Academic literature on the topic 'Autonomic neuropathy'

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Journal articles on the topic "Autonomic neuropathy"

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Wall, BJ. "Autonomic neuropathy." Journal of the American Podiatric Medical Association 77, no. 2 (February 1, 1987): 103–4. http://dx.doi.org/10.7547/87507315-77-2-103.

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Low, Phillip. "Autonomic Neuropathy." Seminars in Neurology 7, no. 01 (March 1987): 49–57. http://dx.doi.org/10.1055/s-2008-1041405.

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Dineen, Jennifer, and Roy Freeman. "Autonomic Neuropathy." Seminars in Neurology 35, no. 04 (October 6, 2015): 458–68. http://dx.doi.org/10.1055/s-0035-1558983.

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Pfeifer, M. A., S. Jung, G. Crain, and M. Schumer. "Autonomic Neuropathy." Diabetic Medicine 10, S2 (June 1993): 70S—73S. http://dx.doi.org/10.1111/j.1464-5491.1993.tb00204.x.

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Ryder, R. E. J., J. A. Atiea, J. P. Vora, and D. R. Owens. "Autonomic neuropathy." Practical Diabetes International 2, no. 4 (July 1985): 46. http://dx.doi.org/10.1002/pdi.1960020418.

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Koike, Haruki, and Gen Sobue. "Autoimmune autonomic ganglionopathy and acute autonomic and sensory neuropathy." Rinsho Shinkeigaku 53, no. 11 (2013): 1326–29. http://dx.doi.org/10.5692/clinicalneurol.53.1326.

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Ay, Seyid Ahmet, Fatih Bulucu, Murat Karaman, Kamil Başköy, Mustafa Çakar, Turgay Çelik, Şevket Balta, et al. "vCardiac Autonomic Neuropathy and Complications of Primary Hypertension: Is Autonomic Neuropathy a Cause or a Result?" Turkish Nephrology Dialysis Transplantation 25, no. 1 (January 22, 2016): 65–72. http://dx.doi.org/10.5262/tndt.2016.1001.07.

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Abdul- Aa'ama, Thaier Kareem, Saba Fathi Abd Al- Razaq, and Sarah Ali Al Kindy. "ASSESSMENT OF DIASTOLIC FUNCTION IN PATIENTS WITH DIABETIC NEUROPATHY." International Journal of Medical Sciences (IJMS) 2, no. 2 (June 15, 2022): 18–26. http://dx.doi.org/10.56981/m0000223.

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"Diastolic dysfunction" is thought to be an indication of "diabetic cardiomyopathy" ", and "diabetic cardiovascular autonomic neuropathy" is linked to increased mortality risk. The goal of this study was to see how "diastolic dysfunction" and "cardiovascular autonomic neuropathy" are linked both of which were diagnosed in accordance with the guidelines. Methods: We assessed at seventy three participants Whose elective coronary angiography was referred, Diabetes mellitus was present in twenty-six of them, and twenty four of whom had impaired glucose tolerance, the other twenty-three people had normal "glucose tolerance". To identify "cardiovascular autonomic neuropathy", "autonomic function" tests were done, and "tissue Doppler imaging echocardiography" was employed to confirm "diastolic dysfunction". Results Autonomical cardiovascular neuropathy has been detected with diabetes type 2 diabetes in (28.8%) and with glucose-impaired tolerance in 6 (12.5%) patients. "Diastolic dysfunction" was found in 81 and 33 percent of patients with and without "cardiovascular autonomic neuropathy", respectively (P <0.001). "Early diastolic relaxation velocity" (Em) was considerably less in comparison to the group without cardiovascular autonomic neuropathy. ("5.4 0.9 vs. 7.3 2.1 cm⁄ s;P; P 0.001"), Moreover, the E⁄Em ratio was much higher. ("13.6 4.6 vs. 10.3 3.4 cm⁄ s;P, 0.001"). The significance of these data remained after controlling for "age, gender, coronary artery disease, hypertension, and HbA1c". In individuals with and without "cardiovascular autonomic neuropathy", significant "diastolic dysfunction" was found in 33 and 15% of patients, accordingly (P = 0.001).
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Comlan Jules, Gninkoun, Fanou Joseph Soglo, Alassani Adebayo Sabi Cossi, and Djrolo François. "Cardiovascular Autonomic Neuropathy in Patients with Diabetes in Cotonou, Benin: A Cross-Sectional Study." Endocrinology and Disorders 5, no. 5 (September 16, 2021): 01–05. http://dx.doi.org/10.31579/2640-1045/083.

