Systemic Immune-Inflammation Index Predicts Poor Outcome After Elective Off-Pump CABG: A Retrospective, Single-Center Study.

neutrophil-lymphocyte ratio off-pump coronary artery bypass grafting platelet-lymphocyte ratio postoperative outcome systemic immune-inflammation index

Journal

Journal of cardiothoracic and vascular anesthesia
ISSN: 1532-8422
Titre abrégé: J Cardiothorac Vasc Anesth
Pays: United States
ID NLM: 9110208

Informations de publication

Date de publication:
Aug 2021
Historique:
received: 15 08 2020
revised: 02 09 2020
accepted: 04 09 2020
pubmed: 14 10 2020
medline: 23 7 2021
entrez: 13 10 2020
Statut: ppublish

Résumé

To investigate the role of preoperative hematologic indices (neutrophil-lymphocyte ratio [NLR], platelet-lymphocyte ratio [PLR], systemic immune-inflammation index [SII; neutrophil × platelet/lymphocyte) in predicting short-term outcomes after off-pump coronary artery bypass grafting (OPCABG). A single-center, retrospective, risk-prediction study. A tertiary cardiac center. 1,007 patients undergoing elective OPCABG. No specific intervention. Two hundred five patients out of 1,007 (20.4%) manifested poor postoperative outcome (defined by ≥1 of: major adverse cardiac and cardiovascular events, duration of mechanical ventilation (DO-MV) >24 hours, new-onset renal failure, sepsis, and death). On univariate analysis, age, diabetes mellitus (DM), European System for Cardiac Operative Risk Evaluation II (EuroSCORE II), left-main disease, recent myocardial infarction, poor left ventricular ejection fraction, hemoglobin, NLR, PLR, and SII significantly predicted poor outcome. However, DM, EuroSCORE II, and SII emerged as independent predictors on multivariate analysis (odds ratio 0.136; 0.035-0.521, 3.377; 95% confidence interval 2.373-4.806, 1.01, 1.003-1.016). The SII cutoff of 878.06 × 10 SII constitutes a parsimonious and reproducible parameter demonstrating the potential of delineating the patients vulnerable to poor outcomes after OPCABG given the combined contribution of pro-inflammatory and pro-thrombotic corpuscular lines in computing the novel index.

Identifiants

pubmed: 33046365
pii: S1053-0770(20)31007-7
doi: 10.1053/j.jvca.2020.09.092
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2397-2404

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Souvik Dey (S)

Department of Cardiac Anaesthesia, Atal Bihari Vajpayee Institute of Medical Sciences (ABVIMS) and Dr. Ram Manohar Lohia Hospital, Baba Kharak Singh Marg, New Delhi, India.

Ramesh Kashav (R)

Department of Cardiac Anaesthesia, Atal Bihari Vajpayee Institute of Medical Sciences (ABVIMS) and Dr. Ram Manohar Lohia Hospital, Baba Kharak Singh Marg, New Delhi, India. Electronic address: drkashav@yahoo.co.in.

Jasvinder Kaur Kohli (JK)

Department of Cardiac Anaesthesia, Atal Bihari Vajpayee Institute of Medical Sciences (ABVIMS) and Dr. Ram Manohar Lohia Hospital, Baba Kharak Singh Marg, New Delhi, India.

Rohan Magoon (R)

Department of Cardiac Anaesthesia, Atal Bihari Vajpayee Institute of Medical Sciences (ABVIMS) and Dr. Ram Manohar Lohia Hospital, Baba Kharak Singh Marg, New Delhi, India.
Department of Cardiac Anaesthesia, Atal Bihari Vajpayee Institute of Medical Sciences (ABVIMS) and Dr. Ram Manohar Lohia Hospital, Baba Kharak Singh Marg, New Delhi, India.

Ashish Walian (A)

Department of Cardiac Anaesthesia, Atal Bihari Vajpayee Institute of Medical Sciences (ABVIMS) and Dr. Ram Manohar Lohia Hospital, Baba Kharak Singh Marg, New Delhi, India.

Vijay Grover (V)

Department of Cardiothoracic and Vascular Surgery, Atal Bihari Vajpayee Institute of Medical Sciences (ABVIMS) and Dr. Ram Manohar Lohia Hospital, Baba Kharak Singh Marg, New Delhi, India.

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