Correlation of Nitrite Oxide with Severity and Survival Rate of Sepsis Patients

Author(s):  
Sotianingsih Sotianingsih ◽  
Budi Mulyono ◽  
Andaru Dahesihdewi ◽  
Samsirun Halim ◽  
Ahmad Syauqi

The objective of this research was to determine the correlation between Nitric Oxide (NO) levels with the severity ofsepsis, to describe the kinetics of NO levels, and to evaluate it in predicting mortality. This research was a longitudinal cohortobservational analytical study. The variables were serum NO levels and SOFA scores, which were serially evaluated. Thecorrelation test and difference test were used for statistical analysis. The survivor and the non-survivor group consisted of 14(41.18%) and 20 (58.82%) patients, respectively. There was a correlation between serum NO levels and the SOFA score at the24-hour observation (r=0.403; p=0.041). Non-parametric Mann-Whitney test showed that there was no kinetics of NOth levels at 0, 24, 72, and 144-hour observation (p-values =0.897 and 0.703, respectively). NO levels > 111,16 μmol/L at the 24hour could predict the risk of death with hazard ratio 4.7 compared to NO levels < 111,16 μmol/L. The survival rate ofpatients with serum NO levels <111,16 μmol/L and > 111,16 μmol/L was 83.3% and 37.5%, respectively. There was acorrelation between serum NO levels and SOFA scores at the 24-hour observation. However, there was no kinetics of NOlevels at serial evaluations. Nitric oxide levels with a cut-off of 111,16 μmol/L at 24 hours could predict the survival of septicth patients. Utilization of serum NO level at 24 hour can be used to evaluate the severity of septic patients and aggressivemanagement if there is an increase in serum NO levels > 111,16 μmol/L at 24 hours.

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.


FEBS Journal ◽  
2006 ◽  
Vol 274 (3) ◽  
pp. 677-686 ◽  
Author(s):  
João B. Vicente ◽  
Francesca M. Scandurra ◽  
João V. Rodrigues ◽  
Maurizio Brunori ◽  
Paolo Sarti ◽  
...  

1977 ◽  
Vol 10 (2) ◽  
pp. 120-124 ◽  
Author(s):  
HARUO HIKITA ◽  
SATORU ASAI ◽  
HARUO ISHIKAWA ◽  
SHIGEYUKI HIRANO

2021 ◽  
Author(s):  
Mansour Bahardoust ◽  
Mohammad Ali Abyazi ◽  
Sayed Ali Emami ◽  
Parmida Ghadimi ◽  
Mehrdad Khodabandeh ◽  
...  

1992 ◽  
Vol 70 (5) ◽  
pp. 1014-1020 ◽  
Author(s):  
W. Duo ◽  
K. Dam-Johansen ◽  
K. Østergaard

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