Multi-institutional analysis of neutrophil-to-lymphocyte ratio (NLR) in patients with severe hemorrhage: A new mortality predictor value

Juan Carlos Duchesne, Danielle Tatum, Glenn Jones, Brandy Davis, Rosemarie Robledo, Marc DeMoya, Terence OKeeffe, Paula Ferrada, Tomas Jacome, Rebecca Schroll, Jordan Wlodarczyk, Priya Prakash, Brian Smith, Kenji Inaba, Desmond Khor, Marquinn Duke, Mansoor Khan

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

BACKGROUND: The neutrophil/lymphocyte ratio (NLR) has been associated as a predictor for increased mortality in critically ill patients. We sought to determine the relationship between NLR and outcomes in adult trauma patients with severe hemorrhage requiring the initiation of massive transfusion protocol (MTP). We hypothesized that the NLR would be a prognostic indicator of mortality in this population. METHODS: This was a multi-institutional retrospective cohort study of adult trauma patients (≥18 years) with severe hemorrhage who received MTP between November 2014 and November 2015. Differentiated blood cell counts obtained at days 3 and 10 were used to obtain NLR. Receiver operating characteristic (ROC) curve analysis assessed the predictive capacity of NLR on mortality. To identify the effect of NLR on survival, Kaplan-Meier (KM) survival analysis and Cox regression models were used. RESULTS: A total of 285 patients with severe hemorrhage managed with MTP were analyzed from six participating institutions. Most (80%) were men, 57.2% suffered blunt trauma. Median (IQR) age, Injury Severity Score, and Glasgow Coma Scale were 35 (25-47), 25 (16-36), and 9 (3-15), respectively. Using ROC curve analysis, optimal NLR cutoff values of 8.81 at day 3 and 13.68 at day 10 were calculated by maximizing the Youden index. KM curves at day 3 (p = 0.05) and day 10 (p = 0.02) revealed an NLR greater than or equal to these cutoff values as a marker for increased in-hospital mortality. Cox regression models failed to demonstrate an NLR over 8.81 as predictive of in-hospital mortality at day 3 (p = 0.056) but was predictive for mortality if NLR was greater than 13.68 at day 10 (p = 0.036). CONCLUSIONS NLR is strongly associated with early mortality in patients with severe hemorrhage managed with MTP. Further research is needed to focus on factors that can ameliorate NLR in this patient population.

Original languageEnglish (US)
Pages (from-to)888-893
Number of pages6
JournalJournal of Trauma and Acute Care Surgery
Volume83
Issue number5
DOIs
StatePublished - Nov 1 2017
Externally publishedYes

Fingerprint

Neutrophils
Lymphocytes
Hemorrhage
Mortality
Hospital Mortality
Proportional Hazards Models
ROC Curve
Wounds and Injuries
Glasgow Coma Scale
Injury Severity Score
Blood Cell Count
Kaplan-Meier Estimate
Survival Analysis
Critical Illness
Population
Cohort Studies
Retrospective Studies
Survival
Research

Keywords

  • Massive transfusion protocol
  • mortality
  • neutrophil-to-lymphocyte ratio

ASJC Scopus subject areas

  • Surgery
  • Critical Care and Intensive Care Medicine

Cite this

Multi-institutional analysis of neutrophil-to-lymphocyte ratio (NLR) in patients with severe hemorrhage : A new mortality predictor value. / Duchesne, Juan Carlos; Tatum, Danielle; Jones, Glenn; Davis, Brandy; Robledo, Rosemarie; DeMoya, Marc; OKeeffe, Terence; Ferrada, Paula; Jacome, Tomas; Schroll, Rebecca; Wlodarczyk, Jordan; Prakash, Priya; Smith, Brian; Inaba, Kenji; Khor, Desmond; Duke, Marquinn; Khan, Mansoor.

In: Journal of Trauma and Acute Care Surgery, Vol. 83, No. 5, 01.11.2017, p. 888-893.

