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Factors Affecting Inpatient Mortality In Elderly People With Acute Kidney Injury, Muhammad Abdul Mabood Khalil, Safia Awan, Rabeea Azmat, Muhammad Ullah Khalil, Nazish Naseer, Jackson Tan 2018 Aga Khan University

Factors Affecting Inpatient Mortality In Elderly People With Acute Kidney Injury, Muhammad Abdul Mabood Khalil, Safia Awan, Rabeea Azmat, Muhammad Ullah Khalil, Nazish Naseer, Jackson Tan

Section of Nephrology

Background: Acute Kidney Injury (AKI) is common in elderly people (EP). There is paucity of data on predictor of mortality in EP with AKI.

Objective: This study was done to know more about factors associated with inpatient mortality in EP with AKI.

Methods: We retrospectively reviewed medical records of patients aged 65 years or above hospitalized with a diagnosis of AKI at Aga Khan University Hospital, Karachi, between January 2005 and December 2010. Binary logistic regression models were constructed to identify factors associated with mortality in EP with AKI.

Results: 431 patients had AKI, with 341 (79.1%) having stage ...


Original Parts: Aging And Reckoning With Cystic Fibrosis Related Kidney Disease, Alexandra CH Nowakowski 2018 Florida State University College of Medicine

Original Parts: Aging And Reckoning With Cystic Fibrosis Related Kidney Disease, Alexandra Ch Nowakowski

Patient Experience Journal

Kidney disease increasingly impacts people with cystic fibrosis (CF) as adult patients continue to survive longer. Yet the literature on CF related kidney disease focuses little on amplifying the voices of people aging with the condition. This article presents perspectives on CF related kidney disease from a medical sociologist who is themselves managing these issues. It (1) gives an overview of relevant literature and trends in epidemiological data on kidney disease and CF, (2) details the author’s own process of adjusting to progressive changes in renal function, and (3) outlines opportunities for clinicians to make a positive impact for ...


Legionnaire's Disease Presenting With Severe Rhabdomyolysis And Acute Renal Failure: A Case Report, Benjamin Plotz, Victoria K. Shanmugam 2018 George Washington University

Legionnaire's Disease Presenting With Severe Rhabdomyolysis And Acute Renal Failure: A Case Report, Benjamin Plotz, Victoria K. Shanmugam

GW Research Days 2016 - Present

Legionnaire's disease is caused by Legionella species, and is a recognized but rare cause of rhabdomyolysis. Legionella species live in water, and exposure to inoculated water systems leads to transmission of the disease, and commonly causes pneumonia in infected individuals. While the mechanism of muscle destruction legionella infection causes is not fully understood, the prevailing theory is that rhabdomyolysis is linked to an endotoxin released by the bacteria into the blood stream. Massive muscle necrosis manifests as limb weakness, muscle pain, swelling, and gross pigmenturia due to the release of electrolytes, myoglobin, and other sarcoplasmic proteins into the bloodstream ...


Evaluating The Impact Of A Standardized Education Class On A Person Diagnosed With Chronic Kidney Disease, Stage Iv, Nancy K. Uhland, DNP, MSN, RN, FNP-C 2018 George Washington University

Evaluating The Impact Of A Standardized Education Class On A Person Diagnosed With Chronic Kidney Disease, Stage Iv, Nancy K. Uhland, Dnp, Msn, Rn, Fnp-C

Doctor of Nursing Practice Projects

Background: Chronic kidney disease (CKD) is a complex, progressive, and costly disease impacting more than 26 million Americans. Providing effective education is necessary so the patient may actively participate in managing the disease process, but the effectiveness of the delivery of education to the patient with CKD is not well-known.

Objective: To evaluate the effectiveness of a standardized education class on the basic kidney knowledge of persons diagnosed with CKD, stage IV.

Method: This pilot study, using a one-group pre and post-test design, was conducted in an outpatient nephrology clinic located in Washington, D.C. The study participants, recruited using ...


