Clinical Application Research Articles

EX527, a sirtuins 1 inhibitor, sensitizes T-cell leukemia to death receptor-mediated apoptosis by downregulating cellular FLICE inhibitory protein

ABSTRACT Death receptor-mediated extrinsic apoptosis system had been developed as a promising therapeutic strategy in clinical oncology, such as TRAIL therapy. However, multiple studies have demonstrated that TRAIL resistance is the biggest problem for disappointing clinical trials despite preclinical success. Targeting cellular FLICE inhibitory protein (cFLIP) is one strategy of combinatorial therapies to overcome resistance to DR-mediated apoptosis due to its negative regulator of extrinsic apoptosis. E × 527 (Selisistat) is a specific inhibitor of SIRT1 activity with safe and well tolerance in clinical trials. Here, we show that E × 527 could strengthen significantly activation of rhFasL-mediated apoptotic signaling pathway and increased apoptotic rate of T leukemia cells with high expression of cFLIP. Mechanically, Inhibition of SIRT1 by E × 527 increased polyubiquitination level of cFLIP via increasing acetylation of Ku70, which could promote proteosomal degradation of cFLIP protein. It implied that combinatorial therapies of E × 527 plus TRAIL may have a potential as a novel clinical application for TRAIL-resistant hematologic malignancies.

Construction and validation of a novel forecasting nomogram to the risk of colorectal adenomas: preventing colorectal cancer at its origin.

Colorectal adenomas are responsible for the origin of most colorectal cancers (CRC). Early detection together with active intervention of colorectal adenomas plays a crucial role in the prevention of colorectal cancer. This study aimed to construct and validate a new nomogram for the forecasting of the risk of colorectal adenomas based on lifestyle risk factors that could offer potential benefits for CRC prevention. Colonoscopy reports, pathology reports, physical factors, family history, personal history of disease, diet, and lifestyle habits were collected from 1133 subjects who underwent complete colonoscopy. All subjects were divided into the training cohort (n = 792) and the validation cohort (n = 341). A nomogram predicting the risk of colorectal adenoma development was constructed using the training cohort and the C-index was calculated. The predictive accuracy and clinical applicability of the nomogram were verified in the validation cohort. The nomogram was constructed by 6 statistically significant variables selected from 18 health factors, including advanced age, male, smoking, drinking, pickles, and irregular defecation. The C-index of the training cohort was 0.778 and the C-index of the validation cohort was 0.754. The calibration curve and decision curve analysis (DCA) also confirmed that the model has good predictive ability and high profit. The nomogram constructed in this study was validated and can be applied to predicting the occurrence risk of colorectal adenoma. The model can guide the identification of patients with non-symptomatic colorectal adenomas and the recognition of high-risk individuals for whom a colonoscopy is advisable.

The role of immune cells in the pathogenesis of connective tissue diseases-associated pulmonary arterial hypertension

Connective tissue diseases-related pulmonary arterial hypertension (CTD-PAH) is a disease characterized by an elevated pulmonary artery pressure that arises as a complication of connective tissue diseases. The number of patients with CTD-PAH accounts for 25.3% of all PAH patients. The main pathological features of CTD-PAH are thickening of intima, media and adventitia of pulmonary arterioles, increased pulmonary vascular resistance, autoimmune activation and inflammatory reaction. It is worth noting that abnormal immune activation will produce autoantibodies and release cytokines, and abnormal immune cell recruitment will promote inflammatory environment and vascular remodeling. Therefore, almost all forms of connective tissue diseases are related to PAH. In addition to general therapy and targeted drug therapy for PAH, high-dose glucocorticoid combined with immunosuppressant can quickly alleviate and stabilize the basic CTD-PAH disease. Given this, the development of therapeutic approaches targeting immune dysregulation and heightened inflammation is recognized as a promising strategy to prevent or reverse the progression of CTD-PAH. This review explores the potential mechanisms by which immune cells contribute to the development of CTD-PAH and examines the clinical application of immunosuppressive therapies in managing CTD-PAH.

