tympanic and core (esophageal or bladder) temperature monitors. Safety assessments included continuous monitoring for hypertension, tachycardia, and raised intracranial pressure (when monitored). Otolaryngology (ENT) evaluations were monitored for any device-related nasal mucosal injury with a pre- and post-visual examination. Shivering was assessed every 30 min using the Bedside Shivering Assessment Scale (BSAS). Duration of device use was limited to 8 h, at which time patients were transitioned to routine care for temperature management. RESULTS Ten subjects (median age: 54 years, BMI: 32.5 kg/m2, 60% men) were enrolled with normothermia achieved in 90% of subjects. One subject did not achieve normothermia and was later refractory to other TMDs. Median baseline temperature was 38.5 ± 0.1 C, with a reduction noted by 4 h (38.5 ± 0.1 vs 37.3 ± 0.8, P < 0.001) and sustained at 8 h (38.5 ± 0.1 vs 37.1 ± 0.7, P = 0.001). Time to normothermia was 2.6 ± 1.9 h. The median BSAS was 0 (range 0-1) with only 4 episodes necessitating meperidine across 76 h of study monitoring. No treatment was discontinued due to safety concerns. ENT evaluations noted no device-related adverse findings. CONCLUSIONS Inducing normothermia with a novel transnasal TMD appears to be safe, feasible and not associated with significant shivering. A multicenter trial testing the ability of the CoolStat to maintain normothermia for 24 h is currently underway.
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Affiliation(s)
- Neeraj Badjatia
- Program in Trauma, Department of Neurology, University of Maryland School of Medicine, Baltimore, USA.
| | - Nidhi Gupta
- Department of Otolaryngology, University of Maryland School of Medicine, Baltimore, USA
| | - Stephanie Sanchez
- Program in Trauma, Department of Neurology, University of Maryland School of Medicine, Baltimore, USA
| | | | - Hemantkumar Tripathi
- Program in Trauma, Department of Neurology, University of Maryland School of Medicine, Baltimore, USA
| | - Rushil Shah
- Department of Cardiology, The Johns Hopkins Hospital, Baltimore, USA
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