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.

Economic development drives the increase of endogenous demand,and Internet medicine integrates regional medical resources,expanding the fairness of the public's access to medical and health services.However,it is also accompanied an ethical crisis with the development of technology,which requires continuous standardization and practice.Starting from the principle of medical fairness,this paper sorted out the main advantaged characteristics of the development of Internet medicine from the aspects of data fairness,cost equity,opportunity equity,and educational equity.The existing ethical problems of Internet medicine were explored including unfair protection of ethical review mechanisms,unfair data collection of scientific and technological subjects,unfair distribution of benefits and risks,and unfair utilization of Internet medical resources.It also proposed the governance paths of compacting the subject responsibility,perfecting review and supervision,improving the sharing mechanism,bridging the digital divide,strengthening risk prevention,protecting the citizens'rights and interests,strengthening education and guidance,and increasing grassroots investment.

Objective:This study aimed to analyze the focuses and shortcomings of the current medical achievements transformation policy, and to put forward references and suggestions for the subsequent formulation of medical science and technology innovation achievement transformation policy.Methods:46 policy texts were retrieved from Peking University Magic Treasure, Law Star, and other related websites of the State Council, the National Health Commission, the State Administration of Traditional Chinese Medicine, and other relevant ministries and commissions, and the policy clauses were systematically quantitatively analyzed from three dimensions of supply, demand, and environment using policy tool theory.Results:The number of policy documents issued from 2015 to 2022 showed a fluctuating increase. There were 25 normative policies, accounting for 54.3%, and 21 guiding and operational policies, accounting for 45.7%. Environmental policies accounted for 74.9%, while demand-oriented policies accounted for 3.1% among the 587 codes.Conclusions:It is suggested to reduce the dependence on environment-based policy tools, optimize the distribution structure of sub-categories such as tax incentives and financial support, strengthen the support of supply-based policy tools to promote the high-quality development of the transformation of medical scientific and technological achievements, increase the driving role of demand-based policies to enhance the appropriate allocation of clinical demand, further optimize the policy system for the transformation of medical scientific and technological achievements, and strengthen the supporting measures of relevant special policies.

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

Objective:To determine the correlation between the diabetes mellitus control and periodontitis.Methods:This study was a cross-sectional survey using stratified system sampling model design. The target population was the patients with diabetes investigated from May to July 2018 in Huangpu District of Shanghai. In the present study, severe periodontitis was defined as at least at two sites in different quadrants with probing depth (PD)≥6 mm and clinical attachment loss (CAL)≥ 5 mm. Edentulous induced by periodontitis were also classified as severe periodontitis and the others were classified as non-severe periodontitis subjects. Diabetes control levels were divided into the following three groups: poorly controlled group [glycated hemoglobin (HbA1c)>7.5% and fasting blood glucose (FPG)>7.0 mmol/L], well controlled group (6.5%≤HbA1c≤7.5％ or 6.1 mmol/L≤FPG≤7.0 mmol/L) and ideally controlled group (HbA1c<6.5% and FPG<6.1 mmol/L). SPSS 25.0 was used for statistical analysis. Chi square test was used for demographic data and frequency distribution, α=0.05, two-sided test. Ordinal regression model was used for PD and diabetes control status to balance confounding factors (including age, gender, education and smoking status). After matching the propensity scores between severe periodontitis group and non-severe periodontitis group, logistic regression analysis was used to analyze the level of diabetes control and periodontitis.Results:A total of 5 220 adults over the age of 18 with a medical history of diabetes participated in the survey, of which 3 064 subjects with diabetes mellitus type 2 (T2DM) who were given both oral and laboratory examinations and were included in this study. Statistics showed that the prevalence of moderate and severe periodontitis was 10.57% (324/3 064). In the severe periodontitis group, 79.01% (256/324) of the subjects were over 65 years old, 55.56% (180/324) were male, 58.33% (189/324) had lower education level than high school level, and 21.91% (71/324) were smokers, which were significantly higher than those in the non-severe periodontitis group ( P<0.01). In different T2DM status groups, the percentage of severe periodontitis increased with the aggravation of T2DM status. In severe periodontitis group, the proportion of patients with poor glycemic control was higher. T2DM patients with poor glycemic control accounted for 68.52% (222/324) in severe periodontitis group, which was significantly higher than the proportion of non-severe periodontitis group of 60.99% (1 671/2 740) ( P<0.05). The regression coefficient of PD was 0.191, and PD had a significant negative effect on the level of blood glucose ( P<0.01). There was a significant positive correlation between diabetes glycemic control and severe periodontitis ( OR=2.800, P<0.05). Conclusions:In Huangpu District of Shanghai, among T2DM patients, the age of severe periodontitis group was higher than that of non-severe periodontitis group, most of them were male, with lower education level and higher proportion of smoking. The severity of diabetes was related to periodontitis and the proportion of severe periodontitis was higher in patients with poor glycemic control.

