ObjectiveTo elucidate the efficacy connotation of Shudi Qiangjin pills （SQP） against liver and kidney deficiency in steroid-induced osteonecrosis of femoral head （SONFH） from the perspective of the "disease-syndrome-formula" association and to clarify the underlying mechanisms based on in vivo and in vitro experiment validation. MethodsThe chemical components and the corresponding putative targets of SQP were collected from the Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine （TCMIP） v2.0， the Encyclopedia of Traditional Chinese Medicine （ETCM） v2.0， and HERB databases. The SONFH-related genes were identified based on the differential expression profiles of peripheral blood of patients with SONFH compared to the healthy volunteers， and the disease phenotype-related targets were collected from the TCMIP v2.0 database. Then， the interaction network of "SONFH-related genes and candidate targets of SQP" was constructed based on "gene-gene interaction information"， and the major network targets were screened by calculating the topological characteristic values of the network followed by the functional mining according to the Kyoto Encyclopedia of Genes and Genomes （KEGG） database and the SoFDA database. After that， the SONFH rat model was prepared by lipopolysaccharide combined with methylprednisolone injection， and 2.5， 5， 7.5 g·kg^-1 SQP （once per day， equivalent to 1， 2， and 3 times the clinical equivalent dose， respectively） or 7.3×10^-3 g·kg^-1 of alendronate sodium （ALS， once per week， equivalent to the clinical equivalent dose） was given for 8 weeks. The effect characteristics of SQP and ALS in the treatment of SONFH were evaluated by micro-computed tomography scanning， hematoxylin and eosin staining， alkaline phosphatase （ALP） staining， immunohistochemical staining， enzyme-linked immunosorbent assay， and terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling（TUNEL）staining， and a comparative efficacy analysis was conducted with ALS. In addition， SONFH cell models were prepared by dexamethasone stimulation of osteoblasts， and the intervention was carried out with the medicated serum of SQP at the aforementioned three doses. Cell counting kit-8， ALP staining， ALP activity assay， alizarin red staining， and flow cytometry were employed to investigate the regulatory effect of SQP on osteoblasts. The expression levels of osteogenesis-related proteins and key factors of the target signaling axis were detected by quantitative real-time polymerase chain reaction and Western blot. ResultsThe network analysis results demonstrated that the candidate targets of SQP primarily exerted their therapeutic effects through key signaling pathways， including phosphoinositide 3-kinase（PI3K）/protein kinase B（Akt）， lipid metabolism and atherosclerosis， prolactin， chemokines， and neurotrophic factors pathways. These pathways were significantly involved in critical biological processes such as muscle and bone metabolism and the regulation of the "neuro-endocrine-immune" network， thereby addressing both modern medical symptoms （e.g.， delayed skeletal maturation and recurrent fractures） and traditional Chinese medicine （TCM） symptoms （e.g.， fatigue， aversion to cold， cold limbs， and pain in the limbs and joints in patients with SONFH characterized by liver and kidney deficiency syndrome. Among these pathways， the PI3K/Akt signaling pathway exhibited the highest degree of enrichment. The in vivo experimental results demonstrated that starting from the 4^th week after modeling， the modeling group exhibited a significant reduction in body weight compared to the control group （P<0.05）. After six weeks of treatment， all dosage groups of SQP showed significantly higher body weights compared to the model group （P<0.01）. Compared with the normal group， the model group exhibited significant decreases in bone mineral density （BMD）， bone volume fraction （BV/TV）， trabecular number （Tb.N）， osteocalcin （OCN）， alkaline phosphatase （ALP） levels in femoral head tissue， and serum bone-specific alkaline phosphatase （BALP） （P<0.01）， along with significant increases in trabecular separation （Tb.Sp）， empty lacunae rate in tissue， and apoptosis rate （P<0.01）. In comparison to the model group， the SQP intervention groups showed significant improvements in BMD， BV/TV and Tb.N （P<0.01）， significant reductions in Tb.Sp， empty lacunae rate and apoptosis rate （P<0.05）， and significant increases in protein levels of OCN and ALP as well as BALP content （P<0.05）. The in vitro experimental results revealed that all dosage groups of SQP medicated serum showed no toxic effects on osteoblast. Compared with the normal group， the model group displayed significant suppression of osteoblast proliferation activity， ALP activity， and calcified nodule formation rate （P<0.01）， significant decreases in mRNA transcription levels of OCN and Runt-related transcription factor 2 （RUNX2） （P<0.01）， significant reductions in protein content of osteopontin （OPN）， typeⅠ collagen （ColⅠ）A1， B-cell lymphoma-2 （Bcl-2）， PI3K， and phosphorylated （p）-Akt （P<0.01）， and a significant increase in apoptosis rate （P<0.01）. Compared with the model group， the SQP medicated serum intervention groups exhibited significant increases in proliferation activity， ALP activity， calcified nodule formation rate， mRNA transcription levels of OCN and RUNX2， and protein content of OPN， ColⅠA1， Bcl-2， PI3K， and p-Akt （P<0.05）， along with a significant decrease in apoptosis rate （P<0.01）. ConclusionSQP can effectively reduce the disease severity of SONFH with liver and kidney deficiency syndrome and improve bone microstructure， with the therapeutic effects exhibiting a dose-dependent manner. The mechanism may be related to its regulation of key processes such as muscle and bone metabolism and the correction of imbalances in the "neuro-endocrine-immune" network， thereby promoting osteoblast differentiation and inhibiting osteoblast apoptosis. The PI3K/Akt signaling axis is likely one of the key pathways through which this formula exerts its effects.

