منابع مشابه
Home monitoring for central apnoea.
Between July 1978 and December 1981, 64 infants thought to be at increased risk from sudden infant death syndrome (SIDS) were monitored at home for central apnoea. Twenty four of the infants had had a 'near miss' episode at age, median (range), 6 (1 to 33) weeks, and of these infants 22 had had 335 alarms for apnoea by age 6 months. Stimulation by shaking was carried out on 38 occasions and bag...
متن کاملA simplified model of screening questionnaire and home monitoring for obstructive sleep apnoea in primary care.
BACKGROUND To address the growing burden of disease and long waiting lists for sleep services, a simplified two-stage model was developed and validated for identifying obstructive sleep apnoea (OSA) in primary care using a screening questionnaire followed by home sleep monitoring. METHODS 157 patients aged 25-70 years attending their primary care physician for any reason at six primary...
متن کاملPropranolol in infantile haemangioma: simplifying pretreatment monitoring.
BACKGROUND Infantile haemangiomas (IHs) are very common vascular tumours. Propranolol is at present the first-line treatment for problematic and complicated haemangioma. In accordance with a Swiss protocol, children are monitored for 2 days at the start of the treatment to detect possible side effects of this drug. Our study advocates a simplification of the pretreatment monitoring process. M...
متن کاملHome blood sodium monitoring, sliding-scale fluid prescription and subcutaneous DDAVP for infantile diabetes insipidus with impaired thirst mechanism
BACKGROUND/AIMS Infants with diabetes insipidus (DI), especially those with impaired thirst mechanism or hypothalamic hyperphagia, are prone to severe sodium fluctuations, often requiring hospitalization. We aimed to avoid dangerous fluctuations in serum sodium and improve parental independence. METHODS A 16-month old girl with central DI, absent thirst mechanism and hyperphagia following sur...
متن کاملAn Intelligent Algorithm for Home Sleep Apnoea Test Device
This chapter describes the application of an intelligent machine learning technique (Support Vector Machines, SVM) to diagnose the patients with sleep apnoea syndrome using Electrocardiogram (ECG) signal. Sleep apnoea syndrome is a medical condition caused by sleep apnoea which is defined as the cessation of breathing for short periods during sleep. First, the importance of early diagnosis and ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMJ
سال: 1987
ISSN: 0959-8138,1468-5833
DOI: 10.1136/bmj.295.6597.553