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Tu LH, Tegtmeyer K, de Oliveira Santo ID, Venkatesh AK, Forman HP, Mahajan A, Melnick ER. Abbreviated MRI in the evaluation of dizziness: report turnaround times and impact on length of stay compared to CT, CTA, and conventional MRI. Emerg Radiol 2024; 31:705-711. [PMID: 39034381 DOI: 10.1007/s10140-024-02273-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Accepted: 07/16/2024] [Indexed: 07/23/2024]
Abstract
PURPOSE Neuroimaging is often used in the emergency department (ED) to evaluate for posterior circulation strokes in patients with dizziness, commonly with CT/CTA due to speed and availability. Although MRI offers more sensitive evaluation, it is less commonly used, in part due to slower turnaround times. We assess the potential for abbreviated MRI to improve reporting times and impact on length of stay (LOS) compared to conventional MRI (as well as CT/CTA) in the evaluation of acute dizziness. MATERIALS AND METHODS We performed a retrospective analysis of length of stay via LASSO regression for patients presenting to the ED with dizziness and discharged directly from the ED over 4 years (1/1/2018-12/31/2021), controlling for numerous patient-level and logistical factors. We additionally assessed turnaround time between order and final report for various imaging modalities. RESULTS 14,204 patients were included in our analysis. Turnaround time for abbreviated MRI was significantly lower than for conventional MRI (4.40 h vs. 6.14 h, p < 0.001) with decreased impact on LOS (0.58 h vs. 2.02 h). Abbreviated MRI studies had longer turnaround time (4.40 h vs. 1.41 h, p < 0.001) and was associated with greater impact on ED LOS than non-contrast CT head (0.58 h vs. 0.00 h), however there was no significant difference in turnaround time compared to CTA head and neck (4.40 h vs. 3.86 h, p = 0.06) with similar effect on LOS (0.58 h vs. 0.53 h). Ordering both CTA and conventional MRI was associated with a greater-than-linear increase in LOS (additional 0.37 h); the same trend was not seen combining CTA and abbreviated MRI (additional 0.00 h). CONCLUSIONS In the acute settings where MRI is available, abbreviated MRI protocols may improve turnaround times and LOS compared to conventional MRI protocols. Since recent guidelines recommend MRI over CT in the evaluation of dizziness, implementation of abbreviated MRI protocols has the potential to facilitate rapid access to preferred imaging, while minimizing impact on ED workflows.
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Affiliation(s)
- Long H Tu
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, Tompkins East 2, New Haven, CT 06520, USA.
| | - Kyle Tegtmeyer
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, Tompkins East 2, New Haven, CT 06520, USA
| | - Irene Dixe de Oliveira Santo
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, Tompkins East 2, New Haven, CT 06520, USA
| | - Arjun K Venkatesh
- Department of Emergency Medicine, Yale School of Medicine, 464 Congress Ave # 260, New Haven, CT 06519, USA
| | - Howard P Forman
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, Tompkins East 2, New Haven, CT 06520, USA
| | - Amit Mahajan
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, Tompkins East 2, New Haven, CT 06520, USA
| | - Edward R Melnick
- Department of Emergency Medicine, Yale School of Medicine, 464 Congress Ave # 260, New Haven, CT 06519, USA
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Wechsler PM, Pandya A, Parikh NS, Razzak JA, White H, Navi BB, Kamel H, Liberman AL. Cost-Effectiveness of Increased Use of Dual Antiplatelet Therapy After High-Risk Transient Ischemic Attack or Minor Stroke. J Am Heart Assoc 2024; 13:e032808. [PMID: 38533952 PMCID: PMC11179775 DOI: 10.1161/jaha.123.032808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 02/14/2024] [Indexed: 03/28/2024]
Abstract
BACKGROUND Rates of dual antiplatelet therapy (DAPT) after high-risk transient ischemic attack or minor ischemic stroke (TIAMIS) are suboptimal. We performed a cost-effectiveness analysis to characterize the parameters of a quality improvement (QI) intervention designed to increase DAPT use after TIAMIS. METHODS AND RESULTS We constructed a decision tree model that compared current national rates of DAPT use after TIAMIS with rates after implementing a theoretical QI intervention designed to increase appropriate DAPT use. The base case assumed that a QI intervention increased the rate of DAPT use to 65% from 45%. Costs (payer and societal) and outcomes (stroke, myocardial infarction, major bleed, or death) were modeled using a lifetime horizon. An incremental cost-effectiveness ratio <$100 000 per quality-adjusted life year was considered cost-effective. Deterministic and probabilistic sensitivity analyses were performed. From the payer perspective, a QI intervention was associated with $9657 in lifetime cost savings and 0.18 more quality-adjusted life years compared with current national treatment rates. A QI intervention was cost-effective in 73% of probabilistic sensitivity analysis iterations. Results were similar from the societal perspective. The maximum acceptable, initial, 1-time payer cost of a QI intervention was $28 032 per patient. A QI intervention that increased DAPT use to at least 51% was cost-effective in the base case. CONCLUSIONS Increasing DAPT use after TIAMIS with a QI intervention is cost-effective over a wide range of costs and proportion of patients with TIAMIS treated with DAPT after implementation of a QI intervention. Our results support the development of future interventions focused on increasing DAPT use after TIAMIS.
