Nutritional support therapy is one of the extremely important treatment methods for patients in the intensive care unit. Timely and effective nutritional support regimens can improve patients' immune function, reduce complications, and optimize clinical outcomes. Energy expenditure is influenced by multiple factors, including patients' baseline characteristics (such as physical condition, gender, age) and dynamic changes in indicators (such as body temperature, nutritional support regimens, and therapeutic interventions). The currently recognized "gold standard" for accurately assessing energy metabolism in clinical practice is the indirect calorimetry system, also known as the metabolic cart. This device monitors carbon dioxide production and oxygen consumption in real time and uses specific algorithms to estimate the metabolic proportions of the three major nutrients (carbohydrates, fats, and proteins) in energy expenditure. An appropriate nutrient ratio helps maintain the balance between supply and demand in the body's nutritional metabolism. In the management of critically ill patients, the application of the metabolic cart enables personalized nutritional therapy, avoiding over- or under-supply of energy and optimizing the use of medical resources. Furthermore, with real-time, quantitative data support from the energy metabolism monitoring system, clinicians can develop more precise nutritional intervention strategies, thereby improving patient prognosis. This article provides a systematic review of the technical features of the metabolic cart and its application value in various critical care scenarios, aiming to offer a reference for indirect calorimetry in clinical practice.
Humans ; Critical Illness/therapy* ; Nutritional Support ; Energy Metabolism ; Calorimetry, Indirect

OBJECTIVE To explore the mechanisms of the flavonoids from new "Zhe Eight Flavors" Quzhou Fructus Aurantii(PTFC) against hepatocellular carcinoma based on the prediction of network pharmacology and experimental verification. METHODS From TCMSP, TCMID, ETCM, BATMAN-TCM and SwissTargetPrediction databases, the potential target proteins of PTFC, including naringin, narirutin and neohesperidin were collected. Based on the GeneCards, CTD, Disgenet, and OMIM databases, a set of target proteins for hepatocellular carcinoma was constructed. Taking the intersection of potential target proteins of PTFC and target proteins of hepatocellular carcinoma, key target proteins were obtained and a protein-protein interaction network was established. Besides, GO function and KEGG pathway enrichment analysis on the core target proteins was performed and a Compounds-Targets-Pathways-Disease network was constructed. Through proliferation, cloning, wound healing, and migration experiments, the effects of PTFC on the viability of HepG2 liver cancer cells were analyzed. Using fluorescence probe staining the impacts of PTFC on the mitochondrial membrane potential and apoptosis of HepG2 were observed. Finally, the validation of the regulatory effect of PTFC on the key predicted target PRKCA were carried out through RT-qPCR. RESULTS Based on network pharmacology, a total of 217 potential target proteins for PTFC were screened, with 59 intersecting target proteins related to diseases, including ALB, ESR1, PRKCA, and others. GO functional and KEGG pathway enrichment analysis revealed that the PTFC target proteins were involved in 193 biological processes and 13 cancer-related signaling pathways. Experimental results demonstrated that PTFC could impact the proliferation, cloning, wound healing, and migration abilities of liver cancer cells, leading to a decrease in mitochondrial membrane potential and promoting cell apoptosis. The results of RT-qPCR confirmed a significant downregulation of PRKCA expression by PTFC, validating the predictions made by network pharmacology analysis. CONCLUSION This study has revealed the potential molecular mechanism of PTFC treating hepatocellular carcinoma via the PRKCA target, laying the foundation for clinical application of PTFC.

