Submitted:
25 September 2024
Posted:
25 September 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Demographics of Sepsis
3. Pathophysiology and Immunological Aspects of Sepsis across Ages
4. Biomarkers and Sepsis
5. Presepsin as a Sepsis Biomarker across Age Groups

5.1. Presepsin as a Sepsis Biomarker in Neonates and Children
5.2. Presepsin as a Sepsis Biomarker in Adults
5.3. Presepsin as a Sepsis Biomarker in Older Adults
6. Published Meta-Analysis on Presepsin as Sepsis Biomarker
7. Discussion
8. Conclusions
Funding
Generative Intelligence Application
Acknowledgments
Conflicts of Interest
References
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| Age Group | Author | Admission Medium PSP Levels (ng/mL) | Cutoff Values (ng/mL) | |||
|---|---|---|---|---|---|---|
| Sepsis | Non Sepsis | Survivor | Non Survivor | |||
| Neonates & children | Poggi et al. 2015 [107] | 1295 | 562 | - | - | 885 |
| Pugni et al. 2015 [79] | - | 649 | - | - | - | |
| Montaldo et al. 2016 [80] | 598 | 328 | - | - | 788 * | |
| Korpelainen et al. 2017 [84] | 1432 | - | - | - | - | |
| Bellos et al. 2018 [82] | - | - | - | - | 650–850 ** | |
| Baraka et al. 2018 [86] | 1014 | 178 | - | - | Multiple | |
| Yoon et al. 2019 [83] | - | - | - | - | 650 ** | |
| Puspaningtyas et al. 2023 [77] | 806.5 | 717 | - | - | 761 * | |
| Adults | Shozushima et al. 2011 [104] | 817.9 | 190 | - | - | 399 |
| Endo et al. 2012 [105] | 1579 | 312 | - | - | Multiple | |
| Giavarina et al. 2015 [87] | 55-184 | - | - | - | - | |
| Ali et al. 2016 [114] | 1183 | 472 | 615,5 | 1301 | Multiple | |
| Yu et al. 2017 [115] | - | - | 1230,5 | 1269 | - | |
| Claessens et al. 2017 [99] | 476 | 200 | - | - | - | |
| Ikeda et al. 2019 [89] | - | - | 3251 | 1108 | - | |
| Zvyagyn et al. 2019 [88] | - | - | 1718 | 3266 | - | |
| Dragoş et al. 2023 [96] | 1039 | 372 | - | - | - | |
| Old adults | Imai et al. 2019 [97] | 639.93 | 866.56 | - | - | 285 |
| Ruangsomboon et al. 2020 [98] | 746 | 316 | 470 | 795 | Multiple | |
| Aspects | Pediatric | Adult | Elderly |
|---|---|---|---|
| Positive | Early elevation, affordable cost, better diagnostic performance (PCT and CRP) and prognostic validity (30-day mortality), monitoring of antibiotic therapy, levels not influenced by gestational age, predictor of clinical evolution in febrile neutropenics | Better prognostic validity (PCT, CRP, ESR), correlation with hospital mortality in sepsis and septic shock, prognostic validity (28-day mortality), correlation with clinical outcomes, stable in different clinical scenarios (cirrhosis, rheumatoid arthritis, febrile neutropenia) | A better predictor of bacteremia in the Emergency Department (PCT, CRP), similar diagnostic accuracy to PCT, similar prognostic accuracy (qSOFA, SIRS) |
| Negative | Poor predictor of bacterial infection (PCT), non-standardized cutoff points, inaccessible in most scenarios | Poor predictor of bacterial infection (PCT), requires adjustments when kidney function is altered | Diagnostic and prognostic accuracy lower than combination (PCT + CRP + PSP), major renal dysfunction in older adults, specific cutoff point (immunosenescence) |
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