Objective:To investigate the clinicopathological features and differential diagnosis of metastatic tumors in the lung.Methods:The clinicopathological data of 226 metastatic tumors in the lung were collected at Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, from January 2014 to December 2018, and the pathomorphological characteristics were analyzed.Results:There were 84 males and 142 females, with an age range from 13 to 77 years. There were 122 patients with multiple pulmonary nodules and 104 patients with solitary pulmonary nodule. The tumors of the highest frequencies were colorectal cancer ( n=59), followed by trophoblast tumor ( n=44), kidney cancer ( n=31), breast cancer ( n=20), cervix cancer ( n=14), and urinary urothelium cancer ( n=8). The time from the diagnosis of primary tumors to metastasis and the status of surgical treatment varied by tumor origin. The morphology of metastatic lung tumors overlapped with that of the primary tumors to some extent. The relative specific morphological characteristics and the presence of carcinoma in situ surrounding the tumors should be carefully searched for to confirm the tumor origin. The metastatic tumors of the lung had morphological characteristics, immunohistochemical TTF1 (-) and tumor of various sources, while the primary tumor differentiation had relatively specific antibodies: colorectal cancer CK20 (+), CDX2 (+), CK7 (-); malignant trophoblastic tumor, HCG (+); renal clear cell carcinoma CD10 (+), vimentin (+), CK7 (-); breast cancer, GATA3 and ER (+); cervical cancer, p16 (+); urothelial carcinoma, CK20, p63 and GATA3 (+). Conclusions:There is overlap between pulmonary metastatic tumor and primary tumor in morphology. Therefore, the diagnosis should be made by combining clinical history, pathological morphology and immunophenotypic characteristics.

Neuroimmune system may be involved in the pathological process of bipolar disorder (BD), but the essential association is not fully understood. Accumulating evidence has shown that BD involves the activation of immune cells and the release of inflammatory substances in the central nerve system (CNS). Meanwhile, neuroimmune responses also interact with other hypothesis of the etiology of BD that are widely recognized, such as neurotransmitter systems, neuroendocrine systems, neurotrophic factors, and oxidative stress. Simultaneously, related genes and immune changes in peripheral blood vary with it. Overall, neuroimmunity may play an important role in the pathogenesis of BD, and the inflammatory cytokines, especially interleukin-6 and tumor necrosis factor-alpha, have potential value for the clinical diagnosis and prognosis of BD, as well as predicting the therapeutic effects of drugs. Large-scale studies are needed to extend the evidence on neuroimmunity in BD, and to examine its clinical value for applications such as early prediction and treatment.

