Welcome to Pharmaceutical Executive Daily, your quick briefing on the top news shaping the pharmaceutical and life sciences industry.
In today's Pharmaceutical Executive Daily, a new Eli Lilly study finds adults 55 and older see significantly lower healthcare costs on Zepbound, a licensing roundup covers Biohaven's more-than-$795-million deal with SK Biopharmaceuticals for its epilepsy candidate BHV-7000 and Haisco's more-than-$1.5-billion immunology licensing deal with Sentivera, and Raviv Pryluk argues that traditional clinical trial sample sizing needs a rethink based on lessons from 60 million trial simulations.
A new study finds that adults 55 and older with obesity who start Zepbound (tirzepatide) see meaningfully lower healthcare costs than matched peers not on a GLP-1 or GIP/GLP-1 therapy. Using Komodo Health's Healthcare Map database to track more than 15,800 patients, the real-world analysis finds costs run up to 15% lower at six months and up to 38% lower, or $607 per patient per month, at 12 months, driven largely by fewer hospital admissions and emergency department visits. For patients in Medicare's GLP-1 Bridge program, the 12-month savings exceed the program's $195 monthly treatment cost.
Two licensing deals highlight continued interest in ex-U.S. partnerships for late-stage neurology and preclinical immunology assets. Biohaven licenses global rights to opakalim (BHV-7000), its Kv7.2/7.3 potassium channel activator in Phase III development for focal epilepsy, to SK Biopharmaceuticals in a deal worth more than $795 million, including $400 million in cash and up to $150 million in regulatory and development milestones, plus tiered royalties. Separately, Haisco Pharmaceutical Group licenses a preclinical inhibitor for type 2 inflammatory diseases to Sentivera, a new venture backed by Population Health Partners and ARCH Venture Partners, in a deal worth more than $1.5 billion, including a $75.89 million upfront and equity payment and up to $1.46 billion in milestones.
Finally, Raviv Pryluk argues that traditional Phase II trial sample sizes amount to an educated guess dressed up as rigorous math, with teams defaulting to a single assumed effect size, often a 30% improvement over placebo, without stress-testing what happens if that assumption is wrong. Drawing on lessons from 60 million clinical trial simulations, Pryluk contends that adaptive trial-design frameworks better account for that uncertainty and preserve more asset value than conventional power calculations.
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