BACKGROUND: Valvular heart disease (VHD) has become increasingly common with the aging in China. This study aimed to evaluate regional differences in the clinical features, management strategies, and outcomes of patients with VHD across different regions in China. METHODS: Data were collected from the China-VHD Study. From April 2018 to June 2018, 12,347 patients who presented with moderate or severe native VHD with a median of 2 years of follow-up from 46 centers at certified tertiary hospitals across 31 provinces, autonomous regions, and municipalities in Chinese mainland were included in this study. According to the locations of the research centers, patients were divided into five regional groups: eastern, southern, western, northern, and central China. The clinical features of VHD patients were compared among the five geographical regions. The primary outcome was all-cause mortality or rehospitalization for heart failure. Kaplan-Meier survival analysis was used to compare the cumulative incidence rate. RESULTS: Among the enrolled patients (mean age, 61.96 years; 6877 [55.70%] male), multiple VHD was the most frequent type (4042, 32.74%), which was mainly found in eastern China, followed by isolated mitral regurgitation (3044, 24.65%), which was mainly found in northern China. The etiology of VHD varied significantly across different regions of China. The overall rate of valve interventions was 32.67% (4008/12,268), with the highest rate in southern China at 48.46% (205/423). In terms of procedure, the proportion of transcatheter valve intervention was relatively low compared to that of surgical treatment. Patients with VHD in western China had the highest incidence of all-cause mortality or rehospitalization for heart failure. Valve intervention significantly improved the outcome of patients with VHD in all five regions (all P  <0.05). CONCLUSIONS: This study revealed that patients with VHD in China are characterized by significant geographic disparities in clinical features, treatment, and clinical outcomes. Targeted efforts are needed to improve the management and prognosis of patients with VHD in China according to differences in geographical characteristics. REGISTRATION ClinicalTrials.gov , NCT03484806.
Aged ; Female ; Humans ; Male ; Middle Aged ; China/epidemiology* ; Heart Valve Diseases/therapy* ; Kaplan-Meier Estimate ; Tertiary Care Centers ; Treatment Outcome

Peanut, a major economic and oil crop known for the high protein and oil content, is extensively cultivated in China. Peanut plants have the ability to form nodules with rhizobia, where the nitrogenase converts atmospheric nitrogen into ammonia nitrogen that can be utilized by the plants. Analysis of nodule fixation is of positive significance for avoiding overapplication of chemical fertilizer and developing sustainable agriculture. In this study, AhNIGT1.2, a member of the NIGT family predominantly expressed in peanut nodules, was identified by bioinformatics analysis. Subsequent spatiotemporal expression analysis revealed that AhNIGT1.2 was highly expressed in nodules and showed significant responses to high nitrogen, low nitrogen, high phosphorus, low phosphorus, and rhizobia treatments. Histochemical staining indicated that the gene was primarily expressed in developing nodules and at the connection region between mature nodules and peanut roots. The fusion protein AhNIGT1.2-GFP was located in the nucleus of tobacco epidermal cells. The AhNIGT1.2-OE significantly increased the number of peanut nodules, while AhNIGT1.2-RNAi reduced the number of nodules, which suggested a positive regulatory role of AhNIGT1.2 in peanut nodulation. The AhNIGT1.2-OE in roots down-regulated the expression levels of NRT1.2, NRT2.4, NLP1, and NLP7, which indicated that AhNIGT1.2 influenced peanut nodulation by modulating nitrate transport and the expression of NLP genes. The transcriptome analysis of AhNIGT1.2-OE and control roots revealed that overexpressing AhNIGT1.2 significantly enriched the differentially expressed genes associated with nitrate response, nodulation factor pathway, enzymes for triterpene biosynthesis, and carotenoid biosynthesis. These findings suggest that AhNIGT1.2 play a key role in peanut nodulation by regulating nitrate transport and response and other related pathways. This study gives insights into the molecular mechanisms of nitrogen and phosphorus in regulating legume nodulation and nitrogen fixation, and sheds light on the development of legume crops that can efficiently fix nitrogen in high nitrogen environments.
