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1.
Pituitary ; 2024 Jul 29.
Artículo en Inglés | MEDLINE | ID: mdl-39073696

RESUMEN

BACKGROUND AND OBJECTIVES: Marked changes in the hypothalamic-pituitary axis have been documented in patients with traumatic brain injury (TBI). These enduring endocrine challenges could significantly influence the physical and psychological outcomes thereby impacting overall recovery. This study aimed to determine the prevalence and types of endocrine dysfunction in men with chronic TBI and to determine the association of endocrine dysfunction with clinical outcomes. METHODOLOGY: A cross-sectional study that included male participants of 25-45 years (N = 66) with moderate to severe TBI within 6-24 months of injury. Serum Cortisol, Free T4, TSH, Luteinizing hormone, Testosterone, ACTH, Prolactin and IGF-1 were assessed. Glasgow Outcome Scale Extended (GOS-E) and Modified Barthel Index (MBI) scores were also assessed in them. RESULTS: The study cohort comprised male patients with a mean ± age of 32.8 ± 5.7 years. Low IGF-1 levels were most commonly encountered, followed by hypogonadism. Hypopituitarism was present in 56.1%. The proportion of hypogonadism was significantly higher in the group with moderate-total dependence (13/26) as compared to the functionally independent (8/40) group (50% vs. 20%; P = 0.011). Univariate and multivariate logistic regression analysis was used to determine the factors associated with hypopituitarism, revealing that severity of injury (OR = 2.6;) and GOS-E (OR = 3.1) were significant (P < 0.10) on univariate analysis. CONCLUSIONS: This study emphasizes the need to screen TBI patients for neuroendocrine dysfunction during the chronic phases and to establish screening criteria.

2.
Am J Phys Med Rehabil ; 100(11): e172-e174, 2021 11 01.
Artículo en Inglés | MEDLINE | ID: mdl-34001836

RESUMEN

ABSTRACT: Acquired focal visuoperceptual deficits are rarely reported, and rehabilitation strategies are not well established. This is a report on visuoperceptual deficit after traumatic brain injury that initially went unnoticed. Missing visual agnosia is not unusual especially when perceptual deficits present with visual field defects, impaired insight, and inattention. This case is made more interesting because of the rarity of visual agnosia with predominant ventral pathway involvement, affecting object and face recognition. This report provides a brief discussion on visual agnosia spectrum deficits and rehabilitation measures.


Asunto(s)
Agnosia/rehabilitación , Lesión Encefálica Crónica/rehabilitación , Rehabilitación Neurológica , Percepción Visual , Adolescente , Agnosia/etiología , Lesión Encefálica Crónica/complicaciones , Femenino , Humanos , Ilustración Médica , Pruebas Neuropsicológicas
3.
Indian J Endocrinol Metab ; 25(6): 509-515, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-35355904

RESUMEN

Background and Aims: The measuring tools used for assessment of neuropathy include various questionnaires, monofilament testing, Biothesiometry and the gold standard test, nerve conduction studies (NCS). This study aims to evaluate the diagnostic accuracies of Michigan Neuropathy Screening Instrument (MNSI), Biothesiometry, Semmes Weinstein Monofilament (SWMF), Sural Radial Amplitude Ratio (SRAR) and minimal F wave latency as compared to conventional NCS and arrive at a simple diagnostic algorithm for early detection of Diabetic Peripheral Neuropathy (DPN). Methods: In a cross-sectional observational study on 48 Type 2 diabetes mellitus patients, MNSI, Biothesiometry, SWMF and NCS including F waves and SRAR were done and diagnostic accuracies (sensitivity, specificity, positive and negative predictive values) calculated taking NCS as gold standard. Results: MNSI, Biothesiometry, SWMF, SRAR and minimal F wave latency had a sensitivity of 64.3%, 78.6%, 14.3%, 100% and 78.6% and specificity of 67.7%, 52.9%, 94.1%, 23.53% and 76.47% respectively, with reference to NCS. Based on combined sensitivities and specificities, we arrived at a simple algorithm for early diagnosis of DPN, which showed that DPN could either be diagnosed or ruled out in 75% of the patients by a combination of the Biothesiometry, SRAR and left lower limb minimal F wave latency results. Conclusions: In the setting of an outpatient, multidisciplinary diabetic clinic, simple tests such as questionnaires, monofilament testing and biosthesiometer could be performed with greater ease while considering NCS as the gold standard. This algorithm, combining Biothesiometry, SRAR and left lower limb minimal F wave latency would be less time consuming and help in early diagnosis of DPN.

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