Microbiological Status of Venous Leg Ulcers and Its Predictors: A Single-Center Cross-Sectional Study

Cwajda‐Białasik, Justyna; Mościcka, Paulina; Jawień, Arkadiusz; Szewczyk, Maria T.

doi:10.3390/ijerph182412965

Cited by 12 publications

(13 citation statements)

References 35 publications

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“…Venous leg ulcers are the most common chronic wounds, in which cyan fluorescence was detected. It corresponds to known high incidence of Pseudomonas aeruginosa on the surface of venous ulcers [32,33]. As demonstrated in one study [19], a 78-year-old female patient presented with a venous leg ulcer, with no overt signs and symptoms of infection; as a result, antimicrobial therapy was discontinued.…”

Section: Discussionmentioning

confidence: 90%

Fluorescence – modern method of the diagnosis of chronic wounds on the example of venous leg ulcerb

Mościcka¹,

Cwajda‐Białasik²,

Jawień³

et al. 2023

pdia

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Introduction: Fluorescence imaging has become a method for bacterial visualisation in chronic wounds for the last few years. MolecuLight i:X (MolecuLight, Inc, ON, Canada) is a handheld device, which enables quick diagnostics to determine both the type and location of pathogens present in the wound and on the skin. By means of fluorescent light illumination the tissues populated by pathogenic bacteria emit red or cyan fluorescent signatures, depending on the type of the pathogen: red fluorescence signal is emitted by Staphylococcus and Escherichia coli among others, while Pseudomonas aeruginosa produce cyan fluorescence. The fluorescence image also presents the spatial pattern of bacterial load, which creates bacterial mapping of the wound and may be used by a clinician for targeted sampling or debridement, among others. Aim: This study presents the method of microbiological fluorescent imaging and two case studies of patients with venous leg ulcers. Material and methods: In both cases, the sample for microbiological testing was obtained by means of a swab stick. Results: The results obtained from fluorescent imaging showed moderate-to-heavy bacterial load, which corresponded with the results from microbiology laboratory. Thanks to quick diagnostics with the use of MolecuLight i:X device, instant implementation of targeted topical actions such as wound hygiene, skin disinfection, appropriate dressing choice and curative treatment among others was possible. Conclusions: Our observations are consistent with the reports from other facilities.

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Section: Discussionmentioning

confidence: 90%

Fluorescence – modern method of the diagnosis of chronic wounds on the example of venous leg ulcerb

Mościcka¹,

Cwajda‐Białasik²,

Jawień³

et al. 2023

pdia

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“…This was a retrospective study based on a prospective dataset study on patients with VLUs from 2001 to February 2019 that have previously been described by the authors 16,17 . The cross‐sectional study included 754 patients with VLUs qualified for treatment at the Chronic Wound Treatment Unit of the University Hospital No.…”

Section: Methodsmentioning

confidence: 99%

“…This was a retrospective study based on a prospective dataset study on patients with VLUs from 2001 to February 2019 that have previously been described by the authors. 16,17 The cross- for chronic venous disease on enrolment, with only C6 patients included in the study. In accordance with recommendations, we used compression therapy (40 mmHg at the ankle area) in the form of compression bandages (short-stretch) or ready-made compression products.…”

Section: Design and Patientsmentioning

confidence: 99%

Evaluation of factors affecting the healing process of venous ulcers: A 12‐week longitudinal study

Mościcka,

Cwajda‐Białasik,

Jawień

et al. 2023

Wound Repair Regeneration

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The process of healing venous ulcers is complex and influenced by many factors. By identifying the risk factors that influence a slower healing process, it is possible to predict impending delays and plan an individualised care plan. We analysed our database of patients with venous ulcers and identified clinical and demographic factors that delay the healing process. The research analysed the medical records of 754 patients with VLUs at Chronic Wound Treatment Unit of the University Hospital treated between 2001 and 2019. In study, the majority (64.3%) were women, the mean age was 65.7 years. The median duration of Chronic Venous Insufficiency was 24 years, 52% patients had had the disease >20 years, and 296 (39.3%) had experienced ulceration >12 months. Most of the patients (85.8%) had comorbidities, 84% were obese. At 12‐week follow‐up, 432 of the 754 ulcers had healed. Identified independent predictors of slower ulcer healing rates: wound area greater than 8.25 cm2, location of the ulceration other than the medial ankle area, underlying disease >20 years, the presence of multiple comorbidities, depth of the ulcer, the presence of an unpleasant smell and alert pathogens. The presence of redness resulted in faster healing of VLUc. Many factors influence the healing process of venous ulceration. The results of the study can help in planning patient care and implementing appropriate early strategies to promote healing.

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“…To confirm our hypothesis, we extended our proteome database to include 4 more reference proteomes from pathogens commonly found in wound fluids (E. Coli, P. aeruginosa, S. aureus and Citrobacter sp. [60][61][62] ). A small fraction of IN at 5% FDR were sequences mapping to pathogens of interest.…”

Section: Instanovo Detects Pathogens In Human Patient Wound Fluidsmentioning

confidence: 99%

De novo peptide sequencing with InstaNovo: Accurate, database-free peptide identification for large scale proteomics experiments

Eloff,

Kalogeropoulos,

Morell

et al. 2023

Preprint

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Bottom-up mass spectrometry-based proteomics is challenged by the task of identifying the peptide that generates a tandem mass spectrum. Traditional methods that rely on known peptide sequence databases are limited and may not be applicable in certain contexts. De novo peptide sequencing, which assigns peptide sequences to the spectra without prior information, is valuable for various biological applications; yet, due to a lack of accuracy, it remains challenging to apply this approach in many situations. Here, we introduce InstaNovo, a transformer neural network with the ability to translate fragment ion peaks into the sequence of amino acids that make up the studied peptide(s). The model was trained on 28 million labelled spectra matched to ~742k human peptides from the ProteomeTools project. We demonstrate that InstaNovo outperforms current state-of-the-art methods on benchmark datasets and showcase its utility in several applications. Building upon human intuition, we also introduce InstaNovo+, a multinomial diffusion model that further improves performance by iterative refinement of predicted sequences. Using these models, we could de novo sequence antibody-based therapeutics with unprecedented coverage, discover novel peptides, and detect unreported organisms in different datasets, thereby expanding the scope and detection rate of proteomics searches. Finally, we could experimentally validate tryptic and non-tryptic peptides with targeted proteomics, demonstrating the fidelity of our predictions. Our models unlock a plethora of opportunities across different scientific domains, such as direct protein sequencing, immunopeptidomics, and exploration of the dark proteome.

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Microbiological Status of Venous Leg Ulcers and Its Predictors: A Single-Center Cross-Sectional Study

Cited by 12 publications

References 35 publications

Fluorescence – modern method of the diagnosis of chronic wounds on the example of venous leg ulcerb

Fluorescence – modern method of the diagnosis of chronic wounds on the example of venous leg ulcerb

Evaluation of factors affecting the healing process of venous ulcers: A 12‐week longitudinal study

De novo peptide sequencing with InstaNovo: Accurate, database-free peptide identification for large scale proteomics experiments

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