Dataset Information

Cryptococcosis in Colombia: Compilation and Analysis of Data from Laboratory-Based Surveillance.

ABSTRACT: The passive and voluntary surveillance of cryptococcosis in Colombia since 1997 has seen an increasing participating rate, revealing its importance to both in immunosuppressed and immunocompetent people. The present work details the national data gathered in 1997-2016, through a retrospective analysis of the information collected in the survey. From a total of 1974 cases reported, an overall incidence of 0.23 cases per 100,000 people was found. This incidence rose to 1.1 cases per 1000 people in the Acquired Immunodeficiency Syndrome (AIDS) population. Cryptococcosis was most common in male young adults (26-40 years), with a male:female ratio of 3.9:1 in the general population and 5.4:1 in Human Immunodeficiency Virus (HIV) patients. Culture was the most common form of diagnosis in 96.3% of cases, recovering C. neoformans species in 87.5% and C. gattii in 3.1% of samples. VNI was the most prevalent (96.1%) molecular type, while VGII predominated in C. gattii isolates (54.3%). Early mortality was reported as the outcome in 47.5% of patients. Cryptococcosis remains an important opportunistic disease in Colombia and is gaining status as a primary pathogen in apparently immunocompetent patients. Our findings show the importance of including cryptococcosis as a notifiable disease, which will allow for improving opportune diagnosis and treatment, resulting in better patient outcomes.

SUBMITTER: Escandon P

PROVIDER: S-EPMC5872335 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Cryptococcosis in Colombia: Compilation and Analysis of Data from Laboratory-Based Surveillance.

Escandón Patricia P Lizarazo Jairo J Agudelo Clara Inés CI Castañeda Elizabeth E

Journal of fungi (Basel, Switzerland) 20180301 1

The passive and voluntary surveillance of cryptococcosis in Colombia since 1997 has seen an increasing participating rate, revealing its importance to both in immunosuppressed and immunocompetent people. The present work details the national data gathered in 1997-2016, through a retrospective analysis of the information collected in the survey. From a total of 1974 cases reported, an overall incidence of 0.23 cases per 100,000 people was found. This incidence rose to 1.1 cases per 1000 people in ...[more]

PMID: 29494502

Similar Datasets

Project description:BackgroundThe re-emergence of yellow fever poses a serious public health risk to unimmunized communities in the tropical regions of Africa and South America and unvaccinated travelers visiting these regions. This risk is further accentuated by the likely spread of the virus to areas with potential for yellow fever transmission such as in Asia, Europe, and North America. To mitigate this risk, surveillance of yellow fever is pivotal. We performed an analysis of laboratory-based surveillance of yellow fever suspected cases in Cameroon during 2010-2020 to characterize the epidemiology of yellow fever cases and define health districts at high risk.MethodWe reviewed IgM capture ELISA and plaque reduction neutralization test (PRNT) test results of all suspected yellow fever patients analyzed at Centre Pasteur of Cameroon, the national yellow fever testing laboratory, during 2010-2020.ResultsOf the 20,261 yellow fever suspected patient's samples that were tested, yellow fever IgM antibodies were detected in 360 patients representing an annual average of 33 cases/year. A major increase in YF IgM positive cases was observed in 2015 and in 2016 followed by a decrease in cases to below pre-2015 levels. The majority of the 2015 cases occurred during the latter part of the year while those in 2016, occurred between February and May. This trend may be due to an increase in transmission that began in late 2015 and continued to early 2016 or due to two separate transmission events. In 2016, where the highest number of cases were detected, 60 health districts in the 10 regions of Cameroon were affected with the Littoral, Northwest and, Far North regions being the most affected. After 2016, the number of detected yellow fever IgM positive cases dropped.ConclusionOur study shows that yellow fever transmission continues to persist and seems to be occurring all over Cameroon with all 10 regions under surveillance reporting a case. Preventive measures such as mass vaccination campaigns and routine childhood immunizations are urgently needed to increase population immunity. The diagnostic limitations in our analysis highlight the need to strengthen laboratory capacity and improve case investigations.

Project description:IntroductionThe Risk Identification Unit (RIU) of the US Dept. of Agriculture's Center for Epidemiology and Animal Health (CEAH) conducts weekly surveillance of national livestock health data and routine coordination with agricultural stakeholders. As part of an initiative to increase the number of species, health issues, and data sources monitored, CEAH epidemiologists are building a surveillance system based on weekly syndromic counts of laboratory test orders in consultation with Colorado State University laboratorians and statistical analysts from the Johns Hopkins University Applied Physics Laboratory. Initial efforts focused on 12 years of equine test records from three state labs. Trial syndrome groups were formed based on RIU experience and published literature. Exploratory analysis, stakeholder input, and laboratory workflow details were needed to modify these groups and filter the corresponding data to eliminate alerting bias. Customized statistical detection methods were sought for effective monitoring based on specialized laboratory information characteristics and on the likely presentation and animal health significance of diseases associated with each syndrome.MethodsData transformation and syndrome formation focused on test battery type, test name, submitter source organization, and specimen type. We analyzed time series of weekly counts of tests included in candidate syndrome groups and conducted an iterative process of data analysis and veterinary consultation for syndrome refinement and record filters. This process produced a rule set in which records were directly classified into syndromes using only test name when possible, and otherwise, the specimen type or related body system was used with test name to determine the syndrome. Test orders associated with government regulatory programs, veterinary teaching hospital testing protocols, or research projects, rather than clinical concerns, were excluded. We constructed a testbed for sets of 1000 statistical trials and applied a stochastic injection process assuming lognormally distributed incubation periods to choose an alerting algorithm with the syndrome-required sensitivity and an alert rate within the specified acceptable range for each resulting syndrome. Alerting performance of the EARS C3 algorithm traditionally used by CEAH was compared to modified C2, CuSUM, and EWMA methods, with and without outlier removal and adjustments for the total weekly number of non-mandatory tests.ResultsThe equine syndrome groups adopted for monitoring were abortion/reproductive, diarrhea/GI, necropsy, neurological, respiratory, systemic fungal, and tickborne. Data scales, seasonality, and variance differed widely among the weekly time series. Removal of mandatory and regulatory tests reduced weekly observed counts significantly-by >80% for diarrhea/GI syndrome. The RIU group studied outcomes associated with each syndrome and called for detection of single-week signals for most syndromes with expected false-alert intervals >8 and <52 weeks, 8-week signals for neurological and tickborne monitoring (requiring enhanced sensitivity), 6-week signals for respiratory, and 4-week signals for systemic fungal. From the test-bed trials, recommended methods, settings and thresholds were derived.ConclusionsUnderstanding of laboratory submission sources, laboratory workflow, and of syndrome-related outcomes are crucial to form syndrome groups for routine monitoring without artifactual alerting. Choices of methods, parameters, and thresholds varied by syndrome and depended strongly on veterinary epidemiologist-specified performance requirements.

Dataset Information

Cryptococcosis in Colombia: Compilation and Analysis of Data from Laboratory-Based Surveillance.

Publications

Cryptococcosis in Colombia: Compilation and Analysis of Data from Laboratory-Based Surveillance.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets