The predictive value of the inflammatory markers P-selectin and MCP1 in determining the length of stay and 30-day survival in the differentiation of sepsis patients.
J Pak Med Assoc
; 68(9): 1321-1326, 2018 Sep.
Article
em En
| MEDLINE
| ID: mdl-30317258
OBJECTIVE: Sepsis is the leading disease that is diagnosed late and still has a mortal course in emergency departments. The primary factors that will reduce both morbidity and mortality are early diagnosis and an early treatment approach. Therefore, in this study, P-selectin and MCP1 levels, which are known to be markers of inflammation, were examined in patients being followed up in intensive care. METHODS: Patients evaluated with a preliminary diagnosis of sepsis in the emergency intensive care unit between September 2015 and August 2016 were classified as having sepsis or infection according to the Q- SOFA criteria, and the P- selectin values were compared. RESULTS: In the sepsis group, GCS was determined as 13 (12-13), SBP 90 (80-110), tachypnea 24 (22-26), lactate 3.8 (0.6-16.0), MAP 70 (60-77), and LOS 16 days (9.5-20.3). In the ROC analysis, the sensitivity of P-selectin and MCP1 in the differentiation of patients with and without sepsis was 95.7%, and 73.8%, and the specificity was 97.8% and 73.8%, respectively. According to the cutoff values, the sensitivity and specificity in the prediction of patient mortality were 71.4% and 65.6% in P- selectin and 78.6% and 65.6% in MCP1. CONCLUSIONS: The P-selectin and MCP1 values in the emergency department can differentiate sepsis patients according to the Q-SOFA criteria and showed 30-day mortality at a significant level. Therefore, in patients with suspected sepsis in an emergency department, MCP1 can be of benefit to physicians in their decisions regarding LOS and transfer to intensive care.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Sepse
/
Selectina-P
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Infecções
Tipo de estudo:
Diagnostic_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
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Screening_studies
Limite:
Adult
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Aged
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Female
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Humans
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Male
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Middle aged
País/Região como assunto:
Asia
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article