Literature DB >> 27513358

Lung Injury Prediction Score in Hospitalized Patients at Risk of Acute Respiratory Distress Syndrome.

Graciela J Soto1, Daryl J Kor, Pauline K Park, Peter C Hou, David A Kaufman, Mimi Kim, Hemang Yadav, Nicholas Teman, Michael C Hsu, Tatyana Shvilkina, Yekaterina Grewal, Manuel De Aguirre, Sampath Gunda, Ognjen Gajic, Michelle Ng Gong.   

Abstract

OBJECTIVE: The Lung Injury Prediction Score identifies patients at risk for acute respiratory distress syndrome in the emergency department, but it has not been validated in non-emergency department hospitalized patients. We aimed to evaluate whether Lung Injury Prediction Score identifies non-emergency department hospitalized patients at risk of developing acute respiratory distress syndrome at the time of critical care contact.
DESIGN: Retrospective study.
SETTING: Five academic medical centers. PATIENTS: Nine hundred consecutive patients (≥ 18 yr old) with at least one acute respiratory distress syndrome risk factor at the time of critical care contact.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: Lung Injury Prediction Score was calculated using the worst values within the 12 hours before initial critical care contact. Patients with acute respiratory distress syndrome at the time of initial contact were excluded. Acute respiratory distress syndrome developed in 124 patients (13.7%) a median of 2 days (interquartile range, 2-3) after critical care contact. Hospital mortality was 22% and was significantly higher in acute respiratory distress syndrome than non-acute respiratory distress syndrome patients (48% vs 18%; p < 0.001). Increasing Lung Injury Prediction Score was significantly associated with development of acute respiratory distress syndrome (odds ratio, 1.31; 95% CI, 1.21-1.42) and the composite outcome of acute respiratory distress syndrome or death (odds ratio, 1.26; 95% CI, 1.18-1.34). A Lung Injury Prediction Score greater than or equal to 4 was associated with the development of acute respiratory distress syndrome (odds ratio, 4.17; 95% CI, 2.26-7.72), composite outcome of acute respiratory distress syndrome or death (odds ratio, 2.43; 95% CI, 1.68-3.49), and acute respiratory distress syndrome after accounting for the competing risk of death (hazard ratio, 3.71; 95% CI, 2.05-6.72). For acute respiratory distress syndrome development, the Lung Injury Prediction Score has an area under the receiver operating characteristic curve of 0.70 and a Lung Injury Prediction Score greater than or equal to 4 has 90% sensitivity (misses only 10% of acute respiratory distress syndrome cases), 31% specificity, 17% positive predictive value, and 95% negative predictive value.
CONCLUSIONS: In a cohort of non-emergency department hospitalized patients, the Lung Injury Prediction Score and Lung Injury Prediction Score greater than or equal to 4 can identify patients at increased risk of acute respiratory distress syndrome and/or death at the time of critical care contact but it does not perform as well as in the original emergency department cohort.

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Year:  2016        PMID: 27513358      PMCID: PMC5431079          DOI: 10.1097/CCM.0000000000002001

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


  23 in total

1.  Early identification of patients at risk of acute lung injury: evaluation of lung injury prediction score in a multicenter cohort study.

Authors:  Ognjen Gajic; Ousama Dabbagh; Pauline K Park; Adebola Adesanya; Steven Y Chang; Peter Hou; Harry Anderson; J Jason Hoth; Mark E Mikkelsen; Nina T Gentile; Michelle N Gong; Daniel Talmor; Ednan Bajwa; Timothy R Watkins; Emir Festic; Murat Yilmaz; Remzi Iscimen; David A Kaufman; Annette M Esper; Ruxana Sadikot; Ivor Douglas; Jonathan Sevransky; Michael Malinchoc
Journal:  Am J Respir Crit Care Med       Date:  2010-08-27       Impact factor: 21.405

2.  Acute lung injury prediction score: derivation and validation in a population-based sample.

Authors:  C Trillo-Alvarez; R Cartin-Ceba; D J Kor; M Kojicic; R Kashyap; S Thakur; L Thakur; V Herasevich; M Malinchoc; O Gajic
Journal:  Eur Respir J       Date:  2010-06-18       Impact factor: 16.671

3.  Infectious Diseases Society of America/American Thoracic Society consensus guidelines on the management of community-acquired pneumonia in adults.

Authors:  Lionel A Mandell; Richard G Wunderink; Antonio Anzueto; John G Bartlett; G Douglas Campbell; Nathan C Dean; Scott F Dowell; Thomas M File; Daniel M Musher; Michael S Niederman; Antonio Torres; Cynthia G Whitney
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5.  Prone positioning in severe acute respiratory distress syndrome.

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6.  Eight-year trend of acute respiratory distress syndrome: a population-based study in Olmsted County, Minnesota.

