{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T13:59:38Z","timestamp":1780754378421,"version":"3.54.1"},"reference-count":22,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"First Hospital of Tsinghua University Navigation Fund","award":["2024-LH-12"],"award-info":[{"award-number":["2024-LH-12"]}]},{"DOI":"10.13039\/501100014764","name":"China International Medical Foundation","doi-asserted-by":"crossref","award":["Z-2016-20-2101"],"award-info":[{"award-number":["Z-2016-20-2101"]}],"id":[{"id":"10.13039\/501100014764","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Clin Appl Thromb Hemost"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>To investigate the risk factors for malignant cerebral edema (MCE) following mechanical thrombectomy (MT) in patients with large vessel occlusion (LVO) stroke, construct a risk prediction model, and provide evidence for early intervention.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A retrospective study was conducted on 248 patients with LVO who underwent MT between January 2021 to December 2024 (60 cases in the MCE group and 188 cases in the non-MCE group). Independent predictive factors were identified through univariate analysis, LASSO regression, and multivariate logistic regression. A nomogram model was constructed and validated internally using the Bootstrap method (1,000 resampling).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Independent predictive factors for MCE after MT in LVO patients were identified, including high baseline NIHSS score (\n                      <jats:italic toggle=\"yes\">OR<\/jats:italic>\n                      = 1.805), infarct core volume (\n                      <jats:italic toggle=\"yes\">OR<\/jats:italic>\n                      = 1.235), good collateral circulation was a protective factor (OR = 0.287, indicating that each one-point increase in the collateral score reduced the risk of MCE by 71.3%), high (neutrophil-to-lymphocyte ratio) NLR (OR = 5.312), and hyperglycemia (\n                      <jats:italic toggle=\"yes\">OR<\/jats:italic>\n                      = 15.445) were significant risk factors, while successful reperfusion (mTICI \u2265 2b grade,\n                      <jats:italic toggle=\"yes\">OR<\/jats:italic>\n                      = 0.068) was a key protective factor. The nomogram prediction model constructed based on the above six factors demonstrated excellent discriminative ability (\n                      <jats:italic toggle=\"yes\">AUC<\/jats:italic>\n                      = 0.902,\n                      <jats:italic toggle=\"yes\">95%CI<\/jats:italic>\n                      : 0.844 - 0.959) and good calibration (\n                      <jats:italic toggle=\"yes\">Hosmer-Lemeshow<\/jats:italic>\n                      test,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = 0.906).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>NIHSS score, infarct core volume, collateral circulation, NLR, and blood glucose are independent risk factors for MCE after MT, while successful reperfusion is a key protective factor. The constructed nomogram model can effectively identify high-risk patients and guide individualized interventions.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/10760296261458526","type":"journal-article","created":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T10:26:56Z","timestamp":1780568816000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Risk Factors Analysis and Prediction Model for Malignant Cerebral Edema Following Mechanical Thrombectomy in Patients With Large Vessel Occlusive Stroke"],"prefix":"10.1177","volume":"32","author":[{"given":"Guojian","family":"Zhang","sequence":"first","affiliation":[{"name":"The First Hospital of Tsinghua University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Di","family":"Wang","sequence":"additional","affiliation":[{"name":"The First Hospital of Tsinghua 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