ObjectiveTo investigate the incidence rate of sarcopenia in patients with Wilson’s disease （WD）-related liver cirrhosis， as well as the risk factors for sarcopenia and their impact on clinical outcomes. MethodsA total of 140 patients with WD-related liver cirrhosis who were treated in The First Affiliated Hospital of Anhui University of Chinese Medicine from January 2019 to June 2020， and according to the third lumbar skeletal muscle mass index （L3 SMI）， the patients were divided into sarcopenia group and non-sarcopenia group. Nutritional risk screening， anthropometric measurements， and blood biochemical tests were performed for the patients to identify the influencing factors for sarcopenia. The patients were followed up for 36 — 48 months， and survival status and complications were compared between the two groups. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the chi-square test and the Mann-Whitney U rank sum test were used for comparison of categorical data between two groups. A binary Logistic regression analysis was used to investigate the influencing factors for sarcopenia， and univariate and multivariate Cox regression analyses were used to investigate the risk factors for the prognosis of patients with WD-related liver cirrhosis. The Kaplan-Meier survival curve was plotted， and the Log-rank test was used for comparison between groups. ResultsAmong the 140 patients with WD-related liver cirrhosis， 53 （37.9%） developed sarcopenia， with significantly lower body mass index （BMI） and L3 SMI than the patients without sarcopenia （t=10.550 and 3.982， both P<0.001）. The multivariate Logistic regression analysis showed that age （odds ratio ［OR］=2.243， 95% confidence interval ［CI］： 1.196 — 4.208， P=0.012）， sex （OR=0.450， 95%CI： 0.232 — 0.872， P=0.018）， BMI （OR=0.126， 95%CI： 0.089 — 0.294， P<0.001）， and hepatic encephalopathy （OR=8.367， 95%CI： 2.423 — 28.897， P<0.001） were the main influencing factors for sarcopenia in patients with WD-related liver cirrhosis. Compared with the non-sarcopenia group， the sarcopenia group had significantly higher mortality rate （χ²=6.158， P=0.019） and significantly higher incidence rates of infection （χ²=8.008， P=0.040）， recurrent abdominal/pleural efflux （χ²=17.742， P<0.001）， and hepatic encephalopathy （χ²=4.338， P=0.039）. The multivariate Cox regression analysis showed that sarcopenia （hazard ratio ［HR］=4.685， P=0.002） and hepatic encephalopathy （HR=19.156， P<0.001） were independent risk factors for death in patients with WD-related liver cirrhosis. The Kaplan-Meier survival curve analysis showed a significant reduction in survival rate in the patients with sarcopenia （P=0.003）. ConclusionSarcopenia is one of the manifestations of malnutrition in patients with WD-related liver cirrhosis， which increases the risk of mortality and other complications and has an adverse effect on prognosis. There is an increased risk of sarcopenia in male patients or patients with hepatic encephalopathy， a lower level of BMI or an older age.

Objective:To investigate the relationship between the number of removed lymph nodes(RLN)and patient prognosis during radical surgery for extensive cervical cancer(CC).Methods:Clinical data of 21416 pa-tients with CC who underwent radical hysterectomy between January 1,2004 to August 31,2018 in the Chinese Cervical Cancer Clinical Study was retrospectively reviewed.Restricted cubic spline(RCS)was used to analyze the dose-response relationship between the number of RLN and prognosis.The patients were divided into three groups according to the RCS and RLN number:1-17 group(8733 cases),18-26 group(8189 cases),and≥ 27 group(4494 cases).Kaplan-Meier survival analysis and Log-Rank tests were used to compare the OS rates and DFS rates between groups at 3 and 5 years.Multivariate Cox proportional hazards model was used to analyze the prognostic mortality risk.Results:① RCS results showed a U-shaped nonlinear dose-response relationship be-tween the number of RLN and prognosis(P＜0.01).When the number of RLN was less than 26,the risk of death decreased as the number of RLN increased,and the risk was lowest when the number of RLN was 26.②There were statistically significant differences(P＜0.05)in age,histological type,tumor diameter,nerve invasion,uterine invasion,vaso-lymph node space invasion,cervical invasion,number of lymph node metastasis,whether preopera-tive adjuvant therapy was received,postoperative adjuvant therapy,and whether postoperative adjuvant therapy was standardized among the 3 groups(P＜0.05).③Kaplan-Meier survival curve analysis showed that the 5-year OS of the 1-17 group,18-26 group,and ≥ 27 group were 90.23％,92.28％,and 91.61％,respectively,and the 5-year DFS were 85.32％,87.90％,and 87.18％,respectively.The differences between the three groups were sta-tistically significant(P＜0.01).④The results of multivariate Cox regression analysis showed that RLN number in the range of 1-17 was a significant risk factor for the 3-and 5-year OS and DFS,when compared to the 18-26 RLN group(HR＞1,P＜0.05).Conclusions:RLN number may be one of the prognostic indicators of CC.When the number of RLNs is between 18-26,the prognosis of the patient may be better.The number of RLN in the range of 1-17 may increase the risk of recurrence or death in CC patients.

