By combing the physiological characteristics of wind and fire， the article makes it clear that wind and fire are evils， and external wind is easy to attack and even worse when it encounters fire； burnt and moving fire evils set off internal winds； and the incitement of each other can lead to the occurrence of palpitations. From the perspective of the theory of "wind and fire inciting each other"， the clinical diagnosis and treatment of palpitation is discussed， which clarifies that there is an internal and external distinction between wind and fire， and there is an internal and external distinction between the real and the imaginary， which should be carefully distinguished in the diagnosis and treatment of palpitation. In the treatment， wind medicine can be skillfully applied to drive away the wind evil to calm the internal and external， and it is also necessary to clearly identify the source of the fire evil and properly choose the corresponding treatment for the fire evil in order to extinguish the burnt fire. As the positive qi exists and the evil will not dry up， we should not forget to take care of the heart in the treatment. An example of a medical case is attached in order to provide new ideas for the clinical treatment of palpitation.

Objective:To explore the clinical characteristics of interleukin-6 (IL-6) and interleukin-8 (IL-8) in cerebrospinal fluid (CSF) of children with bacterial meningitis (BM) and provide reference for clinical diagnosis and treatment of BM.Methods:The clinical data of BM children hospitalized in Women and Children′s Medical Center Affiliated to Guangzhou Medical University from December 2019 to March 2022 were collected and retrospectively analyzed in this case series study.Cytokines in CSF of these children were detected at least twice during the treatment. t test, Mann-Whitney test or analysis of variance were carried out for statistical analysis. Results:There were 40 patients included in this study.The age of onset was 2(1, 8) months, ranging from 2 days to 8 years, and the length of time from onset to hospitalization was (15±17) days, ranging from 1 day to 69 days.The main symptoms at the onset were fever (40 cases, 100%), poor mental state (16 cases, 35.0%), convulsion (9 cases, 22.5%), and vomiting (9 cases, 22.5%).According to pathogens, the patients were divided into the Streptococcus agalactia group (GBS group, 9 cases), Streptococcus pneumoniae group (SP group, 9 cases), other bacteria group (9 cases), and unknown bacteria group (13 cases).The levels of cytokines in the CSF of BM children were increased, along with significantly elevated levels of IL-6 and IL-8 within 1 st week of BM, followed by the peak at 2 nd-3 rd weeks, and then levels of IL-6 and IL-8 presented an overall decreasing trend with the progression of BM.The level of IL-6 in CSF of 10 cases significantly decreased in the 4 th week of BM [within 2 weeks: 773.5(164.1, 1 781.2) ng/L vs. 4 th week: 10.8(2.2, 21.1) ng/L, P=0.005].Such statistical differences didn′t occur to the level of IL-8 [within 2 weeks 182.9(33.6, 657.7) ng/L vs. 4 th week: 92.9(22.6, 226.6) ng/L, P=0.303].After effective antibiotic therapy, 6 patients had elevated white blood cell count in CSF during the 4 th-20 th weeks, with or without repeating intermittent fever.Among them, 4 cases of GBS and 1 case of SP were negative for pathogens in CSF during the retest after treatment, and the levels of IL-6 and IL-8 [(149.1-4 218.6) ng/L and (124.2-1 890.3) ng/L, respectively] in CSF were elevated.Low-dose glucocorticoid was administered for anti-inflammatory treatment, with additional gamma globulin for 1 case and Ibuprofen instead for 1 case.Subsequently, the fever completely subsided.The white blood cell count in CSF decreased significantly ( P=0.024). Conclusions:The levels of IL-6 and IL-8 in CSF increase significantly in the acute phase of BM and generally decrease with the progression of BM.If they are still significantly elevated in the later course of BM, it should be noted that an intracranial hyperinflammatory response may occur, especially when the pathogenic bacteria are GBS or SP.

