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2102. Does Monitoring Procalcitonin Levels in Septic and Septic Shock Patients Decrease the Use of Antibiotics and Predict Length of Hospital Stay?

BACKGROUND: Elevated levels of procalcitonin (PCT) reflect systemic inflammation associated with bacterial infection (BI). Compared with other acute-phase reactants, PCT levels more rapidly rise with BI and decline quickly as BI improves. A PCT protocol was implemented at University Medical Center N...

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Autores principales: Bilbe, Sarah E, Azhar, Ashaur, Brakta, Fatima Z, Aymond, Katherine N, Nsuami, M Jacques, Figueroa, Julio E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808894/
http://dx.doi.org/10.1093/ofid/ofz360.1782
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author Bilbe, Sarah E
Azhar, Ashaur
Brakta, Fatima Z
Aymond, Katherine N
Nsuami, M Jacques
Figueroa, Julio E
author_facet Bilbe, Sarah E
Azhar, Ashaur
Brakta, Fatima Z
Aymond, Katherine N
Nsuami, M Jacques
Figueroa, Julio E
author_sort Bilbe, Sarah E
collection PubMed
description BACKGROUND: Elevated levels of procalcitonin (PCT) reflect systemic inflammation associated with bacterial infection (BI). Compared with other acute-phase reactants, PCT levels more rapidly rise with BI and decline quickly as BI improves. A PCT protocol was implemented at University Medical Center New Orleans (UMCNO) in November 2017 that guided discontinuation of antimicrobial therapy in septic and septic shock patients if clinically improving with declining levels of PCT. METHODS: We performed a retrospective chart review of UMCNO patients 18+ years with a diagnosis of sepsis and a PCT level between January 1(st), 2018 to July 31(st), 2018 compared with those with sepsis and no PCT level. ICD-9/10 codes were used for diagnoses of sepsis and septic shock. The baseline characteristics including age, gender, body mass index, race and Charlston Comorbidity Index (CCI) data were collected. The primary objective was to compare the total days of antibiotic therapy (DOT) between the two groups. Secondary outcomes were broad-spectrum antibiotic DOT, patient length of stay (LOS), and all-cause 28-day mortality. SPSS was used for data analysis. P < 0.05 indicated statistical significance. RESULTS: There were 44 patients in the PCT group (PCTg) and 35 in the non-PCT group (nPCTg). The demographics are outlined in Table. The mean DOT was 6.25 days in PCTg and 10.74 days in nPCTg (P = 0.006). LOS was 7.5 days in PCTg and 14 in nPCTg (P = 0.006). The mean CCI was 2.4 in PCTg and 4 in nPCTg (P = 0.007). The all-cause 28-day mortality was 11% in PCTg and 23% in nPCTg (OR 0.4; 95% CI 0.128–1.466). On bivariate analysis, LOS was significantly associated with CCI (P < 0.05) and total DOT (P = 0.000). On multivariate analysis, LOS was only significantly associated with age (P = 0.015) and total DOT (P = 0.000) but not CCI (P = 0.811) nor PCTg (P = 0.250). CONCLUSION: DOT was significantly shorter in the PCTg than in nPCTg. The LOS was 50% less in PCTg than in nPCTg; however, PCT monitoring did not contribute to LOS in multivariate analysis. Although the nPCTg were sicker, CCI did not correlate with LOS either. However, age and total DOT therapy remained positive predictors of LOS. Monitoring PCT levels decreased antibiotic use in septic patients. LOS, however, was not significantly affected by PCT monitoring. [Image: see text] [Image: see text] [Image: see text] [Image: see text] DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-68088942019-10-28 2102. Does Monitoring Procalcitonin Levels in Septic and Septic Shock Patients Decrease the Use of Antibiotics and Predict Length of Hospital Stay? Bilbe, Sarah E Azhar, Ashaur Brakta, Fatima Z Aymond, Katherine N Nsuami, M Jacques Figueroa, Julio E Open Forum Infect Dis Abstracts BACKGROUND: Elevated