scholarly journals Intra-abdominal hypertension as a risk factor of death in patients with severe sepsis or septic shock

Critical Care ◽  
2007 ◽  
Vol 11 (Suppl 2) ◽  
pp. P319 ◽  
Author(s):  
A Reintam ◽  
P Parm ◽  
R Kitus ◽  
H Kern ◽  
J Starkopf
2021 ◽  
Author(s):  
Yoshitaka Sekine ◽  
Kazuhiko Kotani ◽  
Daisuke Oka ◽  
Hiroshi Nakayama ◽  
Yoshiyuki Miyazawa ◽  
...  

Abstract Background Recently, presepsin is reported to be a biomarker for early diagnosis of sepsis and evaluation of prognosis in septic patients, but there are few reports about urinary-tract infections. The objective of this study is to evaluate whether presepsin is a recent marker for detecting severe sepsis, and whether it can predict the therapeutic course in UTI when compared with procalcitonin (PCT) and C-reactive protein (CRP), already used markers.Methods From April 2014 to December 2016, a total of 50 patients, who were admitted into Gunma university hospital with urinary-tract infections, were enrolled in this study. Vital signs, presepsin, PCT, CRP, white blood cell (WBC), causative diseases of urinary-tract infections and other data were evaluated at the enrollment, third and fifth days. The patients were divided into two groups; with (n=11) or without (n=39) septic shock at the enrollment day, and with (n=7) or without (n=43) sepsis at the fifth day, respectively. Presepsin was evaluated for systemic inflammatory response syndrome (SIRS) or septic shock. Results Concerning the enrollment day, there was no significant difference of presepsin between SIRS and non-SIRS groups (p=0.276). The median presepsin (pg/mL) was significantly higher in the septic shock group (p<0.001). Multivariate logistic regression analysis showed presepsin (≧ 500 pg/ml) was an independent risk factor associated with septic shock (p=0.007). ROC curve for diagnosing septic shock indicated an area under the curve (AUC) at 0.881 for presepsin (vs. 0.690, 0.583 and 0.527 for PCT, CRP and WBC, respectively). Concerning the 5th day after admission, the median presepsin of the enrollment day was significantly higher in SIRS groups than non-SIRS groups (p=0.006). On the other hand, PCT (≥ 2 ng/ml) of the enrollment day was an independent risk factor associated with SIRS. ROC curve for diagnosing sepsis at the fifth day indicated an AUC at 0.837 for PCT (vs. 0.817, 0.811 and 0.802 for presepsin, CRP and WBC, respectively).Conclusions This study shows that presepsin may be a good marker for diagnosis of severe patients who need vasopressor therapy at the data of admission, and PCT may be a good marker for predicting hard-to-treat cases in UTI.


2013 ◽  
Vol 114 (4) ◽  
pp. 246-257 ◽  
Author(s):  
Miroslav Průcha ◽  
R. Zazula ◽  
I. Herold ◽  
M. Dostál ◽  
T. Hyánek ◽  
...  

In this retrospective study we assessed the frequency of hypogammaglobulinemia in 708 patients with SIRS, severe sepsis and septic shock. We evaluated the relationship between hypogammaglobulinemia IgG, IgM and 28 day mortality. Total of 708 patients and 1,513 samples were analyzed. In the three subgroups we investigated, patients met the criteria of SIRS, severe sepsis and septic shock. IgG hypogammaglobulinemia was demonstrated in 114 patients with severe sepsis (25.2%), 11 septic shock patients (24.4%), and in 29 SIRS patients (13.9%). IgM hypogammaglobulinemia was documented in 55 patients with severe sepsis (12.2%), 6 septic shock patients (13.3%), and in 17 SIRS patients (8.1%). Mortality of patients with severe sepsis and normal IgG levels was significantly lower (111 patients; 32.8%) compared with those with IgG hypogammaglobulinemia (49 patients; 43.0%; p=0.001). Mortality of patients with septic shock and IgG hypogammaglobulinemia (n=5) was significantly higher compared with those with normal IgG levels (45.5% vs. 38.2%; p=0.001). Mortality of patients with severe sepsis and IgM hypogammaglobulinemia did not differ from that of patients with normal IgM levels (37.0 vs. 41.8%). Mortality of patients with septic shock and IgM hypogammaglobulinemia was significantly higher compared with those with normal IgM levels (50% vs. 38.5%; p=0.0001). This study documented relatively high incidence of hypogammaglobulinemia IgG and IgM in patients with severe sepsis, septic shock and SIRS respectively. The presence of IgG hypogammaglobulinemia in patients with severe sepsis is independent factor of mortality.


2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Duc Nam Nguyen ◽  
Luc Huyghens ◽  
Haibo Zhang ◽  
Johan Schiettecatte ◽  
Johan Smitz ◽  
...  