Objective:To evaluate the feasibility and clinical effectiveness of placing a nasointestinal ileus tube (NTI) during extensive adhesive bowel obstruction (ABO) surgery.Methods:A retrospective analysis was performed for the clinical and follow-up data of 60 patients with extensive ABO admitted to the Department of General Surgery of Daxing District Hospital of Capital Medical University from April 2019 to April 2021, of which 30 patients underwent intraoperative NIT intraintestinal alignment (observation group) and 30 patients who did not undergo NIT intraintestinal alignment (control group) during the same period. There were 12 males and 18 females in the observation group. There were 16 males and 14 females in the control group. The operation time, gastrointestinal function recovery time, discharge time, total effective rate and postoperative complication rate were compared between the two groups, and the quantitative data of the recurrence rate of intestinal obstruction at 24 months after surgery were expressed as mean ± standard deviation ( ± s), and the t-test was used for comparison between groups. Numerological data were presented as cases (percentage) [ n (%)], and chi-square tests were used for comparison between groups. Results:All patients were successfully completed the surgery and discharged from the hospital. There was no statistically significant difference in total effective rate between the control group and the observation group( χ2=3.16, P=0.237). The surgical time in the observation group was slightly longer than that in the control group [(110.6±4.6) min vs (94.3±2.5) min, t=17.27, P=0.001]. The recovery time of gastrointestinal function and hospitalization time in the observation group were shorter than those in the control group[(8.13±1.00) d vs (8.70±0.70) d, t=2.53, P=0.014; (12.83±1.57) d vs (13.67±1.03) d, t=0.03, P=0.018]. The incidence of postoperative complications was lower than that in the control group (10% vs 30%, P=0.028), and the difference was statistically significant. Conclusion:Intraoperative application of NIT is safe and effective, and can significantly reduce the recurrence rate of postoperative intestinal obstruction.

Objective To investigate the best evidence application of exercise prescription in patients with chronic heart failure in clinical practice and evaluate its effectiveness.Methods The best evidence of exercise prescription for patients with chronic heart failure was summarized,and the evidence-based practice plan was developed,and it was implemented in the cardiology department of a tertiary hospital in Zhejiang Province from August to October,2022.Nurses'exercise prescription knowledge-attitude-practice level,implementation rate of review indicators,the length of hospital stay,exercise endurance,daily living ability and grip strength of both groups before and after the intervention were compared.Results After the application of the best evidence,the score of knowledge dimension was(9.34±0.98)points;the score of attitude dimension was(63.29±1.37)points;the score of practice dimension was(25.49±1.51)points,which were statistically significant compared with the scores before the application of evidence(P<0.05).After the application of the best evidence,the implementation rate of 16 review indicators was higher than that before the application of evidence(P<0.001).The length of hospital stay in the evidence application group was shorter than that in the baseline examination group(Z=-2.610,P<0.001).After intervention,the exercise endurance,daily living ability and grip strength of patients in the evidence application group were improved compared with the baseline review group,and the difference was statistically significant(P<0.05).Conclusion After the application of the best evidence of exercise prescription in patients with chronic heart failure,it can improve the level of knowledge,attitude and practice of nurses on exercise prescription,standardize the compliance of nurses'exercise prescription,reduce the number of days in the hospital,and improve patients'exercise endurance,daily living ability and grip strength.

Humans ; Stomach Neoplasms/pathology* ; Neoadjuvant Therapy ; Chemotherapy, Adjuvant ; Gastrectomy ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Neoplasm Staging

