Objective Patients with acute coronary syndrome(ACS)combined with chronic kidney disease(CKD)are at high risk of major adverse cardiovascular events(MACE),and early prediction is crucial for improving prognosis.Non-invasive detection methods,due to their simplicity and safety,have become important tools for assessing risks in such patients.This study aims to evaluate the application value of non-invasive detection indicators in predicting MACE in ACS patients with CKD.Methods The study included 216 ACS patients with CKD,divided into a Non-MACE group(n=149)and a MACE group(n=67).General patient data,non-invasive detection indicators,electrocardiogram(ECG),and cardiac function indicators were collected.Univariate and multivariate logistic regression analyses were performed to explore the relationship between these indicators and MACE.A nomo-gram prediction model was constructed,and its performance was evaluated using ROC curve analysis,calibration curve,and decision curve analysis.Results Univariate analysis showed that age,BMI,SVR,SVRI,HRV,QTd,SDNN,LVEF,LVEDd,SCOPA-AUT score,and GRACE score were significantly associated with MACE.Multivariate analysis identified SVRI,QTd,SDNN,LVEF,LVEDd,SCOPA-AUT score,and GRACE score as independent risk factors for MACE.ROC curve analysis revealed that the model had an AUC value of 0.979,sensi-tivity of 0.925,specificity of 0.966,and accuracy of 0.9537,indicating high diagnostic accuracy.Calibration curve and decision curve analyses further confirmed the model's reliability.Conclusion Non-invasive detection indicators,including SVRI,QTd,SDNN,LVEF,LVEDd,SCOPA-AUT score,and GRACE score,have significant value in predicting MACE in ACS patients with CKD.The constructed prediction model provides an effective tool for clinical risk assessment.

Objective:To explore the relationship between mindfulness, optimism, and subjective well-being in post-lung transplantation patients, so as to provide a basis for nursing staff to improve patients' subjective well-being.Methods:This study was a cross-sectional survey. Convenience sampling was used to select 205 post-lung transplantation patients admitted to the First Affiliated Hospital of Guangzhou Medical University from October 2022 to November 2023 for the study. General Information Questionnaire, World Health Organization-Five Well-Being Scale, Mindful Attention Awareness Scale (MAAS) and Life Orientation Test-R (LOT-R) were used to investigate the study participants. Pearson correlation was used to analyze the correlation between subjective well-being and mindfulness and optimism in patients after lung transplantation. AMOS 24.0 software was used to construct a mediating model to analyze the path relationship between mindfulness, optimism and subjective well-being.Results:A total of 205 questionnaires were distributed and 202 valid questionnaires were recovered, with an effective recovery rate of 98.54% (202/205). In 202 patients after lung transplantation, the WHO-5 Well-Being Scale total score, MAAS total score, and LOT-R score were (16.31±4.73), (56.75±9.44), and (18.49±3.85), respectively. Lung transplantation patients' subjective well-being was positively correlated with mindfulness and optimism ( r=0.570, 0.600, both P<0.01). Optimism partially mediated the relationship between mindfulness and subjective well-being, with an effect value of 0.290 and an effect proportion of 52.35% (0.290/0.554) . Conclusions:Mindfulness and optimism are both positively correlated with subjective well-being in post-lung transplantation patients, and mindfulness could also influence subjective well-being through the mediating effect of optimism. Healthcare professionals should fully explore and cultivate positive psychological resources, such as mindfulness, in lung transplant patients, by increasing optimism as the target of intervention, which in turn improves patients' subjective well-being.

