RHC {ATbounds} | R Documentation |
RHC
Description
The right heart catheterization (RHC) dataset is publicly available on the Vanderbilt Biostatistics website. RHC is a diagnostic procedure for directly measuring cardiac function in critically ill patients. The dependent variable is 1 if a patient survived after 30 days of admission, 0 if a patient died within 30 days. The treatment variable is 1 if RHC was applied within 24 hours of admission, and 0 otherwise. The sample size was n = 5735, and 2184 patients were treated with RHC. Connors et al. (1996) used a propensity score matching approach to study the efficacy of RHC, using data from the observational study called SUPPORT (Murphy and Cluff, 1990). Many authors used this dataset subsequently. The 72 covariates are constructed, following Hirano and Imbens (2001).
Usage
RHC
Format
A data frame with 5735 rows and 74 variables:
- survival
Outcome: 1 if a patient survived after 30 days of admission, and 0 if a patient died within 30 days
- RHC
Treatment: 1 if RHC was applied within 24 hours of admission, and 0 otherwise.
- age
Age in years
- edu
Years of education
- cardiohx
Cardiovascular symptoms
- chfhx
Congestive Heart Failure
- dementhx
Dementia, stroke or cerebral infarct, Parkinson’s disease
- psychhx
Psychiatric history, active psychosis or severe depression
- chrpulhx
Chronic pulmonary disease, severe pulmonary disease
- renalhx
Chronic renal disease, chronic hemodialysis or peritoneal dialysis
- liverhx
Cirrhosis, hepatic failure
- gibledhx
Upper GI bleeding
- malighx
Solid tumor, metastatic disease, chronic leukemia/myeloma, acute leukemia, lymphoma
- immunhx
Immunosuppression, organ transplant, HIV, Diabetes Mellitus, Connective Tissue Disease
- transhx
transfer (> 24 hours) from another hospital
- amihx
Definite myocardial infarction
- das2d3pc
DASI - Duke Activity Status Index
- surv2md1
Estimate of prob. of surviving 2 months
- aps1
APACHE score
- scoma1
Glasgow coma score
- wtkilo1
Weight
- temp1
Temperature
- meanbp1
Mean Blood Pressure
- resp1
Respiratory Rate
- hrt1
Heart Rate
- pafi1
PaO2/FI02 ratio
- paco21
PaCO2
- ph1
PH
- wblc1
WBC
- hema1
Hematocrit
- sod1
Sodium
- pot1
Potassium
- crea1
Creatinine
- bili1
Bilirubin
- alb1
Albumin
- cat1_CHF
1 if the primary disease category is CHF, and 0 otherwise (Omitted category = ARF).
- cat1_Cirrhosis
1 if the primary disease category is Cirrhosis, and 0 otherwise (Omitted category = ARF).
- cat1_Colon_Cancer
1 if the primary disease category is Colon Cancer, and 0 otherwise (Omitted category = ARF).
- cat1_Coma
1 if the primary disease category is Coma, and 0 otherwise (Omitted category = ARF).
- cat1_COPD
1 if the primary disease category is COPD, and 0 otherwise (Omitted category = ARF).
- cat1_Lung_Cancer
1 if the primary disease category is Lung Cancer, and 0 otherwise (Omitted category = ARF).
- cat1_MOSF_Malignancy
1 if the primary disease category is MOSF w/Malignancy, and 0 otherwise (Omitted category = ARF).
- cat1_MOSF_Sepsis
1 if the primary disease category is MOSF w/Sepsis, and 0 otherwise (Omitted category = ARF).
- ca_Metastatic
1 if cancer is metastatic, and 0 otherwise (Omitted category = no cancer).
- ca_Yes
1 if cancer is localized, and 0 otherwise (Omitted category = no cancer).
- ninsclas_Medicaid
1 if medical insurance category is Medicaid, and 0 otherwise (Omitted category = Private).
- ninsclas_Medicare
1 if medical insurance category is Medicare, and 0 otherwise (Omitted category = Private).
- ninsclas_Medicare_and_Medicaid
1 if medical insurance category is Medicare & Medicaid, and 0 otherwise (Omitted category = Private).
- ninsclas_No_insurance
1 if medical insurance category is No Insurance, and 0 otherwise (Omitted category = Private).
- ninsclas_Private_and_Medicare
1 if medical insurance category is Private & Medicare, and 0 otherwise (Omitted category = Private).
- race_black
1 if Black, and 0 otherwise (Omitted category = White).
- race_other
1 if Other, and 0 otherwise (Omitted category = White).
- income3
1 if Income >$50k, and 0 otherwise (Omitted category = under $11k).
- income1
1 if Income $11–$25k, and 0 otherwise (Omitted category = under $11k).
- income2
1 if Income $25–$50k, and 0 otherwise (Omitted category = under $11k).
- resp_Yes
Respiratory diagnosis
- card_Yes
Cardiovascular diagnosis
- neuro_Yes
Neurological diagnosis
- gastr_Yes
Gastrointestinal diagnosis
- renal_Yes
Renal diagnosis
- meta_Yes
Metabolic diagnosis
- hema_Yes
Hematological diagnosis
- seps_Yes
Sepsis diagnosis
- trauma_Yes
Trauma diagnosis
- ortho_Yes
Orthopedic diagnosis
- dnr1_Yes
Do Not Resuscitate status on day 1
- sex_Female
Female
- cat2_Cirrhosis
1 if the secondary disease category is Cirrhosis, and 0 otherwise (Omitted category = NA).
- cat2_Colon_Cancer
1 if secondary disease category is Colon Cancer, and 0 otherwise (Omitted category = NA).
- cat2_Coma
1 if the secondary disease category is Coma, and 0 otherwise (Omitted category = NA).
- cat2_Lung_Cancer
1 if the secondary disease category is Lung Cancer, and 0 otherwise (Omitted category = NA).
- cat2_MOSF_Malignancy
1 if the secondary disease category is MOSF w/Malignancy, and 0 otherwise (Omitted category = NA).
- cat2_MOSF_Sepsis
1 if the secondary disease category is MOSF w/Sepsis, and 0 otherwise (Omitted category = NA).
- wt0
weight = 0 (missing)
Source
The dataset is publicly available on the Vanderbilt Biostatistics website at https://hbiostat.org/data/.
References
Connors, A.F., Speroff, T., Dawson, N.V., Thomas, C., Harrell, F.E., Wagner, D., Desbiens, N., Goldman, L., Wu, A.W., Califf, R.M. and Fulkerson, W.J., 1996. The effectiveness of right heart catheterization in the initial care of critically III patients. JAMA, 276(11), pp.889-897. doi: 10.1001/jama.1996.03540110043030
Hirano, K., Imbens, G.W. Estimation of Causal Effects using Propensity Score Weighting: An Application to Data on Right Heart Catheterization, 2001. Health Services & Outcomes Research Methodology 2, pp.259–278. doi: 10.1023/A:1020371312283
D. J. Murphy, L. E. Cluff, SUPPORT: Study to understand prognoses and preferences for outcomes and risks of treatments—study design, 1990. Journal of Clinical Epidemiology, 43, pp. 1S–123S https://www.jclinepi.com/issue/S0895-4356(00)X0189-8 .