Evidence map›Paper›PMID 31663151›Full record

ArticleBritish journal of clinical pharmacology2020

Risk factors associated with biochemically detected and hospitalised acute kidney injury in patients prescribed renin angiotensin system inhibitors.

Patrick B Mark, Richard Papworth, Nitish Ramparsad, Laurie A Tomlinson, Simon Sawhney, Corri Black, Alex McConnachie, Colin McCowan

Open access · bronzeAbstract read
In one paragraph

Article in British journal of clinical pharmacology, 2020. 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
1.0field-weighted citation impact, top 24% 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, 8 citations in OpenAlex.

  1. Review
  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

8 authors at 4 institutions in 1 country.

Patrick B MarkInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.ORCID 0000-0003-3387-2123
Richard PapworthRobertson Centre for Biostatistics, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Nitish RamparsadRobertson Centre for Biostatistics, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Laurie A TomlinsonLondon School of Hygiene and Tropical Medicine, London, UK.
Simon SawhneyAberdeen Centre for Health Data Science, School of Medicine, Medical Science and Nutrition, University of Aberdeen, Aberdeen, UK.
Corri BlackAberdeen Centre for Health Data Science, School of Medicine, Medical Science and Nutrition, University of Aberdeen, Aberdeen, UK.
Alex McConnachieRobertson Centre for Biostatistics, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Colin McCowanRobertson Centre for Biostatistics, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
University of Glasgow · GBUniversity of Aberdeen · GBLondon School of Hygiene & Tropical Medicine · GBQueen Elizabeth University Hospital · GB

Funding

Chief Scientist Office HICG/1/01Chief Scientist Office HICG/1/1Wellcome TrustWellcome Trust 102729/Z/13/Z
6 · The paper itself

Abstract

aimsTherapy with angiotensin-converting enzyme inhibitors (ACEi) and angiotensin receptor blockers (ARB) is a mainstay of treatment for heart failure (HF), diabetes mellitus (DM) and chronic kidney disease (CKD). These agents have been associated with development of acute kidney injury (AKI) during intercurrent illness. Risk factors for AKI in patients prescribed ACEi/ARB therapy are not well described.

methodsWe captured the incidence of AKI in patients commencing ACEi/ARB during 2009-2015 using anonymised patient records. Hospital-coded AKI was defined from hospital episode statistics; biochemical AKI was ascertained from laboratory data. Risk factors for biochemically detected and hospitalised AKI were investigated.

resultsOf 61,318 patients prescribed ACEi/ARB, with 132 885 person years (py) follow-up, there were 1070 hospitalisations with AKI as a diagnosis recorded and a total of 4645 AKI events, including AKI episodes indicated by biochemical KDIGO-based creatinine change criteria. Incidence of any AKI event was 35.0 per 1000-py, hospital-coded AKI was 7.8 per 1000-py and biochemical AKI was 33.7 per 1000-py. Independent risk factors in a multivariable model for hospital-coded AKI events were age, male gender, HF, diabetes, cerebrovascular disease, lower estimated glomerular filtration rate, socioeconomic deprivation, diuretic or non-steroidal anti-inflammatory use (all P < 0.001).

conclusionIn patients prescribed ACEi/ARB, the highest risk of AKI is associated with conditions which are considered strong evidence-based indications for their prescription. Socio-economic status is an under-reported risk factor for AKI with these agents. Strategies targeted at prevention of AKI may be of benefit, such as enhanced awareness based on higher risk comorbidities.

Indexed as

Acute Kidney InjuryAngiotensin Receptor AntagonistsAngiotensin-Converting Enzyme InhibitorsHumansMaleRenin-Angiotensin SystemRisk FactorsAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor Antagonistsacute kidney injuryangiotensin converting enzyme inhibitorangiotensin receptor blockerchronic kidney diseaseheart failure

Identifiers

PMID31663151
PMCPMC6983520
OpenAlexW2982505052

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.