Evidence map›Paper›PMID 28823018›Full record

Observational studyInternational journal of clinical pharmacy2017

Prevalence and nature of potential drug-drug interactions among kidney transplant patients in a German intensive care unit.

Julia Amkreutz, Alexander Koch, Lukas Buendgens, Anja Muehlfeld, Christian Trautwein, Albrecht Eisert

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in International journal of clinical pharmacy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Observational
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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

6 authors at 1 institution in 1 country.

Julia AmkreutzHospital Pharmacy, University Hospital RWTH Aachen, Aachen, Germany. jamkreutz@ukaachen.de.
Alexander KochDepartment of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
Lukas BuendgensDepartment of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
Anja MuehlfeldDepartment of Medicine II, University Hospital RWTH Aachen, Aachen, Germany.
Christian TrautweinDepartment of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
Albrecht EisertHospital Pharmacy, University Hospital RWTH Aachen, Aachen, Germany.
RWTH Aachen University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Complex polypharmacotherapy makes kidney transplant patients vulnerable to drug-drug interactions (DDIs). Objective To study prevalence and nature of potential DDIs (pDDIs) in kidney transplant patients. Setting Internal medicine ICU, University Hospital RWTH Aachen. Method In this retrospective observational study, pDDIs were identified in the first week after transplant from 1999 to 2010. Patients aged at least 18 years with prescription of at least two drugs were included. Patients with incomplete data were excluded. Data was originally obtained from medical charts. Two Clinical Decision Support Systems (CDSSs) in German language, mediQ and Meona, were used for pDDI identification and severity rating. Main outcome measure PDDIs in each severity level of the CDSSs/100 patient days. Results A total of 252 patients with 37,577 prescriptions were analysed. We found 99 pDDIs from severity levels major/contraindicated in Meona and 299 pDDIs from severity levels clinically relevant/strong in mediQ per 100 patient days. Most important potential consequences of pDDIs in respective severity levels were changes in immunosuppressant drug and potassium levels, nephrotoxicity and cardiac adverse events. Conclusion This study found a high prevalence of pDDIs in the first week after kidney transplant. Medication should be checked for pDDIs to prevent ADEs. It is strongly advisable to closely monitor patients within the first week after transplant for clinical and laboratory parameters and if necessary, change therapy. Physician education on the basis of study findings, DDI check with Clinical Physician Order Entry System/CDSSs and integration of a clinical pharmacist into the ward team should be targeted.

Indexed as

AdultDrug InteractionsFemaleGermanyHumansIntensive Care UnitsKidney TransplantationMaleMiddle AgedPrevalenceRetrospective StudiesRisk FactorsClinical decision support systemsDrug–drug interactionsGermanyIntensive careKidney transplantationPharmacoepidemiology

Identifiers

PMID28823018
OpenAlexW2747521626

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.