scholarly journals Plasma Neutrophil Gelatinase-Associated Lipocalin Is Useful for Predicting Mortality in Critically Ill Patients

2021 ◽  
Vol 10 (12) ◽  
pp. 2576
Author(s):  
Izabela Duda ◽  
Łukasz Krzych
Keyword(s):  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Mortality Prediction ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Icu Mortality ◽  
Icu Admission ◽  
Neutrophil Gelatinase Associated Lipocalin ◽  
Neutrophil Gelatinase

Elevated neutrophil gelatinase-associated lipocalin (NGAL) occurs in a wide range of systemic diseases. This study examined the clinical utility of plasma NGAL to predict intensive care unit (ICU) and in-hospital mortality in critically ill patients. A total of 62 patients hospitalized in a mixed ICU were included; pNGAL, creatinine, and C-reactive protein (CRP) were assayed on four consecutive days (D1-D4) following ICU admission. APACHE II score (Acute Physiology and Chronic Health Evaluation) was calculated 24 h post-admission. ICU mortality reached 35% and in-hospital mortality was 39%. The median pNGAL at admission was 142.5 (65.6–298.3) ng/mL. pNGAL was significantly higher in non-survivors compared to survivors. The highest accuracy for ICU mortality prediction was achieved at the pNGAL cutoff of 93.91 ng/mL on D4 area under the curve (AUC) = 0.89; 95%CI 0.69–0.98 and for in-hospital mortality prediction was achieved at the pNGAL cutoff of 176.64 ng/mL on D3 (AUC = 0.86; 95%CI 0.69–0.96). The APACHE II score on ICU admission predicted ICU mortality with AUC = 0.89 (95%CI 0.79–0.96) and in-hospital mortality with AUC = 0.86 (95%CI 0.75–0.94). Although pNGAL on D1 poorly correlated with APACHE II (R = 0.3; p = 0.01), the combination of APACHE II and pNGAL on D1 predicted ICU mortality with AUC = 0.90 (95%CI 0.79–0.96) and in-hospital mortality with AUC = 0.95 (95%CI 0.78–0.99). Maximal CRP during study observation failed to predict ICU mortality (AUC = 0.62; 95%CI 0.49–0.74), but helped to predict in-hospital mortality (AUC = 0.67; 95%CI 0.54–0.79). Plasma NGAL with combination with the indices of critical illness is a useful biomarker for predicting mortality in heterogeneous population of ICU patients.

scholarly journals Biomarkers Facilitate the Assessment of Prognosis in Critically Ill Patients with Primary Brain Injury: A Cohort Study

2020 ◽  
Vol 17 (12) ◽  
pp. 4458
Author(s):  
Izabela Duda ◽  
Agnieszka Wiórek ◽  
Łukasz J. Krzych
Keyword(s):  
Cohort Study ◽  
Brain Injury ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Calcium Binding ◽  
Neuron Specific Enolase ◽  
Mortality Prediction ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Icu Admission

Primary injuries to the brain are common causes of hospitalization of patients in intensive care units (ICU). The Acute Physiology and Chronic Health Evaluation (APACHE) II scoring system is widely used for prognostication among critically ill subjects. Biomarkers help to monitor the severity of neurological status. This study aimed to identify the best biomarker, along with APACHE II score, in mortality prediction among patients admitted to the ICU with the primary brain injury. This cohort study covered 58 patients. APACHE II scores were assessed 24 h post ICU admission. The concentrations of six biomarkers were determined, including the C-reactive protein (CRP), the S100 calcium-binding protein B (S100B), neuron-specific enolase (NSE), neutrophil gelatinase-associated lipocalin (NGAL), matrix metalloproteinase 9 (MMP-9), and tissue inhibitor of metalloproteinase 1 (TIMP-1), using commercially available ELISA kits. The biomarkers were specifically chosen for this study due to their established connection to the pathophysiology of brain injury. In-hospital mortality was the outcome. Median APACHE II was 18 (IQR 13–22). Mortality reached 40%. Median concentrations of the CRP, NGAL, S100B, and NSE were significantly higher in deceased patients. S100B (AUC = 0.854), NGAL (AUC = 0.833), NSE (AUC = 0.777), and APACHE II (AUC = 0.766) were the best independent predictors of mortality. Combination of APACHE II with S100B, NSE, NGAL, and CRP increased the diagnostic accuracy of mortality prediction. MMP and TIMP-1 were impractical in prognostication, even after adjustment for APACHE II score. S100B protein and NSE seem to be the best predictors of compromised outcome among critically ill patients with primary brain injuries and should be assessed along with the APACHE II calculation after ICU admission.

