Objective To explore the risk factors of pressure sores in coma patients in department of neurosurgery,and its nursing interventions.Methods A total of 312 patients in department of neurosurgery in our hospital were selected as research objects,and were divided into pressure sore group with 52 cases and non-pressure sore group,with 260 cases according pressure sores condition.Univariate and multivariate linear regression analysis were performed on the factors that might influence the occurrence of pressure ulcers.Results There were statistically significant differences in age,Braden score,body mass index (BMI),bed-ridden time,chronic disease,Glasgow Coma Scale (GCS) score,body temperature and physical activity between the pressure sore group and the non-pressure sore group (P ＜ 0.05).Multivariate Logistic regression analysis showed that age,GCS score,bed-ridden time,activity and Braden score were independent risk factors for pressure sores in coma patients in department of neurosurgery (P ＜ 0.05).Conclusion The incidence of pressure sores in coma patients in department of neurosurgery is high,and influenced by many factors,so preventive nursing measures should be formulated to prevent the incidence of pressure sores.

Objective To explore the risk factors of pressure sores in coma patients in department of neurosurgery,and its nursing interventions.Methods A total of 312 patients in department of neurosurgery in our hospital were selected as research objects,and were divided into pressure sore group with 52 cases and non-pressure sore group,with 260 cases according pressure sores condition.Univariate and multivariate linear regression analysis were performed on the factors that might influence the occurrence of pressure ulcers.Results There were statistically significant differences in age,Braden score,body mass index (BMI),bed-ridden time,chronic disease,Glasgow Coma Scale (GCS) score,body temperature and physical activity between the pressure sore group and the non-pressure sore group (P ＜ 0.05).Multivariate Logistic regression analysis showed that age,GCS score,bed-ridden time,activity and Braden score were independent risk factors for pressure sores in coma patients in department of neurosurgery (P ＜ 0.05).Conclusion The incidence of pressure sores in coma patients in department of neurosurgery is high,and influenced by many factors,so preventive nursing measures should be formulated to prevent the incidence of pressure sores.

Metabolic reprogramming is a common phenomenon in cancer, with aerobic glycolysis being one of its important characteristics. Hypoxia-inducible factor-1α (HIF1Α) is thought to play an important role in aerobic glycolysis. Meanwhile, naringin is a natural flavanone glycoside derived from grapefruits and many other citrus fruits. In this work, we identified glycolytic genes related to HIF1Α by analyzing the colon cancer database. The analysis of extracellular acidification rate and cell function verified the regulatory effects of HIF1Α overexpression on glycolysis, and the proliferation and migration of colon cancer cells. Moreover, naringin was used as an inhibitor of colon cancer cells to illustrate its effect on HIF1Α function. The results showed that the HIF1Α and enolase 2 (ENO2) levels in colon cancer tissues were highly correlated, and their high expression indicated a poor prognosis for colon cancer patients. Mechanistically, HIF1Α directly binds to the DNA promoter region and upregulates the transcription of ENO2; ectopic expression of ENO2 increased aerobic glycolysis in colon cancer cells. Most importantly, we found that the appropriate concentration of naringin inhibited the transcriptional activity of HIF1Α, which in turn decreased aerobic glycolysis in colon cancer cells. Generally, naringin reduces glycolysis in colon cancer cells by reducing the transcriptional activity of HIF1Α and the proliferation and invasion of colon cancer cells. This study helps to elucidate the relationship between colon cancer progression and glucose metabolism, and demonstrates the efficacy of naringin in the treatment of colon cancer.
Glycolysis ; Colonic Neoplasms/metabolism* ; Humans ; Hypoxia-Inducible Factor 1, alpha Subunit/metabolism* ; Phosphopyruvate Hydratase/metabolism* ; Flavanones/pharmacology* ; Cell Line, Tumor ; Databases, Genetic ; Cell Proliferation/drug effects* ; Transfection ; Warburg Effect, Oncologic