ArticleBMC infectious diseases2025
Enhancing early diagnosis and monitoring of wound infections caused by multiple bacteria in tissues through digital PCR integration with cutaneous infection biomarkers.
Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- BPEI-Stabilized Photocatalytic Au/Titania Nanoclusters with Enhanced Antimicrobial Activity for Wound Healing Applications.International journal of nanomedicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study explores the potential of combining digital polymerase chain reaction (PCR) with cutaneous infection biomarkers for the early diagnosis and monitoring of wound infections caused by multiple bacteria.
methodsWe selected a cohort of 276 patients with wounds who were admitted to our hospital from July 2022 to July 2023. These patients were categorized into 46 infection cases and 230 non-infection cases based on clinical evaluation. Clinical data, including routine blood tests [Red Blood Cell count (RBC), Hemoglobin (Hb), White Blood Cell count (WBC), Platelets (PLT)], D-dimer (D-D), and blood biochemistry parameters (liver function, lipid profile, blood glucose, renal function), were collected from both groups. Bacterial cultures were obtained from the infection group, and digital PCR targeting multiple bacteria (Pseudomonas aeruginosa, Staphylococcus aureus, Acinetobacter baumannii, Escherichia coli, Klebsiella pneumoniae) was performed. Logistic regression analysis was conducted to identify risk factors for wound infection, and receiver operating characteristic (ROC) curves were generated to assess the diagnostic performance of digital PCR in conjunction with cutaneous infection biomarkers.
resultsNo significant differences were observed between the infection and non-infection groups regarding age, gender, body mass index (BMI), or wound characteristics (P > 0.05). However, the infection group exhibited significantly higher levels of RBC, Hb, WBC, PLT, and D-D (P < 0.05). Key factors influencing wound infections included WBC, PLT, glycosylated hemoglobin, and the specific bacteria identified. ROC curve analysis revealed area under the curve (AUC) values for individual markers, with a combined AUC of 0.899, demonstrating excellent diagnostic performance.
conclusionDigital PCR, when combined with cutaneous infection biomarkers, proves to be an effective diagnostic tool for wound infections. This approach shows great promise in clinical applications, with the potential to significantly improve patient outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.