Objective:To investigate the predictive value of changes in body mass index (BMI) and blood glucose indicators in early pregnancy for gestational diabetes mellitus (GDM).Methods:A total of 126 pregnant women with GDM who were admitted to the Department of Obstetrics at Jiaxing Maternity and Child Health Care Hospital from January 2022 to December 2023 were retrospectively analyzed and included in the GDM group. Additionally, 140 healthy pregnant women were included in the non-GDM group. Changes in BMI and levels of blood glucose indicators [fasting blood glucose (FBG), 1-hour postprandial blood glucose, 2-hour postprandial blood glucose (2hPG), and glycated hemoglobin during early pregnancy were compared between the two groups. Influential factors for GDM were analyzed using a multivariate logistic regression model. The predictive value of changes in BMI and blood glucose indicators during early pregnancy for GDM was assessed using receiver operating characteristic curves.Results:The BMI at 10 [(24.60 ± 0.82) kg/m2] and 14 weeks of pregnancy [(23.50 ± 0.85) kg/m2] in the GDM group was significantly higher compared with the non-GDM group (both P < 0.05). The levels of FBG [(5.98 ± 0.36) mmol/L], 1-hour postprandial blood glucose [(10.95 ± 0.83) mmol/L], and 2hPG [(8.60 ± 0.82) mmol/L] in the GDM group were also significantly higher than those in the non-GDM group ( t = 12.25, 23.90, 5.98, all P < 0.001). The levels of total cholesterol [(6.35 ± 1.10) mmol/L] and triglycerides [(3.23 ± 0.60) mmol/L] in the GDM group were significantly higher compared with the non-GDM group ( t = 6.45, 7.45, both P < 0.001). The number of cesarean sections ( n = 69 cases) and the incidence of adverse delivery outcomes [26.98% (34/126)] in the GDM group were significantly higher than those in the non-GDM group ( χ2 = 16.72, 12.71, both P < 0.001). Multivariate logistic regression analysis indicated that BMI at 10 weeks of pregnancy, BMI at 14 weeks of pregnancy, FBG, and 2hPG were independent risk factors for GDM ( OR = 1.292, 6.514, 2.601, 1.784, all P < 0.05). According to Receiver Operating Characteristic curve analysis, the area under the curve (AUC) (95% CI) for BMI at 10 and 14 weeks of pregnancy were 0.717 (0.630-0.795) and 0.719 (0.631-0.796), respectively. The AUC (95% CI) for FBG and 2hPG levels were 0.731 (0.635-0.813) and 0.802 (0.712-0.873), respectively. The AUC (95% CI) for the combined evaluation of these indicators was 0.911 (0.839-0.958), indicating that the combined evaluation had a higher predictive value for GDM than the use of a single indicator ( P < 0.05). Conclusions:The changes in BMI and blood glucose indicators during early pregnancy are closely related to the occurrence of GDM. The combination of these measurements has a high predictive value for GDM and is of significant importance for its prevention.

Objective:To extract, evaluate, and summarize evidence related to family participation in delirium management of ICU patients and provid a reference for clinical practice.Methods:A systematic search was conducted in databases such as UpToDate, National Institute for Health and Care Excellence, Scottish Intercollegiate Guidelines Network, National Guideline Clearinghouse, Medlive, Cochrane Library, PubMed, Embase, CINAHL, China National Knowledge Infrastructure, and China Biology Medicine disc. The search covered clinical decisions, guidelines, expert consensus, evidence summaries, systematic reviews, and randomized controlled trials related to family participation in ICU delirium management, with a timeframe up to March 20, 2024. Two researchers independently screened literature, assessed quality, extracted evidence, and graded it.Results:A total of 28 articles were included, comprising seven evidence summaries, five guidelines, three expert consensuses, six systematic reviews, and seven randomized controlled trials. The findings were synthesized into five themes: visitation, assessment, non-pharmacological management, psychological and physical care, and health education, with a total of 26 best evidence points.Conclusions:The best evidence summarized in this study provides an evidence-based foundation for ICU healthcare providers to guide and encourage family participation in delirium management, which aida in the prevention of delirium in ICU patients.

