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1.
Am J Med ; 137(7): 658-665, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38499135

ABSTRACT

BACKGROUND: Adults presenting with a neutrophil-predominant leukocytosis (white cell count >50,000/µL) often necessitate urgent medical management. These patients are diagnosed with either acute presentations of chronic myeloid malignancies or leukemoid reactions, yet accurate models to distinguish between these entities do not exist. We used demographic and lab data to build a machine learning model capable of discriminating between these diagnoses. METHODS: The medical record at a tertiary care medical center was queried to identify adults with instances of white counts greater than 50,000/µL and >50% neutrophils from 2000 to 2021. For each patient, a full set of demographic and lab values were extracted at the time of their first presentation with a white count >50,000/µL. We generated a series of models in which the parameters most predictive of myeloid malignancies were identified, and a supervised machine learning approach was applied to the dataset. RESULTS: Our best model-using a support vector machine algorithm-produced a sensitivity of 96% and a specificity of 95.9% (area under the curve = 0.982) for identifying myeloid malignancies. We also identified a clinically meaningful and significant disparity in outcomes based on diagnosis-a 6-fold increase in 12-month mortality in those diagnosed with leukemoid reactions. CONCLUSIONS: These findings need to be validated but fill an unmet need for timely and accurate diagnosis in the setting of profound, neutrophil-predominant leukocytosis and support the use of predictive models as a means to improve patient outcomes.


Subject(s)
Algorithms , Leukemoid Reaction , Myeloproliferative Disorders , Humans , Leukemoid Reaction/diagnosis , Male , Female , Middle Aged , Myeloproliferative Disorders/diagnosis , Diagnosis, Differential , Aged , Leukocyte Count , Adult , Leukocytosis , Machine Learning , Neutrophils , Sensitivity and Specificity , Support Vector Machine , Retrospective Studies
2.
J Neurosurg Case Lessons ; 6(1)2023 Jul 03.
Article in English | MEDLINE | ID: mdl-37392764

ABSTRACT

BACKGROUND: Cerebral meningiomas and brain abscesses are common independently, but intrameningioma abscesses rarely occur, with only 15 cases in the literature. These abscesses most frequently develop in patients with a known source of bacteremia; only one case of intrameningioma abscess without a known source of infection has been reported previously. OBSERVATIONS: This is the second reported case of an intrameningioma abscess without a clear source of infection, occurring in a 70-year-old female with a history of transsphenoidal craniopharyngioma resection and radiation many years prior. She presented with severe fatigue and altered mental status initially ascribed to adrenal insufficiency, and magnetic resonance imaging showed a new heterogeneously enhancing left temporal mass with surrounding edema. After urgent tumor resection, pathology demonstrated a World Health Organization grade II meningioma (radiation induced). After a course of steroids and intravenous nafcillin, the patient recovered without neurological deficits. LESSONS: The natural history of intrameningioma abscesses is not fully understood. These uncommon lesions can form secondary to hematogenous spread facilitated by meningiomas' robust vascularization, typically in patients with bacteremia. Even when no significant source of infection is identified, the differential diagnosis of intrameningioma abscess should be considered because this pathology can be rapidly progressive, even fatal, but is treatable if recognized promptly.

3.
J Neuroimmune Pharmacol ; 18(1-2): 24-40, 2023 06.
Article in English | MEDLINE | ID: mdl-35059975

ABSTRACT

HIV-associated neurocognitive disorder (HAND) is a common complication of HIV infection, whose development is known to be facilitated by inflammation and exacerbated by morphine. Previously, using the gp120 transgenic (tg) mouse model in combination with LP-BM5 (a murine retrovirus that can cause systemic immunodeficiency in susceptible mouse strains) we demonstrated differential gp120-associated central nervous system (CNS) neuroinflammatory responses under immunocompetent (-LP-BM5) vs. immunocompromised (+LP-BM5) conditions. Here, we further investigated the effects of morphine on gp120-associated neuroinflammatory response within the hippocampus under differential immune status. First, we confirmed that morphine treatment (2 × 25 mg pellets) did not significantly affect the development of immunodeficiency induced by LP-BM5 and all brain regions examined (hippocampus, striatum, and frontal lobe) had detectable LP-BM5 viral gag genes. Morphine notably reduced the performance of gp120tg+ mice in the alteration T-maze assay when 2-minute retention was used, regardless of LP-BM5 treatment. Morphine further enhanced GFAP expression in gp120tg+ mice regardless of host immune status, while promoted CD11b expression only in immunocompetent mice, regardless of gp120tg expression. In immunocompetent gp120tg+ mice, morphine increased the RNA expression of CCL2, CCL5, CXCL10, IL-12p40, and IFNß; while under the immunodeficient condition, morphine downregulated the expression of CCL2, CCL5, CXCL10, IL-12p40, and IL-1ß. Further, expression of TNFα and IFNγ were enhanced by morphine regardless of host immune status. Altogether, our results suggest that the effects of morphine are complex and dependent on the immune status of the host, and host immune status-specific, targeted anti-neuroinflammatory strategies are required for effective treatment of HAND.


Subject(s)
HIV Infections , Murine Acquired Immunodeficiency Syndrome , Mice , Animals , Morphine/pharmacology , Interleukin-12 Subunit p40/therapeutic use , Neuroinflammatory Diseases , Mice, Transgenic , Mice, Inbred C57BL
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