Arachis/physiology* ; Nitrates/metabolism* ; Plant Proteins/physiology* ; Transcription Factors/metabolism* ; Plant Root Nodulation/physiology* ; Gene Expression Regulation, Plant ; Root Nodules, Plant/metabolism* ; Nitrogen Fixation

OBJECTIVE To characterize paclitaxel nanoparticles （PTX-PLGA-NPs） and evaluate their in vitro inhibitory effect on Lewis lung cancer cells. METHODS The PTX-PLGA-NPs prepared by the emulsion-solvent evaporation method were characterized in terms of particle size， polydispersity index （PDI）， Zeta potential， microscopic morphology， encapsulation efficiency， drug loading， ultraviolet-visible absorption characteristics and stability. Using mouse Lewis lung cancer cells as the subjects and paclitaxel reference substance as the control， the cytotoxicity and in vitro killing activity of PTX-PLGA-NPs were detected using CCK-8 method and Calcein-AM/PI double staining method， respectively. The effects of PTX-PLGA-NPs on cell apoptosis and cell cycle were assessed by Annexin Ⅴ-FITC/PI staining method and PI staining method， respectively. RESULTS PTX-PLGA-NPs were spherical with an average particle size of （172.03±0.95） nm， PDI of 0.098±0.012， and Zeta potential of （－1.76±0.02） mV. The encapsulation efficiency and drug loading were （52.32±0.66）% and （7.07±0.18）%， respectively， and the ultraviolet-visible absorption characteristics were not affected by the carrier polylactic-co-glycolic acid. When stored in the dark at 4 °C for 7 days， no significant change was noted in particle size， and the average PDI （after 1， 2， 4 and 7 days of storage） was under 0.3. Compared with the paclitaxel reference substance group， the PTX-PLGA-NPs group had more cells in a state of death， the survival rate （at the PTX concentration of 11.2 μg/mL） was significantly decreased， and both the apoptosis rate and the proportion of G2 phase cells were significantly increased （P＜0.05）. CONCLUSIONS The prepared PTX-PLGA-NPs indicate homogeneity in particle size， uniform dispersion， stable properties， and stronger in vitro killing effect on lung cancer cells than PTX.

Objective To investigate the mechanism of naringin (NAR) on retinal microvascular endothelial cells (HRMECs) injury based on adenosine-monophosphate-activated protein kinase (AMPK)/mammalian target of rapamycin (mTOR) pathway. Methods HRMECs were randomly divided into control group, high glucose (HG) group, HG+NAR group (3 mg/L NAR), HG+activator (AICAR) group (1 mmol/L AICAR), and HG+NAR+AICAR group (3 mg/L NAR+1 mmol/L AICAR); the control group was treated with 5 mmol/L D-glucose added to the culture medium, while the other groups were treated with 30 mmol/L D-glucose added to the culture medium. CCK-8 and Transwell were used to detect cell proliferation and migration respectively; enzyme-linked immunosorbent assay (ELISA) was applied to detect the levels of interleukin (IL)-1β, IL-6 and tumor necrosis factor-α (TNF-α) in the supernatant; quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) was applied to detect the expression levels of autophagy factors LC3 mRNA and p62 mRNA; Western blot was applied to detect the AMPK/mTOR pathway and expression levels of autophagy-related proteins. Results Compared with the control group, the cell viability, the number of migrating cells, levels of IL-1, IL-6 and TNF-α, and p-AMPK/AMPK, LC3Ⅱ/LC3Ⅰ as well as LC3 mRNA expression increased in the HG group, while the p-mTOR/mTOR, p62 protein and p62 mRNA expression decreased (P < 0.05); compared with the HG group, the cell viability, the number of migrating cells, levels of IL-1, IL-6 and TNF-α, and p-AMPK/AMPK, LC3Ⅱ/LC3Ⅰ as well as LC3 mRNA expression decreased in the HG+NAR group, while the p-mTOR/mTOR, p62 protein and p62 mRNA expression increased, but the cell viability, the number of migrating cells, levels of IL-1, IL-6 and TNF-α, p-AMPK/AMPK and LC3Ⅱ/LC3Ⅰ expression increased in the HG+AICAR group, while the p-mTOR/mTOR, p62 protein and p62 mRNA expression decreased (P < 0.05); compared with the HG+NAR group, the cell viability, the number of migrating cells, levels of IL-1, IL-6 and TNF-α, and p-AMPK/AMPK, LC3Ⅱ/LC3Ⅰ as well as LC3 mRNA expression increased in the HG+NAR+AICAR group, while the p-mTOR/mTOR, p62 protein and p62 mRNA expression decreased (P < 0.05); compared with the HG+AICAR group, the cell viability, the number of migrating cells, levels of IL-1, IL-6 and TNF-α, and p-AMPK/AMPK, LC3Ⅱ/LC3Ⅰ as well as LC3 mRNA expression significantly decreased in the HG+NAR+AICAR group, while the p-mTOR/mTOR, p62 protein and p62 mRNA expression increased (P < 0.05). Conclusion NAR can alleviate HG induced injury to HRMECs, and its mechanism may be related to the inhibition of AMPK/mTOR pathway mediated autophagy.