scholarly journals Serum potassium levels and outcomes in critically ill patients in the medical intensive care unit

2018 ◽  
Vol 46 (3) ◽  
pp. 1254-1262 ◽  
Author(s):  
Surat Tongyoo ◽  
Tanuwong Viarasilpa ◽  
Chairat Permpikul
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Critically Ill ◽  
Serum Potassium ◽  
Critically Ill Patients ◽  
Medical Intensive Care Unit ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Icu Mortality ◽  
Medical Intensive Care

Objective To compare the outcomes of patients with and without a mean serum potassium (K+) level within the recommended range (3.5–4.5 mEq/L). Methods This prospective cohort study involved patients admitted to the medical intensive care unit (ICU) of Siriraj Hospital from May 2012 to February 2013. The patients’ baseline characteristics, Acute Physiology and Chronic Health Evaluation II (APACHE II) score, serum K+ level, and hospital outcomes were recorded. Patients with a mean K+ level of 3.5 to 4.5 mEq/L and with all individual K+ values of 3.0 to 5.0 mEq/L were allocated to the normal K+ group. The remaining patients were allocated to the abnormal K+ group. Results In total, 160 patients were included. Their mean age was 59.3±18.3 years, and their mean APACHE II score was 21.8±14.0. The normal K+ group comprised 74 (46.3%) patients. The abnormal K+ group had a significantly higher mean APACHE II score, proportion of coronary artery disease, and rate of vasopressor treatment. An abnormal serum K+ level was associated with significantly higher ICU mortality and incidence of ventricular fibrillation. Conclusion Critically ill patients with abnormal K+ levels had a higher incidence of ventricular arrhythmia and ICU mortality than patients with normal K+ levels.

Outcomes of Critically Ill Gynecological Cancer Patients Admitted to Intensive Care Unit

2012 ◽  
Vol 30 (1) ◽  
pp. 7-11 ◽  
Author(s):  
Silvio A. Ñamendys-Silva ◽  
María O. González-Herrera ◽  
Julia Texcocano-Becerra ◽  
Angel Herrera-Gómez
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Prognostic Factors ◽  
Mortality Rate ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Gynecological Cancer ◽  
Apache Ii ◽  
Apache Ii Score

Purpose: To assess the characteristics of critically ill patients with gynecological cancer, and to evaluate their prognosis. Methods: Fifty-two critically ill patients with gynecological cancer admitted to intensive care unit (ICU) were included. Univariate and multivariate logistic regressions were used to identify factors associated with hospital mortality. Results: Thirty-five patients (67.3%) had carcinoma of the cervix uteri and 11 (21.2%) had ovarian cancer. The mortality rate in the ICU was 17.3% (9 of 52) and hospital mortality rate were 23%(12 of 52). In the multivariate analysis, independent prognostic factors for hospital mortality were vasopressor use (odds ratio [OR] = 8.60, 95% confidence interval [CI] 2.05-36; P = .03) and the Acute Physiology and Chronic Health Evaluation (APACHE) II score (OR = 1.43, 95% CI 1.01-2.09; P = .048). Conclusions: The independent prognostic factors for hospital mortality were the need for vasopressors and the APACHE II score.

