Evidence map›Paper›PMID 40502910›Full record

ArticleCureus2025

Euglycemic Diabetic Ketoacidosis With Sepsis and Acute Kidney Injury in Critically Ill Patients: A Case Series.

Daichi Yomogida, Suguru Hasegawa, Shiori Mizuta, Shinjiro Horikawa, Yosinao Koshida

Abstract readCase Reports
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Daichi YomogidaDepartment of Intensive Care Medicine, Toyama Prefectural Central Hospital, Toyama, JPN.
Suguru HasegawaDepartment of Intensive Care Medicine, Toyama Prefectural Central Hospital, Toyama, JPN.
Shiori MizutaDepartment of Intensive Care Medicine, Toyama Prefectural Central Hospital, Toyama, JPN.
Shinjiro HorikawaDepartment of Intensive Care Medicine, Toyama Prefectural Central Hospital, Toyama, JPN.
Yosinao KoshidaDepartment of Intensive Care Medicine, Toyama Prefectural Central Hospital, Toyama, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic ketoacidosis (DKA) typically presents with hyperglycemia, but euglycemic diabetic ketoacidosis (EDKA) occurs when patients present with acidosis and normal blood glucose levels. This condition has garnered attention due to its association with sodium-glucose cotransporter-2 (SGLT2) inhibitors and other factors such as sepsis. Acute kidney injury (AKI) often complicates sepsis cases and is associated with metabolic acidosis. Distinguishing between AKI and EDKA can be difficult, particularly when both conditions co-occur, as observed in three ICU cases of sepsis with AKI and EDKA. In this report, the clinical challenges of diagnosing EDKA in critically ill patients, especially in the presence of metabolic acidosis and an elevated anion gap, are highlighted. In these cases, metabolic acidosis was initially attributed to AKI; however, blood ketone levels were essential for confirming EDKA. Treatment for EDKA was prioritized over kidney replacement therapy (KRT), which was only initiated when needed for AKI management. Despite its potential benefits in managing AKI, KRT's role in EDKA treatment requires further investigation. This report emphasizes the importance of early diagnosis of EDKA in diabetic patients with sepsis and AKI, stressing the need for prompt ketone testing and insulin therapy, while acknowledging the ongoing uncertainties surrounding the impact of KRT on prognosis in EDKA cases.

Indexed as

acute kidney injuryanion gapcontinuous hemodiafiltrationeuglycemic diabetic ketoacidosiskidney replacement therapy

Identifiers

PMID40502910
PMCPMC12151703

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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.