Conectar
Breast cancer stands as the most prevalent type of cancer affecting women globally, and chemotherapy plays a pivotal role in its treatment by diminishing tumour recurrence and enhancing the survival rates of patients. However, chemotherapy-related cognitive impairment (CRCI) often occurs in patients undergoing treatment. Although multiple clinical trials have indicated that exercise therapy can improve CRCI in patients with breast cancer, there are variations in the types of exercise interventions and their effectiveness. We aim to perform a pioneering network meta-analysis (NMA) to assess and prioritise the effectiveness of various exercise interventions in enhancing cognitive function in patients with breast cancer undergoing chemotherapy.
We will search multiple databases, including PubMed, Web of Science, Cochrane, Embase, China National Knowledge Infrastructure, VIP Database for Chinese Technical Periodicals, Wanfang and Sinomed databases, from their inception to May 2023. The main outcome is the cognitive function changes in patients with breast cancer, including subjective and objective results. We will specifically include randomised controlled trials reported in English and Chinese languages, whose primary outcome consists of an assessment of the cognitive function of patients with breast cancer using standardised and validated assessment tools, encompassing both subjective and objective outcomes. The quality of all the trials included will be evaluated based on ‘Version 2 of the Cochrane tool for assessing the risk of bias in randomized controlled trials (RoB2)’. We will conduct a Bayesian NMA to thoroughly evaluate and compare the effectiveness of different exercise interventions. We will use cumulative ranking probability plots to estimate the ranking of the best interventions for various exercises. Network plots and funnel plots will be employed to display the study sizes and participants of each exercise intervention, as well as potential publication biases.
The study findings will be shared via peer-reviewed journals to ensure the highest quality and credibility of the research. As the reporting will not include any private patient data, there are no ethical considerations associated with this protocol.
CRD42023406597.
Chronic diseases have a high prevalence worldwide, and patients with chronic diseases often suffer from depression, leading to a poor prognosis and a low quality of life. Metacognitive therapy is a transdiagnostic psychotherapy intervention focused on thinking patterns, with the advantages of reliable implementation effect, short intervention period and low cost. It can help patients change negative metacognition, alleviate depression symptoms, and has a higher implementation value compared with other cognitive interventions. Therefore, metacognitive therapy may be an effective way to improve the mental health of patients with chronic diseases.
CNKI, Wanfang Database, VIP Database for Chinese Technical Periodicals, Sinomed, PubMed, SCOPUS, Embase, The Cochrane Library, Web of Science and PsycINFO will be used to select the eligible studies. As a supplement, websites (eg, the Chinese Clinical Registry, ClinicalTrials.gov) will be searched and grey literature will be included. The heterogeneity and methodological quality of the eligible studies will be independently screened and extracted by two experienced reviewers. All the data synthesis and analysis (drawing forest plots, subgroup analysis and sensitive analysis) will be conducted using RevMan 5.4.1.
This article is a literature review that does not include patients’ identifiable information. Therefore, ethical approval is not required in this protocol. The findings of this systematic review and meta-analysis will be published in a peer-reviewed journal as well as presentations at relevant conferences.
CRD42023411105.
Pre-eclampsia (PE) affects about 5% of Chinese pregnant women and is a major cause of maternal and perinatal morbidity and mortality. The first trimester screening model developed by the Fetal Medicine Foundation, which uses the Bayes theorem to combine maternal characteristics and medical history together with measurements of biomarkers, has been proven to be effective and has superior screening performance to that of the traditional risk factor-based approach for the prediction of PE. Prophylactic use of low-dose aspirin in women at risk for PE has resulted in a lower incidence of preterm-PE. However, there is no consensus on the preferred aspirin dosage for the prevention of preterm-PE. Evidence has also suggested that metformin has the potential benefit in preventing PE in pregnant women who are at high risk of the disorder.
