Risk factors for postoperative secondary hydrocephalus in patients with severe craniocerebral injury and construction of nomogram risk model
-
摘要:目的
探讨重型颅脑损伤患者术后继发性脑积水的危险因素, 并构建列线图预测模型。
方法选取360例重型颅脑损伤患者作为研究对象,并根据术后继发性脑积水发生情况分为脑积水组(n=34)和非脑积水组(n=326)。采用Logistic回归分析法筛选术后继发性脑积水的危险因素。基于筛选出的危险因素构建重型颅脑损伤患者术后继发性脑积水的列线图模型,并验证其预测效能。
结果360例患者中,术后发生继发性脑积水34例,继发性脑积水发生率为9.44%(34/360)。Logistic回归分析结果显示,颅内感染、脑室出血、中线移位程度≥12 mm、术前格拉斯哥昏迷评分法(GCS)评分3~5分、去骨瓣减压、硬膜敞开是重型颅脑损伤患者术后继发性脑积水的独立危险因素(P < 0.05)。基于上述危险因素构建的列线图模型的模型一致性指数为0.874, 曲线下面积为0.831。
结论本研究基于颅内感染、脑室出血、中线移位程度、术前GCS评分、去骨瓣减压及硬膜敞开因素构建的列线图模型,能够有效预测重型颅脑损伤患者术后继发性脑积水的风险,对早期防治具有临床指导意义。
Abstract:ObjectiveTo explore the risk factors for postoperative secondary hydrocephalus in patients with severe craniocerebral injury and construct a nomogram prediction model.
MethodsA total of 360 patients with severe craniocerebral injury were selected as the study subjects, and divided into hydrocephalus group (n=34) and non-hydrocephalus group (n=326) based on the occurrence of postoperative secondary hydrocephalus. Logistic regression analysis was used to screen for risk factors of postoperative secondary hydrocephalus. A nomogram model for predicting postoperative secondary hydrocephalus in patients with severe craniocerebral injury was constructed based on the identified risk factors, and its predictive performance was validated.
ResultsAmong the 360 patients, 34 developed secondary hydrocephalus after surgery, with an incidence rate of 9.44% (34/360). Logistic regression analysis revealed that intracranial infection, ventricular hemorrhage, midline shift ≥12 mm, preoperative Glasgow Coma Scale (GCS) score of 3 to 5, decompressive craniectomy and dura mater opening were independent risk factors for postoperative secondary hydrocephalus in patients with severe traumatic brain injury (P < 0.05). The concordance index of the nomogram model constructed based on these risk factors was 0.874, and the area under the curve was 0.831.
ConclusionThe nomogram model constructed in this study based on factors such as intracranial infection, ventricular hemorrhage, midline shift, preoperative GCS score, decompressive craniectomy and dura mater opening, effectively predicts risk of postoperative secondary hydrocephalus in patients with severe traumatic brain injury. This model has clinical significance for early prevention and treatment.
-
Keywords:
- severe craniocerebral injury /
- hydrocephalus /
- risk factors /
- nomogram /
- intracranial infection
-
-
表 1 脑积水组和非脑积水组临床资料比较(x±s)[n(%)]
临床资料 分类 脑积水组(n=34) 非脑积水组(n=326) t/χ2 P 性别 男 20(58.82) 196(60.12) 0.022 0.883 女 14(41.18) 130(39.88) 年龄/岁 53.24±8.26 54.77±9.13 0.938 0.349 体质量指数/(kg/m2) 22.71±2.02 22.35±2.43 0.834 0.405 居住地 乡村 18(52.94) 169(51.84) 0.015 0.903 城镇 16(47.06) 157(48.16) 吸烟 是 11(32.35) 126(38.65) 0.518 0.472 否 23(67.65) 200(61.35) 饮酒 是 14(41.18) 132(40.49) 0.006 0.938 否 20(58.82) 194(59.41) 致伤原因 交通伤 18(52.94) 152(46.63) 0.493 0.483 坠落伤 16(47.06) 174(53.37) 骨瓣位置 单侧 6(17.65) 62(19.02) 0.038 0.846 双侧 28(82.35) 264(80.98) 开放性颅脑损伤 是 20(58.82) 134(41.10) 3.949 0.047 否 14(41.18) 192(58.90) 颅内感染 是 16(47.06) 76(23.31) 9.125 0.003 否 18(52.94) 250(76.69) 脑室出血 是 22(64.71) 124(38.04) 9.083 0.003 否 12(35.29) 202(61.96) 中线移位程度 ≥12 mm 24(70.59) 140(42.94) 9.486 0.002 < 12 mm 10(29.41) 186(57.06) 术前GCS评分 3~5分 13(38.24) 52(15.95) 10.334 0.001 6~8分 21(61.76) 274(84.05) 平均手术时间 ≥3 h 19(55.88) 177(54.29) 0.031 0.860 < 3 h 15(44.12) 149(45.71) 去骨瓣减压 是 21(61.76) 111(34.05) 10.186 0.001 否 13(38.24) 215(65.95) 腰穿脑脊液置换 是 10(27.41) 52(15.95) 3.913 0.048 否 24(70.59) 274(84.05) 硬膜敞开 是 25(73.53) 148(45.40) 9.760 0.002 否 9(26.47) 178(54.60) GCS: 格拉斯哥昏迷评分法。 表 2 变量赋值方式
