Relevant bibliographies by topics / Kidney Recognition

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Kidney Recognition'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Kidney Recognition"

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Cohen, Lawrence. "The Other Kidney: Biopolitics Beyond Recognition." Body & Society 7, no. 2-3 (2001): 9–29. http://dx.doi.org/10.1177/1357034x0100700202.

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Greene, Joshua D. "From fear recognition to kidney donation." Proceedings of the National Academy of Sciences 111, no. 42 (2014): 14966–67. http://dx.doi.org/10.1073/pnas.1416960111.

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Kline, Jason A., and Lawrence S. Weisberg. "Forced recognition of acute kidney injury." Critical Care Medicine 40, no. 4 (2012): 1355–56. http://dx.doi.org/10.1097/ccm.0b013e31823d7898.

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Darmon, Michaël, Anne-Sophie Truche, Moustapha Abdel-Nabey, David Schnell, and Bertrand Souweine. "Early Recognition of Persistent Acute Kidney Injury." Seminars in Nephrology 39, no. 5 (2019): 431–41. http://dx.doi.org/10.1016/j.semnephrol.2019.06.003.

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Oates, Thomas, and Shabbir Moochhala. "Recognition and management of acute kidney injury." Prescriber 28, no. 4 (2017): 17–21. http://dx.doi.org/10.1002/psb.1556.

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Kurella Tamura, Manjula. "Recognition for Conservative Care in Kidney Failure." American Journal of Kidney Diseases 68, no. 5 (2016): 671–73. http://dx.doi.org/10.1053/j.ajkd.2016.08.009.

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Ahmed, Sheikh Salahuddin, Md Abu Saleh Mohammad Rizwan, Md Abdul Mahid Khan, Tarafdar Runa Laila, and Md Abdul Hafez. "Early Recognition and Treatment of Diabetic Kidney Disease." Medicine Today 26, no. 1 (2014): 56–62. http://dx.doi.org/10.3329/medtoday.v26i1.21317.

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Diabetic kidney disease (DKD) is a progressive condition and is an important cause of end stage renal disease (ESRD) as well as a risk factor for cardiovascular morbidity and mortality. This paper reviews various evidence based clinical guidelines, scientific papers and research studies on early detection and treatment of DKD. Microalbuminuria describes the urinary excretion of small amounts of albumin which identifies the early stage of DKD. In addition to an earliest marker of kidney damage, microalbuminuria is an established high risk factor for cardiovascular morbidity and mortality. Patie
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Bleyer, Anthony J. "Improving the Recognition of Hereditary Interstitial Kidney Disease." Journal of the American Society of Nephrology 20, no. 1 (2008): 11–13. http://dx.doi.org/10.1681/asn.2007121330.

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James, Matthew T., Brenda R. Hemmelgarn, and Marcello Tonelli. "Early recognition and prevention of chronic kidney disease." Lancet 375, no. 9722 (2010): 1296–309. http://dx.doi.org/10.1016/s0140-6736(09)62004-3.

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Bagga, Arvind, and Aditi Sinha. "Acute Kidney Injury: Increasing Recognition Merits More Action." Indian Journal of Pediatrics 80, no. 3 (2013): 247–48. http://dx.doi.org/10.1007/s12098-013-0989-8.

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Dissertations / Theses on the topic "Kidney Recognition"

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Abou, Samra Elias. "Elucidation of the Role of NKR‐P1: CLR Recognition Systems in Intestinal & Renal Epithelial Cell Homeostasis and Immunity." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/35747.

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Natural killer (NK) cells represent a crucial component of the innate immune system and are primarily regulated by the interactions of their activation and inhibitory receptors with ligands available on target cells. The genetically linked Ly49 and NKR-P1 family of receptors constitute two of the major regulatory receptor systems used by NK cells and have been shown to bind different ligands. Whereas the Ly49 receptors survey MHC-I ligands on target cells, the NKR-Pl receptor family members bind to various members of the C-type lectin-related (Clr) family. Interestingly, NKR-P1 and Clr haploty
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Prevost, Raphaël. "Méthodes variationnelles pour la segmentation d'images à partir de modèles : applications en imagerie médicale." Phd thesis, Université Paris Dauphine - Paris IX, 2013. http://tel.archives-ouvertes.fr/tel-00932995.

