Rev Pneumol Clin
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The determination of the clinical pretest probability using clinical prediction models is an important step in the assessment of patients with suspected pulmonary embolism (PE). It helps establish which test or sequence of tests can effectively corroborate or safely rule out PE. For example, it has been demonstrated that it is safe to withhold anticoagulant therapy in patients with negative d-dimer results and low pretest probability at initial presentation. ⋯ The models classify patients as having a low, moderate, or high likelihood of having PE. Clinical prediction models have been validated and are well established for the diagnosis of PE in symptomatic patients. They allow all physicians, whatever their expertise, to reliably determine the clinical pretest probability of PE, and thus safely manage their patients using diagnostic and therapeutic algorithms.
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Review Case Reports Comparative Study
[Bronchial carcinoma and intensive care].
Lung cancer is a disease with a poor prognosis. Therapeutic innovations in oncology and the optimisation of intensive care patient management have improved the prognosis of lung cancer presenting with acute life-threatening respiratory or cardiac emergencies. ⋯ Consideration of the acute event is important when deciding whether to hospitalise a patient with lung cancer in intensive care. An early admission, if indicated, is desirable. The course in the first 72hours provides a good estimation of the patient's prognosis and helps to achieve better treatment.
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Plastic bronchitis (PB) is a rare disease, characterized by the formation of obstructive branching airways tracheobronchial casts. Commonly, PB often complicates the course of cardiac or respiratory disorders. The occurrence of PB before manifestation of the underlying respiratory disease is unusual. ⋯ After bronchoscopic removal of the casts, the boy became asymptomatic. Initial aetiological investigations were negative. Two years later, the patient developed an asthma.