Objective:To evaluate the associations of sociodemographic characteristics and lifestyle factors with longevity status in older adults in China.Methods:After excluding those born after 31 st December 1938, a total of 51 870 older adults from the China Kadoorie Biobank (CKB) were included. The attained age was defined according to the survival age or age on 31 st December 2018. According to the attained age, the old persons were categorized into non-longevity (died before age 80 years) and longevity (attained age ≥80 years). The longevity group was further divided into two groups: longevity with death occurring before 2019, and longevity and survival to 2019. The information about socio-demographic characteristics and lifestyles was collected at the 2004-2008 baseline survey. Multinomial logistic regression models were used to analyze the associations between exposure factors and outcomes by taking the non-longevity group as the reference group. Results:A total of 51 870 older adults aged 65-79 years in the baseline survey were included for analysis. During a follow-up for (10.2±3.5) years, 38 841 participants were longevity, and 30 354 participants still survived at the end of 2018. Compared to men, rural populations, non-married individuals, those with an annual household income of less than 10 000 yuan, and those with education levels of primary school or below, the adjusted ORs(95% CI) for longevity and survival to 2019 in women, urban residents, married individuals, those with annual household incomes ≥20 000 yuan, and those with education levels of college or university were 1.68 (1.58-1.78), 1.69 (1.61-1.78), 1.15 (1.10-1.21), 1.44 (1.36-1.53), and 1.32 (1.19-1.48), respectively. The OR (95% CI) for longevity and survival to 2019 was 1.09 (1.08-1.10) for those with an increase of 4 MET-hour/day in total physical activity level. With those who never or almost never smoked, had no alcohol drinking every week, had normal weight (BMI: 18.5-23.9 kg/m 2), and WC <85 cm (man)/<80 cm (woman) as the reference groups, the ORs(95% CI) of longevity and survival to 2019 were 0.64 (0.60-0.69) for those smoking ≥20 cigarettes per day, 1.29 (1.14-1.46) for those with alcohol drinking every week, 1.13 (1.01-1.26) for those with pure alcohol drinking <30 g per day, 0.56 (0.52-0.61) for those being underweight, 1.27 (1.19-1.36) for those being overweight, 1.23 (1.11-1.36) for those with obesity, and 0.86 (0.79-0.93) for those with central obesity. Further stratified analysis by WC was performed. In the older adults with WC <85 cm (man)/<80 cm (woman), the ORs (95% CI) of longevity and survival was 1.80 (1.69-1.92) for those with each 5 kg/m 2 increase in BMI and 1.02 (0.96-1.08) for those with WC ≥85 cm (man)/≥80 cm (woman). There was a statistically significant difference in the association between BMI and longevity between the two WC groups (interaction test P<0.001). Conclusion:This study showed that women, the married, those with higher socioeconomic status and education level, and those with healthy lifestyles were more likely to achieve longevity.

Objective:To describe the distribution of lipoprotein (a) [Lp(a)] levels in non-arteriosclerotic cardiovascular disease (ASCVD) population in China and explore its influencing factors.Methods:This study was based on a nested case-control study in the CKB study measured plasma biomarkers. Lp(a) levels was measured using a polyclonal antibody-based turbidimetric assay certified by the reference laboratory and ≥75.0 nmol/L defined as high Lp(a). Multiple logistic regression model was used to examine the factors related to Lp(a) levels.Results:Among the 5 870 non-ASCVD population included in the analysis, Lp(a) levels showed a right-skewed distribution, with a M ( Q1, Q3) of 17.5 (8.8, 43.5) nmol/L. The multiple logistic regression analysis found that female was associated with high Lp(a) ( OR=1.23, 95% CI: 1.05-1.43). The risk of increased Lp(a) levels in subjects with abdominal obesity was significantly reduced ( OR=0.68, 95% CI: 0.52-0.89). As TC, LDL-C, apolipoprotein A1(Apo A1), and apolipoprotein B(Apo B) levels increased, the risk of high Lp(a) increased, with OR (95% CI) for each elevated group was 2.40 (1.76-3.24), 2.68 (1.36-4.93), 1.29 (1.03-1.61), and 1.65 (1.27-2.13), respectively. The risk of high Lp(a) was reduced in the HDL-C lowering group with an OR (95% CI) of 0.76 (0.61-0.94). In contrast, an increase in TG levels and the ratio of Apo A1/Apo B(Apo A1/B) was negatively correlated with the risk of high Lp(a), with OR (95% CI) of 0.73 (0.60-0.89) for elevated triglyceride group, and OR (95% CI) of 0.60 (0.50-0.72) for the Apo A1/B ratio increase group (linear trend test P≤0.001 except for Apo A1). However, no correlation was found between Lp(a) levels and lifestyle factors such as diet, smoking, and physical activity. Conclusions:Lp(a) levels were associated with sex and abdominal obesity, but less with lifestyle behaviors.

