Association between blood lipid levels and the risk of liver cancer: a systematic review and meta-analysis.

PURPOSE: The association between blood lipid levels and the risk of developing liver cancer remains a subject of ongoing debate. To elucidate this association, we conducted a meta-analysis by systematically incorporating data from all relevant prospective cohort studies. METHODS: We conducted a systematic search of the PubMed, Embase, Web of Science, and Cochrane Library databases covering studies published from database inception through July 2023. This study included prospective cohort studies related to lipid profiles (e.g., total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) levels) that reported hazard ratios (HRs) or relative risks (RRs) with corresponding 95% confidence intervals (95% CIs) to investigate their association with the risk of liver cancer. During the analysis process, we used fixed-effects or random-effects models based on the level of heterogeneity among the studies and obtained pooled risk ratios using these models. To ensure the robustness and reliability of the study findings, we also conducted sensitivity analyses and publication bias analyses. RESULTS: After conducting a systematic search, 12 studies were identified from a total of 11,904 articles and were included in the meta-analysis. These studies included a combined population of 10,765,221 participants, among whom 31,055 cases of liver cancer were reported. The analysis revealed that the pooled HR for the serum TC concentration (highest versus lowest) was 0.45 (95% CI = 0.35-0.58, I2 = 78%). For TGs, the HR was 0.67 (95% CI = 0.46-0.96, I2 = 86%), while for HDL-C, the HR was 0.72 (95% CI = 0.58-0.90, I2 = 65%). The HR for LDL-C was 0.51 (95% CI = 0.23-1.13, I2 = 93%). CONCLUSION: The findings of this study indicate that serum TC, TG, and HDL-C levels are negatively associated with liver cancer risk, suggesting that higher concentrations of these lipids are associated with a reduced risk of liver cancer. However, no significant association has been found between LDL-C levels and liver cancer risk.

Comparative effectiveness of oral antibiotics, probiotics, prebiotics, and synbiotics in the prevention of postoperative infections in patients undergoing colorectal surgery: A network meta-analysis.

Oral antibiotics (OAB), probiotics, prebiotics, and synbiotics are reported to be effective for preventing postoperative infection following colorectal surgery, but the comparative effectiveness between them has not been studied. To compare these interventions through a network meta-analysis. Ovid Medline, Embase, and the Cochrane Controlled Register of Trials (CENTRAL) were searched from inception to January 1, 2022 without any language restriction. Two reviewers independently screened the retrieved articles, assessed risk of bias, and extracted information from the included randomised controlled trials (RCTs). The primary outcome was infection rate, and the secondary outcome was anastomotic leakage rate. 4322 records were retrieved after literature search, and 20 RCTs recruiting 3726 participants were finally included. The analysis showed that usual care (UC) + Synbiotics ranked the most effective treatment (SUCRA = 0.968), UC + OAB ranked the second (SUCRA = 0.797), and UC + IAB ranked the third (SUCRA = 0.678) for preventing postoperative infection rate, but only UC + OAB achieved statistical significance. UC + OAB was the most effective treatment (SUCRA = 0.927) for preventing anastomotic leakage rate. Our study confirmed that preoperative administration of OAB was associated with lower infection rate and anastomotic leakage rate than placebo and UC alone. However, the beneficial effect of probiotics and synbiotics should still be investigated by large-scale randomised controlled trials.

Risk factors for catheter-associated urinary tract infection among hospitalized patients: A systematic review and meta-analysis of observational studies.

