Objective: To investigate the epidemiological characteristics and spatial-temporal clustering of severe fever with thrombocytopenia syndrome (SFTS) in Huai'an City, Jiangsu Province from 2011 to 2024, so as to provide a basis for optimizing local SFTS prevention and control strategies, and identifying high-risk areas and key populations. Methods: Data on SFTS incidence and deaths in Huai'an City from 2011 to 2024 were collected from the Infectious Disease Reporting Information System of the Chinese Disease Prevention and Control Information System. The reported incidence, mortality, and fatality rates were calculated. Descriptive analysis was performed on temporal, population, and regional distribution. The average annual percent change (AAPC) was used to analyze the trend in the reported incidence of SFTS. Global and local spatial autocorrelation analyses were employed to examine the spatial distribution patterns and spatial association patterns of SFTS incidence while spatio-temporal scanning analyses was used to assess the spatial-temporal clustering of SFTS. Results: A total of 337 SFTS cases were reported in Huai'an City from 2011 to 2024, with the reported incidence rising from 0.17/100 000 to 1.88/100 000. There were 20 deaths, with an average annual mortality of 0.03/100 000, and a fatality rate of 5.93%. The incidence showed obvious seasonality, with a peak in May and June (148 cases, accounting for 43.92%). Spring and summer accounted for 107 cases (31.75%) and 159 cases (47.18%), respectively. The reported SFTS cases were mainly male, farmers, and individuals aged ≥41 years, accounting for 56.38%, 79.23%, and 96.74%, respectively. The population distribution of death cases was basically consistent with that of incident cases. Xuyi County was a high-incidence area, with a total of 332 reported cases, accounting for 98.52%. All death cases were reported in this county. Spatial autocorrelation analyses revealed a positive spatial correlation in SFTS incidence from 2019 to 2024, with Moran's I values ranging from 0.214 to 0.336 (all P<0.05). Heqiao Town, Tianquanhu Town, and Guiwu Town in Xuyi County were identified as high-high clustering areas. Spatio-temporal scanning analyses showed that cluster 1 was consistent with the high-high clustering areas, with an aggregation time from the second quarter of 2019 to the second quarter of 2022. Conclusions From 2011 to 2024, the reported incidence of SFTS in Huai'an City showed an upward trend, with a high incidence in spring and summer. Males, farmers, and the middle-aged and elderly population were the key populations for prevention and control. Xuyi County was the key area for prevention and control.

Objective To analyze the epidemiological characteristics of hepatitis E (HE) in Huai'an City from 2015 to 2024, and construct and validate the prediction effect of the Seasonal Autoregressive Integrated Moving Average (SARIMA) model, and to provide a scientific basis for HE prevention and control. Methods Data of reported HE cases in Huai'an City from January 2015 to December 2024 were extracted from the National Disease Control and Prevention Information System. Descriptive epidemiological methods were used to analyze the temporal, regional and population distribution characteristics of HE incidence. After data preprocessing, stationarity test and randomness test, the SARIMA model was constructed. The optimal model was selected by minimizing the Akaike Information Criterion (AIC). The model performance was evaluated by adjusted R-squared (Adj R²) and root mean square error (RMSE). The monthly incidence rate of HE in Huai'an City in 2025 was predicted and compared with the actual incidence data to validate the model. Results A total of 1 713 HE cases were reported in Huai'an City from 2015 to 2024, showing a fluctuating upward trend. Huaiyin District (339 cases) and Lianshui County (334 cases) were high-incidence areas. The cases were mainly concentrated in people aged 45 and above (83.3%), males (gender ratio 2.37:1) and farmers (70.8%). The optimal model was SARIMA (1,1,1)×(2,0,1)₁₂, with residual as white noise sequence. There was no statistical difference between the actual incidence and predicted value from January to August 2025 (P>0.05). Conclusion HE incidence in Huai'an has obvious aggregation and temporal fluctuation characteristics. The SARIMA model has a good prediction effect, which can provide reference for formulating targeted prevention and control strategies.

