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Development and validation of a new score for predicting functional outcome of neurocritically ill patients: The INCNS score.

ABSTRACT: AIMS:To develop and validate a novel score for prediction of 3-month functional outcome in neurocritically ill patients. METHODS:The development of the novel score was based on two widely used scores for general critical illnesses (Acute Physiology and Chronic Health Evaluation II, APACHE II; Simplified Acute Physiology Score II, SAPS II) and consideration of the characteristics of neurocritical illness. Data from consecutive patients admitted to neurological ICU (N-ICU) between January 2013 and June 2016 were used for the validation. The modified Rankin Scale (mRS) was used to evaluate 3-month functional outcomes. APACHE II scores, SAPS II scores, and our novel scores at 24 hours and 72 hours in N-ICU were obtained. We compared the prognostic performance of our score with APACHE II and SAPS II. RESULTS:We developed a 44-point scoring system named the INCNS score, and it includes 19 items which were categorized into five parts: inflammation (I), nutrition (N), consciousness (C), neurological function (N), and systemic function (S). We validated the INCNS score with a cohort of 941 N-ICU patients. The 72-hours INCNS score achieved an area under the receiver operating characteristic curve (AUC) of 0.828 (95% CI: 0.802-0.854), and the 24-hours INCNS score achieved an AUC of 0.788 (95% CI: 0.759-0.817). The INCNS score exhibited significantly better discriminative and prognostic performance than APACHE II and SAPS II at both 24 hours and 72 hours in N-ICU. CONCLUSION:We developed an INCNS score with superior predictive power for functional outcome of neurocritically ill patients.

SUBMITTER: Gao Q

PROVIDER: S-EPMC6930816 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Development and validation of a new score for predicting functional outcome of neurocritically ill patients: The INCNS score.

Gao Qiong Q Yuan Fang F Yang Xi-Ai XA Zhu Ji-Wen JW Song Lu L Bi Li-Jie LJ Jiao Ze-Yu ZY Kang Xiao-Gang XG Yang Fang F Jiang Wen W

CNS neuroscience & therapeutics 20190410 1

<h4>Aims</h4>To develop and validate a novel score for prediction of 3-month functional outcome in neurocritically ill patients.<h4>Methods</h4>The development of the novel score was based on two widely used scores for general critical illnesses (Acute Physiology and Chronic Health Evaluation II, APACHE II; Simplified Acute Physiology Score II, SAPS II) and consideration of the characteristics of neurocritical illness. Data from consecutive patients admitted to neurological ICU (N-ICU) between J ...[more]

PMID: 30968580

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Project description:OBJECTIVES:The Society of Critical Care Medicine recommends routine delirium monitoring, based on data in critically ill patients without primary neurologic injury. We sought to answer whether there are valid and reliable tools to monitor delirium in neurocritically ill patients and whether delirium is associated with relevant clinical outcomes (e.g., survival, length of stay, functional independence, cognition) in this population. DATA SOURCES:We systematically reviewed Cumulative Index to Nursing and Allied Health Literature, Web of Science, and PubMed. STUDY SELECTION AND DATA EXTRACTION:Inclusion criteria allowed any study design investigating delirium monitoring in neurocritically ill patients (e.g., neurotrauma, ischemic, and/or hemorrhagic stroke) of any age. We extracted data relevant to delirium tool sensitivity, specificity, negative predictive value, positive predictive value, interrater reliability, and associated clinical outcomes. DATA SYNTHESIS:Among seven prospective cohort studies and a total of 1,173 patients, delirium was assessed in neurocritically patients using validated delirium tools after considering primary neurologic diagnoses and associated complications, finding a pooled prevalence rate of 12-43%. When able to compare against a common reference standard, Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, the test characteristics showed a sensitivity of 62-76%, specificity of 74-98%, positive predictive value of 63-91%, negative predictive value of 70-94%, and reliability kappa of 0.64-0.94. Among four studies reporting multivariable analyses, delirium in neurocritically patients was associated with increased hospital length of stay (n = 3) and ICU length of stay (n = 1), as well as worse functional independence (n = 1) and cognition (n = 2), but not survival. CONCLUSIONS:These data from studies of neurocritically ill patients demonstrate that patients with primary neurologic diagnoses can meet diagnostic criteria for delirium and that delirious features may predict relevant untoward clinical outcomes. There is a need for ongoing investigations regarding delirium in these complicated neurocritically ill patients.

