380 results on '"Abbas, Rana"'
Search Results
2. Trends in Survival for Adult Organ Transplantation
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Grant Patrick, BS, Brian Hickner, MD, Karthik Goli, BS, Liam D. Ferreira, MBA, John Goss, MD, and Abbas Rana, MD
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Surgery ,RD1-811 - Abstract
Objective:. Intent-to-treat analysis follows patients from listing to death, regardless of their transplant status, and aims to provide a more holistic scope of the progress made in adult solid-organ transplantation. Background:. Many studies have shown progress in waitlist and post-transplant survival for adult kidney, liver, heart, and lung transplants, but there is a need to provide a more comprehensive perspective of transplant outcomes for patients and their families. Methods:. Univariable and multivariable Cox regression analyses were used to analyze factors contributing to intent-to-treat survival in 813,862 adults listed for kidney, liver, heart, and lung transplants. The Kaplan–Meier method was used to examine changes in waitlist, post-transplant, and intent-to-treat survival. Transplantation rates were compared using χ2 tests. Results:. Intent-to-treat survival has steadily increased for liver, heart, and lung transplants. The percentage of patients transplanted within 1 year significantly increased for heart (57.4% from 52.9%) and lung (73.5% from 33.2%). However, the percentage of patients transplanted within 1 year significantly decreased from 35.8% to 21.2% for kidney transplant. Notably, intent-to-treat survival has decreased for kidneys despite increases in waitlist and post-transplant survival, likely because of the decreased transplant rate. Conclusion:. Intent-to-treat survival steadily improved for liver, heart, and lung transplant over the 30-year study period. Continued advancements in allocation policy, immunosuppression, and improved care of patients on the waitlist may contribute to further progress in outcomes of all organs, but the increasing discrepancy in supply and demand of donor kidneys is alarming and has impeded the progress of kidney intent-to-treat survival.
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- 2024
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3. A comprehensive survey on point cloud registration
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Huang, Xiaoshui, Mei, Guofeng, Zhang, Jian, and Abbas, Rana
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Registration is a transformation estimation problem between two point clouds, which has a unique and critical role in numerous computer vision applications. The developments of optimization-based methods and deep learning methods have improved registration robustness and efficiency. Recently, the combinations of optimization-based and deep learning methods have further improved performance. However, the connections between optimization-based and deep learning methods are still unclear. Moreover, with the recent development of 3D sensors and 3D reconstruction techniques, a new research direction emerges to align cross-source point clouds. This survey conducts a comprehensive survey, including both same-source and cross-source registration methods, and summarize the connections between optimization-based and deep learning methods, to provide further research insight. This survey also builds a new benchmark to evaluate the state-of-the-art registration algorithms in solving cross-source challenges. Besides, this survey summarizes the benchmark data sets and discusses point cloud registration applications across various domains. Finally, this survey proposes potential research directions in this rapidly growing field., Comment: review paper
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- 2021
4. Analysis and Design of Analog Fountain Codes for Short Packet Communications
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Lim, Wen Jun, Abbas, Rana, Li, Yonghui, Vucetic, Branka, and Shirvanimoghaddam, Mahyar
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Computer Science - Information Theory - Abstract
In this paper, we focus on the design and analysis of the Analog Fountain Code (AFC) for short packet communications. We first propose a density evolution (DE) based framework, which tracks the evolution of the probability density function of the messages exchanged between variable and check nodes of AFC in the belief propagation decoder. Using the proposed DE framework, we formulate an optimisation problem to find the optimal AFC code parameters, including the weight-set, which minimises the bit error rate at a given signal-to-noise ratio (SNR). Our results show the superiority of our AFC code design compared to existing designs of AFC in the literature and thus the validity of the proposed DE framework in the asymptotically long block length regime. We then focus on selecting the precoder to improve the performance of AFC at short block lengths. Simulation results show that lower precode rates obtain better realised rates over a wide SNR range for short information block lengths. We also discuss the complexity of the AFC decoder and propose a threshold-based decoder to reduce the complexity., Comment: 13 pages, 15 figures
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- 2021
5. Grant-Free Non-Orthogonal Multiple Access: A Key Enabler for 6G-IoT
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Abbas, Rana, Huang, Tao, Shahab, Basit, Shirvanimoghaddam, Mahyar, Li, Yonghui, and Vucetic, Branka
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Computer Science - Information Theory ,Electrical Engineering and Systems Science - Signal Processing - Abstract
The proliferating number of devices with short payloads as well as low power budget has already driven researchers away from classical grant-based access schemes that are notorious for their large signalling overhead as well as power-consuming retransmissions. Instead, light-weight random access protocols have been re-investigated and their throughput has been improved in orders of magnitude with sophisticated yet still low-complex transceiver algorithms. In fact, grant-free access has been identified as a key medium access control technique for providing massive connectivity in machine type communications in cellular networks. In this paper, we show that grant-free access combined with non-orthogonal transmission schemes is a promising solution for 6G Internet of Things (IoT). We present novel and promising results for deep learning (DL)-based techniques for joint user detection and decoding. Then, we propose a multi-layered model for GF-NOMA for power-efficient communications. We also discuss resource allocation issues to enable the co-existence of GF-NOMA with other orthogonal or even grant-based schemes. Finally, we conclude with proposed research directions for medium access towards enabling 6G-IoT.
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- 2020
6. Grant-free Non-orthogonal Multiple Access for IoT: A Survey
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Shahab, Muhammad Basit, Abbas, Rana, Shirvanimoghaddam, Mahyar, and Johnson, Sarah J.