Construction of chlorogenic acid nanoparticles for effective alleviation of ulcerative colitis.

The onset and progression of ulcerative colitis (UC) are intricately linked to the worsening of intestinal inflammation, an imbalance in oxidative stress, and impairment of the intestinal mucosal barrier. Although chlorogenic acid (CA) shows potential in effectively alleviating the symptoms of UC, its clinical application is hindered by its poor bioavailability, stability, rapid metabolism, and quick excretion. This study utilized a one-step enzyme-catalyzed polymerization technique to create chlorogenic acid nanoparticles (CA NPs), aiming to improve the bioavailability and stability of CA. The CA NPs exhibited an optimal nanosize (106.65 ± 4.12 nm) and showed increased cellular uptake over time. Importantly, CA NPs significantly prolonged retention time in inflamed colonic tissues, enhancing accumulation and providing a targeted therapy for UC. Animal studies confirmed the substantial benefits of CA NPs, including reduced weight loss, lessened reduction in colon length, and a lowered disease activity index (DAI) score in DSS-induced UC mice. Moreover, CA NPs effectively reduced oxidative stress and levels of inflammatory factors in the colonic tissues of UC mice, thus mitigating tissue damage and restoring the integrity of the intestinal mucosal barrier. In conclusion, our research proposes a novel approach to increase the bioavailability and stability of CA, offering a promising avenue for its effective application in preventing UC.

New developments in obesity and their clinical application

New developments in obesity and their clinical application

L-Arginine-Loaded Oxidized Isabgol/Chitosan-Based Biomimetic Composite Scaffold Accelerates Collagen Synthesis, Vascularization, and Re-epithelialization during Wound Healing in Diabetic Rats.

Impaired wound healing in diabetic wounds is common due to infection, inflammation, less collagen synthesis, and vascularization. Diabetic wound healing in patients is still a challenge and needs an ideal wound dressing to treat and manage diabetic wounds. Herein, an efficacious wound dressing biomaterial was fabricated by cross-linking oxidized isabgol (Oisab) and chitosan (Cs) via trisodium trimetaphosphate and Schiff base bonds. l-Arginine (l-Arg) was incorporated as a bioactive substance in the Oisab + Cs scaffold to promote cell adhesion, cell proliferation, collagen synthesis, and vascularization. The fabricated scaffolds showed microporous networks in the scanning electron microscopy analysis. The scaffold also possessed excellent hemocompatibility. In vitro studies using fibroblasts (L929 and human dermal fibroblast cells) confirmed the cytocompatibility of these scaffolds. The results of the in vivo chicken chorioallantoic membrane assay confirmed the proangiogenic activity of the Oisab + Cs + l-Arg scaffolds. The wound-healing potential of these scaffolds was studied in streptozotocin-induced diabetic rats. This in vivo study showed that the period of epithelialization in the Oisab + Cs + l-Arg scaffold-treated wounds was 21.67 ± 1.6 days, which was significantly faster than the control (30.33 ± 2.5 days). Histological and immunohistochemical studies showed that the Oisab + Cs + l-Arg scaffolds significantly accelerated the rate of wound contraction by reducing inflammation, improving collagen synthesis, and promoting neovascularization. These findings suggest that the Oisab + Cs + l-Arg scaffolds could be beneficial in treating diabetic wounds in clinical applications.

3D Printing as a Strategy to Scale-Up Biohybrid Hydrogels for T Cell Manufacture.

The emergence of cellular immunotherapy treatments is introducing more efficient strategies to combat cancer as well as autoimmune and infectious diseases. However, the cellular manufacturing procedures associated with these therapies remain costly and time-consuming, thus limiting their applicability. Recently, lymph-node-inspired PEG-heparin hydrogels have been demonstrated to improve primary human T cell culture at the laboratory scale. To go one step further in their clinical applicability, we assessed their scalability, which was successfully achieved by 3D printing. Thus, we were able to improve primary human T cell infiltration in the biohybrid PEG-heparin hydrogels, as well as increase nutrient, waste, and gas transport, resulting in higher primary human T cell proliferation rates while maintaining the phenotype. Thus, we moved one step further toward meeting the requirements needed to improve the manufacture of the cellular products used in cellular immunotherapies.

