OBJECTIVE: Blood culture remains the gold standard for diagnosing bloodstream infections. Clinical laboratories must ensure the quality of blood culture processes from receipt to obtaining definitive results. We examined laboratory analytical indicators associated with positive blood culture results. METHODS: Blood cultures collected from Peking Union Medical College Hospital between January 1, 2020, and December 31, 2022, were retrospectively analyzed. The mode of transportation (piping logistics delivery vs. staff), source of blood cultures (outpatient/emergency department vs. inpatient department), rotation of personnel, and time of reception (8:00-19:59 vs. 20:00-07:59) were compared between blood culture-positive and -negative results. RESULTS: Between 2020 and 2022, the total positive rate of blood culture was 8.07%. The positive rate of blood cultures in the outpatient/emergency department was significantly higher than that in the inpatient department (12.46% vs. 5.83%; P < 0.0001). The time-to-detection of blood cultures was significantly affected by the delivery mode and personnel rotation. The blood culture positive rate of the total pre-analytical time within 1 h was significantly higher than that within 1-2 h or > 2 h ( P < 0.0170). CONCLUSION Laboratory analytical indicators such as patient source, transportation mode, and personnel rotation significantly impacted the positive detection rate or time of blood culture.
Blood Culture/statistics & numerical data* ; Humans ; Retrospective Studies ; Emergency Service, Hospital/statistics & numerical data*

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

This study aims to integrate data mining techniques of single cell transcriptomics and spatial transcriptomics, along with animal experiment validation, so as to systematically characterize the protective effects of Jianpi Tongluo Formula(JTF) on the cartilage in knee osteoarthritis(KOA) and elucidate the underlying molecular mechanisms. Single cell transcriptomics and spatial transcriptomics datasets(GSE254844 and GSE255460) of the cartilage tissue obtained from KOA patients were analyzed to map the single cell-spatial heterogeneity and identify key pathogenic factors. After that, a KOA rat model was established via knee joint injection of papain. The intervention effects of JTF on the expression features of these key factors were assessed through real-time quantitative polymerase chain reaction(PCR), Western blot, and immunohistochemical staining. As a result, the integrated single cell and spatial transcriptomics data identified distinct cell subsets with different pathological changes in different regions of the inflamed cartilage tissue in KOA, and their differentiation trajectories were closely related to the inflammatory fibrosis-like pathological changes of chondrocytes. Accordingly, the expression levels of the two key effect targets, namely nuclear receptor coactivator 4(NCOA4) and high mobility group box 1(HMGB1) were significantly reduced in the articular surface and superficial zone of the inflamed joints when JTF effectively alleviated various pathological changes in KOA rats, thus reversing the abnormal chondrocyte autophagy level, relieving the inflammatory responses and fibrosis-like pathological changes, and promoting the repair of chondrocyte function. Collectively, this study revealed the heterogeneous characteristics and dynamic changes of inflamed cartilage tissue in different regions and different cell subsets in KOA patients. It is worth noting that NCOA4 and HMGB1 were crucial in regulating chondrocyte autophagy and inflammatory reaction, while JTF could reverse the regulation of NCOA4 and HMGB1 and correct the abnormal molecular signal axis in the target cells of the inflamed joints. The research can provide a new research idea and scientific basis for developing a personalized therapeutic schedule targeting the spatiotemporal heterogeneity characteristics of KOA.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Rats ; Osteoarthritis, Knee/pathology* ; Humans ; Male ; Cartilage, Articular/metabolism* ; Chondrocytes/metabolism* ; Rats, Sprague-Dawley ; Female ; Protective Agents/administration & dosage* ; Single-Cell Analysis ; Middle Aged ; HMGB1 Protein/metabolism*

AIM:To investigate the impact of es-ketamine-mediated opioid-free anesthesia(OFA)on postoperative gastrointestinal function in patients undergoing laparoscopic distal gastrectomy for gas-tric cancer.METHODS:A total of 150 pa-tients,scheduled for elective laparoscopic distal gas-trectomy for gastric cancer and meeting the inclu-sion and exclusion criteria,were randomly assigned to either the OFA group or the opioid-based anes-thesia(OBA)group using a random number ta-ble,with 75 patients in each group.The OFA group was administered an anesthesia regimen pri-marily consisting of esketamine,while the OBA group received conventional opioid anesthesia,pri-marily consisting of sufentanil and remifentanil.The primary outcome measure was postoperative flatus time,defined as the interval from the end of sur-gery to the first passage of gas.RESULTS:The OFA group exhibited a shorter postoperative flatus time compared to the OBA group(P＜0.01).Intraopera-tive blood loss and norepinephrine consumption were significantly less in the OFA group compared to the OBA group(P＜0.05);the postoperative HADS-D score was better in the OFA group than in the OBA group,and both the OFA and OBA groups showed significantly lower postoperative HADS-A and HADS-D scores compared to their preoperative levels(P＜0.05);the incidence rate of abdominal distension was significantly lower in the OFA group compared to the OBA group(P＜0.05).CONCLUSION:The use of esketamine-mediated opioid-free anesthesia can expedite gastrointestinal function recovery,reduce hospital stay duration,and decrease postoperative adverse reactions in patients undergoing laparo-scopic distal gastrectomy for gastric cancer.