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La segmentation d'images médicales est depuis longtemps un sujet de recherche actif. Cette thèse traite des méthodes de segmentation basées modèles, qui sont un bon compromis entre généricité et capacité d'utilisation d'informations a priori sur l'organe cible. Notre but est de construire un algorithme de segmentation pouvant tirer profit d'une grande variété d'informations extérieures telles que des bases de données annotées (via l'apprentissage statistique), d'autres images du même patient (via la co-segmentation) et des interactions de l'utilisateur. Ce travail est basé sur la déformation d
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Mohammadianrasanani, Seyedmehrdad. "The use of a body-wide automatic anatomy recognition system in image analysis of kidneys." Thesis, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-133305.

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Books on the topic "Kidney Recognition"

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Prout, Jeremy, Tanya Jones, and Daniel Martin. Kidney and body fluids. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199609956.003.0003.

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The physiology of body fluid compartments is revised in association with clinical assessment of fluid balance and the management of fluid-related abnormalities. Electrolyte and acid-base disorders; causes, consequences and management are summarized. Acute kidney injury in the context of perioperative medicine is discussed; including definitions, risks, causes, recognition, prevention and preventative measures. Renal replacement therapy strategies are explained.
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Sharples, Edward. Acute kidney injury. Edited by Rutger Ploeg. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199659579.003.0127.

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Acute kidney injury (AKI) is a common, major cause of morbidity and mortality in hospitalized patients, and contributes significantly to length of stay and hence costs. Large epidemiological studies consistently demonstrate an incidence of AKI of 5–18% depending on the definition of AKI utilized. Even relatively small changes in renal function are associated with increased mortality, and this has led to strict definition and staging of AKI. Early recognition with good clinical assessment, diagnosis, and management are critical to prevent progression of AKI and reduce the potential complication
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Upadhyay, Ashish, Lesley A. Inker, and Andrew S. Levey. Chronic kidney disease. Edited by David J. Goldsmith. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0094.

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The conceptual model, definition, and classification of chronic kidney disease (CKD) were first described in the National Kidney Foundation’s Kidney Disease Outcomes Quality Initiative (KDOQI) guidelines in 2002 and have had a major impact on patient care and research. Since this publication there has been an increased recognition that the cause of CKD influences progression and complications. In addition, epidemiologic reports from diverse populations have consistently shown graded relations between higher albuminuria and adverse kidney outcomes and complications, in addition to, and independ
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Lameire, Norbert. Prevention of acute kidney injury. Edited by Norbert Lameire. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0224_update_001.

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The prevention of acute kidney injury (AKI) should start with an assessment of the risk to develop AKI, by identification of co-morbidities, use of potentially nephrotoxic medications, and early recognition of acute reversible risk factors associated with AKI. This chapter discusses first the most relevant general risk factors for AKI and describes the recent introduction of several surveillance systems. In addition, some specific risk factors play a role in the pathogenesis of post-cardiac surgery AKI. Finally risks associated with commonly used drugs such as non-steroidal anti-inflammatory d
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Yoon, Soo Young, and Ravindra L. Mehta. Acute kidney injury in pulmonary diseases. Edited by Norbert Lameire. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0249.

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Acute kidney injury (AKI) and acute lung injury often complicate the course of hospitalized patients particularly in the ICU setting. When this association is present it is associated with high mortality. While one disorder may precede the other, they are particularly problematic when they coexist. Patients with AKI are more likely to be ventilated than patients without AKI and they have impaired ability to wean from the ventilator. This chapter describes the alterations in renal function in lung diseases, the alterations in lung function in patients with kidney disease, the pathophysiology of
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Golper, Thomas A., Andrew A. Udy, and Jeffrey Lipman. Drug dosing in acute kidney injury. Edited by William G. Bennett. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0364.

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Drug dosing in acute kidney injury (AKI) is one of the broadest topics in human medicine. It requires an understanding of markedly altered and constantly changing physiology under many disease situations, the use of the drugs to treat those variety of diseases, and the concept of drug removal during blood cleansing therapies. Early in AKI kidney function may be supraphysiologic, while later in the course there may be no kidney function. As function deteriorates other metabolic pathways are altered in unpredictable ways. Furthermore, the underlying disorders that lead to AKI alter metabolic pat
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Hwang, Young-Hwan, and York Pei. Autosomal dominant polycystic kidney disease management. Edited by Neil Turner. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0309_update_001.

