Letters to the Editor

RMMJ Rambam Maimonides Medical Journal Rambam Health Care Campus 2026; 17(1): e0009. ISSN: 2076-9172
Published online 2026 January 28. doi: 10.5041/RMMJ.10568

A PaDd-informed, Assay-calibrated Diagnostic Pathway for Suspected Pulmonary Embolism in Older Adults: From Signal to Strategy

Mulavagili Vijayasimha, Ph.D.1* and Sivaji Ganesh Adusumalli, M.Sc.2

1Department of Medical Laboratory Technology (Biochemistry), University Institute of Allied Health Science, Chandigarh University, Mohali, Punjab, India
2Department of Biochemistry, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India

* To whom correspondence should be addressed. E-mail: vijaya.e19133@cumail.in | ORCID ID: 0000-0003-2038-7006

Keywords: Assay calibration, clinical decision rules, D-dimer, diagnostic pathways, geriatric medicine, PaDd algorithm, pulmonary embolism, risk stratification

To the Editor

We commend Cohen et al. for introducing a pragmatic composite—Padua score × D-dimer (PaDd)—designed to refine pulmonary embolism (PE) exclusion in adults aged ≥65 years, a population often characterized by multimorbidity, physiological heterogeneity, and atypical presentations. Their single-center retrospective cohort (2021–2023) provides a compelling, hypothesis-generating signal: combining a validated venous thromboembolism risk score with D-dimer may enhance specificity without compromising safety.1

Context of Existing Evidence
Two decades of research confirm that adaptive D-dimer strategies consistently and safely reduce imaging utilization. Age-adjusted D-dimer (AADD) and clinical-probability-adapted models are now well established.2 The two algorithms—Pulmonary Embolism Graduated D-dimer (PEGeD) and YEARS (based on three clinical criteria: signs of deep vein thrombosis, hemoptysis, and pulmonary embolism as the most likely diagnosis)—integrate pre-test probability with dynamic D-dimer thresholds, maintaining low miss-rates while significantly reducing CT pulmonary angiography (CTPA) exposure across emergency and primary-care settings.3,4

Against this backdrop, PaDd is appealing because it encodes comorbidity-driven thrombotic risk and leverages D-dimer’s high sensitivity. However, transforming PaDd from a promising signal into an implementable diagnostic policy requires attention to four critical domains.

  • Comparator-anchored validation: PaDd’s performance must be benchmarked directly against AADD, YEARS, and PEGeD using identical reference standards and 3-month venous thromboembolism outcomes. External validation of PEGeD has already revealed contexts in which 1000-ng/mL thresholds may be insufficient, particularly above age-adjusted limits—highlighting gaps a PaDd-augmented model should proactively address.3
  • Assay-specific calibration: D-dimer is not a single test, and assay heterogeneity meaningfully affects cutoff performance. Data from the ADJUST-PE study show wide inter-assay variability when AADD is applied.5 A future PaDd rule must therefore be assay-calibrated, with outcomes stratified by reagent platform to ensure reproducibility and clinical safety.
  • System-level and ethical considerations: In emergency-care systems worldwide, over-testing, under-testing, and mis-testing of suspected PE persist.6 Reducing low-value CTPA is a clinical, economic, and ethical imperative. A PaDd pathway should be embedded within a de-implementation framework supported by decision-curve analysis, cost-effectiveness modeling, and equity metrics, especially in resource-constrained settings.
  • Downstream management of subsegmental PE: Diagnostic parsimony should align with therapeutic parsimony. Structured surveillance without anticoagulation is safe for carefully selected patients with isolated subsegmental PE, yet remains underutilized.7 A PaDd-based pathway should predefine subsegmental PE management contingencies to avoid inadvertently replacing imaging overuse with treatment overuse.

