OBJECTIVE: To investigate the clinical importance of combined detection of urinary amino acid metabolite --urinary tyrosine (UT) and tumor specific growth factor (TSGF) in the disease observation and curative effect evaluation of acute leukemia（AL）. METHODS: In 87 cases of AL, the UT and TSGF levels were detected by using chemical chromogenic method and continuous monitoring method respectively. The 2 indicators of each treatment group were statistically analyzed and compared with that of 50 healthy control group. RESULTS: In 87 AL patients, the levels of UT and TSGF after treatment were significantly lower than those before treatment (P<0.01). The level of UT in non-remission(NR) group and partial remission(PR) group was significantly higher than that in completely remission(CR) group(P<0.01，P<0.05) and control group (P<0.01, P<0.01), The UT level in NR group was significantly higher than that in PR group (P<0.05), the UT level in CR group was significantly higher than that in control group (P<0.05). The levels of TSGF in NR and PR groups were significantly higher than those in CR and control groups(P<0.01, P<0.01). The level of TSGF in NR group was significantly higher than that in PR group(P<0.05), but no significant difference existed between CR group and control group(P>0.05). CONCLUSION UT and TSGF levels are related with the metabolism of tumor cells in AL patients. UT level can be used to predict the recurrence of patients with CR. The combined dynamical monitoring of these 2 indicators can be used as the indexes for observation of AL status, evaluation of therapeutic efficacy, prediction of prognosis and relapse of AL.
Acute Disease ; Amino Acids ; Antigens, Neoplasm ; Humans ; Leukemia, Myeloid, Acute ; Neoplasm Proteins ; Prognosis ; Recurrence

Objective To explore the risk factors of early neurological deterioration(END)in patients with acute cerebral infarction(ACI)based on the characteristics of computed tomography angiography(CTA)images of head and neck plaques.Methods A total of 218 ACI patients were selected,and according to whether END occurred within 72 h after onset,they were divided into an END group(54 cases)and non END group(164 cases).The clinical data and imaging indicators were compared and analyzed between the two groups.Multivariate logistic regression analysis was used to analyze risk factors,and a nomograph prediction model was constructed and evaluated.Results National Institutes of Health Stroke Scale(NIHSS)score at admission ≥4 points,glycated hemoglobin(HbA1c)≥7.7％,severe or above ipsilateral carotid artery stenosis,and unstable plaque(soft plaque and mixed plaque)were the independent risk factors in END patients(P＜0.05).The result of nomograph prediction model showed that its discrimination,accuracy and effectiveness were better.Conclusion NIHSS score at admission,HbA1c level,ipsilateral carotid artery stenosis degree,and plaque type are all independent influencing factors for the occurrence of END.