Trends and Disparities in Outcomes of <i>Clostridioides difficile</i> Infection Hospitalizations in the United States: A Ten-Year Joinpoint Trend Analysis
Bibliographic record
Abstract
Background: infection (CDI) is the most frequently reported nosocomial infection. This study aimed to describe epidemiological trends, sex, race, and economic disparities in clinical and mortality outcomes among CDI hospitalizations over a decade. Methods: We queried Nationwide Inpatient Sample databases from 2010 to 2019, identified hospitalizations with CDI, and obtained the incidence and admission rate of CDI per 100,000 adult hospitalizations each year. We analyzed trends in mortality rate, mean length of hospital stay (LOS), and mean total hospital charge (THC). We highlighted disparities in outcomes stratified by sex, race, and mean household income quartile. Results: Of the 305 million hospitalizations included in our study, over 3.3 million were complicated by CDI, with 1.01 million principal admissions for CDI. Among primary admissions for CDI, the mortality rate decreased from 3.2% in 2010 to 1.4% in 2019. Mean LOS reduced from 6.6 to 5.3 days while mean THC increased from US$40,593 to US$42,934 between 2010 and 2019. Females had a 21% decrease in adjusted odds of mortality compared to males (all P-trends < 0.001). Middle-aged and elderly patients had aOR of 4.96 and 14.74 respectively for mortality when compared to young adults (P < 0.001). Mortality rates showed a steady decline among Whites over the study period. Mean LOS trends were similar across racial subgroups. Conclusions: Outcomes of CDI hospitalizations improved over the studied decade. Older age, male sex, and being from a minority racial group were associated with worse clinical and mortality outcomes. Further studies are needed to elucidate the reasons for these findings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".