Objective:To investigate the relationship between the number of removed lymph nodes(RLN)and patient prognosis during radical surgery for extensive cervical cancer(CC).Methods:Clinical data of 21416 pa-tients with CC who underwent radical hysterectomy between January 1,2004 to August 31,2018 in the Chinese Cervical Cancer Clinical Study was retrospectively reviewed.Restricted cubic spline(RCS)was used to analyze the dose-response relationship between the number of RLN and prognosis.The patients were divided into three groups according to the RCS and RLN number:1-17 group(8733 cases),18-26 group(8189 cases),and≥ 27 group(4494 cases).Kaplan-Meier survival analysis and Log-Rank tests were used to compare the OS rates and DFS rates between groups at 3 and 5 years.Multivariate Cox proportional hazards model was used to analyze the prognostic mortality risk.Results:① RCS results showed a U-shaped nonlinear dose-response relationship be-tween the number of RLN and prognosis(P＜0.01).When the number of RLN was less than 26,the risk of death decreased as the number of RLN increased,and the risk was lowest when the number of RLN was 26.②There were statistically significant differences(P＜0.05)in age,histological type,tumor diameter,nerve invasion,uterine invasion,vaso-lymph node space invasion,cervical invasion,number of lymph node metastasis,whether preopera-tive adjuvant therapy was received,postoperative adjuvant therapy,and whether postoperative adjuvant therapy was standardized among the 3 groups(P＜0.05).③Kaplan-Meier survival curve analysis showed that the 5-year OS of the 1-17 group,18-26 group,and ≥ 27 group were 90.23％,92.28％,and 91.61％,respectively,and the 5-year DFS were 85.32％,87.90％,and 87.18％,respectively.The differences between the three groups were sta-tistically significant(P＜0.01).④The results of multivariate Cox regression analysis showed that RLN number in the range of 1-17 was a significant risk factor for the 3-and 5-year OS and DFS,when compared to the 18-26 RLN group(HR＞1,P＜0.05).Conclusions:RLN number may be one of the prognostic indicators of CC.When the number of RLNs is between 18-26,the prognosis of the patient may be better.The number of RLN in the range of 1-17 may increase the risk of recurrence or death in CC patients.

Objective:To investigate the impact of lifestyle, apolipoprotein E (ApoE) gene, and their interaction on the risk for cognitive frailty in the elderly population in China.Methods:The study participants were from the Chinese Longitudinal Healthy Longevity Survey. The information about their lifestyles were collected by questionnaire survey, and a weighted lifestyle score was constructed based on β coefficients associated with specific lifestyles to assess the combined lifestyle. ApoE genotypes were assessed by rs429358 and rs7412 single nucleotide polymorphisms. Cognitive frailty was assessed based on cognitive function and physical frailty. Cox proportional hazards regression model was used to analyze the association of lifestyle and ApoE gene with the risk for cognitive frailty and evaluate the multiplicative and additive interactions between lifestyle and ApoE gene. Results:A total of 5 676 elderly persons, with median age [ M ( Q1, Q3)] of 76 (68, 85) years, were included, in whom 615 had cognitive frailty. The analysis by Cox proportional hazards regression model indicated that moderate and high levels of dietary diversity could reduce the risk for cognitive frailty by 18% [hazard ratio ( HR)=0.82, 95% CI: 0.68-1.00] and 28% ( HR=0.72, 95% CI: 0.57-0.91), respectively; moderate and high levels of physical activity could reduce the risk by 31% ( HR=0.69, 95% CI: 0.56-0.85) and 23% ( HR=0.77, 95% CI: 0.64-0.93), respectively. Healthy lifestyle was associated with a 40% reduced risk for cognitive frailty ( HR=0.60, 95% CI: 0.46-0.78). ApoE ε4 allele was associated with a 26% increased risk for cognitive frailty ( HR=1.26, 95% CI: 1.02-1.56). No multiplicative or additive interactions were found between lifestyle and ApoE gene. Conclusions:Dietary diversity and regular physical activity have protective effects against cognitive frailty in elderly population. Healthy lifestyle can reduce the risk for cognitive frailty in elderly population regardless of ApoE ε4 allele carriage status.

