Noradrenaline modifies arterial reflection phenomena and left ventricular efficiency in septic shock patients: A prospective observational study

2018 ◽  
Vol 47 ◽  
pp. 280-286 ◽  
Author(s):  
Manuel Ignacio Monge García ◽  
Arnoldo Santos ◽  
Beatriz Diez Del Corral ◽  
Pedro Guijo González ◽  
Manuel Gracia Romero ◽  
...  
2020 ◽  
Vol 33 (5) ◽  
pp. 653-659
Author(s):  
Jia Song ◽  
Yun Cui ◽  
Chunxia Wang ◽  
Jiaying Dou ◽  
Huijie Miao ◽  
...  

AbstractBackgroundThyroid hormone plays an important role in the adaptation of metabolic function to critically ill. The relationship between thyroid hormone levels and the outcomes of septic shock is still unclear. The aim of this study was to assess the predictive value of thyroid hormone for prognosis in pediatric septic shock.MethodsWe performed a prospective observational study in a pediatric intensive care unit (PICU). Patients with septic shock were enrolled from August 2017 to July 2019. Clinical and laboratory indexes were collected, and thyroid hormone levels were measured on PICU admission.ResultsNinety-three patients who fulfilled the inclusion criteria were enrolled in this study. The incidence of nonthyroidal illness syndrome (NTIS) was 87.09% (81/93) in patients with septic shock. Multivariate logistic regression analysis showed that T4 level was independently associated with in-hospital mortality in patients with septic shock (OR: 0.965, 95% CI: 0.937–0.993, p = 0.017). The area under receiver operating characteristic (ROC) curve (AUC) for T4 was 0.762 (95% CI: 0.655–0.869). The cutoff threshold value of 58.71 nmol/L for T4 offered a sensitivity of 61.54% and a specificity of 85.07%, and patients with T4 < 58.71 nmol/L showed high mortality (60.0%). Moreover, T4 levels were negatively associated with the pediatric risk of mortality III scores (PRISM III), lactate (Lac) level in septic shock children.ConclusionsNonthyroidal illness syndrome is common in pediatric septic shock. T4 is an independent predictor for in-hospital mortality, and patients with T4 < 58.71 nmol/L on PICU admission could be with a risk of hospital mortality.


2021 ◽  
Author(s):  
Sukyo Lee ◽  
Juhyun Song ◽  
Dae Won Park ◽  
Hyeri Seok ◽  
Jae-hyung Cha ◽  
...  

Abstract Background: Sepsis is life-threatening organ dysfunction due to a dysregulated host response to infection. Early diagnosis of sepsis is challenging due to unknown sources of infection, and mortality prediction is usually complex. We aimed to investigate the clinical value of presepsin for discriminating sepsis from non-infectious organ failure and predicting mortality among sepsis patients in the emergency department (ED).Methods: This prospective observational study included 420 patients divided into three groups according to the Sepsis-3 definitions: non-infectious organ failure (n=142), sepsis (n=141), and septic shock (n=137). Blood samples for biomarker measurement of presepsin, procalcitonin, and C-reactive protein were drawn in the ED and biomarker levels were compared between the groups. Optimal cut-off values for presepsin to discriminate between the three clinical diagnoses were evaluated using receiver operating characteristic (ROC) curve analysis. We also performed ROC curve analysis for each biomarker as a predictor of mortality. After excluding non-infectious organ failure, we extracted the optimal cut-off value of presepsin to predict mortality associated with sepsis and septic shock and performed Kaplan–Meier survival curve analysis according to the cut-off value.Results: Presepsin levels (median [IQR]) were significantly higher in sepsis than in non-infectious organ failure (792 [450–1273] vs. 286 [170–417], p <0.001) and significantly higher in septic shock than in sepsis (1287 [589–2365] vs. 792 [450–1273], p=0.002). The optimal cut-off value for presepsin to discriminate between sepsis and non-infectious organ failure was 582 pg/mL (sensitivity, 70.1; specificity, 89.4; AUC, 0.877; p <0.001) and to discriminate between sepsis and septic shock was 1285 pg/mL (sensitivity, 50.4; specificity, 76.6; AUC, 0.618; p <0.001). The optimal cut-off value for presepsin for predicting 30-day mortality was 821 pg/mL (sensitivity, 68.9; specificity, 50.5; AUC, 0.605; p=0.005) in patients with sepsis and septic shock. Kaplan-Meier survival curve analysis showed that patients with higher presepsin levels (≥821 pg/mL) had significantly higher mortality than patients with lower presepsin levels (<821 pg/mL) (log-rank test; p=0.004). Conclusions: Presepsin levels could effectively differentiate sepsis from non-infectious organ failure and septic shock from sepsis. Presepsin levels could help clinicians predict mortality in patients with sepsis and septic shock.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Anja Lindén-Søndersø ◽  
Mårten Jungner ◽  
Martin Spångfors ◽  
Mohammed Jan ◽  
Adam Oscarson ◽  
...  

Critical Care ◽  
2014 ◽  
Vol 18 (3) ◽  
pp. R92 ◽  
Author(s):  
Nara Costa ◽  
Ana Gut ◽  
José Alexandre Pimentel ◽  
Silvia Maria Cozzolino ◽  
Paula Azevedo ◽  
...  

2021 ◽  
Author(s):  
Hamed Aminiahidashti ◽  
Mohammad Sazgar ◽  
Fatemeh Jahanian ◽  
Soroush Niksalehi ◽  
Iraj Golikhatir

Abstract BackgroundSeptic shock, a complication characterized by altered tissue perfusion, is associated with high mortality if left untreated. Renal resistive index (RRI) reflects changes in intrarenal perfusion. Therefore, the present study aimed at investigating changes in RRI during resuscitation of patients with septic shock and evaluating its relationship with other micro- and macrociculatory perfusion parameters.MethodsThe present prospective observational study was performed on all patients referring to the emergency department intensive care unit (ED-ICU) diagnosed with septic shock from July 2018 to September 2019. Demographic characteristics of the study subjects were recorded and their hemodynamic, paraclinical, and RRI values were measured at three time points of on arrival, and 30 and 120 minutes and six hours after admission, by ultrasound.ResultsA total of 109 subjects entered data analysis; their mean age was 67.62 ± 14.67 years, of which 65 (59.1) were male. The RRI values were 0.71 ± 0.27, on arrival, at 30 and 0.70 ± 0.1 on 60 minutes, at six hours after treatment onset, respectively, showing that RRI values decreased during the study, which was statistically significant (P-value= 0.00). ConclusionA decrease in RRI value during resuscitation is associated with an increase in MAP in patients with septic shock. Accordingly, RRI can be used as an indicator of microcirculatory perfusion in the treatment process and volume assessment of patients with septic shock.


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