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Öğe Bilinen risk faktörlerine bağlı astım ataklarına duyarlılık ile hasta yaşı arasındaki ilişki(2013) Doğru, Sibel; Kanat, Fikret; Özer, Faruk; Maden, Emin; Akoğlu, Sebahat; Babayiğit, CenkAMAÇ: Astım atağı nedeniyle yatırılarak tedavi edilen hastaların çeşitli risk faktörlerinin yaş gruplarına göre atak ağırlığındaki belir- leyiciliği ve ilişkisi araştırıldı.GEREÇ VE YÖNTEMLER: Astım atağı tanısıyla hastaneye yatırılan 80 hasta çalışmaya dâhil edildi. Olgular 65 yaş altı (n=36; 52,5±7,6) ve üstü (n=44; 72,5±5,2) olmak üzere 2 gruba ayrılarak değerlendirildi. Hastaların demografik özellikleri, astım başlangıç yaşı ve astım süresi, astım ağırlık derecesi, atak şiddeti, atopi, atopik hastalıklar, ilaç ve besin alerjisi, ek hastalıklar, son 1 ay ve 3 ay içindeki tedavi durumu, atak nedeni, yatış süresi, astım nedeniyle son 1 yıl içinde acil servis ve hastaneye yatış sayısı, astım nede- niyle yaşamı boyunca toplam hastaneye yatış sayısı kaydedildi. Hastaların yatış ve çıkışta solunum fonksiyon testleri ve arter kan gazları alındı. BULGULAR: Altmış beş yaş üstü hastalarda osteoporoz varlığı, küf mantarı için cilt testi pozitifliği, son 1 aydaki teofilin kullanımının atak ağırlığını artırdığı tespit edildi. 65 yaş üstünde astım ağırlığın- dan bağımsız olarak atak şiddetinin daha ağır olduğu tespit edildi. Son 1 ay ve son 3 ayda her iki yaş grubundaki hastaların düzensiz tedavi aldığı belirlendi. SONUÇ: Yaşlı astım hastalarında teofilin kullanımı, küf mantarı duyarlılığı, biomas maruziyeti gelecekteki astım ataklarını önle- mek için daha dikkatli sorgulanmalı ve rehberler doğrultusunda gerekli koruyucu önlemler önerilmelidir.Öğe Digital clubbing and metabolic syndrome(Medi+World Int, 2011) Helvaci, Mehmet Rami; Aydin, Leyla Yilmaz; Maden, Emin; Aydin, YusufBackground: Any relationship between clubbing and metabolic syndrome was studied. Methods: The study was performed in the Internal Medicine Polyclinic. Results: The study included 224 cases (104 with clubbing), in total. The mean age of clubbing cases was 49.2 years, and there was a male predominance (81.7%). There were significantly higher prevalences of smoking and chronic obstructive pulmonary disease (COPD) in the clubbing group (69.2 vs 41.6% and 27.8 vs 10.8%, respectively, p<0.001 for both). Although the body mass index (BMI), weight, and fasting plasma glucose (FPG) were lower in the clubbing group, the differences were nonsignificant probably due to the small sample size, although the negative effect of small sample size, and prevalence of type 2 diabetes mellitus (DM) was significantly lower in the clubbing group (12.5 vs 21.6%, p<0.05). Mean low density lipoprotein cholesterol and triglyceride values were higher in the clubbing group, non-significantly. Although both the systolic and diastolic blood pressures (BP) were lower in the clubbing group, the difference was only significant for systolic BP (127.6 vs 136.9 mmHg, p=0.011). On the other hand, prevalence of coronary heart disease (CHD) and/or peripheric artery disease (PAD) were significantly higher in the clubbing group (7.6 vs 0.0%, p<0.01). Conclusion: There are direct relationships between clubbing and prevalence of smoking, COPD, CHD and PAD, probably due to the atherosclerotic effects of smoking, whereas BMI, weight, FPG, systolic and diastolic BPs and prevalence of DM are inversely related with clubbing, probably due to suppressor effects of smoking on appetite.Öğe Effects of season-induced hormonal changes on mortality(Medi+World Int, 2012) Helvaci, Mehmet Rami; Ari, Mustafa; Maden, Emin; Aydin, Leyla Yilmaz; Aydin, Yusuf; Ozer, CahitBackground: We tried to understand whether or not there are some seasonal differences in human mortality rates in the present study. Methods: The study was performed in the General Internal Medicine and Hematology Clinics between March 2007 and December 2010. All hospitalized cases in these units during the 45-month period were included into the study. The total number of deaths in each season were detected and compared. Results: There were 68 deaths during the period, with various causes. Although there were only three deaths in July, there were nine in October. In other words, the total number of deaths was the highest in autumn with 22 deaths (32.3% of all) in the 45-month period, totally. It was 13 (25.4%) in winter, 16 (23.5%) in spring, and 17 (25.0%) in the summer. Although there is obvious difference in the number of deaths between autumn and the other seasons, the difference was statistically nonsignificant probably due to the small number of death cases (p= 0.481). Conclusion: Although seasonal differences of human mortality rates were statistically nonsignificant, this was probably due to the small number of death cases of the present study; there may actually be a significant increase in autumn with unexplained reasons yet. Relative hormonal insufficiencies during the passage from a summer-like relaxed, to an autumn-like stressful season may be one of the causes. If so, it can be prevented by some hormonal replacement therapies, thus this theory should be searched with a higher number of cases in a more detailed approach.Öğe The Relationship between Patient Age and Sensitivity to Known Risk Factors for Asthma Attacks(Bilimsel Tip Publishing House, 2013) Dogru, Sibel; Kanat, Fikret; Ozer, Faruk; Maden, Emin; Akoglu, Sebahat; Babayigit, CenkOBJECTIVE: The characteristics of patients hospitalised for an asthma attack were evaluated to delineate the impact of age on sensitivity to risk factors for this condition. MATERIAL AND METHODS: Eighty patients hospitalised for an asthma attack were included in this cross-sectional study. Patients were divided into two age groups; younger than 65-years-old (52.5 +/- 7.6 years, n= 36) and older than 65-years-old (72.5 +/- 5.2 years, n=44). A questionnaire was used to collect data on demographics, initial age and duration of asthma, atopy, atopic diseases, drug and food allergies, additional diseases, treatments during the previous 1 and 3 months, cause of attacks, duration of hospital stay, number of emergency visits and hospitalisation due to asthma over the last year, and all past hospital stays. Pulmonary function tests were performed upon admittance and discharge, and parameters of arterial blood gases were recorded. RESULTS : The severity of asthma attacks was greater in the older cohort of patients with risk factors including osteoporosis, positive skin test for mould, or theophylline use in the previous month. Independent of these variables, the severity of attacks was greater in patients over the age of 65. Irregular treatments in both age groups were noted over the previous one and three months. CONCLUSION: Theophylline use, mould sensitivity and biomass exposure in elderly patients with asthma should be questioned more carefully and protective measures taken to avoid these risks in keeping with the recommended guidelines.