Identification of miRNA signatures associated with radiation-induced late lung injury in mice.

Acute radiation exposure of the thorax can lead to late serious, and even life-threatening, pulmonary and cardiac damage. Sporadic in nature, late complications tend to be difficult to predict, which prompted this investigation into identifying non-invasive, tissue-specific biomarkers for the early detection of late radiation injury. Levels of circulating microRNA (miRNA) were measured in C3H and C57Bl/6 mice after whole thorax irradiation at doses yielding approximately 70% mortality in 120 or 180 days, respectively (LD70/120 or 180). Within the first two weeks after exposure, weight gain slowed compared to sham treated mice along with a temporary drop in white blood cell counts. 52% of C3H (33 of 64) and 72% of C57Bl/6 (46 of 64) irradiated mice died due to late radiation injury. Lung and heart damage, as assessed by computed tomography (CT) and histology at 150 (C3H mice) and 180 (C57Bl/6 mice) days, correlated well with the appearance of a local, miRNA signature in the lung and heart tissue of irradiated animals, consistent with inherent differences in the C3H and C57Bl/6 strains in their propensity for developing radiation-induced pneumonitis or fibrosis, respectively. Radiation-induced changes in the circulating miRNA profile were most prominent within the first 30 days after exposure and included miRNA known to regulate inflammation and fibrosis. Importantly, early changes in plasma miRNA expression predicted survival with reasonable accuracy (88-92%). The miRNA signature that predicted survival in C3H mice, including miR-34a-5p, -100-5p, and -150-5p, were associated with pro-inflammatory NF-κB-mediated signaling pathways, whereas the signature identified in C57Bl/6 mice (miR-34b-3p, -96-5p, and -802-5p) was associated with TGF-β/SMAD signaling. This study supports the hypothesis that plasma miRNA profiles could be used to identify individuals at high risk of organ-specific late radiation damage, with applications for radiation oncology clinical practice or in the context of a radiological incident

The Pathogenesis and Long-Term Consequences of COVID-19 Cardiac Injury.

The mechanisms of coronavirus disease-2019 (COVID-19)-related myocardial injury comprise both direct viral invasion and indirect (hypercoagulability and immune-mediated) cellular injuries. Some patients with COVID-19 cardiac involvement have poor clinical outcomes, with preliminary data suggesting long-term structural and functional changes. These include persistent myocardial fibrosis, edema, and intraventricular thrombi with embolic events, while functionally, the left ventricle is enlarged, with a reduced ejection fraction and new-onset arrhythmias reported in a number of patients. Myocarditis post-COVID-19 vaccination is rare but more common among young male patients. Larger studies, including prospective data from biobanks, will be useful in expanding these early findings and determining their validity

The Pathogenesis and Long-Term Consequences of COVID-19 Cardiac Injury.

The mechanisms of coronavirus disease-2019 (COVID-19)-related myocardial injury comprise both direct viral invasion and indirect (hypercoagulability and immune-mediated) cellular injuries. Some patients with COVID-19 cardiac involvement have poor clinical outcomes, with preliminary data suggesting long-term structural and functional changes. These include persistent myocardial fibrosis, edema, and intraventricular thrombi with embolic events, while functionally, the left ventricle is enlarged, with a reduced ejection fraction and new-onset arrhythmias reported in a number of patients. Myocarditis post-COVID-19 vaccination is rare but more common among young male patients. Larger studies, including prospective data from biobanks, will be useful in expanding these early findings and determining their validity

Pharmacokinetic Targets for Therapeutic Drug Monitoring of Small Molecule Kinase Inhibitors in Pediatric Oncology

In recent years new targeted small molecule kinase inhibitors have become available for pediatric patients with cancer. Relationships between drug exposure and treatment response have been established for several of these drugs in adults. Following these exposure–response relationships, pharmacokinetic (PK) target minimum plasma rug concentration at the end of a dosing interval (Cmin) values to guide therapeutic drug monitoring (TDM) in adults have been proposed. Despite the fact that variability in PK may be even larger in pediatric patients, TDM is only sparsely applied in pediatric oncology. Based on knowledge of the PK, mechanism o

PENGARUH TEKANAN KETAATAN DAN KOMPLEKSITAS TUGAS TERHADAP AUDIT JUDGMENT (Survey Terhadap Lima Kantor AkuntanPublik di Kota Bandung)

