OBJECTIVES: To investigate the application value of targeted next-generation sequencing (tNGS) in the etiological diagnosis of moderate to severe respiratory distress syndrome (RDS) in neonates. METHODS: A prospective randomized controlled trial was conducted, enrolling 81 term and late-preterm neonates with moderate to severe RDS admitted to Fujian Children's Hospital between December 2023 and December 2024. Patients were randomly assigned to the conventional microbiological test (CMT) group (n=42) or the tNGS group (n=39). For routine pathogen detection, bronchoalveolar lavage fluid was obtained via bronchoscopy, and lower respiratory tract specimens were collected via the endotracheal tube; all specimens underwent culture, and some specimens additionally underwent polymerase chain reaction or antigen testing. In the tNGS group, tNGS was performed in addition to routine pathogen detection on the same specimen types. The detection rate of pathogens, the detection rate of co-infections, and the duration of antibiotic use were compared between the two groups. RESULTS: The pathogen detection rate in the tNGS group (18/39, 46%) was significantly higher than that in the CMT group (8/42, 19%) (P=0.009). The co-infection detection rate was 13% (5/39) in the tNGS group, while no co-infections were identified in the CMT group (P=0.024). Regarding treatment, the duration of antibiotic use in the tNGS group was shorter than that in the CMT group [(12±4) days vs (15±5) days, P=0.003]. CONCLUSIONS tNGS significantly improves the pathogen detection rate in neonates with moderate to severe RDS and offers advantages in the rapid identification of co-infections and reduction of antibiotic treatment duration, suggesting it has clinical utility and potential for wider adoption.
Humans ; Prospective Studies ; Infant, Newborn ; Female ; Respiratory Distress Syndrome, Newborn/etiology* ; Male ; High-Throughput Nucleotide Sequencing/methods*

BACKGROUND: The mechanisms distinguishing metabolically healthy from unhealthy phenotypes within the same BMI categories remain unclear. This study aimed to investigate the associations between regional fat distribution and metabolically unhealthy phenotypes in Chinese adults across different BMI categories. METHODS: This cross-sectional study involving 11833 Chinese adults aged 20 years and older. Covariance analysis, adjusted for age, compared the percentage of regional fat (trunk, leg, or arm fat divided by whole-body fat) between metabolically healthy and unhealthy participants. Trends in regional fat percentage with the number of metabolic abnormalities were assessed by the Jonckheere-Terpstra test. Odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated by logistic regression models. All analyses were performed separately by sex. RESULTS: In non-obese individuals, metabolically unhealthy participants exhibited higher percent trunk fat and lower percent leg fat compared to healthy participants. Additionally, percent trunk fat increased and percent leg fat decreased with the number of metabolic abnormalities. After adjustment for demographic and lifestyle factors, as well as BMI, higher percent trunk fat was associated with increased odds of being metabolically unhealthy [highest vs. lowest quartile: ORs (95%CI) of 1.64 (1.35, 2.00) for men and 2.00 (1.63, 2.46) for women]. Conversely, compared with the lowest quartile, the ORs (95%CI) of metabolically unhealthy phenotype in the highest quartile for percent arm and leg fat were 0.64 (0.53, 0.78) and 0.60 (0.49, 0.74) for men, and 0.72 (0.56, 0.93) and 0.46 (0.36, 0.59) for women, respectively. Significant interactions between BMI and percentage of trunk and leg fat were observed in both sexes, with stronger associations found in individuals with normal weight and overweight. CONCLUSIONS Trunk fat is associated with a higher risk of metabolically unhealthy phenotype, while leg and arm fat are protective factors. Regional fat distribution assessments are crucial for identifying metabolically unhealthy phenotypes, particularly in non-obese individuals.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Adipose Tissue ; Body Fat Distribution ; Body Mass Index ; China/epidemiology* ; Cross-Sectional Studies ; Health Surveys ; Phenotype

Four cases of typical faults of Siemens MOBILETT XP Digital bedside DR were introduced.The causes for the problems were analyzed,and some countermeasures were put forward accordingly.References were provided for medical engineers to treat similar faults.[Chinese Medical Equipment Journal,2025,46(3):118-120]

