scholarly journals Decision Support Tool for Early Differential Diagnosis of Acute Lung Injury and Cardiogenic Pulmonary Edema in Medical Critically Ill Patients

CHEST Journal ◽  
2012 ◽  
Vol 141 (1) ◽  
pp. 43-50 ◽  
Author(s):  
Christopher N. Schmickl ◽  
Khurram Shahjehan ◽  
Guangxi Li ◽  
Rajanigandha Dhokarh ◽  
Rahul Kashyap ◽  
...  
Transfusion ◽  
2006 ◽  
Vol 46 (9) ◽  
pp. 1478-1483 ◽  
Author(s):  
Rimki Rana ◽  
Evans R. Fernandez-Perez ◽  
S. Anjum Khan ◽  
Sameer Rana ◽  
Jeffrey L. Winters ◽  
...  

2017 ◽  
Vol 2 (2) ◽  
pp. 1-12 ◽  
Author(s):  
Ruxana T. Sadikot ◽  
Arun V. Kolanjiyil ◽  
Clement Kleinstreuer ◽  
Israel Rubinstein

Acute lung injury and acute respiratory distress syndrome (ARDS) represent a heterogenous group of lung disease in critically ill patients that continues to have high mortality. Despite the increased understanding of the molecular pathogenesis of ARDS, specific targeted treatments for ARDS have yet to be developed. ARDS represents an unmet medical need with an urgency to develop effective pharmacotherapies. Multiple promising targets have been identified that could lead to the development of potential therapies for ARDS; however, they have been limited because of difficulty with the mode of delivery, especially in critically ill patients. Nanobiotechnology is the basis of innovative techniques to deliver drugs targeted to the site of inflamed organs, such as the lungs. Nanoscale drug delivery systems have the ability to improve the pharmacokinetics and pharmacodynamics of agents, allowing an increase in the biodistribution of therapeutic agents to target organs and resulting in improved efficacy with reduction in drug toxicity. Although attractive, delivering nanomedicine to lungs can be challenging as it requires sophisticated systems. Here we review the potential of novel nanomedicine approaches that may prove to be therapeutically beneficial for the treatment of this devastating condition.


2006 ◽  
Vol 34 (7) ◽  
pp. 1941-1946 ◽  
Author(s):  
Rimki Rana ◽  
Nicholas E. Vlahakis ◽  
Craig E. Daniels ◽  
Allan S. Jaffe ◽  
George G. Klee ◽  
...  

2012 ◽  
Vol 4 (2) ◽  
pp. 227-231 ◽  
Author(s):  
Mitchell J. Feldman ◽  
Edward P. Hoffer ◽  
G. Octo Barnett ◽  
Richard J. Kim ◽  
Kathleen T. Famiglietti ◽  
...  

Abstract Background Computer-based medical diagnostic decision support systems have been used for decades, initially as stand-alone applications. More recent versions have been tested for their effectiveness in enhancing the diagnostic ability of clinicians. Objective To determine if viewing a rank-ordered list of diagnostic possibilities from a medical diagnostic decision support system improves residents' differential diagnoses or management plans. Method Twenty first-year internal medicine residents at Massachusetts General Hospital viewed 3 deidentified case descriptions of real patients. All residents completed a web-based questionnaire, entering the differential diagnosis and management plan before and after seeing the diagnostic decision support system's suggested list of diseases. In all 3 exercises, the actual case diagnosis was first on the system's list. Each resident served as his or her own control (pretest/posttest). Results For all 3 cases, a substantial percentage of residents changed their primary considered diagnosis after reviewing the system's suggested diagnoses, and a number of residents who had not initially listed a “further action” (laboratory test, imaging study, or referral) added or changed their management options after using the system. Many residents (20% to 65% depending on the case) improved their differential diagnosis from before to after viewing the system's suggestions. The average time to complete all 3 cases was 15.4 minutes. Most residents thought that viewing the medical diagnostic decision support system's list of suggestions was helpful. Conclusion Viewing a rank-ordered list of diagnostic possibilities from a diagnostic decision support tool had a significant beneficial effect on the quality of first-year medicine residents' differential diagnoses and management plans.


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