Blastocystis is a common unicellular intestinal protozoa in humans and animals, and the most common clinical manifestations of infections include abdominal pain and diarrhea. Based on the sequence of the small-subunit ribosomal RNA (SSU rRNA) gene, 28 subtypes of B. hominis (ST1 to ST17, ST21 and ST23 to ST32) have been characterized. Previous studies have demonstrated that B. hominis infection is strongly associated with inflammatory bowel disease (IBD), irritable bowel syndrome (IBS) and other intestinal diseases, which threatens the health and quality of life among patients with B. hominis infection and is considered as an important public health problem. This review summarizes the progress of researches on B. hominis infection among IBD and IBS patients during the past 20 years, so as to provide insights into management of blastocystosis in China.
Animals ; Humans ; Irritable Bowel Syndrome/parasitology* ; Blastocystis Infections/complications* ; Quality of Life ; Blastocystis hominis/genetics* ; Feces/parasitology* ; Inflammatory Bowel Diseases/parasitology*

RESEARCH QUESTION: What are the levels of patient-perceived and self-assessed physician empathy among internal medicine (IM) residents in two tertiary hospitals in Pasig City? Is there a significant difference in patient-perceived and selfassessed physician empathy levels between public and private tertiary hospitals? Background: Empathy is important because it has been speculated to have a positive effect on patient outcomes; it is a skill that can be learned and developed. OBJECTIVES: This study obtained quantitative measurements of patient-perceived and self-assessed physician empathy. Empathy levels between public and private tertiary hospitals were compared. GENERAL STUDY DESIGN : This study utilized a quantitative cross-sectional design, with surveys as the strategy for data collection. PARTICIPANTS: 162 out-patient department patients aged 19-75, and 69 IM residents were sampled from one private and one public tertiary hospital. OUTCOME MEASURES: The Jefferson Scale of Patient Perceptions of Physician Empathy (JSPPPE) and the Jefferson Scale of Physician Empathy (JSE) were used to measure the empathy levels. ANALYSIS: Sample size calculation was done using OpenEpi. An alpha level of 0.05 was used for computing the independent samples t-test. RESULTS: Internal Medicine patients from the private hospital rated the physicians with higher empathy scores (mean=31.23) compared to their public hospital counterparts (mean=29.01), which is statistically significant (p=.0134). Residents from the private hospital also scored a higher self-assessed empathy score (mean=110.46) compared to physicians from the public hospital (mean=102.13), which is also statistically significant (p=.0147). CONCLUSION: This study provided preliminary information on the empathy levels of physicians in the Philippine setting between private and public hospitals, showing that physician empathy levels are consistently higher in the private hospital facility. The results can help hospitals incorporate or improve training in empathy in internal medicine residency programs, as empathy is known to affect patient health outcomes.
Patient Care

During the Coronavirus Disease 2019 (COVID-19) pandemic, practices of gastrointestinal procedures within the digestive tract require special precautions due to the risk of contraction of severe acute respiratoy syndrome coronavirus-2 (SARS-CoV-2) infection. Many procedures in the gastrointestinal motility laboratory may be considered moderate to high-risk for viral transmission. Healthcare staff working in gastrointestinal motility laboratories are frequently exposed to splashes, air droplets, mucus, or saliva during the procedures. Moreover, some are aerosol-generating and thus have a high risk of viral transmission. There are multiple guidelines on the practices of gastrointestinal endoscopy during this pandemic. However, such guidelines are still lacking and urgently needed for the practice of gastrointestinal motility laboratories. Hence, the Asian Neurogastroenterology and Motility Association had organized a group of gastrointestinal motility experts and infectious disease specialists to produce a position statement paper based-on current available evidence and consensus opinion with aims to provide a clear guidance on the practices of gastrointestinal motility laboratories during the COVID-19 pandemic. This guideline covers a wide range of topics on gastrointestinal motility activities from scheduling a motility test, the precautions at different steps of the procedure to disinfection for the safety and well-being of the patients and the healthcare workers. These practices may vary in different countries depending on the stages of the pandemic, local or institutional policy, and the availability of healthcare resources. This guideline is useful when the transmission rate of SARS-CoV-2 is high. It may change rapidly depending on the situation of the epidemic and when new evidence becomes available.

