Literature DB >> 21096039

Heuristics to determine ventilation times of ICU patients from the MIMIC-II database.

Hanqing Cao1, K P Lee, Colleen M Ennett, Larry Eshelman, Larry Nielsen, Mohammed Saeed, Brian Gross.   

Abstract

Mechanical ventilation is an important life support tool for patients in intensive care units (ICU). For various research purposes related to patient hemodynamic and cardiopulmonary monitoring, it is important to know when a patient is on a ventilator. Unfortunately, the widely used MIMIC-II database contains results from user charted data, where the user did not always store ventilation on and off times explicitly and accurately. The resulting ventilation-related data are subject to error. Therefore, there are no simple rules to define ventilation times retrospectively for this dataset. Hence, we designed a simple set of rules to determine the ventilation times using multiple sources of mechanical ventilator-related settings and physiological measurements by expert heuristics. The rules worked well in comparison with nursing notes regarding ventilation events. We conclude that our rule sets for determining ventilation times may be useful in assisting with MIMIC-II database analysis.

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Year:  2010        PMID: 21096039     DOI: 10.1109/IEMBS.2010.5626286

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  6 in total

1.  N-gram support vector machines for scalable procedure and diagnosis classification, with applications to clinical free text data from the intensive care unit.

Authors:  Ben J Marafino; Jason M Davies; Naomi S Bardach; Mitzi L Dean; R Adams Dudley
Journal:  J Am Med Inform Assoc       Date:  2014-04-30       Impact factor: 4.497

2.  Validation of an Automatic Tagging System for Identifying Respiratory and Hemodynamic Deterioration Events in the Intensive Care Unit.

Authors:  Danielle Jeddah; Ofer Chen; Ari M Lipsky; Andrea Forgacs; Gershon Celniker; Craig M Lilly; Itai M Pessach
Journal:  Healthc Inform Res       Date:  2021-07-31

3.  A Novel Method to Improve the Identification of Time of Intubation for Retrospective EHR Data Analysis During a Time of Resource Strain, the COVID-19 Pandemic.

Authors:  Alexander Makhnevich; Amir Gandomi; Yiduo Wu; Michael Qiu; Daniel Jafari; Daniel Rolston; Adey Tsegaye; Negin Hajizadeh
Journal:  Am J Med Qual       Date:  2022-03-11       Impact factor: 1.200

4.  Respiratory support status from EHR data for adult population: classification, heuristics, and usage in predictive modeling.

Authors:  Sean C Yu; Mackenzie R Hofford; Albert M Lai; Marin H Kollef; Philip R O Payne; Andrew P Michelson
Journal:  J Am Med Inform Assoc       Date:  2022-04-13       Impact factor: 7.942

Review 5.  Timing errors and temporal uncertainty in clinical databases-A narrative review.

Authors:  Andrew J Goodwin; Danny Eytan; William Dixon; Sebastian D Goodfellow; Zakary Doherty; Robert W Greer; Alistair McEwan; Mark Tracy; Peter C Laussen; Azadeh Assadi; Mjaye Mazwi
Journal:  Front Digit Health       Date:  2022-08-18

6.  Effect of spontaneous breathing on ventilator-free days in critically ill patients-an analysis of patients in a large observational cohort.

Authors:  Aline Mela Dos Reis; Thais Dias Midega; Rodrigo Octavio Deliberato; Alistair Ew Johnson; Lucas Bulgarelli; Thiago Domingos Correa; Leo Anthony Celi; Paolo Pelosi; Marcelo Gama De Abreu; Marcus J Schultz; Ary Serpa Neto
Journal:  Ann Transl Med       Date:  2021-05
  6 in total

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