Objective:To systematically evaluate and integrate the qualitative studies on nurses' experiences with nursing information systems, so as to provide a basis for improving the use and management of nursing information systems.Methods:The qualitative study on nurses' experiences, feelings, and attitudes toward nursing information systems was electronically searched in China National Knowledge Infrastructure, Wanfang Data, VIP, China Biology Medicine disc, PubMed, Web of Science, Cochrane Library, Embase, and PsycINFO. The retrieval period was from database establishment to December 2023. The quality of the literature was evaluated according to the Australia Joanna Briggs Institute Evidence-Based Health Care Centre Quality Assessment Criteria for Qualitative Research (2020). Two researchers independently completed the extraction of data and applied the aggregative synthesis to integrate the results.Results:A total of 10 articles were included. A total of 36 results were extracted, and seven new categories were summarized to form three integrated results, namely, the vertical evolution of technology acceptance attitudes, the "mixed blessing" of information technology, and the future-oriented expectations of users.Conclusions:Managers need to dynamically assess nurses' acceptance of the nursing information system, emphasize nurses' experience of annoyance, reduce their psychological burden, establish a sound feedback mechanism and supportive work environment, and effectively promote the construction of information technology.

Objective:To explore the relationship between mindfulness, optimism, and subjective well-being in post-lung transplantation patients, so as to provide a basis for nursing staff to improve patients' subjective well-being.Methods:This study was a cross-sectional survey. Convenience sampling was used to select 205 post-lung transplantation patients admitted to the First Affiliated Hospital of Guangzhou Medical University from October 2022 to November 2023 for the study. General Information Questionnaire, World Health Organization-Five Well-Being Scale, Mindful Attention Awareness Scale (MAAS) and Life Orientation Test-R (LOT-R) were used to investigate the study participants. Pearson correlation was used to analyze the correlation between subjective well-being and mindfulness and optimism in patients after lung transplantation. AMOS 24.0 software was used to construct a mediating model to analyze the path relationship between mindfulness, optimism and subjective well-being.Results:A total of 205 questionnaires were distributed and 202 valid questionnaires were recovered, with an effective recovery rate of 98.54% (202/205). In 202 patients after lung transplantation, the WHO-5 Well-Being Scale total score, MAAS total score, and LOT-R score were (16.31±4.73), (56.75±9.44), and (18.49±3.85), respectively. Lung transplantation patients' subjective well-being was positively correlated with mindfulness and optimism ( r=0.570, 0.600, both P<0.01). Optimism partially mediated the relationship between mindfulness and subjective well-being, with an effect value of 0.290 and an effect proportion of 52.35% (0.290/0.554) . Conclusions:Mindfulness and optimism are both positively correlated with subjective well-being in post-lung transplantation patients, and mindfulness could also influence subjective well-being through the mediating effect of optimism. Healthcare professionals should fully explore and cultivate positive psychological resources, such as mindfulness, in lung transplant patients, by increasing optimism as the target of intervention, which in turn improves patients' subjective well-being.

Objective:To systematically evaluate and integrate the qualitative studies on nurses' experiences with nursing information systems, so as to provide a basis for improving the use and management of nursing information systems.Methods:The qualitative study on nurses' experiences, feelings, and attitudes toward nursing information systems was electronically searched in China National Knowledge Infrastructure, Wanfang Data, VIP, China Biology Medicine disc, PubMed, Web of Science, Cochrane Library, Embase, and PsycINFO. The retrieval period was from database establishment to December 2023. The quality of the literature was evaluated according to the Australia Joanna Briggs Institute Evidence-Based Health Care Centre Quality Assessment Criteria for Qualitative Research (2020). Two researchers independently completed the extraction of data and applied the aggregative synthesis to integrate the results.Results:A total of 10 articles were included. A total of 36 results were extracted, and seven new categories were summarized to form three integrated results, namely, the vertical evolution of technology acceptance attitudes, the "mixed blessing" of information technology, and the future-oriented expectations of users.Conclusions:Managers need to dynamically assess nurses' acceptance of the nursing information system, emphasize nurses' experience of annoyance, reduce their psychological burden, establish a sound feedback mechanism and supportive work environment, and effectively promote the construction of information technology.

