Objective:Exploring the association rules of factors influencing high hospitalization costs for cancer patients, providing references for hospitals to optimize medical cost management measures.Methods:In the inpatient case information system of a tertiary general hospital, the medical record homepages of inpatients in the DRG groups of the oncology department in 2022 were obtained. The upper four scores of hospitalization costs was used as the threshold for patient grouping. Patients with hospitalization costs≥this threshold were the high-cost group, while other patients were control group; 12 factors, including age, gender, and admission condition, etc, were considered as potential influencing factors of high hospitalization costs. FP-Growth and Apriori algorithms were used to excavate the potential association rules between the influencing factors of high hospitalization costs. Logistic regression was used to analyze the independent influencing factors of high hospitalization costs.Results:A total of 5 512 hospitalized patients were included, including 1 378 patients in the high-cost group. Thirteen validated strong association rules for factors influencing high hospitalization costs were obtained, of which the rule antecedents included age (≥70 years), number of days in hospital (≥7 days), other diagnoses (≥5), surgery, planned readmission, use of antibiotics, admission (general/critical), living admission score (61~99), level of care (level 1/level 2), non-day ward, criticality during hospitalisation. Logistic regression results showed that all nine influencing factors except gender, use of antibiotics, and readmission plans were independent influences on high hospitalization costs ( P<0.05). Conclusions:The joint application of FP-Growth and Apriori algorithm could effectively explore the association rules of high hospitalization costs for oncology patients. The early warning information mainly included the number of hospitalization days, the number of other diagnoses, surgeries, and so on. It was suggested that medical institutions can reasonably control the high hospitalization costs through clinical pathway management, diagnosis and treatment process reengineering, admission risk assessment, and multidisciplinary collaborative diagnosis and treatment strategies.

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*

Objective To analyze the influencing factors of substandard steady state blood trough concentration of meropenem in the first monitoring.Methods Patients who were treated with meropenem and monitored steady-state blood trough concentration from July 2021 to June 2023 in the First Affiliated Hospital of Xi'an Jiaotong University were selected as the study subjects,and the patient's age,gender,and other medical history data were recorded.The steady-state blood trough concentration of meropenem was determined and the target was identified.According to the monitoring results,the patients were categorized into the standard group(2.0-16.0 mg·L-1)and non-standard group(＜2.0 mg·L-1 in the low concentration group and＞16.0 mg·L-1 in the high concentration group).Univariate and multivariate logistic regression analyses of relevant variables were performed for the low and high concentration groups,respectively,compared with the standard group to screen for risk factors for substandard steady-state trough concentration of meropenem.Results A total of 324 patients were included,there were 189 cases(58.33％)were reached the standard concentration,while 135 cases(41.67％)were failed to meet the standard(86 cases in low concentration group and 49 cases in high concentration group).The results of multivariate logistic regression analysis showed that glomerular filtration rate(P＜0.05),abumin(P＜0.05)and craniocerebral diseases(P＜0.05)were risk factors in the low concentration group compared with the standard group,the glomerular filtration rate of patients with brain injury was significantly higher than patients without brain injury;cystatin-C(P＜0.05)was a protective factor for the concentration of meropenem in both groups.The daily dose of meropenem(P＜0.05)and procalcitonin(P＜0.05)were risk factors for high meropenem blood concentrations in the high-concentration group compared with the standard group,whereas glomerular filtration rate(P＜0.05)was ta protective factor for the concentration of meropenem in the two groups.Conclusion Glomerular filtration rate,albumin and brain injury were risk factors for low steady-state blood trough concentrations of meropenem,whereas daily dose of meropenem and procalcitonin of meropenem were risk factors of high steady-state blood trough concentrations of meropenem.