BACKGROUND: Physical inactivity is a significant yet underappreciated risk factor for cardiovascular disease (CVD), particularly among older adults. The aim of this study was to analyze the global burden of CVD attributable to physical inactivity in individuals aged 70 years and older from 1990 to 2021 using the Global Burden of Disease data. METHODS: We assessed trends in disability-adjusted life years (DALYs) and deaths, decomposed changes into population growth, aging, and epidemiological factors, and examined health inequalities across sociodemographic index (SDI) regions. RESULTS: From 1990 to 2021, a substantial rise in DALYs was observed, especially in low and middle SDI regions, with a 120.06% increase in the low SDI region, but a 23.10% decline in the high SDI region. Decomposition analysis identified population aging and growth as primary drivers for the burden, contributing 66.39% and 83.56% to the increase in middle and low SDI regions, respectively. By contrast, epidemiological improvements alleviated burden in the high SDI region (54.91%). Gender disparities persisted, with women experiencing a higher burden. Inequality analysis indicated a shift in CVD burden towards the low SDI region, with declining concentration indices for DALYs (-0.03 to -0.13) and deaths (-0.07 to -0.15). The Bayesian age-period-cohort projections suggest continued increases in DALYs and deaths through 2050, with women disproportionately affected. CONCLUSIONS These findings highlight the urgent need for targeted interventions promoting physical activity, improving healthcare access, and implementing region-specific prevention strategies.

OBJECTIVE: To explore the displacement and pressure distribution of American Chiropractic in a model of third lumbar syndrome based on finite element analysis. METHODS: On March 2021, CT and MRI images of a 23-year-old male patient with right third lumbar syndrome were selected. A 3D stl model was established using Mimics and CATIA, and the data was imported into Hypermesh, Abaqus & ANSYS. The elastic modulus and Poisson's ratio of the affected side material were adjusted to establish its finite element model. Based on the comparison of the operating positions and routines of the American Chiropractic and the lumbar spine oblique pull method, but with differences in the focus and direction of force, the experimental group simulated the American Chiropractic with the healthy side (left side) lying position of the model. The upper endplate of L₃ and the lower part below L₃ twisted accordingly with the body position, we applied a vertical forward thrust of 246 N to the plane formed by the L₄, L₅ spinous processes and L₄ upper articular processes;The control group simulates the oblique pull method of the lumbar spine, requiring the model to lie on the healthy side (left side), fix the upper endplate of L₄, and perform a horizontal rotation along the longitudinal axis of L₃ vertebral body. At this time, the contact force in the upward direction is also set to 246 N. Compare the displacement and stress differences between the L₁-L₅ intervertebral bodies, intervertebral discs, articular processes, and transverse process muscles in two intervention models. RESULTS: ① Under safe load conditions, a test force of 246 N was applied to the model, and the maximum vertebral displacement occurred on the right side of the L₃ vertebral body (1.197 mm) after manual intervention in the control group. The vertebral displacement between L₁-L₅ induced by manual intervention in the experimental group was smaller than that of the control group's manual intervention (P<0.05). ② The maximum vertebral body stress occurred on the right side of the L₃ vertebral body after manual intervention in the control group (98.425 MPa). The stress on each vertebral body formed by the experimental group's manual intervention was lower than that of the control group's manual intervention (P<0.05). ③The maximum intervertebral disc stress occurred on the right side of the L_2,3 intervertebral disc (6.282 MPa) after manual intervention in the control group. ④ The maximum joint process stress occurred on the right side of the L₄ upper joint process after manual intervention in the experimental group (1.587 MPa). The joint process stress on the left side below L₁ and the left side above and below L₂ induced by manual intervention in the experimental group was lower than that of the control group (P<0.05). ⑤The maximum stress on the intertransverse process muscle was observed at the right lateral L₃ process end (31.960 MPa) of L_3,4 in the control group after manual intervention. The stress on the L_2,3 and L_4,5 segments of the intertransverse process muscle induced by manual intervention in the experimental group was lower than that of the control group's manual intervention (P<0.05). CONCLUSION The mechanical feedback of the L₁-L₅ vertebral body, the lower left side of the articular process L₁, the upper and lower left side of the articular process L₂, and the L_2,3 and L_4,5 segments of the transverse process muscle in the model indicates that performing American Chiropractic for the treatment of third lumbar transverse process syndrome can accurately hit the target pain point and allow the patient's tissue to form a low stress and low tension state after manual operation, thereby reducing the possibility of tissue damage caused by hypertonia after intervertebral joint movement, making it relatively safe. The application of American Chiropractic will be a new supplement to the traditional treatment plan for third lumbar transverse process syndrome.
Humans ; Finite Element Analysis ; Male ; Lumbar Vertebrae/physiopathology* ; Biomechanical Phenomena ; Young Adult ; Manipulation, Chiropractic ; Adult ; Tomography, X-Ray Computed ; Magnetic Resonance Imaging

