Tehran University Medical Journal

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Background: Community-acquired pneumonia could be a life-threatening condition especially in elderly patients. The factors influencing the outcome in elderly patients are thought to be different from those in young adults. We compared the clinical and paraclinical profiles in elderly and nonelderly patients with community-acquired pneumonias.
Methods: In this cross-sectional study, seventy nine patients who were hospitalized with community acquired pneumonia over a period of one year were included. Patients' medical records were reviewed and data related to comorbid conditions, signs and symptoms, laboratory and radiographic findings were gathered using a checklist.
Results: The clinical features, laboratory parameters and complications from pneumonia were almost similar in 41 elderly (group I, age ≥65years) and 38 young (group II, age<65years) subjects. Delirium was seen more in elderly group (p=0.05). The average body temperature and pulse rate were significantly higher in nonelderly group. Sixty one percent of elderly patients and 21% of young patients have Po2 less than 60 (p=0.02). Smoking (29.1%), neurological disturbances (19%), congestive heart failure (15.2%), chronic obstructive pulmonary disease and diabetes mellitus (13.9%) were associated comorbidities in both groups. In non elderly group, immune compromise and IV drug use were more common as underlying comorbid conditions. Two of three mortalities were due to elder patients.
Conclusion: Community acquired pneumonia could have more serious clinical and abnormal laboratory features in the elderly than younger patients. Mortality rate may be higher in older patients. Comorbid conditions are frequently seen in both elderly and nonelderly patients with community acquired pneumonia, but IV drug use and immune compromise are more frequent in nonelderly patients.

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Background: 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.

Methods: 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.

Results: 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.

Conclusion: 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.