Large cohort study gained its popularity in biomedical research and demonstrated its application in exploring disease etiology and pathogenesis, improving the prognosis of disease, as well as reducing the burden of diseases. Data science is an interdisciplinary field that uses scientific methods from computer science and statistics to extract insights or knowledge from data in a specific domain. The results from the combination of the two would provide new evidence for developing the strategies and measures on disease prevention and control. This review included a brief introduction of data science, descriptions on characteristics of large cohort data according to the development of the study design, and application of data science at each stage of a large cohort study, as well as prospected the application of data science in the future large cohort studies.
Cohort Studies ; Data Science ; Interdisciplinary Studies

Precision medicine became the key strategy in development priority of science and technology in China. The large population-based cohorts become valuable resources in preventing and treating major diseases in the population, which can contribute scientific evidence for personalized treatment and precise prevention. The fundamental question of the achievements above, therefore, is how to construct a large population-based cohort in a standardized way. The Chinese Preventive Medicine Association co-ordinated experienced researchers from Peking University and other well-known institutes to write up two group standards Technical specification of data processing for large population-based cohort study (T/CPMA 001-2018) and Technical specification of data security for large population-based cohort study (T/CPMA 002-2018), on data management. The standards are drafted with principles of emphasizing their scientific, normative, feasible, and generalizable nature. In these two standards, the key principles are proposed, and technical specifications are recommended in data standardization, cleansing, quality control, data integration, data privacy protection, and database security and stability management in large cohort studies. The standards aim to guide the large population-based cohorts that have been or intended to be established in China, including national cohorts, regional population cohorts, and special population cohorts, hence, to improve domestic scientific research level and the international influence, and to support decision-making and practice of disease prevention and control.
China ; Cohort Studies ; Delivery of Health Care ; Humans ; Population Surveillance ; Quality Control ; Reference Standards

Objective: To describe the genetic structure of populations in different areas of China, and explore the effects of different strategies to control the confounding factors of the genetic structure in cohort studies. Methods: By using the genome-wide association study (GWAS) on data of 4 500 samples from 10 areas of the China Kadoorie Biobank (CKB), we performed principal components analysis to extract the first and second principal components of the samples for the component two-dimensional diagram generation, and then compared them with the source of sample area to analyze the characteristics of genetic structure of the samples from different areas of China. Based on the CKB cohort data, a simulation data set with cluster sample characteristics such as genetic structure differences and extensive kinship was generated; and the effects of different analysis strategies including traditional analysis scheme and mixed linear model on the inflation factor (λ) were evaluated. Results: There were significant genetic structure differences in different areas of China. Distribution of the principal components of the population genetic structure was basically consistent with the geographical distribution of the project area. The first principal component corresponds to the latitude of different areas, and the second principal component corresponds to the longitude of different areas. The generated simulation data showed high false positive rate (λ=1.16), even if the principal components of the genetic structure was adjusted or the area specific subgroup analysis was performed, λ could not be effectively controlled (λ>1.05); while, by using a mixed linear model adjusting for the kinship matrix, λ was effectively controlled regardless of whether the genetic structure principal component was further adjusted (λ=0.99). Conclusions: There were large differences in genetic structure among populations in different areas of China. In molecular epidemiology studies, bias caused by population genetic structure needs to be carefully treated. For large cohort data with complex genetic structure and extensive kinship, it is necessary to use a mixed linear model for association analysis.
China ; Genetic Structures ; Genome-Wide Association Study ; Humans ; Linear Models ; Principal Component Analysis

Objective: To evaluate the association of educational level with anthropometric measurements at different adult stages and their long-term changes in adults who participated in the second re-survey of China Kadoorie Biobank (CKB). Methods: The present study excluded participants who were aged >65 years, with incomplete or extreme measurement values, or with major chronic diseases at baseline survey or re-survey. The weight at age 25 years was self-reported. Body height, body weight and waist circumference at baseline survey (2004-2008) and re-survey (2013-2014) were analyzed. Results: The present study included 3 427 men and 6 320 women. Both body weight and waist circumference (WC) increased with age. From age 25 years to baseline survey (mean age 45.2±6.5), the mean weight change per 5-year was (1.70±2.63) kg for men and (1.27±2.10) kg for women. From baseline survey to re-survey (53.2±6.5), the mean changes per 5-year for body weight were (1.12±2.61) kg for men and (0.90±2.54) kg for women; and that for WC was (3.20±3.79) cm for men and (3.83±3.85) cm for women. Among women, low educational level was consistently associated with higher body mass index (BMI) and WC at age 25 years, baseline survey and re-survey. Among men, low educational level was associated with higher BMI at age 25 years. At baseline survey and re-survey, the educational level in men was not statistically associated with BMI; but men who completed junior or senior high school showed slight higher WC and increase of WC from baseline survey to re-survey than other male participants. Conclusions: Body weight and WC increased with age for both men and women. The associations of educational level with BMI and WC were different between men and women.
Adult ; Asian People/statistics & numerical data* ; Body Height ; Body Mass Index ; Body Weight ; China/epidemiology* ; Educational Status ; Female ; Humans ; Male ; Middle Aged ; Obesity/ethnology* ; Risk Factors ; Sex Distribution ; Waist Circumference/ethnology*