变量 赋值方式 术后是否继发性脑积水 未发生=0, 发生=1 开放性颅脑损伤 否=0, 是=1 颅内感染 否=0, 是=1 脑室出血 否=0, 是=1 中线移位程度 < 12 mm=0, ≥12 mm=1 术前GCS评分 6~8分=0, 3~5分=1 去骨瓣减压 否=0, 是=1 腰穿脑脊液置换 否=0, 是=1 硬膜敞开 否=0, 是=1 表 3 重型颅脑损伤患者术后继发性脑积水的危险因素分析
因素 回归系数 标准误 Wald P OR 95%置信区间 下限 上限 颅内感染 1.021 0.408 6.254 0.012 2.777 1.247 6.183 脑室出血 1.156 0.412 7.871 0.005 3.176 1.417 7.119 中线移位程度≥12 mm 1.157 0.426 7.385 0.007 3.180 1.381 7.324 术前GCS评分3~5分 1.254 0.436 8.274 0.004 3.505 1.491 8.239 去骨瓣减压 1.151 0.411 7.842 0.005 3.162 1.413 7.076 硬膜敞开 1.318 0.439 9.033 0.003 3.736 1.582 8.823 常数 -5.552 0.681 66.513 < 0.001 0.004 — — -
[1] 叶俊伟, 施丹娜. 中重度颅脑创伤患者血清STC1 S100B和NETRIN-1的表达及对预后的预测价值[J]. 中国实用神经疾病杂志, 2024, 27(1): 31-36. [2] VANDERVEEN J D. TBI as a risk factor for substance use behaviors: a meta-analysis[J]. Arch Phys Med Rehabil, 2021, 102(6): 1198-1209. doi: 10.1016/j.apmr.2020.10.112
[3] SIPONKOSKI S T, MARTÍNEZ-MOLINA N, KUUSELA L, et al. Music therapy enhances executive functions and prefrontal structural neuroplasticity after traumatic brain injury: evidence from a randomized controlled trial[J]. J Neurotrauma, 2020, 37(4): 618-634. doi: 10.1089/neu.2019.6413
[4] JHA R M, KOCHANEK P M, SIMARD J M. Pathophysiology and treatment of cerebral edema in traumatic brain injury[J]. Neuropharmacology, 2019, 145(Pt B): 230-246.
[5] MISSORI P, PAOLINI S, CURRÁ A. Prevalence of post-traumatic hydrocephalus in moderate to severe head injury[J]. Acta Neurochir, 2023, 165(2): 299-300.
[6] GRITTI P, TOGNI T, FANTI A, et al. Use of automated irrigating drainage system as rescue device for obstructive hydrocephalus in severe traumatic brain injury[J]. J Neurosurg Sci, 2023, 67(5): 664-665.
[7] 江基尧. 颅脑创伤临床救治指南[M]. 2版. 上海: 第二军医大学出版社, 2003: 23-45. [8] 江基尧, 朱诚, 罗其中. 现代颅脑损伤学[M]. 2版. 上海: 第二军医大学出版社, 2004: 121-125. [9] HONEYBUL S, HO K M. Incidence and risk factors for post-traumatic hydrocephalus following decompressive craniectomy for intractable intracranial hypertension and evacuation of mass lesions[J]. J Neurotrauma, 2012, 29(10): 1872-1878. doi: 10.1089/neu.2012.2356
[10] 徐彬. 重型颅脑损伤发生脑积水的相关因素分析[D]. 青岛: 青岛大学, 2018. [11] 向军武, 常静静, 刘宇, 等. 重型颅脑损伤去骨瓣减压术后并发脑积水的危险因素[J]. 中国临床神经外科杂志, 2022, 27(8): 676-677. [12] 越帅, 张亚萌, 张鸿日. 重型颅脑损伤术后脑积水发生的危险因素分析及集束化管理措施分析[J]. 罕少疾病杂志, 2023, 30(9): 13-15. doi: 10.3969/j.issn.1009-3257.2023.09.006 [13] APPELBOOM G, PIAZZA M, ZOLLER S D, et al. Clinical trials in decompressive craniectomy after severe diffuse traumatic brain injury[J]. World Neurosurg, 2013, 80(5): e153-e155. doi: 10.1016/j.wneu.2011.05.013
[14] 强京灵, 闵怀伍. 重型颅脑损伤术后发生脑积水的相关因素分析[J]. 临床急诊杂志, 2018, 19(10): 663-666. [15] WU J, ZHANG H B, LI L, et al. A nomogram for predicting overall survival in patients with low-grade endometrial stromal sarcoma: a population-based analysis[J]. Cancer Commun, 2020, 40(7): 301-312. doi: 10.1002/cac2.12067
[16] LV J, LIU Y Y, JIA Y T, et al. A nomogram model for predicting prognosis of obstructive colorectal cancer[J]. World J Surg Oncol, 2021, 19(1): 337. doi: 10.1186/s12957-021-02445-6
-
期刊类型引用(1)
1. 楚成华, 郭翠英, 邓文龙. 腰椎内固定术后出现反复下腰痛原因分析. 临床医药文献电子杂志. 2018(83): 20 . 百度学术
其他类型引用(0)