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Record W4414660668 · doi:10.7759/cureus.93554

Executive Dysfunction After COVID-19 in an Older Adult With Type 1 Diabetes: A Case of Insulin Pump Discontinuation

2025· article· en· W4414660668 on OpenAlexaboutno aff
Yuya Asano, Takahiro Kamihara, Takuya Omura

Bibliographic record

VenueCureus · 2025
Typearticle
Languageen
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsnot available
FundersNational Center for Geriatrics and Gerontology
KeywordsInsulin pumpDiscontinuationType 1 diabetesInsulinGlycemicDiabetes mellitusDiabetic ketoacidosisPostprandialBolus (digestion)

Abstract

fetched live from OpenAlex

Continuous subcutaneous insulin infusion (CSII) and multiple daily injections (MDIs) are the two main approaches to intensive insulin therapy. CSII provides flexible basal-bolus adjustments and can improve glycemic variability, but it requires preserved executive function for tasks such as infusion set replacements, bolus programming, and troubleshooting in response to pump alarms. In contrast, MDI involves more injections but is simpler to operate and less cognitively demanding. Advanced diabetes technologies such as CSII require more than intact cognition; they rely on real-world executive function and consistent self-management, especially in older adults with type 1 diabetes mellitus (T1DM). Even common infections, such as COVID-19, can unmask functional vulnerabilities that compromise the safety of such therapies. Post-infectious changes in attention, decision-making, or nutrition may precede detectable impairments on tools like the Montreal Cognitive Assessment (MoCA). Here, we describe the case of a 73-year-old woman with a 28-year history of T1DM who had been independently and stably using CSII. Following a COVID-19 infection, she developed fatigue, dysgeusia, and appetite loss. Despite a high MoCA-J score (29/30), she experienced recurrent episodes of diabetic ketoacidosis (DKA). Direct pump log review was not possible. Missed mealtime boluses were inferred from preadmission self-monitoring of blood glucose patterns showing frequent missing entries and, when available, marked postprandial hyperglycemia, together with the patient's inconsistent recollection of bolus administration. Although these indirect findings could not definitively prove pump errors, they suggested impaired executive function. Laboratory testing showed zinc deficiency (63 µg/dL), and supplementation improved taste and oral intake. Due to persistent pump-related errors and reduced confidence, her insulin regimen was transitioned to MDIs, resulting in stable glycemic control without further DKA, although she required one additional hospitalization for post-COVID-19 anorexia and nutritional decline over a three-month follow-up period. In older adults with T1DM, even seemingly mild illnesses such as COVID-19 can trigger disproportionate functional decline. Clinicians should recognize that executive dysfunction may precede cognitive test abnormalities. Incorporating functional assessments and simplifying therapy when indicated may help prevent severe outcomes such as DKA in this vulnerable population.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.302
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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