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Electrical Engineering and Systems Science - Signal Processing - Abstract
Massive machine-type communications (mMTC) is one of the main three focus areas in the 5th generation (5G) of mobile standards to enable connectivity of a massive number of internet of things (IoT) devices with little or no human intervention. In conventional human-type communications (HTC), due to the limited number of available radio resources and orthogonal/non-overlapping nature of existing resource allocation techniques, users need to compete for connectivity through a random access (RA) process, which may turn into a performance bottleneck in mMTC. In this context, non-orthogonal multiple access (NOMA) has emerged as a potential technology that allows overlapping of multiple users over a radio resource, thereby creating an opportunity to enable more autonomous and grant-free communication, where devices can transmit data whenever they need. The existing literature on NOMA schemes majorly considers centralized scheduling based HTC, where users are already connected, and various system parameters like spreading sequences, interleaving patterns, power control, etc., are predefined. Contrary to HTC, mMTC traffic is different with mostly uplink communication, small data size per device, diverse quality of service, autonomous nature, and massive number of devices. Hence, the signaling overhead and latency of centralized scheduling becomes a potential performance bottleneck. To tackle this, grant-free access is needed, where mMTC devices can autonomously transmit their data over randomly chosen radio resources. This article, in contrast to existing surveys, comprehensively discusses the recent advances in NOMA from a grant-free connectivity perspective. Moreover, related practical challenges and future directions are discussed., Comment: Survey Paper
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- 2019
7. Harnessing the Mineral Fertilization Regimes for Bolstering Biomass Productivity and Nutritional Quality of Cowpea (Vigna unguiculata L. Walp)
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Iqbal, Asif, primary, Abbas, Rana Nadeem, additional, Al Zoubi, Omar Mahmoud, additional, Alasasfa, Muawya A., additional, Rahim, Nasir, additional, Tarikuzzaman, Mohammad, additional, Aydemir, Serap Kizil, additional, and Iqbal, Muhammad Aamir, additional
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- 2024
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8. Attitudes and Awareness of Medical Students Towards Teleradiology and the Application of Artificial Intelligence in Diagnostic Radiology.
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Almuhanna, Afnan, primary, Almohsen, Danyah, additional, Alhuraish, Deemah, additional, AlSultan, Deem, additional, AlRatrout, Farah, additional, Alzanadi, Rabab, additional, and Abbas, Rana, additional
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- 2024
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9. Assessing Herbicide Efficacy and Susceptibility for Weed Management and Enhancing Production of Non-GMO Soybean Cultivation
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Arshad, Muhammad Awais, primary, Abbas, Rana Nadeem, additional, Khaliq, Abdul, additional, and Ahmed, Zaheer, additional
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- 2024
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10. Selecting DCD Recipients Using Predictive Indices
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Saif Ganni, Greta Handing, BS, Adrish Anand, BS, Spencer Barrett, BS, Nhu Thao Nguyen Galvan, MD, MPH, Christine O’Mahony, MD, John A. Goss, MD, Ronald T. Cotton, MD, FACS, and Abbas Rana, MD, FACS
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Surgery ,RD1-811 - Abstract
Background. Donation after circulatory death (DCD) allografts might represent one of the largest untapped sources of liver allografts. Our aim was to identify independent recipient risk factors that predict mortality in DCD allograft recipients to preselect optimal candidates for successful transplantation. Furthermore, we compared the application of our newly constructed DCD Recipient Selector Index (RSI) score to previously developed models to determine superiority in predicting recipient survival. Methods. Using the Organ Procurement and Transplantation Network database, we performed univariate and multivariate retrospective analyses on 4228 DCD liver allograft recipients. Results. We identified 8 significant factors and incorporated them into the weighted RSI to predict 3-mo survival following DCD liver transplantation with a C-statistic of 0.6971. The most significant recipient risk factors were recipient serum sodium levels >150 mEq/L at transplant, recipient albumin
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- 2023
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11. Fast Channel Estimation and Beam Tracking for Millimeter Wave Vehicular Communications
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Shaham, Sina, Ding, Ming, Kokshoorn, Matthew, Lin, Zihuai, Dang, Shuping, and Abbas, Rana
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Electrical Engineering and Systems Science - Signal Processing - Abstract
Millimeter wave (mmWave) has been claimed to be the only viable solution for high-bandwidth vehicular communications. However, frequent channel estimation and beamforming required to provide a satisfactory quality of service limits mmWave for vehicular communications. In this paper, we propose a novel channel estimation and beam tracking framework for mmWave communications in a vehicular network setting. For channel estimation, we propose an algorithm termed robust adaptive multi-feedback (RAF) that achieves comparable estimation performance as existing channel estimation algorithms, with a significantly smaller number of feedback bits. We derive upper and lower bounds on the probability of estimation error (PEE) of the RAF algorithm, given a number of channel estimations, whose accuracy is verified through Monte Carlo simulations. For beam tracking, we propose a new practical model for mmWave vehicular communications. In contrast to the prior works, the model is based on position, velocity, and channel coefficient, which allows a significant improvement of the tracking performance. Focused on the new beam tracking model, we re-derive the equations for Jacobian matrices, reducing the complexity for vehicular communications. An extensive number of simulations is conducted to show the superiority of our proposed channel estimation method and beam tracking algorithm in comparison with the existing algorithms and models. Our simulations suggest that the RAF algorithm can achieve the desired PEE, while on average, reducing the feedback overhead by 75.5% and the total channel estimation time by 14%. The beam tracking algorithm is also shown to significantly improve beam tracking performance, allowing more room for data transmission.
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- 2018
12. Short Block-length Codes for Ultra-Reliable Low-Latency Communications
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Shirvanimoghaddam, Mahyar, Mohamadi, Mohamad Sadegh, Abbas, Rana, Minja, Aleksandar, Yue, Chentao, Matuz, Balazs, Han, Guojun, Lin, Zihuai, Li, Yonghui, Johnson, Sarah, and Vucetic, Branka
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Computer Science - Information Theory - Abstract
This paper reviews the state of the art channel coding techniques for ultra-reliable low latency communication (URLLC). The stringent requirements of URLLC services, such as ultra-high reliability and low latency, have made it the most challenging feature of the fifth generation (5G) mobile systems. The problem is even more challenging for the services beyond the 5G promise, such as tele-surgery and factory automation, which require latencies less than 1ms and failure rate as low as $10^{-9}$. The very low latency requirements of URLLC do not allow traditional approaches such as re-transmission to be used to increase the reliability. On the other hand, to guarantee the delay requirements, the block length needs to be small, so conventional channel codes, originally designed and optimised for moderate-to-long block-lengths, show notable deficiencies for short blocks. This paper provides an overview on channel coding techniques for short block lengths and compares them in terms of performance and complexity. Several important research directions are identified and discussed in more detail with several possible solutions., Comment: Accepted for publication in IEEE Communications Magazine
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- 2018
13. Outcomes after anti-thymocyte globulin vs Basiliximab induction before deceased donor kidney transplants
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Hafeez, Muhammad Saad, Haq, Muneeb Ul, Bakhthiyar, Syed Shahyan, Azhar, Kumael, Awan, Ahmed Arslan Yousuf, Ramana Murthy, Bhamidipati V., and Abbas, Rana
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- 2022
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14. Money laundering and terror financing: issues and challenges in Pakistan
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Zia, Munir Ahmad, Abbas, Rana Zamin, and Arshed, Noman
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- 2022
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15. Disparate Intent-to-Treat Outcomes for Pediatric Liver Transplantation Based on Indication
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Anna Lang, Cameron Goff, Ashley Montgomery, Jake Lynn, Spoorthi Kamepalli, John Goss, and Abbas Rana
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Diseases of the digestive system. Gastroenterology ,RC799-869 - Abstract
Background. The impact of indication for pediatric liver transplantation on waitlist and post-transplant mortality outcomes is well known, but the impact on intent-to-treat outcomes has not been investigated. Intent-to-treat survival analysis is important in this study because it is more comprehensive, combining the transplant outcomes of waitlist mortality, post-transplant mortality, and transplant rate into a single metric to elucidate any disparities in outcomes based on indication. Methods. Cox regression was used to analyze factors impacting survival in 8,002 children listed for liver transplant in the UNOS database between 2006 and 2016. The Kaplan–Meier method and log-rank test were used to assess differences in waitlist, post-transplant, and intent-to-treat mortality among the top 5 indications of biliary atresia, acute hepatic necrosis, metabolic disorders, hepatoblastoma, and autoimmune cirrhosis. Results. When compared to the reference group of biliary atresia, multivariate analyses showed that every indication was associated with inferior intent-to-treat outcomes except for metabolic disorders. Hepatoblastoma (hazard ratio (HR): 3.73), autoimmune cirrhosis (HR: 1.86), and AHN (HR: 1.77) were associated with significantly increased intent-to-treat mortality. Hepatoblastoma was also associated with increased post-transplant mortality (HR: 3.77) and was the only indication significantly associated with increased waitlist mortality (HR: 6.43). Conclusion. Significant disparity exists across all indications with respect to an increased intent-to-treat mortality, along with an increased post-transplant and waitlist mortality, when compared to the biliary atresia reference group. If further studies validate these findings, a reexamination of the equitable distribution of allografts for transplant may be warranted as well as a focus on disparities in survival after transplant.
