To identify the influencing factors of presentation delay among patients with colorectal cancer,and to quantify the dose-response relationship and stratified differences between colorectal cancer awareness and presentation delay,in order to provide a basis for precise intervention.

A cross-sectional study was performed involving 910 patients diagnosed with colorectal cancer from January 2024 to August 2025 at a tertiary grade A hospital in Sichuan province.Demographic characteristics,health treatment behaviors and colorectal cancer awareness level were collected via questionnaires and electronic medical records.Linear regression,restricted cubic spline(RCS) model and stratified analysis were used for statistical analysis.

The median presentation delay of colorectal cancer patients was 84 days,and 48.79% of patients suffered presentation delay exceeding 90 days.Linear regression analysis indicated that educational level,per capita monthly household income,type of medical insurance and having medical workers in the family were influencing factors for presentation delay(all P<0.05).After adjusting for confounders such as educational level,per capita household income,medical insurance type and family medical background,the restricted cubic spline model revealed a non-linear dose-response relationship between colorectal cancer awareness and presentation delay.

Presentation delay in colorectal patients is affected by multiple factors,and a dose-response relationship exists between colorectal cancer awareness and presentation delay.Targeted health education for high-risk groups,optimized medical security and improved accessibility of medical resources are suggested to shorten presentation delay.

To explore the multiple influencing pathways of death anxiety and death attitude in patients with advanced lung cancer,so as to provide a reference for formulating precise death education strategies.

A cross-sectional survey design was adopted.A total of 164 patients with advanced lung cancer from a tertiary grade A cancer specialty hospital in Yunnan province were selected as the research subjects.General information questionnaires,the Chinese version of the Death Anxiety Scale(CT-DAS),and the Chinese version of the Death Attitude Profile-Revised(DAP-R) were used for the investigation.Data analysis was conducted using the fuzzy-set qualitative comparative analysis(fsQCA) method to identify the antecedent condition configurations leading to high levels of death anxiety,negative and positive death attitudes.

There were 6 configuration paths of death anxiety in patients with advanced lung cancer,presenting 5 different patterns,namely long-term isolation-communication deficiency type,high load-silence type,prognosis fear type,traumatic notification type,and spiritual struggle-silence negative type.Negative death attitudes had 8 configuration paths,presenting 5 different patterns,namely exhaustion silence type,early shock type,sudden high malignancy type,high malignancy load type,long-term aphasia type.Positive death attitudes had 6 configuration paths,presenting 4 different patterns,namely open communication type,long-term adaptation type,positive planning type,and focused on the present type.

The death anxiety and death attitudes of patients with advanced lung cancer are the result of multiple factors coupling.The multiple causal paths discovered in this study could provide a basis for formulating precise death education strategies based on the combination of patients' individual characteristics,and are of great significance for promoting the development of clinical death education.

To investigate the association between helicobacter pylori infection and serum homocysteine(Hcy) levels as well as brachial-ankle pulse wave velocity(baPWV),and to assess whether helicobacter pylori infection is an independent risk factor for hyperhomocysteinemia and arterial stiffness.

A total of 6 207 adults who underwent physical examinations at our hospital from January 2022 to December 2023 were included.The subjects were divided into the helicobacter pylori positive group and the helicobacter pylori negative group based on the results of the ¹³C urea breath test.Linear regression analysis was used to evaluate the linear association between helicobacter pylori infection and Hcy as well as baPWV.Further, multivariate logistic regression was employed to construct models for high Hcy(≥15 μmol/L) and high baPWV(≥1 800 cm/s),and sensitivity analysis was conducted.

There was no significant linear correlation between helicobacter pylori infection and Hcy or baPWV.High Hcy increased the risk of helicobacter pylori positive individuals(P<0.001),and the risk of having high baPWV was significantly increased(P<0.001).The results of the sensitivity analysis were consistent.

There is no significant linear correlation between helicobacter pylori infection and Hcy or baPWV.However,helicobacter pylori infection significantly increases the risk of high Hcy levels and arterial stiffness.Helicobacter pylori infection may affect vascular elasticity through inflammatory responses,nutrient absorption disorders, or metabolic pathways.

