Time-to-event modeling of hypertension reveals the nonexistence of true controls

  1. Daniel Shriner  Is a corresponding author
  2. Amy R Bentley
  3. Jie Zhou
  4. Kenneth Ekoru
  5. Ayo P Doumatey
  6. Guanjie Chen
  7. Adebowale Adeyemo
  8. Charles N Rotimi  Is a corresponding author
  1. Center for Research on Genomics and Global Health, National Human Genome Research Institute, United States
4 figures, 7 tables and 3 additional files

Figures

Blood pressure among normotensive and untreated individuals.

The solid red horizontal line represents the diagnostic threshold of 140 mm Hg and the solid blue horizontal line represents the diagnostic threshold of 90 mm Hg.

Time-to-event curves.
Parametric hazard functions.
Nonparametric baseline hazard functions.

Tables

Table 1
Likelihoods for several parametric and nonparametric baseline hazard functions.
Distribution-ln(Likelihood)
Nonparametric553.690
Log-normal580.417
Gamma580.589
Weibull582.688
Exponential624.069
Loglogistic625.762
Generalgamma638.588
Table 2
Effective dimensionality of logistic and proportional hazards models.
ModelParametersDICpD
Logisticintercept1406.61.0
Logisticintercept, age1171.22.0
Logisticintercept, age, age21165.33.0
Proportional hazardsα, β, λ0(t)1166.53.3
Proportional hazardsα, β, λ0(t), π1167.34.0
Table 3
Replication of covariates from model selection in African Americans.
HUFS ( = 1,014)NHANES ( = 5,135)
VariableEstimateSEp-ValueEstimateSEp-Value
Chloride (mmol/L)−0.02530.01223.81E-02−0.02410.01102.81E-02
Insulin (mIU/L)0.01120.00543.61E-020.01150.00449.04E-03
LDL cholesterol (mg/dL)−0.00310.00131.75E-02−0.00180.00083.04E-02
Potassium (mmol/L)−0.25530.10161.20E-02−0.56950.09309.30E-10
Uric acid (mg/dL)0.17130.03511.04E-060.12830.02271.66E-08
Weight (lbs.)0.00330.00112.36E-030.01060.00151.83E-12
Table 4
Covariates from model selection in European Americans and Mexican Americans.
European Americans ( = 10,023)Mexican Americans ( = 5,040)
VariableEstimateSEp-ValueEstimateSEp-Value
Chloride (mmol/L)−0.06560.00771.99E-17−0.05340.01534.85E-04
Insulin (mIU/L)0.00220.00516.76E-010.01110.00395.05E-03
LDL cholesterol (mg/dL)−0.00230.00061.38E-04−0.00490.00131.88E-04
Potassium (mmol/L)−0.35240.06832.49E-07−0.23310.12987.25E-02
Uric acid (mg/dL)0.13910.01653.16E-170.08330.03158.28E-03
Weight (lbs.)0.01500.00165.61E-210.01640.00272.72E-09
Table 5
Sexual dimorphism among covariates in HUFS.
VariableMale ( = 414)Female ( = 600)p-Value
Chloride (mmol/L)101.4 (4.4)101.1 (5.3)0.482
Insulin (mIU/L)10.9 (15.3)12.0 (11.9)0.228
LDL cholesterol (mg/dL)111.3 (38.0)117.9 (38.7)7.28E-03
Potassium (mmol/L)4.5 (0.7)4.4 (1.3)0.052
Uric acid (mg/dL)6.3 (1.5)5.0 (1.5)6.36E-35
Weight (lbs.)194.4 (52.2)186.1 (52.5)0.014
Table 6
Time-dependence for selected covariates in HUFS.
Interaction termAIC
None1096.053
Age × chloride1096.695
Age × insulin1097.190
Age × low-density lipoprotein cholesterol1097.748
Age × potassium1097.956
Age × uric acid1097.919
Age × weight1097.013
Key resources table
Reagent type
(species) or
resource
DesignationSource or
reference
IdentifiersAdditional
information
Software,
algorithm
R Project for
Statistical
Computing
R Project for
Statistical
Computing
RRID:SCR_001905

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  1. Daniel Shriner
  2. Amy R Bentley
  3. Jie Zhou
  4. Kenneth Ekoru
  5. Ayo P Doumatey
  6. Guanjie Chen
  7. Adebowale Adeyemo
  8. Charles N Rotimi
(2020)
Time-to-event modeling of hypertension reveals the nonexistence of true controls
eLife 9:e62998.
https://doi.org/10.7554/eLife.62998