Literature DB >> 30092941

What Can Regional Anesthesiology and Acute Pain Medicine Learn from "Big Data"?

Nabil M Elkassabany1, Stavros G Memtsoudis2, Edward R Mariano3.   

Abstract

Demonstrating value added to patients' experience through regional anesthesiology and acute pain medicine is critical. Evidence supporting improved outcomes can be derived from prospective studies or retrospective cohort studies. Population-based studies relying on existing clinical and administrative databases are helpful when an outcome is rare and detecting a change would require studying large numbers of patients. This article discusses the effect of regional anesthesiology and acute pain medicine interventions on mortality and morbidity, infection rate, cancer recurrence, inpatient falls, local anesthetic systemic toxicity, persistent postsurgical pain, and health care costs.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Anesthesia technique; Big data; Mortality; Outcomes; Regional anesthesia

Mesh:

Year:  2018        PMID: 30092941     DOI: 10.1016/j.anclin.2018.04.003

Source DB:  PubMed          Journal:  Anesthesiol Clin        ISSN: 1932-2275


  2 in total

Review 1.  Developing an enhanced recovery after surgery program for oncology patients who undergo hip or knee reconstruction surgery.

Authors:  Maria Bourazani; Eleni Asimakopoulou; Chrysseida Magklari; Nikolaos Fyrfiris; Ioannis Tsirikas; Giakoumis Diakoumis; Martha Kelesi; Georgia Fasoi; Theodoros Kormas; Gunhild Lefaki
Journal:  World J Orthop       Date:  2021-06-18

2.  Five-year follow-up to assess long-term sustainability of changing clinical practice regarding anesthesia and regional analgesia for lower extremity arthroplasty.

Authors:  Mallika Tamboli; Jody C Leng; Oluwatobi O Hunter; Alex Kou; Seshadri C Mudumbai; Stavros G Memtsoudis; Tessa L Walters; Gregory Milo Lochbaum; Edward R Mariano
Journal:  Korean J Anesthesiol       Date:  2019-12-23
  2 in total

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