Conectar
by Haihao Yan, Chenghua Zhu, Xiao Jin, Ganzhu Feng
BackgroundPrevious studies have found that the persistence of herpesvirus significantly increases the risk of idiopathic pulmonary fibrosis (IPF), but it is unclear whether this effect is causal. We conducted a two-sample Mendelian randomization (MR) study to evaluate the causal relationship between three herpesvirus infections and IPF.
MethodsWe used genome-wide association studies (GWAS) data from three independent datasets, including FinnGen cohort, Milieu Intérieur cohort, and 23andMe cohort, to screen for instrumental variables (IVs) of herpesvirus infection or herpesvirus-related immunoglobulin G (IgG) levels. Outcome dataset came from the largest meta-analysis of IPF susceptibility currently available.
ResultsIn the FinnGen cohort, genetically predicted Epstein-Barr virus (EBV) (OR = 1.105, 95%CI: 0.897–1.149, p = 0.815), cytomegalovirus (CMV) (OR = 1.073, 95%CI: 0.926–1.244, p = 0.302) and herpes simplex (HSV) infection (OR = 0.906, 95%CI: 0.753–1.097, p = 0.298) were not associated with the risk of IPF. In the Milieu Intérieur cohort, we found no correlations between herpesvirus-related IgG EBV nuclear antigen-1 (EBNA1) (OR = 0.968, 95%CI: 0.782–1.198, p = 0.764), EBV viral capsid antigen (VCA) (OR = 1.061, 95CI%: 0.811–1.387, p = 0.665), CMV (OR = 1.108, 95CI%: 0.944–1.314, p = 0.240), HSV-1 (OR = 1.154, 95%CI: 0.684–1.945, p = 0.592) and HSV-2 (OR = 0.915, 95%CI: 0.793–1.056, p = 0.225) and IPF risk. Moreover, in the 23andMe cohort, no evidence of associations between mononucleosis (OR = 1.042, 95%CI: 0.709–1.532, p = 0.832) and cold scores (OR = 0.906, 95%CI: 0.603–1.362, p = 0.635) and IPF were found. Sensitivity analysis confirmed the robustness of our results.
ConclusionsThis study provides preliminary evidence that EBV, CMV, and HSV herpesviruses, and herpesviruses-related IgG levels, are not causally linked to IPF. Further MR analysis will be necessary when stronger instrument variables and GWAS with larger sample sizes become available.
by Su-Yeon Yu, Miyoung Choi, Seungeun Ryoo, Chelim Cheong, Kyungmin Huh, Young Kyung Yoon, Su Jin Jeong
Inhaled corticosteroids are known to be relatively safe for long-term use in inflammatory respiratory diseases and it has been repurposed as one of the potential therapies for outpatients with coronavirus disease 2019 (COVID-19). However, inhaled corticosteroids have not been accepted for COVID-19 as a standard therapy because of its lack of proven benefits. Therefore, this study aimed to evaluate the effectiveness of inhaled corticosteroids in patients with COVID-19. Randomized controlled trials comparing the efficacy of inhaled corticosteroid treatment in patients with COVID-19 were identified through literature electronic database searches up to March 10, 2023. Meta-analyses were conducted for predefined outcomes, and the certainty of evidence was graded using the grading of recommendations, assessment, development, and evaluation approach. Overall, seven trials (eight articles) were included in this systematic review. Compared with usual care, inhaled corticosteroids was associated with significantly improved clinical recovery at 7 and 14 days in patients with COVID-19. In subgroup analysis, only budesonide showed significant efficacy in clinical recovery, whereas no significant benefit was observed for ciclesonide. Moreover, inhaled corticosteroids use was not significantly associated with all-cause hospitalization, all-cause mortality, admission to intensive care unit, or the use of mechanical ventilation. Our systematic review used evidence with very low to moderate certainty. Although based on limited evidence, our results suggest that inhaled corticosteroids treatment, especially budesonide, improves the clinical recovery of patients with COVID-19. More trials and meta-analyses are needed to assess the efficacy of inhaled corticosteroids for COVID-19 treatment.by Yufeng Zhang, Keith D. Aaronson, Jonathan Gryak, Emily Wittrup, Cristian Minoccheri, Jessica R. Golbus, Kayvan Najarian
BackgroundTimely referral for advanced therapies (i.e., heart transplantation, left ventricular assist device) is critical for ensuring optimal outcomes for heart failure patients. Using electronic health records, our goal was to use data from a single hospitalization to develop an interpretable clinical decision-making system for predicting the need for advanced therapies at the subsequent hospitalization.
