Correlates of time to microvascular complications among diabetes mellitus patients using parametric and non-parametric approaches: a case study of Ayder referral hospital, Ethiopia

: Diabetic nephropathy (DN) is one of the most common and important microvascular complications of diabetes mellitus (DM). The main clinical features of DN are proteinuria and a progressive decline in renal function , which are associated with structural and functional changes in the kidney. The pathogenesis of DN is multifactorial, including genetic, metabolic and haemodynamic factors, which can trigger a sequence of events. Controlling metabolic risks such as hyperglycaemia, hypertension and dyslipidaemia is not enough to slow the progression of DN. Recent studies have emphasized immunoinflammation as a critical pathogenic factor in the progression of DN. Therefore, targeting inflammation is considered a potential and novel treatment strategy for DN. In this review, we will briefly introduce the inflammatory process of DN and discuss the anti-inflammatory effects of antidiabetic drugs when treating DN.

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Withdrawn: Diabetes Mellitus Prognosis Using Fuzzy Logic and Neural Networks Case Study: Alexandria Vascular Center (AVC)

Recent Advances in Computer Science and Communications ◽

10.2174/2213275912666190226161304 ◽

2019 ◽

Vol 13 ◽

Author(s):

Abeer A. Amer ◽

Soha M. Ismail

Keyword(s):

Diabetes Mellitus ◽

Neural Networks ◽

Fuzzy Logic ◽

Computer Science ◽

Recent Advances ◽

Vascular Center ◽

Legal Right

The following article has been withdrawn on the request of the author of the journal Recent Advances in Computer Science and Communications (Recent Patents on Computer Science): Title: Diabetes Mellitus Prognosis Using Fuzzy Logic and Neural Networks Case Study: Alexandria Vascular Center (AVC) Authors: Abeer A. Amer and Soha M. Ismail* Bentham Science apologizes to the readers of the journal for any inconvenience this may cause BENTHAM SCIENCE DISCLAIMER: It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript, the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.

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SARS-CoV-2 and The Case for Empirical Treatment (Preprint)

10.2196/preprints.22442 ◽

2020 ◽

Author(s):

Richard P Bartlett ◽

Alexandria Watkins

Keyword(s):

Diabetes Mellitus ◽

Type Ii Diabetes ◽

The United States ◽

Type Ii Diabetes Mellitus ◽

Outpatient Setting ◽

Empirical Treatment ◽

Residual Effects ◽

Type Ii ◽

West Texas

UNSTRUCTURED Background: This is an outpatient case study that examines two patients in the United States with unique cases that involve oncology, hypertension, Type II Diabetes Mellitus, and Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), also known as COVID-19. This case study involves two patients in the outpatient setting - treated via telemedicine, with laboratory-confirmed SARS-CoV-2 infection in the West Texas region between March 29th, 2020, and May 14th, 2020. Case Report: The first patient is a 63-year-old female, non-smoker, who is diagnosed with Waldenstrom’s Macroglobulinemia (2012) and Primary Cutaneous Marginal Zone Lymphoma (2020) and the second patient is a 38-year-old male, non-smoker, who has the following comorbidities: Type II Diabetes Mellitus (DM), hypertension, and gout. Both patients were empirically started on budesonide 0.5mg nebulizer twice daily, clarithromycin (Biaxin) 500mg tab twice daily for ten days, Zinc 50mg tab twice daily, and aspirin 81mg tab daily. Both patients have fully recovered with no residual effects. Conclusion: The goal is to call attention to the success of proactive, early empirical treatment, combining a classic corticosteroid (budesonide) administered via a nebulizer and an oral macrolide antibiotic known as clarithromycin (Biaxin).

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Estimating lengths-of-stay of hospitalized COVID-19 patients using a non-parametric model: a case study in Galicia (Spain)

Epidemiology and Infection ◽

10.1017/s0950268821000959 ◽

2021 ◽

pp. 1-14

Author(s):

Ana López-Cheda ◽

María-Amalia Jácome ◽

Ricardo Cao ◽

Pablo M. De Salazar

Keyword(s):

Parametric Model ◽

Lengths Of Stay ◽

Non Parametric

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