Objective:To investigate the value of number of negative lymph nodes (NLNs) in predicting the prognosis of patients with esophageal cancer after neoadjuvant therapy and the construction of nomogram prodiction model.Methods:The retrospective cohort study was conducted. The clinicopathological data of 1 924 patients with esophageal cancer after neoadjuvant therapy uploaded to the Surveillance, Epidemiology, and End Results Database of the National Cancer Institute from 2004 to 2015 were collected. There were 1 624 males and 300 females, aged 63 (range, 23?85)years. All 1 924 patients were randomly divided into the training dataset of 1 348 cases and the validation dataset of 576 cases with a ratio of 7:3 based on random number method in the R software (3.6.2 version). The training dataset was used to constructed the nomogram predic-tion model, and the validation dataset was used to validate the performance of the nomogrram prediction model. The optimal cutoff values of number of NLNs and number of examined lymph nodes (ELNs) were 8, 14 and 10, 14, respectively, determined by the X-tile software (3.6.1 version), and then data of NLNs and ELNs were converted into classification variables. Observation indicators: (1) clinicopathological characteristics of patients in the training dataset and the validation dataset; (2) survival of patients in the training dataset and the validation dataset; (3) prognostic factors analysis of patients in the training dataset; (4) survival of patients in subgroup of the training dataset; (5) prognostic factors analysis in subgroup of the training dataset; (6) construction of nomogram prediction model and calibration curve. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the t test. Measurement data with skewed distribution were represented as M(range), and comparison between groups was conducted using the Mann-Whitney U test. Count data were described as absolute numbers, and comparison between groups was conducted using the chi-square test. The Kaplan-Meier method was used to draw survival curve and Log-Rank test was used for survival analysis. The COX proportional hazard model was used for univariate and multivariate analyses. Based on the results of multivariate analysis, the nomogram prediction model was constructed. The prediction efficacy of nomogram prediction model was evaluated using the area under curve (AUC) of the receiver operating characteristic curve and the Harrell′s c index. Errors of the nomogram prediction model in predicting survival of patients for the training dataset and the validation dataset were evaluated using the calibration curve. Results:(1) Clinicopathological characteristics of patients in the training dataset and the validation dataset. There was no significant difference in clinicopatholo-gical characteristics between the 1 348 patients of the training dataset and the 576 patients of the validation dataset ( P>0.05). (2) Survival of patients in the training dataset and the validation dataset. All 1 924 patients were followed up for 50(range, 3?140)months, with 3-year and 5-year cumulative survival rate as 59.4% and 49.5%, respectively. The 3-year cumulative survival rate of patients with number of NLNs as <8, 8?14 and >14 in the training dataset was 46.7%, 62.0% and 66.0%, respectively, and the 5-year cumulative survival rate was 38.1%, 52.1% and 59.7%, respectively. There was a significant difference in the survival of these patients in the training dataset ( χ2=33.70, P<0.05). The 3-year cumulative survival rate of patients with number of NLNs as <8, 8?14 and >14 in the validation dataset was 51.1%, 54.9% and 71.2%, respectively, and the 5-year cumulative survival rate was 39.3%, 42.5% and 55.7%, respectively. There was