Current formulation of objective performance criteria （OPC） in traditional Chinese medicine （TCM） faces methodological challenges， including poor reporting quality， insufficient standardization of methods， limited comparability of study populations， and inadequate consideration of the genetic and environment particularities of ethnic minority populations. In response to these issues， this paper proposes optimization strategies for setting OPC in TCM， with particular attention to ethnic minority medicine. These include improving methodological techniques and statistical descriptions， ensuring transparency in meta-analyses and data sources； standardizing the estimation of point estimates and confidence intervals， and incorporating multidisciplinary expert consensus for value determination； introducing local real-world data from the same period， especially cohort study evidence， to compensate for the lack of high-quality randomized controlled trial data. Through process transparency and dynamic updating mechanisms， the credibility of OPC method can be enhanced， thereby providing methodological support for strengthening evidence-based research capacity in this field.

Objective: The effects and molecular mechanisms of micheliolide on cytokine expression in myeloproliferative neoplasm cell lines were explored based on the signal transducer and activator of transcription 3 (STAT3)/nuclear factor-kappa B (NF-κB) signaling pathways. Methods: The UKE-1 and SET-2 cell lines were investigated, and micheliolide concentrations were screened using the CCK-8 assay. The UKE-1 and SET-2 cells were divided into the control and micheliolide-treated groups at concentrations of 2.5, 5.0, and 10.0 μmol/L. Each group received 1 mL of micheliolide solution at final concentrations of 2.5, 5.0, and 10.0 μmol/L, respectively, whereas the control group only received an equal volume of culture medium. The inhibition rates of interleukin-1β(IL-1β), tumor necrosis factor-α (TNF-α), and chemokine ligand 2 (CCL2) mRNA expression in cells from each group were detected using real-time fluorescent PCR (RT-PCR). Western blotting was used to measure STAT3 and phosphorylated STAT3 (p-STAT3) protein expression levels in cells from each group. Reversal experiments with reduced glutathione and dithiothreitol were performed using UKE-1 cells, which were divided into the control group, micheliolide, micheliolide + glutathione, micheliolide + dithiothreitol, and glutathione + dithiothreitol groups. Western blotting was used to detect the STAT3 and p-STAT3 protein expression levels in the cells of each group. UKE-1 cells were stimulated with TNF-α (5 μg/L) to replicate a pathological model of excessive cytokine secretion. Subsequently, UKE-1 cells were divided into the control, model, and three micheliolide-treated groups at concentrations of 2.5, 5.0, and 10.0 μmol/L. RT-PCR was used to measure the indicators above. An enzyme-linked immunosorbent assay (ELISA) was used to detect the CCL2 content in the cell culture media of each group. Western blotting was performed to assess the protein expression levels of STAT3, p-STAT3, and proteins related to the NF-κB signaling pathway. Results: Compared with the control group, the proliferation inhibition rates of UKE-1 cells at 24, 48, and 72 h increased in the micheliolide-treated groups at concentrations of 2.5, 5.0, 10.0, and 20.0 μmol/L. Similarly, the proliferation inhibition rates of SET-2 at 48 and 72 h increased in the micheliolide-treated groups at concentrations of 5.0, 10.0, and 20.0 μmol/L (P<0.05). Concentrations of 2.5, 5.0, and 10.0 μmol/L were selected for further studies to exclude the potential influence of high micheliolide concentrations on subsequent result owing to reduced cell numbers. Compared with the control group, the inhibition rates of TNF-α mRNA expression in UKE-1 and SET-2 cells increased in the micheliolide-treated groups at concentrations of 2.5, 5.0, and 10.0 μmol/L. Similarly, the inhibition rates of IL-1β mRNA expression in UKE-1 and SET-2 cells also increased