Medicine

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This repository contains the published and unpublished research of the Faculty of Medicine by the staff members of the faculty

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    Optimizing intraoperative haemodynamics and haemostasis to enhance recovery after liver transplantation for cirrhosis in adults
    (College of Anaesthesiologists of Sri Lanka, 2022) Gunetilleke, B.; Welikala, N.; Ranamuni, R.; Jayaweera, D.; de Silva, T.; Amerasinghe, O.; Liyanage, C.; Dissanayake, J.; Appuhamy, C.; Fernando, M.; Thilakarathne, S.; Dassanayake, A.; Niriella, M.; Siriwardana, R.; Gilbert-Kawai, E.
    Cirrhosis with end stage liver disease is a leading cause of non-communicable disease related deaths in Sri Lanka. Liver transplantation remains the only curative treatment for such patients. Multi-organ dysfunction characteristic of end stage liver disease, surgical and anaesthetic factors, quality of the graft, coagulopathy and haemodynamic instability, all lead to the complexity of the perioperative care for liver transplant. Aggressive management focused particularly on maintaining intra-operative haemodynamic stability and optimizing haemostasis, directly impacts successful patient outcomes and forms the core of the anaesthetic strategy.
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    Geographically regulated designs of incidence surveys can match the precision of classical survey designs whilst requiring smaller sample sizes: the case of snakebite envenoming in Sri Lanka
    (BMJ Publishing Group Ltd, 2022) Ediriweera, D.S.; de Silva, T.; Kasturiratne, A.; de Silva, H.J.; Diggle, P.
    BACKGROUND: Snakebite envenoming is a neglected tropical disease. Data from the worst affected countries are limited because conducting epidemiological surveys is challenging. We assessed the utility of inhibitory geostatistical design with close pairs (ICP) to estimate snakebite envenoming incidence. METHODS: The National Snakebite Survey (NSS) in Sri Lanka adopted a multistage cluster sampling design, based on population distribution, targeting 1% of the country's population. Using a simulation-based study, we assessed predictive efficiency of ICP against a classical survey design at different fractions of the original sample size of the NSS. We also assessed travel distance, time taken to complete the survey, and sensitivity and specificity for detecting high-risk areas for snake envenoming, when using these methods. RESULTS: A classical survey design with 33% of the original NSS sample size was able to yield a similar predictive efficiency. ICP yielded the same at 25% of the NSS sample size, a 25% reduction in sample size compared with a classical survey design. ICP showed >80% sensitivity and specificity for detecting high-risk areas of envenoming when the sampling fraction was >20%. When ICP was adopted with 25% of the original NSS sample size, travel distance was reduced by >40% and time to conduct the survey was reduced by >75%. CONCLUSIONS: This study showed that snakebite envenoming incidence can be estimated by adopting an ICP design with similar precision at a lower sample size than a classical design. This would substantially save resources and time taken to conduct epidemiological surveys and may be suited for low-resource settings.
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    Postdischarge outcomes of COVID-19 patients from South Asia: a prospective study
    (Royal Society of Tropical Medicine and Hygiene, 2022) Abeysuriya, V.; Seneviratne, S.L.; de Silva, A.P.; Mowjood, R.; Mowjood, S.; de Silva, T.; de Mel, P.; de Mel, C.; Wijesinha, R.S.; Fernando, A.; de Mel, S.; Chandrasena, L.
    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.
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    Combination of cycle threshold time, absolute lymphocyte count and neutrophil:lymphocyte ratio is predictive of hypoxia in patients with SARS-CoV-2 infection
    (Royal Society of Tropical Medicine and Hygiene, 2022) Abeysuriya, V.; Seneviratne, S.L.; de Silva, A.P.; Mowjood, R.; Mowjood, S.; de Silva, T.; de Mel, P.; de Mel, C.; Chandrasena, L.; Wijesinha, R.S.; Fernando, A.; de Mel, S.
    Background: There is currently no clinically validated biomarker to predict respiratory compromise in sudden acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Cycle threshold time (Ct), absolute lymphocyte count (AL) and neutrophil:lymphocyte ratio (NLR) have been previously evaluated for this purpose. We hypothesized that the combination of these parameters at presentation may be predictive of hypoxia (oxygen saturation <92%). Methods: Data were collected on 118 patients with SARS-CoV-2 infection between May 2020 and April 2021. Demographics, clinical parameters and laboratory and radiological investigation results were recorded. Respiratory compromise (RC) was defined based on symptoms and signs, hypoxia and chest X-ray abnormalities. Results: RC occurred in 61 (51.7%) of patients. The Ct, AL and NLR at median day 3 of illness were significantly different between patients with and without RC (Ct, RC vs not: 19.46±2.64 vs 22.62±3.37, p=0.0001; AL, RC vs not: 531.49±289.09 vs 764.69±481.79, p=0.0001; NLR, RC vs not: 3.42±0.75 vs 2.59±0.55, p=0.0001). Receiver operating characteristics analysis showed that a Ct <19.9, AL <630.8×103/μL and NLR >3.12 at median day 3 of symptoms was predictive of hypoxia on day 7 of illness (area under the curve 0.805, sensitivity 96.7%, specificity 69.1%). The predictive value for the parameters combined was significantly superior to their individual predictive power. Conclusions: Ct, AL and NLR used in combination on day 3 of symptoms are predictive of hypoxia on day 7 of SARS-CoV-2 illness.
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