We present a protocol (V.2.0, date 17 March 2022) for the AVERT trial, which is a multicentre, double-blinded, 3-arm randomised controlled trial (RCT) that uses an effective PE screening programme to explore the optimal dosage of aspirin and the role of metformin for the prevention of PE among high-risk pregnant women in China. We intend to recruit 66 000 singleton pregnancies without treatment of low-dose aspirin and metformin at 11–13 weeks’ gestation and all eligible women attending for their first trimester routine scan will be invited to undergo screening for preterm-PE by the combination of maternal factors, mean arterial pressure and placental growth factor. Women found to be at high risk of developing preterm-PE will be invited to take part in the RCT. This study will compare the incidence of preterm-PE with delivery at
Ethical approval for the study was obtained from the Joint Chinese University of Hong Kong–New Territories East Cluster Clinical Research Ethics Committee (CREC Ref. No. 2021.406) in Hong Kong and the Ethics Committee of each participating hospital in Mainland China. The study is registered at ClinicalTrials.gov. The results of the AVERT trial will be disseminated at international academic conferences and published in high-impact factor journals.
The accurate assessment of wound healing post-caesarean section, especially in twin pregnancies, remains a pivotal concern in obstetrics, given its implications for maternal health and recovery. Traditional methods, including conventional abdominal ultrasonography (CU), have been challenged by the advent of transvaginal ultrasonography (TU), offering potentially enhanced sensitivity and specificity. This meta-analysis directly compares the efficacy of TU and CU in evaluating wound healing and scar formation, crucial for optimizing postoperative care. Results indicate that TU is associated with significantly better outcomes in wound healing, demonstrated by lower REEDA scores (SMD = −20.56, 95% CI: [−27.34.20, −13.77], p < 0.01), and in scar formation reduction, evidenced by lower Manchester Scar Scale scores (SMD = −25.18, 95% CI: [−29.98, −20.39], p < 0.01). These findings underscore the potential of integrating TU into routine post-caesarean evaluation protocols to enhance care quality and patient recovery.
To analyse the risk factors affecting wound healing and infection after spinal meningioma resection surgery. The surgical incision healing of 137 patients who underwent spinal meningioma resection at our hospital from January 2021 to January 2024 was analysed. The data collected included physical examination findings, haematological and biochemical measurements, and various scales assessed upon admission and after surgery. These data were then analysed. The surgical wound healing, infection and postoperative complications were statistically analysed. Multiple logistic regression analysis method was used to conduct risk factor analysis on corresponding indicators; the odds ratio and p value of 95% confidence interval were calculated. Factors such as age and smoking history were significantly negatively correlated with wound healing after meningioma resection (odds ratio < 1.000, p < 0.05), while preoperative albumin and platelet count were significantly positively correlated with wound healing (odds ratio > 1.000, p < 0.05). Age, WHO Meningioma Grading, preoperative albumin and preoperative platelet were significantly negatively correlated with wound infection after meningioma resection (odds ratio < 1.000, p < 0.05). The history of virus infection and history of neurological disorders were significantly positively correlated with wound infection (odds ratio > 1.000, p < 0.05). The influence of each factor is different. Age, smoking history, WHO Meningioma Grading, preoperative albumin, preoperative platelets, history of virus infection and history of neurological disorders had the greatest influence on wound healing and infection after meningioma resection.
Perimenopause is a critical transitional period in reproductive ageing. A set of physiological and psychological changes can affect perimenopausal women’s quality of life and further threaten their older adult health conditions. In China, less than one-third of midlife women with menopausal symptoms have actively sought professional healthcare. Regarding the public health significance of comprehensive menopause management, the current study aims to investigate the effects of a therapeutic lifestyle modification (TLM) intervention on cardiometabolic health, sexual functioning and health-related quality of life among perimenopausal Chinese women.
A randomised controlled trial with two parallel arms will be conducted at the gynaecology outpatient department of Yunnan Provincial Hospital of Traditional Chinese Medicine in China. 94 eligible perimenopausal women aged between 40 and 55 years will be recruited for the study. The TLM intervention consists of four elements: menopause-related health education, dietary guidance, pelvic floor muscle training and Bafa Wubu Tai Chi exercise. Participants will be randomly assigned (1:1) to receive either the 12-week TLM intervention or routine care via stratified blocked randomisation. The primary outcome is quality of life; secondary outcomes of interest include sexual functioning and cardiometabolic health. The outcome measures will be assessed at baseline and post-intervention. To explore the effects of the intervention, linear mixed models will be applied to test the changes between the two groups over time in each outcome based on an intention-to-treat analysis.
The Research Ethics Review Committee of Chulalongkorn University (COA No 178/66) and the Medical Ethics Committee of Yunnan Provincial Hospital of Traditional Chinese Medicine (IRB-AF-027-2022/02-02) approved the study protocol. Written informed consent will be obtained from all participants. Results will be published in peer-reviewed journals and disseminated through conferences.