Authors:  Guangxi Li; Michael Malinchoc; Rodrigo Cartin-Ceba; Chakradhar V Venkata; Daryl J Kor; Steve G Peters; Rolf D Hubmayr; Ognjen Gajic
Journal:  Am J Respir Crit Care Med       Date:  2010-08-06       Impact factor: 21.405

7.  Do hospitals provide lower quality of care to black patients for pneumonia?

Authors:  Florian B Mayr; Sachin Yende; Gina D'Angelo; Amber E Barnato; John A Kellum; Lisa Weissfeld; Donald M Yealy; Michael C Reade; Eric B Milbrandt; Derek C Angus
Journal:  Crit Care Med       Date:  2010-03       Impact factor: 7.598

8.  Sepsis incidence and outcome: contrasting the intensive care unit with the hospital ward.

Authors:  Andrés Esteban; Fernando Frutos-Vivar; Niall D Ferguson; Oscar Peñuelas; José Angel Lorente; Federico Gordo; Teresa Honrubia; Alejandro Algora; Alejandra Bustos; Gema García; Inmaculada Rodríguez Diaz-Regañón; Rafael Ruiz de Luna
Journal:  Crit Care Med       Date:  2007-05       Impact factor: 7.598

9.  Acute respiratory distress syndrome: the Berlin Definition.

Authors:  V Marco Ranieri; Gordon D Rubenfeld; B Taylor Thompson; Niall D Ferguson; Ellen Caldwell; Eddy Fan; Luigi Camporota; Arthur S Slutsky
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10.  Towards prevention of acute lung injury: frequency and outcomes of emergency department patients at-risk - a multicenter cohort study.

Authors:  Peter C Hou; Marie-Carmelle Elie-Turenne; Aya Mitani; Jonathan M Barry; Erica Y Kao; Jason E Cohen; Gyorgy Frendl; Ognjen Gajic; Nina T Gentile
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  11 in total

1.  The authors reply.

Authors:  Graciela J Soto; Daryl J Kor; Pauline K Park; Peter C Hou; David A Kaufman; Mimi Kim; Hemang Yadav; Nicholas Teman; Michael Hsu; Tatyana Shvilkina; Yekaterina Grewal; Manuel De Aguirre; Sampath Gunda; Ognjen Gajic; Michelle Ng Gong
Journal:  Crit Care Med       Date:  2017-06       Impact factor: 7.598

2.  The Association between Prehospital Vulnerability, ARDS Development, and Mortality among At-Risk Adults. Results from the LIPS-A Clinical Trial.

Authors:  Aluko A Hope; Jen-Ting Chen; David A Kaufman; Daniel S Talmor; Daryl J Kor; Ognjen Gajic; Michelle N Gong
Journal:  Ann Am Thorac Soc       Date:  2019-11

3.  Multitask Learning With Recurrent Neural Networks for Acute Respiratory Distress Syndrome Prediction Using Only Electronic Health Record Data: Model Development and Validation Study.

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Review 4.  Evolution of Acute Respiratory Distress Syndrome in Emergency and Critical Care: Therapeutic Management before and during the Pandemic Situation.

Authors:  Monserrat E Granados-Bolivar; Miguel Quesada-Caballero; Nora Suleiman-Martos; José L Romero-Béjar; Luis Albendín-García; Guillermo A Cañadas-De la Fuente; Alberto Caballero-Vázquez
Journal:  Medicina (Kaunas)       Date:  2022-05-28       Impact factor: 2.948

5.  Machine learning for patient risk stratification for acute respiratory distress syndrome.

Authors:  Daniel Zeiberg; Tejas Prahlad; Brahmajee K Nallamothu; Theodore J Iwashyna; Jenna Wiens; Michael W Sjoding
Journal:  PLoS One       Date:  2019-03-28       Impact factor: 3.240

6.  Rationale and design of a prospective, multicentre, randomised, conventional treatment-controlled, parallel-group trial to evaluate the efficacy and safety of ulinastatin in preventing acute respiratory distress syndrome in high-risk patients.

Authors:  Zongyu Wang; Liyuan Tao; Yingying Yan; Xi Zhu
Journal:  BMJ Open       Date:  2019-03-07       Impact factor: 2.692

7.  COVID-19-associated Acute Respiratory Distress Syndrome Clarified: A Vascular Endotype?

Authors:  Nilam S Mangalmurti; John P Reilly; Douglas B Cines; Nuala J Meyer; Christopher A Hunter; Andrew E Vaughan
Journal:  Am J Respir Crit Care Med       Date:  2020-09-01       Impact factor: 21.405

8.  A modified acute respiratory distress syndrome prediction score: a multicenter cohort study in China.

Authors:  Jianfeng Xie; Ling Liu; Yi Yang; Wenkui Yu; Maoqin Li; Kaijiang Yu; Ruiqiang Zheng; Jie Yan; Xue Wang; Guolong Cai; Jianguo Li; Qin Gu; Hongsheng Zhao; Xinwei Mu; Xiaochun Ma; Haibo Qiu
Journal:  J Thorac Dis       Date:  2018-10       Impact factor: 2.895

9.  Use of pressure-regulated volume control in the first 48 hours of hospitalization of mechanically ventilated patients with sepsis or septic shock, with or without ARDS.

Authors:  Yuri Matusov; Jing Li; Dominique Resuello; Hannah Mathers; Jeffrey C Fried
Journal:  J Intensive Care Soc       Date:  2019-10-21

10.  Whole blood microRNA markers are associated with acute respiratory distress syndrome.

Authors:  Zhaozhong Zhu; Liming Liang; Ruyang Zhang; Yongyue Wei; Li Su; Paula Tejera; Yichen Guo; Zhaoxi Wang; Quan Lu; Andrea A Baccarelli; Xi Zhu; Ednan K Bajwa; B Taylor Thompson; Guo-Ping Shi; David C Christiani
Journal:  Intensive Care Med Exp       Date:  2017-08-30
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