BACKGROUND: Whether adherence to a healthy lifestyle is associated with a lower risk of developing pneumonia and a better long-term prognosis remains unclear. This study aimed to investigate associations of individual and combined lifestyle factors (LFs) with the incidence risk and long-term prognosis of pneumonia hospitalization. METHODS: Using data from the China Kadoorie Biobank study, we used the multistate models to investigate the role of five high-risk LFs, including smoking, excessive alcohol drinking, unhealthy dietary habits, physical inactivity, and unhealthy body shape, alone or in combination in the transitions from a generally healthy state at baseline to pneumonia hospitalization or cardiovascular disease (CVD, regarded as a reference outcome), and subsequently to mortality. RESULTS: Most of the five high-risk LFs were associated with increased risks of transitions from baseline to pneumonia and from pneumonia to death, but with different risk estimates. The greater the number of high-risk LFs, the higher the risk of developing pneumonia and long-term mortality risk after pneumonia, with the strength of associations comparable to that of LFs and CVD. Compared to participants with 0-1 high-risk LF, the adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for transitions from baseline to pneumonia and from pneumonia to death in those with five high-risk LFs were 1.43 (1.28-1.60) and 1.98 (1.61-2.42), respectively. Correspondingly, the respective HRs (95% CIs) for transitions from baseline to CVD and from CVD to death were 2.00 (1.89-2.11) and 1.44 (1.30-1.59), respectively. The risk estimates changed slightly when further adjusting for the presence of major chronic diseases. CONCLUSION In this Chinese population, unhealthy LFs were associated with an increased incidence and long-term mortality risk of pneumonia.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Cardiovascular Diseases/etiology* ; China/epidemiology* ; Life Style ; Pneumonia/etiology* ; Prognosis ; Risk Factors ; Smoking

Objective: To explore the relationship of family function with sleep and externalizing problem behaviors of preschool children, so as to provide a guidance for externalizing problem prevention and intervention among preschool children. Methods: From October 2023 to January 2024, a convenience sampling method was used to select 5 138 preschool children from kindergartens in 8 districts of Wuhan City, Hubei Province. Parents completed the survey for Family Adaptability and Cohesion Scale, children s sleep habits and Child Behavior Checklist (CBCL). Spearman correlation analysis was used to examine the correlation of family function with scores of sleep quality and externalizing problem behaviors among preschool children. A mediation model analysis and bootstrap test were conducted to further investigate the mediating role of sleep quality between family function and externalizing problem behaviors. Mplus 8.7 software was used for latent profile analysis of family function. Results: The reported rates of poor sleep quality and externalizing problem behaviors among preschool children were 11.8% ( n =607), 20.0% ( n =1 026). The relevant analysis results showed that family function was negatively correlated with sleep quality and externalizing problem behaviors ( r = -0.20, -0.23), and sleep quality was positively correlated with externalizing problem behaviors ( r =0.27) ( P <0.01). The mediation effect test showed that family function negatively predicted externalizing problem behaviors ( β =-0.079) and sleep quality ( β = -0.075), while sleep quality positively predicted externalizing problem behaviors ( β =0.215) ( P <0.01). The latent profile analysis results showed that family function could be classified into 4 categories: high family function group (23.01%), upper middle family function group (44.65%), moderate family function group (26.24%) and low family function group (6.11%). Compared to high family function, the other three categories significantly positively predicted externalizing problem behaviors, and the mediating effects of sleep quality on different categories of family function were statistically significant [upper middle family function: mediation effect value was 0.022 (95% CI =0.004-0.041) and direct effect value was 0.329 (95% CI =0.263-0.396); middle family function: mediation effect value was 0.087 (95% CI =0.063-0.115) and direct effect value was 0.491 (95% CI =0.416-0.565); low family function: mediation effect value was 0.144 (95% CI =0.107-0.185) and direct effect 0.621 (95% CI =0.503-0.740)] ( P < 0.05 ). Conclusion Family function negatively predicts the externalizing problem behaviors of preschool children, and sleep quality plays a partial mediating role.

