Derivation of novel risk prediction scores for community-acquired sepsis and severe sepsis

Critical Care Medicine

Volumn 44, Issue 7, 2016, Pages 1285-1294

  Wang, Henry E ^a   Donnelly, John P ^a,b   Griffin, Russell ^a   Levitan, Emily B ^a   Shapiro, Nathan I ^a   Howard, George ^b   Safford, Monika M ^a  

^a UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

^b BETH ISRAEL DEACONESS MEDICAL CENTER   (United States)

Author keywords

epidemiology; infections; risk prediction; sepsis

Indexed keywords

ALBUMIN; BIOLOGICAL MARKER; C REACTIVE PROTEIN; CREATININE; CYSTATIN C;

ABDOMINAL INFECTION; ADULT; AGE; AGED; ALBUMIN BLOOD LEVEL; ARTICLE; ATRIAL FIBRILLATION; BRONCHITIS; CALIBRATION; CATHETER INFECTION; CAUCASIAN; CEREBROVASCULAR ACCIDENT; CHRONIC LUNG DISEASE; COHORT ANALYSIS; COMMUNITY ACQUIRED INFECTION; COMMUNITY ACQUIRED SEPSIS; CONTROLLED STUDY; CORONARY ARTERY DISEASE; CREATININE BLOOD LEVEL; DEEP VEIN THROMBOSIS; DIABETES MELLITUS; DISEASE ASSOCIATION; DISEASE SEVERITY; DYSLIPIDEMIA; FEMALE; FOLLOW UP; GLOMERULUS FILTRATION RATE; HEART INFARCTION; HOSPITALIZATION; HUMAN; HYPERTENSION; INFECTION RISK; KIDNEY INFECTION; MAJOR CLINICAL STUDY; MALE; MALIGNANT NEOPLASTIC DISEASE; MENINGITIS; METABOLIC RATIO; MIDDLE AGED; OBESITY; PERIPHERAL OCCLUSIVE ARTERY DISEASE; PNEUMONIA; PREDICTION; PRIORITY JOURNAL; PYREXIA IDIOPATHICA; RISK ASSESSMENT; SCORING SYSTEM; SEPSIS; SEPSIS RISK SCORE; SEVERE SEPSIS; SEVERE SEPSIS RISK SCORE; SEX; SKIN INFECTION; SOFT TISSUE INFECTION; SURGICAL WOUND; TOBACCO USE; UNITED STATES; URINARY TRACT INFECTION; VERY ELDERLY; RISK FACTOR; SYSTEMIC INFLAMMATORY RESPONSE SYNDROME;

AGED; COHORT STUDIES; COMMUNITY-ACQUIRED INFECTIONS; FEMALE; HOSPITALIZATION; HUMANS; MALE; MIDDLE AGED; RISK ASSESSMENT; RISK FACTORS; SEPSIS; SYSTEMIC INFLAMMATORY RESPONSE SYNDROME;

EID: 84962110890     PISSN: 00903493     EISSN: 15300293     Source Type: Journal    
DOI: 10.1097/CCM.0000000000001666     Document Type: Article

References (39)

