Infective endocarditis in patients who use IV drugs: a single centre cohort
Bibliographic record
Abstract
Abstract Background Managing endocarditis in intravenous drug use (IVDU) patients is challenging: unless patients successfully quit IVDU, the risk of re-infection is high. Clinicians often raise concerns with ethical and resource allocation principles when considering valve replacement surgery in this patient population. To help inform practice, we sought to determine the long-term outcomes of IVDU patients with endocarditis who underwent valve surgery in our center. Method After research ethics board approval, infective endocarditis cases managed surgically at our General Hospital between 2009 and 2018 were identified through the Cardiac Care Network. We reviewed patients' charts and included those with a history of IVDU in this study. We abstracted data on baseline characteristics, peri-operative course, short- and long-term outcomes. We report results using descriptive statistics. Results We identified 124 IVDU patients with surgically managed endocarditis. Mean age was 37 years (SD 11), 61% were females and 8% had redo surgery. During admission, 45% (n=56) of the patients had an embolic event: 63% pulmonary, 30% cerebral, 18% peripheral and 11% mesenteric. Causative organisms included Methicillin-Sensitive Staphylococcus Aureus (51%, n=63), Methicillin-Resistant Staphylococcus Aureus (15%, n=19), Streptococcus Viridans (2%, n=2), and others (31%, n=38). Emergency cardiac surgery was performed for 42% of patients (n=52). Most patients (84%) had single valve intervention: 53% tricuspid, 18% aortic and 13% mitral. Double valve interventions occurred in 15% (n=18). Overall, bioprosthetic replacement was most commonly chosen (79%, n=98). In-hospital mortality was 7% (n=8). Median length of stay in hospital was 13 days (IQR 8,21) and ICU 2 days (IQR 1,6). Mortality at longest available follow-up was 24% (n=30), with a median follow-up of 129 days (IQR 15,416). Valve reintervention rate was 11% (n=13) and readmission rate was 14% (n=17) at a median of 275 days (IQR 54,502). Conclusion Despite their critical condition, IVDU patients with endocarditis have good intra-hospital outcomes. Challenges occur after hospital discharge with loss of follow-up and high short-term mortality. IVDU relapse likely accounts for some of these issues. In-hospital and community comprehensive addiction management may improve these patients' outcomes beyond the surgical procedure. Annual rate 2009–2018 Funding Acknowledgement Type of funding source: None
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".