Objective:To investigate the prevalence, comorbidity patterns, and associated factors of cardiometabolic multimorbidity (CMM) in China.Methods:From 2012 to 2015, a total of 34 994 residents aged ≥35 years were enrolled using a stratified multistage random sampling method across 31 provinces, autonomous regions, and municipalities in China. Data were collected through questionnaires, covering demographic characteristics, behavioral and lifestyle factors, and self-reported history of cardiometabolic diseases. CMM was defined as the coexistence of two or more cardiometabolic diseases in the same individual. Association rule analysis using the Apriori algorithm from the arules package was employed to identify strong CMM patterns. Multivariable logistic regression was employed to explore factors associated with CMM.Results:The mean age of the participants was 55.6 years. Among them, 15 926 were male (45.51%). The prevalence of cardiometabolic multimorbidity (CMM) was 11.25% (3 937/34 994). A total of 35 distinct CMM combinations (each with a frequency ≥10) were identified. The most prevalent dyad, triad, and tetrad comorbidity patterns were hypertension+hyperlipidemia (1 036 cases), hypertension+hyperlipidemia+diabetes (352 cases), and hypertension+stroke+hyperlipidemia+diabetes (54 cases), respectively. Nine strong CMM patterns were identified using the Apriori association rule algorithm. Multivariable logistic regression analysis showed that older age (≥70 years: OR=17.39,95% CI 13.92-21.71, P<0.01), junior high school education ( OR=1.31, 95% CI 1.17-1.48, P<0.01), senior high school or above education ( OR=1.45, 95% CI 1.27-1.65, P<0.01), retirement ( OR=3.09, 95% CI 2.76-3.46, P<0.01), unemployment or being laid-off ( OR=1.16, 95% CI 1.06-1.28, P<0.01), a family history of cardiometabolic disease ( OR=4.37, 95% CI 4.04-4.72, P<0.01), regular smoking ( OR=1.38, 95% CI 1.24-1.53, P<0.05), and occasional smoking ( OR=1.21, 95% CI 1.00-1.49, P<0.01) were significantly associated with an increased risk of CMM. Conclusion:The prevalence of cardiometabolic multimorbidity in China is relatively high, with the most common comorbidity patterns involving combinations of hypertension and hyperlipidemia, often accompanied by diabetes and stroke. Older age, retirement status, smoking, and a family history of cardiovascular disease are associated with an increased risk of both single and multiple cardiometabolic conditions. Greater attention should be paid to individuals with a single cardiometabolic disorder due to their elevated risk of developing multimorbidity.

Objective:To investigate the prevalence, comorbidity patterns, and associated factors of cardiometabolic multimorbidity (CMM) in China.Methods:From 2012 to 2015, a total of 34 994 residents aged ≥35 years were enrolled using a stratified multistage random sampling method across 31 provinces, autonomous regions, and municipalities in China. Data were collected through questionnaires, covering demographic characteristics, behavioral and lifestyle factors, and self-reported history of cardiometabolic diseases. CMM was defined as the coexistence of two or more cardiometabolic diseases in the same individual. Association rule analysis using the Apriori algorithm from the arules package was employed to identify strong CMM patterns. Multivariable logistic regression was employed to explore factors associated with CMM.Results:The mean age of the participants was 55.6 years. Among them, 15 926 were male (45.51%). The prevalence of cardiometabolic multimorbidity (CMM) was 11.25% (3 937/34 994). A total of 35 distinct CMM combinations (each with a frequency ≥10) were identified. The most prevalent dyad, triad, and tetrad comorbidity patterns were hypertension+hyperlipidemia (1 036 cases), hypertension+hyperlipidemia+diabetes (352 cases), and hypertension+stroke+hyperlipidemia+diabetes (54 cases), respectively. Nine strong CMM patterns were identified using the Apriori association rule algorithm. Multivariable logistic regression analysis showed that older age (≥70 years: OR=17.39,95% CI 13.92-21.71, P<0.01), junior high school education ( OR=1.31, 95% CI 1.17-1.48, P<0.01), senior high school or above education ( OR=1.45, 95% CI 1.27-1.65, P<0.01), retirement ( OR=3.09, 95% CI 2.76-3.46, P<0.01), unemployment or being laid-off ( OR=1.16, 95% CI 1.06-1.28, P<0.01), a family history of cardiometabolic disease ( OR=4.37, 95% CI 4.04-4.72, P<0.01), regular smoking ( OR=1.38, 95% CI 1.24-1.53, P<0.05), and occasional smoking ( OR=1.21, 95% CI 1.00-1.49, P<0.01) were significantly associated with an increased risk of CMM. Conclusion:The prevalence of cardiometabolic multimorbidity in China is relatively high, with the most common comorbidity patterns involving combinations of hypertension and hyperlipidemia, often accompanied by diabetes and stroke. Older age, retirement status, smoking, and a family history of cardiovascular disease are associated with an increased risk of both single and multiple cardiometabolic conditions. Greater attention should be paid to individuals with a single cardiometabolic disorder due to their elevated risk of developing multimorbidity.

