scholarly journals High Baseline C-Reactive Protein Level Can Predict the Occurrence of the Jarisch–Herxheimer Reaction in Patients with Active Syphilis

2021 ◽  
Vol Volume 14 ◽  
pp. 5121-5129
Author(s):  
Yu-Ting Tseng ◽  
Pei-Yun Chou ◽  
Ming-Hong Tai ◽  
Chia-Yen Dai ◽  
Susan Shin-Jung Lee ◽  
...  
Keyword(s):  
Protein Level ◽  
C Reactive Protein ◽  
High Baseline ◽  
Reactive Protein ◽  
Active Syphilis

scholarly journals Predictive factors of perforated appendicitis: Impact of the C-reactive protein level

2021 ◽  
Author(s):  
Shiori Yamazaki ◽  
Yusuke Shimodaira ◽  
Akira Kobayashi ◽  
Manabu Takata ◽  
Kaori Hayashibara ◽  
...  
Keyword(s):  
Predictive Factors ◽  
Protein Level ◽  
Perforated Appendicitis ◽  
C Reactive Protein ◽  
Reactive Protein

scholarly journals Clinical characteristics and risk factors for mortality in COVID-19 inpatients in Birjand, Iran: a single-center retrospective study

2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Ghodsiyeh Azarkar ◽  
Freshteh Osmani
Keyword(s):  
Risk Factors ◽  
Platelet Count ◽  
Protein Level ◽  
Clinical Characteristics ◽  
Single Center ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Risk Of Death ◽  
Survivor Group ◽  
Epidemiological Characteristics

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.

Early-mid treatment C-reactive protein level is a prognostic factor in aggressive non-Hodgkin?s lymphoma

2007 ◽  
Vol 79 (2) ◽  
pp. 150-154 ◽  
Author(s):  
Yair Herishanu ◽  
Chava Perry ◽  
Rony Braunstein ◽  
Ur Metser ◽  
Odelia Goor ◽  
...  
Keyword(s):  
Prognostic Factor ◽  
Protein Level ◽  
C Reactive Protein ◽  
Reactive Protein

C-reactive protein level is linked to T-wave axis deviation in a healthy Italian population: results from the MOLI-SANI project

2012 ◽  
Vol 45 (6) ◽  
pp. 695
Author(s):  
Martino Vaglio ◽  
Livia Rago ◽  
Augusto Di Castelnuovo ◽  
Deodato Assanelli ◽  
Fabio Badilini ◽  
...  
Keyword(s):  
Protein Level ◽  
Italian Population ◽  
Axis Deviation ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
T Wave ◽  
T Wave Axis
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