Exploring the Insights on Exosomes and their Utility in Treating Ophthalmic Disease: Delving into the Clinical Approval and Present Trials.

Ophthalmic diseases include a wide array of conditions, each requiring individualized treatment approaches. In ophthalmic research and as therapeutics against potential pharmacological indications, several subtypes of exosomes (EVs) have been reconnoitered, mainly for their regenerative, neuroprotective, and anti-inflammatory characteristics. EVs are recently gaining wider attention as promising vehicles for therapies because of their natural participation in communication between cells and targeted delivery. These small vesicles, derived from cells, transport numerous molecules between cells, thus contributing advantages like low immunogenicity, stability, and the ability to target cells specifically. These inherent advantages of carrying the therapeutic cargo and enabling intercellular signaling make them a captivating avenue for progressing ophthalmic disease treatment options. While research is ongoing, and clinical applications are still emerging, several EV subtypes have shown promise for possible applications in addressing several ophthalmic diseases, such as glaucoma, age-related macular degenerative disorders, retinal degenerative disorders, and ocular inflammatory conditions.

Methods for phenotyping adult patients with acute kidney injury: a systematic review.

Acute kidney injury (AKI) is a multifaceted disease characterized by diverse clinical presentations and mechanisms. Advances in artificial intelligence have propelled the identification of AKI subphenotypes, enhancing our capacity to customize treatments and predict disease trajectories. We conducted a systematic review of the literature from 2017 to 2022, focusing on studies that utilized machine learning techniques to identify AKI subphenotypes in adult patients. Data were extracted regarding patient demographics, clustering methodologies, discriminators, and validation efforts from selected studies. The review highlights significant variability in subphenotype identification across different populations. All studies utilized clinical data such as comorbidities and laboratory variables to group patients. Two studies incorporated biomarkers of endothelial activation and inflammation into the clinical data to identify subphenotypes. The primary discriminators were comorbidities and laboratory trajectories. The association of AKI subphenotypes with mortality, renal recovery and treatment response was heterogeneous across studies. The use of diverse clustering techniques contributed to variability, complicating the application of findings across different patient populations. Identifying AKI subphenotypes enables clinicians to better understand and manage individual patient trajectories. Future research should focus on validating these phenotypes in larger, more diverse cohorts to enhance their clinical applicability and support personalized medicine in AKI management.

Deployment of an Artificial Intelligence Histology Tool to Aid Qualitative Assessment of Histopathology Using the Nancy Histopathology Index in Ulcerative Colitis.

Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by increased stool frequency, rectal bleeding, and urgency. To streamline the quantitative assessment of histopathology using the Nancy Index in UC patients, we developed a novel artificial intelligence (AI) tool based on deep learning and tested it in a proof-of-concept trial. In this study, we report the performance of a modified version of the AI tool. Nine sites from 6 countries were included. Patients were aged ≥18 years and had UC. Slides were prepared with hematoxylin and eosin staining. A total of 791 images were divided into 2 groups: 630 for training the tool and 161 for testing vs expert histopathologist assessment. The refined AI histology tool utilized a 4-neural network structure to characterize images into a series of cell and tissue type combinations and locations, and then 1 classifier module assigned a Nancy Index score. In comparison with the proof-of-concept tool, each feature demonstrated an improvement in accuracy. Confusion matrix analysis demonstrated an 80% correlation between predicted and true labels for Nancy scores of 0 or 4; a 96% correlation for a true score of 0 being predicted as 0 or 1; and a 100% correlation for a true score of 2 being predicted as 2 or 3. The Nancy metric (which evaluated Nancy Index prediction) was 74.9% compared with 72.3% for the proof-of-concept model. We have developed a modified AI histology tool in UC that correlates highly with histopathologists' assessments and suggests promising potential for its clinical application.

