scholarly journals Assessment of clinical and laboratorial parameters and the usefulness of the Brain Natiuretic Peptide as a predictor for successful extubation in the ICU

2021 ◽  
Vol 54 (2) ◽  
Author(s):  
Maria Aparecida Vitagliano Martins ◽  
Silene El-Fakhouri ◽  
Luciene de Oliveira Conterno ◽  
Thie Uehara Sampaio
Keyword(s):  
Mechanical Ventilation ◽  
Mortality Rate ◽  
Severity Score ◽  
Spontaneous Breathing Trial ◽  
Extubation Failure ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Risk Of Death ◽  
Severity Scores ◽  
Successful Extubation

Introduction: Identification of predictors for successful extubation in an Intensive Care Unity and use of Brain Natriuretic Peptides (BNP) in predicting mechanical ventilation weaning and extubation outcome.Aims: Evaluation of the effect of variables such as patient´s age, severity score, use of sedation, use of vasoactive drugs, hydric balance, blood gas data, days under mechanical ventilation, the occurrence of adverse events and plasma BNP levels on the success of extubation.Method: A prospective cohort study of adult patients admitted to a 12- bed-general ICU, from April 1st 2016 to August 10th 2017, under mechanical ventilation for > 24 h, accompanied until discharge or death. Clinical variables were analyzed and BNP was assessed before initiation of Spontaneous Breathing Trial (SBT) and then again before extubation. Statistical Analysis: a descriptive and comparative data analysis, univariate and logistic regressionanalysis for verification of variables independently related to successful extubation (p < 0.05).Results: Study of 105 patients, mean age of 53.9 ± 19.8 years, 81% of success in extubation; the overall mortality rate of 11.4%; variables associated to successful extubation: age, APACHE II, SAPS II, days of hospitalization before ICU admittance, days under mechanical ventilation, days of stay in ICU and occurrence of nosocomial infection (p < 0.05); BNP levels were lower in patients with successful extubation although not statistically significant;multivariate analysis showed that patient’s age and days of hospitalization before ICU admittance were each independently linked to extubation failure; APACHE II score and days of hospitalization before ICU admittance were each independently associated to risk of death.Conclusion: Despite being older and with higher severity scores, patients had a higher success rate in extubation than found in similar studies. However, the mortality rate in cases of failed extubation was higher. Data obtained was in agreement to studies that suggested that patient´s age, severity score, days of hospitalization before ICU admittance, days of stay in ICU, days under MV and infection occurrence were all variables associated as much extubation failure as to risk of death. A direct association between BNP levels and successful extubation and the usefulness of assessing BNP in the conduction of WMV was not confirmed.

Peritoneal dialysis with a lower dosage versus conventional intermittent hemodialysis in acute kidney injury: A propensity-matched study

2020 ◽  
pp. 089686082097085
Author(s):  
Watanyu Parapiboon ◽  
Thosapol Chumsungnern ◽  
Treechada Chamradpan
Keyword(s):  
Acute Kidney Injury ◽  
Peritoneal Dialysis ◽  
Mortality Rate ◽  
Hospital Mortality ◽  
Kidney Injury ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Intermittent Hemodialysis ◽  
Risk Of Death ◽  
Risk Of Mortality

Background: Literature regarding the outcomes of lower dosage peritoneal dialysis (PD) in treating acute kidney injury (AKI) among resource-limited setting is sparse. This study aims to compare the risk of mortality in patients with AKI receiving lower PD dosage and conventional intermittent hemodialysis (IHD) in Thailand. Methods: In a tertiary center in Thailand, a matched case–control study using propensity scores in patients with AKI was conducted to compare the outcomes between lower PD dosage (18 L per day for first two sessions, weekly Kt/ V 2.2) and IHD (three times a week) from February 2015 to January 2016. The primary outcome was a 30-day in-hospital mortality rate. Secondary outcomes included dialysis dependence at 90 days. Results: Eighty-four patients were included (28 PD and 56 IHD). Patient characteristics were comparable between two treatment groups. Overall, the mean age was 58 years. Most of the patients were critically ill (87% need mechanical ventilator; mean acute physiological and chronic health evaluation (APACHE II) score: 25). The 30-day in-hospital mortality rate was similar between the PD and IHD patients (57% vs. 46%, p = 0.36). The dialysis dependence rate was also comparable at 90 days. The risk of death among AKI patients was higher in those with respiratory failure, higher APACHE II score, and starting dialysis with blood urea nitrogen greater than 70 mg dL−1. Conclusion: Clinical outcomes, including risk of mortality and 90-day dialysis dependence among patients with AKI, appear to be comparable between lower dosage PD and IHD.

