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急性自发性蛛网膜下腔出血后 4 天脑利钠肽前体 N 端累积血清水平升高的预测因素。

Predictors of increased cumulative serum levels of the N-terminal prohormone of brain natriuretic peptide 4 days after acute spontaneous subarachnoid hemorrhage.

机构信息

Department of Neuroscience, Section of Neurosurgery, and.

出版信息

J Neurosurg. 2014 Mar;120(3):599-604. doi: 10.3171/2013.8.JNS13625. Epub 2013 Oct 4.

Abstract

OBJECT

The rupture of an intracranial aneurysm is followed by increased intracranial pressure and decreased cerebral blood flow. A major systemic stress reaction follows, presumably to restore cerebral blood flow. However, this reaction can also cause adverse effects, including myocardial abnormalities, which are common and can be serious, and increased levels of natriuretic peptides, especially brain natriuretic peptide (BNP). The association of BNP with fluid and salt balance, vasospasm, brain ischemia, and cardiac injury has been studied but almost exclusively regarding events after admission. Brain natriuretic peptide has also been measured at various time points and analyzed in different ways statistically. The authors approached BNP measurement in a new way; they used the calculated area under the curve (AUC) for the first 4 days to quantitatively measure the BNP load during the first critical part of the disease state. Their rationale was a suspicion that early BNP load is a marker of the severity of the ictus and will influence the subsequent course of the disease by disturbing the fluid and salt balance.

METHODS

The study included 156 patients with acute spontaneous subarachnoid hemorrhage (SAH). Mean patient age was 59.8 ± 11.2 years, and 105 (67%) of the patients were female. An aneurysm was found in 138 patients. A total of 82 aneurysms were treated by endovascular coiling, 50 were treated by surgery, and 6 were untreated. At the time of admission, serum samples were collected for troponin-I analysis and for the N-terminal prohormone of BNP (NT-proBNP); daily thereafter, samples were collected for the NT-proBNP analysis. The cumulative BNP load was calculated as the AUC for NT-proBNP during the first 4 days. The following variables were studied in terms of their influence on the AUC for NT-proBNP: sex, age, World Federation of Neurosurgical Societies grade of SAH, Fisher grade, angiographic result, treatment of aneurysm, clinical neurological deterioration, verified infections, vasospasm treatment, and 6-month outcome.

RESULTS

The AUC for NT-proBNP was larger when variables indicated a more severe SAH. These variables were higher Fisher and World Federation of Neurosurgical Societies grades, high levels of troponin-I at admission, an aneurysm, neurological deficits, and infections. The AUC for NT-proBNP was also larger among women, older patients, and patients with poor outcomes. Linear regression showed that the best predicting model for large AUC for NT-proBNP was the combination of the following: female sex, high levels of troponin-I, an aneurysm, neurological deficits, and advanced age.

CONCLUSIONS

The cumulative BNP load during the first days after SAH can be predicted by variables describing the severity of the disease already known at the time of admission. This information can be used to identify patients at risk for an adverse course of the disease.

摘要

目的

颅内动脉瘤破裂后会导致颅内压升高和脑血流减少。随后会发生主要的全身应激反应,据推测这是为了恢复脑血流。然而,这种反应也可能产生不良影响,包括心肌异常,这是常见且可能严重的,并导致利钠肽水平升高,尤其是脑利钠肽(BNP)。BNP 与液体和盐平衡、血管痉挛、脑缺血和心脏损伤之间的关系已被研究,但几乎都是针对入院后发生的事件。BNP 也在不同时间点进行了测量,并以不同方式进行了统计学分析。作者以一种新的方式研究了 BNP 测量,他们使用前 4 天的曲线下面积(AUC)来定量测量疾病状态的第一个关键阶段的 BNP 负荷。他们的依据是,早期 BNP 负荷可能是中风严重程度的标志物,并通过扰乱液体和盐平衡来影响疾病的后续进程。

方法

本研究纳入了 156 例急性自发性蛛网膜下腔出血(SAH)患者。患者平均年龄为 59.8±11.2 岁,其中 105 例(67%)为女性。138 例患者发现有动脉瘤。82 个动脉瘤采用血管内线圈栓塞治疗,50 个动脉瘤采用手术治疗,6 个动脉瘤未治疗。入院时采集血清样本进行肌钙蛋白 I 分析和脑利钠肽前体(NT-proBNP)分析;此后每天采集 NT-proBNP 分析样本。累积 BNP 负荷计算为前 4 天 NT-proBNP 的 AUC。研究了以下变量对 NT-proBNP AUC 的影响:性别、年龄、世界神经外科学会联合会(World Federation of Neurosurgical Societies,WFNS)SAH 分级、Fisher 分级、血管造影结果、动脉瘤治疗、临床神经功能恶化、确诊感染、血管痉挛治疗以及 6 个月结局。

结果

当变量表明 SAH 更严重时,NT-proBNP 的 AUC 更大。这些变量包括更高的 Fisher 和 WFNS 分级、入院时肌钙蛋白 I 水平升高、存在动脉瘤、神经功能缺损和感染。女性、年龄较大的患者和预后较差的患者的 NT-proBNP AUC 也更大。线性回归显示,预测 NT-proBNP 大 AUC 的最佳预测模型是以下因素的组合:女性、肌钙蛋白 I 水平升高、存在动脉瘤、神经功能缺损和高龄。

结论

SAH 后最初几天的累积 BNP 负荷可以通过入院时已经存在的疾病严重程度的变量来预测。这些信息可用于识别具有不良疾病进程风险的患者。

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