Hepatocellular carcinoma (HCC) is a kind of primary liver cancer with a high mortality rate. In China, the incidence ratio in males to females with HCC is 2:1–5:1. The difference in sex hormone pathways between males and females and the interaction between androgen/androgen receptors and HBV can lead to an incidence difference between males and females with HCC. Hence, the androgen/androgen receptor oncogenic pathway in hepatocellular carcinoma has received considerable attention. This review mainly summarizes the recent research progress on the androgen/androgen receptor oncogenic pathway in hepatocellular carcinoma.

Objective:To investigate the expression of programmed death 1 (PD-1)/programmed death ligand 1 (PD-L1) pathway in patients with acute myeloid leukemia (AML) and its relationship with clinical features and prognosis, and to examine its effect on PD-1-positive natural killer (NK) cells against AML cells in vitro.Methods:The bone marrow samples of 65 AML patients and the peripheral blood of 32 AML patients diagnosed in Affiliated Cancer Hospital of Zhengzhou University from July 2019 to December 2020 were prospectively collected, and the peripheral blood of 24 healthy people was taken as healthy control. The expression level of PD-L1 in bone marrow tumor cells and expression level of PD-1 in peripheral blood NK cells were detected by flow cytometry. The correlations of PD-1 expression in bone marrow tumor cells and PD-1 expression in NK cells with the clinicopathological features, curative effect and prognosis of patients were analyzed. Flow cytometry was used to detect the expression level of PD-L1 in AML cell line THP-1 (target cells) and the expression level of PD-L1 in NK cell line NKL (effector cells). THP-1 cells treated with and without 25 μmol/L of PD-L1 inhibitor fraxinellone were used as experimental group and control group, and co-cultured with NKL cells at different effector-to-target ratios. The apoptosis of THP-1 cells and the expression of NKG2D in NKL cells were detected by flow cytometry, the cell proliferation status was detected by CCK-8 and the cell proliferation inhibition rate was calculated; the levels of interferon-γ (IFN-γ) and tumor necrosis factor-α (TNF-α) in the supernatant of co-culture system were detected by enzyme-linked immunosorbent assay (ELISA).Results:The proportion of AML patients with PD-L1-positive expression in bone marrow tumor cells was higher than that in the healthy control group [38.5% (25/65) vs. 8.3% (2/24), P = 0.029]. The proportion of AML patients with PD-1-positive expression in peripheral blood NK cells was higher than that in the healthy control group [40.6% (13/32) vs. 12.5% (3/24), P = 0.035]. There were no statistical differences in sex, age, hemogram, proportion of primordial cells, risk stratification, chromosomal karyotype, gene mutation (except NPM1 gene), fusion gene and French-American-British cooperative group (FAB) typing between patients with PD-L1 positive and negative in bone marrow tumor cells and between patients with PD-1 positive and negative in peripheral blood NK cells (all P > 0.05). In relapsed/refractory patients, the proportion of patients with PD-L1-positive expression in bone marrow tumor cells was higher than that in newly treated patients [58.8% (10/17) vs. 31.2% (15/48), P = 0.045]. There was no significant difference in the proportion of patients with PD-1-positive expression in peripheral blood NK cells between relapsed/refractory patients and newly treated patients [(38.5% (5/13) vs. 42.1% (8/19), P = 0.837]. There was no statistical difference in complete remission (CR) rate between PD-L1 positive and negative patients [69.6% (16/23) vs. 74.3% (26/35), P > 0.05]. There was no statistical difference in CR rate between PD-1 positive and negative patients [66.7% (8/12) vs. 70.6% (12/17), P > 0.05]. There was no statistical difference in recurrence rate after CR between PD-L1 positive and negative patients [12.5% (2/16) vs. 19.2% (5/26), P > 0.05]. There was no statistical difference in recurrence rate after CR between PD-1 positive and negative patients [25.0% (2/8) vs. 16.7% (2/12), P > 0.05]. Flow cytometry showed that the positive rate of PD-1 in NKL cells was (67±6)% and the positive rate of PD-L1 in THP-1 cells was (85±5)%. After co-culture with NKL cells, the apoptotic rate and proliferation inhibition rate of THP-1 cells were higher in the experimental group compared with the control group, the expression of NKG2D on the surface of NKL cells was elevated, and the levels of IFN-γ and TNF-α in the co-culture supernatant were increased. Conclusions:In AML patients, the expression of PD-L1 in bone marrow tumor cells is high, and the expression of PD-1 in peripheral blood NK cells is also high. The expression of PD-L1 in bone marrow tumor cells of relapsed/refractory AML patients is higher than that of newly treated patients. Inhibition of PD-L1 expression in THP-1 cells can enhance the tumor killing activity of NKL cells in vitro. The mechanism may be that inhibition of PD-L1 expression in THP-1 cells up-regulates the expression of NKL cell activated receptor NKG2D and promotes the secretion of IFN- γ and TNF- α.