OBJECTIVE: To investigate the effect of vitamin D binding protein (DBP) gene polymorphism on susceptibility and prognosis of severe acute pancreatitis (SAP). METHODS: A prospective study was conducted. Eighty-three patients with SAP who were admitted to the department of general surgery of Tianjin Fifth Central Hospital from March 2018 to March 2021 were selected as the research objects, and 83 healthy people in the same period were selected as controls. Peripheral blood RNA was extracted and reverse transcribed into cDNA, and the genotype and allele frequency of DBP gene rs7041 locus were detected by fluorescence quantitative analyzer. Hardy-Weinberg equilibrium was used to test the genetic balance. On the day of admission, serum C-reactive protein (CRP) level was detected by scattering immunoturbidimetry, serum procalcitonin (PCT) level was detected by electrochemiluminescence, serum DBP level was detected by enzyme-linked immunosorbent assay (ELISA), and neutrophil to lymphocyte ratio (NLR) was calculated automatically by the instrument. The length of intensive care unit (ICU) stay, the length of hospital stay and prognosis during hospitalization of patients were statistically analyzed. Multivariate Logistic regression analysis was used to screen the influencing factors of SAP occurrence. RESULTS: The results of Hardy-Weinberg equilibrium test showed that the distribution of gene polymorphisms in the two groups of subjects conformed to the law of genetic equilibrium. The frequencies of TT genotype and T allele of DBP gene rs7041 locus in the patients of SAP group were significantly higher than those in the healthy control group [TT genotype: 34.94% (29/83) vs. 9.64% (8/83), T allele: 55.42% (92/166) vs. 38.55% (64/166), both P < 0.01], and the frequency of GT genotype was significantly lower than that in the healthy control group [40.96% (34/83) vs. 57.83% (48/83), P < 0.05]. There was no significant difference in the frequency of GG genotype between the healthy control group and SAP group [32.53% (27/83) vs. 24.10% (20/83), P > 0.05]. Further multivariate Logistic regression analysis showed that TT genotype [odds ratio (OR) = 2.831, 95% confidence interval (95%CI) was 1.582-5.067, P < 0.001] and T allele (OR = 2.533, 95%CI was 1.435-4.472, P < 0.001) of DBP gene rs7041 locus were independent risk factors for SAP in healthy people, while GT genotype was a protective factor for SAP (OR = 0.353, 95%CI was 0.143-0.868, P = 0.041). The levels of CRP, PCT, NLR and DBP in patients with TT genotype of DBP gene rs7041 locus were significantly higher than those in patients with GG/GT genotype on the day of admission in SAP group [CRP (mg/L): 43.25±13.25 vs. 31.86±12.83, PCT (μg/L): 1.53±0.24 vs. 1.21±0.20, NLR: 3.15±0.53 vs. 2.71±0.48, DBP (μg/L): 87.78±19.64 vs. 70.58±18.67, all P < 0.01]. The length of ICU stay in patients with TT genotype of DBP gene rs7041 locus in SAP group was significantly longer than that in patients with GG/GT genotype (days: 11.35±1.58 vs. 9.71±1.35, P < 0.01). The length of hospital stay of patients with TT genotype was longer than that of patients with GG/GT genotype (days: 23.41±3.64 vs. 23.17±3.57), and the in-hospital mortality was higher than that of patients with GG/GT genotype [34.48% (10/29) vs. 29.63% (16/54)], but the difference was not statistically significant (both P > 0.05). CONCLUSIONS The risk of SAP was significantly increased in patients with TT genotype of rs7041 locus of DBP gene, and the mechanism may be related to the increase of DBP expression. And carrying the TT genotype will prolong the ICU hospitalization time of SAP patients, but the effect on prognosis is not obvious.
Humans ; Polymorphism, Single Nucleotide ; Prospective Studies ; Vitamin D-Binding Protein/genetics* ; Acute Disease ; Pancreatitis/genetics* ; Genotype ; Prognosis

Objective:To analyze the hemodynamic changes of different types of unruptured intracranial aneurysms before and after flow diverter (FD) treatment with computational fluid dynamics (CFD), and lay research foundation for precision treatment and prognosis evaluation for unruptured intracranial aneurysms.Methods:Four patients with different types of unruptured intracranial aneurysms, admitted to Department of Neurosurgery, First Affiliated Hospital of Air Force Medical University from January 2022 to March 2022, were chosen. Digital subtraction angiography (DSA) data of the patients before and immediately after surgery were collected. Morphological and hemodynamic parameters of the aneurysms were calculated by 3D reconstruction, finite element simulation, and CFD methods: ostium ratio (OsR), neck ratio (NR), area ratio (ArR), volume ratio (VoR), wall shear stress (WSS), normalized wall shell stress (NWSS), blood inflow, relative inflow, aneurysm average velocity, parent artery average velocity, normalized velocity, residual flow volume (RFV), and inflow concentration index (ICI); differences of these indexes before and after treatment were compared.Results:The OsR of 6 aneurysms was 0.225, 0.267, 0.265, 0.389, 1.000, 1.000, respectively; NR was 1.220, 0.274, 1.090, 1.587, 2.809, and 4.019, respectively; ArR was 0.608 and 0.224, 0.623, 3.462, 1.225 and 1.784, respectively; and VoR was 0.386, 0.052, 0.212, 3.462, 0.422 and 1.882, respectively. The parameters of WSS, NWSS, blood inflow, relative inflow, aneurysm average velocity, parent artery average velocity, normalized velocity, RFV, and ICI decreased obviously after FD implantation.Conclusion:On the basis of 3D reconstruction combined with FD/coil virtual implantation, CFD-based hemodynamic analysis can obtain accurate parameters of different types of intracranial aneurysms before and after FD treatment.