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- 2023
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16. Ultra-Reliable Low Latency Cellular Networks: Use Cases, Challenges and Approaches
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Chen, He, Abbas, Rana, Cheng, Peng, Shirvanimoghaddam, Mahyar, Hardjawana, Wibowo, Bao, Wei, Li, Yonghui, and Vucetic, Branka
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Computer Science - Information Theory - Abstract
The fifth-generation cellular mobile networks are expected to support mission critical ultra-reliable low latency communication (URLLC) services in addition to the enhanced mobile broadband applications. This article first introduces three emerging mission critical applications of URLLC and identifies their requirements on end-to-end latency and reliability. We then investigate the various sources of end-to-end delay of current wireless networks by taking the 4G Long Term Evolution (LTE) as an example. Subsequently, we propose and evaluate several techniques to reduce the end-to-end latency from the perspectives of error control coding, signal processing, and radio resource management. We also briefly discuss other network design approaches with the potential for further latency reduction., Comment: Accepted to appear in IEEE Communications Magazine
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- 2017
17. Grant-Free Massive NOMA: Outage Probability and Throughput
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Abbas, Rana, Shirvanimoghaddam, Mahyar, Li, Yonghui, and Vucetic, Branka
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Computer Science - Information Theory - Abstract
In this paper, we consider a massive uncoordinated non-orthogonal multiple access (NOMA) scheme where devices have strict latency requirements and no retransmission opportunities are available. Each device chooses a pilot sequence from a predetermined set as its signature and transmits its selected pilot and data simultaneously. A collision occurs when two or more devices choose the same pilot sequence. Collisions are treated as interference to the remaining received signals. We consider successive joint decoding (SJD) and successive interference cancellation (SIC) under a Rayleigh fading and path loss channel model. We first derive the expression for the outage probability for the case where devices transmit at the same fixed rate. Then, we derive the expression for the maximum achievable throughput for the case where devices transmit with rateless codes. Thus, their code rate is adaptive to the system conditions, i.e., load, received powers, and interference. Numerical results verify the accuracy of our analytical expressions. For low data rate transmissions, results show that SIC performs close to that of SJD in terms of outage probability for packet arrival rates up to 10 packets per slot. However, SJD can achieve almost double the throughput of SIC and is, thus, far more superior.
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- 2017
18. Random Multiple Access for M2M Communications with QoS Guarantees
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Abbas, Rana, Shirvanimoghaddam, Mahyar, Li, Yonghui, and Vucetic, Branka
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Computer Science - Information Theory - Abstract
We propose a novel random multiple access (RMA) scheme with quality of service (QoS) guarantees for machine-to-machine (M2M) communications. We consider a slotted uncoordinated data transmission period during which machine type communication (MTC) devices transmit over the same radio channel. Based on the latency requirements, MTC devices are divided into groups of different sizes, and the transmission frame is divided into subframes of different lengths. In each subframe, each group is assigned an access probability based on which an MTC device decides to transmit replicas of its packet or remain silent. The base station (BS) employs successive interference cancellation (SIC) to recover all the superposed packets. We derive the closed form expressions for the average probability of device resolution for each group, and we use these expressions to design the access probabilities. The accuracy of the expressions is validated through Monte Carlo simulations. We show that the designed access probabilities can guarantee the QoS requirements with high reliability and high energy efficiency. Finally, we show that RMA can outperform standard coordinated access schemes as well as some of the recently proposed M2M access schemes for cellular networks., Comment: 13 pages, 13 figures, 1 table
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- 2016
19. تحضير وتشخيص ودراسة صناعية وبايولوجية لليكاند صبغة الآزو وبعض أيوناتة الفلزية
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Hussein, Abaas Obaid, primary, Abbas, Rana Abdulilah, additional, Al-Zinkee, Jinan M. M., additional, and Jarad, AmerJ., additional
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- 2024
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20. Environmental Benefits and Risks of Herbicides Use in Forestry – Review
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Arshad, Muhammad Awais, primary, Rouf, Sana, additional, Abbas, Rana Nadeem, additional, Aleem, Kainat, additional, Sarwar, Amna, additional, Shahbaz, Zainab, additional, Baloch, Rania, additional, Rehman, Haseeb ur, additional, and Masood, Muhammad Talha, additional
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- 2024
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21. Enhancing Wheat Crop Resilience to Drought Stress through Cellulolytic Microbe-Enriched Cow Dung Vermicompost
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Ahmad, Ali, primary, Aslam, Zubair, additional, Abbas, Rana Nadeem, additional, Bellitürk, Korkmaz, additional, Hussain, Saddam, additional, Hussain, Sadam, additional, Ahmad, Muhammad, additional, Zulfiqar, Usman, additional, Moussa, Ihab Mohamed, additional, and Elshikh, Mohamed S., additional
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- 2024
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22. Eculizumab Utilization in Hemolytic Uremic Syndrome (HUS) Presenting with Acute Hemolysis
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Mousa, Ahmed, primary, Taher, Hussein, additional, Alyafi, Ahmad, additional, Alissawi, Sara, additional, Peeran, Israa, additional, Abbas, Rana, additional, Ashoor, Mohammed, additional, and Baothman, Abdullah, additional
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- 2024
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23. nnU-Net Deep Learning Method for Segmenting Parenchyma and Determining Liver Volume From Computed Tomography Images
