Evidence map›Paper›PMID 26149449›Full record

Observational studyBMC nephrology2015

Fluctuation of the renal function after discharge from hospital and its effects on drug dosing in elderly patients--study protocol.

Willemijn L Eppenga, Wietske N Wester, Hieronymus J Derijks, Rein M J Hoedemakers, Michel Wensing, Peter A G M De Smet, Rob J Van Marum

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC nephrology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Observational
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Willemijn L EppengaRadboud University Medical Center, Radboud Institute for Health Sciences, IQ healthcare, Postbus 9101, 114, 6500 HB, Nijmegen, The Netherlands. Willemijn.Eppenga@radboudumc.nl.
Wietske N WesterDepartment of Geriatric Medicine, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands. wnwester@live.nl.
Hieronymus J DerijksZANOB, 's-Hertogenbosch, The Netherlands. J.Derijks@zanob.nl.
Rein M J HoedemakersLaboratory of Clinical Chemistry and Haematology, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands. R.Hoedemakers@jbz.nl.
Michel WensingRadboud University Medical Center, Radboud Institute for Health Sciences, IQ healthcare, Postbus 9101, 114, 6500 HB, Nijmegen, The Netherlands. Michel.Wensing@radboudumc.nl.
Peter A G M De SmetRadboud University Medical Center, Radboud Institute for Health Sciences, IQ healthcare, Postbus 9101, 114, 6500 HB, Nijmegen, The Netherlands. pdesmet@knmp.nl.
Rob J Van MarumDepartment of Geriatric Medicine, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands. R.v.Marum@jbz.nl.
Jeroen Bosch Ziekenhuis · NLRadboud University Medical Center · NLExpertise Center Vocational Education · NLRadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) is associated with an increased mortality rate, risk of cardiovascular events and morbidity. Impaired renal function is common in elderly patients, and their glomerular filtration rate (GFR) should be taken into account when prescribing renally excreted drugs. In a hospital care setting the GFR may fluctuate substantially, so that the renal function group and therefore the recommended dose, can change within a few days. The magnitude and prevalence of the fluctuation of renal function in daily clinical practice and its potential effects on appropriateness of drug prescriptions after discharge from the hospital is unknown. METHODS/

designThis is a prospective observational study. Patients ≥ 70 years with renal impairment (eGFR < 60 ml/min/1.73 m(2)) admitted to a geriatric ward are eligible to participate. Participants undergo blood sample collection to measure serum creatinine level at three time points: at discharge from hospital, 14 days, and 2 months after discharge. At these time points the actual medication of the participants is assessed and the number of incorrect prescriptions according to the Dutch guidelines in relation to their estimated renal function is measured. In addition, for a hypothetical selection of drugs, the need for drug dose adaptation in relation to renal function is measured. The outcome of interest is the percentage of patients that changes from renal function group after discharge from hospital compared to the renal function at discharge. In addition, the percentages of patients whose actual medications are incorrectly prescribed and for the hypothetical selection of drugs that would have required dose adaptation will be determined at discharge, 14 days and 2 months after discharge. For each outcome, risk factors which may lead to increased risk for fluctuation of renal function and/or incorrect drug prescribing will also be identified and analysed. DISCUSSION: This study will provide data on changes in renal function in elderly patients after discharge from the hospital with a focus on the medications used. The benefits for healthcare professionals comprise of the creation, adjustment or confirmation of recommendations for the monitoring of the renal function after discharge from hospital of elderly patients.

Indexed as

AgedAged, 80 and overAnti-Inflammatory Agents, Non-SteroidalCreatinineDiureticsFemaleHumansKidneyMaleNetherlandsPatient DischargePharmaceutical PreparationsPolypharmacyProspective StudiesRenal Insufficiency, ChronicRenin-Angiotensin SystemAnti-Inflammatory Agents, Non-SteroidalCreatinineDiureticsPharmaceutical Preparations

Identifiers

PMID26149449
PMCPMC4492070
OpenAlexW1825118946

What OpenQuestion holds

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Registered trials

None linked

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.