Objective:To explore the relationship between blood urea nitrogen to creatinine ratio and frailty in the elderly aged ≥65 years in 8 longevity areas in China.Methods:Participants were recruited from the Healthy Aging and Biomarkers Cohort Study. Based on baseline information about blood urea nitrogen and risk for frailty obtained at follow-up of the participants, blood urea nitrogen to creatinine ratio was classified according to quintiles, Cox proportional hazard regression models were used to analyze the association between blood urea nitrogen to creatinine ratio and frailty.Results:A total of 1 562 participants aged (81.0±17.0) years were included, in whom 814 (52.1%) were men, and 258 frailty events occurred during a mean follow-up of (3.73±1.43) years. Cox proportional hazards model showed that after adjusting for relevant confounders, compared with the participants in the lowest quintile group ( Q1), the risk for frailty decreased by 36%, 44%, and 40% in the participants in the third quintile group ( Q3), the fourth quintile group ( Q4) and the highest quintile group ( Q5) respectively [hazard ratio ( HR)=0.64, 95% CI: 0.43-0.94; HR=0.56, 95% CI: 0.38-0.84; HR=0.60, 95% CI: 0.41-0.88]. The risk for frailty decreased by 20% for every unit standard deviation increase in blood urea nitrogen to creatinine ratio ( HR=0.80, 95% CI: 0.70-0.91). Moreover, blood urea nitrogen to creatinine ratio and the risk for frailty showed a nearly linear dose-response relationship. Conclusions:The increase in blood urea nitrogen to creatinine ratio was associated with higher risk for frailty. Maintaining high blood urea nitrogen to creatinine ratio is important for the prevention of frailty in the elderly.

Objective:To investigate the relationship between the number of removed lymph nodes(RLN)and patient prognosis during radical surgery for extensive cervical cancer(CC).Methods:Clinical data of 21416 pa-tients with CC who underwent radical hysterectomy between January 1,2004 to August 31,2018 in the Chinese Cervical Cancer Clinical Study was retrospectively reviewed.Restricted cubic spline(RCS)was used to analyze the dose-response relationship between the number of RLN and prognosis.The patients were divided into three groups according to the RCS and RLN number:1-17 group(8733 cases),18-26 group(8189 cases),and≥ 27 group(4494 cases).Kaplan-Meier survival analysis and Log-Rank tests were used to compare the OS rates and DFS rates between groups at 3 and 5 years.Multivariate Cox proportional hazards model was used to analyze the prognostic mortality risk.Results:① RCS results showed a U-shaped nonlinear dose-response relationship be-tween the number of RLN and prognosis(P＜0.01).When the number of RLN was less than 26,the risk of death decreased as the number of RLN increased,and the risk was lowest when the number of RLN was 26.②There were statistically significant differences(P＜0.05)in age,histological type,tumor diameter,nerve invasion,uterine invasion,vaso-lymph node space invasion,cervical invasion,number of lymph node metastasis,whether preopera-tive adjuvant therapy was received,postoperative adjuvant therapy,and whether postoperative adjuvant therapy was standardized among the 3 groups(P＜0.05).③Kaplan-Meier survival curve analysis showed that the 5-year OS of the 1-17 group,18-26 group,and ≥ 27 group were 90.23％,92.28％,and 91.61％,respectively,and the 5-year DFS were 85.32％,87.90％,and 87.18％,respectively.The differences between the three groups were sta-tistically significant(P＜0.01).④The results of multivariate Cox regression analysis showed that RLN number in the range of 1-17 was a significant risk factor for the 3-and 5-year OS and DFS,when compared to the 18-26 RLN group(HR＞1,P＜0.05).Conclusions:RLN number may be one of the prognostic indicators of CC.When the number of RLNs is between 18-26,the prognosis of the patient may be better.The number of RLN in the range of 1-17 may increase the risk of recurrence or death in CC patients.

