Pulse Pressure and Upstroke Time Are Useful Parameters for the Diagnosis of Peripheral Artery Disease in Patients With Normal Ankle Brachial Index
Bibliographic record
Abstract
BACKGROUND: Some peripheral artery disease (PAD) patients have normal ankle brachial index (ABI) (0.9 - 1.4), although ABI is a useful parameter for the diagnosis of PAD. We investigated whether other parameters of ABI report sheet are useful to detect these patients. METHODS: We initially enrolled 3,912 patients (7,824 limbs) who underwent ABI for the first time. Subjects who have normal ABI were divided into the PAD group (n = 136) and the non-PAD group (n = 240) by lower extremity ultrasonography. We investigated blood pressures (BP) (systolic (SBP), diastolic (DBP), mean (mBP) and pulse pressure (PP)), heart rate, upstroke time (UT), and %mean arterial pressure (%MAP). RESULTS: SBP, mBP, PP, UT, and %MAP in the PAD group were significantly higher. A multivariate analysis showed that mBP, DBP, PP, UT and %MAP were independently associated with the presence of PAD (mBP: odds ratio (OR) 2.30, 95% confidence interval (CI) 1.22 - 4.37, P = 0.010; DBP: OR 0.52, 95% CI 0.28 - 0.97, P = 0.039; PP: OR 1.30, 95% CI 0.69 - 2.46, P = 0.041; UT: OR 3.40, 95% CI 2.03 - 5.83, P < 0.001; %MAP: OR 1.77, 95% CI 1.05 - 2.98, P = 0.031). Maximal area under the curve (AUC) of BPs for associating PAD was PP. The cut-off value of PP was 53.0 mm Hg (sensitivity 0.500, specificity 0.721, AUC 0.628, 95% CI 0.569 - 0.687). CONCLUSIONS: The present study demonstrated that BPs are associated with PAD in patients with normal ABI. The measurement of BPs could provide additional information for the diagnosis of PAD.
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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 | 0.004 |
| 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 | 0.001 | 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".