Ethnopharmacological studies are growing in number in Europe; however, research on medicinal plants in Lithuania focusing on dermatological and cosmetic applications is still scarce. This study aimed to evaluate ethnobotanical heritage related to the treatment of skin diseases and cosmetic use in Northern Lithuania and to assess the compliance of traditional medicinal plant use indications with European Union herbal monographs. This study involved 36 participants aged 40 to 89. Data were collected using semi-structured interviews. This study documented 76 plant species belonging to 41 botanical families for the treatment of skin diseases and cosmetic purposes. This knowledge was primarily transmitted through family traditions, with 59.2% of respondents reporting that they acquired this knowledge from parents or grandparents. The medicinal plants most frequently mentioned for the treatment of skin diseases and cosmetic purposes were Aloe vera (L.) Burm. f. and Plantago major L. The most popular preparation method was topical application (32.4%) for treating skin diseases and decoction (38.5%) for cosmetic purposes. Plant-based raw materials were most often used to treat skin wounds (24.5%), as well as skin inflammation (16.3%) and burns (12.1%). For cosmetic purposes, the most frequently mentioned indication was dry skin (23.6% of plants). Of the 76 recorded plant species, 41 (53.9%) were not included in herbal monographs, and only 15 species (42.86%) were used in accordance with approved medical indications for skin diseases. Many plant species are used without European Medicines Agency-approved medical indications, relying solely on traditional and folk knowledge.

Objectives: This study aims to evaluate whether changes in perfusion index (PI) after the first deflation of the blood pressure cuff during remote ischemic conditioning (RIC) are associated with passive leg raising (PLR)-induced changes in stroke volume. In addition, we compared PI changes after cuff deflation during RIC between critically ill patients and healthy controls. Methods: This prospective, single-center study was conducted in a mixed ICU at a tertiary teaching hospital. Patients aged >18 years admitted to the ICU, monitored using calibrated pulse contour analysis, and scheduled for a PLR test as decided by the attending physicians were included. The PI was measured after blood pressure cuff deflations during RIC (3 cycles of brachial cuff inflation to 200 mmHg for 5 min, followed by instantaneous deflation to 0 mmHg for another 5 min) in the supine position after PLR. Preload responsiveness was defined as a ≥10% increase in the stroke volume index (SVI) during PLR. Data were compared with a healthy control group. Results: Thirty-three patients were included (median age 62; 45% in shock; 55% mechanically ventilated). When comparing critically ill patients with healthy volunteers, the maximum PI change (dPImax) and the time to reach it were higher in critically ill patients after the first and second cuff deflations (p < 0.05). However, after the third deflation, the difference was no longer significant. Following the first deflation, dPImax was significantly correlated with SVI changes during PLR (r = 0.63, p < 0.001). After the cuff was first deflated, we detected a PI cutoff with a positive SVI response (≥10%) during PLR, with a sensitivity of 64% and a specificity of 94% (area under the receiver operating characteristic curve 0.752; 95% CI, 0.564–0.940; p = 0.008). Conclusions: The maximum change in perfusion index following brachial blood pressure cuff deflation after five minutes of inflation may serve as a promising noninvasive bedside indicator of preload responsiveness in critically ill patients. Additionally, the observed normalization of PI kinetics during RIC suggests possible acute modulation of vascular reactivity, though further research is needed to confirm an association between PI changes and endothelial function.