Multi-ethnic Asian Population Research Articles

Adiposity impacts cognitive function in Asian populations: an epidemiological and Mendelian Randomization study

Obesity and related metabolic disturbances including diabetes, hypertension and hyperlipidemia predict future cognitive decline. Asia has a high prevalence of both obesity and metabolic disease, potentially amplifying thefuture burden of dementia in the region. We aimed to investigate the impact of adiposity and metabolic risk oncognitive function in Asian populations, using an epidemiological analysis and a two-sample Mendelian Randomization (MR) study. The Health for Life in Singapore (HELIOS) Study is a population-based cohort of South-East-Asian men and women in Singapore, aged 30-84 years. We analyzed 8769 participants with metabolic and cognitive data collected between 2018 and 2021. Whole-body fat mass was quantified with Dual X-Ray Absorptiometry (DEXA). Cognition was assessed using a computerized cognitive battery. An index of general cognition ' g ' was derived through factor analysis. We tested the relationship of fat mass indices and metabolic measures with ' g ' using regression approaches. We then performed inverse-variance-weighted MR of adiposity and metabolic risk factors on ' g ', using summary statistics for genome-wide association studies of BMI, visceral adipose tissue (VAT), waist-hip-ratio (WHR), blood pressure, HDL cholesterol, triglycerides, fasting glucose, HbA1c, and general cognition. Participants were 58.9% female, and aged 51.4 (11.3) years. In univariate analysis, all 29 adiposity and metabolic measures assessed were associated with ' g ' at P<0.05. In multivariable analyses, reduced ' g ' was consistently associated with increased visceral fat mass index and lower HDL cholesterol (P<0.001), but not with blood pressure, triglycerides, or glycemic indices. The reduction in ' g ' associated with 1SD higher visceral fat, or 1SD lower HDL cholesterol, was equivalent to a 0.7 and 0.9-year increase in chronological age respectively (P<0.001). Inverse variance MR analyses showed that reduced ' g ' is associated with genetically determined elevation of VAT, BMI and WHR (all P<0.001). In contrast, MR did not support a causal role for blood pressure, lipid, or glycemic indices on cognition. We show an independent relationship between adiposity and cognition in a multi-ethnic Asian population. MR analyses suggest that both visceral adiposity and raised BMI are likely to be causally linked to cognition. Our findings have important implications for preservation of cognitive health, including further motivation for action to reverse the rising burden of obesity in the Asia-Pacific region. The Nanyang Technological University-the Lee Kong Chian School of Medicine, National Healthcare Group, National Medical Research Council, Ministry of Education, Singapore.

Barriers to and Facilitators of Adherence to Prescribed Home Exercise in Older Adults at Risk of Falling in Singapore: A Qualitative Study.

Adherence to prescribed exercise poses significant challenges for older adults despite proven benefits. The aim of this exploratory descriptive qualitative study was to explore the perceived barriers to and facilitators of prescribed home exercise adherence in community-dwelling adults 65 years and older. Three focus groups with 17 older adults (Mage ± SD = 77 ± 5.12) living in Singapore were conducted. Inductive thematic analysis revealed that "the level of motivation" of individuals constantly influenced their exercise adherence (core theme). The level of motivation appeared to be a fluid concept and changed due to interactions with two subthemes: (a)individual factors (exercise needs to be tailored to the individual) and (b)environmental factors (i.e.,support is essential). Hence, these factors must be considered when designing strategies to enhance exercise adherence in this vulnerable population. Strategies must be informed by the culturally unique context, in this case, a developed country with a multiethnic urban Asian population.

Real-world comparison of intracoronary imaging and fractional flow reserve measurements on outcomes of semi-urgent and elective percutaneous coronary intervention in a multi-ethnic asian population

