Evidence map›Paper›PMID 25500361›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2015

Predictors of outpatient kidney function recovery among patients who initiate hemodialysis in the hospital.

LaTonya J Hickson, Sanjay Chaudhary, Amy W Williams, John J Dillon, Suzanne M Norby, James R Gregoire, Robert C Albright, James T McCarthy, Bjorg Thorsteinsdottir, Andrew D Rule

Abstract read
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 87 citations in OpenAlex.

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  12. Designing acute kidney injury clinical trials.Nature reviews. Nephrology · 2024
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  19. ISCCM Guidelines on Acute Kidney Injury and Renal Replacement Therapy.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

LaTonya J HicksonDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic College of Medicine, Rochester, MN; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic College of Medicine, Rochester, MN. Electronic address: hickson.latonya@mayo.edu.
Sanjay ChaudharyDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic College of Medicine, Rochester, MN.
Amy W WilliamsDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic College of Medicine, Rochester, MN.
John J DillonDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic College of Medicine, Rochester, MN.
Suzanne M NorbyDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic College of Medicine, Rochester, MN.
James R GregoireDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic College of Medicine, Rochester, MN.
Robert C AlbrightDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic College of Medicine, Rochester, MN.
James T McCarthyDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic College of Medicine, Rochester, MN.
Bjorg ThorsteinsdottirRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic College of Medicine, Rochester, MN; Division of Primary Care Internal Medicine, Department of Medicine, Mayo Clinic College of Medicine, Rochester, MN.
Andrew D RuleDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic College of Medicine, Rochester, MN.
Mayo Clinic · USMayo Clinic in Arizona · US

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
NCATS NIH HHS UL1 TR000135
6 · The paper itself

Abstract

backgroundRecent policy clarifications by the Centers for Medicare & Medicaid Services have changed access to outpatient dialysis care at end-stage renal disease (ESRD) facilities for individuals with acute kidney injury in the United States. Tools to predict "ESRD" and "acute" status in terms of kidney function recovery among patients who previously initiated dialysis therapy in the hospital could help inform patient management decisions. STUDY

designHistorical cohort study. SETTING &

participantsIncident hemodialysis patients in the Mayo Clinic Health System who initiated in-hospital renal replacement therapy (RRT) and continued outpatient dialysis following hospital dismissal (2006 through 2009). PREDICTOR: Baseline estimated glomerular filtration rate (eGFR), acute tubular necrosis from sepsis or surgery, heart failure, intensive care unit, and dialysis access. OUTCOMES: Kidney function recovery defined as sufficient kidney function for outpatient hemodialysis therapy discontinuation.

resultsCohort consisted of 281 patients with a mean age of 64 years, 63% men, 45% with heart failure, and baseline eGFR≥30mL/min/1.73m(2) in 46%. During a median of 8 months, 52 (19%) recovered, most (94%) within 6 months. Higher baseline eGFR (HR per 10-mL/min/1.73m(2) increase eGFR, 1.27; 95% CI, 1.16-1.39; P<0.001), acute tubular necrosis from sepsis or surgery (HR, 3.34; 95% CI, 1.83-6.24; P<0.001), and heart failure (HR, 0.40; 95% CI, 0.19-0.78, P=0.007) were independent predictors of recovery within 6 months, whereas first RRT in the intensive care unit and catheter dialysis access were not. There was a positive interaction between absence of heart failure and eGFR≥30mL/min/1.73m(2) for predicting kidney function recovery (P<0.001). LIMITATIONS: Sample size.

conclusionsKidney function recovery in the outpatient hemodialysis unit following in-hospital RRT initiation is not rare. As expected, higher baseline eGFR is an important determinant of recovery. However, patients with heart failure are less likely to recover even with a higher baseline eGFR. Consideration of these factors at hospital discharge informs decisions on ESRD status designation and long-term hemodialysis care.

Indexed as

InpatientsOutpatientsRenal DialysisAdultAgedAged, 80 and overCohort StudiesFemaleGlomerular Filtration RateHeart FailureHumansIncidenceIntensive Care UnitsKidneyKidney Failure, ChronicMaleAcute kidney injury (AKI)acute on chronic kidney diseasediscontinuation of dialysisend-stage renal disease (ESRD)heart failurehospitalizationkidney function prognosisrenal recoveryrenal replacement therapy (RRT)reversible renal injuryrisk factorstransition to outpatient dialysis

Identifiers

PMID25500361
PMCPMC4630340
OpenAlexW2021876446

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.