BACKGROUND: Procalcitonin is released in response to bacterial infection and it is not released in Inflammatory and viral diseases. OBJECTIVE: To show the diagnostic efficacy and prognostic value of procalcitonin for sepsis. METHODS: A consecutive series of 103 patients with suspected sepsis were admitted to the intensive care unit over a 2-year period. During the first 24 hours of the admission procalcitonin, C-reactive protein, and complement proteins were determined. The diagnostic efficacy was tested with predictive values, likelihood ratios, receiver operating characteristic curves, and multiple logistic regression. The association of procalcitonin with mortality was assessed by the Multivariate Cox proportional hazards model. RESULTS: Procalcitonin had a better positive likelihood ratio than C-reactive protein -2.2 (95% confidence interval: 1.3-3.7) versus 1.1 (95% confidence interval: 0.9-1.2). Sequential Organ Failure Assessment yielded the highest discriminative value, with an area under the curve of 0.82 (95% confidence interval: 0.73-0.92), followed by procalcitonin (0.81; 95% confidence interval: 0.72-0.89). Multivariate regression analysis showed procalcitonin (adjusted odds ratio: 3.8; 95% confidence interval: 1.2-11.8) and Sequential Organ Failure Assessment score (adjusted odds ratio: 5.3; 95% confidence interval: 1.4-19.9) as the only variables independently associated with infection. Multivariate Cox regression analysis revealed that procalcitonin was not independently associated with mortality. CONCLUSIONS: The diagnostic accuracy of procalcitonin was higher than C-reactive protein and complement proteins. Procalcitonin in combination with Sequential Organ Failure Assessment was useful to diagnose infection. C-reactive protein, Sequential Organ Failure Assessment score, age, and gender showed to be helpful to improve the prediction of mortality risk, but not procalcitonin.
BACKGROUND: Procalcitonin is released in response to bacterial infection and it is not released in Inflammatory and viral diseases. OBJECTIVE: To show the diagnostic efficacy and prognostic value of procalcitonin for sepsis. METHODS: A consecutive series of 103 patients with suspected sepsis were admitted to the intensive care unit over a 2-year period. During the first 24 hours of the admission procalcitonin, C-reactive protein, and complement proteins were determined. The diagnostic efficacy was tested with predictive values, likelihood ratios, receiver operating characteristic curves, and multiple logistic regression. The association of procalcitonin with mortality was assessed by the Multivariate Cox proportional hazards model. RESULTS: Procalcitonin had a better positive likelihood ratio than C-reactive protein -2.2 (95% confidence interval: 1.3-3.7) versus 1.1 (95% confidence interval: 0.9-1.2). Sequential Organ Failure Assessment yielded the highest discriminative value, with an area under the curve of 0.82 (95% confidence interval: 0.73-0.92), followed by procalcitonin (0.81; 95% confidence interval: 0.72-0.89). Multivariate regression analysis showed procalcitonin (adjusted odds ratio: 3.8; 95% confidence interval: 1.2-11.8) and Sequential Organ Failure Assessment score (adjusted odds ratio: 5.3; 95% confidence interval: 1.4-19.9) as the only variables independently associated with infection. Multivariate Cox regression analysis revealed that procalcitonin was not independently associated with mortality. CONCLUSIONS: The diagnostic accuracy of procalcitonin was higher than C-reactive protein and complement proteins. Procalcitonin in combination with Sequential Organ Failure Assessment was useful to diagnose infection. C-reactive protein, Sequential Organ Failure Assessment score, age, and gender showed to be helpful to improve the prediction of mortality risk, but not procalcitonin.
Authors: Jennifer H Han; Irving Nachamkin; Susan E Coffin; Jeffrey S Gerber; Barry Fuchs; Charles Garrigan; Xiaoyan Han; Warren B Bilker; Jacqueleen Wise; Pam Tolomeo; Ebbing Lautenbach Journal: Antimicrob Agents Chemother Date: 2015-08-03 Impact factor: 5.191
Authors: Lori F Gentile; Alex G Cuenca; Erin L Vanzant; Philip A Efron; Bruce McKinley; Frederick Moore; Lyle L Moldawer Journal: Methods Date: 2013-05-11 Impact factor: 3.608