Abstract Funding Acknowledgements Type of funding sources: None. Background Intracoronary imaging and fractional flow reserve measurements (FFR) are helpful in optimisation of percutaneous coronary intervention (PCI) for patients with stable coronary artery disease, but their comparative efficacy is not well described. Furthermore, few studies involve Asian patients in a real-world context. Purpose This study aims to compare the use of intracoronary imaging and fractional flow reserve measurements on the outcomes of semi-urgent and elective PCI in a multi-ethnic Asian population. Methods This was a retrospective database study of patients who underwent semi-urgent and elective PCI from 1st Jan 2014 to 31st Dec 2015 at a tertiary academic centre. The patients were split into 2 groups – imaging-guided (IG) consisting of intravascular ultrasound guided PCI or optical coherence tomography guided PCI and physiology-guided (PG) which included FFR-guided PCI. Patients who underwent both IG PCI and PG PCI were excluded. Incidence rates of major adverse cardiovascular events (MACE) (Subsequent myocardial infarction, congestive cardiac failure, all-cause mortality) and major adverse cardiovascular and cerebrovascular events (MACCE) (Subsequent myocardial infarction, congestive cardiac failure, stroke or transient ischemic attack and all-cause mortality) were compared between the two groups. One-to-one propensity score matching (PSM) was performed to control for potential bias. Results Of 1,732 patients studied, the median age was 61.0 years (IQR 53.0 to 68.0) and 336 were female (19.4%). There were 266 patients (15.4%) in IG and 186 (10.7%) in PG. The patients were followed up for 33 ±37 months. A total of 133 pairs were matched. In the unmatched cohort, there was no statistical difference between the IG and PG group in the incidence of MACE (24.2% vs 15.5%, p= 0.099) and MACCE (26.6% vs 17.7%, p= 0.112). Baseline and procedural characteristics were balanced between the IG and PG groups. In the matched cohort, the incidence rates of MACE (11.3% vs 7.5%, p= 0.383) and MACCE (15.8% vs 12.8%, p=0.596) did not differ significantly between the two groups. Conclusion In a real-world multi-ethnic Asian registry of semi-urgent and elective PCI patients, there was no difference in outcomes whether patients underwent the use of intracoronary imaging or fractional flow reserve measurements during PCI.

A Machine Learning Approach for Early Diagnosis of Cognitive Impairment Using Population-Based Data.

The major mechanisms of dementia and cognitive impairment are vascular and neurodegenerative processes. Early diagnosis of cognitive impairment can facilitate timely interventions to mitigate progression. This study aims to develop a reliable machine learning (ML) model using socio-demographics, vascular risk factors, and structural neuroimaging markers for early diagnosis of cognitive impairment in a multi-ethnic Asian population. The study consisted of 911 participants from the Epidemiology of Dementia in Singapore study (aged 60- 88 years, 49.6% male). Three ML classifiers, logistic regression, support vector machine, and gradient boosting machine, were developed. Prediction results of independent classifiers were combined in a final ensemble model. Model performances were evaluated on test data using F1 score and area under the receiver operating curve (AUC) methods. Post modelling, SHapely Additive exPlanation (SHAP) was applied on the prediction results to identify the predictors that contribute most to the cognitive impairment prediction. The final ensemble model achieved a F1 score and AUC of 0.87 and 0.80 respectively. Accuracy (0.83), sensitivity (0.86), specificity (0.74) and predictive values (positive 0.88 negative 0.72) of the ensemble model were higher compared to the independent classifiers. Age, ethnicity, highest education attainment and neuroimaging markers were identified as important predictors of cognitive impairment. This study demonstrates the feasibility of using ML tools to integrate multiple domains of data for reliable diagnosis of early cognitive impairment. The ML model uses easy-to-obtain variables and is scalable for screening individuals with a high risk of developing dementia in a population-based setting.

Association Between Domain-Specific Physical Activity and Cardiometabolic Factors in a Multiethnic Asian Population: A Longitudinal Study.

To examine the association between domain-specific physical activity (PA) and cardiometabolic factors with longitudinal data, which is limited in current literature. Participants who attended the Singapore Multi-Ethnic Cohort and follow-up surveys were included in this study (N = 3950, mean age: 44.7y, female: 57.9%). Self-reported moderate- to vigorous-intensity PA (MVPA) for each domain (leisure-time, transportation, occupation, and household) was categorized into 4 levels: no, low, middle, and high MVPA. The longitudinal associations of domain-specific MVPA with cardiometabolic factors including systolic and diastolic blood pressures, low-density and high-density lipoprotein cholesterols, triglycerides, and body mass index were examined using Generalized Estimating Equations, accounting for confounding factors and repeated measurements. There were 5.2% participants who had no MVPA. For each domain, this rate ranged from 22.6% (household) to 83.3% (occupation). Leisure-time and occupation MVPAs had positive and linear associations with high-density lipoprotein cholesterols, corresponding to 0.030 (95% confidence interval, 0.015 to 0.045) mmol/L (leisure-time) and 0.063 (95% confidence interval, 0.043 to 0.083) mmol/L (occupation), when compared high with no respective MVPA. Occupation and household MVPAs were associated with low-density lipoprotein cholesterol. Transportation and occupation exhibited a positive and linear relationship with diastolic blood pressure. None of the domains were associated with body mass index, systolic blood pressures, or triglycerides. This study showed that each domain had differential association with individual cardiometabolic risk factors. As occupation, transportation, or household PA had unfavorable associations with low-density lipoprotein cholesterol or diastolic blood pressure, the overall beneficial impact of higher PA levels may not necessarily hold in the context of domain-specific PA and cardiovascular health. Further investigation is needed to corroborate our findings.