ABSTRAK Seperti yang kita ketahui bahwa seorang auditor dalam melakukan tugasnya membuat audit judgment dipengaruhi banyak faktor, baik bersifat teknis dan non teknis. Salah satu faktor non teknis adalah aspek perilaku individual. Aspek perilaku individu, sebagai salah satu faktor yang banyak mempengaruhi pembuatan audit judgment. Pada penelitian ini ada beberapa faktor yang mempengaruhi audit judgment yaitu tekanan ketaatan dan kompleksitas tugas. Dalam penelitian ini penullis ingin mengetahui sejauh mana “tekanan ketaatan dan kompleksitas tugas terhadap audit judgment”. Sedangkan tujuan dari penelitian ini adalah untuk mengetahui dan mempelajari tekanan ketaatan dan kompleksitas tugas terhadap audit judgment. Hipotesis yang diuji dalam penelitian ini adalah “ jika tekanan ketaatan dan kompleksitas tugas baik, maka audit judgment akan meningkat ( baik pula)”. Hipotesis ini berdasarkan asumsi bahwa tekanan ketaatan dan kompleksitas tugas berpengaruh terhadap audit judgment.dalam penelitian ini penulis menggunakan metode deskriptif asosiatif dengan pendekatan survey dan tes statistik. Penelitian ini terdiri dari atas variabel X1 dan X2 dan audit judgment sebagai veriabel Y atau variabel independen. Uji statistik dilakukan dengan mengolah data dari hasil jawaban kuesioner. Dalam penelitian ini, peulis menyebarkan angket kepada 5 Kantor Akuntan Publik di Kota Bandung khusunya untuk para auditor. Pengumpulan data dilakukan dengan cara penyebaran kuesioner yang telah diuji validitasnya dan reabilitasnya. Penelitian ini dilakukan di 5 KAP di Kota Bandung. Pengambilan sampel ini menggunakan purposive sampling berukuran 28 orang responden. Untuk uji hipotesis penelitian, penulis melakukannya dengan uji t untuk masing-masing variabel X1,X2, dan Y. Dari hasil uji tHitung tekanan ketaatan terhadap audit judgment tHitung =4,178>ttabel = 1.705 kompleksitas tugas terhadap audit judgment 5 tHitung = 3.364 > ttabel = 1,705. Maka, dari hasil uji hipotesis tersebut penulis menyimpulkan bahwa hipotesis penelitian diterima (Ho ditolak, Ha diterima) artinya terdapat pengaruh antara terkanan ketaatan terhadap audit judgment dan kompleksitas tugas terhadap audit judgment Untuk mencari besarnya pengaruh Tekanan ketaatan dan Kompleksitas Tugas terhadap Audit Judgment secara simultan penulis melakukannya dengan uji f dengan koefisien determinasi (KD). Dari hasil uji fhitung dan > f table yaitu 16,182>3,370. Kata kunci : Tekanan Ketaatan dan Kompleksitas tugas Terhadap Audit Judgmen

Advances in the healing of flexor tendon injuries

The intrasynovial flexor tendons of the hand are critical for normal hand function. Injury to these tendons can result in absent finger flexion, and a subsequent loss of overall hand function. The surgical techniques used to repair these tendons have improved in the past few decades, as have the postoperative rehabilitation protocols. In spite of these advances, intrasynovial flexor tendon repairs continue to be plagued by postoperative scar formation, which limits tendon gliding and prevents a full functional recovery. This paper describes the current challenges of flexor tendon repair, and evaluates the most recent advances and strategies for achieving an excellent functional outcome.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/106844/1/wrr12161.pd

Randomized elimination and prolongation of ACE inhibitors and ARBs in coronavirus 2019 (REPLACE COVID) Trial Protocol

Severe acute respiratory syndrome coronavirus 2 (SARS- CoV- 2), the virus responsible for coronavirus disease 2019 (COVID- 19), is associated with high incidence of multiorgan dysfunction and death. Angiotensin- converting enzyme 2 (ACE2), which facilitates SARS- CoV- 2 host cell entry, may be impacted by angiotensin- converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs), two commonly used antihypertensive classes. In a multicenter, international randomized controlled trial that began enrollment on March 31, 2020, participants are randomized to continuation vs withdrawal of their long- term outpatient ACEI or ARB upon hospitalization with COVID- 19. The primary outcome is a hierarchical global rank score incorporating time to death, duration of mechanical ventilation, duration of renal replacement or vasopressor therapy, and multiorgan dysfunction severity. Approval for the study has been obtained from the Institutional Review Board of each participating institution, and all participants will provide informed consent. A data safety monitoring board has been assembled to provide independent oversight of the project.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/163400/2/jch14011_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/163400/1/jch14011.pd

