Evaluation of scoring systems in terms of early prediction of severe acute pancreatitis and mortality in patients over 65 years of age.

Purpose: The aim of this study is to investigate the power of disease severity scores to predict the development of Severe Acute Pancreatitis (SAP) and mortality in the early period over 65 years old diagnosed with acute pancreatitis in the emergency department. Materials and Methods: We calculated RANSON (on admission) and Computed Tomography Severity Index (CTSI) in addition to Bedside Index for Severity in Acute Pancreatitis (BISAP) score on admission to the emergency department. Results: One hundred and sixty patients (46.9% over 80 years of age) were included in the study. We observed statistically higher length of hospitalization, longer duration of stay in the intensive care unit, SAP and higher mortality in patients over 80 years of age. When we examined the ROC curve, we determined that the AUC values of the BISAP score were highest in both SAP and mortality estimation (AUC: 0.911, 95% CI 0.861-0.962; AUC: 0.918, 95% CI 0.864-0.9722, respectively). Binary logistic analysis indicated a 4.7-fold increased risk for SAP and a 12.3-fold increased mortality for each unit increase in BISAP score value. Conclusion: BISAP may be a good predictor for SAP and mortality estimation on admission to the emergency department in patients over 65 years of age with acute pancreatitis

Bilinen tiroid hastalığı olmayan yoğun bakım hastalarında tiroid hormon düzeylerinin mortalite ve diğer prognostik belirteçlerle ilişkisi

TEZ6259Tez (Uzmanlık) -- Çukurova Üniversitesi, Adana, 2007.Kaynakça (s.40-51) var.vi, 52 s. ; 29 cm.Mortality is very high among intensive care unit (ICU) patients. In this study, we tried to determine the predictors that estimate the mortality of ICU patients and the association between them. 417 patients were included. 235 of them (% 56) were male, while 182 (% 44) were female. Predictors of mortality were determined as age, Apache II score, WBC count, hemoglobin level, C-Reactive Protein (CRP), Erythrocyte Sedimentation Level (ESR), procalcitonin, lactate, prothrombine time (PTZ), activated partial thromboplastine time (aPTT), fT3, fT4, TSH. In our study, mean age was not statistically significant for sexes and also for survivors and non-survivors. Among prognostic predictors, high levels of Apache II score, WBC count, supression of fT3, fT4, TSH and albumin levels were found to be associated with mortality. Supression of thyroid functions correlated well with increases in Apache II score, WBC count, ESR, CRP, procalcitonin levels and decrease with albumin level. In conclusion, Apache II score, WBC count, ESR, CRP, procalcitonin, prothrombine time, activated partial thromboplastine time, fT3, fT4, TSH and albumin are found to be valuable parameters in predicting the mortality among ICU patients.Yoğun bakımda yatan hastalarda mortalite oranı oldukça yüksektir. Bu çalısmada yoğun bakım hastalarının mortalitesini tahmin etmemize yardımcı olan belirteçleri ve bunların birbirleriyle olan iliskisini saptamaya çalıstık. Çalısmamıza, 235'i (% 56) erkek, 182'si (% 44) kadın olmak üzere toplam 417 hasta aldık. Hastalarda mortaliteyi tahmin etmek için kullanılan belirteçler olarak; yas, Apache II skoru, serumda lökosit sayısı, hemoglobin, CRP (c reaktif protein), ESR (eritrosit sedimantasyon hızı), prokalsitonin, laktat, PTZ (protrombin zamanı), aPTT (aktive parsiyel tromboblastin zamanı), sT3 (serbest triiyodotironin), sT4 (serbest tiroksin), TSH (tirotropin, tiroid stimüle edici hormon) belirlendi. Yaptığımız çalısmada cinsler arasında ve ex ile taburcu olanlar arasında yas ortalamaları istatistiksel olarak anlamlı değildi. Prognostik belirteçlerden Apache II skoru, lökosit sayısı, CRP, ESR, prokalsitonin, PTZ ve aPTT değerlerinin yüksekliği ile sT3, sT4, TSH ve albumin değerinin süpresyonu mortalite ile iliskili bulundu. Bu belirteçlerden tiroid fonksiyonlarının süpresyonuyla; lökosit sayısında, Apache II skorunda, ESR, CRP ve prokalsitonin değerlerindeki artıs ile albumin değerindeki azalma birbirleriyle iliskili bulundu. Sonuç olarak yoğun bakım hastalarında mortalitenin tahmininde; Apache II skoru, lökosit sayısı, CRP, ESR, prokalsitonin, PTZ, aPTT, albumin, sT3, sT4 ve TSH ölçümlerinin kullanılabileceği kanaatına varıldı.Bu çalışma Ç.Ü. Bilimsel Araştırma Projeleri Birimi Tarafından Desteklenmiştir. Proje No

Monocyte/High-Density lipoprotein ratio is an indicator of activity in patients with ulcerative colitis

In patients with ulcerative colitis, endoscopic and clinical indices are used to assess the disease activity. In addition, stud- ies have been carried out for easier and cheaper markers in recent years. For this purpose, we evaluated the monocyte/high-density lipoprotein ratio of the disease activity. Methods: According to clinical activity and partial Mayo scores, a total of 114 patients, 53 in the active ulcerative colitis group and 61 in the ulcerative colitis remission group were included in the study. Monocyte/high-density lipoprotein ratio, neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, C-reactive protein, and erythrocyte sedimentation rate measurements of these 2 groups were recorded. Ulcerative colitis remission group and active ulcerative colitis group were compared in terms of activity. Results: The monocyte/high-density lipoprotein ratio value in the active ulcerative colitis group was significantly higher than that of the ulcerative colitis remission group (10.68 ± 3.39, 6.68 ± 1.39, P < .001, respectively). The monocyte/high-density lipoprotein ratio value for active ulcerative colitis at a cut-off value of 7.4 had 83% sensitivity and 81% specificity. In the active ulcerative colitis group, neutrophil/lymphocyte ratio, C-reactive protein, and erythrocyte sedimentation rate values were significantly higher than the ulcerative colitis remission group (P < .001, P < .001, P < .001, respectively). Conclusion: Monocyte/high-density lipoprotein ratio is an inexpensive and effective marker that can be used to determine the activity of ulcerative colitis

Modeling and querying fuzzy spatiotemporal databases

Modeling spatiotemporal data, in particular fuzzy and complex spatial objects representing geographic entities and relations, is a topic of great importance ill geographic information systems, computer vision, environmental data management systems, etc. Because of complex requirements, it is challenging to represent spatiotemporal data and its features in databases and to effectively query them. This article presents a new approach to model and query the spatiotemporal data of fuzzy spatial and complex objects and/or spatial relations. In our case study, we use a meteorological database application in an intelligent database architecture, which combines an object-oriented database with a knowledgebase for modeling and querying spatiotemporal objects