Validation of the Hepamet fibrosis score in a multi-ethnic Asian population

Introduction and ObjectivesThe Hepamet fibrosis score was introduced for the diagnosis of advanced liver fibrosis in patients with non-alcoholic fatty liver disease (NAFLD). To date, external validation is limited, and its utility in combination with liver stiffness measurement (LSM) has not been explored. Material and MethodsThis is a cross-sectional study on NAFLD patients who had a liver biopsy and LSM on the same day. The diagnostic performance of the Hepamet fibrosis score was evaluated using the area under the receiver operating characteristic curve (AUROC). ResultsThe data for 196 patients were analyzed (mean age 50 ± 11 years old, 50% men, 56.6% Malay, 27.6% Chinese, 15.8% Indian, 67.9% NASH, 15.8% advanced liver fibrosis). The AUROC of Hepamet fibrosis score for the diagnosis of advanced liver fibrosis was 0.85 (95% CI, 0.80 – 0.91). Using the <0.12 and ≥0.47 cut-offs from the original study, the sensitivity, specificity, positive predictive value, negative predictive value, the proportion of indeterminate results and misclassification rate were 81.8%, 91.8%, 47.4%, 98.2%, 32.1% and 6.1%, respectively. Using LSM <10 kPa and ≥15 kPa for the diagnosis of absence and presence of advanced liver fibrosis, respectively, in patients with Hepamet fibrosis score ≥0.47 (i.e., the two-step approach) reduced indeterminate results and misclassification to 16.1% and 3.6%, respectively. ConclusionsWe found the Hepamet fibrosis score to have good diagnostic accuracy in a population that was largely unrepresented in earlier work and demonstrated its utility in a two-step approach with LSM for the diagnosis of advanced liver fibrosis.

Cost-effectiveness of selective bone densitometry using the osteoporosis self-assessment tool for Asians in multi-ethnic Asian population.

To determine the cost-effectiveness of selective bone densitometry (SBD) using the Osteoporosis Self-Assessment Tool for Asians (OSTA) as a risk-stratifying tool for the three predominant races (Chinese, Malay and Indian) in Singapore. Decision analytical models were developed using a Markov model. Three scenarios were compared: no bone densitometry, SBD using the OSTA as a pre-screening tool and universal bone densitometry. Those diagnosed with osteoporosis were treated with five years of alendronate therapy. Data sources were from Singapore epidemiological studies, healthcare cost figures and published literature. Measurements include life years, quality-adjusted life years (QALYs), costs and incremental cost-effectiveness ratios (ICER). Compared to no bone densitometry, SBD using the OSTA would cost between $40,679 and $73,909 per QALY gained for men aged 75-80 and $22,386 to $58,185 per QALY gained for post-menopausal women aged 70-80. Universal bone densitometry would cost $157,955 to $177,127 per QALY gained for men aged 75-80 and $40,179 to $66,112 per QALY gained for post-menopausal women aged 70 to 80 compared to SBD. In general, osteoporosis screening was the most cost-effective for Malays and the least cost-effective for Indians. However, a general guideline should still be applied to the Singaporean population, as further explained later. Overall, the most cost-effective strategy for males would be using OSTA as a risk-stratifying tool at age 75. For post-menopausal women, SBD should be used for women aged 70, while universal bone densitometry should be used for women aged 75-80.

In-hospital mortality risk stratification of Asian ACS patients with artificial intelligence algorithm.

