Literature DB >> 20959788

Limiting ventilator-induced lung injury through individual electronic medical record surveillance.

Vitaly Herasevich1, Mykola Tsapenko, Marija Kojicic, Adil Ahmed, Rachul Kashyap, Chakradhar Venkata, Khurram Shahjehan, Sweta J Thakur, Brian W Pickering, Jiajie Zhang, Rolf D Hubmayr, Ognjen Gajic.   

Abstract

BACKGROUND: To improve the safety of ventilator care and decrease the risk of ventilator-induced lung injury, we designed and tested an electronic algorithm that incorporates patient characteristics and ventilator settings, allowing near-real-time notification of bedside providers about potentially injurious ventilator settings.
METHODS: Electronic medical records of consecutive patients who received invasive ventilation were screened in three Mayo Clinic Rochester intensive care units. The computer system alerted bedside providers via the text paging notification about potentially injurious ventilator settings. Alert criteria included a Pao2/Fio2 ratio of <300 mm Hg, free text search for the words "edema" or "bilateral + infiltrates" on the chest radiograph report, a tidal volume of >8 mL/kg predicted body weight (based on patient gender and height), a plateau pressure of >30 cm H2O, and a peak airway pressure of >35 cm H2O. Respiratory therapists answered a brief online satisfaction survey. Ventilator-induced lung injury risk was compared before and after the introduction of ventilator-induced lung injury alert.
FINDINGS: The prevalence of acute lung injury was 42% (n = 490) among 1,159 patients receiving >24 hrs of invasive ventilation. The system sent 111 alerts for 80 patients, with a positive predictive value of 59%. The exposure to potentially injurious ventilation decreased after the intervention from 40.6 ± 74.6 hrs to 26.9 ± 77.3 hrs (p = .004). INTERPRETATIONS: Electronic medical record surveillance of mechanically ventilated patients accurately detects potentially injurious ventilator settings and is able to influence bedside practice at moderate costs. Its implementation is associated with decreased patient exposure to potentially injurious mechanical ventilation settings.

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Year:  2011        PMID: 20959788     DOI: 10.1097/CCM.0b013e3181fa4184

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  34 in total

Review 1.  Did studies on HFOV fail to improve ARDS survival because they did not decrease VILI? On the potential validity of a physiological concept enounced several decades ago.

Authors:  Didier Dreyfuss; Jean-Damien Ricard; Stéphane Gaudry
Journal:  Intensive Care Med       Date:  2015-10-05       Impact factor: 17.440

Review 2.  Diagnostic performance of electronic syndromic surveillance systems in acute care: a systematic review.

Authors:  M Kashiouris; J C O'Horo; B W Pickering; V Herasevich
Journal:  Appl Clin Inform       Date:  2013-05-08       Impact factor: 2.342

Review 3.  Tidal volume and plateau pressure use for acute lung injury from 2000 to present: a systematic literature review.

Authors:  Dharmvir S Jaswal; Janice M Leung; Junfeng Sun; Xizhong Cui; Yan Li; Steven Kern; Judith Welsh; Charles Natanson; Peter Q Eichacker
Journal:  Crit Care Med       Date:  2014-10       Impact factor: 7.598

4.  Patient information organization in the intensive care setting: expert knowledge elicitation with card sorting methods.

Authors:  Thomas Reese; Noa Segall; Paige Nesbitt; Guilherme Del Fiol; Rosalie Waller; Brekk C Macpherson; Joseph E Tonna; Melanie C Wright
Journal:  J Am Med Inform Assoc       Date:  2018-08-01       Impact factor: 4.497

5.  The Nature and Variability of Automated Practice Alerts Derived from Electronic Health Records in a U.S. Nationwide Critical Care Research Network.

Authors:  Cody Benthin; Sonal Pannu; Akram Khan; Michelle Gong
Journal:  Ann Am Thorac Soc       Date:  2016-10

6.  Toward Designing Information Display to Support Critical Care. A Qualitative Contextual Evaluation and Visioning Effort.

Authors:  Melanie C Wright; Sherry Dunbar; Brekk C Macpherson; Eugene W Moretti; Guillherme Del Fiol; Jean Bolte; Jeffrey M Taekman; Noa Segall
Journal:  Appl Clin Inform       Date:  2016-10-05       Impact factor: 2.342

7.  Electronic health record surveillance algorithms facilitate the detection of transfusion-related pulmonary complications.

Authors:  Leanne Clifford; Amandeep Singh; Gregory A Wilson; Pearl Toy; Ognjen Gajic; Michael Malinchoc; Vitaly Herasevich; Jyotishman Pathak; Daryl J Kor
Journal:  Transfusion       Date:  2012-08-31       Impact factor: 3.157

8.  Risk factors for underuse of lung-protective ventilation in acute lung injury.

Authors:  Allan J Walkey; Renda Soylemez Wiener
Journal:  J Crit Care       Date:  2011-08-19       Impact factor: 3.425

Review 9.  Connecting the dots: rule-based decision support systems in the modern EMR era.

Authors:  Vitaly Herasevich; Daryl J Kor; Arun Subramanian; Brian W Pickering
Journal:  J Clin Monit Comput       Date:  2013-02-28       Impact factor: 2.502

10.  Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards.

Authors:  Matthew M Churpek; Trevor C Yuen; Christopher Winslow; David O Meltzer; Michael W Kattan; Dana P Edelson
Journal:  Crit Care Med       Date:  2016-02       Impact factor: 7.598

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