Objective To analyze the effect of flow cytometry on detection of peripheral blood lymphocyte subsets in patients with acute myeloid leukemia.Methods A total of 108 patients with acute myeloid leukemia were selected as leukemia group,and 108 healthy people were selected as control group.MultiSE lymphocyte subsets regents and flow cytometer (CD45/SSC,America) were used to detect 10 000 cells,and FACS Diva software was used to analyze the cellular immunophenotype and expression intensity.Results In the leukemia patients,the CD3,CD4,CD4 +/CD8 +,CD16 +/CD56 + were significandy lower than normal people,while CD8 +,CD19 + were significantly higher (P ＜ 0.05).Expression of antihelion of cell CD33,CD38 and Cyt-MPO were high,respectively accounting for 72.5％,70.4％ and 67.5％,and followed by CD15,CD64,which accounting for 38％ and 32.5％ respectively.High expressions of CD33,CD64 and Cyt-MPO all showed positive correlations (P ＜ 0.05),but was not related with expression of CD15 (P ＞ 0.05).Conclusion Flow cytometric analysis of peripheral blood lymphocyte subsets in patients with acute myeloid leukemia can provide a clear understanding of the change of lymphocyte subsets.

Objective To analyze the effect of flow cytometry on detection of peripheral blood lymphocyte subsets in patients with acute myeloid leukemia.Methods A total of 108 patients with acute myeloid leukemia were selected as leukemia group,and 108 healthy people were selected as control group.MultiSE lymphocyte subsets regents and flow cytometer (CD45/SSC,America) were used to detect 10 000 cells,and FACS Diva software was used to analyze the cellular immunophenotype and expression intensity.Results In the leukemia patients,the CD3,CD4,CD4 +/CD8 +,CD16 +/CD56 + were significandy lower than normal people,while CD8 +,CD19 + were significantly higher (P ＜ 0.05).Expression of antihelion of cell CD33,CD38 and Cyt-MPO were high,respectively accounting for 72.5％,70.4％ and 67.5％,and followed by CD15,CD64,which accounting for 38％ and 32.5％ respectively.High expressions of CD33,CD64 and Cyt-MPO all showed positive correlations (P ＜ 0.05),but was not related with expression of CD15 (P ＞ 0.05).Conclusion Flow cytometric analysis of peripheral blood lymphocyte subsets in patients with acute myeloid leukemia can provide a clear understanding of the change of lymphocyte subsets.

The case was a 48-year-old male blood donor with type A and Rh (D) positive. During clinical cross matching, it was found that, as a donor, the forward cross-match with several ABO-compatible patients yielded negative results. However, on the reverse side, his plasma agglutinated all recipients′ red blood cells and caused severe hemolysis (4+H). As a recipient, the results were opposite. Further, irregular antibody screening and monospecific antibody identification were carried out for the sample plasma using the saline tube method and the anti-human globulin microcolumn gel method. The results showed that the plasma reacted positively (4+H) with screening cells 1 to 3 and panel cells 1 to 10, but had no reaction with human-derived p red blood cells. There were anti-P1P kP antibodies (IgG+IgM) in plasma with a titer of 1∶64. The detection result of red blood cell P1 antigen against monoclonal anti-P1 antibody was negative, indicating a p phenotype. Using the Sanger method for sequencing the exons of PA (α1, 4-galactosyltransferase, A4GALT) and PB (β1, 3-galactosyltransferase, B3GALNT), it was found that the P1PkP blood group genotype was A4GALT*241-243TTCdel/A4GALT*241-243TTCdel, and B3GALNT did not show any mutation. The homozygous deletion mutation of TTC at position 241-243 in the A4GALT gene is a novel molecular biological feature, and the sequence accession number OR900206 was assigned by the National Center for Biotechnology Information GenBank. A retrospective analysis of relevant literature reports revealed that gene mutations in the p phenotype exhibited complex polymorphisms. In clinical transfusion practice, the presence of highly effective anti-P1P kP antibodies (IgG+IgM) in his plasma that can destroy all non-p type red blood cells and cause acute hemolytic transfusion reactions, indicates that this donor′s blood cannot be administered to any non-p phenotype individuals. After thorough washing, red blood cells can be transfused to any ABO and Rh (D) compatible (or AB type) recipients. As a recipient, only p phenotype red blood cells with the same type of ABO or type of O can be received.

