47 research outputs found

    Parasitic Hypoproteinemia :A Diagnostic Dilemma in an Immuno competent Patient

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    Strongyloidiasis is caused by a nematode helminth which causes multisystem involvement with signs and symptoms related to gastrointestinal,pulmonary, dermatological and nervous system.The  index case discussed here presented with edema, hypoalbuminemia, malnutrition and anemia with urease positive duodenal ulcer.Duodenal biopsy suggested malabsorption and strongyloidiasis was detected in biopsy which clinched the diagnosis and treatment was given with ivermectin after which patient improved and responded to treatment.The importance lies in the fact that parasitic infections may cause malabsorption even in immunocompetent patients which is a rare entity, but must not be missed as it responds to treatment promptly which is cheap and effective

    Variable presentations of dengue fever with diagnostic dilemma: A case series

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    Dengue is a viral fever in humans which is caused by 4 serotypes of the flavivirus. It is spread by the bite of the infected Aedes mosquitoes. The acute febrile illness is often associated with multisystem involvement with complications. The case series presented here depicts atypical manifestations of dengue which may present with hypoplastic anemia, hepatitis, pancreatitis, and encephalopathy. The cases were diagnosed based on history of dengue with subsequent persistence of pancytopenia, presence of hepatitis, pancreatitis, and encephalopathy with serological evidence of dengue and after ruling out other possible etiologies supported by laboratory evidence of investigations. The bone marrow revealed pancytopenia with hypocellular marrow causing hypoplastic anemia, transaminitis and rise of lipase and amylase with symptoms diagnosed hepatitis, pancreatitis, and finally impairment of consciousness with electroencephalogram proved encephalopathy. The importance of the case series lies in the fact that atypical manifestations may occur in dengue patients challenging the physicians and early detection may avoid unnecessary treatment and complications

    Structural equation models for meta-analysis in environmental risk assessment

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    The potential of structural equation models for combining information from different studies in environmental epidemiology is explored. For illustration we synthesize data from two birth cohorts assessing the effects of prenatal exposure to methylmercury on childhood cognitive performance. One cohort was the largest by far, but a smaller cohort included superior assessment of the PCB exposure which has been considered an important confounder when estimating the mercury effect. The data were analyzed by specification of a structural equation model for each cohort. Information was then pooled based on a joint likelihood function with key parameters constrained to be equal in the different models. Modeling assumptions were chosen to obtain a meaningful biological interpretation of the joint effect parameters. Measurement errors in mercury variables were taken into account by viewing observed variables as indicators of latent variables. Adjustments for measurement error were also included for confounder variables. In particular, this example illustrates how to properly utilize that one study provided superior information about a confounder. A final more advanced model pooled information across different outcomes to gain power and to avoid multiple testing problems. In this model, the mercury effect remained statistically significant, while the effect of PCB was less certain
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