Objective:To explore the correlation between serum ferritin(SF)levels and the efficacy of platelet transfusion in patients with malignant hematological diseases.Methods:Patients with malignant hematological diseases who received repeated transfusions of apheresis platelets in Department of Hematology of Aerospace Center Hospital in 2023 were selected.The platelet corrected count increment(CCI)was used to evaluate the efficacy of platelet transfusion.The correlations between sex,age,disease type,transplantation history,red blood cell transfusion history,and SF level and the efficacy of platelet transfusion were analyzed.Results:A total of 87 patients were included,with a cumulative 326 person-times platelet transfusions.As suggested by one-way analysis of variance,compared with the patients in the age groups of 24-45 years old and 46-66 years old,the patients in the age group of 2-23 years old had a better efficacy of platelet transfusion(P=0.004,P=0.004).There was no significant difference in the efficacy of platelet transfusion between the patients in the age group of 24-45 years old and those in the age group of 46-66 years old(P=0.876).Compared with the patients who had a history of red blood cell transfusion within 3 days,the patients without a history of red blood cell transfusion within 3 days had a better efficacy of platelet transfusion(P＜0.001).Compared with the groups with SF levels of 1.44-2.78 ng/L and＞2.78 ng/L,the group with SF levels＜1.44 ng/L had a better efficacy of platelet transfusion(P=0.028,P＜0.001).Compared with the group with SF levels＞2.78 ng/L,the group with SF levels of 1.44-2.78 ng/L had a better efficacy of platelet transfusion(P=0.001).After adjusting for age and the history of red blood cell transfusion,the transfusion efficacy of the group with SF levels＜1.44 ng/L was better than that of the groups with SF levels of 1.44-2.78 ng/L and＞2.78 ng/L(P=0.021,P＜0.001);Compared with the group with SF levels＞2.78 ng/L,the group with SF levels of 1.44-2.78 ng/L had a better efficacy of platelet transfusion(P=0.001).Both univariate and multivariate linear regression models showed that SF levels were negatively correlated with the efficacy of platelet transfusion(P＜0.001).Conclusion:There is a negative correlation between SF levels and the efficacy of platelet transfusion in patients with malignant hematological diseases.Detection of SF levels may provide guidance for predicting the efficacy of platelet transfusion.

Objective:To explore the correlation between serum ferritin(SF)levels and the efficacy of platelet transfusion in patients with malignant hematological diseases.Methods:Patients with malignant hematological diseases who received repeated transfusions of apheresis platelets in Department of Hematology of Aerospace Center Hospital in 2023 were selected.The platelet corrected count increment(CCI)was used to evaluate the efficacy of platelet transfusion.The correlations between sex,age,disease type,transplantation history,red blood cell transfusion history,and SF level and the efficacy of platelet transfusion were analyzed.Results:A total of 87 patients were included,with a cumulative 326 person-times platelet transfusions.As suggested by one-way analysis of variance,compared with the patients in the age groups of 24-45 years old and 46-66 years old,the patients in the age group of 2-23 years old had a better efficacy of platelet transfusion(P=0.004,P=0.004).There was no significant difference in the efficacy of platelet transfusion between the patients in the age group of 24-45 years old and those in the age group of 46-66 years old(P=0.876).Compared with the patients who had a history of red blood cell transfusion within 3 days,the patients without a history of red blood cell transfusion within 3 days had a better efficacy of platelet transfusion(P＜0.001).Compared with the groups with SF levels of 1.44-2.78 ng/L and＞2.78 ng/L,the group with SF levels＜1.44 ng/L had a better efficacy of platelet transfusion(P=0.028,P＜0.001).Compared with the group with SF levels＞2.78 ng/L,the group with SF levels of 1.44-2.78 ng/L had a better efficacy of platelet transfusion(P=0.001).After adjusting for age and the history of red blood cell transfusion,the transfusion efficacy of the group with SF levels＜1.44 ng/L was better than that of the groups with SF levels of 1.44-2.78 ng/L and＞2.78 ng/L(P=0.021,P＜0.001);Compared with the group with SF levels＞2.78 ng/L,the group with SF levels of 1.44-2.78 ng/L had a better efficacy of platelet transfusion(P=0.001).Both univariate and multivariate linear regression models showed that SF levels were negatively correlated with the efficacy of platelet transfusion(P＜0.001).Conclusion:There is a negative correlation between SF levels and the efficacy of platelet transfusion in patients with malignant hematological diseases.Detection of SF levels may provide guidance for predicting the efficacy of platelet transfusion.

