Research Article

Impact of Hemodialysis Catheter Dysfunction on Dialysis and Other Medical Services: An Observational Cohort Study

Table 1

Demographic and clinical characteristics of the study population.

Characteristic Frequency%
9,707100.0%

Age
 18–492,08021.43%
 50–643,07331.66%
 65–742,27823.47%
 ≥752,27623.45%
Gender
 Male4,58747.3%
 Female5,12052.7%
Race
 Black3,90340.2%
 White5,15853.1%
 Other6466.7%
Underlying cause of renal failure
 Diabetes4,45645.9%
 Hypertension2,67827.6%
 Glomerulonephritis97710.1%
 Other/unknown1,59616.4%
Charlson comorbidity index score distribution
 04,03841.6%
 1-22,06821.3%
 3-42,05821.2%
 ≥51,54315.90%
ESRD network*
 01-02 (CT, MA, ME, NH, NY, RI, VT)4584.7%
 03-04 (DE, NJ, PA)4164.3%
 05 (DC, MD, VA, WV)1,01810.5%
 06 & 08 (AL, GA, MS, NC, SC, TN)1,22212.6%
 07 (FL)7898.1%
 09-10 (IL, IN, KY, OH)7878.1%
 11 (MI, MN, ND, SD, WI)7637.9%
 12 (IA, KS, MO, NE)3753.9%
 13 (AR, LA, OK)3924.0%
 14 (TX)1,09511.3%
 15 (AZ, CO, NM, NV, UT, WY)5816.0%
 16-17 (AK, CA, HI, ID, MT, NoCA, OR, WA)8248.5%
 18 (SoCal)98710.2%

*Abbreviations are US states within each region.