AIMS: The study aimed to identify the risk factors for catheter-associated urinary tract infection among hospitalized patients. We also tried to explore its potential effect on patient outcomes if possible. BACKGROUND: Catheter-associated urinary tract infection accounts for a large proportion of healthcare-associated infections and remains a considerable threat to patient safety worldwide. DESIGN: A systematic review and meta-analysis of observational studies. DATA SOURCES: We conducted an electronic search in PubMed, EMBASE, Web of Science, and the Cochrane Database of Systematic Reviews for studies published between January 2008-January 2018. REVIEW METHODS: Two reviewers searched the articles and extracted the data independently. The quality of the studies was assessed with the Newcastle-Ottawa Scale. RevMan 5.3 was used to perform the meta-analysis. RESULTS: Ten studies involving a total of 8785 participants with or without catheter-associated urinary tract infection were included. The average incidence of catheter-associated urinary tract infection was 13.79 per 1000 catheter days, with a prevalence rate of 9.33%. The meta-analysis demonstrated that patients at high risk for catheter-associated urinary tract infection were female, had a prolonged duration of catheterization, had diabetes, had previous catheterization, and had longer hospital and ICU stays. Additionally, catheter-associated urinary tract infection was also accompanied by an increase in mortality. CONCLUSIONS: Healthcare staff should focus on the identified risk factors for catheter-associated urinary tract infection. Further research is needed to investigate the microbial isolates and focus on the intervention strategies of catheter-associated urinary tract infection, so as to reduce its incidence and related mortality.

Practice and Training Needs of Staff Nurses Caring for Patients With Intestinal Ostomies in Primary and Secondary Hospitals in China: A Cross-Sectional Survey.

PURPOSE: The purpose of this study was to describe staff nurses' intestinal ostomy care practice in primary and secondary hospitals in China and their ostomy-related training needs. SUBJECTS AND SETTING: The target population for this study was first-line staff nurses working in general surgical departments in primary and secondary care hospitals in Luzhou, located in Sichuan Province, Southwest China. Hospitals in China are divided into 3 tiers; first tier facilities are usually located in townships and have fewer than 100 inpatients beds; secondary hospitals are usually found in medium-sized cities or districts and have between 100 and 500 inpatient beds. DESIGN: Descriptive, cross-sectional. METHODS: Participants were recruited through a stratified cluster sampling method based on hospital tier and the presence of general surgical department. Data were collected via a questionnaire that comprised 3 sections; the first section queried demographic and professional practice data, the second queried practice related to patients with intestinal ostomies, and the third queried nurses' stoma-related training needs. Links to the electronic survey were distributed through e-mail. RESULTS: Three hundred and eighteen nurses were invited to participate in the survey, and 280 questionnaires were returned, yielding a response rate of 88.05%. Review of data found that 214 questionnaires were sufficiently complete to be used in our data analysis. The mean intestinal ostomy practice score was 26.61 ± 7.98, indicating less than optimal engagement in ostomy care. Lack of manpower in the workplace and heavy workload of daily nursing were identified as leading barriers to continuing education in this area of practice. CONCLUSIONS: The ostomy-related practice of first-line staff nurses in Chinese primary and secondary hospitals showed less than optimal engagement in ostomy practice. We recommend creating additional ostomy-related continuing education targeted for nurses practicing in primary and secondary tier hospitals and removal of barriers to this education in order to improve ostomy care in primary and secondary tier hospitals in China.

Latent classes of health-promoting lifestyle in breast cancer patients undergoing chemotherapy in China: A cross-sectional survey.

AIM: To identify the latent classes of a health-promoting lifestyle and examine the associations of latent class profile with individual characteristics of breast cancer undergoing chemotherapy in China in order to provide some insights and recommendations for targeted and individualized health education of health-promoting lifestyle. DESIGN: A descriptive cross-sectional survey design was used for this work. METHODS: A total of 197 patients with breast cancer undergoing chemotherapy recruited from the Breast Cancer Outpatient Chemotherapy Clinic of a Grade 3A hospital were surveyed. Health-promoting lifestyle was measured using the Health Promotion Lifestyle Profile-II: Chinese Version Short (HPLP-IICR). Latent class analysis was used to examine respondents' health-promoting lifestyle patterns. Associations between the latent class membership and individual characteristics were examined using multinomial logistic regression. RESULTS: Four latent classes were identified: Class 1-Good Nutrition and Poor Physical Activity, Class 2-Poor Health Responsibility and Nutrition, Class 3-Active Health-Promoting Lifestyle, and Class 4-Medium Spiritual Growth and Poor Other Dimensions. Younger respondents and respondents with a higher score in anxiety and depression were more likely to be classified in Class 4 rather than Class 1 or 3. Respondents with low exercise self-efficacy were more likely to be classified in Class 4 than the others. Respondents in Class 4 had more chemotherapy symptom severity and interference, and cases of menopause were fewer in Class 4 rather than Class 3. Those in Class 4 were more likely to have been diagnosed with cancer within 3 months than those in Class 1.

