C-reactive protein: An easy marker for early differentiation between leptospirosis and dengue fever in endemic area.

In tropical regions, leptospirosis and dengue fever (DF) are infectious diseases of epidemiological importance and have overlapping symptomatic features. The objective of this study was to identify the factors associated to diagnosing leptospirosis that differentiate it to DF at the initial hospital evaluation. A multicenter retrospective study was conducted comparing confirmed leptospirosis to DF cases. Clinical/laboratory findings were compiled at hospital admission on Reunion Island between 2018 and 2019. Multivariable logistic regression was used to identify the predictors of leptospirosis. In total, 98 leptospirosis and 673 DF patients were included with a mean age of 47.8 (±17.1) and 48.9 (±23.3) years, respectively. In the multivariate analyses, the main parameters associated with leptospirosis were: i) increased neutrophil counts, ii) C-reactive protein values, iii) the absence of prolonged partial thromboplastin time, and iv) a decrease of platelets. The most discriminating parameter was C-reactive protein (CRP). With a threshold of 50mg/L, CRP taken alone had a sensitivity of 94% and a specificity of 93.5%. The positive and negative likelihood ratios were 14.5 and 0.06, respectively. In the setting of an early presumptive diagnosis, we found that an increased CRP value (>50 mg/L) could help diagnose leptospirosis and aid the decision process for hospital surveillance and/or a potential antibiotic treatment regimen.

Ocular leptospirosis: lack of awareness among ophthalmologists and challenges in diagnosis.

PURPOSE OF REVIEW: Systemic leptospirosis exists worldwide. But leptospiral uveitis, an important late complication is not identified by ophthalmologists in several countries. RECENT FINDINGS: In the last 18 months numerous publications, especially on epidemiology, surveillances, and novel rapid diagnostic kits to test at the point of care site on leptospirosis have been published from all over the world. However, publications from ophthalmologists are very scarce. Remarkably ophthalmologists should know the global burden of leptospirosis, prevalence of the disease in their country, demographic factors associated, risk factors, and systemic signs to elicit relevant history and travel history. They should be aware of recent advances in investigations to confirm their clinical diagnosis. SUMMARY: It is quite evident from this work that leptospirosis is prevalent worldwide. Ophthalmologists' awareness has to improve to identify the etiological diagnosis. They should have access to simple, less expensive, and less cumbersome laboratory tests.

Emerging canine leptospirosis in Sydney and the role of population demographics.

An outbreak of canine leptospirosis commenced in Sydney, Australia in 2017. The aim of this retrospective study was to determine if clusters of leptospirosis occurred during this outbreak, and if these were associated with host factors, to assist investigation of the drivers of emerging leptospirosis at this location. Within the City of Sydney local government area, 13 cases were reported during the outbreak. Administrative data on the canine population were collected and mapped. Clusters of leptospirosis cases were detected using a retrospective space-time analysis and a discrete Poisson probability statistical model. Sydney dog population registration [55.6%, 95% confidence interval (CI) 51.8-58.1%] was lower than the Australian national average (80%). The distribution of dog types, based on the United Kennel Club standards, was significantly (p < .0001) different to that of the national profile: there was a distinct preference in Sydney for companion dogs. The age distribution of dogs in Sydney did not reflect a typical right-skewed curve; instead, a relatively uniform distribution was observed between the age group of 1 to 8 years. A primary disease cluster (radius 1.1 km) in the eastern area of the Sydney City Council was identified (4 cases observed between 24 May and 9 August 2019 vs. 0.10 cases expected), p = .0450. When adjusted for the age, breed type and sex distribution of the population, similar clusters were identified; in the case of age-adjustment, the spatiotemporal cluster identified was larger and of longer duration (seven cases observed between 28 June and 11 November 2019 versus 0.34 cases expected), p = .0025. The presence of clusters of canine leptospirosis in the City of Sydney during this outbreak, which persisted after adjustment for demographics (age, sex, breed type), suggest that environmental factors - rather than host or pathogen factors - might be responsible for the emergence of leptospirosis. Environmental factors that potentially might be linked to this outbreak of canine leptospirosis and the clusters observed require investigation.

Impact of Plantation Induced Forest Degradation on the Outbreak of Emerging Infectious Diseases-Wayanad District, Kerala, India.

