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Record W4406668599 · doi:10.14740/cr1749

Heart Failure and Sepsis-Related Mortality Trends in the United States, 1999 - 2019: An Analysis of Gender, Race/Ethnicity, and Regional Disparities

2025· article· en· W4406668599 on OpenAlexvenueno aff
Olivia Foley, Ali Bin Abdul Jabbar, Kimberly K. Levine, A. M. Elshaer, Abubakar Tauseef, Ahmed Aboeata

Bibliographic record

VenueCardiology Research · 2025
Typearticle
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsnot available
FundersCreighton University
KeywordsRace (biology)MedicineEthnic groupHeart failureCardiologyInternal medicineDemographySepsisPolitical science

Abstract

fetched live from OpenAlex

Background: Heart failure (HF) and sepsis are significant causes of disease burden and mortality among the elderly population of the USA. HF causes fluid overload, which complicates the treatment approach when patients develop sepsis necessitating fluid resuscitation. While individual disease states have been studied extensively, the trends in mortality for concurrent sepsis and HF are not well known. Methods: Mortality trends due to sepsis and HF in individuals aged 65 and older in the USA from 1999 to 2019 were analyzed using the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) database. Differences in age-adjusted mortality rate (AAMR) and average annual percent change (AAPC) over the past two decades based on gender, race, region, and place of death were examined. Results: Between 1999 and 2019, there were a total of 5,887,799 deaths related to HF, 2,584,523 deaths related to sepsis, and 250,115 deaths related to both HF and sepsis. There was also a decrease in AAMR for HF-related (AAPC -0.80%) and sepsis-related (AAPC -0.28) deaths but an increase in combined HF and sepsis-related AAMR (AAPC 1.06%). Men had consistently higher AAMRs compared to women and a greater increase in mortality (AAPC in men 1.53% vs. women 0.56%). African American patients had a higher AAMR than White patients throughout the study period, though the difference narrowed. African Americans saw a decrease in overall HF and sepsis-related AAMR from 48.90 to 40.56 (AAPC -0.83), whereas AAMR for the White population increased from 27.26 to 33.81 (AAPC 1.37). Regionally, the Northeast had the highest AAMR in 1999 (32.32) but decreased to the lowest AAMR by 2019 (30.77). Totally, 203,368 (81.31%) of all deaths related to HF and sepsis were in medical facilities, 18,430 (7.37%) were in home/hospice facilities, and 24,713 (9.88%) in nursing homes. Conclusions: HF and sepsis-related mortality in the elderly population increased over the past two decades, with men and African Americans at disproportionately higher risk.

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)0.002
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 score0.045
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.199
GPT teacher head0.466
Teacher spread0.267 · 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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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