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  • Aerospace Medicine  (3)
  • bisantrene  (2)
  • (Blue - green alga)
  • (Porphyridium cruentum)
  • 2005-2009  (3)
  • 1980-1984  (2)
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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Investigational new drugs 1 (1983), S. 253-258 
    ISSN: 1573-0646
    Keywords: bisantrene ; CL216,942 ; pharmacokinetics in humans
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology , Medicine
    Notes: Summary The pharmacokinetics of bisantrene, 9,10-anthracenedicarboxaldehyde bis ((4,5-dihydro-1 H-imidazol-2-yl) hydrazone) dihydrochloride were evaluated during a Phase I clinical investigation. Bisantrene at doses of 20 to 280 mg/m2 was administered by variable infusion rates to nine patients with advanced metastatic cancer. Bisantrene's plasma clearance followed a triexponential pattern with a harmonic mean terminal half-life (t1/2 γ) of 26 h. The steady state volume of distribution (Vd ss ) was large, averaging 627 l/m2. Plasma clearance averaged 42.6±6.7 l/h/m2. The cumulative urinary excretion of bisantrene was 3.6±1.6% at 48 h.
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1573-0646
    Keywords: bisantrene ; hypersensitivity ; histamine release
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology , Medicine
    Notes: Summary Nine of ninety-three patients receiving Bisantrene on an every three week schedule developed an anaphylactoid reaction with a variety of symptoms. Most reactions occurred in patients who had multiple exposures to Bisantrene. Investigatiors utilizing Bisantrene in ongoing clinical trials should be aware of this life threatening toxicity.
    Type of Medium: Electronic Resource
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  • 3
    Publication Date: 2019-07-13
    Description: No abstract available
    Keywords: Aerospace Medicine
    Type: MODSIM World 2009 - Conference and Expo; Oct 14, 2009 - Oct 16, 2009; Virginia Beach, VA; United States
    Format: application/pdf
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  • 4
    Publication Date: 2019-07-13
    Description: The Integrated Medical Model (IMM) helps capture and use organizational knowledge across the space medicine, training, operations, engineering, and research domains. The IMM uses this domain knowledge in the context of a mission and crew profile to forecast crew health and mission success risks. The IMM is most helpful in comparing the risk of two or more mission profiles, not as a tool for predicting absolute risk. The process of building the IMM adheres to Probability Risk Assessment (PRA) techniques described in NASA Procedural Requirement (NPR) 8705.5, and uses current evidence-based information to establish a defensible position for making decisions that help ensure crew health and mission success. The IMM quantitatively describes the following input parameters: 1) medical conditions and likelihood, 2) mission duration, 3) vehicle environment, 4) crew attributes (e.g. age, sex), 5) crew activities (e.g. EVA's, Lunar excursions), 6) diagnosis and treatment protocols (e.g. medical equipment, consumables pharmaceuticals), and 7) Crew Medical Officer (CMO) training effectiveness. It is worth reiterating that the IMM uses the data sets above as inputs. Many other risk management efforts stop at determining only likelihood. The IMM is unique in that it models not only likelihood, but risk mitigations, as well as subsequent clinical outcomes based on those mitigations. Once the mathematical relationships among the above parameters are established, the IMM uses a Monte Carlo simulation technique (a random sampling of the inputs as described by their statistical distribution) to determine the probable outcomes. Because the IMM is a stochastic model (i.e. the input parameters are represented by various statistical distributions depending on the data type), when the mission is simulated 10-50,000 times with a given set of medical capabilities (risk mitigations), a prediction of the most probable outcomes can be generated. For each mission, the IMM tracks which conditions occurred and decrements the pharmaceuticals and supplies required to diagnose and treat these medical conditions. If supplies are depleted, then the medical condition goes untreated, and crew and mission risk increase. The IMM currently models approximately 30 medical conditions. By the end of FY2008, the IMM will be modeling over 100 medical conditions, approximately 60 of which have been recorded to have occurred during short and long space missions.
    Keywords: Aerospace Medicine
    Type: Human Research Program Investigators'' Workshop; Feb 04, 2008 - Feb 06, 2008; League City, TX; United States
    Format: application/pdf
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  • 5
    Publication Date: 2019-07-13
    Description: ObjectiveDevelop an evidence-based, probabilistic risk forecasting model that can help guide mission planning, requirements development, and align science with engineering technology development.
    Keywords: Aerospace Medicine
    Type: JSC-17762 , Human Research Program Investigator''s Workshop; Feb 02, 2009 - Feb 04, 2009; Texas; United States
    Format: application/pdf
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