Academic literature on the topic 'Diabetes mellitus I'

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Journal articles on the topic "Diabetes mellitus I"

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Doamekpor, Caleb. "Diabetes Mellitus." Acta Scientific Pharmaceutical Sciences 4, no. 2 (January 31, 2020): 01–09. http://dx.doi.org/10.31080/asps.2020.04.diabetes-mellitus.

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GÜRBÜZ, Murat, and Menşure Nur ÇELİK. "Minerals and Diabetes Mellitus." Turkiye Klinikleri Journal of Internal Medicine 4, no. 2 (2019): 71–83. http://dx.doi.org/10.5336/intermed.2018-64388.

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Chaudhary, Nitin, and Nidhi Tyagi. "Diabetes mellitus: An Overview." International Journal of Research and Development in Pharmacy & Life Sciences 7, no. 4 (August 2018): 3030–33. http://dx.doi.org/10.21276/ijrdpl.2278-0238.2018.7(4).3030-3033.

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Ambulkar, Sunil, Parimal Tayde, Makarand Randive, and Mukund Ganeriwal. "Diabetes mellitus in pregnancy." New Indian Journal of OBGYN 4, no. 1 (July 2017): 4–9. http://dx.doi.org/10.21276/obgyn.2017.4.1.2.

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Begum, SA, R. Afroz, Q. Khanam, A. Khanom, and TS Choudhury. "Diabetes Mellitus and Gestational Diabetes Mellitus." Journal of Paediatric Surgeons of Bangladesh 5, no. 1 (June 30, 2015): 30–35. http://dx.doi.org/10.3329/jpsb.v5i1.23887.

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Diabetes mellitus (DM), also known as simply diabetes, is a group of metabolic diseases in which there are high blood sugar levels over a prolonged period. Worldwide in 2012 and 2013 diabetes resulted in 1.5 to 5.1 million deaths per year, making it the 8th leading cause of death. Diabetes overall at least doubles the risk of death. This high blood sugar produces the symptoms of frequent urination, increased thirst, and increased hunger. Untreated, diabetes can cause many complications. Acute complications include diabetic ketoacidosis and nonketotic hyperosmolar coma. Serious long-term complications include heart disease, stroke, kidney failure, foot ulcers and damage to the eyes. The number of people with diabetes is expected to rise to 592 million by 2035. The economic costs of diabetes globally were estimated in 2013 at $548 billion and in the United States in 2012 $245 billion. [3]Globally, as of 2013, an estimated 382 million people have diabetes worldwide, with type 2 diabetes making up about 90% of the cases. This is equal to 8.3% of the adults’ population, with equal rates in both women and men. There are three main types of diabetes mellitus: In case of type 1 Diabetes mellitus, results from the body’s failure to produce enough insulin. This form was previously referred to as “insulin-dependent diabetes mellitus” (IDDM) or “juvenile diabetes”. The cause is unknown. Another type is type 2 diabetes mellitus begins with insulin resistance, a condition in which cells fail to respond to insulin properly. As the disease progresses a lack of insulin may also develop. This form was previously referred to as “non insulin-dependent diabetes mellitus” (NIDDM) or “adult-onset diabetes”. The primary cause is excessive body weight and not enough exercise. Gestational diabetes is the third main form and occurs when pregnant women without a previous history of diabetes develop a high blood glucose level. Gestational diabetes usually resolves after the birth of the baby. It occurs in about 2–10% of all pregnancies and may improve or disappear after delivery. However, after pregnancy approximately 5–10% of women with gestational diabetes are found to have diabetes mellitus, most commonly type 2. Gestational diabetes is fully treatable, but requires careful medical supervision throughout the pregnancy.J. Paediatr. Surg. Bangladesh 5(1): 30-35, 2014 (January)
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Daidano, Jeando Khan, Nazia Azam Yusfani, and Bilqees Daidano. "DIABETES MELLITUS." Professional Medical Journal 25, no. 06 (June 9, 2018): 881–86. http://dx.doi.org/10.29309/tpmj/18.4535.

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Pelikánová, Terezie. "Diabetes mellitus and cardiovascular diseases." Cor et Vasa 53, no. 4-5 (April 1, 2011): 242–48. http://dx.doi.org/10.33678/cor.2011.054.

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Goldmannová Ondřej Krystyník David Karásek, Dominika, and Josef Zadražil. "Diabetes mellitus after organ transplantation." Interní medicína pro praxi 21, no. 1 (February 21, 2019): 20–23. http://dx.doi.org/10.36290/int.2019.003.

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Poskerová, H., P. Linhartová, J. Vokurka, A. Fassmann, and L. Hollá. "Diabetes Mellitus and Oral Health." Česká stomatologie/Praktické zubní lékařství 114, no. 5 (December 1, 2014): 75–86. http://dx.doi.org/10.51479/cspzl.2014.018.