Positive Surgical Margins In Nephron-Sparing Surgery; The Great Unknown, Dan Spinu, Oana M. Bodean, Bogdan Socea, Dan Mischianu, Ioana Oprea, Radu D. Marcu 2018 Carol Davila University of Medicine and Farmacy, Central Military Emergency University Hospital, Department of Urology

Positive Surgical Margins In Nephron-Sparing Surgery; The Great Unknown, Dan Spinu, Oana M. Bodean, Bogdan Socea, Dan Mischianu, Ioana Oprea, Radu D. Marcu

Journal of Mind and Medical Sciences

There is a currently a general trend towards organ-preserving surgery, and urology is no exception. Specifically, nephron-sparing surgery (NSS) has gained general acceptance for T1a renal cell carcinoma (guidelines recommendations). Moreover T1b, T2 and even T3 stage tumors have been included on the nephron sparing list at some centers. An unresolved issue is that of positive surgical margins (PSM), not only their detection but also the implications for follow up and treatment. This paper highlights data available on risk factors for PSM, their clinical relevance, and possible therapeutic consequences.

From the surgeon’s viewpoint, NSS is a daring and risky ...


Nephron Segment-Specific Gene Expression Using Aav Vectors., Laureano D Asico, Santiago Cuevas, Xiaobo Ma, Pedro A Jose, Ines Armando, Prasad R Konkalmatt 2018 George Washington University

Nephron Segment-Specific Gene Expression Using Aav Vectors., Laureano D Asico, Santiago Cuevas, Xiaobo Ma, Pedro A Jose, Ines Armando, Prasad R Konkalmatt

Medicine Faculty Publications

AAV9 vector provides efficient gene transfer in all segments of the renal nephron, with minimum expression in non-renal cells, when administered retrogradely via the ureter. It is important to restrict the transgene expression to the desired cell type within the kidney, so that the physiological endpoints represent the function of the transgene expressed in that specific cell type within kidney. We hypothesized that segment-specific gene expression within the kidney can be accomplished using the highly efficient AAV9 vectors carrying the promoters of genes that are expressed exclusively in the desired segment of the nephron in combination with administration by retrograde ...


Cardiovascular Effects Of Metabolic Syndrome After Transplantation: Convergence Of Obesity And Transplant-Related Factors., Kristen Sgambat, Sarah Clauss, Asha Moudgil 2018 George Washington University

Cardiovascular Effects Of Metabolic Syndrome After Transplantation: Convergence Of Obesity And Transplant-Related Factors., Kristen Sgambat, Sarah Clauss, Asha Moudgil

Pediatrics Faculty Publications

Children are at increased risk of developing metabolic syndrome (MS) after kidney transplantation, which contributes to long-term cardiovascular (CV) morbidities and decline in allograft function. While MS in the general population occurs due to excess caloric intake and physical inactivity, additional chronic kidney disease and transplant-related factors contribute to the development of MS in transplant recipients. Despite its significant health consequences, the interplay of the individual components in CV morbidity in pediatric transplant recipients is not well understood. Additionally, the optimal methods to detect early CV dysfunction are not well defined in this unique population. The quest to establish clear ...


Fluid Balance Concepts In Medicine: Principles And Practice., Maria-Eleni Roumelioti, Robert H Glew, Zeid J Khitan, Helbert Rondon-Berrios, Christos P Argyropoulos, Deepak Malhotra, Dominic S Raj, Emmanuel I Agaba, Mark Rohrscheib, Glen H Murata, Joseph I Shapiro, Antonios H Tzamaloukas 2018 George Washington University

Fluid Balance Concepts In Medicine: Principles And Practice., Maria-Eleni Roumelioti, Robert H Glew, Zeid J Khitan, Helbert Rondon-Berrios, Christos P Argyropoulos, Deepak Malhotra, Dominic S Raj, Emmanuel I Agaba, Mark Rohrscheib, Glen H Murata, Joseph I Shapiro, Antonios H Tzamaloukas

Medicine Faculty Publications

The regulation of body fluid balance is a key concern in health and disease and comprises three concepts. The first concept pertains to the relationship between total body water (TBW) and total effective solute and is expressed in terms of the tonicity of the body fluids. Disturbances in tonicity are the main factor responsible for changes in cell volume, which can critically affect brain cell function and survival. Solutes distributed almost exclusively in the extracellular compartment (mainly sodium salts) and in the intracellular compartment (mainly potassium salts) contribute to tonicity, while solutes distributed in TBW have no effect on tonicity ...


