Objective:To identify the independent factors of unplanned interruption during continuous renal replacement therapy (CRRT) and construct a risk prediction model, and to verify the clinical application effectiveness of the model.Methods:A retrospective study was conducted on critically ill adult patients who received CRRT treatment in the intensive care unit (ICU) of Zhejiang Hospital from January 2021 to August 2022 for model construction. According to whether unplanned weaning occurred, the patients were divided into two groups. The potential influencing factors of unplanned CRRT weaning in the two groups were compared. The independent influencing factors of unplanned CRRT weaning were screened by binary Logistic regression and a risk prediction model was constructed. The goodness of fit of the model was verified by a Hosmer-Lemeshow test and its predictive validity was evaluated by receiver operator characteristic curve (ROC curve). Then embed the risk prediction model into the hospital's ICU multifunctional electronic medical record system for severe illness, critically ill patients with CRRT admitted to the ICU of Zhejiang Hospital from November 2022 to October 2023 were prospectively analyzed to verify the model's clinical application effect.Results:① Model construction and internal validation: a total of 331 critically ill patients with CRRT were included to be retrospectively analyzed. Among them, there were 238 patients in planned interruption group and 93 patients in unplanned interruption group. Compared with the planned interruption group, the unplanned interruption group was shown as a lower proportion of males (80.6% vs. 91.6%) and a higher proportion of chronic diseases (60.2% vs. 41.6%), poor blood purification catheter function (31.2% vs. 6.3%), as a higher platelet count (PLT) before CRRT initiation [×10 9/L: 137 (101, 187) vs. 109 (74, 160)], lower level of blood flow rate [mL/min: 120 (120, 150) vs. 150 (140, 180)], higher proportion of using pre-dilution (37.6% vs. 23.5%), higher filtration fraction [23.0% (17.5%, 32.9%) vs. 19.1% (15.7%, 22.6%)], and frequency of blood pump stops [times: 19 (14, 21) vs. 9 (6, 13)], the differences of the above 8 factors between the two groups were statistically significant (all P < 0.05). Binary Logistic regression analysis showed that chronic diseases [odds ratio ( OR) = 3.063, 95% confidence interval (95% CI) was 1.200-7.819], blood purification catheter function ( OR = 4.429, 95% CI was 1.270-15.451), blood flow rate ( OR = 0.928, 95% CI was 0.900-0.957), and frequency of blood pump stops ( OR = 1.339, 95% CI was 1.231-1.457) were the independent factors for the unplanned interruption of CRRT (all P < 0.05). These 4 factors were used to construct a risk prediction model, and ROC curve analysis showed that the area under the curve (AUC) predicted by the model was 0.952 (95% CI was 0.930-0.973, P = 0.003 0), with a sensitivity of 88.2%, a specificity of 89.9%, and a maximum value of 1.781 for the Youden index. ② External validation: prospective inclusion of 110 patients, including 63 planned interruption group and 47 unplanned interruption group. ROC curve analysis showed that the AUC of the risk prediction model was 0.919 (95% CI was 0.870-0.969, P = 0.004 3), with a sensitivity of 91.5%, a specificity of 79.4%, and a maximum value of the Youden index of 1.709. Conclusion:The risk prediction model for unplanned interruption during CRRT has a high predictive efficiency, allowing for rapid and real-time identification of the high risk patients, thus providing references for preventative nursing.

