Application of The Sepsis-3 Consensus Criteria in a Geriatric Acute Care Unit: A Prospective Study.

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Application of The Sepsis-3 Consensus Criteria in a Geriatric Acute Care Unit: A Prospective Study.

J Clin Med. 2019 Mar 13;8(3):

Authors: Bastoni D, Ticinesi A, Lauretani F, Calamai S, Catalano ML, Catania P, Cecchia M, Cerundolo N, Galluzzo C, Giovini M, Mori G, Zani MD, Nouvenne A, Meschi T

The prognostic value of quick Sepsis-related Organ Failure Assessment (qSOFA) score in geriatric patients is uncertain. We aimed to compare qSOFA vs. Systemic Inflammatory Response Syndrome (SIRS) criteria for mortality prediction in older multimorbid subjects, admitted for suspected sepsis in a geriatric ward. We prospectively enrolled 272 patients (aged 83.7 ± 7.4). At admission, qSOFA and SIRS scores were calculated. Mortality was assessed during hospital stay and three months after discharge. The predictive capacity of qSOFA and SIRS was assessed by calculating the Area Under the Receiver Operating Characteristic Curve (AUROC), through pairwise AUROC comparison, and multivariable logistic regression analysis. Both qSOFA and SIRS exhibited a poor prognostic performance (AUROCs 0.676, 95% CI 0.609⁻0.738, and 0.626, 95% CI 0.558⁻0.691 for in-hospital mortality; 0.684, 95% CI 0.614⁻0.748, and 0.596, 95% CI 0.558⁻0.691 for pooled three-month mortality, respectively). The predictive capacity of qSOFA showed no difference to that of SIRS for in-hospital mortality (difference between AUROCs 0.05, 95% CI -0.05 to 0.14, p = 0.31), but was superior for pooled three-month mortality (difference between AUROCs 0.09, 95% CI 0.01⁻0.17, p = 0.029). Multivariable logistic regression analysis, accounting for possible confounders, including frailty, showed that both scores were not associated with in-hospital mortality, although qSOFA, unlike SIRS, was associated with pooled three-month mortality. In conclusion, neither qSOFA nor SIRS at admission were strong predictors of mortality in a geriatric acute-care setting. Traditional geriatric measures of frailty may be more useful for predicting adverse outcomes in this setting.

PMID: 30871231 [PubMed]

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