To analyze the latent profiles of artificial intelligence anxiety among undergraduate nursing students,and to explore the influencing factors of artificial intelligence anxiety among different profiles of nursing students.

Using the convenience sampling method,from April to May 2025,a total of 720 undergraduate nursing students from three medical colleges in Hubei province were selected as the research subjects.The general information questionnaire,Artificial Intelligence Anxiety Scale(AIAS) and Medical Artificial Intelligence Readiness Scale(MAIRS) were used for the investigation.

The score of artificial intelligence anxiety among undergraduate nursing students was 86.00±20.95.They could be divided into three latent profiles:low anxiety-rational alertness type (10.4%), medium anxiety-risk sensitivity type(65.3%),and high anxiety-generalized fear type(24.3%).Logistic regression analysis results showed that grade,the willingness to try using artificial intelligence tools in clinical practice,and medical artificial intelligence readiness were the influencing factors of artificial intelligence anxiety among undergraduate nursing students(all P<0.05).

The artificial intelligence anxiety among undergraduate nursing students is at a moderately high level.There is heterogeneity.Nursing educators need to develop precise intervention plans for undergraduate nursing students based on the influencing factors,so as to help them better adapt to the nursing education and career development requirements in the era of intelligence.

To develop the exercise program for maintenance hemodialysis patients during the intermittent period of dialysis based on "zero-time exercise",and to verify its application effect.

The plan was constructed through the summary of best evidence, Delphi expert consultation, and pre-test.Using the convenience sampling method,a total of 90 maintenance hemodialysis patients from a tertiary grade A general hospital in Bengbu city from June 1st to September 10th,2025 were selected as the research subjects.According to the dialysis treatment schedule,the patients were divided into the observation group and the control group,with 45 cases in each.The control group received routine exercise guidance and nursing, while the observation group implemented the inter-dialysis exercise plan based on "zero-time exercise" on the basis of the routine.After 12 weeks of intervention,the objective indicators of physical function,exercise self-efficacy,dialysis symptom burden,blood biochemical indicators,and quality of life between two groups of patients were compared.

The exercise program for maintenance hemodialysis patients during the intermittent period of dialysis based on the "zero-time exercise" included 5 primary indicators,20 secondary indicators,and 54 tertiary indicators.A total of 88 patients completed the intervention,with 44 in the observation group and 44 in the control group.After 12 weeks of intervention,the 30-second sit-to-stand test,2.44 meters circuit walking test,exercise self-efficacy,dialysis symptom burden,and quality of life in the observation group were all better than those in the control group(all P<0.05).

The implementation of the exercise program for maintenance hemodialysis patients during the intermittent period of dialysis based on "zero-time exercise" could improve the objective indicators of physical function of maintenance hemodialysis patients,enhance their exercise self-efficacy,improve the symptom burden of dialysis patients and their quality of life.

To explore the risk factors for patients complicated with perianal infection after allogeneic hematopoietic stem cell transplantation,and to construct and verify the risk prediction model.

A total of 259 patients who underwent allogeneic hematopoietic stem cell transplantation at a tertiary grade A hospital in Chongqing from January 2019 to December 2023 were selected as the modeling group.Relevant risk factors were screened through univariate and multivariate analyses,and a risk prediction model was constructed using R language.A total of 75 patients who underwent allogeneic hematopoietic stem cell transplantation in hospital from January 2024 to March 2025 were selected as the validation group.The model was evaluated and validated using the receiver operating characteristic curve area(AUC),Hosmer-Lemeshow goodness-of-fit test,decision curve analysis,and validation of the prediction model adopted.

The incidence of perianal infection in the modeling group was 18.53%,while that in the validation group was 24.00%.The risk factors of perianal infection after allogeneic hematopoietic stem cell transplantation included the history of perianal diseases,diarrhea,duration of neutropenia,and preoperative prognostic nutritional index.A predictive model for perianal infection after allogeneic hematopoietic stem cell transplantation was constructed based on these risk factors.The AUC value of the modeling group was 0.773,with a sensitivity of 0.604,a specificity of 0.853,and a maximum Youden index of 0.457.The AUC value of the validation group was 0.726,with a sensitivity of 0.745,a specificity of 0.897,and a maximum Youden index of 0.442.The decision curve analysis indicated that this model had good clinical benefits within a wide range of risk threshold probabilities.

