Objective To analyze the incidence and risk factors of hypothermia in elderly patients with malnutrition during proximal femoral nail antirotation(PFNA)internal fixation under general anesthesia.Methods A total of 139 elderly patients underwent PFNA internal fixation under general anesthesia were selected,and the nutritional status scores 1 day before surgery ranged from 0 to 11 points.Univariate and multivariate Logistic binary regression analysis was performed to analyze the related factors that may lead to intraoperative hypothermia.Results Among 139 elderly patients with preoperative nutritional scores of 0 to 11 points,79 cases(56.83%)developed intraoperative hypothermia.The results of univariate and multivariate Logistic binary regression analysis suggested that age≥75 years old,mini nutritional assessment short form(MNA-SF)nutritional score 0 to 7 points,BMI<18.5 kg/m2,duration of general anesthesia≥2 hours,intraoperative flushing fluid volume≥1 000 mL and intraoperative fluid volume≥1 000 mL were the risk factors for the occurrence of intraoperative hypothermia in elderly patients(OR>1,P<0.05).The use of warm blanket insulation was the protective factor against the occurrence of intraoperative hypothermia(OR<1,P<0.05).Conclusion The incidence of intraoperative hypothermia during PFNA internal fixation under general anesthesia in elderly patients with mainutrition before operation is high,and patients with poor nutritional status are more likely to develop intraoperative hypothermia.Patients with older age,poor nutritional status,lower BMI,longer duration of general anesthesia,and more intraoperative flushing fluid volume and intraoperative fluid volume are likely to lead to intraoperative hypothermia.The use of warm blanket can reduce the incidence of intraoperative hypothermia.

Objective:To explore the clinical application value of single pass scanning using muti-slice spiral CT for polytrauma patients.Methods:Totally 60 polytrauma patients treated from January to November in 2023 were randomly enrolled in this study. They were categorized into an experimental group and a control group using a random number table, with 30 patients in each group. The patients in the experimental group underwent single pass scaning for the head, neck, chest, and abdomen, whereas those in the control group receiving separate scanning for various parts. Then, the noise, signal-to-noise ratio (SNR), and contrast-to-noise (CNR) of the CT images of both groups were recorded. Furthermore, the objective and subjective evaluation, volume CT dose index (CTDI vol), effective dose ( E), scanning time, and scan ranges of the images were compared between both groups. Results:Compared to the control group, the test group exhibited lower SNR of the head ( t = -5.47, P < 0.05) and higher SNR and CNR of the chest scans ( t = -5.95, -6.15, P < 0.05). Furthermore, the test group demonstrated decreased ED, CTDIvol, scanning time, and scan range, which dropped from 18.53 mSv to 13.81 mSv ( t = 3.29, P < 0.001), from 15.77 mGy to 10.59 mGy ( t = 4.48, P< 0.001), from 31.68 s to 10.97 s ( t = 6.95, P < 0.001), and from 64.92 cm to 45.21 cm ( t = 9.05, P < 0.001), respectively compared to the control group. Conclusions:Single pass CT scanning can reduce E, scanning time, and scan range in the treatment of polytrauma patients while ensuring the high quality of CT images, thus warranting wide clinical applications.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

This study primarily concentrated on scientific problems of poor taste caused by unclear critical quality attributes of oral preparations manufactured by Chinese materia medica, successfully established an identification method for taste critical quality attribute and a taste improvement method combining electronic tongue with human senses, and determined the optimal taste formula, to improve patients' oral medication compliance. The study received ethical approval from the Review Committee of the Beijing University of Chinese Medicine. The results showed that the proportion of bitterness of Xiaoer Qingrening Granule was 61.8%, and its bitterness grade was 3.70, it was determined that bitterness is the critical quality attribute that caused the poor taste of Xiaoer Qingrening Granule. Additionally, the optimal taste formula per milliliter of Xiaoer Qingrening sugar-free intermediate was determined with allowable daily intake, solubility, and sweetness as the limiting conditions, which was 40 mg hydroxypropyl β-cyclodextrin, 180 mg trehalose, and 1.5 mg acesulfame potassium. Compared with the Xiaoer Qingrening Granule, the sensory evaluation score of the optimal taste formula was increased by 37.5 points. In conclusion, this study achieved the taste improvement of Xiaoer Qingrening Granule and formed a set of taste improvement strategies including the identification of taste critical quality attribute, the selection of the type and dosage of corrigent, and the optimization of taste formula, which provided a thought reference for the taste improvement of other oral preparations and a new perspective for quality control of intelligent manufacturing of traditional Chinese medicines.

