1
|
Ganesh A, Ospel JM, Marko M, van Zwam WH, Roos YBWEM, Majoie CBLM, Goyal M. From Three-Months to Five-Years: Sustaining Long-Term Benefits of Endovascular Therapy for Ischemic Stroke. Front Neurol 2021; 12:713738. [PMID: 34381418 PMCID: PMC8350336 DOI: 10.3389/fneur.2021.713738] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 06/28/2021] [Indexed: 11/28/2022] Open
Abstract
Background and Purpose: During the months and years post-stroke, treatment benefits from endovascular therapy (EVT) may be magnified by disability-related differences in morbidity/mortality or may be eroded by recurrent strokes and non-stroke-related disability/mortality. Understanding the extent to which EVT benefits may be sustained at 5 years, and the factors influencing this outcome, may help us better promote the sustenance of EVT benefits until 5 years post-stroke and beyond. Methods: In this review, undertaken 5 years after EVT became the standard of care, we searched PubMed and EMBASE to examine the current state of the literature on 5-year post-stroke outcomes, with particular attention to modifiable factors that influence outcomes between 3 months and 5 years post-EVT. Results: Prospective cohorts and follow-up data from EVT trials indicate that 3-month EVT benefits will likely translate into lower 5-year disability, mortality, institutionalization, and care costs and higher quality of life. However, these group-level data by no means guarantee maintenance of 3-month benefits for individual patients. We identify factors and associated “action items” for stroke teams/systems at three specific levels (medical care, individual psychosocioeconomic, and larger societal/environmental levels) that influence the long-term EVT outcome of a patient. Medical action items include optimizing stroke rehabilitation, clinical follow-up, secondary stroke prevention, infection prevention/control, and post-stroke depression care. Psychosocioeconomic aspects include addressing access to primary care, specialist clinics, and rehabilitation; affordability of healthy lifestyle choices and preventative therapies; and optimization of family/social support and return-to-work options. High-level societal efforts include improving accessibility of public/private spaces and transportation, empowering/engaging persons with disability in society, and investing in treatments/technologies to mitigate consequences of post-stroke disability. Conclusions: In the longtime horizon from 3 months to 5 years, several factors in the medical and societal spheres could negate EVT benefits. However, many factors can be leveraged to preserve or magnify treatment benefits, with opportunities to share responsibility with widening circles of care around the patient.
Collapse
Affiliation(s)
- Aravind Ganesh
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | | | - Martha Marko
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.,Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Wim H van Zwam
- Department of Radiology, Maastricht University Medical Centre, Maastricht, Netherlands
| | | | | | - Mayank Goyal
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.,Department of Radiology, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| |
Collapse
|
2
|
Crowe RP, Bourn SS, Fernandez AR, Myers JB. Initial Prehospital Rapid Emergency Medicine Score (REMS) as a Predictor of Patient Outcomes. PREHOSP EMERG CARE 2021:1-11. [PMID: 33320716 DOI: 10.1080/10903127.2020.1862944] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 12/05/2020] [Accepted: 12/08/2020] [Indexed: 10/22/2022]
Abstract
Background: A standardized objective measure of prehospital patient risk of hospitalization or death is needed. The Rapid Emergency Medicine Score (REMS), a validated risk-stratification tool, has not been widely tested for prehospital use. This study's objective was to assess predictive characteristics of initial prehospital REMS for ED disposition and overall patient mortality. Methods: This retrospective analysis used linked prehospital and hospital data from the national ESO Data Collaborative. All 911 responses from 1/1/2019-12/31/2019 were included. REMS (0-26) was calculated using age and first prehospital values for: pulse rate, mean arterial pressure, respiratory rate, oxygen saturation, and Glasgow Coma Scale. Non-transports, patients <18 and cardiac arrests prior to EMS arrival were excluded. The primary outcome was ED disposition, dichotomized to discharge versus admission, transfer, or death. The secondary outcome was overall survival to discharge (ED or inpatient). Transfers and records without inpatient disposition were excluded from the secondary analysis. Predictive ability was assessed using area under the receiver operating curve (AUROC). Optimal REMS cut points were determined using test characteristic curves. Univariable logistic regression modeling was used to quantify the association between initial prehospital REMS and each outcome. Results: Of 579,505 eligible records, 94,640 (16%) were excluded due to missing data needed to calculate REMS. Overall, 62% (n = 298,223) of patients were discharged from the ED, 36% (n = 175,212) were admitted, 2% (n = 10,499) were transferred, and 0.2% (n = 931) died in the ED. A REMS of 5 or lower demonstrated optimal statistical prediction for ED discharge versus not discharged (admission/transfer/death) (AUROC: 0.68). Patients with initial prehospital REMS of 5 or lower showed a three-fold increase in odds of ED discharge (OR: 3.28, 95%CI: 3.24-3.32). Of the 457,226 patients included in overall mortality analysis, >98% (n = 450,112) survived. AUROC of initial prehospital REMS for overall mortality was 0.79. A score 7 or lower was statistically optimal for predicting survival. Initial prehospital REMS of 7 or lower was associated with a five-fold increase in odds of overall survival (OR:5.41, 95%CI:5.15-5.69). Conclusion: Initial prehospital REMS was predictive of ED disposition and overall patient mortality, suggesting value as a risk-stratification measure for EMS agencies, systems and researchers.