The predictive model for patients complicated with perianal infection after allogeneic hematopoietic stem cell transplantation has excellent predictive performance.It could provide a scientific basis for the early assessment of perianal infection after allogeneic hematopoietic stem cell transplantation.

To analyze the risk factors for depression in patients with hepatitis B-related cirrhosis(HBC),to establish a decision tree prediction model,and to formulate nursing interventions to reduce the risk of depression in HBC patients.

A total of 200 HBC patients admitted to our hospital from January 2023 to January 2025 were selected as study subjects.Logistic regression analysis was used to identify risk factors influencing the occurrence of depression in HBC patients.A decision tree model for depression occurrence was constructed using the Chi-squared automatic interaction detection(CHAID) algorithm.The predictive performance of the decision tree model was evaluated by plotting the receiver operating characteristic(ROC) curve and calculating the area under the curve(AUC).

According to the Hamilton Depression Scale(HAMD) scores,all patients were divided into the depression disorder group with 58 cases and the non-depression disorder group with 142 cases.Logistic regression analysis showed that the education level,family support,psychological resilience,disease duration,and Child-Pugh classification were all risk factors for depression in HBC patients(P<0.05).The decision tree model identified 5 explanatory variables,namely Child-Pugh classification,psychological resilience,family care level,disease duration,and educational attainment.Among them,the Child-Pugh classification was the most significant influencing factor for the occurrence of depressive disorders in HBC patients.The AUC of the decision tree model was 0.930.After ten-fold cross-validation, the average AUC of the model was 0.914,which showed a relatively small difference from the original model's AUC.There was no significant overfitting in the model.The generalization ability was good.The Hosmer-Lemeshow test results showed that there was no statistically significant difference between the predicted risk of depression disorder by the model and the actual disease status of the patients.The calibration was good.Using HAMD ≥17 as the diagnostic threshold for depression,the model showed a sensitivity of 87.93%,specificity of 91.55%,and Youden's index of 0.795.

Education level,family support,psychological resilience,disease duration,and Child-Pugh classification are important risk factors for depression in HBC patients.The decision tree model based on these factors demonstrates high predictive value.Clinical practice should develop targeted nursing interventions addressing the above risk factors to reduce the incidence of depression in HBC patients.

To explore the potential classification characteristics and influencing factors of creativity anxiety among master's candidates in nursing.

From June to August 2025,a total of 381 master's candidates in nursing from 7 universities in Henan and Guangdong provinces were selected as the survey subjects.The general information questionnaire,Creativity Anxiety Scale(CAS),Creative Self-efficacy Scale(CSS),and Nurse Professional Identity Assessment Scale.Based on the latent profile analysis,the potential classification of creativity anxiety among master's candidates in nursing was initially explored.The influencing factors of the latent profile analysis were analyzed using unordered multinomial Logistic regression.

The score of the CAS for master's candidates in nursing was 36.31±10.53.The creativity anxiety of master's candidates in nursing could be classified into four potential profiles:the low anxiety balance group,the rule-dependent anxiety group,the value-driven anxiety group,and the achievement-driven anxiety group.Regression analysis showed that the institution level,grade,group meeting frequency,degree type,existing number of papers,degree of recognition of the value of scientific research achievements,creative self-efficacy,and nurse professional identity were the influencing factors of the creativity anxiety of master's candidates in nursing.

There is group heterogeneity in the creative anxiety of master's candidates in nursing.Institutions and supervisors could conduct individualized interventions based on the different influencing factors of the potential profiles,to reduce the level of creative anxiety among master's candidates in nursing.

To explore the latent class characteristics of fear of movement in patients after open-heart surgery,and to analyze its influencing factors.

Using a convenience sampling method, a total of 305 hospitalized patients after open-heart surgery were selected from the cardiac surgery departments of seven tertiary grade-A hospitals from March to May 2025. The patients were surveyed using the General Information Questionnaire, the Tampa Scale for Kinesiophobia for Heart Patients (TSK-SV Heart), the Brief Illness Perception Questionnaire(BIPQ), the Hospital Anxiety and Depression Scale(HADS), the Cardiac Exercise Self-Efficacy Instrument (CESEI), and the Perceived Social Support Scale(PSSS).Latent profile analysis(LPA) was employed to identify the class characteristics of fear of movement in patients after open-heart surgery.