scholarly journals Serum Soluble Triggering Receptor Expressed on Myeloid Cells-1 and Procalcitonin Can Reflect Sepsis Severity and Predict Prognosis: A Prospective Cohort Study

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Zhenyu Li ◽  
Hongxia Wang ◽  
Jian Liu ◽  
Bing Chen ◽  
Guangping Li
Keyword(s):  
Sofa Score ◽  
Prognostic Significance ◽  
Elevated Serum ◽  
Myeloid Cells ◽  
Serum Levels ◽  
Clinical Severity ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Survival Group ◽  
Severity Scores

Objective. To investigate the prognostic significance of serum soluble triggering receptor expressed on myeloid cells-1 (sTREM-1), procalcitonin (PCT), N-terminal probrain natriuretic peptide (NT-pro-BNP), C-reactive protein (CRP), cytokines, and clinical severity scores in patients with sepsis.Methods. A total of 102 patients with sepsis were divided into survival group (n=60) and nonsurvival group (n=42) based on 28-day mortality. Serum levels of biomarkers and cytokines were measured on days 1, 3, and 5 after admission to an ICU, meanwhile the acute physiology and chronic health evaluation II (APACHE II) and sequential organ failure assessment (SOFA) scores were calculated.Results. Serum sTREM-1, PCT, and IL-6 levels of patients in the nonsurvival group were significantly higher than those in the survival group on day 1 (P<0.01). The area under a ROC curve for the prediction of 28 day mortality was 0.792 for PCT, 0.856 for sTREM-1, 0.953 for SOFA score, and 0.923 for APACHE II score. Multivariate logistic analysis showed that serum baseline sTREM-1 PCT levels and SOFA score were the independent predictors of 28-day mortality. Serum PCT, sTREM-1, and IL-6 levels showed a decrease trend over time in the survival group (P<0.05). Serum NT-pro-BNP levels showed the predictive utility from days 3 and 5 (P<0.05).Conclusion. In summary, elevated serum sTREM-1 and PCT levels provide superior prognostic accuracy to other biomarkers. Combination of serum sTREM-1 and PCT levels and SOFA score can offer the best powerful prognostic utility for sepsis mortality.

scholarly journals APHACHE Score as a Predictive Indices for Weanability from Mechanical Ventilation

2013 ◽  
Vol 1 (1) ◽  
pp. 18-22 ◽  
Author(s):  
Md Sayedul Islam
Keyword(s):  
Mechanical Ventilation ◽  
Respiratory Failure ◽  
Private Hospital ◽  
Total Duration ◽  
Apache Ii ◽  
Apache Ii Score ◽  
P Value ◽  
Apache Score ◽  
Number Of Patients ◽  
Weaning Outcome

