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OBJECTIVE To construct a risk prediction model for bloodstream infection （BSI） induced by carbapenem-resistant Klebsiella pneumoniae （CRKP）. METHODS Retrospective analysis was conducted for clinical data from 253 patients with BSI induced by K. pneumoniae in the First Hospital of Qinhuangdao from January 2019 to June 2022. Patients admitted from January 2019 to December 2021 were selected as the model group （n＝223）， and patients admitted from January 2022 to June 2022 were selected as the validation group （n＝30）. The model group was divided into the CRKP subgroup （n＝56） and the carbapenem- sensitive K. pneumoniae （CSKP） subgroup （n＝167） based on whether CRKP was detected or not. The univariate and multivariate Logistic analyses were performed on basic information such as gender， age and comorbid underlying diseases in two subgroups of patients； independent risk factors were screened for CRKP-induced BSI， and a risk prediction model was constructed. The established model was verified with patients in the validation group as the target. RESULTS Admissioning to intensive care unit （ICU）， use of immunosuppressants， empirical use of carbapenems and empirical use of antibiotics against Gram-positive coccus were independent risk factors of CRKP-induced BSI （ORs were 3.749， 3.074， 2.909， 9.419， 95%CIs were 1.639-8.572， 1.292- 7.312， 1.180-7.717， 2.877-30.840， P＜0.05）. Based on this， a risk prediction model was established with a P value of 0.365. The AUC of the receiver operating characteristic （ROC） curve of the model was 0.848 [95%CI （0.779， 0.916）， P＜0.001]， and the critical score was 6.5. In the validation group， the overall accuracy of the prediction under the model was 86.67%， and the AUC of ROC curve was 0.926 [95%CI （0.809， 1.000]， P＜0.001]. CONCLUSIONS Admission to ICU， use of immunosuppressants， empirical use of carbapenems and empirical use of antibiotics against Gram-positive coccus are independent risk factors of CRKP- induced BSI. The CRKP-induced BSI risk prediction model based on the above factors has good prediction accuracy.
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ObjectiveTo investigate the influencing factors for the clinical outcome of patients with drug-induced liver injury （DILI）， and to establish a nomogram prediction model for validation. MethodsA retrospective analysis was performed for the general information and laboratory data of 188 patients with DILI who were admitted to Heilongjiang Provincial Hospital Affiliated to Harbin Institute of Technology from January 2017 to December 2022， and according to their clinical outcome， they were divided into good outcome group with 146 patients and poor outcome group with 42 patients. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. Univariate and multivariate Logistic regression analyses were used to investigate the independent influencing factors for the clinical outcome of DILI patients. R Studio 4.1.2 software was used to establish a nomogram model， and calibration curve， receiver operating characteristic （ROC） curve， and decision curve analysis （DCA） were used to perform internal validation. ResultsThe univariate Logistic regression analysis showed that liver biopsy for the diagnosis of DILI， platelet count， cholinesterase， albumin， prothrombin time activity， IgM， and IgG were associated with adverse outcomes in patients with DILI. The multivariate Logistic regression analysis showed that liver biopsy for the diagnosis of DILI （odds ratio ［OR］=0.072， 95% confidence interval ［CI］： 0.022 — 0.213， P<0.001）， clinical classification （OR=0.463， 95%CI： 0.213 — 0.926， P=0.039）， alanine aminotransferase （OR=0.999， 95%CI： 0.998 — 1.000， P=0.025）， prothrombin time activity （OR=0.973， 95%CI： 0.952 — 0.993， P=0.011）， and IgM （OR=1.456， 95%CI： 1.082 — 2.021， P=0.015） were independent influencing factors for clinical outcome in patients with DILI. The nomogram prediction model was established， and after validation， the calibration curve was close to the reference curve. The area under the ROC curve was 0.829， and the DCA curve showed that the model had good net clinical benefit. ConclusionThe nomogram prediction model established in this study has good clinical calibration， discriminative ability， and application value in evaluating the clinical outcome of patients with DILI.