in the micheliolide-treated groups at concentrations of 5.0 and 10.0 μmol/L. Additionally, the inhibition rate of CCL2 mRNA expression in UKE-1 and SET-2 cells increased in the micheliolide-treated group at a concentration of 10 μmol/L (P<0.05). Compared with the model group, the inhibition rates of TNF-α, IL-1β, and CCL2 mRNA expression in UKE-1 cells increased in the micheliolide-treated groups at concentrations of 2.5, 5.0, and 10.0 μmol/L after stimulation with TNF-α (P<0.05). ELISA showed that compared with the control group, the CCL2 content in UKE-1 cells increased in the model group. Compared with the model group, the CCL2 content in UKE-1 cells decreased in the micheliolide-treated groups at concentrations of 2.5, 5.0, and 10.0 μmol/L (P<0.05). Western blotting showed that compared with the control group, the p-STAT3 protein expression levels in UKE-1 and SET-2 cells were downregulated in the micheliolide-treated groups at concentrations of 5.0 and 10.0 μmol/L, and the protein expression level of STAT3 in SET-2 was also downregulated (P<0.05). Compared with the control group, the p-STAT3 expression level in UKE-1 cells decreased in the micheliolide group in the reductive glutathione and dithiothreitol reversal experiments. Compared with the micheliolide group, the p-STAT3 protein expression levels in UKE-1 cells increased in the micheliolide + dithiothreitol and micheliolide + glutathione groups (P<0.05). Compared with the control group, the model group showed increased p-STAT3, p-IκKα/β, p-IκBα, and p-NF-κB p65 protein expression and decreased IκBα protein expression after stimulation with TNF-α. Compared with the model group, the micheliolide-treated groups showed decreased p-IκKα/β, p-IκBα, p-STAT3, and p-NF-κB p65 protein expression at concentrations of 2.5, 5.0, and 10.0 μmol/L, whereas the micheliolide-treated groups showed increased IκBα protein expression at concentrations of 5.0 and 10.0 μmol/L (P<0.05). Conclusion Micheliolide potently suppresses IL-1β, TNF-α, and CCL2 mRNA expression in UKE-1 and SET-2 cells, as well as CCL2 secretion by UKE-1 cells, which may be associated with STAT3 phosphorylation suppression and NF-κB signaling pathway activation.

ObjectiveTo investigate the influencing factors for recompensation in patients with decompensated hepatitis C cirrhosis， and to establish a predictive model. MethodsA total of 217 patients who were diagnosed with decompensated hepatitis C cirrhosis and were admitted to The Third People’s Hospital of Kunming l from January， 2019 to December， 2022 were enrolled， among whom 63 patients who were readmitted within at least 1 year and had no portal hypertension-related complications were enrolled as recompensation group， and 154 patients without recompensation were enrolled as control group. Related clinical data were collected， and univariate and multivariate analyses were performed for the factors that may affect the occurrence of recompensation. The independent-samples t test was used for comparison of normally distributed measurement data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed measurement data between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. A binary Logistic regression analysis was used to investigate the influencing factors for recompensation in patients with decompensated hepatitis C cirrhosis， and the receiver operating characteristic （ROC） curve was used to assess the predictive performance of the model. ResultsAmong the 217 patients with decompensated hepatitis C cirrhosis， 63 （29.03%） had recompensation. There were significant differences between the recompensation group and the control group in HIV history （χ²=4.566， P=0.034）， history of partial splenic embolism （χ²=6.687， P=0.014）， Child-Pugh classification （χ²=11.978， P=0.003）， grade of ascites （χ²=14.229， P<0.001）， albumin （t=4.063， P<0.001）， prealbumin （Z=-3.077， P=0.002）， high-density lipoprotein （t=2.854， P=0.011）， high-sensitivity C-reactive protein （Z=-2.447， P=0.014）， prothrombin time （Z=-2.441， P=0.015）， carcinoembryonic antigen （Z=-2.113， P=0.035）， alpha-fetoprotein （AFP） （Z=-2.063， P=0.039）， CA125 （Z=-2.270， P=0.023）， TT3 （Z=-3.304， P<0.001）， TT4 （Z=-2.221， P=0.026）， CD45⁺ （Z=-2.278， P=0.023）， interleukin-5 （Z=-2.845， P=0.004）， tumor necrosis factor-α （Z=-2.176， P=0.030）， and portal vein width （Z=-5.283， P=0.005）. The multivariate analysis showed that history of partial splenic embolism （odds ratio ［OR］=3.064， P=0.049）， HIV history （OR=0.195， P=0.027）， a small amount of ascites （OR=3.390， P=0.017）， AFP （OR=1.003， P=0.004）， and portal vein width （OR=0.600， P<0.001） were independent influencing factors for the occurrence of recompensation in patients with decompensated hepatitis C cirrhosis. The ROC curve analysis showed that HIV history， grade of ascites， history of partial splenic embolism， AFP， portal vein width， and the combined predictive model of these indices had an area under the ROC curve of 0.556， 0.641， 0.560， 0.589， 0.745， and 0.817， respectively. ConclusionFor patients with decompensated hepatitis C cirrhosis， those with a history of partial splenic embolism， a small amount of ascites， and an increase in AFP level are more likely to experience recompensation， while those with a history of HIV and an increase in portal vein width are less likely to experience recompensation.

With the rapid development of artificial intelligence, computational pathology has been seamlessly integrated into the entire clinical workflow, which encompasses diagnosis, treatment, prognosis, and biomarker discovery. This integration has significantly enhanced clinical accuracy and efficiency while reducing the workload for clinicians. Traditionally, research in this field has depended on the collection and labeling of large datasets for specific tasks, followed by the development of task-specific computational pathology models. However, this approach is labor intensive and does not scale efficiently for open-set identification or rare diseases. Given the diversity of clinical tasks, training individual models from scratch to address the whole spectrum of clinical tasks in the pathology workflow is impractical, which highlights the urgent need to transition from task-specific models to foundation models (FMs). In recent years, pathological FMs have proliferated. These FMs can be classified into three categories, namely, pathology image FMs, pathology image-text FMs, and pathology image-gene FMs, each of which results in distinct functionalities and application scenarios. This review provides an overview of the latest research advancements in pathological FMs, with a particular emphasis on their applications in oncology. The key challenges and opportunities presented by pathological FMs in precision oncology are also explored.
Humans ; Precision Medicine/methods* ; Medical Oncology/methods* ; Artificial Intelligence ; Neoplasms/pathology* ; Computational Biology/methods*

Food-derived bioactive peptides (FBPs), particularly those with ten or fewer amino acid residues and a molecular weight below 1300 Da, have gained increasing attention for their safe, diverse structures and specific biological activities. The development of FBP-based functional foods and potential medications depends on understanding their structure‒activity relationships (SARs), stability, and bioavailability properties. In this review, we provide an in-depth overview of the roles of FBPs in treating various diseases, including Alzheimer's disease, hypertension, type 2 diabetes mellitus, liver diseases, and inflammatory bowel diseases, based on the literature from July 2017 to Mar. 2023. Subsequently, attention is directed toward elucidating the associations between the bioactivities and structural characteristics (e.g., molecular weight and the presence of specific amino acids within sequences and compositions) of FBPs. We also discuss in silico approaches for FBP screening and their limitations. Finally, we summarize recent advancements in formulation techniques to improve the bioavailability of FBPs in the food industry, thereby contributing to healthcare applications.
