Microvascular disease, peripheral artery disease, and the risk of lower limb amputation
Bibliographic record
Abstract
Abstract Background Peripheral artery disease (PAD) is the leading cause of non-traumatic lower limb amputation. Microvascular disease (peripheral neuropathy, nephropathy, or retinopathy) increases the risk of lower limb amputation in patients with established PAD. Purpose We estimated risk of lower limb amputation associated with microvascular disease and PAD in a Danish cohort. Methods We conducted a population-based cohort study of every person living in Western Denmark aged 50–75 years on January 1, 2012 and followed them for 7 years. People with previous lower limb amputation were excluded. People were stratified by the presence of microvascular disease (peripheral neuropathy, nephropathy, or retinopathy) and PAD (peripheral atherosclerosis including intermittent claudication, or previous lower limb revascularization). We estimated the 7-year cumulative incidence and hazard ratio (HR) of lower limb amputation using individuals with neither microvascular disease nor PAD as reference. We also provide a sex-specific analyses and estimated the population attributable fraction of amputation associated with male sex. Results We included 933,597 individuals, of whom 16,007 had microvascular disease, 18,400 had PAD, and 1,789 had both microvascular disease and PAD. Patients with either microvascular disease (3.7%) or PAD (3.9%) had similar unadjusted 7-year risks of lower limb amputation (Figure). Microvascular disease (adjusted HR 3.21, 95% CI 2.86–3.59) and PAD (adjusted HR 7.37, 95% CI 6.68–8.14) increased the risk of lower limb amputation separately in adjusted analysis. Individuals with both microvascular disease and PAD had the highest risk of amputation (adjusted HR 11.82, 95% CI 10.11–13.80). While the relative impact of microvascular disease and PAD were similar in men and women, men had increased risk of amputation compared to women, in absolute terms. The population attributable fraction of amputations associated with male sex was 31%. Conclusion Microvascular disease and PAD are independently associated with a 3-fold and 7-fold increase of amputation rate, respectively. Combined, microvascular disease and PAD had an additive effect constituting a 12-fold amputation risk. Amputation risk was higher in men than in women, with 3 in 10 lower limb amputations in Western Denmark attributable to male sex. Figure 1 Funding Acknowledgement Type of funding source: Public hospital(s). Main funding source(s): Department of Cardiology, Aarhus University Hospital
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".