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Objective:To explore the risk factors for cognitive impairment 3 months after an ischemic stroke and their predictive value.Methods:A retrospective case-control study considered the records of 856 elderly patients who had survived an ischemic stroke. All had been evaluated using the Montreal Cognitive Assessment scale (MoCA). They were divided according to their MoCA scores into a group without cognitive impairment (the PSNCI group) and an impaired (PSCI) group. The subjects′ demographic and clinical laboratory data were compiled. All had been assessed using the National Institutes of Health stroke scale (NIHSS), the Barthel Index (BI), and the Hamilton depression scale (HAMD). Univariate and multivariate logistic regressions were evaluated and a receiver operator characteristics (ROC) curve was computed.Results:There were significant differences between the two groups in terms of gender distribution, age, hypertension and heart disease history, family history of dementia and education level. Moreover, significant differences were observed in the groups′ average total cholesterol (TC), triglyceride (TG), high density lipoprotein (HDL), urinary neurofilament protein (AD7c-NTP), NIHSS scores, BIs and ADL scores. Logistic regression showed that a history of heart disease, urinary AD7C-NTP level and HAMD score were significant independent predictors of cognitive impairment 3 months after a stroke. A high BI was an independent protective factor. The area under the ROC curve for urinary AD7C-NTP was the largest (0.875) and had significant predictive value with a cut-off value of 2.43, sensitivity of 0.94 and specificity of 0.75.Conclusion:Age, sex, education, smoking, drinking, body mass index, a history of heart disease or stroke, a family history of dementia and elevated AD7C-NTP, TC or TG are risk factors for cognitive impairment after a stroke. A high BI suggests a better prognosis. Urinary AD7c-NTP is a useful predictor of PSCI 3 months after a stroke.
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Objective:To investigate the impact of group-based rehabilitation exercise on motor and non-movement symptoms of Parkinson's disease(PD).Methods:A total of 88 patients from out-patient and in-patient services at our hospital were randomly assigned to an early exercise group(E-EG), a late exercise group(L-EG), and a control group(CG)using a randomized delayed-start design.Patients in the E-EG carried out a rigorous, formal group exercise program, one hour per session, twice per week, for 18 months(May 2018-November 2019). Patients in the L-EG took part in the exercise program in the final 6-12 months of the study.We assessed outcomes using the Unified Parkinson's Disease Rating Scale(UPDRS), Parkinson's disease questionnaire-39(PDQ-39 Q), trail-making test part A & B, nine-hole peg test(9-HPT), 30 second sit to stand test(30s SST), 10 m walk test(10 m W), mini-balance evaluation systems test(Mini-BEST), Fullerton Advanced Balance(FAB)Scale and time up and go(TUG)test.Results:Compared with pre-exercise levels, patients with PD in the E-EG had lower performance in UPDRS(17.5±8.3 vs.20.0±8.6, t=-2.2, P=0.02)and lower performance in PDQ-39(27.2±2.1 vs.29.0±9.8, t=-2.6, P=0.001)after exercise.Moreover, compared with pre-exercise levels, patients with PD in the E-EG showed decreased post-exercise performance in trail-making test part B(114.2±25.5 vs.129.8±28.4, t=-2.3, P=0.02)and in 9-HPT(33.7±7.3 vs.39.6±9.3, t=-2.6, P=0.001). Conclusions:The practice of group-based rehabilitation exercise can improve movement abilities and quality of life in PD patients, especially if implemented early.Targeted rehabilitation exercise should be taken as part of the treatment strategy for PD patients as early as possible to deliver the best benefits.
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Objective:To explore the risk factors of mortality in patients with Klebsiella pneumoniae bloodstream infection, and to construct a predictive model. Methods:The clinical data of 234 patients with Klebsiella pneumoniae bloodstream infection admitted in the First Hospital of Qinhuangdao from January 2020 to December 2022 were retrospectively analyzed, including 202 cases admitted during January 2020 to June 2022 (model set), and 32 cases admitted during July to December 2022 (validation set). There were 64 cases died (fatal group) and 138 cases survived (survival group) within 28 d after admission in model set. Multivariate Logistic regression was used to analyze the risk factors of death in patients with Klebsiella pneumoniae bloodstream infection and a mortality prediction model was constructed. The constructed model was applied in validation set, and the consistency between predicted mortality and real mortality was analyzed. Results:Multivariate Logistic regression analysis showed that male sex ( OR=2.598, 95% CI 1.179-5.725, P=0.018), age≥65 years ( OR=4.420, 95% CI 2.029-9.627, P<0.001), admitted to intensive care unit (ICU) ( OR=10.299, 95% CI 4.752-22.321, P<0.001), and the empirical use of quinolones antibiotics ( OR=4.288, 95% CI 1.127-16.317, P=0.033) were independent risk factors for 28-day mortality in Klebsiella pneumoniae bloodstream infection patients. The regression equation for predicting the risk of death was -3.469+ male × 0.955+ age ≥ 65 years × 1.486+ admitted to ICU × 2.332+ empirical use of quinolone antibiotics × 1.456. The area under the ROC curve (AUC) for predicting death in the model set was 0.831, with sensitivity and specificity of 71.9% and 80.4%, respectively. The AUC for predicting death in the validation set was 0.881, with sensitivity and specificity of 91.7% and 75.0%, respectively. Conclusion:The constructed mortality prediction model in the study has good application value for the prognosis of patients with Klebsiella pneumoniae bloodstream infection.
