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:

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;]; 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:

This dataset does not include any waveform data.

Icon  Name                    Last modified      Size  Description
[PARENTDIR] Parent Directory - [   ] DOI 2016-06-22 10:59 19 [   ] MD5SUM 2016-06-01 17:56 109 [   ] MD5SUMS 2016-06-09 13:01 420 [   ] SHA1SUM 2016-06-01 17:56 125 [   ] SHA1SUMS 2016-06-09 13:01 492 [   ] SHA256SUM 2016-06-01 17:56 173 [   ] SHA256SUMS 2016-06-09 13:01 708 [TXT] data_dictionary.txt 2016-06-01 17:56 2.5K [TXT] full_cohort_data.csv 2016-06-01 17:56 289K

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Updated Friday, 28 October 2016 at 16:58 EDT

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.