Objective To analyze the influencing factors of substandard steady state blood trough concentration of meropenem in the first monitoring.Methods Patients who were treated with meropenem and monitored steady-state blood trough concentration from July 2021 to June 2023 in the First Affiliated Hospital of Xi'an Jiaotong University were selected as the study subjects,and the patient's age,gender,and other medical history data were recorded.The steady-state blood trough concentration of meropenem was determined and the target was identified.According to the monitoring results,the patients were categorized into the standard group(2.0-16.0 mg·L-1)and non-standard group(＜2.0 mg·L-1 in the low concentration group and＞16.0 mg·L-1 in the high concentration group).Univariate and multivariate logistic regression analyses of relevant variables were performed for the low and high concentration groups,respectively,compared with the standard group to screen for risk factors for substandard steady-state trough concentration of meropenem.Results A total of 324 patients were included,there were 189 cases(58.33％)were reached the standard concentration,while 135 cases(41.67％)were failed to meet the standard(86 cases in low concentration group and 49 cases in high concentration group).The results of multivariate logistic regression analysis showed that glomerular filtration rate(P＜0.05),abumin(P＜0.05)and craniocerebral diseases(P＜0.05)were risk factors in the low concentration group compared with the standard group,the glomerular filtration rate of patients with brain injury was significantly higher than patients without brain injury;cystatin-C(P＜0.05)was a protective factor for the concentration of meropenem in both groups.The daily dose of meropenem(P＜0.05)and procalcitonin(P＜0.05)were risk factors for high meropenem blood concentrations in the high-concentration group compared with the standard group,whereas glomerular filtration rate(P＜0.05)was ta protective factor for the concentration of meropenem in the two groups.Conclusion Glomerular filtration rate,albumin and brain injury were risk factors for low steady-state blood trough concentrations of meropenem,whereas daily dose of meropenem and procalcitonin of meropenem were risk factors of high steady-state blood trough concentrations of meropenem.

Objective:Exploring the association rules of factors influencing high hospitalization costs for cancer patients, providing references for hospitals to optimize medical cost management measures.Methods:In the inpatient case information system of a tertiary general hospital, the medical record homepages of inpatients in the DRG groups of the oncology department in 2022 were obtained. The upper four scores of hospitalization costs was used as the threshold for patient grouping. Patients with hospitalization costs≥this threshold were the high-cost group, while other patients were control group; 12 factors, including age, gender, and admission condition, etc, were considered as potential influencing factors of high hospitalization costs. FP-Growth and Apriori algorithms were used to excavate the potential association rules between the influencing factors of high hospitalization costs. Logistic regression was used to analyze the independent influencing factors of high hospitalization costs.Results:A total of 5 512 hospitalized patients were included, including 1 378 patients in the high-cost group. Thirteen validated strong association rules for factors influencing high hospitalization costs were obtained, of which the rule antecedents included age (≥70 years), number of days in hospital (≥7 days), other diagnoses (≥5), surgery, planned readmission, use of antibiotics, admission (general/critical), living admission score (61~99), level of care (level 1/level 2), non-day ward, criticality during hospitalisation. Logistic regression results showed that all nine influencing factors except gender, use of antibiotics, and readmission plans were independent influences on high hospitalization costs ( P<0.05). Conclusions:The joint application of FP-Growth and Apriori algorithm could effectively explore the association rules of high hospitalization costs for oncology patients. The early warning information mainly included the number of hospitalization days, the number of other diagnoses, surgeries, and so on. It was suggested that medical institutions can reasonably control the high hospitalization costs through clinical pathway management, diagnosis and treatment process reengineering, admission risk assessment, and multidisciplinary collaborative diagnosis and treatment strategies.

Calcined oyster is a commonly used shellfish traditional Chinese medicine in clinical practice in China. During the processing of oysters, their microscopic characteristics are destroyed, and open-fire calcination can damage the DNA of oysters, making it difficult to identify the primary source. The establishment of a specific polymerase chain reaction(PCR) method for the identification of calcined oysters can provide a guarantee for the safety and clinical efficacy of the medicine and its processed products. With Ostrea gigas as an example, the DNA extraction method of decoction pieces and formula particles of calcined oysters was improved, and high-quality DNA was obtained. Based on the specific single nucleotide polymorphism(SNP) sites of O. gigas and the other two species, the specific identification primers were designed, and the site-specific identification method of formula granules of calcined oyster(O. gigas) was established. The specificity and applicability of the method were investigated. The results showed that when the annealing temperature was 54 ℃, and the cycle was 44 times, the PCR amplified products of calcined oyster(O. gigas) and its formula granules produced a single bright identification band at 102 bp, while the other two species of oysters, O. talienwhanensis Crosse and O. rivularis Gould, had no band. In this study, DNA extraction and PCR identification of animal medicinal materials by calcination were established for the first time, which provided a tool for solving the difficult identification of calcined decoction pieces and ensuring drug safety.
Animals ; Ostrea/classification* ; Polymerase Chain Reaction/methods* ; Polymorphism, Single Nucleotide ; DNA/genetics*

