Rare Disease · GCC (Gulf) · In-Market

GCC PNH Patient Flow Model

An estimated 2,000-3,000 Gulf patients carry a clinically significant PNH clone, but only about 400 are confirmed in national registries, and just 150-250 reach complement-inhibitor therapy. Diagnostic capacity, not drug access, is the constraint this model sizes.

8-sheet modelZero hardcoded cellsIn-MarketUpdated Q3 2026
Market United States United Kingdom France GCC (Gulf) Germany Stage
The Landscape

An estimated 2,000 to 3,000 Gulf patients carry a PNH clone, but only about 400 are confirmed and just 150 to 250 reach complement-inhibitor therapy, the gap this model has to size precisely.

The funnel narrows sharply between clonal prevalence and confirmed diagnosis in the Gulf. Consanguinity rates of 25 to 50 percent across Saudi Arabia, UAE, and Qatar are estimated to elevate true PNH prevalence 20 to 30 percent above the global average, implying a regional pool of roughly 2,000 to 3,000 clinically significant PNH clones. The Saudi National Rare Disease Registry confirms only around 400 cases, a gap this model attributes to diagnostic capacity rather than measurement error: fewer than 15 laboratories across all six GCC states offer FLAER flow cytometry, the gold-standard PNH test, and secondary hospitals that fall back to CD55/CD59-only testing carry a 20 to 30 percent false-negative rate for small clones. An estimated 40 to 50 percent of the true PNH population goes undiagnosed for more than three years, with median time to diagnosis for symptomatic patients running 2 to 4 years from first presentation.

Of the roughly 400 confirmed patients, an estimated 150 to 250 are on active complement-inhibitor therapy, with a broader treated-plus-undertreated population of 500 to 800 once informal and lapsed treatment is counted. Within that treated population, 40 to 80 patients remain transfusion-dependent despite anti-C5 therapy, extravascular haemolysis the anti-C5 class does not resolve. That population concentrates almost entirely at seven institutions across three cities: King Faisal Specialist Hospital and Research Centre in Riyadh, the region's largest published cohort at roughly 40 patients, King Abdulaziz Medical City in Riyadh and Jeddah, American Hospital Dubai, Rashid Hospital in Dubai, Sheikh Shakhbout Medical City in Abu Dhabi, and AUH in Abu Dhabi, managed by fewer than 10 haematologists in total, of whom only 5 to 8 function as genuine adoption gatekeepers for a new complement inhibitor.

2,000–3,000
estimated Gulf PNH patients with a clinically significant clone, consanguinity-adjusted 20-30% above global average
~400
confirmed PNH cases in the Saudi National Rare Disease Registry (SNRHD)
150–250
GCC patients estimated on active complement-inhibitor therapy today
40–50%
of the true GCC PNH population estimated undiagnosed for more than three years
THE FUNNEL

GCC PNH funnel — from clonal prevalence to the treated, EVH-transfusing pool

Funnel StagePopulationSource
Estimated Gulf PNH clonal prevalence2,000–3,000Consanguinity-adjusted GCC epidemiology estimate (Al-Jishi et al., Saudi Med J 2020; GCC diagnostic network survey 2021)
Registry-confirmed PNH diagnoses~400Saudi National Rare Disease Registry (SNRHD), 2022 annual report
On active complement-inhibitor therapy150–250GCC haematology society PNH case registry; KFSH&RC published case series
Transfusion-dependent despite anti-C5 therapy (EVH)40–80GCC haematology society PNH case registry

Sources: Saudi National Rare Disease Registry (SNRHD) 2022 annual report; Al-Jishi EA et al., Saudi Med J 2020; GCC rare disease diagnostic network survey 2021; Tarawah A et al., Hematol Oncol Stem Cell Ther 2019; KFSH&RC haematology department published case series 2019-2023; GCC haematology society PNH case registry; AXLRx disease-landscape and launch-readiness research.

Commercial Questions

What this model answers

Every section answers a named commercial question your team is asking, scoped to your asset.

01
How many Gulf patients actually carry a PNH clone, and why does the registry-confirmed count run so far below the epidemiology estimate?

Delivers

  • The ~400-patient SNRHD registry count against the 2,000-to-3,000-patient consanguinity-adjusted epidemiology estimate
  • why the gap is a diagnostic-capacity constraint, not a measurement error
02
How large is the treated population, and what fraction remains transfusion-dependent despite anti-C5 therapy?

Delivers

  • The 150-to-250-patient treated population and 500-to-800-patient treated-plus-undertreated pool
  • the 40-to-80-patient EVH-transfusing cohort concentrated across seven named referral institutions
03
What does the live, re-runnable funnel model actually contain, and how is every conversion step sourced?

Delivers

  • 8-sheet structure mirroring the standard AXLRx patient flow architecture
  • SNRHD, NPHC, and published GCC epidemiology-literature citation per conversion step

Custom model delivered in 72 hours.