Objective Patients with acute coronary syndrome(ACS)combined with chronic kidney disease(CKD)are at high risk of major adverse cardiovascular events(MACE),and early prediction is crucial for improving prognosis.Non-invasive detection methods,due to their simplicity and safety,have become important tools for assessing risks in such patients.This study aims to evaluate the application value of non-invasive detection indicators in predicting MACE in ACS patients with CKD.Methods The study included 216 ACS patients with CKD,divided into a Non-MACE group(n=149)and a MACE group(n=67).General patient data,non-invasive detection indicators,electrocardiogram(ECG),and cardiac function indicators were collected.Univariate and multivariate logistic regression analyses were performed to explore the relationship between these indicators and MACE.A nomo-gram prediction model was constructed,and its performance was evaluated using ROC curve analysis,calibration curve,and decision curve analysis.Results Univariate analysis showed that age,BMI,SVR,SVRI,HRV,QTd,SDNN,LVEF,LVEDd,SCOPA-AUT score,and GRACE score were significantly associated with MACE.Multivariate analysis identified SVRI,QTd,SDNN,LVEF,LVEDd,SCOPA-AUT score,and GRACE score as independent risk factors for MACE.ROC curve analysis revealed that the model had an AUC value of 0.979,sensi-tivity of 0.925,specificity of 0.966,and accuracy of 0.9537,indicating high diagnostic accuracy.Calibration curve and decision curve analyses further confirmed the model's reliability.Conclusion Non-invasive detection indicators,including SVRI,QTd,SDNN,LVEF,LVEDd,SCOPA-AUT score,and GRACE score,have significant value in predicting MACE in ACS patients with CKD.The constructed prediction model provides an effective tool for clinical risk assessment.

As a type of experiential psychotherapy,Satir communication model can help the individual system and the family system achieve a state from dysfunction to healthy function,which can enrich the intervention connotation of family support and provide a new direction for the realization of full-life circle care.This paper aims to introduce the concept,core elements,common treatment techniques,application and effects,current challenges and relevant suggestions of Satir communication model in the nursing field from the perspective of family support,in order to provide references for the localization development and clinical integration of Satir communication model in the field of nursing in China.

The incidence of myopia among Chinese adolescents is progressively rising, indicating a distinct trend toward younger age onset.This paper aims to comprehensively review the impact of various visual performance on myopia and its progression, with a specific emphasis on accommodative function, convergence function, and ocular position. A meticulous exploration of accommodation function, encompassing accommodative amplitude, accommodative facility, accommodative response, positive relative accommodation, and negative relative accommodation, has been undertaken to elucidate its contributory role in myopia progression. Concurrently, an exhaustive analysis of convergence function has been conducted including esotropia and exotropia, convergence insufficiency and convergence excess, fusional function vergence, divergence insufficiency, and excess, providing a nuanced understanding of convergence's implications for myopia advancement. Furthermore, the influence of ocular position on myopia progression, along with other factors affecting perceptual ocular position and intermittent exotropia, is discussed. The primary objective of this article is to unveil the multifaceted visual performance influencing myopia and its progression, elucidating the paramount significance of accommodative function, convergence function, and ocular position in this context.

Objective:To anylyze the combination rule of prescriptions containing Cmnamomi Mmulus in the book of Treatise on Typhoid and Miscellaneous Diseases based on tree analysis algorith method. Methods:By collecting prescriptions contain Cmnamomi Mmulus in the book of Treatise on Typhoid and Miscellaneous Diseases, and applying the tree analysis algorithm method on the Ancient and Modern Medical Case Cloud Platform to co-occurrence calculate each layer of the prescriptions, we got the hierarchical tree structure diagram of Cmnamomi Mmulus prescriptions. Results:79 prescriptions containing 96 medicines were included, which appeared 529 times, with 7 different functions. The medicines that are frequently appeared include Cmnamomi Mmulus, Glycyrrhizae Radix Et Rhizoma Praeparata Cum Melle, Zingiberis Rhizoma Recens, Jujubae Fructus, etc. The main effects include relieving the exterior, warming the meridians, warming yang and promoting diuresis. The tree structure diagram of the prescription is divided into seven layers, including the largest items of Cmnamomi Mmulus, Glycyrrhizae Radix Et Rhizoma Praeparata Cum Melle,Zingiberis Rhizoma Recens, Jujubae Fructus, Paeoniae Radix Alba, Ephedrae Herba, Puerariae Lobatae Radix, and the collateral drugs of Poria, Atractylodis macrocephalae rhizoma, Alismatis Rhizoma, Zingiberis Rhizoma, etc. Conclusion:The formula tree analysis algorithm can connect the correlation between drugs in series, and show the relationship between a series of high-frequency co-occurrence drugs in the formula, which can be used for the learning of classics.