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Padmasri Devi, P., M. Mahalakshmi, V. Sarojini Devi, M. Kiran Deedi, Ch Ganapathi Swamy, and V. Thoyoja Durga. "Prevalence of Gestational Diabetes Mellitus." Indian Journal of Obstetrics and Gynecology 7, no. 2 (2019): 309–11. http://dx.doi.org/10.21088/ijog.2321.1636.7219.31.

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Dissertations / Theses on the topic "Diabetes mellitus I"

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Grou, Isabel Maria Lampreia. "Diabetes mellitus em canídeos." Bachelor's thesis, Universidade Técnica de Lisboa. Faculdade de Medicina Veterinária, 2008. http://hdl.handle.net/10400.5/900.

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Dissertação de Mestrado Integrado em Medicina Veterinária
A diabetes mellitus é uma insuficiência absoluta ou relativa de insulina que resulta da deficiente secreção desta por parte das células pancreáticas ou da oposição à acção da insulina. A diabetes é uma das endocrinopatias mais frequentes no cão. Quando é diagnosticado com diabetes mellitus, o animal pode encontrar-se num estado dependente de administração exógena de insulina de insulina, em que as células já não produzem insulina, ou num estado de não dependente de insulina, em que as células ainda possuem alguma função residual. No cão, a diabetes mellitus dependente de insulina é uma patologia multifactorial. Alguns dos factores implicados na etiologia da doença são: predisposição genética, infecção, patologia que provoque antagonismo à insulina, fármacos, obesidade, insulite imunomediada e pancreatite. Todos os factores referidos desempenham um papel que culmina na perda de função das células , hipoinsulinemia, deficiência no transporte da glucose para o interior das células e aceleração do processo de gluconeogénese hepática e glicogenólise. A insuficiência em insulina provoca a diminuição da utilização da glucose, levando a hiperglicemia. A glucose, como é uma molécula pequena, é filtrada pelo glomérulo renal; quando a capacidade de reabsorção de glucose das células dos túbulos renais a partir do filtrado glomerular é excedida, ocorre glicosúria. A glicosúria provoca diurese osmótica, que leva a polidipsia. Como a entrada da glucose nas células do centro da saciedade é mediada pela insulina, o centro da saciedade não inibe o centro da alimentação. Os quatro sinais clássicos de diabetes são então poliúria, polidipsia, polifagia e perda de peso. O principal objectivo da terapêutica instituída é eliminar os sinais clínicos observados pelo dono, o que pode ser conseguido com uma administração ponderada de insulina, dieta, exercício e com a prevenção ou controlo de doenças inflamatórias, infecciosas, neoplásicas e endócrinas. As complicações mais frequentes são cegueira devido à formação de cataratas, pancreatite crónica e infecções recorrentes do tracto urinário, das vias respiratórias e da pele. Os animais diabéticos têm ainda o risco de desenvolver hipoglicemia e cetoacidose. A cetoacidose diabética é consequência da diabetes que resulta em formação de corpos cetónicos no fígado, em acidose metabólica, desidratação severa, choque e possivelmente morte. A maior parte dos cães diabéticos vive menos de 5 anos após o diagnóstico, sendo que os primeiros seis meses são decisivos para o controlo da doença. Com cuidados apropriados por parte dos donos, avaliações regulares por parte do veterinário e uma boa comunicação entre o cliente e o médico veterinário, muitos animais diabéticos podem levar vidas relativamente normais durante vários anos.
ABSTRACT - Diabetes mellitus, which is a very common endocrinopathy in the dog, is an absolute or relative insufficiency in the production of insulin by the pancreatic cells or an impaired sensitivity to the hormone or both. When diagnosed with diabetes mellitus some animal may need insulin therapy immediately, for their cells produce no insulin - insulin dependent diabetes mellitus, and some others may have a slower loss of function of cells - non-insulin dependent diabetes mellitus. The etiology of insulin dependent diabetes mellitus in the dog is multifactorial, being related to genetic susceptibility, infections, insulin resistance inducing disease, drugs, obesity, immune mediated insulitis and pancreatitis. All these factors lead to the functional loss of pancreatic cells, impaired transport of glucose into cells and enhancing the hepatic gluconeogenesis and glycogenolisis. The classic clinical signs of diabetes mellitus are polyuria, polydipsia, polyphagia and weight loss. The insulin deficiency leads to a decrease in glucose use and sequent hyperglycemia. Being a small molecule, glucose is filtrated in the renal glomérulos; when the ability of reabsorbing glucose of the tubular cells is overwhelmed, glycosuria occurs. Glycosuria leads to osmotic diuresis, which in turn leads to polydipsia. To enter the satiety center cells, glucose needs insulin. Without it, the satiety center never inhibits the hunger center. The treatment of diabetes aims to control the clinical signs described, and that con be achieved with insulin therapy, diet, exercise and prophylaxis and control of infectious, inflammatory, neoplastic or endocrine diseases. The most frequent consequences of diabetes mellitus in dogs are blindness as a consequence of diabetic cataracts, chronic pancreatitis and urinary tract, skin and upper respiratory tract infections. Diabetic dogs have an increased risk of developing hypoglycemia and ketoacidosis. Ketoacidosis leads to hepatic production of ketone bodies, metabolic acidosis, severe dehydration and even death. Most diabetic dogs live up to 5 years after they are diagnosed, the six first months being the most important ones. With proper care from the owner, regular reevaluations with the veterinarian and good communication between veterinarian and owner, the diabetic dog can have an ordinary life for several years.
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Nordwall, Maria. "Long term complications in juvenile diabetes mellitus." Doctoral thesis, Linköping : Univ, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-6377.

