2016
DOI: 10.1093/cid/ciw356
|View full text |Cite
|
Sign up to set email alerts
|

Understanding Toxoplasmosis in the United States Through “Large Data” Analyses

Abstract: Background. Toxoplasma gondii infection causes substantial morbidity and mortality in the United States, and infects approximately one-third of persons globally. Clinical manifestations vary. Seropositivity is associated with neurologic diseases and malignancies. There are few objective data concerning US incidence and distribution of toxoplasmosis.Methods. Truven Health MarketScan Database and International Classification of Diseases, Ninth Revision (ICD-9) codes, including treatment specific to toxoplasmosis… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

4
35
1

Year Published

2017
2017
2022
2022

Publication Types

Select...
8
1

Relationship

2
7

Authors

Journals

citations
Cited by 42 publications
(40 citation statements)
references
References 35 publications
4
35
1
Order By: Relevance
“…In a similar study in Unites States, more females than males were identified with toxoplasmosis, respectively, 59% vs 41% of the total number of cases. The number of male to female cases was most similar at early age, became increasingly different with age, toward increased incidence in females (Lykins et al, 2016). These results correspond to those observed in the present study where no difference in seroprevalence by age and gender was observed, except at age from 25 to 44 years when females had significantly higher seroprevalence than in males.…”
Section: Discussionsupporting
confidence: 91%
See 1 more Smart Citation
“…In a similar study in Unites States, more females than males were identified with toxoplasmosis, respectively, 59% vs 41% of the total number of cases. The number of male to female cases was most similar at early age, became increasingly different with age, toward increased incidence in females (Lykins et al, 2016). These results correspond to those observed in the present study where no difference in seroprevalence by age and gender was observed, except at age from 25 to 44 years when females had significantly higher seroprevalence than in males.…”
Section: Discussionsupporting
confidence: 91%
“…These results correspond to those observed in the present study where no difference in seroprevalence by age and gender was observed, except at age from 25 to 44 years when females had significantly higher seroprevalence than in males. This might be explained by screening of women of reproductive age, or could potentially indicate a difference in risk of exposure to the pathogen (Lykins et al, 2016). Indeed, the present study identified almost 70% of patient as cases classified as factors influencing health status or suggesting past contact with health services, which includes also monitoring of normal pregnancy.…”
Section: Discussionmentioning
confidence: 68%
“…Because our sample was on average approximately ten years older, there could have been a higher death rate in the seropositive group compared to the seronegative group resulting in a loss of those subjects with potential memory deficits associated with T. gondii seropositivity. In this regard, we note that T. gondii seropositivity has been negatively associated with health status, particularly related to immune and digestive disorders (Flegr and Escudero, 2016, Flegr, et al, 2014) and has been associated with morbidity and mortality (Lykins, et al, 2016). Also, because we excluded participants with a diagnosis of dementia, the key feature of which is often memory impairment, we may have had a sample biased towards average memory performance.…”
Section: Discussionmentioning
confidence: 99%
“…This database has been used previously for ophthalmic studies as well as for studies of geographic variation in physician practice patterns. 18,19 The MarketScan database comprises longitudinal patient claims data, with a follow-up period that extends until a patient discontinues insurance (i.e., becomes uninsured, changes commercial insurers, or transitions to Medicare). The database includes patient-level demographic information, diagnosis and procedural codes for each patient encounter with a health care provider, and billing codes.…”
Section: Data Source and Sample Selectionmentioning
confidence: 99%