Objective:To investigate the relationship between the number of removed lymph nodes(RLN)and patient prognosis during radical surgery for extensive cervical cancer(CC).Methods:Clinical data of 21416 pa-tients with CC who underwent radical hysterectomy between January 1,2004 to August 31,2018 in the Chinese Cervical Cancer Clinical Study was retrospectively reviewed.Restricted cubic spline(RCS)was used to analyze the dose-response relationship between the number of RLN and prognosis.The patients were divided into three groups according to the RCS and RLN number:1-17 group(8733 cases),18-26 group(8189 cases),and≥ 27 group(4494 cases).Kaplan-Meier survival analysis and Log-Rank tests were used to compare the OS rates and DFS rates between groups at 3 and 5 years.Multivariate Cox proportional hazards model was used to analyze the prognostic mortality risk.Results:① RCS results showed a U-shaped nonlinear dose-response relationship be-tween the number of RLN and prognosis(P＜0.01).When the number of RLN was less than 26,the risk of death decreased as the number of RLN increased,and the risk was lowest when the number of RLN was 26.②There were statistically significant differences(P＜0.05)in age,histological type,tumor diameter,nerve invasion,uterine invasion,vaso-lymph node space invasion,cervical invasion,number of lymph node metastasis,whether preopera-tive adjuvant therapy was received,postoperative adjuvant therapy,and whether postoperative adjuvant therapy was standardized among the 3 groups(P＜0.05).③Kaplan-Meier survival curve analysis showed that the 5-year OS of the 1-17 group,18-26 group,and ≥ 27 group were 90.23％,92.28％,and 91.61％,respectively,and the 5-year DFS were 85.32％,87.90％,and 87.18％,respectively.The differences between the three groups were sta-tistically significant(P＜0.01).④The results of multivariate Cox regression analysis showed that RLN number in the range of 1-17 was a significant risk factor for the 3-and 5-year OS and DFS,when compared to the 18-26 RLN group(HR＞1,P＜0.05).Conclusions:RLN number may be one of the prognostic indicators of CC.When the number of RLNs is between 18-26,the prognosis of the patient may be better.The number of RLN in the range of 1-17 may increase the risk of recurrence or death in CC patients.

Objective:To investigate the relationship between the number of removed lymph nodes(RLN)and patient prognosis during radical surgery for extensive cervical cancer(CC).Methods:Clinical data of 21416 pa-tients with CC who underwent radical hysterectomy between January 1,2004 to August 31,2018 in the Chinese Cervical Cancer Clinical Study was retrospectively reviewed.Restricted cubic spline(RCS)was used to analyze the dose-response relationship between the number of RLN and prognosis.The patients were divided into three groups according to the RCS and RLN number:1-17 group(8733 cases),18-26 group(8189 cases),and≥ 27 group(4494 cases).Kaplan-Meier survival analysis and Log-Rank tests were used to compare the OS rates and DFS rates between groups at 3 and 5 years.Multivariate Cox proportional hazards model was used to analyze the prognostic mortality risk.Results:① RCS results showed a U-shaped nonlinear dose-response relationship be-tween the number of RLN and prognosis(P＜0.01).When the number of RLN was less than 26,the risk of death decreased as the number of RLN increased,and the risk was lowest when the number of RLN was 26.②There were statistically significant differences(P＜0.05)in age,histological type,tumor diameter,nerve invasion,uterine invasion,vaso-lymph node space invasion,cervical invasion,number of lymph node metastasis,whether preopera-tive adjuvant therapy was received,postoperative adjuvant therapy,and whether postoperative adjuvant therapy was standardized among the 3 groups(P＜0.05).③Kaplan-Meier survival curve analysis showed that the 5-year OS of the 1-17 group,18-26 group,and ≥ 27 group were 90.23％,92.28％,and 91.61％,respectively,and the 5-year DFS were 85.32％,87.90％,and 87.18％,respectively.The differences between the three groups were sta-tistically significant(P＜0.01).④The results of multivariate Cox regression analysis showed that RLN number in the range of 1-17 was a significant risk factor for the 3-and 5-year OS and DFS,when compared to the 18-26 RLN group(HR＞1,P＜0.05).Conclusions:RLN number may be one of the prognostic indicators of CC.When the number of RLNs is between 18-26,the prognosis of the patient may be better.The number of RLN in the range of 1-17 may increase the risk of recurrence or death in CC patients.

