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Biomedical subjects

T Telakivi

Publications and source records attributed to T Telakivi.

24 records · Page 2Linked to original sources
PubMed1987

Nocturnal periodic breathing in adults with Down's syndrome.

Nineteen adults with Down's syndrome were studied with the static charge sensitive bed (SCSB) method. A single whole-night recording was made of each subject. Two different periodic breathing indices (PBIf and PBI%) were calculated from a computerized analysis of these recordings. A polygraphic recording was also made of one subject, a 52-year-old male. The EEG, the EOG, the EMG, nasal and oral airflow, and diaphragmatic movement were recorded, the latter with an abdominal strain gauge and with the SCSB-method simultaneously. Good correlation was found between the recording with the SCSB and the strain gauge. The apnoea index (AI) calculated from the polygraphic recording was 23.3, while the PBIf of this patient recorded on another night and analysed automatically was 45 and the PBI% was 78.6. The patient group was divided into those aged 40 or older (n = 10) and those aged 39 or younger (n = 9). The mean PBI% of the older group was 24.0 while that of the younger group was 5.4 (t = 2.23; P less than 0.05). The mean PBIf of the older group was 16.7 and that of the younger was 3.6 (t = 2.70; P = less than 0.02). The mean body mass index (BMI) of the younger group was significantly higher than the mean BMI of the older group. The mean BMI of those patients, whose PBI values were considered to be normal (PBI% less than 3, PBIf less than 7), did not significantly differ from the BMI of those patients, whose PBI-values were abnormal.(ABSTRACT TRUNCATED AT 250 WORDS)

Adult↗
PubMed1987

Periodic breathing and hypoxia in snorers and controls: validation of snoring history and association with blood pressure and obesity.

Fifty-two men (aged 41-50 years) of whom 25 reported habitual and 27 of occasional or never snoring were examined clinically. Whole-night sleep recordings of body and breathing movements, snoring and blood oxygen saturation were made. Hypoxic events exceeding 4% from the baseline were counted. Ninety-three percent of those classified snorers by the recordings were habitual or occasional snorers, but 50% of those similarly classified non-snorers had reported habitual or occasional snoring. Four habitual snorers had abnormal breathing indices and polysomnography established obstructive sleep apnea syndrome (OSAS) in one. Thus, self-reported habitual snoring is a reliable OSAS-screening method. Estimated prevalence of OSAS based on this study is 0.4-1.4%. In multivariate regression analysis, the hypoxic events were explained by obesity and apneic events. The diastolic blood pressure level was best explained by obesity, but not hypoxic or apneic events or snoring history.

Adult↗
PubMed1985

Sleep disturbance in patients with juvenile neuronal ceroid lipofuscinosis: a new application of the SCSB-method.

Five patients (3 male, 2 female, mean age 20.4 years, range 14-28) with juvenile neuronal ceroid lipofuscinosis were studied using the Static Charge-Sensitive Bed method. Three distinct patterns of respiration (calm, periodic and restless) were differentiated in an automatic analysis. The amount of restless respiration was found to increase with duration of the disease. The result is discussed in terms of methodology and the clinical picture of JNCL.

Adolescent↗
PubMedDate not supplied

Evaluation of Sleep Expert--a computer-aided decision support system for sleep disorders.

Sleep Expert--a medical decision support system--is a prototype program, with knowledge based on the International Classification of Sleep Disorders (1990). The goal of this project was to evaluate Sleep Expert. In the evaluation project the knowledge of the program was first validated. Three physicians, experts in sleep disorders, were asked to choose 10 typical patient cases with sleep disorders, and to write a description. They also made a diagnosis for each case. Next, each expert made a diagnosis of the cases supplied by the other experts. They were not given the original diagnosis. The 'right diagnosis' (so-called majority agreement) was determined from the three diagnoses. Then the diagnosis of each expert was compared with the 'right diagnosis'. Two physicians, not experts in sleep disorders, were asked to make a diagnosis by using Sleep Expert. Compared to the 'right diagnosis' the diagnoses of each user (non-expert physician) were correct to 63 and 70% of cases, which is quite a good result, although it does not reach the level of the expert physicians (> or = 87%). The functionality of Sleep Expert was studied by using a limited inquiry. On the basis of the user inquiry Sleep Expert provided a useful clinical tool for non-experts.

Diagnosis, Computer-Assisted↗