Pesquisa Biomédica

Abstrato

Effects of sevoflurane inhalation with different concentrations on the postoperative cognitive functions of elderly patients with diabetes

Chun-Liang Liu, Qi Liu, Xiao-Ying Yang, Jun-Wei Ji, Sheng Peng

Objective: To observe and analyse the effects of sevoflurane inhalation with different concentrations on the postoperative cognitive functions of elderly patients with diabetes.

Methods: Ninety cases of elderly diabetic patients undergoing laparoscopic gastrointestinal surgery were randomly selected in our hospital from January 2015 to September 2016. The patients were randomly divided into a low concentration group (n=45) and a high concentration group (n=45). Patients in the low concentration group inhaled 1.5% sevoflurane while those in the high concentration group inhaled 3% sevoflurane. The cognitive functions, blood glucose, and serum S100β protein levels of patients between the two groups were compared.

Results: Mini-Mental State Examination (MMSE) scores before anesthesia showed no significant difference between the two groups (P>0.05). However, the postoperative MMSE scores in the low concentration group in 6, 24, 48, and 72 h were significantly higher than those in the control group (P<0.05). The blood glucose levels showed no significant difference in the preoperative (1 h), intraoperative (1 h), postoperative (6, 24, 48, and 72 h) times between the two groups (P<0.05). The serum S100β protein levels of patients before anesthesia showed no significant difference between the two groups (P>0.05). The postoperative serum S100β protein levels of patients in the low concentration group in 6, 24, 48, and 72 h were significantly lower than those in the high concentration group (P<0.05).

Conclusion: A low concentration of sevoflurane anesthesia can alleviate the postoperative cognitive functions of elderly diabetic patients and inhibit the level of serum S100β protein. Therefore, the cognitive functions of the patients can rapidly recover.

Isenção de responsabilidade: Este resumo foi traduzido usando ferramentas de inteligência artificial e ainda não foi revisado ou verificado.