a significant difference in the survival of these patients in the validation dataset ( χ2=14.49, P<0.05). The 3-year cumulative survival rate of patients with number of ELNs as <10, 10?14 and >14 in the training dataset was 53.9%, 60.0% and 62.7%, respectively, and the 5-year cumulative survival rate was 44.7%, 49.1% and 56.9%, respectively. There was a significant difference in the survival of these patients in the training dataset ( χ2=9.88, P<0.05). The 3-year cumulative survival rate of patients with number of ELNs as <10, 10?14 and >14 in the validation dataset was 56.2%, 47.9% and 69.3%, respectively, and the 5-year cumula-tive survival rate was 44.9%, 38.4% and 51.9%, respectively. There was a significant difference in the survival of these patients in the validation dataset ( χ2=9.30, P<0.05). (3) Prognostic factors analysis of patients in the training dataset. Results of multivariate analysis showed that gender, neoadjuvant pathological (yp) T staging, ypN staging (stage N1, stage N2, stage N3) and number of NLNs (8?14, >14) were independent influencing factors for the prognosis of patients with esophageal cancer after neoadjuvant therapy ( hazard ratio=0.65, 1.44, 1.96, 2.41, 4.12, 0.69, 0.56, 95% confidence interval as 0.49?0.87, 1.17?1.78, 1.59?2.42, 1.84?3.14, 2.89?5.88, 0.56?0.86, 0.45?0.70, P<0.05). (4) Survival of patients in subgroup of the training dataset. Of the patients with NLNs in the training dataset, the 3-year cumulative survival rate of patients with number of NLNs as <8, 8?14 and >14 was 61.1%, 71.6% and 76.8%, respectively, and the 5-year cumulative survival rate was 50.7%, 59.9% and 70.1%, respectively. There was a significant difference in the survival of these patients in the training dataset ( χ2=12.66, P<0.05). Of the patients with positive lymph nodes in the training dataset, the 3-year cumulative survival rate of patients with number of NLNs as <8, 8?14 and >14 was 26.1%, 42.9% and 44.7%, respectively, and the 5-year cumulative survival rate was 20.0%, 36.5% and 39.3%, respectively. There was a significant difference in the survival of these patients in the training dataset ( χ2=20.39, P<0.05). (5) Prognostic factors analysis in subgroup of the training dataset. Results of multivariate analysis in patients with NLNs in the training dataset showed that gender, ypT staging and number of NLNs (>14) were independent influencing factors for the prognosis of patients with esophageal cancer after neoadju-vant therapy ( hazard ratio=0.67, 1.44, 0.56, 95% confidence interval as 0.47?0.96, 1.09?1.90, 0.41?0.77, P<0.05). Results of multi-variate analysis in patients with positive lymph nodes in the training dataset showed that race as others, histological grade as G2, ypN staging as stage N3 and number of NLNs (8?14, >14) were independent influencing factors for the prognosis of patients with esophageal cancer after neoadjuvant therapy ( hazard ratio=2.73, 0.70, 2.08, 0.63, 0.59, 95% confidence interval as 1.43?5.21, 0.54?0.91, 1.44?3.02, 0.46?0.87, 0.44?0.78, P<0.05). (6) Construction of nomogram prediction model and calibration curve. Based on the multivariate analysis of prognosis in patients of the training dataset ,the nomogram prediction model for the prognosis of patients with esophageal cancer after neoadju-vant treatment was constructed based on the indicators of gender, ypT staging, ypN staging and number of NLNs. The AUC of nomogram prediction model in predicting the 3-, 5-year cumulative survival rate of patients in the training dataset and the validation dataset was 0.70, 0. 70 and 0.71, 0.71, respectively. The Harrell′s c index of nomogram prediction model of patients in the training dataset and the validation dataset was 0.66 and 0.63, respectively. Results of calibration curve showed that the predicted value of the nomogram prediction model of patients in the training dataset and the validation dataset was in good agreement with the actual observed value. Conclusion:The number of NLNs is an independent influencing factor for the prognosis of esophageal cancer patients after neoadjuvant therapy, and the nomogram prediction model based on number of NLNs can predict the prognosis of esophageal cancer patients after neoadjuvant therapy.

