ObjectiveThe widespread adoption of portable fundus cameras for primary care and community screening is hindered by limitations in current autofocus(AF) technologies. Image-based methods relying on sharpness evaluation require iterative searches, resulting in slow convergence, while projection-based techniques are susceptible to optical artifacts and calibration errors. To address these challenges, this study introduces a novel AF system based on direct wavefront sensing, designed to deliver simultaneous high speed, high precision, and operational robustness within the compact form factor essential for portable ophthalmic devices. MethodsOur approach fundamentally reimagines the AF process by directly measuring the ocular wavefront aberration. We developed a custom portable fundus camera integrating a miniaturized Shack-Hartmann wavefront sensor (SHWS) into the optical path. An 850 nm laser diode projects a point source onto the retina via oblique illumination to minimize corneal reflections. Light scattered from this spot carries the eye’s refractive error through the imaging optics and is directed to the SHWS, positioned at a plane optically conjugate to the primary color CMOS imaging sensor. A microlens array within the SHWS samples the incident wavefront, generating a pattern of focal spots on a CCD. Real-time centroid analysis of these spots provides a map of local wavefront slopes. These measurements are processed through a singular value decomposition (SVD) algorithm to fit a Zernike polynomial basis set, enabling real-time reconstruction of the wavefront phase. The defocus component (S) is extracted from the second-order Zernike coefficients, providing a direct, quantitative measure of the refractive error in diopters. This value serves as a precise error signal in a closed-loop control system, which commands a voice-coil actuated focusing lens to its null position in a single, deterministic step, eliminating the need for iterative search algorithms. ResultsComprehensive evaluation demonstrated the system’s high performance. Testing on a calibrated model eye (OEMI-7) established a highly linear relationship between the computed defocus S and the focusing lens position across a ±20 Diopter (D) compensation range, achievable within a 5 mm mechanical travel. The system achieved a focusing precision of 0.08 D, corresponding to an 18-fold improvement over a conventional projection spot-size method tested under identical conditions. The total focus acquisition time, encompassing wavefront measurement, computation, and lens actuation, averaged under 0.5 s. Clinical validation with 25 human volunteers (50 eyes, refractive range -15 D to +10 D) confirmed practical efficacy. The wavefront-sensing AF succeeded in 92% of attempts with a mean time of 0.5 s, substantially outperforming a projection-based benchmark which achieved only a 32% success rate with an average time of 4.25 s. The system provided instantaneous directional guidance and maintained stability during minor ocular movements. Objective assessment of image quality, via amplitude contrast of retinal vasculature, showed consistent and significant enhancement following AF correction across the entire tested diopter range. ConclusionThis work successfully implements and validates a direct wavefront-sensing autofocus paradigm for portable fundus cameras. By directly quantifying and compensating for the optical defocus aberration, this method bypasses the fundamental limitations of image-processing and projection-based techniques, enabling rapid, precise, and deterministic diopter compensation. The developed system delivers an exceptional combination of a wide operational range (±20 D), high accuracy (0.08 D), fast convergence (0.5 s), and a compact physical footprint. This technology provides a practical and high-performance focusing solution capable of enhancing the reliability, throughput, and diagnostic utility of portable retinal imaging in large-scale screening applications. Future efforts will be directed towards system cost optimization and performance adaptation for diverse ocular conditions.

