ObjectiveTo study the clinical features and pathogenesis of ophthalmoplegia in senile patients with diabetes, and access the possibility of its development.MethodsBesides routine ophthalmologic and ocular muscle examination, general and laboratory examinations were also done. Some patients were diagnosed also with the help of image processing.ResultsMonocular involvement happened in all 21 patients. 12 patients suffered from oculomotor nerve paralysis, 5 abducent nerve paralysis, 3 trochlearis nerve paralysis, and 1 compound nerve paralysis. Among these patients with complete oculomotor nerve panalysis, no papillary change appeared.Conclusions Microvascular pathologic change may be the pathogenetic basis of ophthalmoplegia for senile diabetic patients. Its prognosis is favorable if reasonable treatment is made.

With the increasing cost of drug development and clinical trials, it is of great value to make full use of all kinds of data to improve the efficiency of drug development and to provide valid information for medication guidelines. Model-based meta-analysis (MBMA) combines mathematical models with meta-analysis to integrate information from multiple sources (preclinical and clinical data, etc.) and multiple dimensions (targets/mechanisms, pharmacokinetics/pharmacodynamics, diseases/indications, populations, regimens, biomarkers/efficacy/safety, etc.), which not only provides decision-making for all key points of drug development, but also provides effective information for rational drug use and cost-effectiveness analysis. The classical meta-analysis requires high homogeneity of the data, while MBMA can combine and analyze the heterogeneous data of different doses, different time courses, and different populations through modeling, so as to quantify the dose-effect relationship, time-effect relationship, and the relevant impact factors, and thus the efficacy or safety features at the level of dose, time and covariable that have not been involved in previous studies. Although the modeling and simulation methods of MBMA are similar to population pharmacokinetics/pharmacodynamics (Pop PK/PD), compared with Pop PK/PD, the advantage of MBMA is that it can make full use of literature data, which not only improves the strength of evidence, but also can answer the questions that have not been proved or can not be answered by a single study. At present, MBMA has become one of the important methods in the strategy of model-informed drug development (MIDD). This paper will focus on the application value, data analysis plan, data acquisition and processing, data analysis and reporting of MBMA, in order to provide reference for the application of MBMA in drug development and clinical practice.

【Objective】 To analyze the clinical characteristics of patients with coronavirus disease 2019 (COVID-19) in Xi’an so as to investigate the relationship between the dynamic changes of lymphocytes and the disease progression. 【Methods】 We retrospectively analyzed the clinical data of 15 patients with COVID-19 in The First Affiliated Hospital of Xi’an Jiaotong University from January 22 to February 16, 2020. 【Results】 Among the 15 patients with COVID-19, 8 were males and 7 were females, aged from 22 to 89 years. There were 12 ordinary cases (80%), 1 severe case (6.67%), and 2 critical cases(13.33%). There were 6 groups of family clusters.Most of the patients (14/15, 93.3%) had fever of different degrees. The average time from illness onset to admission was 2.80±1.66 days, and the average time from illness onset to diagnosis was 2.83±2.29 days. The main accompanying symptoms were dry cough (8/15, 53.33%) and shortness of breath (4/15, 26.67%). Nine patients (60%) who had low lymphocyte counts at admission, including of all of the critically ill patients (1 severe case and 2 critical cases) and 6 (6/12, 50%) ordinary patients. Lymphocyte counts in the ordinary cases increased gradually, but fluctuated in the severely ill patients. They were always at low level, or even decreased overall in critical cases. 【Conclusion】 In Xi’an City, COVID-19 mostly occurred in family clusters. Lymphocyte counts were reduced in most patients, especially in critically ill (severe and critical) ones. The lymphocyte count at admission and its kinetics during therapy may be an important predictor for the severity and prognosis of the disease.