Cluster analysis as a clinical and research tool in Behçet's syndrome.

Purpose Of Review: The purpose of this review was to comprehensively summarize recent phenotype research findings in Behçet's syndrome.

Recent Findings: Cluster analysis has recently been employed as a phenotype research tool in Behçet's syndrome. Studies reported different clustering patterns caused by biological variation and some degree of artificial heterogeneity.

Clusters in Behçet's syndrome.

Clustering is an important clinical feature of Behçet's syndrome (BS) and may have pathogenetic and therapeutic implications. Recent and previous studies on BS phenotype differ substantially in terms of methodology. Correlation matrices and factor analyses were not efficient enough to uncover clusters.

Serum estradiol level predicts acute kidney injury in medical intensive care unit patients.

Previous studies have shown that serum estradiol (E2) levels can predict mortality in intensive care unit patients. Our study investigated the predictive role of admission estradiol level on patient mortality and development of acute kidney injury in medical intensive care unit patients with a wide range of diagnoses. We conducted a prospective cohort study using serum samples from hospitalized patients in medical, cardiac, and pulmonary intensive care units at the Ege University Hospital within 6 months.