Ask about this productRelated genes to: Eras Blocking Peptide
- Gene:
- ERAS NIH gene
- Name:
- ES cell expressed Ras
- Previous symbol:
- HRAS2, HRASP
- Synonyms:
- -
- Chromosome:
- Xp11.23
- Locus Type:
- gene with protein product
- Date approved:
- 2001-06-22
- Date modifiied:
- 2015-08-25
Related products to: Eras Blocking Peptide
Related articles to: Eras Blocking Peptide
- - Source: PubMed
Publication date: 2026/05/06
Karamitros GeorgiosLineaweaver William CMountziaris Paschalia M - Opioid-based anesthesia in laparoscopic hysterectomy is associated with adverse effects (e.g., postoperative nausea and vomiting [PONV], ileus, cognitive impairment) that impede recovery. This study evaluates whether opioid-free anesthesia (OFA) combined with an Enhanced Recovery After Surgery (ERAS) protocol improves postoperative recovery quality. - Source: PubMed
Lv YingbingLi XiaoLiu YunyunRen ShuxiaShang RuiyuanLi Guohua - Enhanced recovery after surgery (ERAS) is a multimodal perioperative care pathway designed to improve recovery, optimize patient outcomes, and enhance overall quality and satisfaction. Successful ERAS implementation requires continuous interprofessional collaboration among anesthesiologists, surgeons, nurses, nutritionists, physiatrists, and gerontologists, extending from preadmission to discharge. This consensus document, developed by the International Union of Angiology (IUA) Youth Committee and senior experts, outlines best practices for ERAS in vascular surgery. It synthesizes current evidence and expert opinions to provide a structured clinical pathway that enhances patient care and facilitates real-world application. This document has outlined key strategies to enhance perioperative outcomes in vascular surgery patients, a population at high risk for periprocedural complications, particularly cardiac events. The authors attempted to clarify and standardize key definitions and provide general guidance on broadly applying ERAS principles based on existing literature and clinical experience. While ERAS protocols for vascular surgery have been recently published by the Society for Vascular Surgery (SVS), this document offers a complementary perspective, addressing key perioperative steps and providing specific recommendations for both open and endovascular arterial procedures. - Source: PubMed
Publication date: 2026/05/12
D'Oria MarioZlatanovic PetarRocha Neves JoaoPaulo-Castro JoãoFernandes RicardoGalego CristinaStevanovic KsenijaNovakovic TinaLoureiro LuísGiacomelli ElenaCampolmi MarcoNisi FulvioGiustiniano EnricoOliveira-Pinto JoséCebrian JavierMascia DanieleBaccellieri DomenicoTroisi NicolaPierozzi SofiaBertagna GiuliaBerchiolli RaffaellaVieira MarioReis PedroJuszynski MichalSilva EduardoMourão JoanaCruz Silva JoanaD'Andrea AlessiaScali SalvatoreTrailovic RankoPiffaretti GabrieleParaskevas Kosmas IPadaria ShoaibPitha JanPereira-Neves AntónioDias Lara RCosta-Pereira TiagoAntignani Pier L - Optimized perioperative analgesia is a critical component of Enhanced Recovery After Surgery (ERAS) pathways in robotic-assisted laparoscopic hysterectomy (RALH). In high-volume robotic programs, predictable pain control may influence early mobilization, postoperative stability, and discharge planning. This study evaluated the analgesic efficacy and safety of two low-dose intrathecal morphine (ITM) regimens (0.10 mg vs. 0.15 mg) in patients undergoing RALH. - Source: PubMed
Publication date: 2026/05/12
Russo AndreaPerelli FedericaAceto PaolaArcieri MartinaBernardini FedericaPregnolato SaraMoroni RossanaDogareschi TeresaMeroi FrancescoCostantini BarbaraGallotta ValerioFanfani FrancescoDriul LorenzaFagotti AnnaBove TizianaRestaino StefanoAntonelli MassimoVizzielli Giuseppe - The importance of supply chain management lies in its direct influence on efficiency, customer satisfaction, and competitiveness. These issues are addressed, enabling organizations to minimize expenses, enhance reliability, respond to market dynamics, and sustain growth. Therefore, it is not an easy task to assess the most appropriate supply chain management system based on multiple attributes. The theory of multi-attribute decision-making (MADM) is a valuable mechanism that simplifies the analysis of complex information involving multiple sets of alternatives and attributes. The rough t-spherical fuzzy set (Rt-SFS) framework is a fairly standard approach to aggregating fuzzy information, and the theory of Dombi operations will broaden its scope. Through the generalized version of t-norm (TNM) and t-conorm (TCNM) operations, we define the Dombi t-norm (DTNM) and Dombi t-conorm (DTCNM), which provide a versatile framework for aggregating incomplete and fuzzy information. In earlier eras, many decision-making problems were not evaluated accurately due to deficiencies in the MADM models developed at the time. But after the introduction of the Rt-SFS framework, the data aggregation process is more precise and accurate than before. The theory of Rt-SFS is the most general of all existing extension fuzzy set frameworks due to the presence of lower and upper approximation spaces. To apply MADM and Rt-SFS models, this paper introduces a new model, utilizing a novel conception of rough t-spherical fuzzy Dombi weighted averaging (Rt-SFDWA) and rough t-spherical fuzzy Dombi weighted geometric (Rt-SFDWG) operators. We have given an MADM algorithm based on the proposed theory. To examine the accuracy of management in relation to the suggested theory of supply chain management, we address a numerical problem based on real-world situations. The sensitivity analysis is conducted to test the validity of the proposed theory. To demonstrate the authenticity of the developed theory, we made comparisons with other methods available in the literature. At last, we concluded. - Source: PubMed
Publication date: 2026/05/11
Zhao XiaojieZhou YanpingSun Lu