Objective To analyze the influence of midazolam and propofol on sedation effect and blood gas indicators in elderly patients undergoing mechanical ventilation after cardiopulmonary bypass(CPB)cardiac surgery.Methods The elderly patients with mechanical ventilation after CPB cardiac surgery were grouped according to cohort method,including midazolam group(group M),propofol group(group P)and midazolam-propofol combined administration group(group M-P).Group M was treated with midazolam(intravenous injection of 0.05-0.10 mg kg-1 midazolam for sedation induction,and then continuously intravenous injection of 0.05-0.15 mg·kg-1·h-1 midazolam by micropump),and group P was treated with propofol(intravenous injection of 0.5 mg·kg-1 propofol for sedation induction,and then continuously intravenous injection of 0.5-2.0 mg·kg-1·h-1 propofol by micropump),and group M-P was given combined administration of midazolam and propofol(intravenous injection of 0.02-0.05 mg·kg-1 midazolam and 0.2-0.5 mg·kg-1 propofol for sedation induction and then continuously intravenous pump of 0.05-0.1 mg·kg-1 midazolam and 0.5-0.8 mg·kg·h-1 propofol).The sedation effect,blood gas indicators,hemodynamic indicators,extubation time,intensive care unit(ICU)stay time and treatment cost were compared among the three groups,and the adverse drug reactions during sedation therapy were recorded.Results There were 43 cases in group M,44 cases in group P,39 cases in group M-P.The drug onset times in groups M,P and M-P were(77.94±12.05),(18.18±5.20)and(21.25±9.36)s;the times to achieve satisfactory sedation effect were(42.57±11.41),(22.63±8.17)and(23.98±10.25)min;the recovery times after withdrawal were(59.30±14.86),(19.83±5.44)and(22.16±6.29)min;the extubation times were(1.61±0.20),(1.45±0.22)and(1.37±0.15)d;the ICU stay times were(2.17±0.29),(1.91±0.36)and(1.84±0.25)d;the treatment costs were(186.59±60.83),(922.97±164.34)and(375.03±71.16)thousand yuan;and the total incidence rates of adverse drug reactions were 34.88％,4.55％and 7.69％respectively,all with significant difference(all P＜0.05).There were no statistically significant differences in mean arterial pressure(MAP),heart rate(HR),oxygen saturation(SpO2),partial pressure of oxygen(PaO2),partial pressure of carbon dioxide(PaCO2)at T0,T1,T2,T3 and T4 among the three groups(all P＞0.05).Conclusion Combined administration of midazolam and propofol in elderly patients underwent mechanical ventilation after CPB cardiac surgery has a significant sedation effect,and it is conducive to reducing the dosages of sedative drugs,and it has small impact on blood gas indicators and hemodynamic indicators of patients.Compared with midazolam alone,it is more beneficial to shortening the extubation time and ICU stay and reducing the total incidence rate of adverse drug reactions,and compared with propofol alone,it is more beneficial to reducing treatment cost,and is a more ideal sedation administration model.

Background: Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is associated with coronary artery lesion development.Purpose: This study aimed to explore the factors associated with IVIG-resistance and construct and validate an interpretable machine learning (ML) prediction model in clinical practice. Methods: Between December 2014 and November 2022, 602 patients were screened and risk factors for IVIG-resistance investigated. Five ML models are used to establish an optimal prediction model. The SHapley Additive exPlanations (SHAP) method was used to interpret the ML model. Results: Na+, hemoglobin (Hb), C-reactive protein (CRP), and globulin were independent risk factors for IVIG-resistance. A nonlinear relationship was identified between globulin level and IVIG-resistance. The XGBoost model exhibited excellent performance, with an area under the receiver operating characteristic curve of 0.821, accuracy of 0.748, sensitivity of 0.889, and specificity of 0.683 in the testing set. The XGBoost model was interpreted globally and locally using the SHAP method. Conclusion Na+, Hb, CRP, and globulin levels were independently associated with IVIG-resistance. Our findings demonstrate that ML models can reliably predict IVIG-resistance. Moreover, use of the SHAP method to interpret the established XGBoost model's findings would provide evidence of IVIG-resistance and guide the individualized treatment of Kawasaki disease.

Background: Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is associated with coronary artery lesion development.Purpose: This study aimed to explore the factors associated with IVIG-resistance and construct and validate an interpretable machine learning (ML) prediction model in clinical practice. Methods: Between December 2014 and November 2022, 602 patients were screened and risk factors for IVIG-resistance investigated. Five ML models are used to establish an optimal prediction model. The SHapley Additive exPlanations (SHAP) method was used to interpret the ML model. Results: Na+, hemoglobin (Hb), C-reactive protein (CRP), and globulin were independent risk factors for IVIG-resistance. A nonlinear relationship was identified between globulin level and IVIG-resistance. The XGBoost model exhibited excellent performance, with an area under the receiver operating characteristic curve of 0.821, accuracy of 0.748, sensitivity of 0.889, and specificity of 0.683 in the testing set. The XGBoost model was interpreted globally and locally using the SHAP method. Conclusion Na+, Hb, CRP, and globulin levels were independently associated with IVIG-resistance. Our findings demonstrate that ML models can reliably predict IVIG-resistance. Moreover, use of the SHAP method to interpret the established XGBoost model's findings would provide evidence of IVIG-resistance and guide the individualized treatment of Kawasaki disease.

