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Record W2805389980 · doi:10.7759/cureus.2766

Does Subclinical Hypothyroidism Affect Hospitalization Outcomes and Mortality in Congestive Cardiac Failure Patients?

2018· article· en· W2805389980 on OpenAlexaff
Shanan Mahal, Sorabh Datta, Virendrasinh Ravat, Priya Patel, Bipin Saroha, Rikinkumar S. Patel

Bibliographic record

VenueCureus · 2018
Typearticle
Languageen
FieldMedicine
TopicThyroid Disorders and Treatments
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsMedicineHeart failureSubclinical infectionInternal medicineCardiologyAffect (linguistics)

Abstract

fetched live from OpenAlex

Objective This study aimed to determine the differences in hospitalization outcomes among patients admitted for congestive cardiac failure (CCF) with underlying subclinical hypothyroidism (SCH). Methods This retrospective case-control study used data from the nationwide inpatient sample (NIS) for the years 2012-2014. We identified cases with CCF as the primary diagnosis and SCH as the secondary diagnosis using validated ICD-9-CM codes and controls with CCF only. The differences in hospitalization outcomes and hospital characteristics were quantified using the multinomial logistic regression model (adjusted odds ratio (aOR)). Results A total of 143,735 CCF patients were enrolled in this study, and 73,440 cases had IH. About 31.8% of SCH patients were hospitalized for more than four days (median) compared to 44.7% patients without SCH (P < .001). The median hospitalization charges per admission for CCF was $20,312. CCF patients with SCH had lower odds of longer hospitalization (aOR = .709, 95% CI .660-.762, P < .001) and higher hospitalization charges (aOR = .783, 95% CI .728-.841, P < .001) compared to CCF patients without SCH. CCF patients with SCH had two times higher odds of minor morbidity (aOR = 2.276; 95% CI 2.105-2.462; P < .001) but lower odds of major morbidity (aOR = .783; 95% CI .728-.841; P < .001). Inpatient mortality with SCH patients (2%) compared to 3.6% patients without SCH (P < .001). CCF patients with SCH had lower odds of in-hospital mortality (aOR = .547; 95% CI .496-.604; P < .001). CCF patients with SCH had higher odds of being seen in rural non-teaching hospitals (aOR = 1.696; 95% CI 1.572-1.831; P < .001). Also, CCF patients with SCH had the highest likelihood of presence in the western region of the United States (aOR = 149.924; 95% CI 110.497-203.419; P < .001) followed by the southern region (aOR = 31.431; 95% CI 26.066-37.900; P < .001). Conclusions Among CCF with SCH patients during hospitalization, we observed a variation in hospitalization outcomes, including inpatient length of stay and cost, morbidity, and in-hospital mortality. We found no significant increase in mortality and major morbidity in CCF patients with SCH. There were differences in the hospital characteristics between CCF patients with and without SCH. Thus, hospital bed size, location, and teaching status act as predictors for a co-diagnosis of SCH in CCF. Further research is needed to guide the development of clinical care models for targeting early diagnosis and treatment to determine whether thyroid hormone replacement would be beneficial for CCF patients with SCH and improve quality of care in these patients.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.303
Teacher spread0.290 · 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 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".

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Citations4
Published2018
Admission routes1
Has abstractyes

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