PLASMIC Score: Clarification and Correct Clinical Application
Critical Clarification: PLASMIC vs. Pulmonary Embolism Scores
The PLASMIC score is NOT used for diagnosing pulmonary embolism—it is a clinical prediction tool for thrombotic thrombocytopenic purpura (TTP). The question appears to conflate PLASMIC with pulmonary embolism assessment tools. For PE diagnosis, clinicians should use validated scores including Wells criteria, Geneva score, or PERC (Pulmonary Embolism Rule-Out Criteria) 1.
Validated Clinical Decision Tools for Pulmonary Embolism
Wells Criteria
- The Wells score stratifies patients into low, intermediate, or high pretest probability categories to guide D-dimer testing and imaging decisions 1.
- Low-risk patients (Wells score <2) have approximately 3% PE prevalence, while high-risk patients (score >6) have 36% prevalence 1.
- The Wells criteria have been externally validated and perform similarly to clinician gestalt and the Geneva score 1.
Geneva Score (Revised and Simplified)
- The revised Geneva score uses 8 clinical variables including age >65 years, previous DVT/PE, recent surgery, active malignancy, unilateral leg pain, hemoptysis, heart rate categories, and lower limb findings 2.
- PE prevalence is 8% in low-probability (0-3 points), 28% in intermediate-probability (4-10 points), and 74% in high-probability (≥11 points) categories 2.
- The simplified Geneva score (SGS) assigns one point to each variable, making it easier to memorize and apply, with equivalent safety and efficiency to the original version 3.
PERC (Pulmonary Embolism Rule-Out Criteria)
- PERC should only be applied to patients already determined to have LOW pretest probability to identify those in whom testing risks outweigh PE risk 1, 4, 5.
- All 8 PERC criteria must be met: age <50 years, heart rate <100 bpm, oxygen saturation ≥95%, no unilateral leg swelling, no hemoptysis, no recent trauma/surgery, no prior VTE, and no hormone use 1, 4.
- When PERC-negative in low-risk patients, no D-dimer or imaging is needed—PE is safely excluded with only 0.3% miss rate 1, 4, 5.
Diagnostic Algorithm for Suspected PE
Step 1: Assess Pretest Probability
- Use Wells criteria, Geneva score, or experienced clinician gestalt to categorize as low, intermediate, or high probability 1.
- Clinician gestalt performs similarly to structured tools but lacks standardization, making decision tools preferable for less experienced clinicians 1.
Step 2: Apply PERC (Low Probability Only)
- If low pretest probability AND all 8 PERC criteria met: stop—no further testing needed 1, 4, 5.
- If PERC-positive (any criterion not met), proceed to D-dimer testing 4, 5.
Step 3: D-Dimer Testing
- For patients ≤50 years: use standard cutoff of <500 ng/mL to exclude PE 1.
- For patients >50 years: use age-adjusted cutoff (age × 10 ng/mL) to maintain 97% sensitivity while significantly improving specificity 1, 4.
- Age-adjusted D-dimer increases specificity from 14.7% to 35.2% in patients >80 years 4.
- Normal D-dimer (by appropriate cutoff) in low or intermediate probability patients safely excludes PE—no imaging needed 1.
Step 4: Imaging for Elevated D-Dimer or High Probability
- Elevated D-dimer or high pretest probability requires CT pulmonary angiography (CTPA) 5.
- If CTPA contraindicated, use ventilation-perfusion (V/Q) scan or lower extremity venous ultrasound 5.
Critical Pitfalls to Avoid
Common Errors in Clinical Practice
- Clinical probability scores are calculated in only 0.6% of suspected PE cases, and diagnostic algorithms are not followed in 54% of patients 6.
- Never apply PERC to intermediate or high-risk patients—this leads to missed diagnoses 4.
- Never use PERC as a screening tool for all respiratory symptoms—only apply after determining low pretest probability 1, 4.
- Don't use standard 500 ng/mL D-dimer cutoff in patients >50 years—this causes unnecessary imaging due to poor specificity 4.
- Don't apply age-adjusted D-dimer to patients <50 years—standard cutoff is appropriate for this population 4.