Development and validation of reassigned CEA, CYFRA21-1 and NSE-based models for lung cancer diagnosis and prognosis prediction.

Background: The majority of lung cancer(LC) patients are diagnosed at advanced stage with a poor prognosis. However, there is still no ideal diagnostic and prognostic prediction model for lung cancer.

Methods: Data of CEA, CYFRA21-1 and NSE test of patients with LC and benign lung diseases (BLDs) or healthy people from Physical Examination Center was collected.

Correction: Age- and Sex-Specific Differences in Multimorbidity Patterns and Temporal Trends on Assessing Hospital Discharge Records in Southwest China: Network-Based Study.

[This corrects the article DOI: 10.2196/27146.].

Cohort Profile: The Shaanxi Blood Donor Cohort in China.

Purpose: The Shaanxi Blood Donor Cohort was set up to investigate the impact of blood donation on the health of donors compared with non-blood donors. The specific aims of the study include (1) identifying the geographical and temporal trends of incidence for diseases in both blood donors and non-blood donors; (2) assessing the impact of environmental exposures, lifestyle, body mass index (BMI) and blood type on disease burdens, stratified between blood donors and non-blood donors; and (3) among blood donors, investigating if regular blood donation has a positive impact on donors' health profiles, based on a cohort with a mixed retrospective and prospective study design.

Participants: A total of 3.

Association of ABO blood group with respiratory disease hospitalization and severe outcomes: a retrospective cohort study in blood donors.

Objectives: Environmental, socioeconomic, and genetic factors all are associated with respiratory diseases. We aimed to investigate the association between the ABO blood group and the susceptibility to respiratory diseases.

Methods: We constructed a retrospective cohort study of blood donors in Shaanxi, China between January 1, 2012, and December 31, 2018, to investigate the impacts of the ABO blood group on the risk of hospitalization due to respiratory diseases.

The status of scholarly efforts of librarians on health literacy: a bibliometric analysis.

Objective: In order to determine the status of scholarly efforts on health literacy by librarians, researchers examined the characteristics of health literacy publications authored by librarians from 2000 to 2020.

Methods: Bibliometric analysis was used to assess the indicators of productivity, affiliation, collaboration, and citation metrics of librarians in health literacy-related research. Data were collected using the Scopus database; articles were screened for inclusion before importation into Microsoft Excel for analysis.

Association Between Living Risk and Healthy Life Years Lost Due to Multimorbidity: Observations From the China Health and Retirement Longitudinal Study.

Background: Multimorbidity has an effect on life expectancy, while its effect on healthy life years is unclear. This study aims to investigate the associations between healthy life years lost due to multimorbidity and living risk.

Methods: The participants of The China Health and Retirement Longitudinal Study (CHARLS) were assessed at four visits between 2011 (baseline) and 2018.

Effects of low-FODMAP diet on irritable bowel symptoms in patients with quiescent inflammatory bowel disease: A protocol for a systematic review and meta-analysis.

Background: Inflammatory bowel disease (IBD) is a chronic disease whose etiology is not yet fully understood, and their course is characterized by periods of exacerbation and remission. In quite a few cases, actual disease remission may also accompany with inflammatory bowel disease (IBS)-like symptoms such as abdominal pain, bloating, flatulence, and diarrhea, may greatly impact quality of life. An army of strong evidence to support the FODMAPs diet (LFD) compounds as an effective dietary approach to IBS treatment.

Improving cervical cancer classification with imbalanced datasets combining taming transformers with T2T-ViT.

Unlabelled: Cervical cell classification has important clinical significance in cervical cancer screening at early stages. However, there are fewer public cervical cancer smear cell datasets, the weights of each classes' samples are unbalanced, the image quality is uneven, and the classification research results based on CNN tend to overfit. To solve the above problems, we propose a cervical cell image generation model based on taming transformers (CCG-taming transformers) to provide high-quality cervical cancer datasets with sufficient samples and balanced weights, we improve the encoder structure by introducing SE-block and MultiRes-block to improve the ability to extract information from cervical cancer cells images; we introduce Layer Normlization to standardize the data, which is convenient for the subsequent non-linear processing of the data by the ReLU activation function in feed forward; we also introduce SMOTE-Tomek Links to balance the source data set and the number of samples and weights of the images we use Tokens-to-Token Vision Transformers (T2T-ViT) combing transfer learning to classify the cervical cancer smear cell image dataset to improve the classification performance.

Long-term outcomes of children with neonatal transfer: the Japan Environment and Children's Study.

This study aimed to evaluate the association of neonatal transfer with the risk of neurodevelopmental outcomes at 3 years of age. Data were obtained from the Japan Environment and Children's Study. A general population of 103,060 pregnancies with 104,062 fetuses was enrolled in the study in 15 Regional Centers between January 2011 and March 2014.

Network analytics and machine learning for predicting length of stay in elderly patients with chronic diseases at point of admission.

Background: An aging population with a burden of chronic diseases puts increasing pressure on health care systems. Early prediction of the hospital length of stay (LOS) can be useful in optimizing the allocation of medical resources, and improving healthcare quality. However, the data available at the point of admission (PoA) are limited, making it difficult to forecast the LOS accurately.

Age- and Sex-Specific Differences in Multimorbidity Patterns and Temporal Trends on Assessing Hospital Discharge Records in Southwest China: Network-Based Study.