MethodsMichigan Medicine heart failure patients from 2013–2021 with a left ventricular ejection fraction ≤ 35% and at least two heart failure hospitalizations within one year were used to train an interpretable machine learning model constructed using fuzzy logic and tropical geometry. Clinical knowledge was used to initialize the model. The performance and robustness of the model were evaluated with the mean and standard deviation of the area under the receiver operating curve (AUC), the area under the precision-recall curve (AUPRC), and the F1 score of the ensemble. We inferred membership functions from the model for continuous clinical variables, extracted decision rules, and then evaluated their relative importance.
ResultsThe model was trained and validated using data from 557 heart failure hospitalizations from 300 patients, of whom 193 received advanced therapies. The mean (standard deviation) of AUC, AUPRC, and F1 scores of the proposed model initialized with clinical knowledge was 0.747 (0.080), 0.642 (0.080), and 0.569 (0.067), respectively, showing superior predictive performance or increased interpretability over other machine learning methods. The model learned critical risk factors predicting the need for advanced therapies in the subsequent hospitalization. Furthermore, our model displayed transparent rule sets composed of these critical concepts to justify the prediction.
ConclusionThese results demonstrate the ability to successfully predict the need for advanced heart failure therapies by generating transparent and accessible clinical rules although further research is needed to prospectively validate the risk factors identified by the model.
by Alexis Thrower, Bethany Barone Gibbs, Abdullah Alansare, Sally Sherman, Kelliann Davis
Vinyasa yoga is moderate-intensity physical activity, yet physiological responses are poorly characterized. The purpose of this study was to examine the effect of a vinyasa yoga session on autonomic/cardiovascular functioning in healthy adults. A randomized crossover design took place at the Physical Activity and Weight Management laboratory (Pittsburgh, PA; n = 18), and included two experimental conditions: 60 minutes of vinyasa yoga or a seated control, and measurements were taken at baseline, 5-minutes, and 65-minute post-conditions. The primary cardiovascular-related outcomes of this study included blood pressure (BP), heart rate (HR), and HR variability (HRV) measures [natural log transformed (ln) standard deviation of normal-to-normal R-R intervals (SDNN), root mean square of successive differences (RMSSD), high frequency (HF), and low frequency to high frequency ratio (LF/HF ratio)]. Linear mixed effects models were used for data analyses. Systolic BP was 8.14 mmHg lower at 5 minutes post yoga (pby Siti Nurokhmah, Lucinda Middleton, Judhiastuty Februhartanty, Aryono Hendarto
BackgroundEarly initiation of breastfeeding (EIBF) is key to reducing neonatal morbidity and mortality, however, little is known about the determinants of the trends of EIBF prevalence in Indonesia. This study aims to assess the contributing factors to the changes in the prevalence of EIBF between 2007 and 2017.
MethodsWe analysed data from the 2007, 2012, and 2017 Indonesia Demographic and Health Surveys to estimate the trends in EIBF. A multivariate logistic decomposition model was fitted to examine variables associated with changes in the percentage of EIBF from 2007 to 2017. The contributing factors to changes in EIBF prevalence were categorized into either compositional or behavioural changes, with each of them divided into portions or percentages of contribution (pct) of the independent variables. The former refers to the changes in the distribution of samples, while the latter refers to the changes in the behavioural responses toward EIBF in both surveys. All analyses accounted for the complex study design and potential confounding factors.
ResultsAn increase in the prevalence of EIBF from 49.9% to 56.5% was recorded between 2012 and 2017, with an overall increase of 16.9 percentage points from 2007 to 2017. At the aggregate level, the compositional differences did not significantly contribute to the changes in the percentage of EIBF, while 98.3pct (p Conclusions
Almost half of the newborns experienced delayed breastfeeding initiation despite the improvement in the prevalence of EIBF. Therefore, further research and interventions on behaviour change in mother’s attitudes towards EIBF, especially among those undergoing caesarean delivery, living in Kalimantan or Sulawesi, and from wealthier households, are recommended to close this gap.