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Objective:To investigate predictive value of model based on pre-surgical 18F-FDG PET/CT metabolic parameters for mediastinal lymph node metastasis (LNM) in lung adenocarcinoma. Methods:A total of 288 patients with lung adenocarcinoma (135 males, 153 females, age (61.6±8.5) years) who diagnosed and treated in the Fourth Hospital of Hebei Medical University from January 2016 to February 2021 were enrolled retrospectively. All patients underwent 18F-FDG PET/CT examination within 1 month before operation, and underwent complete resection of primary lung tumor and standard lymph node dissection. PET/CT parameters were extracted (PET metabolic parameters: minimum SUV(SUV min), SUV max, SUV mean, SUV standard deviation (SUV std), metabolic tumor volume (MTV) and total lesion glycolysis (TLG); CT parameters: minimum CT value (HU min), maximum CT value (HU max), mean CT value (HU mean), CT value standard deviation (HU std)). Multivariate logistic regression analysis was used for screening parameters and establishing model to predict LNM. ROC curves analyses were used to evaluate the predictive performance of models. Results:Among 288 patients, 90 had LNM, and 361 metastatic lymph nodes (N1: 186, N2: 175) were reported by pathology. SUV min (odds ratio ( OR)=1.859, 95% CI: 1.074-3.220, P=0.027), SUV max ( OR=2.255, 95% CI: 1.306-3.893, P=0.004), SUV mean ( OR=0.277, 95% CI: 0.115-0.665, P=0.004) were predictors of LNM. The AUC of PET/CT model was 0.849 (95% CI: 0.804-0.893), and the sensitivity, specificity, accuracy, and positive and negative predictive values were 87.8%(79/90), 72.2%(143/198), 77.1%(222/288), 59.0%(79/134) and 92.9%(143/154), respectively. Conclusion:The model based on 18F-FDG PET/CT metabolic parameters can improve the accuracy of pre-surgical N-staging in patients with lung adenocarcinoma.
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This study summarizes related studies on readiness for online teaching in China and globally and constructs an online teaching readiness scale for higher education teachers with reference to related studies on online teaching competency, blended teaching readiness, and influencing factors for online teaching. This scale includes five dimensions, i.e., belief, teaching readiness, technical readiness, online communication readiness, and institutional support. A questionnaire survey and statistical analyses were performed to investigate the rationality of the scale, and then the scale was modified. The results show that the indicators of the scale have a good degree of fitting, and this study provides a necessary standard for examining the online teaching readiness of higher education teachers and new ideas for online teaching in colleges and universities.
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The objectives of the paper is to more accurate understand the use demands of wise classrooms for medical students, and provide scientific basis for wise classroom managers when formulating wise classroom environment optimization strategies. In the paper, the questionnaire survey method was used to investigate 23 indicators in 4 dimensions of hardware facilities, information technology, teaching methods and medical wise classroom features. And the data of 1 074 questionnaires were analyzed using KANO model analysis technology and satisfaction importance quadrant chart. Among the 23 demand indicators, there are 6 required attributes, 7 expected attributes, 9 charm attributes and 1 non-differential attribute. According to the theoretical importance ranking of the KANO model, wise classroom managers should first improve the quality of indicators related to necessary attributes, give priority to the quality of indicators related to expected attributes, and finally meet the requirements of indicators related to charm attributes. Relevant policies and construction suggestions for smart classrooms are put forward from the three levels of school top-level design, teachers and managers in the paper.
