Integrated diagnosis,treatment and whole-course management model of major depressive disorder(MDD)is an integrated drug-psychological-physical comprehensive treatment model based on rapid biological-psychological-soci...Integrated diagnosis,treatment and whole-course management model of major depressive disorder(MDD)is an integrated drug-psychological-physical comprehensive treatment model based on rapid biological-psychological-social evaluation for treating patients with major depressive disorder.This paper comprehensively evaluates the clinical efficacy and biochemical indexes of patients,and carries out symptom evaluation,problem classification,disease diagnosis and etiological analysis of visitors from the three dimensions about physiology,psychology and society.Then,according to the symptoms and causes of different dimensions,this paper formulates personalized drug,psychological and physical therapy programs,and constantly optimizes and adjusts the treatment plan in the treatment process,so as to cure both the symptoms and the root causes,providing a reliable strategy for the treatment of clinical MDD,and establishing a standardized characteristic model for further promotion and application of this technology.At present,the project has been used in the member units of Taihe Medical Group and Shiyan City and its surrounding areas,the market response is good,and will be gradually promoted to the whole country in the later stage.展开更多
Background:Dermatomyositis-associated interstitial lung disease(DM-ILD)represents a severe and insidious complication of dermatomyositis(DM).The study aimed to investigate the association between DM-ILD and arterial b...Background:Dermatomyositis-associated interstitial lung disease(DM-ILD)represents a severe and insidious complication of dermatomyositis(DM).The study aimed to investigate the association between DM-ILD and arterial blood gas indices,serum ion levels,and the timing of interstitial lung disease onset,with the goal of identifying potential predictors for DM-ILD.Methods:The investigation involved the collection of basic data from 89 patients with DM hospitalized at the Chinese PLA General Hospital between January 2019 and April 2022,and 43 normal control patients hospitalized for physical examinations during the same period.Analyses were conducted to explore the relationship between DM-ILD,arterial blood gas indices,disease duration,and serum ions.A regression model to predict DM-ILD was developed using these indices,and a receiver operating characteristic curve was generated.Results:Significant differences were observed in pH and PaO2 between the control group and the disease group(p<0.05).The DM group exhibited higher levels of pH,actual bicarbonate,and base excess(BE)compared with the control group.In contrast,pH and BE levels were lower in the DM-ILD group than in the DM group,with these differences being statistically significant(p<0.05).Interstitial lung disease was correlated with the duration of the disease and pH levels(p<0.05).The cutoff values for age,disease duration,pH,and Cl^(-)were 55.5 years,5.5 years,7.432,and 101.5 mmol/L,respectively.The model demonstrated a prediction sensitivity and specificity for DM-ILD of 0.809 and 0.722,respectively,with an area under the curve of 0.809.Conclusion:Arterial blood gas analysis and serum Cl^(-)levels may assist in predicting DM-ILD.A combined monitoring approach involving arterial blood gas pH,disease duration,age,and serum Cl^(-)levels could enhance the accuracy of DM-ILD predictions and hold significant clinical evaluation potential.展开更多
基金Supported by Grants from the National Key R&D Program of China (2018YFC1314600)the 2021 Shiyan City Guidance Project (21Y33)
文摘Integrated diagnosis,treatment and whole-course management model of major depressive disorder(MDD)is an integrated drug-psychological-physical comprehensive treatment model based on rapid biological-psychological-social evaluation for treating patients with major depressive disorder.This paper comprehensively evaluates the clinical efficacy and biochemical indexes of patients,and carries out symptom evaluation,problem classification,disease diagnosis and etiological analysis of visitors from the three dimensions about physiology,psychology and society.Then,according to the symptoms and causes of different dimensions,this paper formulates personalized drug,psychological and physical therapy programs,and constantly optimizes and adjusts the treatment plan in the treatment process,so as to cure both the symptoms and the root causes,providing a reliable strategy for the treatment of clinical MDD,and establishing a standardized characteristic model for further promotion and application of this technology.At present,the project has been used in the member units of Taihe Medical Group and Shiyan City and its surrounding areas,the market response is good,and will be gradually promoted to the whole country in the later stage.
文摘Background:Dermatomyositis-associated interstitial lung disease(DM-ILD)represents a severe and insidious complication of dermatomyositis(DM).The study aimed to investigate the association between DM-ILD and arterial blood gas indices,serum ion levels,and the timing of interstitial lung disease onset,with the goal of identifying potential predictors for DM-ILD.Methods:The investigation involved the collection of basic data from 89 patients with DM hospitalized at the Chinese PLA General Hospital between January 2019 and April 2022,and 43 normal control patients hospitalized for physical examinations during the same period.Analyses were conducted to explore the relationship between DM-ILD,arterial blood gas indices,disease duration,and serum ions.A regression model to predict DM-ILD was developed using these indices,and a receiver operating characteristic curve was generated.Results:Significant differences were observed in pH and PaO2 between the control group and the disease group(p<0.05).The DM group exhibited higher levels of pH,actual bicarbonate,and base excess(BE)compared with the control group.In contrast,pH and BE levels were lower in the DM-ILD group than in the DM group,with these differences being statistically significant(p<0.05).Interstitial lung disease was correlated with the duration of the disease and pH levels(p<0.05).The cutoff values for age,disease duration,pH,and Cl^(-)were 55.5 years,5.5 years,7.432,and 101.5 mmol/L,respectively.The model demonstrated a prediction sensitivity and specificity for DM-ILD of 0.809 and 0.722,respectively,with an area under the curve of 0.809.Conclusion:Arterial blood gas analysis and serum Cl^(-)levels may assist in predicting DM-ILD.A combined monitoring approach involving arterial blood gas pH,disease duration,age,and serum Cl^(-)levels could enhance the accuracy of DM-ILD predictions and hold significant clinical evaluation potential.