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Background: The present study aims to determine the effect of Transcutaneous Electrical Nerve Stimulation (TENS) on neuro-sensory disturbance after orthognathic surgery. Materials and methods: In a randomized clinical trial, the participants via split-mouth sampling were randomly divided into two intervention (n=27) and control (n=27) groups. In the intervention group, participants received TENS physiotherapy. TENS physiotherapy was performed on the day after surgery, 1, 2, 3, and 4 weeks after surgery, along with prescriptions for the use of painkillers. On the control group, no physical therapy was performed and the patients only used painkillers (immediately after the operation). Paresthesia was evaluated using the 2-point discrimination (TPD) test and the semi-quantitative sensory-neural disorders test called brush stroke 6 months after the surgical procedures. Self-reported sensory-neural disorders were measured and reported for each patient before and 6 months after surgery using the visual analog scale (VAS). Results: A total of 54 patients participated in this study. The mean TPD score in the TENS group and the control group 6 months after the operation were 5.76 (SD=0.73) and 6.14 (SD=0.54), respectively (P=0.003). The mean VAS score in the TENS group and the control group 6 months after the operation was 6.48 (SD=0.50) and 5.80 (SD=0.63), respectively (P=0.005). Also, 66.7 and 38.9% in the TENS and control groups, respectively, performed the brush stroke test correctly (P=0.007). Conclusion: In sum, the benefits of TENS physiotherapy can be effective in reducing complications such as pain in dental surgery treatments or orthognathic surgeries.

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Introduction: The present study employs bioinformatics tools to identify shared upregulated genes between chemical burns and gastric cancer. Methods: Gene Expression Omnibus (GEO) retrieved gene sets for this investigation. GSEs with P value less than 0.05 and LOG fold change (FC) greater than 1 were valid and upregulated. Gastric cancer and chemical burn common elevated genes were found using Venn diagram online tools. In the second stage, the "string" visualized gastric cancer elevated genes network, and non-coding RNAs were deleted, and "interaction" greater than 1 was examined to choose important gene nodes. Next, they explored the String gene-interaction network for common genes. To determine the most interacting genes, Gephi (V 0.9.7) used "betweenness centrality" greater than "0" to evaluate the twenty-gene network. TISIDB and drug banks provide gene-related medications. Results: In the present study, two genes, including ALOX5AP and SERPINB2, were obtained, with the highest centrality among chemical burns and gastric cancer shared genes. Additionally, the current study presented five drugs, including Urokinase, Tenecteplase, DG031, AM103, and Fiboflapon, which can have predicted effects on gastric cancer following chemical burns. Conclusion: According to current in-silicon analyses, ALOX5AP and SERPINB2 are linked genetic keys between gastric chemical burn and cancer. Considering that burn is an environmental factor that leads to the upregulation of the two genes thus, the chemical burn can be related to the incidence of gastric cancer.

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Introduction: Esophageal chemical burns often occur through accidental or intentional oral consumption of chemical agents and lead to severe complications such as esophageal stricture, acute perforation, and even death. Esophageal squamous cell carcinoma is a squamous epithelium tumor that lines the normal esophagus. Additionally, adenocarcinomas are tumors located at the interface between the distal esophagus and the proximal gastric and divided into esophageal adenocarcinoma and gastric-cardia adenocarcinoma. Various conditions, such as chemical burns, are considered risk factors in the disease's pathogenesis. In the in-silico study, the authors aim to present the relationship between chemical burns and esophageal cancer by analyzing bioinformatics genetic data. Methods: The proper gene set was extracted using the 'GEO' database. The string web tool was utilized to form the gene-interaction network. Gephi and Cytoscape software were applied to achieve network analysis. Results: According to in-silico data, 26 genes, including NCAPH, DLGAP5, CCNB1, KIF11, KIAA0101, CDCA5, BIRC5, NUF2, BUB1B, RRM2, TTK, CDC20, NUSAP1, CCNB2, CCNA2, MELK, TPX2, PRC1, KIF4A, CENPF, TOP2A, CDK1, ASPM, CEP55, BUB1, KIF20A were extracted that can be regarded as the most critical shared genes between chemical burns and esophageal cancer. Conclusion: In sum, esophageal chemical burns can be related to the occurrence of esophageal cancer. Moreover, esophageal chemical burn is an external factor that upregulates present genes and can be regarded as a worsening prognosis or risk factor for esophageal cancer.

