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The doping of transition metals can effectively modulate the electronic structures and enhance the photocatalytic activity of MXenes. The electronic and photocatalytic properties, as well as the quantum capacitance of Sc2CO2-Y under biaxial strain, were studied by density functional theory. Sc2CO2-Y is a direct semiconductor and keeps its semiconductor character under strain. Sc2CO2-Y under tensile strain has higher photocatalytic activity than under compressive strain. In particular, Sc2CO2-Y at 2% strain has the slowest recombination rate of electrons and holes because of the largest . Sc2CO2-Y under strain is a potential cathode material. Its large potential keeps the character of cathode materials for Sc2CO2-Y under strain. Sc2CO2-Y under tensile strain has better conductivity, especially under 5% strain, due to having the largest Re (ε0). Sc2CO2-Y under strain can perform the HER, but fails to perform the OER at pH = 0, and tensile strain increases the reduction capacity of Sc2CO2-Y. Under strains from -2% to 2%, Sc2CO2-Y can perform the OER in an alkaline environment. Sc2CO2-Y is a good CO2 photocatalyst in acidic environments; the increase of pH value weakens the N2 reducing capacity of Sc2CO2-Y under strain. Its work function, charge transfer and optical properties are also explored.
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Objective:To analyze genetic factors and phenotype characteristics in pediatric population with slight-to-moderate sensorineural hearing loss. Methods:Children with slight-to-moderate sensorineural hearing loss of and their parents, enrolled from the Chinese Deafness Genome Project, were studied. Hearing levels were assessed using pure tone audiometry, behavioral audiometry, auditory steady state response(ASSR), auditory brainstem response(ABR) thresholds, and deformed partial otoacoustic emission(DPOAE). Classification of hearing loss is according to the 2022 American College of Medical Genetics and Genomics(ACMG) Clinical Practice Guidelines for Hearing Loss. Whole exome sequencing(WES) and deafness gene Panel testing were performed on peripheral venous blood from probands and validations were performed on their parents by Sanger sequencing. Results:All 134 patients had childhood onset, exhibiting bilateral symmetrical slight-to-moderate sensorineural hearing loss, as indicated by audiological examinations. Of the 134 patients, 29(21.6%) had a family history of hearing loss, and the rest were sporadic patients. Genetic causative genes were identified in 66(49.3%) patients. A total of 11 causative genes were detected, of which GJB2 was causative in 34 cases(51.5%), STRC in 10 cases(15.1%), MPZL2 gene in six cases(9.1%), and USH2A in five cases(7.6%).The most common gene detected in slight-to-moderate hearing loss was GJB2, with c. 109G>A homozygous mutation found in 16 cases(47.1%) and c. 109G>A compound heterozygous mutation in 9 cases(26.5%). Conclusion:This study provides a crucial genetic theory reference for early screening and detection of mild to moderate hearing loss in children, highlighting the predominance of recessive inheritance and the significance of gene like GJB2, STRC, MPZL2, USH2A.
Subject(s)
Humans , Child , Connexins/genetics , Connexin 26/genetics , Hearing Loss, Sensorineural/diagnosis , Mutation , Usher Syndromes , Hearing Loss, Bilateral , Audiometry, Pure-Tone , Intercellular Signaling Peptides and ProteinsABSTRACT
Objective@#To examine the association of 24 hour movement behaviors with emotional and behavioral problems among left behind children, so as to provide a theoretical reference for the practice of 24 hour activity interventions to promote emotional and behavioral problems in this population.@*Methods@#From February to May 2023, 1 117 left behind children in grades 4-6 from 10 primary schools in five cities in Zhejiang Province were selected using a convenient cluster sampling method to conduct a questionnaire survey examining 24 hour movement behaviors, as well as emotional and behavioral problems. The general linear model was adopted to analyze the association between satisfying the 24 hour movement behavior guidelines, and emotional and behavioral problems among left behind children.@*Results@#The sleep duration compliance rate was the highest (52.19%), while the moderate-to-vigorous PA (MVPA) compliance rate was the lowest (17.73%). The compliance rate of the three activities accounted for 7.43 %. There was a dose response between the number of guidelines satisfied, and the emotional and behavior of left behind children; that was, satisfaction of a higher number of guidelines was associated with a lower risk of emotional and behavioral problems among left behind children (difficulty factor: β=-0.56, 95%CI =-1.23--0.19; strength factor: β=0.50, 95%CI =-0.48-1.22, P < 0.01). Compared to satisfying none of the guidelines, satisfying the guidelines for screen time ( β=-0.23, 95%CI =-2.18- -0.14 ) and sleep duration ( β=-0.13, 95%CI =-1.66--0.11) was negatively correlated with the difficulty factor, while satisfying the guideline for MVPA ( β=0.13, 95%CI =0.09-1.08) and sleep duration ( β=0.18, 95%CI =0.09-1.40) was positively associated with the strength factor. In addition, satisfying two or all three of the guidelines was more strongly associated with these outcomes than satisfying one of the recommendations ( P <0.01).@*Conclusions@#Meeting the 24 hour movement behavior guidelines can improve emotional and behavioral problems among left behind children. It is necessary to raise their awareness of the effect of satisfying the 24 hour movement behavior guidelines and formulate comprehensive intervention measures.