To identify the bitter compounds of real-world Xiaoer Ganmao Oral Liquid sugar-free intermediates, an integrated strategy has been developed by using ultra-high performance liquid chromatography with linear ion trap-Orbitrap mass spectrometry (UHPLC-LTQ-Orbitrap MSⁿ) method and BitterX database prediction. The chromatographic operating conditions were as follows, chromatographic column: Acquity UPLC BEH C₁₈ (100 mm × 2.1 mm, 1.7 μm), mobile phase: 0.1% formic acid-water solution (A)-acetonitrile (B) with gradient elution. The data were collected in positive and negative ion modes, respectively. The accurate molecular mass and structural information of the target compounds were obtained based on quasi-molecular ions and fragmentation ions provided by high-resolution mass spectrometry. The compounds were identified by combining retention time, reference substances, reports, and other relevant data, and a total of 57 constituents including flavonoids, alkaloids, and phenylpropanoids were finally identified. Further, the BitterX database was used to predict binding probability of compounds to bitter receptors and identify potential bitter critical quality attributes, finally 33 potential bitter compounds, including kukoamine A and linarin, were predicted. This study comprehensively characterized the material basis of Xiaoer Ganmao Oral Liquid sugar-free intermediates, it provides an effective method for bitter compound screening and a reference for further improving the undesirable taste of Xiaoer Ganmao Oral Liquid.

OBJECTIVE: To analyze the kinetic characteristics of lymphocyte subsets and myeloid-derived suppressor cell (MDSC) in patients who newly diagnosed intermediate- to high-risk aGVHD and treated with steroids-ruxolitinib as the first line therapy from a single-arm, open clinical trial (NCT04061876). METHODS: We prospectively observed the efficacy of 23 patients having intermediate- to high-risk aGVHD and treated with steroids-ruxolitinib as the first line therapy. The kinetic characteristics of lymphocyte subsets and MDSC were monitored, and then we compared them in steroids-ruxolitinib group (n=23), free-aGVHD group (n=20) and steroids group (n=23). RESULTS: Of the 23 patients, the CR rate was 78.26% (18/23) on day 28 after first-line treatment with steroids-ruxolitinib. On day 28 after treatment, patients had lower level of CD4⁺CD29⁺ T cells (P=0.08) than that of pre-treatment, whereas levels of other lymphocyte subsets in this study were higher than that of pre-treatment; CD4⁺CD29⁺ T cells in CR patients decreased, compared with refractory aGVHD patients. On day 28 of treatment, CD8⁺CD28^- T cells (P=0.03) significantly increased in patients with aGVHD than that in patients without aGVHD, so did CD8⁺CD28^- T / CD8⁺CD28⁺ T cell ratio (P=0.03). Compared with patients without aGVHD, patients with aGVHD had lower level of G-MDSC, especially on day 14 after allo-HSCT (P=0.04). Compared with pre-treatment, M-MDSC was higher in CR patients on day 3 and 7 post-treatment (P₃=0.01, P₇=0.03), e-MDSC was higher on day 28 post-treatment (P=0.01). Moreover, compared with CR patients, M-MDSC was lower in refractory aGVHD patients on day 3 post-treatment (P=0.01) and e-MDSC was lower on day 28 post-treatment (P=0.01). Compared with steroids group, MDSC in steroids-ruxolitinib group was higher, with the most significant difference in M-MDSC (P₃=0.0351; P₇=0.0142; P₁₄=0.0369). CONCLUSION We found that patients newly diagnosed intermediate- to high-risk aGVHD receiving first-line therapy with steroids-ruxolitinib achieved high response rate. Moreover, the novel first-line therapy has a small impact on the immune reconstitution of patients after allo-HSCT. Elevated MDSC might predict a better response in aGVHD patients receiving this novel first-line therapy. M-MDSC responded earlier to steroids-ruxolitinib than e-MDSC, G-MDSC.
Graft vs Host Disease ; Hematopoietic Stem Cell Transplantation ; Humans ; Kinetics ; Myeloid-Derived Suppressor Cells ; Nitriles ; Pyrazoles ; Pyrimidines ; Retrospective Studies ; Steroids

