OBJECTIVE: Pentraxin 3 (PTX3) is one of the pattern-recognition receptors related to the initial step of the immune response with C-reactive protein, but the physiologic and pathologic functions are not fully understood. The purpose of the current study was to determine the impact of PTX3 levels on mortality after ischemic stroke. METHODS: We consecutively enrolled 376 patients who had ischemic stroke between September 2004 and September 2006. The patients were divided into tertiles according to PTX3 levels. Cox regression analysis was used to determine hazard ratios (HRs) and 95% confidence intervals (CIs) of the PTX3 tertiles for all-cause mortality with adjustment for traditional risk factors and laboratory variables, including C-reactive protein. RESULTS: During the follow-up, 19.4% of the patients were deceased. The median PTX3 levels were higher in the deceased patients (18.0 vs. 6.4 ng/mL, p<0.001). Based on Cox regression analysis, compared with the first tertile of PTX3, the adjusted HRs of the second and third tertiles for all-cause mortality were 1.24 (95% CI, 0.52-2.98) and 2.64 (95% CI, 1.19-5.85), respectively. When the log-transformed levels of PTX3 were incorporated as continuous variables, higher levels of PTX3 were also associated with an increased mortality (increase per log unit; HR, 1.60; 95% CI, 1.19-2.16). CONCLUSIONS: We showed that higher levels of PTX3 are independently associated with increased mortality after ischemic stroke. Our results suggest that PTX3 may be used as a new powerful prognostic biomarker in patients with ischemic stroke.
OBJECTIVE:Pentraxin 3 (PTX3) is one of the pattern-recognition receptors related to the initial step of the immune response with C-reactive protein, but the physiologic and pathologic functions are not fully understood. The purpose of the current study was to determine the impact of PTX3 levels on mortality after ischemic stroke. METHODS: We consecutively enrolled 376 patients who had ischemic stroke between September 2004 and September 2006. The patients were divided into tertiles according to PTX3 levels. Cox regression analysis was used to determine hazard ratios (HRs) and 95% confidence intervals (CIs) of the PTX3 tertiles for all-cause mortality with adjustment for traditional risk factors and laboratory variables, including C-reactive protein. RESULTS: During the follow-up, 19.4% of the patients were deceased. The median PTX3 levels were higher in the deceased patients (18.0 vs. 6.4 ng/mL, p<0.001). Based on Cox regression analysis, compared with the first tertile of PTX3, the adjusted HRs of the second and third tertiles for all-cause mortality were 1.24 (95% CI, 0.52-2.98) and 2.64 (95% CI, 1.19-5.85), respectively. When the log-transformed levels of PTX3 were incorporated as continuous variables, higher levels of PTX3 were also associated with an increased mortality (increase per log unit; HR, 1.60; 95% CI, 1.19-2.16). CONCLUSIONS: We showed that higher levels of PTX3 are independently associated with increased mortality after ischemic stroke. Our results suggest that PTX3 may be used as a new powerful prognostic biomarker in patients with ischemic stroke.
Authors: Catherine J Augello; Jessica M Noll; Timothy J Distel; Jolita D Wainright; Charles E Stout; Byron D Ford Journal: Brain Res Date: 2018-08-09 Impact factor: 3.252
Authors: Akihiro Shindo; Takakuni Maki; Emiri T Mandeville; Anna C Liang; Naohiro Egawa; Kanako Itoh; Naoki Itoh; Mia Borlongan; Julie C Holder; Tsu Tshen Chuang; John D McNeish; Hidekazu Tomimoto; Josephine Lok; Eng H Lo; Ken Arai Journal: Stroke Date: 2016-03-10 Impact factor: 7.914
Authors: Cecilia Garlanda; Barbara Bottazzi; Elena Magrini; Antonio Inforzato; Alberto Mantovani Journal: Physiol Rev Date: 2018-04-01 Impact factor: 37.312