Motor neuron disease in blacks

A series of 86 black, Indian and white patients with motor neuron disease were analysed retrospectively. Although the material does not allow statistically valid conclusions, there are sufficient cases among blacks to allow two prima facie observations in this population group: (i) motor neuron disease has an earlier age of onset than in whites and Indians; and (ii) more patients come from peripheral and rural areas than would be expected in prevailing circumstances.S Af Med J 1989; 76: 155-15

Problems in the optimal management of myasthenia gravis patients - A prospective clinical survey at Kalafong hospital

Objectives. This study forms part of a clinical survey of problems in the optimal management of patients  with inherited  neuromuscular diseases seen at Kalafong Hospital in Pretoria. Our objectives  were to determine the problems associated with providing patients with optimal management until true remission (cure), and to apply the findings to ongoing improvement of optimal management. This is the first report of the series.Methods. Twenty-six patients were studied prospectively from 1986to1998. Early sternal-splitting  thymectomy on class II -V patients as well as anticholinesterases, corticosteroids, azathioprine, plasma exchange, intensive care and various combinations of these constituted part of the optimal management. An assessment of the total monthly income and distance from hospital was done for each patient.Results. Five of the 15 thymectomised patients (33.3%) were lost to follow-up after reaching remission.  Of the remaining 10 patients, 6 (40%) are in true remission and the remaining 4 (26.7%) are in  pharmacological remission. Four of the 11 patients (36%) treated non-surgically were lost to follow-up. Of the remaining patients, 1 (9.1 % ) is in true remission and the remaining 6 (54.5%) are in   pharmacological remission. The average monthly income of patients lost to follow-up in the   thymectomised group was lower than that of patients who continued follow-up, and their homes were   further away from hospital. In the non-surgical group the average monthly income of patients lost to  follow-up was higher than that of patients who continued follow-up and their homes were nearer to the  hospital.Conclusion. Early thymectomy (the aggressive approach) resulted in 40% cures, 26.7%  pharmacological remissions, no mortality, minimal morbidity, and early discharge. Loss to follow-up was one of the biggest problems in providing optimal management for these patients.We modified optimal management in response to our patients' concerns without sacrificing excellence, and found that poverty and poor access to tertiary hospitals were possible contributory factors to loss to follow-up. Suggestions are made with regard to tackling the problems. Myasthenia gravis (MG) is a disorder of neuromuscular function resulting from an immunologically based premature destruction of acetylcholine receptors

Beyond nutrition screening: A systems approach to nutrition intervention. Challenges and opportunities for dietetics professionals

Malnutrition in older Americans involves many disparate and complex causes. Dietetics professionals need to broaden their scope of practice in dealing with nutrition screening and intervention themselves and in providing expert consultation to others. Health and social services generalists such as physicians, nurses, and social workers must become more aware of the presence and risk of nutrition-related problems in the elderly and must adopt a systematic, collaborative approach to their solution. Nutrition screening, intervention, appropriate referral, and consultation must be built into daily practice. The NSI is a challenge and a call to action for all dietetics professionals. Registered dietitians must become active participants on interdisciplinary teams. They must assume a leadership role in areas of nutrition screening, assessment, and intervention. Their knowledge, skills, and expertise must continue to keep pace not only with advances in the science and technology of nutrition but also with relevant areas of related fields. The tools provided by the NSI and partnerships between nutrition and other health and social services professionals provide opportunity for the widespread incorporation of a systematic approach to delivery of nutrition services. Attention to nutritional health is too important to be left solely to health specialists or to generalists; all must become active participants in maximizing the nutritional health of older Americans. © 1993 The American Dietetic Association

pymc-devs/pymc: v5.8.2

What's Changed Bugfixes Fix bug in compute_log_likelihood when variable has dims without coords by @jaharvey8 in https://github.com/pymc-devs/pymc/pull/6882 Full Changelog: https://github.com/pymc-devs/pymc/compare/v5.8.1...v5.8.

pymc-devs/pymc: v5.9.2

<p><!-- Release notes generated using configuration in .github/release.yml at main --></p> <h2>What's Changed</h2> <h3>New Features </h3> <ul> <li>Recognize alternative form of sigmoid in logprob inference by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/6978</li> <li>Allow IntervalTransform to handle dynamic infinite bounds by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/7001</li> </ul> <h3>Bugfixes </h3> <ul> <li>Fix compute_test_value error when creating observed variables by @vandalt in https://github.com/pymc-devs/pymc/pull/6982</li> <li>Fix memory leak in logp of transformed variables by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/6991</li> </ul> <h3>Documentation </h3> <ul> <li>fix typo in notebook about Distribution Dimensionality by @nicrie in https://github.com/pymc-devs/pymc/pull/7005</li> </ul> <h3>Maintenance </h3> <ul> <li>Add more missing functions to math module by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/6979</li> </ul> <h2>New Contributors</h2> <ul> <li>@vandalt made their first contribution in https://github.com/pymc-devs/pymc/pull/6982</li> <li>@nicrie made their first contribution in https://github.com/pymc-devs/pymc/pull/7005</li> </ul> <p><strong>Full Changelog</strong>: https://github.com/pymc-devs/pymc/compare/v5.9.1...v5.9.2</p&gt

