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1.
Medicine (Baltimore) ; 96(51): e9463, 2017 Dec.
Article in English | MEDLINE | ID: mdl-29390583

ABSTRACT

RATIONALE: Idiopathic omental bleeding is a rare cause of acute abdomen, with only a few reported cases. It usually presents with abdominal pain and may be life-threatening. As it rarely occurs, it may not be considered initially during patient presentation. PATIENT CONCERNS: A 35-year-old male came to our emergency department with abdominal pain present for around 5 to 6 hours. The patient complained of left upper quadrant abdominal pain after eating breakfast. The only associated symptom was 3 episodes of vomiting up food. Physical examination revealed mild left upper quadrant abdominal tenderness without muscle guarding or rebounding pain. Blood examination showed leukocytosis with neutrophil predominance and C reactive protein elevation. The pain was persistent and relief was not obtained by medication. DIAGNOSES: Computed tomography showed a large lobular-contour homogenous slightly hyperdense lesion without enhancement along the greater curvature of the stomach in the lesser sac. A surgeon was consulted and laparotomy was suggested. Hematoma was found at Morrison pouch, subsplenic fossa, and lesser sac under operation. INTERVENTION: Laparotomy and ligation for hemostasis. OUTCOMES: The patient was discharged with stable condition after 7 days of hospitalization. LESSONS: This diagnosis should be considered in patients presenting with epigastric pain and vomiting after eating while in the emergency department because this disease might be life-threatening. This case highlights 2 important learning points. First, idiopathic omental bleeding could occur after eating in patients without underlying disease or trauma history, and this disease should be taken into consideration when acute abdomen occurs. Second, emergent laparotomy is indicated if the cause of acute abdomen is not clear.


Subject(s)
Abdominal Pain/etiology , Hemorrhage/diagnosis , Omentum , Peritoneal Diseases/diagnosis , Abdominal Pain/diagnostic imaging , Adult , Emergency Service, Hospital , Hemorrhage/complications , Hemorrhage/diagnostic imaging , Hemorrhage/surgery , Humans , Male , Omentum/diagnostic imaging , Omentum/surgery , Peritoneal Diseases/complications , Peritoneal Diseases/surgery , Tomography, X-Ray Computed
2.
BMC Cancer ; 14: 951, 2014 Dec 15.
Article in English | MEDLINE | ID: mdl-25511643

ABSTRACT

BACKGROUND: Cdk1 (cyclin-dependent kinase 1) is critical regulator of the G2-M checkpoint. Cyclin-dependent kinase pathways are considered possible targets for cancer treatment; however, the prognostic role of Cdk1 in colorectal cancer is still controversial. Therefore, we attempted to determine the impact of Cdk1 on the clinical outcome of colorectal cancer patients to further identify its role in colorectal cancer. METHODS: Cdk1 immunoreactivity was analyzed by immunohistochemistry (IHC) in 164 cancer specimens from primary colorectal cancer patients. The medium follow-up time after surgery was 3.7 years (range: 0.01 to 13.10 years). The prognostic value of Cdk1 on overall survival was determined by Kaplan-Meier analysis and Cox proportional hazard models. RESULTS: All samples displayed detectable Cdk1 expression with predominant location in the cytoplasm and nucleus. A high Cdk1 nuclear/cytoplasmic (N/C) expression ratio was correlated with poor overall survival (5-year survival rate: 26.3% vs 46.9%, N/C ratio ≥1.5 vs N/C ratio <1.5, log-rank p = 0.027). Accordingly, a Cdk1 N/C expression ratio ≥1.5 was identified as an independent risk factor by multivariate analysis (hazard ratio = 1.712, P = 0.039). CONCLUSIONS: We suggest that Cdk1 N/C expression ratio determined by IHC staining could be an independent prognostic marker for colorectal cancer.


Subject(s)
Cell Nucleus/metabolism , Colorectal Neoplasms/pathology , Cyclin-Dependent Kinases/metabolism , Cytoplasm/metabolism , CDC2 Protein Kinase , Colorectal Neoplasms/metabolism , Colorectal Neoplasms/surgery , Humans , Immunohistochemistry , Kaplan-Meier Estimate , Prognosis , Proportional Hazards Models , Survival Analysis
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