This study aimed to investigate the associations between the post-wash total progressively motile sperm count (TPMSC) in the first intrauterine insemination (IUI) cycle and pregnancy outcomes of the second IUI cycle. Data were retrieved from the clinical database at the Reproductive Center of Peking University Third Hospital (Beijing, China) between January 2011 and December 2022. Couples were included in this retrospective cohort study if they had unexplained or mild male factor infertility and were treated with IUI for two consecutive cycles using the same protocol. A total of 8290 couples were included in the analysis. The mean ± standard deviation (s.d.) age of women was 32.0 ± 3.5 years. We categorized groups based on the post-wash TPMSC (×10 6 ) levels in the first IUI cycle: group 1 (0 < TPMSC < 1, n = 1290), group 2 (1 ≤ TPMSC < 2, n = 863), group 3 (2 ≤ TPMSC < 3, n = 800), group 4 (3 ≤ TPMSC < 4, n = 783), group 5 (4 ≤ TPMSC < 5, n = 1541), group 6 (5 ≤ TPMSC < 6, n = 522), group 7 (6 ≤ TPMSC < 7, n = 547), group 8 (7 ≤ TPMSC < 8, n = 175), group 9 (8 ≤ TPMSC < 9, n = 556), group 10 (9 ≤ TPMSC < 10, n = 192), and group 11 (TPMSC ≥ 10), n = 1021). The primary outcome was live birth rate of the second IUI cycle. Live birth rates were 7.9%, 5.8%, 7.6%, 7.4%, 7.3%, 8.4%, 7.5%, 7.4%, 8.8%, 8.9%, and 7.6% in each group, respectively. There were no statistically significant differences in clinical pregnancy rates or live birth rates between any groups and those with the post-wash TPMSC <1 × 10 6 . In an IUI program for unexplained and mild male factor infertility, the post-wash TPMSC in the first IUI cycle was not significantly associated with the live birth rate in the second IUI cycle.
Humans ; Female ; Male ; Pregnancy ; Adult ; Retrospective Studies ; Sperm Count ; Pregnancy Rate ; Sperm Motility/physiology* ; Insemination, Artificial/methods* ; Pregnancy Outcome ; Infertility, Male/therapy* ; Insemination, Artificial, Homologous ; Live Birth

OBJECTIVES: To evaluate the clinical value of next-generation sequencing (NGS) in neonatal disease screening, particularly its advantages when combined with tandem mass spectrometry (MS/MS). METHODS: A prospective study was conducted involving blood samples from 1 999 neonates born at the Shenzhen Guangming District People's Hospital, between May and August 2021. All samples were initially screened using MS/MS and fluorescence immunoassay, followed by NGS to detect high-frequency variation sites in 135 related pathogenic genes. Suspected positive variants were validated using Sanger sequencing or multiplex ligation-dependent probe amplification in family studies. RESULTS: No confirmed positive cases were found in the MS/MS analysis of the 1 999 neonates. Genetic screening identified 58 positive cases (2.90%), 732 carriers of pathogenic genes (36.62%), and 1 209 negative cases (60.48%). One case of neonatal intrahepatic cholestasis was diagnosed (0.05%, 1/1 999). Fluorescence immunoassay identified 39 cases of glucose-6-phosphate dehydrogenase (G6PD) deficiency (1.95%, 39/1 999), while genetic screening identified 43 cases of G6PD deficiency (2.15%, 43/1 999). The fluorescence immunoassay also detected 6 cases of hyperthyrotropinemia (0.30%, 6/1 999), all of whom carried DUOX2 gene variants. The top ten pathogenic gene carrier rates were G6PD (12.8%), DUOX2 (8.7%), HBB (8.2%), ATP7B (6.6%), GJB2 (5.7%), SLC26A4 (5.6%), PAH (5.6%), ACADSB (4.6%), SLC25A13 (4.2%), and SLC22A5 (4.1%). CONCLUSIONS NGS can serve as an effective complement to MS/MS, significantly improving the detection rate of inherited metabolic disorders in neonates. When combined with family validation, it enables precise diagnosis, particularly demonstrating complementary advantages in screening for monogenic diseases such as G6PD deficiency.
Humans ; Infant, Newborn ; High-Throughput Nucleotide Sequencing/methods* ; Neonatal Screening/methods* ; Tandem Mass Spectrometry ; Prospective Studies ; Female ; Male ; Infant, Newborn, Diseases/diagnosis* ; Genetic Testing

