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Record W4308199141 · doi:10.25259/ijms_318_2021

To screen for obstructive sleep apnea in patients with type 2 diabetes mellitus and its association with microvascular complications

2022· article· en· W4308199141 on OpenAlexaboutno aff
Y. S. Aashik, Chaitra Rao, R. Madhumati, Bharath Dushyanth

Bibliographic record

VenueIndian Journal of Medical Sciences · 2022
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDiabetic retinopathyDiabetes mellitusRetinopathyInternal medicineCreatinineObstructive sleep apneaType 2 Diabetes MellitusSleep apneaRisk factorPeripheral neuropathyDiabetic neuropathySurgeryEndocrinology

Abstract

fetched live from OpenAlex

Objectives: The objectives of this study were to find the association between obstructive sleep apnea (OSA) and microvascualr complications in patients with type 2 diabetes mellitus (T2DM). Material and Methods: This study was conducted at Bangalore Medical College. One hundred patients fulfilling the inclusion criteria were enrolled for the study. The study group included outpatients and inpatients with T2DM in Victoria Hospital and Bowring and Lady Curzon Hospital. The data were collected according to the pro forma in terms of history, clinical examination, and the necessary investigations (HbA1c and urine microalbumincreatinine ratio). To screen for OSA, STOP-BANG questionnaire was used. To assess microvascular complications, patients were subjected to fundoscopy, urine microalbumin-creatinine ratio, and Toronto clinical neuropathy scoring system. Based on STOP-BANG score, patients were divided into three groups: Low risk (0–2), intermediate risk (3–4), and high risk (5–8) for OSA. Mean values for the duration of diabetes, HbA1c, urine microalbumincreatinine ratio, and Toronto neuropathy score were compared in each group using ANOVA variance analysis. To find the association between OSA and diabetic retinopathy, Kruskal–Wallis test was used. Results: Based on STOP-BANG score, 16% of patients were in the low-risk group, 68% in the intermediate-risk group, and 16% in the high-risk group. There was a significant difference in Toronto neuropathy scores, urine microalbumin-creatinine ratio, and diabetic retinopathy between low-, intermediate-, and high-risk OSA groups indicating higher neuropathy scores, higher values of UMCR, and more advanced diabetic retinopathy among the high-risk group as compared to other two groups. The association between STOP-BANG scores and UMCR, Toronto neuropathy score, and diabetic retinopathy was statistically significant with P values of 0.002, 0.029, and 0.03, respectively. Conclusion: All diabetic patients should be screened for OSA which is simple and inexpensive. Those who fall in intermediate-risk and high-risk categories showed more advanced microvascular complications. They should be subjected to polysomnography and treated for OSA for better glycemic control and to delay the progression of microvascular complications.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.204

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.289
Teacher spread0.272 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2022
Admission routes1
Has abstractyes

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