جستجوی مقالات مرتبط با کلیدواژه "مشخصه های بالینی" در نشریات گروه "پزشکی"

Considering the clinical importance and remarkable prevalence of palindromic rheumatism and since there has been no study about serum vitamin D level in patients with palindromic rheumatism, therefore, present study designed to assess serum levels of vitamin D in patients with palindromic rheumatism and to analyze its relationship with clinical characteristics.   

In present study, 39 patients aged ≥ 16 years with diagnosis of palindromic rheumatism and 81 healthy individuals without any history of inflammatory rheumatic diseases were selected from rheumatology outpatient clinic of Tabriz University of Medical Sciences during 2020-2021. Clinical status of patients was assessed by a rheumatologist and frequency of attacks, duration of attacks, number of involved joints, and duration of symptoms were recorded. Serum 25(OH) vitamin D3 levels were measured using a kit.

Mean±SD serum 25(OH) vitamin D3 in patients and healthy subjects was 25.9±11.9 and 25.8±13.8 ng/mL, respectively (P=0.994). No significant relationship was observed between vitamin D deficiency and palindromic rheumatism (OR=0.39, 95%CI: 0.29-1.63, P=0.391). No significant correlation was observed between serum 25(OH)vitamin D3 and disease clinical characteristics including frequency of attacks, duration of attacks, number of involved joints, and duration of symptoms (P>0.05).  

There was no significant relationship between vitamin D deficiency and occurrence of palindromic rheumatism as well as between serum 25(OH) vitamin D3 and clinical characteristics. It is suggested that further studies with larger sample size are performed to achieve concise conclusion about preventive and therapeutic approach regarding the relation between vitamin D and clinical status in patients with palindromic rheumatism.

Anemia disease is the most common hematological disorder which most often occurs in women. Knowledge discovery from large volumes of data associated with records of the disease can improve medical services quality by data mining The goal of this study was to determining and evaluating the status of anemia using data mining algorithms.
In this applied study, laboratory and clinical data of the patients with anemia were studied in the population of women. The data have been gathered during a year in the laboratory of Imam Hossein and Shohada-ye Haft-e Tir Hospitals which contains 690 records and 15 laboratory and clinical features of anemia. To discover hidden relationships and structures using k-medoids algorithm the patients were clustered. The Silhouette index was used to determine clustering quality.
The features of red blood cell (RBC), mean corpuscular hemoglobin (MCH), ferritin, gastrointestinal cancer (GI cancer), gastrointestinal surgery (GI surgery) and gastrointestinal infection (GI infection) by clustering have been determined as the most important patients’ features. These patients according to their features have been seg-mented to three clusters. First, the patients were clustered according to all features. The results showed that clustering with all features is not suitable because of weak structure of clustering. Then, each time the clustering was performed with different number of features. The silhouette index average is 80 percent that shows clustering quality. Therefore clustering is acceptable and has a strong structure.
The results showed that clustering with all features is not suitable because of weak structure. Then, each time the clustering was performed with different number of features. The first cluster contains mild iron deficiency anemia, the second cluster contains severe iron deficiency anemia patients and the third cluster contains patients with other anemia cause.