OBJECTIVE To construct and evaluate nomogram prediction model for refractory chemotherapy-induced nausea and vomiting （CINV）. METHODS The data of malignant tumor patients who received chemotherapy at the Third People’s Hospital of Zhengzhou from January 2017 to December 2023 were collected. These patients were categorized into the occurrence group and the non-occurrence group according to the occurrence of refractory CINV. Multivariate Logistic regression analysis was employed to screen predictive factors for refractory CINV and constructing a nomogram prediction model. Model performance was assessed via receiver operating characteristic curve analysis. Model calibration was evaluated using Bootstrap resampling. Decision curve analysis （DCA） was used to determine the clinical net benefit of three strategies under different risk thresholds. Clinical impact curves were utilized to assess the clinical value of the model at different risk thresholds. Shapley additive explanations （SHAP） analysis was performed to evaluate individual factor contributions to the predictive model. RESULTS A total of 388 patients were included， with 219 experiencing refractory CINV. Multivariate Logistic regression identified 11 predictive factors for refractory CINV， including gastrointestinal disease history， anticipated nausea and vomiting， chemotherapy-induced emetic risk classification， and electrolyte levels， etc. The model’s area under the curve was 0.80 [95% confidence interval （0.76， 0.84）]， with a mean error of 0.036. DCA demonstrated the prediction model had higher clinical net benefit when the risk threshold was between 0.05 and 0.85. SHAP analysis revealed the top three predictive factors as gastrointestinal disease history （0.924）， chemotherapy- induced emetic risk classification （0.866）， and electrolyte levels （0.581）. CONCLUSIONS Eleven factors， including gastrointestinal disease history， anticipated nausea and vomiting， chemotherapy-induced emetic risk classification， and electrolyte levels， are identified as predictors of refractory CINV. The model based on these factors has good predictive ability， which can be used to predict the risk of refractory CINV.

BACKGROUND: Over 20 million colonoscopies are performed in China annually. An automatic clinical decision support system (CDSS) with accurate semantic recognition of colonoscopy reports and guideline-based is helpful to relieve the increasing medical burden and standardize the healthcare. In this study, the CDSS was built under a hierarchical-label interpretable classification framework, trained by a state-of-the-art transformer-based model, and validated in a multi-center style. METHODS: We conducted stratified sampling on a previously established dataset containing 302,965 electronic colonoscopy reports with pathology, identified 2041 patients' records representative of overall features, and randomly divided into the training and testing sets (7:3). A total of five main labels and 22 sublabels were applied to annotate each record on a network platform, and the data were trained respectively by three pre-training models on Chinese corpus website, including bidirectional encoder representations from transformers (BERT)-base-Chinese (BC), the BERT-wwm-ext-Chinese (BWEC), and ernie-3.0-base-zh (E3BZ). The performance of trained models was subsequently compared with a randomly initialized model, and the preferred model was selected. Model fine-tuning was applied to further enhance the capacity. The system was validated in five other hospitals with 3177 consecutive colonoscopy cases. RESULTS: The E3BZ pre-trained model exhibited the best performance, with a 90.18% accuracy and a 69.14% Macro-F1 score overall. The model achieved 100% accuracy in identifying cancer cases and 99.16% for normal cases. In external validation, the model exhibited favorable consistency and good performance among five hospitals. CONCLUSIONS The novel CDSS possesses high-level semantic recognition of colonoscopy reports, provides appropriate recommendations, and holds the potential to be a powerful tool for physicians and patients. The hierarchical multi-label strategy and pre-training method should be amendable to manage more medical text in the future.
Humans ; Colonoscopy/methods* ; Deep Learning ; Decision Support Systems, Clinical ; Female ; Male