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Management of patients with autosomal dominant polycystic kidney disease (ADPKD) currently comprises non-specific measures including promotion of healthy lifestyle, optimization of blood pressure control, and modification of cardiovascular risk factors. A high water intake of 3–4 L per day in patients with glomerular filtration rate greater than 30 mL/min/1.73 m2 may decrease the risk of kidney stones, but its potential benefit in reducing renal cyst growth is presently unproven. Maintenance of a target blood pressure of 130/80 mmHg is recommended by expert clinical guidelines though this is u
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Jafri, Mariam, and Eamonn R. Maher. Genetics and molecular biology of renal cancer. Edited by James W. F. Catto. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199659579.003.0084.

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Renal cell carcinoma (RCC) is the exemplar of how the understanding of the molecular pathogenesis of rare inherited disorders can inform an understanding of the key pathways involved in the pathogenesis of sporadic cancer. In this chapter we describe the clinical and pathological features of the inherited kidney cancer syndromes: von Hippel Lindau disease (VHL); Birt-Hogg-Dube syndrome; hereditary leiomyomatosis and renal cancer syndrome; succinate dehydrogenase disorders; hereditary papillary renal cancer; and translocation-associated kidney cancer. Though individually rare, recognition of in
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Krueger, Darcy A., and Jamie Capal. Familial CNS Tumor Syndromes. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199937837.003.0136.

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Tuberous sclerosis complex is an autosomal dominant multi-system disease that involves the skin, brain, heart, lungs, and kidneys and is associated with seizures including infantile spasms, intellectual disability, autism and pulmonary and heart disease. Skin lesions can be particularly disfiguring and infantile spasms can be associated with marked cognitive decline. The outlook for patients has improved markedly with the recognition that TSC is caused by upregulation of the mammalian target of rapamycin (mTOR) enzyme, which connects energy needs and supply with cellular and neuronal growth. m
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Adam, Sheila, Sue Osborne, and John Welch. The critical care continuum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199696260.003.0001.

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This chapter provides an overview of the development and expansion of critical care, to include early intervention and enhancement of recovery. This is based on the patient’s acuity and need for intervention rather than their location. It includes early recognition of, and response to, acute deterioration in patients in order to prevent irreversible organ damage or death. The use of tools such as the National Early Warning Score (NEWS) to identify these patients is described. The chapter covers the critical care outreach and medical emergency team concepts, as well as surviving sepsis and avoi
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Book chapters on the topic "Kidney Recognition"

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Reinaldo, Francisco, Carlos Fernandes, Md Anishur Rahman, Andreia Malucelli, and Rui Camacho. "Assessing the Eligibility of Kidney Transplant Donors." In Machine Learning and Data Mining in Pattern Recognition. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03070-3_60.

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Harbord, Nikolas B., and Muhammad S. Akhter. "Poisonings and Intoxications." In Kidney Protection, edited by Vijay Lapsia, Bernard G. Jaar, and A. Ahsan Ejaz. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780190611620.003.0027.

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Nephrologists are involved in the treatment of poisoning, as extracorporeal removal may be essential in some intoxications. After addressing the epidemiology and management considerations regarding extracorporeal therapy, the chapter outlines the clinical presentation and management of common poisonings such as toxic alcohols (methanol and ethylene glycol), salicylates, toluene, and lithium are outlined. Specific treatment within the purview of the nephrologist includes recognition and treatment of acid-base derangements, enhanced elimination, and diffusive and convective clearance. Evidence-based recommendations for the role of dialysis in these poisonings is provided. Finally, the clinical presentation and unique renal pathophysiologic effects of toluene and Cleistanthus collinus poisoning are reviewed.
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Knicely, Daphne, Michael J. Choi, and Sumeska Thavarajah. "Acute Kidney Injury from Therapeutic Agents." In Kidney Protection, edited by Vijay Lapsia, Bernard G. Jaar, and A. Ahsan Ejaz. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780190611620.003.0022.

