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Clinical Value of Combined Detection of UA and MMP-9 in Evaluating Bleeding Transformation and Prognosis After Thrombolysis in Acute Cerebral Infarction

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Abstract

This paper presents an in-depth study and analysis of the assessment of hemorrhagic transformation and prognostic outcome after thrombolysis in acute cerebral infarction using a combined test and evaluates its clinical value. The ischemic tissue hemodynamic changes were compared and analyzed by the combined application of magnetic resonance conventional examination. Single-factor and multi-factor Logistic regression analysis was applied to the model group samples to determine the independent influencing factors of hemorrhage and to construct a risk prediction model. The Hosmer–Lemeshow chi-square test was used to test the fit of the model, and the area under the ROC curve was used to test the discriminatory ability of the model. The area under the ROC curve was used to test the discriminatory ability of the model. The main purpose of this study was to investigate the clinical diagnostic value of the combined D-D and Hcy and test for the early detection of patients with acute cerebral infarction disease. There was no significant correlation between single PWI-ASPECTS and clinical prognostic MRS score, which may be related to the site and volume of initial diffusion restriction; the percentage of the mismatched area between DWI-PWI and clinical prognostic mRS score was significantly correlated, which helps clinicians to assess the therapeutic effect of non-thrombolytic therapy and provide an important basis for clinical selection of appropriate interventions in the subacute phase of stroke. The sensitivity of D-D, Hcy, and cTnI in the acute cerebral infarction group was 59.4%, 79.6%, and 49.5%, and the specificity was 73.5%, 70.5%, and 91.1%, respectively, with the area under the curve of 0.606, 0.729, and 0.521. The sensitivity, specificity, and area under the curve of the combined assay were higher than those of the single assay. The detection level of high-risk group was the highest, followed by the low-risk group. Pearson correlation analysis suggests that there is a significant correlation between serum UA and MM-9 level and grace score.

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Data Availability

The data used to support the findings of this study are available from the corresponding author upon request.

References

  1. Suzuki, K., Matsumaru, Y., Takeuchi, M., et al. (2021). Effect of mechanical thrombectomy without vs with intravenous thrombolysis on functional outcome among patients with acute ischemic stroke: The SKIP randomized clinical trial[J]. JAMA, 325(3), 244–253.

    Article  Google Scholar 

  2. Portela de Oliveira, E., Chakraborty, S., Patel, M., et al. (2021). Value of high-density sign on CT images after mechanical thrombectomy for large vessel occlusion in predicting hemorrhage and unfavorable outcome[J]. The Neuroradiology Journal, 34(2), 120–127.

    Article  Google Scholar 

  3. Shi, F., Gong, X., Liu, C., et al. (2019). Acute stroke: Prognostic value of quantitative collateral assessment at perfusion CT[J]. Radiology, 290(3), 760–768.

    Article  Google Scholar 

  4. Neuberger, U., Kickingereder, P., Schönenberger, S., et al. (2019). Risk factors of intracranial hemorrhage after mechanical thrombectomy of anterior circulation ischemic stroke[J]. Neuroradiology, 61(4), 461–469.

    Article  Google Scholar 

  5. Roberts, G., Sires, J., Chen, A., et al. (2021). A comparison of the stress hyperglycemia ratio, glycemic gap, and glucose to assess the impact of stress-induced hyperglycemia on ischemic stroke outcome[J]. Journal of Diabetes, 13(12), 1034–1042.

    Article  CAS  Google Scholar 

  6. Ismael, S., Nasoohi, S., Yoo, A., et al. (2021). Verapamil as an adjunct therapy to reduce tpa toxicity in hyperglycemic stroke: Implication of TXNIP/NLRP3 inflammasome[J]. Molecular Neurobiology, 58(8), 3792–3804.

    Article  CAS  Google Scholar 

  7. Wang, H., Sun, Y., Ge, Y., et al. (2021). A clinical-radiomics nomogram for functional outcome predictions in ischemic stroke[J]. Neurology and Therapy, 10(2), 819–832.

    Article  Google Scholar 

  8. Mackay, M. T., Slavova, N., Pastore-Wapp, M., et al. (2020). Pediatric ASPECTS predicts outcomes following acute symptomatic neonatal arterial stroke[J]. Neurology, 94(12), e1259–e1270.

    Article  Google Scholar 

  9. Makris, K., Haliassos, A., Chondrogianni, M., et al. (2018). Blood biomarkers in ischemic stroke: Potential role and challenges in clinical practice and research[J]. Critical reviews in clinical laboratory sciences, 55(5), 294–328.