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Rowland W. Pettit, BS, Britton B. Marlatt, MS, Stuart J. Corr, BE, MEE, MA, PhD, Jim Havelka, MS, MBA, and Abbas Rana, MD
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Surgery ,RD1-811 - Abstract
Background:. Recipient donor matching in liver transplantation can require precise estimations of liver volume. Currently utilized demographic-based organ volume estimates are imprecise and nonspecific. Manual image organ annotation from medical imaging is effective; however, this process is cumbersome, often taking an undesirable length of time to complete. Additionally, manual organ segmentation and volume measurement incurs additional direct costs to payers for either a clinician or trained technician to complete. Deep learning-based image automatic segmentation tools are well positioned to address this clinical need. Objectives:. To build a deep learning model that could accurately estimate liver volumes and create 3D organ renderings from computed tomography (CT) medical images. Methods:. We trained a nnU-Net deep learning model to identify liver borders in images of the abdominal cavity. We used 151 publicly available CT scans. For each CT scan, a board-certified radiologist annotated the liver margins (ground truth annotations). We split our image dataset into training, validation, and test sets. We trained our nnU-Net model on these data to identify liver borders in 3D voxels and integrated these to reconstruct a total organ volume estimate. Results:. The nnU-Net model accurately identified the border of the liver with a mean overlap accuracy of 97.5% compared with ground truth annotations. Our calculated volume estimates achieved a mean percent error of 1.92% + 1.54% on the test set. Conclusions:. Precise volume estimation of livers from CT scans is accurate using a nnU-Net deep learning architecture. Appropriately deployed, a nnU-Net algorithm is accurate and quick, making it suitable for incorporation into the pretransplant clinical decision-making workflow.
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- 2022
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24. Early Impact of MMaT-3 Policy on Liver Transplant Waitlist Outcomes for Hepatocellular Carcinoma
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Anjiya Shaikh, MBBS, Karthik Goli, BS, Nicole E. Rich, MD, Jihane N. Benhammou, MD, PhD, Saira Khaderi, MD, PhD, Ruben Hernaez, MD, PhD, Vatche G. Agopian, MD, John M. Vierling, MD, Donghee Kim, MD, PhD, Aijaz Ahmed, MD, John A. Goss, MD, Abbas Rana, MD, Fasiha Kanwal, MD, MSHS, and George Cholankeril, MD, MSECR,
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Surgery ,RD1-811 - Abstract
Background. To reduce the disparity in access to liver transplant (LT), United Network for Organ Sharing implemented an exception policy in May 2019, which capped hepatocellular carcinoma (HCC) exception score to the median Model for End-Stage Liver Disease (MELD) at transplant within the donor service area minus 3 points (MMaT-3) after the 6-mo wait period. We aimed to evaluate how this policy affected HCC waitlist outcomes. Methods. Using United Network for Organ Sharing data, we analyzed waitlist outcomes in HCC patients at the time they received exception points from in the pre-MMaT era (August 15, 2017, to November 15, 2018) and MMaT era (June 1, 2019, to August 30, 2020). Comparisons were made within the HCC group and HCC versus non-HCC (at time of listing) groups in the pre-MMaT and MMaT eras and regions were grouped as low, medium, and high MELD based on MMaT. Results. HCC group: LT probability within HCC patients decreased by 20% (subhazard ratio [sHR], 0.78; 95% confidence interval [CI], 0.74-0.85) between the eras and decreased by 41% in low MELD regions (sHR, 0.59; 95% CI, 0.52-0.66). Waitlist dropout was unchanged. Matched HCC versus non-HCC groups: HCC patients had 80% higher LT probability (sHR, 1.84; 95% CI, 1.71-1.99) than non-HCC patients in the pre-MMaT era; which decreased to a 14% higher LT probability in MMaT era. In low and medium regions, HCC patients had over twofold higher LT probability in the pre-MMaT era, which decreased to a ~20% higher probability (sHR, 1.14; 95% CI, 1.06-1.23) in the MMaT era. After implementation of the acuity circle policy, HCC patients had lower LT probability (sHR, 0.84; 95% CI, 0.74-0.94) than non-HCC patients. Conclusions. The geographic disparity between HCC and non-HCC patients has improved with the MMaT-3 policy. Despite lower LT probability for HCC patients, waitlist dropout was not adversely impacted.
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- 2022
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25. Rateless Coding Scheme Based on Autoregressive-Moving-Average Model over Ka-Band Links
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Jiao, Jian, Feng, Bowen, Abbas, Rana, Wu, Shaohua, Gu, Shushi, Zhang, Qinyu, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Ruediger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Mu, Jiasong, editor, Jia, Min, editor, Wang, Wei, editor, Feng, Xuhong, editor, and Zhang, Baoju, editor
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- 2019
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26. Recipient Age Predicts 20-Year Survival in Pediatric Liver Transplant
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Stephanie Keeling, Malcolm F. McDonald, Adrish Anand, Jordan Dunson, Elizabeth Williams, Theodore Zhang, Brian Hickner, Nhu Thao Nguyen Galván, Christine O’ Mahony, John A Goss, and Abbas Rana
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Diseases of the digestive system. Gastroenterology ,RC799-869 - Abstract
Introduction. Pediatric liver transplant recipients have demonstrated excellent long-term survival. The purpose of this analysis is to investigate factors associated with 20-year survival to identify areas for improvement in patient care. Methods. Kaplan–Meier with log-rank test as well as univariate and multivariate logistic regression methods were used to retrospectively analyze 4,312 liver transplant recipients under the age of 18 between September 30, 1987 and March 9, 1998. Our primary endpoint was 20-year survival among one-year survival. Results. Logistic regression analysis identified recipient age as a significant risk factor, with recipients below 5 years old having a higher 20-year survival rate (p
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- 2022
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27. Do Patients with Autoimmune Conditions Have Less Access to Liver Transplantation despite Superior Outcomes?
