Risk Factors, Incidence, and Morbidity Associated With Obstetric Clostridium difficile Infection
Bibliographic record
Abstract
OBJECTIVE: To evaluate the risk factors, incidence, and morbidity associated with the diagnosis of obstetric Clostridium difficile infection. METHODS: We performed a retrospective cohort study on women admitted for delivery using the Healthcare Cost and Utilization Project Nationwide Inpatient Sample from the United States. The delivery admission records of pregnant women were reviewed between 1999 and 2013. After adjusting for demographic and clinical characteristics, we assessed risk factors for the diagnosis of C difficile infection using unconditional logistic regression. RESULTS: Of the total 13,881,592 births in our cohort, we identified 2,757 (0.02%) admissions for delivery complicated by a diagnosis of C difficile infection. During the study period, the rate of C difficile infection diagnoses among women hospitalized for delivery doubled from 15 (95% CI 11.87-16.96) to 30 (24.42-31.78) per 100,000 deliveries per year (P<.001). Risk factors associated with the diagnosis of C difficile infection included age older than 35 years, multiple gestations, smoking, Crohn's disease, ulcerative colitis, long-term antibiotic use, pneumonia, pyelonephritis as well as cesarean or perineal wound infection. The diagnosis of C difficile infection in pregnancy was associated with a significant increase in maternal death (8.0/1,000 vs 0.1/1,000, adjusted odds ratio [OR] 56.8, 95% CI 35.8-90.1). Furthermore, there was an increase in sepsis (46.4/1,000 vs 0.6/1,000, adjusted OR 59.1, 95% CI 48.8-71.6), paralytic ileus (58.0/1,000 vs 1.5/1,000, adjusted OR 33.1, 95% CI 27.5-39.8), venous thromboembolism (38.4/1,000 vs 3.1/1,000, adjusted OR 8.1, 95% CI 6.5-10.2), and hospital stays greater than 2 weeks (173.0/1,000 vs 6.5,1,000, adjusted OR 24.3, 95% CI 21.6-27.4) among pregnant women with C difficile infection. CONCLUSION: The diagnosis of C difficile infections in pregnancy has increased over the past 15 years and this diagnosis is associated with significant maternal morbidity and mortality.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".