Objective:To explore the potential of the novel fibroblast activation protein (FAP)-targeted theranostic agent 68Ga/ 177Lu-1, 4, 7, 10-tetraazacyclododecane-1, 4, 7, 10-tetraacetic acid (DOTA)-2P (FAP inhibitor (FAPI)) 2 in microsatellite stable (MSS) colorectal cancer, and to evaluate the efficacy and underlying mechanism of 177Lu-DOTA-2P(FAPI) 2 in combination with immune checkpoint inhibitors (ICIs). Methods:This study was a randomized, parallel-group design. DOTA-2P(FAPI) 2 was labeled with 68Ga or 177Lu respectively. The binding performance of DOTA-2P(FAPI) 2 to FAP was validated through in vitro cell experiments. FAP-positive CT26-FAP tumor-bearing mouse model was constructed, and microPET imaging and biodistribution were performed. The in vivo antitumor efficacy was assessed for the 177Lu-DOTA-2P(FAPI) 2 monotherapy, α programmed death-ligand 1 (PD-L1) monotherapy, and the combination of 177Lu-DOTA-2P(FAPI) 2 with αPD-L1 therapy groups. Changes in the tumor microenvironment were analyzed using single-cell RNA sequencing to elucidate the mechanism of the combined treatment. Independent-sample t test was used to analyze data. Survival analysis was performed using the log-rank test. Results:The labeling yields of 68Ga/ 177Lu-DOTA-2P(FAPI) 2 were both >90%, with the radiochemical purities both >95%. In vitro cellular uptake and blocking assays showed that FAPI-46 significantly inhibited the binding of 68Ga-DOTA-2P(FAPI) 2 to FAP in CT26-FAP cells, with the cellular uptake values at 60min of (51.5±0.8)% and (1.0±0.3)%, respectively ( t=102.40, P<0.001). MicroPET imaging showed that the tumor uptake of 68Ga-DOTA-2P(FAPI) 2 remained stable even at 4 h post-injection, with a significantly higher uptake value compared to 68Ga-FAPI-46 ((7.3±1.6) vs (3.7±0.2) percentage activity of injection dose per gram of tissue (%ID/g); t=3.87, P=0.018). The biodistribution results indicated significant tumor uptake of 177Lu-DOTA-2P(FAPI) 2 even at 24 h post-injection ((4.30±0.52)%ID/g). The combination of 177Lu-DOTA-2P(FAPI) 2 and αPD-L1 achieved the 30-day survival rate of 100%, which was significantly superior to that of the control group (saline injection; χ2=9.53, P=0.002). Further mechanistic studies revealed that the combination therapy reprogramed the tumor microenvironment, enhanced anti-tumor intercellular communication, and activated signaling pathways such as Fas-FasL between T cells/natural killer (NK) cells and tumor cells, thereby synergistically inhibiting tumor progression. Conclusions:68Ga/ 177Lu-DOTA-2P(FAPI) 2 exhibits theranostic potential for MSS colorectal cancer. The combination of 177Lu-DOTA-2P(FAPI) 2 with ICIs may significantly prolong survival, demonstrating significant potential for clinical translation.

Objective:To explore the impacts of smoking on the need for respiratory support and mortality in patients hospitalized with pneumonia.Methods:A total of 24 367 patients hospitalized with pneumonia from 2009 to 2017 in the China Kadoorie Biobank, were included. Smoking status was self-reported, and data regarding respiratory support during hospitalization and mortality during follow-up were obtained from medical claims and death registries, respectively. OR, HR, and 95% CI were calculated and adjusted for potential confounders using logistic regression models and Cox proportional hazards regression models, respectively. Results:Among males, current smokers or those who quit smoking due to illness had higher risks of requiring respiratory support ( OR=1.15, 95% CI: 1.03-1.29), 1-year mortality ( HR=1.66, 95% CI: 1.32-2.08), and 5-year mortality ( HR=1.32, 95% CI: 1.13-1.54) following pneumonia hospitalization compared to nonsmokers. Male smokers who started smoking at a younger age or with longer smoking duration had the highest mortality risks (trend test both P<0.05). Female current smokers or those who quit smoking due to illness had higher risks of 1-year mortality ( HR=1.62, 95% CI: 1.17-2.23) and 5-year mortality ( HR=1.33, 95% CI: 1.06-1.67). We found no statistically significant difference in 90-day mortality between current smokers/those who quit smoking due to illness and nonsmokers. Conclusions:Smoking was associated with higher risks of requiring respiratory support and mortality in patients hospitalized with pneumonia, especially among males and heavy smokers. These findings highlight the need for targeted strategies to promote smoking cessation in patients hospitalized with pneumonia.