The Anemia Stress Index-Anemia, Transfusions, and Mortality in Patients with Continuous Flow Ventricular Assist Devices

We aimed to identify a simple metric accounting for peri-procedural hemoglobin changes, independent of blood product transfusion strategies, and assess its correlation with outcomes in patients undergoing left ventricular assist device (LVAD) implantation We included consecutive patients undergoing LVAD implantation at a single center between 10/1/2008 and 6/1/2014. The anemia stress index (ASI), defined as the sum of number of packed red blood cells transfused and the hemoglobin changes after LVAD implantation, was calculated for each patient at 24 h, discharge, and 3 months after LVAD implantation. Our cohort included 166 patients (80.1% males, mean age 56.3 ± 15.6 years) followed up for a median of 12.3 months. Increases in ASI per unit were associated with a higher hazard for all-cause mortality and early RV failure. The associations between the ASI and all-cause mortality persisted after multivariable adjustment, irrespective of when it was calculated (adjusted HR of 1.11, 95% CI 1.03-1.20 per unit increase in ASI). Similarly, ASI at 24 h after implant was associated with early RV failure despite multivariable adjustment (OR 1.09, 95% CI 1.05-1.14). We present a novel metric, the ASI, that is correlated with an increased risk for all-cause mortality and early RV failure in LVAD recipients

Predicting Long Term Outcome in Patients Treated With Continuous Flow Left Ventricular Assist Device: The Penn—Columbia Risk Score

Background: Predicting which patients are unlikely to benefit from continuous flow left ventricular assist device (LVAD) treatment is crucial for the identification of appropriate patients. Previously developed scoring systems are limited to past eras of device or restricted to specific devices. Our objective was to create a risk model for patients treated with continuous flow LVAD based on the preimplant variables. Methods and Results: We performed a retrospective analysis of all patients implanted with a continuous flow LVAD between 2006 and 2014 at the University of Pennsylvania and included a total of 210 patients (male 78%; mean age, 56±15; mean follow‐up, 465±486 days). From all plausible preoperative covariates, we performed univariate Cox regression analysis for covariates affecting the odds of 1‐year survival following implantation (P<0.2). These variables were included in a multivariable model and dropped if significance rose above P=0.2. From this base model, we performed step‐wise forward and backward selection for other covariates that improved power by minimizing Akaike Information Criteria while maximizing the Harrell Concordance Index. We then used Kaplan–Meier curves, the log‐rank test, and Cox proportional hazard models to assess internal validity of the scoring system and its ability to stratify survival. A final optimized model was identified based on clinical and echocardiographic parameters preceding LVAD implantation. One‐year mortality was significantly higher in patients with higher risk scores (hazard ratio, 1.38; P=0.004). This hazard ratio represents the multiplied risk of death for every increase of 1 point in the risk score. The risk score was validated in a separate patient cohort of 260 patients at Columbia University, which confirmed the prognostic utility of this risk score (P=0.0237). Conclusion: We present a novel risk score and its validation for prediction of long‐term survival in patients with current types of continuous flow LVAD support

Reproducible radiomics through automated machine learning validated on twelve clinical applications

Radiomics uses quantitative medical imaging features to predict clinical outcomes. Currently, in a new clinical application, findingthe optimal radiomics method out of the wide range of available options has to be done manually through a heuristic trial-anderror process. In this study we propose a framework for automatically optimizing the construction of radiomics workflows perapplication. To this end, we formulate radiomics as a modular workflow and include a large collection of common algorithms foreach component. To optimize the workflow per application, we employ automated machine learning using a random search andensembling. We evaluate our method in twelve different clinical applications, resulting in the following area under the curves: 1)liposarcoma (0.83); 2) desmoid-type fibromatosis (0.82); 3) primary liver tumors (0.80); 4) gastrointestinal stromal tumors (0.77);5) colorectal liver metastases (0.61); 6) melanoma metastases (0.45); 7) hepatocellular carcinoma (0.75); 8) mesenteric fibrosis(0.80); 9) prostate cancer (0.72); 10) glioma (0.71); 11) Alzheimer’s disease (0.87); and 12) head and neck cancer (0.84). Weshow that our framework has a competitive performance compared human experts, outperforms a radiomics baseline, and performssimilar or superior to Bayesian optimization and more advanced ensemble approaches. Concluding, our method fully automaticallyoptimizes the construction of radiomics workflows, thereby streamlining the search for radiomics biomarkers in new applications.To facilitate reproducibility and future research, we publicly release six datasets, the software implementation of our framework,and the code to reproduce this study