Proposed Validation Roadmap
We propose a four-part roadmap to strengthen the next stage of PaDd evaluation:
  • Pre-test probability: Classification using YEARS or 4PEPS (4-Level Pulmonary Embolism Clinical Probability Score) where validated.4,8,9
  • Assay-calibrated D-dimer: Application of assay-specific AADD or clinical-probability-adapted thresholds.2,5
  • PaDd overlay for ≥65 years: Adjustment of D-dimer cutoffs upward for low comorbidity (low Padua score) and downward for high-risk profiles.1
  • Equity and safety framework: Reporting calibration accuracy, safety margins, and failure rates stratified by age, estimated glomerular filtration rate (eGFR), cancer status, and assay type.3,5 Integration of subsegmental PE management aligned with local follow-up capacity.7,8

Global Significance
If validated rigorously, assay-informed PaDd-augmented pathways could meaningfully reduce imaging in regions where scanners are scarce, contrast nephropathy is prevalent, or workforce capacity is limited. Evidence from primary-care YEARS already demonstrates feasibility; integrating PaDd for geriatric patients may further enhance diagnostic equity and safety.4

Cohen et al. have introduced a clinically relevant and geriatric-sensitive concept.1 To ensure that PaDd becomes not only innovative but implementable, future studies must be multicenter, assay-calibrated, transparent, and anchored to comparator trials. Such rigor will help deliver a diagnostic pathway that is safer, scalable, and ethically aligned with global standards.

Acknowledgement

The authors gratefully acknowledge the scholarly contributions of the scientific community cited in the manuscript.

Abbreviations

AADD age-adjusted D-dimer
CTPA computed tomography pulmonary angiography
PaDd Padua score × D-dimer
PE pulmonary embolism
PEGed Pulmonary Embolism Graduated D-dimer
YEARS algorithm based on three clinical criteria: signs of deep vein thrombosis, hemoptysis, and pulmonary embolism as the most likely diagnosis.

Footnotes

Conflict of interest: No potential conflict of interest relevant to this article was reported.

REFERENCES
1.
Cohen R, Nemet S, Fradkin MA, et al. Padua score and D-dimer for pulmonary embolism exclusion in the elderly. Rambam Maimonides Med J 2025;16: e0013. https://doi.org/10.5041/RMMJ.10548.
2.
Righini M, Robert-Ebadi H, Le Gal G. Age-adjusted and clinical probability-adapted D-dimer cutoffs to rule out pulmonary embolism. J Clin Med 2024;13: 3441. https://doi.org/10.3390/jcm13123441.
3.
Robert-Ebadi H, Roy P-M, Sanchez O, Verschuren F, Le Gal G, Righini M. External validation of the PEGeD diagnostic algorithm for suspected pulmonary embolism in an independent cohort. Blood Adv 2023;7:3946–51. https://doi.org/10.1182/bloodadvances.2022007729.
4.
van Maanen R, la Roi-Teeuw HM, Rutten FH, et al. YEARS clinical decision rule for diagnosing pulmonary embolism: a prospective diagnostic cohort study in primary care. BMJ Open 2025;15:e091543. https://doi.org/10.1136/bmjopen-2024-091543.
5.
Robert-Ebadi H, Combescure C, Bulla O, Righini M, Rontana P. Different D-dimer assays with age-adjusted cutoffs to exclude pulmonary embolism: secondary analysis of ADJUST-PE study. J Thromb Haemost 2025;23:2531–9. https://doi.org/10.1016/j.jtha.2025.04.007.
6.
Roy P-M, Girard P. Suspected pulmonary embolism in the emergency department: over-, under- and/or mis-testing? Lancet Reg Health Eur 2024;43: 100990. https://doi.org/10.1016/j.lanepe.2024.100990.
7.
Le Gal G, Kovacs MJ, Bertoletti L, et al. Risk for recurrent venous thromboembolism in patients with subsegmental pulmonary embolism managed without anticoagulation. Ann Intern Med 2022;175:29–35. https://doi.org/10.7326/M21-2981.
8.
Thomas SE, Weinberg I, Schainfeld RM, Rosenfield K, Parmar GM. Diagnosis of pulmonary embolism: a review of evidence-based approaches. J Clin Med 2024;13:3722. https://doi.org/10.3390/jcm13133722.
9.
Chiang P, Robert-Ebadi H, Perrier A, et al. Pulmonary embolism risk stratification: external validation of the 4-level clinical pretest probability score (4PEPS). Res Pract Thromb Haemost 2024;8: 102348. https://doi.org/10.1016/j.rpth.2024.102348.