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Hepatic and Renal Biochemical Markers as Predictors of Mortality Among Critically Ill Systemic Inflammatory Response Syndrome Patients.

ABSTRACT: Systemic inflammatory response syndrome (SIRS) is a frequently encountered complication seen in intensive care unit patients and remains a common cause of mortality. Assessing prognosis of those becomes a priority and indeed we have various efficient scoring systems for the same. However they use enormous data and involve complex calculations for scoring. We intended to find a simple, inexpensive, accurate diagnostic tool of certain markers to predict mortality outcome among critically ill SIRS patients and to evaluate their efficiency in comparison to Acute Physiology and Chronic Health Evaluation II (APACHE II) scoring system. Eighty-seven patients were selected and general hepatic, renal and urinary investigations were done for them at 24 h of admission and were followed up for a period of 4 weeks from admission date to classify them as survivors and non-survivors. Twenty-one percent patients had succumbed to death during study period. Urine albumin-creatinine ratio, alanineaminotransferase, aspartate aminotransferase and prothrombin time/International Normalized Ratio were found to be correlating with APACHE II scores and mortality significantly. Specific individual cut-offs were found for these parameters and were combined to form combined predictors which showed good discrimination (AUC = 0.715) and good calibration (p = 0.811) with specificity of 98.6% in predicting mortality. SIRS patients falling above combined predictor's cutoff are 54 times more likely to have an unfavorable outcome compared to the ones below. Overall predictive accuracy of first day combined predictors was such that within 24 h of ICU admission 87% of ICU SIRS admissions could be given a risk estimate for hospital death.

SUBMITTER: Srivatsan R

PROVIDER: S-EPMC6486938 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Background: Patients with antineutrophil cytoplasmic antibody-associated vasculitis (AAV) may require intensive care unit (ICU) admission due to different reasons, and the in-ICU mortality is high among AAV patients. The aim of this study was to explore the clinical features and risk factors of mortality of patients with AAV in the ICU. Methods: A retrospective study was conducted based on 83 AAV patients admitted to the ICU in a tertiary medical institution in China. Data on clinical characteristics, laboratory tests, treatment in ICU and outcomes were collected. The data were analyzed using univariate and multivariate logistic regression analysis to explore the variables that were independently related to mortality. Kaplan-Meier method was used to assess the long-term survival. Results: Among the 83 patients, 41 (49.4%) were female. The mean age of patients was 66 ± 13 years. Forty-four patients deceased, with the in-ICU mortality of 53%. The most common cause for ICU admission was active vasculitis (40/83, 48.2%). The main cause of death was infection (27/44, 61.4%) followed by active vasculitis (15/44, 34.1%). A multivariate analysis revealed that the Acute Physiology and Chronic Health Evaluation II (APACHE II) at ICU admission (OR = 1.333, 95% CI: 1.031-1.722) and respiratory failure (OR = 620.452, 95% CI: 11.495-33490.306) were independent risk factors of in-ICU death. However, hemoglobin (OR = 0.919, 95% CI: 0.849-0.995) was an independent protective factor. The nomogram established in this study was practical in predicting the risk of in-ICU mortality for AAV patients. Moreover, for 39 patients survived to the ICU stay, the cumulative survival rates at 0.5, 1, and 5 years were 58.3%, 54.2%, and 33.9%, respectively, and the median survival time was 14 months. Conclusion: In our study, active vasculitis was the most frequent reason for ICU admission, and the main cause of death was infection. APACHE II and respiratory failure were independent risk factors while hemoglobin was an independent protective factor of in-ICU mortality for AAV patients admitted to the ICU. The risk prediction model developed in this study may be a useful tool for clinicians in early recognition of high-risk patients and applying appropriate management.

