Renal Function Affects Prognostic Role of Antiphosphatidylserine Antibodies for Acute Ischemic Stroke Patients.

08:00 EDT 12th September 2019 | BioPortfolio

Summary of "Renal Function Affects Prognostic Role of Antiphosphatidylserine Antibodies for Acute Ischemic Stroke Patients."

Whether the renal function influences the association between antiphosphatidylserine antibodies (aPS) and prognosis of ischemic stroke remains unclear. We aimed to investigate the prognostic value of aPS after ischemic stroke stratified by renal function status.


Journal Details

This article was published in the following journal.

Name: Cerebrovascular diseases (Basel, Switzerland)
ISSN: 1421-9786
Pages: 1-8


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Medical and Biotech [MESH] Definitions

Conditions in which the KIDNEYS perform below the normal level in the ability to remove wastes, concentrate URINE, and maintain ELECTROLYTE BALANCE; BLOOD PRESSURE; and CALCIUM metabolism. Renal insufficiency can be classified by the degree of kidney damage (as measured by the level of PROTEINURIA) and reduction in GLOMERULAR FILTRATION RATE. The most severe form is KIDNEY FAILURE. Renal function may deteriorate slowly (RENAL INSUFFICIENCY, CHRONIC) or precipitously (RENAL INSUFFICIENCY, ACUTE).

Conditions in which the function of KIDNEYS deteriorates suddenly in a matter of days or even hours. It is characterized by the sudden drop in GLOMERULAR FILTRATION RATE; (GMR). The most severe stage is when the GFR drops below 15 ml per min (ACUTE KIDNEY FAILURE).

B-cells that have a role in regulating the immune response including the production of CYTOKINES. This function is in addition to their traditional role in making antibodies.

A tetradecapeptide originally obtained from the skins of toads Bombina bombina and B. variegata. It is also an endogenous neurotransmitter in many animals including mammals. Bombesin affects vascular and other smooth muscle, gastric secretion, and renal circulation and function.

A class of statistical procedures for estimating the survival function (function of time, starting with a population 100% well at a given time and providing the percentage of the population still well at later times). The survival analysis is then used for making inferences about the effects of treatments, prognostic factors, exposures, and other covariates on the function.

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