Objective. To investigate the changes of intestinal flora in elderly patients with Alzheimer’s disease and liver cancer and its correlation with abnormal gastrointestinal motility. Methods. From January 2018 to December 2020, 102 elderly patients with Alzheimer’s disease and liver cancer were selected as the observation group. Eighty-nine healthy patients during the same period were selected as the control group. The two groups of intestinal flora (intestinal microbial diversity) were detected by real-time fluorescent quantitative PCR (RT-qPCR) and high-throughput sequencing. The two groups of serum motilin (MTL) and gastrin (GAS) levels were measured by the Hitachi automatic biochemical analyzer 7600. Pearson correlation analysis software was used to analyze the relationship between changes in the intestinal flora and gastrointestinal motility in elderly patients with Alzheimer’s disease and liver cancer. Results. The contents of Bifidobacteria and Lactobacilli in the observation group were lower than those in the control group, and the contents of Escherichia coli, Helicobacter pylori, and Streptococcus were higher than those in the control group. The Chaol index and Shannon index in the observation group were higher than those in the control group. The gastrointestinal motility levels MTL and GAS of the observation group were higher than those of the control group. The results of Pearson correlation analysis showed that the Chaol index and Shannon index of elderly patients with Alzheimer’s disease and liver cancer were positively correlated with MTL and GAS. Conclusion. Elderly patients with Alzheimer’s disease and liver cancer often have changes in the intestinal flora, which are correlated with abnormal gastrointestinal motility. Strengthening the analysis of changes in patients’ intestinal flora can enhance clinical medication knowledge and improve gastrointestinal motility in patients.

This study is aimed at exploring the diagnostic value of advanced glycation end products (AGEs) and homocysteine (Hcy) in Alzheimer’s disease (AD) complicated with sarcopenia (SP) and to analyze the risk factors related to AD complicated with SP. A total of 168 patients admitted to our hospital from November 2019 to December 2021 were enrolled. Patients were divided into the NC (no SP and AD) group with 29 cases, the AD group with 39 cases, the AD+SP group with 35 cases, and the SP group with 65 cases. The general information, Mini-Mental State Examination (MMSE) scores, and serum levels of AGEs and Hcy among the four groups were compared. Unordered logistic regression was used to analyze the influencing factors of SP patients complicated with dementia. The AGE level was higher in the AD or AD+SP group than the NC or SP group ( P < 0.05 ). There was no significant difference between the SP group and the NC group or between the AD group and the AD+SP group ( P > 0.05 ). The Hcy level was higher in the SP or AD group than the NC group ( P < 0.05 ). There were no significant differences between the AD group and NC group or between the SP group and AD+SP group ( P > 0.05 ). The ROC curve of serum AGEs and Hcy for the diagnosis of AD showed that the area under curve (AUC) was 0.887, P < 0.05 (95% CI: 0.821-0.954, sensitivity: 80.95%, specificity: 73.81%) and 0.7423, P < 0.05 (95% CI: 0.6382-0.8465, sensitivity: 60.42%, specificity: 57.59%), respectively. The ROC curve of serum AGEs and Hcy for the diagnosis of SP showed that the AUC was 0.5533, P > 0.05 (95% CI: 0.4294-0.6771) and 0.8744, P < 0.05 (95% CI: 0.8006-0.9483). Age ( P < 0.001 ), depression ( P = 0.001 ), malnutrition ( P = 0.002 ), and BMI ( P < 0.001 ) were independent influencing factors of SP complicated with AD in elderly inpatients. In conclusion, combined serum AGEs and Hcy had a good diagnostic value for AD combined with SP, which may be helpful for early detection of patient condition.