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Objective To explore the correlation between clinical distribution characteristics of streptococcal pharyngitis in children and seasonal variations in Ziyang area, so as to provide basis for disease prevention and control. Methods A multistage and stratified random sampling technique was used to investigate 583 children with streptococcal pharyngitis attending Ziyang first people's Hospital from January 2022 to January 2023. The clinical data were recorded. The pharyngeal specimens were cultured for streptococci test. The number of streptococcal pharyngitis cases per season was counted. The metereological conditions (average barometric pressure, temperature, rainfall, and wind speed) were recorded. Pearson method was used to discuss the correlation between metereological factors and streptococcal pharyngitis onset. Results A total of the 583 children, 329 were male and 254 were female. The main age of onset was 7-12 years old, with a total of 227 cases (38.94%), followed by 199 cases (34.13%) aged 3-6 years old, 126 cases (21.61%) aged 1-2 years old, and 31 cases (5.32%) under 1 year old. A total of 614 strains of pathogenic bacteria were detected, of which 479 strains of Streptococcus hemolyticus were dominant, accounting for 78.01%, followed by 175 strains of Streptococcus pyogenes, accounting for 28.50%. Seasonally, 192 cases of streptococcal pharyngitis occurred in spring, 51 in summer, 72 in autumn and 268 in winter. In Ziyang, spring and winter were characterized by high mean wind speeds and barometric pressure, while summer and autumn were characterized by high mean temperatures and heavy rainfall. Pearson correlation analysis revealed that the prevalence rate streptococcal pharyngitis was positively correlated with average wind speed and barometric pressure (P<0.05), and negatively correlated with mean temperature and rainfall (P<0.05). Conclusion In Ziyang, streptococcal pharyngitis occurs mostly in children over 5 years old, and the main pathogen is Streptococcus hemolyticus. The onset of the disease is mostly in spring and winter, which is closely related to the seasonal variations of the region.
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The phonon, elastic, and thermoelectric properties of Ti2CO2 are investigated by first-principles calculations. The dynamic and mechanical stabilities of Ti2CO2 are confirmed. The Ti2CO2 monolayer exhibits strong acoustic-optical coupling with the lowest optical frequency of 122.83 cm-1. The TA mode originates from the contribution of Ti(XY) vibrations and has the largest gruneisen parameter at the Γ point; the LA mode has the main contribution of O(XY) and Ti(XY) vibrations and has the lowest gruneisen parameter at the M point. The analysis of the phonon spectrum indicates that the vibration contributions from C, O, and Ti atoms are mainly located in the low-, middle-, and high-energy regions, respectively. The Seebeck coefficient and electronic conductivity increase with increasing carrier concentration under room temperature. The analysis of mechanical properties shows that Ti2CO2 possesses a larger Young's modulus and bending modulus, which has a better ability to resist deformation. Thermal properties are further investigated.
