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☐ ☆ ✇ Journal of Nursing Scholarship

Application of Artificial Intelligence Software to Identify Emotions of Lung Cancer Patients in Preoperative Health Education: A Cross‐Sectional Study

Por: Xiaoxue Chen · Ziya Xin · Dong Yang · Xinyuan Song · Jiudi Zhong · Jiahuan Weng · Yongxue Zhang · Dandan Liu · Wang Min · Kang Lu · Yuan Juan — Febrero 17th 2025 at 10:29

ABSTRACT

Aim(s)

To determine the correlation between preoperative health education and the emotions of lung cancer patients, artificial intelligence software was used.

Design

This was a cross-sectional study.

Methods

This study included 210 lung cancer patients from Sun Yat-sen University Cancer Center and examined the impact of health education on patient emotions using an AI-based emotion analysis tool.

Results

This study indicated a significant relationship between the tone and emotional content of health education materials and patient emotions. Specifically, educational materials with an explanatory tone and negative sentiment appeared to impact patients' emotional states.

Conclusion

Quality improvements in health education can potentially benefit lung cancer patients' emotional well-being by minimizing the use of both explanatory tone and negative sentiment in educational content.

Implications for the Profession and/or Patient Care

This research suggests that the careful crafting of health education materials, taking into consideration tone and emotional expressions, can have a tangible positive effect on the emotional state of lung cancer patients.

Reporting Method

The study was reported in accordance with the STROBE guidelines.

Patient or Public Contribution

No patients, service users, caregivers, or members of the public were involved in the design, conduct, collection, analysis, or interpretation of the data for this study, nor were they involved in writing the manuscript.

☐ ☆ ✇ Journal of Clinical Nursing

Development and validation of a nomogram for oral mucosal membrane pressure injuries in ICU patients: A prospective cohort study

Por: Lingli Jia · Yuchun Deng · Yu Xu · Xiaoli Wu · Dan Liu · Muying Li · Shijun Huang · Yaodan Zhang · Aiping Du · Huan Liu · Yongming Tian — Mayo 27th 2024 at 06:36

Abstract

Aims

Establishing a nomogram to estimate the probability of oral mucosal membrane pressure injury of endotracheal tube-intubated hospitalized patients in intensive care unit.

Design

Multicentre prospective cohort study.

Methods

Using Lasso regression and COX regression, variable selection was performed on demographic, clinical and laboratory data of 1037 ICU endotracheal tube-intubated hospitalized patients from West China Hospital, to construct a nomogram. External validation was conducted on 484 ICU endotracheal tube-intubated patients from People's Hospital of Zhongjiang County.

Results

Among 38 potential predictors, five variables emerged as independent predictors, integrated into the nomogram: administration of antibiotics, nutritional therapy duration, agitation, hypotension and albumin levels.

Conclusions

We established a nomogram based on the hospital characteristics of ICU endotracheal tube-intubated patients, aiding in the prediction of the occurrence of oral mucosal membrane pressure injury.

Reporting Method

The study followed TRIPOD guidelines.

Relevance to Clinical Practice

The nomogram we developed can assist clinical worker in better identifying at-risk patients and risk factors. It enables the implementation of evidence-based nursing interventions in care to prevent the development of oral mucosal membrane pressure injury.

Trial registration

The study has been registered with the Chinese Clinical Trial Registry (http://www.chictr.org.cn) under registration number ChiCTR2200056615.

☐ ☆ ✇ International Wound Journal

Influences of ultrasound osteotome on wound infection and wound complications following removal of mandibular wisdom teeth

Por: Qingzheng Li · Dandan Liu · Xiaoya Wei · Zhao Li · Mingzhu Wen · Zhenzhen Hou · Wenjing Zhang — Enero 16th 2024 at 00:09

Abstract

We conducted this study to assess the effect of ultrasound osteotome on surgical site wound infection and pain following removal of mandibular wisdom teeth. A computerised search of Embase, Cochrane Library, PubMed, Wanfang and China National Knowledge Infrastructure databases for publicly available randomised controlled trials (RCTs) on the clinical effects of applying ultrasound osteotome to extract mandibular wisdom teeth was conducted from the inception of the databases to September 2023. Two researchers independently screened the retrieved results for literature screening, quality assessment and data extraction. RevMan 5.4 software was applied for data analysis. A total of 17 RCTs were included in this study, including 848 cases in the ultrasound osteotome group and 842 cases in the control group. The analysis revealed, compared with the control group, the ultrasound osteotome group showed a significantly lower incidence of postoperative wound infection (1.42% vs. 5.46%, odds ratio [OR]: 0.30, 95% confidence intervals [CI]: 0.17–0.53, p < 0.0001), fewer postoperative complications (6.35% vs. 22.12%, OR: 0.23, 95% CI: 0.17–0.32, p < 0.00001), shorter operative time (standardised mean differences [SMD]: −1.30, 95% CI: −1.97 to −0.64, p = 0.0001) and lower wound pain scores (SMD: −2.26 95% CI −2.80 to −1.73, p < 0.00001). Strong evidence suggests that ultrasound osteotome applied to extract mandibular wisdom teeth is more advantageous in terms of lower postoperative wound infection, less wound pain, fewer postoperative complications and shorter operative time compared with conventional treatment methods, but large-scale, multicentre RCTs are still needed to obtain more accurate results.

☐ ☆ ✇ International Wound Journal

Evaluation of risk factors for surgical site infections in osteoarthritis patients undergoing total knee arthroplasty

Por: Haihong Li · Yina Li · Danhua Wang · Qiuli Huang · Dandan Liu — Noviembre 24th 2023 at 08:02

Abstract

This research sought to delineate risk factors associated with surgical site infections (SSIs) post-total knee arthroplasty (post-TKA) in elderly osteoarthritis patients, aiming to enhance post-surgical outcomes. A retrospective examination was conducted on a cohort of 650 elderly patients who underwent unilateral TKA between January 2018 and August 2022. Data procurement was from the hospital's Electronic Health Record, and a comprehensive statistical evaluation was performed using IBM SPSS Statistics version 24.0. Both univariate and multivariate techniques assessed a spectrum of risk determinants such as age, body mass index (BMI), coexisting medical conditions and surgical variables. The univariate examination spotlighted age, BMI, diabetes prevalence, chronic corticosteroid consumption and American Society of Anesthesiologists (ASA) physical status classification as notable predictors of SSIs. The multivariate logistic regression pinpointed age, BMI, history of smoking and diabetes diagnosis as salient risk attributors for post-TKA infections. Concurrently, parameters like ASA classification, surgical duration and intraoperative haemorrhage further enriched the risk landscape. Geriatric patients undergoing TKA for knee osteoarthritis manifest a tangible infection susceptibility post-surgery. Precision interventions concentrating on amendable risk components, including meticulous preoperative evaluations and strategic postoperative care, are imperative to attenuate SSI incidence, thereby amplifying surgical efficacy and optimizing patient recuperation trajectories.

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