Collapse
Affiliation(s)
- Remle P Crowe
- ESO, Inc, Austin, Texas (RPC, SB, ARF, JBM); Department of Emergency Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (ARF)
| | - Scott S Bourn
- ESO, Inc, Austin, Texas (RPC, SB, ARF, JBM); Department of Emergency Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (ARF)
| | - Antonio R Fernandez
- ESO, Inc, Austin, Texas (RPC, SB, ARF, JBM); Department of Emergency Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (ARF)
| | - J Brent Myers
- ESO, Inc, Austin, Texas (RPC, SB, ARF, JBM); Department of Emergency Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (ARF)
| |
Collapse
|
3
|
Schlemm L, Endres M, Scheitz JF, Ernst M, Nolte CH, Schlemm E. Comparative Evaluation of 10 Prehospital Triage Strategy Paradigms for Patients With Suspected Acute Ischemic Stroke. J Am Heart Assoc 2019; 8:e012665. [PMID: 31189395 PMCID: PMC6645624 DOI: 10.1161/jaha.119.012665] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background The best strategy to identify patients with suspected acute ischemic stroke and unknown vessel status (large vessel occlusion) for direct transport to a comprehensive stroke center instead of a nearer primary stroke center is unknown. Methods and Results We used mathematical modeling to estimate the impact of 10 increasingly complex prehospital triage strategy paradigms on the reduction of population‐wide stroke‐related disability. The model was applied to suspected acute ischemic stroke patients in (1) abstract geographies, and (2) 3 real‐world urban and rural geographies in Germany. Transport times were estimated based on stroke center location and road infrastructure; spatial distribution of emergency medical services calls was derived from census data with high spatial granularity. Parameter uncertainty was quantified in sensitivity analyses. The mothership strategy was associated with a statistically significant population‐wide gain of 8 to 18 disability‐adjusted life years in the 3 real‐world geographies and in most simulated abstract geographies (net gain −4 to 66 disability‐adjusted life years). Of the more complex paradigms, transportation of patients with clinically suspected large vessel occlusion based on a dichotomous large vessel occlusion detection scale to the nearest comprehensive stroke center yielded an additional clinical benefit of up to 12 disability‐adjusted life years in some rural but not in urban geographies. Triage strategy paradigms based on probabilistic conditional modeling added an additional benefit of 0 to 4 disability‐adjusted life years over less complex strategies if based on variable cutoff scores. Conclusions Variable stroke severity cutoff scores were associated with the highest reduction in stroke‐related disability. The mothership strategy yielded better clinical outcome than the drip‐‘n'‐ship strategy in most geographies.