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Background Diabetes mellitus is well known as a major risk factor for cardiovascular diseases. Cardiovascular autonomic neuropathy is one of the diabetes complications that has a major impact on cardiovascular morbidity and mortality in patients with diabetes. Aim : To determine the prevalence of cardiovascular autonomic neuropathy in patients with diabetes attending the diabetic center in Cotonou and to identify its risk factors. Materials and Methods : It was a cross-sectional study. Cardiovascular autonomic neuropathy was identified using deep breathing test, standind test and the blood pressure response to standing test (orthostatic hypotension). Chi square test was used for statistical analysis and différence was considered significant when p<0.05. Results : A total of 405 subjects were included in the study. Their mean age was 53.67±11,68 years and the mean diabetes duration was 6.66 years. The prevalence of cardiovascular autonomic neuropathy was 65.9%. Regarding the severity of the complication in neuropathic patients, 51.7% of them had an early neuropathy, 41.2% have presented a moderate neuropathy and 7.1% have presented a severe neuropathy. Factors associated with cardiovascular autonomic neuropathy were age of patients (p = 0.0002), diabetes duration (p = 0.0012), hypertension (p =0.0015), dyslipidemia (p = 0.027) and high pulsed blood pressure (p = 0.032) Conclusion : Cardiovascular autonomic neuropathy is a very frequent complication of diabetes mellitus. Unfortunately this complication of diabetes is not often explored in the patient's follow-up examination. As this complication is recognised to be associated with high cardiovascular morbidity and mortality, systematic screening can be recommanded in patients with long duration of diabetes or presenting an other cardiovascular risk factor.
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Deshpande, Alaka. "Diabetic Autonomic Neuropathy." MGM Journal of Medical Sciences 5, no. 2 (2018): 85–87. http://dx.doi.org/10.5005/jp-journals-10036-1190.

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Dissertations / Theses on the topic "Autonomic neuropathy"

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Ravindranathan, Devi. "Photoplethysmography for the evaluation of diabetic autonomic neuropathy." Thesis, Cardiff University, 2009. http://orca.cf.ac.uk/54981/.

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The aim of this study was to determine if photoplethysmography (PPG) could be used to analyse the foot microvascular changes caused by diabetic autonomic neuropathy. The digital PPG signals were collected from 37 healthy volunteers (Group I), 35 diabetic patients (Group II), and 38 diabetic patients with sensory neuropathy (Group III) and analysed using MAT LAB. Prominent spectral peaks with sidebands were obtained at both the high frequency (HF) and the low frequency (LF) end of the Fourier spectrum of these PPG signals. Previous studies of microcirculation have shown that both are sympathetically and parasympathetically mediated and hence are a good measure of the autonomic activity. In the HF analysis, the heart rate (HR) response from 13 participants in Group III was severely reduced and significantly different from the responses obtained from the other two groups. However the responses from remaining 25 participants had similar characteristics to those of Group II. Hence the HF analyses failed to both statistically and objectively differentiate between the diabetics with and without neuropathy. The spectral density for the frequency bandwidth of 3-20 cpm was significantly reduced in the neuropathic group, compared to the other two groups. A Statistically significant difference was observed in the spectral densities calculated from Group II and III, though no difference could be established between Groups I and III. The LF analysis of this bandwidth differentiated between Groups II and III with a sensitivity of 84% and specificity of 61%. Activities at the LF end of the spectrum mostly represent the sympathetic control as opposed to the HR variability that is mostly a measure of the parasympathetic control. These results suggest that sympathetic dysfunction possibly precedes parasympathetic dysfunction and that PPG can assess the changes in the skin microcirculation due to sympathetic damage with moderate success.
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Wang, Siqi. "NONINVASIVE ASSESSMENT AND MODELING OF DIABETIC CARDIOVASCULAR AUTONOMIC NEUROPATHY." UKnowledge, 2012. http://uknowledge.uky.edu/cbme_etds/5.