Three latent profiles of fear of movement were identified among patients after open-heart surgery: subclinical fear of movement-unstable group, mild fear of movement-stable group, and moderate fear of movement group. Logistic regression analysis showed that patients' anxiety,depression,illness perception, cardiac rehabilitation exercise self-efficacy, average monthly family income, and exercise habits were influencing factors for their latent profiles of fear of movement(all P<0.05).

Fear of movement in patients after open-heart surgery shows population heterogeneity. Healthcare providers should develop precise intervention strategies based on the influencing factors of different profile groups to reduce patients' level of fear of movement.

To develop the oral frailty assessment scale for elderly stroke patients,and to test its reliability and validity.

Guided by the Adulyanon's oral health consequences model,combined with literature review and expert consultation,the initial draft of the scale was established.A total of 336 elderly stroke patients admitted to the rehabilitation department of a tertiary grade A hospital in Jiangxi province from April to July 2025 were selected for the investigation.The reliability and validity of the scale were tested.

A total of 12 experts were selected for two rounds of expert consultation.The questionnaire recovery rates for the two rounds were 100% and 92% respectively.The expert authority coefficients were 0.850 and 0.807 respectively.The Kendall's W coefficients were 0.326 and 0.412 respectively(all P<0.01).The oral frailty assessment scale for elderly stroke patients included 3 dimensions and 25 items.Exploratory factor analysis extracted 3 common factors,with a cumulative variance contribution rate of 72.397%.Confirmatory factor analysis confirmed that the model had good fit.The scale content validity index(S-CVI) was 0.950,and the item content validity index(I-CVI) ranged from 0.830 to 1.000.The Cronbach's α coefficient of the total scale was 0.928, and the split-half reliability was 0.952.

The oral frailty assessment scale for elderly stroke patients has good reliability and validity.It could be used as an assessment tool for specific symptoms of oral frailty in elderly stroke patients.

To investigate the preference for central vascular access device among breast cancer patients undergoing chemotherapy,and to provide a basis for selecting central vascular access devices for breast cancer patients.

Using the convenient sampling method,a total of 267 patients who received neoadjuvant chemotherapy in the breast surgery department of Nanjing Drum Tower Hospital from January 2023 to March 2024 were selected as the research subjects.A questionnaire was designed using the discrete choice experiment.A mixed Logit regression model was constructed for preference analysis.

The preference attributes for central vascular access devices in breast cancer patients undergoing chemotherapy included cost,concealment,catheterization time,and the incidence rate of complications.Different ages,educational levels,monthly income,social frequency,and surgical history of patients had different preferences for central vascular access device(all P<0.05).

Cost is the most concerned attribute for breast cancer patients when choosing central vascular access device.Medical staff should pay attention to the different preferences of breast cancer patients when choosing central vascular access device,and provide professional guidance to help them make decisions on central venous vascular access devices that meet their own needs,thereby improving the medical experience and quality of life.

To explore the development trajectory and influencing factors of sleep quality in patients with chronic rhinosinusitis(CRS).

A total of 236 CRS patients admitted to our hospital from February 2023 to February 2025 were selected.The Pittsburgh Sleep Quality Index(PSQI) was used to assess sleep quality at baseline and after 1 month,3 months,6 months of treatment.Growth mixture modeling identified distinct trajectory classes.Clinical data were collected for univariate and correlation analyses,and multiple Logistic regression identified independent influencing factors.

The sleep quality of CRS patients presented three heterogeneous trajectories:rapid improvement type(44.92%),slow improvement type(35.17%),and limited improvement type(19.92%).Regression analysis showed that body mass index(BMI),nasal polyps,combined asthma/allergy,combined obstructive sleep apnea(OSA),Lund-Mackay CT score,Visual Analogue Scale(VAS) score,22-item Sinonasal Outcome Test(SNOT-22),and Hospital Anxiety and Depression Scale-Anxiety subscale(HADS-A) score were the influencing factors of their latent categories(all P<0.05).