by Noriko Takeuchi, Nanami Sawada, Daisuke Ekuni, Manabu Morita
Positive psychological well-being has a favorable impact on survival rates in both healthy and unhealthy populations. Oral health is also associated with psychological well-being, is multidimensional in nature, and includes physical, psychological, emotional, and social domains that are integral to overall health and well-being. This study aimed to identify the associations between individual and environmental characteristics, oral condition and nutritional status in relation to subjective well-being among older adults using the Wilson and Cleary conceptual model. The participants were older adults (age ≥ 60 years) attending a university hospital. Subjective well-being was assessed using the World Health Organization-5 Well-Being Index, oral condition was assessed based on the number of bacteria in the tongue coating, oral wettability, tongue pressure, occlusal force, oral diadochokinesis, and masticatory ability, and subjective swallowing function was assessed using the Eating Assessment Tool, number of remaining teeth, and number of functional teeth. In addition, factors related to well-being, including social networks, life–space mobility, nutritional status, smoking history, drinking history, and medical history were assessed. In the analysis, structural equation modeling was used to investigate the association between oral condition and subjective well-being. Confirmatory factor analysis revealed oral condition as a latent variable, including tongue pressure, oral diadochokinesis /pa/, /ta/, /ka/, occlusal force, masticatory ability, subjective swallowing function, and number of functional teeth. Structural Equation Modeling revealed that oral condition was positively correlated with nutritional status, and nutritional status was positively correlated with the World Health Organization-5 Well-Being Index. These findings suggest that oral condition may influence subjective well-being via nutritional status or social environmental factors.by Andrea D. Tyler, Jane McAllister, Helen Stapleton, Penny Gauci, Kym Antonation, David Thirkettle-Watts, Cindi R. Corbett
From pathogen detection to genome or plasmid closure, the utility of the Oxford Nanopore Technologies (ONT) MinION for microbiological analysis has been well documented. The MinION’s small footprint, portability, and real-time analytic capability situates it well to address challenges in the field of unbiased pathogen detection, as a component of a security investigation. To this end, a multicenter evaluation of the effect of alternative analytical approaches on the outcome of MinION-based sequencing, using a set of well-characterized samples, was explored in a field-based scenario. Three expert scientific response groups evaluated known bacterial DNA extracts as part of an international first responder (Chemical, Biological, Radiological) training exercise. Samples were prepared independently for analysis using the Rapid and/or Rapid PCR sequencing kits as per the best practices of each of the participating groups. Analyses of sequence data were in turn conducted using varied approaches including ONTs What’s in my pot (WIMP) architecture and in-house computational pipelines. Microbial community composition and the ability of each approach to detect pathogens was compared. Each group demonstrated the ability to detect all species present in samples, although several organisms were detected at levels much lower than expected with some organisms even falling below 1% abundance. Several ‘contaminant’ near neighbor species were also detected, at low abundance. Regardless of the sequencing approach chosen, the observed composition of the bacterial communities diverged from the input composition in each of the analyses, although sequencing conducted using the rapid kit produced the least distortion when compared to PCR-based library preparation methods. One of the participating groups generated drastically lower sequencing output than the other groups, likely attributed to the limited computer hard drive capacity, and occasional disruption of the internet connection. These results provide further consideration for conducting unbiased pathogen identification within a field setting using MinION sequencing. However, the benefits of this approach in providing rapid results and unbiased detection must be considered along with the complexity of sample preparation and data analytics, when compared to more traditional methods. When utilized by trained scientific experts, with appropriate computational resources, the MinION sequencing device is a useful tool for field-based pathogen detection in mixed samples.by Junghyun Kim, Jenny Jiang, Sophie Shen, Soko Setoguchi
ObjectivesTo describe inpatient and outpatient cardiac rehabilitation (CR) utilization patterns over time and by subgroups among patients admitted for acute heart failure (AHF) in Japan.
BackgroundCardiac rehabilitation (CR) is a crucial secondary prevention strategy for patients with heart failure. While the number of older patients with AHF continues to rise, trends in inpatient and outpatient CR participation following AHF in Japan have not been described to date.
MethodsWe conducted a retrospective cohort study of adult patients hospitalized for AHF in Japan between April 2008 and December 2020. Using data from the Medical Data Vision database, we measured trends in inpatient and outpatient CR participation following AHF. Descriptive analyses and summary statistics for AHF patients by CR participation status were reported.
ResultsThe analytic cohort included 88,052 patients. Among these patients, 37,810 (42.9%) participated in inpatient and/or outpatient CR. Of those, 36,431 (96.4%) participated in inpatient CR only and 1,277 (3.4%) participated in both inpatient and outpatient CR. Rates of inpatient CR rose more than 6-fold over the study period, from 9% in 2009 to 55% in 2020, whereas rates of outpatient CR were consistently low.