Project description:BackgroundIron, an essential mineral for human body, has the potential to cause toxicity at high levels. Previous studies have shown inconsistent predictive value of iron parameters in critically ill patients. Thus, we aimed to evaluate the performance of iron parameters in outcome prediction of neurocritically ill patients.MethodsRetrospective data were collected from patients admitted to the neurocritical care unit (NCU) of a tertiary teaching hospital between August 2016 and January 2017. The iron parameters were obtained at NCU admission. Primary endpoints were short-term (30-day) mortality and long-term (6-month) poor outcome, with the latter defined as modified Rankin Scale of 4-6. The predictive value of variables was determined with univariate and multivariate logistic analysis. A further subanalysis was conducted in patients stratified by the level of estimated glomerular filtration rate (eGFR).ResultsOf 103 eligible patients, the etiology included stroke (58.2%, N = 60), central nervous system infection (13.6%, N = 14), and other neurologic disorders (28.2%, N = 29). The correlation analysis showed that the increase in ferritin, as well as the reduction in transferrin and total iron-binding capacity, had strong correlation with C-reactive protein, procalcitonin, duration of NCU stay, Acute Physiology and Chronic Health Evaluation II score, and Sequential Organ Failure Assessment score. In a further subanalysis of 75 patients with eGFR ≥ 60 ml/min/1.73 m2 , twelve (16.0%) patients died within 30 days and 39 (52.0%) patients achieved good follow-up outcome data. In the multivariate logistic regression analysis, we identified baseline ferritin level as an independent predictor of short-term mortality (OR: 1.002; 95% CI: 1.000-1.003; p = 0.008) and long-term functional outcome (OR: 1.002; 95% CI: 1.000-1.004; p = 0.031).ConclusionsSerum ferritin level at admission could be used as an independent predictor of short-term mortality and long-term functional outcome in neurocritically ill patients with eGFR ≥ 60 ml/min/1.73 m2 .

Project description:BackgroundIn neurocritically ill patients, one early mechanism behind secondary brain injury is low systemic blood pressure resulting in inadequate cerebral perfusion and consequent hypoxia. Intuitively, higher partial pressures of arterial oxygen (PaO2) could be protective in case of inadequate cerebral circulation related to hemodynamic instability.Study purposeWe examined whether the association between PaO2 and mortality is different in patients with low compared to normal and high mean arterial pressure (MAP) in patients after various types of brain injury.MethodsWe screened the Finnish Intensive Care Consortium database for mechanically ventilated adult (≥ 18) brain injury patients treated in several tertiary intensive care units (ICUs) between 2003 and 2013. Admission diagnoses included traumatic brain injury, cardiac arrest, subarachnoid and intracranial hemorrhage, and acute ischemic stroke. The primary exposures of interest were PaO2 (recorded in connection with the lowest measured PaO2/fraction of inspired oxygen ratio) and the lowest MAP, recorded during the first 24 h in the ICU. PaO2 was grouped as follows: hypoxemia (< 8.2 kPa, the lowest 10th percentile), normoxemia (8.2-18.3 kPa), and hyperoxemia (> 18.3 kPa, the highest 10th percentile), and MAP was divided into equally sized tertiles (< 60, 60-68, and > 68 mmHg). The primary outcome was 1-year mortality. We tested the association between hyperoxemia, MAP, and mortality with a multivariable logistic regression model, including the PaO2, MAP, and interaction of PaO2*MAP, adjusting for age, admission diagnosis, premorbid physical performance, vasoactive use, intracranial pressure monitoring use, and disease severity. The relationship between predicted 1-year mortality and PaO2 was visualized with locally weighted scatterplot smoothing curves (Loess) for different MAP levels.ResultsFrom a total of 8290 patients, 3912 (47%) were dead at 1 year. PaO2 was not an independent predictor of mortality: the odds ratio (OR) for hyperoxemia was 1.16 (95% CI 0.85-1.59) and for hypoxemia 1.24 (95% CI 0.96-1.61) compared to normoxemia. Higher MAP predicted lower mortality: OR for MAP 60-68 mmHg was 0.73 (95% CI 0.64-0.84) and for MAP > 68 mmHg 0.80 (95% CI 0.69-0.92) compared to MAP < 60 mmHg. The interaction term PaO2*MAP was nonsignificant. In Loess visualization, the relationship between PaO2 and predicted mortality appeared similar in all MAP tertiles.ConclusionsDuring the first 24 h of ICU treatment in mechanically ventilated brain injured patients, the association between PaO2 and mortality was not different in patients with low compared to normal MAP.