ChiCTR2300070648.
Surgery is a high risk factor for the occurrence of pressure injury (PI). On the basis of theoretical research, pressure and duration of pressure are key factors affecting PI. Pressure is affected by the individual pressure redistribution capacity. So our study aims to explore how the surgery time and pressure intensity affect the occurrence of PI and what are the risk factors. A prospective study. A total of 250 patients who underwent elective surgery in a grade-A general hospital from November 2021 to February 2023 were selected and divided into a group of 77 patients with IAPI (intraoperatively acquired pressure injury) and a group of 173 patients with no IAPI. Visual pressure inductive feedback system and body composition analysis technology were used to record the local pressure value and change of patients before and after anaesthesia. Relevant data of the patients were collected to explore the influencing factors. The maximum pressure and average pressure at the pressure site of the same patient changed before and after anaesthesia, and the pressure after anaesthesia was significantly higher than that before anaesthesia. There was no statistical difference in the average pressure after anaesthesia (p > 0.05), but the maximum pressure in the IAPI group was higher than that in the non-occurrence group (p < 0.05). The average pressure multiplied by the operation time in IAPI group is significantly higher than that in the non-IAPI group (p < 0.01). Multiple linear regression analysis (stepwise regression) showed that fat-free weight, age, waist circumference, body mass index (BMI) and gender were taken as independent variables into the regression model, affecting the maximum pressure. In addition, operation time ≥4 h may be a high risk factor for IAPI. In future studies, more objective research tools can be applied to improve the accuracy of predicting the risk of IAPI. In addition to gender and BMI, follow-up studies may consider including measures such as waist circumference and fat-free body weight in IAPI risk assessment to guide the clinical nursing work more scientifically.
The triglyceride glucose (TyG) index has been confirmed a predictive value for type 2 diabetes mellitus (T2DM). However, no research has yet confirmed whether there is a linear correlation between the TyG index and MACCEs in DFUs. The present study aimed to delve into the association between the TyG index and the risk of MACCEs in patients with DFUs. A total of 960 inpatients with DFUs were recruited. All participants were followed up every 6 months for 11 years with a median of 83 months. According to the cut-off value of the TyG index acquired from receiver operating characteristic (ROC) analysis, the subjects were divided into two groups: low-level (<9.12, n = 480) and high-level (≥9.12, n = 480). The relationship between the TyG index and MACCEs was evaluated by the multivariable Cox regression model, restricted cubic spline (RCS) model, stratified analysis and the Kaplan–Meier survival analysis. Out of 960 participants, 271 experienced MACCEs (28.22%), of whom 79 (29.15%) died. ROC analysis got the optimal TyG index cut-off value of 9.12. Multivariable Cox regression analysis combined with the RCS model showed that the TyG index was positively associated with MACCEs in an S-shaped non-linear dose-dependent manner within the range of TyG index 7.5–9.5 (p < 0.001). The Kaplan–Meier survival analysis indicated the higher the TyG index, the greater the cumulative incidence of MACCEs (log-rank, p < 0.001). The study first confirmed an S-shaped non-linear dose-dependent positive relationship between the TyG index and the risk of MACCEs in DFUs. Consequently, lowering the TyG index level aids in improving the prognosis of patients with DFUs.
This comparative cross-sectional study, conducted at Shanghai Pulmonary Hospital, aimed to evaluate the efficacy of tailored wound-centric interventions (TWCI) versus traditional pulmonary rehabilitation (TPR) in enhancing wound healing in patients with chronic obstructive pulmonary disease (COPD). Enrolling 340 patients with confirmed COPD, the study randomly assigned participants to either the TWCI or TPR group for a 12-week programme. The primary outcome measured was the rate of wound healing, with secondary outcomes including changes in pulmonary function tests (PFTs) and quality of life (QoL) scores. The TWCI group received a customized programme integrating standard pulmonary rehabilitation with specific wound care strategies, such as enhanced oxygen therapy, nutritional supplementation, and infection control measures. In contrast, the TPR group underwent a conventional pulmonary rehabilitation programme without targeted wound care interventions. Wound healing rates, PFTs, and QoL scores were assessed at the end of the intervention and 3 months post-intervention. The TWCI group demonstrated a statistically significant improvement in wound healing rates compared with the TPR group. The TWCI group had a 15% higher rate of reduction in wound size, a 10% rise in complete healing rates, and a 20% drop in infection rates (p < 0.05). Specifically, TWCI group exhibited higher rates of wound size reduction, complete healing, and decreased infection rates. Additionally, long-term pulmonary function and overall quality of life improvements were more pronounced in the tailored group, underscoring the benefits of a personalized approach to managing COPD and wound care. The study concluded that integrating wound-specific care strategies with pulmonary rehabilitation significantly enhances health outcomes in COPD patients with wounds. These findings supported the adoption of customized, multidisciplinary care plans, suggesting that tailored interventions can offer a comprehensive solution to the complex needs of COPD patients, potentially redefining best practices in chronic disease management.