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The modulation of electronic properties and quantum capacitance of Sc2CF2 under a perpendicular external E-field was investigated using density functional calculations for the potential application of nanoelectronics and nanophotonics. Sc2CF2 has an indirect band gap of 0.959 eV without an E-field. Furthermore, it undergoes a semiconducting-metallic transition under a positive E-field and a semiconductor-insulator transition under a negative E-field. The application of the negative E-field makes Sc2CF2 have an indirect band gap. Sc-d, F-p, and C-p states are mainly responsible for the significant variation of the band gap. Sc2CF2 under an external E-field always keeps the character of a cathode material under the whole potential. Especially, Sc2CF2 under a negative external E-field is more suitable for the cathode material due to its much smaller |Qp|/|Qn| with much higher Qn. The charge analysis is further performed.
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The effects of MgCl2 and NaCl concentrations on potato starch were analysed. With an increase in MgCl2 and NaCl concentrations from 0 to 4 mol/L, the gelatinisation properties, crystalline properties, and sedimentation rate of potato starch all showed a trend of rising first and then falling (or falling first and then rising). The inflection points of the effect trends were observed at 0.5 mol/L. This inflection point phenomenon was further analysed. At higher salt concentrations, starch granules were found to absorb external ions. These ions enhance the hydration of starch molecules and promote starch gelatinisation. When NaCl and MgCl2 concentrations were increased from 0 to 4 mol/L, the starch hydration strength increased 52.09 and 65.41 times, respectively. At lower salt concentrations, the ions that naturally exist in starch granules seep out of the granules. The exudation of these ions may cause a certain degree of damage to the native structure of starch granules.
Subject(s)
Sodium Chloride , Solanum tuberosum , Sodium Chloride/pharmacology , Solanum tuberosum/chemistry , Starch/chemistry , Chemical Phenomena , Ions/chemistryABSTRACT
Electrical impedance tomography (EIT) is an emerging technology for real-time monitoring based on the impedance differences of different tissues and organs in the human body. It has been initially applied in clinical research as well as disease diagnosis and treatment. Lung perfusion refers to the blood flow perfusion function of lung tissue, and the occurrence and development of many diseases are closely related to lung perfusion. Therefore, real-time monitoring of lung perfusion is particularly important. The application and development of EIT further promote the monitoring of lung perfusion, and related research has made great progress. This article reviews the principles of EIT imaging, lung perfusion imaging methods, and their clinical applications in recent years, with the aim of providing assistance to clinical and scientific researchers.
Subject(s)
Humans , Electric Impedance , Lung/physiology , Tomography, X-Ray Computed , Perfusion , Tomography/methodsABSTRACT
Using machine learning algorithms to construct an early prediction model of brucellosis to improve the diagnosis efficiency of Brucellosis. This study was a case-control study. 2 381 brucellosis patients from Beijing Ditan Hospital affiliated to Capital Medical University were retrospectively collected as case group, and healthy people from Beijing Chaoyang Hospital affiliated to Capital Medical University were collected as control group from May 9, 2011 to November 29, 2021. The relevant clinical information and full blood count results of 13 257 data were collected and five algorithms of machine learning were used to construct an early predication model of brucellosis by using machine learning: random forest, Naive Bayes, decision tree, logistic regression and support vector machine;14 074 data (2 143 cases incase group and 11 931 cases in control group) were used to establish the early predication model of brucellosis, and 1 564 (238 cases in case group and 1 326 cases in control group) data were used to test the predication efficiency of the brucellosis model. The results showed that the support vector machine algorithm has the best predication performance by comparing the five machine learning models. The area under receiver curve (AUC) of receiver operating characteristic (ROC) was 0.991, and the accuracy, precision, specificity and Recall were 95.6%, 95.5%, 95.4% and 95.9%, respectively. Based on the SHAP plot, platelet distribution width (PDW) and basophil relative value (BASO%) results were low, and men with high coefficient of variation (R-CV), erythrocyte hemoglobin concentration (MCHC), and platelet volume (MPV) were predicted to be at high risk of brucellosis. Platelet distribution width (PDW) contributed the most to the prediction model, followed by red blood cell distribution width coefficient of variation (R-CV). In conclusion, the establishment of a high-precision early predication method of brucellosis based on machine learning may be of great significance for the early detection and treatment of brucellosis patients.