There is significant heterogeneity in sleep quality among patients with CRS.Medical staff should implement early identification and stratified intervention based on the influencing factors of different trajectories.

To explore the application effect of the family-centered empowerment care model in patients with coronary heart disease complicated with heart failure and their caregivers.

From December 2023 to August 2025,a total of 70 patients with coronary heart disease complicated with heart failure who were hospitalized in the department of cardiovascular medicine of our hospital,as well as 70 of their caregivers,were selected,and randomly divided into the observation group and the control group,with 35 cases in each.The control group received routine nursing,while the observation group received family-centered empowerment care model care.Both groups were intervened for 3 months.The clinical indicators and Coronary Artery Disease Treatment Adherence Scale(CADTAS),Minnesota Living with Heart Failure Questionnaire(MLHFQ),and main caregiver's Care Preparedness Scale(CPS),Family Caregiver Task Inventory(FCTI) scores were compared between the two groups.

The symptom improvement time,total hospital stay,and readmission rate of the observation group were all shorter or lower than those of the control group(P<0.05).At 3 months after intervention,the scores of CADTAS and CPS of both groups increased,while the scores of FCTI and MLHFQ decreased.Moreover,the CADTAS and CPS scores of the observation group were higher than those of the control group,and the FCTI and MLHFQ scores were lower than those of the control group(P<0.05).

The family-centered empowerment care model could shorten the symptom improvement time and total hospital stay of patients with coronary heart disease complicated with heart failure,reduce the readmission rate,improve the treatment compliance of patients,enhance the care preparation and care ability of caregivers,and improve the quality of life for patients.

To construct an early rehabilitation nursing program for critically ill patients driven by digital twin technology and multi-dimensional assessment,and to verify its clinical value in improving muscle strength and ICU-acquired weakness(ICU-AW).

Early rehabilitation nursing program for critically ill patients driven by digital twin technology was developed using the modified Delphi method,establishing a 4-level intelligent rehabilitation plan centered on real-time Medical Research Council(MRC) muscle strength assessment scores.A total of 120 patients admitted to the emergency intensive care unit(EICU) of our hospital from January 2024 to March 2025 were randomly divided into an observation group and a control group,60 cases each.Patients in the control group received a graded rehabilitation plan based on the conventional care process,while those in the observation group received the early rehabilitation nursing program for critically ill patients driven by digital twin technology.The MRC score,Barthel Index,improvement rate of ICU-AW,mechanical ventilation time,oxygenation index,adverse event rate,and serum albumin level were compared between two groups.

After the intervention,the MRC score,Barthel Index,improvement rate of ICU-AW,oxygenation index,and serum albumin level in the observation group were better than those in the control group.The mechanical ventilation time was shorter.The adverse event rate was lower(all P<0.05).

The constructed early rehabilitation nursing program for critically ill patients driven by digital twin technology could achieve dynamic and precise intervention as well as intelligent early warning,improve the patient's muscle strength,reduce the risk of ICU-AW,and provide an intelligent solution for critically ill patients' rehabilitation.

To explore the impact of long-term care insurance(LTCI) policy on the progression of frailty among older adults in China.

Based on the data from five rounds of the China Health and Retirement Longitudinal Study(CHARLS) from 2011 to 2020,a frailty index covering physical,psychological,cognitive,social,and subjective health dimensions was constructed.The elderly in the pilot cities for long-term care insurance policies were taken as the treatment group, while the non-pilot cities were the control group.The difference-in-differences(DID) model was employed to assess the impact of the policy on the progression of frailty.

After the implementation of the LTCI policy,the progression rates of physical frailty,psychological frailty and cognitive frailty among older adults were significantly slowed.Parallel trend tests and winsorization results supported the robustness of these findings.Heterogeneity analyses revealed that the LTCI policy had more pronounced delaying effects on frailty progression among older adults who were of advanced age,male,residing in rural areas or with lower educational attainment(P<0.05).

The LTCI policy is beneficial in slowing frailty progression in older adults. We recommend further expanding the policy coverage,promoting the development of care service systems,and enhancing policy targeting and equity to better facilitate healthy aging.

To investigate the status quo of the ability levels for disabled elderly people,and to analyze its influencing factors,so as to provide some references for reducing the degree of ability impairment of disabled elderly people and carrying out targeted elderly care services.