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Objective:To explore the intervention effect of humanistic management on anxiety and depression tendency of visiting physicians.Methods:The visiting physicians who began to further study in Beijing Anzhen Hospital, Capital Medical University from January 2016 to December 2018 were selected for humanistic management, and the visiting physicians from April 2013 to December 2015 were set as reference to conduct a questionnaire survey before and after the refresher training with the Hospital Anxiety and Depression Scale. Therefore, the visiting doctors all had the conventional refresher study management mode. On this basis, the intervention group established an individualized refresher study schedule, equipped the doctors with tutors, regularly visited the doctors and organized symposiums for them, assisted them to join the academic groups of the department, organized and coordinated the doctors to participate in the multi-disciplinary academic ward rounds, conducted negative emotional relief through the Balint groups, and integrated the cultural life of the refresher doctors into the cultural construction of the hospital and follow up the refresher doctors after the refresher training. SPSS 16.0 was used to perform t-test and variance analysis. Results:There was no difference in anxiety and depression scores between the two groups according to gender, type of refresher department, level of source hospital and length of study ( P > 0.05). Compared with the two evaluations in the intervention group, the second scores of anxiety for men and women [(5.90±1.37) vs . (6.48±1.87), (5.92±1.45) vs . (6.73±2.12)], doctors in each department [(5.50±1.23) vs . (6.76±2.35), (6.03±1.36) vs . (6.64±1.75), (5.98±1.50) vs . (6.64±2.15)], doctors from secondary and tertiary hospitals [(5.85±1.29) vs . (6.64±2.02), (6.00±1.50) vs . (6.78± 2.14)], the total score of doctors [(5.92±1.37) vs . (6.64±2.15), (5.92±1.47) vs . (6.68±1.98)] and the total score [(5.92±1.42) vs. (6.66±2.05)] were lower than the first evaluation score ( P<0.05). The second scores of depression for female doctors [(6.15±1.37) vs . (6.68±2.06)], doctors in medical laboratory department [(6.02±1.40) vs . (6.69±1.88)], doctors from tertiary hospital [(6.13±1.41) vs. (6.51±1.90)], doctor with different training durations [(6.04±1.42) vs . (6.50±2.02), (6.12±1.34) vs . (6.57±1.97)] and the total score of doctors [(6.09±1.37) vs . (6.54±1.99)] were lower than those of the first evaluation ( P < 0.05). The anxiety score of the second evaluation in the control group was higher in male physicians [(6.63±1.15) vs . (6.11±1.76)] than the first evaluation ( P < 0.05). Compared with the second evaluation data of doctors in the two groups, in terms of anxiety scores, the scores of doctors at all levels and total scores in the intervention group were lower than those in the control group ( P < 0.05); in terms of depression score, the scores of female visiting doctors, doctors from tertiary hospitals, doctors with refresher training duration of 6 months and total score were lower than those of the control group ( P < 0.05). Conclusion:The application of humanistic management to strengthen the management of refresher physicians can improve the psychological state of refresher doctors to a certain extent, especially alleviate the anxiety state, which is a worthy promotion of refresher management mode.
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The medical massive open online course (MOOC) quality certification standard is the reference for the implementation of medical MOOC quality monitoring. This thesis utilizes data mining, quantitative analysis, qualitative analysis and other methods, taking the comment text of the Chinese medicine courses on the Ai Course (MOOC of China Universities) platform as the data source out of which to extract certain potential indicators for the medical MOOC quality certification standard. Based on the analysis of the existing research results on MOOC quality evaluation domestic and abroad as well as the relevant policies of the Ministry of Education, a medical MOOC quality accreditation standard including 6 first-level indicators are formed, including course content, teaching design and so on. Expert scores and AHP method were used to calculate the weight coefficient of the quality certification standard. Finally, this paper explains the procedure of medical MOOC quality certification in college. This certification system can be used to conduct self-assessment and quality monitoring of medical MOOC in colleges and universities.