Subject(s)
Male , Humans , Retrospective Studies , Case-Control Studies , Bayes Theorem , Algorithms , Machine LearningABSTRACT
This study used machine learning techniques combined with routine blood cell analysis parameters to build preliminary prediction models, helping differentiate patients with depression from healthy controls, or patients with anxiety. A multicenter study was performed by collecting blood cell analysis data of Beijing Chaoyang Hospital and the First Hospital of Hebei Medical University from 2020 to 2021. Machine learning techniques, including support vector machine, decision tree, naïve Bayes, random forest and multi-layer perceptron were explored to establish a prediction model of depression. The results showed that based on the blood cell analysis results of healthy controls and depression group, the accuracy of prediction model reached as high as 0.99, F1 was 0.975. Receiver operating characteristic curve area and average accuracy were 0.985 and 0.967, respectively. Platelet parameters contributed mostly to depression prediction model. While, to random forest differential diagnosis model based on the data from depression and anxiety groups, prediction accuracy reached 0.68 and AUC 0.622. Age, platelet parameters, and average volume of red blood cells contributed the most to the model. In conclusion, the study researched on the prediction model of depression by exploring blood cell analysis parameters, revealing that machine learning models were more objective in the evaluation of mental illness.
Subject(s)
Humans , Depression , Bayes Theorem , Machine Learning , Support Vector Machine , Blood Cell CountABSTRACT
The present study aimed to explore the underlying mechanism of Wuling Capsules in the treatment of hepatic fibrosis(HF) through network pharmacology, molecular docking, and animal experiments. Firstly, the chemical components and targets of Wuling Capsules against HF were searched from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP), Traditional Chinese Medicines Integrated Database(TCMID), GeneCards, and literature retrieval. The protein-protein interaction(PPI) network analysis was carried out on the common targets by STRING database and Cytoscape 3.9.1 software, and the core targets were screened, followed by Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analyses. Enrichment analysis was conducted on the core targets and the "drug-core component-target-pathway-disease" network was further constructed. Subsequently, molecular docking between core components and core targets was conducted using AutoDock Vina software to predict the underlying mechanism of action against HF. Finally, an HF model induced by CCl_4 was constructed in rats, and the general signs and liver tissue morphology were observed. HE and Masson staining were used to analyze the liver tissue sections. The effects of Wuling Capsules on the levels of inflammatory factors, hydroxyproline(HYP) levels, and core targets were analyzed by ELISA, RT-PCR, etc. A total of 445 chemical components of Wuling Capsules were screened, corresponding to 3 882 potential targets, intersecting with 1 240 targets of HF, and 47 core targets such as TNF, IL6, INS, and PIK3CA were screened. GO and KEGG enrichment analysis showed that the core targets mainly affected the process of cell stimulation response and metabolic regulation, involving cancer, PI3K-Akt, MAPK, and other signaling pathways. Molecular docking showed that the core components of Wuling Capsules, such as lucidenic acid K, ganoderic acid B, lucidenic acid N, saikosaponin Q2, and neocryptotanshinone, had high affinities with the core targets, such as TNF, IL6 and PIK3CA. Animal experiments showed that Wuling Capsules could reduce fat vacuole, inflammatory infiltration, and collagen deposition in rat liver, decrease the levels of inflammatory cytokines TNF-α, IL-6, and HYP, and downregulated the expressions of PI3K and Akt mRNA. This study suggests that the anti-HF effect of Wuling Capsules may be achieved by regulating the PI3K-Akt signaling pathway, reducing the levels of TNF-α and IL-6 inflammatory factors, and inhibiting the excessive deposition of collagen.