levels of procalcitonin (PCT) reflect systemic inflammation associated with bacterial infection (BI). Compared with other acute-phase reactants, PCT levels more rapidly rise with BI and decline quickly as BI improves. A PCT protocol was implemented at University Medical Center New Orleans (UMCNO) in November 2017 that guided discontinuation of antimicrobial therapy in septic and septic shock patients if clinically improving with declining levels of PCT. METHODS: We performed a retrospective chart review of UMCNO patients 18+ years with a diagnosis of sepsis and a PCT level between January 1(st), 2018 to July 31(st), 2018 compared with those with sepsis and no PCT level. ICD-9/10 codes were used for diagnoses of sepsis and septic shock. The baseline characteristics including age, gender, body mass index, race and Charlston Comorbidity Index (CCI) data were collected. The primary objective was to compare the total days of antibiotic therapy (DOT) between the two groups. Secondary outcomes were broad-spectrum antibiotic DOT, patient length of stay (LOS), and all-cause 28-day mortality. SPSS was used for data analysis. P < 0.05 indicated statistical significance. RESULTS: There were 44 patients in the PCT group (PCTg) and 35 in the non-PCT group (nPCTg). The demographics are outlined in Table. The mean DOT was 6.25 days in PCTg and 10.74 days in nPCTg (P = 0.006). LOS was 7.5 days in PCTg and 14 in nPCTg (P = 0.006). The mean CCI was 2.4 in PCTg and 4 in nPCTg (P = 0.007). The all-cause 28-day mortality was 11% in PCTg and 23% in nPCTg (OR 0.4; 95% CI 0.128–1.466). On bivariate analysis, LOS was significantly associated with CCI (P < 0.05) and total DOT (P = 0.000). On multivariate analysis, LOS was only significantly associated with age (P = 0.015) and total DOT (P = 0.000) but not CCI (P = 0.811) nor PCTg (P = 0.250). CONCLUSION: DOT was significantly shorter in the PCTg than in nPCTg. The LOS was 50% less in PCTg than in nPCTg; however, PCT monitoring did not contribute to LOS in multivariate analysis. Although the nPCTg were sicker, CCI did not correlate with LOS either. However, age and total DOT therapy remained positive predictors of LOS. Monitoring PCT levels decreased antibiotic use in septic patients. LOS, however, was not significantly affected by PCT monitoring. [Image: see text] [Image: see text] [Image: see text] [Image: see text] DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6808894/ http://dx.doi.org/10.1093/ofid/ofz360.1782 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Bilbe, Sarah E
Azhar, Ashaur
Brakta, Fatima Z
Aymond, Katherine N
Nsuami, M Jacques
Figueroa, Julio E
2102. Does Monitoring Procalcitonin Levels in Septic and Septic Shock Patients Decrease the Use of Antibiotics and Predict Length of Hospital Stay?
title 2102. Does Monitoring Procalcitonin Levels in Septic and Septic Shock Patients Decrease the Use of Antibiotics and Predict Length of Hospital Stay?
title_full 2102. Does Monitoring Procalcitonin Levels in Septic and Septic Shock Patients Decrease the Use of Antibiotics and Predict Length of Hospital Stay?
title_fullStr 2102. Does Monitoring Procalcitonin Levels in Septic and Septic Shock Patients Decrease the Use of Antibiotics and Predict Length of Hospital Stay?
title_full_unstemmed 2102. Does Monitoring Procalcitonin Levels in Septic and Septic Shock Patients Decrease the Use of Antibiotics and Predict Length of Hospital Stay?
title_short 2102. Does Monitoring Procalcitonin Levels in Septic and Septic Shock Patients Decrease the Use of Antibiotics and Predict Length of Hospital Stay?
title_sort 2102. does monitoring procalcitonin levels in septic and septic shock patients decrease the use of antibiotics and predict length of hospital stay?
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808894/
http://dx.doi.org/10.1093/ofid/ofz360.1782
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