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Objective To investigate the correlation of glucose and blood lipid metabolism in elderly patients with Helicobacter pylori (Hp) infection complicated with metabolic syndrome (MS), and to provide theoretical basis for clinical diagnosis and treatment of MS patients. Methods A total of 176 elderly MS patients treated in our hospital from February 2020 to February 2021 were selected. Uremic [13C] tablet breath test kit was used to determine Hp infection. According to Hp infection, they were divided into Hp positive group (n=59) and Hp negative group (n=117). Glucose metabolism indexes (FBG, 2hPG, HbA1c, FINS) and serum lipid metabolism indexes (TC, HDL-C, LDL-C) were determined in all subjects. Risk factors of Hp infection in MS patients were analyzed by multivariate logistic regression. Pearson correlation analysis was conducted between sreum LDL-C, HbA1c and FINS levels and DOB value in MS patients. Results The levels of FBG, 2hPG, HbA1c, FINS and LDL-C in Hp positive group were significantly higher than those in Hp negative group (P0.05). It showed that LDL-C, HbA1c and FINS were independent risk factors for Hp infection in MS patients (P<0.05). Pearson correlation analysis showed that There was a positive correlation between DOB and LDL-C, HbA1c and FINS levels in MS patients (r=0.475,0.512,0.459,P<0.05). Conclusion Hp infection can affect glucose and lipid metabolism in elderly MS patients, and there is a close relationship between Hp infection and ldL-C, HbA1c and FINS levels in elderly MS patients.
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Objective To analyze and discuss the epidemiological characteristics of HBV infection in people with hepatitis B virus (HBV) surface antigen (HBsAg) positive in Deyang Area. Methods The health checkup information of the region in 2020 was selected to screen the subjects with the results of HBV serological markers, and 1645 HBsAg-positive patients were selected as the main subjects to analyze the epidemiological characteristics of the population. Use Epidata to enter data, and use SPSS statistical software package to analyze the data. Results Except for the differences in occupational distribution between the sexes, the differences in age, education level, family history, and vaccination history (hepatitis B vaccine) were not statistically significant among men and women in this study. Among the 1645 HBsAg-positive subjects, 41 were double-positive for anti-HBs at the same time, and the double-positive rate was 2.49%. Compared with HBs-negative people, HBs-positive people have a relatively higher proportion of males, junior high school education level, occupation as a farmer, unvaccinated, and positive family history. AmpliPrep/COBAS quantitative detection reagent was used for HBV DNA viral load detection, 92.69% were quantitatively positive (38 cases), of which 23 cases (60.53%) with HBV DNA 20 IU/mL). The epidemiological characteristics of the double-positive population suggest that the proportion of males, junior high school education level, occupation as a farmer, unvaccinated and positive family history is relatively higher. Analyzing the potential influencing factors of anti-HBs positive (double positive) in HBsAg-positive people, it can be seen that the increase in age, the occupation is a farmer, the first injection of hepatitis B vaccine is not in time, and the family history of liver disease is positive as potential risk factors for the occurrence of double positive. Conclusion In the future, this region should pay special attention to farmers who are older, have a family history of liver disease, and lack or incomplete hepatitis B vaccination for hepatitis B prevention and control.
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Objective:To investigate the influencing factors for major adverse cardiovascular events(MACE)in older patients with preserved ejection fraction(HFpEF)or with mid-range ejection fraction(HFmrEF)heart failure in the vulnerable phase.Methods:Data for 312 patients with preserved or mid-range ejection fraction heart failure hospitalized at the Department of Geriatrics, General Hospital of Tianjin Medical University from January 2017 to October 2019 were retrospectively collected, and 17 patients were lost to follow-up.A total of 295 elderly patients with preserved or mid-range ejection fraction heart failure were included in this study.According to whether major cardiovascular events occurred in the vulnerable phase(90 d after discharge), patients were divided into a MACE group(n=87)and anon-MACE group(n=208). Baseline data between the two groups were compared.Univariate logistic regression analysis wasused to determine risk factors for patients in the vulnerable phase, and COX regression analysis and Kaplan-Meier survival analysis were conducted to evaluate the influence of resting heart rate and hematocrit on MACE in the vulnerable phase.The predictive value of resting heart rate and hematocrit in MACE was analyzed by the ROC curve.Results:The resting heart rate at discharge in the MACE group was(78.6±6.9)bpm, higher than(71.1±8.4)bpm in the non-MACE group( t=7.30, P<0.01), whereas hematocrit was(32.3±3.6)%in the MACE group, lower than(36.6±4.9)% in the non-MACE group( t=-8.22, P<0.01). Resting heart rate and hematocrit were risk factors for MACE in elderly patients with HFpEF or HFmrEF in the vulnerable phase.Multivariate Cox regression analysis showed that HR was 1.11 for resting heart rate(95% CI: 1.07-1.14, P<0.001)and 0.91 for hematocrit(95% CI: 0.83-0.99, P=0.034). The survival times of patients with low and high resting heart rate were(86.5±1.2)d and(57.9±3.2)d, respectively.The survival rate of the high resting heart rate group(87.3%, 89/102)was lower than that of the low resting heart rate group(98.4%, 190/193)( χ2=116.30, P<0.01). The survival times of patients with high and low hematocrit values were(84.6±1.7)d and(67.0±2.4)d, respectively.The survival rate of the low hematocrit group(91.9%, 148/161)was lower than that of the high hematocrit group(97.8%, 131/134)( χ2=40.32, P<0.01). ROC curve analysis revealed that the cut-off values for resting heart rate and hematocrit were 73.5 bpm and 35.4%, respectively.The area under the ROC curve(0.919, 95% CI: 0.882-0.947, P<0.05)for the diagnosis of MACE using the combination of both parameters was significantly larger than that using resting heart rate(0.885, 95% CI: 0.843-0.919, P<0.05)or hematocrit(0.747, 95% CI: 0.694-0.796, P<0.05)alone. Conclusions:Resting heart rate and hematocrit are the main influencing factors for MACE in elderly patients with HFpEF or HFmrEF in the vulnerable phase.