Quantitative collateral score for the prediction of clinical outcomes in stroke patients: Better than visual grading
ObjectivesTo identify preoperative prognostic factors for acute ischemic stroke (AIS) patients receiving mechanical thrombectomy (MT) and compare the performance of quantitative collateral score (qCS) and visual collateral score (vCS) in outcome prediction.MethodsFifty-five patients with AIS receivi...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2022.980135/full |
| _version_ | 1811234362063060992 |
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| author | Qingqing Lu Qingqing Lu Haiyan Zhang Xin Cao Junyan Fu Yuning Pan Xiaodong Zheng Jianhong Wang Daoying Geng Daoying Geng Jun Zhang Jun Zhang |
| author_facet | Qingqing Lu Qingqing Lu Haiyan Zhang Xin Cao Junyan Fu Yuning Pan Xiaodong Zheng Jianhong Wang Daoying Geng Daoying Geng Jun Zhang Jun Zhang |
| author_sort | Qingqing Lu |
| collection | DOAJ |
| description | ObjectivesTo identify preoperative prognostic factors for acute ischemic stroke (AIS) patients receiving mechanical thrombectomy (MT) and compare the performance of quantitative collateral score (qCS) and visual collateral score (vCS) in outcome prediction.MethodsFifty-five patients with AIS receiving MT were retrospectively enrolled. qCS was defined as the percentage of the volume of collaterals of both hemispheres. Based on the dichotomous outcome assessed using a 90-day modified Rankin Scale (mRS), we compared qCS, vCS, age, sex, National Institute of Health stroke scale score, etiological subtype, platelet count, international normalized ratio, glucose levels, and low-density lipoprotein cholesterol (LDL-C) levels between favorable and unfavorable outcome groups. Logistic regression analysis was performed to determine the effect on the clinical outcome. The discriminatory power of qCS, vCS, and their combination with cofounders for determining favorable outcomes was tested with the area under the receiver-operating characteristic curve (AUC).ResultsvCS, qCS, LDL-C, and age could all predict clinical outcomes. qCS is superior over vCS in predicting favorable outcomes with a relatively higher AUC value (qCS vs. vCS: 0.81 vs. 0.74) and a higher sensitivity rate (qCS vs. vCS: 72.7% vs. 40.9%). The prediction power of qCS + LDL-C + age was best with an AUC value of 0.91, but the accuracy was just increased slightly compared to that of qCS alone.ConclusionCollateral scores, LDL-C and age were independent prognostic predictors for patients with AIS receiving MT; qCS was a better predictor than vCS. Furthermore, qCS + LDL-C + age offers a strong prognostic prediction power and qCS alone was another good choice for predicting clinical outcome. |
| first_indexed | 2024-04-12T11:36:27Z |
| format | Article |
| id | doaj.art-844e59d1b8534d0fb4e395fc49ab06de |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-04-12T11:36:27Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-844e59d1b8534d0fb4e395fc49ab06de2022-12-22T03:34:50ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2022-10-011610.3389/fnins.2022.980135980135Quantitative collateral score for the prediction of clinical outcomes in stroke patients: Better than visual gradingQingqing Lu0Qingqing Lu1Haiyan Zhang2Xin Cao3Junyan Fu4Yuning Pan5Xiaodong Zheng6Jianhong Wang7Daoying Geng8Daoying Geng9Jun Zhang10Jun Zhang11State Key Laboratory of Medical Neurobiology, Department of Radiology, Huashan Hospital, Fudan University, Shanghai, ChinaDepartment of Radiology, Ningbo First Hospital, Ningbo, ChinaState Key Laboratory of Medical Neurobiology, Department of Radiology, Huashan Hospital, Fudan University, Shanghai, ChinaState Key Laboratory of Medical Neurobiology, Department of Radiology, Huashan Hospital, Fudan University, Shanghai, ChinaState Key Laboratory of Medical Neurobiology, Department of Radiology, Huashan Hospital, Fudan University, Shanghai, ChinaDepartment of Radiology, Ningbo First Hospital, Ningbo, ChinaDepartment of Radiology, Ningbo First Hospital, Ningbo, ChinaDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, ChinaState