Prognostic values of procalcitonin and platelet in the patient with urosepsis

Abstract

Background: The patient suffering from urinary sepsis is often accompanied by elevated serum procalcitonin (PCT) levels and a decline in the average platelet count (PLT), which could result in a poor prognosis. This study aimed to evaluate the value of PCT and PLT in determining the severity of urinary sepsis. Methods: A total of 120 urosepsis patients enrolled were divided into a survival group and a death group, respectively, according to their status within 14 days after admission. Changes in PCT and PLT levels between the 2 groups were compared at different time points. A receiver operating characteristic (ROC) curve was eventually obtained to predict the prognostic value of PCT and PLT. Results: The PCT levels in the survival group declined gradually after admission, and the PLT decreased at first but increased rapidly in subsequence. The PCT level in the death group, however, declined in a flat-slope trend or was hardly noticeable together with the number of PLT reduced significantly. In particular, it is on the 3rd day that PCT tended to positively correlate with acute physiological and chronic health score II (APACHE II) score ( r = 0.730, P < .05), but negatively with PLT ( r = 0.472, P < .05). The APACHE II score and PLT ( r = 0.612, P < .05) were also negatively correlated with each other. As indicated by the ROC curve, the PCT level on the 3rd day after admission was of great value for the clinical mortality prognosis, and the area under the curve was 0.858. Moreover, PLT also has a high predictive value for prognosis. Area under the curve is 0.951. When the PLT was more than 51 × 10 9 /L, the sensitivity was up to 90%, and the specificity was 90%. Conclusion: PLT and PCT levels are closely related to the APACHE II score, which could indicate the severity of urosepsis in patients. The contribution of this study was to confirm that dynamic monitoring of the changes in PCT and PLT helps determine the prognosis of urosepsis patients.

Machine learning diagnosis by immunoglobulin N‐glycan signatures for precision diagnosis of urological diseases

“…In US with UTI‐specific detection, galactosyl bisecting GlcNAc core fucosyl N ‐glycan (G2FB) on Ig was found to be the main contributor. Although procalcitonin and the platelet count are useful for evaluating the severity of US, more precise diagnostic biomarkers are required for evaluation of the severity of disease 5,6 . The US score could be a promising biomarker of severe US detection.…”

“…Although procalcitonin and the platelet count are useful for evaluating the severity of US, more precise diagnostic biomarkers are required for evaluation of the severity of disease. 5,6 The US score could be a promising biomarker of severe US detection.…”

“…4 Urosepsis is the most common severe disease resulting from UTI and it requires accurate and timely diagnosis to evaluate severity. 5,6 Therefore, more powerful and less invasive biomarkers that can be used simultaneously are needed to identify urological diseases and improve patient outcomes.…”

“…Human chorionic gonadotropin, α‐fetoprotein, and lactate dehydrogenase are useful for detecting and monitoring GCT; however, not all GCT cases are marker positive 4 . Urosepsis is the most common severe disease resulting from UTI and it requires accurate and timely diagnosis to evaluate severity 5,6 . Therefore, more powerful and less invasive biomarkers that can be used simultaneously are needed to identify urological diseases and improve patient outcomes.…”

UHPLC/MS-Based Serum Metabolomics Reveals the Mechanism of Radiation-Induced Thrombocytopenia in Mice

“…Platelets not only play an important role in the regulation of hemostasis and thrombosis, but also in innate immunity and the regulation of tumor growth and extravasation [ 6 ]. Platelet levels have been reported to be associated with the prognosis of diseases [ 7 , 8 , 9 ]. In fact, the mean platelet volume (MPV) and MPV/PLT ratio (MPR) can be used to predict 28-day mortality in patients with COVID-19 pneumonia [ 10 ].…”