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Introduction: The early identification of patients at risk of severe dengue infection (DI) is critical to guide clinical management. There is currently no validated laboratory test which can predict severe complications of DI. The Atypical lymphocyte count (ALC) is a research parameter generated at no extra cost when an automated Full Blood Count (FBC) is performed. The purpose of this study was to assess the association of ALC with the severity of DI. Methods: We prospectively collected data on patients admitted to Nawaloka Hospital Sri Lanka (NH) with DI between December 2016 and November 2017. DI was diagnosed based on a positive Non-structural antigen 1 (NS1) or dengue IgM antibody. ALC (absolute ALC and percentage) data were extracted from the Sysmex XS500i automated full blood count (FBC) analyzer (Sysmex Corporation Kobe, Japan). Clinical data was recorded from medical records and the computerized data base maintained by NH. Results: 530 patients were enrolled. Patients with clinical manifestations of severe dengue have a significantly higher AL % compared to dengue without warning signs. Patients who presented with respiratory compromise had statistically significantly higher AL% compared to those without. (AL%; 8.65±12.09 vs 2.17±4.25 [p = 0.01]). Similarly, patients who developed hypotension had higher AL% compared to those who did not suffered from shock (AL%; 8.40±1.26 vs 2.18±4.25 [p = 0.001]). The AL% of dengue patients presenting with bleeding, at 4.07%, is also higher than those without bleeding complications, at 2.15%. There was a significant negative association between platelet count and AL% (p = 0.04). Conclusions: Clinical manifestations of severe dengue have a significantly higher AL % compared to dengue without warning signs. AL % at presentation may be predictive of severe DI and future larger prospective longitudinal studies should be done to determine if AL % on admission is predictive of the complications of DI. [ABSTRACT FROM AUTHOR]

Introduction: Due to the shortcomings in the 1997-World Health Organisation (WHO) dengue case classification (DCC), a revised classification was proposed in 2009. This study was aimed to assess the clinical usefulness of the two classifications during a large dengue epidemic. Methodology: Clinical data of dengue patients admitted to selected units at National Hospital of Sri Lanka, Panadura Base Hospital and Nawaloka Hospital Colombo between June and August 2017 were collected prospectively. Cases were classified using the 1997 and 2009 WHO DCCs. Results: 1,878 patients [adult = 1,573 (83.8%)] were studied. Based on 1997-WHO-DCC-DF (Dengue Fever): 1,316 (70.1%), DHF (Dengue Haemorrhagic Fever) -1: 468 (24.9%), DHF-2: 86 (4.6%) and DHF-3: 8 (0.4%). Based on 2009-WHO-DCC-Dengue with warning signs (WS): 1647 (87.7%), Dengue without WS: 231 (12.3%) and severe dengue (SD): 41 (2.18%). A total of 1,088 (82.7%) DF and 559 (99.5%) DHF patients developed WS. Of those without WS, 228 (17.3%) were DF patients and 3 (0.5%) were DHF patients. Three (0.23%) DF and 38 (6.76%) DHF patients had SD. All SD patients had WS. The level of agreement between the two systems of classification was poor (Kappa = - 0.035, p < 0.001). Conclusions: The 2009-WHO-DCC was more useful than 1997-WHO-DCC in predicting dengue disease severity as few DF patients also had SD. Furthermore, the presence of WS identified patients with SD. However, the 2009-WHO-DCC may not suit the resource limited countries as WS are non-specific, and lack of diagnostic tests can result in case overload. [ABSTRACT FROM AUTHOR]

Background: Coronavirus disease 2019 (COVID-19) may cause clinical manifestations that last for weeks or months after hospital discharge. The manifestations are heterogeneous and vary in their frequency. Their multisystem nature requires a holistic approach to management. There are sparse data from the South Asian region on the outcomes of hospital-discharged COVID-19 patients. We assessed the posthospital discharge outcomes of a cohort of Sri Lankan COVID-19 patients and explored the factors that influenced these outcomes., Methods: Data were prospectively collected from patients who were discharged following an admission to the Nawaloka Hospital, Sri Lanka with COVID-19 from March to June 2021. At discharge, their demographic, clinical and laboratory findings were recorded. The patients were categorised as having mild, moderate and severe COVID-19, based on the Sri Lanka Ministry of Health COVID-19 guidelines. Following discharge, information on health status, complications and outcomes was collected through clinic visits and preplanned telephone interviews. A validated (in Sri Lanka) version of the Short Form 36 health survey questionnaire (SF-36) was used to assess multi-item dimensions health status of the patients at 1, 2 and 3 mo postdischarge., Results: We collected data on 203 patients (male, n=111 [54.7%]). The level of vaccination was significantly associated with disease severity (p<0.001). Early recovery was seen in the mild group compared with the moderate and severe groups. At 3 mo, on average 98% of mild and 90% of moderate/severe patients had recovered. Based on the SF-36, physical functioning dimensions, role limitation due to physical and emotional health, energy/ fatigue, emotional well-being, social functioning, pain and general health were significantly different in the moderate/severe vs mild COVID-19 groups at 1, 2 and 3 mo postdischarge (p<0.05). Twenty-three patients developed complications, of which the most common were myocardial infarction with heart failure (n=6/23; 26.1%), cerebrovascular accident (n=6/23; 26.1%) and respiratory tract infections (n=3/23; 13.01%) and there were six deaths., Conclusions: In our cohort, receiving two doses of the COVID-19 vaccine was associated with reduced disease severity. Those with mild disease recovered faster than those with moderate/severe disease. At 3 mo posthospital discharge, >90% had recovered., (© The Author(s) 2022. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene.)