Presepsin as a predictor of septic shock in patients with urinary tract infection

"Urinary tract infection: Conventional testing to developing Technologies"

Urinary tract infections (UTIs) present an escalating global health concern, precipitating increased hospitalizations and antibiotic utilization, thereby fostering the emergence of antimicrobial resistance. Current diagnostic modalities exhibit protracted timelines and substantial financial burdens, necessitating specialized infrastructures. Addressing these impediments mandates the development of a precise diagnostic paradigm to expedite identification and augment antibiotic stewardship. The application of biosensors, recognized for their transformative efficacy, emerges as a promising resolution. Recent strides in biosensor technologies have introduced pioneering methodologies, yielding pertinent biosensors and integrated systems with significant implications for point-of-care applications. This review delves into historical perspectives, furnishing a comprehensive delineation of advancements in UTI diagnostics, disease etiology, and biomarkers, underscoring the potential merits of these innovations for optimizing patient care.

Presepsin predicts 1-year all-cause mortality better than N-terminal pro-B-type natriuretic peptide in patients undergoing transcatheter aortic valve implantation

Aim: Presepsin is a sensitive biomarker for the diagnosis and estimation of prognosis in septic patients. The prognostic role of presepsin in patients undergoing transcatheter aortic valve implantation (TAVI) has never been investigated. Patients, materials & methods: In 343 patients, presepsin and N-terminal pro-B-type natriuretic peptide were measured before TAVI. One-year all-cause mortality was used as outcome measure. Results: Patients with high presepsin levels were more likely to succumb than patients with low presepsin values (16.9% vs 12.3%; p = 0.015). Elevated presepsin remained a significant predictor of 1-year all-cause mortality (odds ratio: 2.2 [95% CI: 1.12-4.29]; p = 0.022) after adjustment. N-terminal pro-B-type natriuretic peptide did not predict 1-year all-cause mortality. Conclusion: Elevated baseline presepsin levels are an independent predictor of 1-year mortality in TAVI patients.

Diagnostic value of presepsin in odontogenic infection: a retrospective study

BACKGROUND

Most head and neck infections originate from odontogenic causes; therefore, it is important to determine the severity of odontogenic infections. Since severe infection can cause sepsis, a systemic examination should be performed when evaluating a patient with odontogenic infection. C-reactive protein (CRP), white blood cell count (WBC), procalcitonin (PCT), and presepsin (PSEP) can be used to evaluate the severity of inflammatory status and sepsis in patients in the early stages of visiting the emergency room. Moreover, sepsis can be diagnosed based on the systemic inflammatory response syndrome (SIRS) classification. In relation to PSEP, significant study results on sepsis have been reported in other organ infections. However, there has been no progress in odontogenic infection; therefore, this study aimed to determine the diagnostic value of sepsis derived from odontogenic infection.

METHODS

This study was conducted from March 2021 to October 2021 on 43 patients admitted to the Department of Oral and Maxillofacial Surgery, Dankook University Hospital, in the emergency room for odontogenic infection. All patients underwent vital sign assessment and diagnostic tests (CRP, WBC, PCT, PSEP) in the emergency room. Sepsis was classified according to the SIRS criteria, and CRP, WBC, PCT, and PSEP levels were measured. The Statistical Package for the Social Sciences was used for statistical analyses.

RESULTS

The results of this study showed a moderately positive correlation between CRP and PCT, CRP and PSEP, and CT and PSEP levels. In addition, PCT and PSEP levels showed a positive correlation with sepsis. The odds ratios of sepsis and PCT and sepsis and PSEP were statistically significant. The optimal cut-off values obtained through the receiver operating characteristic curve were 0.24 and 671.5 for PCT and PSEP, respectively. Finally, there were positive correlations between CRP level and length of stay, WBC and Flynn scores, PCT level and Flynn scores, PCT level and length of stay, and PSEP level and length of stay.

CONCLUSION

WBC and CRP and PCT levels have been used in the past to determine the severity of infection and sepsis in patients with odontogenic infection, but PSEP was also found to have diagnostic value in this study. According to this study, a PSEP level of 671.5 pg/ml or higher for odontogenic infection can be considered an abnormal level.

Prediction of Postoperative Sepsis Based on Changes in Presepsin Levels of Critically Ill Patients with Acute Kidney Injury after Abdominal Surgery

Presepsin (PSP) is a viable biomarker for the detection of bacterial infection, but it lacks accuracy when acute kidney injury (AKI) develops. Herein, we evaluated the diagnostic and prognostic value of PSP in predicting postoperative sepsis after abdominal surgery respective to the degree of AKI. A total of 311 patients who underwent abdominal surgery and were admitted to a surgical intensive care unit were enrolled and classified into non-AKI, mild-AKI (stage 1, stage 2 and stage 3 without renal replacement therapy (RRT)) and severe-AKI (stage 3 with RRT) group, according to the Kidney Disease Improving Global Outcomes criteria. In each group, PSP and other biomarkers were statistically analyzed between non-sepsis and postoperative sepsis at the admission (T0), 24 h (T1), 48 h (T2) and 72 h (T3) after surgery. In non-AKI and mild-AKI group, PSP levels were significantly higher in postoperative sepsis than non-sepsis group, whereas no difference was detected in the severe-AKI group. Cutoff values of PSP in the mild-AKI group for the prediction of postoperative sepsis were 544 pg/mL (AUC: 0.757, p < 0.001) at T0 and 458.5 pg/mL (AUC: 0.743, p < 0.001) at T1, significantly higher than in non-AKI group. In multivariate analysis, predictors of postoperative sepsis in the mild-AKI group were PSP at T2 (odds ratio (OR): 1.002, p = 0.044) and PSP at T3 (OR: 1.001, p = 0.049). PSP can be useful for predicting newly developed sepsis in patients with transient AKI after abdominal surgery with modified cutoff values.