Rapid Muscle Loss Negatively Impacts Survival in Critically Ill Patients With Cirrhosis

2018 ◽  
Vol 35 (7) ◽  
pp. 663-671 ◽  
Author(s):  
Sunmi Ju ◽  
Sun Mi Choi ◽  
Young Sik Park ◽  
Chang-Hoon Lee ◽  
Sang-Min Lee ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Critically Ill ◽  
Muscle Mass ◽  
Critically Ill Patients ◽  
Mass Change ◽  
Apache Ii Score ◽  
Muscle Loss ◽  
Icu Mortality ◽  
Skeletal Muscle Index ◽  
The Impact

Purpose: To assess the impact of rapid muscle loss before admission to intensive care unit (ICU) in critically ill patients with cirrhosis. Materials and Methods: Patients with cirrhosis who had undergone 2 or more recent computed tomography scans before admission to the medical ICU were included. Muscle cross-sectional area at the level of the third lumbar vertebra was quantified using OsiriX software. The rate of muscle mass change and skeletal muscle index (SMI) were also calculated. Multivariable Cox proportional hazards regression was used to evaluate the association between muscle loss and mortality. Results: Among 125 patients, 113 (90.4%) patients were classified as having sarcopenia. The mean body mass index was 22.6 (3.9) kg/m2. Thirty-nine (31.2%) patients were within the normal range for muscle mass change, while 86 (68.8%) patients demonstrated rapid decline in muscle mass before admission to the ICU. Patients with rapid muscle loss showed high ICU mortality (59.3%) and in-hospital mortality (77.9%). Multivariate Cox analysis showed that ICU mortality and in-hospital mortality were independently associated with malignancy, Acute Physiology and Chronic Health Evaluation (APACHE) II score, SMI, and rapid muscle loss. Conclusion: Rapid muscle decline is correlated with increased ICU mortality and in-hospital mortality in critically ill patients with cirrhosis.

scholarly journals Investigate predictive capacity of in-hospital mortality of four severity score systems on critically ill patients with acute kidney injury

2019 ◽  
Vol 67 (8) ◽  
pp. 1103-1109 ◽  
Author(s):  
Yu Gong ◽  
Feng Ding ◽  
Fen Zhang ◽  
Yong Gu
Keyword(s):  
Acute Kidney Injury ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Kidney Injury ◽  
Mortality Prediction ◽  
Apache Ii ◽  
University Teaching ◽  
Predictive Capacity ◽  
Saps Ii

Although significant improvements have been achieved in the renal replacement therapy of acute kidney injury (AKI), the mortality of patients with AKI remains high. The aim of this study is to prospectively investigate the capacity of Acute Physiology and Chronic Health Evaluation version II (APACHE II), Simplified Acute Physiology Score version II (SAPS II), Sepsis-related Organ Failure Assessment (SOFA) and Acute Tubular Necrosis Individual Severity Index (ATN-ISI) to predict in-hospital mortality of critically ill patients with AKI. A prospective observational study was conducted in a university teaching hospital. 189 consecutive critically ill patients with AKI were selected according Risk, Injury, Failure, Loss, or End-stage kidney disease criteria. APACHE II, SAPS II, SOFA and ATN-ISI counts were obtained within the first 24 hours following admission. Receiver operating characteristic analyses (ROCs) were applied. Area under the ROC curve (AUC) was calculated. Sensitivity and specificity of in-hospital mortality prediction were calculated. In this study, the in-hospital mortality of critically ill patients with AKI was 37.04% (70/189). AUC of APACHE II, SAPS II, SOFA and ATN-ISI was 0.903 (95% CI 0.856 to 0.950), 0.893 (95% CI 0.847 to 0.940), 0.908 (95% CI 0.866 to 0.950) and 0.889 (95% CI 0.841 to 0.937) and sensitivity was 90.76%, 89.92%, 90.76% and 89.08% and specificity was 77.14%, 70.00%, 71.43% and 71.43%, respectively. In this study, it was found APACHE II, SAPS II, SOFA and ATN-ISI are reliable in-hospital mortality predictors of critically ill patients with AKI. Trial registration number: NCT00953992.