Physical Therapy Considerations For Chronic Kidney Disease And Secondary Sarcopenia, Michael O. Harris-Love, Haniel J. Hernandez, Gideon Obamwonyi 2018 George Washington University

Physical Therapy Considerations For Chronic Kidney Disease And Secondary Sarcopenia, Michael O. Harris-Love, Haniel J. Hernandez, Gideon Obamwonyi

Exercise and Nutrition Sciences Faculty Publications

Chronic kidney disease (CKD) is a progressive condition that may negatively affect musculoskeletal health. These comorbidities may include malnutrition, osteoporosis, and decreased lean body mass. Secondary sarcopenia due to CKD may be associated with mobility limitations and elevated fall risk. Physical therapists are well-positioned among the health care team to screen for secondary sarcopenia in those with CKD and for the treatment of musculoskeletal comorbid conditions that may affect functional performance. Given the consequences of both low muscle mass and low bone mineral density, appropriate and timely physical therapy is important for fall risk assessment and intervention to minimize the ...


Percutaneous Externally Assembled Laparoscopic (Peal) Donor Nephrectomy: A Cohort Pain Comparison, Tyler Miskin, Isaac Kelly, Matthew Pierce, Samuel Abourbih, Duane D. Baldwin 2017 Loma Linda University Health Department of Urology

Percutaneous Externally Assembled Laparoscopic (Peal) Donor Nephrectomy: A Cohort Pain Comparison, Tyler Miskin, Isaac Kelly, Matthew Pierce, Samuel Abourbih, Duane D. Baldwin

Loma Linda University Student Journal

Donor nephrectomies can be technically demanding. Donors also may not be fully psychologically prepared for their post-operative pain or cosmetic outcome. A novel Percutaneous Externally Assembled Laparoscopic (PEAL) paradigm was developed to decrease incisional pain and laparoscopic scars. The aim of this study is to compare the post-operative outcomes between donor nephrectomies performed with and without the PEAL instruments.


Effect Of Hyperchloremia On Acute Kidney Injury In Critically Ill Septic Patients: A Retrospective Cohort Study, Lenar Yessayan, Javier A. Neyra, Fabrizio Canepa-Escaro, George Vasquez-Rios, Michael Heung, Jerry Yee, Acute Kidney Injury in Critical Illness Study Group 2017 University of Michigan - Ann Arbor

Effect Of Hyperchloremia On Acute Kidney Injury In Critically Ill Septic Patients: A Retrospective Cohort Study, Lenar Yessayan, Javier A. Neyra, Fabrizio Canepa-Escaro, George Vasquez-Rios, Michael Heung, Jerry Yee, Acute Kidney Injury In Critical Illness Study Group

Internal Medicine Faculty Publications

Background: Hyperchloremia is common in critically ill septic patients. The impact of hyperchloremia on the incidence of acute kidney injury (AKI) is not well studied. We investigated the association between hyperchloremia and AKI within the first 72 h of intensive care unit (ICU) admission.

Methods: 6490 ICU adult patients admitted with severe sepsis or septic shock were screened for eligibility. Exclusion criteria included: AKI on admission, baseline estimated glomerular filtration rate (eGFR) < 15 ml/min/1.73 m2, chronic renal replacement therapy, absent baseline serum creatinine data, and absent serum chloride data on ICU admission.

Results: A total of 1045 patients were available for analysis ...


Idiopathic Nodular Glomerulosclerosis In A Chronic Marijuana User; A Case Report And Review Of The Literature, Mehri Mollaee, Tibor Fülöp, Sohil Abdul Salim, Seyed Mehrdad Hamrahian 2017 Thomas Jefferson University

Idiopathic Nodular Glomerulosclerosis In A Chronic Marijuana User; A Case Report And Review Of The Literature, Mehri Mollaee, Tibor Fülöp, Sohil Abdul Salim, Seyed Mehrdad Hamrahian

Department of Pathology, Anatomy and Cell Biology Faculty Papers

Background: Nodular glomerulosclerosis is a characteristic histological finding of diabetic nephropathy (DN) with thickened glomerular basement membrane (GBM) and hyalinized arterioles. Idiopathic nodular glomerulosclerosis (ING), a rare distinct clinicopathologic entity, is the term used to denote classic DN confirmed by light microscopy, immuno-fluorescence, and electron microscopy in the absence of diabetes mellitus (DM). ING has been linked to heavy tobacco smoking, chronic hypertension, obesity and insulin resistance. Its association with marijuana use is unknown. Case Presentation: We report a case of biopsy-proved ING in the absence of pre-existing history of DM and heavy smoking. This report addresses the possible accentuation ...