Objective:To investigate the predictive value of changes in body mass index (BMI) and blood glucose indicators in early pregnancy for gestational diabetes mellitus (GDM).Methods:A total of 126 pregnant women with GDM who were admitted to the Department of Obstetrics at Jiaxing Maternity and Child Health Care Hospital from January 2022 to December 2023 were retrospectively analyzed and included in the GDM group. Additionally, 140 healthy pregnant women were included in the non-GDM group. Changes in BMI and levels of blood glucose indicators [fasting blood glucose (FBG), 1-hour postprandial blood glucose, 2-hour postprandial blood glucose (2hPG), and glycated hemoglobin during early pregnancy were compared between the two groups. Influential factors for GDM were analyzed using a multivariate logistic regression model. The predictive value of changes in BMI and blood glucose indicators during early pregnancy for GDM was assessed using receiver operating characteristic curves.Results:The BMI at 10 [(24.60 ± 0.82) kg/m2] and 14 weeks of pregnancy [(23.50 ± 0.85) kg/m2] in the GDM group was significantly higher compared with the non-GDM group (both P < 0.05). The levels of FBG [(5.98 ± 0.36) mmol/L], 1-hour postprandial blood glucose [(10.95 ± 0.83) mmol/L], and 2hPG [(8.60 ± 0.82) mmol/L] in the GDM group were also significantly higher than those in the non-GDM group ( t = 12.25, 23.90, 5.98, all P < 0.001). The levels of total cholesterol [(6.35 ± 1.10) mmol/L] and triglycerides [(3.23 ± 0.60) mmol/L] in the GDM group were significantly higher compared with the non-GDM group ( t = 6.45, 7.45, both P < 0.001). The number of cesarean sections ( n = 69 cases) and the incidence of adverse delivery outcomes [26.98% (34/126)] in the GDM group were significantly higher than those in the non-GDM group ( χ2 = 16.72, 12.71, both P < 0.001). Multivariate logistic regression analysis indicated that BMI at 10 weeks of pregnancy, BMI at 14 weeks of pregnancy, FBG, and 2hPG were independent risk factors for GDM ( OR = 1.292, 6.514, 2.601, 1.784, all P < 0.05). According to Receiver Operating Characteristic curve analysis, the area under the curve (AUC) (95% CI) for BMI at 10 and 14 weeks of pregnancy were 0.717 (0.630-0.795) and 0.719 (0.631-0.796), respectively. The AUC (95% CI) for FBG and 2hPG levels were 0.731 (0.635-0.813) and 0.802 (0.712-0.873), respectively. The AUC (95% CI) for the combined evaluation of these indicators was 0.911 (0.839-0.958), indicating that the combined evaluation had a higher predictive value for GDM than the use of a single indicator ( P < 0.05). Conclusions:The changes in BMI and blood glucose indicators during early pregnancy are closely related to the occurrence of GDM. The combination of these measurements has a high predictive value for GDM and is of significant importance for its prevention.

Objective:To extract, evaluate, and summarize evidence related to family participation in delirium management of ICU patients and provid a reference for clinical practice.Methods:A systematic search was conducted in databases such as UpToDate, National Institute for Health and Care Excellence, Scottish Intercollegiate Guidelines Network, National Guideline Clearinghouse, Medlive, Cochrane Library, PubMed, Embase, CINAHL, China National Knowledge Infrastructure, and China Biology Medicine disc. The search covered clinical decisions, guidelines, expert consensus, evidence summaries, systematic reviews, and randomized controlled trials related to family participation in ICU delirium management, with a timeframe up to March 20, 2024. Two researchers independently screened literature, assessed quality, extracted evidence, and graded it.Results:A total of 28 articles were included, comprising seven evidence summaries, five guidelines, three expert consensuses, six systematic reviews, and seven randomized controlled trials. The findings were synthesized into five themes: visitation, assessment, non-pharmacological management, psychological and physical care, and health education, with a total of 26 best evidence points.Conclusions:The best evidence summarized in this study provides an evidence-based foundation for ICU healthcare providers to guide and encourage family participation in delirium management, which aida in the prevention of delirium in ICU patients.