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Many agents, which are crucial for diagnostic and therapeutic purposes, are associated with nephrotoxicity and acute kidney injury. The nephrotoxicity often becomes the limiting factor for use of these agents, and, in some cases, there are no alternative agents. This chapter reviews the common classes of agents that are associated with nephrotoxicity (contrast, intravenous immunoglobulin, aminoglycosides, vancomycin, amphotericin, and nonsteroidal anti-inflammatory drugs). The mechanisms of nephrotoxicity from these agents as well various patient risk factors associated with nephrotoxicity are examined, and potential strategies to try to prevent acute kidney injury are reviewed. There are many therapeutic agents that cause renal toxicity that often become the limiting factor in the agent’s use. Often, there are no alternative agents available, so recognition of the risk factors for nephrotoxicity and incorporation of preventative measures are critical.
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Bholah, Reshma, and Timothy E. Bunchman. "Acute kidney injury." In Challenging Concepts in Paediatric Critical Care. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198794592.003.0009.

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Acute kidney injury (AKI) affects roughly one-quarter of children in the Intensive Care Unit and is associated with increased morbidity and mortality. Progress made in classifying paediatric AKI has allowed for better recognition of this entity. Consideration of degree of fluid overload and other risk factors for mortality should influence the choice to initiate renal replacement therapy. And while not all patients with AKI will require renal replacement therapy, the modality needs to be chosen carefully. This book chapter aims to describe AKI, provide a brief overview of the aetiology and diagnosis of this process, describe biomarkers under study for diagnosing AKI, compare the modalities of renal replacement therapy, and touch upon prognostic factors and recent advances in the field.
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Firth, John D. "Acute kidney injury." In Oxford Textbook of Medicine, edited by John D. Firth. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198746690.003.0477.

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Definition—for practical clinical purposes, acute kidney injury (AKI) is defined as a significant decline in renal excretory function occurring over hours or days, detected by either a fall in urinary output or a rise in the serum concentration of creatinine. Oliguria—defined (arbitrarily) as a urinary volume of less than 400 ml/day—is usually present, but not always. Clinical approach: diagnosis—all patients admitted to hospital with acute illness, but particularly older people and those with pre-existing chronic kidney disease, should be considered at risk of developing AKI. The most common precipitant is volume depletion. Serum creatinine and electrolytes should be measured on admission in all acutely ill patients, and repeated daily or on alternate days in those who remain so. Assessment—after treatment of life-threatening complications, the initial assessment of a patient who appears to have AKI must answer three questions: (1) is the kidney injury really acute? (2) Is urinary obstruction a possibility? And (3) is there a renal inflammatory cause? General aspects of management—the immediate management of a patient with renal impairment is directed towards three goals: (1) recognition and treatment of any life-threatening complications of AKI, (2) prompt diagnosis and treatment of hypovolaemia, and (3) specific treatment of the underlying condition—if this persists untreated then renal function will not improve. Specific causes of acute kidney injury—there are many possible causes of AKI, but in any given clinical context few of these are likely to require consideration. By far the most frequent are prerenal failure and acute tubular necrosis, which together account for 80 to 90% of cases of AKI seen by physicians.
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B. V., Ravindra, Sriraam N., and Geetha M. "A Decision Tree on Data Mining Framework for Recognition of Chronic Kidney Disease." In Biomedical and Clinical Engineering for Healthcare Advancement. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0326-3.ch005.

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The term chronic kidney disease (CKD) refers to the malfunction of the kidney and its failure to remove toxins and other waste products from blood. Typical symptoms of CKD include color change in urine, swelling due to fluids staying in tissue, itching, flank pain, and fatigue. Timely intervention is essential for early recognition of CKD as it affects more than 10 million people in India. This chapter suggests a decision tree-based data mining framework to recognize CKD from Non chronic kidney disease (NCKD). Data sets derived from open source UCI repository was considered. Unlike earlier reported work, this chapter applies the decision rules based on the clustered data through k-means clustering process. Four cluster groups were identified and j48 pruned decision tree-based automated rules were formatted. The performance of the proposed framework was evaluated in terms of sensitivity, specificity, precision, and recall. A new quantitative measure, relative performance, and MCC were introduced which confirms the suitability of the proposed framework for recognition of CKD from NCKD.
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Hundert, Joshua S., and J. Kevin Tucker. "Dialysis and Transplantation." In The Brigham Intensive Review of Internal Medicine. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199358274.003.0060.