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Introduction: Burn injuries lead to dysregulation of immune molecules, impacting cellular and humoral immune pathways. This study aims to determine the prediction of immune molecule activity during burn wound healing among elderly patients. Methods: The current study utilized the Gene Expression Omnibus (GEO) database to extract the proper gene set. Also, the literature review was conducted in the present study to find immune signatures. The study used the "enrich r" website to identify the biological functions of extracted genes. The critical gene modules related to mortality were identified using the weighted gene co-expression network analysis (WGCNA) R package. Results: The appreciated GSE was extracted. According to the data, the most upregulated signatures were related to natural killer (NK) cells, and the most downregulated signatures were associated with M1 macrophages. Also, the results of WGCNA have shown that the most related gene modules (P<107 and score 0.17) to mortality were investigated, and the modules 100 first genes were extracted. Additionally, the enrich r analysis has demonstrated related pathways, including the immune process, including regulation of histamine secreted from mast cell (P<0.05), T helper 17 cell differentiation (P<0.05), and autophagy (P<0.05) were obtained. Finally, by network analysis, the critical gene "B3GNT5" were obtained (degree>ten and "betweenness and centrality">30 were considered). Conclusion: The study identified significant changes in macrophage and NK cell expression patterns post-burn injury, linking them to potential improvements in clinical outcomes and wound healing. The gene B3GNT5, associated with mortality, was highlighted as a key marker for prognostic evaluation.

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The present systematic review and meta-analysis aimed to determine the prevalence of surgical site infection (SSI) and risk factors in patients after knee surgery. A comprehensive and systematic search was carried out across various international electronic databases, including Scopus, PubMed and Web of Science, as well as Persian electronic databases like Iranmedex and the Scientific Information Database (SID). This search involved the utilization of keywords derived from Medical Subject Headings, such as 'Prevalence', 'Surgical wound infection', 'Surgical site infection' and 'Orthopaedics', spanning from the earliest records up to 1 October 2023. To assess the quality of the included studies, the Appraisal tool for Cross-Sectional Studies (AXIS tool) was utilized. The study encompassed a combined participant pool of 11 028 individuals who underwent knee surgery across seven selected studies. The collective prevalence of SSI in patients who underwent knee surgery, as reported in the seven included studies, was determined to be 3.0% (95% CI: 1.2% to 7.5%; I2 = 96.612%; p < 0.001). The combined prevalence of SSI in patients with DM, as reported in six studies, was 5.1% (95% CI: 1.7% to 14.5%; I2 = 79.054%; p < 0.001). Similarly, the pooled prevalence of SSI in patients with HTN, drawn from four studies, was 1.8% (95% CI: 0.7% to 4.5%; I2 = 63.996%; p = 0.040). Additionally, the collective prevalence of SSI in patients with a history of tobacco use, based on findings from six studies, was 4.8% (95% CI: 1.4% to 15.2%; I2 = 93.358%; p < 0.001). Subgroup analysis was conducted within six studies, categorizing them by two countries, namely China and the USA. These analyses revealed that the prevalence of SSI following knee surgery was 3.0% in China and 2.0% in the USA. It is noteworthy that variations in SSI prevalence across different studies may be attributed to a multitude of factors, particularly varying risk factors among patient populations. To address this issue and mitigate the impact of SSI on knee surgery patients, it is advisable to develop tailored interventions.

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The primary objective of this systematic review and meta-analysis was to ascertain the prevalence of anxiety and identify associated risk factors among individuals who have suffered burn injuries. We conducted a thorough and systematic search across various international electronic databases, including Scopus, PubMed and Web of Science, as well as Persian electronic databases like Iranmedex and the scientific information database (SID). Our search encompassed the period from the earliest available records up to 8 August 2023. We employed keywords derived from Medical Subject Headings (MeSH) such as "Prevalence", "Anxiety" and "Burns". In total, 2586 burn patients participated in 13 cross-sectional studies. The mean age of the participants was 32.88 (SD = 2.51). In a compilation of 13 studies, the documented overall occurrence rate of anxiety among burn patients stood at 16.1% (95% CI: 10.0% to 24.7%; I2 = 93.138%; p < 0.001). The outcomes of a meta-regression analysis, which examined the association between anxiety in burn patients and the year of publication, did not uncover any significant correlation (p = 0.442). Furthermore, there was a notable association between anxiety in burn patients and factors such as gender, TBSA affected, educational level and the types of burn injuries. Therefore, healthcare providers need to recognize the substantial prevalence of anxiety in burn patients as a fundamental consideration. This recognition should prompt a proactive approach toward early detection and timely intervention. Developing personalized intervention strategies tailored to each patient's unique risk factors and needs is paramount. These strategies may encompass a range of therapeutic options such as counselling, psychotherapy or consultations with mental health specialists.