scholarly journals Combining Sequential Organ Failure Assessment (SOFA) Score with Acute Physiology and Chronic Health Evaluation (APACHE) II Score to Predict Hospital Mortality of Critically Ill Patients

2007 ◽  
Vol 35 (4) ◽  
pp. 515-521 ◽  
Author(s):  
K. M. Ho
Keyword(s):  
Hospital Mortality ◽  
Critically Ill ◽  
Sofa Score ◽  
Critically Ill Patients ◽  
Characteristic Curve ◽  
Apache Ii ◽  
Brier Score ◽  
Apache Ii Score ◽  
Failure Assessment ◽  
Predict Hospital Mortality

The ability to accurately adjust for the severity of illness in outcome studies of critically ill patients is essential. Previous studies have showed that Sequential Organ Failure Assessment (SOFA) score and Acute Physiology and Chronic Health Evaluation (APACHE) II score can predict hospital mortality of critically ill patients. The effects of combining these two scores to predict hospital mortality of critically ill patients has not been evaluated. This cohort study evaluated the performance of combining the APACHE II score with SOFA score in predicting hospital mortality of critically ill patients. A total of 1,311 consecutive adult patients admitted to a tertiary 22-bed multidisciplinary intensive care unit (ICU) in Western Australia were considered. The APACHE II, Admission SOFA, Delta SOFA and maximum SOFA score were all related to hospital survival in the univariate analyses. Combining Max SOFA (area under receiver operating characteristic curve 0.875 vs. 0.858, P=0.014; Nagelkerke R2: 0.411 vs. 0.371; Brier Score: 0.086 vs. 0.090) or Delta SOFA score (area under receiver operating characteristic curve 0.874 vs. 0.858, P=0.003; Nagelkerke R2: 0.412 vs. 0.371; Brier Score: 0.086 vs. 0.090) with the APACHE II score improved the discrimination and overall performance of the predictions when compared with using the APACHE II score alone, especially in the emergency ICU admissions. Combining Max SOFA or Delta SOFA score with the APACHE II score may improve the accuracy of risk adjustment in outcome studies of critically ill patients.

Improvement of mortality prediction accuracy in critically ill patients through combination of SOFA and APACHE II score with markers of stress haematopoiesis

2020 ◽  
Vol 42 (6) ◽  
pp. 796-800
Author(s):  
Michaela Macichová ◽  
Monika Grochová ◽  
Oliver Rácz ◽  
Jozef Firment ◽  
Miriam Mitníková ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Prediction Accuracy ◽  
Mortality Prediction ◽  
Apache Ii ◽  
Apache Ii Score

scholarly journals Serum Neutrophil Gelatinase-Associated Lipocalin (NGAL) Could Provide Better Accuracy Than Creatinine in Predicting Acute Kidney Injury Development in Critically Ill Patients

2021 ◽  
Vol 10 (22) ◽  
pp. 5379
Author(s):  
Edison Jahaj ◽  
Alice G. Vassiliou ◽  
Maria Pratikaki ◽  
Parisis Gallos ◽  
Zafeiria Mastora ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Kidney Injury ◽  
Roc Curves ◽  
Serum Levels ◽  
Icu Admission ◽  
Neutrophil Gelatinase Associated Lipocalin ◽  
Increased Risk ◽  
Neutrophil Gelatinase

Acute kidney injury (AKI) is one of the most common complications in critically ill patients. In recent years, studies have focused on exploring new biomarkers for the early diagnosis and prognosis of AKI. The aim of this study was to investigate serum prognostic biomarkers (neutrophil gelatinase-associated lipocalin, NGAL, and creatinine) of AKI in critically ill patients. The study included 266 critically ill, initially nonseptic, patients admitted to a multidisciplinary ICU. Serum levels of NGAL and creatinine were measured at ICU admission. ROC curves were generated to estimate the prognostic value of the biomarkers, while a logistic regression analysis was performed to assess their association with an increased AKI risk. Patients were divided in two groups based on the development (n = 98) or not (n = 168) of AKI during their ICU stay. Serum NGAL levels at ICU admission were significantly higher in those who subsequently developed AKI compared to those who did not (p < 0.0001). NGAL was shown to be more accurate in predicting AKI development than creatinine; furthermore, NGAL levels were associated with an increased risk of AKI development (1.005 (1.002–1.008), p < 0.0001). In the present study, we were able to demonstrate that increased serum NGAL levels at ICU admission might be predictive of AKI development during ICU hospitalization. Further studies are needed to support NGAL as a prognostic marker of acute kidney injury.