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Noninvasive assessment of diabetic cardiovascular autonomic neuropathy (AN): Cardiac and vascular dysfunctions resulting from AN are complications of diabetes, often undiagnosed. Our objectives were to: 1) determine sympathetic and parasympathetic components of compromised blood pressure regulation in patients with polyneuropathy, and 2) rank noninvasive indexes for their sensitivity in diagnosing AN. Continuous 12-lead electrocardiography (ECG), blood pressure (BP), respiration, regional blood flow and bio-impedance were recorded from 12 able-bodied subjects (AB), 7 diabetics without (D0), 7 with possible (D1) and 8 with definite polyneuropathy (D2), during 10 minutes supine control, 30 minutes 70-degree head-up tilt and 5 minutes supine recovery. During the first 3 minutes of tilt, systolic BP decreased in D2 while increased in AB. Parasympathetic control of heart rate, baroreflex sensitivity, and baroreflex effectiveness and sympathetic control of heart rate and vasomotion were reduced in D2, compared with AB. Baroreflex effectiveness index was identified as the most sensitive index to discriminate diabetic AN. Four-dimensional multiscale modeling of ECG indexes of diabetic autonomic neuropathy: QT interval prolongation which predicts long-term mortality in diabetics with AN, is well known. The mechanism of QT interval prolongation is still unknown, but correlation of regional sympathetic denervation of the heart (revealed by cardiac imaging) with QT interval in 12-lead ECG has been proposed. The goal of this study is to 1) reproduce QT interval prolongation seen in diabetics, and 2) develop a computer model to link QT interval prolongation to regional cardiac sympathetic denervation at the cellular level. From the 12-lead ECG acquired in the study above, heart rate-corrected QT interval (QTc) was computed and a reduced ionic whole heart mathematical model was constructed. Twelve-lead ECG was produced as a forward solution from an equivalent cardiac source. Different patterns of regional denervation in cardiac images of diabetic patients guided the simulation of pathological changes. Minimum QTc interval of lateral leads tended to be longer in D2 than in AB. Prolonging action potential duration in the basal septal region in the model produced ECG and QT interval similar to that of D2 subjects, suggesting sympathetic denervation in this region in patients with definite neuropathy.
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Gilmore, James Edward. "Autonomic neuropathy and blood flow abnormalities in the diabetic foot." Thesis, Queen's University Belfast, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335968.

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Clarke, Caroline Frances. "Autonomic neuropathy in children and adolescents with type 1 diabetes mellitus." Thesis, University of Southampton, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359223.

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Gherghel, Doina. "Autonomic dysfunction and systemic oxidative stress associated with glaucomatous optic neuropathy." Thesis, Aston University, 2004. http://publications.aston.ac.uk/14543/.

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There were four principal sections to the work: 1. Investigation of ocular and systemic vascular risk factors in POAG. The principal findings of this work were: a). Glaucoma patients exhibit an anticipatory reaction to the physical stress, similar to subjects at risk for cardiovascular diseases; a blunted BP response and a reduction in ONH blood flow in response to cold provocation was also recorded. b). Silent myocardial ischaemic episodes occurred during peaks in systemic BP and HR. c). Independent of a positive history for cardiovascular diseases, patients suffering from POAG demonstrate a blunt circadian rhythm of the ANS. 2. Assessment of the relationship between vascular and systemic vascular risk factors in GON. The principal findings of this work were: a). POAG patients demonstrate a high sympathetic tonus over a 24-h period. b). POAG patients with lower OBF demonstrate both 24-h systemic BP and HRV abnormalities. c). OBF alterations observed in some glaucoma patients could be either primary or secondary to systemic haemodynamic disturbances and not a consequence of ONH damage. 3. Assessment of the level of systemic anti-oxidant defence in POAG patients. The principal finding of this work was: Patients suffering from POAG demonstrated significantly lower GSH and t-GSH levels than normal controls. 4. Investigation of the effect of treatment with latanoprost 0.005% on visual function and OBF. The findings of this work were: a). Treatment with latanoprost 0.005% resulted in a significant decrease in IOP and increase in OPP. VF damage progression has also been stopped. b). Treatment with latanoprost 0.005% resulted in a significant increase in the OBF parameters measured at the ONH and peripapillary retina levels. Finally, the importance of a clear protocol for managing new POAG cases is highlighted and a clinical conduit is proposed.
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Yang, Bufan. "Assessment of cardiac autonomic neuropathy (CAN) in Type I diabetic mice." Digital WPI, 2011. https://digitalcommons.wpi.edu/etd-dissertations/398.