Objective:To examine the associations of BMI and waist circumference (WC) with the risk of chronic kidney disease (CKD) and its subtypes in adults in China.Methods:The data from the China Kadoorie Biobank were used. After excluding those with cancer, coronary heart disease, stroke, or CKD at baseline survey, 480 430 participants were included in this study. Their body height and weight, and WC were measured at baseline survey. Total CKD was defined as diabetic kidney disease (DKD), hypertensive nephropathy (HTN), glomerulonephritis (GN), chronic tubulointerstitial nephritis (CTIN), obstructive nephropathy (ON), CKD due to other causes, and chronic kidney failure. Cox proportional hazards regression model was used to estimate the associations between exposure factors and risks of outcomes.Results:During a follow-up period of (11.8±2.2) years, 5 486 cases of total CKD were identified, including 1 147 cases of DKD, 340 cases of HTN, 1 458 cases of GN, 460 cases of CTIN, 598 cases of ON, 418 cases of CKD due to other causes, and 1 065 cases of chronic kidney failure. After adjusting for socio-demographic factors, lifestyle factors, baseline prevalence of hypertension and diabetes, and WC and compared to participants with normal BMI (18.5-23.9 kg/m 2), the hazard ratios ( HRs) of total CKD for underweight (<18.5 kg/m 2), overweight (24.0-27.9 kg/m 2), and obese (≥28.0 kg/m 2) were 1.42 (95% CI: 1.23-1.63), 1.00 (95% CI: 0.93-1.08) and 0.98 (95% CI: 0.87-1.10), respectively. Stratification analysis by WC showed that BMI was negatively associated with risk for total CKD in non-central obese participants (WC: <85.0 cm in men and <80.0 cm in women) ( HR=0.97, 95% CI: 0.96-0.99), while the association was positive in central obese participants (≥90.0 cm in men and ≥85.0 cm in women) ( HR=1.03, 95% CI: 1.01-1.05). The association between BMI and GN was similar to that of total CKD. BMI was associated with an increased risk for HTN, with a HR of 1.12 (95% CI: 1.06-1.18) per 1.0 kg/m 2 higher BMI. After adjusting for potential confounders and BMI, compared to participants with non-central obesity, the HRs for pre-central obesity (WC: 85.0-89.9 cm in men and 80.0-84.9 in women) and central obesity were 1.26 (95% CI: 1.16-1.36) and 1.32 (95% CI: 1.20-1.45), respectively. With the exception of HTN and CTIN, WC was positively associated with risks for all CKD subtypes. Conclusions:BMI-defined underweight and central obesity were independent risk factors for total CKD, and BMI and WC had different associations with risks for disease subtypes.

Objective:To explore the diagnosis and treatment of HIV infection complicated with acute lymphoblastic leukemia.Methods:The diagnosis and treatment of a patient with HIV infection and ALL who was admitted to Tianjin People's Hospital on February 13, 2021 were retrospectively analyzed, and the experience was summarized and the literature was reviewed.Results:The patient had a history of HIV infection for more than 3 years, and was diagnosed as acute lymphoblastic leukemia, and was treated with VCP (Vindesine 2 mg on days 1, 8, 15, 22, cyclophosphamide 600 mg on days 1-2, 15-16, dexamethasone 9 mg on days 1-14, 5 mg. 15-28 days) and died on the 8th day of chemotherapy. The cause of death was infection.Conclusion:Combined chemotherapy and hematopoietic stem cell transplantation on the basis of highly active antiretroviral therapy can improve the prognosis and survival rate of HIV-infected patients with acute lymphoblastic leukemia.

