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. 2018 Mar 6;13(4):628–637. doi: 10.2215/CJN.10330917

Table 3.

Association between serious fall injuries and waitlisting among United States patients ages 18–80 years old initiating dialysis in 2010–2013

Measure/Modela Overall Serious Fall Injurya
No Yes
No. of patients 183,047 170,680 12,367
No. of patients waitlisted 18,811 18,470 341
Total patient-yr 269,965.1 243,425.9 26,539.2
Waitlisting rate, per 100 patient-yr 7.0 7.6 1.3
Hazard ratios for waitlisting by serious fall injury (95% CI)
 Primary analyses
  Crude 1.00 (Reference) 0.31 (0.28 to 0.35)
  Adjusted, demographicsb 1.00 (Reference) 0.38 (0.34 to 0.43)
  Adjusted, demographics + clinicalb 1.00 (Reference) 0.39 (0.35 to 0.44)
 Sensitivity analysesc
  Additional adjustment for
   Dialysis modality 1.00 (Reference) 0.40 (0.36 to 0.45)
   Peripheral vascular disease 1.00 (Reference) 0.39 (0.35 to 0.44)
   Amputation 1.00 (Reference) 0.39 (0.35 to 0.44)
   Inability to walk 1.00 (Reference) 0.39 (0.35 to 0.44)
   Inability to transfer 1.00 (Reference) 0.39 (0.35 to 0.44)
   Institutionalization 1.00 (Reference) 0.39 (0.35 to 0.44)
  Fall injuries with E codes only 1.00 (Reference) 0.37 (0.30 to 0.47)
 Subgroup analysesc
  Age, yr
   18–39 1.00 (Reference) 0.43 (0.32 to 0.58)
   40–64 (P40–64×18–39=0.70) 1.00 (Reference) 0.40 (0.35 to 0.46)
   ≥65 (P65×18–39=0.10) 1.00 (Reference) 0.35 (0.28 to 0.43)
  Sex
   Men 1.00 (Reference) 0.38 (0.32 to 0.44)
   Women (Pwomen×men=0.56) 1.00 (Reference) 0.41 (0.35 to 0.48)
  Race/ethnicity
   Non-Hispanic white 1.00 (Reference) 0.39 (0.33 to 0.45)
   Black (Pblack×white=0.59) 1.00 (Reference) 0.39 (0.31 to 0.50)
   Hispanic white (PHispanic×white=0.20) 1.00 (Reference) 0.45 (0.36 to 0.57)
   Other (Pother×white=0.10) 1.00 (Reference) 0.24 (0.14 to 0.42)

n=181,204 for models. 95% CI, 95% confidence interval.

a

From cohort entry to outcome or censoring.

b

Demographics: age, sex, and race/ethnicity. Clinical: demographics plus body mass index, comorbid diabetes, ischemic heart disease, hypertension, cerebrovascular disease, congestive heart failure, chronic obstructive pulmonary disease, and cancer.

c

Using the fully adjusted (demographics + clinical) model.