Objective: To assess the exposure levels of lead, cadmium, mercury, arsenic and aluminum in the diets of residents in Henan Province, so as to provide the basis for strengthening food safety supervision. Methods: Six sampling points were selected using stratified random sampling method in Henan Province, including Hebi City, Xiangfu District of Kaifeng City, Jianxi District of Luoyang City, Yuzhou City, Baofeng County and Tanghe County. Food samples were collected and processed into mixed samples of 12 major food categories. The levels of lead, cadmium, mercury, arsenic and aluminum in the samples were measured using inductively coupled plasma mass spectrometry (ICP-MS). Dietary consumption information in Henan Province was collected. The dietary exposure risks of lead, cadmium, mercury, arsenic and aluminum were analyzed using the point estimation method and distribution point estimation method, based on the health guidance values of the Joint FAO/WHO Expert Committee on Food Additives and the margin of exposure (MOE) as the assessment criteria. Results: The dietary exposure level of lead among residents in Henan Province was 41.89 μg/d, which was equivalent to 18.62% of its provisional tolerable weekly intake (PTWI), with cereals and vegetables being the main sources; the MOE values of lead among residents aged 2 to <7 years and 7 to <13 years were both less than 1. The dietary exposure level of cadmium was 10.79 μg/d, which was equivalent to 20.55% of the provisional monthly tolerable intake, with cereals and vegetables being the main sources. The dietary exposure level of total mercury was 0.45 μg/d, which was equivalent to 1.25% of its PTWI, with cereals, vegetables, and water and beverage categories being the main sources; the dietary exposure level of methylmercury was 0.04 μg/d, which was equivalent to 0.28% of its PTWI, and it was entirely derived from aquatic products. The dietary exposure level of total arsenic was 26.65 μg/d, which was equivalent to 0.89% of the daily allowable intake, with cereals and vegetables being the main sources; the dietary exposure level of inorganic arsenic was 8.41 μg/d, which was equivalent to 6.23% of its PTWI, with an MOE value of 22.47. The dietary exposure level of aluminum was 8.27 mg/d, which was equivalent to 45.94% of its PTWI, with cereals and tubers being the main sources; the P90 and P97.5 of dietary aluminum exposure among residents aged 2 to <7 years and 7 to <13 years were both greater than PTWI. Conclusion The overall dietary exposure risks of lead, cadmium, mercury, arsenic and aluminum among residents in Henan Province are relatively low.

Objective:To investigate the effect of the magnetic stimulation of the sacral nerve on detrusor weakness after spinal cord injury. Method:36 individuals with detrusor weakness after spinal cord injury were divided into experimental group and control group after randomization.Both groups received conventional rehabilitation treatment,besides,the experimental group received repetitive functional magnetic stimulation(rFMS)on S3 nerve roots.Before treat-ment and after 4-weeks treatment,the simple bladder capacity,bladder ultrasound,self-rating anxiety scale were observed. Result:The maximum automatic micturition volume,average automatic micturition volume,residual urine vol-ume,initial uriesthesis,and anxiety self-evaluation score of the two groups were improved after intervention.And the improvements are more in experimental group(P＜0.05). Conclusion:The effect of the rFMS on individuals with detrusor weakness after spinal cord injury is signifi-cantly better than conventional intervention,which provides a new idea for the clinical treatment of neurogenic bladder with detrusor weakness.

Objective To construct plasmids and knock out HIF-1α gene expression in an naked mole rat skin fibroblasts(NSF)cell line using CRISPR/Cas9 genomic editing technology,to provide an in vitro cell model for studying the mechanism of hypoxia tolerance and the occurrence and development of hypoxia-related diseases in naked mole rats.Methods We designed four pairs of single guide RNA(sgRNA)sequences targeting exons 1～4 of the NSF HIF-1αgene and successfully constructed an expression plasmid.The plasmid with the optimal sgRNA was identified and transfected into 293T cells,and the supernatant was used for detecting the virus titer.Lentivirus particles carrying sgRNAs of HIF-1α were transfected into NSF cells which express Cas9 protein,based on a previous protocol.After transfection,fluorescence signals were observed under a fluorescence microscope,and HIF-1α expression in NSF cells was detected by Western Blot and T7 endonuclease 1(T7E1)analysis.Results Sanger sequencing showed that the designed sgRNA was successfully inserted into pX459 and pKLV2-U6-sgRNA2 vectors,demonstrating successful construction of a recombinant plasmid for transfection.T7E1 digestion successfully removed three bands and the target efficiency of sgRNA was 54％.Western Blot showed that the HIF-1α gene was successfully knocked out and its protein level was significantly reduced in NSF cells from naked mole rats(P=0.0019).There were no obvious morphological changes in HIF-1α-knockout cells under the microscope,and gene knockout had no obvious effect on cell proliferation.Conclusions We successfully constructed an HIF-1α-knockout cell line using CRISPR/Cas9 technology,to provide an experimental basis for further studies of the biological function of HIF-1α,as well as the mechanism of hypoxia tolerance in naked mole rats.The result also provide a theoretical foundation for the prevention and treatment of hypoxia-related diseases.