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Beales, Philip Edward. "Diabetes prevention in the non-obese diabetic mouse." Thesis, University of East London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.265059.

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Clifford, Rhonda Marise. "Pharmaceutical care in diabetes mellitus." Curtin University of Technology, School of Pharmacy, 2004. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=14951.

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People with diabetes mellitus are more likely to die from cardiovascular causes than those without diabetes, and modifiable risk factors, such as hyperglycaemia, dyslipidaemia and hypertension can be targeted in intervention programs to decrease this risk. In addition to tertiary care for patients with diabetes, there is a need for simple programs to be implemented in the community that allow the benefits of improved metabolic and blood pressure control to be realised more widely. Pharmaceutical care comprises the detection, prevention and solution of drug-related problems in a quantifiable form, so that outcomes of care can be easily reviewed and monitored. Previous studies of pharmaceutical care programs in patients with diabetes do not provide conclusive evidence of the benefit of pharmaceutical care. The aim of this research was to evaluate the impact of the provision of pharmaceutical care to patients with diabetes mellitus in an Australian context. In order to develop a pharmaceutical care program, the characteristics of an Australian cohort of patients with diabetes were reviewed. The Fremantle Diabetes Study (FDS), was a community-based prospective observational study of diabetes care, control and complications in a postcode-defined region of 120 097 people surrounding the port city of Fremantle in Western Australia. It was intended that the FDS annual reviews would provide important local information in order to design and implement a prospective pharmaceutical care program. A pilot pharmaceutical care program was subsequently developed for use in a diabetes outpatient clinic. This program was then modified for use in a community-based sample of type 2 diabetes mellitus patients, drawn from the FDS cohort.
Demographic parameters, including ethnicity and treatment details, were reviewed at study entry for the full FDS cohort and then over time for a subset of patients that returned for four subsequent annual assessments. Insulin use was more common in patients of Southern European origin compared with the Anglo-Celt group irrespective of the level of glycaemia, at baseline. This difference persisted during subsequent follow-up but was not associated with improved glycaemic control. These findings demonstrated that there are important ethnic differences in the management of patients with type 2 diabetes mellitus. The pilot pharmaceutical care program was carried out in high-risk diabetes mellitus patients attending a hospital outpatient clinic. The patients had poor glycaemic control, dyslipidaemia, hypertension and/or were on three or more prescription medications. In the pharmaceutical care arm, a clinical pharmacist reviewed and monitored all aspects of the patients' drug therapy in collaboration with other health care professionals at six weekly intervals for six months. The control patients received usual outpatient care. Seventy-three patients were recruited into the study, of whom 48 (66%) were randomised to receive pharmaceutical care. One in six patients was taking complementary medicines. The pharmaceutical care program provided patients with important medication information that resulted in changes to drug therapy. However, the six-month program did not lead to an improvement in glycaemic control. The next phase of the study adapted the pilot hospital-based pharmaceutical care program to a community-based setting.
Two hundred and two type 2 diabetes mellitus FDS patients were recruited, of whom 101 (50%) were randomised to the pharmaceutical care program, and all were followed for 12-months. There were significant reductions in risk factors associated with coronary heart disease in the case but not the control group over time, specifically glycaemic control, lipid levels, and blood pressure. Glycosylated haemoglobin fell from 7.5% to 7.0% (P<0.0001), total cholesterol fell from 5 mmol/L to 4.6 mmol/L (P<0.0001), systolic blood pressure fell from 158 mmHg to 143 mmHg (P<0.0001) and diastolic blood pressure fell from 77mmHg to 71mmHg (P<0.0001). Multiple linear regression analysis confirmed that pharmaceutical care program involvement was an independent predictor of benefit after adjustment for key variables. The 10-year coronary heart disease risk for patients without a previous coronary event was reduced by 4.6% over the 12-month study period in the pharmaceutical care group (P<0.0001), while there was no change in the controls (P=0.23). This phase of the study showed that medium-term individualised pharmaceutical care reduced vascular risk factors in a community-based cohort of patients with diabetes and that provision of a multifactorial intervention can improve health outcomes in type 2 diabetes mellitus. As part of the pharmaceutical care program, a high level of complementary medicine use was found. As a result, a study of complementary medicine use was undertaken in 351 patients from the FDS. A convenience sample of FDS patients was interviewed regarding their use of complementary medicines. A literature search was conducted to assess the potential impact of these medicines on diabetes, concomitant medications or diabetes-related co-morbidities.
Eighty-three of 351 (23.6%) patients with diabetes had consumed at least one complementary medicine in the previous year and 42% (77/183) of the products potentially necessitated additional patient monitoring or could be considered potentially inappropriate for a diabetic patient. The data indicated the need for patient disclosure of complementary medicine use and adequate monitoring for complementary medicine-related adverse events, as part of the pharmaceutical care process. The pharmaceutical care model was established to provide a framework by which drug use could be improved to enhance patients' clinical and health-related quality of life outcomes. For the present study, a straightforward pharmaceutical care program was adapted from a hospital setting to a community setting, where the principal requirement was a clinical pharmacist who had completed a self-directed diabetes-training program. In this context, clinically relevant parameters improved over the course of the study period. Pharmaceutical care programs such as this can begin the process of translating the findings of large and expensive clinical trials into standard clinical practice.
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Sels, Jean-Pierre Joseph Emile. "Dietary fibre and diabetes mellitus." Maastricht : Maastricht : Datawyse ; University Library, Maastricht University [Host], 1991. http://arno.unimaas.nl/show.cgi?fid=5618.

