Evidence map›Paper›PMID 37082719›Full record

ArticleClinical nephrology. Case studies2023

Moderate hyperosmolar hyponatremia caused by excessive off-label use of icodextrin during peritoneal dialysis.

Harshad Chaudhari, Smita Mahendrakar, Apokbo Akporotu, Michael Yudd

Open access · greenAbstract readCase Reports
In one paragraph

Article in Clinical nephrology. Case studies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Harshad ChaudhariDepartment of Medicine, Rutgers New Jersey Medical School, Newark, and.
Smita MahendrakarDepartment of Medicine, Rutgers New Jersey Medical School, Newark, and.
Apokbo AkporotuDepartment of Medicine, Rutgers New Jersey Medical School, Newark, and.
Michael YuddDepartment of Medicine, Department of Veterans Affairs Medical Center, East Orange, NJ, USA.
Rutgers, The State University of New Jersey · USVeterans Biomedical Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Icodextrin use during the long dwell of a peritoneal dialysis (PD) regimen is commonly used to increase ultrafiltration. Its use may cause a mild and clinically insignificant degree of hyponatremia. We describe a patient who was admitted twice to our medical center on an atypical continuous ambulatory peritoneal dialysis (CAPD) regimen utilizing solely icodextrin with 2 exchanges (12-hour dwells). On both admissions, he had hyperosmolar hyponatremia in the 120-mmol/L range with a large osmolal gap. After icodextrin was stopped and his PD prescription was switched to dextrose solutions, both hyponatremia corrected and the osmolal gap quickly disappeared. The accumulation of osmotically active solute in extracellular fluids results in efflux of water from the cellular compartment and produces both hyponatremia and hypertonicity [1]. This tonic effect occurs most frequently with hyperglycemia, but other substances can also cause this, including mannitol, sorbitol, glycine, and maltose [1, 2]. In this report, we present a patient with end-stage renal disease (ERSD) on an atypical off-label PD regimen utilizing solely icodextrin solutions who developed hyperosmolar hyponatremia in the 120-mmol/L range, with a large osmolal gap. This appeared to be due to absorbed metabolites of icodextrin, mainly maltose.

Indexed as

hyponatremiaicodextrinosmolal gapperitoneal dialysis

Identifiers

PMID37082719
PMCPMC10112000
OpenAlexW4365396376

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.