ConclusionsThe rate of inpatient CR participation among AHF patients in Japan rose dramatically over a 12-year period, whereas outpatient CR following AHF was vastly underutilized. Further study is needed to assess the clinical effectiveness of inpatient CR and to create infrastructure and incentives to support and encourage outpatient CR.
by Matthias Bosman, Dustin N. Krüger, Kasper Favere, Guido R. Y. De Meyer, Constantijn Franssen, Emeline M. Van Craenenbroeck, Pieter-Jan Guns
Apart from cardiotoxicity, the chemotherapeutic agent doxorubicin (DOX) provokes acute and long-term vascular toxicity. Dexrazoxane (DEXRA) is an effective drug for treatment of DOX-induced cardiotoxicity, yet it remains currently unknown whether DEXRA prevents vascular toxicity associated with DOX. Accordingly, the present study aimed to evaluate the protective potential of DEXRA against DOX-related vascular toxicity in a previously-established in vivo and ex vivo model of vascular dysfunction induced by 16 hour (h) DOX exposure. Vascular function was evaluated in the thoracic aorta in organ baths, 16h after administration of DOX (4 mg/kg) or DOX with DEXRA (40 mg/kg) to male C57BL6/J mice. In parallel, vascular reactivity was evaluated after ex vivo incubation (16h) of murine aortic segments with DOX (1 μM) or DOX with DEXRA (10 μM). In both in vivo and ex vivo experiments, DOX impaired acetylcholine-stimulated endothelium-dependent vasodilation. In the ex vivo setting, DOX additionally attenuated phenylephrine-elicited vascular smooth muscle cell (VSMC) contraction. Importantly, DEXRA failed to prevent DOX-induced endothelial dysfunction and hypocontraction. Furthermore, RT-qPCR and Western blotting showed that DOX decreased the protein levels of topoisomerase-IIβ (TOP-IIβ), a key target of DEXRA, in the heart, but not in the aorta. Additionally, the effect of N-acetylcysteine (NAC, 10 μM), a reactive oxygen species (ROS) scavenger, was evaluated ex vivo. NAC did not prevent DOX-induced impairment of acetylcholine-stimulated vasodilation. In conclusion, our results show that DEXRA fails to prevent vascular toxicity resulting from 16h DOX treatment. This may relate to DOX provoking vascular toxicity in a ROS- and TOP-IIβ-independent way, at least in the evaluated acute setting. However, it is important to mention that these findings only apply to the acute (16h) treatment period, and further research is warranted to delineate the therapeutic potential of DEXRA against vascular toxicity associated with longer-term repetitive DOX dosing.by Jenson Jacob, Selim Bozkurt
Sagittal synostosis is a condition caused by the fused sagittal suture and results in a narrowed skull in infants. Spring-assisted cranioplasty is a correction technique used to expand skulls with sagittal craniosynostosis by placing compressed springs on the skull before six months of age. Proposed methods for surgical planning in spring-assisted sagittal craniosynostosis correction provide information only about the skull anatomy or require iterative finite element simulations. Therefore, the selection of surgical parameters such as spring dimensions and osteotomy sizes may remain unclear and spring-assisted cranioplasty may yield sub-optimal surgical results. The aim of this study is to develop the architectural structure of an automated tool to predict post-operative surgical outcomes in sagittal craniosynostosis correction with spring-assisted cranioplasty using machine learning and finite element analyses. Six different machine learning algorithms were tested using a finite element model which simulated a combination of various mechanical and geometric properties of the calvarium, osteotomy sizes, spring characteristics, and spring implantation positions. Also, a statistical shape model representing an average sagittal craniosynostosis calvarium in 5-month-old patients was used to assess the machine learning algorithms. XGBoost algorithm predicted post-operative cephalic index in spring-assisted sagittal craniosynostosis correction with high accuracy. Finite element simulations confirmed the prediction of the XGBoost algorithm. The presented architectural structure can be used to develop a tool to predict the post-operative cephalic index in spring-assisted cranioplasty in patients with sagittal craniosynostosis can be used to automate surgical planning and improve post-operative surgical outcomes in spring-assisted cranioplasty.Surgical site infections (SSIs) post-thoracoscopic radical resection in lung cancer patients pose significant clinical challenges. This study aims to comprehensively identify the independent risk factors that influence the occurrence of SSIs following thoracoscopic