Literature DB >> 34635622

Clinical Performance of Monocyte Distribution Width for Early Detection of Sepsis in Emergency Department Patients: A Prospective Study.

Shinae Yu1, Sae Am Song1, Kyung Ran Jun1, Ha Young Park2, Jeong Nyeo Lee1.   

Abstract

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Year:  2022        PMID: 34635622      PMCID: PMC8548238          DOI: 10.3343/alm.2022.42.2.286

Source DB:  PubMed          Journal:  Ann Lab Med        ISSN: 2234-3806            Impact factor:   3.464


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Dear Editor, Most patients with sepsis are admitted through the emergency department (ED), and their outcome is significantly worse if the diagnosis and treatment are delayed [1, 2]. Therefore, early detection and treatment of sepsis are important in ED patients. Monocyte distribution width (MDW) is increased in patients with sepsis, making it a potential marker for the early diagnosis of sepsis [3, 4]. MDW is a measurable marker that can be obtained simultaneously with complete blood count (CBC). Thus, results can be obtained quickly, and additional blood collection from the patient for sepsis evaluation is not required. We evaluated the usefulness of MDW in predicting sepsis or septic shock using the Sepsis-3 criteria in patients visiting the ED [5]. We enrolled 1,234 Korean patients aged >18 years with a fever of ≥37.5°C and/or symptoms such as hypotension and mental deterioration, whose initial evaluation included CBC and C-reactive protein (CRP) tests on suspicion of infection, conducted within two hours of presenting to the ED at Haeundae Paik Hospital, Busan, Korea, between May and August 2019. This study was approved by our Institutional Review Board (HPIRB 2018-12-003), and the requirement for informed consent was waived because there is less than minimum risk to patients when using surplus samples. Samples for CBC, white blood cell (WBC) differential count, and MDW were collected in K2-EDTA tubes (Becton Dickinson, Plymouth, UK) and analyzed in a UniCel DxH 900 analyzer (Beckman Coulter, Inc., Brea, CA, USA). CRP and procalcitonin were measured from sera obtained by the centrifugation of samples collected in VACUETTE® CAT Serum Separator Clot Activators (Greiner Bio-One GmbH, Kremsmünster, Austria) at 1,680 ×g for 10 minutes. CRP was analyzed using Hitachi 7600 instrument (Hitachi, Tokyo, Japan) and Nanopia CRP (Sekisui Medical Co., Ltd., Tokyo, Japan), and procalcitonin was analyzed using cobas e 411 analyzer (Roche Diagnostics GmbH, Mannheim, Germany) and Elecsys BRAHMS Procalcitonin (Roche Diagnostics GmbH). All procedures were performed according to the manufacturers’ instructions. For statistical analyses, the chi-square test or Fisher’s exact test was used for categorical variables, and the Mann–Whitney U test or Kruskal–Wallis test was used for continuous variables. Receiver operating characteristic (ROC) curve analysis was performed to assess the sensitivity and specificity of MDW and blood count parameters to predict sepsis and septic shock. Optimal cut-offs for MDW and other laboratory markers were estimated using the classical Youden index. All statistical analyses were carried out using SPSS version 24.0 (IBM Corp., Armonk, NY, USA), and P<0.05 was considered statistically significant. All laboratory markers associated with sepsis, including MDW, were higher in patients with sepsis and septic shock than in those without sepsis (Table 1). We confirmed hepatitis A in two of the 67 sepsis patients, both of whom had high MDW (28.65 and 29.32). Two of three fungal sepsis patients and both fungal septic shock patients, infected with Candida albicans or other yeast-like fungus confirmed by culture from urine or respiratory samples, also had high MDW (26.52, 34.71, 33.94, and 37.25, respectively). MDW increased significantly in COVID-19 patients, especially in those hospitalized in the intensive care unit [6, 7]. MDW increases with progression from infection to sepsis and is the highest in sepsis patients with severe organ dysfunction [3]. This study demonstrated that MDW was the only biomarker that differed significantly between patients with sepsis and septic shock (Table 1).
Table 1

Comparison of demographics and laboratory biomarkers among three patient groups according to the Sepsis-3 criteria

