Predicting 30-day mortality in intensive care unit patients with ischaemic stroke or intracerebral haemorrhage

被引:3
|
作者
van Valburg, Marielle K. [1 ,2 ,18 ]
Termorshuizen, Fabian [3 ,4 ]
Geerts, Bart F. [5 ]
Abdo, Wilson F. [6 ]
van den Bergh, Walter M.
Brinkman, Sylvia [3 ,4 ]
Horn, Janneke [8 ]
van Mook, Walther N. K. A. [7 ,9 ,10 ,11 ]
Slooter, Arjen J. C. [1 ,12 ,13 ,14 ]
Wermer, Marieke J. H. [15 ]
Siegerink, Bob [16 ]
Arbous, M. Sesmu [3 ,16 ,17 ]
机构
[1] Univ Utrecht, Univ Med Ctr Utrecht, Dept Intens Care Med, Utrecht, Netherlands
[2] Amphia Hosp, Dept Anaesthesiol Intens Care & Pain Med, Breda, Netherlands
[3] Univ Amsterdam, Natl Intens Care Evaluat Fdn, Med Ctr, Amsterdam, Netherlands
[4] Univ Amsterdam, Dept Med Informat, Med Ctr, Amsterdam, Netherlands
[5] Healthplus ai BV, Amsterdam, Netherlands
[6] Radboud Univ Nijmegen, Dept Intens Care Med, Med Ctr, Nijmegen, Netherlands
[7] Univ Groningen, Univ Med Ctr Groningen, Dept Crit Care, Groningen, Netherlands
[8] Univ Amsterdam, Dept Intens Care, Med Ctr, Amsterdam, Netherlands
[9] Maastricht Univ, Med Ctr, Dept Intens Care Med, Maastricht, Netherlands
[10] Maastricht Univ, Acad Postgrad Training, Med Ctr, Maastricht, Netherlands
[11] Maastricht Univ, Sch Hlth Profess Educ, Maastricht, Netherlands
[12] Univ Med Ctr Utrecht, UMC Utrecht Brain Ctr, Utrecht, Netherlands
[13] UZ Brussel, Dept Neurol, Brussels, Belgium
[14] Vrije Univ Brussel, Brussels, Belgium
[15] Leiden Univ, Dept Neurol, Med Ctr, Leiden, Netherlands
[16] Leiden Univ, Dept Clin Epidemiol, Med Ctr, Leiden, Netherlands
[17] Leiden Univ, Dept Intens Care, Med Ctr, Leiden, Netherlands
[18] Univ Med Ctr Utrecht, Dept Intens Care Med, POB 85500,8550Mail stop Q04 2 313, NL-3508 GA Utrecht, Netherlands
关键词
ENDOVASCULAR TREATMENT; HOSPITAL MORTALITY; PROFESSIONALS; MANAGEMENT; PROGNOSIS; DECISIONS; STATEMENT;
D O I
10.1097/EJA.0000000000001920
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
BACKGROUND Stroke patients admitted to an intensive care unit (ICU) follow a particular survival pattern with a high short-term mortality, but if they survive the first 30 days, a relatively favourable subsequent survival is observed. OBJECTIVES The development and validation of two prognostic models predicting 30-day mortality for ICU patients with ischaemic stroke and for ICU patients with intracerebral haemorrhage (ICH), analysed separately, based on parameters readily available within 24 h after ICU admission, and with comparison with the existing Acute Physiology and Chronic Health Evaluation IV (APACHE-IV) model. DESIGN Observational cohort study. SETTING All 85 ICUs participating in the Dutch National Intensive Care Evaluation database. PATIENTS All adult patients with ischaemic stroke or ICH admitted to these ICUs between 2010 and 2019. MAIN OUTCOME MEASURES Models were developed using logistic regressions and compared with the existing APACHE-IV model. Predictive performance was assessed using ROC curves, calibration plots and Brier scores. RESULTS We enrolled 14 303 patients with stroke admitted to ICU: 8422 with ischaemic stroke and 5881 with ICH. Thirty-day mortality was 27% in patients with ischaemic stroke and 41% in patients with ICH. Important factors predicting 30-day mortality in both ischaemic stroke and ICH were age, lowest Glasgow Coma Scale (GCS) score in the first 24 h, acute physiological disturbance (measured using the Acute Physiology Score) and the application of mechanical ventilation. Both prognostic models showed high discrimination with an AUC 0.85 [95% confidence interval (CI), 0.84 to 0.87] for patients with ischaemic stroke and 0.85 (0.83 to 0.86) in ICH. Calibration plots and Brier scores indicated an overall good fit and good predictive performance. The APACHE-IV model predicting 30-day mortality showed similar performance with an AUC of 0.86 (95% CI, 0.85 to 0.87) in ischaemic stroke and 0.87 (0.86 to 0.89) in ICH. CONCLUSION We developed and validated two prognostic models for patients with ischaemic stroke and ICH separately with a high discrimination and good calibration to predict 30-day mortality within 24 h after ICU admission.