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Surgical wounds may arise due to harm inflicted upon soft tissue during surgical intervention, and many complications and injuries may accompany them. These complications can lead to prolonged hospitalization and poorer clinical outcomes. Also, Machine learning (ML) is a Section of artificial intelligence (AI) that has emerged in medical care and is increasingly used for diagnosis, complications, prognosis and recurrence prediction. This study aims to investigate surgical wound risk predictions and management using a ML algorithm by R programming language analysis. The systematic review, following PRISMA guidelines, spanned electronic databases using search terms like 'machine learning', 'surgical' and 'wound'. Inclusion criteria covered experimental studies from 1990 to the present on ML's application in surgical wound evaluation. Exclusion criteria included studies lacking full text, focusing on ML in all surgeries, neglecting wound assessment and duplications. Two authors rigorously assessed titles, abstracts and full texts, excluding reviews and guidelines. Ultimately, relevant articles were then analysed. The present study identified nine articles employing ML for surgical wound management. The analysis encompassed various surgical procedures, including Cardiothoracic, Caesarean total abdominal colectomy, Burn plastic surgery, facial plastic surgery, laparotomy, minimal invasive surgery, hernia repair and unspecified surgeries. ML was skillful in evaluating surgical site infections (SSI) in seven studies, while two extended its use to burn-grade diagnosis and wound classification. Support Vector Machine (SVM) and Convolutional Neural Network (CNN) were the most utilized algorithms. ANN achieved a 96% accuracy in facial plastic surgery wound management. CNN demonstrated commendable accuracies in various surgeries, and SVM exhibited high accuracy in multiple surgeries and burn plastic surgery. In sum, these findings underscore ML's potential for significant improvements in postoperative management and the development of enhanced care techniques, particularly in surgical wound management.

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Introduction: Considering the importance of delirium disorder in burn patients and its complications, the present systematic review and meta-analysis aimed to determine the prevalence of delirium and its related factors in burn patients. Methods: A comprehensive, systematic search was performed in different international electronic databases, such as Scopus, PubMed, and Web of Science, as well as Persian electronic databases such as Iranmedex, and Scientific Information Database (SID) using keywords extracted from Medical Subject Headings such as "Prevalence", "Delirium", and "Burns" from the earliest to the 17th of July, 2023. Results: In total, 2,710 burn patients participated in ten original studies. Among the participants, 64.6% were male. In the ten studies, the reported pooled prevalence of delirium among burn patients was 20.5% (95% CI: 10.9% to 35.0%; I2=96.889%; P<0.001). Also, factors such as total body surface area, duration of hospitalization, mortality, days on ventilator, alcoholism, benzodiazepine dose, methadone dose, age, male gender, ICU days, operation days, wound care under anesthesia, and opioid dose had a significant correlation with the prevalence of delirium in burn patients. Conclusion: Health managers and policymakers can reduce the prevalence of delirium in burn patients by eliminating or reducing factors associated with it.