Objective:This study aims to investigate the predictive performance of serum levels of white blood cell count(WBC),D-dimer(D-D)and N-terminal pro-brain natriuretic peptide(NT-proBNP)for major adverse cardiovascular events(MACE)in elderly patients with acute ST-segment elevation myocardial infarction(ASTE-MI).Methods:A total of 70 elderly patients with ASTEMI treated in Bozhou People's Hospital between April 2020 and May 2023 were prospectively selected as observation group.Incidence of MACE during 1-year follow-up were recorded,another 50 patients with unstable angina pectoris treated in our hospital simultaneously were selected as control group.Serum levels of WBC,D-D and NT-proBNP were compared among above groups.The receiver operating characteristic(ROC)curve was used to evaluate the predictive value of serum WBC,D-D and NT-proBNP for MACE in elderly patients with ASTEMI.A nomogram was established,and calibration curve and deci-sion curve analysis(DCA)were used to evaluate the performance of model.Results:A total of 40 cases(59.70％)experienced MACE during one-year follow-up.Compared to those in control group,patients in observation group had significant higher serum WBC[(11.43±1.98)×109/Lvs.(6.30±1.99)× 109/L],D-D[(0.91±0.20)mg/L vs.(0.47±0.18)mg/L]andNT-proBNP[(192.31±63.19)pg/ml vs.(114.05±22.79)pg/ml](P＜0.001 all).Compared to participants without MACE,those with MACE had significantly higher serum WBC[(13.33±1.90)× 109/L vs.(10.27±0.98)× 109/L],D-D[(1.11±0.25)mg/L vs.(0.87±0.21)mg/L]and NT-proBNP[(238.73±50.22)pg/ml vs.(150.70±39.16)pg/ml](P＜0.001 all).ROC analysis showed that the ar-ea under the curve(AUC)of the combined detection of serum WBC(AUC=0.791,95％CI 0.677～0.879),D-D(AUC=0.767,95％CI 0.650～0.859)and NT-proBNP(AUC=0.733,95％CI 0.614～0.832)was 0.916(95％CI 0.825～0.969),which was significantly higher than those of single detections(Z=2.386,4.953,3.190,P=0.017,0.004,＜0.001).The total score of the nomogram model constructed based on the levels of WBC,D-D and NT-proBNP ranged from 70 to 126 points.The predicted incidence was basically consistent with the actual in-cidence.For the internal verification of the model,the AUC of ROC curve of the training set and the validation set was 0.863 and 0.926 respectively.The DCA curve was located above the critical curve,indicating that the model had a net benefit and good clinical effectiveness.Conclusion:Serum WBC,D-D and NT-proBNP significantly el-evated in elderly patients with ASTEMI.The combined detection of serum WBC,D-D and NT-proBNP levels has good predictive value for MACE in these patients.

OBJECTIVE: To identify prognostic genes associated with lysosome-dependent cell death (LDCD) in patients with gastric cancer (GC). METHODS: Differentially expressed genes (DEGs) were identified using The Cancer Genome Atlas - Stomach Adenocarcinoma. Weighted gene co-expression network analysis was performed to identify the key module genes associated with LDCD score. Candidate genes were identified by DEGs and key module genes. Univariate Cox regression analysis, and least absolute shrinkage and selection operator regression and multivariate Cox regression analyses were performed for the selection of prognostic genes, and risk module was established. Subsequently, key cells were identified in the single-cell dataset (GSE183904), and prognostic gene expression was analyzed. Cell proliferation and migration were assessed using the Cell Counting Kit-8 assay and the wound healing assay. RESULTS: A total of 4,465 DEGs, 95 candidate genes, and 4 prognostic genes, including C19orf59, BATF2, TNFAIP2, and TNFSF18, were identified in the analysis. Receiver operating characteristic curves indicated the excellent predictive power of the risk model. Three key cell types (B cells, chief cells, and endothelial/pericyte cells) were identified in the GSE183904 dataset. C19orf59 and TNFAIP2 exhibited predominant expression in macrophage species, whereas TNFAIP2 evolved over time in endothelial/pericyte cells and chief cells. Functional experiments confirmed that interfering with C19orf59 inhibited proliferation and migration in GC cells. CONCLUSION C19orf59, BATF2, TNFAIP2, and TNFSF18 are prognostic genes associated with LDCD in GC. Furthermore, the risk model established in this study showed robust predictive power.
Stomach Neoplasms/pathology* ; Humans ; Prognosis ; Lysosomes/physiology* ; RNA-Seq ; Cell Death ; Single-Cell Analysis ; Gene Expression Regulation, Neoplastic ; Cell Proliferation ; Single-Cell Gene Expression Analysis

OBJECTIVE: This study aimed to reexplore minimum iodine excretion and to build a dietary iodine recommendation for Chinese adults using the obligatory iodine loss hypothesis. METHODS: Data from 171 Chinese adults (19-21 years old) were collected and analyzed based on three balance studies in Shenzhen, Yinchuan, and Changzhi. The single exponential equation was accordingly used to simulate the trajectory of 24 h urinary iodine excretion as the low iodine experimental diets offered (iodine intake: 11-26 μg/day) and to further deduce the dietary reference intakes (DRIs) for iodine, including estimated average requirement (EAR) and recommended nutrient intake (RNI). RESULTS: The minimum iodine excretion was estimated as 57, 58, and 51 μg/day in three balance studies, respectively. Moreover, it was further suggested as 57, 58, and 51 μg/day for iodine EAR, and 80, 81, and 71 μg/day for iodine RNI or expressed as 1.42, 1.41, and 1.20 μg/(day·kg) of body weight. CONCLUSION The iodine DRIs for Chinese adults were established based on the obligatory iodine loss hypothesis, which provides scientific support for the amendment of nutrient requirements.
Humans ; Iodine/administration & dosage* ; Male ; Female ; China ; Young Adult ; Diet ; Adult ; Nutritional Requirements ; East Asian People

