INTRODUCTION: The profile of patients referred from primary to tertiary nephrology care is unclear. Ethnic Malay patients have the highest incidence and prevalence of kidney failure in Singapore. We hypothesised that there is a Malay predominance among patients referred to nephrology due to a higher burden of metabolic disease in this ethnic group. METHODS: This is a retrospective observational cohort study. From 2014 to 2018, a coordinator and physician triaged patients referred from primary care, and determined co-management and assignment to nephrology clinics. Key disease parameters were collated on triage and analysed. RESULTS: A total of 6,017 patients were studied. The mean age of patients was 64 ± 16 years. They comprised 57% men; 67% were Chinese and 22% were Malay. The proportion of Malay patients is higher than the proportion of Malays in the general population (13.4%) and they were more likely than other ethnicities to have ≥3 comorbidities, including diabetes mellitus, hypertension, hyperlipidaemia, coronary artery disease and stroke (70% vs. 57%, P < 0.001). Malay and Indian patients had poorer control of diabetes mellitus compared to other ethnicities (glycated haemoglobin 7.8% vs. 7.4%, P < 0.001). Higher proportion of Malay patients compared to other ethnicities had worse kidney function with estimated glomerular filtration rate (eGFR) <30 mL/min/1.73 m 2 on presentation (28% vs. 24%, P = 0.003). More ethnic Malay, Indian and younger patients missed appointments. CONCLUSION A disproportionately large number of Malay patients are referred for kidney disease. These patients have higher metabolic disease burden, tend to miss appointments and are referred at lower eGFR. Reasons underpinning these associations should be identified to facilitate efforts for targeting this at-risk population, ensuring kidney health for all.
Humans ; Male ; Female ; Retrospective Studies ; Middle Aged ; Singapore/epidemiology* ; Referral and Consultation/statistics & numerical data* ; Aged ; Nephrology ; Glomerular Filtration Rate ; Metabolic Diseases/epidemiology* ; Ethnicity ; Diabetes Mellitus/epidemiology* ; Malaysia/ethnology* ; Adult

INTRODUCTION: Preterm birth (PTB) remains a leading cause of perinatal morbidity and mortality worldwide. Understanding Singapore's PTB trends and associated risk factors can inform effective strategies for screening and intervention. This study analyses PTB trends in Singapore from 2017 to 2023, identifies risk factors in this multi-ethnic population and evaluates a predictive model for PTB. METHOD: A retrospective analysis of all PTBs between 22+0 and 36+6 weeks of gestation, from 1 January 2017 to 31 December 2023, was performed by extracting maternal and neonatal data from electronic medical records. These PTBs were taken from the registry of births for Singapore and SingHealth cluster data. Cochran- Armitage trend test and multinomial logistic regression were used. An extreme gradient boosting (XGBoost) model was developed to test and predict the risk of PTB. RESULTS: The PTB rate in Singapore did not show a significant change. However, there was modest downward trend in the SingHealth population from 11.3% to 10.2%, mainly in late spontaneous PTBs (sPTBs). sPTBs accounted for ∼60% of PTBs. Risk factors for very/extreme sPTB included Chinese ethnicity, age ≥35 years, body mass index (BMI) ≥23 kg/m², being unmarried, primiparity, twin pregnancy and maternal blood group AB. The XGBoost model achieved an area under the receiver operating characteristic curve of 0.75, indicating moderate ability to predict PTB. CONCLUSION The overall PTB rate in Singapore has not improved. This study underscores the importance of local factors, particularly advanced maternal age, BMI, primiparity, unmarried, Chinese ethnicity and maternal blood group AB influencing PTB risk. Artificial intelligence methods show promise in improving PTB risk stratification, ultimately supporting personalised care and intervention.
Humans ; Singapore/epidemiology* ; Retrospective Studies ; Female ; Risk Factors ; Premature Birth/ethnology* ; Pregnancy ; Adult ; Infant, Newborn ; Asian People/statistics & numerical data* ; Gestational Age ; Body Mass Index ; Maternal Age ; Logistic Models ; Ethnicity

Objective: To understand the characteristics of HIV infected persons without long term disease progress [also known as long term non-progressors (LTNPs)], and related factors in Guangxi Zhuang Autonomous Region (Guangxi). Methods: Data of persons living with HIV and receiving no antiretroviral therapy in Guangxi by the end of 2016 were collected from the national HIV/AIDS comprehensive control and prevention information system of China. Results: By the end of 2016, there were 313 LTNPs in Guangxi, accounting for 2.3% of those being reported for more than 10 years, 5.4% of those being reported for more than 10 years and surviving, and 26.6% of those being reported for more than 10 years, surviving and receiving no antiretroviral therapy. Among the LTNPs, 87.2%(273) were men, 94.9% (297) were aged ≤ 40 years, 32.3% (101) were farmers, 55.6% (174) were single, divorced or widowed, 69.3% (217) were of Han ethnic group, 68.1% (213) were injecting drug users, and 52.1% (163) were from custody facilities. Multiple logistic regression analysis indicated that factors associated with delayed disease progression included age ≤40 years (compared with age >40 years, aOR=1.55, 95%CI: 1.31-3.12) and injection drug use (compared with sexual transmission, aOR=1.23, 95%CI: 1.10-1.74). Conclusions: A number of LTNPs existed in HIV-infected individuals in Guangxi. Further research are needed to identify the related factors, and it is necessary to conduct large sample size studies on host immunology, genetics and the virology of HIV to explore the related mechanism.
Adolescent ; Adult ; Age Distribution ; China/epidemiology* ; Drug Users/statistics & numerical data* ; Ethnicity/statistics & numerical data* ; HIV Infections/ethnology* ; Humans ; Male ; Socioeconomic Factors