Conventional risk score for predicting in-hospital mortality following Acute Coronary Syndrome (ACS) is not catered for Asian patients and requires different types of scoring algorithms for STEMI and NSTEMI patients. To derive a single algorithm using deep learning and machine learning for the prediction and identification of factors associated with in-hospital mortality in Asian patients with ACS and to compare performance to a conventional risk score. The Malaysian National Cardiovascular Disease Database (NCVD) registry, is a multi-ethnic, heterogeneous database spanning from 2006-2017. It was used for in-hospital mortality model development with 54 variables considered for patients with STEMI and Non-STEMI (NSTEMI). Mortality prediction was analyzed using feature selection methods with machine learning algorithms. Deep learning algorithm using features selected from machine learning was compared to Thrombolysis in Myocardial Infarction (TIMI) score. A total of 68528 patients were included in the analysis. Deep learning models constructed using all features and selected features from machine learning resulted in higher performance than machine learning and TIMI risk score (p < 0.0001 for all). The best model in this study is the combination of features selected from the SVM algorithm with a deep learning classifier. The DL (SVM selected var) algorithm demonstrated the highest predictive performance with the least number of predictors (14 predictors) for in-hospital prediction of STEMI patients (AUC = 0.96, 95% CI: 0.95-0.96). In NSTEMI in-hospital prediction, DL (RF selected var) (AUC = 0.96, 95% CI: 0.95-0.96, reported slightly higher AUC compared to DL (SVM selected var) (AUC = 0.95, 95% CI: 0.94-0.95). There was no significant difference between DL (SVM selected var) algorithm and DL (RF selected var) algorithm (p = 0.5). When compared to the DL (SVM selected var) model, the TIMI score underestimates patients' risk of mortality. TIMI risk score correctly identified 13.08% of the high-risk patient's non-survival vs 24.7% for the DL model and 4.65% vs 19.7% of the high-risk patient's non-survival for NSTEMI. Age, heart rate, Killip class, cardiac catheterization, oral hypoglycemia use and antiarrhythmic agent were found to be common predictors of in-hospital mortality across all ML feature selection models in this study. The final algorithm was converted into an online tool with a database for continuous data archiving for prospective validation. ACS patients were better classified using a combination of machine learning and deep learning in a multi-ethnic Asian population when compared to TIMI scoring. Machine learning enables the identification of distinct factors in individual Asian populations to improve mortality prediction. Continuous testing and validation will allow for better risk stratification in the future, potentially altering management and outcomes.

Handgrip Strength and Cognitive Performance in a Multiethnic Cohort in Singapore.

Handgrip strength (HGS) is an important marker of frailty but there is limited research on lifestyle and vascular determinants of HGS and its relationship with cognitive impairment. To identify determinants of HGS and the association of HGS with cognitive impairment in a multiethnic cohort from Singapore. This study (n = 2,109, median [Q1, Q3] age: 53 [48, 60] years, 59.6% women) was based on cross-sectional data from Singapore Multi-Ethnic Cohort. HGS was collected using hand-held Electronic Dynamometer. The potential determinants of HGS included age, sex, ethnicity, smoking, physical activity, serum cholesterol and history of hypertension, diabetes, and stroke. Cognition, assessed with the Mini-Mental State Examination (MMSE), was analyzed as both continuous and binary outcome (cognitively impaired [scores < 26] and cognitively normal [scores≥26]). In total, 239 (11.3%) participants were cognitively impaired. Older age, female sex, Malay or Indian compared with Chinese ethnicity, and diabetes history were associated with decreased HGS, whereas higher education, higher body mass index, and more physical activity were associated with higher HGS. Higher HGS was associated with higher MMSE scores (β: 0.34, 95% CI: 0.20, 0.49) and 37% lower odds of cognitive impairment (OR: 0.63, 95% CI: 0.49-0.82). These associations were significantly stronger in participants who were older (50-90 years), female, of Malay and Indian ethnicity (compared with Chinese), and less educated. In this multi-ethnic Asian population, demographics, vascular risk factors, and lifestyle behaviors were associated with HGS. Additionally, higher HGS was associated with substantially better cognitive function, which association was modified by age, sex, ethnicity, and education level.

Trends in reperfusion therapy for acute coronary syndrome in a multi-ethnic Asian population: Insight from the Malaysian National Cardiovascular Disease Database - Acute Coronary Syndrome (NCVD-ACS) registry

Reperfusion therapy has become a choice of treatment for myocardial infarction patients over these years. The appropriate reperfusion therapy at the right time could minimise the myocardial damage, and decrease mortality.

