This paper reviews the current application status of big language model in nursing, the needs for information technology development in critical care nursing, the current application status of and future development direction of big language model in critical care nursing, as well as the risks and challenges faced, with a view to providing a reference for promoting the application of big language model in critical care nursing.

This paper reviews the current application status of big language model in nursing, the needs for information technology development in critical care nursing, the current application status of and future development direction of big language model in critical care nursing, as well as the risks and challenges faced, with a view to providing a reference for promoting the application of big language model in critical care nursing.

Background Currently,the diagnosis of depressive disorder relies on symptomatology,which is greatly influenced by subjective factors such as clinicians' experience.Finding more accurate and reliable quantitative diagnostic methods is currently an urgent problem.Objective To explore the value of Fisher discriminant function based on inflammatory cytokines in the diagnosis of depressive disorder,so as to provide references for clinical diagnosis.Methods A total of 136 patients diagnosed with depressive disorder according to the Diagnostic and Statistical Manual of Mental Disorders,fifth edition(DSM-5)criteria,who underwent inpatient treatment at Hebei Mental Health Center from April 2020 to November 2020,were enrolled as study group.67 healthy participants matched for age and gender,was recruited during the same period.Serum levels of inflammatory cytokine were measured using enzyme-linked immunosorbent assay(ELISA).Fisher discriminant model was employed to establish a discriminant function for inflammatory cytokines exhibiting significant statistical differences between study group and control group,which was then validated.Results The levels of pro-inflammatory cytokines interleukin-1β(IL-1β),interleukin-6(IL-6),interferon-γ(INF-γ)and tumor necrosis factor-α(TNF-α)were higher in the study group compared with control group,with statistically significant differences(U=9.115,5.239,4.431,5.428,P<0.01).Conversely,the levels of anti-inflammatory cytokines interleukin-4(IL-4),interleukin-10(IL-10)and interleukin-13(IL-13)were lower in the study group compared with control group,with statistically significant differences(U=7.398,7.331,7.614,P<0.01).The retrospective test in Fisher discriminant function achieved a correct discrimination rate of 89.66%,and the cross validation achieved a correct discrimination rate of 88.67%.Conclusion The Fisher discriminant function developed in this study may serve as a valuable auxiliary method in the diagnosis of depressive disorder.

Objective:To investigate the sedative effect of remimazolam on ICU elderly patients undergoing mechanical ventilation and its influence on circulatory system.Methods:Using a prospective research approach, 189 ICU elderly patients undergoing mechanical ventilation in Hebei Petro China Central Hospital from October 2021 to June 2023 were selected. The patients were divided into remimazolam group, dexmedetomidine group and propofol group by random number table method with 63 cases in each group. The patients in remimazolam group, dexmedetomidine group and propofol group were sedated with remimazolam, dexmedetomidine and propofol, respectively. The sedation standard time, sedation standard rate, sedation maintenance time and recovery time after drug withdrawal were compared among the three groups. The heart rate, mean arterial pressure (MAP), respiratory rate and pulse oxygen saturation (SpO 2) before medication (T 0) and medication for 15 min (T 1), 30 min (T 2), 1 h (T 3), 6 h (T 4), 12 h (T 5) were recorded. The incidences of bradycardia, hypotension, respiratory depression, body movement and delirium during sedation were recorded. Results:The sedation standard time and recovery time after drug withdrawal in remimazolam group were significantly shorter than those in dexmedetomidine group and propofol group: (22.27 ± 5.31) min vs. (29.45 ± 6.24) and (30.12 ± 5.87) min, (28.66 ± 7.06) min vs. (32.22 ± 6.85) and (34.34 ± 7.24) min, and there were statistical differences ( P<0.05); there were no statistical difference between dexmedetomidine group and propofol group ( P>0.05). The sedation standard rate in remimazolam group and dexmedetomidine group was significantly higher than that in propofol group: 87.43% (661/756) and 83.60% (632/756) vs. 72.49% (548/756), and there was statistical difference ( P<0.016 7); there was no statistical difference between remimazolam group and dexmedetomidine group ( P>0.016 7). There was no statistical difference in sedation maintenance time among the three groups ( P>0.05). There were no statistical difference in T 0 heart rate, MAP, respiratory rate and SpO 2 among the three groups ( P>0.05). The T 1 to T 5 heart rate and MAP in remimazolam group were significantly higher than those in dexmedetomidine group and propofol group, the T 2 to T 5 heart rate and MAP in dexmedetomidine group were significantly lower than those in propofol group, and there were statistical differences ( P<0.05). The T 2 to T 5 respiratory rate in remimazolam group was significantly lower than that in dexmedetomidine group, the T 1 to T 5 respiratory rate in remimazolam group and dexmedetomidine group was significantly higher than that in propofol group, and there were statistical differences ( P<0.05). The T 2 to T 5 SpO 2 in remimazolam group and dexmedetomidine group was significantly higher than that in propofol group, and there was statistical difference ( P<0.05). The incidence of bradycardia in remimazolam group was significantly lower than that in dexmedetomidine group: 7.94% (5/63) vs. 25.40% (16/63), the incidence of hypotension was significantly lower than that in propofol group: 6.35% (4/63) vs. 23.81% (15/63), and there were statistical differences ( P<0.016 7). The incidence of respiratory depression in remimazolam group and dexmedetomidine group was significantly lower than that in propofol group: 4.76% (3/63) and 1.59% (1/63) vs. 22.22% (14/63), and there was statistical difference ( P<0.016 7). There was statistical difference in incidence of delirium among the three groups ( P<0.05), but there was no statistically significant difference in pairwise comparison ( P>0.016 7). There was no statistical difference in the incidence of body movement among the three groups ( P>0.05). Conclusions:The effect of remimazolam sedation in ICU elderly patients undergoing mechanical ventilation is satisfactory, with little influence on circulation and respiratory system and few adverse reactions.