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Stephanie S. Keeling, Malcolm F. McDonald, Adrish Anand, Cameron R. Goff, Caroline R. Christmann, Spencer C. Barrett, Michael Kueht, John A. Goss, George Cholankeril, and Abbas Rana
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autoimmune liver disease ,organ allocation ,liver transplantation ,survival ,Medicine - Abstract
Orthotopic liver transplantation (OLT) is a lifesaving therapy for patients with irreversible liver damage caused by autoimmune liver diseases (AutoD) including autoimmune hepatitis (AIH), primary biliary cholangitis (PBC), and primary sclerosing cholangitis (PSC). Currently, it is unclear how access to transplantation differs among patients with various etiologies of liver disease. Our aim is to evaluate the likelihood of transplant and the long-term patient and graft survival after OLT for each etiology for transplantation from 2000 to 2021. We conducted a large retrospective study of United Network for Organ Sharing (UNOS) liver transplant patients in five 4-year eras with five cohorts: AutoD (PBC, PSC, AIH cirrhosis), alcohol-related liver disease (ALD), hepatocellular carcinoma (HCC), viral hepatitis, and nonalcoholic steatohepatitis (NASH). We conducted a multivariate analysis for probability of transplant. Intent-to-treat (ITT) analysis was performed to assess the 10-year survival differences for each listing diagnosis while accounting for both waitlist and post-transplant survival. Across all eras, autoimmune conditions had a lower adjusted probability of transplant of 0.92 (0.92, 0.93) compared to ALD 0.97 (0.97, 0.97), HCC 1.08 (1.07, 1.08), viral hepatitis 0.99 (0.99, 0.99), and NASH 0.99 (0.99, 1.00). Patients with AutoD had significantly better post-transplant patient and graft survival than ALD, HCC, viral hepatitis, and NASH in each and across all eras (p-values all < 0.001). Patients with AutoD had superior ITT survival (p-value < 0.001, log rank test). In addition, the waitlist survival for patients with AutoD compared to other listing diagnoses was improved with the exception of ALD, which showed no significant difference (p-value = 0.1056, log rank test). Despite a superior 10-year graft and patient survival in patients transplanted for AutoD, patients with AutoD have a significantly lower probability of receiving a liver transplant compared to those transplanted for HCC, ALD, viral hepatitis, and NASH. Patients with AutoD may benefit from improved liver allocation while maintaining superior waitlist and post-transplant survival. Decreased access in spite of appropriate outcomes for patients poses a significant risk for increased morbidity for patients with AutoD.
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- 2022
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28. Splenic Artery Transposition for Liver Transplantation: An Underutilized Technique?
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Matthew B. Goss, MS, N. Thao N. Galván, MD, MPH, Joseph D. Geha, DDS, Nicolas F. Moreno, BS, Ronald T. Cotton, MD, Abbas Rana, MD, Christine A. O’Mahony, MD, and John A. Goss, MD
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Surgery ,RD1-811 - Abstract
Background. Successful liver transplantation is dependent on restoration of hepatic arterial (HA) flow. Although uncommon, some native recipient HAs are not suitable or inadequate for anastomosis, thereby necessitating extra-anatomic HA reconstruction. Splenic artery transposition (SAT) is 1 method of HA reconstruction, in which the recipient splenic artery is transposed to reestablish perfusion of the donor liver. Due to the rarity of the technique, literature describing outcomes is limited. In the current report, we describe 3 patients (2 adults, 1 pediatric) who underwent complex upper abdominal surgery before whole-organ deceased donor liver transplantation with SAT. Methods. The demographic and patient care information was collected prospectively and subsequently reviewed retrospectively. Given the de-identified nature of the data included, this study was exempt from approval from an ethics board. Results. Recipient splenic arteries were dissected from their origin at the celiac trunk, for approximately 3–5 cm to ensure a gentle anterior-cranial curve toward the right upper quadrant, allowing anastomosis to the donor celiac trunk in an end-to-end fashion. Postoperatively, all 3 patients had rapid normalization of liver function tests and brisk HA flow demonstrated by Doppler ultrasound. Longer-term follow-up, ranging from 1 to 3 years, reveals continued patency of the reconstructed HAs and liver function tests within normal limits. Conclusions. Our experience points to SAT as a safe and effective technique for extra-anatomic HA reconstruction.
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- 2021
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29. Metabolomic biomarkers are associated with mortality in patients with cirrhosis caused by primary biliary cholangitis or primary sclerosing cholangitis
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Ayse L Mindikoglu, Cristian Coarfa, Antone R Opekun, Vijay H Shah, Juan P Arab, Konstantinos N Lazaridis, Nagireddy Putluri, Chandrashekar R Ambati, Matthew J Robertson, Sridevi Devaraj, Prasun K Jalal, Abbas Rana, John A Goss, Thomas C Dowling, Matthew R Weir, Stephen L Seliger, Jean-Pierre Raufman, David W Bernard, and John M Vierling
- Subjects
biomarker ,cirrhosis ,liver transplantation ,MELD-Na score ,metabolite ,metabolomics ,Medicine ,Medicine (General) ,R5-920 - Abstract
Aim: To assess the ability of signature metabolites alone, or in combination with the model for end-stage liver disease-Na (MELD-Na) score to predict mortality in patients with cirrhosis caused by primary biliary cholangitis or primary sclerosing cholangitis. Materials & methods: Plasma metabolites were detected using ultrahigh-performance liquid chromatography/tandem mass spectrometry in 39 patients with cirrhosis caused by primary biliary cholangitis or primary sclerosing cholangitis. Mortality was predicted using Cox proportional hazards regression and time-dependent receiver operating characteristic curve analyses. Results: The top five metabolites with significantly greater accuracy than the MELD-Na score (area under the receiver operating characteristic curve [AUROC] = 0.7591) to predict 1-year mortality were myo-inositol (AUROC = 0.9537), N-acetylputrescine (AUROC = 0.9018), trans-aconitate (AUROC = 0.8880), erythronate (AUROC = 0.8345) and N6-carbamoylthreonyladenosine (AUROC = 0.8055). Several combined MELD-Na-metabolite models increased the accuracy of predicted 1-year mortality substantially (AUROC increased from 0.7591 up to 0.9392). Conclusion: Plasma metabolites have the potential to enhance the accuracy of mortality predictions, minimize underestimates of mortality in patients with cirrhosis and low MELD-Na scores, and promote equitable allocation of donor livers.
