Evidence map›Paper›PMID 30523561›Full record

ArticleJournal of nephrology2019

Sustained low-efficiency dialysis for metformin-associated lactic acidosis in patients with acute kidney injury.

Paolo Greco, Giuseppe Regolisti, Umberto Maggiore, Elena Ferioli, Filippo Fani, Carlo Locatelli, Elisabetta Parenti, Caterina Maccari, Ilaria Gandolfini, Enrico Fiaccadori

Abstract read
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In one paragraph

Article in Journal of nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

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  10. Metformin-Induced Lactic Acidosis: A Question of Time.Case reports in critical care · 2020
    Article
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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

10 authors at 2 institutions in 1 country.

Paolo Greco *Acute and Chronic Renal Failure Unit, Department of Medicine and Surgery, University of Parma, Parma, Italy.
Giuseppe Regolisti *Acute and Chronic Renal Failure Unit, Department of Medicine and Surgery, University of Parma, Parma, Italy. giuregolisti@gmail.com.ORCID http://orcid.org/0000-0002-9976-5681
Umberto Maggiore *Renal Transplant Unit, Department of Medicine and Surgery, University of Parma, Parma, Italy.
Elena FerioliAcute and Chronic Renal Failure Unit, Department of Medicine and Surgery, University of Parma, Parma, Italy.
Filippo FaniAcute and Chronic Renal Failure Unit, Department of Medicine and Surgery, University of Parma, Parma, Italy.
Carlo LocatelliPoison Control Centre and National Toxicology Information Centre, Toxicology Unit, Istituti Clinici Scientifici Maugeri Spa-SB, IRCCS Pavia Hospital and University of Pavia, Pavia, Italy.
Elisabetta ParentiAcute and Chronic Renal Failure Unit, Department of Medicine and Surgery, University of Parma, Parma, Italy.
Caterina MaccariAcute and Chronic Renal Failure Unit, Department of Medicine and Surgery, University of Parma, Parma, Italy.
Ilaria GandolfiniRenal Transplant Unit, Department of Medicine and Surgery, University of Parma, Parma, Italy.
Enrico FiaccadoriAcute and Chronic Renal Failure Unit, Department of Medicine and Surgery, University of Parma, Parma, Italy.
University of Parma · ITUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe choice of the specific modality and treatment duration of renal replacement therapy (RRT) to adopt in metformin-associated lactic acidosis (MALA) is still debated. We aimed to verify if sustained low-efficiency dialysis (SLED) is a rational choice in patients with MALA and acute kidney injury (AKI).

methodsWe collected serial serum metformin measurements, clinical parameters, and outcome data in ten consecutive patients (mean age 77 years [range 58-88], 5 males) admitted to our renal intensive care unit for suspected MALA associated with AKI and hemodynamic instability. Patients underwent a 16-h SLED session performed with either conventional dialysis machines or machines for continuous RRT (CRRT). A 2-compartment open-infusion pharmacokinetic model with first-order elimination was fitted to each subject's serum concentration-time data to model post-SLED rebound and predict the need for further treatments.

resultsTwo patients died within 24 h after SLED start. Three patients needed one further dialysis session. Surviving patients (n = 8) were dialysis-free at discharge. Metformin levels were in the toxic range at baseline (median [range] 32.5 mg/l [13.6-75.6]) and decreased rapidly by the end of SLED (8.1 mg/l [4.5-15.8], p < 0.001 vs. baseline), without differences according to the dialysis machine used (p = 0.84). We observed a slight 4-h post-SLED rebound (9.7 mg/l [3.5-22.0]), which could be predicted by our pharmacokinetic model. Accordingly, we predicted that the majority of patients would need one additional dialysis session performed the following day to restore safe metformin levels.

conclusionsA 16-h SLED session, performed with either conventional dialysis machines or CRRT machines, allows effective metformin removal in patients with MALA and AKI. However, due to possible post-SLED rebound in serum metformin levels, one additional dialysis treatment is required the following day in the majority of patients.

Indexed as

Hybrid Renal Replacement TherapyAcidosis, LacticAcute Kidney InjuryAgedAged, 80 and overDiabetes Mellitus, Type 2FemaleHumansHypoglycemic AgentsMaleMetforminMiddle AgedModels, BiologicalRisk FactorsToxicokineticsTreatment OutcomeHypoglycemic AgentsMetforminAcute kidney injuryLactic acidosisMetforminPharmacokineticsSustained low-efficiency dialysis

Identifiers

PMID30523561
OpenAlexW2905559717

What OpenQuestion holds

Texttitle and abstract
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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.