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Chan, Juliana Chung Ngor. "Diabetes mellitus in Hong Kong." Thesis, University of Liverpool, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246160.

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Talwar, D. "Glucosylated haemoglobin and diabetes mellitus." Thesis, University of Strathclyde, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.371982.

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Lutgers, Helen Lucia. "Skin autofluorescence in diabetes mellitus." [S.l. : [Groningen : s.n.] ; University Library Groningen] [Host], 2008. http://irs.ub.rug.nl/ppn/.

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Pinto, Mariana de Carvalho [UNESP]. "Parâmetros Neuropáticos no Diabetes Mellitus." Universidade Estadual Paulista (UNESP), 2014. http://hdl.handle.net/11449/123212.

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A neuropatia diabética é caracterizada por uma síndrome clínica ou sub -clínica que afeta o sistema nervoso central e periférico, incluindo o autonômico. Frente ao crescente número de novos casos de diabetes mellitus e a elevada incidência de manifestações crônico - degenerativas, como a neuropatia periférica e a neuropatia autonômica cardiovascular, este estudo objetivou: a) fazer uma comparação da variabilidade cardíaca (VC), em indivíduos com diabetes mellitus tipo 2 com confirmação de neuropatia diabética periférica, e indivíduos saudáveis.; b) identificar o risco de queda através de um teste de mobilidade fun cional em não diabéticos, diabéticos neuropatas e diabéticos neuropata -vasculopatas. Para tanto, no primeiro estudo participaram 108 indivíduos divididos em grupo controle (GC) (n=34) e grupo diabético neuropata (GDN) (n=74). Inicialmente, foram reali zados testes para confirmação da neuropatia. Em seguida, a avaliação da atividade do sistema nervoso autônomo (SNA) foi realizada por meio da VC com o auxílio do software Nerve -Express® (Heart Rhythm Instruments, Metuchen, NJ, EUA). Já o segundo estudo, foi composto por 61 sujeitos de ambos os gêneros divididos em GC (n=32), GDN (n=18) e grupo diabético neuropata vasculopata (GDNV) (12)...
Diabetic neuropathy is characterized by clinical or sub -clinical syndrome that affects the central and peripheral nervous system including the autonomic. Tackle the growing number of 17 new cases of diabetes mellitus and the high incidence of chronic degenerative disorders, such as peripheral neuropathy and cardiovascular autonomic neuropathy, this study aimed to: a) make a comparison of heart rate variability (CV), in individuals with diabetes mellitus type 2 with confirmation of diabetic peripheral neuropathy, and healthy individuals .; b) identify the risk of falling through a functional mobility test in non -diabetic, diabetic neuropathy and diabetic neuropathy-vasculopathies. Therefore, in the first s tudy participated 108 individuals divided into a control group (CG) (n = 34) and diabetic neuropathy group (GDN) (n = 74). Initially, to confirm the neuropathy tests were performed. Then, the evaluation of the activity of the autonomic nervous system (ANS) was performed by the VC with the help of Nerve - Express® software (Heart Rhythm Instruments, Metuchen, NJ, USA). The second study consisted of 61 subjects of both genders divided into GC (n = 32), GDN (n = 18) and diabetic neuropathy vasculopata group (GDNV) (12)...
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Pinto, Mariana de Carvalho. "Parâmetros Neuropáticos no Diabetes Mellitus /." Presidente Prudente, 2014. http://hdl.handle.net/11449/123212.

