Background: Chronic subdural hematoma (CSDH) is a common condition encountered in daily neurosurgical practice usually affecting the elderly population. Various surgical procedures have been used for the evacuation of hematoma in patients with CSDH. The objective of this paper was to study the postoperative outcome of patients who were operated for CSDH and to describe the easy, safest and effective procedure that can be performed at primary level hospitals.
Methods: Institutional based cross-sectional retrospective study was conducted among patients operated for CSDH from January 1, 2012 to December 31, 2015 at Teklehaymanot General Hospital, a private hospital in Addis Ababa, Ethiopia. Descriptive statistics, using SPSS version 20, was used to determine the postoperative outcomes including hospital stay, complications and recurrence rate.
Results: Of the 195 charts reviewed, 70.3% were of males, with M: F ratio of 2.4:1. 68.2% of patients being above the age of 55 years with a mean age at presentation of 57.63. The most common presenting symptom was headache followed by extremity weakness. The diagnosis of CSDH was made with either head CT scan or MRI. Forty one percent of patients had a left side hematoma and 48(24.6%) patients had bilateral CSDH. All patients were operated with a single burr hole evacuation under local anesthesia and postoperative subdural closed system drainage by a single neurosurgeon. The mean hospital stay was 3.68±2.6 days. The postoperative outcome was assessed using the Glasgow Outcome Score, and 95.9% of the patients reported good recovery. Thirteen (6.6%) patients were operated twice for recurrence, and there were four deaths.
Conclusions: Single burr hole craniostomy is an easy, safe and effective technique for the treatment of CSDH.
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http://dx.doi.org/10.4314/ejhs.v30i1.13 | DOI Listing |
Sci Rep
December 2024
Department of Urology, The Jikei University School of Medicine, Kashiwa Hospital, Kashiwashita 163-1, Kashiwa, Chiba, 277-8567, Japan.
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December 2024
Medical Genomics Research Department, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia.
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December 2024
Department of Gastroenterology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang city, Jiangxi province, China.
P2X7 receptor (P2X7R) plays a role in regulating tumor progression, but it is unclear whether P2X7R affects the pathological characteristics of patients with gastric cancer and the activity of gastric cancer cells. Therefore, this study preliminarily investigated the relationship between P2X7R and clinicopathological features of patients with gastric cancer, and further explored the effect of P2X7R on the proliferation, migration and invasion of gastric cancer cells through functional experiments. The results showed that P2X7R was highly expressed in gastric cancer tissues and gastric cancer cells.
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December 2024
Department of Biochemistry and Molecular Biology, Medical University of Lublin, 20-093, Lublin, Poland.
Using Fourier Transform Infrared spectroscopy (FTIR), it is possible to show chemical composition of materials and / or profile chemical changes occurring in tissues, cells, and body fluids during onset and progression of diseases. For diagnostic application, the use of blood would be the most appropriate in biospectroscopy studies since, (i) it is easily accessible and, (ii) enables frequent analyses of biochemical changes occurring in pathological states. At present, different studies have investigated potential of serum, plasma and sputum being alternative biofluids for lung cancer detection using FTIR.
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December 2024
Medical Image Analysis, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the value of deep learning on CT imaging of metastatic lesions for predicting ICI treatment outcomes in advanced melanoma.
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