Objective:To compare the efficacy of 3D printing technology-assisted and conventional open reduction and internal fixation of multiple rib fracture.Methods:A retrospective cohort study was conducted to analyze the clinical data of 61 patients with multiple rib fracture admitted to Mindong Hospital Affiliated to Fujian Medical University and Fujian Provincial Hospital from July 2018 to March 2020. There were 44 males and 17 females, with age range of 18-73 years [(45.1±12.9)years]. Unilateral lung contusion and laceration occurred in 31 patients, while bilateral in 30. There were 19 patients accompanied by hempneumothorax and 16 by flail chest. Totally, 31 patients received 3D printing technology assisted open reduction and internal fixation (3D-assisted incision group) and 30 patients received conventional open reduction and internal fixation (conventional incision group). The incision length, operation time, intraoperative blood loss, postoperative 3-day visual analogue scale (VAS), duration of pain, indwelling time of chest tube, total length of hospital stay, postoperative bone callus formation time and rate of rib bone plate loosening were comapared in two groups. The short form 36 health survey (SF-36) score (ie, physical function, physical function, physical pain, general health, energy, social function, emotional function, mental health) preoperatively, at postoperative 6-month and at the last follow-up was compareted between two groups. Complications were observed at the same time.Results:All patients were followed up for 18-38 months [(26.4±5.5)months]. In 3D-assisted incision group, the incision length was (5.9±1.3)cm, with operation time for (84.6±7.8)minutes, intraoperative blood loss for (85.5±13.9)ml, postoperative 3-day VAS for (2.5±0.5)points, duration of pain for (5.9±0.7)days, indwelling time of chest tube for (3.4±0.7)days, total length of hospital stay for (7.0±1.0)days, postoperative callus formation time for (2.6±0.7)weeks and rate of rib bone plate loosening for 3.2%(1/31). By contrast, in conventional incision group, the incision length was (10.9±2.4)cm, with operation time for (127.1±12.5)minutes, intraoperative blood loss for (183.0±30.9)ml, postoperative 3-day VAS for (6.5±0.9)points, duration of pain for (11.2±1.8)days, indwelling time of chest tube for (7.8±0.8)days, total length of hospital stay for (15.1±1.2)days, postoperative callus formation time for (4.6±0.8)weeks and rate of rib bone plate loosening for 20.0%(6/30) ( P<0.05 or 0.01). There was no significant difference in preoperative SF-36 score between the two groups ( P>0.05). At 6 months after surgery, the subscores of SF-36 in 3D-assisted incision group were higher than those in conventional incision group except for "mental health" ( P<0.05 or 0.01). At the last follow-up, all the subscores of SF-36 in 3D-assisted incision group were higher than those in conventional incision group ( P<0.05 or 0.01). There were no obvious complications such as pulmonary infection or atelectasis. Conclusions:For multiple rib fracture, 3D printing technology-assisted open reduction and internal fixation is superior to conventional open reduction and internal fixation for it can shorten incision length, operation time, indwelling time of chest tube, total length of hospital stay and postoperative bone callus formation time, reduce intraoperative blood loss, relieve postoperative pain, reduce rate of rib bone plate loosening and improve quality of life of the patients.