Objective To observe the effect of Jiawei Jianshen prescription on idiopathic membranous nephropathy(IMN)with spleen-kidney deficiency and its influence on phospholipase A2 receptor(PLA2R)titer.Methods A total of 60 patients with IMN who were hospitalized or outpatients in Liuzhou Traditional Chinese Medical Hospital from January 2021 to July 2022 were selected and divided into control group and treatment group by simple random sampling method,with 30 cases in each group.The control group was given basic treatment alone,and the treatment group was given Jiawei Jianshen prescription + basic treatment.Blood urea nitrogen(BUN),serum creatinine(SCr),serum albumin(ALB),24h urinary protein quantitative and PLA2R titer were compared between two groups before and after treatment.The therapeutic effect of two groups was evaluated.Results The total effective rate of treatment group was significantly higher than that of control group(χ2=60.000,P<0.001).After treatment,the scores of edema,abdominal distension,fatigue,soreness and weakness of waist and knees in treatment group were significantly lower than those in control group(P<0.05).24h urinary protein and PLA2R titer in treatment group were significantly lower than those in control group,and ALB was significantly higher than that in control group(P<0.05).Conclusion Jiawei Jianshen prescription can significantly improve the clinical symptoms of IMN patients with spleen-kidney deficiency,increase serum ALB level,reduce 24h urinary protein quantity and PLA2R titer.

Objective:To develop a post-stroke insomnia (PSI) evidence-based nursing practice protocol to provide reference for the implementation of insomnia nursing in stroke patients.Methods:In January 2022, a research team was formed. Based on evidence-based principles, systematically searched and summarized high-quality evidence of Western medicine care and Chinese medicine care related to PSI to develop the first draft of the evidence-based nursing practice protocol for PSI, invited medical experts and nursing experts in the field of stroke care, medical treatment, research and teaching, and the protocol was revised through 2 rounds of Delphi expert consultation to form the final draft of the protocol.Results:A total of 15 experts were invited, 3 males and 12 females; 2 between 31 and 40 years of age, 6 between 41 and 50 years of age, and 7 between 51 and 60 years of age.The positive coefficient for both rounds of expert consultation was 100% and the expert authority coefficient was 0.89; the Kendall coordination coefficients for the importance and feasibility scores of the entries in the 2 rounds expert consultation were 0.188 and 0.146, 0.224 and 0.188 (all P<0.01). The PSI evidence-based nursing practice protocol included 27 entries in 6 dimensions: assessment of sleep quality, diagnosis of PSI, development of an individualized plan, non-pharmacological interventions, Chinese medicine nursing interventions, preparation for discharge and follow-up. Conclusions:The PSI evidence-based nursing practice protocol is scientific, reliable and applicable, and can provide a reference for the nursing practice of PSI patients.

