QUALITY OF LIFE OF CHILDREN WITH PRIMARY HYPERPARATHYROIDISM AFTER PARATHYROIDECTOMY
Journal Title: International scientific journal Science and Innovation - Year 2024, Vol 3, Issue 10
Abstract
The aim of the study was to analyze the quality of life of patients with primary hyperparathyroidism (PHPT) in the late postoperative periods. The study involved 60 patients who, depending on the form of primary hyperpartyroidism, were divided into 3 groups. The survey was conducted using a short quality of life questionnaire (SF-36) before surgery and in the late postoperative period. The data obtained show that the indicators of the quality of life in the postoperative period increase in all groups of patients.
Authors and Affiliations
Rikhsiyeva N. T.
Keywords
Related Articles
- EP ID EP750459
- DOI 10.5281/zenodo.14022675
- Views 20
- Downloads 0
THE SET OF ABILITIES THAT CHARACTERIZE THE “PEDAGOGICAL SKILL” OF A TEACHER
The article focuses on the character of a teacher from pedagogical skill. The paper analyses pedagogy and set of abilities that can contain a range of characteristics
TRAINING OF MEDICAL PERSONNEL IN UZBEKISTAN
Training of medical personnel to maintain the health of the population in Uzbek SSR is considered one of the most important tasks. In this article, it is explained how the training of medical personnel and improvement of...
SOME INEQUALITIES IN ONE TWO-BOUNDARY PROBLEM FOR STOCHASTIC PROCESSES WITH INDEPENDENT INCREMENTS
Two-sided estimates are found for the average value of the moment of the first exit from the interval of a homogeneous process with independent increments in the case when the process jumps are bounded from above and bel...
OF CATTLE KETOSIS THE CAUSES OF THE DISEASE PREVENTION AND TREATMENT MEASURES
Ketosis of cows is a polyetiological disease, the main causes of the disease are energy deficiency, high-protein feeding, and fatty acid-preserving foods. Illness milk in 6-10 weeks of giving, milk harvest to be for nece...
PRACTICAL APPLICATION OF ARTIFICIAL NEURAL NETWORK IN MANAGEMENT
The work discusses the practical application of an artificial neural network for solving complex, non-formalizable problems, such as pattern recognition, image processing, information processing, etc., as well as for con...