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- 2020
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30. Phytohormones Promote the Growth, Pigment Biosynthesis and Productivity of Green Gram [Vigna radiata (L.) R. Wilczek]
- Author
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Iqbal, Asif, primary, Iqbal, Muhammad Aamir, additional, Akram, Iqra, additional, Saleem, Muhammad Abdullah, additional, Abbas, Rana Nadeem, additional, Alqahtani, Mashael Daghash, additional, Ahmed, Raees, additional, and Rahim, Junaid, additional
- Published
- 2023
- Full Text
- View/download PDF
31. Correlation and outcome of Vitamin D polymorphism in Primary Immune Thrombocytopenic purpura patients under Eltrombopag therapy
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El Salakawy, Walaa, primary, Said, Rasha, additional, Abd Elaziz, Doaa, additional, Abbas, Rana, additional, Ali, Basma, additional, and Hamdy, Rana, additional
- Published
- 2023
- Full Text
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32. A modified Kidney Donor Risk Index for pediatric kidney transplant recipients
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Ashley Montgomery, Cameron Goff, Bolatito Adeyeri, Liam D. Ferreira, Spoorthi Kamepalli, Jake Lynn, Nhu Thao Nguyen Galvan, Poyyapakkam R. Srivaths, Eileen D. Brewer, and Abbas Rana
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Nephrology ,Pediatrics, Perinatology and Child Health - Abstract
The Kidney Donor Risk Index (KDRI) by Rao et al. was developed to measure the quality of kidney allografts. While Rao's KDRI has been found to be a robust measure of kidney allograft survival for adult kidney transplant recipients, many studies have indicated the need to create a distinct pediatric KDRI.Our retrospective study utilized data from the United Network for Organ Sharing database. We examined 9295 deceased donor recipients' data for age 18 years from 1990 to 2020. We performed a multivariate Cox regression to determine the significant recipient and transplant factors impacting pediatric kidney allograft survival.Multivariate analysis found 5 donor factors to be independently associated with graft failure or recipient death: age, female sex, anoxia as the cause of death, history of cigarette use, and cold ischemia time. Using receiver operator characteristic (ROC) curve analysis and analyzing the predictive value of each KDRI at 1, 5, and 10 years, the proposed pediatric KDRI had a statistically significant and higher predictive value for pediatric recipients at 5 (0.60 versus 0.57) and 10 years (0.61 versus 0.57) than the Rao KDRI.The proposed pediatric KDRI may provide a more accurate and simpler index to assess the quality of kidney allografts for pediatric recipients. However, due to the mild increase in predictive capabilities over the Rao index, the study serves as a proof of concept to develop a pediatric KDRI. Further studies should focus on increasing the index's predictive capabilities. A higher resolution version of the Graphical abstract is available as Supplementary information.
- Published
- 2022
33. Survival following liver transplantation for hepatocellular carcinoma after implementation of MMaT-3 policy
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Anjiya Shaikh, Tzu-Hao Lee, Nicole E. Rich, Jihane N. Benhammou, Peter Lymberopoulos, Vatche G. Agopian, Donghee Kim, Aijaz Ahmed, Ruben Hernaez, Carl L. Berg, John Goss, Abbas Rana, Fasiha Kanwal, and George Cholankeril
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Transplantation ,Hepatology ,Surgery - Published
- 2023
34. Development and validation of a REcurrent Liver cAncer Prediction ScorE (RELAPSE) following liver transplantation in patients with hepatocellular carcinoma: analysis of the us multicenter hcc transplant consortium
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Benjamin V. Tran, Dimitrios Moris, Daniela Markovic, Hamed Zaribafzadeh, Ricardo Henao, Quirino Lai, Sander S. Florman, Parissa Tabrizian, Brandy Haydel, Richard M. Ruiz, Goran B. Klintmalm, David D. Lee, C. Burcin Taner, Maarouf Hoteit, Matthew H. Levine, Umberto Cillo, Alessandro Vitale, Elizabeth C. Verna, Karim J. Halazun, Amit D. Tevar, Abhinav Humar, William C. Chapman, Neeta Vachharajani, Federico Aucejo, Jan Lerut, Olga Ciccarelli, Mindie H. Nguyen, Marc L. Melcher, Andre Viveiros, Benedikt Schaefer, Maria Hoppe-Lotichius, Jens Mittler, Trevor L. Nydam, James F. Markmann, Massimo Rossi, Constance Mobley, Mark Ghobrial, Alan N. Langnas, Carol A. Carney, Jennifer Berumen, Gabriel T. Schnickel, Debra L. Sudan, Johnny C. Hong, Abbas Rana, Christopher M. Jones, Thomas M. Fishbein, Ronald W. Busuttil, Andrew S. Barbas, and Vatche G. Agopian
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Transplantation ,Hepatology ,Surgery - Published
- 2023
35. A novel risk score for predicting prolonged length of stay following pediatric kidney transplant
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Michael DiLeo, John J. Miggins, Eileen D. Brewer, N. Thao N. Galván, and Abbas Rana
- Abstract
Background Kidney transplants (KT) are accepted as the kidney replacement therapy of choice for children with kidney failure. The surgery itself may be more difficult especially in small children, and often leads to significant hospital stays. There is little research for predicting prolonged length of stay (LOS) in children. We aim to examine the factors associated with prolonged LOS following pediatric KT to help clinicians make informed decisions, better counsel families, and potentially reduce preventable causes of prolonged stay. Methods We retrospectively analyzed the United Network for Organ Sharing database for all KT recipients less than 18-years-old between January 2014 and July 2022 (n = 3,693). Donor and recipient factors were tested in univariate and multivariate logistic analysis using stepwise elimination of non-significant factors to create a final regression model predicting LOS longer than 14 days. Values were assigned to significant factors to create risk scores for each individual patient. Results In the final model, only primary diagnosis of focal segmental glomerulosclerosis, dialysis prior to KT, geographic region, and recipient weight prior to KT were significant predictors of LOS longer than 14 days. The C-statistic of the model is 0.7308. The C-statistic of the risk score is 0.7221. Conclusions Knowledge of the risk factors affecting prolonged LOS following pediatric KT can help identify patients at risk of increased resource use and potential hospital-acquired complications. Using our index, we identified some of these specific risk factors and created a risk score that can stratify pediatric recipients into low, medium, or high-risk groups.
