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.

Objective:To summarize the best evidence of postural and activity management in patients with cerebrospinal fluid leakage after spinal surgery, so as to provide guidance for clinical nursing staff.Methods:We systematically searched databases including but not limited to BMJ Best Practice, UpToDate, Cochrane Library, North American Spine Society, PubMed, China national knowledge infrastructure and Wanfang for guidelines, systematic reviews, expert consensus, evidence summaries, and best practices related to posture and activity management in patients with cerebrospinal fluid leakage after spinal surgery. The search period was from database establishment to 31 March 2024. Clinical practice guidelines were evaluated using the guideline research and assessment system, the systematic review methodology quality evaluation tool 2, and the quality evaluation checklist of policy text evidence in the Joanna Briggs Institute Evidence-based Health Care Center text evidence (version 2023).Results:A total of 8 articles were included in this study, 4 expert consensuses, 3 systematic reviews, and 1 guideline. The evidence included 4 aspects: bed position, positional changes, early activity, and precautions for activity, with a total of 13 pieces of evidence, all of which were of moderate to low quality.Conclusions:This study summarizes the best evidence of postural and activity management of patients with cerebrospinal fluid leakage after spinal surgery, providing a reference for improving clinical management programs in this area in order to further optimize the connotation and process of nursing work and improve the prognosis and satisfaction of patients.

Objective:To summarize the best evidence of postural and activity management in patients with cerebrospinal fluid leakage after spinal surgery, so as to provide guidance for clinical nursing staff.Methods:We systematically searched databases including but not limited to BMJ Best Practice, UpToDate, Cochrane Library, North American Spine Society, PubMed, China national knowledge infrastructure and Wanfang for guidelines, systematic reviews, expert consensus, evidence summaries, and best practices related to posture and activity management in patients with cerebrospinal fluid leakage after spinal surgery. The search period was from database establishment to 31 March 2024. Clinical practice guidelines were evaluated using the guideline research and assessment system, the systematic review methodology quality evaluation tool 2, and the quality evaluation checklist of policy text evidence in the Joanna Briggs Institute Evidence-based Health Care Center text evidence (version 2023).Results:A total of 8 articles were included in this study, 4 expert consensuses, 3 systematic reviews, and 1 guideline. The evidence included 4 aspects: bed position, positional changes, early activity, and precautions for activity, with a total of 13 pieces of evidence, all of which were of moderate to low quality.Conclusions:This study summarizes the best evidence of postural and activity management of patients with cerebrospinal fluid leakage after spinal surgery, providing a reference for improving clinical management programs in this area in order to further optimize the connotation and process of nursing work and improve the prognosis and satisfaction of patients.

OBJECTIVE To explore the influence of surgical history on chemotherapy -induced nausea and vomiting （CINV）. METHODS A retrospective case -control study was adopted ，with 824 patients undergoing chemotherapy as the object . A total of 27 items were collected ，including demographic data ，medical history data ，pre-chemotherapy data ，and chemotherapy treatment status. Logistic regression model was used to analyze the relationship between the history of surgery and the risk of CINV . The multiple models were constructed to correct potential confounding factors ，and subgroup analysis was performed on patients with surgical history . RESULTS The incidence of CINV was higher in patients with surgical history . The statistical result before adjustment was [OR＝1.72，95%CI（1.31，2.28），P＜0.001]；after adjusting potential confounding factors ，the statistical result was [OR＝1.78，95% CI（1.28，2.48），P＝0.001]. In the subgroup analysis ，the time between surgery and chemotherapy was different ， and the impact of surgical history on CINV was different ，and the results were statistically significant （P＝0.027）. The risk of CINV showed decreasing trend with the time ，and the results were statistically significant （P for trend ≤0.050）. Compared with patients who had not undergone surgery ，patients who had undergone surgery within one year had a higher risk of CINV [OR＝ 2.33，95%CI（1.52，3.59），P＜0.001]. CONCLUSIONS Patients with surgical history are more prone to CINV ，and the risk of CINV shows a downward trend in the length of time from surgery .