OBJECTIVE: To detect and analyze the expression and clinical significance of long non-coding RNA tyrosine kinase non-catalytic region adaptor protein 1-antisense RNA1 (NCK1-AS1) in patients with acute myeloid leukemia (AML). METHODS: 89 AML patients and 23 healthy controls were included from the People's Hospital Affiliated to Jiangsu University. Real-time quantitative polymerase chain reaction (RT-qPCR) was used to detect the expression levels of NCK1-AS1 and NCK1 in bone marrow samples. The relationship between the expression of NCK1-AS1 and the clinical characteristics of patients were analyzed, as well as the correlation between NCK1-AS1 and NCK1. RESULTS: The expression level of NCK1-AS1 in all AML, non-M3 AML and cytogenetically normal AML (CN-AML) patients was significantly higher than that in the control group (P < 0.01, P < 0.05, P < 0.01, respectively). In non-M3 AML, patients with high NCK1-AS1 expression had a significantly lower hemoglobin level than those with low NCK1-AS1 expression (P =0.036), furthermore, NCK1-AS1 ^high patients had shorter overall survival than NCK1-AS1^low patients (P =0.0378). Multivariate analysis showed that NCK1-AS1 expression was an independent adverse factor in patients with non-M3 AML ( HR =2.392, 95% CI :1.089-5.255, P =0.030). In addition, NCK1 expression was also significantly upregulated in all AML, non-M3 AML and CN-AML patients compared with controls (P < 0.01, P < 0.01, P < 0.001, respectively). There was a certain correlation between NCK1-AS1 and NCK1 expression (r =0.37, P =0.0058). CONCLUSION High expression of NCK1-AS1 in AML indicates poor prognosis of AML patients.
Humans ; Leukemia, Myeloid, Acute/genetics* ; RNA, Long Noncoding/genetics* ; Oncogene Proteins/genetics* ; Adaptor Proteins, Signal Transducing/genetics* ; Prognosis ; Male ; Female ; Middle Aged ; Adult ; Case-Control Studies ; Clinical Relevance

Objective:To develop a convolutional neural network model of whole slide imaging of cerebrospinal fluid cells for rapid and accurate identification and classification of tumor cells in cerebrospinal fluid.Methods:A total of 8 692 cerebrospinal fluid cytology smears from Huashan Hospital Affiliated to Fudan University from January 2nd, 2019, to December 27th, 2024. As randomly assigned, the training set included 4 941 benign and 1 745 malignant samples, while the validation set comprised of 1 368 benign and 638 malignant samples. Whole-slide digital images were acquired using a cytopathology scanner, cells (clusters) were annotated for classification, and a deep learning model was constructed via tiled image patches for cell detection and classification. Model performance was evaluated using accuracy, sensitivity, specificity, and other indicators. The classification efficiency of manual microscopy was compared.Results:The model achieved a mean precision of 96.75% for cerebrospinal fluid cell classification. For malignant tumor cells, the classification accuracy was 96.61% (mAP=98.36%, AUC=0.97). Subtype classification accuracies for epithelial/epithelioid tumors and small round cell tumors were 97.13% (AUC=0.98) and 95.58% (AUC=0.93), respectively. Compared with manual microscopy, which took (9.70±0.82) minutes for classifying 200 cells, (18.27±1.21) minutes for 500 cells, and often exceeded 60 minutes or infeasible for full slides, the AI model took (3.46±0.49) seconds for 200 cells, (6.76±0.82) seconds for 500 cells, and a median of 48.57 seconds for full slides ( P<0.001), representing an efficiency improvement of approximately 161-170 times, significantly enhancing diagnostic efficiency. Conclusion:This fully automated hierarchical deep learning model enables efficient and accurate tumor cell identification and classification in CSF, providing an effective auxiliary tool for the rapid diagnosis of meningeal carcinomatosis.

AIM:To investigate the impact of es-ketamine-mediated opioid-free anesthesia(OFA)on postoperative gastrointestinal function in patients undergoing laparoscopic distal gastrectomy for gas-tric cancer.METHODS:A total of 150 pa-tients,scheduled for elective laparoscopic distal gas-trectomy for gastric cancer and meeting the inclu-sion and exclusion criteria,were randomly assigned to either the OFA group or the opioid-based anes-thesia(OBA)group using a random number ta-ble,with 75 patients in each group.The OFA group was administered an anesthesia regimen pri-marily consisting of esketamine,while the OBA group received conventional opioid anesthesia,pri-marily consisting of sufentanil and remifentanil.The primary outcome measure was postoperative flatus time,defined as the interval from the end of sur-gery to the first passage of gas.RESULTS:The OFA group exhibited a shorter postoperative flatus time compared to the OBA group(P＜0.01).Intraopera-tive blood loss and norepinephrine consumption were significantly less in the OFA group compared to the OBA group(P＜0.05);the postoperative HADS-D score was better in the OFA group than in the OBA group,and both the OFA and OBA groups showed significantly lower postoperative HADS-A and HADS-D scores compared to their preoperative levels(P＜0.05);the incidence rate of abdominal distension was significantly lower in the OFA group compared to the OBA group(P＜0.05).CONCLUSION:The use of esketamine-mediated opioid-free anesthesia can expedite gastrointestinal function recovery,reduce hospital stay duration,and decrease postoperative adverse reactions in patients undergoing laparo-scopic distal gastrectomy for gastric cancer.