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Objective:To investigate the changes and clinical significance of high mobility group protein B1 (HMGB1) in condyloma acuminatum (CA).Methods:Sixty four patients with initial CA(initial group) and 48 patients with recurrent CA(recurrent goup) treated in the Second Affiliated Hospital of PLA Air Force Military Medical University Hospital from January 2019 to November 2020 were included. In the same period, 31 patients who underwent circumcision and 19 female underwent sexual organ cosmetic plastic surgery were taken as the control group, and the normal foreskin and healthy vulva were collected. The expression of HMGB1 in wart was detected by real-time quantitative polymerase chain reaction(RT-PCR), and the expression of soluble apoptosis related factor ligand (sFasL), cell lymphoma-2 gene (Bcl-2), soluble apoptosis related factor (SFAS) and Survivin, caspase-3 were detected. At the same time, serum interleukin (IL) - 6, IL-17, IL-23 and tumor necrosis factor - α (TNF- α) were detected by enzyme-linked immunosorbent assay(ELISA).Results:The expression of HMGB1 mRNA in the warts of patients in the initial group, recurrence group and control group were 1.96 ± 0.20, 1.53 ± 0.14, 1.05 ± 0.11, there was statistical difference ( F = 15.20, P<0.05) ; the expression of HMGB1 mRNA in the warts of patients in the initial group was significantly higher than that in the recurrence group and the control group ( P<0.05), and the recurrence group was also significantly higher than that in the control group ( P<0.05). The mRNA expressions of sFas, Bcl-2, sFasL and caspase-3 in the warts of patients in the initial group were significantly lower than those in the recurrence group and the control group: 0.52 ± 0.08 vs. 0.82 ± 0.16, 1.10 ± 0.19; 0.50 ± 0.05 vs. 0.79 ± 0.13, 1.08 ± 0.21; 0.47 ± 0.06 vs. 0.81 ± 0.15, 1.01 ± 0.19; 0.35 ± 0.04 vs. 0.68 ± 0.09, 0.91 ± 0.16, P<0.05; and the recurrence group were also significantly lower than those in the control group ( P<0.05). The expression of Survivin mRNA in the warts of patients in the initial group was significantly higher than those in the recurrence group and the control group: 2.14 ± 0.40 vs. 1.60 ± 0.27, 0.99 ± 0.18, P<0.05, and the recurrence group was also significantly higher than that in the control group ( P<0.05). The serum levels of TNF-α and IL-6 in the initial group were significantly lower than that in the recurrence group and the control group: (20.08 ± 1.95) μg/L vs. (26.93 ± 2.74), (37.65 ± 3.83) μg/L; (31.05 ± 3.24) μg/L vs. (38.13 ± 3.76), (45.98 ± 4.69) μg/L, P<0.05; and the recurrence group were also significantly lower than those in the control group ( P<0.05). The serum levels of IL-17 and IL-23 in the primary group were significantly higher than those in the recurrence group and the control group: (423.71 ± 28.68) ng/L vs. (384.26 ± 21.70) and (335.43 ± 19.65) ng/L; (289.50 ± 18.53) ng/L vs. (251.07 ± 15.96) and (214.67 ± 13.20) ng/L, P<0.05; and the recurrence group were also significantly higher than those in the control group ( P<0.05). The results of correlation analysis showed that the mRNA expression of HMGB1 in the warts of CA patients were negatively correlated with the mRNA expression of caspase-3, sFas, Bcl-2 and sFasL in the warts ( r = - 0.602, - 0.734, - 0.692, - 0.717, P<0.05), and was positive correlation with Survivin mRNA expression ( r = 0.645, P<0.05); and were positive correlation with the contents of IL-17 and IL-23 in serum ( r = 0.673, 0.685, P<0.05), and negatively correlated with the contents of TNF-α and IL-6 ( r = - 0.698, - 0.764, P<0.05). Conclusions:HMGB1 is obviously abnormal in the warts of patients with condyloma acuminatum, and is closely related to apoptosis, immune and inflammation-related factors, and may be jointly involved in the occurrence and recurrence of CA.
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Objective:To analyze the influencing factors of delayed nausea and vomiting in patients with primary liver cancer after transarterial chemoembolization based on Logistic regression model and decision tree model.Methods:This was a cross-sectional study. A total of 236 patients with primary liver cancer after transarterial chemoembolization in The Second Affiliated Hospital of Air Force Military Medical University from March 2021 to June 2022 were conveniently selected as the research subjects. The factors related to delayed nausea and vomiting were collected, and Logistic regression and decision tree models were established, respectively, and the differences between the two models were compared.Results:The incidence of delayed nausea and vomiting of patients with primary liver cancer after transarterial chemoembolization was 45.34% (107/236). Logistic regression model showed that age, anxiety, sleep disorder, emetic risk level of chemotherapeutic drugs, embolic agent type, and pain 24 hours after surgery were the influencing factors of delayed nausea and vomiting in patients with primary liver cancer after transarterial chemoembolization(all P<0.05). Decision tree model showed that age, sleep disorder, emetic risk level of chemotherapeutic drugs, embolic agent type, and pain 24 hours after surgery were the influencing factors of delayed nausea and vomiting in patients with primary liver cancer after transarterial chemoembolization (all P<0.05). The classification accuracy rates of Logistic regression, decision tree model and combined diagnosis of two models were 72.9%, 71.2% and 72.0% respectively; the areas under the ROC curve were 0.778, 0.781 and 0.806 respectively, with no significant difference (all P>0.05). Conclusions:The analysis results of Logistic regression and decision tree model on the influencing factors of delayed nausea and vomiting in patients with primary liver cancer after transarterial chemoembolization are highly consistent, which can be combined to provide a more comprehensive reference for the evaluation and intervention of medical staff.