Objective:To develop and validate a machine learning (ML) noninvasive model based on routine laboratory parameters to preoperatively predict the microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC).Methods:A total of 629 HCC patients who underwent hepatectomy at the First Affiliated Hospital of Fujian Medical University between January 2019 and December 2023 were retrospectively enrolled in this study and were divided chronologically into a training set ( n=464) and internal validation set ( n=165). A cohort with 190 HCC patients from Fujian Provincial Hospital were used as an external validation set. Preoperatively demographic features, tumor size and routine laboratory data were collected. All patients were divided into MVI-positive or MVI-negative group. The Boruta algorithm and LASSO regression algorithm were used to screen out related features in the training set. Eight different ML algorithms including multivariate logistic regression, decision tree (DT), random forest (RF), extreme gradient boosting (XGboost), k-nearest neighbor (KNN), support vector machine (SVM), light gradient boosting machine (LGBM) and Naive Bayes were used to construct the prediction models. The predictive performances of these models on training and internal validation sets were evaluated by the receiver operating characteristic (ROC) curve with the area under the curve (AUC). The ML model with the highest AUC values was defined as the optimal model and its performance was further validated in the external validation set. The calibration curve showed that the probability value curve was close to the actual occurrence probability curve, and the DCA showed that it could be applied within the threshold probability range of 0.3-0.8 to obtain net benefits. Results:After screening, eight parameters including α-fetoprotein (AFP), protein induced by vitamin K absence Ⅱ (PIVKA-Ⅱ), tumor size, eosinophil count, neutrophil count, creatinine, ApoA1 and total bilirubin were finally selected for the construction of the preoperative prediction model for MVI in HCC. Among all the tested eight ML algorithms, XGboost obtained the optimal performance with an AUC of 0.820 in training set, an AUC of 0.803 in internal testing set and an AUC of 0.758 in external testing set. Further stratified analysis showed that the AUC for preoperatively predicting MVI by XGboost was 0.817 for HCC patients with positive hepatitis B surface antigen, 0.779 for male patients and 0.790 for elder patients. The calibration curves showed good agreement between observed and predicted values and the decision curve analysis curve showed relatively higher net benefits.Conclusions:We successfully established and verified a novel XGboost model based on eight routine laboratory parameters with relatively high and reliable predictive accuracy to preoperatively predict MVI in HCC.

Objective:To investigate the effect of "four-staff co-management" follow-up mode on risk factor control and medium-term prognosis improvement in patients with coronary heart disease after percutaneous coronary intervention (PCI).Methods:This was a intervention study. Patients with coronary heart disease who were admitted to the Xiamen Cardiovascular Hospital of Xiamen University from June 2021 to January 2022 and successfully discharged after PCI were included. According to the different types of follow-up after discharge, patients were divided into the traditional follow-up group and the "four-staff co-management" follow-up group. The "four-staff co-management" follow-up mode means that specialists, specialist managers in third-level A hospitals and general practitioners and health managers in basic hospitals were jointly responsible for post-discharge follow-up of PCI patients. Baseline clinical data were collected. The primary endpoints were the rate of compliance of coronary heart disease risk factor control at 12 months after surgery, the rate of secondary surgery, and the incidence of mid-term major adverse cardiovascular and cerebrovascular events (MACCE). Unplanned secondary PCI included symptom-driven secondary PCI and asymptomatic secondary PCI. MACCE includes myocardial infarction, hospitalization for heart failure, stroke, major bleeding, all-cause death, and composite endpoints including these events.Results:A total of 2 181 patients were enrolled, including 1 097 patients in the traditional follow-up group and 1 084 patients in the "four-staff co-management" follow-up group. At baseline, there were no statistically significant differences in gender, age, discharge diagnosis, co-existing diseases, echocardiographic indexes, and coronary artery lesions between the two groups (all P>0.05). There were no significant differences between the two groups in total PCI stent length, maximum internal diameter of stent, proportion of patients using drug balloon, proportion of patients with a planned second surgery during hospitalization, and discharge with drugs (all P>0.05). Twelve months after PCI, the reduction in HbA1c and low-density lipoprotein cholesterol was greater in the "four-staff co-management " follow-up group than that in the traditional follow-up group (all P<0.05), and the rate of reaching the standard for low-density lipoprotein cholesterol was higher than that in the traditional follow-up group ( P=0.001), but there was no statistical significance between the two groups for blood pressure and blood glucose (all P>0.05). During the follow-up period, the proportion of symptom-driven second operation patients was lower in the "four-staff co-management" follow-up group than that in the traditional follow-up group ( P<0.001), and there was no significant difference in the proportion of asymptomatic second operation patients between the two groups ( P=0.191). The proportion of hospitalized patients with heart failure in the "four-staff co-management" follow-up group was lower than that in the traditional follow-up group ( P=0.029), and there was no significant difference in the proportion of myocardial infarction, cerebral infarction, cerebral hemorrhage, massive hemorrhage, death and complex endpoint events between the two groups (all P>0.05). Conclusion:The "four-staff co-management" follow-up mode can effectively improve the control of risk factors and medium-term prognosis in patients with coronary heart disease after PCI.

