Literature DB >> 32430788

Renal resistive index as a predictor of postoperative complications in liver resection surgery. Observational study.

Enrico Giustiniano1, Fabio Procopio2,3, Emanuela Morenghi2,4, Yari Gollo2, Laura Rocchi2, Nadia Ruggieri2, Valeria Lascari2, Guido Torzilli2,3, Maurizio Cecconi2.   

Abstract

Mortality after liver surgery reduced during the last three decades to less than 2%, but post-operative morbidity occurs in 20-50% of cases. Patients are often considered eligible for post-operative intensive-care unit (ICU) admission. Predicting which patients that are at higher risk could lead to a more precise perioperative management. We investigated whether renal resistive index (RRI), alone or along with other items, can predict post-operative complication after hepatic resection. All consecutive patients undergoing hepatectomy for primary or metastatic neoplasm at our Institution between February 2015 and March 2017 were enrolled. They received RRI measurement before entering in operative room and after awakening from general anesthesia. 183 Patients were enrolled. High surgical invasiveness, surgery time > 360 min, pre-operative RRI and postoperative serum lactate clearance <  - 6%, showed to be associated with postoperative complications. Pre-operative RRI, complex liver resection, long-lasting surgery and poor lactate clearance (cLac) close to awakening from general anesthesia, all together may permit to classify the risk of post-operative adverse outcome after hepatic resection surgery.
© 2020. Springer Nature B.V.

Entities:  

Keywords:  Hepatectomy; Morbidity; Post-operative; Risk

Year:  2020        PMID: 32430788     DOI: 10.1007/s10877-020-00529-4

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  7 in total

1.  Resistive Index or color-Doppler semi-quantitative evaluation of renal perfusion by inexperienced physicians: results of a pilot study.

Authors:  D Schnell; M Reynaud; M Venot; A L Le Maho; M Dinic; M Baulieu; G Ducos; J Terreaux; F Zeni; E Azoulay; F Meziani; J Duranteau; M Darmon
Journal:  Minerva Anestesiol       Date:  2014-02-25       Impact factor: 3.051

2.  Performance of Doppler-based resistive index and semi-quantitative renal perfusion in predicting persistent AKI: results of a prospective multicenter study.

Authors:  Michael Darmon; Aurelie Bourmaud; Marie Reynaud; Stéphane Rouleau; Ferhat Meziani; Alexandra Boivin; Mourad Benyamina; François Vincent; Alexandre Lautrette; Christophe Leroy; Yves Cohen; Matthieu Legrand; Jérôme Morel; Jeremy Terreaux; David Schnell
Journal:  Intensive Care Med       Date:  2018-10-05       Impact factor: 17.440

Review 3.  Renal Doppler to assess renal perfusion in the critically ill: a reappraisal.

Authors:  David Schnell; Michael Darmon
Journal:  Intensive Care Med       Date:  2012-09-22       Impact factor: 17.440

Review 4.  Persistent inflammation and immunosuppression: a common syndrome and new horizon for surgical intensive care.

Authors:  Lori F Gentile; Alex G Cuenca; Philip A Efron; Darwin Ang; Azra Bihorac; Bruce A McKinley; Lyle L Moldawer; Frederick A Moore
Journal:  J Trauma Acute Care Surg       Date:  2012-06       Impact factor: 3.313

Review 5.  Kidney-lung cross-talk and acute kidney injury.

Authors:  Rajit K Basu; Derek S Wheeler
Journal:  Pediatr Nephrol       Date:  2013-01-20       Impact factor: 3.714

6.  May Renal Resistive Index be an early predictive tool of postoperative complications in major surgery? Preliminary results.

Authors:  Enrico Giustiniano; Massimo Meco; Emanuela Morenghi; Nadia Ruggieri; Daniele Cosseta; Silvia Cirri; Orazio Difrancesco; Paola Cosma Zito; Yari Gollo; Ferdinando Raimondi
Journal:  Biomed Res Int       Date:  2014-05-20       Impact factor: 3.411

Review 7.  Inflammation in Primary and Metastatic Liver Tumorigenesis-Under the Influence of Alcohol and High-Fat Diets.

Authors:  Lauren S Strathearn; Afanasii I Stepanov; Joan Font-Burgada
Journal:  Nutrients       Date:  2020-03-27       Impact factor: 5.717

  7 in total
  3 in total

1.  Machine learning approaches for the prediction of postoperative complication risk in liver resection patients.

Authors:  Siyu Zeng; Lele Li; Yanjie Hu; Li Luo; Yuanchen Fang
Journal:  BMC Med Inform Decis Mak       Date:  2021-12-30       Impact factor: 2.796

2.  A Sarcopenia-Based Prediction Model for Postoperative Complications of ex vivo Liver Resection and Autotransplantation to Treat End-Stage Hepatic Alveolar Echinococcosis.

Authors:  Ting Sun; Tao Wang; Yiwen Qiu; Shu Shen; Xianwei Yang; Yi Yang; Bin Huang; Wentao Wang
Journal:  Infect Drug Resist       Date:  2021-11-23       Impact factor: 4.003

Review 3.  What is new in hemodynamic monitoring and management?

Authors:  Moritz Flick; Alina Bergholz; Pawel Sierzputowski; Simon T Vistisen; Bernd Saugel
Journal:  J Clin Monit Comput       Date:  2022-04-08       Impact factor: 1.977

  3 in total

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