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This systematic review and meta-analysis aimed to evaluate the relationship between body mass index (BMI) and mortality of burn patients. A comprehensive, systematic search was conducted in different international electronic databases, such as Scopus, PubMed, Web of Science and Persian electronic databases such as Iranmedex, and Scientific Information Database (SID) using keywords extracted from Medical Subject Headings such as "Body mass index", "Burns" and "Mortality" from the earliest to the April 1, 2023. The quality of the studies included in this systematic review was evaluated using the appraisal tool for cross-sectional studies (AXIS tool). Finally, six articles were included in this systematic review and meta-analysis. A total of 16 154 burn patients participated in six studies. Their mean age was 46.32 (SD = 1.99). Of the participants, 71.7% were males. The mean length of hospitalization was 18.80 (SD = 8.08) days, and the average TBSA in burn patients was 38.32 (SD = 2.79) %. Also, the average BMI in burn patients was 27.10 (SD = 1.75). Results found mortality in patients with abnormal BMI (overweight to morbidity BMI) was 0.19 more than normal BMI (ES: 1.19, 95%CI: 0.76-1.87, Z = 0.75, I2 : 71.8%, p = 0.45). Results of linear dose-response showed each 5 kg/m2 increase in BMI was associated with a 5% increase in mortality that was marginally significant (ES: 1.05, 95%CI: 1.00-1.11, Z = 1.99, I2 : 22.2%, p = 0.047). There was a non-linear relationship between levels of BMI and mortality (Prob > χ2 = 0.02). There was an increase in mortality from percentile 10 to 50, although it was not significant (Correlational coefficient: 0.01, p = 0.85). Also, there was an increase in mortality rate from percentile 50 to 90 that was statistically significant (correlational coefficient: 0.06, p = 0.047). Finally, the results of the study indicated BMI can increase the chance of mortality by 0.19, although it was not significant. As a result, more studies are needed to better judge the relationship between BMI and mortality in burn victims.

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The present systematic review and meta-analysis aimed to determine the prevalence of surgical site infection (SSI) and related factors in patients after foot and ankle surgery. A comprehensive, systematic search was conducted in different international electronic databases, such as Scopus, PubMed, Web of Science and Persian electronic databases such as Iranmedex and Scientific Information Database (SID) using keywords extracted from Medical Subject Headings such as 'Prevalence', 'Surgical wound infection', 'Surgical site infection' and 'Orthopaedics' from the earliest to 1 June 2023. The appraisal tool for cross-sectional studies (AXIS tool) evaluates the quality of the included studies. A total of 10 447 patients undergoing foot and ankle surgery participated in nine studies. The pooled prevalence of SSI in patients who underwent foot and ankle surgery was reported in nine studies was 4.2% (95% CI: 2.4%-7.2%; I2 = 96.793%; p < 0.001). The odds ratio of SSI prevalence in men was higher than that of women and was significant (OR: 1.335; 95% CI: 1.106-1.612; Z = 3.009; p = 0.003). The pooled prevalence of SSI in patients with hindfoot fracture sites reported in five studies was 4.9% (95% CI: 2.6%-8.9%; I2 = 90.768%; p < 0.001). The pooled prevalence of SSI in patients with diabetes mellitus (DM) reported in six studies was 9.1% (95% CI: 5.6%-14.6%; I2 = 73.957%; p = 0.002). The pooled prevalence of SSI in patients with hypertension (HTN) reported in five studies was 5.5% (95% CI: 2.5%-11.6%; I2 = 91.346%; p < 0.001). The pooled prevalence of SSI in patients with tobacco use reported in eight studies was 6.6% (95% CI: 4.1%-10.4%; I2 = 85.379%; p < 0.001). In general, the existing differences in the prevalence of SSI after foot and ankle surgery in different studies can be based on different risk factors such as comorbidities and gender. Therefore, it is suggested to design appropriate interventions to reduce SSI in these patients.

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The emerging evidence has indicated the role of microRNAs (miRNA) in various physiological or pathological processes. Also, documents have suggested that exercise, by affecting miRNA regulation, may enhance burn wound healing. The current study aims to systematically review the role of exercise in regulating miRNAs related to burn wound healing to provide potential therapeutic targets. A comprehensive, systematic search was performed in different international electronic databases, such as Embase, PubMed and Google Scholar search engine, Science Direct, ProQuest and Ovid using keywords extracted from Medical Subject Headings from 2010 to September 2023. The keywords, including 'exercise' AND 'burn wound' AND 'microRNA' and finally, six cases were achieved. Evidence has indicated that exercise may promote the healing of burn wounds by regulating certain miRNAs. Studies have found that exercise regulates the expression of miRNAs such as mir-155, miR-21, let-7a, miR-146a, miR-122 and mir-210 in burn wound tissue, which regulate inflammation and angiogenesis. These findings suggest that miRNAs may play a role in the positive effect of exercise on burn wound healing. However, further research is needed to understand the mechanisms involved fully.