Statistics plays an important role in medical research， and the selection of appropriate statistical methods is crucial for drawing reliable and valuable conclusions. This paper provides a brief introduction to commonly used statistical analysis methods for medical data， covering descriptive analysis， parametric test， nonparametric test， correlation analysis， regression analysis， and analysis of survival data. It focuses on discussing the assumptions of multiple linear regression， logistic regression and Cox proportional risk regression， as well as how to choose the appropriate statistical methods for analyzing and interpreting medical data based on different research objectives and data types.

Clinical research reports serve as the presentation of scientific research findings and directly reflect the quality of the research. This article describes the writing of different types of clinical research reports， such as observational studies and randomized controlled trial studies， with a particular focus on randomized controlled trials. Each scientific research design has its reporting focus， and the writing of scientific research papers has uniform requirements and a specific writing format. Mastering the proper format of drafting research reports is of practical value and significant importance for conduction high-quality clinical research.

Objective::The purpose of this study was to determine the relationship between remnant-like particle cholesterol (RLP-C) and major adverse cardiovascular events (MACEs) in patients with different levels of proprotein convertase subtilisin/kexin 9 (PCSK9).Methods::From September 2007 to January 2009, 1,859 subjects in Pingguoyuan communities in Beijing were initially screened. After excluding those with bedridden status, mental illness, severe systemic diseases, and missing data, 1,680 subjects were recruited for follow up. All recruited subjects were followed up from February 2013 to September 2013 (181 subjects were lost to follow-up) and from June 2017 to September 2018 (174 subjects were lost to follow up). Finally, 1,325 subjects were included in the study. General demographic characteristics, lifestyle and behaviors, disease history and use of medication was collected. Levels of total cholesterol, triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, fast blood glucose, RLP-C, low-density lipoprotein triglycerides and PCSK9 were measured. The levels of RLP-C (low: RLP-C ≤ 157 mg/L; high: RLP-C > 157 mg/L) and PCSK9 (low: PCSK9 ≤ 135.87 μg/L; high: PCSK9 > 135.87 μg/L) were represented using quartiles. Subjects were categorized into 4 groups according to their RLP-C and PCSK9 levels: Q4, high levels of RLP-C with high levels of PCSK9; Q3, high levels of RLP-C with low levels of PCSK9; Q2, low levels of RLP-C with high levels of PCSK9; and Q1, low levels of RLP-C with low levels of PCSK9. The association of RLP-C with MACEs in subjects with different PCSK9 levels was evaluated.Results::After a median follow-up of 9.5 years, 1,325 subjects were included in the study and a total of 191 MACEs had occurred. The incidence of MACEs was higher in the RLP-C > 157 mg/L group than the RLP-C ≤ 157 mg/L group (18.40% vs. 10.42%). Cox proportional hazards regression model analysis showed that increased RLP-C levels were associated with an increased risk of MACEs (hazard ratio: 1.405; 95% confidence interval: 1.005-1.964; P < 0.005). The incidence of MACEs was higher in the high RLP-C/PCSK9 group vs. the low RLP-C/PCSK9 group (20.68% vs. 8.76%). Cox proportional hazards regression model analysis showed that RLP-C was associated with an increased risk of MACEs in subjects with high PCSK9 levels independent of traditional risk factors (hazard ratio: 1.791; 95% confidence interval: 1.168-2.825; P = 0.001), but not in those with low PCSK9 levels. Conclusions::RLP-C was identified as a risk factor for MACEs, particularly in subjects with high PCSK9 levels. Lowering PCSK9 levels may reduce residual risk in subjects with elevated plasma RLP-C levels.