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Affiliation(s)
- Paul M. Wechsler
- Department of Neurology, Clinical and Translational Neuroscience UnitFeil Family Brain and Mind Research Institute, Weill Cornell MedicineNew YorkNY
| | - Ankur Pandya
- Department of Health Policy and ManagementHarvard T.H. Chan School of Public HealthBostonMA
| | - Neal S. Parikh
- Department of Neurology, Clinical and Translational Neuroscience UnitFeil Family Brain and Mind Research Institute, Weill Cornell MedicineNew YorkNY
| | - Junaid A. Razzak
- Department of Emergency MedicineWeill Cornell MedicineNew YorkNY
| | - Halina White
- Department of Neurology, Clinical and Translational Neuroscience UnitFeil Family Brain and Mind Research Institute, Weill Cornell MedicineNew YorkNY
| | - Babak B. Navi
- Department of Neurology, Clinical and Translational Neuroscience UnitFeil Family Brain and Mind Research Institute, Weill Cornell MedicineNew YorkNY
| | - Hooman Kamel
- Department of Neurology, Clinical and Translational Neuroscience UnitFeil Family Brain and Mind Research Institute, Weill Cornell MedicineNew YorkNY
| | - Ava L. Liberman
- Department of Neurology, Clinical and Translational Neuroscience UnitFeil Family Brain and Mind Research Institute, Weill Cornell MedicineNew YorkNY
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Franklin GM. Cost-effectiveness analysis (CEA) - Where does it fit in the pantheon of evidence-based medicine for neurology? J Neurol Sci 2023; 455:122788. [PMID: 37995458 DOI: 10.1016/j.jns.2023.122788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 11/09/2023] [Indexed: 11/25/2023]
Affiliation(s)
- Gary M Franklin
- Department of Environmental and Occupational Health Sciences, University of Washington School of Public Health; Department of Health Systems and Population Health, University of Washington School of Public Health; Department of Neurology, University of Washington School of Medicine; Washington State Department of Labor and Industries, USA.
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de Havenon A, Orlando C, Delic A, McNally JS, Majersik JJ, Harman T, Alexander M, Reddy V, Lyden S, Anzai Y. Direct cost analysis of rapid MRI in the emergency department evaluation of patients suspected of having acute ischemic stroke*. Neuroradiol J 2023; 36:142-147. [PMID: 35701745 PMCID: PMC10034695 DOI: 10.1177/19714009221108681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Abbreviated "rapid MRI" protocols have become more common for the evaluation of acute ischemic stroke (AIS). Prior research has not evaluated the effect of rapid MRIs on cost or hospital length of stay in AIS patients. METHODS We retrospectively identified AIS patients who presented within 6 h of acute neurologic symptom onset to an emergency department (ED) and activated a "brain attack" code. We included sequential patients from January 2012 to September 2015, before rapid MRI was available, who had CT perfusion (CTP) and compared them to patients from October 2015 to May 2018 who had a rapid MRI. We used inverse-probability-weighting (IPW) to balance the cohorts. The primary outcomes were direct cost to our healthcare system and total hospital length of stay (LOS). RESULTS We included 408 brain attack activations (mean ± SD age 62.1 ± 17.6 years, 47.8% male): 257 in the CTP cohort and 151 in the MRI cohort. Discharge diagnosis was ischemic stroke in 193/408 (47.3%). After patient matching, we found significant reductions for the MRI cohort in total cost (-18.7%, 95% CI -35.0, -2.4, p = 0.02) and hospital LOS (-17.0%, 95% CI -31.2, -2.8, p = 0.02), with no difference in ED LOS (p = 0.74) as compared to the CTP cohort. CONCLUSION Although these results are preliminary and hypothesis-generating, we found that the use of a rapid MRI protocol in emergency department brain attacks was associated with a 18.7% reduction in total direct cost and 17% reduction in hospital length of stay.
