Objective:To explore the relationship between blood urea nitrogen (BUN) levels and the risk of all-in-hospital mortality in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) complicated with pneumonia.Methods:This study was a secondary analysis of a multicenter, retrospective cohort study, with data sourced from the DATADRYAD database of five hospitals in Japan (Kameda Hospital, Hyogo Hospital, Awa Hospital, Saiseikai Hospital, and Ichinomiyanishi Hospital). The database included 1 237 cases of AECOPD with pneumonia hospitalized from April 2008 to August 2019, aged≥40 years. After excluding 11 cases with missing BUN level data at admission, a total of 1 226 patients were included in this secondary analysis. BUN level at admission was used as the target independent variable, and all-cause in-hospital mortality during hospitalization was the dependent variable. Risk ratio regression analysis was used to assess the independent correlation between BUN level and the risk of in-hospital mortality due to AECOPD complicated with pneumonia; generalized additive models and smoothing curve fitting methods were applied to explore nonlinear relationships, followed by subgroup analyses to evaluate the consistency of the association across different subgroups and further validate the reliability of the findings.Results:After adjusting for potential confounding factors such as gender and age, BUN levels were positively correlated with the risk of all-cause in-hospital mortality [ OR=1.09(95% CI: 1.01-1.17), P=0.032]. There was a relationship between BUN levels and the risk of all-cause in-hospital mortality, with a turning point at 43.3 mg/dl. The sizes and 95% CI on either side of the turning point were 1.04(0.93-1.16) and 1.08(1.05-1.12), respectively. When BUN>43.3 mg/dl, BUN was correlated with the risk of all-cause in-hospital mortality, with an 8.0% increase in the risk of death for every 1.0 mg/dl increase in BUN ( P<0.05); when BUN<43.3 mg/dl, there was no significant relationship between BUN and the risk of all-cause in-hospital mortality ( P=0.534). Subgroup analysis indicated that in each subgroup of gender, age, source hospital, fever, respiratory, heart rate, crackles in the lungs, change in mental status, corticosteroid therapy, intubation, complete assistance with activities of daily living, medical insurance, and length of hospital stay, the OR value of BUN level had good stability (all OR>1.00) with the risk of all-cause mortality in AECOPD patients with pneumonia. Conclusions:BUN levels are associated with the risk of all-cause in-hospital mortality in patients with AECOPD complicated with pneumonia. When BUN>43.3 mg/dl, BUN levels are positively correlated with the risk of all-cause in-hospital mortality in these patients.

Objective:To explore the relationship between blood urea nitrogen (BUN) levels and the risk of all-in-hospital mortality in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) complicated with pneumonia.Methods:This study was a secondary analysis of a multicenter, retrospective cohort study, with data sourced from the DATADRYAD database of five hospitals in Japan (Kameda Hospital, Hyogo Hospital, Awa Hospital, Saiseikai Hospital, and Ichinomiyanishi Hospital). The database included 1 237 cases of AECOPD with pneumonia hospitalized from April 2008 to August 2019, aged≥40 years. After excluding 11 cases with missing BUN level data at admission, a total of 1 226 patients were included in this secondary analysis. BUN level at admission was used as the target independent variable, and all-cause in-hospital mortality during hospitalization was the dependent variable. Risk ratio regression analysis was used to assess the independent correlation between BUN level and the risk of in-hospital mortality due to AECOPD complicated with pneumonia; generalized additive models and smoothing curve fitting methods were applied to explore nonlinear relationships, followed by subgroup analyses to evaluate the consistency of the association across different subgroups and further validate the reliability of the findings.Results:After adjusting for potential confounding factors such as gender and age, BUN levels were positively correlated with the risk of all-cause in-hospital mortality [ OR=1.09(95% CI: 1.01-1.17), P=0.032]. There was a relationship between BUN levels and the risk of all-cause in-hospital mortality, with a turning point at 43.3 mg/dl. The sizes and 95% CI on either side of the turning point were 1.04(0.93-1.16) and 1.08(1.05-1.12), respectively. When BUN>43.3 mg/dl, BUN was correlated with the risk of all-cause in-hospital mortality, with an 8.0% increase in the risk of death for every 1.0 mg/dl increase in BUN ( P<0.05); when BUN<43.3 mg/dl, there was no significant relationship between BUN and the risk of all-cause in-hospital mortality ( P=0.534). Subgroup analysis indicated that in each subgroup of gender, age, source hospital, fever, respiratory, heart rate, crackles in the lungs, change in mental status, corticosteroid therapy, intubation, complete assistance with activities of daily living, medical insurance, and length of hospital stay, the OR value of BUN level had good stability (all OR>1.00) with the risk of all-cause mortality in AECOPD patients with pneumonia. Conclusions:BUN levels are associated with the risk of all-cause in-hospital mortality in patients with AECOPD complicated with pneumonia. When BUN>43.3 mg/dl, BUN levels are positively correlated with the risk of all-cause in-hospital mortality in these patients.

