Biomarkers for the early detection of pressure injury: A systematic review and meta-analysis

BACKGROUND: Pressure injury imposes a significant burden for patients and healthcare systems and the majority of pressure injuries are preventable. The early identification of pressure injury is critical for its prevention. As an objective measure, biomarkers have preliminarily shown the potential to identify individuals at risk for developing pressure injury before it is visually observed to occur. However, these results have not been synthesized. OBJECTIVE: To assess and synthesise the predictive effect of different biomarkers in the early detection of pressure injury formation. DESIGN: A systematic review and meta-analysis. DATA SOURCES: PubMed, EMBASE, CINAHL Complete and the Cochrane Library were comprehensively searched for articles up to June 2021. No restrictions were applied to study design type, language, country, race or date of publication. REVIEW METHODS: statistic, and the data was synthesized using StataSE15. RESULTS: Eight observational studies involving 10595 participants were included. The overall pooled area under curve (AUC) and the 95% confidence intervals (CIs) of Serum albumin (Alb) was 0.66(0.62-0.70), and the Serum haemoglobin (Hb) was 0.67(0.60-0.74). The AUC and 95% CI of C-reactive protein (CRP) was 0.62(0.50-0.74), Braden score was 0.56 (0.429-0.691), Waterlow score was 0.729(0.654-0.803), Alb with Waterlow was 0.741(0.694-0.787), and the combination of Hb, CRP, Alb, Age and Gender was 0.79(0.682-0.898). Besides, the chemokine interferon-γ-induced protein of 10kd/CXCL10, cytokine interferon-α, tumor necrosis factor-alpha (TNF-α), granulocyte-macrophage colony-stimulating factor (GM-CSF), interleukin-15 (IL-15) and combination of creatine kinase (CK), myoglobin (Mb), heart-type fatty acid binding protein (H-FABP) and CRP may prove potential for detecting pressure injury. CONCLUSION: The findings suggest the combination of Hb, CRP, Alb, Age and Gender is superior to other biomarkers. However, the predictive effect of biomarkers needs to be confirmed by more researches and patient-level data.