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1.
Cureus ; 12(8): e10086, 2020 Aug 27.
Artigo em Inglês | MEDLINE | ID: mdl-33005509

RESUMO

Hypertension is a global public health challenge and a major cause of morbidity and mortality. Alcohol is one of the most frequently abused substances around the world. The financial implications of treating hypertension are also significant. Developing successful strategies to prevent hypertension may be as important, if not more important, than managing the disease once it arises. In this review we assess the relationship between alcohol use and hypertension development. We have searched the available literature using the PubMed database and identified studies that discussed the relationship between alcohol use and either primary or any of the common causes of secondary hypertension. We found that heavy alcohol use was almost invariably associated with increased risk of developing primary hypertension, regardless of the age or gender of the participants. The relationship between low or moderate alcohol use and hypertension is less clear and some evidence even points towards possible protective effects. The pathophysiology behind the association is incompletely understood and a number of mechanisms have been proposed. Heavy alcohol use also increases the risk of insulin resistance and obstructive sleep apnea, known causes of secondary hypertension. It has also been linked to a state of hypercortisolism, sometimes called pseudo-Cushing state. Moderate alcohol consumption may be protective against diabetes and hyperthyroidism associated with Graves' disease. Overall, public health efforts should address the issue of heavy alcohol use. There does not appear to be enough evidence to recommend abstinence to those consuming low amounts of alcohol with the aim of protecting against hypertension. We believe that the current understanding of the issue is insufficient and that more both basic science and clinical research needs to be done.

2.
Cureus ; 12(8): e9621, 2020 Aug 09.
Artigo em Inglês | MEDLINE | ID: mdl-32923222

RESUMO

The Waterhouse-Friderichsen syndrome is an entity consisting of shock, petechial rash and haemorrhages in both adrenal glands leading to adrenal failure. This syndrome is usually secondary to meningococcal septicaemia, but there are many documented cases caused by other bacteria. Purpura is an essential part of the syndrome, but it is not always there. In the current study, a case of Waterhouse-Friderichsen syndrome without purpura in an elderly patient with Haemophilus influenzae bacteraemia has been described. This patient was being managed for sepsis due to pneumonia and an incidental finding of bilateral adrenal haemorrhage was made on a CT of the thorax which was meant to evaluate empyema. This case shows the need to suspect bilateral adrenal haemorrhage in every patient with septic shock.

3.
Cureus ; 12(6): e8923, 2020 Jun 30.
Artigo em Inglês | MEDLINE | ID: mdl-32760624

RESUMO

Artificial Intelligence (AI) has taken radiology by storm, in particular, mammogram interpretation, and we have seen a recent surge in the number of publications on potential uses of AI in breast radiology. Breast cancer exerts a lot of burden on the National Health Service (NHS) and is the second most common cancer in the UK as of 2018. New cases of breast cancer have been on the rise in the past decade, while the survival rate has been improving. The NHS breast cancer screening program led to an improvement in survival rate. The expansion of the screening program led to more mammograms, thereby putting more work on the hands of radiologists, and the issue of double reading further worsens the workload. The introduction of computer-aided detection (CAD) systems to help radiologists was found not to have the expected outcome of improving the performance of readers. Unreliability of CAD systems has led to the explosion of studies and development of applications with the potential use in breast imaging. The purported success recorded with the use of machine learning in breast radiology has led to people postulating ideas that AI will replace breast radiologists. Of course, AI has many applications and potential uses in radiology, but will it replace radiologists? We reviewed many articles on the use of AI in breast radiology to give future radiologists and radiologists full information on this topic. This article focuses on explaining the basic principles and terminology of AI in radiology, potential uses, and limitations of AI in radiology. We have also analysed articles and answered the question of whether AI will replace radiologists.

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