ArticleInternational journal of impotence research2026
Data-Driven symptom clustering identifies four potential phenotypes of self-reported postorgasmic illness syndrome: findings from a large Chinese online survey.
Article in International journal of impotence research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Postorgasmic illness syndrome (POIS) is a rare and heterogeneous condition characterized by local and/or systemic symptoms following ejaculation. However, whether distinct clinical phenotypes exist remains unclear. We aimed to identify symptom-dominant phenotypes among men with self-reported POIS-like symptoms and to explore variations in the history of allergic diseases across the resulting phenotypes. An online cross-sectional survey was conducted via social media from December 2020 to August 2021 using the WenJuanXing web application. A two-step cluster analysis was performed using 26 variables from POIS-related symptoms and history of allergic diseases. A total of 2,443 men completed the survey, including 770 with self-reported POIS-like symptoms. A four-cluster solution (BIC = 39,404.98; ratio of distance measures = 1.42; ratio of BIC changes = 0.34) was selected. Cluster 1 represented the generalized type (81 patients, 10.5%) characterized by longer spontaneous recovery time with widespread disorders, including mental, flu-like, head, muscle symptoms and mostly reported atopic status. Cluster 2 represented the neuropsychiatric type (235 patients, 30.5%) comprised subjects with fewer atopic symptoms and predominantly mental symptoms, particularly concentration and memory difficulties. Cluster 3, or the nasal type (185 patients, 24.0%) mainly showed atopic and nasal symptoms, while cluster 4, or the oligosymptomatic type (269 patients, 34.9%) had fewer symptoms, faster symptom onset after ejaculation, shorter spontaneous recovery time, and fewer atopic symptoms. All 26 variables included in the clustering model differed significantly across clusters (P <0.001). Recruitment via social media may have introduced selection bias, potentially limiting the generalizability of these findings. The four identified phenotypes reflect the clinical variability of POIS and offer a preliminary framework for future phenotype-based investigations.
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