Objective To construct a postoperative lung infection preventive care program for lung cancer patients and carry out preliminary validation,so as to provide a reference basis that can be used in clinical practice.Methods Literature analysis was carried out to search domestic and international databases,guideline networks,and association websites,with a search timeframe of January 2011 to December 2021,to obtain relevant evidence,to construct a preliminary draft of a preventive care program for postoperative lung infections in patients with lung cancer,and to use the Delphi method of correspondence with experts from Guangdong Province,Henan Province,and Sichuan Province,September-December 2022,to determine the content of the program.Correspondence to determine the content of the program.In November-December 2023,15 thoracic surgery nurses and 15 lung cancer patients in a tertiary hospital in Shantou City were selected for the initial application of the program and evaluated the effectiveness of the program through the nurses'clinical significance,applicability,feasibility,and patient satisfaction.Results A total of 21 experts completed 2 rounds of correspondence.95.65％and 95.45％of questionnaires were retumed in the 2 rounds of correspondence;the authority coefficients of the experts were 0.941 and 0.948;the Kendall's harmony coefficients were 0.176 and 0.310;the coefficients of variation for each item in the 2nd round of correspondence were 0.04～0.25.The final draft of the program included 10 aspects and 37 measures,such as teamwork,health education,risk assessment,rehabilitation training,fluid management,oral manage-ment,airway management,nutritional management,pain management,line management,and other 10 areas with 37 measures.After the initial application of the program,100％of the nurses thought that the program was meaningful,87％of the nurses thought that the program was clinically applicable and feasible,and 100％of the patients indicated that they were satisfied with the program,of which 80％were very satisfied.Conclusion The constructed nursing program for preventing postoperative lung infection in lung cancer patients is scientific,relevant and feasible,and can provide references for clinical health care personnel to develop measures for preventing postoperative lung infection in lung cancer patients.

Objective:The results of the three lipid detection systems were compared to analyze their influence on risk stratification and clinical treatment in lipid management, especially the target goal cut-off point determination, and to find ways to reduce the impact on target goal determination of various lipid measurement system.Methods:A total of 196 serum samples with triglyceride TG <4.5 mmol/L were collected from people undergoing physical examinations and in-patients in the Second Xiangya Hospital of Central South University from August to October 2022. Triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) were directly detected with Hitachi-Woke (HW), Roche and Mindray detection systems, respectively. The non high-density lipoprotein cholesterol (non HDL-C) was calculated by formula (TC-HDL-C) and LDL-C (F-LDL-C) was calculated by Friedewald formula, and results from various methodology were compared. The coefficient of variation ( CV) of these six indicators derived from the three detection systems were calculated to evaluate the consistency of the obtained results from different venders. In addition, the Pearson correlation coefficient was analyzed to evaluate the correlation of each indicator among different systems. According to the Chinese Guidelines for Blood Lipid Management, samples were divided into groups with LDL-C levels of <1.4, 1.4-<1.8, 1.8-<2.6, 2.6-<3.4 and ≥3.4 mmol/L according to the recommended LDL-C levels for different risk stratification levels. The sample size and percentage of LDL-C test results from different systems in the same group were counted to evaluate the impact of LDL-C differences between systems on clinical decision-making of blood lipid management. The correction factor was calculated through two methods: (1) The average deviation of LDL-C between systems was estimated by EP9-A3 method; (2) Multiple linear stepwise regression was used to establish the regression model of LDL-C difference and related indexes between systems. The two correction factors were used to correct the deviation of LDL-C value obtained from various systems, and Chi-square test was used to compare the difference of LDL-C grouping consistency rate before and after correction. Result:The average CV values of TG, TC, LDL-C, F-LDL-C, HDL-C, and non HDL-C among the three detection systems were 4.84%, 1.92%, 11.96%, 3.81%, 5.82% and 2.61%, respectively. Correlation analysis showed that when comparing the three systems in pairs, except for LDL-C derived from HW and Roche′s, and Mindray and Roche′s LDL-C ( R 2=0.938 and 0.947), the R 2 of other indicators were all greater than 0.97. The consistency rates of the three systems on LDL-C and F-LDL-C were 51.0% (100/196) and 90.8% (178/196), respectively, according to the risk stratification standard values and the difference was statistically significant ( P<0.05). When comparing in pairs, the consistency rates of Roche and HW, Mindray and HW, Mindray and Roche system LDL-C grouping were 60.7% (119/196), 82.7% (162/196), and 54.1% (106/196), respectively. After adjusting for mean deviation, the group consistency rate of Roche and HW increased to 73.7%-79.4% ( P<0.05), and the group consistency rate of Roche and Mindray increased to 72.3%-79.0% ( P<0.05). After adjusting for difference regression model, the group consistency rate of Roche and HW increased to 82.5%-84.0%, and the group consistency rate of Roche and Mindray increased to 81.0%-89.2%. However, there was no significant change in the group consistency rate of Mindray and HW after adjusting for both correction methods ( P>0.05) .Conclusions:There are significant differences in LDL-C derived from different detection systems, and the consistency rate of grouping according to the lipid-lowering standard value is relatively low, which may affect clinical decision-making in lipid management. Adjusted by the correction factor, the consistency rate of grouping between Roche and HW, Roche and Mindray systems with large differences in LDL-C can be improved. Using the difference multiple linear regression model as a correction factor is superior to the average deviation.

