Application of Biomarkers Change to Predict Outcome of Patient With Severe Sepsis
BCSS
1 other identifier
observational
300
1 country
1
Brief Summary
In 2004, the Surviving Sepsis Campaign (SSC) introduced guidelines for the management of severe sepsis and septic shock, as well as strategies for bedside implementation. The treatment recommendations were organized in two bundles. In an international study, enrolling adult patients with severe sepsis admitted to these intensive care units, investigators found that while mortality from severe sepsis is high (44.5%), compliance with resuscitation and management bundles is generally poor in much of Asia. Investigators need to identify the patients at risk for high in-hospital mortality in order to take appropriate steps. From their past studies, investigators found that sepsis involved inflammation and coagulation. The multiple organ involvement was associated with interaction of novel biomarkers such as cytokines. There is limited data regarding comparing and application of biomarkers of different characteristic on sepsis treatment. A simultaneous detection of multiple cytokines may provide significant prognostic information. For other biomarkers, promising observation data have been put forward, but their potential needs to be evaluated in large-scale, well-designed prospective intervention studies before clinical use can be recommended. Besides many clinical studies on biomarkers were confounded by its lack of standard bundle care for severe sepsis patient. Here investigators performed a systematic study aimed at evaluating
- 1.the individual and combined diagnostic accuracy of biomarkers for predicting mortality;
- 2.whether trend change in biomarker level more useful for above prediction;
- 3.which biomarker or biomarker combination checked can predict patients at risk of evolving with severe organ dysfunctions.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jul 2013
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 1, 2013
CompletedFirst Submitted
Initial submission to the registry
September 1, 2015
CompletedFirst Posted
Study publicly available on registry
August 18, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2018
CompletedJuly 18, 2018
June 1, 2018
5.4 years
September 1, 2015
July 16, 2018
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Development of immune dysfunction score to predict 28-day mortality of sepsis patients
Several existing scoring systems developed for mortality prediction, such as APACHE II and Sequential Organ Failure Assessment score (SOFA score). However, none of these take immune dysfunction status into account. With a substantial degree of heterogeneity in the sepsis response ranging from cytokines storm to immunoparalysis, better patient stratification is needed. Investigators aimed to develop and validate a scoring system (minimum:0 to maximum:6 scores) that can determine patients' immune dysfunction status related to outcomes.
baseline and 4 weeks, up to 24 weeks
Secondary Outcomes (2)
Deteriorated dynamic acute kidney injury (AKI) stage associated with immune dysfunction and higher mortality in Septic Patients Admitted to Intensive Care Unit
baseline and 4 weeks, up to 24 weeks
To determine whether delta pulse pressure at day 3 compared with day 1 affect survival outcomes in patients who were diagnosed sepsis and septic shock.
baseline and 4 weeks
Eligibility Criteria
The study will be conducted at Kaohsiung Chang Gung Memorial Hospital. All adult patients presenting with sepsis or severe sepsis will be enrolled on admission to medical intensive units (total 34 beds). Sepsis and severe sepsis are defined as American College of Chest Physicians/Society of Critical Care Medicine consensus criteria for sepsis syndromes.
You may qualify if:
- Severe sepsis
- Septic shock
You may not qualify if:
- Patients are \< 18 yrs
- Patients are immunocompromised (treatment with corticosteroids \>1 mg/kg equivalent prednisone)
- Bone marrow or organ transplant recipients,
- Leucopenia \[white blood cells count\< 109/L\] or neutropenia \[polymorphonuclear granulocyte count \<0.5 109/L\]
- Hematologic malignancy
- Acquired immune deficiency syndrome
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Chang Gung Memorial Hospital
Kaohsiung City, Taiwan
Related Publications (12)
Neveu H, Kleinknecht D, Brivet F, Loirat P, Landais P. Prognostic factors in acute renal failure due to sepsis. Results of a prospective multicentre study. The French Study Group on Acute Renal Failure. Nephrol Dial Transplant. 1996 Feb;11(2):293-9. doi: 10.1093/oxfordjournals.ndt.a027256.
PMID: 8700363RESULTVincent JL, Abraham E, Annane D, Bernard G, Rivers E, Van den Berghe G. Reducing mortality in sepsis: new directions. Crit Care. 2002 Dec;6 Suppl 3(Suppl 3):S1-18. doi: 10.1186/cc1860. Epub 2002 Dec 5.
