Epstein-Barr Virus–Related Post-Transplant Lymphoproliferative Disorders in Cystic Fibrosis Lung Transplant Recipients: A Case Series

Background

Solid organ transplantation is associated with a higher risk of Epstein-Barr virus (EBV)–related lymphoproliferative disease due to immunosuppressive regimen. Little evidence is currently available on post-transplant lymphoproliferative disorders (PTLDs) in the lung transplant (LuTx) setting, particularly in cystic fibrosis (CF) recipients.

浅谈“百病皆在调气血”在哈氏妇科的应用

气血理论是中医重要理论，妇科疾病应首调其气血，哈氏妇科是全国中医妇科十大流派之一，诊治疾病独具特色，哈孝廉教授宗古人"百病皆在调气血"思想，治疗崩漏、产后身痛、滑胎等妇科常见疾病，疗效显著，值得深入学习与探讨。     

Colitis following the use of immune checkpoint inhibitors: A real-world analysis of spontaneous reports submitted to the FDA adverse event reporting system

BackgroundAlthough colitis has been reported in patients treated with immune checkpoint inhibitors (ICIs), associations between colitis and ICIs had not been thoroughly assessed in real-world studies. Here, we identified and characterized significant colitis-associated with ICIs.MethodsBased on the Food and Drug Administration Adverse Event Reporting System (FAERS) from January 2004 to December 2019, the disproportionality analysis and Bayesian analysis, including the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the Bayesian confidence propagation neural network (BCPNN) and the multi-item gamma Poisson shrinker (MGPS) algorithms were adopted to data mining of the suspected adverse events of colitis after ICIs administrating. Clinical characteristics of patients with ICIs-associated colitis and the time to onset of colitis following different ICI regimens were collected.ResultsA total of 3786 reports of colitis adverse events were identified with ICIs. Seven ICI monotherapies were associated with the reporting of colitis. Statistically significant ROR, PRR, information component (IC), and empirical Bayesian geometric mean (EBGM) emerged for all ICI monotherapies and combination therapies. ICIs-associated colitis affected mostly male (53.51%), with a wide mean age range (60.65 to 72 years). Colitis adverse events were commonly reported in patients with melanoma and lung cancer. Adverse outcomes of colitis concerning ICI were mainly outcomes of hospitalization-initiated or prolonged and other serious. Among colitis cases, 17.43% cases of colitis concerning ICI lead to death. The adverse event of colitis occurred earliest in ipilimumab monotherapy with a median time to onset of 64.21 days (IQR: 27–69 days) among all monotherapies.ConclusionsICI may lead to severe and disabling ICIs-associated colitis during therapy. Analysis of FAERS data identified signals for adverse events of colitis with ICI regimens. Practitioners should consider the factors that may increase the likelihood of colitis. The findings support a continued surveillance and risk factor identification studies.     

Large-scale analysis of interindividual variability in single and paired-pulse TMS data

ObjectiveThis study brought together over 60 transcranial magnetic stimulation (TMS) researchers to create the largest known sample of individual participant single and paired-pulse TMS data to date, enabling a more comprehensive evaluation of factors driving response variability.MethodsAuthors of previously published studies were contacted and asked to share deidentified individual TMS data. Mixed-effects regression investigated a range of individual and study level variables for their contribution to variability in response to single and paired-pulse TMS data.Results687 healthy participant’s data were pooled across 35 studies. Target muscle, pulse waveform, neuronavigation use, and TMS machine significantly predicted an individual’s single-pulse TMS amplitude. Baseline motor evoked potential amplitude, motor cortex hemisphere, and motor threshold (MT) significantly predicted short-interval intracortical inhibition response. Baseline motor evoked potential amplitude, test stimulus intensity, interstimulus interval, and MT significantly predicted intracortical facilitation response. Age, hemisphere, and TMS machine significantly predicted MT.ConclusionsThis large-scale analysis has identified a number of factors influencing participants’ responses to single and paired-pulse TMS. We provide specific recommendations to minimise interindividual variability in single and paired-pulse TMS data.SignificanceThis study has used large-scale analyses to give clarity to factors driving variance in TMS data. We hope that this ongoing collaborative approach will increase standardisation of methods and thus the utility of single and paired-pulse TMS.     