Collapse
Affiliation(s)
- Ludwig Schlemm
- Klinik und Hochschulambulanz für NeurologieCharité—Universitätsmedizin BerlinGermany
- Center for Stroke Research Berlin (CSB)Charité—Universitätsmedizin BerlinGermany
- Berlin Institute of Health (BIH)BerlinGermany
| | - Matthias Endres
- Klinik und Hochschulambulanz für NeurologieCharité—Universitätsmedizin BerlinGermany
- Center for Stroke Research Berlin (CSB)Charité—Universitätsmedizin BerlinGermany
- Berlin Institute of Health (BIH)BerlinGermany
- DZHK (German Center for Cardiovascular Research)BerlinGermany
- DZNE (German Center for Neurodegenerative Diseases)BerlinGermany
| | - Jan F. Scheitz
- Klinik und Hochschulambulanz für NeurologieCharité—Universitätsmedizin BerlinGermany
- Center for Stroke Research Berlin (CSB)Charité—Universitätsmedizin BerlinGermany
- Berlin Institute of Health (BIH)BerlinGermany
- DZHK (German Center for Cardiovascular Research)BerlinGermany
| | - Marielle Ernst
- Medizinische FakultätUniversität HamburgGermany
- Abteilung für diagnostische und interventionelle NeuroradiologieUniversitätsklinikum Hamburg‐EppendorfHamburgGermany
| | - Christian H. Nolte
- Klinik und Hochschulambulanz für NeurologieCharité—Universitätsmedizin BerlinGermany
- Center for Stroke Research Berlin (CSB)Charité—Universitätsmedizin BerlinGermany
- Berlin Institute of Health (BIH)BerlinGermany
- DZHK (German Center for Cardiovascular Research)BerlinGermany
- DZNE (German Center for Neurodegenerative Diseases)BerlinGermany
| | - Eckhard Schlemm
- Medizinische FakultätUniversität HamburgGermany
- Klinik und Poliklinik für Neurologie, Kopf‐ und NeurozentrumUniversitätsklinikum Hamburg‐EppendorfHamburgGermany
| |
Collapse
|
4
|
Carrera D, Gorchs M, Querol M, Abilleira S, Ribó M, Millán M, Ramos A, Cardona P, Urra X, Rodríguez-Campello A, Prats-Sánchez L, Purroy F, Serena J, Cánovas D, Zaragoza-Brunet J, Krupinski JA, Ustrell X, Saura J, García S, Mora MÀ, Jiménez X, Dávalos A, Pérez de la Ossa N. Revalidation of the RACE scale after its regional implementation in Catalonia: a triage tool for large vessel occlusion. J Neurointerv Surg 2018; 11:751-756. [PMID: 30580284 DOI: 10.1136/neurintsurg-2018-014519] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 11/27/2018] [Accepted: 11/29/2018] [Indexed: 11/04/2022]
Abstract
Background and purposeOur aim was to revalidate the RACE scale, a prehospital tool that aims to identify patients with large vessel occlusion (LVO), after its region-wide implementation in Catalonia, and to analyze geographical differences in access to endovascular treatment (EVT).MethodsWe used data from the prospective CICAT registry (Stroke Code Catalan registry) that includes all stroke code activations. The RACE score evaluated by emergency medical services, time metrics, final diagnosis, presence of LVO, and type of revascularization treatment were registered. Sensitivity, specificity, and area under the curve (AUC) for the RACE cut-off value ≥5 for identification of both LVO and eligibility for EVT were calculated. We compared the rate of EVT and time to EVT of patients transferred from referral centers compared with those directly presenting to comprehensive stroke centers (CSC).ResultsThe RACE scale was evaluated in the field in 1822 patients, showing a strong correlation with the subsequent in-hospital evaluation of the National Institute of Health Stroke Scale evaluated at hospital (r=0.74, P<0.001). A RACE score ≥5 detected LVO with a sensitivity 0.84 and specificity 0.60 (AUC 0.77). Patients with RACE ≥5 harbored a LVO and received EVT more frequently than RACE <5 patients (LVO 35% vs 6%; EVT 20% vs 6%; all P<0.001). Direct admission at a CSC was independently associated with higher odds of receiving EVT compared with admission at a referral center (OR 2.40; 95% CI 1.66 to 3.46), and symtoms onset to groin puncture was 133 min shorter.ConclusionsThis large validation study confirms RACE accuracy to identify stroke patients eligible for EVT, and provides evidence of geographical imbalances in the access to EVT to the detriment of patients located in remote areas.
Collapse
Affiliation(s)
- David Carrera
- Hospital Universitario de Gran Canaria Doctor Negrín, Las Palmas de Gran Canaria, Spain
| | - Montse Gorchs
- Emergency Medical Services of Catalonia, Barcelona, Spain
| | | | - Sònia Abilleira
- Stroke Program, Agency for Health Quality and Assessment of Catalonia, Barcelona, Spain
| | - Marc Ribó
- Hospital Vall d'Hebron, Barcelona, Spain
| | | | - Anna Ramos
- Hospital Germans Trias i Pujol, Badalona, Spain
| | | | - Xabier Urra
- Hospital Clínic, Barcelona, Barcelona, Spain
| | | | | | | | | | | | | | | | | | | | | | | | - Xavier Jiménez
- Emergency Medical Services of Catalonia, Barcelona, Spain
| | | | | |
Collapse
|