Using a multi-stage stratified sampling method,a total of 420 disabled elderly people in Chengdu city were selected as the research subjects.General information questionnaires and the Elderly Capacity Assessment Scale were used for the investigation.

Among the 420 disabled elderly people,220(52.38%) had mild disability,103(24.52%) had moderate disability,64(15.24%) had severe disability,and 33(7.86%) were completely disabled.Based on the variable selection results of the random forest model,9 core influencing factors were extracted.The results of the ordered multi-class Logistic regression analysis showed that age,educational level,living situation,family per capita monthly income,main caregiver,and life status evaluation were the influencing factors of the ability levels of disabled elderly people(P<0.05).

The proportion of severe and complete disability among disabled elderly people is relatively high.It is recommended that relevant departments promote the elderly ability assessment work.Through relevant interventions,to delay the process of elderly disability,and to improve the quality of life of the elderly.

To explore the trajectory of breast milk sodium ion concentration change in pregnant women with gestational diabetes mellitus and its relationship with delayed onset of lactogenesis.

Using the convenience sampling method,a total of 169 pregnant women with gestational diabetes mellitus from two tertiary grade A hospitals in Guangdong province from August 2024 to April 2025 were selected as the research subjects.They were surveyed using a general information questionnaire.Breast milk sodium ion concentrations were measured at 24 hours,48 hours,and 72 hours after delivery.

The breast milk sodium ion concentrations of pregnant women with gestational diabetes mellitus at 24 hours,48 hours,and 72 hours after delivery were (62.92±8.83) mmol/L,(42.58±9.72) mmol/L,and (27.17±12.95) mmol/L,respectively.Based on the trajectory model,two trajectories of breast milk sodium ion concentration changes were determined:the low sodium ion concentration-rapid decline group(69.8%) and the high sodium ion concentration-slow decline group(30.2%).The incidence of delayed lactation initiation in the low sodium ion concentration-rapid decline group was 13.6%,and that in the high sodium ion concentration-slow decline group was 76.5%.There was statistically significant difference in terms of the incidence of delayed onset of lactogenesis between the two groups(P<0.001).The high sodium ion concentration-slow decline group had a higher risk of delayed onset of lactogenesis as the reference group.

The changes in breast milk sodium ion concentration in pregnant women with gestational diabetes mellitus are correlated with delayed onset of lactogenesis.The trajectory of breast milk sodium ion concentration changes could objectively predict the occurrence of delayed onset of lactogenesis.Clinical medical staff could use the changes in breast milk sodium ion concentration to predict the occurrence of delayed onset of lactogenesis.

To investigate the application value of serum interleukin-23(IL-23),tumor necrosis factor-α(TNF-α) and microRNA-146b-5p(miR-146b-5p) in nursing evaluation of full-term neonates with hypoxic-ischemic encephalopathy(HIE),and to analyze their guiding significance for prognostic nursing management.

A total of 95 full-term neonates diagnosed with HIE admitted to our hospital from January 2020 to December 2024 were enrolled as the HIE group.According to the Diagnostic Criteria and Clinical Grading for Neonatal Hypoxic-Ischemic Encephalopathy,they were subdivided into mild subgroup(29 cases),moderate subgroup(44 cases) and severe subgroup(22 cases).Meanwhile,95 healthy full-term neonates were recruited as the control group.Venous blood samples of all subjects were collected within 1 day after admission to detect serum levels of IL-23 and TNF-α.Quantitative real-time polymerase chain reaction(qRT-PCR) was performed to detect the relative expression of miR-146b-5p.All neonates in the HIE group received standardized nursing interventions,including therapeutic hypothermia care,vital sign monitoring, neurological function protection nursing and so on.After 1 year of follow-up,there was one case of loss to follow-up.The patients were divided into favorable prognosis subgroup(70 cases) and poor prognosis subgroup(24 cases).The correlations of the three indicators with disease severity,nursing evaluation and long-term prognosis were analyzed.

