Yawen Jiang

Bio: Yawen Jiang is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Medicine & Cost effectiveness. The author has an hindex of 6, co-authored 32 publications receiving 191 citations. Previous affiliations of Yawen Jiang include Amgen & University of Southern California.

Effectiveness of Inactivated COVID-19 Vaccines Against Illness Caused by the B.1.617.2 (Delta) Variant During an Outbreak in Guangdong, China

Abstract: Real-world evidence on inactivated COVID-19 vaccines against the SARS-CoV-2 B.1.617.2 (Delta) variant is limited. The authors of this cohort study analyzed vaccination, surveillance, screening, tracing, and quarantine data to determine the effectiveness of inactivated COVID-19 vaccines against infections, pneumonia, and severe or critical illness caused by the Delta variant.

Estimating the Impact of Adherence to and Persistence with Atypical Antipsychotic Therapy on Health Care Costs and Risk of Hospitalization

Abstract: Study Objective To estimate the impact of adherence to and persistence with atypical antipsychotics on health care costs and risk of hospitalization by controlling potential sources of endogeneity. Design Retrospective cohort study using medical and pharmacy claims data. Data Source Humana health care insurance database. Patients A total of 32,374 patients with a diagnosis of schizophrenia or bipolar disorder and who had a prescription for noninjectable atypical antipsychotics (aripiprazole, asenapine, clozapine, iloperidone, lurasidone, olanzapine, paliperidone, quetiapine, risperidone, or ziprasidone), after a washout period of at least 180 days during which there was no use of any atypical antipsychotics, between January 2007 and June 2013. Measurements and Main Results The effects of adherence (proportion of days covered by all atypical antipsychotic prescription fills) to and persistence (time from initiation to discontinuation of therapy) with atypical antipsychotics on outcomes (all-cause total health care costs, medication costs, medical services costs, and inpatient admissions) were examined. To exclude potential bias due to mutual causality between drug use patterns and health care utilization, the effects of adherence and persistence measured in the first year on outcomes measured in the second year were investigated. Instrumental variable regressions using reimbursement rate and mail order as instrumental variables were conducted to correct potential endogeneity due to omitted variable bias. Being adherent decreased total costs by $19,497 (p<0.05), increased medication costs by $8194 (p<0.001), decreased medical services costs by $27,664 (p<0.001), and reduced hospitalization risk by 27% (p<0.001). Being persistent decreased individual total costs by $23,927 (p<0.05), increased medication costs by $10,278 (p<0.001), and decreased medical services costs by $34,178 (p<0.001). We could not identify a significant association between persistence and the risk of hospitalization. Conclusion Good adherence to and persistence with atypical antipsychotics led to lower total costs than poor adherence and persistence. Thus efforts should be made to improve adherence and persistence in patients taking atypical antipsychotics.

Effectiveness of remdesivir for the treatment of hospitalized COVID-19 persons: A network meta-analysis.

Abstract: Several randomized clinical trials (RCTs) that investigated the effectiveness of remdesivir for the treatment of coronavirus disease-2019 (COVID-19) have generated inconsistent evidence. The present study aimed to synthesize available RCT evidence using network meta-analyses (NMAs). Both blinded and open-label RCTs in PubMed database from inception to 7 June 2020 that contained "remdesivir", "Covid-19", and "trial" in the abstracts conducted on hospitalized COVID-19 persons were identified and screened. The studies must have at least one remdesivir arm and evaluated one of the pre-specified outcomes. The outcomes were clinical improvement between days 10 to 15 after randomization and clinical recovery during the follow-up period. The identified literature was supplemented with relatively recent studies that were known to the researchers if not already included. Frequentist NMAs with random effects were conducted. Both 10-day and 5-day remdesivir regimens were associated with higher odds of clinical improvement (odds ratio [OR] of 10-day regimen: 1.35, 95% confidence interval [CI], 1.09-1.67); OR of 5-day regimen: 1.81, 95% CI, 1.32-2.45, and higher probabilities of clinical recovery (relative risk [RR] of 10-day regimen: 1.24, 95% CI, 1.07-1.43; RR of 5-day regimen: 1.47, 95% CI, 1.16-1.87 compared with placebo. Remdesivir may have clinical benefits among hospitalized COVID-19 persons.

A Retrospective Cohort Study of Acute Kidney Injury Risk Associated with Antipsychotics.

