Antibodies, Viral ; physiology ; Betacoronavirus ; physiology ; Clinical Laboratory Techniques ; Coronavirus Infections ; diagnosis ; Cross Reactions ; physiology ; Enzyme-Linked Immunosorbent Assay ; Fluorescent Antibody Technique, Indirect ; Humans ; Pandemics ; Pneumonia, Viral ; diagnosis ; SARS Virus ; physiology

Introduction: The accurate measurement of the height of bedridden patients is difficult. Height assessment is required for the calculation of body mass index, which is crucial for determining the nutrition status of a patient. This study aimed to validate recumbent length measurement against the standing height measurement using soft and firm mattresses and to derive predictive equations to calculate the actual height of bedridden patients on mattresses with different firmness. Methods: Ninety-nine hospitalised participants (mean age 48.9±13.9 years; range 21–80 years) (49 men, 50 women) and 100 healthy participants (mean age 36.8±13.6 years; range 21–77 years) (50 men, 50 women) were recruited. Standing height was measured using a stadiometer. Recumbent length was measured using a 2 metre long measuring tape. Hospitalised participants lay on soft mattress and healthy participants on firm mattress. Results: Using Bland–Altman plot, 96% of hospitalised participants using soft mattress were within 2.5±2.7 cm (mean±2SD) whereas 97% of healthy participants using firm mattress were within 2.1±2.1 cm. The regression equation developed using firm mattress was Standing height (cm) = 0.993 x Recumbent length – 0.943; (r2=0.982). The regression equation developed using soft mattress was Standing height (cm) = 1.012 x Recumbent length – 4.477; (r2=0.981). Conclusion: We concluded that recumbent length is a valid clinical tool to estimate standing height. Standing height can be estimated from the predictive equations developed for patients lying on soft or firm mattresses.

INTRODUCTION: Hospital-at-home programmes are well described in the literature but not in Asia. We describe a home-based inpatient substitutive care programme in Singapore, with clinical and patient-reported outcomes. METHODS: We conducted a retrospective cohort study of patients admitted to a hospital-at-home programme from September 2020 to September 2021. Suitable patients, who otherwise required hospitalisation, were admitted to the programme. They were from inpatient wards, emergency department and community nursing teams in the western part of Singapore, where a multidisciplinary team provided hospital-level care at home. Electronic health record data were extracted from all patients admitted to the programme. Patient satisfaction surveys were conducted post-discharge. RESULTS: A total of 108 patients enrolled. Mean age was 67.9 (standard deviation 16.7) years, and 46% were male. The main diagnoses were skin and soft tissue infections (35%), urinary tract infections (29%) and fluid overload (18%). Median length of stay was 4 (interquartile range 3-7) days. Seven patients were escalated back to the hospital, of whom 2 died after escalation. One patient died at home. There was 1 case of adverse drug reaction and 1 fall at home, and no cases of hospital-acquired infections. Patient satisfaction rates were high and 94% of contactable patients would choose to participate again. CONCLUSION Hospital-at-home programmes appear to be safe and feasible alternatives to inpatient care in Singapore. Further studies are warranted to compare clinical outcomes and cost to conventional inpatient care.
Aftercare ; Aged ; Female ; Hospitalization ; Humans ; Length of Stay ; Male ; Patient Discharge ; Retrospective Studies ; Singapore

INTRODUCTION: Despite reports suggesting an association between COVID-19 mRNA vaccination and pericarditis and myocarditis, detailed nationwide population-based data are sparsely available. We describe the incidence of pericarditis and myocarditis by age categories and sex after COVID-19 mRNA vaccination from a nationwide mass vaccination programme in Singapore. METHODS: The incidence of adjudicated cases of pericarditis and myocarditis following COVID-19 mRNA vaccination that were reported to the vaccine safety committee between January to July 2021 was compared with the background incidence of myocarditis in Singapore. RESULTS: As of end July 2021, a total of 34 cases were reported (9 pericarditis only, 14 myocarditis only, and 11 concomitant pericarditis and myocarditis) with 7,183,889 doses of COVID-19 mRNA vaccine administered. Of the 9 cases of pericarditis only, all were male except one. The highest incidence of pericarditis was in males aged 12-19 years with an incidence of 1.11 cases per 100,000 doses. Of the 25 cases of myocarditis, 80% (20 cases) were male and the median age was 23 years (range 12-55 years) with 16 cases after the second dose. A higher-than-expected number of cases were seen in males aged 12-19 and 20-29 years, with incidence rates of 3.72 and 0.98 case per 100,000 doses, respectively. CONCLUSION Data from the national registry in Singapore indicate an increased incidence of pericarditis and myocarditis in younger men after COVID-19 mRNA vaccination.
Adolescent ; Adult ; COVID-19/prevention & control* ; COVID-19 Vaccines/adverse effects* ; Child ; Female ; Humans ; Male ; Middle Aged ; Myocarditis/etiology* ; Pericarditis/etiology* ; RNA, Messenger ; SARS-CoV-2 ; Vaccination/adverse effects* ; Vaccines, Synthetic ; Young Adult ; mRNA Vaccines

