Indwelling arterial catheter clinical data from the MIMIC II database

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This dataset was used in the book: Secondary Analysis of Electronic Health Records, published by Springer in 2016. In particular, the dataset was used throughout Chapter 5 (Data Analysis) by Raffa J. et al. to investigate the effectiveness of indwelling arterial catheters in hemodynamically stable patients with respiratory failure for mortality outcomes. This dataset contains clinical data for 1,776 patients from the Multi Parameter Intelligent Monitoring of Intensive Care (MIMIC-II) database, and was the basis for the article:

Hsu DJ, Feng M, Kothari R, Zhou H, Chen KP, Celi LA. The association between indwelling arterial catheters and mortality in hemodynamically stable patients with respiratory failure: A propensity score analysis. Chest, 148(6):1470–1476, Aug. 2015. [Epub ahead of print]. (doi:10.1378/chest.15-0516)

We refer you to the article for details about the motivation behind this research.

The MIMIC-II database (version 2.4) is described in:

M. Saeed, M. Villarroel, A.T. Reisner, G. Clifford, L. Lehman, G.B. Moody, T. Heldt, T.H. Kyaw, B.E. Moody, R.G. Mark. Multiparameter intelligent monitoring in intensive care II (MIMIC-II): A public-access ICU database. Critical Care Medicine 39(5):952-960 (2011 May); doi: 10.1097/CCM.0b013e31820a92c6.

When referencing this material, please cite the book and articles listed above, and also include the standard citation for PhysioNet:

Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng C-K, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation 101(23):e215-e220 [Circulation Electronic Pages; http://circ.ahajournals.org/content/101/23/e215.full]; 2000 (June 13).

The dataset (in file 'full_cohort_data.csv') includes a header with descriptive variable names. 'day_28_flg` was the main outcome of interest, while 'aline_flg' was the primary covariate of interest. There is a data dictionary (in file 'data_dictionary.txt') which gives more descriptive information about the variables.

For extraction information, see the GitHub repository:

https://github.com/MIT-LCP/Aline

This dataset does not include any waveform data.

 Name                    Last modified      Size  Description
 Parent Directory                             -   
 local.css               22-Jun-2016 12:14  3.2K  
 full_cohort_data.csv    01-Jun-2016 18:56  289K  
 data_dictionary.txt     01-Jun-2016 18:56  2.5K  
 SHA256SUMS              09-Jun-2016 14:01  708   
 SHA256SUM               01-Jun-2016 18:56  173   
 SHA1SUMS                09-Jun-2016 14:01  492   
 SHA1SUM                 01-Jun-2016 18:56  125   
 README.txt              01-Jun-2016 18:56  1.2K  
 MD5SUMS                 09-Jun-2016 14:01  420   
 MD5SUM                  01-Jun-2016 18:56  109   
 DOI                     22-Jun-2016 11:59   19

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Updated Friday, 28 October 2016 at 18:58 BRST

PhysioNet is supported by the National Institute of General Medical Sciences (NIGMS) and the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant number 2R01GM104987-09.