Polyarthritis in four patients with chikungunya arthritis

The incidence of chikungunya infection in Singapore has been on the rise since the first reported case in 2006. Acute polyarthritis, a common manifestation among affected patients, may precede fever and present with debilitating arthritis to rheumatologists, orthopaedists, internists and primary care physicians. The diagnosis of chikungunya infection requires careful history taking and a high index of suspicion, with supporting evidence from the reverse transcription-polymerase chain reaction or the chikungunya IgM serology test. Treatment of chikungunya arthritis usually involves non-steroidal anti-inflammatory drugs. Rarely, polyarthritis in chikungunya may persist even after resolution of the acute infection, necessitating treatment with disease-modifying anti-rheumatic drugs. In this article, we present the different manifestations of chikungunya arthritis in our local setting and review the literature.

Severe infection with H1N1 requiring intensive care--lessons for preparedness programmes

<p><b>INTRODUCTION</b>The influenza pandemic has generated much interest in the press and the medical world. We report our experience with 15 cases of severe novel influenza A H1N1 (2009) infections requiring intensive care. The aim of this review is to improve our preparedness for epidemics and pandemics by studying the most severely affected patients.</p><p><b>CLINICAL PICTURE</b>During the epidemic, hospitals were required to provide data on all confirmed H1N1 cases admitted to an intensive care unit (ICU) to the Ministry of Health. We abstracted information from this dataset for this report. To highlight learning points, we reviewed the case notes of, and report, the fi ve most instructive cases.</p><p><b>TREATMENT</b>There were 15 cases admitted to an ICU from July 4, 2009 to August 30, 2009. Two patients died.</p><p><b>CONCLUSIONS</b>The lessons we wish to share include the following: preparedness should include having intermediate-care facilities that also provide single room isolation and skilled nursing abilities, stringent visitor screening should be implemented and influenza may trigger an acute myocardial infarction in persons with risk factors.</p>

SARS in Singapore--predictors of disease severity

<p><b>INTRODUCTION</b>Severe acute respiratory syndrome (SARS) affected 8096 individuals in 29 countries, with 774 deaths. In Singapore, there were 238 cases of SARS with 33 deaths. A retrospective analysis was performed to identify predictors of poor outcome in patients with SARS locally.</p><p><b>MATERIALS AND METHODS</b>Clinical, laboratory and outcome data of 234 patients admitted to Tan Tock Seng Hospital and Singapore General Hospital were collected and analysed. Only data collected at the time of admission were used in the analysis for predictors of poor outcome. Adverse events were defined as admission to the intensive care unit or death.</p><p><b>RESULTS</b>Clinical (temperature, FiO2) and laboratory [leukocyte, lymphocyte, neutrophil, platelet, lactate dehydrogenase (LDH), albumin] trends in groups with and without an adversarial event were presented. Fifty patients experienced an adverse event. On univariate analysis, male gender, advanced age, presence of comorbidities, neutrophilia, lymphopaenia, hyponatraemia, hypoalbuminaemia, transaminitis and elevated LDH or C-reactive protein were found to be significant predictors. On multivariate analysis, predictors of poor outcome were increased age [odds ratio (OR) 1.73 for every 10-year increase; 95% CI, 1.35 to 2.21], neutrophilia (OR 1.06 for every 1 x 10(9)/L increase; 95% CI, 1.02 to 1.11) and high LDH (OR 1.17 for every 100 U/L increase; 95% CI, 1.02 to 1.34). None of the 12 paediatric patients had an adverse event.</p><p><b>CONCLUSION</b>Advanced age, neutrophilia and high LDH predict poor outcomes in patients with SARS.</p>

Clinical and laboratory findings of SARS in Singapore

<p><b>INTRODUCTION</b>Singapore was one of 29 countries worldwide affected by severe acute respiratory syndrome (SARS) in 2003.</p><p><b>MATERIALS AND METHODS</b>There were 238 cases identified during the outbreak. We performed a retrospective analysis of the clinical and laboratory data of 234 patients admitted to Tan Tock Seng Hospital and Singapore General Hospital.</p><p><b>RESULTS</b>The mean age of patients was 21 years, 31.6% of patients were males and 41.8% were healthcare workers. At presentation, the common symptoms were fever, myalgia, cough and headache; rhinorrhoea was uncommon. On admission, 21% had leukopenia, 18% had thrombocytopaenia, 29% had hyponatraemia, 31% had hypokalaemia, 21% had transaminitis. Polymerase chain reaction (PCR) testing of respiratory and stool samples provided the best yield at the end of the first week of illness. Thirty-two patients were initially not recognised as probable SARS and were reclassified when the serology test results were available. The chief reasons for not identifying these patients early were persistently normal chest X-rays (68.8%), very mild presentation (43.8%) and the presence of a concomitant illness (12.5%). Overall, 12% of the patients were probable SARS with atypical presentations. Overall mortality was 11.8%.</p><p><b>CONCLUSION</b>Patients infected with the SARS coronavirus had a wide clinical presentation with non-specific symptoms.</p>

Understanding the super-spreading events of SARS in Singapore

<p><b>INTRODUCTION</b>It has been noted that SARS transmission is characterised by a few super-spreading events (SSEs) giving rise to a disproportionate number of secondary cases. Clinical and environmental features surrounding the index cases involved were compared with cases in non- SSEs.</p><p><b>MATERIALS AND METHODS</b>Data on 231 cases of probable SARS admitted to Tan Tock Seng Hospital (TTSH) were used. Index cases directly causing 10 or more secondary cases were classified as having been involved in SSEs; all others were defined as non-SSEs.</p><p><b>RESULTS</b>Only 5 cases were involved in SSEs; all 5 were isolated on day 5 of illness or later, and spent at least a brief period in a non-isolation ward; in contrast, amongst the 226 non-SSE cases, only 40.7% and 4.0% were isolated late and admitted to non-isolation wards respectively, and only 3.1% had both these environmental features present; the differences were highly significant (P = 0.012, P <0.001 and P <0.001 by Fisher's Exact test). When compared to 7 non-SSE cases with delayed isolation and an admission to non-isolation wards, SSEs were more likely to have co-morbid disease or require ICU care at time of isolation (P = 0.045 for both factors).</p><p><b>CONCLUSION</b>SSEs were likely due to a conglomeration of environmental factors of delayed isolation and admission to a non-isolation ward, coupled with severe disease stage at time of isolation.</p>