scholarly journals Effectiveness of LODS, OASIS, and SAPS II to predict in-hospital mortality for intensive care patients with ST elevation myocardial infarction

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Liang Wang ◽  
Zhengwei Zhang ◽  
Tianyang Hu
Keyword(s):  
Myocardial Infarction ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Clinical Benefit ◽  
Predictive Value ◽  
Scoring Systems ◽  
Study Cohort ◽  
Intensive Care Patients ◽  
Saps Ii ◽  
Saps Ii Score

AbstractThe relationship between three scoring systems (LODS, OASIS, and SAPS II) and in-hospital mortality of intensive care patients with ST segment elevation myocardial infarction (STEMI) is currently inconclusive. The baseline data, LODS score, OASIS score, SAPS II score, and in-hospital prognosis of intensive care patients with STEMI were retrieved from the Medical Information Mart for Intensive Care IV database. Propensity score matching analysis was performed to reduce bias. Receiver operating characteristic curves (ROC) were drawn for the three scoring systems, and comparisons between the areas under the ROC curves (AUC) were conducted. Decision curve analysis (DCA) was performed to determine the net benefits of the three scoring systems. LODS and SAPS II were independent risk factors for in-hospital mortality. For the study cohort, the AUCs of LODS, OASIS, SAPS II were 0.867, 0.827, and 0.894; after PSM, the AUCs of LODS, OASIS, SAPS II were 0.877, 0.821, and 0.881. A stratified analysis of the patients who underwent percutaneous coronary intervention/coronary artery bypass grafting (PCI/CABG) or not was conducted. In the PCI/CABG group, the AUCs of LODS, OASIS, SAPS II were 0.853, 0.825, and 0.867, while in the non-PCI/CABG group, the AUCs of LODS, OASIS, SAPS II were 0.857, 0.804, and 0.897. The results of the Z test suggest that the predictive value of LODS and SAPS II was not statistically different, but both were higher than OASIS. According to the DCA, the net clinical benefit of LODS was the greatest. LODS and SAPS II have excellent predictive value, and in most cases, both were higher than OASIS. With a more concise composition and greater clinical benefit, LODS may be a better predictor of in-hospital mortality for intensive care patients with STEMI.

scholarly journals The association between four scoring systems and 30-day mortality among intensive care patients with sepsis: a cohort study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tianyang Hu ◽  
Huajie Lv ◽  
Youfan Jiang
Keyword(s):  
Cohort Study ◽  
Intensive Care ◽  
Scoring Systems ◽  
Roc Curves ◽  
The Elderly ◽  
Net Benefit ◽  
Intensive Care Patients ◽  
Saps Ii ◽  
Saps Ii Score ◽  
Net Benefits

AbstractSeveral commonly used scoring systems (SOFA, SAPS II, LODS, and SIRS) are currently lacking large sample data to confirm the predictive value of 30-day mortality from sepsis, and their clinical net benefits of predicting mortality are still inconclusive. The baseline data, LODS score, SAPS II score, SIRS score, SOFA score, and 30-day prognosis of patients who met the diagnostic criteria of sepsis were retrieved from the Medical Information Mart for Intensive Care III (MIMIC-III) intensive care unit (ICU) database. Receiver operating characteristic (ROC) curves and comparisons between the areas under the ROC curves (AUC) were conducted. Decision curve analysis (DCA) was performed to determine the net benefits between the four scoring systems and 30-day mortality of sepsis. For all cases in the cohort study, the AUC of LODS, SAPS II, SIRS, SOFA were 0.733, 0.787, 0.597, and 0.688, respectively. The differences between the scoring systems were statistically significant (all P-values < 0.0001), and stratified analyses (the elderly and non-elderly) also showed the superiority of SAPS II among the four systems. According to the DCA, the net benefit ranges in descending order were SAPS II, LODS, SOFA, and SIRS. For stratified analyses of the elderly or non-elderly groups, the results also showed that SAPS II had the most net benefit. Among the four commonly used scoring systems, the SAPS II score has the highest predictive value for 30-day mortality from sepsis, which is better than LODS, SIRS, and SOFA. The results of the DCA curves show that using the SAPS II score to predict the 30-day mortality of intensive care patients with sepsis to guide clinical applications may obtain the highest net benefit.

scholarly journals Urine Output Is Associated With In-hospital Mortality in Intensive Care Patients With Septic Shock: A Propensity Score Matching Analysis