1. Katz DL, Ali A. Preventive Medicine, Integrative Medicine, and the Health of the Public: Commissioned paper for Institute of Medicine (IOM) of the National Academies. Summit on Integrative Medicine and the Health of the Public, 2009
2. Corday E, Corday SR. Advances in clinical management of acute myocardial infarction in the past 25 years. J Am Coll Cardiol 1983; 1:126-132
3. Marshall RS, Mohr JP. Current management of ischaemic stroke. J Neurol Neurosurg Psychiatry 1993; 56:6-16
4. Centers for Disease Control and Prevention: Ten great public health achievements-United States, 2001-2010. MMWR Morb Mortal Wkly Rep 2011; 60:619-623
5. Levy MM, Fink MP, Marshall JC, et al; International Sepsis Definitions Conference: 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference. Intensive Care Med 2003; 29:530-538
6. Angus DC, Linde-Zwirble WT, Lidicker J, et al. Epidemiology of severe sepsis in the United States: Analysis of incidence, outcome, and associated costs of care. Crit Care Med 2001; 29:1303-1310
7. Wang HE, Shapiro NI, Angus DC, et al. National estimates of severe sepsis in United States emergency departments. Crit Care Med 2007; 35:1928-1936
8. Martin GS, Mannino DM, Eaton S, et al. The epidemiology of sepsis in the United States from 1979 through 2000. N Engl J Med 2003; 348:1546-1554
9. Dellinger RP, Levy MM, Rhodes A, et al; Surviving Sepsis Campaign Guidelines Committee including the Pediatric Subgroup: Surviving sepsis campaign: International guidelines for management of severe sepsis and septic shock: 2012. Crit Care Med 2013; 41:580-637
10. Yealy DM, Kellum JA, Huang DT, et al. A randomized trial of protocol-based care for early septic shock. N Engl J Med 2014; 370:1683-1693
11. Wang HE, Shapiro NI, Griffin R, et al. Chronic medical conditions and risk of sepsis. PLoS One 2012; 7:e48307
12. Wang HE, Griffin R, Judd S, et al. Obesity and risk of sepsis: A population-based cohort study. Obesity (Silver Spring) 2013; 21:E762-E769
13. Howard VJ, Cushman M, Pulley L, et al. The reasons for geographic and racial differences in stroke study: Objectives and design. Neuroepidemiology 2005; 25:135-143
14. Wang H, Shapiro N, Deaconsess BI, et al. High-Sensitivity C-Reactive Protein and Risk of Sepsis (abstract). Crit Care Med 2012; 40:1-328
15. Vincent JL, Moreno R, Takala J, et al. The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine. Intensive Care Med 1996; 22:707-710
16. Page DB, Donnelly JP, Wang HE. Community-, healthcare-, and hospital-Acquired severe sepsis hospitalizations in the University Health System Consortium. Crit Care Med 2015; 43:1945-1951
17. Powell TC, Donnelly JP, Gutiérrez OM, et al. Cystatin C and long term risk of community-Acquired sepsis: A population-based cohort study. BMC Nephrol 2015; 16:61
18. Hemmelgarn BR, Manns BJ, Lloyd A, et al; Alberta Kidney Disease Network: Relation between kidney function, proteinuria, and adverse outcomes. JAMA 2010; 303:423-429
19. James MT, Hemmelgarn BR, Wiebe N, et al; Alberta Kidney Disease Network: Glomerular filtration rate, proteinuria, and the incidence and consequences of acute kidney injury: A cohort study. Lancet 2010; 376:2096-2103
20. Wang HE, Shapiro NI, Safford MM, et al. High-sensitivity C-reactive protein and risk of sepsis. PLoS One 2013; 8:e69232
21. Steyerberg EW, Harrell FE Jr, Borsboom GJ, et al. Internal validation of predictive models: Efficiency of some procedures for logistic regression analysis. J Clin Epidemiol 2001; 54:774-781
22. Harrell FE. Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis. New York, Springer, 2001
23. Rubin DB, Schenker N. Multiple imputation in health-care databases: An overview and some applications. Stat Med 1991; 10:585-598
24. Rubin DB. Multiple imputation after 18+ years. J Am Stat Assoc 1996; 91:473-489
25. Marshall A, Altman DG, Holder RL, et al. Combining estimates of interest in prognostic modelling studies after multiple imputation: Current practice and guidelines. BMC Med Res Methodol 2009; 9:57
26. Vergouwe Y, Royston P, Moons KG, et al. Development and validation of a prediction model with missing predictor data: A practical approach. J Clin Epidemiol 2010; 63:205-214
27. Sullivan LM, Massaro JM, D'Agostino RB Sr: Presentation of multivariate data for clinical use: The Framingham Study risk score functions. Stat Med 2004; 23:1631-1660
28. Hosmer DW, Lemeshow S, May S. Applied Survival Analysis: Regression Modeling of Time-To-Event Data. Second Edition. Hoboken, NJ, Wiley-Interscience, 2008
29. 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
30. Uno H, Tian L, Cai T, et al. A unified inference procedure for a class of measures to assess improvement in risk prediction systems with survival data. Stat Med 2013; 32:2430-2442
31. Dellinger RP, Levy MM, Rhodes A, et al; Surviving Sepsis Campaign Guidelines Committee Including the Pediatric Subgroup: Surviving Sepsis Campaign: International guidelines for management of severe sepsis and septic shock, 2012. Intensive Care Med 2013; 39:165-228
32. Centers for Disease Control and Prevention: Ten great public health achievements-worldwide, 2001-2010. MMWR Morb Mortal Wkly Rep 2011; 60:814-818
33. Ridker PM, Cannon CP, Morrow D, et al; Pravastatin or Atorvastatin Evaluation and Infection Therapy-Thrombolysis in Myocardial Infarction 22 (PROVE IT-TIMI 22) Investigators: C-reactive protein levels and outcomes after statin therapy. N Engl J Med 2005; 352:20-28
34. Shapiro NI, Wolfe RE, Moore RB, et al. Mortality in Emergency Department Sepsis (MEDS) score: A prospectively derived and validated clinical prediction rule. Crit Care Med 2003; 31:670-675
35. Granja C, Póvoa P, Lobo C, et al. The predisposition, infection, response and organ failure (PIRO) sepsis classification system: Results of hospital mortality using a novel concept and methodological approach. PLoS One 2013; 8:e53885
36. Sivayoham N, Rhodes A, Cecconi M. The MISSED score, a new scoring system to predict Mortality In Severe Sepsis in the Emergency Department: A derivation and validation study. Eur J Emerg Med 2014; 21:30-36
37. Wang HE, Shapiro NI, Griffin R, et al. Inflammatory and endothelial activation biomarkers and risk of sepsis: A nested case-control study. J Crit Care 2013; 28:549-555
38. Wong HR, Lindsell CJ, Pettilä V, et al. A multibiomarker-based outcome risk stratification model for adult septic shock. Crit Care Med 2014; 42:781-789
39. Muntner P, Colantonio LD, Cushman M, et al. Validation of the atherosclerotic cardiovascular disease Pooled Cohort risk equations. JAMA 2014; 311:1406-1415