Literature DB >> 32753139

Patterns of Cystatin C Uptake and Use Across and Within Hospitals.

Hilary R Teaford1, Andrew D Rule2, Kristin C Mara3, Kianoush B Kashani4, John C Lieske5, Diana J Schreier1, Patrick M Wieruszewski1, Erin F Barreto6.   

Abstract

OBJECTIVE: To characterize the use of cystatin C (cysC) across and within hospitals. PATIENTS AND METHODS: This 2-part study first evaluated access to cysC testing across 129 hospitals in the state of Minnesota, using a telephone-based survey. Second, granular data from a single center (Mayo Clinic) with on-site, rapid-turnaround testing (<1 day) and automated estimated glomerular filtration rate (eGFR) reporting was used to describe temporal patterns. The characteristics of hospitals that offered cysC testing and of patients who underwent rapid cysC testing at Mayo Clinic between January 1, 2011, and March 31, 2018, were described. Poisson regression analyzed temporal trends in cysC testing.
RESULTS: Of the 114 hospitals (88%) that responded to the statewide survey, cysC was available in 91 (80%), but only 3 of 91 (3%) reported a turnaround time of <1 day. At Mayo Clinic, cysC use increased from 0.74 tests per 1000 patient-days in 2011 to 14 tests per 1000 patient-days in 2018 (P=.004). Of the 3774 patients with cysC tests, the mean first available eGFR was 46 mL/min per 1.73 m2 using cysC and 59 mL/min per 1.73 m2 using serum creatinine (P<.001). CysC testing was used across all intensities of care and was ordered by a variety of specialties. Nephrology was consulted in only 42% of cases.
CONCLUSION: In the hospital, rapid-turnaround cysC testing is necessary for practical use but was not widely available in Minnesota. When available, a marked increase in cysC testing was observed over the study timeframe. Additional research is needed to determine optimal strategies for implementation of cysC within hospitals.
Copyright © 2020 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.

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Year:  2020        PMID: 32753139      PMCID: PMC7412578          DOI: 10.1016/j.mayocp.2020.03.030

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN: 0025-6196            Impact factor:   7.616


  38 in total

1.  Rapid detection of acute kidney injury by plasma cystatin C in the intensive care unit.

Authors:  Maryam Nejat; John W Pickering; Robert J Walker; Zoltán H Endre
Journal:  Nephrol Dial Transplant       Date:  2010-03-28       Impact factor: 5.992

2.  Informatics infrastructure for syndrome surveillance, decision support, reporting, and modeling of critical illness.

Authors:  Vitaly Herasevich; Brian W Pickering; Yue Dong; Steve G Peters; Ognjen Gajic
Journal:  Mayo Clin Proc       Date:  2010-03       Impact factor: 7.616

3.  The threat to medical-records research.

Authors:  L J Melton
Journal:  N Engl J Med       Date:  1997-11-13       Impact factor: 91.245

4.  Development and validation of electronic surveillance tool for acute kidney injury: A retrospective analysis.

Authors:  Adil Ahmed; Srinivasan Vairavan; Abbasali Akhoundi; Gregory Wilson; Caitlyn Chiofolo; Nicolas Chbat; Rodrigo Cartin-Ceba; Guangxi Li; Kianoush Kashani
Journal:  J Crit Care       Date:  2015-05-19       Impact factor: 3.425

5.  Estimating glomerular filtration rate from serum creatinine and cystatin C.

Authors:  Lesley A Inker; Christopher H Schmid; Hocine Tighiouart; John H Eckfeldt; Harold I Feldman; Tom Greene; John W Kusek; Jane Manzi; Frederick Van Lente; Yaping Lucy Zhang; Josef Coresh; Andrew S Levey
Journal:  N Engl J Med       Date:  2012-07-05       Impact factor: 91.245

6.  The Enterprise Data Trust at Mayo Clinic: a semantically integrated warehouse of biomedical data.

Authors:  Christopher G Chute; Scott A Beck; Thomas B Fisk; David N Mohr
Journal:  J Am Med Inform Assoc       Date:  2010 Mar-Apr       Impact factor: 4.497

7.  Glomerular filtration rate estimated by cystatin C among different clinical presentations.

Authors:  A D Rule; E J Bergstralh; J M Slezak; J Bergert; T S Larson
Journal:  Kidney Int       Date:  2006-01       Impact factor: 10.612

8.  Impact of individualized target mean arterial pressure for septic shock resuscitation on the incidence of acute kidney injury: a retrospective cohort study.

Authors:  Rajat N Moman; Stuart A Ostby; Abbasali Akhoundi; Rahul Kashyap; Kianoush Kashani
Journal:  Ann Intensive Care       Date:  2018-12-10       Impact factor: 6.925

Review 9.  Implementing genomic medicine in the clinic: the future is here.

Authors:  Teri A Manolio; Rex L Chisholm; Brad Ozenberger; Dan M Roden; Marc S Williams; Richard Wilson; David Bick; Erwin P Bottinger; Murray H Brilliant; Charis Eng; Kelly A Frazer; Bruce Korf; David H Ledbetter; James R Lupski; Clay Marsh; David Mrazek; Michael F Murray; Peter H O'Donnell; Daniel J Rader; Mary V Relling; Alan R Shuldiner; David Valle; Richard Weinshilboum; Eric D Green; Geoffrey S Ginsburg
Journal:  Genet Med       Date:  2013-01-10       Impact factor: 8.822

10.  Cystatin C Predicts Renal Recovery Earlier Than Creatinine Among Patients With Acute Kidney Injury.

Authors:  Kamel A Gharaibeh; Abdurrahman M Hamadah; Ziad M El-Zoghby; John C Lieske; Timothy S Larson; Nelson Leung
Journal:  Kidney Int Rep       Date:  2017-11-03
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  2 in total

1.  Prediction of Vancomycin Levels Using Cystatin C in Overweight and Obese Patients: a Retrospective Cohort Study of Hospitalized Patients.

Authors:  Hilary R Teaford; Ryan W Stevens; Andrew D Rule; Kristin C Mara; Kianoush B Kashani; John C Lieske; John O'Horo; Erin F Barreto
Journal:  Antimicrob Agents Chemother       Date:  2020-12-16       Impact factor: 5.191

2.  Prospective evaluation of high-dose methotrexate pharmacokinetics in adult patients with lymphoma using novel determinants of kidney function.

Authors:  Jason N Barreto; Joel M Reid; Carrie A Thompson; Kristin C Mara; Andrew D Rule; Kianoush B Kashani; Nelson Leung; Thomas R Larson; Renee M McGovern; Thomas E Witzig; Erin F Barreto
Journal:  Clin Transl Sci       Date:  2021-08-23       Impact factor: 4.689

  2 in total

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