Literature DB >> 32116318

Evaluation of C-reactive protein, procalcitonin and the PCR/PCT index as indicators of mortality in abdominal sepsis.

Ansony R Godínez-Vidal1, Raymundo Alcántara-Gordillo1, Vania I Aguirre-Rojano1, Sandra C López-Romero2, Mariel González-Calatayud2, Luis G González-Pérez2, Abraham Pulido-Cejudo1, Noé I Gracida-Mancilla2.   

Abstract

BACKGROUND: Biomarker combinations can improve timely diagnosis and survival.
OBJECTIVE: To determine the usefulness of serum procalcitonin concentration (PCT), C-reactive protein (PCR) and the PCR / PCT index as predictors of mortality.
METHOD: Retrospective study of patients diagnosed with abdominal sepsis during the period from April 2017 to February 2018.
RESULTS: We included 182 cases. In the survivors, the mean PCR was 170 and procalcitonin (PCT) 10.5. In the deceased, the mean of C-reactive protein (CRP) was 328 and that of PCT was 17.6. When applying the student's t-test for independent samples, it was found that these differences were significant for PCR (p = 0.001); however, for PCT it was not significant (p = 0.460). Afterwards, the PCR/PCT index was studied, as a predictor of mortality, in the deceased cases a PCR/PCT score of 7534 (standard deviation [SD]: 19,303) and for survivors of 538 (SD:805) (p = 0.001) was obtained.
CONCLUSION: CRP is associated with mortality, serum PCT does not correlate with mortality. The PCR/PCT index seems to be a better indicator to predict mortality in patients with abdominal sepsis due to secondary peritonitis. Copyright:
© 2020 Permanyer.

Entities:  

Keywords:  Mortalidad; Mortality; Procalcitonin; Procalcitonina; Proteína C reactiva; Reactive protein C; Sepsis

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Year:  2020        PMID: 32116318     DOI: 10.24875/CIRU.19000993

Source DB:  PubMed          Journal:  Cir Cir        ISSN: 0009-7411            Impact factor:   0.361


  3 in total

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Authors:  Tung-Lin Tsui; Ya-Ting Huang; Wei-Chih Kan; Mao-Sheng Huang; Min-Yu Lai; Kwo-Chang Ueng; Chih-Chung Shiao
Journal:  PLoS One       Date:  2021-01-22       Impact factor: 3.240

2.  Differential gene expression analysis following olfactory learning in honeybee (Apis mellifera L.).

Authors:  Muhammad Fahad Raza; Muhammad Anwar; Arif Husain; Muhmmad Rizwan; Zhiguo Li; Hongyi Nie; Pavol Hlaváč; M Ajmal Ali; Ahmed Rady; Songkun Su
Journal:  PLoS One       Date:  2022-02-09       Impact factor: 3.240

3.  Independent Risk Factors for Sepsis-Associated Cardiac Arrest in Patients with Septic Shock.

Authors:  Won Soek Yang; Youn-Jung Kim; Seung Mok Ryoo; Won Young Kim
Journal:  Int J Environ Res Public Health       Date:  2021-05-07       Impact factor: 3.390

  3 in total

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