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- 2023
36. Design of Probabilistic Random Access in Cognitive Radio Networks
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Abbas, Rana, Shirvanimoghaddam, Mahyar, Li, Yonghui, Vucetic, Branka, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Weichold, Mark, editor, Hamdi, Mounir, editor, Shakir, Muhammad Zeeshan, editor, Abdallah, Mohamed, editor, Karagiannidis, George K., editor, and Ismail, Muhammad, editor
- Published
- 2015
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37. Clinical Course and Outcomes of Patients with Nonalcoholic Fatty Liver Disease-Related Hepatocellular Cancer (NAFLD-HCC)
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Jinna Chu, George Cholankeril, Xian Yu, Abbas Rana, Yamini Natarajan, Hashem B. El-Serag, Jennifer Kramer, and Fasiha Kanwal
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Physiology ,Gastroenterology ,Article - Abstract
BACKGROUND & AIMS: Among etiologies for hepatocellular (HCC), nonalcoholic fatty liver disease (NAFLD) carries a high risk of competing non-cancer mortality. The effect of cancer and non-cancer factors on risk of death after NAFLD-HCC diagnosis remains unclear. We aimed to evaluate the role of non-cancer mortality with NAFLD-HCC. METHODS: Using a retrospective cohort of patients with NAFLD diagnosed at 130 facilities in the Veterans Administration, we identified patients with incident HCC diagnosed between January 1, 2005 and June 30, 2018. We determined cause of death as HCC-related, non-HCC liver-related, and non-liver-related after HCC diagnosis. We used Cox proportional hazards regression models to evaluate the effect of clinical factors on cause-specific mortality after NAFLD-HCC diagnosis. RESULTS: We identified 776 patients with incident HCC. Mean age at HCC diagnosis was 70.1 year, 22.2% had Barcelona Clinic Liver Cancer (BCLC) stage 0-A, and 67.0% had more than one comorbidity. 1- and 3-year mortality rates were 47.0% and 69.6%, respectively. Most deaths (72.2% at 3 years) were attributable to HCC. In HCC patients who received curative treatment, non-cancer mortality accounted for 40% of all deaths between 3 and 5 years after treatment. Poor performance status (ECOG 3/4, HR 5.03, 95% CI: 2.59–9.77) and older age (65–75, HR 1.94, 95% CI: 1.06–3.54) were strongly associated with non-cancer mortality. CONCLUSION: Although most patients with NAFLD-HCC die of HCC, non-cancer mortality represents a clinically meaningful competing event for patients receiving curative treatment, underscoring the importance of assessing and managing risk factors of non-cancer morbidity and mortality. TRIAL AND REGISTRATION: N/A.
- Published
- 2022
38. PLATELET/ LYMPHOCYTE RATIO (PLR) PREDICTIVE VALUE IN IMMUNE THROMBOCYTOPENIC PURPURA PATIENTS
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Mohamed, Inas, primary, Abbas, Rana, additional, Amer, Aya, additional, and Hassan, Essam, additional
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- 2023
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39. Overviewing Drought and Heat Stress Amelioration—From Plant Responses to Microbe-Mediated Mitigation
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Iqbal, Saima, primary, Iqbal, Muhammad Aamir, additional, Li, Chunjia, additional, Iqbal, Asif, additional, and Abbas, Rana Nadeem, additional
- Published
- 2023
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40. Cutaneous Mucormycosis in Solid Organ Transplant Recipients after Hurricane Harvey: Short- and Long-term Management
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Michael Kueht, MD, Joshua A. Villarreal, BS, Edward Reece, MD, N. Thao N. Galvan, MD, MPH, Krupa Mysore, MD, Alejandro Restrepo, MD, Norma Quintanilla, MD, Abbas Rana, MD, and John Goss, MD
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Surgery ,RD1-811 - Abstract
Summary:. In the fall of 2017, Hurricane Harvey, one of the most costly hurricanes in American history, ravaged the Texas Gulf Coast, interrupting basic sanitation systems to hundreds of thousands of Texas residents. In the aftermath of Hurricane Harvey, our Houston hospitals noted an uptick in the incidence of cases of mucormycosis. Among the most vulnerable and affected have been immunocompromised transplant recipients. Here, we describe the successful management of 2 patients with atypical presentations of mucormycosis, 2 cutaneous infections after liver transplantation. Our comprehensive treatment strategy based upon guidelines and experience included coordinating aggressive surgical and medical therapies. We discuss our approach to surgical management including the extent and frequency of debridement, the methods of assessing disease-free margins, and minimizing the morbidity of radical debridement with temporary coverage and forethought to long-term reconstruction. Additionally, we describe the concurrent medical management, including type, route, and duration of antifungal therapy, minimizing suppression of the innate immune system, and optimizing the wound healing environment through maintaining nutritional status.
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- 2019
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41. The utility of machine learning for predicting donor discard in abdominal transplantation
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Rowland W. Pettit, Britton B. Marlatt, Travis J. Miles, Selim Uzgoren, Stuart J. Corr, Anil Shetty, Jim Havelka, and Abbas Rana
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Transplantation - Published
- 2023
42. Post-transplant outcomes for alcohol-associated liver disease during the COVID-19 pandemic
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Karthik Goli, Peter Lymberopoulos, Ronald Samuel, Anjiya Shaikh, Nisha Parakadavil, Donghee Kim, Aijaz Ahmed, John A. Goss, Abbas Rana, Tzu-Hao Lee, Fasiha Kanwal, and George Cholankeril
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Transplantation ,Hepatology ,Surgery - Published
- 2023
43. Rateless Coding Scheme Based on Autoregressive-Moving-Average Model over Ka-Band Links
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Jiao, Jian, primary, Feng, Bowen, additional, Abbas, Rana, additional, Wu, Shaohua, additional, Gu, Shushi, additional, and Zhang, Qinyu, additional
- Published
- 2018
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44. Cultural values and Facebook use among Palestinian youth in Israel
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Abbas, Rana and Mesch, Gustavo S.