Objective To investigate the relationship between low-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratio (LHR) and asymptomatic carotid plaques and their stability in high-risk stroke population.Methods Between December 2012 and April 2015,a total of 39 944 permanent resident population ≥40 years were used as subjects of the survey from 11 rural communities in Haitou Town,Banzhuang Town and Tashan Town,Ganyu District,and 9 urban communities in Xinpu District and Haizhou District,Lianyungang City using epidemiological survey method of cluster sampling.Excluding those who took lipid-lowering drugs within 3 months and had a history of stroke or transient ischemic attack,6 592 people at high risk of stroke were finally screened out.Ultrasound was used to detect carotid plaques.The subjects were divided into plaque-free group and plaque group.The latter was further divided into stable plaque group and unstable plaque group.Multivariate logistic regression analysis was used to evaluate the independent risk factor for carotid plaques and their stability.The odds ratio (OR) and 95％ confidence interval (CI) were calculated.Receiver Operating Characteristic (ROC) curve was used to evaluate the prediction efficiency of LHR on carotid plaques.Results Multivariate logistic regression analysis showed that low-density lipoprotein cholesterol (LDL-C) was an independent risk factor for carotid plaques,while high-density lipoprotein cholesterol (HDL-C) was an independent protection factor of carotid plaques.Using the lowest quintile (Q1) of LHR as a reference,carotid plaque risk increased significantly with the increasing LHR (Q2:OR 1.448,95％ CI 1.082-1.937,P =0.013;Q3:OR 2.414,95％ CI 1.754-3.322,P＜0.001;Q4:OR 2.939,95％ CI 1.945-4.441,P＜0.001;Q5:OR 4.884,95％ CI 3.143-7.115,P＜0.001).ROC curve analysis showed that the area under the curve (AUC) of LHR predicting carotid plaques was 0.795 (95％ CI 0.792-0.807;P＜ 0.001),and the optimal cut-off value was 3.00 (sensitivity 68.37％,specificity 75.65％).LHR ≥3.92 (LHR in the Q4 and Q5 subgroups) was an independent risk factor for unstable carotid plaques (OR 2.915,95％ CI 2.104-4.040;P＜0.001).The AUC of the LHR predicting unstable carotid plaques was 0.658 (95％ CI 0.633-0.684;P＜0.001).Conclusions LHR was an independent predictor of carotid plaques in high-risk stroke patients.It had higher predictive value for carotid plaques,and its conversion threshold for promoting plaque formation was 3.00.When LHR was ≥3.92,there was a significant increase in the risk of unstable carotid plaques.

Objective To understand the correlation of expression levels of serum stromal cell-derived factor 1α (SDF-1α), osteoprotegerin (OPG) and β2microglobulin (β2-MG) in patients with multiple myeloma (MM) with or without myeloma bone disease (MBD). Methods Eighty patients with MM who were admitted to the Affiliated Hospital of Inner Mongolia Medical University from January 2014 to June 2017 were selected; all of the patients met the international diagnostic criteria for MM. According to the symptoms such as bone pain, the patients were divided into group with MBD (45 cases) and group without MBD (35 cases). Enzyme-linked immunosorbent assay (ELISA) was used to detect the serum levels of SDF-1α and OPG, and radioimmunoassay was used to detect the expression of MM major prognostic indicator β2-MG. The MBD score was evaluated in 45 patients selected by random number table after sacroiliac joint X-ray and three-dimensional bone reconstruction. The χ 2test was used to compare the categorical variables; the two independent sample t-test was used to compare the continuous variables that conformed to the normal distribution between two groups, and the Pearson method was used for the correlation analysis. Results The expression level of serum SDF-1α in the group with MBD was significantly higher than that in the group without MBD [0.31±0.17) pg/ml vs. (0.18±0.06) pg/ml], and the difference was statistically significant (t ＝-4.21, P < 0.001). The expression level of serum OPG in the group with MBD was significantly lower than that in the group without MBD [(0.73±0.50) pg/ml vs. (1.08±0.31) pg/ml], and the difference was statistically significant (t＝ 3.62, P< 0.001). Pearson analysis showed that β2-MG level in the group was positively correlated with SDF-1α level (r＝ 0.84, P< 0.001), and negatively correlated with OPG level (r＝ -0.48, P<0.001). The β2-MG level in the group without MBD did not show a correlation with the SDF-1α and OPG levels. Conclusions In the serum of patients with MBD, the expression levels of β2-MG and SDF-1α are increased, and the expression level of OPG is decreased. SDF-1α and OPG may be new clinical biochemical indicators for diagnosis, treatment and prognosis assessment in MBD.