The aim of this paper was to investigate the serotypes,virulence factors and drug resist-ance of clinical isolates of Pasteurella rnultocida of porcine origin in recent years.Morphological screening and polymerase chain reaction(PCR)were used to isolate and identify 119 isolates from nasal swabs and lung tissue samples sent from swine farms in Zhejiang Province from 2010 to 2024.The isolates of Pasteurella multocida were subjected to capsular polysaccharide serotyping,lipopolysaccharide serotyping,virulence factor detection and drug resistance analysis by PCR and Kirby-Bauer disc agar diffusion method(K-B).The results showed that there were 64 strains(53.7％)of A-type,54 strains(45.3％)of D-type and 1 strain(0.9％)of F-type among the capsu-lar polysaccharide serotypes,and 10 strains(8.4％)of L1-type,20 strains(16.8％)of L3-type,86 strains(72.2％)of L6-type,and 3 strains(2.6％)of undetermined type among the lipopolysaccha-ride serotypes.The amplification results of 10 virulence genes showed that the detection rate of virulence genes hgbA,higbB and fimA was over 86.0％,the detection rate of toxA was 8.4％,while the virulence gene tbpA was not detected.There were also differences in the distribution vir-ulence genes in different capsular polysaccharide serotypes.Virulence factor pfhA was detected in type A and F but not in type D.The detection rate of adhesin gene tadD in serotype A(92.2％)was significantly higher than that of type D(9.3％),and,on the contrary,the detection rate of ad-hesin gene hsf-l in serotype D(90.7％)was significantly higher than that of type A(20.3％).Drug resistance analysis revealed that Pasteurella multocida showed high susceptibility to antimi-crobial drugs such as amoxicillin,ampicillin,cephalosporins,doxycycline,fosfenicol and ciprofloxa-cin,and showed strong resistance to antimicrobial drugs such as lincomycin,cotrimoxazole,genta-micin and amikacin,and there were 54 multi-drug resistant strains(78.3％).In summary,capsular polysaccharide serotypes were dominated by type A and D,lipopolysaccharide serotypes were dom-inated by L6,the distribution of some virulence genes varied greatly among different serotypes,and the proportion of multi-resistant strains was high,which provide reference for the prevention and control of this disease.

Objective:To explore the impacts of smoking on the need for respiratory support and mortality in patients hospitalized with pneumonia.Methods:A total of 24 367 patients hospitalized with pneumonia from 2009 to 2017 in the China Kadoorie Biobank, were included. Smoking status was self-reported, and data regarding respiratory support during hospitalization and mortality during follow-up were obtained from medical claims and death registries, respectively. OR, HR, and 95% CI were calculated and adjusted for potential confounders using logistic regression models and Cox proportional hazards regression models, respectively. Results:Among males, current smokers or those who quit smoking due to illness had higher risks of requiring respiratory support ( OR=1.15, 95% CI: 1.03-1.29), 1-year mortality ( HR=1.66, 95% CI: 1.32-2.08), and 5-year mortality ( HR=1.32, 95% CI: 1.13-1.54) following pneumonia hospitalization compared to nonsmokers. Male smokers who started smoking at a younger age or with longer smoking duration had the highest mortality risks (trend test both P<0.05). Female current smokers or those who quit smoking due to illness had higher risks of 1-year mortality ( HR=1.62, 95% CI: 1.17-2.23) and 5-year mortality ( HR=1.33, 95% CI: 1.06-1.67). We found no statistically significant difference in 90-day mortality between current smokers/those who quit smoking due to illness and nonsmokers. Conclusions:Smoking was associated with higher risks of requiring respiratory support and mortality in patients hospitalized with pneumonia, especially among males and heavy smokers. These findings highlight the need for targeted strategies to promote smoking cessation in patients hospitalized with pneumonia.