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Orientador: Cristina Elena Prado Teles Fregonesi
Banca: Roselene Modolo Regueiro Lorençoni
Banca: Marli Aparecida Defani
Resumo: A neuropatia diabética é caracterizada por uma síndrome clínica ou sub -clínica que afeta o sistema nervoso central e periférico, incluindo o autonômico. Frente ao crescente número de novos casos de diabetes mellitus e a elevada incidência de manifestações crônico - degenerativas, como a neuropatia periférica e a neuropatia autonômica cardiovascular, este estudo objetivou: a) fazer uma comparação da variabilidade cardíaca (VC), em indivíduos com diabetes mellitus tipo 2 com confirmação de neuropatia diabética periférica, e indivíduos saudáveis.; b) identificar o risco de queda através de um teste de mobilidade fun cional em não diabéticos, diabéticos neuropatas e diabéticos neuropata -vasculopatas. Para tanto, no primeiro estudo participaram 108 indivíduos divididos em grupo controle (GC) (n=34) e grupo diabético neuropata (GDN) (n=74). Inicialmente, foram reali zados testes para confirmação da neuropatia. Em seguida, a avaliação da atividade do sistema nervoso autônomo (SNA) foi realizada por meio da VC com o auxílio do software Nerve -Express® (Heart Rhythm Instruments, Metuchen, NJ, EUA). Já o segundo estudo, foi composto por 61 sujeitos de ambos os gêneros divididos em GC (n=32), GDN (n=18) e grupo diabético neuropata vasculopata (GDNV) (12)...
Abstract: Diabetic neuropathy is characterized by clinical or sub -clinical syndrome that affects the central and peripheral nervous system including the autonomic. Tackle the growing number of 17 new cases of diabetes mellitus and the high incidence of chronic degenerative disorders, such as peripheral neuropathy and cardiovascular autonomic neuropathy, this study aimed to: a) make a comparison of heart rate variability (CV), in individuals with diabetes mellitus type 2 with confirmation of diabetic peripheral neuropathy, and healthy individuals .; b) identify the risk of falling through a functional mobility test in non -diabetic, diabetic neuropathy and diabetic neuropathy-vasculopathies. Therefore, in the first s tudy participated 108 individuals divided into a control group (CG) (n = 34) and diabetic neuropathy group (GDN) (n = 74). Initially, to confirm the neuropathy tests were performed. Then, the evaluation of the activity of the autonomic nervous system (ANS) was performed by the VC with the help of Nerve - Express® software (Heart Rhythm Instruments, Metuchen, NJ, USA). The second study consisted of 61 subjects of both genders divided into GC (n = 32), GDN (n = 18) and diabetic neuropathy vasculopata group (GDNV) (12)...
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Books on the topic "Diabetes mellitus I"

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Liao, Tien Ren. Diabetes mellitus. Washington, D.C: Science Reference Section, Science and Technology Division, Library of Congress, 1986.

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Diabetes mellitus. 2nd ed. Oxford: Blackwell Scientific, 1986.

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Liao, Tien Ren. Diabetes mellitus. Washington, D.C: Science Reference Section, Science and Technology Division, Library of Congress, 1986.

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American College of Obstetricians and Gynecologists, ed. Diabetes mellitus. Seattle, Washington: American College of Obstetricians and Gynecologists, 2013.

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Kishore, P. Diabetes mellitus. Barking: Directorate of Public Health, Barking & Havering Health Authority, 1997.

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Dempsey, Denise P. Diabetes Mellitus. Washington, D.C: Science Reference Section, Science and Technology Division, Library of Congress, 2001.

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Bibergeil, Horst, ed. Diabetes mellitus. Vienna: Springer Vienna, 1989. http://dx.doi.org/10.1007/978-3-7091-7562-0.

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Bretzel, Reinhard G., ed. Diabetes mellitus. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-74610-9.

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Kooy, Adriaan. Diabetes mellitus. Houten: Bohn Stafleu van Loghum, 2008. http://dx.doi.org/10.1007/978-90-313-6626-2.

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Nakabeppu, Yusaku, and Toshiharu Ninomiya, eds. Diabetes Mellitus. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3540-2.

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Book chapters on the topic "Diabetes mellitus I"

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Hahn, H. J. "Tierexperimenteller Diabetes." In Diabetes mellitus, 108–17. Vienna: Springer Vienna, 1989. http://dx.doi.org/10.1007/978-3-7091-7562-0_4.

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Milly, Manuela. "Diabetes mellitus." In Heimhilfe, 213–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46106-8_22.

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Demakis, George J. "Diabetes Mellitus." In Encyclopedia of Clinical Neuropsychology, 1131–34. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_550.

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Piper, Brenda. "Diabetes mellitus." In Diet and Nutrition, 281–86. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-7244-6_17.

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Rosak, C., T. Dunzendorfer, and U. Hofmann. "Diabetes mellitus." In Klinische Pharmakologie, 337–59. Heidelberg: Steinkopff, 2001. http://dx.doi.org/10.1007/978-3-642-57636-2_26.