Objective:To explore the relationship between metabolic score for insulin resistance (METS-IR) and chronic kidney disease (CKD) and albuminuria in the Chinese population.Methods:This cross-sectional study was conducted from January to December 2018 among residents aged 20 to 70 years in ten regions of eight provinces in China; all residents had lived in their region for more than 5 years. Various parameters were measured, included fasting blood glucose, 2-hour postprandial blood glucose, glycosylated hemoglobin (HbA 1c), blood lipids, renal function, urinary albumin/creatinine ratio (UACR), etc. Data of 5 060 subjects meeting the criteria were included in the study. CKD was defined as estimated glomerular filtration rate (eGFR)<60 ml·min -1·1.73 m -2 or UACR≥30 mg/g. Albuminuria was defined as UACR≥30 mg/g. METS-IR was calculated and categorized into quartiles: Q1, METS-IR≤32.19; Q2, METS-IR 32.20-37.10; Q3, METS-IR 37.11-42.58; and Q4, METS-IR>42.58. The correlation between METS-IR and CKD and albuminuria was analyzed by binary logistic regression, and subgroup analyses were performed. Results:There were 1 266, 1 266, 1 265, and 1 263 participants included in Q1-Q4 groups, respectively. With the increase of METS-IR quartile, various parameters increased, including age, fasting blood glucose, HbA 1c, triglycerides, serum uric acid, waist circumference, body mass index, and systolic and diastolic blood pressure, and the proportion of males also increased (all P<0.05). The proportion of patients with CKD and albuminuria increased significantly with the increase in interquartile range (Q) of METS-IR (all P<0.05). Logistic regression analysis showed that for every 1-unit increment of METS-IR, the risk of CKD and albuminuria were both increased by 2% [for both: odds ratio ( OR)=1.02, 95% confidence interval ( CI) 1.01-1.03]. Compared with the lowest METS-IR group (Q1), the ORs for CKD and albuminuria in the highest METS-IR group (Q4) were 1.57 (95% CI 1.17-2.10) and 1.46 (95% CI 1.09-1.96), respectively. In the subgroup analyses, increased METS-IR was significantly associated with CKD and albuminuria among women (CKD: OR=1.62, 95% CI 1.14-2.31; albuminuria: OR=1.53, 95% CI 1.07-2.18), individuals with HbA 1c<7% ( OR=1.64, 95% CI 1.21-2.23; OR=1.55, 95% CI 1.14-2.11), individuals with eGFR≥90 ml·min -1·1.73 m -2 ( OR=1.78, 95% CI 1.27-2.49; OR=1.80, 95% CI 1.28-2.53), and the Chinese Han population ( OR=1.56, 95% CI 1.13-2.17; OR=1.41, 95% CI 1.01-1.96). Conclusions:METS-IR is significantly associated with CKD and albuminuria in a Chinese population. Furthermore, the higher the METS-IR, the higher the risk of CKD and albuminuria.