2021 ◽  
Vol 8 ◽  
Author(s):  
Tianyang Hu ◽  
Zhao Qiao ◽  
Ying Mei
Keyword(s):  
Septic Shock ◽  
Risk Factor ◽  
Intensive Care ◽  
Propensity Score ◽  
Hospital Mortality ◽  
Predictive Value ◽  
Scoring System ◽  
Urine Output ◽  
Roc Curves ◽  
Intensive Care Patients

Background: The relationship between urine output (UO) and in-hospital mortality in intensive care patients with septic shock is currently inconclusive.Methods: The baseline data, UO, and in-hospital prognosis of intensive care patients with septic shock were retrieved from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. By drawing receiver operating characteristic (ROC) curves and comparing the areas under the ROC curves (AUC) to determine the predictive value of UO for in-hospital mortality, and by drawing the Kaplan-Meier curves to compare the difference in in-hospital mortality between different groups of UO.Results: Before and after the propensity score matching (PSM) analysis, UO was always a risk factor for in-hospital mortality in patients with septic shock. The AUC of UO was comparable to the Sequential Organ Failure Assessment (SOFA) scoring system, while the AUC of combining UO and SOFA was greater than that of SOFA. The median survival time of the high-UO group (UO &gt; 0.39 ml/kg/h, before PSM; UO &gt; 0.38 ml/kg/h, after PSM) was longer than that of the low-UO group. Compared with the high-UO group, the hazard ratios (HR) of the low-UO group were 2.6857 (before PSM) and 1.7879 (after PSM).Conclusions: UO is an independent risk factor for septic shock. Low levels of UO significantly increase the in-hospital mortality of intensive care patients with septic shock. The predictive value of UO is comparable to the SOFA scoring system, and the combined predictive value of the two surpasses SOFA alone.

Predictive Values of Initial Severity Scores at Intensive Care Unit Admission for Patients With Overnight or Prolonged Stay

2021 ◽  
Author(s):  
Koji Hosokawa ◽  
Nobuaki Shime
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Predictive Value ◽  
Apache Ii ◽  
Icu Patients ◽  
Prolonged Stay ◽  
Saps Ii ◽  
Icu Stay ◽  
Severity Scores

Abstract Background: The predictive value of disease severity scores for intensive care unit (ICU) patients is occasionally inaccurate because ICU patients with mild symptoms are also considered. We, thus, aimed to evaluate the accuracy of severity scores in predicting mortality of patients with complicated conditions admitted for > 24 hours. Methods: Overall, 35,353 adult patients using nationwide ICU data were divided into two groups: (1) overnight ICU stay after elective surgery and alive on discharge within 24 hours and (2) death within 24 hours or prolonged stay. The performance and accuracy of Sequential Organ Failure Assessment (SOFA), Acute Physiology and Chronic Health Evaluation (APACHE) II and III, and Simplified Acute Physiology Score (SAPS) II scores in predicting in-hospital mortality were evaluated. Results: In the overnight stay group, the correlation between SOFA and APACHE III scores or SAPS II was low because many had a SOFA score of 0. In the prolonged stay group, the predictive value of SAPS II and APACHE II and III showed high accuracy but that of SOFA was moderate. Conclusions: When overnight ICU stay patients were not included, the high predictive value for in-hospital mortality of SAPS II and APACHE II and III was evident.

scholarly journals Sepsis Diagnostics: Intensive Care Scoring Systems Superior to MicroRNA Biomarker Testing

Diagnostics ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 701
Author(s):  
Fabian Link ◽  
Knut Krohn ◽  
Anna-Maria Burgdorff ◽  
Annett Christel ◽  
Julia Schumann
Keyword(s):  
Intensive Care ◽  
Scoring Systems ◽  
Digital Pcr ◽  
Absolute Quantification ◽  
Medical Problem ◽  
Control Group ◽  
Multiple Parameters ◽  
Sepsis Diagnosis ◽  
Intensive Care Patients ◽  
Healthy Control