Objective:To investigate the value of high-flow oxygen therapy after weaning in successful extubation of critically ill patients with mechanical ventilation.Methods:A retrospective study was conducted. The weaned patients who were older than 18 years old and underwent mechanical ventilation for the first time due to cerebrovascular accidents, surgical operations, cardiovascular diseases, and pneumonia admitted to the department of critical care medicine of Zhejiang Hospital from January 2018 to June 2020 were enrolled. Among the patients, 40 cases received high-flow oxygen therapy after weaning, and 37 cases received Venturi combined with the humidifier. The patient's gender, age, primary disease, severity score, duration of mechanical ventilation before weaning, heart rate (HR), blood pressure, pulse oxygen saturation (SpO 2) at 0, 6, 12, 18, and 24 hours after weaning, and pH value, arterial partial pressure of oxygen (PaO 2), arterial partial pressure of carbon dioxide (PaCO 2) at 6, 12, 18, and 24 hours after weaning, the rate of performing mechanical ventilation after weaning, extubation time after weaning, and the rate of reintubation after extubation for 72 hours were collected. Results:There was no significant difference in baseline data such as gender, age, primary disease, severity score, and duration of mechanical ventilation before weaning between the two groups. After weaning, the vital signs of the two groups were stable, and there was no significant difference in HR, systolic blood pressure (SBP), diastolic blood pressure (DBP) or SpO 2 at each time point between the two groups. After weaning, the pH of arterial blood gas analysis in the two groups and the fluctuations of PaO 2 and PaCO 2 in the high-flow group were not obvious. In the Venturi group, PaO 2 gradually decreased after weaning, PaCO 2 increased significantly at 12 hours, and slowly decreased after 12 hours. The PaO 2 from 6 hours and PaCO 2 from 12 hours in the high-flow group were significantly lower than those in the Venturi group, and continued to 24 hours [PaO 2 (mmHg, 1 mmHg≈0.133 kPa): 112.34±38.25 vs. 156.76±68.44 at 6 hours, 110.92±38.66 vs. 150.64±59.07 at 12 hours, 111.12±36.77 vs. 141.30±39.05 at 18 hours, 110.82±39.37 vs. 139.65±41.50 at 24 hours; PaCO 2 (mmHg): 41.30±7.51 vs. 47.42±7.54 at 12 hours, 40.97±6.98 vs. 45.83±8.63 at 18 hours, 40.10±7.06 vs. 46.14±9.15 at 24 hours, all P < 0.01]. The rate of performed mechanical ventilation after weaning and the rate of reintubation after extubation for 72 hours in the high-flow group were significantly lower than those in the Venturi group [17.5% (7/40) vs. 40.5% (15/37), 6.2% (2/32) vs. 31.8% (7/22), both P < 0.05], and the extubation time after weaning was significantly shorter than that in the Venturi group (hours: 22.43±11.72 vs. 28.07±10.42, P < 0.05). Conclusion:Using high-flow oxygen therapy to the extubation process of critically ill mechanical ventilation patients can reduce the incidence of carbon dioxide retention and the rate of performed mechanical ventilation after weaning, shorten the extubation time after weaning, and reduce the rate of reintubation after extubation for 72 hours.

Objective: To investigate the endothelial protective effects of simvastatin on the coagulation system in septic rats. Methods: A total of 54 SD male rats were divided into 3 groups. Six healthy rats were intraperitoneally injected with normal salineas control group. Twenty-four rats in septic group were intraperitoneally injected with normal saline followed by lipopolysaccharide 2.5 mg. Study group had 24 rats intraperitoneally injected with simvastatin followed by lipopolysaccharide. Plasma von Willebrand factor (vWF), thrombomodulin (TM), platelet activating factor (PAF) and antithrombin-Ⅲ (AT-Ⅲ) were tested at 1 h, 3 h, 6 h and 12 h after treatment. Scanning electron microscopy and transmission electron microscopy were used to observe the morphology and apoptosis of rat aorta endothelial cells. Results: Compared with healthy control group, vWF [(68.3±4.8) ng/ml, (59.2±5.1) ng/ml, (74.2±20.1) ng/ml, (53.5±4.0)ng/ml, respectively], TM [(1.4±0.3) ng/ml, (1.6±0.4) ng/ml, (2.8±0.9) ng/ml, (1.4±0.5) ng/ml, respectively], PAF [(29.1±6.5) pg/ml, (28.6±1.5) pg/ml, (28.7±2.7) pg/ml, (18.2±4.1) pg/ml, respectively] and AT-Ⅲ [(262.2±38.1)μg/ml, (233.0±70.4) μg/ml, (218.7±54.7) μg/ml, (162.2±37.2) μg/ml, respectively] were significantly increased in the sepsis group at 1 h, 3 h, 6 h and 12 h (P<0.05). Compared with the sepsis group, the plasma levels of PAF in simvastatin intervention group at 1 h [(15.6±2.5) pg/ml, 3 h(10.4±5.3) pg/ml, 6 h (9.3±1.4) pg/ml, 12 h(11.0±2.7) pg/ml] were significantly decreased, so were the TM level at 6 h (1.6±0.9) ng/ml, and the AT-Ⅲ levels at 1 h[(190.3±29.2) μg/ml],6 h [(104.4±33.6) μg/ml] and 12 h [(73.6±39.0) μg/ml, P<0.05]. Conclusion In the condition of sepsis, toxins and over-activated inflammatory factors damage the vascular endothelium. A large amount of circulating vWF, TM, PAF, and AT-Ⅲ cause early hypercoagulability. Simvastatin significantly reduces plasma amount of these procoagulants, suggesting it smodification of coagulopathy and vascular protective effectsin a septic rat model.

