Objectives Coronavirus‐19 is a rapidly progressing disease that can result in mortality. We aimed to evaluate the efficacy of the delta neutrophil index in predicting mortality in intensive care patients diagnosed with Coronavirus‐19. Materials and methods Patients with a positive polymerase chain reaction test and/or computed tomography findings compatible with the disease were included in the study. The demographic characteristics of the patients, polymerase chain reaction test results, chest computed tomography findings, blood parameters at the time of presentation, 30‐day mortality, and the number of days in the intensive care unit were assessed. Results Of the 388 patients receiving intensive care, 220 (56.7%) were men and 168 (43.3%) were women. The mean age was 70 ± 15 years. The evaluation of mortality, 264 (68%) of the patients survived and 124 (32%) died. The delta neutrophil index, neutrophil lymphocyte ratio, lactate, interleukin‐6 and C‐reactive protein values were statistically significantly higher and the lymphocyte value was significantly lower in the mortality group ( P = .003, .034, .000, .002, .000 and .024, respectively). In the receiver operating characteristic curve analysis, the area under the curve values of the delta neutrophil index, lymphocyte, neutrophil lymphocyte ratio, lactate, interleukin‐6 and C‐reactive protein levels in predicting mortality were 0.718, 0.416, 0.628, 0.585, 0.701 and 0.684, respectively. Conclusion We consider that the delta neutrophil index can be used as an effective prognostic parameter to show intensive care mortality in patients with Coronavirus‐19.

IntroductionFalls are the second most common cause of injury-associated mortality worldwide. This study aimed to analysis the injuries caused by falls from walnut tree and assess their mortality and morbidity risk.MethodsThis is a retrospective hospital-based study of patients presenting to emergency department (ED) of Ahi Evran Univercity between September and October 2012. For each casualty, we computed the ISS (defined as the sum of the squares of the highest Abbreviated Injury Scale (AIS) score in each of the three most severely injured body regions). Severe injury was defined as ISS ≥ 16. The duration of hospital stay and final outcome were recorded. Statistical comparisons were carried out with Chi-Square test for categorical data and non-parametric spearman correlation tests were used to test the association between variables. A p value less than 0.05 was considered to be statistically significant.ResultsFifty-four patients admitted to our emergency department with fall from walnut tree. Fifty (92.6%) patients were male. The mean age was 48 ± 14 years. Spinal region (44.4%) and particularly lumbar area (25.9%) sustained the most of the injuries among all body parts. Wedge compression fractures ranked first among all spinal injuries. Extremities injuries were the second most common injury. None of the patients died. Morbidity rate was 9.25%.ConclussionFalls from walnut trees are a significant health problem. Preventive measures including education of farmers and agricultural workers and using mechanized methods for harvesting walnut will lead to a dramatic decrease in mortality and morbidity caused by falls from walnut trees.

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ConclusionLaboratory parameters alone cannot be sufficient for the diagnosis of acute appendicitis in pregnant patients. If clinical examination, laboratory parameters and USG are not sufficient for diagnosis, MRI is the imaging method that should be considered to reduce negative appendectomy rate.

Breast masses secondary to hydatid cyst disease are placed on the differential diagnosis of breast tumors under guidance of the literature. In addition to their characteristic appearance on mammography, many specific parameters for diagnosis are required. In this report, the relation of serum CA 19-9 levels to the primary breast cyst hydatid was evaluated in both preoperative and postoperative periods.