Evidence mapPaperPMID 39680130Full record

Observational studyActa diabetologica2025

Factors associated with intensive care unit admission due to diabetic ketoacidosis in adults: a validated predictive model.

Fernando Sebastian-Valles, Andrés Carlos Von Wernitz Teleki, Maria Sara Tapia-Sanchiz, Victor Navas-Moreno, Marta Lopez-Ruano, Carmen Martinez-Otero, Elena Carrillo-López, Carolina Sager-La Ganga, Juan José Raposo-López, Selma Amar and 4 more

Abstract readObservational Study
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In one paragraph

Observational study in Acta diabetologica, 2025. 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
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

0 citing papers in PubMed.

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

14 authors.

Fernando Sebastian-VallesDepartment of Endocrinology and Nutrition, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria Princesa (IIS-Princesa), C/Diego de Leon 62, 28006, Madrid, Spain. fernando.sebastian@estudiante.uam.es.ORCID http://orcid.org/0000-0002-4127-0483
Andrés Carlos Von Wernitz TelekiEmergency Department, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Madrid, Spain.
Maria Sara Tapia-SanchizDepartment of Endocrinology and Nutrition, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria Princesa (IIS-Princesa), C/Diego de Leon 62, 28006, Madrid, Spain.
Victor Navas-MorenoDepartment of Endocrinology and Nutrition, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria Princesa (IIS-Princesa), C/Diego de Leon 62, 28006, Madrid, Spain.
Marta Lopez-RuanoDepartment of Endocrinology and Nutrition, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria Princesa (IIS-Princesa), C/Diego de Leon 62, 28006, Madrid, Spain.
Carmen Martinez-OteroDepartment of Endocrinology and Nutrition, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria Princesa (IIS-Princesa), C/Diego de Leon 62, 28006, Madrid, Spain.
Elena Carrillo-LópezDepartment of Endocrinology and Nutrition, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria Princesa (IIS-Princesa), C/Diego de Leon 62, 28006, Madrid, Spain.
Carolina Sager-La GangaDepartment of Endocrinology and Nutrition, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria Princesa (IIS-Princesa), C/Diego de Leon 62, 28006, Madrid, Spain.
Juan José Raposo-LópezDepartment of Endocrinology and Nutrition, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria Princesa (IIS-Princesa), C/Diego de Leon 62, 28006, Madrid, Spain.
Selma AmarDepartment of Endocrinology and Nutrition, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria Princesa (IIS-Princesa), C/Diego de Leon 62, 28006, Madrid, Spain.
Sara González CastañarDepartment of Endocrinology and Nutrition, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria Princesa (IIS-Princesa), C/Diego de Leon 62, 28006, Madrid, Spain.
Jose Alfonso Arranz-MartinDepartment of Endocrinology and Nutrition, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria Princesa (IIS-Princesa), C/Diego de Leon 62, 28006, Madrid, Spain.
Carmen Del ArcoEmergency Department, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Madrid, Spain.
Mónica MarazuelaDepartment of Endocrinology and Nutrition, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria Princesa (IIS-Princesa), C/Diego de Leon 62, 28006, Madrid, Spain.

Funding

Instituto de Salud Carlos III PI19/00584Instituto de Salud Carlos III PI22/01404Instituto de Salud Carlos III PMP22/00021
6 · The paper itself

Abstract

objectiveThe objective of this study was to develop a predictive model capable of determining the need for intensive care unit (ICU) admission of patients with diabetic ketoacidosis (DKA) during their assessment in the Emergency Department.

methodsThis is an observational study of consecutive cases including all adult patients diagnosed with DKA at a tertiary hospital between 2010 and 2024. Variables from medical history, physical examination, and laboratory tests at admission were collected and studied for their association with ICU admission. The sample was divided into two randomized parts: one to build a logistic regression model and another to validate it.

resultsTwo hundred and thirty-one DKA events were included. Individuals had a mean age of 49.6 ± 19.9 years and 50.2% were male. Forty-eight point five percent of cases required ICU admission, and 30-day mortality was 4.8%. The best model to predict ICU admission included Glasgow Coma Scale (odds ratio [OR] = 0.64, p = 0.003), pH (OR = 0.0088, p = 0.005), bilirubin (OR = 0.13, p = 0.036), bicarbonate (OR = 0.0091, p = 0.013), and pH-bicarbonate interaction (OR = 3.78, p = 0.015). The model had an R

conclusionVariables associated with the severity of acidosis in patients with DKA predict the need for ICU admission better and earlier than other clinical variables.

Indexed as

Diabetic KetoacidosisIntensive Care UnitsPatient AdmissionAdultAgedFemaleGlasgow Coma ScaleHospitalizationHumansLogistic ModelsMaleMiddle AgedDiabetesDiabetic ketoacidosisEmergency departmentExternal validationICUPredictive model

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.