The global Continuous Renal Replacement
Therapy (CRRT) market is projected to reach US$1.5 billion by 2025, driven by the
growing incidence of acute kidney injury (AKI) and the resulting rise in
hemodynamically unstable patients. Few of the factors leading to AKI include sudden
blockage of urine due to enlarged prostrate or kidney stones; kidney toxicity
caused by medications; autoimmune kidney diseases such as acute nephritic
syndrome and interstitial nephritis; and accidental trauma or injury to the
kidneys. The aging population and the increase in the number of hospitalized elderly
are also pushing up the incidence of AKI. This is because older patients in ICU
with high blood pressure, chronic liver or heart diseases are at a high risk of
having AKI. Benefits of CRRT driving its acceptance as a standard practice for hemodynamically
unstable ICU patients include the continuousness of the therapy is physiologically
similar to a normal kidney and is therefore safe and effective; higher haemodynamic
stability; eliminates changes in fluid balance associated with traditional dialysis;
decreased risk of long-term renal injury; patients on CRRT have over 80%
reduced risk of developing chronic "end stage" renal failure; better
organ perfusion; and reduced risk of developing cardiac complications as a
result of sudden removal of a large amount of fluids as is the case with intermittent
dialysis; and better fluid balance and electrolyte concentration. Read More…
The Global Market for Big Data Technologies and Services is Projected to Reach $60 Billion by 2022
GIA launches comprehensive analysis of industry segments, trends, growth drivers, market share, size and demand forecasts on the global Big Data market. The global market for Big Data Technologies and Services is projected to reach $60 billion by 2022 , driven by soaring digital data volumes in organizations and the resulting need to turn this data into valuable insights for enhancing operational efficiency, tapping new opportunities and gaining competitive edge. Defined as a natural result of mankind’s obsession with information technology and digitalization, “Big Data” refers to extremely large sets of structured, semi-structured and unstructured data of different types, including text, audio or video, generated from diverse data sources that has the potential to be mined for required information. While data supply associated with big data ecosystem has always been large and voluminous in most organizations, the ability to use these large datasets and convert them into meaningf
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