Prognostic value of immature platelet fraction dynamics in cardiogenic shock

S. König (Freiburg im Breisgau)1, A. Büllesbach (Freiburg im Breisgau)1, P. Albrecht (Freiburg im Breisgau)1, A. Kille (Bad Krozingen)2, S. Ewen (Villingen-Schwenningen)3, T. Wengenmayer (Freiburg im Breisgau)1, R. Schmitz (Bad Krozingen)2, T. Keller (Bad Nauheim)4, D. Westermann (Freiburg im Breisgau)5, A. Heidenreich (Freiburg im Breisgau)1, L. Bacmeister (Freiburg im Breisgau)1
1Universitäts-Herzzentrum Freiburg - Bad Krozingen Klinik für Kardiologie und Angiologie Freiburg im Breisgau, Deutschland; 2Universitäts-Herzzentrum Freiburg - Bad Krozingen Klinik für Kardiologie und Angiologie Bad Krozingen, Deutschland; 3Schwarzwald-Baar Klinikum Klinik für Innere Medizin III: Kardiologie Villingen-Schwenningen, Deutschland; 4Justus-Liebig-Universität Giessen Medizinische Klinik I, Kardiologie Bad Nauheim, Deutschland; 5Universitäts-Herzzentrum Freiburg - Bad Krozingen Innere Medizin III, Kardiologie und Angiologie Freiburg im Breisgau, Deutschland

Background: 
The Immature Platelet Fraction (IPF) reflects bone-marrow thrombopoietic activity. Its prognostic relevance in cardiogenic shock (CS) — and whether it adds information beyond the total platelet count — is unclear.

Methods:
In the prospective multicentre MIRACLE registry (all-cause CS, SCAI B–E), IPF was measured on days 1, 3 and 5; 265 patients with a day-1 value formed the analysis cohort. The primary endpoint was 30-day mortality, the secondary endpoint severe bleeding (SHARC ≥ 3b). Cox and time-varying Cox models (IPF % updated D1→D3→D5; robust SE) were adjusted for age, SCAI stage, first lactate, number of devices and Charlson Comorbidity Index; a sensitivity analysis mutually adjusted IPF and total platelet count. Death as a competing event for bleeding was modelled by Fine-Gray and cause-specific regression.

Results: 
Of 265 patients (median age 67.5 years, 28.3 % female, 45.7 % SCAI ≥ D), 92 (34.7 %) died within 30 days and 40 (15.1 %) had severe bleeding; deaths occurred early (median 2.8 days, 76 % within 7 days). Higher IPF was modestly and consistently associated with 30-day mortality across baseline (IPF % adjusted HR 1.22 per SD, 95 % CI 0.99–1.51; p = 0.065) and time-varying models (adjusted HR 1.29, 1.03–1.63; p = 0.027; crude HR 1.35, 1.10–1.66; p = 0.004). This association persisted after adjustment for the total platelet count (IPF absolute HR 1.26 per SD, 0.99–1.60; p = 0.055), whereas the platelet count was not independently prognostic in this cohort (HR 1.02; p = 0.88). IPF was not associated with severe bleeding, including after accounting for the competing risk of death (Fine-Gray subdistribution HR 0.99, 0.67–1.44; p = 0.94). On a day-1 phenotype combining IPF % and platelet count, the "elevated IPF % plus thrombocytopenia" group had the highest mortality (56.5 %; crude HR 2.16, 1.20–3.89; p = 0.010; attenuated to HR 1.70, 0.91–3.17 after adjustment), whereas severe bleeding clustered in the thrombocytopenic groups and was highest with thrombocytopenia but normal IPF % (40.9 %).

Conclusion: 
In this prospective multicentre CS cohort, a higher IPF showed a modest association with early 30-day mortality that was independent of the total platelet count and consistent between single and serial measurements, but was unrelated to bleeding. The combination of elevated IPF % and thrombocytopenia marked higher crude — though not independent — risk. As IPF can be measured on automated haematology analysers, it is a readily obtainable candidate marker; its incremental value over established risk scores remains to be demonstrated and warrants external validation.