Clinical Transformation of Al Wakra Hospital to a COVID-19 facility

Zubaria Altaf; Almunzer Abduljalil Zakaria; Sara Kazkaz; Amjad Al Khawaldeh; Omar Al Hasanat; Ayman Tardi; Maryam Al Hajeri; Parwaneh Shibani; Sabah AlKadhi; Abdulla Al Ansari

doi:10.5339/jemtac.2022.qhc.19

Stereotactic Body Radiotherapy for Metastatic and Recurrent Soft Tissue Sarcoma

10.21203/rs.3.rs-122172/v1 ◽

2020 ◽

Author(s):

Xiaoyao Feng ◽

Jing Li ◽

Aomei Li ◽

Han Zhou ◽

Xixu Zhu ◽

...

Keyword(s):

Soft Tissue ◽

Soft Tissue Sarcoma ◽

Survival Rates ◽

Progression Free Survival ◽

Hematogenous Metastasis ◽

Invasive Growth ◽

Free Survival ◽

Grade 3 ◽

Clinical Transformation

Abstract BackgroundSoft tissue sarcoma（STS） is a malignant tumor of highly heterogeneous mesenchymal origin. STS has a biologic pattern and clinical transformation with localized invasive growth and susceptibility to hematogenous metastasis. Metastatic and recurrent soft tissue sarcoma may be treated by local therapeutic options, including surgery and radiation therapy. This study evaluated the safety and efficacy of SBRT for metastatic and recurrent soft tissue sarcoma.MethodsWe performed a retrospective analysis of 37 STS patients with 58 lesions treated with SBRT from 2009-2019 at our institution. We analyze the local control (LC), overall survival (OS), progression free survival (PFS) and toxicity rates of the patients.ResultThe median follow-up was 20 months（range 2 to 120 months）. One and two year LC rates were 75.3% and 55.2% [95% confidence interval (CI) 20–25 months]. Median OS was 24 months and the survival rates were 66.6%, 45% and 26.6% at 1, 2 and 3-year after SBRT. Median PFS were 11months (95% CI 8–18 months). No acute or chronic grade ≥ 3 toxicity was observed.ConclusionsIn patients with metastatic and recurrent STS, LC, OS and PFS were higher than expected. SBRT should be a proper treatment option for STS.

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Implementation: The Next Giant Hurdle to Clinical Transformation With Digital Health

Journal of Medical Internet Research ◽

10.2196/16259 ◽

2019 ◽

Vol 21 (11) ◽

pp. e16259 ◽

Cited By ~ 8

Author(s):

Lorraine Buis

Keyword(s):

Health Research ◽

Digital Health ◽

Internet Research ◽

Clinical Implementation ◽

The Past ◽

Barriers To Implementation ◽

Clinical Transformation

Clinical implementation of digital health is a major hurdle to overcome in the coming years. Considering the role of the Journal of Medical Internet Research in the past 20 years and looking toward the journal’s future, this viewpoint acknowledges the vision of medicine and the role that digital health plays in that vision. It also highlights barriers to implementation of digital health as an obstacle to achieving that vision. In particular, this paper focuses on how digital health research must start looking toward implementation as an area of inquiry and the role that the Journal of Medical Internet Research and its' sister journals from JMIR Publications can play in this process.

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Biomimetic Drug Delivery Systems Oriented by Biological Function in Tumor Targeting

Current Drug Targets ◽

10.2174/1389450122666210114095859 ◽

2021 ◽

Vol 22 ◽

Author(s):

Rui Wang ◽

Xianyi Sha

Keyword(s):

Drug Delivery ◽

Tumor Targeting ◽

Drug Delivery Systems ◽

Biological Function ◽

Delivery Systems ◽

Biological Functions ◽

Simple Preparation ◽

Targeting Delivery ◽

Clinical Transformation ◽

Endogenous Substances

: The emergence of nanoscale drug delivery systems provides new opportunities for targeting delivery of chemotherapeutic drugs and has achieved excellent results. In recent years, with the arising of the concept of intelligent drug delivery systems, the design and preparation of carriers have become more and more complicated, which is not conducive to clinical transformation. Researchers are gradually focusing on biomimetic nanoscale drug delivery systems, trying to combine the physicochemical properties of nanoscale carriers with the natural biological functions of endogenous substances, so as to boost tumor targeting delivery. In this article, we first classify and introduce biomimetic nanoscale drug delivery systems, and then emphasize their unique biological functions. The biomimetic nanoscale drug delivery systems have the advantages of simple preparation, powerful functions, and low immunogenicity, having a good application prospect.