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Coronary artery calcification often appears a variety of complex lesions,increasing coronary intervention of the difficulty of treatment,especially the severe calcification lesions,usually cannot be fully dilated,resulting in a reduced success rate of surgery,an increased rate of acute stent thrombosis and restenosis,and even a serious impact on the prognosis of patients.Intravascular lithotripsy(IVL)is increasingly used in calcified lesions.There is more and more evidence of using in stable angina pectoris and unstable angina pectoris,but its use in acute ST-segment elevation myocardial infarction is limited,and only a few cases have been reported abroad.Moreover,the consensus of Chinese experts in the diagnosis and treatment of coronary artery calcification in 2021 edition lists thrombotic lesions as contraindications of shock wave balloon.This case is the first time in China to report the use of shock wave balloon in patients with acute ST elevation myocardial infarction complicated with thrombus.In this case,the patient with acute ST elevation myocardial infarction complicated with thrombus was severely under expanded stent after stent implantation,and obtain good curative effect using shockwave balloon at selected time in hospital after intensive anticoagulant therapy.

Objective:This study aims to investigate the predictive performance of serum levels of white blood cell count(WBC),D-dimer(D-D)and N-terminal pro-brain natriuretic peptide(NT-proBNP)for major adverse cardiovascular events(MACE)in elderly patients with acute ST-segment elevation myocardial infarction(ASTE-MI).Methods:A total of 70 elderly patients with ASTEMI treated in Bozhou People's Hospital between April 2020 and May 2023 were prospectively selected as observation group.Incidence of MACE during 1-year follow-up were recorded,another 50 patients with unstable angina pectoris treated in our hospital simultaneously were selected as control group.Serum levels of WBC,D-D and NT-proBNP were compared among above groups.The receiver operating characteristic(ROC)curve was used to evaluate the predictive value of serum WBC,D-D and NT-proBNP for MACE in elderly patients with ASTEMI.A nomogram was established,and calibration curve and deci-sion curve analysis(DCA)were used to evaluate the performance of model.Results:A total of 40 cases(59.70％)experienced MACE during one-year follow-up.Compared to those in control group,patients in observation group had significant higher serum WBC[(11.43±1.98)×109/Lvs.(6.30±1.99)× 109/L],D-D[(0.91±0.20)mg/L vs.(0.47±0.18)mg/L]andNT-proBNP[(192.31±63.19)pg/ml vs.(114.05±22.79)pg/ml](P＜0.001 all).Compared to participants without MACE,those with MACE had significantly higher serum WBC[(13.33±1.90)× 109/L vs.(10.27±0.98)× 109/L],D-D[(1.11±0.25)mg/L vs.(0.87±0.21)mg/L]and NT-proBNP[(238.73±50.22)pg/ml vs.(150.70±39.16)pg/ml](P＜0.001 all).ROC analysis showed that the ar-ea under the curve(AUC)of the combined detection of serum WBC(AUC=0.791,95％CI 0.677～0.879),D-D(AUC=0.767,95％CI 0.650～0.859)and NT-proBNP(AUC=0.733,95％CI 0.614～0.832)was 0.916(95％CI 0.825～0.969),which was significantly higher than those of single detections(Z=2.386,4.953,3.190,P=0.017,0.004,＜0.001).The total score of the nomogram model constructed based on the levels of WBC,D-D and NT-proBNP ranged from 70 to 126 points.The predicted incidence was basically consistent with the actual in-cidence.For the internal verification of the model,the AUC of ROC curve of the training set and the validation set was 0.863 and 0.926 respectively.The DCA curve was located above the critical curve,indicating that the model had a net benefit and good clinical effectiveness.Conclusion:Serum WBC,D-D and NT-proBNP significantly el-evated in elderly patients with ASTEMI.The combined detection of serum WBC,D-D and NT-proBNP levels has good predictive value for MACE in these patients.