Epidemiological characteristics of chronic non-communicable diseases in Dongfang, China, 2021: a cross-sectional survey.

OBJECTIVES: The study aimed to understand the composition, epidemiological characteristics and disease burden of chronic non-communicable diseases and to evaluate the association between sociodemographic factors and chronic non-communicable diseases. DESIGN: A cross-sectional study. SETTING AND PARTICIPANTS: Medical records of 196 761 residents were collected from Dongfang disease surveillance system from January to December 2021. PRIMARY OUTCOME: Prevalence and disability burden were recorded. Logistic regression was used to investigate the relationship between sociodemography factors and diseases. RESULTS: Cardiovascular diseases, chronic lower respiratory diseases and other upper respiratory tract diseases were the main chronic non-communicable diseases. In multivariable analysis, men were associated with increased risk of cardiovascular diseases (OR=1.210, 95% CI 1.162 to 1.261) and chronic lower respiratory diseases (OR=1.128, 95% CI 1.079 to 1.180). Older age was associated with increased risk of cardiovascular diseases (OR=83.952, 95% CI 58.954 to 119.550), whereas was associated with decreased risk of chronic lower respiratory diseases (OR=0.442, 95% CI 0.415 to 0.471) and other upper respiratory tract diseases (OR=0.450, 95% CI 0.411 to 0.493). The unemployed and poor household were associated with decreased risk of cardiovascular diseases (OR=0.463, 95% CI 0.412 to 0.521 and OR=0.390, 95% CI 0.342 to 0.444, respectively), whereas were associated with increased risk of chronic lower respiratory diseases (OR=12.219, 95% CI 6.343 to 23.539 and OR=10.954, 95% CI 5.666 to 21.177, respectively) and other upper respiratory tract diseases (OR=2.246, 95% CI 1.719 to 2.936 and OR=3.035, 95% CI 2.308 to 3.991, respectively). Gender and age moderated the association between personnel category and major diseases. CONCLUSIONS: The spectrum and epidemiological characteristics of chronic diseases observed in Dongfang is good evidence for developing prevention guides and health policies for region.

Polyimide Films Based on ß-Cyclodextrin Polyrotaxane with Low Dielectric and Excellent Comprehensive Performance.

In order to prepare polyimide (PI) films with a low dielectric constant and excellent comprehensive performance, a two-step method was employed in this study to integrate ß-cyclodextrin into a semi-aromatic fluorine-containing polyimide ternary system. By introducing trifluoromethyl groups to reduce the dielectric constant, the dielectric constant was further reduced to 2.55 at 10 MHz. Simultaneously, the film exhibited noteworthy thermal stability (a glass transition temperature exceeding 300 °C) and a high coefficient of thermal expansion. The material also demonstrated outstanding mechanical properties, boasting a strength of 122 MPa and a modulus of 2.2 GPa, along with high optical transparency (transmittance reaching up to 89% at 450 nm). Moreover, the inherent high transparency of colorless polyimide (CPI) combined with good stretchability contributed to the attainment of a low dielectric constant. This strategic approach not only opens up new opportunities for novel electroactive polymers but also holds potential applications in flexible displays, circuit printing, and chip packaging.

Landsat-based spatiotemporal estimation of subtropical forest aboveground carbon storage using machine learning algorithms with hyperparameter tuning.