Subject(s)
Animals , Rats , Interleukin-6 , Network Pharmacology , Animal Experimentation , Tumor Necrosis Factor-alpha , Molecular Docking Simulation , Phosphatidylinositol 3-Kinases , Proto-Oncogene Proteins c-akt , Liver Cirrhosis/genetics , Medicine, Chinese Traditional , Capsules , Class I Phosphatidylinositol 3-Kinases , Collagen , Drugs, Chinese Herbal/pharmacologyABSTRACT
Using machine learning algorithms to construct an early prediction model of brucellosis to improve the diagnosis efficiency of Brucellosis. This study was a case-control study. 2 381 brucellosis patients from Beijing Ditan Hospital affiliated to Capital Medical University were retrospectively collected as case group, and healthy people from Beijing Chaoyang Hospital affiliated to Capital Medical University were collected as control group from May 9, 2011 to November 29, 2021. The relevant clinical information and full blood count results of 13 257 data were collected and five algorithms of machine learning were used to construct an early predication model of brucellosis by using machine learning: random forest, Naive Bayes, decision tree, logistic regression and support vector machine;14 074 data (2 143 cases incase group and 11 931 cases in control group) were used to establish the early predication model of brucellosis, and 1 564 (238 cases in case group and 1 326 cases in control group) data were used to test the predication efficiency of the brucellosis model. The results showed that the support vector machine algorithm has the best predication performance by comparing the five machine learning models. The area under receiver curve (AUC) of receiver operating characteristic (ROC) was 0.991, and the accuracy, precision, specificity and Recall were 95.6%, 95.5%, 95.4% and 95.9%, respectively. Based on the SHAP plot, platelet distribution width (PDW) and basophil relative value (BASO%) results were low, and men with high coefficient of variation (R-CV), erythrocyte hemoglobin concentration (MCHC), and platelet volume (MPV) were predicted to be at high risk of brucellosis. Platelet distribution width (PDW) contributed the most to the prediction model, followed by red blood cell distribution width coefficient of variation (R-CV). In conclusion, the establishment of a high-precision early predication method of brucellosis based on machine learning may be of great significance for the early detection and treatment of brucellosis patients.
Subject(s)
Male , Humans , Retrospective Studies , Case-Control Studies , Bayes Theorem , Algorithms , Machine LearningABSTRACT
This study used machine learning techniques combined with routine blood cell analysis parameters to build preliminary prediction models, helping differentiate patients with depression from healthy controls, or patients with anxiety. A multicenter study was performed by collecting blood cell analysis data of Beijing Chaoyang Hospital and the First Hospital of Hebei Medical University from 2020 to 2021. Machine learning techniques, including support vector machine, decision tree, naïve Bayes, random forest and multi-layer perceptron were explored to establish a prediction model of depression. The results showed that based on the blood cell analysis results of healthy controls and depression group, the accuracy of prediction model reached as high as 0.99, F1 was 0.975. Receiver operating characteristic curve area and average accuracy were 0.985 and 0.967, respectively. Platelet parameters contributed mostly to depression prediction model. While, to random forest differential diagnosis model based on the data from depression and anxiety groups, prediction accuracy reached 0.68 and AUC 0.622. Age, platelet parameters, and average volume of red blood cells contributed the most to the model. In conclusion, the study researched on the prediction model of depression by exploring blood cell analysis parameters, revealing that machine learning models were more objective in the evaluation of mental illness.
Subject(s)
Humans , Depression , Bayes Theorem , Machine Learning , Support Vector Machine , Blood Cell CountABSTRACT
Objective:To study the clinical manifestations and treatment of neonatal testicular torsion (NTT) and to summarize the experience of diagnosis and treatment.Methods:The clinical data of the patients with NTT admitted to the Department of Pediatric Urology in Guangzhou Women and Children's Medical Center from January 2015 to January 2021 were analyzed retrospectively. The data included demographic information, testicular torsion duration, clinical presentation, ultrasonography findings, surgical procedures, pathological results, follow-ups, and prognosis.Results:A total of 17 cases were enrolled in this study, and the median age was 5.2 d, ranging from 1 d to 17 d; the weight ranging from 2 800 g to 4 000 g. 11 cases of left testicular torsion and 6 cases of right testicular torsion. The median time from onset to medical attention was 3.8 d, ranging from 10 h to 15 d. The first manifestations being reported were scrotal swelling, color change, or painless mass. Emergency ultrasound revealed that the blood flow signal in the testis was significantly reduced or disappeared, and heterogeneous mass echoes were detected in the scrotum. Surgical exploration was performed in all 17 cases and confirmed to be testicular torsion. There were 15 cases of extravaginal torsion and 2 cases of intravaginal torsion. There were 6 cases of clockwise torsion and 11 cases of anticlockwise torsion. The average degree of twisted testis was 450.8°, ranging from 270° to 720°. The rate of orchiectomy was 88.2% (15/17). All patients were followed up for a minimum of 1 year postoperatively. None of the patients experienced postoperative bleeding or infection at the scrotal incision site. There were no instances of recurrent testicular torsion, and the contralateral testicles showed no abnormalities. In 2 cases where the affected testicle was preserved, ultrasound reevaluation at 6 months postoperatively revealed atrophy of the affected testicle.Conclusions:NTT is rare in clinics and lacks specificity, with a high rate of testis loss. When the newborns exhibit scrotal swelling, color change, or other abnormalities, testicular torsion cannot be ruled out, and early surgical exploration is required.
