Associations Among Skin Surface pH, Temperature, and Bacterial Burden in Wounds
Bibliographic record
Abstract
GENERAL PURPOSE: To present a cross-sectional cohort study conducted to assess the association between wound pH, local infection, and deep/surrounding infection. TARGET AUDIENCE: This continuing education activity is intended for physicians, physician assistants, nurse practitioners, and nurses with an interest in skin and wound care. LEARNING OBJECTIVES/OUTCOMES: After participating in this educational activity, the participant should be better able to:1. Synthesize the background information associated with the study assessing the association between wound pH, local infection, and deep/surrounding infection.2. Summarize the results of the study presented here. ABSTRACT: BACKGROUNDWounds with a higher pH often demonstrate lower rates of healing. Local and deep/surrounding infection can be diagnosed with the validated NERDS and STONEES clinical signs, respectively. This study assessed the association between wound pH, local infection, and deep/surrounding infection. METHODS: A 100-patient prospective cross-sectional cohort study was conducted with leg and foot wounds. Wound pH was measured using pH indicator strips. The wounds were assessed for clinical signs of local or deep/surrounding infection with the NERDS and STONEES criteria, respectively. Temperature measurements were documented with a handheld infrared skin thermometry device at the wound/periwound site, the equivalent site on the opposite side of the same leg/foot, and the wound mirror image site on the opposite leg/foot. RESULTS: There was no significant difference in the mean wound bed pH in patients with superficial critical colonization and those without (P = .837). The wound and periwound maximum temperature measurements were compared with an equivalent temperature on the mirror image on the opposite leg. There was a statistically significant difference in the mean temperature (ΔT) value between patients with deep/surrounding wound infection and three or more positive STONEES criteria (P = .002). CONCLUSIONS: Nontouch infrared thermometry comparing maximum mirror image wound temperatures versus the opposite extremities when combined with two or more other STONEES criteria is a significant indicator of deep and surrounding infection. Surface wound bed pH indicator strip measurements do not correlate with local wound infection using the NERDS criteria.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".