Objective:To investigate the relationship between the number of removed lymph nodes(RLN)and patient prognosis during radical surgery for extensive cervical cancer(CC).Methods:Clinical data of 21416 pa-tients with CC who underwent radical hysterectomy between January 1,2004 to August 31,2018 in the Chinese Cervical Cancer Clinical Study was retrospectively reviewed.Restricted cubic spline(RCS)was used to analyze the dose-response relationship between the number of RLN and prognosis.The patients were divided into three groups according to the RCS and RLN number:1-17 group(8733 cases),18-26 group(8189 cases),and≥ 27 group(4494 cases).Kaplan-Meier survival analysis and Log-Rank tests were used to compare the OS rates and DFS rates between groups at 3 and 5 years.Multivariate Cox proportional hazards model was used to analyze the prognostic mortality risk.Results:① RCS results showed a U-shaped nonlinear dose-response relationship be-tween the number of RLN and prognosis(P＜0.01).When the number of RLN was less than 26,the risk of death decreased as the number of RLN increased,and the risk was lowest when the number of RLN was 26.②There were statistically significant differences(P＜0.05)in age,histological type,tumor diameter,nerve invasion,uterine invasion,vaso-lymph node space invasion,cervical invasion,number of lymph node metastasis,whether preopera-tive adjuvant therapy was received,postoperative adjuvant therapy,and whether postoperative adjuvant therapy was standardized among the 3 groups(P＜0.05).③Kaplan-Meier survival curve analysis showed that the 5-year OS of the 1-17 group,18-26 group,and ≥ 27 group were 90.23％,92.28％,and 91.61％,respectively,and the 5-year DFS were 85.32％,87.90％,and 87.18％,respectively.The differences between the three groups were sta-tistically significant(P＜0.01).④The results of multivariate Cox regression analysis showed that RLN number in the range of 1-17 was a significant risk factor for the 3-and 5-year OS and DFS,when compared to the 18-26 RLN group(HR＞1,P＜0.05).Conclusions:RLN number may be one of the prognostic indicators of CC.When the number of RLNs is between 18-26,the prognosis of the patient may be better.The number of RLN in the range of 1-17 may increase the risk of recurrence or death in CC patients.

Objective:To establish and validate the prediction model for bone marrow metastasis (BMM) in malignant tumors by screening out laboratory multiparameters.Methods:This case-control study collected 444 cases of malignant tumor patients who were hospitalized in the First Hospital of Jilin University from March 2018 to March 2024, including 243 cases for model establishment set and 201 cases for model validation set. The model establishment set was divided into BMM positive group (81 cases) and BMM negative group (162 cases), and the model validation set was divided into positive group (67 cases) and a negative group (134 cases). We collected patients′ clinical information such as gender, age, clinical diagnosis, and results of 47 laboratory tests including routine blood analysis, coagulation, liver function, tumor markers, potassium, sodium, chloride, and calcium ion tests, bone marrow morphology, and bone marrow biopsy. BMM was taken as the outcome event, differencial variables were analyzed using inter group comparisons, the correlation among parameters was analyzed using Pearson correlation analysis, the risk factors for BMM were analyzed using multivariate conditional logistic regression analysis, to establish logistic model, followed by efficiency evaluation on BMM predictive model using receiver operating characteristic (ROC) curves.Results:In the model establishment set, Pearson correlation analysis of 28 parameters that differed between the BMM positive and negative groups revealed that the correlation coefficients of 17 parameters, including mean platelet volume (MPV), hematocrit (HCT), hemoglobin (HGB), and prothrombin time (PT), were no more than 0.6 ( P<0.05). Further multivariate conditional logistic regression analysis demonstrated that MPV, HGB, HCT, PT, red cell distribution width (RDW), platelet count (PLT), alkaline phosphatase (ALP), chloride (Cl -), and mean erythrocyte hemoglobin concentration (MCHC) were the risk factors of BMM occurence in malignancy [MPV ( OR=9.929, 95% CI 2.688-71.335), HCT ( OR=8.232, 95% CI 6.223-9.841), HGB ( OR=4.300, 95% CI 1.947-16.577), PT ( OR=3.738, 95% CI 1.359-11.666), RDW ( OR=1.995, 95% CI 1.275-3.807), ALP ( OR=1.025, 95% CI 1.012-1.045), PLT ( OR=1.014, 95% CI 1.002-1.031), MCHC ( OR=0.724, 95% CI 0.523-0.880) and Cl -( OR=0.703, 95% CI 0.472-0.967)]. In the model establishment set, combiation of risk factors provided an AUC of 0.943 (95% CI 0.898-0.987, P<0.001), a sensitivity of 86.3%, and a specificity of 89.2% for BMM prediction. In the model validation set, the AUC was 0.924 (95% CI 0.854-0.960, P<0.001), with a sensitivity and specificity of 86.7% and 83.8%, respectively. Conclusion:This study built and validated a multiple-parameter model for BMM, which may facilitate the timely detection of BMM and provide reference for decision making of bone marrow aspiration.