OBJECTIVE: To evaluate the performance of recombinase-aided amplification (RAA) assay in detection of Clonorchis sinensis metacercariae in freshwater fish samples, so as to provide insights into standardization and field application of this assay. METHODS: Wild freshwater fish samples were collected in the rivers of administrative villages where C. sinensis-infected residents lived in Jiangyan District, Xinghua County and Taixing County of Taizhou City, Jiangsu Province from June to September 2022. Genomic DNA was extracted from six freshwater fish specimens (5 g each) containing 0, 1, 2, 4, 8 and 16 C. sinensis metacercariae for fluorescent RAA assay, and the diagnostic sensitivity was evaluated. Fluorescent RAA assay was performed with genomic DNA from C. sinensis, Metorchis orientalis, Haplorchis pumilio and Centrocestus formosanus metacercariae as templates to evaluate its cross-reactions. In addition, the detection of fluorescent RAA assay and direct compression method for C. sinensis metacercariae was compared in field-collected freshwater fish samples. RESULTS: Positive amplification was found in fresh-water fish specimens containing different numbers of C. sinensis metacercariae, and fluorescent RAA assay was effective to detect one C. sinensis metacercaria in 5 g freshwater fish specimens within 20 min. Fluorescent RAA assay tested negative for DNA from M. orientalis, H. pumilio and C. formosanus metacercariae. Fluorescent RAA assay and direct compression method showed 5.36% (93/1 735) and 2.88% (50/1 735) detection rates for C. sinensis metacercariae in 1 735 field-collected freshwater fish samples, with a statistically significant difference seen (χ² = 478.150, P < 0.001). There was a significant difference in the detection of C. sinensis metacercariae in different species of freshwater fish by both the direct compression method (χ² = 11.20, P < 0.05) and fluorescent RAA assay (χ² = 20.26, P < 0.001), and the detection of C. sinensis metacercariae was higher in Pseudorasbora parva than in other fish species by both the direct compression method and fluorescent RAA assay (both P values < 0.05). CONCLUSIONS Fluorescent RAA assay has a high sensitivity for detection of C. sinensis metacercariae in freshwater fish samples, and has no cross-reactions with M. orientalis, H. pumilio or C. formosanus metacercariae. Fluorescent RAA assay shows a higher accuracy for detection of C. sinensis infections in field-collected freshwater fish than the direct compression method.
Animals ; Clonorchis sinensis/genetics* ; Metacercariae/genetics* ; Recombinases ; Fresh Water ; Fishes ; DNA ; Fish Diseases/diagnosis*

Objective:To investigate the effects of intervention mapping on cardiopulmonary function for patients with acute heart failure in compensatory period, so as to provide references for their early rehabilitation activities.Methods:A total of 90 patients with acute heart failure admitted to Fuwai Central China Cardiovascular Hospital from October 2018 to October 2019 were enrolled in the present study. They were divided into experimental group and control group according to draw-lots-method, with 45 cases in each group. The control group received the routine care and activity plan, while the experimental group implemented intervention mapping-based stage early rehabilitation program. The indicators included 6MWT, forced expiratory volume in one second (FEV 1), brain natriuretic peptide (BNP) as well as Minnesota Living with Heart Failure Questionnaire (MLHFQ), and the intervention effects were compared between the two groups. Results:There were no significant differences in FEV 1, 6MWT, BNP and MLHFQ scores between the two groups at admission ( P>0.05). On discharge, FEV 1, 6MWT were (2.17±0.44) L, (273.09±55.80) m in the experimental group, significantly higher than (1.94 ± 0.39) L and (236.44 ± 50.99) m in the control group; the plasma BNP were (676.79 ± 78.75) ng/L in the experimental group, significantly lower than (736.05 ± 78.77) ng/L in the control group; in addition, the physical demention, emotional dimenson, other demension scores and total scores of MLHFQ in the experimental group were (65.39 ± 5.02), (67.56 ± 4.99), (66.05 ± 4.16) and (66.33 ± 2.63) points, significantly higher than (59.79 ± 5.94), (64.33 ± 5.93), (62.76 ± 4.47), (62.36 ± 2.98) points in the control group, the differences were statistically significant ( t values were 2.56-6.51, all P<0.05). Conclusions:Designing and implementing stage early rehabilitation program using intervention mapping can promote cardiopulmonary function and quality of life of patients with acute heart failure in compensatory period.

