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114 related items for PubMed ID: 30314920

  • 1. Predicting mortality in subarachnoid haemorrhage based on first-week routine blood tests.
    Sokół B, Wąsik N, Więckowska B, Mańko W, Juszkat R, Jankowski R.
    J Clin Neurosci; 2018 Dec; 58():100-107. PubMed ID: 30314920
    [Abstract] [Full Text] [Related]

  • 2. Elevated C-reactive protein and white blood cell count at admission predict functional outcome after non-aneurysmal subarachnoid hemorrhage.
    Schuss P, Hadjiathanasiou A, Brandecker S, Güresir Á, Vatter H, Güresir E.
    J Neurol; 2018 Dec; 265(12):2944-2948. PubMed ID: 30317466
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  • 3. The postoperative C-reactive protein level can be a useful prognostic factor for poor outcome and symptomatic vasospasm in patients with aneurysmal subarachnoid hemorrhage.
    Jeon YT, Lee JH, Lee H, Lee HK, Hwang JW, Lim YJ, Park HP.
    J Neurosurg Anesthesiol; 2012 Oct; 24(4):317-24. PubMed ID: 22732721
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  • 4. C-reactive protein as predictor for poor outcome after aneurysmal subarachnoid haemorrhage.
    Juvela S, Kuhmonen J, Siironen J.
    Acta Neurochir (Wien); 2012 Mar; 154(3):397-404. PubMed ID: 22134501
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  • 5. Predictive Value of C-Reactive Protein (CRP) in Identifying Fatal Outcome and Deep Infections in Staphylococcus aureus Bacteremia.
    Mölkänen T, Ruotsalainen E, Rintala EM, Järvinen A.
    PLoS One; 2016 Mar; 11(5):e0155644. PubMed ID: 27182730
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  • 6. Clinical usefulness of early serial measurements of C-reactive protein as outcome predictors in patients with subarachnoid hemorrhage.
    Lee S, Kim YO, Ryu JA.
    BMC Neurol; 2020 Mar 27; 20(1):112. PubMed ID: 32220241
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  • 7. Predictive model for patients with poor-grade subarachnoid haemorrhage in 30-day observation: a 9-year cohort study.
    Szklener S, Melges A, Korchut A, Zaluska W, Trojanowski T, Rejdak R, Rejdak K.
    BMJ Open; 2015 Jun 12; 5(6):e007795. PubMed ID: 26070797
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  • 13. Prognostic Value of Early S100 Calcium Binding Protein B and Neuron-Specific Enolase in Patients with Poor-Grade Aneurysmal Subarachnoid Hemorrhage: A Pilot Study.
    Abboud T, Mende KC, Jung R, Czorlich P, Vettorazzi E, Priefler M, Kluge S, Westphal M, Regelsberger J.
    World Neurosurg; 2017 Dec 12; 108():669-675. PubMed ID: 28943424
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  • 14. Mortality after Spontaneous Subarachnoid Hemorrhage: Causality and Validation of a Prediction Model.
    Abulhasan YB, Alabdulraheem N, Simoneau G, Angle MR, Teitelbaum J.
    World Neurosurg; 2018 Apr 12; 112():e799-e811. PubMed ID: 29410174
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  • 15. Predicting neurological deficit severity due to subarachnoid haemorrhage: soluble CD40 ligand and platelet-derived growth factor-BB.
    Kubo Y, Koji T, Yoshida J, Ogawa A, Ogasawara K.
    Crit Care Resusc; 2016 Dec 12; 18(4):242-246. PubMed ID: 27903205
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  • 17. Association between blood urea nitrogen-to-potassium ratio and 30-day all-cause mortality in patients with non-traumatic subarachnoid hemorrhage.
    Liu H, Zhong Y, Zhang X, Dai A, Lu Z, Xu S, Wei N, Chen J.
    J Clin Neurosci; 2024 Oct 12; 128():110777. PubMed ID: 39137716
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  • 18. Prediction of mortality by hematological parameters on admission in patients with subarachnoid hemorrhage.
    Sadamasa N, Yoshida K, Narumi O, Chin M, Yamagata S.
    Neurol Med Chir (Tokyo); 2011 Oct 12; 51(11):745-8. PubMed ID: 22123475
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  • 19. Early and persistent high level of PS 100β is associated with increased poor neurological outcome in patients with SAH: is there a PS 100β threshold for SAH prognosis?
    Quintard H, Leduc S, Ferrari P, Petit I, Ichai C.
    Crit Care; 2016 Feb 03; 20():33. PubMed ID: 26843206
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  • 20. CRP (C-Reactive Protein) in Outcome Prediction After Subarachnoid Hemorrhage and the Role of Machine Learning.
    Gaastra B, Barron P, Newitt L, Chhugani S, Turner C, Kirkpatrick P, MacArthur B, Galea I, Bulters D.
    Stroke; 2021 Oct 03; 52(10):3276-3285. PubMed ID: 34238015
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