OBJECTIVE: Xuebijing injection has been recommended as a therapeutic approach for individuals with severe and critical COVID-19. This study aims to explore the correlation of neutrophil to lymphocyte platelet ratio (NLPR) with the severity and prognosis of COVID-19, and the effect of XBJ on the prognosis of patients with COVID-19 in different inflammatory states. METHODS: This was a retrospective study conducted at Wuhan Union Hospital in China. COVID-19 patients admitted between November 1, 2022 and February 1, 2023 were included. In predicting prognosis for individuals with COVID-19, new inflammatory indicators were used, and their prognostic value was assessed by using Cox regression models and receiver operating characteristic curves. Furthermore, a calculation was made to determine the cutoff value for NLPR. Relative risk and Cox regression models were used to examine the effects of Xuebijing injection on prognosis in patient cohorts that had been stratified by the NLPR cutoff. RESULTS: This research included 455 participants with COVID-19, with a mean age of 72 years. Several inflammatory indicators were found to be strongly correlated with prognosis, and NLPR shows the greatest predictive power. Patients with NLPR > 3.29 exhibited a mortality rate of 17.3%, which was 6.2 times higher than in patients with NLPR ≤ 3.29. Importantly, providing Xuebijing injection to patients with NLPR > 3.29 was associated with a lower risk of 60-day all-cause mortality. However, there was no discernible improvement in survival among patients with NLPR ≤ 3.29 who received Xuebijing injection. CONCLUSION NLPR is the most reliable inflammatory marker for predicting prognosis among individuals with COVID-19, and can accurately identify individuals who may benefit from Xuebijing injection. Please cite this article as: Liao M, Zhang LT, Bai LJ, Wang RY, Liu Y, Han J, Liu LH, Qi BL. Xuebijing injection reduces COVID-19 patients mortality as influenced by the neutrophil to lymphocyte platelet ratio. J Integr Med. 2025; 23(3): 282-288.
Humans ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Female ; Retrospective Studies ; Aged ; Neutrophils ; COVID-19 Drug Treatment ; COVID-19/blood* ; Middle Aged ; Prognosis ; Lymphocytes ; Blood Platelets ; Platelet Count ; SARS-CoV-2 ; Aged, 80 and over ; Adult

Collagen, a vital matrix protein for various tissue and functions in animals, is widely applied in biomaterials. In type Ⅰ collagen, missense mutations of glycine (Gly) in the Gly-Xaa-Yaa triplet of the triple helix are a major cause of osteogenesis imperfecta (OI). Clinical manifestations exhibit marked heterogeneity, spanning a broad disease spectrum from mild skeletal fragility (Type Ⅰ) to severe limb deformities (Type Ⅲ) and perinatal lethal forms (Type Ⅱ). This study utilized recombinant collagen as a model to further elucidate whether Gly→Ala/Val mutations at the N-terminus of the integrin-binding sequence GFPGER affect collagen structure and function, and to explore the underlying mechanisms by which missense mutations impact the biological function of collagen. By introducing Ala and Val substitutions at seven Gly positions N-terminal to the GFPGER sequence, we systematically assessed the effects of these amino acid replacements on the triple-helical structure, thermal stability, integrin-binding ability, and cell adhesion of recombinant collagen. All constructs formed a stable triple-helix structure, with slightly compromised thermal stability. Gly→Val substitutions increased the susceptibility of recombinant collagen to trypsin, which suggested local conformational perturbations in the triple helix. In addition, Gly→Val substitutions significantly reduced the integrin-binding affinity and decreased HT1080 cell adhesion, with the effects stronger than Gly→Ala substitutions. Compared with Gly→Ala substitutions, substitution of Gly with the larger residue Val had enhanced negative effects on the structure and function of recombinant collagen. These findings provide new insights into the molecular mechanisms of osteogenesis imperfecta and offer theoretical references and experimental foundations for the design of collagen sequences and the development of collagen-based biomaterials.
Recombinant Proteins/biosynthesis* ; Glycine/genetics* ; Humans ; Osteogenesis Imperfecta/genetics* ; Integrins/metabolism* ; Collagen/metabolism* ; Collagen Type I/metabolism* ; Amino Acid Substitution ; Mutation ; Mutation, Missense