Insights on estetrol, the native estrogen: from contraception to hormone replacement therapy.

Estetrol (E4) is a natural estrogen that has recently emerged as new option for contraception and hormone replacement therapy (HRT). Unlike other estrogens, E4 primarily stimulates nuclear estrogen receptor alpha (ERα) and does not activate membrane ERα. For this reason, this novel estrogen has tissue-specific effects across various organs such as liver, vascular endothelium, mammary glands, brain, vagina, and uterus. The selective activation of the nuclear ERα results in distinct pharmacological properties that contribute to its unique therapeutic profile. Moreover, E4 shows minimal interaction with the hepatic cytochrome P450 enzyme system, leading to a favorable pharmacokinetic profile and a reduced potential for drug-drug interactions. Currently, E4 is commercially available in combination with drospirenone as a combined oral contraceptive and its application in HRT is undergoing late-stage clinical development. Many studies have demonstrated that E4 has a lower impact on hemostatic and metabolic parameters compared to other estrogens, potentially reducing the risk of adverse effects commonly associated with hormonal therapies such as thromboembolic events or dyslipidemia. Beyond its role in contraception and HRT, E4 shows promising therapeutic potential in other medical fields, including neuroprotection in neonatal hypoxic-ischemic encephalopathy, enhancement of hematopoietic stem cell transplantation outcomes and prostate cancer management. This review synthesizes the latest evidence on E4 primarily focusing on its pharmacological characteristics and clinical applications. The findings suggest that E4 versatility and peculiar mechanism of action may represent an important therapeutic option for a broad spectrum of medical conditions.

Pilot study to expore the length, readability and regulatory compliance of informed consent forms in clinical trial applications across the EU

Pilot study to expore the length, readability and regulatory compliance of informed consent forms in clinical trial applications across the EU

Validation of a genome-based model for adjusting radiotherapy dose (GARD) in patients with locally advanced rectal cancer

Neoadjuvant radiotherapy is the standard care of locally advanced rectal cancer. Although a majority of patients received the same dose, the curative efficacy varies among individuals. In recent years, cancer treatment has entered the era of precise medical care, and how to identify patients for proper treatment by molecular signature is an important path of individualized therapy. This study aimed to establish and validate a genome-based model for adjusting radiation dose (GARD) for Chinese locally advanced rectal cancer through gene expression microarrays, and to evaluate the response of the GARD model in predicting the efficacy of neoadjuvant radiotherapy. Fresh-frozen primary tumor from 64 patients with locally advanced rectal cancer undergoing neoadjuvant radiotherapy from 2015 to 2018 were included. The gene expression profile was analyzed using Affymetrix 3000Dx gene-chip scanner. The radiosensitivity index (RSI) and GARD were calculated using the pGRT™ algorithm. Neoadjuvant rectal cancer score (NAR) was selected as efficacy evaluation indicators. Patients were divided into high and low NAR scoring groups, and two-sample t-test was used to analyze the differences in GARD values between different NAR subgroups. ROC curves were used to calculate the cut-off values and the area under the curve (AUC) for assessing the validity of the GARD models. The personalized radiation dose ( pGRT dose )can be computed using the formula nd = GARD / (α + βd). Among patients, 1.5% T2, 46.3% T3, and 52.2% T4. Wherein pCR (n = 10; 15.6%) and no pCR (n = 54; 84.4%). The median NAR is 8.43 (rang from 0 to 50.34, IQR 3.75–14.98). NAR > 8.43 (n = 27; 42.2%) and NAR ≤ 8.43 (n = 37; 57.8%), suggesting that there are significant individual differences in clinical efficacy of patients with similar tumor stages and under the same treatment conditions. The median RSI is 0.48 (rang from 0.22 to 0.92, IQR 0.41–0.55). Median GARD was 18.40 rang from (rang from 2.26 to 37.52, IQR 14.94–22.28) within tumor tissue, suggesting individual differences in the efficacy of radiation therapy. The RSI value was significantly lower in the NAR low group (NAR ≤ 8.43) than in NAR high group (NAR > 8.43) (0.44 vs. 0.54, p = 0.0003). The GARD value was significantly higher in the NAR low group (NAR ≤ 8.43) than in NAR high group (NAR > 8.43) (21.01 vs. 15.88, p = 0.0004). Using the Receiver Operating Characteristic (ROC) curve analysis, a GARD threshold of 17 was identified as optimal, covering 37.5% of the 64-patient sample, with an area under the curve (AUC) of 0.75. In the external validation cohort, the high GARD score group demonstrated superior DFS compared to the low GARD score group(p < 0.001). Only 17% of patients had pGRT dose within the guideline recommended dose (45–50 Gy). The differences in NAR values among LARC patients receiving standard neoadjuvant radiotherapy suggest significant individual differences in clinical outcomes among patients with similar tumor stage and the same treatment conditions. Patients with a GARD value exceeding 17 exhibit a more favorable prognosis. Our results suggest that the gene expression-based pGRT™ algorithm has good efficacy prediction performance in preoperative concurrent radiotherapy for locally advanced rectal cancer, suggesting the potential clinical application of this method to guide the designation of individualized radiotherapy doses.

