Blood biochemical profiles of dairy cows and their calves from Bulgarian Black and White Cattle Breed
BULGARIAN JOURNAL OF AGRICULTURAL SCIENCE
Authors: Teneva, Atanaska; Hristov, Kalin; Stoimenov, Georgi
Abstract
This study examined the activities of aspartate aminotransferase (ASAT), alanine aminotrans-ferase (ALAT), alkaline phosphatase (ALP), acid phosphatase (ACP), albumin (Alb). total protein (TP), creatin-phosphokinase (CPK), total lipid (TL), calcium (Ca) in the plasma of 304 dairy Holstein breed cows and their calves. The cows were held in an intensive farm breeding premises. Their meal consisted of ordinary alfalfa. silage, hay and concentrates with energy and protein supplements. The Student t-test showed significant difference (P < 0.05) in mean of the ASAT. ALAT, ALP, ACP, Alb, TP, TL, Ca between cows and calves of the breed. Mean values of the ASAT, ALAT, Alb, TP, TL and Ca was higher in cow group than in calves group (P < 0.05), while ALP and ACP was lower in cow in comparison to the calves group (P < 0.05).
Nomogram to Predict Preoperative Occult Peritoneal Metastasis of Gastrointestinal Stromal Tumors (GIST) Based on Imaging and Inflammatory Indexes
CANCER MANAGEMENT AND RESEARCH
Authors: Xu, Shao-Jun; Lin, Guo-Sheng; Ling, Hong-Jian; Guo, Ren-Jie; Chen, Jie; Liao, Yi-Ming; Lin, Tao; Zhou, Yong-Jian
Abstract
Background: Preoperative imaging examination is the primary method for diagnosing metastatic gastrointestinal stromal tumor (GIST), but it is associated with a high rate of missed diagnosis. Therefore, it is important to establish an accurate model for predicting occult peritoneal metastasis (PM) of GIST. Patients and Methods: GIST patients seen between April 2002 and December 2018 were selected from an institutional database. Using multivariate logistic regression analyses, we created a nomogram to predict occult PM of GIST and validated it with an independent cohort from the same center. The concordance index (C-index), decision curve analysis (DCA) and a clinical impact curve (CIC) were used to evaluate its predictive ability. Results: A total of 522 eligible GIST patients were enrolled in this study and divided into training (n=350) and validation cohorts (n=172). Factors associated with occult PM were included in the model: tumor size (odds ratio [OR] 1.194 95% confidence interval [CI], 1.034-1.378; p=0.016), primary location (OR 7.365 95% CI, 2.192-24.746; p=0.001), tumor capsule (OR 4.282 95% CI, 1.209-15.166; p=0.024), Alb (OR 0.813 95% CI, 0.693-0.954; p=0.011) and FIB (OR 2.322 95% CI, 1.410-3.823; p=0.001). The C-index was 0.951 (95% CI, 0.917-0.985) in the training cohort and 0.946 (95% CI, 0.900-0.992) in the validation cohort. In the training cohort, the prediction model had a sensitivity of 82.8%, a specificity of 93.8%, a positive predictive value of 54.7%, and a negative predictive value of 98.4%; the validation cohort values were 94.7%, 85.0%, 43.9% and 99.2%, respectively. DCA and CIC results showed that the nomogram had clinical value in predicting occult PM in GIST patients. Conclusion: Imaging and inflammatory indexes are significantly associated with microscopic metastases of GIST. A nomogram including these factors would have an excellent ability to predict occult PM.