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The Aggregation Induced Emission Probe of Detecting Enhanced Permeation and Retention Effects is Structured for Evaluating the Applicability of Nanotherapy to Different Tumor Individuals

Journal of Nanoscience and Nanotechnology ◽

10.1166/jnn.2021.19524 ◽

2021 ◽

Vol 21 (12) ◽

pp. 6054-6059

Author(s):

Yuelan Liang ◽

Ya-Nan Chang ◽

Xue Li ◽

Ziteng Chen ◽

Jiaxin Zhang ◽

...

Keyword(s):

Patient Evaluation ◽

Curative Effect ◽

Aggregation Induced Emission ◽

Epr Effect ◽

Negative Linear Correlation ◽

Patient Will ◽

Model Mouse ◽

The Difference ◽

The Individual ◽

Clinical Transformation

Enhanced permeation and retention (EPR) effect, the mechanism by which nanodrugs accumulate in tumors and acquire superior curative effect. The questions of these mechanisms occur because of limited clinical transformation of engineered nanomaterials after 30 years. The difference of EPR limits the therapeutic effect of nanodrugs in the individual patient. Evaluation of the EPR effect in the individual patient will aid in selecting patients who will accumulate higher amounts of nanotherapeutics and show better therapeutic efficacy. Based on varied TIMP1/MMP-9 in serum, an aggregation-induced emission luminogen probe was designed and constructed to detect and evaluate the EPR effect in model mouse. The result showed that the ratio of TIMP1/MMP-9 (in the range 0.2–1.2) and fluorescence intensity of the probe were negative linear correlation and the effects of BSA-rhodamine accumulation in tumor were individualized differences as well as correlated with the relative ratio of TIMP-1/MMP-9 in serum. Our data support the development of these biomarkers probes based on the personalized nanotherapy of tumor.

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Thinking on Innovative Research of Liver Cancer and Clinical Transformation

Surgical Pathology of Hepatobiliary Tumors ◽

10.1007/978-981-10-3536-4_2 ◽

2017 ◽

pp. 11-15

Author(s):

Hong-Yang Wang

Keyword(s):

Liver Cancer ◽

Innovative Research ◽

Clinical Transformation

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Technology adoption leads to clinical transformation

Pharmacy Today ◽

10.1016/s1042-0991(15)31828-4 ◽

2012 ◽

Vol 18 (6) ◽

pp. 4-6 ◽

Cited By ~ 1

Author(s):

Amy K. Erickson

Keyword(s):

Technology Adoption ◽

Clinical Transformation

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Clinical Transformation in Care for Patients With Sickle Cell Disease at an Urban Academic Medical Center

American Journal of Medical Quality ◽

10.1177/1062860619873402 ◽

2019 ◽

Vol 35 (3) ◽

pp. 236-241

Author(s):

Sanaa Rizk ◽

David Axelrod ◽

Gaye Riddick-Burden ◽

Elisabeth Congdon-Martin ◽

Steven McKenzie ◽

...

Keyword(s):

Sickle Cell Disease ◽

Case Studies ◽

Sickle Cell ◽

Academic Medical Center ◽

Thomas Jefferson ◽

Cell Disease ◽

Observation Unit ◽

Quantitative Analyses ◽

Clinical Transformation ◽

The Impact

This article demonstrates effects on utilization of a clinical transformation: changing locus of care from a dedicated sickle cell day unit to an approach that “fast-tracks” patients through the emergency department (ED) into an observation unit with 24/7 access. Retrospective quantitative analyses of claims and Epic electronic medical record data for patients with sickle cell disease treated at Thomas Jefferson University (inpatient and ED) assessed effects of the clinical transformation. Additionally, case studies were conducted to confirm and deepen the quantitative analyses. This study was approved by the Thomas Jefferson University Institutional Review Board. The quantitative analyses show significant decreases in ED and inpatient utilization following the transformation. These effects likely were facilitated by increased observation stays. This study demonstrated the impact on utilization of transformation in care (from dedicated day unit to an approach that fast-tracks patients into an observation unit). Additional case studies support the quantitative findings.

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