Objective: To determine the significance of acute physiology and chronic health evaluation (APACHE) score as an important parameter of weaning outcome for mechanical ventilation. Design: prospective, observational. Setting: The medical ICU of a modernized private hospital, Dhaka. Method: The study was carried out during the period of 2008 to 2009 in a specialized private hospital Dhaka. Critical care physicians were asked to filled up the data sheets having detail problem of the patients including the APACHE II score. The APACHE II score is divided into three steps High score>25, Medium score 20-24 and Low score < 20. The clinicians were suggested to predict whether it would take < 3 days or 4to 7days or >8days to wean each patients from mechanical ventilation. The cause of respiratory failure and total duration of weaning were recorded. The significance was set at p<.05. Result: Total number of patients included in this study were 40. Male were 22 (55%) and female were 18 (45%), the mean age of the patients were 51.1±13.9. The most common cause of respiratory failure were COPD 11(24.5%) and next common were pneumonia and ARDS due to sepsis 8 (20%) each. Among the studied population 20 (50%) having low APACHE score (<20), 12 (30%) were medium score (20-24) and 8 (20%) patients were high score (>25). Total 25 (62.5%) of the patients were successfully weaned from mechanical ventilation, 10 (25%) of the patient died and 5 (12.5%) of the patent were shifted to other low cost hospital. The successfully weaned groups 17 (68%) had lower APACHE II score than the unsuccessfully (failure) group which were statistically significant ÷2 =.8546, df =2, p-value >.005. Conclusions: The overall severity of illness as assessed by APACHE II score correlates better with weaning outcome. DOI: http://dx.doi.org/10.3329/bccj.v1i1.14360 Bangladesh Crit Care J March 2013; 1: 18-22

scholarly journals Early prediction of extubation failure in patients with severe pneumonia: a retrospective cohort study

2020 ◽  
Vol 40 (2) ◽  
Author(s):  
He Yu ◽  
Jian Luo ◽  
Yuenan Ni ◽  
Yuehong Hu ◽  
Dan Liu ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Medical Records ◽  
Severe Pneumonia ◽  
Extubation Failure ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Common Causes ◽  
Independent Risk Factors ◽  
Logistic Regressions ◽  
Rbc Transfusion

Abstract Backgroud: Severe pneumonia is one of the most common causes for mechanical ventilation. We aimed to early identify severe pneumonia patients with high risk of extubation failure in order to improve prognosis. Methods: From April 2014 to December 2015, medical records of intubated patients with severe pneumonia in intensive care unit were retrieved from database. Patients were divided into extubation success and failure groups, and multivariate logistic regressions were performed to identify independent predictors for extubation failure. Results: A total of 125 eligible patients were included, of which 82 and 43 patients had extubation success and failure, respectively. APACHE II score (odds ratio (OR) 1.141, 95% confident interval (CI) 1.022–1.273, P = 0.019, cutoff at 17.5), blood glucose (OR 1.122, 95%CI 1.008–1.249, P = 0.035, cutoff at 9.87 mmol/l), dose of fentanyl (OR 3.010, 95%CI 1.100–8.237, P = 0.032, cutoff at 1.135 mg/d), and the need for red blood cell (RBC) transfusion (OR 2.774, 95%CI 1.062–7.252, P = 0.037) were independent risk factors for extubation failure. Conclusion: In patients with severe pneumonia, APACHE II score &gt; 17.5, blood glucose &gt; 9.87 mmol/l, fentanyl usage &gt; 1.135 mg/d, and the need for RBC transfusion might be associated with higher risk of extubation failure.

scholarly journals Improvement of APACHE II score system for disease severity based on XGBoost algorithm

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yan Luo ◽  
Zhiyu Wang ◽  
Cong Wang
Keyword(s):  
Intensive Care ◽  
Hospital Mortality ◽  
Patient Outcomes ◽  
External Validation ◽  
Apache Ii ◽  
Validation Dataset ◽  
Apache Ii Score ◽  
Severity Scores ◽  
The Impact ◽  
Improve Patient