引用
收藏
页码:136 / 145
页数:10
相关论文
共 50 条
  • [31] Dynamic changes in heparin-binding protein as a prognostic biomarker for 30-day mortality in sepsis patients in the intensive care unit
    Qing-Li Dou
    Jiangping Liu
    Wenwu Zhang
    Ching-Wei Wang
    Yanan Gu
    Na Li
    Rui Hu
    Wan-Ting Hsu
    Amy Huaishiuan Huang
    Hoi Sin Tong
    Tzu-Chun Hsu
    Cheng-An Hsu
    Jun Xu
    Chien-Chang Lee
    Scientific Reports, 12
  • [32] Association between statin use on delirium and 30-day mortality in patients with chronic obstructive pulmonary disease in the intensive care unit
    Xia, Jiangling
    Hu, Chunhuan
    Wang, Leilei
    Zhang, Yuzhu
    EUROPEAN JOURNAL OF MEDICAL RESEARCH, 2023, 28 (01)
  • [33] Association between statin use on delirium and 30-day mortality in patients with chronic obstructive pulmonary disease in the intensive care unit
    Jiangling Xia
    Chunhuan Hu
    Leilei Wang
    Yuzhu Zhang
    European Journal of Medical Research, 28
  • [34] Use of Electronic Health Record Data to Evaluate the Impact of Race on 30-Day Mortality in Patients Admitted to the Intensive Care Unit
    Mallika L. Mundkur
    Fiona M. Callaghan
    Swapna Abhyankar
    Clement J. McDonald
    Journal of Racial and Ethnic Health Disparities, 2017, 4 : 539 - 548
  • [35] Dynamic changes in heparin-binding protein as a prognostic biomarker for 30-day mortality in sepsis patients in the intensive care unit
    Dou, Qing-Li
    Liu, Jiangping
    Zhang, Wenwu
    Wang, Ching-Wei
    Gu, Yanan
    Li, Na
    Hu, Rui
    Hsu, Wan-Ting
    Huang, Amy Huaishiuan
    Tong, Hoi Sin
    Hsu, Tzu-Chun
    Hsu, Cheng-An
    Xu, Jun
    Lee, Chien-Chang
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [36] Failure To Recover From Anemia following Hospital Discharge is Associated With higher 30-Day mortality in Intensive Care Unit Patients
    Roubmian, N.
    Murphy, E.
    Mark, D.
    Liu, V.
    Escobar, G. J.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2017, 195
  • [37] Calprotectin is superior to procalcitonin as a sepsis marker and predictor of 30-day mortality in intensive care patients
    Larsson, Anders
    Tyden, Jonas
    Johansson, Joakim
    Lipcsey, Miklos
    Bergquist, Maria
    Kultima, Kim
    Mandic-Havelka, Aleksandra
    SCANDINAVIAN JOURNAL OF CLINICAL & LABORATORY INVESTIGATION, 2020, 80 (02): : 156 - 161
  • [38] Predicting 30-day mortality for palliative radiotherapy
    Witztum, A.
    Wu, S.
    Gennatas, E.
    Valdes, G.
    Solberg, T.
    Braunstein, S.
    RADIOTHERAPY AND ONCOLOGY, 2019, 133 : S466 - S467
  • [39] Association of Statins With Functional Outcome and 30-Day Mortality in Patients With Intracerebral Hemorrhage
    Marques, Joana Silva
    Ennis, Giovana
    Venade, Gabriela
    Soares, Rita Joao
    Monteiro, Nuno
    Gomes, Ana
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2021, 13 (04)
  • [40] Admission to surgical intensive care unit in time with intensivist coverage and its association with postoperative 30-day mortality: The role of intensivists in a surgical intensive care unit
    Oh, Tak Kyu
    Ji, Eunjeong
    Ahn, Soyeon
    Kim, Dong Jung
    Song, In-Ae
    ANAESTHESIA CRITICAL CARE & PAIN MEDICINE, 2019, 38 (03) : 259 - 263