The world has been facing a pandemic owing to COVID-19. We have also seen the geographic expansion and outbreaks of other emerging infectious diseases (EID) in recent years. This paper investigates the direct and indirect effects of land use land cover change (LULCC) on EID outbreaks in the context of Wayanad District of Kerala, India. Wayanad is in the vulnerable tropical forested region, and it is named as one of the four environmental change hotspots. The focus of this project is mainly three EIDs prevalent in this region: Kyasanur forest disease (KFD), Dengue and Leptospirosis. Our results, based on topographical map, remote sensing and extensive field work, show that the natural forest in Wayanad was replaced with agriculture and forest plantation during 1950-2018. This paper further suggests that encroachment of forest by forest plantation causes the human-animal conflict resulting in the outbreak of KFD cases. Our analysis reveals that a high number of Dengue cases is found in the forested regions of the district and over the adjacent human-made agriculture plantation areas. High and medium number of Leptospirosis cases contain a high portion of land area devoted to paddy cultivation and agricultural plantation. In summary, the results clearly show the linkage between the outbreak of above mentioned EIDs and LULCC in the context of Wayanad district, Kerala. We also discuss in detail the causal pathway involving human-environmental dynamics through which plantation leads to the outbreak of KFD. Replacing forests with plantations poses an alarming threat of disease outbreak in the community.

Coinfection of leptospirosis and coronavirus disease 2019: A retrospective case series from a coastal region in South India.

During the monsoon season of 2020, the coastal areas of South India were endemic to both leptospirosis and coronavirus disease 2019 (COVID-19). This study aimed to investigate the clinical features and outcomes of patients infected with both infections. A retrospective review of charts of all patients with COVID-19 who were also diagnosed with leptospirosis by immunoglobulin M enzyme-linked immunosorbent assay was undertaken. The clinical features, laboratory report, treatment details, and outcomes of all the included patients were recorded. The collected data were summarized as the frequency with percentage for categorical data and the mean or median for continuous data. Twenty-four cases of coinfections were admitted between July and November 2020. Most of these patients were categorized as severe COVID-19 (n = 15, 62.5%). Acute kidney injury was seen in 79.2% (n = 19) patients, while raised bilirubin was present in 79.2% (n = 19) of the patients. All patients had raised C-reactive protein, while all but one had raised procalcitonin. Thrombocytopenia, leucocytosis, and leukocytopenia were seen in 91.7% (n = 22), 45.8% (n = 11), and 12.5% (n = 3) of the patients. The median duration of hospital stay was 11 (8.25-15) days. A total of 79.2% (n = 19) of the patients improved and were discharged, while 20.8% (n = 5) died during the hospital stay. In conclusion, patients with fever and atypical manifestations such as hepatic dysfunction, renal dysfunction, and thrombocytopenia should be evaluated for leptospirosis even if they are COVID positive.

Assessment of the Current Surveillance System for Human Leptospirosis in Ecuador by Decision Analytic Modeling.

Leptospirosis is a globally disseminated zoonotic disease with no national surveillance systems. On the other hand, surveillance is crucial for improving population health, and surveillance systems produce data that motivates action. Unfortunately, like many other countries, Ecuador put in place a monitoring system that has never been tested. The goal of this study was to use scenario tree modeling to assess the sensitivity of Ecuador's current national surveillance system to human leptospirosis as the basis for an economic assessment of the system. We created a decision-tree model to analyze the current system's sensitivity. The inputs were described as probabilities distributions, and the model assessed the program's sensitivity as an output. The model also considers the geographical and weather variations across Ecuador's three continental regions: Andean, Amazonia, and the Coast. Several data sources were used to create the model, including leptospirosis records from Ecuador's Ministry of Public Health, national and international literature, and expert elicitation, all of which were incorporated in a Bayesian framework. We were able to determine the most critical parameters influencing each scenario's output (CSU) sensitivity through sensitivity analysis. The Coast region had the best sensitivity scenario, with a median of 0.85% (IC 95% 0.41-0.99), followed by the Amazonia with a median of 0.54% (CI 95% 0.18-0.99) and the Andes with a median of 0.29% (CI 95% 0.02-0.89). As per the sensitivity study, the most influential criteria on the system's sensitivity were "Attendance or probability of going to a health center" and "probability of having symptoms," notably for the Coast and Amazonia Regions.

Neglecting the neglected during the COVID-19 pandemic: the case of leptospirosis in Sri Lanka.

The coronavirus disease 2019 (COVID-19) pandemic has disrupted global health systems and affected the transmission dynamics as well as the surveillance of other infectious diseases. This study described the probable effect of the COVID-19 pandemic on the surveillance and control of leptospirosis in Sri Lanka. With 8,579 reported cases and more than 800 estimated deaths, the Sri Lankan public health surveillance system documented the largest outbreak of leptospirosis in Sri Lankan history in 2020. This was the worst infectious disease outbreak Sri Lanka experienced in 2020, but it was neglected, primarily due to the COVID-19 pandemic.

Dengue and leptospirosis infection during the coronavirus 2019 outbreak in Sri Lanka.

A significant decrease in dengue fever cases and a contrasting increase in leptospirosis cases were reported for the second quarter of 2020 compared with 2019 in Sri Lanka. In the absence of significant environmental and weather-related differences to account for these changes in incidence, we investigated the possibility that the effects of the COVID-19 pandemic on public health, social behaviour and the restrictions imposed during the lockdown influenced the fluctuations in dengue and leptospirosis infections.