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Shillitoe, Richard. "Diabetes mellitus." In Health Psychology, 187–204. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4899-3226-6_11.

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Shillitoe, Richard W., and David W. Miles. "Diabetes mellitus." In Health Psychology, 208–33. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4899-3228-0_11.

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Peseschkian, Nossrat. "Diabetes mellitus." In Psychosomatik und positive Psychotherapie, 203–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-97847-0_16.

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Rosak, C., T. Dunzendorfer, and U. Hofmann. "Diabetes mellitus." In Klinische Pharmakologie, 608–50. Heidelberg: Steinkopff, 1996. http://dx.doi.org/10.1007/978-3-642-97796-1_35.

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Laycock, John, and Karim Meeran. "Diabetes Mellitus." In Integrated Endocrinology, 325–36. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118450642.ch15.

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Conference papers on the topic "Diabetes mellitus I"

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Ammutammima, Ummu Fatihah, Didik Gunawan Tamtomo, and Bhisma Murti. "Family History with Diabetes Mellitus and the Gestational Diabetes Mellitus: Meta-Analysis." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.05.54.

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Background: Gestational diabetes mellitus (GDM) is a major public health problem because of its associated complications during pregnancy. Studies have suggested that women with positive parental history of diabetes may be predisposed to an increased GDM risk. This study aimed to examine the correlation between family history with diabetes mellitus and the gestational diabetes mellitus. Subjects and Method: This was a meta-analysis and systematic review. The study was collected articles from PubMed, Science Direct, and Google Scholar databases, from year 2017 to 2020. Keywords used “gestational diabetes mellitus” OR “GDM” AND “pregnancy induced diabetes” AND “family history of diabetes” AND “crosssectional”. The study subject was pregnant women. Intervention was family history with diabetes mellitus with comparison no family history of diabetes mellitus. The study outcome was gestational diabetes mellitus. The articles were selected by PRISMA flow chart. The quantitative data were analyzed by ReVman 5.3. Results: 7 studies from Kuwait, Ethiopia, Fiji, Malaysia, and China, reported that family history with diabetes mellitus increased the risk of gestational diabetes mellitus (aOR= 1.68; 95% CI= 0.87 to 3.26; p= 0.120). Conclusion: Family history with diabetes mellitus increases the risk of gestational diabetes mellitus. Keywords: gestational diabetes mellitus, pregnancy induced diabetes, family history of diabetes Correspondence: Ummu Fsatihah Ammutammima. Masters Program Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: ummuftha64@gmail.com. Mobile: 081717252573. DOI: https://doi.org/10.26911/the7thicph.05.54
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Sitorukmi, Galuh, Bhisma Murti, and Yulia Lanti Retno Dewi. "Effect of Family History with Diabetes Mellitus on the Risk of Gestational Diabetes Mellitus: A Meta-Analysis." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.05.55.

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Background: Gestational diabetes mellitus (GDM) is a serious pregnancy complication, in which women without previously diagnosed diabetes develop chronic hyperglycemia during gestation. Studies have revealed that the family history of diabetes is an important risk factor for the gestational diabetes mellitus. The purpose of this study was to investigate effect of family history with diabetes mellitus on the risk of gestational diabetes mellitus. Subjects and Method: This was meta-analysis and systematic review. The study was conducted by collecting published articles from Pubmed, Google Scholar, Scopus, Science Direct, and Springer Link electronic databases, from year 2010 to 2020. Keywords used risk factor, gestational diabetes mellitus, family history, and cross-sectional. The inclusion criteria were full text, using English language, using cross-sectional study design, and reporting adjusted odds ratio. The study population was pregnant women. Intervention was family history of diabetes mellitus with comparison no family history of diabetes mellitus. The study outcome was gestational diabetes mellitus. The collected articles were selected by PRISMA flow chart. The quantitative data were analyzed by random effect model using Revman 5.3. Results: 7 studies from Ethiopia, Malaysia, Philippines, Peru, Australia, and Tanzania were selected for this study. This study reported that family history of diabetes mellitus increased the risk of gestational diabetes mellitus 2.91 times than without family history (aOR= 2.91; 95% CI= 2.08 to 4.08; p<0.001). Conclusion: Family history of diabetes mellitus increases the risk of gestational diabetes mellitus. Keywords: gestational diabetes mellitus, diabetes mellitus, family history Correspondence: Galuh Sitorukmi. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: galuh.sitorukmi1210@gmail.com. Mobile: 085799333013. DOI: https://doi.org/10.26911/the7thicph.05.55
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Alava, I., L. J. Garcia Frade, H. de la Calle, J. L. Havarro, L. J. Creighton, and P. J. Gaffney. "DIABETES MELLITUS: HYPERCOAGULABILITY AID HYPOFIBRIHOLYSIS." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1643108.