Aiming at the problem that the small samples of critical disease in clinic may lead to prognostic models with poor performance of overfitting, large prediction error and instability, the long short-term memory transferring algorithm (transLSTM) was proposed. Based on the idea of transfer learning, the algorithm leverages the correlation between diseases to transfer information of different disease prognostic models, constructs the effictive model of target disease of small samples with the aid of large data of related diseases, hence improves the prediction performance and reduces the requirement for target training sample quantity. The transLSTM algorithm firstly uses the related disease samples to pretrain partial model parameters, and then further adjusts the whole network with the target training samples. The testing results on MIMIC-Ⅲ database showed that compared with traditional LSTM classification algorithm, the transLSTM algorithm had 0.02-0.07 higher AUROC and 0.05-0.14 larger AUPRC, while its number of training iterations was only 39%-64% of the traditional algorithm. The results of application on sepsis revealed that the transLSTM model of only 100 training samples had comparable mortality prediction performance to the traditional model of 250 training samples. In small sample situations, the transLSTM algorithm has significant advantages with higher prediciton accuracy and faster training speed. It realizes the application of transfer learning in the prognostic model of critical disease with small samples.

Objective:To investigate the nurses' attitude towards open visitation policy in intensive care unit (ICU) and its potential influence factors, and further to provide evidence for carrying out this policy in ICU.Methods:A self-designed, anonymous online questionnaire of "attitude of ICU nurses to open visiting system in ICU" was performed in 31 provinces, autonomous regions and municipalities in China from October to December 2019, using convenient sampling method approach. Only nurses working in ICU (including specialized ICU, but excluding the critical ward in general ward) and willing to participate in the survey were included. The survey included 35 items, including the general information of each participant, the attitude towards the implementation of the open visitation system in ICU and its potential influencing factors. Ordinal Logistic regression analysis was used to identify the significant influencing factors.Results:A total of 1 558 questionnaires were sent out and 1 546 effective questionnaires were retrieved, with a response rate of 99.2%. Overall, 32.2% of them agreed with the policy, 41.3% of them disagree with the policy and 26.5% of them were uncertain. The Ordinal Logistic regression analysis showed that the independent influencing factors of ICU nurses' attitude towards open visitation policy including the possibility of increasing healthcare-associated infection [disagree: β = 1.327, 95% confidence interval (95% CI) was 0.242 to 2.413, P = 0.017; uncertain: β = 0.697, 95% CI was 0.244 to 1.151, P = 0.003], the improvement of nurses' job satisfaction (disagree: β = -1.406, 95% CI was -1.750 to -1.062, P = 0.000; uncertain: β = -0.748, 95% CI was -1.030 to -0.466, P = 0.000), the information support for medical staffs from family members (disagree: β = -0.644, 95% CI was -1.048 to -0.240, P = 0.002; uncertain: β = -0.422, 95% CI was -0.721 to -0.124, P = 0.006), the feasibility that the family members can assist the nurses in the basic nursing for patients (uncertain: β = -0.465, 95% CI was -0.729 to -0.202, P = 0.001), reducing the time that a nurse spent on caring for the patients (uncertain: β = 0.349, 95% CI was 0.052 to 0.646, P = 0.021), improving early rehabilitation (disagree: β = -0.593, 95% CI was -1.166 to -0.019, P = 0.043), and getting psychological support for patients from family members (disagree: β = 1.293, 95% CI was 0.426 to 2.159, P = 0.003), family members' satisfaction (disagree: β = -0.981, 95% CI was -1.431 to -0.531, P = 0.000). Conclusion:ICU nurses in China have realized that open visitation policy has positive effect on patients' early rehabilitation, willing to live and satisfaction; meanwhile, this policy may need more improvement in many ways such as healthcare-associated infection control, disinfection and isolation, allocation of human resources and time spent treating and caring for patients.