Targeting the PI3K/AKT signaling pathway with PNU120596 protects against LPS-induced acute lung injury.

This study investigated the potential therapeutic benefits of PNU120596, a positive allosteric modulator of the α7 nicotinic acetylcholine receptor (α7nAChR), in mitigating acute lung injury (ALI) induced by lipopolysaccharide (LPS) in a mouse model. Specifically, we sought to examine the impact of PNU120596 on the PI3K/AKT signaling pathway in the context of ALI. ALI was induced in mice by LPS administration, and the protective effects of PNU120596 were assessed. Lung injury, lung function, and the inflammatory response were evaluated. Additionally, the activation of the PI3K/AKT signaling pathway was examined, along with the levels of inflammatory factors and oxidative stress markers. PNU120596 significantly ameliorated LPS-induced lung injury, improved lung function, and reduced the inflammatory response in the mouse model of ALI. Furthermore, we observed that PNU120596 inhibited the activation of the PI3K/AKT signaling pathway, which was associated with decreased levels of inflammatory factors and oxidative stress markers. PNU120596 exhibits promising therapeutic potential for the treatment of acute lung injury, potentially by targeting the PI3K/AKT signaling pathway. These findings suggest that modulation of the α7 nicotinic acetylcholine receptor with PNU120596 may offer a viable strategy for the management of ALI, warranting further investigation and potential clinical applications.

Construction and evaluation of sarcopenia risk prediction model for patients with diabetes: a study based on the China health and retirement longitudinal study (CHARLS)

PurposeSarcopenia is a common complication of diabetes. Nevertheless, precise evaluation of sarcopenia risk among patients with diabetes is still a big challenge. The objective of this study was to develop a nomogram model which could serve as a practical tool to diagnose sarcopenia in patients with diabetes.MethodsA total of 783 participants with diabetes from China Health and Retirement Longitudinal Study (CHARLS) 2015 were included in this study. After oversampling process, 1,000 samples were randomly divided into the training set and internal validation set. To mitigate the overfitting effect caused by oversampling, data of CHARLS 2011 were utilized as the external validation set. Least absolute shrinkage and selection operator (LASSO) regression analysis and multivariate logistic regression analysis were employed to explore predictors. Subsequently, a nomogram was developed based on the 9 selected predictors. The model was assessed by area under receiver operating characteristic (ROC) curves (AUC) for discrimination, calibration curves for calibration, and decision curve analysis (DCA) for clinical efficacy. In addition, machine learning models were constructed to enhance the robustness of our findings and evaluate the importance of the predictors.Results9 factors were selected as predictors of sarcopenia for patients with diabetes. The nomogram model exhibited good discrimination in training, internal validation and external validation sets, with AUC of 0.808, 0.811 and 0.794. machine learning models revealed that age and hemoglobin were the most significant predictors. Calibration curves and DCA illustrated excellent calibration and clinical applicability of this model.ConclusionThis comprehensive nomogram presented high clinical predictability, which was a promising tool to evaluate the risk of sarcopenia in patients with diabetes.

