Study on the causes of drug shortage in Shanxi province and the construction of forewarning model / 中华医院管理杂志

Objective:To construct the forewarning model of drug shortage in Shanxi province, so as to realize the early prediction of drug shortage.Methods:According to the drug shortage of data of each monitoring station in Shanxi province, from the four dimensions of drug factors, policy attributes, supplier factors and demander factors, 14 factors were selected for grey correlation analysis, for example whether they were urgent drugs for women and children, shortage types, etc. The main factors affecting the degree of drug shortage were selected, and the early warning analysis model based on two-step cluster analysis method was established.Results:A total of six factors with the highest correlation with the degree of drug shortage were determined in this study, in order: whether they were urgent drugs for women and children, shortage types, low-price drugs, the number of moving annual total monitoring enterprises in sale in the current month, shortage reasons, and whether they were basic drugs. Based on the two-step cluster analysis, a model of drug shortage forewarning in Shanxi Province was established, which was divided into four optimal clusters and the warning level was determined.Conclusions:This study establishes the early warning model of drug shortage in Shanxi province, which is helpful to find the risk of drug shortage as soon as possible, objectively predict the risk level, and assist the drug regulatory department to realize layered implementation and collaborative response.

Classification of idiopathic inflammatory myopathies based on clinical manifestations and myositis-specific antibodies / 南方医科大学学报

OBJECTIVE@#To investigate the classification of idiopathic inflammatory myopathies (IIM) based on clinical manifestations and myositis- specific antibodies using cluster analysis.@*METHODS@#We retrospectively analyzed the data of patients with IIM admitted in Nanfang Hospital in 2015-2019. The clinical data of the patients including serum creatine kinase (CK), interstitial lung disease (ILD), cancer, and myositis-specific antibodies were collected for two-step cluster analysis to identify the distinct clusters of patients, whose clinical characteristics were subsequently analysed.@*RESULTS@#A total of 71 patients with IIM were included in this study, including 30 (42.3%) with polymyositis (PM), 20 (28.2%) with classic dermatomyositis (DM), 16 (22.5%) with amyopathic dermatomyositis (CADM), and 5 (7.0%) with immune-mediated necrotizing myopathy (IMNM). Two-step cluster analysis identified 3 distinctive subgroups: Cluster 1 of 15 (51.7%) patients characterized by rash, positive anti-MDA5 antibody and hypoproteinemia ( < 0.05) with normal or slightly elevated CK level, mainly corresponding to CADM; Cluster 2 of 4 (57.1%) patients with significantly elevated CK and positive anti-SRP antibody ( < 0.001) corresponding to IMNM; and Cluster 3 of 17 (48.6%) patients consisting primarily of patients with PM, characterized by positivity for anti- aminoacyl transfer RNA synthetases antibodies (=0.022) corresponding to antisynthetase syndrome (ASS).@*CONCLUSIONS@#Patients with IIM can be divided into 3 subgroups based on their clinical and serological characteristics (especially myositis-specific antibodies), and among them ASS may represent an independent IIM subgroup with unique clinical characteristics.

Study of the clinical phenotype of symptomatic chronic airways disease by hierarchical cluster analysis and two-step cluster analyses / 中华内科杂志

Objective To study the distinct clinical phenotype of chronic airway diseases by hierarchical cluster analysis and two-step cluster analysis.Methods A population sample of adult patients in Donghuamen community,Dongcheng district and Qinghe community,Haidian district,Beijing from April 2012 to January 2015,who had wheeze within the last 12 months,underwent detailed investigation,including a clinical questionnaire,pulmonary function tests,total serum IgE levels,blood eosinophil level and a peak flow diary.Nine variables were chosen as evaluating parameters,including pre-salbutamol forced expired volume in one second(FEV1)/forced vital capacity (FVC) ratio,pre-salbutamol FEV1,percentage of post-salbutamol change in FEV1,residual capacity,diffusing capacity of the lung for carbon monoxide/alveolar volume adjusted for haemoglobin level,peak expiratory flow (PEF) variability,serum IgE level,cumulative tobacco cigarette consumption (pack-years) and respiratory symptoms (cough and expectoration).Subjects' different clinical phenotype by hierarchical cluster analysis and two-step cluster analysis was identified.Results (1) Four clusters were identified by hierarchical cluster analysis.Cluster 1 was chronic bronchitis in smokers with normal pulmonary function.Cluster 2 was chronic bronchitis or mild chronic obstructive pulmonary disease (COPD) patients with mild airflow limitation.Cluster 3 included COPD patients with heavy smoking,poor quality of life and severe airflow limitation.Cluster 4 recognized atopic patients with mild airflow limitation,elevated serum IgE and clinical features of asthma.Significant differences were revealed regarding pre-salbutamol FEV1/FVC％,pre-salbutamol FEV1％ pred,postsalbutamol change in FEV1 ％,maximal mid-expiratory flow curve (MMEF)％ pred,carbon monoxide diffusing capacity per liter of alveolar(DLCO)/(VA)％ pred,residual volume(RV)％ pred,total serum IgE level,smoking history (pack-years),St.George' s respiratory questionnaire (SGRQ) score,acute exacerbation in the past one year,PEF variability and allergic dermatitis (P ＜ 0.05).(2) Four clusters were also identified by two-step cluster analysis as followings,cluster 1,COPD patients with moderate to severe airflow limitation;cluster 2,asthma and COPD patients with heavy smoking,airflow limitation and increased airways reversibility;cluster 3,patients having less smoking and normal pulmonary function with wheezing but no chronic cough;cluster 4,chronic bronchitis patients with normal pulmonary function and chronic cough.Significant differences were revealed regarding gender distribution,respiratory symptoms,pre-salbutamol FEV1/FVC％,pre-salbutamol FEV1 ％ pred,post-salbutamol change in FEV1 ％,MMEF％ pred,DLCO/VA％ pred,RV％ pred,PEF variability,total serum IgE level,cumulative tobacco cigarette consumption (pack-years),and SGRQ score (P ＜ 0.05).Conclusion By different cluster analyses,distinct clinical phenotypes of chronic airway diseases are identified.Thus,individualized treatments may guide doctors to provide based on different phenotypes.