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A hypercoagulable state has been related to the presence of microvascular and macrovascular disease in Diabetes Mellitus. The aim of this study was to establish when this hypercoagulable state appears and the response of the fibrinolytic system.43 patients (29 males, 14 females, aged 19-73), 28 insulin-dependent (10 of them with micro and/or macrovascular disease), 15 non insulin- dependent (all of them with vascular disease) were studied.Platelet aggregation and adenine nucleotides, plasma and serum thromboxane B2 (TxB2), Factor VIII Coagulant (VIII-C), Factor VIII Related antigen (VIII-RAg), Factor VIII Ristocetin Cofactor (VIII-RCoF), Fibronectin, Tissue Plasminogen Activator (t-PA) and X-Oligomers fibrin fragments were measured.In the diabetic patients maximal aggregation was induced by a threshold concentration of adenosin diphosphate and arachidonic acid lower than in controls (p<0.01 and p<0.05). Diabetic patients also presented elevated platelet ADP and decreased platelet c-AMP. They had higher plasma TxB* levels than the control group.FVIII-C, FVIII-RAg and Fibronectin were increased (p<0.001) both in patients type I and II, with and without vasculopathy. FVIII-RCoF was highly increased in vasculopathy (p<0.001) while was non significant without it.The patients with vasculopathy presented decreased t-PA plasma levels (p<0.05). lo difference in X-Oligomers was found related to controls.These findings suggest: 1) A hypercoagulable state previously to the development of clinical vasculopathy. 2) A decreased fibrinolytic response associated to vasculopathy.
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Elcin, Huseyn. "EARLY IDENTIFICATION OF THE NEUROLOGICAL COMPLICATIONS OF DIABETES MELLITUS." In International Trends in Science and Technology. RS Global Sp. z O.O., 2021. http://dx.doi.org/10.31435/rsglobal_conf/30032021/7474.

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Diabetes mellitus is still a very common disease in the world and affects the daily lives of patients negatively. Diabetes is also known to be associated with neurological diseases such as peripheral nerve diseases, stroke and dementia. Among these, the most common disease is a peripheral nerve disease, and it has been reported that poor diabetic control increases the risk of development and can be prevented by education of the patients. Vascular dementia is more common in patients with diabetes than Alzheimer's disease, and it is thought that cerebrovascular diseases may berelated to cognitive impairment in diabetes. Although the mechanisms by which diabetes affects the brain are not clearly revealed, it is thought that changes in vascular structure, insulin resistance, glucose toxicity, oxidative stress, accumulation of glycation end products, hypoglycemic episodes and amyloid metabolism are effective.The aim of this article is to describe the neurological complications of diabetes and to emphasize the importance of patient education, good diabetes control and early diagnosis in preventing these complications.
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Vasil'ceva, O. YA, and K. N. Vitt. "Diabetes mellitus and thrombotic complications." In Scientific dialogue: Medical issues. ЦНК МОАН, 2019. http://dx.doi.org/10.18411/spc-15-05-2019-07.

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Eppstein, Jonathan A., and Sven-Erik Bursell. "Noninvasive detection of diabetes mellitus." In OE/LASE '92, edited by Thomas S. Mang. SPIE, 1992. http://dx.doi.org/10.1117/12.59364.

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Aprilia, Dinda, Eva Decroli, Alexander Kam, Afdol Rahmadi, Asman Manaf, and Syafril Syahbuddin. "Sepsis in Type 1 Diabetes Mellitus with Diabetic Ketoacidosis." In The 2nd International Conference on Tropical Medicine and Infectious Disease. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0009859200720074.

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Nugroho, Trilaksana, Hari Peni Julianti, Arief Wildan, rnila Novitasari Saubig, Andhika Guna Darma, and Desti Putri Seyorini. "Risk Factor of Dry Eyes Syndrome Toward Elderly with Diabetes Mellitus." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.05.26.

