Related Experiment Video
Updated: Feb 3, 2026

02:28
Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients
Published on: March 1, 2024
935
Severe strongyloidiasis and systemic vasculitis: comorbidity, association or both? Case-based review
Rada Miskovic1,2, Aleksandra Plavsic3,4, Jasna Bolpacic3,4
1Clinic of Allergology and Immunology, Clinical Center of Serbia, Belgrade, Serbia. rada_delic@hotmail.com.
Rheumatology International
|October 25, 2018
Summary
This case report details a rare association between severe strongyloidiasis and polyarteritis nodosa. Despite successful treatment for strongyloidiasis, the patient succumbed to complicated pulmonary tuberculosis.
Area of Science:
- Infectious Diseases
- Rheumatology
- Gastroenterology
Background:
- The association between strongyloidiasis and systemic vasculitis is infrequently documented.
- Polyarteritis nodosa is a rare systemic vasculitis that can affect various organs.
Observation:
- A patient presented with severe strongyloidiasis confirmed by parasitic identification in gastrointestinal biopsies and stool.
- Angiography revealed findings consistent with polyarteritis nodosa in the affected patient.
Findings:
- Treatment with albendazole, ivermectin, and corticosteroid withdrawal resolved strongyloidiasis symptoms, with negative stool samples for Strongyloides stercoralis.
- The patient's clinical course was complicated by the development of pulmonary tuberculosis, which proved fatal despite treatment.
Implications:
- This case highlights the potential, though rare, link between strongyloidiasis and systemic vasculitis.
- The occurrence of opportunistic infections like tuberculosis in immunocompromised patients with strongyloidiasis warrants careful monitoring.
Keywords:
CorticosteroidsPolyarteritis nodosaStrongyloides stercoralisStrongyloidiasisSystemic vasculitisTuberculosisMore Related Videos
Related Concept Videos
Review and Preview
8.4K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview
11.3K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.3K
Association Areas of the Cortex
9.4K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
9.4K
Associative Learning
1.3K
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
Classical conditioning, also known...
1.3K
Second Order systems II
408
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
408
First Order Systems
429
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
429