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Objective:To explore the predictive value and prognosis effect of calprotectin on acute kidney injury (AKI) in patients with sepsis.Methods:A prospective observational study was conducted. From December 2018 to November 2020, patients with sepsis admitted to the Emergency Department of China Rehabilitation Research Center were enrolled. General clinical data of patients were collected continuously, and the acute physiology and chronic health evaluationⅡ (APACHEⅡ) score, sequential organ failure assessment (SOFA) score and calprotectin were evaluated in 24 h after admission. The patients were divided into the AKI group and non-AKI group according to the occurrence of AKI within 7 days after admission. Calprotectin level and other clinical data were compared between the two groups. Logistic regression was used to analyze the risk factors for AKI in patients with sepsis, and receiver operating characteristic (ROC) curve was plotted to evaluate the predictive value of calprotectin for AKI in patients with sepsis. The patients with AKI were further divided into the survival group and death group according to the 28-day outcome, and the calprotectin levels between the two groups were compared.Results:A total of 207 patients with sepsis were enrolled, and the incidence of AKI was 68.12% (141/207). The level of calprotectin in patients with AKI was higher than that in patients without AKI [4.65 (3.25, 5.61) μg/mL vs. 3.42 (2.29, 4.09) μg/mL, P < 0.001]. Multivariable Logistic regression analysis showed that APACHEⅡ score ( OR=1.090, 95% CI: 1.043-1.139), C-reactive protein ( OR=1.004, 95% CI: 1.001-1.008) and calprotectin ( OR=1.590, 95% CI: 1.269-1.991) were independent risk factors for AKI in patients with sepsis. The area under ROC curve (AUC) of calprotectin for predicting AKI was 0.716 (95% CI: 0.643-0.788). The cutoff value of prediction was 4.63 μg/mL with the Yoden index of 0.405, which yielded a sensitivity of 0.511 and a specificity of 0.894. When calprotectin was combined with APACHE II score and SOFA score respectively, the predictive ability was significantly improved with the AUC of 0.768 (95% CI: 0.701-0.834) and 0.769 (95% CI: 0.701-0.837), respectively. We further divided patients with AKI into the survival group and non-survival group according to the 28-day outcome and there was no significant difference in calprotectin between the two groups [4.80 (3.40, 5.76) μg/mL vs. 4.19 (2.89, 5.29) μg/mL, P < 0.05]. Conclusions:The level of calprotectin in the AKI group is higher than that in the non-AKI group. Calprotectin can be regarded as an effective predictor of AKI in patients with sepsis, and the combination with APACHEⅡ score or SOFA score will improve its predictive efficacy. However, there is no significant difference in the concentration of calprotectin for patients with sepsis associated AKI with different prognosis.
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Objective: To investigate the prognostic value of preoperative inflammatory and nutritional condition detection in the postoperative survival, and establish a prognostic model for predicting the survival of patients with gastric cancer. Methods: The clinicopathological data of 1123 patients with gastric cancer who had undergone radical gastrectomy in Tianjin Medical University Cancer Institute & Hospital from January 2005 to December 2014 were retrospectively analyzed. Patients with history of other malignancy, with history of gastrectomy, who had received preoperative treatment, who died during the initial hospital stay or first postoperative month, and missing clinical and pathological information were excluded. Cox univariate and multivariate analyses were used to identify independent clinicopathological factors associated with the survival of these gastric cancer patients. Cox univariate analysis was used to identify preoperative inflammatory and nutritional indexes related to the survival of patients with gastric cancer after radical gastrectomy. Moreover, the Cox proportional regression model for multivariate survival analysis (forward stepwise regression method based on maximum likelihood estimation) was used. The independent clinicopathological factors that affect survival were incorporated into the following three new prognostic models: (1) an inflammatory model: significant preoperative inflammatory indexes identified through clinical and univariate analysis; (2) a nutritional model: significant preoperative nutritional indexes identified through clinical and univariate analysis; and (3) combined inflammatory/nutritional model: significant preoperative inflammatory and nutritional indexes identified through clinical and univariate analysis. A model that comprised only pT and pN stages in tumor TNM staging was used as a control model. The integrated area under the receiver operating characteristic curve (iAUC) and C-index were used to evaluate the discrimination of the model. Model fitting was evaluated by Akaike information criterion analysis. Calibration curves were used to assess agreement between the predicted probabilities and actual probabilities at 3-year or 5-year overall survival (OS). Results: The study cohort comprised 1 123 patients with gastric cancer. The mean age was 58.9±11.6 years, and 783 were males. According to univariate analysis, age, surgical procedure, extent of lymph node dissection, tumor location, maximum tumor size, number of examined lymph nodes, pT stage, pN stage, and nerve invasion were associated with 5-year OS after radical gastrectomy for gastric cancer (all P<0.050). Multivariate analysis further identified age (HR: 1.18, 95%CI: 1.03-1.36, P=0.019), maximum tumor size (HR: 1.19, 95%CI: 1.03-1.38, P=0.022), number of examined lymph nodes (HR: 0.79, 95%CI: 0.68-0.92, P=0.003), pT stage (HR: 1.40, 95%CI: 1.26-1.55, P<0.001) and pN stage (HR: 1.28, 95%CI: 1.21-1.35, P<0.001) as independent prognostic factors for OS of gastric cancer patients. Additionally, according to univariate survival analysis, the preoperative inflammatory markers of neutrophil count, percentage of neutrophils, neutrophil/lymphocyte ratio, platelet/neutrophil ratio and preoperative nutritional indicators of serum albumin and body mass index were potential prognostic factors for gastric cancer (all P<0.05). On the basis of the above results, three models for prediction of prognosis were constructed. Variables included in the three models are as follows. (1) Inflammatory model: age, maximum tumor size, number of examined lymph nodes, pT stage, pN stage, percentage of neutrophils, and neutrophil-lymphocyte ratio; (2) nutritional model: age, maximum tumor size, number of examined lymph nodes, pT stage, pN stage, and serum albumin; and (3) combined inflammatory/nutritional model: age, maximum tumor size, number of examined lymph nodes, pT stage, pN stage, percentage of neutrophils, neutrophil-lymphocyte ratio, and serum albumin. We found that the predictive accuracy of the combined inflammatory/nutritional model, which incorporates both inflammatory indicators and nutrition indicators (iAUC: 0.676, 95% CI: 0.650-0.719, C-index: 0.698),was superior to that of the inflammation model (iAUC: 0.662, 95% CI: 0.673-0.706;C-index: 0.675), nutritional model (iAUC: 0.666, 95% CI: 0.642-0.698, C-index: 0.672), and TNM staging control model (iAUC: 0.676, 95% CI: 0.650-0.719, C-index: 0.658). Furthermore, the combined inflammatory/nutritional model had better fitting performance (AIC: 10 762) than the inflammatory model (AIC: 10 834), nutritional model (AIC: 10 810), and TNM staging control model (AIC: 10 974). Conclusions: Preoperative percentage of neutrophils, NLR, and BMI have predictive value for the prognosis of gastric cancer patients. The inflammatory / nutritional model can be used to predict the survival and prognosis of gastric cancer patients on an individualized basis.
