Conectar
Chronic wounds are common in clinical practice, with long treatment cycle and high treatment cost. Changes in wound area can well predict the effectiveness of treatment and the possibility of healing. Therefore, continuous wound monitoring and evaluation are particularly important. Traditional manual wound measurement tends to overestimate wound area. Recently, various intelligent wound measurement devices have been introduced into clinical practice. This review aims to summarise the reliability, validity, types and measurement principles of different intelligent wound measurement devices, so as to analyse the clinical value and application prospect. Articles numbering 2610 were retrieved from the database, and 14 articles met the inclusion criteria. The results showed that the intelligent wound measurement devices included in the study reported good reliability and validity. Contact devices can lead to wound bed damage, wound deformation, patient pain, and is not convenient for electronic wound recording; partial contact devices can complete continuous monitoring and recording of wounds, but are not sensitive to wound depth measurement. Non-contact devices are more accurate in capturing wound images. In addition to wound measurement, they also have the function of wound assessment. In general, handheld and portable non-contact devices have great clinical value and promotion prospects.
Surgical site infection (SSI) is one of the common postoperative complications after caesarean section for pregnant women. Previous studies have investigated the risk factors for SSI in pregnant women undergoing caesarean delivery. Whereas big differences in research results exist, and the correlation coefficients of different research results are quite different. A meta-analysis was conducted to examine the risk factors related to SSI in pregnant women undergoing caesarean delivery. We searched English databases to collect case–control studies or cohort studies published between 1 January 2015 and 15 November 2023, including PubMed, Web of Science and ScienceDirect. The risk of bias of the included studies was assessed via Newcastle-Ottawa Scale. The analysis was performed using RevMan 5.4.1 tool. A total of 24 articles (n = 581, 895) were selected in this meta-analysis. The following risk factors were presented to be significantly correlated with SSI in pregnant women following caesarean delivery: smoking (odds ratio [OR] = 1.64, 95% confidence interval [CI] [1.31, 2.04]), previous caesarean section (OR = 1.46, 95% CI [1.18, 1.82]), multiple vaginal examinations (OR = 2.92, 95% CI [1.91, 4.46]), membrane rupture (OR = 1.68, 95% CI [1.19, 2.38]), hypertensive disorders (OR = 1.85, 95% CI [1.33, 2.57]), diabetes mellitus (OR = 1.36, 95% CI [1.18, 1.57]), high body mass index (OR = 1.57, 95% CI [1.35, 1.84]). Occurrence of SSI is influenced by a variety of factors. Thus, we should pay close attention to high-risk subjects and take crucial targeted interventions to lower the SSI risk after caesarean section. Owing to the limited quality and quantity of the included studies, more rigorous studies with adequate sample sizes are needed to verify the conclusion.
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