Humans ; Peptides/therapeutic use* ; Structure-Activity Relationship ; Functional Food ; Diabetes Mellitus, Type 2/drug therapy* ; Biological Availability ; Alzheimer Disease/drug therapy* ; Inflammatory Bowel Diseases/drug therapy* ; Hypertension/drug therapy* ; Liver Diseases/drug therapy* ; Bioactive Peptides, Dietary

As a branch of stomatology, the professional education of orthodontics has always had its own distinct characteristics and principles. In 2023, the World Federation of Orthodontists (WFO) published the second edition of its guidelines for postgraduate education in orthodontics in its official journal. This document outlines detailed requirements and recommendations regarding various aspects of orthodontic postgraduate education, including training objectives, curriculum design, and faculty qualifications. This paper aims to interpret the curriculum construction section of the WFO guidelines and to explore the key differences between current orthodontic education in China and that in Western countries. Through this comparative analysis, it seeks to provide insights for improving undergraduate orthodontic teaching, postgraduate and continuing orthodontic education, and to inspire thoughts on future directions for innovation in orthodontic training in China.

Objective:To analyze the influencing factors of severe dengue fever patients in the early stage, construct a early prediction model for severe dengue fever, and evaluate it.Methods:A retrospective analysis was conducted to collect early clinical data of dengue fever patients admitted to the People's Hospital of Mengla County and the Third People's Hospital of Kunming in Yunnan Province from July to December 2023. The multifactor logistic regression was used to analyze the factors affecting the severe dengue fever patients, and Nomogram prediction model was used for visualization. Receiver operating characteristic (ROC) curve and calibration curve analysis were used to evaluate the model.Results:A total of 534 dengue fever patients were included, including 291 males and 243 females, aged (39.95 ± 15.69) years. Among them, there were 59 cases (11.05%) of severe dengue fever. The results of multifactor logistic regression analysis showed that age ( OR = 1.05, 95% CI: 1.02 - 1.08, P < 0.001), cardiovascular disease ( OR = 5.28, 95% CI: 2.08 - 13.40, P < 0.001), serous effusion ( OR = 4.34, 95% CI: 1.63 - 11.57, P = 0.003), aspartate aminotransferase ( OR = 1.03, 95% CI: 1.02 - 1.04, P < 0.001), lactate dehydrogenase ( OR = 1.00, 95% CI: 1.00 - 1.01, P = 0.001), and fibrinogen ( OR = 0.46, 95% CI: 0.28 - 0.76, P = 0.003) were independent influencing factors in the early stage of severe dengue fever. The area under the ROC curve of the Nomogram prediction model constructed from the above six variables was 0.96 (0.93 - 0.98). The calibration curve analysis results showed that the mean absolute error between the predicted values of the Nomogram prediction model and the actual observed values was 0.014. Conclusions:Age, cardiovascular disease, serous effusion, aspartate aminotransferase, lactate dehydrogenase, and fibrinogen are independent influencing factors in the early stage of severe dengue fever. The Nomogram prediction model established based on these variables has good predictive ability for severe dengue fever.

Objective:To investigate the iodine nutrition status of pregnant women in Zhejiang Province, explore the impact of salt industry system reform on iodine nutrition level of pregnant women, and provide scientific basis for prevention and treatment of iodine deficiency disorders.Methods:From 2016 to 2021, a multi-stage stratified sampling method was used to select 100 pregnant women from 90 counties (cities, districts) in Zhejiang Province each year as survey subjects. Salt samples were collected from pregnant women's families, and one random urine sample was taken for salt iodine and urinary iodine level testing, respectively.Results:A total of 56 581 samples of household edible salt were collected from pregnant women, with a median salt iodine level of 23.20 mg/kg. Among them, 7 961 were non iodized salt, 45 803 were qualified iodized salt, and 2 817 were unqualified iodized salt. The iodized salt coverage rate was 85.93% (48 620/56 581), and the qualified iodized salt consumption rate was 80.95% (45 803/56 581). The proportion of non iodized salt increased from 10.05% (897/8 928) in 2016 to 15.09% (1 461/9 679) in 2021 (χ 2trend = 95.16, P < 0.001). A total of 56 581 urine samples were collected from pregnant women, with a median urinary iodine level of 130.50 μg/L. Among them, the proportions of urinary iodine levels < 150, 150 - 249, 250 - 499, and ≥500 μg/L were 58.32% (32 996/56 581), 27.24% (15 410/56 581), 12.24% (6 926/56 581), and 2.21% (1 249/56 581), respectively. The median urinary iodine level of pregnant women in inland areas was significantly higher than that in coastal areas ( Z = 19.15, P < 0.001). Furthermore, urinary iodine levels exhibited a non-linear decline as age increased (χ 2regression = 12.65, P < 0.001; χ 2partial = 22.65, P < 0.001) and as pregnancy progressed (χ 2regression = 37.28, P < 0.001; χ 2partial = 18.89, P < 0.001). Conclusions:The overall iodine nutrition status of pregnant women in Zhejiang Province is in a state of iodine deficiency (< 150 μg/L), and there is a greater risk in coastal areas compared to inland areas. However, in the context of the reform of the salt industry system, it is still necessary to strengthen the quality supervision of iodized salt, provide scientific iodine supplementation education, promote specialized iodized salt for pregnant women, and strengthen interventions for prevention and control of iodine deficiency disorders.