Objective:To compare the geographical differences and time trends of liver cancer incidence and mortality in different regions around the world so as to predict the future burden of liver cancer.Methods:The incidence and mortality data of liver cancer in different Human Development Index (HDI) countries from 2000 to 2020 were collected from the GLOBOCAN 2020 database. The joinpoint model and annual percent change (APC) were used to analyze the liver cancer global incidence and mortality as well as future epidemic trends from 2000 to 2020.Results:ASMR for male liver cancer was increased from 8.0/100, 000 in 2000 to 7.1/100,000 in 2015 (APC = -0.7, 95% CI: -1.2 ~ -0.3, P = 0.002), while ASMR for female liver cancer was increased from 3.0/100, 000 in 2000 to 2.8/100, 000 in 2015 (APC = -0.5, 95% CI: -0.8 ~ -0.2, P < 0.001). The ratio of male to female ASMR was 2.67:1 in 2000 and 2.51:1 in 2015, indicating a slight narrowing of the difference in mortality between men and women. In 2020, the global ASIR and ASMR for liver cancer were 9.5/100 000 and 8.7/100 000, respectively. Male ASIR and ASMR (14.1/100, 000 and 12.9/100, 000, respectively) were 2 ~ 3 times higher than females (5.2/100, 000 and 4.8/100, 000, respectively). There were significant differences between ASIR and ASMR in different HDI countries and regions ( PASIR = 0.008, PASMR < 0.001), and the distributions of ASMR and ASIR were very similar. New cases and deaths were expected to increase by 58.6% (143,6744) and 60.9% (133, 5 375) in 2040, with the number of cases and deaths increasing by 39,7003 and 37,4208 in Asia, respectively. Conclusion:ASMR due to liver cancer worldwide has had a downward trend between 2000 and 2015. However, the latest epidemiological status and predictions of liver cancer in 2020 indicate that prevention and control will still be a major challenge globally in the next 20 years.

Objective::The purpose of this study was to determine the relationship between remnant-like particle cholesterol (RLP-C) and major adverse cardiovascular events (MACEs) in patients with different levels of proprotein convertase subtilisin/kexin 9 (PCSK9).Methods::From September 2007 to January 2009, 1,859 subjects in Pingguoyuan communities in Beijing were initially screened. After excluding those with bedridden status, mental illness, severe systemic diseases, and missing data, 1,680 subjects were recruited for follow up. All recruited subjects were followed up from February 2013 to September 2013 (181 subjects were lost to follow-up) and from June 2017 to September 2018 (174 subjects were lost to follow up). Finally, 1,325 subjects were included in the study. General demographic characteristics, lifestyle and behaviors, disease history and use of medication was collected. Levels of total cholesterol, triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, fast blood glucose, RLP-C, low-density lipoprotein triglycerides and PCSK9 were measured. The levels of RLP-C (low: RLP-C ≤ 157 mg/L; high: RLP-C > 157 mg/L) and PCSK9 (low: PCSK9 ≤ 135.87 μg/L; high: PCSK9 > 135.87 μg/L) were represented using quartiles. Subjects were categorized into 4 groups according to their RLP-C and PCSK9 levels: Q4, high levels of RLP-C with high levels of PCSK9; Q3, high levels of RLP-C with low levels of PCSK9; Q2, low levels of RLP-C with high levels of PCSK9; and Q1, low levels of RLP-C with low levels of PCSK9. The association of RLP-C with MACEs in subjects with different PCSK9 levels was evaluated.Results::After a median follow-up of 9.5 years, 1,325 subjects were included in the study and a total of 191 MACEs had occurred. The incidence of MACEs was higher in the RLP-C > 157 mg/L group than the RLP-C ≤ 157 mg/L group (18.40% vs. 10.42%). Cox proportional hazards regression model analysis showed that increased RLP-C levels were associated with an increased risk of MACEs (hazard ratio: 1.405; 95% confidence interval: 1.005-1.964; P < 0.005). The incidence of MACEs was higher in the high RLP-C/PCSK9 group vs. the low RLP-C/PCSK9 group (20.68% vs. 8.76%). Cox proportional hazards regression model analysis showed that RLP-C was associated with an increased risk of MACEs in subjects with high PCSK9 levels independent of traditional risk factors (hazard ratio: 1.791; 95% confidence interval: 1.168-2.825; P = 0.001), but not in those with low PCSK9 levels. Conclusions::RLP-C was identified as a risk factor for MACEs, particularly in subjects with high PCSK9 levels. Lowering PCSK9 levels may reduce residual risk in subjects with elevated plasma RLP-C levels.

Corona virus disease 2019 （COVID-19） has led to more than 500 million cases， including 6.19 million deaths. Mutated strains of SARS-CoV-2 （alpha， beta， gamma， delta and omicron） have successively emerged. Currently the omicron variant is gradually replacing the delta variant， driving a surge of cases in most countries including China， posing a great challenge to the prevention and treatment of COVID-19. In the face of the severe pandemic situation， a large number of non-medical volunteers are fighting on the front lines of the war against the pandemic and are vulnerable to exposure due to lack of professional knowledge. This paper introduces the routine skills training of volunteers and emergency response， aiming to provide behavioral guidance for non-medical volunteers in designated isolation facilities.