About: Minimally Invasive Diagnostic Strategy in Immunocompromised Patients with Pulmonary Infiltrates

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Minimally Invasive Diagnostic Strategy in Immunocompromised Patients with Pulmonary Infiltrates
Creator	Azoulay, Élie Lemiale, Virginie Schnell, David Kouatchet, Achille Kouatchet, A Lemiale, V Camous, L De Miranda, S Schnell, D Azoulay, É Camous, Laurent De Miranda, Sandra
Source	PMC
abstract	Acute respiratory failure (ARF) is the main reason for ICU admission in patients with haematological malignancies. High mortality rates of up to 50% are reported in this situation, and mortality is highest when mechanical ventilation is needed. Rapid and accurate diagnostic methods are needed in these vulnerable patients to ensure the prompt initiation of effective treatment. However, the broad array of possible cause of ARF raises diagnostic challenges. In this review, we discuss the DIRECT strategy, which identifies the most plausible diagnosis in each patient based on the type of immune deficiency and clinical presentation. We will focus on non-invasive laboratory tests developed in recent years, discussing their sensitivity and specificity. We also discuss the usefulness in cancer patients with specific organ dysfunctions of biomarkers introduced over the past few years.
has issue date	2010-08-19(xsd:dateTime)
bibo:doi	10.1007/978-3-642-15742-4_15
has license	no-cc
sha1sum (hex)	7b7072e32c7655a3576d164399f04e4d91f2c6a6
schema:url	https://doi.org/10.1007/978-3-642-15742-4_15
resource representing a document's title	Minimally Invasive Diagnostic Strategy in Immunocompromised Patients with Pulmonary Infiltrates
has PubMed Central identifier	PMC7123161
schema:publication	Pulmonary Involvement in Patients with Hematological Malignancies
resource representing a document's body	covid:7b7072e32c7655a3576d164399f04e4d91f2c6a6#body_text
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