Diabetes and risk of surgical site infection: a systematic review and meta-analysis
OBJECTIVETo determine the independent association between diabetes and surgical site
infection (SSI) across multiple surgical procedures. DESIGNSystematic review and meta …
infection (SSI) across multiple surgical procedures. DESIGNSystematic review and meta …
Risk factors of neurosurgical site infection after craniotomy: A systematic review and meta-analysis
C Fang, T Zhu, P Zhang, L Xia, C Sun - American Journal of Infection …, 2017 - Elsevier
Background Neurosurgical site infection (SSI) is a complication related to craniotomy, which
may lead to severe morbidity and higher hospital costs during the postoperative period …
may lead to severe morbidity and higher hospital costs during the postoperative period …
A biodegradable and self-deployable electronic tent electrode for brain cortex interfacing
High-density, large-area electronic interfaces are a key component of brain–computer
interface technologies. However, current designs typically require patients to undergo …
interface technologies. However, current designs typically require patients to undergo …
Medical management of brain tumors and the sequelae of treatment
D Schiff, EQ Lee, L Nayak, AD Norden… - Neuro …, 2015 - academic.oup.com
Patients with malignant brain tumors are prone to complications that negatively impact their
quality of life and sometimes their overall survival as well. Tumors may directly provoke …
quality of life and sometimes their overall survival as well. Tumors may directly provoke …
Phase 1 safety, pharmacokinetics, and fluorescence imaging study of tozuleristide (BLZ-100) in adults with newly diagnosed or recurrent gliomas
CG Patil, DG Walker, DM Miller, P Butte… - …, 2019 - journals.lww.com
BACKGROUND Fluorescence-guided surgery (FGS) can improve extent of resection in
gliomas. Tozuleristide (BLZ-100), a near-infrared imaging agent composed of the peptide …
gliomas. Tozuleristide (BLZ-100), a near-infrared imaging agent composed of the peptide …
Enhanced recovery after surgery for oncological craniotomies
KB Hagan, S Bhavsar, SM Raza, B Arnold… - Journal of Clinical …, 2016 - Elsevier
Enhanced recovery after surgery (ERAS) initiatives in the fields of gastrointestinal and pelvic
surgery have contributed to improved postoperative functional status for patients and …
surgery have contributed to improved postoperative functional status for patients and …
Orthopedic implant-associated infections caused by Cutibacterium spp. – A remaining diagnostic challenge
Background The definition criteria and clinical characteristics of implant-associated infection
(IAI) caused by Cutibacterium (formerly Propionibacterium) spp. are poorly known. We …
(IAI) caused by Cutibacterium (formerly Propionibacterium) spp. are poorly known. We …
A comprehensive review of skull base osteomyelitis: diagnostic and therapeutic challenges among various presentations
M Khan, S Quadri, A Kazmi, V Kwatra… - Asian journal of …, 2018 - thieme-connect.com
Skull base osteomyelitis (SBO) is a complex and fatal clinical entity that is often
misdiagnosed for malignancy. SBO is commonly a direct complication of otogenic …
misdiagnosed for malignancy. SBO is commonly a direct complication of otogenic …
Risk factors for surgical site infection after craniotomy: a prospective cohort study
E Jiménez-Martínez, G Cuervo, A Hornero… - … Resistance & Infection …, 2019 - Springer
Background Although surgical site infection after craniotomy (SSI-CRAN) is a serious
complication, risk factors for its development have not been well defined. We aim to identify …
complication, risk factors for its development have not been well defined. We aim to identify …
Machine learning applications for the prediction of surgical site infection in neurological operations
T Tunthanathip, S Sae-Heng, T Oearsakul… - Neurosurgical …, 2019 - thejns.org
OBJECTIVE Surgical site infection (SSI) following a neurosurgical operation is a
complication that impacts morbidity, mortality, and economics. Currently, machine learning …
complication that impacts morbidity, mortality, and economics. Currently, machine learning …