Objective:To investigate the association between fasting blood glucose (FBG) variability and the risk of developing gestational diabetes mellitus.Methods:Ninety patients with gestational diabetes mellitus admitted to Jiaxing Maternity and Child Health Care Hospital between January 2022 and April 2023 were included in this study. Based on the blood glucose results obtained from the 75 g oral glucose tolerance test, these patients were divided into two groups: the normal blood glucose group (Group A, n = 56) and the elevated blood glucose group (Group B, n = 34). Multivariate logistic binary regression analysis was conducted to identify independent risk factors for gestational diabetes mellitus. Additionally, an analysis was conducted to investigate the association between long-term fasting blood glucose standard deviation (SD FBG), coefficient of variation (CV FBG), average successive variability of fasting blood glucose (ASV FBG), and the severity of gestational diabetes mellitus. Results:The FBG levels [(6.83 ± 1.03) mmol/L vs. (4.62 ± 0.58) mmol/L], 1-hour postprandial blood glucose [(13.03 ± 1.39) mmol/L vs. (11.42 ± 1.04) mmol/L], and 2-hour postprandial blood glucose [(10.23 ± 1.51) mmol/L vs. (9.42 ± 0.74) mmol/L] between the two groups ( F = 887.43, 144.76, 10.39, all P < 0.05). Furthermore, the glycated hemoglobin levels were significantly elevated in Group B [(7.19 ± 1.01) mmol/L] compared with Group A [(5.03 ± 0.42) mmol/L, t =14.15, P < 0.05). When compared with Group A, patients in Group B exhibited significantly higher values for ASV FBG [(0.58 ± 0.23) mmol/L vs. (0.36 ± 0.26) mmol/L], SD FBG [(0.55 ± 0.38) mmol/L vs. (0.41 ± 0.21) mmol/L], and CV FBG [(9.43 ± 2.45) mmol/L vs. (6.94 ± 1.31) mmol/L] ( t = 4.06, 2.25, 6.28, all P < 0.05). Additionally, the age and pre-pregnancy body mass index were significantly higher in Group B compared with Group A ( t = 3.82, 7.53, both P < 0.05). Age, pre-pregnancy body mass index, fasting blood glucose, 1-hour postprandial blood glucose, 2-hour postprandial blood glucose, glycated hemoglobin, ASV FBG, SD FBG, and CV FBG were identified as risk factors for severe gestational diabetes mellitus ( OR = 1.230, 1.887, 301.406, 3.957, 1.947, 41.861, 5.421, 2.057, all P < 0.05). Furthermore, SD FBG, ASV FBG, and CV FBG were positively correlated with the severity of gestational diabetes mellitus ( r = 0.234, 0.555, 0.408, all P < 0.05). Conclusion:Fasting blood glucose variability is positively correlated with the risk of developing gestational diabetes mellitus. Age, pre-pregnancy body mass index, fasting blood glucose, 1-hour postprandial blood glucose, 2-hour postprandial blood glucose, glycated hemoglobin, ASV FBG, SD FBG, and CV FBG are also risk factors affecting the severity of gestational diabetes mellitus.

Objective:To construct a thirst management scheme for adult surgical patients and provide practical guidance for nurses to carry out perioperative thirst management.Methods:From April to May 2023, literature search was conducted to extract domestic and foreign evidence related to thirst, and after group discussion, a preliminary management plan for thirst in adult surgical patients was constructed. From May to June 2023, 18 experts were selected for two rounds of Delphi expert letter consultation, and a formal plan for thirst management of adult surgical patients was discussed and revised according to expert opinions.Results:A total of 18 experts completed two rounds of expert letter consultation. The effective recovery rate of the questionnaire was 100.00% and the expert authority coefficient was 0.915. The coefficients of variation for the importance and operability scores of the first round of expert inquiry were 0.05-0.25 and 0.06-0.42, respectively, and the Kendall's harmony coefficients were 0.224 and 0.184 ( P<0.01). The coefficients of variation for the importance and operability scores of the second round of inquiry were 0.05-0.23 and 0.06-0.24, respectively, and the Kendall's harmony coefficients were 0.166 and 0.154 ( P<0.01). The final thirst management scheme included five primary items (preliminary preparation, identification and evaluation, preoperative relief strategies, postoperative intervention measures and effectiveness evaluation) and 23 secondary items. Conclusions:The thirst management scheme for adult surgical patients constructed in this study is scientific and comprehensive, which can provide a reference basis for clinical practice.

Objective:To explore the effect of communication competence and psychological resilience on job burnout among Operating Room nurses.Methods:From March to June 2023, randomized clustering sampling was used to select 138 registered Operating Room nurses from four ClassⅢ Grade A hospitals in Taizhou for investigation. The survey was conducted using the general information questionnaire, Operating Room Nurses' Job Stressor Scale, Chinese version of the Connor-Davidson Resilience Scale, Nurses' Clinic Communication Competence Scale, and Maslach Burnout Inventory-General Survey. Hierarchical linear regression analysis was used to explore the effects of communication competence and psychological resilience on job burnout among Operating Room nurses.Results:A total of 138 questionnaires were sent out, and 133 valid questionnaires were collected, with a valid response rate of 96.38% (133/138). Among 133 Operating Room nurses, the job burnout score was (56.35±9.28), and the communication competence, psychological resilience, and work stress scale scores were (196.71±18.92), (78.09±18.31), and (96.37±22.47), respectively. Pearson correlation showed that job burnout among Operating Room nurses was negatively correlated with psychological resilience ( r=-0.475, P<0.01) and communication competence ( r=-0.241, P<0.01), and positively correlated with work stress ( r=0.360, P<0.01). Hierarchical linear regression analysis showed that, after controlling for other variables, psychological resilience and communication competence were the influencing factors of job burnout among Operating Room nurses ( P<0.01), which could explain 17.70% of the variation. Conclusions:The level of job burnout among Operating Room nurses is relatively high, and psychological resilience and communication competence are independent influencing factors. Managers can provide psychological counseling and support services for Operating Room nurses, offer communication competence training programs, and prevent and reduce job burnout among Operating Room nurses.