Objective:To establish the reference for serum metabolomics profiles among healthy Han adults in China, and explore the variation on metabolomics profiles by geographic regions, sex, and age.Methods:Cross-sectional data and serum samples were obtained from the China National Health Survey. A total of 1 039 male and 1 032 female healthy adults(≥30 years) were included in this study. Serum metabolomics analyses were conducted with ultra-performance liquid chromatography-mass spectrometry(UPLC-MS). Orthogonal partial least squares discriminant analysis(OPLS-DA) was performed to compare the differences of metabolomics among different region, sex, and age.Results:Significant differences on metabolomics profiles were identified among region, sex, and age. A total of 114 region-related metabolites were spotted, including 53 metabolites that involved in human metabolic pathways, mainly peptides(20 metabolites) and glycerophospholipid metabolism-related(14 metabolites). Fifty-nine metabolites were pinned down to be sex-related, among which cotinine was significant in all 7 provinces. Age-related metabolites were only found in Shaanxi and Hainan, with 22 metabolites were recognized.Conclusion:Serum metabolomics varies by geographic regions, sex, and age. When metabolomics is applied for diagnosis or biomarker screening in various studies, it shall take into consideration of setting tailored references.

The policy implementation model of G. C. Edwards was used to analyze the public policy health impact assessment in Zhejiang province, and summarize its practice and existing problems in four aspects of policy implementation standards, policy resources, policy executors′ intention and management organization structure, so as to provide reference for promoting the national health impact assessment pilot work. The analysis results showed that Zhejiang province has initially established the public policy health impact assessment mechanism and achieved phased results, but there were still some problems, including the imperfection of policy content and implementation strategy, the inadequacy of leadership decision-making and top-level design, the difference in attitude, understanding and implementation preference of policy implementation subjects, and the ambiguity of the authority and responsibility system of each department in cooperation. In order to further promote the smooth development of public policy health impact assessment, Zhejiang province should actively promote the top-level design to strengthen policy support, integrate and optimize policy resources, gradually establish and improve the health governance mechanism of multiple and overall coordination, and promote the high-quality development of public policy health impact assessment by taking cross departmental cooperation as the path of health co-construction.

Objective To investigate the independent association of the body mass index(BMI) with serum uric acid among shorter children and adolescent. Methods A cross-sectional study was conducted to collect general clinical data of 922 subjects with shorter statures. In each case, their information about height, weight, insulin-like growth factor-Ⅰ(IGF-Ⅰ), growth hormone peak, uric acid, and blood lipids were collected, and their BMI and BMI standard deviations score( SDS) were calculated. Smooth curve fitting and multiple piecewise linear regression were used to analyze the relationship between BMI SDS and uric acid. Results Univariate analysis found that serum uric acid was positively correlated with age, height standard deviation score, body weight standard deviation score, BMI SDS, IGF-Ⅰ standard deviation score, growth hormone peak, triglyceride, and creatinine ( P＜0. 05 ), while negatively correlated with high-density lipoprotein-cholesterol( P＜0.01). Female had significantly lower serum uric acid levels than male(P=0.003). The serum uric acid level was significantly increased after puberty(P＜0.01). After adjusting for potential confounders, the smooth curve fitting revealed a U-shaped relationship between BMI SDS and uric acid, with a BMI SDS inflection point of-0.7. In the population of BMI SDS＜-0.7, for every unit increase of BMI SDS, serum uric acid decreased by 11. 78 μmol/L( P=0. 030). In the population of BMI SDS≥-0. 7, uric acid increased by 11.79 μmol/L(P＜0.01) for every unit increase of BMI SDS. Conclusion Serum uric acid levels seem to be affected by BMI, and increased in population with thin or obesity. We should pay attention to the measurement of serum uric acid in both thin and obese children.