Occurrence of hypopituitarism after severe craniocerebral trauma and its predictors
10.3760/cma.j.cn.115807-20220920-00255
- VernacularTitle:重度颅脑创伤后垂体功能减退及其预测因子的探讨
- Author:
Jie FENG
1
;
Guilong FENG
;
Jiali ZHANG
;
Zhihua ZHANG
Author Information
1. 山西医科大学第一医院急诊科，太原 030001
- Keywords:
Traumatic brain injury;
Hypopituitarism;
Increased intracranial pressure;
Skull base fracture;
Cerebral edema
- From:
Chinese Journal of Endocrine Surgery
2023;17(1):68-73
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the occurrence and predictors of hypopituitarism after traumatic brain injury (TBI) .Methods:A prospective study was conducted on 185 patients with severe TBI in the Emergency Department of the First Hospital of Shanxi Medical University from Jan. 2020 to May. 2022, of whom 108 were male and 77 were female; age ranged from 18 to 79 years, mean (51.32±9.34) years. Pituitary function was assessed within 3-7 d after the onset of TBI, and the occurrence of hypopituitarism after severe TBI was counted. 41 cases in the hypopituitarism group, 26 males and 15 females, aged (52.76±9.83) years, were divided into the hypopituitarism group (hypopituitarism occurred) and the non-hypopituitarism group (hypopituitarism did not occur) according to whether hypopituitarism occurred. In the non-decompensated group, there were 144 cases, 82 males and 62 females, aged (50.91±9.27) years. The clinical data of the decompensated and non-decompensated groups were compared, and the factors influencing the occurrence of hypopituitarism were analysed, and a logistic prediction model was constructed based on the relevant influencing factors. The value of this model in predicting the occurrence of hypopituitarism after severe TBI was evaluated by using the receiver operating characteristic (ROC) curve.Results:The prevalence of hypopituitarism in the 185 patients with severe TBI in this study was 22.16%; the Glasgow coma scale (GCS) score on admission was lower in the decompensated group than in the non-decompensated group [ (6.36±1.04) vs (7.48±0.59) ], the percentage of hyperbaric oxygen therapy was lower than in the non-decompensated group (21.95% vs 49.31%) , the percentage of intracranial pressure (82.93% vs 49.31%) , midline displacement ≥5 mm (78.05% vs 29.86%) , skull base fracture (34.15% vs. 17.36%) , diffuse cerebral edema (19.51% vs 4.17%) , and serum brain derived neurophic factor (BDNF) . Brain derived neurophic factor (BDNF) was higher than that in the non-reduced group [ (6.35±1.29) ng/ml vs (4.51±1.06) ng/ml], and neuronal-specific enolase (NSE) was higher than that in the non-reduced group [ (33.06±5.42) μg/L vs (23.15±4.97) μg/L]. (4.97) μg/L]. Vascular epithelial growth factor (VEGF) was higher than that in the non-reduced group [ (312.07±24.35) pg/ml vs (226.80±20.96) pg/ml], tumor necrosis factor-α (TNF-α) was higher than that in the non-reduced group [ (281.24±38.91) ng/L vs (186.91) pg/ml], and tumor necrosis factor-α (TNF-α) was higher than that in the non-reduced group (186.55±35.72) ng/L (all P<0.05) . Increased intracranial pressure, midline displacement ≥5 mm, diffuse cerebral edema, serum BDNF, NSE, VEGF, and TNF-α levels were all independent risk factors for the development of hypopituitarism after severe TBI, with admission GCS score and hyperbaric oxygen therapy as protective factors ( P<0.05) ; a logistic prediction model was constructed based on the influencing factors as: Logit ( P) = 5.264-0.880×admission GCS score + 1.618×increased intracranial pressure + 1.941×midline displacement ≥5 mm + 1.289×diffuse cerebral edema+1.306×BDNF+1.426×NSE+1.781×VEGF+1.615×TNF-α-0.758×hyperbaric oxygen therapy; the model predicted the occurrence of severe TBI after the area under the curve (AUC) of hypopituitarism was 0.930 (95% CI 0.883-0.962) , with a predictive sensitivity and specificity of 90.24% and 89.19%, respectively. Conclusions:The incidence of hypopituitarism is higher after severe TBI. Increased intracranial pressure, midline displacement ≥5 mm, diffuse cerebral edema, serum BDNF, NSE, VEGF and TNF-α levels are all used as predictors of hypopituitarism.