Sepsis represents a serious medical problem accounting for numerous deaths of critically ill patients in intensive care units (ICUs). An early, sensitive, and specific diagnosis is considered a key element for improving the outcome of sepsis patients. In addition to classical laboratory markers, ICU scoring systems and serum miRNAs are discussed as potential sepsis biomarkers. In the present prospective observational study, the suitability of miRNAs in sepsis diagnosis was tested based on proper validated and normalized data (i.e., absolute quantification by means of Droplet Digital PCR (ddPCR)) in direct comparison to classical sepsis markers and ICU scores within the same patient cohort. Therefore, blood samples of septic intensive care patients (n = 12) taken at day of admission at ICU were compared to non-septic intensive care patients (n = 12) and a healthy control group (n = 12). Our analysis indicates that all tested biomarkers have only a moderate informative power and do not allow an unequivocal differentiation between septic and non-septic ICU patients. In conclusion, there is no standalone laboratory parameter that enables a reliable diagnosis of sepsis. miRNAs are not superior to classical parameters in this respect. It seems recommendable to measure multiple parameters and scores and to interpret them with regard to the clinical presentation.

scholarly journals Outcomes of severe systemic rheumatic disease patients requiring extracorporeal membrane oxygenation

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Pierre Bay ◽  
Guillaume Lebreton ◽  
Alexis Mathian ◽  
Pierre Demondion ◽  
Cyrielle Desnos ◽  
...  
Keyword(s):  
Extracorporeal Membrane Oxygenation ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Left Ventricular ◽  
Arterial Lactate ◽  
Saps Ii ◽  
Membrane Oxygenation ◽  
Saps Ii Score ◽  
Va Ecmo ◽  
Vv Ecmo

Abstract Background Systemic rheumatic diseases (SRDs) are a group of inflammatory disorders that can require intensive care unit (ICU) admission because of multiorgan involvement with end-organ failure(s). Critically ill SRD patients requiring extracorporeal membrane oxygenation (ECMO) were studied to gain insight into their characteristics and outcomes. Methods This French monocenter, retrospective study included all SRD patients requiring venovenous (VV)- or venoarterial (VA)-ECMO admitted to a 26-bed ECMO-dedicated ICU from January 2006 to February 2020. The primary endpoint was in-hospital mortality. Results Ninety patients (male/female ratio: 0.5; mean age at admission: 41.6 ± 15.2 years) admitted to the ICU received VA/VV-ECMO, respectively, for an SRD-related flare (n = 69, n = 38/31) or infection (n = 21, n = 10/11). SRD was diagnosed in-ICU for 31 (34.4%) patients. In-ICU and in-hospital mortality rates were 48.9 and 51.1%, respectively. Nine patients were bridged to cardiac (n = 5) or lung transplantation (n = 4), or left ventricular assist device (n = 2). The Cox multivariable model retained the following independent predictors of in-hospital mortality: in-ICU SRD diagnosis, day-0 Simplified Acute Physiology Score (SAPS) II score ≥ 70 and arterial lactate ≥ 7.5 mmol/L for VA-ECMO–treated patients; diagnosis other than vasculitis, day-0 SAPS II score ≥ 70, ventilator-associated pneumonia and arterial lactate ≥ 7.5 mmol/L for VV-ECMO–treated patients. Conclusions ECMO support is a relevant rescue technique for critically ill SRD patients, with 49% survival at hospital discharge. Vasculitis was independently associated with favorable outcomes of VV-ECMO–treated patients. Further studies are needed to specify the role of ECMO for SRD patients.

Hospital-acquired pressure ulcers and risk of hospital mortality in intensive care patients on mechanical ventilation

2014 ◽  
Vol 20 (4) ◽  
pp. 362-368 ◽  
Author(s):  
Francisco Manzano ◽  
Ana M. Pérez-Pérez ◽  
Susana Martínez-Ruiz ◽  
Cristina Garrido-Colmenero ◽  
Delphine Roldan ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Pressure Ulcers ◽  
Intensive Care Patients ◽  
Hospital Acquired

Neutrophil-to-lymphocyte Ratio as a Predictor of Mortality in ICU Patients: An Analysis of MIMIC-III Database

2020 ◽  
Author(s):  
Xie Wu ◽  
Zhanhao Su ◽  
Qipeng Luo ◽  
Yinan Li ◽  
Hongbai Wang ◽  
...  
Keyword(s):  
Intensive Care ◽  
Mortality Rate ◽  
Hospital Mortality ◽  
Predictive Power ◽  
Inflammatory Marker ◽  
Survival Group ◽  
Icu Patients ◽  
Lymphocyte Ratio ◽  
Saps Ii ◽  
Death Group