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Masculino , Humanos , Persona de Mediana Edad , Anciano , Femenino , Pronóstico , Estudios Retrospectivos , Neoplasias Gástricas/patología , Estadificación de Neoplasias , Gastrectomía , Albúmina SéricaRESUMEN
The current review gives a comprehensive overview of the recent development in Chinese medicine (CM) for treating several kinds of acquired nerve deafness and tinnitus, as well as links the traditional principle to well-established pharmacological mechanisms for future research. To date, about 24 herbal species and 40 related ingredients used in CM to treat hearing loss and tinnitus are reported for the treatment of endocochlear potential, endolymph growth, lowering toxic and provocative substance aggregation, inhibiting sensory cell death, and retaining sensory transfer. However, there are a few herbal species that can be used for medicinal purposes. Nevertheless, clinical studies have been hampered by a limited population sample, a deficiency of a suitable control research group, or contradictory results. Enhanced cochlear blood flow, antiinflammatory antioxidant, neuroprotective effects, and anti-apoptotic, as well as multi-target approach on different auditory sections of the inner ear, are all possible benefits of CM medications. There are numerous unknown natural products for aural ailment and tinnitus identified in CM that are expected to be examined in the future utilizing various aural ailment models and processes.
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Humanos , Acúfeno/tratamiento farmacológico , Medicina Tradicional China , Pérdida Auditiva/tratamiento farmacológicoRESUMEN
ObjectiveAntibiotic resistance genes （ARGs） have received wide attention all over the world. The purpose of this study was to explore the bacterial community structure， the types and levels of antibiotic resistance genes in a water body in east China， and to compare and analyze the characteristics of microbial species distribution and antibiotic resistance gene distribution in various water environments. MethodsA total of 10 households in Haimen City， Jiangsu Province were selected and their surrounding water environment samples were collected. 21 water samples including river water （4）， Mingou water （9） and well water （8） were collected for metagenomics sequencing， assembled with MetaWRAP， annotated with CARD database， and analyzed with R software. ResultsIn various water bodies， the dominant bacteria phyla was Proteobacteria， the dominant bacteria genera were Deuterostomia， Pseudomonas， Flavobacteriales and Streptomycetaceae. The ARGs annotated were mainly composed of quinolones， aminoglycosides， macrolides and beta-lactams antibiotic resistance genes. The top four relative abundance of resistance genes were macB， RanA， evgS and TxR， The average absolute abundance and expression of resistance genes in well water and Mingou water were higher than those in river water. ConclusionMultiple ARGs are detected to varying degrees in well water， river water， and Mingou water bodies， and the expression of resistance genes in well water and Mingou water bodies is higher than that in river water bodies， possibly due to human production and living activities.
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【Objective:】 To explore the influencing factors of ethical cognition of intensive care unit (ICU) nursing staff. 【Methods:】 The convenient sampling method was used to select 530 ICU clinical nursing staff from 4 grade A tertiary hospitals in a city from May 2019 to May 2021 as the subjects. Univariate analysis and multivariate analysis were used to determine the influencing factors of ethical cognition of ICU nursing staff. 【Results:】 The results of univariate analysis showed that there were statistically significant differences in ethics committee knowledge scores and research ethics knowledge scores of nursing staff with different education levels, professional titles, attitudes, and training experiences (P<0.05). Among them, nursing staff with a bachelor’s degree or above had a higher total score of ethical cognition than those with a specialized degree or below (P<0.05), the total score of ethical cognition among professor of nursing was higher than that of nurses, nurse practitioners, and nurses-in-charges (P<0.05), the total score of ethical cognition among nursing staff with positive attitudes was higher than that of general positive nursing staff (P<0.05), and the total score of ethical cognition of nurses with training experience was higher than that of those without training experience (P<0.05). The results of multivariate analysis showed that education level, professional title, attitude, and training experience were all influencing factors of the ethical cognition among ICU nursing staff (P<0.05). 【Conclusion:】 Education level, professional title, attitude, and training experience are all influencing factors affecting the ethical cognition of ICU nursing staff, and the above factors should be combined to improve the cognitive ability of ICU nursing staff through multiple ways.
