Acute respiratory distress syndrome screening: Difference between revisions

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Several clinical algorithms have been proposed and validated for early recognition of ARDS. No single biomarker is currently specific or sensitive enough to be incorporated into routine clinical practice.
Several clinical algorithms have been proposed and validated for early recognition of ARDS. No single biomarker is currently specific or sensitive enough to be incorporated into routine clinical practice.


Trillo-Alvarez et al. devised the Lung Injury Prediction Study (LIPS) score in an effort to identifie patients at high risk for acute lung injury before ICU admission.<ref>Trillo-Alvarez, C., R. Cartin-Ceba, D. J. Kor, M. Kojicic, R. Kashyap, S. Thakur, L. Thakur, V. Herasevich, M. Malinchoc, and O. Gajic. “Acute Lung Injury Prediction Score: Derivation and Validation in a Population-Based Sample.” European Respiratory Journal 37, no. 3 (March 1, 2011): 604–9. doi:10.1183/09031936.00036810.</ref> Covariates used in model derivation include predisposing conditions ([[trauma]], high-risk [[surgery]], [[sepsis]], [[shock]], [[pneumonia]], [[aspiration]], and [[pancreatitis]]) and risk-modifiers ([[tachypnea]], [[alcohol abuse]], [[hypoalbuminemia]], [[oxygen]] supplementation, [[chemotherapy]], [[diabetes mellitus]], and [[smoking]] history).
Trillo-Alvarez et al. devised the Lung Injury Prediction Study (LIPS) score to identifie patients at high risk for acute lung injury before ICU admission by utilizing variables that are clearly defined and routinely available in the medical record.<ref>Trillo-Alvarez, C., R. Cartin-Ceba, D. J. Kor, M. Kojicic, R. Kashyap, S. Thakur, L. Thakur, V. Herasevich, M. Malinchoc, and O. Gajic. “Acute Lung Injury Prediction Score: Derivation and Validation in a Population-Based Sample.” European Respiratory Journal 37, no. 3 (March 1, 2011): 604–9. doi:10.1183/09031936.00036810.</ref> Covariates used in model derivation include predisposing conditions ([[trauma]], high-risk [[surgery]], [[sepsis]], [[shock]], [[pneumonia]], [[aspiration]], and [[pancreatitis]]) and risk-modifiers ([[tachypnea]], [[alcohol abuse]], [[hypoalbuminemia]], [[oxygen]] supplementation, [[chemotherapy]], [[diabetes mellitus]], and [[smoking]] history).


==References==
==References==

Revision as of 20:47, 14 July 2016

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Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Brian Shaller, M.D. [2]

Overview

There are no screening tools for ARDS. The best way to make an early diagnosis of ARDS is to apply the diagnostic criteria to any patient with bilateral pulmonary infiltrates on chest x ray, and new/worsening hypoxemia with an increasing supplemental oxygen requirement in whom a potential cause or risk factor for ARDS exists.

Screening

Several clinical algorithms have been proposed and validated for early recognition of ARDS. No single biomarker is currently specific or sensitive enough to be incorporated into routine clinical practice.

Trillo-Alvarez et al. devised the Lung Injury Prediction Study (LIPS) score to identifie patients at high risk for acute lung injury before ICU admission by utilizing variables that are clearly defined and routinely available in the medical record.[1] Covariates used in model derivation include predisposing conditions (trauma, high-risk surgery, sepsis, shock, pneumonia, aspiration, and pancreatitis) and risk-modifiers (tachypnea, alcohol abuse, hypoalbuminemia, oxygen supplementation, chemotherapy, diabetes mellitus, and smoking history).

References

  1. Trillo-Alvarez, C., R. Cartin-Ceba, D. J. Kor, M. Kojicic, R. Kashyap, S. Thakur, L. Thakur, V. Herasevich, M. Malinchoc, and O. Gajic. “Acute Lung Injury Prediction Score: Derivation and Validation in a Population-Based Sample.” European Respiratory Journal 37, no. 3 (March 1, 2011): 604–9. doi:10.1183/09031936.00036810.

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