Antibodies, Viral ; blood ; Betacoronavirus ; Coronavirus ; immunology ; Coronavirus Infections ; immunology ; Humans ; Immunoglobulin G ; blood ; Pandemics ; Pneumonia, Viral ; immunology

Objective To evaluate GeneXpert MTB/RIF in diagnosis of pulmonary tuberculosis by comparing the lab results of diagnosed patients. Methods A total of 97 diagnosed pulmonary tuberculosis patients were enrolled from July 2017 to June 2018.Sputum smear microscopy (Ziehl-Neelsen stain), sputum culture (MGIT liquid culture) and Xpert MTB/RIF were conducted in all patients.Drug susceptibility test and strain identification by PNB were done for culture positive sputum samples.Consistency rate was calculated. Results In terms of M.tuberculosis detection, sensitivity and specificity of GeneXpert were 93.44% and 55.55%, respectively, compared with bacteriological examination (consistency rate 79.38%).Consistency rate of GeneXpert and PNB is 94.55%.In terms of RIF resistance test, sensitivity and specificity of GeneXpert were 66.67% and 98.08%, respectively, compared with phenotypic drug-susceptibility testing (consistency rate 96.36%). Conclusion GeneXpert MTB/RIF can be utilized in combination with smear microscopy and liquid culture to diagnose more etiologically positive patients, and can spot RIF resistance patients early.But strain identification and drug susceptibility test are still needed for individualized therapy and optimal treatment outcome.

The paper highlights the three key words:city, health and development.On the one hand, it is necessary to understand the city with systematic thinking, to focus on the health gap and health equity of different populations in the same city, and the continuous spectrum of health indicators or disease distribution in the same population.On the other hand, it is suggested to establish a "participatory governance" model in Healthy City development-government for health, to further promote the development of healthy cities.Finally, it briefly introduces the report of "Healthy City 2.0-Towards a Planet City" presented by Professor Hancock at the 23rd International Conference on Health Promotion of IUHPE, 2019 in New Zealand.

To address the increasing need for detecting and validating protein biomarkers in clinical specimens, mass spectrometry (MS)-based targeted proteomic techniques, including the selected reaction monitoring (SRM), parallel reaction monitoring (PRM), and massively parallel data-independent acquisition (DIA), have been developed. For optimal performance, they require the fragment ion spectra of targeted peptides as prior knowledge. In this report, we describe a MS pipe-line and spectral resource to support targeted proteomics studies for human tissue samples. To build the spectral resource, we integrated common open-source MS computational tools to assemble a freely accessible computational workflow based on Docker. We then applied the workflow to gen-erate DPHL, a comprehensive DIA pan-human library, from 1096 data-dependent acquisition (DDA) MS raw files for 16 types of cancer samples. This extensive spectral resource was then applied to a proteomic study of 17 prostate cancer (PCa) patients. Thereafter, PRM validation was applied to a larger study of 57 PCa patients and the differential expression of three proteins in prostate tumor was validated. As a second application, the DPHL spectral resource was applied to a study consisting of plasma samples from 19 diffuse large B cell lymphoma (DLBCL) patients and 18 healthy control subjects. Differentially expressed proteins between DLBCL patients and healthy control subjects were detected by DIA-MS and confirmed by PRM. These data demonstrate that the DPHL supports DIA and PRM MS pipelines for robust protein biomarker discovery. DPHL is freely accessible at https://www.iprox.org/page/project.html?id=IPX0001400000.