Routine ICU admission after brain tumor surgery: retrospective validation and critical appraisal of two prediction scores

被引:2
|
作者
Neumann, Jan-Oliver [1 ]
Schmidt, Stephanie [1 ]
Nohman, Amin [1 ]
Jakobs, Martin [1 ]
Unterberg, Andreas [1 ]
机构
[1] Univ Hosp Heidelberg, Dept Neurosurg, Heidelberg, Germany
关键词
Craniotomy; Adverse effects; Intensive care units; Patient admission; Risk factors; ELECTIVE CRANIOTOMY; INTENSIVE-CARE; POSTOPERATIVE ADMISSION;
D O I
10.1007/s00701-023-05592-9
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
BackgroundRoutine admission to an intensive care unit (ICU) following brain tumor surgery has been a common practice for many years. Although this practice has been challenged by many authors, it has still not changed widely, mainly due to the lack of reliable data for preoperative risk assessment. Motivated by this dilemma, risk prediction scores for postoperative complications following brain tumor surgery have been developed recently. In order to improve the ICU admission policy at our institution, we assessed the applicability, performance, and safety of the two most appropriate risk prediction scores.MethodsOne thousand consecutive adult patients undergoing elective brain tumor resection within 19 months were included. Patients with craniotomy for other causes, i.e., cerebral aneurysms and microvascular decompression, were excluded. The decision for postoperative ICU-surveillance was made by joint judgment of the operating surgeon and the anesthesiologist. All data and features relevant to the scores were extracted from clinical records and subsequent ICU or neurosurgical floor documentation was inspected for any postoperative adverse events requiring ICU admission. The CranioScore derived by Cinotti et al. (Anesthesiology 129(6):1111-20, 5) and the risk assessment score of Munari et al. (Acta Neurochir (Wien) 164(3):635-641, 15) were calculated and prognostic performance was evaluated by ROC analysis.ResultsIn our cohort, both scores showed only a weak prognostic performance: the CranioScore reached a ROC-AUC of 0.65, while Munari et al.'s score achieved a ROC-AUC of 0.67. When applying the recommended decision thresholds for ICU admission, 64% resp. 68% of patients would be classified as in need of ICU surveillance, and the negative predictive value (NPV) would be 91% for both scores. Lowering the thresholds in order to increase patient safety, i.e., 95% NPV, would lead to ICU admission rates of over 85%.ConclusionPerformance of both scores was limited in our cohort. In practice, neither would achieve a significant reduction in ICU admission rates, whereas the number of patients suffering complications at the neurosurgical ward would increase. In future, better risk assessment measures are needed.
引用
收藏
页码:1655 / 1664
页数:10
相关论文
共 50 条
  • [1] Routine ICU admission after brain tumor surgery: retrospective validation and critical appraisal of two prediction scores
    Jan-Oliver Neumann
    Stephanie Schmidt
    Amin Nohman
    Martin Jakobs
    Andreas Unterberg
    Acta Neurochirurgica, 2023, 165 : 1655 - 1664
  • [2] Routine ICU admission is not required after cardiac surgery
    Jacobsohn, E
    DeBrouwere, R
    Kenny, S
    Duke, PC
    Maguire, DS
    Muirhead, BD
    Kowalski, S
    Enns, JP
    Hamilton, GA
    Goodman, RL
    Roberts, D
    ANESTHESIA AND ANALGESIA, 1999, 88 (02): : U66 - U66
  • [3] Bypassing routine ICU admission after cardiac surgery is safe
    Gray, F
    Jacobsohn, E
    Roberts, D
    ANESTHESIA AND ANALGESIA, 2000, 90 (02): : U46 - U46
  • [4] Validation in Indonesia of two published scores for mortality prediction after cardiac surgery
    Widyastuti, Yunita
    Boom, Cindy E.
    Parmana, I. Made A.
    Kurniawaty, Juni
    Jufan, Akhmad Y.
    Hanafy, Dudy A.
    Videm, Vibeke
    ANNALS OF CARDIAC ANAESTHESIA, 2023, 26 (01) : 23 - 28
  • [5] Prediction of ICU admission after orthopedic surgery in elderly patients
    Tang, Yongzhong
    Li, Hao
    Guo, Ziyi
    PAKISTAN JOURNAL OF MEDICAL SCIENCES, 2021, 37 (04) : 1179 - 1184
  • [6] Routine ICU Surveillance after Brain Tumor Surgery: Patient Selection Using Machine Learning
    Neumann, Jan-Oliver
    Schmidt, Stephanie
    Nohman, Amin
    Naser, Paul
    Jakobs, Martin
    Unterberg, Andreas
    JOURNAL OF CLINICAL MEDICINE, 2024, 13 (19)
  • [7] Prediction model for appropriate routine ICU admission after pulmonary resection: multicentre study
    Detillon, Deniece D. E. M. A.
    Noordzij, Peter G.
    Kortekaas, Bettina
    Kortekaas, Robert T. J.
    Hofman, Erik F. N.
    Kant, Merijn
    Rijpstra, Tom A.
    Boonman-de Winter, Leandra J. M.
    Wils, Evert Jan
    Van Eijck, Casper H. J.
    Veen, Eelco J.
    Rettig, Thijs C. D.
    BRITISH JOURNAL OF SURGERY, 2023, 110 (04) : 406 - 408
  • [8] External validation of the Cranioscore for prediction of early postoperative complications requiring ICU after brain tumor craniotomy
    Betbeder, Tom
    Moyer, Jean-Denis
    Jeantrelle, Caroline
    Decq, Philippe
    Sigaut, Stephanie
    ANAESTHESIA CRITICAL CARE & PAIN MEDICINE, 2023, 42 (06)
  • [9] Development and validation of a prediction tool for intraoperative blood transfusion in brain tumor resection surgery: a retrospective analysis
    Xiao, Shugen
    Jiang, Fei
    Chen, Yongmei
    Gong, Xingrui
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [10] Development and validation of a prediction tool for intraoperative blood transfusion in brain tumor resection surgery: a retrospective analysis
    Shugen Xiao
    Fei Jiang
    Yongmei Chen
    Xingrui Gong
    Scientific Reports, 13