Factors associated with fatal stroke in glioma patients: a population analysis
JIN, K.; Brenna, P.; Poon, M.; Sudlow, C. L.; Figueroa, J.
Show abstract
ImportanceBrain tumour patients have the highest stroke mortality rates among all cancer types, but the factors associated with fatal stroke in brain tumour remain unknown. ObjectiveWe aimed to examine to what extent brain tumour grade, a marker of biological aggressiveness, tumour size and cancer treatment each associated with stroke mortality in glioma. Gliomas include the most common malignant types of brain cancer. Design, setting, participantsA retrospective, observational cohort study using the US National Cancer Institutes Surveillance Epidemiology and End Results program. We identified adult patients with a primary diagnosis of malignant gliomas in 2000 to 2018 (N=72,252). The primary outcome of interest was death from cerebrovascular disease. Adjusted hazard ratio (aHR) and 95% confidence interval (CI) were calculated using cause-specific Cox regression model to determine associations with tumour characteristics: grades II-IV, tumour size and cancer treatment (surgery, radiotherapy, chemotherapy) associated with stroke mortality after adjustment for age, sex, race, marital status and calendar years. ResultsIn patients with glioma, increased risk for stroke mortality was observed in patients with higher grade (Grade III: aHR=1.19, 95% CI=0.88-1.61, p>0.05; Grade IV: aHR=1.94, 95% CI=1.39-2.71 compared to Grade II, p<0.001), and those with larger brain tumours (size=3-6 cm: aHR=1.93, 95%CI 1.31 -2.85, p<0.001, size>9cm: aHR=2.07, 95% CI=1.40-3.06, p<0.001 compared to size < 3cm). Having treatment was associated with decreased risk: surgery (yes VS no: aHR= 0.65; p<0.01), radiation (yes VS no: aHR= 0.66, p<0.01), chemotherapy (yes VS no: aHR=0.49, p<0.001). ConclusionsHigher grade and tumour size are strongly associated with increased stroke mortality. This implicates tumour biology and/or the systemic tumour response which require further investigation in prospective studies to determine strategies to mitigate this risk.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The impact of germline variants in DNA repair pathways on survival and temozolomide toxicity in adults with glioma 92%
- A Population Study of Clinical Trial Accrual for Women and Minorities in Neuro-Oncology Following the NIH Revitalization Act 92%
- SIOP Ependymoma I: Final results, long term follow-up and molecular analysis of the trial cohort: A BIOMECA Consortium Study 91%
Similar papers in this journal
Similar papers in this journal
- Circulating interleukin-6 levels and incident ischemic stroke: a systematic review and meta-analysis of population-based cohort studies 90%
- Frequency of neurological manifestations in COVID-19: a systematic review and meta-analysis of 350 studies 89%
- Lesions in putative language and attention regions are linked to more severe strokes in patients with higher white matter hyperintensity burden 89%
Similar papers in this journal
- Transcriptome-wide Mendelian randomization study prioritising novel tissue-dependent genes for glioma susceptibility 90%
- MTAP loss correlates with an immunosuppressive profile in GBM and its substrate MTA stimulates alternative macrophage polarization 89%
- Quantitative in vivo bioluminescence imaging of orthotopic patient-derived glioblastoma xenografts 89%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.