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"Diabetic cardiovascular autonomic neuropathy (DCAN) is common in patients with diabetes mellitus, and causes abnormalities in heart rate control as well as central and peripheral nervous system dynamics. A good understanding of DCAN is not established yet. An effective way to detect diabetes mellitus at an early stage is still undiscovered, which method is highly desired by researchers and patients. One reason why the pathogenesis of DCAN is unclear is that non- invasive assessment of DCAN in humans and animals has been problematic. The non-stationary and non- linear natures of the interested physiological signals have placed great limitation on traditionally algorithms. To overcome this limitation, this work proposes a series of time- varying, nonlinear and non-invasive methods to assess cardiac autonomic dysregulation from ECG and PPG records. Including a non-stationary method called PDM, which is based on principal dynamic mode (PDM) analysis of heart rate variability (HRV), nonstationary power spectral density called TVOPS-VFCDM and also standard spectrum analysis method of HRV. We are also able to study and analyze a series of long term and short term ECG and PPG data. In a pilot study, ECG was measured via telemetry in conscious 4 month old C57/Bl6 controls and in Akita mice, a model of insulin- dependent type I diabetes, while PPG was measured via tail pulse oximetry system from 2 month old to 4 month old. The results indicate significant cardiac autonomic impairment in the diabetic mice in comparison to the controls at 4 month old and such impairment start to present at 3 month old. Further, both immunohistochemistry and Western blot analyses show a reduction in nerve density in Akita mice as compared to the control mice, thus, corroborating our data analysis records."
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Takahashi, A., S. Hakusui, N. Sakurai, Y. Kanaoke, Y. Hasegawa, Y. Koike, H. Watanabe, and M. Hirayama. "Postprandial hypotension: hemodynamic differences between multiple system atrophy and peripheral autonomic neuropathy." Thesis, Elsevier, 1993. http://hdl.handle.net/2237/16641.

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Karachaliou, Fotini-Heleni. "The Avon Childhood Diabetes Project : evolution of microvascular disease and autonomic neuropathy." Thesis, University of Bristol, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389377.

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Mukkamala, Ramakrishna 1971. "Closed-loop system identification of cardiovascular control mechanisms in diabetic autonomic neuropathy." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/36969.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
Includes bibliographical references (p. 92-95).
by Ramadrishna Mukkamala.
M.S.
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Kellogg, Aaron. "Effect of Cyclooxygenase (COX)-2 Activation on Diabetic Neuropathy." University of Toledo Health Science Campus / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=mco1211909697.

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Books on the topic "Autonomic neuropathy"

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Gilbey, Stephen George. Studies in diabetic autonomic neuropathy. Birmingham: University of Birmingham, 1988.

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Javorka, Michal. Cardiovascular signals in diabetes mellitus: A new tool to detect autonomic neuropathy. Hauppauge, N.Y: Nova Science, 2009.

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Low, Phillip A. Autonomic Neuropathies. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199937837.003.0118.

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Autonomic neuropathy is a peripheral neuropathy with selective or disproportionate involvement of autonomic fibers. Because autonomic nerves innervate all organ systems, the manifestations of dysautonomia are protean. There are many causes of the autonomic neuropathies (Table 118.1). Some of the disorders in Table 118.1 are described in detail in other chapters. This chapter provides a brief description of the autonomic neuropathies, going from the acute/subacute to the more slowly evolving categories and finishing with some entities with less generalized dysautonomia.
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Publications, ICON Health. Autonomic Neuropathy - A Medical Dictionary, Bibliography, and Annotated Research Guide to Internet References. ICON Health Publications, 2004.