Predicting Adverse Outcomes In Chronic Kidney Disease Using Machine Learning Methods: Data From The Modification Of Diet In Renal Disease, Zeid Khitan, Anna P. Shapiro, Preeya T. Shah, Juan R. Sanabria, Prasanna Santhanam, Komal Sodhi, Nader G. Abraham, Joseph I. Shapiro 2017 Marshall University

Predicting Adverse Outcomes In Chronic Kidney Disease Using Machine Learning Methods: Data From The Modification Of Diet In Renal Disease, Zeid Khitan, Anna P. Shapiro, Preeya T. Shah, Juan R. Sanabria, Prasanna Santhanam, Komal Sodhi, Nader G. Abraham, Joseph I. Shapiro

Prasanna Santhanam

Background: Understanding factors which predict progression of renal failure is of great interest to clinicians. Objectives: We examined machine learning methods to predict the composite outcome of death, dialysis or doubling of serum creatinine using the modification of diet in renal disease (MDRD) data set. Methods: We specifically evaluated a generalized linear model, a support vector machine, a decision tree, a feed-forward neural network and a random forest evaluated within the context of 10 fold validation using the CARET package available within the open source architecture R program. Results: We found that using clinical parameters available at entry into the ...


Predicting Adverse Outcomes In Chronic Kidney Disease Using Machine Learning Methods: Data From The Modification Of Diet In Renal Disease, Zeid Khitan, Anna P. Shapiro, Preeya T. Shah, Juan R. Sanabria, Prasanna Santhanam, Komal Sodhi, Nader G. Abraham, Joseph I. Shapiro 2017 Marshall University

Predicting Adverse Outcomes In Chronic Kidney Disease Using Machine Learning Methods: Data From The Modification Of Diet In Renal Disease, Zeid Khitan, Anna P. Shapiro, Preeya T. Shah, Juan R. Sanabria, Prasanna Santhanam, Komal Sodhi, Nader G. Abraham, Joseph I. Shapiro

Juan R. Sanabria

Background: Understanding factors which predict progression of renal failure is of great interest to clinicians.

Objectives: We examined machine learning methods to predict the composite outcome of death, dialysis or doubling of serum creatinine using the modification of diet in renal disease (MDRD) data set.

Methods: We specifically evaluated a generalized linear model, a support vector machine, a decision tree, a feed-forward neural network and a random forest evaluated within the context of 10 fold validation using the CARET package available within the open source architecture R program.

Results: We found that using clinical parameters available at entry into the ...


Predicting Adverse Outcomes In Chronic Kidney Disease Using Machine Learning Methods: Data From The Modification Of Diet In Renal Disease, Zeid Khitan, Anna P. Shapiro, Preeya T. Shah, Juan R. Sanabria, Prasanna Santhanam, Komal Sodhi, Nader G. Abraham, Joseph I. Shapiro 2017 Marshall University

Predicting Adverse Outcomes In Chronic Kidney Disease Using Machine Learning Methods: Data From The Modification Of Diet In Renal Disease, Zeid Khitan, Anna P. Shapiro, Preeya T. Shah, Juan R. Sanabria, Prasanna Santhanam, Komal Sodhi, Nader G. Abraham, Joseph I. Shapiro

Joseph I Shapiro MD

Background: Understanding factors which predict progression of renal failure is of great interest to clinicians. Objectives: We examined machine learning methods to predict the composite outcome of death, dialysis or doubling of serum creatinine using the modification of diet in renal disease (MDRD) data set. Methods: We specifically evaluated a generalized linear model, a support vector machine, a decision tree, a feed-forward neural network and a random forest evaluated within the context of 10 fold validation using the CARET package available within the open source architecture R program. Results: We found that using clinical parameters available at entry into the ...


Predicting Adverse Outcomes In Chronic Kidney Disease Using Machine Learning Methods: Data From The Modification Of Diet In Renal Disease, Zeid Khitan, Anna P. Shapiro, Preeya T. Shah, Juan R. Sanabria, Prasanna Santhanam, Komal Sodhi, Nader G. Abraham, Joseph I. Shapiro 2017 Marshall University

Predicting Adverse Outcomes In Chronic Kidney Disease Using Machine Learning Methods: Data From The Modification Of Diet In Renal Disease, Zeid Khitan, Anna P. Shapiro, Preeya T. Shah, Juan R. Sanabria, Prasanna Santhanam, Komal Sodhi, Nader G. Abraham, Joseph I. Shapiro

Nader G. Abraham

Background: Understanding factors which predict progression of renal failure is of great interest to clinicians.