The aim of this paper was to investigate the serotypes,virulence factors and drug resist-ance of clinical isolates of Pasteurella rnultocida of porcine origin in recent years.Morphological screening and polymerase chain reaction(PCR)were used to isolate and identify 119 isolates from nasal swabs and lung tissue samples sent from swine farms in Zhejiang Province from 2010 to 2024.The isolates of Pasteurella multocida were subjected to capsular polysaccharide serotyping,lipopolysaccharide serotyping,virulence factor detection and drug resistance analysis by PCR and Kirby-Bauer disc agar diffusion method(K-B).The results showed that there were 64 strains(53.7％)of A-type,54 strains(45.3％)of D-type and 1 strain(0.9％)of F-type among the capsu-lar polysaccharide serotypes,and 10 strains(8.4％)of L1-type,20 strains(16.8％)of L3-type,86 strains(72.2％)of L6-type,and 3 strains(2.6％)of undetermined type among the lipopolysaccha-ride serotypes.The amplification results of 10 virulence genes showed that the detection rate of virulence genes hgbA,higbB and fimA was over 86.0％,the detection rate of toxA was 8.4％,while the virulence gene tbpA was not detected.There were also differences in the distribution vir-ulence genes in different capsular polysaccharide serotypes.Virulence factor pfhA was detected in type A and F but not in type D.The detection rate of adhesin gene tadD in serotype A(92.2％)was significantly higher than that of type D(9.3％),and,on the contrary,the detection rate of ad-hesin gene hsf-l in serotype D(90.7％)was significantly higher than that of type A(20.3％).Drug resistance analysis revealed that Pasteurella multocida showed high susceptibility to antimi-crobial drugs such as amoxicillin,ampicillin,cephalosporins,doxycycline,fosfenicol and ciprofloxa-cin,and showed strong resistance to antimicrobial drugs such as lincomycin,cotrimoxazole,genta-micin and amikacin,and there were 54 multi-drug resistant strains(78.3％).In summary,capsular polysaccharide serotypes were dominated by type A and D,lipopolysaccharide serotypes were dom-inated by L6,the distribution of some virulence genes varied greatly among different serotypes,and the proportion of multi-resistant strains was high,which provide reference for the prevention and control of this disease.

Objective:To explore the potential of the novel fibroblast activation protein (FAP)-targeted theranostic agent 68Ga/ 177Lu-1, 4, 7, 10-tetraazacyclododecane-1, 4, 7, 10-tetraacetic acid (DOTA)-2P (FAP inhibitor (FAPI)) 2 in microsatellite stable (MSS) colorectal cancer, and to evaluate the efficacy and underlying mechanism of 177Lu-DOTA-2P(FAPI) 2 in combination with immune checkpoint inhibitors (ICIs). Methods:This study was a randomized, parallel-group design. DOTA-2P(FAPI) 2 was labeled with 68Ga or 177Lu respectively. The binding performance of DOTA-2P(FAPI) 2 to FAP was validated through in vitro cell experiments. FAP-positive CT26-FAP tumor-bearing mouse model was constructed, and microPET imaging and biodistribution were performed. The in vivo antitumor efficacy was assessed for the 177Lu-DOTA-2P(FAPI) 2 monotherapy, α programmed death-ligand 1 (PD-L1) monotherapy, and the combination of 177Lu-DOTA-2P(FAPI) 2 with αPD-L1 therapy groups. Changes in the tumor microenvironment were analyzed using single-cell RNA sequencing to elucidate the mechanism of the combined treatment. Independent-sample t test was used to analyze data. Survival analysis was performed using the log-rank test. Results:The labeling yields of 68Ga/ 177Lu-DOTA-2P(FAPI) 2 were both >90%, with the radiochemical purities both >95%. In vitro cellular uptake and blocking assays showed that FAPI-46 significantly inhibited the binding of 68Ga-DOTA-2P(FAPI) 2 to FAP in CT26-FAP cells, with the cellular uptake values at 60min of (51.5±0.8)% and (1.0±0.3)%, respectively ( t=102.40, P<0.001). MicroPET imaging showed that the tumor uptake of 68Ga-DOTA-2P(FAPI) 2 remained stable even at 4 h post-injection, with a significantly higher uptake value compared to 68Ga-FAPI-46 ((7.3±1.6) vs (3.7±0.2) percentage activity of injection dose per gram of tissue (%ID/g); t=3.87, P=0.018). The biodistribution results indicated significant tumor uptake of 177Lu-DOTA-2P(FAPI) 2 even at 24 h post-injection ((4.30±0.52)%ID/g). The combination of 177Lu-DOTA-2P(FAPI) 2 and αPD-L1 achieved the 30-day survival rate of 100%, which was significantly superior to that of the control group (saline injection; χ2=9.53, P=0.002). Further mechanistic studies revealed that the combination therapy reprogramed the tumor microenvironment, enhanced anti-tumor intercellular communication, and activated signaling pathways such as Fas-FasL between T cells/natural killer (NK) cells and tumor cells, thereby synergistically inhibiting tumor progression. Conclusions:68Ga/ 177Lu-DOTA-2P(FAPI) 2 exhibits theranostic potential for MSS colorectal cancer. The combination of 177Lu-DOTA-2P(FAPI) 2 with ICIs may significantly prolong survival, demonstrating significant potential for clinical translation.