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Keltner, John R., Cherine Akkari, and Ronald J. Ellis. Neurological Complications of HIV in The Peripheral Nervous System. Edited by Mary Ann Cohen, Jack M. Gorman, Jeffrey M. Jacobson, Paul Volberding, and Scott Letendre. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199392742.003.0027.

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HIV sensory neuropathy affects approximately 50% of persons diagnosed with HIV and, in 40%, results in disabling symptoms including paresthesia and/or pain. This chapter focuses on providing guidance to psychiatrists in the clinical management of pain in persons with HIV and sensory neuropathy. The differential diagnostic evaluation of HIV sensory neuropathy, other peripheral neuropathies, and spinal cord mimics and management of HIV sensory neuropathy are reviewed, as well as management of HIV distal neuropathic pain. The differential diagnostic evaluation of peripheral neuropathies is simplified using a graphical decision tree. The chapter also reviews the pathophysiology of HIV sensory neuropathy and warning signs of advanced disease. Procedures to diagnose HIV sensory neuropathy, including nerve conduction studies and electromyography, quantitative sensory testing, skin biopsy, and the autonomic sweat test are discussed, as are clinical aspects of HIV distal neuropathic pain. The chapter addresses the impact of HIV distal neuropathic pain on quality of life and depression and concludes with a discussion of treatments for HIV distal neuropathic pain.
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Cohen, Jeffrey A., Justin J. Mowchun, Victoria H. Lawson, and Nathaniel M. Robbins. A 50-Year-Old Woman with Burning Feet. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190491901.003.0020.

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Small-fiber neuropathy typically presents with burning pain or with widespread brief stabbing pains, by atypical presentations including asymmetric sensory symptoms are common. Nerve conduction studies are usually normal, as this disorder test only interrogates large fiber function; in small-fiber neuropathy the pathology is restricted to smaller unmyelinated fibers. Autonomic neuropathy can accompany the painful peripheral neuropathy but can be difficult to recognize since the symptoms can be protean. In this chapter, clinical characteristics of small-fiber and autonomic neuropathy are discussed. Various diagnostic modalities are described, including the benefits and pitfalls of available options. The most common conditions causing small-fiber and autonomic neuropathy are reviewed. The controversy surrounding impaired glucose tolerance as an etiological factor is dicusssed. We discuss the available medications and outline a rational approach to treatment.
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Hartwig, Mary Steen. THE RELATIONSHIP OF DIABETIC AUTONOMIC NEUROPATHY TO IMPAIRED FUNCTIONAL ABILITY IN PERSONS WITH INSULIN-DEPENDENT DIABETES MELLITUS. 1993.

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Cohen, Jeffrey A., Justin J. Mowchun, Victoria H. Lawson, and Nathaniel M. Robbins. A 44-Year-Old Male with Subacute Onset of Syncope. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190491901.003.0032.

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Syncope in a patient with orthostatic hypotension (OH) may indicate autonomic dysfunction. The definition of OH is presented. Clinical features of parasympathetic and sympathetic function are discussed. The differential of acute autonomic dysfunction includes a number of conditions. An autoimmune etiology may occur autoimmune autonomic ganglionopathy. Serologic testing can assist in this diagnosis. If autoimmune immune modulating therapies may be indicated. Autonomic neuropathy may be a paraneoplastuc syndrome. Autonomic testing can also help with documenting autonomic neuropathy as well as the whether the defects are predominately parasympathetic or sympathetic. Amyloid should be considered as should diabetes but both have a more chronic course. An appropriate tissue biopsy with Congo Red staining can help to confirm the diagnosis of amyloid.
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Pitt, Matthew. Pathophysiological correlations in neuropathies. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198754596.003.0004.