The Effect of NPWT on Odontogenic Cervical Necrotizing Fasciitis.

To investigate the clinical efficacy of negative pressure wound therapy (NPWT) in the treatment of odontogenic cervical Necrotizing fasciitis (CNF). Sixteen cases of odontogenic cervical necrotizing fasciitis were randomly divided into observation group and control group after routine debridement and disinfection. The patients in the control group were treated with drainage tube and regular dressing changes, while those in the observation group were treated with NPWT. The therapeutic effects of the 2 groups were compared. The frequency of operation, treatment length, and cost of treatment in the observation group were significantly less than those in the control group (P<0.05). During the treatment, the VAS (visual analog scale of pain) in the observation group was significantly lower than that in the control group (P<0.05). The levels of WBC, CRP, PCT, IL-6, and TNF-α in the observation group were lower than those in the control group (P<0.05). The levels of Il-10 and VEGF in the observation group were higher than those in the control group (P<0.05), the difference was statistically significant. The condition of odontogenic cervical necrotizing fasciitis progresses rapidly. Compared with conventional drainage and dressing change, NPWT can control infection in a short time, reduce operation frequency and treatment cost, and promote wound healing, shorten the treatment time, ease the pain of patients, improve the quality of life. The therapeutic scheme is safe, effective, and suitable for clinical application.

Diagnostic accuracy of artificial intelligence-assisted caries detection: a clinical evaluation

ObjectiveThis clinical study aimed to evaluate the practical value of integrating an AI diagnostic model into clinical practice for caries detection using intraoral images.MethodsIn this prospective study, 4,361 teeth from 191 consecutive patients visiting an endodontics clinic were examined using an intraoral camera. The AI model, combining MobileNet-v3 and U-net architectures, was used for caries detection. The diagnostic performance of the AI model was assessed using sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy, with the clinical diagnosis by endodontic specialists as the reference standard.ResultsThe overall accuracy of the AI-assisted caries detection was 93.40%. The sensitivity and specificity were 81.31% (95% CI 78.22%-84.06%) and 95.65% (95% CI 94.94%-96.26%), respectively. The NPV and PPV were 96.49% (95% CI 95.84%-97.04%) and 77.68% (95% CI 74.49%-80.58%), respectively. The diagnostic accuracy varied depending on tooth position and caries type, with the highest accuracy in anterior teeth (96.04%) and the lowest sensitivity for interproximal caries in anterior teeth and buccal caries in premolars (approximately 10%).ConclusionThe AI-assisted caries detection tool demonstrated potential for clinical application, with high overall accuracy and specificity. However, the sensitivity varied considerably depending on tooth position and caries type, suggesting the need for further improvement. Integration of multimodal data and development of more advanced AI models may enhance the performance of AI-assisted caries detection in clinical practice.

Reference values for exhaled nitric oxide in healthy children aged 6–18 years in China: a cross-sectional, multicenter clinical study

BackgroundThe reference values of eNO have certain differences among people of different countries and races. We aimed to obtain the reference value of eNO in healthy children and adolescents (6–18 years old) in China and to explore the associations between the reference values with ages, gender, heights, BMI, and regions.MethodsWe measured FeNO50 levels in 5949 healthy Chinese children and adolescents, FeNO200 and CaNO levels in 658 participants from 16 provinces of 7 administrative areas in China aged 6–18. All persons were studied after obtaining informed consent from children and their parents.ResultsThe mean FeNO50 of 5949 Chinese children and adolescents aged 6–18 years was 14.1 ppb, with a 95% confidence interval of 1-38.1 ppb. The mean FeNO200 of 658 persons was 6.9 ppb with a 95% upper confidence interval of 15.0 ppb, and the mean CaNO was 3.0 ppb with a 95% upper confidence interval of 11.2 ppb. In the 6–11 age group, age and height were correlated with the logarithm of FeNO50 (P < 0.001, P < 0.05). There was no significant correlation between the logarithm of FeNO200 and gender, age, height and BMI (all P > 0.05). The logarithm of CaNO was correlated with gender (P < 0.05). In the 12–18 age group, gender, height, and region were correlated with the logarithm of FeNO50 (all P < 0.001). There was only a weak correlation between the logarithm of FeNO200 and height (P < 0.001). The logarithm of CaNO was negatively correlated with age (P < 0.05).ConclusionsHigher FeNO50, FeNO200 and CaNO values were found in healthy children and adolescents in China compared with foreign reports, and is affected by age, height, gender, and region. This study provides useful references for clinical application of eNO in children, especially Asian children.

