Learn R Programming

survival (version 2.38-3)

mgus: Monoclonal gammapothy data

Description

Natural history of 241 subjects with monoclonal gammapothy of undetermined significance (MGUS).

Usage

mgus
mgus1

Arguments

format

mgus: A data frame with 241 observations on the following 12 variables. ll{ id: subject id age: age in years at the detection of MGUS sex: male or female dxyr: year of diagnosis pcdx: for subjects who progress to a plasma cell malignancy the subtype of malignancy: multiple myeloma (MM) is the most common, followed by amyloidosis (AM), macroglobulinemia (MA), and other lymphprolifative disorders (LP) pctime: days from MGUS until diagnosis of a plasma cell malignancy futime: days from diagnosis to last follow-up death: 1= follow-up is until death alb: albumin level at MGUS diagnosis creat: creatinine at MGUS diagnosis hgb: hemoglobin at MGUS diagnosis mspike: size of the monoclonal protien spike at diagnosis }

mgus1: The same data set in start,stop format. Contains the id, age, sex, and laboratory variable described above along with ll{ start, stop: sequential intervals of time for each subject status: =1 if the interval ends in an event event: a factor containing the event type: censor, death, or plasma cell malignancy enum: event number for each subject: 1 or 2 }

source

Mayo Clinic data courtesy of Dr. Robert Kyle.

Details

Plasma cells are responsible for manufacturing immunoglobulins, an important part of the immune defense. At any given time there are estimated to be about $10^6$ different immunoglobulins in the circulation at any one time. When a patient has a plasma cell malignancy the distribuion will become dominated by a single isotype, the product of the malignant clone, visible as a spike on a serum protein electrophoresis. Monoclonal gammapothy of undertermined significance (MGUS) is the presence of such a spike, but in a patient with no evidence of overt malignancy. This data set of 241 sequential subjects at Mayo Clinic was the groundbreaking study defining the natural history of such subjects. Due to the diligence of the principle investigator 0 subjects have been lost to follow-up.

Three subjects had MGUS detected on the day of death. In data set mgus1 these subjects have the time to MGUS coded as .5 day before the death in order to avoid tied times.

These data sets were updated in Jan 2015 to correct some small errors.

References

R Kyle, Benign monoclonal gammopathy -- after 20 to 35 years of follow-up, Mayo Clinic Proc 1993; 68:26-36.

Examples

Run this code
# Create the competing risk curves for time to first of death or PCM
sfit <- survfit(Surv(start, stop, event) ~ sex, mgus1, subset=(enum==1))
print(sfit)  # the order of printout is the order in which they plot

plot(sfit, xscale=365.25, lty=c(2,1,2,1), col=c(1,1,2,2),
     xlab="Years after MGUS detection", ylab="Proportion")
legend(0, .8, c("Death/male", "Death/female", "PCM/male", "PCM/female"),
       lty=c(1,1,2,2), col=c(2,1,2,1), bty='n')

title("Curves for the first of plasma cell malignancy or death")
# The plot shows that males have a higher death rate than females (no
# surprise) but their rates of conversion to PCM are essentially the same.

Run the code above in your browser using DataLab