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This chapter begins with an explanation of the pathophysiological correlations between the recorded changes and the underlying diagnosis which allow classification into demyelinating and axonal neuropathy. Demyelinating neuropathies are discussed first. The extensive and ever expanding literature in hereditary neuropathies is highlighted. The different variants of the acute inflammatory demyelinating polyneuropathy encountered in children are discussed along with the electrodiagnostic criteria for the diagnosis. Chronic inflammatory demyelinating polyneuropathy is then covered, both in its clinical presentation and electrodiagnosis. Other causes such as MNGIE and Lyme disease are highlighted. In the section on axonal neuropathy, division into hereditary and acquired is made. The diagnosis of sensorimotor hereditary neuropathies is discussed along with primarily sensory neuropathies including ataxia telangiectasia, Friedreich’s ataxia, and abetalipoproteinaemia, finishing with discussion of the hereditary sensory and autonomic neuropathies. The many different causes of acquired axonal neuropathy are listed and discussed including neoplasia, endocrine disturbances, metabolic conditions, infective agents, autoimmune conditions, mitochondrial disease, drugs, and vitamin deficiency, finishing with critical illness neuromyopathy.
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Waldmann, Carl, Neil Soni, and Andrew Rhodes. Physical disorders. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199229581.003.0029.

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Hypothermia 498Drowning and near-drowning 500Rhabdomyolysis 502Pressure sores 504Defined as core temperature <35°CMild 32–35°C; moderate 26–32°C; severe <26°CIncreasing age, abnormal mental state, immobility (orthopaedic, Parkinsonism), drugs (alcohol, barbiturate, major tranquillizers, antidepressants), endocrine (hypothyroidism, hyperglycaemia, adrenal insufficiency, hypopituitarism), autonomic neuropathy (diabetes mellitus, Parkinsonism), malnutrition, renal failure, sepsis (excessive heat loss from vasodilatation), exposure (inadequate clothing/eating, near drowning)....
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Book chapters on the topic "Autonomic neuropathy"

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Rana, Abdul Qayyum, Ali T. Ghouse, and Raghav Govindarajan. "Autonomic Neuropathy." In Neurophysiology in Clinical Practice, 147–51. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39342-1_18.

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Mandl, Thomas, and Lennart Jacobsson. "Autonomic Neuropathy." In Sjögren’s Syndrome, 303–19. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-947-5_22.

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Marathe, Chinmay S., Liza Phillips, and Michael Horowitz. "Autonomic neuropathy." In International Textbook of Diabetes Mellitus, 939–52. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118387658.ch64.

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Freeman, Roy. "Diabetic Autonomic Neuropathy." In Clinical Management of Diabetic Neuropathy, 181–208. Totowa, NJ: Humana Press, 1998. http://dx.doi.org/10.1007/978-1-4612-1816-6_12.

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Kamenov, Zdravko A., and Latchezar D. Traykov. "Diabetic Autonomic Neuropathy." In Advances in Experimental Medicine and Biology, 176–93. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5441-0_15.

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Tentolouris, Anastasios, and Nikolaos Tentolouris. "Diabetic Autonomic Neuropathy." In Autonomic Nervous System and Sleep, 307–15. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62263-3_27.

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Struhal, Walter. "Acute Autonomic Neuropathy." In Autonomic Nervous System and Sleep, 289–99. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62263-3_25.

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Colombo, Joseph, Rohit Arora, Nicholas L. DePace, and Aaron I. Vinik. "Autonomic Dysfunction Versus Neuropathy." In Clinical Autonomic Dysfunction, 151–56. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07371-2_13.

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Serhiyenko, Viktoria, and Alexandr Serhiyenko. "Diabetic Cardiac Autonomic Neuropathy." In The Diabetes Textbook, 825–50. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11815-0_53.

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Macleod, Andrew F. "Diabetes and Autonomic Neuropathy." In Diabetes, 119–40. Oxford, UK: Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781118405550.ch6.

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Conference papers on the topic "Autonomic neuropathy"

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Robles-Cabrera, Adriana, Bruno Estañol, Ruben Fossion, Ana Rivera, and Alejandro Frank. "Cardiac autonomic neuropathy in diabetic patients." In 1ST INTERNATIONAL CONFERENCE ON BIOINFORMATICS, BIOTECHNOLOGY, AND BIOMEDICAL ENGINEERING (BIOMIC 2018). Author(s), 2019. http://dx.doi.org/10.1063/1.5095926.