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The magnitude of the public health problem due to chronic kidney disease (CKD) in the United States is gaining recognition. More than 19 million adult Americans, or 11%, have CKD, the majority with stage 1–3 disease. Many of the complicating features traditionally described in the end-stage kidney patient (ESRD) population are increasingly being noted in chronic kidney disease patients. It is now understood that complications of CKD develop earlier in the course and lead to adverse outcomes in their own right. CKD thus becomes a systemic disorder as it progresses. The major complications of CKD to be discussed—hypertension, cardiovascular disease, anemia, and bone-mineral disorders—are consistently found and are to a degree independent of the primary cause of the kidney disease.
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Clarenne, Justine, Sonia Priou, Aymeric Alixe, Olivier Martin, Céline Mongaret, and Pierrick Bedouch. "Clinical Relevance of Pharmacist Intervention: Development of a Named Entity Recognition Model on Unstructured Comments." In Studies in Health Technology and Informatics. IOS Press, 2021. http://dx.doi.org/10.3233/shti210210.

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We developed a clinical named entity recognition model to predict clinical relevance of pharmacist interventions (PIs) by identifying and labelling expressions from unstructured comments of PIs. Three labels, drug, kidney and dosage, had a great inter-annotator agreement (>60%) and could be used as reference labelization. These labels also showed a high precision (>70%) and a variable recall (50–90 %).
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Gill, Arshpal, Ra’ed Nassar, Ruby Sangha, et al. "Hepatorenal Syndrome." In Advances in Hepatology. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97698.

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Hepatorenal Syndrome (HRS) is an important condition for clinicians to be aware of in the presence of cirrhosis. In simple terms, HRS is defined as a relative rise in creatinine and relative drop in serum glomerular filtration rate (GFR) alongside renal plasma flow (RPF) in the absence of other competing etiologies of acute kidney injury (AKI) in patients with hepatic cirrhosis. It represents the end stage complication of decompensated cirrhosis in the presence of severe portal hypertension, in the absence of prerenal azotemia, acute tubular necrosis or others. It is a diagnosis of exclusion. The recognition of HRS is of paramount importance for clinicians as it carries a high mortality rate and is an indication for transplantation. Recent advances in understanding the pathophysiology of the disease improved treatment approaches, but the overall prognosis remains poor, with Type I HRS having an average survival under 2 weeks. Generally speaking, AKI and renal failure in cirrhotic patients carry a very high mortality rate, with up to 60% mortality rate for patients with renal failure and cirrhosis and 86.6% of overall mortality rates of patients admitted to the intensive care unit. Of the various etiologies of renal failure in cirrhosis, HRS carries a poor prognosis among cirrhotic patients with acute kidney injury. HRS continues to pose a diagnostic challenge. AKI can be either pre-renal, intrarenal or postrenal. Prerenal causes include hypovolemia, infection, use of vasodilators and functional due to decreased blood flow to the kidney, intra-renal such as glomerulopathy, acute tubular necrosis and post-renal such as obstruction. Patients with cirrhosis are susceptible to developing renal impairment. HRS may be classified as Type 1 or rapidly progressive disease, and Type 2 or slowly progressive disease. There are other types of HRS, but this chapter will focus on Type 1 HRS and Type 2 HRS. HRS is considered a functional etiology of acute kidney injury as there is an apparent lack of nephrological parenchymal damage. It is one several possibilities for acute kidney injury in patients with both acute and chronic liver disease. Acute kidney injury (AKI) is one of the most severe complications that could occur with cirrhosis. Up to 50% of hospitalized patients with cirrhosis can suffer from acute kidney injury, and as mentioned earlier an AKI in the presence of cirrhosis in a hospitalized patient has been associated with nearly a 3.5-fold increase in mortality. The definition of HRS will be discussed in this chapter, but it is characterized specifically as a form of acute kidney injury that occurs in patients with advanced liver cirrhosis which results in a reduction in renal blood flow, unresponsive to fluids this occurs in the setting of portal hypertension and splanchnic vasodilation. This chapter will discuss the incidence of HRS, recognizing HRS, focusing mainly on HRS Type I and Type II, recognizing competing etiologies of renal impairment in cirrhotic patients, and the management HRS.
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"Fluid and electrolyte disorders." In Oxford Desk Reference Nephrology, edited by Jonathan Barratt, Peter Topham, Sue Carr, Mustafa Arici, and Adrian Liew. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780198777182.003.0003.