Biopsy ; CD79 Antigens ; metabolism ; Central Nervous System ; Diagnosis, Differential ; Female ; Humans ; Immunohistochemistry ; Inflammation ; Ki-67 Antigen ; metabolism ; Lymphoma, Large B-Cell, Diffuse ; diagnosis ; Magnetic Resonance Imaging ; Middle Aged ; Panniculitis ; diagnostic imaging ; Prognosis

INTRODUCTIONMental illnesses are not only a growing public health concern but also a major social and economic issue affecting individuals and families throughout the world. The prevalence of mental disorders, the extent of disability caused by these disorders, and services utilisation of these patients has been well studied in developed countries. The aim of this study was to establish the prevalence of select mental disorders and their associated sociodemographic correlates in the adult Singapore resident population.

MATERIALS AND METHODSThis was a cross-sectional, populationbased, epidemiological study of adult Singapore residents aged 18 years and above. The subjects were randomly selected using a disproportionate stratified sampling method. The diagnoses of selected mental disorders including major depressive disorder (MDD), dysthymia, bipolar (bipolar I & II) disorders, generalised anxiety disorder (GAD), obsessive compulsive disorder (OCD), alcohol abuse and alcohol dependence were established using the Composite International Diagnostic Interview, which is a fully structured diagnostic instrument that assesses lifetime and 12-month prevalence of mental disorders.

RESULTSAmong the 6616 respondents (response rate of 75.9%), 12.0% had at least one lifetime affective, anxiety, or alcohol use disorders. The lifetime prevalence of MDD was 5.8% and that of bipolar disorder was 1.2%. The combined lifetime prevalence of the 2 anxiety disorders, GAD and OCD was 3.6%, with the latter being more common than GAD (0.9% and 3.0% respectively). The lifetime prevalence of alcohol abuse and dependence were found to be 3.1% and 0.5% respectively. Age, gender, ethnicity, marital status and chronic physical illnesses were all significant correlates of mental disorders.

CONCLUSIONThe identified associated factors would help guide resource allocation, policy formulation and programme development in Singapore.

Adolescent ; Adult ; Aged ; China ; ethnology ; Cross-Sectional Studies ; Female ; Health Surveys ; Humans ; India ; ethnology ; Malaysia ; ethnology ; Male ; Mental Disorders ; classification ; diagnosis ; epidemiology ; ethnology ; Middle Aged ; Risk Assessment ; Singapore ; epidemiology ; Young Adult

INTRODUCTIONInfluenza vaccine has been shown to be highly effective in temperate regions with well-defined seasonal influenza. Healthcare workers (HCWs) are advised to receive regular influenza vaccination to protect themselves and their patients. However, there are limited data on the efficacy of influenza vaccine in HCWs in the tropics.

MATERIALS AND METHODSIn this observational, investigator blinded cohort study, bi-monthly questionnaires recording influenza-like illness (ILI) episodes and medical leave were administered to 541 HCWs at the Singapore National University Hospital and KK Women's and Children's Hospital from 2004 to 2005. ILI was defined according to a standard symptom score.

RESULTSBaseline characteristics were comparable in both the vaccinated and non-vaccinated groups. Overall, the relative risk of self-reported ILI in vaccinated HCWs was 1.13 [95% confidence interval (CI), 0.98-1.13; P=0.107]; medical leave taken was lower in the vaccinated group [mean 0.26+/-0.6 days per visit, compared with 0.30+/-0.5 days in the non-vaccinated group (P=0.40)]. Because of the reported Northern Hemisphere 2003/04 vaccine mismatch, we stratified the cohort and determined that the group which received a matched vaccine had a relative risk of ILI of 0.49 (95% CI, 0.37-0.66; P<0.001), achieving a vaccine efficacy of 51%. Mean medical leave decreased significantly in HCWs who received the matched vaccine, compared with those who did not receive vaccination (0.13+/-0.3 vs 0.30+/-0.5; P<0.001) and with HCWs vaccinated with mismatched strains (0.13+/-0.3 vs 0.39+/-0.9; P=0.01).

CONCLUSIONSA well-matched influenza vaccine is effective in preventing ILI and reducing sickness absence in healthcare workers in tropical settings. Efforts need to be made to increase influenza vaccination rates and to improve the currently available vaccines.

Adult ; Attitude of Health Personnel ; Cohort Studies ; Confidence Intervals ; Female ; Health Personnel ; statistics & numerical data ; Humans ; Influenza Vaccines ; Influenza, Human ; epidemiology ; prevention & control ; Male ; Occupational Exposure ; Occupational Health ; Prospective Studies ; Risk ; Singapore ; epidemiology ; Single-Blind Method ; Surveys and Questionnaires ; Tropical Climate

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.