Objective:To construct pancreatic cancer cell lines expressing luciferase and mesothelin (MSLN), and evaluate the feasibility of using them as target cells in analyzing the cytotoxicity activity of immune cells.Methods:Lentiviral vectors expressing luciferase and MSLN genes were constructed, and pancreatic cancer cell lines were infected after lentivirus packaging. Single-cell clones were obtained by limited dilution following antibiotic screening, and the stable expression of the target genes were verified. These cells were used as target cells to detect the cytotoxicity of immune cells by real-time cell analysis (RTCA) and luciferase activity. Besides, these luciferase-expressing cells were transplanted into B-NDG mice to establish the animal models of pancreatic cancer, and in vivo optical imaging technology was used to detect the expression of luciferase and monitor the tumor growth in mice. The cytotoxicity of chimeric antigen receptor T (CAR-T) cells was verified in these animal models. Results:Three pancreatic cancer cell lines, panc-1-luc, panc-1-luc-MSLN and capan-2-luc, that could stably express luciferase and MSLN genes were successfully constructed. The expression of the reporter gene in these cells were high, and positively correlated with the number of cells. There were 95.6% of panc-1-luc-MSLN cells expressing MSLN. MSLN-CAR-T cells had specific killing effect on MSLN-positive panc-1-luc-MSLN cells and capan-2-luc cells, with the minimum killing rates of (70.00±18.19)% and (57.00±5.29)%, respectively. But they had no cytotoxicity to MSLN-negative panc-1-luc cells. RTCA results showed that MSLN-CAR-T cells were able to lyse all three pancreatic cancer cell lines, and the minimum killing rates were (56.33±7.64)%, (93.00±2.65)% and (26.33±28.15)%, respectively. The killing of target cells by NK-92MI cells was not depended on MSLN expression. The cytotoxicity in the mice models of pancreatic cancer was consistent with the results in vitro. The in vivo and in vitro test results suggested that the expression of luciferase by target cells could reflect the cytotoxicity of immune cells. Conclusions:This study establishes three pancreatic cancer cell lines stably expressing luciferase, which can be used to evaluate the cytotoxicity of immunotherapy products targeting tumor cells in vitro and in vivo.

OBJECTIVE To evaluate the effects of ABCB1 genotypes on the efficacy and safety of taxanes in the treatment of breast cancer. METHODS By searching Embase，the Cochrane Library， PubMed， CNKI， and Wanfang databases， cohort studies and case-control studies about taxanes in the treatment of breast cancer were collected from the establishment of the database to July 2023. After screeningliterature， extracting data and evaluating quality， meta-analysis was performed by using RevMan 5.3 software. RESULTS A total of 11 studies were included， involving 1 321 patients. There was no correlation between the three genotypes and effective rate， the incidence of myelosuppression， the incidence of neurotoxicity （except for the allele and recessive model of ABCB1 C1236T）， and the incidence of hypersensitivity reactions （P＞0.05）. The subgroup analysis showed that there was a correlation between ABCB1 C1236T dominant model and effective rate when using anthracyclines+5-fluorouracil+cyclophosphamide+taxanes （P＜0.05）， there was a correlation between ABCB1 C3435T recessive model and effective rate when using taxanes+trastuzumab （P＜0.05）. ABCB1 C1236T allele model and recessive model were correlated with sample size ≥100 and using cyclophosphamide+epirubicin+5- fluorouracil+paclitaxel or cyclophosphamide+epirubicin+paclitaxel+trastuzumab or cyclophosphamide+epirubicin+5-fluorouracil+ trastuzumab+paclitaxel regimens； recessive model with sample size ＜100 and the African region were correlated with the incidence of peripheral neuropathy； recessive model was correlated with cutaneous adverse reactions （P＜0.05）. ABCB1 C3435T recessive model was correlated with the incidence of reduced neutrophil count with sample size ≥100； the incidence of white blood cell count reduction with sample size ＜100 and using docetaxel+epirubicin+cyclophosphamide was correlated with both the allele model and the dominant model； the incidence of infections was correlated with the dominant model （P＜0.05）. The incidence of neutrophil count reduction with the sample size ＜100 was correlated with allele model of ABCB1 G2677T/A； the incidence of edema with sample size ≥100 was correlated with allele model and recessive model； the incidence of infection was correlated with allele model and dominant model， especially in patients with neutrophil count complicated with fever （P＜0.05）. CONCLUSIONS ABCB1 genotypes are not correlated with effective rate of taxanes in the treatment of breast cancer， but ABCB1 C3435T genotype is associated with decreased neutrophil counts， decreased white blood cell counts and infections； ABCB1 C1236T genotype is associated with neurotoxicity and cutaneous adverse reactions； ABCB1 G2677T/A genotype is associated with decreased neutrophil counts， infections， and edema.