Objective:To investigate the value of machine learning model based on MRI in predicting the abundance of tumor infiltrating CD 8+ T cell and prognosis of pancreatic cancer patients. Methods:The clinical data of 156 patients with pathological confirmed pancreatic cancer who underwent pre-operative MRI within 7 days before surgery in the First Affiliated Hospital of Naval Medical University from January 2017 to April 2018 was retrospectively analyzed. According to the international consensus on the predictive model, a total of 116 patients from January to December 2017 were included in the training set, and a total of 40 patients from January to April 2018 were included in the validation set. With the overall survival of patients as the outcome variable, X-Tile software was used to obtain cut-off values of the percentage of CD 8+ T cells, and all patients were divided into CD 8+ T-high and -low groups. The clinical, pathological and radiological features were compared between two groups. 3D slicer software was used to draw the region of interest in each layer of the primary MR T 1- and T 2-weighted imaging, arterial phase, portal venous phase, and delayed phase images for tumor segmentation. Python package was applied to extract the radiomics features of pancreatic tumors after segmentation and the extracted features were reduced and chosen using the least absolute shrinkage and selection operator (Lasso) logistic regression algorithm. Lasso logistic regression formula was applied to calculate the rad-score. The extreme gradient boosting (XGBoost) were used to construct the machine learning predicted model. The models′ performances were determined by area under the ROC curve (AUC), sensitivity, specificity, accuracy, positive predictive value, and negative predictive value. Results:The cut-off value of the CD 8+ T-cell level was 19.09% as determined by the X-tile program. Patients in the high CD 8+ T cell group had a longer median survival than those in the low CD 8+ T cell group (25.51 month vs 22.92 month, P=0.007). The T stage in the training set and tumor size in the validation set significantly differed between the groups (all P value <0.05). A total of 1 409 radiomics features were obtained, and 19-selected features associated with the level of CD 8+ T cell were determined after being reduced by the Lasso logistic regression algorithm. The rad-score was significantly lower in the CD 8- high group (median: -0.43; range: -1.55 to 0.65) than the CD 8- low group (median: 0.22; range: -0.68 to 2.54, P<0.001). The prediction model combined the radiomics features and tumor size. In the training set, the AUC, sensitivity, specificity, accuracy, and positive and negative predictive value were 0.90 (95% CI 0.85-0.95), 75.47%, 90.48%, 0.84, 0.87, and 0.81. In the validation set, the AUC, sensitivity, specificity, accuracy, and positive and negative predictive value were 0.79 (95% CI 0.63-0.96), 90.00%, 80.00%, 0.85, 0.82, and 0.89. The predictive model can accurately distinguish patients with high and low CD 8+ T cells in pancreatic cancer. Conclusions:The radiomics-based machine learning model is valuable in predicting the CD 8+ T cells infiltrating level in pancreatic cancer patients, which could be useful in identifying potential patients who can benefit from immunotherapies.

