Evidence map›Paper›PMID 36465737›Full record

ArticleCureus2022

Diabetic Ketoacidosis and COVID-19: A Retrospective Observational Study.

Govind Nagdev, Gajanan Chavan, Charuta Gadkari, Gaurav Sahu

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Impact of diabetic ketoacidosis on outcomes in hospitalized diabetic patients withProceedings (Baylor University. Medical Center) · 2024
    Article
  2. Review
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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

4 authors at 1 institution in 1 country.

Govind NagdevDepartment of Emergency Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences (Deemed to be University), Wardha, IND.
Gajanan ChavanDepartment of Emergency Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences (Deemed to be University), Wardha, IND.
Charuta GadkariDepartment of Emergency Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences (Deemed to be University), Wardha, IND.
Gaurav SahuDepartment of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences (Deemed to be University), Wardha, IND.
Datta Meghe Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Diabetic ketoacidosis (DKA) is a life-threatening complication of diabetes mellitus (DM), mainly type 1 DM. DM is one of the comorbidities recognized as the predictor of the severity in COVID-19-positive patients. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) illness (COVID-19) has a bidirectional association with DM. DM is a state of chronic inflammatory condition and hyperglycemia that predisposes one to acquire an exaggerated form of COVID-19 infection. Moreover, in recent literature, it has been established that SARS-CoV-2 is capable of directly damaging beta cells of the pancreas, thereby inducing new-onset diabetes in previously non-diabetics. Hence, new-onset diabetes and severe metabolic consequences of pre-existing diabetes, such as DKA, are seen in COVID-19-positive patients. DKA in patients with COVID-19 may increase the risk of mortality and lead to poor prognosis. Methods This retrospective observational study includes 25 patients who presented to our hospital with DKA secondary to COVID-19 infection as a triggering factor. Demographic parameters, medical history, physical examination, laboratory tests including reverse transcriptase polymerase chain reaction test (RT-PCR), chest X-ray, treatment administered, clinical course, and outcomes were recorded. All data were computed and analyzed using SPSS Version 22.0 (IBM Corp., Armonk, NY, USA). Results Of the 25 cases, 14 were females, and a statistically significant difference was seen in the values of blood sugar (367 mg/dL), D-dimer, ferritin, blood urea nitrogen (BUN), and anion gap among males and females (p < 0.050). The males had higher mean values of blood sugar (367 mg/dL), BUN (60.63 mg/dL), D-dimer (1.09 mcg/mL), and ferritin (821.23 mcg/mL) than females, whereas females had a higher anion gap (20.85) than males. A negative correlation was seen between D-dimer and the following biochemical investigations in COVID-19 patients: serum bicarbonate, anion gap, chloride, BUN, creatinine, sodium, potassium, magnesium, and phosphorous. COVID-19 can present with atypical symptoms in patients with high blood sugar levels. Diabetics are more likely to experience effects on multiple organs compared to non-diabetic patients who mainly have lung involvement. Hence, a high degree of suspicion is essential to diagnose DKA early in COVID-19 patients. Conclusion These cases show that DKA can be precipitated by COVID-19 in a significant number of patients and that the presence of diabetes can also exaggerate the underlying COVID-19 infection, a bidirectional relationship. All cases were COVID-19-positive presenting with features characteristic of DKA. SARS-CoV-2 was precipitating factor of DKA. Patients with newly diagnosed diabetes or pre-existing diabetes were equally susceptible to DKA. Due to the high prevalence of both illnesses (DM and COVID-19) in our country, a high level of suspicion is required to detect DKA early and improve the outcome of COVID-19-related life-threatening hyperglycemic consequences.

Indexed as

covid-19covid and dkadiabetic ketoacidosisdiabetic ketoacidosis (dka)hyperosmolar hyperglycaemic state

Identifiers

PMID36465737
PMCPMC9709654
OpenAlexW4307864921

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.