Objective:To investigate the value of systemic inflammatory response syndrome (SIRS), pediatric sequential organ failure assessment (pSOFA) and pediatric critical illness score (PCIS) in predicting mortality of pediatric sepsis in pediatric intensive care units (PICU) from Southwest China.Methods:This was a prospective multicenter observational study. A total of 447 children with sepsis admitted to 12 PICU in Southwest China from April 2022 to March 2023 were enrolled. Based on the prognosis, the patients were divided into survival group and non-survival group. The physiological parameters of SIRS, pSOFA and PCIS were recorded and scored within 24 h after PICU admission. The general clinical data and some laboratory results were recorded. The area under the curve (AUC) of the receiver operating characteristic curve was used to compare the predictive value of SIRS, pSOFA and PCIS in mortality of pediatric sepsis.Results:Amongst 447 children with sepsis, 260 patients were male and 187 patients were female, aged 2.5 (0.8, 7.0) years, 405 patients were in the survival group and 42 patients were in the non-survival group. 418 patients (93.5%) met the criteria of SIRS, and 440 patients (98.4%) met the criteria of pSOFA≥2. There was no significant difference in the number of items meeting the SIRS criteria between the survival group and the non-survival group (3(2, 4) vs. 3(3, 4) points, Z=1.30, P=0.192). The pSOFA score of the non-survival group was significantly higher than that of the survival group (9(6, 12) vs. 4(3, 7) points, Z=6.56, P<0.001), and the PCIS score was significantly lower than that of the survival group (72(68, 81) vs. 82(76, 88) points, Z=5.90, P<0.001). The predictive value of pSOFA (AUC=0.82) and PCIS (AUC=0.78) for sepsis mortality was significantly higher than that of SIRS (AUC=0.56) ( Z=6.59, 4.23, both P<0.001). There was no significant difference between pSOFA and PCIS ( Z=1.35, P=0.176). Platelet count, procalcitonin, lactic acid, albumin, creatinine, total bilirubin, activated partial thromboplastin time, prothrombin time and international normalized ratio were all able to predict mortality of sepsis to a certain degree (AUC=0.64, 0.68, 0.80, 0.64, 0.68, 0.60, 0.77, 0.75, 0.76, all P<0.05). Conclusion:Compared with SIRS, both pSOFA and PCIS had better predictive value in the mortality of pediatric sepsis in PICU.

Objective:To explore the effectiveness of limb motor rehabilitation program based on patient health engagement (PHE) model in patients with hemorrhagic stroke, and to provide reference for the limb motor rehabilitation management of hemorrhagic stroke patients.Methods:Through literature review and Delphi expert correspondence, a limb motor rehabilitation program for hemorrhagic stroke patients based on the PHE model was constructed. A non-contemporaneous controlled study was conducted, 45 hemorrhagic stroke patients hospitalized in the Department of Neurosurgery of Shanxi Bethune Hospital from March to August 2022 were selected by convenience sampling method as the control group, and routine exercise rehabilitation measure was given, 45 hemorrhagic stroke patients from September 2022 to February 2023 were selected as the intervention group, a limb motor rehabilitation program based on PHE model was implemented on the basis of control group. The functional exercise compliance, limb motor function, daily activity ability, emotional and social dysfunction of patients in the two groups were observed before intervention, 1 and 3 months after intervention respectively.Results:A total of 85 patients with hemorrhagic stroke were included. There were 42 patients in the intervention group, 25 males and 17 females, aged (52.07 ± 9.91) years old, and 43 patients in the control group, 21 males and 22 females, aged (53.93 ± 10.52) years old. There were no significant differences in the functional exercise compliance, limb motor function, daily activity ability, emotional and social dysfunction of patients before intervention between the two groups. At 3 months after intervention, the functional exercise compliance score in the intervention group was (40.83 ± 7.92) points, higher than that in the control group (37.14 ± 6.44) points, and the difference was statistically significant ( t = 2.36, P<0.05). At 1 and 3 months after intervention, the scores of limb motor function and daily activity ability in the intervention group were (27.12 ± 6.74), (33.67 ± 6.54) points and (61.31 ± 6.72), (74.40 ± 8.71) points, which were higher than (24.91 ± 6.03), (27.02 ± 6.59) points and (52.33 ± 9.78), (60.12 ± 10.03) points of the control group, the differences were statistically significant ( t values were 2.06-7.01, all P<0.05), the scores of emotional and social dysfunction were (75.52 ± 22.09) and (58.33 ± 18.88) points, which were lower than (86.02 ± 23.04), (78.51 ± 21.67) points of the control group, and the differences were statistically significant ( t = - 2.14, - 4.57, both P<0.05). Conclusions:The limb motor rehabilitation program based on the PHE model could improve the exercise compliance of patients with hemorrhagic stroke, improve the limb motor function and daily activity ability of patients, alleviate negative emotions, and reduce the level of social dysfunction.