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The construction of national regional medical centers is an important initiative for the reform of the na-tional medical service system,and 125 national regional medical centers have been approved nationwide.As one of the first batch of 10 national regional medical center projects approved,the Chongli Branch of Peking University Third Hospital,in accordance with the positioning of"Ice and Snow Sports Medical Center",features the treatment of sports trauma diseases,adopts the model of"large specialty,small comprehensive",and takes the principle of homogeneous development,utilizing the brand,technology and talent advantages of the Peking University Third Hospital,has rapidly improved the medical service capacity of the Chongli Branch,and successfully completed the medical security tasks of the Beijing 2022 Winter Olympic Games and Winter Paralympic Games.Peking University Third Hospital Headquarters and Chongli Branch were awarded the title of"Outstanding Contribution to the Beijing Winter Olympics and Winter Paralympics"by the State Council of the CPC Central Committee respectively.
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Objective:To investigate the trademark registration situation of grade-A tertiary hospitals in China, so as to analyze the current situation of hospital brand protection and explore suggestions for hospital brand protection.Methods:The top 50 hospitals ranked in the 2021 National Hospital Comprehensive Ranking by the Hospital Management Research Institute of Fudan University, excluding military hospitals, were selected as the sample hospitals. The trademark registration information of the 50 sample hospitals was queried through the China Trademark Website of the Trademark Office of China National Intellectual Property Administration on March 15, 2023, and the registration of the full name, abbreviation, hospital emblem and other trademarks of the hospitals was counted. Results:Among the 50 sample hospitals, 26 hospitals already held hospital brand trademarks, which meant that at least one of the hospital′s full name, abbreviation, and emblem was registered as a trademark, accounting for 52%; 7 hospitals did not hold any trademarks, accounting for 14%; 17 hospitals held other trademarks but did not hold hospital brand trademarks, accounting for 34%. Among the 26 hospitals that already held brand trademarks, 11 hospitals only registered in one category. There were 3 hospitals with expired registered trademarks.Conclusions:Nearly half of the sample hospitals did not hold hospital brand trademarks, indicating that the trademark registration and brand protection of tertiary hospitals in China need to be strengthened. It is suggested to establish a hospital brand protection system, clarify the trademark management department, standardize the responsibilities of trademark management, and improve the use of trademarks, so as to do a good job in hospital trademark registration and brand protection.
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Amniotic membrane is the innermost membrane in human placenta. It supports epithelialization and has the characteristics of anti-fibrosis, anti-inflammation and anti-angiogenesis. It is gradually widely used in ophthalmic surgery and other surgical operations. In recently years, the amniotic membrane has been used more frequently in ophthalmic clinic and has achieved better curative effect. This article reviews the application of amniotic membrane transplantation in ocular diseases such as ocular burn, conjunctival disease, corneal disease, pterygium, glaucoma and macular hole. It is expected that amniotic membrane transplantation will bring new ideas for the treatment of ocular diseases.
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BACKGROUND: We have explored that quantitative PCT detection can be conducted in different sample types (whole blood and/or plasma samples) with good correlation and consistency in clinical use. These findings reduce the sample volume and turnover time of PCT detection in clinical labs. However, different hematocrit (HCT) percentages of whole blood samples may affect the final results, especially abnormal hematocrit (HCT) percentages. To overcome this problem, we established a mathematical model to modify the whole blood test results and evaluated the effects of HCT correction. METHODS: First, we prepared a preliminary experiment - various hematocrit (HCT) percentages (15% - 65%) of whole blood samples with different PCT concentrations and established a mathematic model to correct the effects of PCT detection. Then, in this paper, we evaluated the consistency with Pearson's correlation and Kappa analysis between whole bloods detected by the i-Reader S system and plasma detected by the Biomerieux system. Besides, we prepared different HCT values about 15%, 40%, 60% of 9 samples with different PCT concentrations to evaluate the effects of HCT correction Results and Conclusions: Pearson's correlative studies and Kappa analysis indicated that PCT levels measured by i-Reader S (plasma & whole blood samples) were comparable to results from the VIDAS system, and HCT correction could improve consistency of PCT detection between whole blood and plasma. Analysis of samples with abnormal HCT values showed that the mathematical correction model could offset the influences of various HCT values.