radical resection for lung cancer. The study employed a retrospective analysis of 130 patients who underwent thoracoscopic radical resection for lung cancer. Inclusion and exclusion criteria were clearly defined, and ethical approvals were obtained. Patients were monitored for SSIs via clinical and biochemical markers, with data comprehensively gathered from electronic health records. Statistical analysis was rigorously conducted using SPSS v27.0, with methodologies including t-tests, Chi-square tests and logistic regression. The study aimed to identify independent risk factors for SSIs and incorporated a multidimensional assessment approach to provide robust, clinically relevant findings. Univariate analysis revealed surgical duration ≥3 h, non-usage of antibiotics, presence of diabetes and elevated levels of C-reactive protein (CRP) and procalcitonin (PCT) as significant correlates for SSIs. Multivariate analysis substantiated these factors as independent risk variables: surgery duration (odds ratio [OR] = 9.698, p < 0.05), presence of diabetes (OR = 6.89, p < 0.05), elevated CRP (OR = 7.306, p < 0.05) and elevated PCT (OR = 6.838, p < 0.05). Conversely, antibiotic administration served as a protective factor (OR = 0.572, p < 0.05). Surgical duration of 3 h or more, diabetes and elevated levels of CRP and PCT significantly heighten the risk for SSIs after thoracoscopic radical resection in lung cancer patients. Perioperative antibiotic administration acts as a protective factor. Clinicians should implement tailored preventative strategies to mitigate these identified risks.
Psoriasis and chronic ulcers not only significantly impair quality of life but also pose a challenge in dermatological treatment. This study aimed to identify new therapeutic targets and biomarkers for psoriasis and chronic ulcers by comparing their gene expression profiles. The gene expression profiles of psoriatic, wound and chronic ulcer patients, as well as healthy controls, were determined via RNA extraction and next-generation sequencing of biopsies. In order to identify biomarkers, functional enrichment, differential expression analysis and machine learning algorithms were implemented. It is worth mentioning that the genes IL17A, TNF, KRT16, MMP9, and CD44 exhibited substantial correlations with the pathogenesis of the conditions being studied. As evidenced by their AUC-ROC values approaching 0.90, machine learning models accurately identified these biomarkers. The differential gene expression was consequently validated via qRT-PCR, which highlighted the increased expression of matrix remodelling enzymes and inflammatory cytokines. Additionally, genes essential for maintaining epidermis integrity and facilitating wound healing exhibited downregulation. These insights into the molecular mechanisms of psoriasis and chronic ulcers pave the way for the development of targeted therapies, offering hope for improved treatment strategies.
This meta-analysis evaluated the role of evidence-based nursing interventions in preventing pressure ulcers in patients with stroke. Computer systems were used to retrieve randomised controlled trials (RCTs) on evidence-based nursing interventions for patients with stroke and comorbid pressure ulcers from PubMed, EMBASE, Scopus, Cochrane Library, China National Knowledge Infrastructure, Chinese Biomedical Literature Database and Wanfang Data from database inception until April 2023. Two researchers independently screened the literature, extracted the data and evaluated the quality of the included studies according to the inclusion and exclusion criteria. RevMan 5.4 software was used for the meta-analysis. A total of 23 articles with results on 2035 patients were included, with 1015 patients in the evidence-based nursing group and 1020 patients in the routine nursing group. The meta-analysis results showed that evidence-based nursing interventions significantly reduced the incidence of pressure ulcers in patients with stroke (5.22% vs. 22.84%, odds ratio [OR]: 0.18, 95% confidence interval [CI]: 0.13–0.24, p < 0.001), delayed the onset of pressure ulcers (standardised mean difference [SMD]: 3.41, 95% CI: 1.40–5.42, p < 0.001) and improved patient quality of life (SMD: 2.95, 95% CI: 2.35–3.56, p < 0.001). Evidence-based nursing interventions are effective at preventing pressure ulcers in patients with stroke, delaying the onset of pressure ulcers and improving their quality of life. Evidence-based nursing should be promoted for patients with stroke. However, owing to differences in sample size between studies and the methodological inadequacies of some studies, these results should be verified by large, high-quality RCTs.