Objective:To develop a convolutional neural network model of whole slide imaging of cerebrospinal fluid cells for rapid and accurate identification and classification of tumor cells in cerebrospinal fluid.Methods:A total of 8 692 cerebrospinal fluid cytology smears from Huashan Hospital Affiliated to Fudan University from January 2nd, 2019, to December 27th, 2024. As randomly assigned, the training set included 4 941 benign and 1 745 malignant samples, while the validation set comprised of 1 368 benign and 638 malignant samples. Whole-slide digital images were acquired using a cytopathology scanner, cells (clusters) were annotated for classification, and a deep learning model was constructed via tiled image patches for cell detection and classification. Model performance was evaluated using accuracy, sensitivity, specificity, and other indicators. The classification efficiency of manual microscopy was compared.Results:The model achieved a mean precision of 96.75% for cerebrospinal fluid cell classification. For malignant tumor cells, the classification accuracy was 96.61% (mAP=98.36%, AUC=0.97). Subtype classification accuracies for epithelial/epithelioid tumors and small round cell tumors were 97.13% (AUC=0.98) and 95.58% (AUC=0.93), respectively. Compared with manual microscopy, which took (9.70±0.82) minutes for classifying 200 cells, (18.27±1.21) minutes for 500 cells, and often exceeded 60 minutes or infeasible for full slides, the AI model took (3.46±0.49) seconds for 200 cells, (6.76±0.82) seconds for 500 cells, and a median of 48.57 seconds for full slides ( P<0.001), representing an efficiency improvement of approximately 161-170 times, significantly enhancing diagnostic efficiency. Conclusion:This fully automated hierarchical deep learning model enables efficient and accurate tumor cell identification and classification in CSF, providing an effective auxiliary tool for the rapid diagnosis of meningeal carcinomatosis.

The quantitative detection of glucose is vital for human health monitoring and chronic disease management.At present,the method for glucose detection is mainly based on glucose oxidase(GOx)with simpleness,accessibility,and easy observation.However,the target signals are usually recorded on large and expensive instruments(such as a biochemical analyzer or microplate reader),and analyzed by skilled professionals,which limits the widespread use of such methods in poor areas and densely populated cities.Herein,a ferriferous oxide(Fe3O4)nanozyme-assisted colorimetry method was developed for determination of glucose in serum.Specifically,glucose was catalyzed by GOx to produce hydrogen peroxide(H2O2),and then the 3,3′,5,5′-tetramethylbenzidine(TMB)substrate was oxidized by H2O2 with the assistance of peroxidase-like activity of Fe3O4,resulting in blue product.Afterward,the colorimetric signals were measured by a smartphone-based intelligent device with automated data analysis function.The linear response range obtained from this method was 1-30 mmol/L,and the limit of detection(LOD)was 0.366 mmol/L.The method was applied to detection of clinical serum samples(n=20),and the detection results of this device were in good agreement with those by a microplate reader and provided by hospital.The prepared Fe3O4 nanoparticles possessed advantages including high catalytic activity,good stability,easy separation,and repetitive utilization.Taken together,smartphones owned simple operation,excellent image acquisition,data analysis,and easy integration,and benefiting from that,a promising platform for detection of glucose was developed with low lost.

AIM To explore the clinical effects of Zhenwu Decoction combined with Danshen Drink on patients with chronic heart failure.METHODS Eighty-six patients were randomly assigned into control group(43 cases)for 4-week intervention of conventional treatment,and observation group(43 cases)for 4-week intervention of Zhenwu Decoction,Danshen Drink and conventional treatment.The changes in cardiac function indices(LVFS,LVEDD,LVEF),serum indices(hs-cTnI,sST2,NT-proBNP,MMP-9),inflammatory factors(IL-6,TNF-α,hs-CRP),platelet aggregation rate,QTcd and incidence of adverse reactions were detected.RESULTS After the treatment,the two groups demonstrated increased LVFS,LVEF(P＜0.05),and decreased LVEDD,serum indices,inflammatory factors,platelet aggregation rate,QTcd(P＜0.05),especially for the observation group(P＜0.05).No significant difference in incidence of adverse reactions was found between the two groups(P＞0.05).CONCLUSION For the patients with chronic heart failure,Zhenwu Decoction combined with Danshen Drink can safely and effectively improve hs-cTnI level and platelet aggregation functions.