OBJECTIVE: To explore the clinical characteristics and genetic etiology of a child with multiple pterygium syndrome (MPS). METHODS: A child with MPS who was treated at the Orthopedics Department of Guangzhou Women and Children's Medical Center Affiliated to Guangzhou Medical University on August 19, 2020 was selected as the study subject. Clinical data of the child was collected. Peripheral blood samples of the child and her parents were also collected. Whole exome sequencing (WES) was carried out for the child. Candidate variant was validated by Sanger sequencing of her parents and bioinformatic analysis. RESULTS: The child, an 11-year-old female, had a complain of "scoliosis found 8 years before and aggravated with unequal shoulder height for 1 year". WES results revealed that she has carried a homozygous c.55+1G>C splice variant of the CHRNG gene, for which both of her parents were heterozygous carriers. By bioinformatic analysis, the c.55+1G>C variant has not been recorded by the CNKI, Wanfang data knowledge service platform and HGMG databases. Analysis with Multain online software suggested that the amino acid encoded by this site is highly conserved among various species. As predicted with the CRYP-SKIP online software, the probability of activation and skipping of the potential splice site in exon 1 caused by this variant is 0.30 and 0.70, respectively. The child was diagnosed with MPS. CONCLUSION The CHRNG gene c.55+1G>C variant probably underlay the MPS in this patient.
Humans ; Child ; Female ; Abnormalities, Multiple/genetics* ; Malignant Hyperthermia/genetics* ; Skin Abnormalities/genetics* ; Heterozygote ; Mutation ; Receptors, Nicotinic/genetics*

The optimal antidepressant therapies for different patients have been identified mostly by trial and error. Selecting an effective treatment based on the specific biomarkers may be an important step toward personalized treatment of depression. Deep learning is a branch of machine learning, that is capable of processing high-dimensional and complex data.It automatically extracts and learns from large amounts of demographic, clinical symptoms, genomics and neuroimaging data. Researchers have been using deep learning algorithms to develop prediction model of anti-depressant response in order to guide clinicians to make a precise prescription for depression and further advance personalized treatment globally. This article reviews the application of deep learning in predicting the treatment outcomes of depression. Additionally, deep learning based on multi-omics data applied in treatment outcome's prediction is direction with prospects in the future.