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Fluid and electrolyte disorders are very common in nephrology practice. They may develop due to several disorders related directly with kidney disease, or with other conditions or drugs, etc., altering fluid and electrolyte physiology. Fluid and electrolyte disorders may usually present as an incidental finding in a blood test with mild or no symptoms, but may also present as a severe, life-threatening entity. Fluid and electrolyte disorders may present as single, isolated derangement of one electrolyte or as mixed problems. The prevention or prompt recognition and appropriate management of fluid and electrolyte disorders protect redundant morbidities and mortalities in many patients. This chapter covers disorders of sodium, potassium, calcium, phosphate and magnesium, and acid-base. It also discusses the clinical use of diuretics, which have dual effect on fluid-electrolyte disorders as aetiologic or therapeutic agents.
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Conference papers on the topic "Kidney Recognition"

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Shahzad, Khurram, Faisal Azam, Saad Rehman, Ayman Alfalou, Saddaf Rubab, and Junaid Ali Khan. "Expelled kidney stones classification using feature fusion." In Pattern Recognition and Tracking XXXII, edited by Mohammad S. Alam. SPIE, 2021. http://dx.doi.org/10.1117/12.2586815.

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Les, Tomasz, Tomasz Markiewicz, Miroslaw Dziekiewicz, and Malgorzata Lorent. "Automatic recognition of the kidney in CT images." In 2018 19th International Conference "Computational Problems of Electrical Engineering" (CPEE). IEEE, 2018. http://dx.doi.org/10.1109/cpee.2018.8506777.

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Chi, Yanling, Yuyu Xu, Gang Feng, et al. "Segmenting Kidney on Multiple Phase CT Images using ULBNet." In 2020 25th International Conference on Pattern Recognition (ICPR). IEEE, 2021. http://dx.doi.org/10.1109/icpr48806.2021.9412746.

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Lu, Jinghua, Jie Chen, Juan Zhang, and Wenjia Yang. "Segmentation of kidney using C-V model and anatomy priors." In International Symposium on Multispectral Image Processing and Pattern Recognition, edited by Jianguo Liu, Kunio Doi, Patrick S. P. Wang, and Qiang Li. SPIE, 2007. http://dx.doi.org/10.1117/12.750016.

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Luo, Haibiao, Robin O. Cleveland, and James C. Williams. "Shock Wave Lithotripters With Broad Focus Result in Greater Stress in Human Kidney Stones: Numerical Simulation." In ASME 2008 3rd Frontiers in Biomedical Devices Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/biomed2008-38093.

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Shock wave lithotripsy (SWL) has been used to treat kidney stones for decades. However, there is growing recognition that shock waves induces trauma to kidney tissue [1, 2]. The poor understanding of stone comminution mechanisms means that the design of new lithotripters is principally a practice of empiricism [3]. A mechanistic understanding of stone comminution would provide a criterion to develop new lithotripsy systems. In this work, a three-dimensional finite-difference time-domain (FDTD) solution to the linear elastic equations was employed [4] to investigate the stress and displacement
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Au-Yeung, Lee, Xianghua Xie, James Chess, and Timothy Scale. "Using Machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care." In 2020 25th International Conference on Pattern Recognition (ICPR). IEEE, 2021. http://dx.doi.org/10.1109/icpr48806.2021.9413108.

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Abdelmunim, H., Aly A. Farag, W. Miller, and Mohamed AboelGhar. "A kidney segmentation approach from DCE-MRI using level sets." In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops). IEEE, 2008. http://dx.doi.org/10.1109/cvprw.2008.4563025.

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Soni, Akanksha, and Avinash Rai. "Kidney Stone Recognition and Extraction using Directional Emboss & SVM from Computed Tomography Images." In 2020 Third International Conference on Multimedia Processing, Communication & Information Technology (MPCIT). IEEE, 2020. http://dx.doi.org/10.1109/mpcit51588.2020.9350388.

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Luo, Yue-Ming, Heng Weng, Lei Zhang, Juan Wu, Xu-Sheng Liu, and Xin-Yi Huang. "Salt restriction: Recognition and treatment of chronic kidney disease related edema in ancient literature mining." In 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2017. http://dx.doi.org/10.1109/bibm.2017.8217862.

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Yang, Guanyu, Guoqing Li, Tan Pan, et al. "Automatic Segmentation of Kidney and Renal Tumor in CT Images Based on 3D Fully Convolutional Neural Network with Pyramid Pooling Module." In 2018 24th International Conference on Pattern Recognition (ICPR). IEEE, 2018. http://dx.doi.org/10.1109/icpr.2018.8545143.

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