Objective To systematically analyze the clinical pharmaceutical rehabilitation model based on data mining,so as to explore its role in improving drug treatment efficacy,reducing drug side effects,and optimizing rehabilitation experience.Methods We retrieved published literatures related to clinical pharmaceutical rehabilitation from CNKI,Wanfang,VIP,and PubMed,with a search time from inception to June 30,2022.Results Totally 11 articles were enrolled in this study.A study involving 69 randomized controlled trials(RCTs)demonstrated that the involvement of pharmacists in medication reviews significantly improved the control of hypertension,type 2 diabetes,and high cholesterol.The odds ratio(OR)for improved control was 2.71(95%confidence interval[CI]:1.03-7.01)for hypertension,3.12(95%CI:1.12-5.84)for type 2 diabetes,and 1.90(95%CI:1.05-3.35)for high cholesterol.A study involving 6 RCTs and 2 573 patients with chronic kidney disease(CKD)showed that pharmacist-led blood pressure monitoring,lifestyle,and medication regimen assessments significantly improved blood pressure control in CKD patients,with an OR of 1.51(95%CI:1.13-2.03).A Meta-analysis,including 5 RCTs and 3 observational studies,explored the impact of medication education and behavioral interventions on the treatment outcomes of gout.The results revealed that patients receiving medication education and behavioral interventions had a significantly higher rate of uric acid control and a higher proportion of patient with uric acid less than 360 μmol/L.A Meta-analysis of 14 RCTs involving 4 509 patients showed that pharmacist interventions such as medication education and counseling significantly reduced the 30-day readmission rates for hypertension and diabetes patients,with a relative risk(RR)of 0.75(95%CI:0.53-0.96).Eighteen RCTs involving 7 244 patients investigated the impact of pharmacist-led discharge counseling on the readmission rate.The findings showed that discharge counseling significantly reduced readmission rate,with a RR of 0.864(95%CI:0.763-0.997,P=0.020).Eight studies assessed the impact of pharmacist services on readmission rate,and the result showed that patients receiving pharmacy-related services had significantly reduced readmission rates,with a 32%reduction in the risk of readmission(OR=0.74,95%CI:0.62-0.89).A Meta-analysis including 123 studies investigated the effect of pharmacist interventions in patient care on the readmission rate,and the result indicated that pharmacist interventions led to a decrease in readmission rates,with the maximum decrease of 44.5%.A Meta-analysis of 23 RCTs evaluated the impact of pharmacist interventions on medication-related adverse events in elderly residents of nursing homes.The study found that pharmacist-led medication reviews and education significantly reduced adverse events.Another Meta-analysis of 14 RCTs and intervention studies explored the effect of pharmacist involvement in multidisciplinary care on medication-related adverse events.The analysis showed that pharmacist participation in multidisciplinary care was significantly associated with a reduction in the incidence of adverse events(RR=0.47,95%CI:0.28-0.77,P<0.01).A Meta-analysis of 6 RCTs involving 29 291 pediatric inpatients revealed that pharmacist interventions effectively reduced the risk of medication errors in hospitalized children(OR=0.27,95%CI:0.15-0.49).A literature analysis on the effectiveness of clinical pharmaceutical services in patient drug treatment showed that introducing a clinical pharmaceutical service model can reduce the use of antibiotics,lower medical costs,and improve medication satisfaction among patients treated with antibiotics.Conclusion In-depth exploration of clinical pharmaceutical rehabilitation model plays an important role in clinical treatment,which can improve the effectiveness of rehabilitation and reduce the incidence of adverse reactions.