Commission This Model
Contents

What's inside

Rare Disease · 24–32 pp · In-Market · Analyst report + Excel model + PowerPoint readout

1 The Binding Constraint 2 pp
  • Why diagnostic capacity, not drug access, sets the addressable pool across six GCC states
  • Pressure-tested against the SNRHD-versus-epidemiology reconciliation before the rest of the model is built out
2 Disease Burden (E1) — Clonal Prevalence 3 pp
  • 2,000-3,000 estimated Gulf PNH patients, consanguinity-adjusted 20-30% above global average
  • 25-50% consanguinity rates across Saudi Arabia, UAE, and Qatar as the primary prevalence driver
3 Diagnosis & Capture (E2) — Registry-Confirmed Population 4 pp
  • ~400 confirmed cases in the Saudi National Rare Disease Registry (SNRHD)
  • Fewer than 15 FLAER-capable labs across six GCC states; 40-50% of patients undiagnosed beyond three years
4 Residual Disease Eligibility (E3) — Treated and EVH Population 3 pp
  • 150-250 patients on active complement-inhibitor therapy; 500-800 treated-plus-undertreated
  • 40-80 patients transfusion-dependent despite anti-C5 therapy (EVH)
5 Market Access (E4) — NPHC/SFDA Routing 3 pp
  • NPHC coverage of eculizumab/ravulizumab under FLAER clone ≥10% plus LDH ≥2x ULN criteria
  • Iptacopan's SFDA Priority Review pathway and the GCC registration lag behind FDA/EMA
6 Sensitivity Analysis 3 pp
  • Diagnostic capacity ranked ahead of prevalence rate as the assumption most likely to move the addressable pool
  • Scenario ranges across the SNRHD-registry and consanguinity-adjusted estimates
7 Year 1·3·5 Projections 4 pp
  • Patient volume by horizon under conservative, base, and aggressive uptake scenarios
  • Revenue translation inputs
8 Client Alignment Questions 2 pp
  • The open questions your forecasting team must close before the model is finalised
  • Structured for an internal forecast-review session
Appendix and source ledger included · 45-minute analyst readout included with delivery
Formats

Included with every brief

PDF
PDF Brief
Patient Flow Brief — Complete Edition
PDF methodology brief accompanying the 8-sheet funnel model: clonal prevalence, registry-confirmed diagnosis, EVH eligibility, and NPHC/SFDA routing for GCC PNH.
XLS
Excel Model
Patient Flow Model — Excel
8-sheet editable funnel model: Strategic Context, Inputs, Model, Projections, Sensitivity, References, Market Context, QC. Zero hardcoded cells.
PPT
PowerPoint
Executive Readout — PowerPoint
12–15 slide readout deck for forecasting and launch team presentations, formatted to AXLRx design standards.
Methodology

How AXLRx builds this model

Prepared by MoatRx analysts.

Every AXLRx patient flow model is built on a five-layer funnel: population, disease burden (E1), diagnosis and specialist capture (E2), treatment and biomarker eligibility (E3), market access (E4), then Year 1-3-5 projections across three scenarios. Delivered as a live Excel workbook, not a static table, across 8 sheets with zero hardcoded cells.

GCC PNH sources: Saudi National Rare Disease Registry (SNRHD) annual reporting, published GCC consanguinity-rate and prevalence literature, the GCC rare disease diagnostic network survey, and KFSH&RC and GCC haematology society case-registry data.

  • GCC clonal prevalence estimate verified against published consanguinity-rate and rare-disease prevalence literature (Al-Jishi et al., Saudi Med J 2020)
  • Registry-confirmed diagnosis count verified against the Saudi National Rare Disease Registry (SNRHD) 2022 annual report
  • Diagnostic capacity constraint (FLAER lab count, undiagnosed share) verified against the GCC rare disease diagnostic network survey 2021
  • Treated and EVH-transfusing population sizes verified against the GCC haematology society PNH case registry and KFSH&RC published case series
FAQ

Frequently asked questions

Deliverables
What formats are included with every model?
Every commissioned Patient Flow Model includes an editable 8-sheet Excel funnel model (Strategic Context, Inputs, Model, Projections, Sensitivity, References, Market Context, QC), a PDF methodology brief, and an optional executive readout deck for forecasting and launch team presentations. A 45-minute analyst readout call is included.
Sources
How is the epidemiology evidence verified?
AXLRx builds from primary sources only: the Saudi National Rare Disease Registry, published GCC consanguinity and prevalence literature, and institutional case-registry data, not secondary market research summaries. Every conversion rate is cited to a primary source and re-runnable in the model.
Customisation
Can I tailor the cohort definition or comparator set?
Yes. The intake form captures your indication, target market, cohort definition, and comparators. A scoping call confirms scope before research starts. Commission via the intake form to start.
Get Started

Commission this model

AXLRx delivers rare disease patient flow models built for forecasting and launch teams sizing the GCC PNH opportunity. Custom model in 72 hours.

1
Submit your request

Specify your indication, market, and cohort definition.

2
Scoping call

AXLRx analyst confirms funnel scope and comparator set before building.

3
Delivery

Research-verified patient flow model in 72 hours with optional analyst readout.