Objective To explore the predictive value of blood pressure variability for long-term prognosis in elderly hypertension patients with coronary heart disease(CHD).Methods A total of 272 elderly patients with CHD and hypertension admitted to our hospital from January 2015 to January 2018 were enrolled retrospectively,and all of them were followed up for 5 years.Accord-ing to that they had adverse cardiovascular events or not,they were divided into adverse cardio-vascular events group(n=102)and control group(n=170).The differences in clinical features were compared between the two groups.ROC curve was plotted to analyze the value of blood pressure variability at first admission in predicting adverse cardiovascular events in elderly hyper-tension patients with CHD.Multivariate logistic regression analysis was applied to identify the risk factors for adverse cardiovascular events in these patients.Results Compared with the con-trol group,the incidence of diabetes,the proportion of coronary artery stenosis＞75％,and 24-hour SBP variability were significantly higher in the adverse cardiovascular events group(P＜0.05,P＜0.01).The area under curve value of 24-hour SBP variability in predicting adverse cardio-vascular events in elderly patients with CHD and hypertension was 0.777(95％CI:0.720-0.835,P=0.000).24-hour SBP variability ≥11.71 mm Hg(1 mm Hg=0.133 kPa,OR=5.017,95％CI:2.911-8.647,P=0.000),diabetes(OR=2.479,95％CI:1.231-4.993,P=0.011),and coronary artery stenosis＞75％(OR=2.303,95％CI:1.022-5.190,P=0.044)were independent risk factors for adverse cardiovascular events in elderly patients with CHD and hypertension.Conclusion 24-hour SBP variability can be used to predict the occurrence of adverse cardiovascu-lar events in elderly hypertension patients with CHD.

Background::At present, a large number of chronic obstructive pulmonary disease (COPD) patients are undiagnosed in China. Thus, this study aimed to develop a simple prediction model as a screening tool to identify patients at risk for COPD.Methods::The study was based on the data of 22,943 subjects aged 30 to 79 years and enrolled in the second resurvey of China Kadoorie Biobank during 2012 and 2013 in China. We stepwisely selected the predictors using logistic regression model. Then we tested the model validity through P-P graph, area under the receiver operating characteristic curve (AUROC), ten-fold cross validation and an external validation in a sample of 3492 individuals from the Enjoying Breathing Program in China.Results::The final prediction model involved 14 independent variables, including age, sex, location (urban/rural), region, educational background, smoking status, smoking amount (pack-years), years of exposure to air pollution by cooking fuel, family history of COPD, history of tuberculosis, body mass index, shortness of breath, sputum and wheeze. The model showed an area under curve (AUC) of 0.72 (95% confidence interval [CI]: 0.72-0.73) for detecting undiagnosed COPD patients, with the cutoff of predicted probability of COPD=0.22, presenting a sensitivity of 70.13% and a specificity of 62.25%. The AUROC value for screening undiagnosed patients with clinically significant COPD was 0.68 (95% CI: 0.66-0.69). Moreover, the ten-fold cross validation reported an AUC of 0.72 (95% CI: 0.71-0.73), and the external validation presented an AUC of 0.69 (95% CI: 0.68-0.71).Conclusion::This prediction model can serve as a first-stage screening tool for undiagnosed COPD patients in primary care settings.

BACKGROUND: Few studies have assessed the relationship between multimorbidity patterns and mortality risk in the Chinese population. We aimed to identify multimorbidity patterns and examined the associations of multimorbidity patterns and the number of chronic diseases with the risk of mortality among Chinese middle-aged and older adults. METHODS: We used data from the China Kadoorie Biobank and included 512,723 participants aged 30 to 79 years. Multimorbidity was defined as the presence of two or more of the 15 chronic diseases collected by self-report or physical examination at baseline. Multimorbidity patterns were identified using hierarchical cluster analysis. Cox regression was used to estimate the associations of multimorbidity patterns and the number of chronic diseases with all-cause and cause-specific mortality. RESULTS: Overall, 15.8% of participants had multimorbidity. The prevalence of multimorbidity increased with age and was higher in urban than rural participants. Four multimorbidity patterns were identified, including cardiometabolic multimorbidity (diabetes, coronary heart disease, stroke, and hypertension), respiratory multimorbidity (tuberculosis, asthma, and chronic obstructive pulmonary disease), gastrointestinal and hepatorenal multimorbidity (gallstone disease, chronic kidney disease, cirrhosis, peptic ulcer, and cancer), and mental and arthritis multimorbidity (neurasthenia, psychiatric disorder, and rheumatoid arthritis). During a median of 10.8 years of follow-up, 49,371 deaths occurred. Compared with participants without multimorbidity, cardiometabolic multimorbidity (hazard ratios [HR] = 2.20, 95% confidence intervals [CI]: 2.14 - 2.26) and respiratory multimorbidity (HR = 2.13, 95% CI:1.97 - 2.31) demonstrated relatively higher risks of mortality, followed by gastrointestinal and hepatorenal multimorbidity (HR = 1.33, 95% CI:1.22 - 1.46). The mortality risk increased by 36% (HR = 1.36, 95% CI: 1.35 - 1.37) with every additional disease. CONCLUSION Cardiometabolic multimorbidity and respiratory multimorbidity posed the highest threat on mortality risk and deserved particular attention in Chinese adults.
Aged ; Arthritis, Rheumatoid ; Asians ; China/epidemiology* ; Humans ; Hypertension ; Middle Aged ; Multimorbidity