VariableEnrolled (N=1,234)No sepsis (N=1,152)Sepsis (N=67)Septic shock§ (N=15)P ||P
No infection (N=1,021)Infection (N=131)
No SIRS (N=954)SIRS* (N=67)
Male sex607 (49.2)468 (49.1)41 (61.2)56 (42.7)36 (53.7)6 (40.0)0.7040.336
Age (yr)64 (50–76)63 (49–76)60 (48–76)66 (44–80)72 (61.5–80)70 (62.5–77.5)<0.0010.598
Death22 (1.8)13 (1.4)1 (1.5)1 (0.8)4 (6.0)3 (20.0)<0.0010.079
CRP (mg/L)3.80 (1.00–42.50)2.00 (0.60–10.50)1.00 (0.50–6.20)69.30 (17.10–130.70)126.40 (56.80–196.30)122.80 (80.60–156.50)<0.0010.966
Procalcitonin (μg/L)0.11 (0.04–0.46)0.05 (0.03–0.16)0.21 (0.03–1.29)0.14 (0.05–0.41)0.51 (0.13–1.54)2.59 (1.13–8.91)<0.0010.506
WBC, ×109/L7.77 (6.05–10.50)7.26 (5.84–9.43)11.10 (7.08–14.60)10.77 (7.88–13.70)10.90 (7.34–14.57)16.49 (10.86–20.11)<0.0010.083
Neutrophils, ×109/L5.18 (3.57–7.87)4.66 (3.45–6.79)7.79 (4.30–12.32)8.38 (5.70–11.43)8.91 (5.86–12.73)14.24 (8.75–16.95)<0.0010.064
Monocytes, ×109/L0.55 (0.41–0.73)0.52 (0.40–0.68)0.66 (0.50–0.98)0.58 (0.44–0.95)0.74 (0.53–0.91)0.74 (0.31–1.11)<0.0010.569
MDW18.43 (16.78–21.25)17.92 (16.53–19.77)17.88 (16.62–20.82)23.72 (21.15–27.35)24.75 (22.06–28.71)32.42 (26.44–35.90)<0.0010.002

Values are presented using frequencies (percentages) for categorical data and medians (interquartile range) for continuous data.

*SIRS was confirmed if two or more criteria were present: temperature >38°C or <36°C, heart rate >90/min, respiratory rate >20/min or PaCO2 <32 mmHg, WBC count >12.00×109/L or <4.00 ×109/L, or >10% immature bands; †Infection was determined using clinical data from cultures and relevant imaging studies performed within two days of ED admission; ‡Sepsis was defined as life-threatening organ dysfunction identified by a total SOFA score of ≥2 points consequent to the infection, based on the Sepsis-3 criteria [5]; §Septic shock was defined as sepsis with hypotension requiring vasopressors to maintain a mean arterial pressure of ≥65 mmHg and hyperlactatemia with serum lactate level of >2 mmol/L despite adequate volume resuscitation; ||P for comparison between no sepsis and sepsis plus septic shock; ¶P for comparison between sepsis and septic shock.

Abbreviations: SIRS, systemic inflammatory response syndrome; CRP, C-reactive protein; WBC, white blood cell; MDW, monocyte distribution width; SOFA, sequential organ failure assessment.

The area under the ROC curve of MDW was the highest (0.896, 95% confidence interval [CI]: 0.868–0.923), followed by that of CRP (0.894, 95% CI: 0.866–0.923), PCT (0.793, 95% CI: 0.742– 0.844), and WBC count (0.692, 95% CI: 0.623–0.762). The statistically best cut-offs for predicting sepsis and septic shock were 31.750 mg/L for CRP, 0.099 μg/L for procalcitonin, 9.614 ×109/L for WBC count, and 21.935 for MDW, the latter of which is higher than that (20.0) reported by Crouser, et al. [4], similar to that (21.9) reported by Polilli, et al. [8], and lower than that (23.5) reported by Agnello, et al. [9]. Whole-blood samples collected in K2-EDTA tubes reportedly yield lower MDW than those collected in K3-EDTA tubes [9]. Therefore, the MDW cut-offs for samples collected in K2-EDTA in those previous reports and our study were lower than those for samples in K3-EDTA [4, 8, 9]. The highest sensitivity of 93.9% was achieved using 20 as the MDW cut-off. The highest specificity of 91.8% was achieved when the MDW cut-off of 21.935 was used in addition to a WBC cut-off of 9.614×109/L. The specificities of CRP and procalcitonin increased when combined with the MDW results (Table 2).
Table 2

Sensitivity and specificity of laboratory biomarkers for predicting sepsis and septic shock

Laboratory biomarkerCut-offSensitivity (95% CI)Specificity (95% CI)
MDW21.93584.1% (74.0–91.0)83.0% (80.7–85.1)
2093.9% (85.7–97.7)70.1% (67.3–72.7)
WBC count, ×109/L9.61464.6% (53.2–74.7)70.7% (68.0–73.3)
CRP (mg/L)31.75090.1% (81.0–95.3)76.6% (74.0–79.0)
Procalcitonin (μg/L)0.09990.5% (80.9–95.8)54.4% (48.8–59.8)
MDW plus WBC count, ×109/LMDW: 21.935
WBC: 9.61454.9% (43.5–65.8)91.8% (90.0–93.2)
MDW: 20
WBC: 9.61459.8% (48.3–70.3)87.5% (85.4–89.3)
MDW plus CRP (mg/L)MDW: 21.935
CRP: 31.75077.8% (66.9–86.0)88.2% (86.2–90.0)
MDW: 20
CRP: 31.75085.2% (75.2–91.8)84.5% (82.2–86.5)
MDW plus procalcitonin (μg/L)MDW: 21.935
procalcitonin: 0.09978.4% (67.0–86.8)73.4% (68.2–78.0)
MDW: 20
procalcitonin: 0.09983.8% (73.0–91.0)65.3% (59.8–70.3)

Abbreviations: MDW, monocyte distribution width; WBC, white blood cell; CRP, C-reactive protein; CI, confidence interval.