Research output: Contribution to journalArticle

Duchesne, JC, Tatum, D, Jones, G, Davis, B, Robledo, R, DeMoya, M, OKeeffe, T, Ferrada, P, Jacome, T, Schroll, R, Wlodarczyk, J, Prakash, P, Smith, B, Inaba, K, Khor, D, Duke, M & Khan, M 2017, 'Multi-institutional analysis of neutrophil-to-lymphocyte ratio (NLR) in patients with severe hemorrhage: A new mortality predictor value', Journal of Trauma and Acute Care Surgery, vol. 83, no. 5, pp. 888-893. https://doi.org/10.1097/TA.0000000000001683
Duchesne, Juan Carlos ; Tatum, Danielle ; Jones, Glenn ; Davis, Brandy ; Robledo, Rosemarie ; DeMoya, Marc ; OKeeffe, Terence ; Ferrada, Paula ; Jacome, Tomas ; Schroll, Rebecca ; Wlodarczyk, Jordan ; Prakash, Priya ; Smith, Brian ; Inaba, Kenji ; Khor, Desmond ; Duke, Marquinn ; Khan, Mansoor. / Multi-institutional analysis of neutrophil-to-lymphocyte ratio (NLR) in patients with severe hemorrhage : A new mortality predictor value. In: Journal of Trauma and Acute Care Surgery. 2017 ; Vol. 83, No. 5. pp. 888-893.
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abstract = "BACKGROUND: The neutrophil/lymphocyte ratio (NLR) has been associated as a predictor for increased mortality in critically ill patients. We sought to determine the relationship between NLR and outcomes in adult trauma patients with severe hemorrhage requiring the initiation of massive transfusion protocol (MTP). We hypothesized that the NLR would be a prognostic indicator of mortality in this population. METHODS: This was a multi-institutional retrospective cohort study of adult trauma patients (≥18 years) with severe hemorrhage who received MTP between November 2014 and November 2015. Differentiated blood cell counts obtained at days 3 and 10 were used to obtain NLR. Receiver operating characteristic (ROC) curve analysis assessed the predictive capacity of NLR on mortality. To identify the effect of NLR on survival, Kaplan-Meier (KM) survival analysis and Cox regression models were used. RESULTS: A total of 285 patients with severe hemorrhage managed with MTP were analyzed from six participating institutions. Most (80{\%}) were men, 57.2{\%} suffered blunt trauma. Median (IQR) age, Injury Severity Score, and Glasgow Coma Scale were 35 (25-47), 25 (16-36), and 9 (3-15), respectively. Using ROC curve analysis, optimal NLR cutoff values of 8.81 at day 3 and 13.68 at day 10 were calculated by maximizing the Youden index. KM curves at day 3 (p = 0.05) and day 10 (p = 0.02) revealed an NLR greater than or equal to these cutoff values as a marker for increased in-hospital mortality. Cox regression models failed to demonstrate an NLR over 8.81 as predictive of in-hospital mortality at day 3 (p = 0.056) but was predictive for mortality if NLR was greater than 13.68 at day 10 (p = 0.036). CONCLUSIONS NLR is strongly associated with early mortality in patients with severe hemorrhage managed with MTP. Further research is needed to focus on factors that can ameliorate NLR in this patient population.",
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T1 - Multi-institutional analysis of neutrophil-to-lymphocyte ratio (NLR) in patients with severe hemorrhage

