| Literature DB >> 34931445 |
Rosemarie Derwin1, Declan Patton2,3,4, Pinar Avsar5, Helen Strapp6, Zena Moore3,7,8,9,10.
Abstract
To assess the impact of topical agents and dressings on surface wound pH, temperature, and subsequent wound healing. This was a systematic, narrative review of the literature, following the PRISMA (2020) guidelines. The databases searched were Medline PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Library, Embase, Web of Science, and Scopus. Data synthesis and analysis were conducted using a structured narrative synthesis. The quality of the included clinical studies was appraised using the Evidence-Based Literature (EBL) Critical Appraisal Tool. A total of six clinical studies were assessed as eligible for inclusion, A total of six dressings/topical agents were assessed and the types of wounds included non-healing chronic wounds. Of the studies, five explored pH and one explored temperature. The EBL validity of the clinical studies was low (mean quality score was 51.3%). The five clinical studies that explored pH investigated different dressings and topical agents reporting an associated reduction in pH and improved wound outcomes. One clinical study investigated the impact of topical sodium nitrite on temperature and found that sodium nitrite increased peri-wound skin temperature and improved wound outcomes with a reduction in leg ulcer size. Given the low certainty of the evidence, we cannot confidently recommend the use of any particular topical agent or dressing to manipulate pH, or temperature to improve wound outcomes. Thus, there is a need for further research to develop a greater understanding of this topic. Irish Research Council, Enterprise Partnership Scheme.Entities:
Keywords: dressings; pH; temperature; topical agents; wound healing
Mesh:
Substances:
Year: 2021 PMID: 34931445 PMCID: PMC9493238 DOI: 10.1111/iwj.13733
Source DB: PubMed Journal: Int Wound J ISSN: 1742-4801 Impact factor: 3.099
Excluded studies with reasons
| Study | Reason for exclusion |
|---|---|
| Trop, Waniek | Wound surface temperature not measured. |
| Coats, Edwards | pH or temperature not measured |
| Andrews, Mowlavi | pH or temperature not measured |
| Cuttle, Kempf | pH or temperature not measured |
| Diggelmann, Zytkovicz | Does not include open wounds. |
| Slone, Linton | This is a review, not a research study. |
| Banerjee, Mishra | Development of a sustained delivery dressing. |
| Prabhu, Prasadi | pH at baseline and study end not included. |
| Percival, McCarty | This is a review. |
| Burke‐Smith, Collier | pH or temperature not measured |
| Finzgar, Melik | pH or temperature not measured |
| Heuer, Hoffmanns | pH or temperature not measured |
| Mehmood, Hariz | pH or temperature not measured |
| Cho and Choi | Does not address wounds. |
| Mohan and Ranganathan | pH or temperature not measured. |
| Koehler, Wallmeyer | Development of a dressing. |
FIGURE 1PRISMA 2020 flow diagram for study selection
Results for pH—clinical studies
| Author, year | Intervention | Comparator | Start of Study | Outcome | Funding |
|---|---|---|---|---|---|
| Romanelli et al., (2010) |
| Saline solution in association with standard wound care |
M Median range pH 8. 8.9+/− 0.6 | M Median range pH 7.0 7.0 +/− 0.3 in (p ( |
Y Yes Partially financed by B. Braun Medical AG |
| Kumar et al., (2015) | Limited access dressing (LAD) (Negative pressure and moist wound dressing. | Dressed daily with 5% povidone‐iodine soaked gauze |
LAD
Conventional dressing Day 0: 8.31 ± 0.38 |
LAD Day 10: 7.5 ± 0.43 (mean ± SD) Conventional dressing Day 10: 7.9 ± 0.47 ( | No |
| Agrawa et al. (2017) | 1% Acetic Acid | No comparator | Start of study pH 9 | End of study pH 7 | No |
| Rafter et al.,(2017) | Manuka Honey | No comparator | Reduction in wound pH at end of study ( |
Yes Educational grant Advancis Medical. | |
| Strohal et al., (2018), | Acid oxidising Solution | No comparator |
Day 0: pH (9.25 +/− 0.61). Wound size cm23.06 0.49–32.79 (min/max) |
Day 28: pH (7.68 +/− 0.71) ( ( |
Yes APR Applied Pharma research |
Quality appraisal
| Overall validity of included studies (%) including the validity of each category | |||||
|---|---|---|---|---|---|
| Authors | Population | Data collection | Study design | Results | Overall Validity |
| Romanelli et al., (2010) | 57% (Not valid) | 80% (Valid) | 60% (Not valid) | 60% (Not valid) | 64% (Not valid) |
| Kumar et al., (2015) | 25% (Not valid) | 50% (Not valid) | 40% (Not valid) | 20% (Not valid) | 30% (Not Valid) |
| Agrawa et al., (2017) | 60% (Not valid) | 33% (Not valid) | 40% (Not valid) | 40% (Not Valid) | 40% (Not valid) |
| Rafter et al.,(2017) | 60% (Not valid) | 50% (Not valid) | 60% (Not valid) | 40% (Not valid) | 52% (Not valid) |
| Strohal et al., (2018), | 66% (Not valid) | 80% (Valid) | 60% (Not valid) | 60% (Not valid) | 66% (Not valid) |
| Minniti et al., | 50% (Not valid) | 40% (Not valid) | 60% (Not valid) | 67% (Not valid) | 58% (Not valid) |