Objective:To investigate the correlation of peripheral blood relative mitochondrial DNA copy number(mtDNAcn)with intrinsic capacity and body composition, and to identify potential biomarkers for healthy aging.Methods:Clinical data of 416 patients admitted to our hospital from September 2019 to June 2021 were consecutively collected.MtDNA was extracted from peripheral blood of these subjects, and mtDNAcn was determined by a real-time fluoresence quantitative reverse transcription-polymerase chain reaction(qRT-PCR). Intrinsic capacity assessment included 5 aspects that were exercise[Morse Fall Scale(MFS), Physiological Frailty Phenotype(PFP), Sarcopenia Questionnaire(SARC-CALF), Short Physical Performance Battery(SPPB), Time Up and Go Test(TUG)]; vitality[Mini Nutritional Assessment(MNA), Multidimensional Prognostic Index(MPI)]; cognition[Mini-Mental State Examination(MMSE)scale]; psychology[Geriatric Depression Scale(GDS), Self-rating Anxiety Scale(SAS)]; sensory capacities[Cumulative Illness Rating Scale-the Comorbidity Index(CIRS-CI)]. To assess body composition, dual-energy X-ray absorptiometry was used to measure body fat, including trunk fat, total body fat, fat in the abdominal region, fat in the buttock region, and then to calculate fat index(FMI)and limb skeletal muscle mass index(ASMI).Results:Spearman correlation analysis showed that mtDNAcn had a negatively correlation with age( r=-0.176, P<0.05). After adjustment for gender and body mass index, partial correlation analysis showed mtDNAcn were still negatively correlated with age( r=-0.144, P<0.05). Furthermore, mtDNAcn was significantly correlated with 4 m gait speed, the scores of SARC-CalF, MFS, MNA, MMSE, MPI and its sub-scale's Activities of Daily Living(ADL)and Short Portable Mental Status Questionnaire(SPMSQ)( r=0.171, -0.207, -0.163, 0.221, 0.184, -0.210, 0.241, -0.269, all P<0.05). After adjustment for age, gender and body mass index, partial correlation analysis showed mtDNAcn still had a significant correlation with gait speed, the scores of MFS, MNA, MPI and SPMSQ( r=0.170, -0.170, 0.148, -0.242, -0.188, all P<0.05). In addition, the Spearman correlation analysis showed that mtDNAcn was positively correlated with FMI, trunk fat, total body fat, abdominal fat and fat in the buttock region( r=0.168, 0.143, 0.175, 0.116, 0.199, all P<0.05). However, after adjustment for age and gender, mtDNAcn was only correlated with FMI, total body fat, fat in the buttock region( r=0.126, 0.131, 0.127, all P<0.05). On the other hand, multiple linear regression analysis showed that mtDNAcn was significantly correlated with age, gait speed, FMI, total body fat, fat in the buttock region, the scores of MFS, PFP, MNA and MPI( β=-0.191, 0.156, 0.126, 0.131, 0.125, -0.119, -0.145, 0.151, -0.171, all P<0.05). Conclusions:MtDNAcn is correlated with physical function, frailty, nutrition, falling, cognition and body composition, and may be considered as a biomarker for the evaluation of the locomotion and vitality of human intrinsic capacity.