Anxiety disorders are the most prevalent mental health condition.More and more studies have found that interoceptive sensitivity, such as the sensitivity of the body to a series of physiological activities such as heart rate, respiration, blood pressure and so on, is closely related to the susceptibility to anxiety disorders.So, understanding the role of interoception in the occurrence of anxiety disorders plays an important role in understanding the pathogenesis of the disease and guiding treatment.This article reviewed the pathogenesis of anxiety disorders, the interaction between increased interoceptive sensitivity and abnormal activation of the amygdala, which results in pathological anxiety, the insula also regulates emotional responses by regulating interoception.It is also associated with genes and neurotransmitters, which may be important biomarkers of anxiety disorders.At the same time, interoception is also associated with genes and neurotransmitters, which may also be important biomarkers of anxiety disorders.In terms of treatment, we can use respiratory therapy to regulate respiratory perception, apply rTMS to stimulate the relevant network of interoception, and use electroencephalography to reflect interoception biofeedback and other treatment methods to improve interoception, to alleviate anxiety symptoms.In conclusion, the abnormal sensitivity of interoception plays an important role in the occurrence of anxiety disorders.Currently, there are many therapeutic methods for the treatment of anxiety disorders based on interoception, but the relevant therapeutic mechanism is unclear.Therefore, future research needs to explore the mechanism of interoception in anxiety and explore the mechanism of related treatment.

OBJECTIVE: To explore the genetic basis for a girl featuring epilepsy, developmental delay and regression. METHODS: Clinical data of the patient was collected. Activities of hexosaminidase A (Hex A) and hexosaminidase A&B (Hex A&B) in blood leukocytes were determined by using a fluorometric assay. Peripheral blood samples were collected from the proband and six members from her pedigree. Following extraction of genomic DNA, whole exome sequencing was carried out. Candidate variants were verified by Sanger sequencing. RESULTS: Enzymatic studies of the proband have shown reduced plasma Hex A and Hex A&B activities. Genetic testing revealed that she has carried c.1260_1263del and c.1601G>C heterozygous compound variants of the HEXB gene. Her mother, brother and sister were heterozygous carriers of c.1260_1263del, while her father, mother, three brothers and sister did not carry the c.1601G>C variant, suggesting that it has a de novo origin. Increased eosinophils were discovered upon cytological examination of peripheral blood and bone marrow samples. CONCLUSION The compound heterozygous variants of c.1260_1263del and c.1601G>C of the HEXB gene probably underlay the Sandhoff disease in this child. Eosinophilia may be noted in infantile Sandhoff disease.
Child ; Eosinophilia/genetics* ; Female ; Genetic Testing ; Hexosaminidase A/genetics* ; Hexosaminidase B/genetics* ; Humans ; Male ; Mutation ; Pedigree ; Sandhoff Disease/genetics*

Early distinction of bipolar disorder (BD) from major depressive disorder (MDD) is difficult since no tools are available to estimate the risk of BD. In this study, we aimed to develop and validate a model of oxidative stress injury for predicting BD. Data were collected from 1252 BD and 1359 MDD patients, including 64 MDD patients identified as converting to BD from 2009 through 2018. 30 variables from a randomly-selected subsample of 1827 (70%) patients were used to develop the model, including age, sex, oxidative stress markers (uric acid, bilirubin, albumin, and prealbumin), sex hormones, cytokines, thyroid and liver function, and glycolipid metabolism. Univariate analyses and the Least Absolute Shrinkage and Selection Operator were applied for data dimension reduction and variable selection. Multivariable logistic regression was used to construct a model for predicting bipolar disorder by oxidative stress biomarkers (BIOS) on a nomogram. Internal validation was assessed in the remaining 784 patients (30%), and independent external validation was done with data from 3797 matched patients from five other hospitals in China. 10 predictors, mainly oxidative stress markers, were shown on the nomogram. The BIOS model showed good discrimination in the training sample, with an AUC of 75.1% (95% CI: 72.9%-77.3%), sensitivity of 0.66, and specificity of 0.73. The discrimination was good both in internal validation (AUC 72.1%, 68.6%-75.6%) and external validation (AUC 65.7%, 63.9%-67.5%). In this study, we developed a nomogram centered on oxidative stress injury, which could help in the individualized prediction of BD. For better real-world practice, a set of measurements, especially on oxidative stress markers, should be emphasized using big data in psychiatry.
Biomarkers/metabolism* ; Bipolar Disorder/metabolism* ; Depressive Disorder, Major/diagnosis* ; Early Diagnosis ; Humans ; Oxidative Stress