scholarly journals Association Between Phosphate Disturbances and Mortality Among Critically Ill Patients With Sepsis or Septic Shock

2021 ◽  
Author(s):  
Shmeylan Al Harbi ◽  
Hasan Al-Dorzi ◽  
Albatool Al Meshari ◽  
Hani Tamim ◽  
Sheryl Ann Abdukahil ◽  
...  
Keyword(s):  
Septic Shock ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Retrospective Cohort ◽  
Serum Phosphate ◽  
The Other ◽  
Icu Mortality ◽  
Icu Admission ◽  
Surgical Icus

Abstract Objective: The aim of this study is to examine the association of hypophosphatemia and hyperphosphatemia on the first day of ICU admission with mortality in septic critically ill patients. Methods: In this retrospective cohort study, all adult patients who were admitted to medical-surgical ICUs between 2014 and 2017 with sepsis or septic shock were categorized as having hypophosphatemia, hyperphosphatemia or based on day 1 serum phosphate values. We compared the clinical characteristics and outcomes between the three groups. We used multivariate analysis to examine the association of hypophosphatemia and hyperphosphatemia with these outcomes.Results: Of the 1422 patients enrolled in the study, 188 (13%) had hypophosphatemia, 865 (61%) normophosphatemia and 369 (26%) had hyperphosphatemia. Among the three groups, the patients in the hyperphosphatemia group had significantly lower GCS, higher APACHE II scores, higher serum creatinine, increased use of vasopressors, and required mechanical ventilation with lower PaO2/FiO2 ratio compared with the other two groups. In addition, hyperphosphatemia group also showed significantly higher ICU mortality and hospital mortality in comparison to the other two groups. Conclusion: Hyperphosphatemia and not hypophosphatemia on the first ICU admission day was associated with an increase in the ICU and hospital mortality in septic critically ill patients.

scholarly journals Does the RIFLE Classification Improve Prognostic Value of the APACHE II Score in Critically Ill Patients?

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Kátia M. Wahrhaftig ◽  
Luis C. L. Correia ◽  
Denise Matias ◽  
Carlos A. M. De Souza
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Prognostic Value ◽  
Kidney Injury ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Icu Mortality ◽  
Risk Of Death ◽  
Rifle Classification ◽  
Critical Patients

Introduction.The RIFLE classification defines three severity criteria for acute kidney injury (AKI): risk, injury, and failure. It was associated with mortality according to the gradation of AKI severity. However, it is not known if the APACHE II score, associated with the RIFLE classification, results in greater discriminatory power in relation to mortality in critical patients.Objective.To analyze whether the RIFLE classification adds value to the performance of APACHE II in predicting mortality in critically ill patients.Methods.An observational prospective cohort of 200 patients admitted to the ICU from July 2010 to July 2011.Results.The age of the sample was 66 (±16.7) years, 53.3% female. ICU mortality was 23.5%. The severity of AKI presented higher risk of death: class risk (RR = 1.89 CI:0.97–3.38, ), grade injury (RR = 3.7 CI:1.71–8.08, ), and class failure (RR = 4.79 CI:2.10–10.6, ). The APACHE II had C-statistics of 0.75, 95% (CI:0.68–0.80, ) and 0.80 (95% CI:0.74 to 0.86, ) after being incorporated into the RIFLE classification in relation to prediction of death. In the comparison between AUROCs, .Conclusion.The severity of AKI, defined by the RIFLE classification, was a risk marker for mortality in critically ill patients, and improved the performance of APACHE II in predicting the mortality in this population.

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