A Genetic Approach to the Association Between PCSK9 and Sepsis. Feng QiPing et al. JAMA network open 2019 Sep (9) e1911130

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Last Posted: Sep 12, 2019

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• A Genetic Approach to the Association Between PCSK9 and Sepsis.
  Feng QiPing et al. JAMA network open 2019 Sep (9) e1911130
• What is sepsis?
  Know the Risks. Spot the Signs. Act Fast. CDC Information, 2019
• Enteric dysbiosis is associated with sepsis in patients
  Z Liu et al, FASEB journal, August 28, 2019
• An intelligent warning model for early prediction of cardiac arrest in sepsis patients.
  Layeghian Javan Samaneh et al. Computer methods and programs in biomedicine 2019 Sep 17847-58
• An identification protocol for ESBL-producing Gram-negative bacteria bloodstream infections using a MinION nanopore sequencer.
  Sakai Jun et al. Journal of medical microbiology 2019 Aug (8) 1219-1226
• A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice.
  Giannini Heather M et al. Critical care medicine 2019 Aug
• Genome-Based Epidemiological Analysis of 13 Acinetobacter Strains Isolated from Blood Cultures of Hospitalized Patients from a University Hospital in Japan.
  Oinuma Ken-Ichi et al. Japanese journal of infectious diseases 2019 Jul (4) 274-280
• Automating artificial intelligence for medical decision-making
  R Matheson, MIT News, August 6, 2019
• Novel Method of Atrial Fibrillation Case Identification and Burden Estimation Using the MIMIC-III Electronic Health Data Set.
  Ding Eric Y et al. Journal of intensive care medicine 2019 Jul 885066619866172
• Multimorbidity states associated with higher mortality rates in organ dysfunction and sepsis: a data-driven analysis in critical care.
  Zador Zsolt et al. Critical care (London, England) 2019 23(1) 247

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