Objective:This study aims to develop a laboratory-based predictive model for early neurological deterioration (END) in patients with acute cerebral infarction (ACI) using baseline data collected at hospital admission.Methods:This study was a retrospective cohort study. Clinical and baseline laboratory test data from 502 patients with ACI admitted to the Department of Neurology at our hospital between January 1, 2022 and May 31, 2025. Of these patients, 313 were male and 189 were female, with a median age of 67 years (interquartile range: 58-73). Patients were classified into an END group and a non-END group according to the occurrence of END within 7 days of admission. Subsequently, using the caret package in R (version 4.4.2), the dataset was randomly divided into a training set ( n=351) and a validation set ( n=151) at a 7∶3 ratio, with END status as the stratification variable and a fixed random seed to ensure reproducibility. Following baseline characteristic comparisons between groups, these datasets were used for model development and validation, respectively. The differences in clinical indicators between the two patients groups were assessed using the chi-square test and the Wilcoxon rank sum test. In the training group, Lasso regression was utilized to identify variables significantly associated with END. Seven machine learning algorithms-decision tree (DT), random forest (RF), light gradient boosting machine (LGBM), extreme gradient boosting (XGB), K-nearest neighbors (KNN), support vector machine (SVM), and logistic regression (LR)-were employed to develop predictive models. The optimal hyperparameters were determined via grid search integrated with 5-fold cross-validation. The final algorithm was selected based on comprehensive model performance evaluation. Additionally, clinical data of 79 patients with ACI, collected between June 1 to August 31, 2025, were compiled as an independent test set for external validation. The cohort comprised 49 males and 30 females, with a median age of 68 years (interquartile range: 57-72). The SHapley Additive exPlanations (SHAP) method was employed to access feature importance and model interpretability. SHAP dependence plots and interaction plots were utilized to emplore the nonlinear relationships and interaction effects among the featurevariables. Results:Among the 502 patients, 166 experienced END during 7 days of hospitalization. Lasso regression identified nine significant predictors: history of hyperlipidemia, admission NIHSS score, lymphocyte-to-monocyte ratio (LMR), hemoglobin, D-dimer, albumin, neuron-specific enolase (NSE), homocysteine (HCY), and vitamin B12. The area under the receiver operating characteristic curve (AUC) for the seven machine learning models ranged from 0.709 to 0.946. The XGB model achieved the highest predictive performance, with an AUC of 0.946 (95% CI 0.924-0.960) in the training cohort and 0.867 (95% CI 0.902-0.933) in the validation cohort. SHAP analysis revealed that the top five variables contributing to END prediction were admission NIHSS score, HCY, D-dimer, history of hyperlipidemia, and vitamin B12. Conclusion:This study successfully developed a laboratory-based prediction model for END using the XGB machine learning algorithm, which demonstrated strong predictive performance.

This report evaluates the preliminary outcomes of a "six-in-one" integrated cough and asthma center developed under a dual-contract physician model at the Changfeng Community Health Service Center in Putuo District, Shanghai. By combining the efforts of family doctors and medical specialists, the center integrated six core functions-clinical treatment, prevention, nursing, rehabilitation, pharmacy, and nutrition-into a seamless management system covering screening, diagnosis, therapy, and follow-up. Supported by specialist guidance and teaching clinics, the model significantly enhanced comprehensive respiratory disease management capabilities within the community setting. The initiative not only improved patient health outcomes but also strengthened multidisciplinary collaboration and resource efficiency, offering a replicable example for improving chronic disease management in primary care through integrated and coordinated service delivery.