In conclusion, MDW is a useful marker for sepsis screening in the ED because it shows high sensitivity when used as a sole marker and high specificity when combined with other markers. Therefore, MDW may be useful for early detection of sepsis, prediction of sepsis severity, and effective clinical decision making, before other biomarkers or culture results and imaging interpretations become available.
  9 in total

1.  The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3).

Authors:  Mervyn Singer; Clifford S Deutschman; Christopher Warren Seymour; Manu Shankar-Hari; Djillali Annane; Michael Bauer; Rinaldo Bellomo; Gordon R Bernard; Jean-Daniel Chiche; Craig M Coopersmith; Richard S Hotchkiss; Mitchell M Levy; John C Marshall; Greg S Martin; Steven M Opal; Gordon D Rubenfeld; Tom van der Poll; Jean-Louis Vincent; Derek C Angus
Journal:  JAMA       Date:  2016-02-23       Impact factor: 56.272

2.  Monocyte distribution width (MDW) as a screening tool for sepsis in the Emergency Department.

Authors:  Luisa Agnello; Giulia Bivona; Matteo Vidali; Concetta Scazzone; Rosaria Vincenza Giglio; Giorgia Iacolino; Alessandro Iacona; Silvia Mancuso; Anna Maria Ciaccio; Bruna Lo Sasso; Marcello Ciaccio
Journal:  Clin Chem Lab Med       Date:  2020-10-25       Impact factor: 3.694

3.  Improved Early Detection of Sepsis in the ED With a Novel Monocyte Distribution Width Biomarker.

Authors:  Elliott D Crouser; Joseph E Parrillo; Christopher Seymour; Derek C Angus; Keri Bicking; Liliana Tejidor; Robert Magari; Diana Careaga; JoAnna Williams; Douglas R Closser; Michael Samoszuk; Luke Herren; Emily Robart; Fernando Chaves
Journal:  Chest       Date:  2017-06-15       Impact factor: 9.410

4.  Empiric antibiotic treatment reduces mortality in severe sepsis and septic shock from the first hour: results from a guideline-based performance improvement program.

Authors:  Ricard Ferrer; Ignacio Martin-Loeches; Gary Phillips; Tiffany M Osborn; Sean Townsend; R Phillip Dellinger; Antonio Artigas; Christa Schorr; Mitchell M Levy
Journal:  Crit Care Med       Date:  2014-08       Impact factor: 7.598

5.  The critical role of laboratory medicine during coronavirus disease 2019 (COVID-19) and other viral outbreaks.

Authors:  Giuseppe Lippi; Mario Plebani
Journal:  Clin Chem Lab Med       Date:  2020-06-25       Impact factor: 3.694

6.  Monocyte Distribution Width: A Novel Indicator of Sepsis-2 and Sepsis-3 in High-Risk Emergency Department Patients.

Authors:  Elliott D Crouser; Joseph E Parrillo; Christopher W Seymour; Derek C Angus; Keri Bicking; Vincent G Esguerra; Octavia M Peck-Palmer; Robert T Magari; Mark W Julian; Jennifer M Kleven; Paarth J Raj; Gabrielle Procopio; Diana Careaga; Liliana Tejidor
Journal:  Crit Care Med       Date:  2019-08       Impact factor: 7.598

7.  Comparison of Monocyte Distribution Width (MDW) and Procalcitonin for early recognition of sepsis.

Authors:  Ennio Polilli; Federica Sozio; Antonella Frattari; Laura Persichitti; Marina Sensi; Raffaella Posata; Marco Di Gregorio; Antonina Sciacca; Maria Elena Flacco; Lamberto Manzoli; Giancarlo Di Iorio; Giustino Parruti
Journal:  PLoS One       Date:  2020-01-10       Impact factor: 3.240

8.  Elevated monocyte distribution width in COVID-19 patients: The contribution of the novel sepsis indicator.

Authors:  Agostino Ognibene; Maria Lorubbio; Pasqualino Magliocca; Emanuela Tripodo; Guendalina Vaggelli; Giovanni Iannelli; Marco Feri; Raffaele Scala; Alessandro Polcini Tartaglia; Angelo Galano; Alessandro Pancrazzi; Danilo Tacconi
Journal:  Clin Chim Acta       Date:  2020-06-03       Impact factor: 3.786

9.  Early diagnosis of sepsis in emergency departments, time to treatment, and association with mortality: An observational study.

Authors:  Gunnar Husabø; Roy M Nilsen; Hans Flaatten; Erik Solligård; Jan C Frich; Gunnar T Bondevik; Geir S Braut; Kieran Walshe; Stig Harthug; Einar Hovlid
Journal:  PLoS One       Date:  2020-01-22       Impact factor: 3.240

  9 in total

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