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Cryptococcosis diagnosis and treatment: What do we know now.

ABSTRACT: Cryptococcosis has evolved into a major invasive fungal disease over the last century. Its primary epidemiology has been focused on three major outbreaks of disease that reflects both changing environmental exposures and growth of host risk factors. The molecular understandings of yeast pathobiology have been bolstered by identification of the yeast's dynamic genomic structures and functions. It is during these new insights into epidemiology and pathobiology that we have also improved our diagnosis of this infection with a new point-of-care, simple, cheap test which utilizes a lateral flow assay for antigen detection. With methods for effective identification of Cryptococcus in the host, the principles for management of this deadly infection include both use of old drugs and new insights into treatment strategies to improve outcome. In this review there are a series of recent insights, opinions, and facts which attempt to summarize our present knowledge base for this deadly fungal central nervous system infection with a particular emphasis on its diagnosis and management.

SUBMITTER: Perfect JR

PROVIDER: S-EPMC4395512 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature

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Cryptococcosis diagnosis and treatment: What do we know now.

Perfect John R JR Bicanic Tihana T

Fungal genetics and biology : FG & B 20141013

Cryptococcosis has evolved into a major invasive fungal disease over the last century. Its primary epidemiology has been focused on three major outbreaks of disease that reflects both changing environmental exposures and growth of host risk factors. The molecular understandings of yeast pathobiology have been bolstered by identification of the yeast's dynamic genomic structures and functions. It is during these new insights into epidemiology and pathobiology that we have also improved our diagno ...[more]

PMID: 25312862

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Project description:Background and objectiveArtificial intelligence (AI) use is becoming increasingly prevalent directly or indirectly in daily clinical practice, including esophageal cancer (EC) diagnosis and treatment. Although the limits of its adoption and their clinical benefits are still unknown, any physician related to EC patients' management should be aware of the status and future perspectives of AI use in their field. The purpose of this review is to summarize the existing literature regarding the role of AI in diagnosis and treatment of EC. We have focused on the aids AI entails in the management of this pathology and we have tried to offer an updated perspective to maximize current applications and to identify potential future uses of it.MethodsData concerning AI applied to EC diagnosis and treatment is not limited, including direct (those specifically related to them) and indirect (those referring to other specialties as radiology or pathology), applications. However, the clinical relevance of the discussed and presented models is still unknown. We performed a research in PubMed of English and Spanish written studies from January 1970 to June 2022.Key content and findingsInformation regarding the role of AI in EC diagnosis and treatment has increased exponentially in recent years. Several models, including different variables and features have been investigated and some of them internally and externally validated. However, the main challenge remains to apply and introduce all these data into clinical practice, and, as some of the discussed studies argue, if the models are able to enhance experienced endoscopists' judgement. Although AI use is increasing steadily in different medical specialties, the truth is, most of the time, the gap between model development and clinical implementation is not closed. Learning to understand the routinely application of AI, as well as future improvements, would lead to a broadened adoption.ConclusionsPhysicians should be aware of the multiple current clinical uses of AI in EC diagnosis and treatment and should take part in their clinical application and future developments to enhance patient care.

Project description:BackgroundCryptococcosis is one of the most common life-threatening opportunistic mycoses worldwide. Insidious presentation and slow onset of symptoms make it difficult to recognize, complicating the diagnostic process. Delays in diagnosis may lead to increased mortality. We aim to determine the frequency of missed opportunities for diagnosis of cryptococcosis and its effects on mortality.MethodsTo estimate the proportion of individuals with a potentially missed diagnosis for cryptococcosis in hospitalized patients, we conducted a retrospective cohort study using the Healthcare Cost and Utilization Project State Inpatient Databases from 2005 to 2015 from eight states. All hospitalized adult patients diagnosed with cryptococcal infection or cryptococcal meningitis were included. Potentially missed diagnoses were defined as admissions coded for a procedure or diagnosis suggestive of cryptococcosis in the 90-days prior to the initial cryptococcosis admission. Generalized estimating equations models were used to evaluate the association between underlying comorbidities and potential missed diagnosis of cryptococcosis and 90-day all-cause in-hospital mortality.FindingsOf 5,354 patients with cryptococcosis, 2,445 (45·7%) were people living with HIV (PLWH). Among PLWH, 493/2,445 (20·2%) had a potentially missed diagnosis, of which 83/493 (16·8%) died while hospitalized compared with 265/1,952 (13·6%) of those without a potentially missed diagnosis (relative risk [RR] 1·04, 95% CI 0·99-1·09). Among HIV-negative patients, 977/2,909 (33·6%) had a potentially missed diagnosis, of which 236/977 (24·2%) died while hospitalized compared with 298/1,932 (15·4%) of those not missed (RR 1·12, 95% CI 1·07-1·16).InterpretationMissed opportunities to diagnose cryptococcosis are common despite highly efficacious diagnostic tests and are associated with increased risk of 90-day mortality in HIV-negative patients. A high index of clinical suspicion is paramount to promptly diagnose, treat, and improve cryptococcosis-related mortality.FundingNational Center for Advancing Translational Sciences, Washington University Institute of Clinical and Translational Sciences, and the Agency for Healthcare Research and Quality.

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Cryptococcosis diagnosis and treatment: What do we know now.

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Cryptococcosis diagnosis and treatment: What do we know now.

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