Mortality Trends and Causes of Death in Myotonic Dystrophy Type 1 Patients From the UK Clinical Practice Research Datalink
Bibliographic record
Abstract
INTRODUCTION/AIM: Patients with myotonic dystrophy type1 (DM1) have reduced lifespan. This study aimed to quantify mortality risks, and evaluate causes and time trends in DM1. METHODS: We identified 1021 DM1 patients and 15,104 matched DM1-free controls from the United Kingdom (UK) Clinical Practice Research Datalink. We used Cox proportional hazards regression models to assess differences in all-cause or cause-specific mortality between DM1 patients and matched controls, and computed standardized mortality ratios (SMRs) for comparisons of DM1 patients with the UK general population. RESULTS: DM1 patients were at higher risk of death compared with matched DM1-free controls (hazard ratio [HR] = 2.9, 95% confidence interval [CI] = 2.5-3.4) or the general UK population (SMR = 8.1, 95% CI = 7.3-9.1). The excess risk was primarily attributed to deaths from respiratory failure (HR = 26.7, p < 0.001), aspiration pneumonia (HR = 15.8, p < 0.001), arrythmia, and conduction defects (HR = 15.7, p < 0.001). No mortality risk difference between DM1 patients and matched DM1-free cohort was noted for all cancers combined (p = 0.52). No significant calendar time-related changes in overall survival were seen for DM1 patients (p trend = 0.19). In mortality cause-specific analysis, and compared with patients diagnosed before 1993, death from cancer was on the rise (HR = 2.35, and 5.82 for patients diagnosed 1993-2003, and 2004-2016). DISCUSSION: Most DM1 patients died of known disease complications. This highlights the need for integrated clinical approaches with more careful and frequent monitoring.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".