To understand the status quo of multiprofessional and multidisciplinary collaboration for early mobilization of mechanically ventilated patients in Chinese ICUs and identify any factors that may influence this practice.
A multi-centre cross-sectional survey.
From October to November 2022, the convenience sampling method was used to select ICU multiprofessional and multidisciplinary early mobility members (including physicians, nurses and physiotherapists) from 27 tertiary general hospitals in 14 provinces, cities and autonomous regions of China. They were asked to complete an author-developed questionnaire on the status of collaboration and the Assessment of Inter-professional Team Collaboration Scale. A multiple linear regression model was used to analyse the factors associated with the level of collaboration.
Physicians, nurses and physiotherapists mostly suffered from the lack of normative protocols, unclear division of responsibilities and unclear multiprofessional and multidisciplinary teams when using a collaborative approach to early activities. Multiple linear regression analysis showed that the number of ICU patients managed, the existence of norms and processes, the attitude of colleagues around them, the establishment of a team, communication methods and activity leaders were significant influences on the level of collaboration among members of the multiprofessional and multidisciplinary early activities.
The collaboration of multiprofessional and multidisciplinary early activity members for mechanically ventilated patients in the ICU remains unclear, and the collaboration strategy needs to be constructed and improved, taking into account China's human resources and each region's economic development level.
This study investigates the collaboration status of multiprofessional and multidisciplinary activity members from the perspective of teamwork, analyses the reasons affecting the level of collaboration and helps to develop better teamwork strategies to facilitate the implementation of early activities.
The participants in this study were multiprofessional and multidisciplinary medical staff who performed early activities for ICU patients.
Early identification and intervention of the frailty of the elderly will help lighten the burden of social medical care and improve the quality of life of the elderly. Therefore, we used machine learning (ML) algorithm to develop models to predict frailty risk in the elderly.
A prospective cohort study.
We collected data on 6997 elderly people from Chinese Longitudinal Healthy Longevity Study wave 6–7 surveys (2011–2012, 2014). After the baseline survey in 1998 (wave 1), the project conducted follow-up surveys (wave 2–8) in 2000–2018. The osteoporotic fractures index was used to assess frailty. Four ML algorithms (random forest [RF], support vector machine, XGBoost and logistic regression [LR]) were used to develop models to identify the risk factors of frailty and predict the risk of frailty. Different ML models were used for the prediction of frailty risk in the elderly and frailty risk was trained on a cohort of 4385 elderly people with frailty (split into a training cohort [75%] and internal validation cohort [25%]). The best-performing model for each study outcome was tested in an external validation cohort of 6997 elderly people with frailty pooled from the surveys (wave 6–7). Model performance was assessed by receiver operating curve and F2-score.
Among the four ML models, the F2-score values were similar (0.91 vs. 0.91 vs. 0.88 vs. 0.90), and the area under the curve (AUC) values of RF model was the highest (0.75), followed by LR model (0.74). In the final two models, the AUC values of RF and LR model were similar (0.77 vs. 0.76) and their accuracy was identical (87.4% vs. 87.4%).
Our study developed a preliminary prediction model based on two different ML approaches to help predict frailty risk in the elderly.
The presented models from this study can be used to inform healthcare providers to predict the frailty probability among older adults and maybe help guide the development of effective frailty risk management interventions.
Detecting frailty at an early stage and implementing timely targeted interventions may help to improve the allocation of health care resources and to reduce frailty-related burden. Identifying risk factors for frailty could be beneficial to provide tailored and personalized care intervention for older adults to more accurately prevent or improve their frail conditions so as to improve their quality of life.