Objective:To investigate the value of programmed death-1（PD-1） expression on the T lymphocytes for the prognosis of septic patients.Methods:From September 2017 to May 2019, septic patients were included in Department of Intensive Care Unit at 6 hospitals. The PD-1 expression on T cells were measured by flow cytometry. Logistic regression was conducted to analyze independent risk factors related to death within 28 days，and receiver operating characteristic curve(ROC) was conducted to evaluate the prognostic value of PD-1 expression on T cells in septic patients.Results:A total of 64 septic patients were enrolled to this study，including 32 survivors and 32 deaths. The PD-1 expression on T cells in the death group was significantly higher than that in the surviving group ( P<0.05). Correlation analysis showed that the percentages of PD-1 +/CD3 +T cells and PD-1 +/CD8 +T cells were positively correlated with procalciton in ( r=0.313, P =0.015； r=0.375, P=0.003), logistic regression analysis showed that the percentages of PD-1 +/CD3 +，PD-1 +/CD4 +，PD-1 +/CD8 +T cells were independent risk factors for the death of sepsis patients. The percentage of PD-1 +/CD3 +T cell was 3.63%, with AUC 0.842, sensitivity to predict the mortality 96.43% and specificity 59.38%, ( P<0.000 1). The percentage of PD-1 +/CD4 +T cell was 4.65%, with AUC 0.847, sensitivity 96.43%, specificity 62.50%，( P<0.000 1). The percentage of PD-1 +/CD8 +T cell was 3.91%, with AUC 0.771, sensitivity 64.29%, specificity 81.25%，( P=0.000 3). Conclusions:The T cell PD-1 expression is an independent risk factor to predict the 28-day mortality in septic patients. Combining the proportions of PD-1 +/CD3 +, PD-1 +/CD4 +and PD-1 +/CD8 +T cells may further enhance the predictive value for death.

OBJECTIVE: To explore the genetic basis for a sporadic case with neurofibromatosis type 1 (NF1). METHODS: Peripheral blood samples were collected from the patient, his unaffected parents and 100 healthy controls. The NF1 gene was detected by PCR and direct sequencing. RESULTS: The patient was found to carry a novel nonsense variant c.4339C>T (p.Q1447X) in exon 33 of the NF1 gene. The same variant was not found in his unaffected parents and the 100 healthy controls. CONCLUSION The c.4339C>T (p.Q1447X) variant probably underlies the pathogenesis of NF1 in this patient.

Objective To understand the internal circuit contamination of ventilator in mechanical ventilation patients, to evaluate the effect of ventilator internal circuit disinfection and the impact on the incidence of ventilator-associated pneumonia (VAP). Methods A total of 39 patients with mechanical ventilation admitted to intensive care unit (ICU) of Hangzhou Geriatric Hospital from January 2017 to June 2018 were enrolled. Routine mechanical ventilation treatments for patients included pipeline replacement, aseptic operation, prevention of infection, etc. After 2 weeks of mechanical ventilation, the internal circuit of the ventilator was disinfected using the internal circuit sterilizer of the ventilator. Microorganism sampling and detection at 3 cm to the exhalation port of the internal circuit of the ventilator was performed before and after disinfection. The number of colonies was < 5 cfu/cm2 and no pathogenic bacteria could be detected. During the observation period, if the patient was complicated by VAP for anti-infective treatment, the ventilator with internal loop disinfection was replaced after infection control, and was incorporated again into the group for observation. The number of microbial colonies in the internal circuit of the ventilator before and after disinfection, the microbiological test pass rate and the incidences of VAP during the 2 weeks were observed. Results All 39 patients were included in the analysis, with 23 male and 16 female; with age of 65-97 years old, average (78.7±7.6) years old. Before the disinfection, 9 604 strains were detected in the internal circuit of the ventilator, including 8 687 strains of Gram-negative bacilli (90.4%), 902 strains of Gram-positive cocci (9.4%), and 15 strains of fungi (0.2%), which were detected in the lower respiratory tract of the patients. The strain concordance rate was 41%. The qualified rate of microbial detection in the internal circuit of the ventilator was 5.1%; 13 cases (33.3%) of VAP occurred during 2 weeks of mechanical ventilation. After disinfection, 785 strains of pathogens were detected in the internal circuit of the ventilator, and the number of colonies was significantly reduced compared with that before disinfection [cfu/cm2: 0 (0, 20) vs. 150 (15, 500), P < 0.01], of which 688 strains of Gram-negative bacilli (87.7%), 92 strains of Gram-positive cocci (11.7%) and 5 strains of fungi (0.6%) were found; the qualified rate of microbial detection in the internal circuit of ventilator reached 71.8%, which was significantly higher than that before disinfection (P < 0.01); 2 weeks after mechanical ventilation the incidence of VAP decreased slightly during the period [20.5% (8/39) vs. 33.3% (13/39)], but there was no significant difference (P > 0.05). Conclusions The internal circuit of the ventilator can be used to detect the pathogen and the sputum culture of the patients on mechanical ventilation with a high consistency. The disinfection of the pathogen could significantly reduce the air pollution of the ventilator and reduce the occurrence of VAP in the patients.

