Usefulness of Procalcitonin Levels for Predicting the Microbiological Orientation in Patients with Sepsis

The main objective of the study was to verify whether levels of procalcitonin (PCT) could guide us toward determining the type of bacteria causing the sepsis and to identify the discriminatory cut-off point in the first urgent laboratory test. This study is a single center retrospective analysis tha...

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Veröffentlicht in:Journal of personalized medicine 2024-02, Vol.14 (2), p.208
Hauptverfasser: Gómez, Natalia Fernanda Pascual, Del Pilar Sanz Martín, María, Chong, María Auxiliadora Semiglia, Cruz, Nelly Daniela Zurita, Hernández, Rosa Méndez, Molina, Iñigo Guerra, Sanz, Iñigo García, Tejerina, Angels Figuerola, Rueda, Fernando Ramasco
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Sprache:eng
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Zusammenfassung:The main objective of the study was to verify whether levels of procalcitonin (PCT) could guide us toward determining the type of bacteria causing the sepsis and to identify the discriminatory cut-off point in the first urgent laboratory test. This study is a single center retrospective analysis that includes 371 patients with a mean age of 71.7 ± 15.6 years who were diagnosed with sepsis or septic shock. The yield of blood cultures in demonstrating the causative microbiological agent was 24.3% (90), and it was 57, 1% (212) when evaluating all types of cultures. Statistically significant positive differences were observed in the mean value of the PCT between the group that obtained positive cultures and the group that did not ( < 0.0001). The AUC-ROC of PCT values as a guide to the causal bacteria type was 0.68 (95%CI: 0.57-0.78, < 0.0021). The PCT value that showed the best diagnostic characteristics for identifying Gram-negative rods (GNR) as the causative agent in blood cultures was 2.1 ng/mL. The positive predictive value (PPV) was 78, 9% (66.3-88.1%). The AUC-ROC of the PCT values for sepsis diagnosis, with any positive culture that could be assessed, was 0.67 (95%CI: 0.63-0.73, < 0.0001). The PCT value that showed the best diagnostic characteristic for predicting sepsis was 3.6 ng/mL.
ISSN:2075-4426
2075-4426
DOI:10.3390/jpm14020208