Objective To analyze the correlation between the drug resistance rate of common pathogens in blood culture of inpatients from the First Hospital Affiliated to Hebei North University from 2019 to 2021 and the frequency of antimicrobial drug use (DDDs). Methods Strains isolated from positive blood cultures of inpatients from 2019 to 2021 were collected, and data on antimicrobial drug use in patients with positive blood cultures during the same period were also collected. WHONET 5.6 software and Pearson correlation analysis were used to explore the correlation between pathogenic bacterial resistance rate and antimicrobial DDDs. Results A total of 916 samples tested positive in blood cultures from 2019 to 2021. Among the top antimicrobial drugs in DDDs, the DDDs of cefazolin, cefuroxime, and ceftazidime all showed an upward trend year by year (the increase from 2019 to 2021 was 38.8%, 228.3%, and 87.1%, respectively). A total of 739 pathogenic bacteria strains were isolated from positive blood culture samples from 2019 to 2021, and the top five pathogenic bacteria were Escherichia coli, Klebsiella pneumoniae, Staphylococcus epidermidis, Staphylococcus aureus, and Pseudomonas aeruginosa, accounting for 37.2%, 16.1%, 8.1%, 7.4%, and 6.5%, respectively. The drug resistance rates of Escherichia coli to cefazolin, ceftazidime, cefotaxime, and polymyxin B were positively correlated with their DDDs (r=0.961, 0.907, 0.988, 0.997, P < 0.05). The drug resistance rates of Klebsiella pneumoniae to piperacillin, cefazolin, cefotaxime, cefepime, aztreonam, imipenem, meropenem, levofloxacin, and polymyxin B were positively correlated with their DDDs (r=0.766, 0.772, 0.838, 0.667, 0.734, 0.821, 0.904, 0.980, 0.997, P < 0.05). The drug resistance rate of Pseudomonas aeruginosa to gentamicin was positively correlated with their DDDs (r=0.878, P < 0.05). The drug resistance rate of Acinetobacter baumannii to moxifloxacin was positively correlated with its DDDs (r=0.856, P < 0.05). However, there was no correlation between the drug resistance rates of Staphylococcus aureus and Staphylococcus epidermidis to most commonly used antimicrobial drugs and antimicrobial DDDs (P>0.05). Conclusion The pathogenic bacteria causing bloodstream infections in inpatients at the First Hospital Affiliated to Hebei North University from 2019 to 2021 are complex and diverse (mainly Gram-negative bacteria). The overall drug resistance rate of pathogenic bacteria shows an upward trend, and there is a correlation between the drug resistance rates of most pathogenic bacteria and antimicrobial DDDs.

Background::Studies that comprehensively address the characteristics of centenarian deaths are rare. The present study aimed to depict the characteristics of centenarian deaths in China and their changing trends.Methods::Data on centenarian deaths between 2013 and 2020 were obtained from the national mortality surveillance system of China, including date, place of death (PoD), and underlying cause of death (CoD). Descriptive analyses were performed to understand the epidemiological characteristics, and a joinpoint regression model was adopted to examine the changing trends in the proportions of different PoDs, CoDs among centenarians, and centenarian deaths accounting for all deaths and deaths among people aged 65 years and older.Results::There were 46,938 registered centenarian deaths between 2013 and 2020 that included 34,311 females (73.10%) and 12,627 males (26.90%). January (12.05%), February (9.99%), and December (9.74%) were the top three months with the highest number of deaths. The proportions of deaths that occurred in homes, hospitals, and nursing homes were 81.71%, 13.63%, and 2.68%, respectively. The proportion of deaths in nursing homes increased by 9.60% (95% confidence intervals [CIs], 6.4-12.9%) from 2014 to 2020. Heart disease (35.72%) was the leading cause of death, followed by respiratory diseases (17.63%), cerebrovascular disease (15.60%), and old age (11.22%). The proportion of respiratory diseases decreased by 4.8% (95% CI, -8.8 to -0.7%), and the proportion of deaths from old age decreased by 2.3 % (95% CI, -4.4 to -0.1%) per year. Shanghai had the highest proportions of deaths in hospitals (39.38%) and nursing homes (14.68%). Sichuan had the highest proportion of deaths attributed to respiratory diseases (32.30%), while Jiangsu (26.58%) and Zhejiang (23.61%) had the highest proportions of deaths from old age.Conclusion::Unlike other countries, centenarian deaths in China are characterized by a higher proportion of home and heart disease deaths, and this death pattern differs across provinces.

Objective:Healthy life expectancy (HLE), which combines life expectancy with health, is an essential comprehensive measure of life length and quality. This article aimed to systematically review the methods for defining and measuring HLE and describe application studies published, providing a reference for decision makers to select and develop methods suitable for China's conditions to measure HLE.Methods:Seven Chinese and English literature databases were searched up to May 7, 2022, and several related reviews and bibliography were manually retrieved. Systematic reviews and empirical research were included concerning HLE indicators and measurement of HLE. Information including the study area, type of the study, study population, HLE index, measurement method, data sources, and results from application studies published in the last five years were extracted. The evolution of the definition of HLE, the scope of different indicators, the measurement scale of health, and measurement methods, were all collected. Results of the empirical research related to measurement methods of indicators were summarized. The study followed the scoping review framework and was written according to the PRISMA-ScR statement.Results:A total of 84 articles were included, including 13 reviews, 17 original studies related to HLE index definition, ten original studies related to index measurement, and 44 empirical studies conducted in the past five years. There were as many as 20 indicators related to HLE, and each scale had its emphasis. A total of ten methods measuring HLE were identified, which vary in the definition of health, whether using weight, and the data type. The most commonly used indicators in the past five years were disability-free life expectancy and HLE. For the method of HLE calculation, Sullivan's method was mainly used for cross-sectional data, and the multistate life table was mainly used for longitudinal data.Conclusions:There are various definitions and measurement methods of HLE, but none are suitable for all scenarios. To summarize the HLE concept, health evaluation techniques, measurement methods, and application studies published worldwide can provide a reference for the localization of HLE measurement in China.