Abstract Background: Identifying high-risk patients in intensive care unit (ICU) is very important because of the high mortality rate. Existing scoring systems are numerous but lack effective inflammatory markers. Our objective was to identify and evaluate a low-cost, easily accessible and effective inflammatory marker that can predict mortality in ICU patients.Methods: We conducted a retrospective study using data from the Medical Information Mart for Intensive Care III database. We first divided the patients into the survival group and the death group based on in-hospital mortality. Receiver operating characteristic analyses were performed to find the best inflammatory marker (i.e. neutrophil-to-lymphocyte ratio, NLR). We then re-divided the patients into three groups based on NLR levels. Univariate and multivariate logistic regression were performed to evaluate the association between NLR and mortality. The area under the curve (AUC), Net Reclassification Improvement (NRI) and Integrated Discrimination Improvement (IDI) were used to assess whether the incorporate of NLR can improve the predictive power of existing predictive model. Results: A total of 21,822 patients were included in this study, with an in-hospital mortality rate of 14.43%. Among all inflammatory marker in routine blood test results, NLR had the best predictive ability, with a median (interquartile range) NLR of 5.40 (2.95, 10.46) in the survival group and 8.32 (4.25, 14.75) in the death group. We then re-divided the patients into low (≤1), medium (1-6) and high (≥6) groups based on NLR levels. Compared with the median NLR group, the in-hospital mortality rates were significantly higher in the low (odds ratio [OR] = 2.09; 95% confidence interval [CI], 1.64 to 2.66) and high (OR=1.64; 95%CI, 1.50-1.80) NLR groups. The addition of NLR to Simplified Acute Physiology Score II (SAPS II) improved the AUC from 0.789 to 0.798 (P<0.001), with NRI of 16.64% (P<0.001) and IDI of 0.27% (P<0.001).Conclusion: NLR is a good predictor of mortality in ICU patients, both low and high levels of NLR are associated with elevated mortality rate. The inclusion of NLR might improve the predictive power of SAPS II.

scholarly journals The Pros and Cons of the Prediction Game: The Never-ending Debate of Mortality in the Intensive Care Unit

2019 ◽  
Vol 16 (18) ◽  
pp. 3394 ◽  
Author(s):  
Piotr A. Fuchs ◽  
Iwona J. Czech ◽  
Łukasz J. Krzych
Keyword(s):  
Intensive Care ◽  
Scoring Systems ◽  
Roc Curves ◽  
Simplified Acute Physiology Score ◽  
Apache Ii ◽  
Icu Mortality ◽  
Saps Ii ◽  
Icu Discharge ◽  
Pros And Cons ◽  
Long Term Prognosis

Background: The Simplified Acute Physiology Score (SAPS) II, Acute Physiology and Chronic Health Evaluation (APACHE) II, and Sequential Organ Failure Assessment (SOFA) scales are scoring systems used in intensive care units (ICUs) worldwide. We aimed to investigate their usefulness in predicting short- and long-term prognosis in the local ICU. Methods: This single-center observational study covered 905 patients admitted from 1 January 2015 to 31 December 2017 to a tertiary mixed ICU. SAPS II, APACHE II, and SOFA scores were calculated based on the worst values from the first 24 h post-admission. Patients were divided into surgical (SP) and nonsurgical (NSP) subjects. Unadjusted ICU and post-ICU discharge mortality rates were considered the outcomes. Results: Baseline SAPS II, APACHE II, and SOFA scores were 41.1 ± 20.34, 14.07 ± 8.73, and 6.33 ± 4.12 points, respectively. All scores were significantly lower among SP compared to NSP (p < 0.05). ICU mortality reached 35.4% and was significantly lower for SP (25.3%) than NSP (57.9%) (p < 0.001). The areas under the receiver-operating characteristic (ROC) curves were 0.826, 0.836, and 0.788 for SAPS II, APACHE II, and SOFA scales, respectively, for predicting ICU prognosis, and 0.708, 0.709, and 0.661 for SAPS II, APACHE II, and SOFA, respectively, for post-ICU prognosis. Conclusions: Although APACHE II and SAPS II are good predictors of ICU mortality, they failed to predict survival after discharge. Surgical patients had a better prognosis than medical ICU patients.

Sign in / Sign up

Export Citation Format

Share Document