Subject(s)
Hematocrit , Plasma , Procalcitonin , Hematocrit/methods , Humans , Procalcitonin/bloodABSTRACT
Objective: The purpose of this study was to study the role and mechanism of miR-19b-3p in regulating myocardial inflammation and injury of viral myocarditis in viral myocarditis induced by Coxsackievirus B3 (CVB3). A CVB3 infection mouse model was established, the survival rate of mice was recorded after different treatments, cardiac function was detected, the degree of myocardial inflammatory infiltration and injury was detected by immunohistochemical and biochemical analyses, miR-19b-3p and PKNOX1 expression in cardiac tissue and cardiac infiltrating macrophages was detected using RT-PCR, and isolated mouse bone marrow-derived macrophages and the differentiation of macrophages after different transfections were detected. Finally, the binding of miR-19b-3p and PKNOX1 was verified by the dual luciferase reporter gene. The results showed that the expression of miR-19b-3p was significantly downregulated in the cardiac tissue and infiltrating macrophages of CVB3-infected mice, while the expression of PKNOX1 was upregulated. Upregulation of miR-19b-3p has protective effects against CVB3-induced myocardial injury in mice, such as weight gain, prolonged survival, increased left ventricular ejection fraction and left ventricular short axis shortening, reduced inflammation, creatine kinase isoenzyme (CK)-MB, and lactate dehydrogenase (LDH), and aspartate aminotransferase (AST) levels decreased, while interferon-γ and interleukin-6 (IL-6) increased, and the M2/M1 cell ratio was upregulated. In conclusion, miR-19b-3p can regulate macrophage polarization by targeting PKNOX1, and has a protective effect against CVB3-induced inflammation and myocardial injury.
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Objective:To evaluate the relationship between early postoperative recovery and frailty after digestive endoscopy-assisted minimally invasive surgery under intravenous anesthesia in the elderly.Methods:This study retrospectively selected hospitalized patients, aged ≥65 yr, scheduled for elective gastrointestinal endoscopic treatment.Early postoperative recovery time was defined as the period from the end of propofol administration to the achievement of a modified Aldrete score of 9.All the patients were divided into 2 groups according to whether the early recovery time after operation was less than 75%: normal early postoperative recovery time group and delayed early postoperative recovery time group.Frailty was assessed using the frailty phenotype (FP score 0-5), and the patient was diagnosed as frail (FP ≥3) or non-frail (FP 0-2). The age, sex, height, weight, smoking history, American Society of Anesthesiologists (ASA) Physical Status classification, type of operation, and baseline mean arterial pressure and heart rate were recorded.Logistic regression analysis was used to identify the risk factors for delayed early postoperative recovery time after minimally invasive digestive endoscopy under intravenous anesthesia in elderly patients.Results:A total of 214 patients were enrolled and divided into normal early postoperative recovery time group ( n=169) and delayed early postoperative recovery time group ( n=45). There were significant differences in frailty, age, drinking history of more than 10 yr, preoperative ASA Physical Status classification and propofol administration time between delayed early postoperative recovery time group and normal early postoperative recovery time group ( P<0.05). The results of logistic regression analysis indicated that frailty, age, ASA Physical Status classification Ⅲ, and propofol administration time were independent risk factors for the occurrence of delayed early postoperative recovery ( P<0.05). Conclusions:Frailty, age, ASA Physical Status classification Ⅲ and propofol administration time are independent risk factors for delayed early postoperative recovery time following digestive endoscopy-assisted minimally invasive surgery under intravenous anesthesia in elderly patients.