A study on pacemaker pocket infection
Published on: 25th March, 2020
OCLC Number/Unique Identifier: 8576354340
Objective: Cardiac implantable electronic device (CIED) infections now constitute ∼ 10% of all endocarditis cases. The incidence of CIED infection is usually < 2%. Our objective was to study pacemaker pocket infection rate and different risk factors in our institution.
Methods: This observational study was conducted over a period of five years from January 2011 to December 2016 and it included 1096 patients. Common risk factors like patients with diabetes, repeat procedure, chronic renal failure, chronic obstructive airway disease, immunosuppressive agents were studied in our patients.
Results: Our study consisted of 1096 patients. Pacemaker pocket infection occurred in sixteen patients (1.5%). Chronic renal failure patients were one hundred thirty in our study (11.86%). There were three hundred fifty six diabetic patients (32.48%). Repeat procedure was done in ninety five patients (8.6%).
Results: Our study consisted of 1096 patients. Pacemaker pocket infection occurred in sixteen patients (1.5%). Chronic renal failure patients were one hundred thirty in our study (11.86%). There were three hundred fifty six diabetic patients (32.48%). Repeat procedure was done in ninety five patients (8.6%)
Eighty six patients were suffering from chronic obstructive airway (7.8%). Patients on immunosuppressive therapy were fourteen in our study (1.2%).
Conclusion: Pacemaker pocket infections is a dreaded complication after pacemaker implantation. During implantation, there is a risk of device contamination with the patient’s own skin flora and it can be prevented by ideal surgical asepsis technique, pre and perioperative use of antibiotics.
Diagnostic accuracy of apparent diffusion coefficient (ADC) in differentiating low- and high-grade gliomas, taking histopathology as the gold standard
Published on: 10th April, 2023
Gliomas are known to be one of the most grievous malignant central nervous system (CNS) tumors and have a high mortality rate with a low survival rate severe disability and increase risk of recurrence. Aim of his study is to determine the diagnostic accuracy of apparent diffusion coefficient (ADC) in differentiating low-grade and high-grade gliomas, taking histopathology as the gold standard. It is a Cross-sectional validation study conducted at the Armed Forces Institute of Radiology and Imaging, (AFIRI) Rawalpindi, Pakistan from 28th February 2022 to 27th August 2022.Materials and methods: A total of 215 patients with focal brain lesions of age 25-65 years of either gender were included. Patients with a cardiac pacemaker, breastfeeding females, de-myelinating lesions and malignant infiltrates, and renal failure were excluded. Then diffusion-weighted magnetic resonance imaging was performed on each patient by using a 1.5 Tesla MR system. The area of greatest diffusion restriction (lowest ADC) within the solid tumor component was identified while avoiding areas of peritumoral edema. Results of ADC were interpreted by a consultant radiologist (at least 5 years of post-fellowship experience) for high or low-grade glioma. After this, each patient has undergone a biopsy in the concerned ward, and histopathology results were compared with ADC findings. Results: Overall sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of apparent diffusion coefficient (ADC) in differentiating low- and high-grade gliomas, taking histopathology as the gold standard was 93.65%, 87.64%, 91.47%, 90.70% and 91.16% respectively. Conclusion: This study concluded that apparent diffusion coefficient (ADC) is the non-invasive modality of choice with high diagnostic accuracy in differentiating low- and high-grade gliomas.
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