BACKGROUND:Based on different algorithms of machine learning,how to carry out clinical research on lumbar disc herniation with the help of various algorithmic models has become a trend and hot spot in the development of intelligent medicine at present. OBJECTIVE:To review the characteristics of different algorithmic models of machine learning in the diagnosis and treatment of lumbar disc herniation,and summarize the respective advantages and application strategies of algorithmic models for the same purpose. METHODS:The computer searched PubMed,Web of Science,EMBASE,CNKI,WanFang,VIP and China Biomedical(CBM)databases to extract the relevant articles on machine learning in the diagnosis and treatment of lumbar disc herniation.Finally,96 articles were included for analysis. RESULTS AND CONCLUSION:(1)Different algorithm models of machine learning provide intelligent and accurate application strategies for clinical diagnosis and treatment of lumbar disc herniation.(2)Traditional statistical methods and decision trees in supervised learning are simple and efficient in exploring risk factors and establishing diagnostic and prognostic models.Support vector machine is suitable for small data sets with high-dimensional features.As a nonlinear classifier,it can be applied to the recognition,segmentation and classification of normal or degenerative intervertebral discs,and to establish diagnostic and prognostic models.Ensemble learning can make up for the shortcomings of a single model.It has the ability to deal with high-dimensional data and improve the precision and accuracy of clinical prediction models.Artificial neural network improves the learning ability of the model,and can be applied to intervertebral disc recognition,classification and making clinical prediction models.On the basis of the above uses,deep learning can also optimize images and assist surgical operations.It is the most widely used model with the best performance in the diagnosis and treatment of lumbar disc herniation.The clustering algorithm in unsupervised learning is mainly used for disc segmentation and classification of different herniated segments.However,the clinical application of semi-supervised learning is relatively less.(3)At present,machine learning has certain clinical advantages in the identification and segmentation of lumbar intervertebral discs,classification and grading of the degenerative intervertebral discs,automatic clinical diagnosis and classification,construction of the clinical predictive model and auxiliary operation.(4)In recent years,the research strategy of machine learning has changed to the neural network and deep learning,and the deep learning algorithm with stronger learning ability will be the key to realizing intelligent medical treatment in the future.

Objective    To summarize the surgical strategy of reoperative aortic root replacement after prior aortic valve replacement (AVR), and analyze the early and mid-term outcomes. Methods    From April 2013 to January 2020, 75 patients with prior AVR underwent reoperative aortic root replacement in Fuwai Hospital. There were 54 males and 21 females with a mean age of 56.4±12.7 years. An emergent operation was performed in 14 patients and an elective operation in 61 patients. The indications were aortic root aneurysm in 38 patients, aortic dissection involving aortic root in 30 patients, root false aneurysm in 2 patients, prosthesis valve endocarditis with root abscess in 2 patients, and Behçet's disease with root destruction in 3 patients. The survival and freedom from aortic events during the follow-up were evaluated with the Kaplan-Meier survival curve and the log-rank test. Results    The operative procedures included prosthesis-sparing root replacement in 45 patients, Bentall procedure in 26 patients, and Cabrol procedure in 4 patients. Operative mortality was 1.3% (1/75). A composite of adverse events occurred in 5 patients, including operative death (n=1), stroke (n=1), and acute renal injury necessitating hemodialysis (n=3). The follow-up was available for all 74 survivors, with the mean follow-up time of 0.5-92.0 (30.3±25.0) months. Four late deaths occurred during the follow-up. The survival rate at 1 year, 3 years and 6 years was 97.2%, 91.4% and 84.4%, respectively. Aortic events developed in 2 patients. The rate of freedom from aortic events at 1 year, 3 years, and 6 years was 98.7%, 95.0% and 87.7%, respectively. There was no difference in rate of survival or freedom from aortic events between the elective patients and the emergent patients. Conclusion    Reoperative aortic root replacement after prior AVR can be performed to treat the root pathologies after AVR, with acceptable early and mid-term outcomes.