Gene-environment interactions underlie cancer susceptibility and progression. The human body is exposed to and affected by the microenvironment seiscasts of various microorganisms and their metabolites, such as the microenvironment of gut microbiota. The relative abundance of some intestinal microbes in lung cancer patients was significantly different from that in the control group. These studies suggest that gut microbiota may be associated with lung cancer through some ways. At the same time, gut microbiota is relatively manageable environmental variables compared to the external environment we are exposed to, as they are highly quantifiable and relatively stable in the individual. Just as some measures of diagnosis, intervention and treatment of lung cancer targeting gut microbiota have achieved some results in clinical practice. In this review, we mainly discuss the role of gut microbiota and its metabolites in the progression and treatment of lung cancer through certain ways, such as regulation of metabolism, inflammation, and immune response. Finally, based on current research progress, it is inferred that research on gut microbiota may be an effective approach to the precise and personalized medical treatment of lung cancer.
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Objective To analyze the death attributable to smoking and impact of life expectancy in China in 2013.Methods According to the characteristics of different diseases,we calculated the population attributable fractions of different diseases,death and impact of life expectancy which caused by smoking,using direct method (current smoking rate as exposure levels)and indirect method (smoking impact ratio as exposure levels),based on data from both programs of death surveillance and Chinese chronic disease risk factor surveillance of 2013.Results In 2013,smoking caused around 1.59 million deaths which accounted for 17.38％ of all deaths in China.Constituent ratio of death caused by smoking in males (23.66％) was much higher than that in females (8.30％).However,in urban areas (17.24％),it was slightly lower than that in rural areas (17.51％).Constituent ratio of death caused by smoking in the eastern regions appeared the lowest (16.81％),with western regions the highest (17.91％).In 2013,lung cancer,COPD and ischemia heart disease were the top three diseases causing deaths that related to smoking,but the top three population attributable fractions were lung cancer,COPD and nasopharyngeal carcinoma in China.In 2013,smoking caused a reduction of 2.04 years of life expectancy loss in China,with males in the western regions the highest (3.05 years).Conclusion Smoking is still an important public health problem in China.Tobacco-control-targeted programs in the heavily involved areas could reduce the number of deaths from related diseases that caused by smoking.

Objective To estimate the deaths (mortality) and life expectancy that attributable to high blood pressure in people from different regions and gender,in China in 2013.Methods Data was from the ‘China Chronic Disease Risk Factor Surveillance 2013'and the ‘China National Mortality Surveillance 2013'.According to the comparative risk assessment theory,population attributable fraction (PAF) of high blood pressure by gender,urban-rural,east-central-west regions was calculated before the estimations on deaths (mortality) and life expectancy attributable to high blood pressure was made.Results In 2013,among the Chinese people aged 25 years old and above,the mean SBP was (129.48 ± 20.27) mmHg.High blood pressure [SBP＞(115 ± 6) mmHg] caused 20.879 million deaths and accounted for 22.78％ of the total deaths.SBP,deaths,mortality rate and standardized mortality rate that attributable to high blood pressure all appeared higher in men [(131.15 ± 18.73) mmHg,11.517 million,165.56/100 000 and 106.97/100 000,respectively] than in women [(127.79 ± 21.60) mmHg,9.362 million,141.99/100 000 and 68.93/100 000,respectively].SBP,deaths,mortality rate and PAF were all seen higher in rural [(130.25±20.66) mmHg,11.234 million,178.58/100 000 and 23.59％,respectively] than in urban [(128.58± 19.77) mmHg,9.645 million,132.87/100 000 and 21.54％,respectively] areas.However,levels of SBP were similar in the east,central or west regions,with attributable deaths,attributable mortality rate and PAF the highest as 7.658 million 179.93/100 000,and 26.72％ respectively.In 2013,among the Chinese people aged 25 years old and above,deaths caused by cardiovascular disease and chronic kidney disease attributable to high blood pressure were 19.912 million and 0.966 million,accounting for 52.31％ of the total deaths due to cardiovascular diseases and 62.11％ to the total chronic kidney diseases.The top three deaths attributable to high blood pressure were ischemic heart disease (6.656 million),hemorrhagic stroke (5.331 million) and ischemic stroke (3.593 million).When the effect of high blood pressure had been eliminated,the life expectancy per capita would have increased by 2.86 years old,with higher in women than in men (3.07 and 2.64 years old,respectively),higher in central than in east and west (3.48,2.56 and 2.58 years,respectively) areas,in rural than in urban (2.97 and 2.59 years,respectively) areas.Conclusions In 2013,the number of deaths attributable to high blood pressure was around 20.9 million,accounting for 22.78％ of the total deaths,and appeared higher in men than in women,in rural than in urban,in central than in east and west areas.The mortality burden induced by ischemic heart disease,hemorrhagic stroke and ischemic stroke was most serious since the high blood pressure brought about 2.86 years of lost in life expectancy.