The study has adhered to STROBE guidelines.
No patient or public contribution.
by Longgang Zhao, Yuan Wang, Eric Mishio Bawa, Zichun Meng, Jingkai Wei, Sarah Newman-Norlund, Tushar Trivedi, Hatice Hasturk, Roger D. Newman-Norlund, Julius Fridriksson, Anwar T. Merchant
BackgroundCognitive impairment has multiple risk factors spanning several domains, but few studies have evaluated risk factor clusters. We aimed to identify naturally occurring clusters of risk factors of poor cognition among middle-aged and older adults and evaluate associations between measures of cognition and these risk factor clusters.
MethodsWe used data from the National Health and Nutrition Examination Survey (NHANES) III (training dataset, n = 4074) and the NHANES 2011–2014 (validation dataset, n = 2510). Risk factors were selected based on the literature. We used both traditional logistic models and support vector machine methods to construct a composite score of risk factor clusters. We evaluated associations between the risk score and cognitive performance using the logistic model by estimating odds ratios (OR) and 95% confidence intervals (CI).
ResultsUsing the training dataset, we developed a composite risk score that predicted undiagnosed cognitive decline based on ten selected predictive risk factors including age, waist circumference, healthy eating index, race, education, income, physical activity, diabetes, hypercholesterolemia, and annual visit to dentist. The risk score was significantly associated with poor cognitive performance both in the training dataset (OR Tertile 3 verse tertile 1 = 8.15, 95% CI: 5.36–12.4) and validation dataset (OR Tertile 3 verse tertile 1 = 4.31, 95% CI: 2.62–7.08). The area under the receiver operating characteristics curve for the predictive model was 0.74 and 0.77 for crude model and model adjusted for age, sex, and race.
ConclusionThe model based on selected risk factors may be used to identify high risk individuals with cognitive impairment.
by Weiyong Chen, Qiaoqin Ma, Xiaohong Pan, Lin Chen, Hui Wang, Xin Zhou, Tingting Jiang, Wanjun Chen
ObjectivesThe characteristics of men who have sex with men (either exclusively or with both men and women; MSM) who engaged in casual sex among Chinese male university students have not been compared with the characteristics of men who have sex with only women (MSW). This information is important for tailoring targeted behavioral interventions to prevent human immunodeficiency virus (HIV)/sexually transmitted infection (STI) transmission in this subgroup of MSM.
MethodsData were derived from a large cross-sectional electronic questionnaire survey conducted at 13 universities in Zhejiang Province, China, in 2018. Bivariate analyses were used to compare demographic, HIV-related psychosocial, and behavioral characteristics between MSM and MSW students who engaged in casual sex during the previous year. Proportion differences between the two groups and their 95% confidence intervals were analyzed.
ResultsAmong the 583 sexually active male students who engaged in casual sex during the previous year, 128 and 455 were MSM and MSW, respectively. Compared with MSW students, larger proportions of MSM students reported knowing that male-to-male sexual behavior was the main mode of HIV transmission among Chinese students (62.5% vs. 45.5%), consenting to commercial sex (67.2% vs. 53.4%), wanting to know the HIV serostatus of partners before casual sex (65.8% vs. 51.3%), feeling at risk of HIV infection (40.5% vs. 11.8%), high condom-decision scale scores (55.3% vs. 42.6%), engaging in sex with ≥ 5 casual sex partners (44.6% vs. 25.9%), searching for casual partners online (89.2% vs. 51.3%), consuming alcohol before casual sex (64.8% vs. 45.0%), engaging in sex with regular partners (83.1% vs. 67.0%), engaging in commercial sex (54.2% vs. 26.4%), and visiting a clinic for voluntary counselling and testing (VCT) (16.4% vs. 8.4%). However, compared with MSW students, smaller proportions of MSM students reported knowing that consistent condom use could prevent HIV transmission (80.5% vs. 95.2%) and that VCT should be actively sought after risky sexual behavior (78.9% vs. 93.8%), using condoms sometimes/often (26.4% vs. 44.3%), and consistently using condoms (28.9% vs. 40.1%) while engaging in sex with casual partners.