Determinants of Hardcore Smoking in a MULTI-ETHNIC Study of Cigarette Smokers in Singapore

ABSTRACT Smokers who are resistant to quitting are not well studied in Asia, particularly in multi-ethnic populations. We compared the characteristics of hardcore smokers in Singapore, a multi-ethnic Asian population, with other daily smokers, and investigated the role of ethnicity as an effect modifier on identified determinants, including cigarette flavor preferences, using cross-sectional data from Singapore Smokers’ Survey (n = 1,501). Multivariable logistic regression was used to assess the association. 22.8% of adult daily smokers were hardcore smokers. Novel findings on hardcore smokers’ preference for regular flavored cigarettes (AOR = 1.54; 95%CI: 1.14, 2.07) suggest there is room for interventions among hardcore smokers through regulation of cigarette flavors and nicotine content. Although ethnicity was not a significant factor, it was an effect modifier with peers’ disapproval of smoking (p-value for interaction = 0.024), significantly lowering odds of Malays being hardcore smokers (stratified odds ratio, AOR stratified, Malay = 0.35; CI: 0.17, 0.71), but not Chinese (AOR stratified, Chinese = 1.27; CI: 0.70, 2.42) and Indian smokers (AOR stratified, Indian = 0.62; CI: 0.18, 2.28), suggesting that smoking cessation policies utilizing social norm change strategies may be more effective when tailored to the differing roles of peer norms among different ethnic groups, in Singapore and other multi-ethnic Asian populations.

Transition Probabilities of Diabetic Kidney Disease (DKD) and Death in a Multi-Ethnic Asian Population

Transition Probabilities of Diabetic Kidney Disease (DKD) and Death in a Multi-Ethnic Asian Population

The validation of culturally appropriate scales to assess the family health climate in a multi-ethnic Asian population.

BackgroundThe Family Health Climate (FHC) is a family environment attribute postulated to influence the health behaviors of family members. It can be measured by domain scales for physical activity (FHC-PA) and nutrition (FHC-NU), which have been validated and used to identify health climate patterns in families in Western populations. To extend the use of the scales to Asian settings, this study aimed to adapt and validate the instruments for use in the multi-ethnic population of Singapore, accounting for language and cultural differences.MethodsIn Part A (n = 40) to adapt the scales for the Singapore population, we performed cognitive interviews, face validity testing and pre-testing of the instruments (n = 40). Besides English, the scales were translated into Chinese and Malay. In Part B (n = 400), we performed exploratory and confirmatory factor analyses respectively on two random samples. We also tested for item discriminant validity, internal consistency reliability, construct validity, and measurement invariance.ResultsThe findings from the cognitive interviews in Part A led to scale adaptations to accommodate cultural and linguistic factors. In Part B, EFA on Sample I resulted in a three-factor model for the PA scale (accounting for 71.2% variance) and a four-factor model for the NU scale (accounting for 72.8% variance). CFA on Sample II indicated acceptable model fits: FHC-PA: χ2 = 192.29, df = 101, p < 0.001, χ2/df = 1.90; SRMR = 0.049; RMSEA = 0.067; CFI = 0.969; TLI = 0.963; FHC-NU: χ2 = 170.46, df = 98, p < 0.001, χ2/df = 1.74; SRMR = 0.036; RMSEA = 0.061; CFI = 0.967; TLI = 0.960. The scores of family members demonstrated significant agreement on the FHC-PA (Sg) [ICC(2, 2) = 0.77] and FHC-NU (Sg) [ICC(2, 2) = 0.75] scales. Findings suggest good evidence for item discriminant validity, internal consistency reliability, construct validity, and measurement invariance. Short versions of the scales were also developed.ConclusionWe adapted, translated and validated the scales for assessing the health climate of families in Singapore, including the development of short versions. The results showed good psychometric properties and the constructs had significant relationships with health behaviors and routines. Improving our understanding of family influences on individual health behavior will be important in developing multi-level strategies for health promotion and chronic disease prevention.

Prevalence of perceived weight-based stigmatisation in a multiethnic Asian population

Dear Editor, People with obesity contend with obesity-related stigmas, in addition to health complications.1 In contrast to the West, literature documenting the prevalence of such stigmas in Asia is sparse. We report the prevalence of perceived weight-based stigmatisation in Singapore. An anonymised questionnaire was administered to 101 consecutive patients presenting to a multidisciplinary weight management

Head and face anthropometric study for respirators in the multi-ethnic Asian population of Malaysia.