PURPOSE: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artificial intelligence (AI) method to improve the accuracy of ITF classification. METHODS: We trained a network called YOLOX-SwinT, which is based on the You Only Look Once X (YOLOX) object detection network with Swin Transformer (SwinT) as the backbone architecture, using 762 radiographic ITF examinations as the training set. Subsequently, we recruited 5 senior orthopedic trauma surgeons (SOTS) and 5 junior orthopedic trauma surgeons (JOTS) to classify the 85 original images in the test set, as well as the images with the prediction results of the network model in sequence. Statistical analysis was performed using the SPSS 20.0 (IBM Corp., Armonk, NY, USA) to compare the differences among the SOTS, JOTS, SOTS + AI, JOTS + AI, SOTS + JOTS, and SOTS + JOTS + AI groups. All images were classified according to the AO/OTA 2018 classification system by 2 experienced trauma surgeons and verified by another expert in this field. Based on the actual clinical needs, after discussion, we integrated 8 subgroups into 5 new subgroups, and the dataset was divided into training, validation, and test sets by the ratio of 8:1:1. RESULTS: The mean average precision at the intersection over union (IoU) of 0.5 (mAP50) for subgroup detection reached 90.29%. The classification accuracy values of SOTS, JOTS, SOTS + AI, and JOTS + AI groups were 56.24% ± 4.02%, 35.29% ± 18.07%, 79.53% ± 7.14%, and 71.53% ± 5.22%, respectively. The paired t-test results showed that the difference between the SOTS and SOTS + AI groups was statistically significant, as well as the difference between the JOTS and JOTS + AI groups, and the SOTS + JOTS and SOTS + JOTS + AI groups. Moreover, the difference between the SOTS + JOTS and SOTS + JOTS + AI groups in each subgroup was statistically significant, with all p < 0.05. The independent samples t-test results showed that the difference between the SOTS and JOTS groups was statistically significant, while the difference between the SOTS + AI and JOTS + AI groups was not statistically significant. With the assistance of AI, the subgroup classification accuracy of both SOTS and JOTS was significantly improved, and JOTS achieved the same level as SOTS. CONCLUSION In conclusion, the YOLOX-SwinT network algorithm enhances the accuracy of AO/OTA subgroups classification of ITF by orthopedic trauma surgeons.
Humans ; Hip Fractures/diagnostic imaging* ; Orthopedic Surgeons ; Algorithms ; Artificial Intelligence

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To analyze the epidemiological distribution,microbiological characteristics,drug-resistance status,and risk factors for mortality in adult intensive care unit(ICU)patients with Klebsiella pneumoniae infection.Methods This multi-center prospective cohort study included ICU patients with suspected infection from 67 hospitals across 16 Chinese provinces/municipalities between July 1,2021 and December 31,2022.Clinical data and microbiological results were collected,and patients were divided into survival and non-survival groups according to their survival status and drug-resistance situation.Risk factors for mortality and drug resistance in ICU patients with Klebsiella pneumonia infection were determined through univariate and multivariate logistic regression analyses.Results A total of 2964 ICU-infected patients were enrolled,with 12 175 microbial specimens submitted for testing.Among these,487 specimens tested positive for Klebsiella pneumoniae.Ultimately,314 patients with Klebsiella pneumoniae infection were identified,primarily from lung infections,with a drug-resistance rate of 78.3%.The in-hospital mortality rate of ICU patients infected with Klebsiella pneumoniae was 19.8%.Univariate and multivariate logistic regression analyses revealed that older age(P=0.027),high drug-resistance rate(P=0.028),and low clinical-effectiveness rate(P<0.001)were independent risk factors for mortality in ICU patients infected with Klebsiella pneumoniae.Drug-resistance analysis showed that,compared with non-resistant cases,ICU patients with drug-resistant Klebsiella pneumoniae infection had lower pathogen-clearance rates(P=0.003),clinical-effectiveness rates(P=0.004),and antibiotic-effectiveness rates(P<0.010),and higher mortality rates(P=0.006).Patients with Klebsiella pneumoniae abdominal infection(P=0.003)and urinary tract infection(P=0.007)had higher drug-resistance incidences.There were no statistically significant differences in clinical-effectiveness rate,Klebsiella pneumoniae clearance,drug-resistance incidence,mortality rate,or hospital-stay length between patients with lung infection and those with non-lung infection of Klebsiella pneumoniae(P>0.05).Compared with patients with non-bloodstream infection,patients with bloodstream infection of Klebsiella pneumoniae had lower clinical-effectiveness rates(P=0.027)and higher mortality rates(P=0.021).Conclusions Older age,high drug-resistance rate,and low clinical-effectiveness rate are independent risk factors for mortality in ICU patients infected with Klebsiella pneumoniae.ICU patients with bloodstream infection of Klebsiella pneumoniae may have lower clinical-effectiveness rates and higher mortality rates.ICU patients with abdominal and urinary tract infections caused by Klebsiella pneumoniae are more likely to develop drug resistance.