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Jelinek, Herbert F., David J. Cornforth, Mika P. Tarvainen, and Neboja T. Miloevic. "Multiscale Renyi Entropy and Cardiac Autonomic Neuropathy." In 2015 20th International Conference on Control Systems and Computer Science (CSCS). IEEE, 2015. http://dx.doi.org/10.1109/cscs.2015.148.

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Gorde, Kanchan, and Supriya Mangalpalli. "Device for early diagnosis of Diabetic Autonomic Neuropathy." In 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). IEEE, 2016. http://dx.doi.org/10.1109/iceeot.2016.7754899.

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Pruna, S., C. Ionescu-Tirgoviste, D. Constantin, M. Tripsa, O. Asiminei, and G. Gearavela. "Computerised system for diagnosis of the autonomic neuropathy." In 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.5761670.

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Pruna, Ionescu-tirgoviste, Constantine, Tripsa, Asiminei, and Gearavela. "Computerised System For Diagnosis Of The Autonomic Neuropathy." In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.592993.

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Cornforth, David J., Mika P. Tarvainen, and Herbert F. Jelinek. "Using renyi entropy to detect early cardiac autonomic neuropathy." In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013. http://dx.doi.org/10.1109/embc.2013.6610810.

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"Quantitative Assessment of Diabetics with Various Degrees of Autonomic Neuropathy." In International Conference on Bio-inspired Systems and Signal Processing. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004230003020305.

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Silva, Gustavo Figueiredo da, Giulia Murillo Wollmann, Luana Schlindwein Imhof, Marina Steingräber Pereira, Matheus Fellipe Nascimento de Souza, André Eduardo de Almeida Franzoi, and Marcus Vinicius Magno Gonçalves. "Small-fiber neuropathy and celiac disease: A narrative review." In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.392.

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Abstract:
Background: Neurological manifestations of celiac disease (CD) have a prevalence of 10% to 22% among patients. Of this group, neuropathy is present in up to 23%, with small fiber neuropathy (SFN) being the most described, with a predominance of painful symptoms and appendicular paresthesia. Objectives: Review literature to describe the clinical management of SFN in CD. Design and setting: Narrative review. Methods: Non-systematic review on Pubmed and Scielo database. Results: CD is a chronic inflammatory autoimmune disease that can generate extraintestinal manifestations as SFN. Small fiber neuropathy is a painful focal sensory neuropathy of slow progression, with distal predominance, symmetrical or not, beginning in adulthood and, sometimes, followed by autonomic dysfunction. Electroneuromyography studies (ENMG) suggest greater involvement of myelinated Adelta and C myelinated thin fibers, which is a precursor of sensory ganglionopathy in the dorsal root and can progress to large fiber neuropathy. The ENMG of SFN is usually normal because it is generally not demyelinating. To confirm the diagnosis, a skin biopsy that evaluates the fiber’s intra-epidermal density is indicated. Another exam is the quantitative test of the sudomotor reflex, capable of evaluating autonomic function. Finally, treatment should be directed to the underlying cause, optimization of the treatment of CD, and the management of symptoms, such as pain. Conclusions: The SFN, despite being an uncommon manifestation of CD, is possibly underdiagnosed due to the lack of studies evaluating this manifestation in celiac patients. Therefore, further studies are needed in order to instigate early diagnosis and adequate clinical management.
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Cornforth, David, Mika Tarvainen, and Herbert F. Jelinek. "Computational intelligence methods for the identification of early Cardiac Autonomic Neuropathy." In 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA 2013). IEEE, 2013. http://dx.doi.org/10.1109/iciea.2013.6566500.

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Cornforth, David J., Mika P. Tarvainen, and Herbert F. Jelinek. "Evaluation of normalised Renyi entropy for classification of cardiac autonomic neuropathy." In 2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO). IEEE, 2014. http://dx.doi.org/10.1109/esgco.2014.6847489.

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Reports on the topic "Autonomic neuropathy"

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Chen, Junmin, Jiawei Cai, Mengya Wei, Xiaoran Zhang, Min Zhong, Min Liu, and Qiu Chen. Effects of Guizhi decoction for diabetic cardiac autonomic neuropathy: a protocol for a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2020. http://dx.doi.org/10.37766/inplasy2020.8.0018.

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