Objective To analyze the risk factors of socio-demographic and clinical characteristics related to anxious symptoms in bipolar depression patients(BDP).Methods This was a secondary analysis of data from the Diagnostic Assessment Service for People with Bipolar Depression in China(DASP)from September 1,2010 to February 28,2011.According to the criterion that comorbid anxiety or not, BDP(n=306)were divided into comorbid anxiety group(n =200)(65.4％)and without anxiety group(n =106)(34.6％).Further analysis for risk factors of anxious symptoms in BDP was performed by the multivariate logistic regression analysis.Results BDP with anxiety were younger(35.10± 11.09), younger at illness onset(27.93-± 10.04), ruore male(t =4.603, P＜0.05), more lifetime episodes(3.21 ± 3.77), frequently episodes(t =17.328,P＜0.05),inducement onset(t=14.859,P＜0.05)and more seasonal episodes(t=8.300,P＜0.05)compared with BDP without anxiety.Logistic regression analysis showed that inducement onset(OR=5.023)and episodes frequency(OR=10.852)was significantly associated with anxious symptom(P＜0.05).Conclusion The finding indicates that postpartum onset and depressive episodes frequency may be risk factors of bipolar depression with anxiety.

Objective To explore the attempted suicide risk factors of socio-demographic and clinical charac-teristics in major depressive disorder patients with atypical features (e.g. increased appetite, weight gain and greater time spent sleeping). Methods This was a secondary analysis of the data from the Diagnostic Assessment Service for People with Bipolar Disorders in China (DASP), which was initiated by the Chinese Society of Psychiatry (CSP) and carried out in 13 major mental health centers in China. Totally 179 patients were diagnosed as atypical major depres-sive disorder patients in all 1172 major depressive disorder patients using Diagnostic and Statistical Manual of Mental Disorder, Fourth Edition (DSM-Ⅳ) by psychiatrists. Suicide attempters and nonattempters were grouped base on the interview results of suicidality module of the Mini International Neuro-psychiatric Interview (MINI). Multiple logistic regression were used to assess association between independent variables and attempted suicide in major depressive disorder patients with atypical features. Results The rater of attempted snicide was 23.5% (42/179) of atypical major depressive disorder patients reported prior or current attempted suicide. Compared to nonattempters, attempters had higher levels of suicidal ideation, postpartum depressive episodes, and the use of antipsychotic, mood stabilizers and benzodiazepines (P<0.05). Logistic regression analysis showed that number of admissions (OR=1.73, 95% CI: 1.093~2.740) and depressive episodes with suicidal ideation (OR=3.90, 95%CI: 1.506~10.092) were significantly associat-ed with attempted suicide in atypical unipolar depression patients (P<0.05). Conclusions High number of admissions and high levels of suicidal ideation may be considered as potential risk factors to identify atypical unipolar depression patients at risk for future suicidal behavior.

Objective To analyze the risk factors of socio-demographic and clinical characteristics related to sui?cidal attempt in major depressive disorder (MDD) patients with anxious characteristics. Methods Based on the anxious module of Mini International Neuropsychiatric Interview (MINI), a total of 728 anxious MDD patients from 13 major men?tal health centers in China were classified as suicidal and non-suicidal attempt groups. Further analyses regarding risk factors of suicidal attempt in anxious MDD patients were performed by the multivariate logistic regression analysis. Re?sults Among the 728 patients with anxious MDD analyzed, 135 (18.5%) of them had suicidal attempt and 593 (81.5%) had non-suicidal attempt. Compared to the non-suicidal attempt group, patients with suicidal attempt had significantly earlier age onset[(32.3 ± 11.9) vs. (35.3 ± 13.1)], more lifetime depression episodes (median:2 vs. 2), more number of ad?missions (median: 1 vs. 0), more frequent depressive episodes (14.8% vs. 7.4%), more atypical characteristics (25.9%vs.15.0%), more suicidal ideation (78.5%vs. 50.3%) and more antidepressant use (81.5%vs. 71.2%). Logistic regression analysis showed that number of admissions (OR=1.18, 95%CI:1.02~1.37), frequent depressive episodes (OR=2.10, 95%CI:1.14~3.68), depressive episodes with suicidal ideation (OR=3.55, 95%CI:2.28~5.54) were associated with suicidal at?tempt in MDD patients with anxious characteristics (P<0.05). Conclusions More number of admissions, more frequent depressive episodes, comorbid suicidal ideation may be risk factors of suicidal attempt in anxious MDD patients.