Literature DB >> 29871660

Identification of developing multiple organ failure in sepsis patients with low or moderate SOFA scores.

Gunnar Elke1, Frank Bloos2,3, Darius Cameron Wilson4, Patrick Meybohm5.   

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Year:  2018        PMID: 29871660      PMCID: PMC5989334          DOI: 10.1186/s13054-018-2084-z

Source DB:  PubMed          Journal:  Crit Care        ISSN: 1364-8535            Impact factor:   9.097


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An early identification of sepsis patients likely to progress towards multiple organ failure is crucial in order to initiate targeted therapeutic strategies to decrease mortality. Our recent publication highlighted the greater accuracy of mid-regional proadrenomedullin (MR-proADM) compared with conventional biomarkers and clinical scores in predicting 28-day mortality in patients with initially low (≤7 points; N = 240) or moderate (8–13 points; N = 653) Sepsis-related Organ Failure Assessment (SOFA) scores [1], thus confirming results from smaller investigations [2, 3]. This additional post hoc analysis aimed to further describe the non-surviving patient population of both subgroups and identify those likely to progress towards sepsis-related multiple organ failure. In our study, patients with low SOFA scores had a lower 28-day mortality rate (N = 35; 14.6% vs. N = 181; 27.7%) and incidence of septic shock [4] (N = 87; 36.7% vs. N = 399; 61.5%) compared to those with moderate values. Nevertheless, multiple organ failure was the most common cause of death irrespective of initial SOFA classification (low vs. moderate SOFA: N = 16; 45.7% vs. N = 79; 43.6%). Patients with low SOFA scores tended to take longer to progress towards multiple organ failure (10 [6-18] vs. 7 [3-11] days) and had an increasing number of dysfunctional organs (identified by organ-specific SOFA scores ≥2) and an increasing overall SOFA score (e.g. diagnosis to day 7: 2 [1-2] vs. 4 [3-5] dysfunctional organs; P < 0.01; 6.3 ± 1.3 vs. 10.2 ± 4.7 points; P < 0.01). Area under the receiver operating characteristic curve (AUROC) and Cox regression analysis indicated that MR-proADM had the highest accuracy in predicting progression towards sepsis-related multiple organ failure mortality in both groups (Fig. 1). High initial concentrations in non-surviving patients with low or moderate SOFA scores resulted in a high progression rate towards multiple organ failure (N = 6; 100.0% and N = 25; 52.1%), with similar results found in patients with increasing concentrations over the first 24 h (e.g. moderate SOFA population: N = 15; 57.8%). Conversely, mortality in patients with low MR-proADM concentrations was predominantly due to non-sepsis-related causes (N = 14; 60.9%), with a low subsequent progression rate towards sepsis-related multiple organ failure in the total patient population with continuously low concentrations over the first 24 h (N = 3; 1.4%).
Fig. 1

Prediction of sepsis-related multiple organ failure in low (≤7 points) and moderate (8–13 points) SOFA severity patient populations. Cox regression and AUROC analysis for 28-day mortality due to sepsis-related multiple organ failure. Univariate Cox regression was compared for each biomarker and clinical score in the (a) low (≤7 points) and (b) moderate (8–13 points) SOFA severity subgroups. Multivariate Cox regression analysis was corrected for age and the presence of comorbidities. Abbreviations: APACHE II Acute Physiology and Chronic Health Evaluation II (score), AUROC area under the receiver operating characteristic curve, CI confidence interval, CRP C-reactive protein, HR hazard ratio, IQR interquartile range, LR likelihood ratio, MOF multiple organ failure, MR-proADM mid-regional proadrenomedullin, N number, PCT procalcitonin, SAPS II Simplified Acute Physiology Score II, SOFA Sepsis-related Organ Failure Assessment

Prediction of sepsis-related multiple organ failure in low (≤7 points) and moderate (8–13 points) SOFA severity patient populations. Cox regression and AUROC analysis for 28-day mortality due to sepsis-related multiple organ failure. Univariate Cox regression was compared for each biomarker and clinical score in the (a) low (≤7 points) and (b) moderate (8–13 points) SOFA severity subgroups. Multivariate Cox regression analysis was corrected for age and the presence of comorbidities. Abbreviations: APACHE II Acute Physiology and Chronic Health Evaluation II (score), AUROC area under the receiver operating characteristic curve, CI confidence interval, CRP C-reactive protein, HR hazard ratio, IQR interquartile range, LR likelihood ratio, MOF multiple organ failure, MR-proADM mid-regional proadrenomedullin, N number, PCT procalcitonin, SAPS II Simplified Acute Physiology Score II, SOFA Sepsis-related Organ Failure Assessment Results suggest that initially high or increasing MR-proADM concentrations may help to identify patients with a high risk of progression towards sepsis-related multiple organ failure. Elevated microcirculation dysfunction and endothelial permeability may therefore play a significant role in driving the development of further organ dysfunction, as described previously [5]. Further studies in larger patient populations are essential to confirm these hypotheses.
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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
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2.  Usefulness of midregional pro-adrenomedullin as a marker of organ damage and predictor of mortality in patients with sepsis.

Authors:  Enrique Bernal-Morell; Eva García-Villalba; Maria Del Carmen Vera; Blanca Medina; Monica Martinez; Victoria Callejo; Salvador Valero; Cesar Cinesi; Pascual Piñera; Antonia Alcaraz; Irene Marin; Angeles Muñoz; Alfredo Cano
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5.  The use of mid-regional proadrenomedullin to identify disease severity and treatment response to sepsis - a secondary analysis of a large randomised controlled trial.

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Journal:  Crit Care       Date:  2018-03-21       Impact factor: 9.097

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