Background: Multimorbidity represents a global health challenge, which requires a more global understanding of multimorbidity patterns and trends. However, the majority of studies completed to date have often relied on self-reported conditions, and a simultaneous assessment of the entire spectrum of chronic disease co-occurrence, especially in developing regions, has not yet been performed.

Objective: We attempted to provide a multidimensional approach to understand the full spectrum of chronic disease co-occurrence among general inpatients in southwest China, in order to investigate multimorbidity patterns and temporal trends, and assess their age and sex differences.

Phenotypic Disease Network Analysis to Identify Comorbidity Patterns in Hospitalized Patients with Ischemic Heart Disease Using Large-Scale Administrative Data.

Ischemic heart disease (IHD) exhibits elevated comorbidity. However, few studies have systematically analyzed the comorbid status of IHD patients with respect to the entire spectrum of chronic diseases. This study applied network analysis to provide a complete picture of physical and mental comorbidities in hospitalized patients with IHD using large-scale administrative data.

Accurate Prediction of Stroke for Hypertensive Patients Based on Medical Big Data and Machine Learning Algorithms: Retrospective Study.

Background: Stroke risk assessment is an important means of primary prevention, but the applicability of existing stroke risk assessment scales in the Chinese population has always been controversial. A prospective study is a common method of medical research, but it is time-consuming and labor-intensive. Medical big data has been demonstrated to promote disease risk factor discovery and prognosis, attracting broad research interest.

Light pollution as a factor in breast and prostate cancer.

Light pollution is a global environmental issue that affects photosensitive organisms. For instance, several researchers have recognized melatonin suppression in humans as a direct cause of long-term exposure to high artificial light levels at night. Others have identified low melatonin levels as a risk factor for a higher prevalence of hormone-sensitive cancer.

Comorbidity patterns in depression: A disease network analysis using regional hospital discharge records.

Background: Depression is a psychiatric disorder with a high comorbidity burden; however, previous comorbidity studies predominately focused on a few common diseases and relied on self-reported data. We aimed to investigate the comorbid status of depression concerning the entire spectrum of chronic diseases using network analysis.

Method: Totally, 22,872 depressed inpatients and one-to-one matched controls were enrolled in the retrospective study.

Trading quality for quantity? Evidence from patient level data in China.

In China, overcrowding at hospitals increases the workload of medical staff, which may negatively impact the quality of medical services. This study empirically examined the impact of hospital admissions on the quality of healthcare services in Chinese hospitals. Specifically, we estimated the impact of the number of hospital admissions per day on a patient's length of stay (LOS) and hospital mortality rate using both ordinary least squares (OLS) and instrumental variable (IV) methods.

Gaseous air pollutants and hospitalizations for mental disorders in 17 Chinese cities: Association, morbidity burden and economic costs.

The short-term morbidity effects of gaseous air pollutants on mental disorders (MDs), and the corresponding morbidity and economic burdens have not been well studied. We aimed to explore the associations of ambient sulfur dioxide (SO), nitrogen dioxide (NO), ozone (O) and carbon monoxide (CO) with MDs hospitalizations in 17 Chinese cities during 2015-2018, and estimate the attributable risk and economic costs of MDs hospitalizations associated with gaseous pollutants. City-specific relationships between gaseous pollutants and MDs hospitalizations were evaluated using over-dispersed generalized additive models, then combined to obtain the pooled effect.

Feed safety collaborations: Experiences, progress and challenges.

Concerns were raised regarding the role feed and feed ingredients play for risk of disease introduction and dissemination after PEDV was first identified mid-2013. Subsequently there has been a body of research and reviews completed. The results suggest a subset of contaminated feed ingredients could serve as vehicles for transboundary disease introduction into the United States.

Analysis of prevalence and influencing factors of stroke in elderly hypertensive patients: Based on the screening plan for the high-risk population of stroke in Jiading District, Shanghai.

Background: The purpose of this study is to investigate and analyze the prevalence and influencing factors of stroke in hypertensive patients aged 60 and above in Jiading District, Shanghai.

Methods: The population-based study included 18,724 screened people with hypertension (age ≥ 60 years, 48.7% women).

Segmentation of dermoscopy images based on deformable 3D convolution and ResU-NeXt +.

Melanoma is one of the most dangerous skin cancers. The current melanoma segmentation is mainly based on FCNs (fully connected networks) and U-Net. Nevertheless, these two kinds of neural networks are prone to parameter redundancy, and the gradient of neural networks disappears that occurs when the neural network backpropagates as the neural network gets deeper, which will reduce the Jaccard index of the skin lesion image segmentation model.

Effect of healthcare system reforms on public hospitals' revenue structures: Evidence from Beijing, China.

To reduce the heavy reliance of public hospitals on drug sales and use of advanced technologies and to contain the escalating medical expenditures, Beijing implemented two rounds of comprehensive public hospital reform in 2017 and 2019, respectively. The first round focused on separating drug sales from hospital revenue (reform1), and the second round extended to include zero markup on medical consumables and price adjustments for medical services (reform2). To estimate how these two rounds of reform have affected public hospitals' revenue structures, we used observational data of medical revenues from 2016 to 2019 covering 354 healthcare facilities.