T2 - A new mortality predictor value

AU - Duchesne, Juan Carlos

AU - Tatum, Danielle

AU - Jones, Glenn

AU - Davis, Brandy

AU - Robledo, Rosemarie

AU - DeMoya, Marc

AU - OKeeffe, Terence

AU - Ferrada, Paula

AU - Jacome, Tomas

AU - Schroll, Rebecca

AU - Wlodarczyk, Jordan

AU - Prakash, Priya

AU - Smith, Brian

AU - Inaba, Kenji

AU - Khor, Desmond

AU - Duke, Marquinn

AU - Khan, Mansoor

PY - 2017/11/1

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N2 - BACKGROUND: The neutrophil/lymphocyte ratio (NLR) has been associated as a predictor for increased mortality in critically ill patients. We sought to determine the relationship between NLR and outcomes in adult trauma patients with severe hemorrhage requiring the initiation of massive transfusion protocol (MTP). We hypothesized that the NLR would be a prognostic indicator of mortality in this population. METHODS: This was a multi-institutional retrospective cohort study of adult trauma patients (≥18 years) with severe hemorrhage who received MTP between November 2014 and November 2015. Differentiated blood cell counts obtained at days 3 and 10 were used to obtain NLR. Receiver operating characteristic (ROC) curve analysis assessed the predictive capacity of NLR on mortality. To identify the effect of NLR on survival, Kaplan-Meier (KM) survival analysis and Cox regression models were used. RESULTS: A total of 285 patients with severe hemorrhage managed with MTP were analyzed from six participating institutions. Most (80%) were men, 57.2% suffered blunt trauma. Median (IQR) age, Injury Severity Score, and Glasgow Coma Scale were 35 (25-47), 25 (16-36), and 9 (3-15), respectively. Using ROC curve analysis, optimal NLR cutoff values of 8.81 at day 3 and 13.68 at day 10 were calculated by maximizing the Youden index. KM curves at day 3 (p = 0.05) and day 10 (p = 0.02) revealed an NLR greater than or equal to these cutoff values as a marker for increased in-hospital mortality. Cox regression models failed to demonstrate an NLR over 8.81 as predictive of in-hospital mortality at day 3 (p = 0.056) but was predictive for mortality if NLR was greater than 13.68 at day 10 (p = 0.036). CONCLUSIONS NLR is strongly associated with early mortality in patients with severe hemorrhage managed with MTP. Further research is needed to focus on factors that can ameliorate NLR in this patient population.

AB - BACKGROUND: The neutrophil/lymphocyte ratio (NLR) has been associated as a predictor for increased mortality in critically ill patients. We sought to determine the relationship between NLR and outcomes in adult trauma patients with severe hemorrhage requiring the initiation of massive transfusion protocol (MTP). We hypothesized that the NLR would be a prognostic indicator of mortality in this population. METHODS: This was a multi-institutional retrospective cohort study of adult trauma patients (≥18 years) with severe hemorrhage who received MTP between November 2014 and November 2015. Differentiated blood cell counts obtained at days 3 and 10 were used to obtain NLR. Receiver operating characteristic (ROC) curve analysis assessed the predictive capacity of NLR on mortality. To identify the effect of NLR on survival, Kaplan-Meier (KM) survival analysis and Cox regression models were used. RESULTS: A total of 285 patients with severe hemorrhage managed with MTP were analyzed from six participating institutions. Most (80%) were men, 57.2% suffered blunt trauma. Median (IQR) age, Injury Severity Score, and Glasgow Coma Scale were 35 (25-47), 25 (16-36), and 9 (3-15), respectively. Using ROC curve analysis, optimal NLR cutoff values of 8.81 at day 3 and 13.68 at day 10 were calculated by maximizing the Youden index. KM curves at day 3 (p = 0.05) and day 10 (p = 0.02) revealed an NLR greater than or equal to these cutoff values as a marker for increased in-hospital mortality. Cox regression models failed to demonstrate an NLR over 8.81 as predictive of in-hospital mortality at day 3 (p = 0.056) but was predictive for mortality if NLR was greater than 13.68 at day 10 (p = 0.036). CONCLUSIONS NLR is strongly associated with early mortality in patients with severe hemorrhage managed with MTP. Further research is needed to focus on factors that can ameliorate NLR in this patient population.

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KW - mortality

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