Project description:BackgroundSurvivors of critical illness complicated by acute kidney injury requiring renal replacement therapy (RRT) are at an increased risk of dialysis dependence and death but the mechanisms are unknown.MethodsIn a multicenter, prospective, cohort study of 817 critically ill patients receiving RRT, we examined association between Day 1 plasma inflammatory [interleukin (IL)-1β, IL-6, IL-8, IL-10 and IL-18; macrophage migration inhibitory factor (MIF) and tumor necrosis factor]; apoptosis [tumor necrosis factor receptor (TNFR)-I and TNFR-II and death receptor (DR)-5]; and growth factor (granulocyte macrophage colony stimulating factor) biomarkers and renal recovery and mortality at Day 60. Renal recovery was defined as alive and RRT independent.ResultsOf 817 participants, 36.5% were RRT independent and 50.8% died. After adjusting for differences in demographics, comorbid conditions; premorbid creatinine; nephrotoxins; sepsis; oliguria; mechanical ventilation; RRT dosing; and severity of illness, increased concentrations of plasma IL-8 and IL-18 and TNFR-I were independently associated with slower renal recovery [adjusted hazard ratio (AHR) range for all markers, 0.70-0.87]. Higher concentrations of IL-6, IL-8, IL-10 and IL-18; MIF; TNFR-I and DR-5 were associated with mortality (AHR range, 1.16-1.47). In an analysis of multiple markers simultaneously, increased IL-8 [AHR, 0.80, 95% confidence interval (95% CI) 0.70-0.91, P < 0.001] and TNFR-I (AHR, 0.63, 95% CI 0.50-0.79, P < 0.001) were associated with slower recovery, and increased IL-8 (AHR, 1.26, 95% CI 1.14-1.39, P < 0.001); MIF (AHR, 1.18, 95% CI 1.08-1.28, P < 0.001) and TNFR-I (AHR, 1.26, 95% CI 1.02-1.56, P < 0.03) were associated with mortality.ConclusionsElevated plasma concentrations of inflammatory and apoptosis biomarkers are associated with RRT dependence and death. Our data suggest that future interventions should investigate broad-spectrum immune-modulation to improve outcomes.

Project description:Background and aimsClinical characteristics and factors associated with mortality in patients admitted to the intensive care unit (ICU) in countries with low case fatality rates (CFR) are unknown. We sought to determine these in a large cohort of critically ill COVID-19 patients in Qatar and explore the early mortality predictors.MethodsWe retrospectively studied the clinical characteristics and outcomes in patients admitted to the ICU at the national referral hospital for COVID-19 patients in Qatar. Logistic regression analysis was used to determine factors associated with mortality.ResultsBetween March 7 and July 16, 2020, a total of 1079 patients with COVID-19 were admitted to the ICU. The median (IQR) age of patients was 50 (41-59) years. Diabetes (47.3%) and hypertension (42.6%) were the most common comorbidities. In-hospital mortality was 12.6% overall and 25.9% among those requiring mechanical ventilation. Factors independently associated with mortality included older age ([OR]; 2.3 [95% CI; 1.92-2.75] for each 10-year increase in age, p < 0.001), chronic kidney disease (OR; 1.9 [95% CI; 1.02-3.54], p = 0.04), active malignancy (OR; 6.15 [95% CI; 1.79-21.12], p = 0.004), lower platelet count at ICU admission (OR; 1.41 [95% CI; 1.13-1.75] for each 100 × 103/µl decrease, p = 0.002), higher neutrophil-to-lymphocyte ratio at admission (OR; 1.01 [95% CI; 1-1.02] for each 1- point increase, p = 0.016), higher serum ferritin level at admission (OR; 1.05 [(95% CI; 1.02-1.08] for each 500 µg/L increase, p = 0.002), and higher serum bilirubin level at admission (OR; 1.19 [95% CI; 1.04-1.36] for each 10 μmol/L increase, p = 0.01).ConclusionsThe mortality rate among critically ill COVID-19 patients is low in Qatar compared to other countries. Older age, chronic kidney disease, active malignancy, higher neutrophil-to-lymphocyte ratios, lower platelet counts, higher serum ferritin levels, and higher serum bilirubin levels are independent predictors of in-hospital mortality.