BackgroundExisting anthropometric studies for respirator designs are based on the head and facial dimensions of Americans and Chinese nationals, with no studies for multi-ethnic countries like Malaysia. This study aimed to create head and facial morphological database for Malaysia, specifically to identify morphological differences between genders, ethnicities, and birthplaces, as well as predictors of the dimensions.DesignA cross-sectional study.SettingMalaysia.ParticipantsA nation-wide cross-sectional study using a complex survey design with two stage-stratified random sampling was conducted among 3,324 participants, aged 18 years and above who were also participants of the National Health and Morbidity Survey 2020.Primary and secondary outcomesThe study collected data on sociodemographic, measurement of Body Mass Index (BMI) and 10 head and facial dimensions (3 dimensions were measured using direct measurement, and 7 others using Digimizer software for 2-dimension images). Linear regression was performed to determine the association between gender, ethnicity, birthplace, age and BMI and the dimensions.ResultsThere were significant differences in all the dimensions between sex, birthplace and ethnicity (p < 0.005). Further analysis using linear regression showed sex, ethnicity, birthplace, age and BMI were significant predictors of the dimensions. In comparison to studies from the United States and China, our study population had a wider interpupillary distance and nose breadth for both male and female participants, but smaller bigonial breadth and smaller minimal frontal breadth.ConclusionThese findings could assist in the design and sizing of respirators that will fit Malaysians and possibly other Southeast Asian population.

Comparison of the modified Singapore myocardial infarction registry risk score with GRACE 2.0 in predicting 1-year acute myocardial infarction outcomes

Risk stratification plays a key role in identifying acute myocardial infarction (AMI) patients at higher risk of mortality. However, current AMI risk scores such as the Global Registry of Acute Coronary Events (GRACE) score were derived from predominantly Caucasian populations and may not be applicable to Asian populations. We previously developed an AMI risk score from the national-level Singapore Myocardial Infarction Registry (SMIR) confined to ST-segment elevation myocardial infarction (STEMI) patients and did not include non-STEMI (NSTEMI) patients. Here, we derived a modified SMIR risk score for both STEMI and NSTEMI patients and compared its performance to the GRACE 2.0 score for predicting 1-year all-cause mortality in our multi-ethnic population. The most significant predictor of 1-year all-cause mortality in our population using the GRACE 2.0 score was cardiopulmonary resuscitation on admission (adjusted hazards ratio [HR] 6.50), while the most significant predictor using the SMIR score was age 80–89 years (adjusted HR 7.78). Although the variables used in the GRACE 2.0 score and SMIR score were not exactly the same, the c-statistics for 1-year all-cause mortality were similar between the two scores (GRACE 2.0 0.841 and SMIR 0.865). In conclusion, we have shown that in a multi-ethnic Asian AMI population undergoing PCI, the SMIR score performed as well as the GRACE 2.0 score.

Associations between visual impairment, incident falls and fall frequency among older asians: longitudinal findings from the Singapore Epidemiology of Eye Diseases study

BackgroundAssociation between baseline visual impairment (VI) bilaterality and severity, and associated causes; and incident and frequent falls at 6 years in a multiethnic Asian population aged ≥60 years.MethodsIt is a...

Revisiting Covered Calls and Protective Puts: A Tale of Two Strategies

<h3>Background</h3> To examine the normative profile and determinants of retinal nerve fibre layer (RNFL) symmetry in a non-glaucoma, multiethnic Asian population. <h3>Methods</h3> Chinese, Malay and Indian adults aged ≥40 years were recruited from the Singapore Epidemiology of Eye Diseases study. Participants underwent standardised systemic and ocular examinations. RNFL thickness was obtained using a spectral-domain optical coherence tomography (Cirrus HD-OCT). RNFL symmetry (in %) was calculated based on Pearson correlation coefficient between the RNFL thickness profiles of the right and left eyes. Multivariable linear regression analysis was used to investigate the associations between ocular and systemic factors with RNFL symmetry. <h3>Results</h3> 4211 participants (1227 Chinese, 1245 Malays, 1739 Indians) were included. The mean RNFL symmetry was 86.7%±8.5% in Chinese, 84.7%±10.2% in Malays and 84.0%±10.7% in Indians. The fifth percentile limit of RNFL symmetry was 71.2% in Chinese, 65.0% in Malays and 62.0% in Indians. In multivariable analysis adjusting for age, gender, ethnicity, hypertension, diabetes, hyperlipidaemia, intereye absolute differences in intraocular pressure (IOP), axial length and disc area, Malays (β=−0.9; p=0.03) and Indians (β=−1.76; p&lt;0.001) were found to have lower RNFL symmetry compared with Chinese. Older age, greater intereye differences in IOP, axial length and disc area were significantly associated with lower RNFL symmetry (all p≤0.003). <h3>Conclusions</h3> In non-glaucoma individuals, intereye RNFL profile is less symmetric in Malays and Indians than that in Chinese. This also suggests that current commercial optical coherence tomography’s deployment of a single, universal RNFL symmetry cut-off for glaucoma detection is flawed, and ethnic-specific cut-off is warranted.