Project description:IntroductionWe aimed to develop and validate a prognostic score for disability at discharge and functional outcome at three months in patients with acute ischemic stroke based on clinical information available on admission.Patients and methodsThe Dutch Stroke Score (DSS) was developed in 1227 patients with ischemic stroke included in the Paracetamol (Acetaminophen) In Stroke study. Predictors for Barthel Index (BI) at discharge ('DSS-discharge') and modified Rankin Scale (mRS) at three months ('DSS-3 months') were identified in multivariable ordinal regression. The models were internally validated with bootstrapping techniques. The DSS-3 months was externally validated in the PRomoting ACute Thrombolysis in Ischemic StrokE study (1589 patients) and the Preventive Antibiotics in Stroke Study (2107 patients). Model performance was assessed in terms of discrimination, expressed by the area under the receiver operating characteristic curve (AUC), and calibration.ResultsAt model development, the strongest predictors of Barthel Index at discharge were age per decade over 60 (odds ratio = 1.55, 95% confidence interval (CI) 1.41-1.68), National Institutes of Health Stroke Scale (odds ratio = 1.24 per point, 95% CI 1.22-1.26) and diabetes (odds ratio = 1.62, 95% CI 1.32-1.91). The internally validated AUC was 0.76 (95% CI 0.75-0.79). The DSS-3 months, additionally consisting of previous stroke and atrial fibrillation, performed similarly at internal (AUC 0.75, 95% CI 0.74-0.77) and external validation (AUC 0.74 in PRomoting ACute Thrombolysis in Ischemic StrokE (95% CI 0.72-0.76) and 0.69 in Preventive Antibiotics in Stroke Study (95% CI 0.69-0.72)). Observed outcome was slightly better than predicted.Discussion: The DSS had satisfactory performance in predicting BI at discharge and mRS at three months in ischemic stroke patients.ConclusionIf further validated, the DSS may contribute to efficient stroke unit discharge planning alongside patients' contextual factors and therapeutic needs.

Project description:OBJECTIVES:Impaired cerebral autoregulation following neurologic injury is a predictor of poor clinical outcome. We aimed to assess the relationship between body temperature and cerebral autoregulation in comatose patients. DESIGN:Retrospective analysis of prospectively collected data. SETTING:Neurocritical care unit of the Johns Hopkins Hospital. PATIENTS:Eighty-five acutely comatose patients (Glasgow Coma Scale score of ? 8) admitted between 2013 and 2017. INTERVENTIONS:None. MEASUREMENT AND MAIN RESULTS:Cerebral autoregulation was monitored using multimodal monitoring with near-infrared spectroscopy-derived cerebral oximetry index. Cerebral oximetry index was calculated as a Pearson correlation coefficient between low-frequency changes in regional cerebral oxygenation saturation and mean arterial pressure. Patients were initially analyzed together, then stratified by temperature pattern over the monitoring period: no change (< 1°C difference between highest and lowest temperatures; n = 11), increasing (? 1°C; n = 9), decreasing (? 1°C; n = 9), and fluctuating (? 1°C difference but no sustained direction of change; n = 56). Mixed random effects models with random intercept and multivariable logistic regression analysis were used to assess the association between hourly temperature and cerebral oximetry index, as well as between temperature and clinical outcomes. Cerebral oximetry index showed a positive linear relationship with temperature (? = 0.04?±?0.10; p = 0.29). In patients where a continual increase or decrease in temperature was seen during the monitoring period, every 1°C change in temperature resulted in a cerebral oximetry index change in the same direction by 0.04?±?0.01 (p < 0.001) and 0.02?±?0.01 (p = 0.12), respectively, after adjusting for PaCO2, hemoglobin, mean arterial pressure, vasopressor and sedation use, and temperature probe location. There was no significant difference in mortality or poor outcome (modified Rankin Scale score of 4-6) between temperature pattern groups at discharge, 3, or 6 months. CONCLUSIONS:In acute coma patients, increasing body temperature is associated with worsening cerebral autoregulation as measured by cerebral oximetry index. More studies are needed to clarify the impact of increasing temperature on cerebral autoregulation in patients with acute brain injury.

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Development and validation of a new score for predicting functional outcome of neurocritically ill patients: The INCNS score.

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Development and validation of a new score for predicting functional outcome of neurocritically ill patients: The INCNS score.

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