Abstract: A recent large database analysis raised concerns of potential acute kidney injury (AKI) risk associated with antipsychotics. However, whether individual atypical and typical antipsychotics are associated with differential AKI risks has not been investigated. The current study compared the risks of AKI and known causes of AKI associated with a broad range of atypical and typical antipsychotics. This retrospective cohort analysis used January 2007–June 2013 US nationwide Humana claims data to define episodes of antipsychotic drug therapy for patients with schizophrenia and bipolar disorder. Study drugs were aripiprazole, fluphenazine, haloperidol, olanzapine, quetiapine, risperidone, and ziprasidone. Study outcomes were hospitalizations with AKI, and known causes of AKI, i.e., hypotension, acute urinary retention, neuroleptic malignant syndrome/rhabdomyolysis, and pneumonia. AKI was the primary outcome of the study. Cox regressions using haloperidol as the baseline comparator were used to estimate the impact of alternative antipsychotics on the risks of study adverse events following the initiation of treatment. The Cox models controlled for treatment history, comorbidities, and concomitant drug use in the prior 6 months. They also controlled for patient demographics and dose of current treatment. The overall incidence of AKI was 25.0 per 1000 person-years. According to our multivariate regression results, the risk of AKI was significantly increased in patients taking olanzapine [hazard ratio (HR) 1.344, 95% confidence interval (CI) 1.057–1.708], quetiapine (HR 1.350, 95% CI 1.082–1.685), and ziprasidone (HR 1.338, 95% CI 1.035–1.729) relative to haloperidol. Aripiprazole (HR 1.152, 95% CI 0.908–1.462) and risperidone (HR 1.147, 95% CI 0.923–1.426) had insignificantly higher risks of AKI compared with haloperidol, whereas fluphenazine (HR 0.729, 95% CI 0.483–1.102) had an insignificantly lower risk of AKI. When compared between drug classes, atypical antipsychotics had a significantly higher risk of AKI (HR 1.313, 95% CI 1.083–1.591) than typical antipsychotics. Antipsychotics are associated with differential AKI risks, with several atypical antipsychotics having higher risks than haloperidol. However, the overall incidence of AKI was moderate, and AKI risk should only raise concern for clinicians with elderly patients or patients who are vulnerable to kidney disease.

Adults with type 1 diabetes: Partner relationships and outcomes:

Abstract: Health outcomes of adults with type 1 diabetes may be affected by relationship status and quality. Our objective was to examine associations between relationship status, relationship factors, and outcomes in adults with type 1 diabetes. N = 1660 participants completed surveys measuring relationship satisfaction and perceived partner support style (active engagement, protective buffering, over-protection). Differences in glycemic control and adherence for those married/partnered versus not were insignificant. Higher relationship satisfaction, and having an engaged, not over-protective, partner was associated with better glycemic control and self-care. Helping partners support patients, avoiding over-protection, may enhance relationship and diabetes-related patient outcomes for adults with type 1 diabetes.

Type 1 diabetes

Abstract: Summary Type 1 diabetes is a chronic autoimmune disease characterised by insulin deficiency and resultant hyperglycaemia. Knowledge of type 1 diabetes has rapidly increased over the past 25 years, resulting in a broad understanding about many aspects of the disease, including its genetics, epidemiology, immune and β-cell phenotypes, and disease burden. Interventions to preserve β cells have been tested, and several methods to improve clinical disease management have been assessed. However, wide gaps still exist in our understanding of type 1 diabetes and our ability to standardise clinical care and decrease disease-associated complications and burden. This Seminar gives an overview of the current understanding of the disease and potential future directions for research and care.

Economic impact of medication non-adherence by disease groups: a systematic review

Abstract: Objective To determine the economic impact of medication non-adherence across multiple disease groups. Design Systematic review. Evidence review A comprehensive literature search was conducted in PubMed and Scopus in September 2017. Studies quantifying the cost of medication non-adherence in relation to economic impact were included. Relevant information was extracted and quality assessed using the Drummond checklist. Results Seventy-nine individual studies assessing the cost of medication non-adherence across 14 disease groups were included. Wide-scoping cost variations were reported, with lower levels of adherence generally associated with higher total costs. The annual adjusted disease-specific economic cost of non-adherence per person ranged from $949 to $44 190 (in 2015 US$). Costs attributed to ‘all causes’ non-adherence ranged from $5271 to $52 341. Medication possession ratio was the metric most used to calculate patient adherence, with varying cut-off points defining non-adherence. The main indicators used to measure the cost of non-adherence were total cost or total healthcare cost (83% of studies), pharmacy costs (70%), inpatient costs (46%), outpatient costs (50%), emergency department visit costs (27%), medical costs (29%) and hospitalisation costs (18%). Drummond quality assessment yielded 10 studies of high quality with all studies performing partial economic evaluations to varying extents. Conclusion Medication non-adherence places a significant cost burden on healthcare systems. Current research assessing the economic impact of medication non-adherence is limited and of varying quality, failing to provide adaptable data to influence health policy. The correlation between increased non-adherence and higher disease prevalence should be used to inform policymakers to help circumvent avoidable costs to the healthcare system. Differences in methods make the comparison among studies challenging and an accurate estimation of true magnitude of the cost impossible. Standardisation of the metric measures used to estimate medication non-adherence and development of a streamlined approach to quantify costs is required. PROSPERO registration number CRD42015027338.