Research overview
The text below is the source article’s original abstract under a verified reuse license. cc by
Serotonin syndrome (SS) is a potentially life-threatening condition resulting from excessive serotonergic activity in the central nervous system. We present a fatal case of SS complicated by multiple organ failure in a 72-year-old patient with Parkinson's disease following the sequential administration of two selective serotonin reuptake inhibitors (sertraline and escitalopram) while on a stable regimen of the monoamine oxidase-B inhibitor rasagiline. Pharmacogenomic testing revealed a homozygous CYP2D6*10/*10 genotype, conferring an intermediate metabolizer phenotype, which is postulated to have contributed to serotonergic drug accumulation and resultant toxicity in combination with other significant pharmacodynamic and pharmacokinetic interactions. This case was distinguished by three key features: first, the sequential serotonergic challenge from two different SSRIs in combination with rasagiline; second, the unprecedented severity of clinical manifestations, including rhabdomyolysis, acute hepatic and renal injury, and a disseminated intravascular coagulation-like state; and finally, the pharmacogenetic findings that provide a partial mechanistic explanation for the extreme drug sensitivity. This report underscores the critical importance of pre-emptive pharmacogenomic screening in patients receiving complex polypharmacy, particularly when combining drugs with serotonergic properties. It also serves as a critical warning that even selective MAO-B inhibitors can precipitate life-threatening interactions with SSRIs in genetically susceptible individuals, thereby informing more stringent personalized therapeutic strategies.
Scientific assessment
Research question
Assess the question within the original study’s scope.
Methods & sample
Check the source article for study design and sample details.
Key findings
An editorially approved findings summary is not yet published for this record.
Limitations
Generalizability, bias and clinical meaning require separate assessment.
Methods, samples and clinical conclusions are not inferred from bibliographic metadata.