pymc-devs/pymc: v5.9.1

<p><!-- Release notes generated using configuration in .github/release.yml at main --></p> <h2>What's Changed</h2> <h3>New Features </h3> <ul> <li>Allow batched parameters in MvNormal and MvStudentT distributions by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/6897</li> <li>Logprob derivation of Max for Discrete IID distributions by @Dhruvanshu-Joshi in https://github.com/pymc-devs/pymc/pull/6790</li> <li>Support logp derivation of <code>power(base, rv)</code> by @LukeLB in https://github.com/pymc-devs/pymc/pull/6962</li> </ul> <h3>Bugfixes </h3> <ul> <li>Make <code>Model.str_repr</code> robust to variables without monkey-patch by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/6942</li> <li>Fix bug in GP Periodic and WrappedPeriodic kernel full method by @lucianopaz in https://github.com/pymc-devs/pymc/pull/6952</li> <li>Fix rejection-based truncation of scalar variables by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/6923</li> </ul> <h3>Documentation </h3> <ul> <li>Add expression for NegativeBinomial variance by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/6957</li> </ul> <h3>Maintenance </h3> <ul> <li>Add constant and observed data to nutpie idata by @Y0dler in https://github.com/pymc-devs/pymc/pull/6943</li> <li>Improve multinomial moment by @aerubanov in https://github.com/pymc-devs/pymc/pull/6933</li> <li>Fix HurdleLogNormal Docstring by @amcadie in https://github.com/pymc-devs/pymc/pull/6958</li> <li>Use numpy testing utilities instead of custom close_to* by @erik-werner in https://github.com/pymc-devs/pymc/pull/6961</li> <li>Include more PyTensor functions in math module by @jaharvey8 in https://github.com/pymc-devs/pymc/pull/6956</li> <li>Improve blackjax sampling integration by @junpenglao in https://github.com/pymc-devs/pymc/pull/6963</li> </ul> <h2>New Contributors</h2> <ul> <li>@Y0dler made their first contribution in https://github.com/pymc-devs/pymc/pull/6943</li> <li>@amcadie made their first contribution in https://github.com/pymc-devs/pymc/pull/6958</li> <li>@erik-werner made their first contribution in https://github.com/pymc-devs/pymc/pull/6961</li> </ul> <p><strong>Full Changelog</strong>: https://github.com/pymc-devs/pymc/compare/v5.9.0...v5.9.1</p&gt

pymc-devs/pymc: v5.8.1

What's Changed New Features Logprob derivation for Min of continuous IID variables by @Dhruvanshu-Joshi in https://github.com/pymc-devs/pymc/pull/6846 Derive logprob for exp2, log2, log10, log1p, expm1, log1mexp, log1pexp (softplus), and sigmoid transformations by @LukeLB in https://github.com/pymc-devs/pymc/pull/6826 ### Bugfixes Fix wrong ZeroSumNormal logp expression by @lucianopaz in https://github.com/pymc-devs/pymc/pull/6872 Fix bug in univariate Ordered and SumTo1 transform logp by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/6903 ### Documentation Link to updated PyMC port of DBDA in README by @cluhmann in https://github.com/pymc-devs/pymc/pull/6890 ### Maintenance Reject logp derivation of binary operations with broadcasted measurable input by @shreyas3156 in https://github.com/pymc-devs/pymc/pull/6893 Cast ZeroSumNormal shape operations to config.floatX by @thomasjpfan in https://github.com/pymc-devs/pymc/pull/6889 Bump docker/build-push-action from 4.1.1 to 4.2.1 by @dependabot in https://github.com/pymc-devs/pymc/pull/6900 Bump pytensor by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/6910 Full Changelog: https://github.com/pymc-devs/pymc/compare/v5.8.0...v5.8.

Centronuclear myopathy: histopathological aspects in ten patients with chilfhood onset Miopatia centronuclear: aspectos histopatológicos em dez pacientes com a forma clínica de início na infância

Centronuclear myopathy is a rare congenital myopathy. According to the period of onset of signs and symptoms and the degree of muscular involvement three clinical forms are distinguished: severe neonatal; childhood onset; and adult onset. We describe herein the muscle biopsy findings of ten patients with the childhood onset form of the disease including three cases with ultrastructural study. The biopsies disclosed increased nuclear centralization that varied from 25 to 90% of the fibers, type 1 predominance, great variability in fiber diameters, involvement in the internal fiber's architecture, and focal areas of myofilament disorganization. The main histopathologic differential diagnoses included type I fiber predominance, congenital fiber type disproportion, and myotonic dystrophy. The histologic abnormalities in centronuclear myopathy may be due to an arrest of maturation on the fetal myotubular stage. The cause of this arrest remains elusive.<br>A miopatia centronuclear (MCN) é uma forma rara de miopatia congênita. De acordo com a época do início dos sinais e sintomas e com o grau de envolvimento muscular são distinguidas três formas clínicas: forma neonatal severa; forma de início na infância; e de início na vida adulta. São apresentados neste estudo os achados histopatológicos de dez pacientes portadores da forma de início na infância da MCN. Os fragmentos musculares foram processados através de colorações de rotina e histoquímica, e em três casos foi realizado estudo ultraestrutural. Dentre os resultados obtidos, destacou-se o aumento da centralização nuclear na fibra muscular, que variou de 25 a 90%. Adicionalmente, foram observadas predominância de fibras do tipo I, variabilidade entre o diâmetro das fibras musculares, alterações da arquitetura interna das fibras musculares e presença de áreas focais de desorganização dos miofilamentos. Devido a estes aspectos, os principais diagnósticos diferenciais considerados foram as miopatias por predominância de fibras e por desproporção de fibras, e a distrofia miotônica. As anormalidades histológicas observadas na MCN podem ser devidas a uma parada no processo maturacional do músculo esquelético na fase miotubular fetal. A causa deste defeito ainda permanece sem explicação completa