Objective:To investigate the therapeutic effect of exosomes divided from bone marrow mesenchymal stem cell (BMSC) on pancreatic cancer in vivo through regulation of tumor-associated macrophages (TAM) polarization.Methods:Ten male C57BL/6 mice weighing approximately 20 g, ages 4 weeks, were used for BMSC exosomes extraction and PKH26 labelling. Thirty female SPF BALB/c-nu/nu nude mice weighing approximately (18.56±0.85) g, ages 4-6 weeks, were adopted for pancreatic carcinoma models. The models were randomly divided into 3 groups with 10 in each: control group (injected with PBS through tail vein), portal vein treatment group (injected with exosomes in PBS through portal vein), tail vein treatment group (injected with exosomes in PBS through tail vein). After the models were executive 8 weeks later, the percentage of PKH26 positive-exosomes in pancreas tissue was quantified by flow cytometry technique. The volume of the primary pancreatic tumor, the tumor volume of inhibitory rate, the number of metastatic nodule, and the ascitic fluid were assess. Also, the weight of liver and the tumor weight were evaluated. The expression of M1 and M2 macrophage-activate biomarkers and the content of pancreatic cancer marker B7-H4 tumor carbohydrate antigen 199 in peripheral blood was detected. Moreover, the expression of Survivin and matrix metalloproteinase-9 (MMP-9) in pancreatic cancer tissue cells was also detected.Results:There was no significant difference for the tumor volume of inhibitory rate between portal vein treatment group (72.4±21.6)% and tail vein treatment group (70.1±20.7)% ( t=0.24, P=0.811). Compared with control group, the volume of the primary pancreatic tumor, the weight of liver, the tumor weight, the number and rate of liver metastatic nodule, the ascitic fluid, and the number of other metastatic nodule were totally lower in the 2 treatment groups with significant difference (all P<0.05). Compared with the control group, iNOS and CD68 in portal vein treatment group and tail vein treatment group were increased, while Arginase, CD206, B7-H4, tumor carbohydrate antigen 199, Survivin and matrix metalloprotein-9 were decreased, with statistically significant differences (all P<0.05). Conclusion:Exosomes derived from BMSC can inhibit the polarization of TAM to the M2 phenotype and induce their polarization to the M1 phenotype, thereby suppressing the proliferation, invasion and migration of pancreatic cancer.

Objective:To investigate the effects of rapamycin on the autophagy activation of M2 macrophages and the radiosensitivity in colorectal cancer xenograft.Methods:THP-1 cells were induced into Type-Ⅱ macrophages with PMA and/or IL-4. Rapamycin and Bafilomycin A1 were uesd to activate and suppress autophagy of M2 macrophage, respectively. Colorectal cancer LoVo cells were inoculated on BALB/c-nu/nu nude mice. After the xenograft tumor size approached to 10 mm in diameter, the nude mice were divided into the following groups randomly: M2 macrophage autophagy inactive group and active group, autophagy downregulation of the activated group, and nontreatment control group. The tumors in mice were irradiated with 8 Gy X-rays in two fractions, and the radiosensitivity of colorectal cancer xenograft in each group was analyzed.Results:The expression levels of M2 macrophage markers Arg-1 and CCL-22 were significantly higher than those in M0 macrophage. The tumor weight, volume [(1.93±0.05)g, (2.14±0.06)cm 3] and micro-vessel density (36.37±1.04) in M2 autophagy inactive group were higher than those in control group [(1.35±0.05)g, (1.77±0.02)cm 3, 25.69±1.34] ( t=20.07, 14.56, 10.92, P < 0.05). After activation of M2 autophagy, the tumor weight, volume and micro-vessel density were significantly decreased to (0.89±0.03)g, (1.24±0.01)cm 3, and 13.60±1.52 ( t=44.37, 40.32, 21.43, P < 0.05). After down-regulation of M2 autophagy with bafilomycin A1, the tumor weight, volume and micro-vessel density were increased to (1.02±0.07)g, (1.37±0.02)cm 3, and 21.06±1.41 ( t=4.67, 13.79, 6.23, P < 0.05). Autophagy inaction suppressed the expression of Livin and Survivin in tumor ( t=2.64, 7.90, P < 0.05), and the activation of M2 autophagy further down-regulated the expression of Livin, Survivin ( t=5.43, 9.39, P < 0.05). The expression levels of Livin and Survivin were increased after the treatment with bafilomycin A1 ( t=2.80, 3.17, P<0.05). Conclusions:M2 macrophagy promoted the growth of colorectal cancer xenograft by inducing the formation of micro-vessels in the tumor, which is one of the mechanisms of tumor-associated macrophages participating in the radiotherapy resistance of colorectal cancer. Activation of M2 autophagy by rapamycin inhibited the ability of M2 macrophagy in promoting tumor growth, and induced apoptosis of colorectal cancer cells after radiotherapy by down-regulating the expression of anti-apoptotic genes Livin and Survivin, thus increased the radiosensitivity of colorectal cancer.