Joan accompanies her husband Dan to the clinic and reports to the nu.pdf

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Joan accompanies her husband Dan to the clinic and reports to the nurse that Dans snoring seems to be getting worse over the past year. She has resorted to sleeping in a nearby bedroom with earplugs. Dan states that when he wakes up he doesnt feel that rested, although he does refer to himself as a good sleeper and states he is able to fall asleep easily. Dan undergoes a sleep study and is diagnosed with obstructive sleep apnea. Think about which clinical model discussed in this chapter is most related to this process. From your reading and experience regarding obstructed ventilation, answer the following questions: What process is most likely occurring in this mans body? What are the probable ventilation and diffusion effects from obstructive sleep apnea? What would you expect for clinical manifestations? What diagnostic tests could be used? What treatment measures would you anticipate?.

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Case Study Jane Doe, a 49-year-old female, with a history of heavy tobacco use, has been suffering from a respiratory viral infection over the last few weeks and her roommate reports that she has been using her nebulizers quite heavily. Despite this, Jane also has continued to smoke quite heavily. The patient's roommate said that the patient was in her room and called out to her - when she went in to check on her, Jane was coughing, looked pale and cyanosed (lips were bluish), and breathless. The roommate immediately contacted EMS. Upon arrival, the paramedics noticed that Joe had bronchospasm with profound difficulty with air entry, wheezing, rapid and labored breathing and tachycardia. She was taken to the ER, admitted and treated with bronchodilators and steroids and eventually recovered. Based on the above information: 1. What is/are the possible diagnosis in this case? 2. What could have possibly precipitated the condition? 3. What is the pathophysiology of this condition? 4. What possible acid-base imbalance could you expect in this condition? 5. How would the pulmonary function tests look like in this condition?.

Case Study Jane Doe a 49yearold female with a history of.pdf

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WHAT IS PROBABILITY? Insight into the use of probability in the medical community: Probability is a recurring theme in medical practice. No doctor who returns home from a busy day at the hospital is spared the nagging feeling that some of his diagnoses may turn out to be wrong, or some of his treatments may not lead to the expected cure. Encountering the unexpected is an occupational hazard in clinical practice. Doctors after some experience in their profession reconcile to the fact that diagnosis and prognosis always have varying degrees of uncertainty and at best can be stated as probable in a particular case. Critical appraisal of medical journals also leads to the same gut feeling. One is bombarded with new research results, but experience dictates that well-established facts of today may be refuted in some other scientific publication in the following weeks or months. When a practicing clinician reads that some new treatment is superior to the conventional one, he will assess the evidence critically, and at best he will conclude that probably it is true. Types of probabilities Suppose that we want to determine the probability of obtaining an ace from a pack of cards (which, let us assume has been tampered with by a dishonest gambler), we proceed by drawing a card from the pack a large number of times, as we know in the long run, the observed frequency will approach the true probability. Since there are 4 aces in a 52 card deck, the real probably of drawing an ace on a single draw would be ¼ or 7.69%. Mathematicians often state that a probability is a long-run frequency. Consider the statement, “The cure for Alzheimer’s disease will probably be discovered in the coming decade.” This statement does not indicate the basis of this expectation or belief. However, it may be based on the present state of research in Alzheimer’s. A probabilistic statement incorporates some amount of uncertainty, which may be quantified as follows: A politician may state that there is a fifty-fifty chance of winning the next election. Consider a 26-year-old married female patient who suffered from severe abdominal pain is referred to a hospital. She is also having amenorrhea for the past 4 months. The pain is located in the left lower abdomen. The gynecologist who examines her concludes that there is a 30% probability that the patient is suffering from ectopic pregnancy. If you were to ask the gynecologist to explain on what basis the diagnosis of ectopic pregnancy is suspected, the Dr. might state that he/she has studied a large number of successive patients with this symptom complex of lower abdominal pain with amenorrhea, and that a subsequent laparotomy revealed an ectopic pregnancy in 30% of the cases. If we accept that the study cited is large enough to make us assume that the possibility of the observed frequency of ectopic pregnancy, it is natural to conclude that the gynecologist’s probability claim is ‘evidence based’. Medical False Positives a.

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Judge Mark Griffiths finds that Moodle is a relentless and predatory monopolist. Judge Griffiths says that: Moodle established and maintained the Blackboard monopoly by using the "applications barrier to entry," which gives Moodle enduring monopoly power. Moodle harnesses independent software vendors to create products that take advantage of new application program interfaces (APIs) built into each release of Blackboard. Gives PC makers no choice but to install Blackboard, at whatever price Moodle decrees. Moodle maintains that it has sought only to innovate, serve customers, and protect its intellectual property. Moodle says that it is not a monopoly because: It competes with itself by continually releasing "new and improved" versions of Blackboard. Technological change will ensure that any dominance it enjoys is fragile. Already, "middleware" (applications like RealNetworks) have their own APIs, which new and existing applications might hook on to liberating software developers from the operating system beneath and weakening the applications barrier to entry. a. Do you think the Court is correct in finding Moodle a monopoly? Explain. b. Do you think Moodles counterclaim is correct? Explain c. Explain what is meant by collusion and when it is most likely to occur in an industry. d. Assuming Moodle is a monopoly, describe the strategy that the company can implement to increase revenue. e. Describe one advantage and one disadvantage of the strategy listed in part (d) above.

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