Abstract Background Prognostication is an essential tool for risk adjustment and decision making in the intensive care units (ICUs). In order to improve patient outcomes, we have been trying to develop a more effective model than Acute Physiology and Chronic Health Evaluation (APACHE) II to measure the severity of the patients in ICUs. The aim of the present study was to provide a mortality prediction model for ICUs patients, and to assess its performance relative to prediction based on the APACHE II scoring system. Methods We used the Medical Information Mart for Intensive Care version III (MIMIC-III) database to build our model. After comparing the APACHE II with 6 typical machine learning (ML) methods, the best performing model was screened for external validation on anther independent dataset. Performance measures were calculated using cross-validation to avoid making biased assessments. The primary outcome was hospital mortality. Finally, we used TreeSHAP algorithm to explain the variable relationships in the extreme gradient boosting algorithm (XGBoost) model. Results We picked out 14 variables with 24,777 cases to form our basic data set. When the variables were the same as those contained in the APACHE II, the accuracy of XGBoost (accuracy: 0.858) was higher than that of APACHE II (accuracy: 0.742) and other algorithms. In addition, it exhibited better calibration properties than other methods, the result in the area under the ROC curve (AUC: 0.76). we then expand the variable set by adding five new variables to improve the performance of our model. The accuracy, precision, recall, F1, and AUC of the XGBoost model increased, and were still higher than other models (0.866, 0.853, 0.870, 0.845, and 0.81, respectively). On the external validation dataset, the AUC was 0.79 and calibration properties were good. Conclusions As compared to conventional severity scores APACHE II, our XGBoost proposal offers improved performance for predicting hospital mortality in ICUs patients. Furthermore, the TreeSHAP can help to enhance the understanding of our model by providing detailed insights into the impact of different features on the disease risk. In sum, our model could help clinicians determine prognosis and improve patient outcomes.

scholarly journals Influencing Factors and Prevention of Sepsis or Acute Kidney Injury in 85 Patients with Severe Trauma

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Hong Zhang ◽  
Dan Chen ◽  
Lihua Wang ◽  
Bing Li
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Influencing Factors ◽  
Severe Trauma ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Trauma Patients ◽  
Risk Of Death ◽  
Disturbance Of Consciousness ◽  
Prevention And Treatment

Severe trauma can cause systemic reactions, leading to massive bleeding, shock, asphyxia, and disturbance of consciousness. At the same time, patients with severe trauma are at high risk of sepsis and acute renal injury. The occurrence of complications will increase the difficulty of clinical treatment, improve the mortality rate, and bring heavy physical and mental burdens and economic pressure to patients and their families. It is of great clinical significance to understand the high risk factors of sepsis and AKI and actively formulate prevention and treatment measures. In this study, the clinical data of 85 patients with severe trauma were analyzed by univariate and multivariate logistic regression to identify the risk factors leading to sepsis or AKI and analyze the prevention and treatment strategies. The results showed that multiple injuries, APACHE II score on admission, SOFA score on admission, and mechanical ventilation were independent influencing factors of sepsis in patients with severe trauma, while hemorrhagic shock, APACHE II score on admission, CRRT, and sepsis were independent influencing factors of AKI in patients with severe trauma. Severe trauma patients complicated with sepsis or AKI will increase the risk of death. In the course of treatment, prevention and intervention should be given as far as possible to reduce the incidence of complications.

scholarly journals Prognostic Prediction Value of qSOFA, SOFA, and Admission Lactate in Septic Patients with Community-Acquired Pneumonia in Emergency Department

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Haijiang Zhou ◽  
Tianfei Lan ◽  
Shubin Guo
Keyword(s):  
Emergency Department ◽  
Mechanical Ventilation ◽  
Mortality Rate ◽  
Community Acquired Pneumonia ◽  
Prediction Performance ◽  
Secondary Outcome ◽  
Icu Admission ◽  
Severity Scores ◽  
Prognostic Prediction ◽  
Vasopressor Use