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Affiliation(s)
- Adam de Havenon
- Department of Neurology, Yale University, New Haven, CT, USA
| | - Chris Orlando
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - Alen Delic
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | | | | | - Tyler Harman
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - Matthew Alexander
- Department of Radiology, University of Utah, Salt Lake City, UT, USA
| | - Vivek Reddy
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - Stephanie Lyden
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - Yoshimi Anzai
- Department of Radiology, University of Utah, Salt Lake City, UT, USA
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Liberman AL, Zhang C, Lipton RB, Kamel H, Parikh NS, Navi BB, Segal AZ, Razzak J, Newman-Toker DE, Merkler AE. Short-term stroke risk after emergency department treat-and-release headache visit. Headache 2022; 62:1198-1206. [PMID: 36073865 PMCID: PMC10041409 DOI: 10.1111/head.14387] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 08/02/2022] [Indexed: 02/06/2023]
Abstract
OBJECTIVE To evaluate whether patients discharged to home after an emergency department (ED) visit for headache face a heightened short-term risk of stroke. BACKGROUND Stroke hospitalizations that occur soon after ED visits for headache complaints may reflect diagnostic error. METHODS We conducted a retrospective cohort study using statewide administrative claims data for all ED visits and admissions at nonfederal hospitals in Florida 2005-2018 and New York 2005-2016. Using standard International Classification of Diseases (ICD) codes, we identified adult patients discharged to home from the ED (treat-and-release visit) with a benign headache diagnosis (cohort of interest) as well as those with a diagnosis of renal colic or back pain (negative controls). The primary study outcome was hospitalization within 30 days for stroke (ischemic or hemorrhagic) defined using validated ICD codes. We assess the relationship between index ED visit discharge diagnosis and stroke hospitalization adjusting for patient demographics and vascular comorbidities. RESULTS We identified 1,502,831 patients with an ED treat-and-release headache visit; mean age was 41 (standard deviation: 17) years and 1,044,520 (70%) were female. A total of 2150 (0.14%) patients with headache were hospitalized for stroke within 30 days. In adjusted analysis, stroke risk was higher after headache compared to renal colic (hazard ratio [HR]: 2.69; 95% confidence interval [CI]: 2.29-3.16) or back pain (HR: 4.0; 95% CI: 3.74-4.3). In the subgroup of 26,714 (1.78%) patients with headache who received brain magnetic resonance imaging at index ED visit, stroke risk was only slightly elevated compared to renal colic (HR: 1.47; 95% CI: 1.22-1.78) or back pain (HR: 1.49; 95% CI: 1.24-1.80). CONCLUSION Approximately 1 in 700 patients discharged to home from the ED with a headache diagnosis had a stroke in the following month. Stroke risk was three to four times higher after an ED visit for headache compared to renal colic or back pain.
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Affiliation(s)
- Ava L Liberman
- Clinical and Translational Neuroscience Unit, Department of Neurology, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York, USA
| | - Cenai Zhang
- Clinical and Translational Neuroscience Unit, Department of Neurology, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York, USA
| | - Richard B Lipton
- Department of Neurology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Hooman Kamel
- Clinical and Translational Neuroscience Unit, Department of Neurology, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York, USA
| | - Neal S Parikh
- Clinical and Translational Neuroscience Unit, Department of Neurology, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York, USA
| | - Babak B Navi
- Clinical and Translational Neuroscience Unit, Department of Neurology, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York, USA
| | - Alan Z Segal
- Clinical and Translational Neuroscience Unit, Department of Neurology, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York, USA
| | - Junaid Razzak
- Department of Emergency Medicine, Weill Cornell Medicine, New York, New York, USA
| | - David E Newman-Toker
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,Department of Epidemiology and Health Policy & Management, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,Department of Otolaryngology and Emergency Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Alexander E Merkler
- Clinical and Translational Neuroscience Unit, Department of Neurology, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York, USA
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