OBJECTIVE: To explore the effects of different endotracheal tube cuff pressure management modes on cuff sealing and the pressure exerted on the tracheal wall. METHODS: A prospective self-controlled study was conducted. Eleven patients undergoing endotracheal intubation and mechanical ventilation with an automatic airway management system (AGs) admitted to the Second Medical Centre of the Chinese People's Liberation Army General Hospital from October 1, 2020, to April 1, 2022, were enrolled as the study subjects. Within 24 hours after the establishment of artificial airway and mechanical ventilation, four cuff pressure management modes were randomly applied to each patient for 24 hours in sequence: automatic cuff pressure management mode [modeI: the safe range of cuff pressure was set at 20-35 cmH₂O (1 cmH₂O≈0.098 kPa), and the CO₂ pressure above the endotracheal tube cuff was automatically detected by AGs every 5 minutes to determine the cuff sealing status, and the cuff pressure was automatically adjusted], constant cuff pressure (25 cmH₂O) management mode (mode II: the cuff pressure was monitored by AGs through a pressure sensor, and the cuff pressure was maintained at 25 cmH₂O via a pressure pump), constant cuff pressure (30 cmH₂O) management mode (mode III: the cuff pressure was monitored by AGs through a pressure sensor, and the cuff pressure was maintained at 30 cmH₂O via a pressure pump), and manual cuff pressure management mode (mode IV: the cuff pressure was manually measured by nurses every 6-8 hours using a cuff pressure gauge to keep the cuff pressure at 25-30 cmH₂O after inflation). The CO₂ pressure above the endotracheal tube cuff (at 60-minute intervals) and the cuff pressure changes (at 50-ms intervals) were recorded to compare the differences in number of cuff leaks [no leak was defined as CO₂ pressure = 0, small leak as 0 < CO₂ pressure < 2 mmHg (1 mmHg≈0.133 kPa), and large leak as CO₂ pressure ≥ 2 mmHg] and cuff pressure among modesI-IV. RESULTS: A total of 24 CO₂ pressure measurements were taken per patient across the four modes, resulting in a total of 264 detections for each mode. Regarding the cuff leak, the total number of leak and large leak in modeIwas significantly lower than that in modes II-IV [total leak: 30 cases (11.36%) vs. 81 cases (30.68%), 70 cases (26.52%), 103 cases (39.02%); large leak: 15 cases (5.68%) vs. 50 cases (18.94%), 48 cases (18.18%), 66 cases (25.00%), all P < 0.05]. There was no significant difference in the number of cuff leak between modes II and III, and mode IV had the most severe cuff leak. In terms of cuff pressure, since mode IV required blocking the cuff tube from the AGs tube and the AGs cuff pressure management module did not actually work, real-time monitoring of cuff pressure was not possible. Therefore, cuff pressure changes were only analyzed in modes I-III. Each of the 11 patients underwent 24-hour cuff pressure monitoring under modes I-III, with 19 008 000 monitoring times for each mode. The cuff pressure in mode I was between that in modes II and III [cmH₂O: 27.09 (26.10, 28.14) vs. 26.60 (25.92, 27.47), 31.01 (30.33, 31.88), both P < 0.01]. Moreover, the number of extreme values of cuff pressure > 50 cmH₂O in mode I was significantly lower than that in modes II and III [19 900 cases (0.105%) vs. 22 297 cases (0.117%), 27 618 cases (0.145%), both P < 0.05]. CONCLUSION Dynamically monitoring the CO₂ pressure above the cuff to guide the adjustment of endotracheal tube cuff pressure can achieve better cuff sealing with a relatively lower cuff pressure load.
Humans ; Intubation, Intratracheal/instrumentation* ; Pressure ; Prospective Studies ; Respiration, Artificial ; Male ; Airway Management/methods* ; Female ; Middle Aged