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Items: 1 to 20 of 92

1.

Identifying severe sepsis via electronic surveillance.

Brandt BN, Gartner AB, Moncure M, Cannon CM, Carlton E, Cleek C, Wittkopp C, Simpson SQ.

Am J Med Qual. 2015 Nov-Dec;30(6):559-65. doi: 10.1177/1062860614541291. Epub 2014 Jun 26.

PMID:
24970280
2.

Prospective trial of real-time electronic surveillance to expedite early care of severe sepsis.

Nelson JL, Smith BL, Jared JD, Younger JG.

Ann Emerg Med. 2011 May;57(5):500-4. doi: 10.1016/j.annemergmed.2010.12.008. Epub 2011 Jan 12.

PMID:
21227543
3.

Diagnostic accuracy of a screening electronic alert tool for severe sepsis and septic shock in the emergency department.

Alsolamy S, Al Salamah M, Al Thagafi M, Al-Dorzi HM, Marini AM, Aljerian N, Al-Enezi F, Al-Hunaidi F, Mahmoud AM, Alamry A, Arabi YM.

BMC Med Inform Decis Mak. 2014 Dec 5;14:105. doi: 10.1186/s12911-014-0105-7.

4.

Developing the surveillance algorithm for detection of failure to recognize and treat severe sepsis.

Harrison AM, Thongprayoon C, Kashyap R, Chute CG, Gajic O, Pickering BW, Herasevich V.

Mayo Clin Proc. 2015 Feb;90(2):166-75. doi: 10.1016/j.mayocp.2014.11.014. Epub 2015 Jan 6.

PMID:
25576199
5.

An Algorithm for Systemic Inflammatory Response Syndrome Criteria-Based Prediction of Sepsis in a Polytrauma Cohort.

Lindner HA, Balaban Ü, Sturm T, Weiß C, Thiel M, Schneider-Lindner V.

Crit Care Med. 2016 Dec;44(12):2199-2207.

PMID:
27441906
6.

Medical decision support using machine learning for early detection of late-onset neonatal sepsis.

Mani S, Ozdas A, Aliferis C, Varol HA, Chen Q, Carnevale R, Chen Y, Romano-Keeler J, Nian H, Weitkamp JH.

J Am Med Inform Assoc. 2014 Mar-Apr;21(2):326-36. doi: 10.1136/amiajnl-2013-001854. Epub 2013 Sep 16.

7.

The natural history of the systemic inflammatory response syndrome (SIRS). A prospective study.

Rangel-Frausto MS, Pittet D, Costigan M, Hwang T, Davis CS, Wenzel RP.

JAMA. 1995 Jan 11;273(2):117-23.

PMID:
7799491
8.

Randomized trial of automated, electronic monitoring to facilitate early detection of sepsis in the intensive care unit*.

Hooper MH, Weavind L, Wheeler AP, Martin JB, Gowda SS, Semler MW, Hayes RM, Albert DW, Deane NB, Nian H, Mathe JL, Nadas A, Sztipanovits J, Miller A, Bernard GR, Rice TW.

Crit Care Med. 2012 Jul;40(7):2096-101. doi: 10.1097/CCM.0b013e318250a887.

9.

Heart rate characteristics monitoring for neonatal sepsis.

Moorman JR, Lake DE, Griffin MP.

IEEE Trans Biomed Eng. 2006 Jan;53(1):126-32.

PMID:
16402612
10.

[The diagnostic value of procalcitonin in severe sepsis].

Andrejaitiene J.

Medicina (Kaunas). 2006;42(1):69-78. Review. Lithuanian.

11.

Validation of Test Performance and Clinical Time Zero for an Electronic Health Record Embedded Severe Sepsis Alert.

Rolnick J, Downing NL, Shepard J, Chu W, Tam J, Wessels A, Li R, Dietrich B, Rudy M, Castaneda L, Shieh L.

Appl Clin Inform. 2016 Jun 22;7(2):560-72. doi: 10.4338/ACI-2015-11-RA-0159. eCollection 2016.

12.

Incidence and Prognostic Value of the Systemic Inflammatory Response Syndrome and Organ Dysfunctions in Ward Patients.

Churpek MM, Zadravecz FJ, Winslow C, Howell MD, Edelson DP.

Am J Respir Crit Care Med. 2015 Oct 15;192(8):958-64. doi: 10.1164/rccm.201502-0275OC.

13.

Objective Sepsis Surveillance Using Electronic Clinical Data.

Rhee C, Kadri S, Huang SS, Murphy MV, Li L, Platt R, Klompas M.

Infect Control Hosp Epidemiol. 2016 Feb;37(2):163-71. doi: 10.1017/ice.2015.264. Epub 2015 Nov 3.

14.

α-1-Acid glycoprotein as a biomarker for the early diagnosis and monitoring the prognosis of sepsis.

Xiao K, Su L, Yan P, Han B, Li J, Wang H, Jia Y, Li X, Xie L.

J Crit Care. 2015 Aug;30(4):744-51. doi: 10.1016/j.jcrc.2015.04.007. Epub 2015 Apr 17.

PMID:
25957497
15.

Novel predictors of sepsis outperform the American Burn Association sepsis criteria in the burn intensive care unit patient.

Mann-Salinas EA, Baun MM, Meininger JC, Murray CK, Aden JK, Wolf SE, Wade CE.

J Burn Care Res. 2013 Jan-Feb;34(1):31-43. doi: 10.1097/BCR.0b013e31826450b5.

PMID:
23135212
16.

The prevalence and diagnostic utility of systemic inflammatory response syndrome vital signs in a pediatric emergency department.

Scott HF, Deakyne SJ, Woods JM, Bajaj L.

Acad Emerg Med. 2015 Apr;22(4):381-9. doi: 10.1111/acem.12610. Epub 2015 Mar 16.

17.

Sepsis alert and diagnostic system: integrating clinical systems to enhance study coordinator efficiency.

Thompson DS, Oberteuffer R, Dorman T.

Comput Inform Nurs. 2003 Jan-Feb;21(1):22-6; quiz 27-8.

PMID:
12544151
18.

Clinical significance of soluble hemoglobin scavenger receptor CD163 (sCD163) in sepsis, a prospective study.

Feng L, Zhou X, Su LX, Feng D, Jia YH, Xie LX.

PLoS One. 2012;7(7):e38400. doi: 10.1371/journal.pone.0038400. Epub 2012 Jul 20.

19.

The impact of an electronic medical record surveillance program on outcomes for patients with sepsis.

McRee L, Thanavaro JL, Moore K, Goldsmith M, Pasvogel A.

Heart Lung. 2014 Nov-Dec;43(6):546-9. doi: 10.1016/j.hrtlng.2014.05.009. Epub 2014 Jun 21.

PMID:
24961633
20.

The dynamics of disease progression in sepsis: Markov modeling describing the natural history and the likely impact of effective antisepsis agents.

Rangel-Frausto MS, Pittet D, Hwang T, Woolson RF, Wenzel RP.

Clin Infect Dis. 1998 Jul;27(1):185-90.

PMID:
9675475

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