Background::The study aimed to describe the aortic valve morphology in Chinese patients underwent transcatheter aortic valve replacement (TAVR) for symptomatic severe aortic stenosis (AS), and the impact of sizing strategies and related procedural outcomes.Methods::Patients with severe AS who underwent TAVR were consecutively enrolled from 2012 to 2019. The anatomy and morphology of the aortic root were assessed. "Downsize" strategy was preformed when patients had complex morphology. The clinical outcomes of patients who performed downsize strategy were compared with those received annular sizing strategy. The primary outcome was device success rate, and secondary outcomes included Valve Academic Research Consortium-3 clinical outcomes variables based on 1-year follow-up.Results::A total of 293 patients were enrolled. Among them, 95 patients (32.4%) had bicuspid aortic valve. The calcium volume (Hounsfield Unit-850) of aortic root was 449.90 (243.15-782.15) mm 3. Calcium is distributed mostly on the leaflet level. Downsize strategy was performed in 204 patients (69.6%). Compared with the patients who performed annular sizing strategy, those received downsize strategy achieved a similar device success rate (82.0% [73] vs. 83.3% [170], P= 0.79). Aortic valve gradients (downsize strategy group vs. annular sizing group, 11.28 mmHg vs. 11.88 mmHg, P = 0.64) and percentages of patients with moderate or severe paravalvular regurgitation 2.0% (4/204) vs. 4.5% (4/89), P = 0.21) were similar in the two groups at 30 days after TAVR. These echocardiographic results were sustainable for one year. Conclusions::Chinese TAVR patients have more prevalent bicuspid morphology and large calcium volume of aortic root. Calcium is distributed mostly on the leaflet level. Compare with annular sizing strategy, downsize strategy provided a non-inferior device success rate and transcatheter heart valve hemodynamic performance in self-expanding TAVR procedure.

Cardio-cerebrovascular disease (CCVD) is a major comorbidity of Coronavirus disease 2019 (COVID-19). However, the clinical characteristics and outcomes remain unclear. In this study, 102 cases of COVID-19 from January 22, 2020 to March 26, 2020 in Xixi Hospital of Hangzhou were included. Twenty cases had pre-existing CCVD. Results showed that compared with non-CCVD patients, those with CCVD are more likely to develop severe disease (15% versus 1%), and the proportion of pneumonia severity index grade IV was significantly higher (25% versus 3.6%). Computed tomography images demonstrated that the proportion of multiple lobe lesion involvement was significantly higher in the CCVD group than in the non-CCVD group (90% versus 63.4%). Compared with non-CCVD group, the levels of C-reactive protein, fibrinogen, D-dimer, and serum amyloid-A were higher, whereas the total protein and arterial partial PaO
COVID-19 ; Cerebrovascular Disorders/epidemiology* ; Comorbidity ; Humans ; SARS-CoV-2 ; Tomography, X-Ray Computed

【Objective】 To explore the effect mechanism of Salvia miltiorrhiza and safflower on combined anti-ischemic stroke and verify relevant action targets in middle cerebral artery occlusion (MCAO) rat model based on network pharmacology. 【Methods】 ①Traditional Chinese Medicine Systems Pharmacology (TCMSP) and GeneCards databases were used to screen the active components, component targets and ischemic stroke targets of Salvia miltiorrhiza and safflower respectively. The above data were imported into STRING database for protein interaction network analysis, and Cytoscape3.8.0 software was used to construct protein interaction network (PPI) and component target interaction network. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway annotation analysis of target genes were performed using David online analysis tool. ② In this experiment, a rat model of ischemic stroke was prepared by using improved MCAO method, and immunohistochemical method and Real-time quantitative polymerase chain reaction (REAL-TIME PCR) to detect the positive expressions of NLRP3 inflammatory body and NF P65 protein in the brain tissue of rats in each group so as to explore the functional mechanism of anti-inflammation reaction against cerebral ischemia injury. 【Results】 ① A total of 87 effective components, corresponding to 253 targets, 1448 targets for ischemic stroke and 161 targets related to drugs and diseases, were screened from the Salvia milticorrhiza and safflower drug pairs. We obtained 730 biological processes, 81 cell components and 128 molecular functions through GO analysis, and 127 signal pathways through KEGG analysis. ②Immunohistochemical method and Real-time PCR determination results showed that compared with control group rats, model group rats had significantly increased tissue NLRP3 inflammatory body and NFkBp65 protein expressions (P<0.01). Compared with those in the model group, NLRP3 inflammatory body and NFkBp65 protein expressions significantly decreased in Dan red compatibility groups and nim horizon groups (P<0.01). 【Conclusion】 Compatibility of effective components in salvia miltiorrhiza, and carthamus tinctorius can further downregulate the release of inflammatory corpuscle NLRP3 through NFkB signaling pathway by blocking inflammatory lesions and thus plays the role of fighting against inflammatory damage.

Objective:To explore the distribution characteristics of pathogens in adult patients with community-acquired pneumonia (CAP) and to provide basis for the diagnosis, treatment, prevention of CAP.Methods:1 446 inpatients with CAP were prospectively enrolled in a third-class hospital in Beijing in recent 5 years (from January 2015 to December 2019). Respiratory tract samples were collected for smear, culture, nucleic acid, antigen and antibody detection to identify the pathogen of CAP. Mann-Whitney U test was used for continuous variables and χ 2 test or Fisher′s exact test was used for categorical data for statistical analysis. Results:Among the 1 446 patients, 822 (56.85%) patients were infected with a single pathogen, 231 (15.98%) patients were infected with multiple pathogens, and 393 (27.18%) patients were not clear about the pathogen. Influenza virus is the first pathogen of CAP (20.95%, 303/1 446), mainly H1N1 (8.51%, 123/1 446), followed by mycoplasma pneumoniae (7.19%, 104/1 446), Mycobacterium tuberculosis (5.33%, 77/1 446) and Streptococcus pneumoniae (5.05%, 73/1 446). The outbreak of H1N1 occurred from December 2018 to February 2019, and the epidemic of mycoplasma pneumoniae pneumonia was monitored from August to November 2019. Patients under 65 years old had high detection rates of Mycoplasma pneumoniae (14.41% vs. 2.41%, χ2=74.712, P<0.001), Streptococcus pneumoniae (8.16% vs. 2.99%, χ2=18.156, P<0.001), rhinovirus (6.08% vs. 3.56%, χ2=5.025, P<0.025), Chlamydia pneumoniae (5.90% vs. 1.15%, χ2=26.542, P<0.001) and adenovirus (3.13% vs. 0.92%, χ2=9.547, P=0.002). The severe disease rate of CAP was 14.66% (212/1 446), and the average mortality rate was 3.66% (53/1 446). The severe illness rate and mortality rate of bacterial-viral co-infection were 28.97% (31/107) and 19.63% (21/107), respectively. Conclusions:Influenza virus is the primary pathogen of adult CAP. Outbreaks of Mycoplasma pneumoniae and H1N1 were detected in 2018 and 2019, respectively. The remission rate and mortality rate of virus-bacteria co-infection were significantly higher than those of single pathogen infection. Accurate etiological basis not only plays a role in clinical diagnosis and treatment, but also provides important data support for prevention and early warning.