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ABSTRACT Background: Chronic metabolic disorder diabetes is a rapidly developing global problem with huge social, health and economic consequences. Indonesia is expected to reach 21.3 million people by 2030, and the incidence of diabetes is still increasing. Type 2 diabetes (T2DM) is an expanding global health problem closely related to the obesity epidemic. Type 2 diabetes (T2DM) is an expanding global health problem closely related to the obesity epidemic. Prolonged diabetes mellitus (DM) causes autonomic neuropathy in the lacrimal glands, which leads to reduced tear production, leading to dry eye syndrome (DES). This study aimed to analyze risk factor of dry eyes syndrome toward elderly with diabetes mellitus. Subjects and Method: A cross sectional study was conducted at community health center Gunungpati and Graha Syifa clinic, Semarang. A sample of 28 elderlies was selected by consecutive sampling. The dependent variable was incidence of DES. The independent variables were gender, duration of DM, DM control, incidence of diabetic retinopathy, type of work, exposure to cigarette smoke, exposure to gadgets, incidence of hypertension, incidence of dyslipidemia, incidence of cataracts. The data were collected by examination, questionnaire and in-depth interview. The data were analyzed by logistic regression and Chi square. Results: The logistic regression test results showed that gender, (p = 0.393), duration of diabetes (p = 0.208), and the incidence of diabetic retinopathy (p = 0.264) were not risk factors for DES. The results of the logistic regression test showed that controlling diabetes (p = 0.002), gadget exposure (p = 0.023) were risk factors for DES incidence. DM control and gadget exposure contributed 75% as risk factors for DES events. Conclusion: Uncontrolled DM and exposure to gadgets> 2 hours continuously a day are risk factors for DES. Keywords: Dry eyes, Diabetes Mellitus, Elderly Correspondence: Trilaksana Nugroho. Faculty of Medicine, Universitas Diponegoro. Jl. Prof. Sudarto No.13, Tembalang, Kec. Tembalang, Kota Semarang, Jawa Tengah 50275. DOI: https://doi.org/10.26911/the7thicph.05.26
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Krishnan, Devi R., Chakravarthy Maddipati, Gayathri P. Menakath, Anagha Radhakrishnan, Yarrangangu Himavarshini, Aparna A., Kaveri Mukundan, Rahul Krishnan Pathinarupothi, Bithin Alangot, and Sirisha Mahankali. "Evaluation of predisposing factors of Diabetes Mellitus post Gestational Diabetes Mellitus using Machine Learning Techniques." In 2019 IEEE Student Conference on Research and Development (SCOReD). IEEE, 2019. http://dx.doi.org/10.1109/scored.2019.8896323.

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Burda, Vaclav, and Daniel Novak. "Mobiab system for diabetes mellitus compensation." In 2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM). IEEE, 2015. http://dx.doi.org/10.1109/iwcim.2015.7347078.

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Reports on the topic "Diabetes mellitus I"

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Pillay, Jennifer, Pritam Chordiya, Sanjaya Dhakal, Ben Vandermeer, Lisa Hartling, Marni J. Armstrong, Sonia Butalia, et al. Behavioral Programs for Diabetes Mellitus. Agency for Healthcare Research and Quality, September 2015. http://dx.doi.org/10.23970/ahrqepcerta221.

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Larcom, Barbara, Rosemarie Ramos, Lisa Lott, J. M. McDonald, Mark True, Michele Tavish, Heidi Beason, Lee Ann Zarzabel, James Watt, and Debra Niemeyer. Genetic Risk Conferred from Single Nucleotide Polymorphisms Towards Type II Diabetes Mellitus. Fort Belvoir, VA: Defense Technical Information Center, February 2013. http://dx.doi.org/10.21236/ada573655.

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LI, Wenhui, Xiaoming HU, xuhong WANG, Lei XU, Guobin LIU, and Weijing FAN. Telemedicine for blood glucose in Diabetes Mellitus: an Overview of Systematic Reviews. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, June 2021. http://dx.doi.org/10.37766/inplasy2021.6.0024.

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Cui, Sufen. Acupuncture for chronic constipation in patients with diabetes mellitus: a systematic review protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, January 2021. http://dx.doi.org/10.37766/inplasy2021.1.0079.

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Mermeklieva, Elena. Comparative Analysis of Pattern Electroretinography Values According to the Type of Diabetes Mellitus in Patients in Different Diabetic Retinopathy Stages. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, May 2021. http://dx.doi.org/10.7546/crabs.2021.05.18.

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Zhu, Jing, Xiaohong Jiang, Kaiming Luo, Xiaolin Huang, and Fei Hua. Association between Lipocalin-2 levels and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, September 2021. http://dx.doi.org/10.37766/inplasy2021.9.0097.

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Mermeklieva, Elena, Silvia Cherninkova, Violeta Chernodrinska, Dimitar Solakov, Greta Grozeva, Maria Tomova, and Ljudmila Todorova. Combined Electrophysiological Method for Early Diagnostics of Functional Changes in the Visual Analyzer in Patients with Diabetes Mellitus withоut Diabetic Retinopathy. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, May 2019. http://dx.doi.org/10.7546/crabs.2019.05.16.

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Colonetti, Tamy, Micheli Mariot, Laura Colonetti, and Marina Costa. Effects of gluten free diet in patients with diabetes mellitus type1: systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, June 2020. http://dx.doi.org/10.37766/inplasy2020.6.0010.

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Dong, Yuwei. Meta-analysis of the association between adiponectin SNP 45, SNP 276 and type 2 diabetes mellitus. INPLASY - International Platform of Registered Systematic Review Protocols, April 2020. http://dx.doi.org/10.37766/inplasy2020.4.0013.

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Wang, Xian. Blood DNA methylation and Type 2 Diabetes Mellitus: a protocol for systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review Protocols, April 2020. http://dx.doi.org/10.37766/inplasy2020.4.0136.

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