Diabetic foot ulcer often leads to amputation, and both nutritional status and immune function have been associated with this process. We aimed to investigate the risk factors of diabetic ulcer-related amputation including the Controlling Nutritional Status score and neutrophil-to-lymphocyte ratio biomarker. We evaluated data from hospital in patients with diabetic foot ulcer, performing univariate and multivariate analyses to screen for high-risk factors and Kaplan–Meier analysis to correlate high-risk factors with amputation-free survival. Overall, 389 patients underwent 247 amputations over the follow-up period. After correction to relevant variables, we identified five independent risk factors for diabetic ulcer-related amputation: ulcer severity, ulcer site, peripheral arterial disease, neutrophil-to-lymphocyte ratio and nutritional status. Amputation-free survival was lower for the moderate-to-severe versus mild cases, for the plantar forefoot versus hindfoot location, for the concomitant peripheral artery disease versus without and in the high versus low neutrophil-to-lymphocyte ratio (all p < 0.01). The results showed that ulcer severity (p < 0.01), ulcer site (p < 0.01), peripheral artery disease (p < 0.01), neutrophil-to-lymphocyte ratio (p < 0.01) and Controlling Nutritional Status score (p < 0.05) were independent risk factors for amputation in diabetic foot ulcer patients and have predictive values for diabetic foot ulcer progression to amputation.
Amputations related to diabetic foot ulcers (DFU) are associated with high morbidity and mortality rates. Glycaemic control and close follow-up protocols are essential to prevent such ulcers. Coronavirus disease (COVID) related restrictions and regulations might have a negative impact on patients who are with DFU or candidates for DFU. We retrospectively analysed 126 cases that had DFU underwent amputation surgery. Comparative analyses were done between cases that were admitted before COVID restrictions (Group A) and cases admitted after COVID restrictions (Group B). Two groups were homogenic demographically. There was no significant difference between groups in terms of mortality (p = 0.239) and amputation rates (p = 0.461). The number of emergent cases in the pandemic period doubled the number in pre-pandemic period even though this finding was not statistically significant (p = 0.112). Fastly adapted consulting practice and follow-up protocols to compensate for the problems created by COVID-related regulations seem to be effective in terms of mortality and amputation rates.
This meta-analysis aimed to evaluate the impact of autologous platelet concentrates (APCs) on wound area reduction based on randomized controlled trials (RCTs). A comprehensive search was conducted in PubMed, Embase, China National Knowledge Infrastructure (CNKI), Web of Science, and the Cochrane Library to identify relevant literature. The primary outcome measure was the percentage of wound area reduction. Secondary outcome measures included wound healing time and the incidence of infection. A total of 14 studies were included in the meta-analysis. The results showed that the percentage of wound area reduction was significantly greater in the APCs group compared to conventional treatments (standardized mean difference [SMD] 1.98, 95% confidence interval [CI]: 1.27–2.68, p < 0.001). Subgroup analysis revealed that the percentage of wound area reduction varied based on wound location, follow-up duration, and type of APCs used. The healing time and incidence of infection presented no significant difference between the two groups. The findings suggest that APCs can effectively reduce wound areas when compared to conventional treatments, without increasing the risk of infection. In addition, the effectiveness of APCs in wound area reduction may vary depending on factors such as wound location, type of APCs used, and follow-up duration.
Among the assortment of available dressings aimed at promoting wound healing, moist dressings have gained significant popularity because of their ability to create an optimal environment for wound recovery. This meta-analysis seeks to compare the effects of moist dressing versus gauze dressing on wound healing time. A comprehensive literature search was conducted, encompassing publications up until April 1, 2023, across multiple databases including PubMed, Web of Science, China National Knowledge Infrastructure (CNKI), and Cochrane Library. Stringent criteria were used to determine study inclusion and evaluate methodological quality. Statistical analyses were performed utilizing Stata 17.0. A total of 13 articles, encompassing 866 participants, were included in the analysis. The findings indicate that moist dressing surpasses gauze dressing in terms of wound healing time (standard mean difference [SMD] −2.50, 95% confidence interval [CI] −3.35 to −1.66, p < 0.01; I 2 = 97.24%), wound site infection rate (odds ratio [OR] 0.30, 95% CI 0.17 to 0.54, p < 0.01; I 2 = 39.91%), dressing change times (SMD −3.65, 95% CI −5.34 to −1.97, p < 0.01; I 2 = 96.48%), and cost (SMD −2.66, 95% CI −4.24 to −1.09, p < 0.01; I 2 = 94.90%). Subgroup analyses revealed possible variations in wound healing time based on wound types and regions. This study underscores the significant advantages associated with the use of moist dressings, including expedited wound healing, reduced infection rates, decreased frequency of dressing changes, and lower overall treatment costs.
FreshRSS 