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Table 3 Multivariable Cox regression model evaluating association between steroid use and first infection events

From: Association of baseline steroid use with long-term rates of infection and sepsis in the REGARDS cohort

Exposure

Total N

Event N (%)

IR per 1000 py (95% CI)

Crude

Model 1

Model 2

Model 3

HR (95% CI)

HR (95% CI)

HR (95% CI)

HR (95% CI)

Baseline chronic steroid use – full cohort

 Steroid user

677

132 (19.5)

37.99 (32.03–45.06)

2.78 (2.33– 3.31)

2.64 (2.22–3.15)

2.60 (2.17–3.10)

2.10 (1.73–2.56)

 Non-user

29,506

2,461 (8.5)

13.79 (13.26–14.35)

Ref

Ref

Ref

Ref

Baseline chronic steroid use – propensity matcheda

 Steroid user

538

103 (19.2)

36.37 (29.99–44.12)

1.89 (1.38–2.60)

1.97 (1.43–2.72)

1.98 (1.44–2.73)

2.01 (1.45–2.78)

 Non-user

538

60 (11.2)

19.34 (15.01–24.91)

Ref

Ref

Ref

Ref

  1. Model 1 = adjusted for demographics (age, race, income, education, income); Model 2 = Model 1 + health behaviors (alcohol use, smoking status); Model 3 = Model 2 + chronic medical conditions (atrial fibrillation, chronic kidney disease, chronic lung disease, coronary artery disease, deep vein thrombosis, diabetes, dyslipidemia, hypertension, myocardial infarction, obesity, peripheral artery disease, stroke), Morisky Adherence Scale
  2. IR incidence rate, PY person years
  3. aPropensity score includes age, race, income, education, income, alcohol use, smoking status, atrial fibrillation, chronic kidney disease, chronic lung disease, coronary artery disease, deep vein thrombosis, diabetes, dyslipidemia, hypertension, myocardial infarction, obesity, peripheral artery disease, stroke, Morisky Adherence Scale, and C-reactive protein