Quick sequential organ failure assessment and systemic inflammatory response syndrome criteria as predictors of critical care intervention among patients with suspected infection

Critical Care Medicine

Volumn 45, Issue 11, 2017, Pages 1813-1819

  Moskowitz, Ari ^a   Patel, Parth V ^a   Grossestreuer, Anne V ^a   Chase, Maureen ^a   Shapiro, Nathan I ^a   Berg, Katherine ^a   Cocchi, Michael N ^a   Holmberg, Mathias J ^a,b   Donnino, Michael W ^a  

^a BETH ISRAEL DEACONESS MEDICAL CENTER   (United States)

^b AARHUS UNIVERSITY HOSPITAL   (Denmark)

Author keywords

Clinical decision making; Critical care; Sepsis

Indexed keywords

HYPERTENSIVE FACTOR;

ADULT; ARTICLE; CLINICAL DECISION MAKING; CLINICAL OUTCOME; COHORT ANALYSIS; CONTROLLED STUDY; CRITICAL ILLNESS; CRITICALLY ILL PATIENT; DIAGNOSTIC TEST ACCURACY STUDY; ELECTRONIC HEALTH RECORD; EMERGENCY PATIENT; EMERGENCY WARD; FEMALE; HOSPITAL ADMISSION; HOSPITAL MORTALITY; HUMAN; INTENSIVE CARE; INTENSIVE CARE UNIT; INTERVENTION STUDY; INTUBATION; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; PREDICTIVE VALUE; PRIORITY JOURNAL; PROGNOSIS; PROGNOSTIC ASSESSMENT; QUICK SEQUENTIAL ORGAN FAILURE ASSESSMENT; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY; SEPSIS; SYSTEMIC INFLAMMATORY RESPONSE SYNDROME CRITERIA; TERTIARY CARE CENTER; UNITED STATES; AGED; COMORBIDITY; EARLY DIAGNOSIS; MORTALITY; ORGAN DYSFUNCTION SCORE; RECEIVER OPERATING CHARACTERISTIC; STATISTICS AND NUMERICAL DATA; SYSTEMIC INFLAMMATORY RESPONSE SYNDROME; VERY ELDERLY; VITAL SIGN;

ADULT; AGED; AGED, 80 AND OVER; COHORT STUDIES; COMORBIDITY; EARLY DIAGNOSIS; FEMALE; HOSPITAL MORTALITY; HUMANS; INTENSIVE CARE UNITS; MALE; MIDDLE AGED; ORGAN DYSFUNCTION SCORES; PREDICTIVE VALUE OF TESTS; PROGNOSIS; RETROSPECTIVE STUDIES; ROC CURVE; SEPSIS; SYSTEMIC INFLAMMATORY RESPONSE SYNDROME; TERTIARY CARE CENTERS; VITAL SIGNS;

EID: 85032166858     PISSN: 00903493     EISSN: 15300293     Source Type: Journal    
DOI: 10.1097/CCM.0000000000002622     Document Type: Article

References (16)

1. Singer M, Deutschman CS, Seymour CW, et al: The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA 2016; 315:801-810
2. Seymour CW, Liu VX, Iwashyna TJ, et al: Assessment of clinical criteria for sepsis: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA 2016; 315:762-774
3. Moskowitz A, Andersen LW, Cocchi M, et al: The misapplication of severity-of-illness scores toward clinical decision making. Am J Respir Crit Care Med 2016; 194:256-258
4. Kumar A, Roberts D, Wood KE, et al: Duration of hypotension before initiation of effective antimicrobial therapy is the critical determinant of survival in human septic shock. Crit Care Med 2006; 34:1589-1596
5. Seymour CW, Gesten F, Prescott HC, et al: Time to treatment and mortality during mandated emergency care for sepsis. N Engl J Med 2017; 376:2235-2244
6. Quan H, Sundararajan V, Halfon P, et al: Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care 2005; 43:1130-1139
7. Faigle R, Sharrief A, Marsh EB, et al: Predictors of critical care needs after IV thrombolysis for acute ischemic stroke. PLoS One 2014; 9:e88652
8. Brett AS, Rothschild N, Gray R, et al: Predicting the clinical course in intentional drug overdose. Implications for use of the intensive care unit. Arch Intern Med 1987; 147:133-137
9. Zimmerman JE, Wagner D P, Knaus WA, et al: The use of risk predictions to identify candidates for intermediate care units. Implications for intensive care utilization and cost. Chest 1995; 108:490-499
10. Pencina MJ, D'Agostino RB Sr, Steyerberg EW: Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med 2011; 30:11-21
11. Antonelli M, DeBacker D, Dorman T, et al: Surviving Sepsis Campaign Responds to Sepsis 3, 2016. Available at: http://www.surviving-sepsis.org/SiteCollectionDocuments/SSC-Statements-Sepsis-Definitions-3-2016.pdf. Accessed May 15, 2017
12. Henning DJ, Puskarich MA, Self WH, et al: An emergency department validation of the SEP-3 sepsis and septic shock definitions and comparison with 1992 consensus definitions. Ann Emerg Med 2017 Mar 2. [Epub ahead of print]
13. Freund Y, Lemachatti N, Krastinova E, et al; French Society of Emergency Medicine Collaborators Group: Prognostic accuracy of Sepsis-3 criteria for in-hospital mortality among patients with suspected infection presenting to the emergency department. JAMA 2017; 317:301-308
14. Churpek MM, Snyder A, Han X, et al: Quick Sepsis-related Organ Failure Assessment, Systemic Inflammatory Response Syndrome, and Early Warning Scores for detecting clinical deterioration in infected patients outside the intensive care unit. Am J Respir Crit Care Med 2017; 195:906-911
15. Raith EP, Udy AA, Bailey M, et al; Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcomes and Resource Evaluation (CORE): Prognostic accuracy of the SOFA score, SIRS criteria, and qSOFA score for in-hospital mortality among adults with suspected infection admitted to the intensive care unit. JAMA 2017; 317:290-300
16. Zimmerman JE, Kramer AA: A model for identifying patients who may not need intensive care unit admission. J Crit Care 2010; 25:205-213