Positioning exercises in improving the quality of magnetic-controlled capsule endoscopy

BackgroundGood gastric preparation is indispensable for Magnetic-controlled Capsule Endoscopy (MCE) examination, but there is no consensus yet. We aim to explore the clinical application value of positioning exercises in improving the quality of MCE examination.MethodsClinical data of 326 patients who underwent MCE examination from January 2020 to December 2023 were collected. The included patients were divided into two groups: the conventional medication preparation group (CMP group, accepted mucosal cleansing medication only) and the positioning exercises group (PE group, accepted mucosal cleansing medication plus positioning exercises). A comparison was made between the two groups in terms of gastric cavity cleanliness score, visibility score, and detection rate of positive lesions.ResultsThe examination time was (21.29 ± 5.82) minutes in the PE group and (30.54 ± 6.37) minutes in the CMP group, showing a significant difference between the two groups (P < 0.001). The total cleanliness score and visibility score in the CMP group were 15.89 ± 2.82 and 10.93 ± 2.12, respectively. In contrast, the total cleanliness score and visibility score in the PE group were 19.52 ± 2.26 and 15.09 ± 2.31, respectively. The PE group showed significantly better cleanliness scores and visibility scores in all six anatomical regions compared to the CMP group (All P < 0.001). However, there was no significant difference in the detection rate of positive lesions between the two groups (All P > 0.05).ConclusionPositioning exercises before MCE examination can improve the quality of gastric mucosal images and reduce the duration of the examination for patients.

Study of the intensive care unit activity scale in the early rehabilitation of patients after direct cardiac surgery.

Direct cardiac surgery often necessitates intensive post-operative care, and the intensive care unit (ICU) activity scale represents a crucial metric in assessing and guiding early rehabilitation efforts to enhance patient recovery. To clarify the clinical application value of the ICU activity scale in the early recovery of patients after cardiac surgery. One hundred and twenty patients who underwent cardiac surgery between September 2020 and October 2021 were selected and divided into two groups using the random number table method. The observation group was rated using the ICU activity scale and the corresponding graded rehabilitation interventions were conducted based on the ICU activity scale. The control group was assessed in accordance with the routine rehabilitation activities, and the postoperative rehabilitation indexes of the patients in both groups were compared (time of tracheal intubation, time of ICU admission, occurrence of complications, and activity scores before ICU transfer). The two groups were compared according to postoperative rehabilitation indicators (time of tracheal intubation, length of ICU stay, and occurrence of complications) and activity scores before ICU transfer. In the observation group, tracheal intubation time lasted for 18.30 ± 3.28 h and ICU admission time was 4.04 ± 0.83 d, which were significantly shorter than the control group (t-values: 2.97 and 2.038, respectively, P < 0.05). The observation group also had a significantly lower number of complications and adverse events compared to the control group (P < 0.05). Before ICU transfer, the observation group (6.7%) had few complications and adverse events than the control group (30.0 %), and this difference was statistically significant (P < 0.05). Additionally, the activity score was significantly higher in the observation (26.89 ± 0.97) compared to the control groups (22.63 ± 1.12 points) (t-value; -17.83, P < 0.05). Implementation of early goal-directed activities in patients who underwent cardiac surgery using the ICU activity scale can promote the recovery of cardiac function.