    Article  CAS  Google Scholar 

  10. Chen, Z., He, Y., Su, Y., et al. (2021). Association of inflammatory and platelet volume markers with clinical outcome in patients with anterior circulation ischaemic stroke after endovascular thrombectomy[J]. Neurological Research, 43(6), 503–510.

    Article  CAS  Google Scholar 

  11. Li, N., Wu, L., Zhao, W., et al. (2021). Efficacy and safety of normobaric hyperoxia combined with intravenous thrombolysis on acute ischemic stroke patients[J]. Neurological Research, 43(10), 809–814.

    Article  CAS  Google Scholar 

  12. Liu, G., & Geng, J. (2018). Glial fibrillary acidic protein as a prognostic marker of acute ischemic stroke[J]. Human & Experimental Toxicology, 37(10), 1048–1053.

    Article  CAS  Google Scholar 

  13. Ganesh, A., Ospel, J. M., Menon, B. K., et al. (2021). Assessment of discrepancies between follow-up infarct volume and 90-day outcomes among patients with ischemic stroke who received endovascular therapy[J]. JAMA network open, 4(11), e2132376–e2132376.

    Article  Google Scholar 

  14. Zhong, C., Wang, G., Xu, T., et al. (2019). Tissue inhibitor metalloproteinase-1 and clinical outcomes after acute ischemic stroke[J]. Neurology, 93(18), e1675–e1685.

    Article  CAS  Google Scholar 

  15. Mayer, S. A., Frontera, J. A., Jankowitz, B., et al. (2021). Recommended primary outcomes for clinical trials evaluating hemostatic agents in patients with intracranial hemorrhage: A consensus statement[J]. JAMA Network Open, 4(9), e2123629–e2123629.

    Article  Google Scholar 

  16. Hostettler, I. C., Seiffge, D. J., & Werring, D. J. (2019). Intracerebral hemorrhage: An update on diagnosis and treatment[J]. Expert Review of Neurotherapeutics, 19(7), 679–694.

    Article  CAS  Google Scholar 

  17. Uniken Venema, S. M., Postma, A. A., Van Den Wijngaard, I. R., et al. (2021). White matter lesions and outcomes after endovascular treatment for acute ischemic stroke: MR CLEAN Registry Results[J]. Stroke, 52(9), 2849–2857.

    Article  CAS  Google Scholar 

  18. Ravindran, A. V., Killingsworth, M. C., & Bhaskar, S. (2021). Cerebral collaterals in acute ischaemia: Implications for acute ischaemic stroke patients receiving reperfusion therapy[J]. European Journal of Neuroscience, 53(4), 1238–1261.

    Article  CAS  Google Scholar 

  19. Song, A., Chen, J., Sun, Y., et al. (2021). The effect of intravenous thrombolysis on transient ischemic attack and cerebral infarction patients under the guidance of multimodal magnetic resonance imaging[J]. Journal of Medical Imaging and Health Informatics, 11(2), 590–594.

    Article  Google Scholar 

  20. Raposeiras-Roubín, S., Abu-Assi, E., Caneiro Queija, B., et al. (2020). Incidence, predictors and prognostic impact of intracranial bleeding within the first year after an acute coronary syndrome in patients treated with percutaneous coronary intervention[J]. European Heart Journal: Acute Cardiovascular Care, 9(7), 764–770.

    PubMed  Google Scholar 

  21. Sharma, D., & Smith, M. (2022). The intensive care management of acute ischaemic stroke[J]. Current opinion in critical care, 28(2), 157–165.

    Article  Google Scholar 

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Funding

Key Project of Social Development of Jinhua Science and Technology Bureau,2021-3-090,Huimei Kong

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Authors and Affiliations

  1. Neurology Zone 2, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, 321000, Zhejiang, China

    Yaming Fu, Shuihong Zheng, Mingqiao Ying, Hongfang Chen, Jianwei Wang & Xiaobo Yuan

  2. Medical School, Jinhua Polytechnic, Jinhua, 321000, Zhejiang, China

    Huimei Kong

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  1. Yaming Fu
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  2. Shuihong Zheng
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  3. Huimei Kong
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  4. Mingqiao Ying
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  5. Hongfang Chen
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  6. Jianwei Wang
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  7. Xiaobo Yuan
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Correspondence to Huimei Kong.

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Fu, Y., Zheng, S., Kong, H. et al. Clinical Value of Combined Detection of UA and MMP-9 in Evaluating Bleeding Transformation and Prognosis After Thrombolysis in Acute Cerebral Infarction. Appl Biochem Biotechnol 194, 5236–5254 (2022). https://doi.org/10.1007/s12010-022-03990-w

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  • DOI: https://doi.org/10.1007/s12010-022-03990-w

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