Partial coagulation and biochemical indexes in patients with Alzheimer’s disease: Charge analysis and its significance
LI Shanshan1, KE Jiangqiong2, SHU Kuangyi1, CHEN Qiao1, ZHOU Lianlian1, ZHOU Yajing1,JIANG Minghua1.
1.Clinical Laboratory Center, the Second Affiliated Hospital of Wenzhou Medical University,Wenzhou 325027, China; 2.Department of Geriatric Medicine, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou 325027, China
LI Shanshan,KE Jiangqiong,SHU Kuangyi, et al. Partial coagulation and biochemical indexes in patients with Alzheimer’s disease: Charge analysis and its significance[J]. JOURNAL OF WEZHOU MEDICAL UNIVERSITY, 2023, 53(6): 482-487.
Abstract：Objective: To explore the useful blood indexes in the diagnosis and treatment of Alzheimer’s disease (AD) by analyzing the levels of some blood coagulation and biochemical indicators in AD. Methods: Of all 148 AD patients admitted to the Second Affiliated Hospital of Wenzhou Medical University from January 2019 to December 2022 were included as AD group, while 100 healthy subjects during the same period were assigned as control group. Blood levels of coagulation factor XII activity (FXII:C), prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time (TT), fibrinogen (FIB), D-dimer (DD), triglyceride (TG),total cholesterol (CHOL), HDL-cholesterol (HDL-C), LDL-cholesterol (LDL-C), glucose (GLU), glycated hemoglobin A1c (HbA1c), lipoprotein (LPA), alkaline phosphatase (ALP) and C-reacitve protein (CRP) were analyzed by STAGO and Siemens detection systems. The cognitive ability was assessed by mini-mental state
examination and Montreal cognitive assessment (MoCA), life ability was assessed by the Barthel index of daily living, and dementia degree was assessed by clinical dementia rating scale (CDR). Independent sample t test or Kruskal-Wallis test were used to compare the differences among all groups. Spearman correlation analysis was used for correlation analysis. Logistic regression analysis was used for regression analysis. Results: The levels of FXII:C and CRP in AD group were significantly higher than those in control group (P<0.01), while the levels of TT, CHOL, HDL, LDL and ALP in AD group were significantly lower than those in control group (P<0.05). Age,education level, ALP, CRP, FIB, DD were positively correlated with the degree of dementia (r=0.357, 0.289, 0.308,0.409, 0.416, 0.290, P<0.01). Regression analysis showed that FXII:C was a independent risk factor for AD (OR=1.102, P<0.01), and TT and CHOL were independent protective factors for AD (OR=0.296, 0.011, P<0.05).MoCA score+FXII:C+CHOL+TT combined screening had the largest AUC (95%CI=0.956-1.000), while MoCA score+FXII:C+CHOL combined screening the maximum sensitivity of 96.2% (AUC=0.963, 95%CI=0.918-1.000). Conclusion: Cognitive assessment combined with FXII:C, CHOL and TT can improve the sensitivity and specificity of AD screening. Reducing the activity of FXII and avoiding low cholesterol level can reduce the prevalence of AD. CRP and FIB can be used to monitor the severity of AD disease.
