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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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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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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.
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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.
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Humans , Depression , Bayes Theorem , Machine Learning , Support Vector Machine , Blood Cell CountABSTRACT
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
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.
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Humans , Electric Impedance , Lung/physiology , Tomography, X-Ray Computed , Perfusion , Tomography/methodsABSTRACT
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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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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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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Kidney is an essential organ in human body with multiple physiological functions. However, there is 10 % population worldwide with renal disease. It is urgent to generate a model which is more similar with kidney at structural and functional level to study renal disease. The rise of in vitro differentiation technology from pluripotent stem cells gives regeneration medicine and precise medicine new energy. This study mimics kidney development in vitro by inducing human pluripotent stem cells including embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs) into kidney progenitor cells, and further forming nephrons, which is the structure and function unit in kidney. Human pluripotent stem cells were differentiated into primitive streak through activating WNT pathway while inhibiting TGF-(B signaling. Afterward, the primitive streak spontaneously differentiated into intermediate mesoderm. Then, we induced intermediate mesoderm cells into kidney progenitor cells through FGF pathway. The FACS analysis data indicated kidney progenitor cells were up to 51. 5%-61. 9% in total cell population. Immuno-stai-ning results showed these structures contained podocytes of glomerulus, proximal tubule, and distal tubule. This kidney differentiation protocol is stable, high-efficient, and well repeatable. This research provides a novel platform for early human kidney development study, kidney disease modeling, and drug screening.
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Objective To explore the expression profiles of circulating microRNA(miRNA)and potential markers for the diagnosis of adult fulminant myocarditis(FM). Methods The expression profiles of circulating miRNA were determined by microarray analysis and verified by real-time quantitative PCR.The key role of circulating miRNA in FM was determined via KEGG pathway enrichment.The correlations between miRNA and cardiac function parameters in patients with FM were analyzed.The receiver operating characteristic(ROC)curve was established to evaluate the sensitivity and specificity of circulating miRNA in the diagnosis of FM. Results Compared with healthy controls,the FM patients had up-regulated expression levels of miR-29b(t=18.925,P<0.001)and miR-125b(t=5.981,P=0.029)in the plasma.After treatment,the expression levels of miR-29b(t=12.943,P<0.001)and miR-125b(t=14.016,P<0.001)were significantly down-regulated.KEGG pathway enrichment showed that the targets of miR-29b were involved in inflammatory response and apoptosis pathways.The results of cell proliferation and apoptosis assay demonstrated the transfection of miR-29b mimic had a more significant inducing effect on cardiomyocyte apoptosis than that of miR-125b mimic(χ 2=6.168,P=0.047),whereas there was no significant difference in the inhibition of cell proliferation between the two groups(χ2=1.452,P=0.417).The expression levels of miR-29b and miR-125b were negatively correlated with left ventricular ejection fraction(r=-0.67,P=0.071;r=-0.49,P=0.003).They were positively correlated with cardiac troponin I level(r=0.61,P=0.019;r=0.52,P=0.016),interferon β level(r=0.42,P=0.014;r=0.36,P=0.021),and myocardial edema area(r=0.86,P=0.005;r=0.73,P=0.013).The ROC curve analysis demonstrated that miR-29b had higher sensitivity for the diagnosis of FM(93.6% vs.89.2%;t=0.896,P=0.795)and specificity(72.4% vs.59.6%;t=9.478,P=0.002)than miR-125b. Conclusion The circulating miR-29b may be a potential biomarker for the diagnosis of FM.
Subject(s)
Adult , Humans , Biomarkers/metabolism , Circulating MicroRNA/metabolism , MicroRNAs/metabolism , Myocarditis/diagnosis , Stroke Volume , Ventricular Function, LeftABSTRACT
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.
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Objective:To investigate the application value of establishing the differential diagnosis model of pulmonary tuberculosis using routine laboratory data.Methods:The retrospective study was conducted. The routine laboratory data of newly diagnosed patients with pulmonary tuberculosis and other pulmonary diseases in Beijng Jishuitan Hospital and Beijing Hepingli Hospital from May 2015 to November 2021were collected. According to the random numbers showed in the computer, all the 11516 patients were divided into training dataset and test dataset with a ratio of 9∶1. Four machine learning algorithms, Support Vector Machine, Random Forest, K-Nearest Neighbor and Logistic Regression, were used to build models and select features. The diagnostic accuracy of each model was verified by using the 10-fold cross-validation method and the performance of each model was evaluated by using the receptor operator of characteristic (ROC) curve.Results:Random Forest was selected as the optimal machine learning algorithm to build the best feature model in the study. According to importance scale of factors, the differential diagnosis model of pulmonary tuberculosis consisting of 37 non-specific test indexes. In the validation set and test set the accuracy and area under curve (AUC) of the models were 0.747 and 0.736, the sensitivity, specificity and accuracy were 68.03% and 68.75%, 70.91% and 67.90%, 70.30% and 68.12%, respectively.Conclusion:A key tool in the differential diagnosis model of pulmonary tuberculosis was established by routine laboratory data in combination with machine learning. The results of this study need to be further verified by more data from medical institutions.
