Influence of Temperature Chronobiology on Stroke Outcome.
Maria Luz Alonso-AlonsoAna Sampedro-VianaManuel Rodríguez-YáñezIria López-DequidtJosé Manuel Manuel PumarAntonio J MosqueiraSabela Fernández-RodicioMarcos Bazarra-BarreirosTomás SobrinoFrancisco CamposJosé CastilloPablo HervellaRamon Iglesias-ReyPublished in: International journal of molecular sciences (2023)
The circadian system regulates numerous physiological variables, including body temperature. Additionally, a circadian patter has been described in stroke onset. Considering this, we hypothesised that the chronobiology of temperature may have an impact on stroke onset and functional outcomes. We also studied the variation of blood biomarkers according to stroke onset time. This is a retrospective observational study. Of the patients included, 2763 had a stroke between midnight and 8:00 h; 1571 between 8:00-14:00 h; and 655 between 14:00 h and midnight. Axillary temperature was measured at admission. At this time, blood samples were collected for biomarker analysis (TNF-α, IL-1β, IL-6, IL-10, and glutamate). Temperature was higher in patients admitted from 8:00 h to midnight ( p < 0.0001). However, the percentage of poor outcome at 3 months was highest in patients from midnight to 8:00 h (57.7%, p < 0.001). The association between temperature and mortality was highest during night time (OR: 2.79; CI 95%: 2.36-3.28; p < 0.001). These patients exhibited high glutamate (220.2 ± 140.2 µM), IL-6 (32.8 ± 14.3 pg/mL) and low IL-10 (9.7 ± 14.3 pg/mL) levels. Therefore, temperature chronobiology could have a significant impact on stroke onset and functional outcome. Superficial body hyperthermia during sleep seems to be more dangerous than during wakefulness. Further studies will be necessary to confirm our data.
Keyphrases
- atrial fibrillation
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- emergency department
- prognostic factors
- peritoneal dialysis
- rheumatoid arthritis
- early stage
- cardiovascular disease
- depressive symptoms
- artificial intelligence
- big data
- radiation therapy
- patient reported
- sleep quality
- locally advanced