INTRODUCTION: Multisystem inflammatory syndrome in children (MIS-C) is a rare inflammatory syndrome with multisystem involvement affecting children exposed to COVID-19. This condition is rarely reported in East Asia and was not detected in Singapore until 2021. We present 12 cases of MIS-C diagnosed in KK Women's and Children's Hospital (KKH) from October 2021 to December 2021. METHOD: We conducted an observational study on cases fulfilling the Singapore Ministry of Health criteria for MIS-C from January 2020 to December 2021 in KKH. Medical records were reviewed to obtain information on clinical presentation, disease course, treatment received and outcomes. RESULTS: In the 12 cases detected, the median age was 7.50 years (interquartile range 4.00-9.25); 8 were male. All patients had mucocutaneous symptoms similar to Kawasaki disease. Other commonly involved systems were: haematological (coagulopathy 100%, lymphopaenia 91.70% and thrombocytopaenia 75.00%), gastrointestinal (75.00%) and cardiovascular (83.30%). Six patients (50.00%) had shock and were admitted to the intensive care unit. The majority of patients received treatment within 2 days of hospitalisation with intravenous immunoglobulin (IVIg) and steroids. All survived; the majority had normal echocardiograms and no long-term organ sequelae at 6 months post-discharge. CONCLUSION MIS-C emerged in Singapore as the incidence of COVID-19 in the community increased in 2021. The clinical presentation of our patients is similar to earlier reports, with some significant differences from Kawasaki disease. Multidisciplinary management, timely diagnosis, and early initiation of treatment with IVIg and steroids likely contributed to comparatively good outcomes. Our cases highlight the need for continued awareness of MIS-C among physicians, and surveillance of its incidence, short- and long-term outcomes.
Child ; Humans ; Female ; Male ; COVID-19/epidemiology* ; Mucocutaneous Lymph Node Syndrome ; Immunoglobulins, Intravenous/therapeutic use* ; Aftercare ; Singapore/epidemiology* ; Patient Discharge

INTRODUCTIONThis study investigated the effect of an access-enhanced intervention on hypertension screening and management, as well as on health behaviours among newly diagnosed hypertensives, in a multi-ethnic low socioeconomic status (SES) community. Factors associated with hypertension screening, treatment, and control in the community were also determined.

MATERIALS AND METHODSThe study involved all residents aged ≥40 years in 2 public rental housing precincts (low SES), between 2009 and 2011, who were followed-up prospectively for 1 year after a 6-month community-based intervention comprising a 3-month access-enhanced screening component and a 3-month follow-up (outreach) component. Blood pressure was measured at baseline and follow-up. Multivariate Cox regression determined predictors of hypertension management at follow-up.

RESULTSThe follow-up rate was 80.9% (467/577). At baseline, 60.4% (282/467) were hypertensive; 53.5% (151/282) were untreated; 54.2% (71/131) uncontrolled. One year later, postintervention, 51.6% (78/151) of untreated hypertensives were treated; combined with treated hypertensives previously uncontrolled, 53.0% (79/149) achieved control. Older age independently predicted treatment (adjusted relative risk, aRR = 1.98, CI, 1.08 to 3.65); majority ethnicity (aRR = 1.76, CI, 1.05 to 2.96), employment (aRR = 1.85, CI, 1.26 to 2.80) and newly treated hypertension (aRR=1.52, CI, 1.01 to 2.32) predicted control. A total of 52.4% (97/185) were irregularly screened at baseline; at follow-up 61.9% (60/97) were regularly screened. Cost and misperceptions were common barriers to screening and treatment. Newly diagnosed hypertensives were also less likely to go for additional cardiovascular screening (aRR = 0.54, CI, 0.29 to 0.99).

CONCLUSIONAn access-enhanced intervention had some success in improving hypertension management within low SES communities; however, it was less successful in improving cardiovascular risk management, especially in encouraging lifestyle changes and additional cardiovascular screening amongst newly diagnosed hypertensives.

Adult ; Age Factors ; Aged ; Antihypertensive Agents ; therapeutic use ; Asian Continental Ancestry Group ; statistics & numerical data ; Diet, Sodium-Restricted ; methods ; Exercise Therapy ; methods ; Female ; Health Services Accessibility ; statistics & numerical data ; Humans ; Hypertension ; diagnosis ; ethnology ; therapy ; Male ; Mass Screening ; Middle Aged ; Multivariate Analysis ; Patient Compliance ; ethnology ; statistics & numerical data ; Patient Dropouts ; statistics & numerical data ; Poverty ; statistics & numerical data ; Proportional Hazards Models ; Prospective Studies ; Risk Reduction Behavior ; Singapore ; Smoking Cessation ; methods ; Social Class ; Treatment Outcome ; Weight Reduction Programs ; methods

We report a case of a 61-year-old woman with a large atrial septal defect (ASD) that was detected incidentally on chest radiography and computed tomography when she presented with sepsis. Echocardiography confirmed a large secundum ASD with left-to-right shunt flow, right heart dilatation and severe pulmonary hypertension. The patient had a poor clinical outcome despite intensive care and eventually passed away. Haemodynamically significant ASDs have a known association with increased morbidity and mortality, and their early detection and closure cannot be understated. This article aimed to highlight the imaging features of ASD, with special emphasis on the routine chest radiograph. The pathophysiology and clinical manifestations of ASD are also briefly discussed.
Cardiomegaly ; complications ; diagnostic imaging ; Critical Care ; Female ; Heart Septal Defects, Atrial ; complications ; diagnostic imaging ; Hemodynamics ; Humans ; Hypertension, Pulmonary ; complications ; diagnostic imaging ; Middle Aged ; Patient Admission ; Pulmonary Artery ; diagnostic imaging ; Radiography, Abdominal ; Radiography, Thoracic ; Sepsis ; complications ; diagnostic imaging ; Tomography, X-Ray Computed ; Young Adult

INTRODUCTION: Singapore's enhanced surveillance programme for COVID-19 identifies and isolates hospitalised patients with acute respiratory symptoms to prevent nosocomial spread. We developed risk prediction models to identify patients with low risk for COVID-19 from this cohort of hospitalised patients with acute respiratory symptoms. METHODS: This was a single-centre retrospective observational study. Patients admitted to our institution's respiratory surveillance wards from 10 February to 30 April 2020 contributed data for analysis. Prediction models for COVID-19 were derived from a training cohort using variables based on demographics, clinical symptoms, exposure risks and blood investigations fitted into logistic regression models. The derived prediction models were subsequently validated on a test cohort. RESULTS: Of the 1,228 patients analysed, 52 (4.2%) were diagnosed with COVID-19. Two prediction models were derived, the first based on age, presence of sore throat, dormitory residence, blood haemoglobin level (Hb), and total white blood cell counts (TW), and the second based on presence of headache, contact with infective patients, Hb and TW. Both models had good diagnostic performance with areas under the receiver operating characteristic curve of 0.934 and 0.866, respectively. Risk score cut-offs of 0.6 for Model 1 and 0.2 for Model 2 had 100% sensitivity, allowing identification of patients with low risk for COVID-19. Limiting COVID-19 screening to only elevated-risk patients reduced the number of isolation days for surveillance patients by up to 41.7% and COVID-19 swab testing by up to 41.0%. CONCLUSION Prediction models derived from our study were able to identify patients at low risk for COVID-19 and rationalise resource utilisation.
Humans ; COVID-19/epidemiology* ; SARS-CoV-2 ; Hospitalization ; Logistic Models ; Retrospective Studies ; Hemoglobins