Article Figures & Data
Figures
- Fig 1.
Association of CDS with outcome. A progressively lower percentage of patients with good outcomes (mRS 0–2 at 90 days) is seen with each increased level of the CDS.
- Fig 2.
Association of the THRIVE score with outcome. A, Association of the 3 strata of the THRIVE score (0–2, 3–5, and 6–9) with good outcome (mRS 0–2 at 90 days). B, Association of the 3 strata of the THRIVE score (0–2, 3–5, and 6–9) with death by 90 days. C, Range of outcomes measured by the mRS at 90 days, according to the THRIVE score. For each of the 3 strata of the THRIVE score (0–2 versus 3–5 versus 6–9), the range of outcomes on the 90-day mRS is shown. Each increased level of the mRS is displayed by progressively darker gray-scale values, from white (mRS = 0) to black (mRS = 6). There were no patients with mRS = 5 in the THRIVE score 0–2 group.
Tables
- Table 1:
Association of chronic health conditions with outcomes after endovascular stroke treatmenta
Condition Poor Outcome (mRS 3–6) Good Outcome (mRS 0–2) Total (mRS 0–6) OR P Value Adjusted ORb HTN 77.4% (151/195) 60.6% (57/94) 72.0% (208/289) 0.45 <.01 0.56 AFib 46.6% (90/193) 31.9% (30/94) 41.8% (120/287) 0.54 .02 0.53 DM 23.8% (46/193) 12.8% (12/94) 20.2% (58/287) 0.47 .03 0.61 CAD 45.0% (85/189) 34.0% (32/94) 41.3% (117/283) 0.63 .10 n/a CHF 21.6% (41/190) 14.9% (14/94) 19.4% (55/284) 0.64 .20 n/a Tob 21.6% (39/181) 23.9% (21/88) 22.3% (60/269) 1.14 .76 n/a Chol 33.9% (59/174) 35.2% (32/91) 34.3% (91/265) 1.06 .89 n/a -
a Data are presented as percentages in each outcome category for a given diagnosis, followed by the number of patients with the diagnosis in this category over the total number of patients in this category.
-
b OR for good outcome in multivariable logistic regression, including the variables HTN, AFib, and DM.
-
- Table 2:
Multivariable logistic regression: association of age, NIHSS, recanalization, and CDS with good outcome
Variable OR 95% CI P Value Age 0.975 0.955–0.996 .019 NIHSS score 0.890 0.842–0.940 <.001 Recanalization 19.73 7.61–51.23 <.001 CDS 0.665 0.456–0.970 .034 - Table 3:
Multivariable logistic regression: addition of chronic disease scale to age and NIHSS
Model 1 Pseudo-R2 = 0.0804; ROC AUC = 0.683 Model 2 Pseudo-R2 = 0.0928; ROC AUC = 0.709 Variable OR P Value Variable OR P Value Age (3 levels)a 0.609 .007 Age (3 levels) 0.724 .097 NIHSS (3 levels)b 0.353 <.001 NIHSS (3 levels)b 0.388 <.001 CDSc 0.683 .021 -
a Age trichotomized as shown in Table 4.
-
b NIHSS trichotomized as shown in Table 4.
-
c See Table 4.
-
Points NIHSS ≤10 0 11–20 2 ≥21 4 Age ≤59 0 60–79 1 ≥80 2 CDS (1 point each for HTN, DM, AFib) 0 0 1 1 2 2 3 3 THRIVE score = ___ (0–9)
In this issue
Jump to section
Related Articles
Cited By...
- Development and validation of an explainable machine learning prediction model for futile recanalization after mechanical thrombectomy in acute large vessel occlusion stroke
- Developing a nomogram model for 3-month prognosis in patients who had an acute ischaemic stroke after intravenous thrombolysis: a multifactor logistic regression model approach
- Association of cognitive reserve with stroke outcome: a protocol for a systematic review
- Predicting mortality in acute ischaemic stroke treated with mechanical thrombectomy: analysis of a multicentre prospective registry
- Physician, know thyself: implicit and explicit decision-making for mechanical thrombectomy in stroke
- Outcomes of endovascular thrombectomy in the elderly: a 'real-world multicenter study
- A novel biomarker-based prognostic score in acute ischemic stroke: The CoRisk score
- Totaled Health Risks in Vascular Events Score Predicts Clinical Outcome and Symptomatic Intracranial Hemorrhage in Chinese Patients After Thrombolysis
- Discharge disposition to skilled nursing facility after endovascular reperfusion therapy predicts a poor prognosis
- A research roadmap of future endovascular stroke trials
- ASPECTS decay during inter-facility transfer predicts patient outcomes in endovascular reperfusion for ischemic stroke: a unique assessment of dynamic physiologic change over time
- Perfusion-Based Selection for Endovascular Reperfusion Therapy in Anterior Circulation Acute Ischemic Stroke
- Totaled Health Risks in Vascular Events Score Predicts Clinical Outcomes in Patients With Cardioembolic and Other Subtypes of Ischemic Stroke
- Endovascular Therapy for Stroke: Getting to the "Heart" of the Matter
- Optimizing Prediction Scores for Poor Outcome After Intra-Arterial Therapy in Anterior Circulation Acute Ischemic Stroke
- THRIVE Score Predicts Outcomes With a Third-Generation Endovascular Stroke Treatment Device in the TREVO-2 Trial
- THRIVE Score Predicts Ischemic Stroke Outcomes and Thrombolytic Hemorrhage Risk in VISTA
- A novel clinical and imaging based score for predicting outcome prior to endovascular treatment of acute ischemic stroke
- Reduction in Distal Emboli With Proximal Flow Control During Mechanical Thrombectomy: A Quantitative In Vitro Study
- "Picture to Puncture": A Novel Time Metric to Enhance Outcomes in Patients Transferred for Endovascular Reperfusion in Acute Ischemic Stroke
- Infarct Volume Is a Pivotal Biomarker After Intra-Arterial Stroke Therapy
- Selecting stroke patients for intra-arterial therapy
- Patient Outcomes With Endovascular Embolectomy Therapy for Acute Ischemic Stroke: A Study of the National Inpatient Sample: 2006 to 2008