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As mentioned in this paper, the curriculum team of biotechnological pharmaceutics in Binzhou University reoriented the curriculum objective based on the educational policy: fostering virtue through education and consolidating fundamental spirit and soul. Additionally, the team drew on cutting-edge scientific and technological developments, social hotspots, national spirit, innovative thinking, dedication spirit and other elements, conducted in-depth study on the ideological and political elements of the subject and organically integrated them with the contents such as genetic engineering, cellular engineering, fermentation engineering, enzyme engineering, protein engineering, and established online and offline ideological and political database. Furthermore, with the aid of teaching apps like ‘Rain Classroom’, the teaching models include lecture, case-based teaching, group discussion, and blended teaching for the subject. In the meantime, the ideological and political educational requirements were integrated into the curriculum evaluation system. Taking the genetic engineering pharmaceutics as an example, reform and practice for the ideological and political education for the undergraduate subject, biotechnological pharmaceutics, was applied. This paper expatiated the teaching practice of the ideological and political education, and reviewed the outcomes of the curriculum reform over these years in an effort to formulate a set of all-round programs for the reform and practice of the ideological and political education that can be replicated and improved continuously. This paper aims not only in developing high-caliber biomedical talents with a strong sense of patriotism and social responsibility, but also in providing a reference for the teaching reform of related subjects.
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Aim To investigate the impact and mechanism of Weichang'an Pill(WCA),its ethanol extract(EE),water extract(WE),and active ingredients on the contraction of isolated rat ileum smooth muscles induced by acetylcholine(ACh). Methods In vitro tissue bath experiment,WCA,EE,WE,or their active ingredients were added under the action of ACh,and then the contraction tension of isolated ileum smooth muscle from rats was recorded. The binding affinity ofthe active ingredients to the muscarinic acetylcholine M3 receptor was explored by molecular docking. Results WCA,EE,and WE were able to considerably inhibit the excitatory contraction of the ileal smooth muscles induced by ACh. Costunolide,dehydrocostus lactone,santalol,muscone,emodin,chrysophanol,physcion,crotonoside,magnolol,and honokiol were also significantly effective against ACh-induced ileal smooth muscle contraction. Conclusions WCA,EE,WE,and their active ingredients may help to promote intestinal smooth muscle relaxation by blocking the binding of the M3 receptor on the membrane of ileal smooth muscle with ACh.
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OBJECTIVE@#Aconite is a traditional Chinese herbal medicine that has been found to inhibit the development of liver cancer; however, its exact molecular mechanisms in this process remain unclear. This study explores how aconite aqueous extract (AAE) inhibits hepatocellular carcinoma (HCC).@*METHODS@#An in vivo mouse model of subcutaneous liver cancer was established. After AAE treatment, immunohistochemistry (IHC) was used to determine the effect of AAE on natural killer (NK) cells. Subsequently, C57BL/6 mice were used to establish the subcutaneous tumor model, and a group of these mice were treated with anti-PK163 antibody to remove NK cells, which was verified by flow cytometry and IHC. The effect of AAE on the proliferation of HCC cells in vitro was determined using cell counting kit-8. The effect of AAE on chemokine production in HCC cells was measured using real-time quantitative polymerase chain reaction and an enzyme-linked immunosorbent assay. The effect of AAE on the migration of NK cells was determined using a transwell assay. Finally, the molecular mechanism was investigated using the Western blotting method.@*RESULTS@#We demonstrated that the ability of AAE to induce overexpression of the cytokine C-C motif chemokine ligand 2 (CCL2) in HCC cells is fundamental to the infiltration of NK cells into the tumor bed. Mechanistically, we found that the upregulation of CCL2 was achieved by the activation of c-Jun N-terminal kinase but not extracellular regulated protein kinase or p38.@*CONCLUSION@#Our findings suggest that AAE can be used as an effective immune adjuvant to enhance antitumor immunity by increasing NK cell infiltration into tumors, which could help to improve the efficacy of HCC treatments. Please cite this article as: Yang KD, Zhang X, Shao MC, Wang LN. Aconite aqueous extract inhibits the growth of hepatocellular carcinoma through CCL2-dependent enhancement of natural killer cell infiltration. J Integr Med. 2023; 21(6): 575-583.