Key Laboratory of Medical Neurobiology, Department of Radiology, Huashan Hospital, Fudan University, Shanghai, ChinaNational Center for Neurological Disorders, Shanghai, ChinaState Key Laboratory of Medical Neurobiology, Department of Radiology, Huashan Hospital, Fudan University, Shanghai, ChinaCenter for Shanghai Intelligent Imaging for Critical Brain Diseases Engineering and Technology Research, Huashan Hospital, Fudan University, Shanghai, ChinaObjectivesTo identify preoperative prognostic factors for acute ischemic stroke (AIS) patients receiving mechanical thrombectomy (MT) and compare the performance of quantitative collateral score (qCS) and visual collateral score (vCS) in outcome prediction.MethodsFifty-five patients with AIS receiving MT were retrospectively enrolled. qCS was defined as the percentage of the volume of collaterals of both hemispheres. Based on the dichotomous outcome assessed using a 90-day modified Rankin Scale (mRS), we compared qCS, vCS, age, sex, National Institute of Health stroke scale score, etiological subtype, platelet count, international normalized ratio, glucose levels, and low-density lipoprotein cholesterol (LDL-C) levels between favorable and unfavorable outcome groups. Logistic regression analysis was performed to determine the effect on the clinical outcome. The discriminatory power of qCS, vCS, and their combination with cofounders for determining favorable outcomes was tested with the area under the receiver-operating characteristic curve (AUC).ResultsvCS, qCS, LDL-C, and age could all predict clinical outcomes. qCS is superior over vCS in predicting favorable outcomes with a relatively higher AUC value (qCS vs. vCS: 0.81 vs. 0.74) and a higher sensitivity rate (qCS vs. vCS: 72.7% vs. 40.9%). The prediction power of qCS + LDL-C + age was best with an AUC value of 0.91, but the accuracy was just increased slightly compared to that of qCS alone.ConclusionCollateral scores, LDL-C and age were independent prognostic predictors for patients with AIS receiving MT; qCS was a better predictor than vCS. Furthermore, qCS + LDL-C + age offers a strong prognostic prediction power and qCS alone was another good choice for predicting clinical outcome.https://www.frontiersin.org/articles/10.3389/fnins.2022.980135/fullquantitative collateral scorevisual collateral scoreacute ischemic strokemechanical thrombectomylow-density lipoprotein cholesterolindependent prognostic predictor |
| spellingShingle | Qingqing Lu Qingqing Lu Haiyan Zhang Xin Cao Junyan Fu Yuning Pan Xiaodong Zheng Jianhong Wang Daoying Geng Daoying Geng Jun Zhang Jun Zhang Quantitative collateral score for the prediction of clinical outcomes in stroke patients: Better than visual grading Frontiers in Neuroscience quantitative collateral score visual collateral score acute ischemic stroke mechanical thrombectomy low-density lipoprotein cholesterol independent prognostic predictor |
| title | Quantitative collateral score for the prediction of clinical outcomes in stroke patients: Better than visual grading |
| title_full | Quantitative collateral score for the prediction of clinical outcomes in stroke patients: Better than visual grading |
| title_fullStr | Quantitative collateral score for the prediction of clinical outcomes in stroke patients: Better than visual grading |
| title_full_unstemmed | Quantitative collateral score for the prediction of clinical outcomes in stroke patients: Better than visual grading |
| title_short | Quantitative collateral score for the prediction of clinical outcomes in stroke patients: Better than visual grading |
| title_sort | quantitative collateral score for the prediction of clinical outcomes in stroke patients better than visual grading |
| topic | quantitative collateral score visual collateral score acute ischemic stroke mechanical thrombectomy low-density lipoprotein cholesterol independent prognostic predictor |
| url | https://www.frontiersin.org/articles/10.3389/fnins.2022.980135/full |
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