Department of Neurosurgery, University Hospital Heidelberg, Heidelberg, Germany.
Acta Neurochir (Wien). 2023 Jun;165(6):1655-1664. doi: 10.1007/s00701-023-05592-9. Epub 2023 Apr 29.
Routine 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.
One 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.
In 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%.
Performance 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.
多年来,脑肿瘤手术后常规入住重症监护病房(ICU)一直是一种常见做法。尽管许多作者对这种做法提出了质疑,但由于缺乏可靠的术前风险评估数据,这种做法并没有广泛改变。受这一困境的启发,最近开发了用于预测脑肿瘤手术后并发症的风险预测评分。为了改进我们机构的 ICU 入院政策,我们评估了两种最合适的风险预测评分的适用性、性能和安全性。
在 19 个月内纳入了 1000 例接受择期脑肿瘤切除术的成年患者。排除因其他原因行开颅术的患者,例如脑动脉瘤和微血管减压术。术后 ICU 监测的决定由手术医生和麻醉师共同判断。从病历中提取与评分相关的数据和特征,并检查随后的 ICU 或神经外科病房记录,以确定任何需要 ICU 入院的术后不良事件。由 Cinotti 等人得出的 CranioScore(Anesthesiology 129(6):1111-20, 5)和 Munari 等人的风险评估评分(Acta Neurochir(Wien)164(3):635-641, 15),并通过 ROC 分析评估预后性能。
在我们的队列中,这两种评分的预测性能都较差:CranioScore 的 ROC-AUC 为 0.65,而 Munari 等人的评分的 ROC-AUC 为 0.67。当应用 ICU 入院推荐的决策阈值时,64%和 68%的患者将被归类为需要 ICU 监测,两种评分的阴性预测值(NPV)均为 91%。为了提高患者安全性而降低阈值,即 NPV 为 95%,则 ICU 入院率将超过 85%。
在我们的队列中,这两种评分的表现都有限。在实践中,两种评分都不会显著降低 ICU 入院率,而在神经外科病房发生并发症的患者数量将会增加。未来需要更好的风险评估措施。