Objective: To evaluate the application of heparin-binding protein (HBP) in diagnosis of sepsis in adult patients. Methods: An extensive search for the Chinese and English literatures from the PubMed, Embase, the Cochrane Library, Wanfang data, CNKI and VIP up to July 2019 was performed. The articles regarding HBP for the diagnosing of sepsis in adult patients were enrolled. Two researchers independently extracted related literature. The quality of the studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Meta-Disc 1.4 and STATA 12.0 were used for Meta-analysis. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) were calculated. Summary receiver operating characteristic (SROC) curves and area under the curve (AUC) were used to evaluate the diagnostic performance of HBP for sepsis. Deek funnel plot was used to detect publication bias. Results: A total of 10 studies with 1 884 patients were included in this Meta-analysis. The quality of the literature was relatively moderate. HBP in plasma were detected by enzyme linked immunosorbent assay (ELISA) in all studies. The studies showed substantial heterogeneity, and random effect model was used for Meta-analysis. The pooled sensitivity, specificity, PLR, NLR, and DOR were 0.80 [95% confidence interval (95%CI) was 0.77-0.83], 0.80 (95%CI was 0.78-0.82), 3.96 (95%CI was 2.45-6.41), 0.28 (95%CI was 0.20-0.39) and 14.63 (95%CI was 6.83-31.30) respectively. The pooled AUC was 0.86 and the Cochran-Q was 0.79. To explore the potential sources of heterogeneity, subgroup analyses were performed based on the severity of the disease, diagnostic criteria and region. However, the results indicated that no methodological covariates affected the diagnostic accuracy of HBP, indicating that there was still unexplained heterogeneity. In addition, the sensitivity analysis by removing individual studies were performed. No outlier study was identified and the results were relatively stable and reliable. Deek funnel plot showed little publication bias. Conclusions There is preferable value of HBP for diagnosis of sepsis in adult patients. However, it needs to be further confirmed by large multicenter studies.

OBJECTIVE: To evaluate the application of heparin-binding protein (HBP) in diagnosis of sepsis in adult patients. METHODS: An extensive search for the Chinese and English literatures from the PubMed, Embase, the Cochrane Library, Wanfang data, CNKI and VIP up to July 2019 was performed. The articles regarding HBP for the diagnosing of sepsis in adult patients were enrolled. Two researchers independently extracted related literature. The quality of the studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Meta-Disc 1.4 and STATA 12.0 were used for Meta-analysis. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) were calculated. Summary receiver operating characteristic (SROC) curves and area under the curve (AUC) were used to evaluate the diagnostic performance of HBP for sepsis. Deek funnel plot was used to detect publication bias. RESULTS: A total of 10 studies with 1 884 patients were included in this Meta-analysis. The quality of the literature was relatively moderate. HBP in plasma were detected by enzyme linked immunosorbent assay (ELISA) in all studies. The studies showed substantial heterogeneity, and random effect model was used for Meta-analysis. The pooled sensitivity, specificity, PLR, NLR, and DOR were 0.80 [95% confidence interval (95%CI) was 0.77-0.83], 0.80 (95%CI was 0.78-0.82), 3.96 (95%CI was 2.45-6.41), 0.28 (95%CI was 0.20-0.39) and 14.63 (95%CI was 6.83-31.30) respectively. The pooled AUC was 0.86 and the Cochran-Q was 0.79. To explore the potential sources of heterogeneity, subgroup analyses were performed based on the severity of the disease, diagnostic criteria and region. However, the results indicated that no methodological covariates affected the diagnostic accuracy of HBP, indicating that there was still unexplained heterogeneity. In addition, the sensitivity analysis by removing individual studies were performed. No outlier study was identified and the results were relatively stable and reliable. Deek funnel plot showed little publication bias. CONCLUSIONS There is preferable value of HBP for diagnosis of sepsis in adult patients. However, it needs to be further confirmed by large multicenter studies.
Adult ; Antimicrobial Cationic Peptides/metabolism* ; Blood Proteins/metabolism* ; Humans ; Sensitivity and Specificity ; Sepsis/metabolism*