Esophageal squamous cell carcinoma and adenocarcinoma in Malaysia – Pooled data from upper gastrointestinal centers in a multiethnic Asian population

BackgroundEsophageal cancer is the sixth leading cause of cancer death worldwide with considerable geographical histological variation There is a paucity of data in esophageal cancer in demographics, histology, and survival among the multi-ethnic Malaysian population. This paper is a review of esophageal cancer epidemiology and survival among esophageal cancer patients from data collected by the Malaysian Upper Gastrointestinal Surgical Society. MethodsThis is a multicenter retrospective observational study of esophageal cancer patients from six upper gastrointestinal surgical centers in Malaysia between 2005 and 2019. Patient characteristics, histological type and stage were compared and survival analyzed. ResultsThere were 820 patients with esophageal cancer included, where 442 (53.9 %) cases had squamous cell carcinoma (SCC) and 378 (46.1 %) had adenocarcinomas (AC). Malays were the predominant ethnicity with AC (66.7 %) while Indians were the ethnic majority (74.6 %) with SCC. Majority of patients (56.8 %) presented as stage IV disease. Overall, the 1-, 3-, and 5-years’ survival were 35.8 %, 13.8 % and 11.0 %, respectively. Surgical resection with curative intent yielded the best 5-year survival (29.4 %). Intervention in stage IV AC yielded superior survival when compared to SCC (median survival, 7.9 months vs 4.8 months; p, 0.018) Our series demonstrated an increase in AC to SCC over the last 15 years. ConclusionsThere was an ethnic preponderance seen between different histology in this region, not previously discussed. An increase in AC was observed over the last 15 years. Late diagnosis seen in most patients imparts poor prognosis as curative surgery affords the best outcome.

One year clinical outcomes of Rutherford 6 chronic limb threatening ischemia patients undergoing lower limb endovascular revascularisation from Singapore

BackgroundPercutaneous transluminal angioplasty (PTA) is widely used as a first-line revascularisation option in patients with chronic limb threatening ischemia (CLTI). This study aimed to evaluate the short-term endovascular revascularisation treatment outcomes of a cohort of Rutherford 6 (R6) CLTI patients, from a multi-ethnic Asian population in Singapore.Patients with R6 CLTI who underwent endovascular revascularisation from June 2019 to February 2020 at Singapore General Hospital, a tertiary vascular centre in Singapore, were included and followed up for one year. Primary outcome measures included number and type of reinterventions required, 3-, 6- and 12-month mortality, 6- and 12-month amputation free survival (AFS), wound healing success and changes in Rutherford staging after 3, 6 and 12 months.ResultsTwo hundred fifty-five procedures were performed on 86 patients, of whom 78 (90.7%) were diabetics, 54 (62.8%) had coronary artery disease (CAD) and 54 (62.8%) had chronic kidney disease (CKD). 42 patients (48.8%) required reintervention within 6 months. Multivariate analysis revealed that the presence of CAD was a significant independent predictor for reintervention. Mortality was 15.1%, 20.9% and 33.7% at 3, 6 and 12 months respectively. AFS was 64.0% and 49.4% at 6 and 12 months. Inability to ambulate, congestive heart failure (CHF), dysrhythmia and CKD were significant independent predictors of lower 12-month AFS.ConclusionsPTA for R6 CLTI patients was associated with relatively high mortality and reintervention rates at one year. CAD was an independent predictor of reintervention. More research is required to help risk stratify which CLTI patients would benefit from an endovascular-first approach versus conservative treatment or an immediate major lower extremity amputation policy.