Background: Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is associated with coronary artery lesion development.Purpose: This study aimed to explore the factors associated with IVIG-resistance and construct and validate an interpretable machine learning (ML) prediction model in clinical practice. Methods: Between December 2014 and November 2022, 602 patients were screened and risk factors for IVIG-resistance investigated. Five ML models are used to establish an optimal prediction model. The SHapley Additive exPlanations (SHAP) method was used to interpret the ML model. Results: Na+, hemoglobin (Hb), C-reactive protein (CRP), and globulin were independent risk factors for IVIG-resistance. A nonlinear relationship was identified between globulin level and IVIG-resistance. The XGBoost model exhibited excellent performance, with an area under the receiver operating characteristic curve of 0.821, accuracy of 0.748, sensitivity of 0.889, and specificity of 0.683 in the testing set. The XGBoost model was interpreted globally and locally using the SHAP method. Conclusion Na+, Hb, CRP, and globulin levels were independently associated with IVIG-resistance. Our findings demonstrate that ML models can reliably predict IVIG-resistance. Moreover, use of the SHAP method to interpret the established XGBoost model's findings would provide evidence of IVIG-resistance and guide the individualized treatment of Kawasaki disease.

Background: Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is associated with coronary artery lesion development.Purpose: This study aimed to explore the factors associated with IVIG-resistance and construct and validate an interpretable machine learning (ML) prediction model in clinical practice. Methods: Between December 2014 and November 2022, 602 patients were screened and risk factors for IVIG-resistance investigated. Five ML models are used to establish an optimal prediction model. The SHapley Additive exPlanations (SHAP) method was used to interpret the ML model. Results: Na+, hemoglobin (Hb), C-reactive protein (CRP), and globulin were independent risk factors for IVIG-resistance. A nonlinear relationship was identified between globulin level and IVIG-resistance. The XGBoost model exhibited excellent performance, with an area under the receiver operating characteristic curve of 0.821, accuracy of 0.748, sensitivity of 0.889, and specificity of 0.683 in the testing set. The XGBoost model was interpreted globally and locally using the SHAP method. Conclusion Na+, Hb, CRP, and globulin levels were independently associated with IVIG-resistance. Our findings demonstrate that ML models can reliably predict IVIG-resistance. Moreover, use of the SHAP method to interpret the established XGBoost model's findings would provide evidence of IVIG-resistance and guide the individualized treatment of Kawasaki disease.

The early response of plant auxin gene family Aux/IAA (auxin/indole-3-acetic acid) and its interaction with auxin response factor (ARF) are important pattern to regulate plant growth and development. This work identified 28 StoIAA and 24 StoARF members based on the whole genome data of the medicinal plant Senna tora L., which were classified into 10 and 8 subfamilies, respectively. Phylogenetic tree and collinearity analysis showed that S. tora has close evolutionary relationship with the IAA and ARF homologous genes of Glycine max, Medicago truncatula, and the segment duplication events dominate the expansion of StoIAA and StoARF. Gene structure analysis showed that the vast majority of StoIAA and StoARF contain characteristic conserved domain. Transcriptome data showed that StoIAAs and StoARFs were expressed in leaves, roots and seeds, some members had tissue specific expression. The StoIAA and StoARF promoter region most contain functional elements related to stress response, growth and development, hormone induction and secondary metabolism. In addition, gene expression analysis showed that many StoIAAs and StoARFs can quickly respond to drought and salt stress and exhibited same expression patterns under both stress condition. The yeast two-hybrid experiment confirmed that StoARF8 and StoARF10 exhibit varying degrees of interaction with multiple StoIAA proteins, respectively. The above results provide a basis for further biological functional analysis of the Aux/IAA and ARF gene family of S. tora.