PMID: 12720570RESULTSalluh JI, Bozza PT. Biomarkers of sepsis: lost in translation? Crit Care Med. 2008 Jul;36(7):2192-4. doi: 10.1097/CCM.0b013e31817c0cd8. No abstract available.
PMID: 18594226RESULTShiramizo SC, Marra AR, Durao MS, Paes AT, Edmond MB, Pavao dos Santos OF. Decreasing mortality in severe sepsis and septic shock patients by implementing a sepsis bundle in a hospital setting. PLoS One. 2011;6(11):e26790. doi: 10.1371/journal.pone.0026790. Epub 2011 Nov 3.
PMID: 22073193RESULTNguyen HB, Corbett SW, Steele R, Banta J, Clark RT, Hayes SR, Edwards J, Cho TW, Wittlake WA. Implementation of a bundle of quality indicators for the early management of severe sepsis and septic shock is associated with decreased mortality. Crit Care Med. 2007 Apr;35(4):1105-12. doi: 10.1097/01.CCM.0000259463.33848.3D.
PMID: 17334251RESULTPhua J, Koh Y, Du B, Tang YQ, Divatia JV, Tan CC, Gomersall CD, Faruq MO, Shrestha BR, Gia Binh N, Arabi YM, Salahuddin N, Wahyuprajitno B, Tu ML, Wahab AY, Hameed AA, Nishimura M, Procyshyn M, Chan YH; MOSAICS Study Group. Management of severe sepsis in patients admitted to Asian intensive care units: prospective cohort study. BMJ. 2011 Jun 13;342:d3245. doi: 10.1136/bmj.d3245.
PMID: 21669950RESULTJones AE, Puskarich MA. Is lactate the "Holy Grail" of biomarkers for sepsis prognosis? Crit Care Med. 2009 May;37(5):1812-3. doi: 10.1097/CCM.0b013e3181a09487. No abstract available.
PMID: 19373056RESULTSchuetz P, Haubitz S, Mueller B. Do sepsis biomarkers in the emergency room allow transition from bundled sepsis care to personalized patient care? Curr Opin Crit Care. 2012 Aug;18(4):341-9. doi: 10.1097/MCC.0b013e328354b2c8.
PMID: 22610364RESULTKwak SH, Wang XQ, He Q, Fang WF, Mitra S, Bdeir K, Ploplis VA, Xu Z, Idell S, Cines D, Abraham E. Plasminogen activator inhibitor-1 potentiates LPS-induced neutrophil activation through a JNK-mediated pathway. Thromb Haemost. 2006 May;95(5):829-35.
PMID: 16676075RESULTWang XQ, Bdeir K, Yarovoi S, Cines DB, Fang W, Abraham E. Involvement of the urokinase kringle domain in lipopolysaccharide-induced acute lung injury. J Immunol. 2006 Oct 15;177(8):5550-7. doi: 10.4049/jimmunol.177.8.5550.
PMID: 17015742RESULTHoke TS, Douglas IS, Klein CL, He Z, Fang W, Thurman JM, Tao Y, Dursun B, Voelkel NF, Edelstein CL, Faubel S. Acute renal failure after bilateral nephrectomy is associated with cytokine-mediated pulmonary injury. J Am Soc Nephrol. 2007 Jan;18(1):155-64. doi: 10.1681/ASN.2006050494. Epub 2006 Dec 13.
PMID: 17167117RESULTLin MC, Leung SY, Fang WF, Chin CH, Chung KF. Down-regulation of insulin-like growth factor I (IGF-I) in the mouse diaphragm during sepsis. Chang Gung Med J. 2010 Sep-Oct;33(5):501-8.
PMID: 20979700RESULT
Biospecimen
Serum immunological biomarkers including cytokines, blood cell counts,and biochemistry profiles
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Wen-Feng Fang, M.D.
Chang Gung Memorial Hospital
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 1, 2015
First Posted
August 18, 2016
Study Start
July 1, 2013
Primary Completion
December 1, 2018
Study Completion
December 1, 2018
Last Updated
July 18, 2018
Record last verified: 2018-06