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- 2015
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45. Reduction in the Allelopathic Potential of Conocarpus erectus L. through Vermicomposting
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Rehman, Sami ur, primary, Aslam, Zubair, additional, Aljuaid, Bandar S., additional, Abbas, Rana Nadeem, additional, Bashir, Saqib, additional, Almas, Munawar Hussain, additional, Awan, Tahir Hussain, additional, Belliturk, Korkmaz, additional, Al-Taisan, Wafa’a A., additional, Mahmoud, Samy F., additional, and Bashir, Safdar, additional
- Published
- 2022
- Full Text
- View/download PDF
46. Reduction in Racial and Ethnic Disparity in Survival Following Liver Transplant for Hepatocellular Carcinoma in the Direct-acting Antiviral Era
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Anjiya Shaikh, Karthik Goli, Tzu-Hao Lee, Nicole E. Rich, Jihane N. Benhammou, Stephanie Keeling, Donghee Kim, Aijaz Ahmed, John Goss, Abbas Rana, Amit G. Singal, Fasiha Kanwal, and George Cholankeril
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Hepatology ,Gastroenterology - Abstract
Black patients with hepatocellular cancer (HCC), often attributed to hepatitis C virus (HCV) infection, have suboptimal survival following liver transplant (LT). We evaluated the impact of direct-acting antiviral (DAA) availability on racial and ethnic disparities in wait list burden post-LT survival for candidates with HCC.Using the United Network for Organ Sharing registry, we identified patients with HCC who were listed and/or underwent LT from 2009 to 2020. Based on date of LT, patients were categorized into 2 era-based cohorts: the pre-DAA era (LT between 2009 and 2011) and DAA era (LT between 2015 and 2017, with follow-up through 2020). Kaplan-Meier and Cox proportional hazards analyses were used to compare post-LT survival, stratified by era and race and ethnicity.Annual wait list additions for HCV-related HCC decreased significantly in White and Hispanic patients during the DAA era, with no change (P = .14) in Black patients. Black patients had lower 3-year survival than White patients in the pre-DAA era (70.6% vs 80.1%, respectively; P.001) but comparable survival in the DAA era (82.1% vs 85.5%, respectively; P = .16). 0n multivariable analysis, Black patients in the pre-DAA era had a 53% higher risk (adjusted hazard ratio [HR], 1.53; 95% confidence interval [CI], 1.28-1.84), for mortality than White patients, but mortality was comparable in the DAA era (adjusted HR, 1.23; 95% CI, 0.99-1.52). In a stratified analysis in Black patients, HCV-related HCC carried more than a 2-fold higher risk of mortality in the pre-DAA era (adjusted HR, 2.86; 95% CI, 1.50-5.43), which was reduced in the DAA era (adjusted HR, 1.34; 95% CI, 0.78-2.30).With the availability of DAA therapy, racial disparities in post-LT survival have improved.
- Published
- 2022
47. Mending a Broken Heart: Treatment of Stress-Induced Heart Failure after Solid Organ Transplantation
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N. Thao Galván, Kayla Kumm, Michael Kueht, Cindy P. Ha, Dor Yoeli, Ronald T. Cotton, Abbas Rana, Christine A. O’Mahony, Glenn Halff, and John A. Goss
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Surgery ,RD1-811 - Abstract
Stress-induced heart failure, also known as Broken Heart Syndrome or Takotsubo Syndrome, is a phenomenon characterized as rare but well described in the literature, with increasing incidence. While more commonly associated with postmenopausal women with psychiatric disorders, this entity is found in the postoperative patient. The nonischemic cardiogenic shock manifests as biventricular failure with significant decreases in ejection fraction and cardiac function. In a review of over 3000 kidney and liver transplantations over the course of 17 years within two transplant centers, we describe a series of 7 patients with Takotsubo Syndrome after solid organ transplantation. Furthermore, we describe a novel approach of successfully treating the transient, though potentially fatal, cardiogenic shock with a percutaneous ventricular assistance device in two liver transplant patients, while treating one kidney transplant patient medically and the remaining four liver transplant patients with an intra-aortic balloon pump. We describe our experience with Takotsubo’s Syndrome and compare the three modalities of treatment and cardiac augmentation. Our series is novel in introducing the percutaneous ventricular assist device as a more minimally invasive intervention in treating nonischemic heart failure in the solid organ transplant patient, while serving as a comprehensive overview of treatment modalities for stress-induced heart failure.
- Published
- 2018
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48. Elevated serum sodium in recipients of liver transplantation has a substantial impact on outcomes
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Cameron R. Goff, John A. Goss, Spencer C. Barrett, Caroline R. Christmann, Fasiha Kanwal, Malcolm F McDonald, Adrish Anand, Abbas Rana, Thao Galvan, George Cholankeril, Tahir H Malik, and Stephanie S. Keeling
- Subjects
medicine.medical_specialty ,Sodium ,medicine.medical_treatment ,chemistry.chemical_element ,Liver transplantation ,Gastroenterology ,Elevated serum ,chemistry.chemical_compound ,Risk Factors ,Internal medicine ,Humans ,Medicine ,Retrospective Studies ,Transplantation ,Creatinine ,Hypernatremia ,business.industry ,Proportional hazards model ,medicine.disease ,Liver Transplantation ,surgical procedures, operative ,chemistry ,Graft survival ,business ,Hyponatremia - Abstract
Dysnatremias are a rare but significant event in liver transplantation. While recipient pre-transplant hypernatremia has been demonstrated to increase post-transplant mortality, the degree of hypernatremia and the impact of its resolution have been less well characterized. Here, we used multivariate Cox regression with a comprehensive list of donor and recipient factors in order to conduct a robust multivariate retrospective database study of 54,311 United Network for Organ Sharing (UNOS) liver transplant patients to analyze the effect of pre-transplant serum sodium on post-transplant mortality, post-transplant length of hospitalization, and post-transplant graft survival. Mortality and graft failure increased in a stepwise fashion with increasing pre-transplant hypernatremia: 145 -150 mEq/L (HR = 1.118 and HR = 1.113), 150-155 mEq/L (HR = 1.324 and HR = 1.306), and > 155 mEq/L (HR = 1.623 and HR = 1.661). Pre-transplant hypo- and hypernatremia also increased length of post-transplant hospitalization: < 125 mEq/L (HR = 1.098), 125-130 mEq/L (HR = 1.060), 145 -150 mEq/L (HR = 1.140), and 150-155 mEq/L (HR = 1.358). Resolution of hypernatremia showed no significant difference in mortality compared with normonatremia, while unresolved hypernatremia significantly increased mortality (HR = 1.254), including a durable long-term increased mortality risk for patients with creatinine < 2 mg/dL and MELD < 25. Pre-transplant hypernatremia serves as a morbid prognostic indicator for post-transplant morbidity and mortality.
- Published
- 2021
49. Contemporary Changes in Etiology for Hepatocellular Carcinoma in Liver Transplantation
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Cameron Goff, Anjiya Shaikh, Karthik Goli, Hashem B. El-Serag, Fasiha Kanwal, George Cholankeril, Abbas Rana, Faud Z. Aloor, Rosann Cholankeril, Nicole E. Rich, Jihane N. Benhammou, Donghee Kim, Aijaz Ahmed, and John Goss
- Subjects
Hepatology ,Gastroenterology - Published
- 2022
50. Bioactivity against Staphylococcus aureus of New Nanoparticles Derived from Iron Oxide and Beta vulgaris Extracts and Synthesis Characterization
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Khalid Mohammad, Manal, primary, Hameed Ahmed, Sundus, additional, and Fadhil Abbas, Rana, additional
- Published
- 2022
- Full Text
- View/download PDF
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