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Sepsis Code in emergency department: Performance of q-SOFA score compared to SIRS score. Med Clin (Barc) 2021; 158:260-264. [PMID: 34256935 DOI: 10.1016/j.medcli.2021.03.039] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 03/24/2021] [Accepted: 03/26/2021] [Indexed: 12/29/2022]
Abstract
INTRODUCTION The early diagnosis and treatment of sepsis remains a challenge in hospital emergency departments. OBJECTIVE The objective was to evaluate the performance of the qSOFA (quick Sequential related Organ Failure Assessment) for activating a Sepsis Code in the emergency department, compared to applying previous criteria based on SIRS (Systemic Inflammatory Response Syndrome). METHODS Patients ≥18years were included who consulted an emergency department of a tertiary hospital over two periods of time (May-October 2015), using SIRS criteria (SIRS Group) and over the same months in 2017 using qSOFA criteria (qSOFA Group). RESULTS One hundred and five episodes were analysed: 70 corresponded to the SIRS Group and 55 to the qSOFA Group. The groups were comparable in terms of history, with a greater presence of neoplastic disease in the qSOFA Group. No differences were observed in the form of presentation, the action taken in the emergency department, admissions to critical care units, use of vasopressors or mean hospital stay between the two groups. A higher 30-day mortality rate was observed in the qSOFA group (21.81% vs. 4.3%; P=.003). In the multivariate study, neoplastic disease was noteworthy as an independent factor of poor prognosis (OR 5.36; P=.01), and activation using the SIRS criteria as a factor of good prognosis (OR .15; P=.021). CONCLUSIONS The activation of the Sepsis Code using qSOFA criteria results in a reduction in detection, with greater associated mortality. Other complementary tools need to be sought for the early detection of sepsis in the emergency department.
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Vallabhajosyula S, Wang Z, Murad MH, Vallabhajosyula S, Sundaragiri PR, Kashani K, Miller WL, Jaffe AS, Vallabhajosyula S. Natriuretic Peptides to Predict Short-Term Mortality in Patients With Sepsis: A Systematic Review and Meta-analysis. Mayo Clin Proc Innov Qual Outcomes 2020; 4:50-64. [PMID: 32055771 PMCID: PMC7011015 DOI: 10.1016/j.mayocpiqo.2019.10.008] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 10/07/2019] [Accepted: 10/15/2019] [Indexed: 04/17/2023] Open
Abstract
Data are conflicting regarding the optimal cutoffs of B-type natriuretic peptide (BNP) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) to predict short-term mortality in patients with sepsis. We conducted a comprehensive search of several databases (MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, and Scopus) for English-language reports of studies evaluating adult patients with sepsis, severe sepsis, and septic shock with BNP/NT-proBNP levels and short-term mortality (intensive care unit, in-hospital, 28-day, or 30-day) published from January 1, 2000, to September 5, 2017. The average values in survivors and nonsurvivors were used to estimate the receiver operating characteristic curve (ROC) using a parametric regression model. Thirty-five observational studies (3508 patients) were included (median age, 51-75 years; 12%-74% males; cumulative mortality, 34.2%). A BNP of 622 pg/mL had the greatest discrimination for mortality (sensitivity, 0.695 [95% CI, 0.659-0.729]; specificity, 0.907 [95% CI, 0.810-1.003]; area under the ROC, 0.766 [95% CI, 0.734-0.797]). An NT-proBNP of 4000 pg/mL had the greatest discrimination for mortality (sensitivity, 0.728 [95% CI, 0.703-0.753]; specificity, 0.789 [95% CI, 0.710-0.867]; area under the ROC, 0.787 [95% CI, 0.766-0.809]). In prespecified subgroup analyses, identified BNP/NT-proBNP cutoffs had higher discrimination if specimens were obtained 24 hours or less after admission, in patients with severe sepsis/septic shock, in patients enrolled after 2010, and in studies performed in the United States and Europe. There was inconsistent adjustment for renal function. In this hypothesis-generating analysis, BNP and NT-proBNP cutoffs of 622 pg/mL and 4000 pg/mL optimally predicted short-term mortality in patients with sepsis. The applicability of these results is limited by the heterogeneity of included patient populations.
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Affiliation(s)
| | - Zhen Wang
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN
| | - M. Hassan Murad
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN
- Division of Preventive, Occupational, and Aerospace Medicine, Department of Medicine, Mayo Clinic, Rochester, MN
| | - Shashaank Vallabhajosyula
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN
| | | | - Kianoush Kashani
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN
- Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN
| | - Wayne L. Miller
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Allan S. Jaffe
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
- Division of Clinical Core Laboratory Services, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Saraschandra Vallabhajosyula
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN
- Center for Clinical and Translational Science, Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, MN
- Correspondence: Address to Dr Saraschandra Vallabhajosyula, MD, Department of Cardiovascular Medicine, Mayo Clinic, 200 First St SW, Rochester, MN 55905 @SarasVallabhMD
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