Serum IL-23 and TNF-α levels were significantly higher,while the relative expression of miR-146b-5p was markedly lower in the HIE group compared with the control group(P<0.05).The levels of IL-23,TNF-α and miR-146b-5p were significantly correlated with the severity of HIE(P<0.05).Neonates with poor prognosis exhibited elevated IL-23 and TNF-α levels as well as reduced miR-146b-5p expression relative to those with favorable prognosis(P<0.05).After adjusting for confounding factors,IL-23,TNF-α and miR-146b-5p remained independently correlated with neonatal prognosis(P<0.05).Receiver operating characteristic(ROC) curve analysis revealed that the area under the curve(AUC) of combined detection of IL-23,TNF-α and miR-146b-5p for predicting neonatal prognosis reached 0.945,which possessed significantly superior predictive efficiency compared with single indicator detection(P<0.05).

Serum IL-23,TNF-α,and miR-146b-5p could be used as objective quantitative indicators for the assessment and stratification of the condition of full-term neonates with HIE.The combined detection of these three could improve the accuracy of predicting the prognosis risk,in order to provide scientific support for optimizing nursing plans,to allocate nursing resources,and to improve the long-term outcome of the children.

To systematically search for assessment tools for bladder cancer specific patient-reported outcome at home and abroad,so as to provide references for tool selection and development.

Systematic search was conducted in China National Knowledge Infrastructure(CNKI),WanFang Database,China Biomedical Literature Database,VIP Database,PubMed,EMbase,Web of Science,and Cochrane Library for assessment tools related to bladder cancer patient-reported outcome.The retrieval period spanned from the establishment of the databases to May 15, 2025.

A total of 32 articles were included,and 13 assessment tools for bladder cancer were summarized.Among them,4 assessment tools have been translated into Chinese versions.

The assessment tools for bladder cancer specific patient-reported outcome are in the development stage.Their clinical application requires comprehensive consideration of multiple factors.Future research need to validate and improve the existing assessment tools,and to develop specific assessment tools for bladder cancer patients in China.

To review the application of new media health education in improving parenting concerns among young and middle-aged cancer patients,and to provide a reference for alleviating such concerns.

Relevant literature on the application of new media health education interventions to improve parenting concerns in young and middle-aged cancer patients was retrieved from Web of Science,PubMed,MedLine,Elsevier,Cochrane Library,CNKI,WanFang Database,VIP,and Chinese Biomedical Literature database.The search period covered from the inception of each database to November 30, 2025.

A total of 9 articles were included,among which 1 was a Chinese article and 8 were English articles.The intervention targets of new media health education included the patients,their spouses,and medical staff.The intervention contents mainly covered psychological support,health education,communication and parenting skills training,behavioral and lifestyle intervention,personalized intervention and resource provision,family daily life and end-of-life preparation,and caregiver support.The outcome indicators mainly involved anxiety and depression,parenting stress,parenting efficacy,communication skills,family and behavioral functions,coping styles,and quality of life.

New media health education interventions could improve parenting concerns in young and middle-aged cancer patients.Future research may employ large‑sample surveys to map parenting concerns across different cancer types,stages,and treatment phases,and integrate virtual reality and artificial intelligence technologies to develop innovative and personalized interventions,thereby maximizing the improvement of patients' parenting concerns.

To review the risk prediction models of unplanned discontinuation of continuous renal replacement therapy(CRRT) in ICU patients,and to provide evidence-based guidance for healthcare providers in selecting or developing appropriate risk prediction models.

This study systematically retrieved relevant studies from Chinese and English databases such as OVID,CINAHL,PubMed,Web of Science,Cochrane Library,EMbase,CNKI,VIP,WanFang,and China Biomedical Literature Database.The search period was from the establishment of the databases to August 12, 2025.

A total of 19 studies were included,involving 28 models.Sample sizes ranged from 79 to 2 531 cases.The area under curve(AUC) for the 28 models ranged from 0.705 to 0.978.Calibration methods were reported in 17 studies.The overall applicability of the 19 studies was good,but there was still a relatively high risk of bias,mainly concentrated in the field of data analysis.

The risk prediction models of unplanned discontinuation of CRRT in ICU patients are still in the development stage.Future research should further improve the quality of related model studies,especially in aspects such as the selection of predictive factors and model evaluation,so as to provide effective tools for clinical practitioners to formulate individualized intervention strategies.