Objective:To investigate the association between high-density lipoprotein cholesterol (HDL-C) and the risk of diabetes mellitus (DM) in Chinese adults.Methods:This study was a secondary analysis of a multicenter, retrospective cohort study using data from the Chinese health screening program in the DATADRYAD database. Between 2010 and 2016, 211833 Chinese adults aged 20 years or older were screened for diabetes at baseline in 32 sites and 11 cities across the country. Baseline HDL-C level was the target independent variable and the risk of DM at follow-up was the dependent variable. Cox proportional hazards regression analysis assessed the independent association between HDL-C levels and the risk of developing DM. In this paper, the generalized Additive Model (GAM) and the smoothing curve fitting method were used to study the nonlinear relationships. In addition, subgroup analyses were conducted to assess the consistency of the correlations among different subgroup and to further validate the reliability of the results.Results:After adjusting for potential confounding factors such as age, sex and body mass index, HDL-C level was positively correlated with the development of diabetes ( HR=1.43, 95% CI: 1.08-1.90, P=0.012). The level of HDL-C showed a non-linear relationship with the risk of DM, and the inflection point was 1.81 mmol/L. The HR (95% CI) of the left and right sides of the inflection point were 0.94 (0.56-1.55) and 2.54 (1.93-3.30), respectively. When HDL-C>1.81 mmol/L, HDL-C was positively correlated with the occurrence of DM. Each 1.00 mmol/L increase in HDL-C increased the risk of diabetes mellitus by 1.54 times ( P<0.001); when HDL-C<1.81 mmol/L, the risk of diabetes decreased by 6% for every 1.00 mmol/L increase in HDL-C ( P=0.798). Subgroup analysis showed that, in the age, male, BMI 24.5-52.7 kg/m 2 subgroups, all the systolic blood pressure subgroups, diastolic blood pressure 69-77 and 78-164 mmHg (1 mmHg=0.133 kPa) subgroups, total cholesterol 0.02-4.26 and 5.00-17.84 mmol/L subgroups, all the triglyceride subgroups, low-density lipoprotein 0-2.42 and 2.99-12.60 mmol/L subgroups, alanine aminotransferase 23.4-1 508.4 U/L subgroups, aspartate transaminase 0-19.7 and 24.8-1 026.2 U/L subgroups, all the urea nitrogen subgroups, creatinine 61.5-76.9, 77.0-1 116.6 μmol/L subgroups, never smoking subgroup, subgroup with frequent alcohol consumption or family history of diabetes mellitus, the effect values of HDL-C and the risk of diabetes mellitus in Chinese adults showed good stability (all HR>1.00). Conclusions:High levels of HDL-C are associated with an increased risk of DM in Chinese adults. When HDL-C is greater than 1.81 mmol/L, HDL-C is positively correlated with DM.

Purpose To explore the differential expression of GPR110,an adherent G protein-coupled receptor,and its role in the differential diagnosis of acinar and solid adenocarcinoma of the lung.Methods The expression level of GPR110 was de-termined by immunohistochemistry(IHC),qRT-PCR and ELISA,and ROC and area under the curve(AUC)were ana-lyzed to distinguish the acinar predominant and solid predomi-nant of lung adenocarcinoma,so as to evaluate the role of differ-ential GPR110 expression in the differential diagnosis of these two histopathological subtypes with different prognosis.Results The expression of GPR110 in lung adenocarcinoma tumor tis-sue was significantly higher than that in adjacent tissue,and its expression in solid predominant lung adenocarcinoma was signifi-cantly higher than that in acinar predominant.The average con-centrations of GPR110 protein in 100 pairs of acinar predominant lung adenocarcinoma tumor tissues and its adjacent tissues were 430.53 and 313.26 ng/L by ELISA.The average concentrations of GPR110 protein in 53 pairs of solid predominant lung adeno-carcinoma tumor tissues and its adjacent tissues were 716.56 and 368.46 ng/L,and the differences were statistically signifi-cant(P＜0.001).At the same time,the ROC curve showed that the GPR110 protein had a sensitivity of 77.36％,a speci-ficity of 83.00％,an optimal Cut-off value of 582.27 ng/L,and an AUC of 0.865(0.802-0.927).Conclusion GPR110 has potential application value in the differential diagnosis of acinar type and solid type of adenocarcinoma of the lung,and it is ex-pected to become a new biomarker for differential diagnosis

Objective: To systematically evaluate the impact of acupuncture on exercise-induced fatigue (EIF). Methods: Scopus, Springer Link, Web of Science, PubMed, Cochrane Library, China National Knowledge Infrastructure (CNKI), Wanfang Academic Journal Full-text Database (Wanfang), Chongqing VIP Database (CQVIP), and China Biology Medicine Disc (CBM) were systematically searched to identify randomized controlled trials (RCTs) studying acupuncture treatment of EIF from the inception till August 2020. The risk of bias in the included studies was assessed using the Cochrane handbook. RevMan 5.3 was used to conduct statistical analysis on the extracted data. Results: A total of 11 RCTs were included for meta-analysis, involving 531 patients. It was revealed that acupuncture produced more significant effects in alleviating subjective fatigue [standardized mean difference (SMD)=-3.08, 95％ confidence interval (CI) (-4.35, -1.81), P<0.001], increasing the hemoglobin content [weighted mean difference (WMD)=3.89, 95％CI (1.37, 6.42), P=0.003], reducing the lactate dehydrogenase content [WMD=-10.63, 95％CI (-17.67, -3.59), P=0.003], reducing the blood lactic acid content [SMD=-2.65, 95％CI (-4.47, -0.83), P=0.004], and down-regulating the levels of serum creatine kinase [SMD=-0.79, 95％CI (-1.10, -0.48), P<0.001] and blood urea nitrogen [WMD=-1.47, 95％CI (-1.84, -1.11), P<0.001] than the control groups. Conclusion: Based on the existing evidence, acupuncture can be recognized as effective in improving EIF and is worthy of promotion in clinical settings.