Pulmonary embolism occurring in up to 3 in every 1,000 births is a major cause of death.
One of the pulmonary arteries in your lungs can get blocked, causing a pulmonary embolism. The majority of the time, blood clots from deep leg veins or, rarely, veins in other parts of the body that go to the lungs cause pulmonary embolism (deep vein thrombosis).
Pulmonary embolism, which occurs when blood clots obstruct the flow of blood to the lungs, can be fatal. But the danger of dying is significantly decreased with quick treatment. By taking precautions to avoid leg blood clots, you can lessen your risk of developing pulmonary embolism.
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Answer:
d.body mass index
Explanation:
because greg is calculate his height and weight
I love statistics So I will use The principles of it
![\begin{cases}\\ \dag \: \underline{\Large\bf Formulas\:of\:Statistics} \\ \\ \bigstar \: \underline{\rm Mean:} \\ \\ \bullet\sf M=\dfrac {\Sigma x}{n} \\ \bullet\sf M=a+\dfrac {\Sigma fy}{\Sigma f} \\ \\ \bullet\sf M=A +\dfrac {\Sigma fy^i}{\Sigma f}\times c \\ \\ \bigstar \: \underline{\rm Median :} \\ \\ \bullet\sf M_d=\dfrac {n+1}{2} \:\left[\because n\:is\:odd\:number\right] \\ \bullet\sf M_d=\dfrac {1}{2}\left (\dfrac {n}{2}+\dfrac {n}{2}+1\right)\:\left[\because n\:is\:even\:number\right] \\ \\ \bullet\sf M_d=l+\dfrac {m-c}{f}\times i \\ \\ \bigstar \: {\boxed{\sf M_0=3M_d-2M}}\end {cases}](https://tex.z-dn.net/?f=%20%5Cbegin%7Bcases%7D%5C%5C%20%20%5Cdag%20%5C%3A%20%5Cunderline%7B%5CLarge%5Cbf%20Formulas%5C%3Aof%5C%3AStatistics%7D%20%5C%5C%20%5C%5C%20%5Cbigstar%20%5C%3A%20%5Cunderline%7B%5Crm%20Mean%3A%7D%20%5C%5C%20%5C%5C%20%5Cbullet%5Csf%20M%3D%5Cdfrac%20%7B%5CSigma%20x%7D%7Bn%7D%20%5C%5C%20%5Cbullet%5Csf%20M%3Da%2B%5Cdfrac%20%7B%5CSigma%20fy%7D%7B%5CSigma%20f%7D%20%5C%5C%20%5C%5C%20%5Cbullet%5Csf%20M%3DA%20%2B%5Cdfrac%20%7B%5CSigma%20fy%5Ei%7D%7B%5CSigma%20f%7D%5Ctimes%20c%20%5C%5C%20%5C%5C%20%5Cbigstar%20%5C%3A%20%5Cunderline%7B%5Crm%20Median%20%3A%7D%20%5C%5C%20%5C%5C%20%5Cbullet%5Csf%20M_d%3D%5Cdfrac%20%7Bn%2B1%7D%7B2%7D%20%5C%3A%5Cleft%5B%5Cbecause%20n%5C%3Ais%5C%3Aodd%5C%3Anumber%5Cright%5D%20%5C%5C%20%5Cbullet%5Csf%20M_d%3D%5Cdfrac%20%7B1%7D%7B2%7D%5Cleft%20%28%5Cdfrac%20%7Bn%7D%7B2%7D%2B%5Cdfrac%20%7Bn%7D%7B2%7D%2B1%5Cright%29%5C%3A%5Cleft%5B%5Cbecause%20n%5C%3Ais%5C%3Aeven%5C%3Anumber%5Cright%5D%20%5C%5C%20%5C%5C%20%5Cbullet%5Csf%20M_d%3Dl%2B%5Cdfrac%20%7Bm-c%7D%7Bf%7D%5Ctimes%20i%20%5C%5C%20%5C%5C%20%5Cbigstar%20%5C%3A%20%7B%5Cboxed%7B%5Csf%20M_0%3D3M_d-2M%7D%7D%5Cend%20%7Bcases%7D)
Answer:
Loop of Henle lenght
Explanation:
Juxtamedullary nephrons have a longer loop of Henle that cortical nephrons and as we know this loop has a great function reabsorving water, the longer it is more water is reabsorved. The descending portion of the loop is permeable to ions but not to water so this portion reaborves a great quantity of water. Then in the ascending loop is the opposite, it is permeable to water but not to ions. The ions reabsorved in the ascending loop (20-25% of the Na+) are responsable of the water reabsorved in the descending loop. The longer the loop is more water and ions are reabsorved.
Answer:
No, laboratory information should be complemented with data related to the disease (e.g., symptoms of the viral disease) and patient' history (i.e., risk of exposure or close contact who were diagnosed with the disease)
Explanation:
In the last years, laboratory diagnosis of viral diseases has greatly improved and current methods (e.g., RT-PCR) have often a high sensitivity, thereby patients with this type of disease usually are accurately diagnosed clinically. However, there exist certain diseases where this information may not be conclusive. In these cases, it is imperative to use different sources of information to complement decision-making. For example, when laboratory diagnosis is not conclusive, the information provided by clinical symptoms of the disease in patients with severe acute respiratory syndromes (e.g., congestion and cough with or without fever in the first few days) can be very useful in order to determine if the infection is of viral origin or caused by bacterial types of pneumonia. Moreover, epidemiological data related to the recent life history of the patient (i.e., recent travel or residence in an area with viral transmission) can also be used for effective decision making.