To evaluate the incidence, type, and risk factors associated with adverse drug reactions (ADRs) among patients with coronavirus disease 2019 (COVID‐19) by Hospital Pharmacovigilance System (CHPS). A retrospective analysis was performed on 217 patients with COVID‐19 admitted to the First Hospital of Changsha in China, from January 17, 2020, to February 29, 2020. The active monitoring model in CHPS was used to detect ADR signals of the hospital information system. The risk factors for the ADRs were classified using the World Health Organization‐Uppsala Monitoring Centre (WHO‐UMC) system. Univariate and multivariate logistic regressions were carried out to analyze the risk factors of ADRs. Our results showed that the prevalence of ADRs was 37.8% in the patients, which was predominated by drug‐induced gastrointestinal disorders and liver system disorders (23.0% vs. 13.8%). The ADR could be explained by the use of lopinavir/ ritonavir and umifenovir by 63.8% and 18.1%, respectively. There were 96.8% of ADRs that occurred within 14 days of hospitalization. Multivariable analysis showed that length of stay (odds ratio (OR): 2.02; 95% confidence interval (CI) 1.03–3.96; P = 0.04), number of drugs used in the hospital (OR: 3.17; 95% CI 1.60–6.27; P = 0.001) and underlying basic diseases (OR: 2.07; 95% CI 1.02–4.23; P = 0.04) were independent risk factor for ADRs in the patients. Together, the incidence of ADRs was significantly high during the treatment period. Moreover, the active monitoring of the CHPS system reflected ADRs during COVID‐19 treatment in the real world, which provided reference for safe medication in the clinic.

Background Clinical characteristics of patients with the coronavirus disease 2019 (COVID-19) may present differently within and outside the epicenter of Wuhan, China. More clinical investigations are needed. Objective The study was aimed to describe the clinical characteristics, laboratory parameters, and therapeutic methods of COVID-19 patients in Hunan, China. Setting The First Hospital of Changsha, First People's Hospital of Huaihua, and the Central Hospital of Loudi, Hunan province, China. Methods This was a retrospective multi-center case-series analysis. Patients with confirmed COVID-19 diagnosis hospitalized at the study centers from January 17 to February 10, 2020, were included. The following data were obtained from electronic medical records: demographics, medical history, exposure history, underlying comorbidities, symptoms, signs, laboratory findings, computer tomography scans, and treatment measures. Main outcome measure Epidemiological, clinical, laboratory, and radiological characteristics and treatments. Results A total of 54 patients were included (51 had the common-type COVID-19, three had the severe-type), the median age was 41, and 52% of them were men. The median time from the first symptoms to hospital admission was seven days. Among patients with the common-type COVID-19, the median length of stay was nine days, and 21 days among patients with severe COVID-19. The most common symptoms at the onset of illness were fever (74.5%), cough (56.9%), and fatigue (43.1%) among patients in the common-type group. Fourteen patients (37.8%) had a reduced WBC count, 23 (62.2%) had reduced eosinophil ratio, and 21 (56.76%) had decreased eosinophil count. The most common patterns on chest-computed tomography were ground-glass opacity (52.2%) and patchy bilateral shadowing (73.9%). Pharmacotherapy included recombinant human interferon α2b, lopinavir/ritonavir, novaferon, antibiotics, systematic corticosteroids and traditional Chinese medicine prescription. The outcome of treatment indicated that in patients with the common-type COVID-19, interferon-α2b, but not novaferon, had some benefits, antibiotics treatment was not needed, and corticosteroids should be used cautiously. Conclusion As of February 10, 2020, the symptoms of COVID-19 patients in Hunan province were relatively mild comparing to patients in Wuhan, the epicenter. We observed some treatment benefits with interferon-α2b and corticosteroid therapies but not with novaferon and antibiotic treatment in our study population.

ObjectiveChronic diseases are characterized by high incidence, long-term medication, and complex types of medication. There are also many corresponding medication therapy management (MTM) applications on the market, such as iCarea, and Medisafe. However, the existing research mainly focuses on how to choose high-quality MTM applications, and few researchers consider the expectations of MTM applications from potential users. The aims of this study were to investigate the demand, attitude, and expectations of the Chinese patients for the MTM applications to support.MethodsFrom August 2019 to December 2019, we created a questionnaire to have knowledge of user needs, preferences, and expectations for MTM applications among 302 chronic patients in Hunan, Guangdong, and other provinces in China. Logistic regression analysis was performed to analyze the risk factors of affecting patients' attitudes toward MTM applications. Then, respondents' expectations and preferences for MTM applications were statistically analyzed. The survey data were merged to provide information for the design of targeted chronic disease MTM applications.ResultsA total of 260 (86.09%) out of 302 patients the respondents were willing to use the MTM applications of chronic disease. The independent influencing factors for using the MTM applications were long-term medication history (OR = 4.45, P < 0.001), willing to learn about medicine knowledge (OR = 3.01, P = 0.04), and wanting to get more professional medication knowledge via Internet (OR = 2.86, P = 0.005). It was worth noting that among those willing to use MTM applications, 55.00% of respondents were willing to use the WeChat applet for MTM, while only 23.46% of respondents preferred other applications. As to the more prevalent WeChat applet for MTM, the majority of participants expected the inclusion of useful modules, such as medication log (62.81%), medication reminder (62.81%), and medication recommendations (57.79%).ConclusionThe participants are willing to use MTM applications of chronic disease, with a preference for the WeChat applet. Patients tended to use MTM applications if they had a long-term medication history or a desire for medical knowledge, especially if they want to get more professional medication knowledge via the Internet. Participants are expected to include in the WeChat applet as medication logs, medication reminders, and medication recommendations which should be taken into serious account for the further development of MTM applications.