Objectives: We examined machine learning methods to predict the composite outcome of death, dialysis or doubling of serum creatinine using the modification of diet in renal disease (MDRD) data set.

Methods: We specifically evaluated a generalized linear model, a support vector machine, a decision tree, a feed-forward neural network and a random forest evaluated within the context of 10 fold validation using the CARET package available within the open source architecture R program.

Results: We found that using clinical parameters available at entry into the ...


Predicting Adverse Outcomes In Chronic Kidney Disease Using Machine Learning Methods: Data From The Modification Of Diet In Renal Disease, Zeid Khitan, Anna P. Shapiro, Preeya T. Shah, Juan R. Sanabria, Prasanna Santhanam, Komal Sodhi, Nader G. Abraham, Joseph I. Shapiro 2017 Marshall University

Predicting Adverse Outcomes In Chronic Kidney Disease Using Machine Learning Methods: Data From The Modification Of Diet In Renal Disease, Zeid Khitan, Anna P. Shapiro, Preeya T. Shah, Juan R. Sanabria, Prasanna Santhanam, Komal Sodhi, Nader G. Abraham, Joseph I. Shapiro

Komal Sodhi

Background: Understanding factors which predict progression of renal failure is of great interest to clinicians.

Objectives: We examined machine learning methods to predict the composite outcome of death, dialysis or doubling of serum creatinine using the modification of diet in renal disease (MDRD) data set.

Methods: We specifically evaluated a generalized linear model, a support vector machine, a decision tree, a feed-forward neural network and a random forest evaluated within the context of 10 fold validation using the CARET package available within the open source architecture R program.

Results: We found that using clinical parameters available at entry into the ...


Predicting Adverse Outcomes In Chronic Kidney Disease Using Machine Learning Methods: Data From The Modification Of Diet In Renal Disease, Zeid Khitan, Anna P. Shapiro, Preeya T. Shah, Juan R. Sanabria, Prasanna Santhanam, Komal Sodhi, Nader G. Abraham, Joseph I. Shapiro 2017 Marshall University

Predicting Adverse Outcomes In Chronic Kidney Disease Using Machine Learning Methods: Data From The Modification Of Diet In Renal Disease, Zeid Khitan, Anna P. Shapiro, Preeya T. Shah, Juan R. Sanabria, Prasanna Santhanam, Komal Sodhi, Nader G. Abraham, Joseph I. Shapiro

Zeid J. Khitan

Background: Understanding factors which predict progression of renal failure is of great interest to clinicians. Objectives: We examined machine learning methods to predict the composite outcome of death, dialysis or doubling of serum creatinine using the modification of diet in renal disease (MDRD) data set. Methods: We specifically evaluated a generalized linear model, a support vector machine, a decision tree, a feed-forward neural network and a random forest evaluated within the context of 10 fold validation using the CARET package available within the open source architecture R program. Results: We found that using clinical parameters available at entry into the ...


Six Month Av Fistulae Outcomes Following Local Perianastomotic Delivery Of Sirolimuspreliminary Report From A Us Phase 3 Clinical Trial (Access Trial), Sriram Iyer, Nelson Kopyt DO, FASN, FACP, Joseph J. Lee, Osman Khawar, Thomas Wooldridge, Nirav Gandhi, Robert I. Lynn, William Paulson, Maria DeVita 2017 Lehigh Valley Health Network

Six Month Av Fistulae Outcomes Following Local Perianastomotic Delivery Of Sirolimuspreliminary Report From A Us Phase 3 Clinical Trial (Access Trial), Sriram Iyer, Nelson Kopyt Do, Fasn, Facp, Joseph J. Lee, Osman Khawar, Thomas Wooldridge, Nirav Gandhi, Robert I. Lynn, William Paulson, Maria Devita

Department of Medicine

No abstract provided.


Effect Of Baseline Serum Calcium On Responses To Extended-Release Calcifediol (Erc) In Stage 3 - 4 Ckd, Nelson Kopyt DO, FASN, FACP, Stephen A. Strugnell, Akhtar Ashfaq, Martin Petkovich, Charles W. Bishop 2017 Lehigh Valley Health Network

Effect Of Baseline Serum Calcium On Responses To Extended-Release Calcifediol (Erc) In Stage 3 - 4 Ckd, Nelson Kopyt Do, Fasn, Facp, Stephen A. Strugnell, Akhtar Ashfaq, Martin Petkovich, Charles W. Bishop

Department of Medicine

No abstract provided.


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