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The goal of this systematic review and meta-analysis is to provide an overview of the prevalence of surgical wound infection and related factors in patients after long bone surgery. A comprehensive, systematic search was conducted in different international electronic databases, such as Scopus, PubMed, Web of Science and Persian electronic databases such as Iranmedex and Scientific Information Database using keywords extracted from Medical Subject Headings such as "Prevalence", "Surgical wound infection", "Surgical site infection" and "Orthopedics" from the earliest to the May 1, 2023. The appraisal tool for cross-sectional studies (AXIS tool) evaluates the quality of the included studies. A total of 71 854 patients undergoing long bone surgery participated in 12 studies. The pooled prevalence of surgical wound infection in patients who underwent long bone surgery reported in the 12 studies was 3.3% (95% CI: 1.5%-7.2%; I2 = 99.39%; p < 0.001). The pooled prevalence of surgical wound infection in male and female patients who underwent long bone surgery was 4.6% (95% CI: 1.7%-11.7%; p < 0.001; I2 = 99.34%) and 2.6% (95% CI: 1.0%-6.3%; I2 = 98.84%; p < 0.001), respectively. The pooled prevalence of surgical wound infection in patients with femur surgery sites reported in nine studies was 3.7% (95% CI: 2.1-6.4%; I2 = 93.43%; p < 0.001). The pooled prevalence of surgical wound infection in open and close fractures was 16.4% (95% CI: 8.2%-30.2%; I2 = 95.83%; p < 0.001) and 2.9% (95% CI: 1.5%-5.5%; I2 = 96.40%; p < 0.001), respectively. The pooled prevalence of surgical wound infection in patients with diabetes mellitus (DM), hypertension (HTN) and cardiovascular disease (CVD) was 4.6% (95% CI: 2.3%-8.9%; I2 = 81.50%; p < 0.001), 2.7% (95% CI: 1.2%-6.0%; I2 = 83.82%; p < 0.001) and 3.0% (95% CI: 1.4%-6.4%; I2 = 69.12%; p = 0.006), respectively. In general, the different prevalence of surgical wound infection in patients undergoing surgical treatment after long bone fracture may be caused by underlying factors (gender and co-morbidity) and fracture-related factors (surgery site and type of fracture).

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Pressure injury (PI), or local damage to soft tissues and skin caused by prolonged pressure, remains controversial in the medical world. Patients in intensive care units (ICUs) were frequently reported to suffer PIs, with a heavy burden on their life and expenditures. Machine learning (ML) is a Section of artificial intelligence (AI) that has emerged in nursing practice and is increasingly used for diagnosis, complications, prognosis, and recurrence prediction. This study aims to investigate hospital-acquired PI (HAPI) risk predictions in ICU based on a ML algorithm by R programming language analysis. The former evidence was gathered through PRISMA guidelines. The logical analysis was applied via an R programming language. ML algorithms based on usage rate included logistic regression (LR), Random Forest (RF), Distributed tree (DT), Artificial neural networks (ANN), SVM (Support Vector Machine), Batch normalisation (BN), GB (Gradient Boosting), expectation-maximisation (EM), Adaptive Boosting (AdaBoost), and Extreme Gradient Boosting (XGBoost). Six cases were related to risk predictions of HAPI in the ICU based on an ML algorithm from seven obtained studies, and one study was associated with the Detection of PI risk. Also, the most estimated risksSerum Albumin, Lack of Activity, mechanical ventilation (MV), partial pressure of oxygen (PaO2), Surgery, Cardiovascular adequacy, ICU stay, Vasopressor, Consciousness, Skin integrity, Recovery Unit, insulin and oral antidiabetic (INS&OAD), Complete blood count (CBC), acute physiology and chronic health evaluation (APACHE) II score, Spontaneous bacterial peritonitis (SBP), Steroid, Demineralized Bone Matrix (DBM), Braden score, Faecal incontinence, Serum Creatinine (SCr) and age. In sum, HAPI prediction and PI risk detection are two significant areas for using ML in PI analysis. Also, the current data showed that the ML algorithm, including LR and RF, could be regarded as the practical platform for developing AI tools for diagnosing, prognosis, and treating PI in hospital units, especially ICU.

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