AIM To investigate the ameliorative effects of Schisandrol A(Sol A)in Suhuang antitussive capsule on post-infectious cough(PIC).METHODS The in vivo mouse PIC model was established by intratracheal instillation of lipopolysaccharide(LPS)combined with cigarette smoke exposure.The mice were randomly divided into the control group,the model group,the Suhuang antitussive capsule group(14 g/kg),the montelukast sodium positive control group(3 mg/kg),and low and high dose Sol A groups(10,30 mg/kg).The in vitro PIC model was established by stimulating human bronchial epithelial cells(BEAS-2B)with LPS.The cells were divided into the control group,the model group,the Suhuang antitussive capsule group(10 μg/mL)and low and high dose Sol A groups(3,10 μmol/L).HE and Masson staining were used to detect the pathological changes of the lung and bronchial tissues.ELISA was used to detect the levels of IL-1β,IL-6,TNF-α,ROS,MDA,SOD and GSH in the lung tissues.RT-qPCR was used to detect the IL-1β,IL-6 and TNF-α mRNA expressions in BEAS-2B cells.And Western blot was applied to detect the protein expressions of p-PI3K,p-Akt,NOX4,SIRT1,p-ERK,Fibronectin,E-cadherin,Vimentin and α-SMA in mouse lung tissue and BEAS-2B cells.RESULTS Compared with the model group,the groups intervened with Sol A or Suhuang antitussive capsule displayed prolonged cough latency(P＜0.01);reduced cough frequency(P＜0.01);relieved pulmonary inflammatory cell infiltration and collagen deposition in PIC mice;decreased pulmonary levels of IL-1β,IL-6,TNF-α,ROS,MDA and protein expressions of Fibronectin,Vimentin,α-SMA,p-ERK,p-PI3K,p-Akt,and NOX4(P＜0.05,P＜0.01);increased pulmonary levels of SOD and GSH and protein expressions of E-cadherin and SIRT1(P＜0.05,P＜0.01);decreased ROS level,IL-1β,IL-6,TNF-α mRNA expressions and p-ERK,p-PI3K,p-Akt,NOX4 protein expressions in vitro(P＜0.05,P＜0.01);and increased SIRT1 protein expression in vitro as well(P＜0.01).CONCLUSION Being the main antitussive component of Suhuang antitussive capsule upon the PIC model,Sol A inhibits the inflammation via SIRT1/ERK signaling pathway and relieve the oxidative stress via PI3K/Akt/NOX4 signaling pathway.

Background: Pleuropterus multiflorum Thunb. cv. “Heshouwu”(HSW) has been used as a classical material for both medicine and food in China for millennia. Recently, the cultivation region of HSW has shifted from Guangdong to Sichuan, Guizhou, and other regions. The investigation of geographic variation in bioactive metabolite contents and their relationship with soil mineral elements holds academic significance. Objective: This study aimed to investigate the variations in the distribution of active components in HSW across diverse planting regions and their relationship with soil mineral elements. Methods: A reliable quantitative analysis based on ultrahigh-performance liquid chromatography with triple-quadrupole mass spectrometry (UPLC-QQQ-MS) was developed to assess the levels of 15 bioactive metabolites in 60 HSW samples collected from 4 distinct regions. A total of 43 soil mineral elements in corresponding 60 soil samples were quantified by inductively coupled plasma mass spectrometry (ICP-MS). Orthogonal partial least squares-discriminant analysis (OPLS-DA), heatmap analysis, Pearson correlation analysis, and random forest (RF) regression were conducted based on the above quantitative data. Results: The content of stilbene glycosides displayed a wider range of variation compared with emodin and physcion among different regions. Eight compounds were screened as the differential metabolites in HSW samples from various sources using the supervised OPLS-DA analysis. Among these, 2 important functional compounds including physcion and 2, 3, 5, 4′-tetrahydroxystilbene-2-O-(6″-O-ace-tyl)-glucoside (THSG-5) are the most abundant in HSW samples from Deqing, a geographical indicative production region. Pearson correlation analysis indicated that the impact of soil mineral elements on the levels of stilbene glycosides is greater compared to that on anthraquinones. A negative correlation was observed between the levels of elements Na, Zn, Ba, Ti, and 2, 3, 5, 4′-tetrahydroxysilbene 2-O-glucoside (THSG-1). Conversely, a positive correlation was found between the contents of elements Na, Ce, Ti, and physcion and THSG-5, 2 components that exhibited higher levels in Deqing. Furthermore, an RF algorithm was employed to establish an interrelationship model, effectively forecasting the abundance of the majority of differential metabolites in HSW samples based on the content data of soil mineral elements. Conclusions: The variation of stilbene glycosides is wider than emodin and physcion in HSW. The levels of metabolites in HSW samples are influenced by soil mineral elements, with stilbene glycosides being more susceptible to such influences compared to anthraquinones. Specifically, THSG-1 shows a negative association withmost soil mineral elements, notably Na, Zn, Ba, and Ti, whereas the content of physcion displays a positive correlation.