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1.
Immunol Res ; 2024 Aug 12.
Artículo en Inglés | MEDLINE | ID: mdl-39134800

RESUMEN

Dysautonomia is an abnormal clinical state with multiple etiologies, including autoimmunity. Antiphospholipid antibodies (aPL) are among the autoantibodies that have been associated with autonomic dysfunction. We have observed that an elevated total serum IgM appears to be associated with the presence of aPL in dysautonomia patients. This is a retrospective study analyzing the clinical characteristics of 45 consecutive patients with cardiac autonomic dysfunction and a persistently elevated total serum IgM. 93% of patients were female with a mean age of 32.7 years. Most patients had severely disabling disease, with a mean Karnofsky-like functional ability score of 42% (normal 100%). 93% of patients tested persistently positive for one or more aPL and all patients tested persistently positive for aPL and/or Sjogren's antibodies. No patient had lupus specific antibodies. One third of patients experienced one or more thrombotic events and 58% of patients attempting pregnancy experienced pregnancy morbidity. Lastly, 78% of aPL-positive patients treated with antithrombotic therapy experienced 50 to 100% improvement in one or more symptoms (e.g., migraine, cognitive dysfunction) recognized to be responsive to antithrombotic therapy in a subset of aPL-positive patients and 73% of patients treated with and tolerating immune modulatory therapy experienced a positive response. We propose total serum IgM as a reliable and inexpensive test that can be used to identify dysautonomia patients at risk for persistent aPL-positivity. These patients are important to identify as they have a significant risk for thrombosis and pregnancy morbidity and often experience significant symptomatic improvement with antithrombotic therapy and/or immune modulatory therapy.

2.
J Child Adolesc Psychopharmacol ; 33(9): 356-364, 2023 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-37902790

RESUMEN

Objective: Pediatric acute-onset neuropsychiatric syndrome (PANS) presents with abrupt neuropsychiatric symptoms, often after an immunologic trigger. A 2017 survey of 698 subjects found diagnostic delays to be associated with recurrences, suggesting that timely care impacts course. This secondary analysis explores the impact of barriers to care on symptom persistence. Methods: A 146-question online survey gathered history, symptomatology, intervention, and outcome data from subjects with PANS. Multivariate analyses examined associations between symptom persistence over the entire reported disease course, measured as % days symptom-free over reporting periods averaging approximately 4 years, and access-to-care history, reflected in availability of medical expertise and affordability of care. The impacts of time from symptom onset to treatment and effectiveness of initial antibiotics were also examined. Results: Among the 646 subjects analyzed, greater symptom persistence was associated with longer intervals between symptom onset and treatment (F = 4.43, p = 0.002). Thirty-four percent of subjects with the least symptom persistence (>75% symptom-free days), versus 13% of those with the most (symptoms every day), had been diagnosed by the first practitioner seen (likelihood ratio [L-R] χ2 = 36.55, p < 0.0001, for comparison across all groups). Diagnosis and treatment had not been impeded by lack of access to expertise for 52% of subjects with the least persistent symptoms, versus 22% of those with the most (L-R χ2 = 22.47, p < 0.0001). Affordability had not impacted diagnosis and treatment for 76% of subjects with the least persistent symptoms, versus 42% of those with the most (L-R χ2 = 27.83, p < 0.0001). The subjects whose PANS symptoms resolved with antibiotic treatment of the inciting infection experienced less symptom persistence than others (χ2 = 23.27, p = 0.0001). More persistently symptomatic subjects were more likely to have discontinued intravenous immunoglobulin (IVIG) treatment for access-to-care reasons. Conclusions: Unimpeded access to care for PANS is associated with more symptom-free days over reporting periods averaging approximately 4 years. Difficulty reaching expert providers, missed opportunities for diagnoses, and financial limitations may worsen outcomes. Practitioners, particularly primary providers, should adhere to published diagnostic and treatment guidelines promptly upon presentation.