Objective To explore the impact of admission modes on the reperfusion time and short-term prognosis of patients with acute ST-segment elevation myocardial infarction(STEMI).Methods 497 patients who visited the Chest Pain Center of Xiamen Cardiovascular Hospital of Xiamen University from January 2023 to November 2024 and were diagnosed with STEMI were included.All patients received direct percutaneous coronary intervention.According to admission modes,the patients were divided into the self-referral group(122 cases),emergency medical service group(EMS)(51 cases)and transfer PCI group(324 cases).The basic characteristics,reperfusion time,complications between group were compared.Results The age of the patients in this study was(58.64±13.62)years old,and there were 423 male cases(85.11%).Compared with the self-referral group and the EMS group,the time of door-wire in transfer PCI group was shorter[35(29,45)min vs.43(35,53)min vs.43(33,48)min,P＜0.001],but the time of first medical contact-wire was longer[123(80,192)min vs.43(35,52)min vs.57(51,76)min,P＜0.001].Compared with the self-referral group and the transfer PCI group,the time of symptom-to-first medical contact and the time of symptom-to-wire in EMS group were both shorter,which were[55(32,136)min vs.185(116,360)min vs.120(60,236)min,P＜0.001]and[136(101,188)min vs.228(169,413)min vs.282(190,400)min,P＜0.001].The incidence of infections in the transfer PCI group was lower than that in the self-referral group(12.65%vs.22.95%,P＜0.05).Conclusions To comprehensively enhance the treatment effect,it is necessary to prioritize the promotion and continuous optimization of the response process of EMS,simultaneously strengthen the standardized collaboration of referral,and enhance the identification ability of STEMI through public education to reduce the delay of self-referral patients..

Objective To establish a stable,reliable,and clinically relevant porcine model of endotoxin-induced acute respiratory distress syndrome(ARDS).Methods Ten 8-month-old male Bama minipigs were deeply sedated,followed by invasive mechanical ventilation and electrocardiographic monitoring.Lipopolysaccharide(LPS)was intravenously pumped at 600 μg/(kg·h)for 3 hours,then maintained at 15 μg/(kg·h)thereafter.Dynamic monitoring was performed at five time points after LPS injection(LPS 0,1,3,5,and 8 h),including arterial blood gas analysis and chest computed tomography(CT)scans.Pathological examination of lung tissues obtained via bronchoscopic biopsy(HE staining and transmission electron microscopy)was conducted.These indicators were comprehensively used to evaluate the success of the animal model.Results At 5 hours after LPS administration,8 minipigs developed symptoms such as skin cyanosis,elevated body temperature,and respiratory distress.The oxygenation index decreased to<300 mmHg.Chest CT scans showed diffuse pulmonary infiltrates.Histopathology revealed alveolar edema and hyaline membrane formation.Transmission electron microscopy demonstrated disruption of pulmonary blood-air barrier,depletion of lamellar bodies in type Ⅱ pneumocytes,inflammatory cell infiltration,and exudation of plasma proteins and fibrin.Compared with LPS 0 h,at LPS 8 h,the oxygenation index and arterial blood pH were significantly decreased(P<0.001),while blood lactic acid and serum potassium were significantly increased(P<0.05);serum calcium and base excess were significantly decreased(P<0.05),and the lung injury score based on HE-stained lung sections was significantly increased(P<0.01).Conclusion The porcine ARDS model established by continuous LPS injection can dynamically simulate the pathophysiological characteristics and typical pathological manifestations of clinical septic ARDS,making it an effective tool to study the pathogenesis,prevention,and treatment strategies of septic ARDS.