Objectives. To investigate cortisol levels in brain dysfunction in patients with severe sepsis and septic shock.Methods. In 128 septic and sedated patients, we studied brain dysfunction including delirium and coma by the evaluation of Richmond Agitation Sedation Scale (RASS), the Confusion Method Assessment in the ICU (CAM-ICU) after sedation withdrawal and the measurement of serum S100B biomarker of brain injury. Serum cortisol and S100B were measured within 12 hours after ICU admission and daily over the next four days.Results. Brain dysfunction was observed in 50% (64/128) before but in 84% (107/128) of patients after sedation withdrawal, and was more common in the patients older than 57 years (P= 0.009). Both cortisol (P= 0.007) and S100B levels (P= 0.028) were higher in patients with than patients without brain dysfunction. Cortisol levels were associated with ICU mortality (hazard ratio = 1.17,P= 0.024). Multivariate logistic regression showed that cortisol (odds ratio (OR): 2.34, 95% CI (2.01, 3.22),P= 0.02) and the combination effect of cortisol with age (OR: 1.004, 95% CI (1.002, 1.93),P= 0.038) but not S100B were associated with brain dysfunction.Conclusions. Cortisol was an associated-risk factor of brain dysfunction in patients with severe sepsis and septic shock.


Critical Care ◽  
2009 ◽  
Vol 13 (2) ◽  
pp. R43 ◽  
Author(s):  
Annick Legras ◽  
Bruno Giraudeau ◽  
Annie-Pierre Jonville-Bera ◽  
Christophe Camus ◽  
Bruno François ◽  
...  

2018 ◽  
Vol 6 (3) ◽  
pp. 479-484 ◽  
Author(s):  
Bedri Braha ◽  
Dafina Mahmutaj ◽  
Mehmet Maxhuni ◽  
Burim Neziri ◽  
Shaip Krasniqi

AIM: To analyse the correlation of procalcitonin (PCT) and C-reactive protein (CRP) values with increased intra-abdominal pressure and to evaluate their predictive role in the progression of Intra-abdominal infections.MATERIALS AND METHODS: A non-randomized prospective study conducted in the group of 80 patients. We have measured the PCT, CRP and intra-abdominal pressure (IAP).RESULTS: According to IAH grades (G), there was a significant difference of PCT values: G I 3.6 ± 5.1 ng/ml, G II 10.9 ± 22.6 ng/ml, G III 15.2 ± 30.2 ng/ml (p = 0.045) until CRP values were increased in all IAH groups but without distinction between the groups: GI 183 ± 64.5, GII 196 ± 90.2, GIII 224 ± 96.3 (p = 0.17). According to the severity of the infection, we yielded increased values of PCT, IAP and CRP in septic shock, severe sepsis and SIRS/sepsis resulting in significant differences of PCT and IAP.CONCLUSION: Based on the results of our research, we conclude that the correlation of PCT values with IAH grades is quite significant while the CRP results remain high in IAH but without significant difference between the different grades of IAH.


MedPharmRes ◽  
2018 ◽  
Vol 2 (3) ◽  
pp. 27-32
Author(s):  
Bien Le ◽  
Dai Huynh ◽  
Mai Tuan ◽  
Minh Phan ◽  
Thao Pham ◽  
...  

Objectives: to evaluate the fluid responsiveness according to fluid bolus triggers and their combination in severe sepsis and septic shock. Design: observational study. Patients and Methods: patients with severe sepsis and septic shock who already received fluid after rescue phase of resuscitation. Fluid bolus (FB) was prescribed upon perceived hypovolemic manifestations: low central venous pressure (CVP), low blood pressure, tachycardia, low urine output (UOP), hyperlactatemia. FB was performed by Ringer lactate 500 ml/30 min and responsiveness was defined by increasing in stroke volume (SV) ≥15%. Results: 84 patients were enrolled, among them 30 responded to FB (35.7%). Demographic and hemodynamic profile before fluid bolus were similar between responders and non-responders, except CVP was lower in responders (7.3 ± 3.4 mmHg vs 9.2 ± 3.6 mmHg) (p 0.018). Fluid response in low CVP, low blood pressure, tachycardia, low UOP, hyperlactatemia were 48.6%, 47.4%, 38.5%, 37.0%, 36.8% making the odd ratio (OR) of these triggers were 2.81 (1.09-7.27), 1.60 (0.54-4.78), 1.89 (0.58-6.18), 1.15 (0.41-3.27) and 1.27 (0.46-3.53) respectively. Although CVP < 8 mmHg had a higher response rate, the association was not consistent at lower cut-offs. The combination of these triggers appeared to raise fluid response but did not reach statistical significance: 26.7% (1 trigger), 31.0% (2 triggers), 35.7% (3 triggers), 55.6% (4 triggers), 100% (5 triggers). Conclusions: fluid responsiveness was low in optimization phase of resuscitation. No fluid bolus trigger was superior to the others in term of providing a higher responsiveness, their combination did not improve fluid responsiveness as well.


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