Spinal implant-associated infections: a prospective multicentre cohort study.

This study evaluated the clinical, laboratory, microbiological, radiological and treatment characteristics of patients with early-onset and late-onset spinal implant-associated infections. Patients diagnosed with spinal implant-associated infection between 2015-2019 were prospectively included and treated according to a standardised algorithm. Infections were classified as early-onset (≤6 weeks) and late-onset (>6 weeks). Among 250 patients, 152 (61%) had early-onset and 98 (39%) had late-onset infection. Local inflammatory signs was the most common manifestation in early-onset infections (84%), whereas late-onset infections presented mainly with persisting or increasing local pain (71%). Sonication fluid was more often positive than peri-implant tissue samples (90% vs. 79%; P = 0.016), particularly in late-onset infections (92% vs. 75%; P = 0.005). Predominant pathogens were coagulase-negative staphylococci, Staphylococcus aureus and Cutibacterium spp. Debridement and implant retention was the most common surgical approach in early-onset infections (85%), whereas partial or complete implant exchange was mainly performed in late-onset infections (62%). Of the 250 patients, 220 (88%) received biofilm-active antibiotics, and median treatment duration was 11.7 weeks. Moreover, 49 patients (20%) needed more than one revision for infection and six patients (2.4%) died during hospital stay. Concluding, most spinal implant-associated infections were acquired during surgery and presented within 6 weeks of surgery. Infections presented mainly with local inflammatory signs in early-onset and with persisting or increasing pain in late-onset infections. Sonication was the most sensitive microbiological method, particularly in late-onset infections. Debridement and implant retention was used in well-integrated implants without loosening, independent of the time of infection onset.

Acceptance and compliance of TTFields treatment among high grade glioma patients.

BACKGROUND: Tumor treating fields (TTFields) significantly prolong both progression-free and overall survival in patients with newly diagnosed glioblastoma (GBM). TTFields are delivered to the brain tumor via skin transducer arrays and should be applied for a minimum of 18 h per day (≥ 75% compliance). This may cause limited acceptance by patients because of obstacles in daily routine. So far, there are limited data on factors influencing therapy acceptance and compliance. METHODS: In this retrospective study, fourty-one patients with primary GBM or recurrent high grade glioma (rHGG) have been treated with TTFields in our department. Compliance reports were generated at the monthly routine check of the device. We investigated demographic data, stage of disease and therapy duration in regard to treatment compliance. RESULTS: Thirty percent of patients with primary diagnosis of GBM were informed about TTFields. Acceptance rate among these patients was 36%. In this study, TTFields were prescribed in newly diagnosed GBM patients (57%) and in rHGG. Mean treatment compliance was 87% in the total population independent of age, sex and stage of disease. Compliance was not negatively correlated with time on treatment. CONCLUSION: TTFields are effective in newly diagnosed GBM, therefore acceptance and compliance is important for GBM treatment. We experienced moderate acceptance rate for TTFields, which is influenced by factors such as social support, comorbidities and independence in daily life. Overall therapy compliance lies above 75% and is not influenced by age, sex, stage of disease or duration of therapy. Improved patient consultation strategies will increase acceptance and compliance for better outcome.