ConclusionsMSM students who engaged in casual sex were at a greater risk of HIV/STI transmission, compared with MSW students. Comprehensive interventions to address the risks of unprotected male-to-male sex, searching for casual sex partners online, and non-use of HIV testing services are needed to reduce the burden of HIV/STI transmission among this subgroup of MSM.
by YanXiao Zhao, Basyarah Hamat, Tao Wang, SongEn Wang, Leah Ling Li Pang
AimsIn order to explore new consumer demands for Chinese tea set products, propose an innovative tea set product design and evaluation method to improve the user experience and satisfaction of the produced tea sets, thereby promoting the development of the tea set market and the promotion of tea culture.
MethodsFirstly, grounded theory (GT) was used to analyze interview data to extract consumer demand indicators and construct a design evaluation hierarchical model. Secondly, the Analytical Hierarchy Process (AHP) was used to calculate the weights of the indicators, determine their priority of importance, and obtain several indicators that have a greater impact on the tea set design to guide innovative design practice. Lastly, the tea set design schemes were evaluated using the fuzzy comprehensive evaluation method to select the optimal design scheme and also to act as a guideline for further design optimization.
ConclusionThis study explores the innovative design and evaluation method for tea set products based on GT-AHP-FCE and validates the feasibility of this approach through a practical example of tea set design inspired by “The Classic of Mountains and Seas.”. It provides innovative theoretical and practical guidance for designers of subsequent tea set products and also provides a new path for the inheritance and innovation of traditional culture.
To investigate the relationship between the triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio and all-cause and cardiovascular (CV) mortality in Chinese haemodialysis (HD) patients.
Retrospective cohort study.
Patients from June 2015 to September 2016 and followed through September 2021 were categorised into quartiles according to the follow-up averaged TG/HDL-C ratio. The association between TG/HDL-C and mortality was examined by univariate and multivariate time-varying Cox regression analyses. The C-index was used to assess the predictive accuracy of the Cox regression models.
A total of 534 maintenance HD patients were enrolled.
The outcomes were all-cause death and CV mortality.
During the median follow-up of 61 months, 207 patients died, with 94 (45.4%) classified as CV death. After adjusting for confounders, multivariate time-varying Cox regression analysis showed that the quartile 4 group (TG/HDL-C ≥2.64) was associated with decreased all-cause mortality (adjusted HR 0.51, 95% CI 0.33–0.77, p=0.001) and CV mortality (adjusted HR 0.31; 95% CI 0.16 to 0.62; p=0.001) in maintenance HD patients. Model 1 of all-cause mortality achieved a C-index of 0.72 (95% CI 0.68 to 0.75), and model 2 achieved a C-index of 0.77 (95% CI 0.73 to 0.82). The C-index for model 1 in CV mortality was 0.74 (95% CI 0.70 to 0.77), and the C-index for model 2 was 0.80 (95% CI 0.75 to 0.84).
High TG/HDL-C was associated with decreased all-cause and CV mortality in HD patients.
Non-healing wounds are one of the chronic complications of diabetes and have remained a worldwide challenge as one of the major health problems. Hyperbaric oxygen (HBO) therapy is proven to be very successful for diabetic wound treatment, for which the molecular basis is not understood. Adipocytes regulate multiple aspects of repair and may be therapeutic for inflammatory diseases and defective wound healing associated with aging and diabetes. Endothelial cell-derived extracellular vesicles could promote wound healing in diabetes. To study the mechanism by which HBO promotes wound healing in diabetes, we investigated the effect of HBO on fat cells in diabetic mice. A diabetic wound mouse model was established and treated with HBO. Haematoxylin and eosin (H&E) staining and immunofluorescence were used for the analysis of wound healing. To further explore the mechanism, we performed whole-genome sequencing on extracellular vesicles (EVs). Furthermore, we conducted in vitro experiments. Specifically, exosomes were collected from human umbilical vein endothelial cell (HUVEC) cells after HBO treatment, and then these exosomes were co-incubated with adipose tissue. The wound healing rate in diabetic mice treated with HBO was significantly higher. HBO therapy promotes the proliferation of adipose precursor cells. HUVEC-derived exosomes treated with HBO significantly promoted fat cell browning. These data clarify that HBO therapy may promote vascular endothelial cell proliferation and migration, and promote browning of fat cells through vascular endothelial cells derived exosomes, thereby promoting diabetic wound healing. This provides new ideas for the application of HBO therapy in the treatment of diabetic trauma.