The Impact of Socioeconomic Factors,Coverage and Access to Health on Heart Ischemic Disease Mortality in a Brazilian Southern State: A Geospatial Analysis

Background:No other disease has killed more than ischemic heart disease (IHD) for the past few years globally. Despite the advances in cardiology, the response time for starting treatment still leads patients to death because of the lack of healthcare coverage and access to referral centers.Objectives:To analyze the spatial disparities related to IHD mortality in the Parana state, Brazil.Methods:An ecological study using secondary data from Brazilian Health Informatics Department between 2013–2017 was performed to verify the IHD mortality. An spatial analysis was performed using the Global Moran and Local Indicators of Spatial Association (LISA) to verify the spatial dependency of IHD mortality. Lastly, multivariate spatial regression models were also developed using Ordinary Least Squares and Geographically Weighted Regression (GWR) to identify socioeconomic indicators (aging, income, and illiteracy rates), exam coverage (catheterization, angioplasty, and revascularization rates), and access to health (access index to cardiologists and chemical reperfusion centers) significantly correlated with IHD mortality. The chosen model was based on p < 0.05, highest adjusted R² and lowest Akaike Information Criterion.Results:A total of 22,920 individuals died from IHD between 2013–2017. The spatial analysis confirmed a positive spatial autocorrelation global between IDH mortality rates (Moran’s I: 0.633, p < 0.01). The LISA analysis identified six high-high pattern clusters composed by 66 municipalities (16.5%). GWR presented the best model (Adjusted R²: 0.72) showing that accessibility to cardiologists and chemical reperfusion centers, and revascularization and angioplasty rates differentially affect the IHD mortality rates geographically. Aging and illiteracy rate presented positive correlation with IHD mortality rate, while income ratio presented negative correlation (p < 0.05).Conclusion:Regions of vulnerability were unveiled by the spatial analysis where sociodemographic, exam coverage and accessibility to health variables impacted differently the IHD mortality rates in Paraná state, Brazil.Highlights

• The increase in ischemic heart disease mortality rates is related to geographical disparities.
• The IHD mortality is differentially associated to socioeconomic factors, exam coverage, and access to health.
• Higher accessibility to chemical reperfusion centers did not necessarily improve patient outcomes in some regions of the state.
• Clusters of high mortality rate are placed in regions with low amount of cardiologists, income and schooling.

     

Long-term Implications of Tracheostomy in Cardiac Surgery Patients: Decannulation and Mortality

1. Download : Download high-res image (247KB)
2. Download : Download full-size image

     

Association of malnutrition with all-cause mortality in the elderly population: A 6-year cohort study

Background and aimsFew studies have explored the association between malnutrition, defined by the Geriatric Nutritional Risk Index (GNRI), and all-cause mortality, particularly in the Chinese population. This study aimed to investigate the association between the GNRI and all-cause mortality in the elderly population.Methods and resultsParticipants aged ≥60 years were eligible for this study and were divided into three groups by the GNRI: An adequate nutrition group, participants with a GNRI ≥98; mild malnutrition group, participants with a GNRI ≥82 but <98; and a severe malnutrition group, participants with a GNRI <82. The results implied that there was a positive association between severe malnutrition and all-cause mortality in the total population (hazard ratio (HR): 2.591 and 95% confidence interval (CI): 1.729–3.884), male subjects (HR: 2.903 and 95% CI: 1.718–4.906), and female subjects (HR: 2.081 and 95% CI: 1.071–4.046). Similar associations between severe malnutrition and all-cause mortality were observed in both the 60–69 and 70–79 years age groups (HR: 2.863 and 2.600, 95% CI: 1.444–5.678 and 1.394–4.849, respectively). However, no significant association was observed between mild malnutrition and all-cause mortality.ConclusionsSevere malnutrition could increase all-cause mortality in the 60- to 79-year-old population. However, there was no association of mild malnutrition with all-cause mortality.