Project description:Independent predictors of mortality and transfusion therapy in polytrauma patients from the Chinese population remain unknown. Here, we aimed to identify these predictors by retrospectively collecting and analyzing vital signs and laboratory results for 408 critically ill patients suffering from polytrauma who were treated in Affiliated Kunshan Hospital of Jiangsu University, Jiangsu Province, China from January 2020 to December 2021. We identified risk factors for mortality and transfusion therapy using logistic regression analysis. As a results, we enrolled a total of 408 polytrauma patients, with a male-to-female ratio of 2:1, a mean age of 49.02 ± 16.84 years, a mortality rate of 15.9 %, and a blood transfusion rate of 45.8 %. The multivariate logistic regression showed that decreased Glasgow Coma Scale (GCS) score (Odds ratio (OR) = 0.72, 95 % confidence interval (95%CI): 0.63-0.83, P < 0.001), decreased base excess (BE) (OR = 0.77, 95%CI: 0.67-0.87, P < 0.001), and increased Injury Severity Score (ISS) (OR = 1.12, 95%CI: 1.06-1.17, P < 0.001) were independent risk factors for the mortality. In addition, increased GCS score (OR = 1.17, 95%CI: 1.03-1.35, P = 0.020), increased heart rate (OR = 1.05, 95%CI: 1.04-1.07, P < 0.001), decreased systolic blood pressure (SBP) (OR = 0.97, 95%CI: 0.96-0.99, P < 0.001), increased peripheral oxygen saturation (SpO2) (OR = 1.10, 95%CI: 1.04-1.16, P = 0.002), decreased serum lactate (OR = 0.58, 95%CI: 0.42-0.79, P = 0.001), decreased BE (OR = 0.49, 95%CI: 0.39-0.62, P < 0.001), and increased ISS (OR = 1.25, 95%CI: 1.18-1.33, P < 0.001) were independent risk factors for blood transfusion. The area under receiver operating characteristic curves (AUROCs) of the model to predict mortality and blood transfusion were 0.976 (95%CI: 0.960-0.992, P < 0.001) and 0.973 (95%CI: 0.958-0.987, P < 0.001). In conclusion, decreased BE level was significantly associated with all-cause mortality in polytrauma patients. BE, ISS, and GCS might be independent important predictors for mortality and blood transfusion of polytrauma patients.

Project description:ObjectiveTo evaluate the association of etomidate with postintubation hypotension, inflammation, and mortality in critically ill patients with COVID-19.DesignInternational, multicenter, retrospective study.ParticipantsCritically ill patients hospitalized specifically for COVID-19 from three major academic institutions in the US and Europe.Main outcome and measuresPatients were allocated into the etomidate (ET) group or another induction agent (OA) group. The primary outcome was postintubation hypotension. Secondary outcomes included postintubation inflammatory status, in-hospital mortality, and mortality at 30 days.Results171 patients with a median age of 68 (IQR 58-73) years were included (ET, n = 98; OA, n = 73). Etomidate was associated with lower postintubation mean arterial pressure [74.33 (64-85) mm Hg versus 81.84 (69.75-94.25) mm Hg, p = 0.005] compared to other agents. No statistically significant differences were generally observed in inflammatory markers between the two groups at 7- and 14-days after admission to the intensive care unit. In-hospital mortality [77 (79%) versus 41 (56%), p = 0.003] and mortality at 30-days [78 (80%) versus 43 (59%), p = 0.006] were higher in the ET group. In multivariate logistic regression analysis, only etomidate (p = 0.009) and postintubation mean arterial pressure (p < 0.001) had a statistically significant effect on mortality, in contrast to stress-dose steroids (p = 0.301), after adjusting for creatinine (p = 0.695), blood urea nitrogen (p = 0.153), age (p = 0.055), oxygen saturation of hemoglobin (SpO2) (p = 0.941), and fraction of inspired oxygen (FiO2) (p = 0.712).ConclusionsAdministration of a single-bolus dose of etomidate in critically ill patients with COVID-19 is associated with lower postintubation mean arterial pressure and higher in-hospital and 30-day mortality compared to other induction agents.

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Hepatic and Renal Biochemical Markers as Predictors of Mortality Among Critically Ill Systemic Inflammatory Response Syndrome Patients.

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