Drivers for remission, relapse and violence-related behaviour among patients with schizophrenia are the most complicated issue.
This study aims to recruit a longitudinal cohort of patients with schizophrenia. Two suburban districts and two urban districts were randomly selected according to health service facilities, population, geographical region and socioeconomic status. Individuals (>18 years old) who received a diagnosis of schizophrenia following the International Classification of Diseases (10th edition) criteria within the past 3 years will be invited as participants. Assessments will be carried out in local community health centres. Data will be used to (1) establish a community-based schizophrenia cohort and biobank, (2) prospectively determine the course of multidimensional functional outcomes of patients with schizophrenia who are receiving community-based mental health treatment, and (3) map the trajectories of patients with schizophrenia and prospectively determine the course of multidimensional outcomes based on the differential impact of potentially modifiable moderators.
The study has been reviewed and approved by the Human Research Ethics Committee of Shanghai Mental Health Center (2021-67). Results of the study will be disseminated through peer-reviewed journals. If effective, related educational materials will be released to the public.
Little study has reported the association of maternal weight gain in early pregnancy with fetal congenital heart disease (CHD). We aimed to explore the potential relationship based on a China birth cohort while adjusting by multiple factors.
Cohort study.
China birth cohort study conducted from 2017 to 2021.
The study finally included 114 672 singleton pregnancies in the 6–14 weeks of gestation, without missing data or outliers, loss to follow-up or abnormal conditions other than CHD. The proportion of CHD was 0.65% (749 cases).
Association between maternal pre-pregnancy weight gain and CHD in the offspring were analysed by multivariate logistic regression, with the unadjusted, minimally adjusted and maximally adjusted methods, respectively.
The first-trimester weight gain showed similar discrimination of fetal CHD to that period of maternal body mass index (BMI) change (DeLong tests: p=0.091). Compared with weight gain in the lowest quartile (the weight gain less than 0.0 kg), the highest quartile (over 2.0 kg) was associated with a higher risk of fetal CHD in unadjusted (OR 1.36, 95% CI: 1.08 to 1.72), minimally adjusted (adjusted OR (aOR) 1.29, 95% CI: 1.02 to 1.62) and maximally adjusted (aOR 1.29, 95% CI: 1.02 to 1.63) models. The association remains robust in pregnant women with morning sickness, normal pre-pregnancy BMI, moderate physical activity, college/university level, natural conception or with folic acid (FA) and/or multivitamin supplementation.
Although the association of maternal pre-pregnancy weight gain on fetal CHD is weak, the excessive weight gain may be a potential predictor of CHD in the offspring, especially in those with morning sickness and other conditions that are routine in the cohort, such as normal pre-pregnancy BMI, moderate physical activity, college/university level, natural conception or with FA and/or multivitamin supplementation.
The elimination of mother-to-child transmission (MTCT) of syphilis has been set as a public health priority. However, an instrument to predict the MTCT of syphilis is not available. We aimed to develop and validate an intuitive nomogram to predict the individualised risk of MTCT in pregnant women with syphilis in China.
Retrospective cohort study.
Data was acquired from the National Information System of Prevention of MTCT of Syphilis in Guangdong province between 2011 and 2020.
A total of 13 860 pregnant women with syphilis and their infants were included and randomised 7:3 into the derivation cohort (n=9702) and validation cohort (n=4158).
Congenital syphilis.
Among 13 860 pregnant women with syphilis and their infants included, 1370 infants were diagnosed with congenital syphilis. Least absolute shrinkage and selection operator regression and multivariable logistic regression showed that age, ethnicity, registered residence, marital status, number of pregnancies, transmission route, the timing of syphilis diagnosis, stage of syphilis, time from first antenatal care to syphilis diagnosis and toluidine red unheated serum test titre were predictors of MTCT of syphilis. A nomogram was developed based on the predictors, which demonstrated good calibration and discrimination with an area under the curve of the receiver operating characteristic of 0.741 (95% CI: 0.728 to 0.755) and 0.731 (95% CI: 0.710 to 0.752) for the derivation and validation cohorts, respectively. The net benefit of the predictive models was positive, demonstrating a significant potential for clinical decision-making. We have also developed a web calculator based on this prediction model.
Our nomogram exhibited good performance in predicting individualised risk for MTCT of syphilis, which may help guide early and personalised prevention for MTCT of syphilis.
FreshRSS 