Introduction: The aboveground carbon storage (AGC) in forests serves as a crucial metric for evaluating both the composition of the forest ecosystem and the quality of the forest. It also plays a significant role in assessing the quality of regional ecosystems. However, current technical limitations introduce a degree of uncertainty in estimating forest AGC at a regional scale. Despite these challenges, remote sensing technology provides an accurate means of monitoring forest AGC. Furthermore, the implementation of machine learning algorithms can enhance the precision of AGC estimates. Lishui City, with its rich forest resources and an approximate forest coverage rate of 80%, serves as a representative example of the typical subtropical forest distribution in Zhejiang Province. Methods: Therefore, this study uses Landsat remote sensing images, employing backpropagation neural network (BPNN), random forest (RF), and categorical boosting (CatBoost) to model the forest AGC of Lishui City, selecting the best model to estimate and analyze its forest AGC spatiotemporal dynamics over the past 30 years (1989-2019). Results: The study shows that: (1) The texture information calculated based on 9×9 and 11×11 windows is an important variable in constructing the remote sensing estimation model of the forest AGC in Lishui City; (2) All three machine learning techniques are capable of estimating forest AGC in Lishui City with high precision. Notably, the CatBoost algorithm outperforms the others in terms of accuracy, achieving a model training accuracy and testing accuracy R2 of 0.95 and 0.83, and RMSE of 2.98 Mg C ha-1 and 4.93 Mg C ha-1, respectively. (3) Spatially, the central and southwestern regions of Lishui City exhibit high levels of forest AGC, whereas the eastern and northeastern regions display comparatively lower levels. Over time, there has been a consistent increase in the total forest AGC in Lishui City over the past three decades, escalating from 1.36×107 Mg C in 1989 to 6.16×107 Mg C in 2019. Discussion: This study provided a set of effective hyperparameters and model of machine learning suitable for subtropical forests and a reference data for improving carbon sequestration capacity of subtropical forests in Lishui City.

Diagnostic Value of Immune-Related Genes in Kawasaki Disease.

Kawasaki disease (KD) is a systemic vasculitis that predominantly damages medium- and small-sized vessels, and mainly causes coronary artery lesions (CALs). The diagnostic criterion of KD mainly depends on clinical features, so children could be easily misdiagnosed and could suffer from CALs. Through analysis, a total of 14 immune-related DEGs were obtained, of which IL1B, ADM, PDGFC, and TGFA were identified as diagnostic markers of KD. Compared with the non-KD group, KD patients contained a higher proportion of naive B cells, activated memory CD4 T cells, gamma delta T cells, and neutrophils, while the proportions of memory B cells, CD8 T cells, activated memory CD4 T cells, and activated NK cells were relatively lower. In conclusion, immune-related genes can be used as diagnostic markers of KD, and the difference in immune cells between KD and non-KD might provide new insight into understanding the pathogenesis of KD.

Clinical application of accelerated rehabilitation surgery in elderly patients with colorectal cancer.

BACKGROUND: Gastrointestinal malignant tumors are the most common malignant tumors in elderly people in China, resulting in an increasing trend of morbidity and mortality. We conducted a non-randomized controlled trial to compare the effect of enhanced recovery after surgery (ERAS) versus Routine care on clinical outcomes in elderly patients after colorectal cancer surgery. METHODS: This is a single center, non-random, parallel-controlled clinical trial, 60 patients aged ≥65 years will be randomized for Case group ERAS and Control group (routine care). RESULTS: This study will help to evaluate the clinical feasibility, safety and effectiveness of ERAS in elderly patients undergoing colorectal resection compared with routine care. PROTOCOL REGISTRATION NUMBER: ChiCTR2000034984.

A novel method of temperature compensation for piezoresistive microcantilever-based sensors.

Microcantilever with integrated piezoresistor has been applied to in situ surface stress measurement in the field of biochemical sensors. It is well known that piezoresistive cantilever-based sensors are sensitive to ambient temperature changing due to highly temperature-dependent piezoresistive effect and mismatch in thermal expansion of composite materials. This paper proposes a novel method of temperature drift compensation for microcantilever-based sensors with a piezoresistive full Wheatstone bridge integrated at the clamped ends by subtracting the amplified output voltage of the reference cantilever from the output voltage of the sensing cantilever through a simple temperature compensating circuit. Experiments show that the temperature drift of microcantilever sensors can be significantly reduced by the method.