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Accuracy of decrease in blood flow in predicting hemodialysis graft thrombosis

  • William D. Paulson(corresponding author)
    ,
  • Sunanda J. Ram
    ,
  • Carolyn G. Birk
    ,
  • Mary Zapczynski
    ,
  • Shelley R. Martin
    ,
  • Jack Work
*Corresponding author for this work
  • LSU Health Sciences Center - Shreveport
    ,
  • Louisiana State University Health Sciences Center
    ,
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

We recently showed that a single low graft blood-flow measurement (Qa) does not accurately predict graft thrombosis. In this study, we prospectively determined whether percentage of decrease in Qa (ΔQa) or adjustment of Qa for mean arterial pressure (Qa/MAP; Δ(Qa/MAP)) provides greater predictive accuracy than a single Qa. We monitored 83 grafts from 80 patients for thrombosis over periods up to 12 months. Qa (by ultrasound dilution) and MAP were measured monthly during the study. Receiver operating characteristic curves were used to determine whether Qa, ΔQa, Qa/MAP, or Δ(Qa/MAP) provided the combination of high sensitivity (>80%) and low false-positive rate (FPR; <20%) needed for clinical use. This level of predictive accuracy requires an area under the curve (AUC) of approximately 0.90. We analyzed the four predictors by a number of criteria and found that all AUCs were less than 0.90 and adjustment for MAP reduced the AMC. In predicting thrombosis within 1 month, for example, AUCs for Qa and net ΔQa (over 3 months) were 0.84 and 0.82, respectively, whereas AUCs for Qa/MAP and net Δ(Qa/MAP) were 0.78 and 0.75, respectively. At a sensitivity of 80%, FPRs for all predictors were at least 30%. Thus, a high sensitivity always required a high FPR. These results show that ΔQa and adjustment for MAP are not more accurate than a single low Qa in predicting thrombosis. None of these predictors provide enough predictive accuracy to be the sole criterion for clinical decision making. A successful monitoring and intervention program will likely require the inclusion of other predictors that, together with Qa, may provide the needed accuracy. (C) 2000 by the National Kidney Foundation, Inc.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 1089-1095 (7 pages)

Journal (Volume, Issue Number)

American Journal of Kidney Diseases (Volume 35, Issue 6)

Publication milestones

  • Published - 2000

Publication status

Published - 2000

ISSN

0272-6386

Publication IDs

  • Scopus: 0034042549
  • PubMed: 10845822

Publication metrics

Metrics

Scopus
citations
SciVal
citations
62
SciVal
FWCI
3.08
SciVal
Author count
6
SciVal
Paper percentile
88
Fractional count
1
Fractional count
0.17
Fractional count
5
Fractional count
0.83
Fractional count
1
Fractional count
1

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Citation count
63
Captures
24

Funding Details

Acknowledgment: The authors thank Dialysis Clinic, Inc, for a grant that funded part of this research.