Asunto(s)
Enfermedades Autoinmunes , Trastorno Obsesivo Compulsivo , Infecciones Estreptocócicas , Niño , Humanos , Enfermedades Autoinmunes/diagnóstico , Trastorno Obsesivo Compulsivo/diagnóstico , Progresión de la Enfermedad , Infecciones Estreptocócicas/diagnóstico , Antibacterianos/uso terapéutico , Accesibilidad a los Servicios de Salud
3.
J Child Adolesc Psychopharmacol ; 33(9): 365-377, 2023 11.
Artículo en Inglés | MEDLINE | ID: mdl-37902971

RESUMEN

Objective: Individuals with Pediatric Acute Onset Neuropsychiatric Syndrome (PANS) experience neuropsychiatric symptoms following an infection or other trigger. Although PANS is typically described as relapsing-remitting, a large community-based 2017 study revealed a range of courses. The present study examined clinical predictors of symptom persistence, measured as % days symptom-free, in this same sample. Methods: A 146-question online survey gathered histories (infections and other triggers, medical and developmental comorbidities), symptomatology, interventions, and outcomes (including school functioning) of PANS patients. Multivariate analyses were applied to examine associations between these variables and % days symptom-free across the disease course. Results: Among the 646 subjects included, significant relationships were found between greater symptom persistence and higher rates of medical comorbidities (especially rashes, headaches, chronic sinusitis, frequent diarrhea, and immune deficiencies), developmental diagnoses, and respondent-perceived developmental lags. Subjects with greater symptom persistence were significantly more likely to report PANS exacerbations associated with infections in close contacts, vaccinations, environmental triggers, and exacerbations of comorbidities and were more likely to report PANS recurrences triggered by Epstein Barr Virus, mycoplasma, and sinus infections. More persistent PANS was also associated with significantly higher frequencies of certain symptoms (sleep disturbance, urinary incontinence, muscle pain, brain fog, sensory defensiveness, irritability, and aggression-related symptoms), less effectiveness of intravenous immunoglobulin in combating symptoms, and more difficulty attending school. Conclusions: Our results suggest high symptom persistence in PANS to be associated with more pervasive medical and neuropsychiatric symptoms. Differences in symptom persistence are associated with both intrinsic (e.g., immune competence) and extrinsic (e.g., infections, treatment) factors. Because extrinsic factors are potentially modifiable, it is critical that providers be aware of current guidelines on PANS evaluation and treatment.


Asunto(s)
Enfermedades Autoinmunes , Infecciones por Virus de Epstein-Barr , Trastorno Obsesivo Compulsivo , Infecciones Estreptocócicas , Niño , Humanos , Inmunoglobulinas Intravenosas/uso terapéutico , Infecciones por Virus de Epstein-Barr/complicaciones , Herpesvirus Humano 4 , Trastorno Obsesivo Compulsivo/diagnóstico , Enfermedades Autoinmunes/diagnóstico , Infecciones Estreptocócicas/diagnóstico
4.
Ther Innov Regul Sci ; 54(1): 69-74, 2020 01.
Artículo en Inglés | MEDLINE | ID: mdl-32008227

RESUMEN

BACKGROUND: Delays in clinical trial enrollment and difficulties enrolling representative samples continue to vex sponsors, sites, and patient populations. Here we investigated use of an artificial intelligence-powered technology, Mendel.ai, as a means of overcoming bottlenecks and potential biases associated with standard patient prescreening processes in an oncology setting. METHODS: Mendel.ai was applied retroactively to 2 completed oncology studies (1 breast, 1 lung), and 1 study that failed to enroll (lung), at the Comprehensive Blood and Cancer Center, allowing direct comparison between results achieved using standard prescreening practices and results achieved with Mendel.ai. Outcome variables included the number of patients identified as potentially eligible and the elapsed time between eligibility and identification. RESULTS: For each trial that enrolled, use of Mendel.ai resulted in a 24% to 50% increase over standard practices in the number of patients correctly identified as potentially eligible. No patients correctly identified by standard practices were missed by Mendel.ai. For the nonenrolling trial, both approaches failed to identify suitable patients. An average of 19 days for breast and 263 days for lung cancer patients elapsed between actual patient eligibility (based on clinical chart information) and identification when the standard prescreening practice was used. In contrast, ascertainment of potential eligibility using Mendel.ai took minutes. CONCLUSIONS: This study suggests that augmentation of human resources with artificial intelligence could yield sizable improvements over standard practices in several aspects of the patient prescreening process, as well as in approaches to feasibility, site selection, and trial selection.


Asunto(s)
Inteligencia Artificial , Ensayos Clínicos como Asunto , Neoplasias , Selección de Paciente , Humanos , Neoplasias/tratamiento farmacológico , Tiempo
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