Objective To study the correlation between traditional Chinese medicine(TCM)constitution and pathogenic factors in patients with ankylosing spondylitis(AS).Methods One hundred patients of AS and their family members who had medical consultation in the Fifth Hospital of Xi'an(i.e.,Shaanxi Hospital of Integrated Traditional Chinese and Western Medicine)in August 2019 and September 2020 were selected as the study subjects.The guidelines of Classification and Determination of Traditional Chinese Medicine Constitution issued by the China Association of Chinese Medicine were adopted to determine the traditional Chinese medicine(TCM)constitution types of the study subjects.The sociodemographic information,living habits,clinical symptoms,and TCM constitution types of the AS patients and their family members were collected by means of questionnaires and clinical investigations,and then the pathogenic factors of the patients with AS were investigated.The binomial Logistic regression model was used to analyze the correlation between TCM constitution types and pathogenic factors in patients with AS.Results(1)Among the 100 AS patients,the majority of them had the biased constitutions,and the biased constitutions with the occurrence frequency in descending order were yang deficiency constitution,qi deficiency constitution,and damp-heat constitution,which accounted for 33.00%,14.00%,and 18.00%,respectively.(2)The prevalence rates of AS in the first-,second-,and third-degree relatives of AS patients were 56.25%,40.00%and 25.00%,respectively.For the positive rates of human leukocyte antigen B27(HLA-B27)in AS patients and their family members,HLA-B27 in AS patients was all positive,while the positive rates of HLA-B27 in the first-,second-,and third-degree relatives of AS patients were 44.31%,30.67%and 15.63%,respectively.(3)The results of regression analysis showed that the disease duration of AS patients was significantly correlated with qi deficiency constitution,the grading of sacroiliac arthritis was correlated with qi stagnation constitution,and age was correlated with blood stasis constitution(P＜0.05 or P＜0.01).The results indicated that disease duration and age were the important factors affecting the constitution types of AS patients,and disease duration was closely related to qi deficiency while age was closely related to blood stasis.Conclusion AS is a highly hereditary autoimmune disease,and its onset is associated with HLA-B27.Yang deficiency is the basic constitution type of AS,and damp-heat constitution is the main constitution type in the progression of AS(especially in the active stage of the disease).The prolongation of the disease will exacerbate the illness condition of AS and then the manifestations of qi deficiency will be more obvious.

Cryoablation therapy with explicit anti-tumor mechanisms and histopathological manifestations has a long history.A large number of clinical practice has shown that cryoablation therapy is safe and effective,making it an ideal tumor treatment method in theory.Previously,its efficacy and clinical application were constrained by the limitations of refrigerants and refrigeration equipment.With the development of the new generation of cryoablation equipment represented by argon helium knives,significant progress has been made in refrigeration efficien-cy,ablation range,and precise temperature measurement,greatly promoting the progression of tumor cryoablation technology.This consensus systematically summarizes the mechanism of cryoablation technology,indications for oral mucosal melanoma(OMM)cryotherapy,clinical treatment process,adverse reactions and management,cryotherapy combination therapy,etc.,aiming to provide reference for carrying out the standardized cryoablation therapy of OMM.

Objective:To investigate the dynamic trend of platelet（PLT）count and mean platelet volume（MPV）in children with severe community-acquired pneumonia（SCAP）in PICU and their correlation with prognosis.Methods:A retrospective study was conducted in 215 SCAP children who were admitted to the PICU of Beijing Children's Hospital Affiliated to Capital Medical University from January 2016 to December 2019.According to the disease outcome，the patients were divided into improvement group ( n=184) and unrecovered group ( n=31).The changes of PLT count and MPV at admission，on the 2nd，3rd，and 7th days of hospitalization and before discharge were observed，and the relationship between changes in PLT parameters and poor prognosis was analyzed. Meanwhile，the correlation between thrombocytopenia on admission and on the 7th day of hospitalization and prognosis was further explored. Results:The PLT count of improvement group at admission，on the 2nd，3rd，and 7th days of hospitalization and at discharge[(328±159, 329±137, 362±159, 439±168, 510±171)×10 9/L] were significantly higher than those of unrecovered group [(210±142, 207±152, 267±143, 260±162, 343±159)×10 9/L]（ P＜0.05）.Although the MPV of improvement group [(10.9±1.9)fL] on admission was significantly lower than that of the unrecovered group[(12.7±2.5) fL]（ P＜0.05），there was no significant difference in MPV between two groups on the 2nd，3rd，7th days of hospitalization and discharge（ P＞0.05）.In addition，compared with the admission，children in improvement group had significantly higher PLT count on the 7th day of hospitalization and before discharge（ P＜0.05），but there was no significant change in unrecovered group（ P＞0.05）.Compared with SCAP patients with thrombocytopenia at admission (PLT＜100×10 9/L)( n=22),those with thrombocytopenia on 7th day of hospitalization had a significant higher rate of non recovery( P＜0.05). Conclusion:The occurrence of thrombocytopenia on admission and after 7 days of hospitalization in children with SCAP is associated with poor prognosis.No significant increase or decrease in PLT count after 7 days of hospitalization is often indicative of poor prognosis.Dynamic monitoring of PLT parameter changes may help to better judge the prognosis of severe pneumonia.

Patients infected the coronavirus disease 2019 (COVID-19) present with asymptomatic or non-specific symptoms, such as fever, cough, dyspnea, fatigue, myalgia, headache, painful swallowing, diarrhea, loss of smell or taste disturbance. Some patients develop serious complications, such as acute respiratory distress syndrome, cardiac injury and secondary infections. PET/CT plays an important role in the evaluation, follow-up and monitoring of the outcome of oncological and inflammatory diseases. This article mainly summarizes the clinical applications of PET/CT in predicting the prognosis of COVID-19 infection, early detection of myocardial involvement, diagnosis of neurological complications by multiple molecular imaging, and identification of tumor axillary lymph node metastasis and inflammatory response after vaccination.