This article explores the construction and practice of the"Party Building+Health Science Popularization"model,using the"Yixian Health Science Popularization Guangdong Tour"campaign conducted by Sun Yat-sen Memorial Hospital as a case study.The initiative has achieved remarkable results.Additionally,it summarizes innovative measures,as well as uni-versal and exemplary experiences,providing new insights and pathway recommendations for public hospitals to develop the"Party Building+Health Science Popularization"model.

To analyze the epidemiological characteristics of COVID-19 in Fujian Province from the 49th week of 2022 to the 5th week of 2023,after further optimization of China's COVID-19 prevention and control measures on December 7,2022(the 49th week of 2022),this study used multi-dimensional surveillance data to dynamically assess population infection levels and their changing trends.The aim of the study was to provide a scientific basis for early warning of epidemic risk,medical resource allocation,and evalu-ation of socio-economic impact.A multi-source data surveillance system was constructed,encompassing surveillance of fever clinics at medical institutions(weekly collection of visits,positive nucleic acid and antigen test results,inpatients,and severe cases in sec-ondary or above hospitals),population nucleic acid test monitoring(weekly person-times and positivity rates of single-tube tests from the provincial system),sentinel hospital monitoring(weekly proportion of influenza-like illness visits at 18 sentinel hospitals and re-lated viral testing data),and monitoring of novel coronavirus variants(weekly systematic collection of genomic sequences of local and imported cases).Line charts were plotted weekly,and time series analysis,molecular epidemiological methods,and an improved SEIAR model were used to simulate epidemic spread.During the study period,the COVID-19 epidemic in Fujian Province exhibited three distinct stages.In the infection peak stage(52nd week of 2022),the provincial fever clinic visits reached 606 893 person-times,and a 49.2%positivity rate in population single-tube nucleic acid tests and 63.8%positivity rate in sentinel hospital monitoring were observed.In the medical load peak stage(2nd week of 2023),274 460 inpatients and 28 487 severe cases were recorded.In the epidemic decline stage(4th to 5th weeks of 2023),fever clinic visits decreased by 96.3%with respect to the peak,the single-tube nucleic acid test positivity rate decreased to 6.3%,and the sentinel hospital COVID-19 nucleic acid test positivity rate was 6.4%.All 508 sequenced local cases were Omicron variants,predominantly BA.5.2 and its sub-lineages(67.4%).Among 56 imported se-quenced cases,BA.5.2 and its sub-lineages accounted for 50.0%,and 16.1%comprised nine variants of interest including XBB and BQ.The model predicted the infection peak in the 52nd week of 2022,whereas the hospitalization peak lagged by approximately 10.6 days.Multi-source data monitoring revealed a three-stage development of the COVID-19 epidemic in Fujian.The BA.5.2 strain was dominant during the epidemic.The combination of multi-source monitoring data and modeling provides important references for epi-demic prevention and control,and highlights the need to improve the monitoring system in follow-up.

This article explores the construction and practice of the"Party Building+Health Science Popularization"model,using the"Yixian Health Science Popularization Guangdong Tour"campaign conducted by Sun Yat-sen Memorial Hospital as a case study.The initiative has achieved remarkable results.Additionally,it summarizes innovative measures,as well as uni-versal and exemplary experiences,providing new insights and pathway recommendations for public hospitals to develop the"Party Building+Health Science Popularization"model.