scholarly journals C-Reactive Protein Level Measurement Improves Mortality Prediction When Added to the Spontaneous Intracerebral Hemorrhage Score

Stroke ◽  
2011 ◽  
Vol 42 (5) ◽  
pp. 1230-1236 ◽  
Author(s):  
Mario Di Napoli ◽  
Daniel Agustin Godoy ◽  
Veronica Campi ◽  
Marta del Valle ◽  
Gustavo Piñero ◽  
...  
2020 ◽  
Vol 9 (4) ◽  
pp. 1236 ◽  
Author(s):  
Michael Bender ◽  
Kristin Haferkorn ◽  
Michaela Friedrich ◽  
Eberhard Uhl ◽  
Marco Stein

Objective: The impact of increased C-reactive protein (CRP)/albumin ratio on intra-hospital mortality has been investigated among patients admitted to general intensive care units (ICU). However, it was not investigated among patients with spontaneous intracerebral hemorrhage (ICH). This study aimed to investigate the impact of CRP/albumin ratio on intra-hospital mortality in patients with ICH. Patients and Methods: This retrospective study was conducted on 379 ICH patients admitted between 02/2008 and 12/2017. Blood samples were drawn upon admission and the patients’ demographic, medical, and radiological data were collected. The identification of the independent prognostic factors for intra-hospital mortality was calculated using binary logistic regression and COX regression analysis. Results: Multivariate regression analysis shows that higher CRP/albumin ratio (odds ratio (OR) = 1.66, 95% confidence interval (CI) = 1.193–2.317, p = 0.003) upon admission is an independent predictor of intra-hospital mortality. Multivariate Cox regression analysis indicated that an increase of 1 in the CRP/albumin ratio was associated with a 15.3% increase in the risk of intra-hospital mortality (hazard ratio = 1.153, 95% CI = 1.005–1.322, p = 0.42). Furthermore, a CRP/albumin ratio cut-off value greater than 1.22 was associated with increased intra-hospital mortality (Youden’s Index = 0.19, sensitivity = 28.8, specificity = 89.9, p = 0.007). Conclusions: A CRP/albumin ratio greater than 1.22 upon admission was significantly associated with intra-hospital mortality in the ICH patients.


2017 ◽  
Vol 26 (5) ◽  
pp. 1007-1012 ◽  
Author(s):  
Youssef Zied Elhechmi ◽  
Malek Hassouna ◽  
Mohamed A. Chérif ◽  
Rym Ben Kaddour ◽  
Ines Sedghiani ◽  
...  

Author(s):  
Shiori Yamazaki ◽  
Yusuke Shimodaira ◽  
Akira Kobayashi ◽  
Manabu Takata ◽  
Kaori Hayashibara ◽  
...  

2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Ghodsiyeh Azarkar ◽  
Freshteh Osmani

Abstract Background The coronavirus disease 2019(COVID-19) has affected mortality worldwide. The Cox proportional hazard (CPH) model is becoming more popular in time-to-event data analysis. This study aimed to evaluate the clinical characteristics in COVID-19 inpatients including (survivor and non-survivor); thus helping clinicians give the right treatment and assess prognosis and guide the treatment. Methods This single-center study was conducted at Hospital for COVID-19 patients in Birjand. Inpatients with confirmed COVID-19 were included. Patients were classified as the discharged or survivor group and the death or non-survivor group based on their outcome (improvement or death). Clinical, epidemiological characteristics, as well as laboratory parameters, were extracted from electronic medical records. Independent sample T test and the Chi-square test or Fisher’s exact test were used to evaluate the association of interested variables. The CPH model was used for survival analysis in the COVID-19 death patients. Significant level was set as 0.05 in all analyses. Results The results showed that the mortality rate was about (17.4%). So that, 62(17%) patients had died due to COVID-19, and 298 (83.6%) patients had recovered and discharged. Clinical parameters and comorbidities such as oxygen saturation, lymphocyte and platelet counts, hemoglobin levels, C-reactive protein, and liver and kidney function, were statistically significant between both studied groups. The results of the CPH model showed that comorbidities, hypertension, lymphocyte counts, platelet count, and C-reactive protein level, may increase the risk of death due to the COVID-19 as risk factors in inpatients cases. Conclusions Patients with, lower lymphocyte counts in hemogram, platelet count and serum albumin, and high C-reactive protein level, and also patients with comorbidities may have more risk for death. So, it should be given more attention to risk management in the progression of COVID-19 disease.


2007 ◽  
Vol 79 (2) ◽  
pp. 150-154 ◽  
Author(s):  
Yair Herishanu ◽  
Chava Perry ◽  
Rony Braunstein ◽  
Ur Metser ◽  
Odelia Goor ◽  
...  

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