Background. Community-acquired pneumonia (CAP) is a leading cause of sepsis and common presentation to emergency department (ED) with a high mortality rate. The prognostic prediction value of sequential organ failure assessment (SOFA) and quick SOFA (qSOFA) scores in CAP in ED has not been validated in detail. The aim of this research is to investigate the prognostic prediction value of SOFA, qSOFA, and admission lactate compared with that of other commonly used severity scores (CURB65, CRB65, and PSI) in septic patients with CAP in ED. Methods. Adult septic patients with CAP admitted between Jan. 2017 and Jan. 2019 with increased admission SOFA ≥ 2 from baseline were enrolled. The primary outcome was 28-day mortality. The secondary outcome included intensive care unit (ICU) admission, mechanical ventilation, and vasopressor use. Prognostic prediction performance of the parameters above was compared using receiver operating characteristic (ROC) curves. Kaplan–Meier survival curves were compared using optimal cutoff values of qSOFA and admission lactate. Results. Among the 336 enrolled septic patients with CAP, 89 patients died and 247 patients survived after 28-day follow-up. The CURB65, CRB65, PSI, SOFA, qSOFA, and admission lactate levels were statistically significantly higher in the death group (P<0.001). qSOFA and SOFA were superior and the combination of qSOFA + lactate and SOFA + lactate outperformed other combinations of severity score and admission lactate in predicting both primary and secondary outcomes. Patients with admission qSOFA < 2 or lactate ≤ 2 mmol/L showed significantly prolonged survival than those patients with qSOFA ≥ 2 or lactate > 2 mmol/L (log-rank χ2 = 59.825, P<0.001). The prognostic prediction performance of the combination of qSOFA and admission lactate was comparable to the full version of SOFA (AUROC 0.833 vs. 0.795, Z = 1.378, P=0.168 in predicting 28-day mortality; AUROC 0.868 vs. 0.895, Z = 1.022, P=0.307 in predicting ICU admission; AUROC 0.868 vs. 0.845, Z = 0.921, P=0.357 in predicting mechanical ventilation; AUROC 0.875 vs. 0.821, Z = 2.12, P=0.034 in predicting vasopressor use). Conclusion. qSOFA and SOFA were superior to CURB65, CRB65, and PSI in predicting 28-day mortality, ICU admission, mechanical ventilation, and vasopressor use for septic patients with CAP in ED. Admission qSOFA with lactate is a convenient and useful predictor. Admission qSOFA ≥ 2 or lactate > 2 mmol/L would be very helpful in discriminating high-risk patients with a higher mortality rate.

scholarly journals Assessment of Outcome over a 10-year Period of Patients Admitted to a Multidisciplinary Adult Intensive Care Unit with Haematological and Solid Tumours

2005 ◽  
Vol 33 (1) ◽  
pp. 26-35 ◽  
Author(s):  
J. L. Moran ◽  
P. J. Solomon ◽  
P. J. Williams
Keyword(s):  
Mechanical Ventilation ◽  
Cox Model ◽  
Severity Of Illness ◽  
Cohort Effect ◽  
Solid Tumours ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Adult Intensive Care Unit ◽  
Icu Admission ◽  
Over Time

The risk factors for time to mortality, censored at 30 days, of patients admitted to an adult teaching hospital ICU with haematological and solid malignancies were assessed in a retrospective cohort study. Patients, demographics and daily ICU patient data, from admission to day 8, were identified from a prospective computerized database and casenote review in consecutive admissions to ICU with haematological and solid tumours over a 10-year period (1989–99). The cohort, 108 ICU admissions in 89 patients was of mean age (±SD) 55±14 years; 43% were female. Patient diagnoses were leukaemia (35%), lymphoma (38%) and solid tumours (27%). Median time from hospital to ICU admission was five days (range 0–67). On ICU admission, 50% had septic shock and first day APACHE II score was 28±9. Forty-six per cent of patients were ventilated. ICU and 30-day mortality were 39% and 54% respectively. Multivariate Cox model predictors (P<0.05), using only ICU admission day data were: Charlson comorbidity index (CCI), time to ICU admission (days) and mechanical ventilation. For daily data (admission through day 8), predictors were: cohort effect (2nd vs 1st five-year period); CCI; time to ICU admission (days); APACHE II score and mechanical ventilation. Outcomes were considered appropriate for severity of illness and demonstrated improvement over time. Ventilation was an independent outcome determinant. Controlling for other factors, mortality has improved over time (1st vs 2nd five year period). Analysis restricted to admission data alone may be insensitive to particular covariate effects.

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.

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