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Objective:To investigate the efficacy and safety of nasal continuous positive airway pressure (NCPAP) combined with inhalation of pulmonary surfactant (PS) using vibrating mesh nebulizers in the treatment of neonatal respiratory distress syndrome (RDS).Methods:A prospective study was performed on premature infants with RDS admitted to the First Affiliated Hospital of Bengbu Medical College between December 2020 and June 2021. They were randomly assigned into vibrating mesh atomization technology group and intubation-surfactant-extubation (INSURE) technology group. The two groups were treated with NCPAP combined with PS. PS in the vibrating mesh atomization technology group was inhaled into the lungs by the new vibrating mesh atomization technology, while PS in the INSURE group was injected into the lungs by endotracheal tube. The pH value, arterial partial pressure of carbon dioxide (PaCO 2), oxygenation index (PaO 2/FiO 2), mechanical ventilation via endotracheal tube (MVET) demand rate, duration of respiratory support, secondary use of PS, complications, and hospital mortality were compared between the two groups. The occurrences of adverse events in the two groups were recorded. Results:A total of 42 preterm infants were finally enrolled, including 20 cases in the vibrating mesh atomization technology group and 22 cases in the INSURE technology group. There were no significant differences in blood gas analysis and PaO 2/FiO 2 before PS administration between the two groups. One hour after PS administration, blood gas analysis and PaO 2/FiO 2 were significantly improved in both groups. Compared with the INSURE technology group, the improvement of PaO 2/FiO 2 was more obvious in the vibrating mesh atomization technology group [mmHg (1 mmHg≈0.133 kPa): 198±34 vs. 173±39, P < 0.05], but no significant difference in pH value or PaCO 2 was found between the two groups. The duration of respiratory support in the vibrating mesh atomization technology group was significantly shorter than that in the INSURE technology group (hours: 96±13 vs. 120±18, P < 0.01), but there was no statistical difference in MVET demand rate [5.0% (1/20) vs. 13.6% (3/22), P > 0.05]. The incidence of periventricular-intraventricular hemorrhage (PVH-IVH) in the vibrating mesh atomization technology group was less than that in the INSURE technology group [0% (0/20) vs. 18.2% (4/22)], but no statistical difference was found ( P > 0.05). No significant differences in the secondary use rate of PS and incidence of bronchopulmonary dysplasia (BPD) or other complications were found between the vibrating mesh atomization technology group and the INSURE technology group [5.0% (1/20) vs. 9.1% (2/22), 5.0% (1/20) vs. 4.5% (1/22), both P > 0.05]. There were no deaths or serious adverse events such as pneumothorax, pulmonary hemorrhage, periventricular leukomalacia (PVL), retinopathy of prematurity (ROP), and necrotizing enterocolitis (NEC) in both groups. Conclusion:Compared with the INSURE technique, NCPAP combined with vibrating mesh atomization technology was also effective and safe in the treatment of RDS, which could significantly improve PaO 2/FiO 2 and shorten the duration of respiratory support. Thus, it was worthy of clinical popularization and application.
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Objective:To prepare the control materials of point-of-care(POC) glucose testing and evaluate their homogeneity, stability and matrix effects.Methods:The high, medium and low concentration control materials were prepared from patient leftover whole blood, which was centrifuged, fixed, washed, filtered, and aliquoted. The homogeneity and stability of the control materials were evaluated according to CNAS (China National Accreditation Service for Conformity Assessment, CNAS) GL29:2010"Reference materials-General and statistical principles for certification". The control materials were used to evaluate the matrix effects in POC glucose detection systems by Deming regression, according to the Clinical and Laboratory Standards Institute (CLSI) EP14-A3. Meanwhile, these control materials were used as the internal quality control, and their coefficients of variation ( CV) were calculated. One-way ANOVA and t-Test were used to analyze the results. Results:The homemade materials at three concentrations showed good homogeneity[ F< F0.05(9, 20)]. When the control materials were stored at 2-8 ℃, the stable phases for the opened and closed bottles were 10 days and 15 days, respectively, and there was no statistically significant difference between the results of the first day( P>0.05). The control materials at three concentrations also showed good applicability and there were no matrix effects in 10 POC glucose systems. When the control materials were detected in the internal quality control, the CVs of the high, medium and low concentrations were 0.63%, 0.66% and 1.65%, respectively, which were all below 7.5%. Conclusions:The homemade human control materials of POC glucose testing showed good homogeneity, stability and applicability. They met the requirements of quality control in hospital settings, which provided a good application prospect of the quality management of POC glucose testing.
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Objective:To establish and evaluate a new real-time quality control method that can identify the random errors by using the backpropagation neural network (BPNN) algorithm and taking blood glucose test as an example.Methods:A total of 219 000 blood glucose results measured by Siemens advia 2 400 analytical system from January 2019 to July 2020 and derived from Laboratory Information System of Beijing Chaoyang Hospital Laboratory Department was regarded as the unbiased data of our study. Six deviations with different sizes were introduced to generate the corresponding biased data. With each biased data, BPNN and MovSD algorithms were used and tested, and then evaluated by traceability method and clinical method.Results:For BPNN algorithm, the block size was pre-set to 10 and the false-positive rate in all biases was within 0.1%. For MovSD, however, the optimal block size and exclusive limit were 150 and 10% separately and its false-positive rate in all biases was 0.38%, which was 0.28% higher than BPNN. Especially, for the least two error factors of 0.5 and 1, all the random errors were not detected by MovSD; for the error factor larger than 1, random errors could be detected by MovSD but the MNPed was higher than that of BPNN under all deviations. The difference was up to 91.67 times. 460 000 reference data were produced by traceability procedure. The uncertainty of BPNN algorithm evaluated by these reference data was only 0.078%.Conclusion:A real-time quality control method based on BPNN algorithm was successfully established to identify random errors in analytical phase, which was more efficient than MovSD method and provided a new idea and method for the identification of random errors in clinical practice.