Objective: To examine the prevalence of 'healthy lifestyle' from data extracted from the China Kadoorie Biobank (CKB) of 0.5 million adults from ten areas across China. Methods: After excluding participants with self-reported histories of coronary heart disease, stroke or cancer, a total of 487 198 participants at baseline (2004-2008) and 22 604 participants at second survey (2013- 2014), were included for analysis. 'Healthy lifestyle' was defined as haing the following characteristics: a) never smoking or having stopped smoking for reasons other than illness; b) alcohol drinking <25 g/day (men)/<15 g/day (women); c) diet rich in vegetables, fruits, legumes and fish, but low in red meat; d) upper quarter of the physical activity level; e) body mass index of 18.5-23.9 kg/m(2) and waist circumstance <85 cm (men)/80 cm (women). We calculated the healthy lifestyle scores (HLS) by counting the number of all the healthy lifestyle factors, with a range from 0 to 6. Results: At baseline, prevalence rates of the above five healthy lifestyles (except physical activity) were 70.6%, 92.6%, 8.7%, 52.6% and 59.0%, respectively, with the mean HLS being 3.1±1.2. Most participants (81.4%) had2-4 healthy components, while only 0.7% (0.2% in men and 1.0% in women) of all the participants had all six healthy lifestyles. Participants who were women, at younger age, with more schooling and rural residents, were more likely to adhere to the healthy lifestyle. After ten years, the mean HLS showed a slight decrease. Conclusion: The prevalence of optimal lifestyles in Chinese adults appeared extremely low. Levels of 'healthy lifestyle' varied greatly among those populations with different socio-demographic characteristics across the ten areas in China.
Adult ; Asian People/statistics & numerical data* ; China ; Female ; Healthy Lifestyle ; Humans ; Life Style ; Male ; Prevalence ; Risk Factors

Background: A rise in the number of immunocompromised patients has increased the risk of opportunistic fungal infections. Identifying novel sources of antifungal agents from commonly discarded materials (i.e. potato peelings) can provide a cheaper alternative for antifungal drugs.

Objectives: The aim of the study was to determine the antifungal activity of crude glycoalkaloid extract from Solanum tuberosum L. (white potato) peelings against opportunistic fungi Candida albicans, Candida glabrata, Aspergillus niger, Aspergillus fumigatus, and Aspergillus flavus.

Methods: The glycoalkaloid content from dried potato peelings were extracted using ethanol and confirmed using colorimetric tests.The extract had a concentration 833.33 microgram/mL. Determination of the minimum inhibitory concentrations (MICs) of the extract via two-fold broth dilution was performed for the five fungi with amphotericin B and fluconazole as the reference antifungal drugs.

Results: MICs of the crude extract for C. albicans, C. glabrata, A. fumigatus, and A. niger were not found within the concentration range of the studies and would thus need further experiments using a broader range of glycoalkaloid concentrations. The extract was found to have a MIC of 104.17microgram/mL for A. flavus, thereby verifying the antifungal effect of glycoalkaloid against A. flavus at said concentration.

Conclusion: Glycoalkaloids from Solanum tuberosum are a potential source of antifungals against certain opportunistic fungi.

Objective: To evaluate the association of family history with risk of major coronary events (MCE) and ischemic heart disease (IHD). Methods: After excluding participants with heart disease, stroke or cancer at baseline survey, a total of 485 784 participants from the China Kadoorie Biobank, who had no missing data on critical variables, were included in the analysis. Cox regression analysis was used to estimate the hazard ratios (HR) and 95% CI. Subgroup analyses were performed according to the baseline characteristics. Results: During a median of 7.2 years of follow-up, we documented 3 934 incident cases of MCE and 24 537 cases of IHD. In multivariable-adjusted models, family history was significantly associated with risk of MCE and IHD. The adjusted HRs (95%CI) were 1.41 (1.19-1.65) and 1.25 (1.18-1.33), respectively. History of disease among siblings was more strongly associated with early-onset MCE than parental history (HR=2.97, 95%CI: 1.80-4.88). Moreover, the association of family history with MCE and IHD was stronger in persons who were overweight or obesive, and the association between family history and MEC was stronger in smokers. Conclusion: This large-scale, prospective study indicated that family history was an independent risk factor for MCE and IHD in China. The intervention targeting major known lifestyle risk factors and the management of chronic diseases should be strengthened for Chinese population, especially for the individuals with family history were at high risk.
Asian People/statistics & numerical data* ; China/epidemiology* ; Coronary Disease/genetics* ; Humans ; Incidence ; Myocardial Ischemia/genetics* ; Overweight/ethnology* ; Proportional Hazards Models ; Prospective Studies ; Risk Assessment ; Risk Factors ; Smoking/ethnology*