Objective:To evaluate the post-marketing safety and immunogenicity of a 23-valent pneumococcal polysaccharide vaccine (PPV23).Methods:From September 2020 to June 2021, a clinical trial of single-dose PPV23 was conducted in people ≥3 years old in Centers for Disease Control and Prevention of Guizhou, Hunan and Fujian provinces. Blood samples were collects from the subjects before and 30 d after vaccination. ELISA was used to quantitatively detect IgG antibodies against capsular polysaccharides of 23 Streptococcus pneumoniae serotypes in serum samples. The adverse events (AEs) were monitored within 7 d after vaccination. Results:A total of 409 subjects were enrolled and included in safety analysis. Except for one with antibody level inversion, the other 408 participants were included in immunogenicity analysis. The levels of antibodies against the 23 Streptococcus pneumoniae serotypes were all increased after vaccination by an average of 4.24 folds. The two-fold growth rates of the antibodies ranged from 51.72% to 96.81% with a total two-fold growth rate of 78.59%. The overall rate of AEs was 27.14% (111/409). Local AEs were mainly pain, induration, redness and swollen. No serious adverse events related to vaccination occurred. Conclusions:This study preliminarily demonstrated the good immunogenicity and safety of PPV23 vaccine.

Objective:To analyze the associations between sleep status and the risk for kidney stone in Chinese adults.Methods:This study used baseline and long-term follow-up data of China Kadoorie Biobank. After excluding those with self-reporting of diagnosed chronic kidney disease and cancer and those with extreme values of sleep duration at baseline survey, 501 701 participants were included in this study. The information about their sleep status were collected, including insomnia symptoms, daytime sleepiness, nap habit, snoring and sleep duration. The sleep score was constructed based on insomnia symptoms, daytime sleepiness, and sleep duration, ranging from 0 to 3. Cox proportional hazards regression models were used to evaluate the association of sleep status with the risk for kidney stone, including individual sleep factors and combined sleep score.Results:During the follow-up for average (10.7±2.2) years, 12 381 cases of kidney stone were recorded for the first time. Compared with participants without insomnia symptoms, the multivariable-adjusted HR of kidney stone in those with difficulty falling asleep and waking up early were 1.12 (95% CI: 1.06-1.18) and 1.06 (95% CI: 1.00-1.12), respectively. There was no statistically significant association of kidney stone risk with sleeping pill use, daytime sleepiness, nap habit, or snoring. Compared with participants with sleep duration ≥7 hours per day, the HR of kidney stone in those with sleep duration <7 hours per day was 1.13 (95% CI: 1.08-1.18). Compared with participants with sleep score of 3 (highest sleep quality), the HR of kidney stone in those with sleep score of 2, 1, and 0 were 1.08 (95% CI: 1.03-1.13), 1.16 (95% CI: 1.10-1.23), and 1.19 (95% CI: 1.03-1.37), respectively. Conclusion:In China, adults with insomnia symptoms or short sleep duration have increased risk for kidney stone.

Background:It remains unclear about the association of muscle mass, strength, and quality with death in the general Chinese population of diverse economical and geographical backgrounds. The present study aimed to comprehensively examine such associations across different regions in China.Methods:Based on the China Kadoorie Biobank study, the present study included 23,290 participants who were aged 38 to 88 years and had no prevalent cardiovascular diseases or cancer. Muscle mass and grip strength were measured using calibrated instruments. Arm muscle quality was defined as the ratio of grip strength to arm muscle mass. Low muscle mass, grip strength, and arm muscle quality were defined as the sex-specific lowest quintiles of muscle mass index, grip strength, and arm muscle quality, respectively. Cox proportional hazards models yielded hazard ratios (HRs) and 95% confidence intervals (CIs) for risks of all-cause mortality in relation to muscle mass, strength, and quality.Results:During a median follow-up of 3.98 years, 739 participants died. The HR (95% CI) of all-cause mortality risk was 1.28 (1.08-1.51) for low appendicular muscle mass index, 1.38 (1.16-1.62) for low total muscle mass index, 1.68 (1.41-2.00) for low grip strength, and 1.41 (1.20-1.66) for low arm muscle quality in models adjusted for sociodemographic characteristics, lifestyle factors, and medical histories.Conclusion:Low muscle mass, grip strength, and arm muscle quality are all associated with short-term increased risks of mortality, indicating the importance of maintaining normal muscle mass, strength, and quality for general Chinese adults.