scholarly journals Blood glucose-related indicators are associated with in-hospital mortality in critically ill patients with acute pancreatitis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yan Lu ◽  
Qiaohong Zhang ◽  
Jianjie Lou
Keyword(s):  
Acute Pancreatitis ◽  
Blood Glucose ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Glucose Variability ◽  
Logistic Regression Models ◽  
Patient Prognosis ◽  
Mean Glucose ◽  
The Relationship

AbstractAcute pancreatitis (AP) results in potentially harmful blood glucose fluctuations, affecting patient prognosis. This study aimed to explore the relationship between blood glucose-related indicators and in-hospital mortality in critically ill patients with AP. We extracted data on AP patients from the Multiparameter Intelligent Monitoring in Intensive Care III database. Initial glucose (Glucose_initial), maximum glucose (Glucose_max), minimum glucose (Glucose_min), mean glucose (Glucose_mean), and glucose variability (glucose standard deviation [Glucose_SD] and glucose coefficient of variation [Glucose_CV]) were selected as blood glucose-related indicators. Logistic regression models and the Lowess smoothing curves were used to display the association between significant blood glucose-related indicators and in-hospital mortality. Survivors and non-survivors showed significant differences in Glucose_max, Glucose_mean, Glucose_SD, and Glucose_CV (P < 0.05). Glucose_max, Glucose_mean, Glucose_SD, and Glucose_CV were risk factors for in-hospital mortality in AP patients (OR > 1; P < 0.05). According to the Lowess smoothing curve, the overall trends of blood glucose-related indicators showed a non-linear correlation with in-hospital mortality. Glucose_max, Glucose_mean, Glucose_SD, and Glucose_CV were associated with in-hospital mortality in critically ill patients with AP.

scholarly journals Relationship between 24-h venous blood glucose variation and mortality among patients with acute respiratory failure

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xiaoling Zhang ◽  
Jingjing Zhang ◽  
Jiamei Li ◽  
Ya Gao ◽  
Ruohan Li ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Respiratory Failure ◽  
Hospital Mortality ◽  
Acute Respiratory Failure ◽  
Venous Blood ◽  
Sensitivity Analyses ◽  
Icu Mortality ◽  
Logistic Regression Models ◽  
The Mean ◽  
The Relationship

AbstractEvidence indicates that glucose variation (GV) plays an important role in mortality of critically ill patients. We aimed to investigate the relationship between the coefficient of variation of 24-h venous blood glucose (24-hVBGCV) and mortality among patients with acute respiratory failure. The records of 1625 patients in the Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC II) database were extracted. The 24-hVBGCV was calculated as the ratio of the standard deviation (SD) to the mean venous blood glucose level, expressed as a percentage. The outcomes included ICU mortality and in-hospital mortality. Participants were divided into three subgroups based on tertiles of 24-hVBGCV. Multivariable logistic regression models were used to evaluate the relationship between 24-hVBGCV and mortality. Sensitivity analyses were also performed in groups of patients with and without diabetes mellitus. Taking the lowest tertile as a reference, after adjustment for all the covariates, the highest tertile was significantly associated with ICU mortality [odds ratio (OR), 1.353; 95% confidence interval (CI), 1.018–1.797] and in-hospital mortality (OR, 1.319; 95% CI, 1.003–1.735), especially in the population without diabetes. The 24-hVBGCV may be associated with ICU and in-hospital mortality in patients with acute respiratory failure in the ICU, especially in those without diabetes.

Abstract 3775: Average Blood Glucose and Mortality in Patients Hospitalized with Acute Myocardial Infarction

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Mikhail Kosiborod ◽  
Silvio Inzucchi ◽  
Harlan M Krumholz ◽  
Lan Xiao ◽  
Phillip G Jones ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Hospital Mortality ◽  
Regression Models ◽  
Independent Predictor ◽  
Laboratory Data ◽  
Logistic Regression Models ◽  
Average Blood Glucose ◽  
The Relationship ◽  
Multivariable Adjustment ◽  
Better Than

Background: Elevated blood glucose (BG) on admission is associated with higher mortality risk in patients (pts) hospitalized with AMI. However, the prognostic value of average BG, which reflects overall glycemic exposure much better than admission BG, is unknown. Furthermore, the nature of the relationship between average BG and mortality has not been determined. Methods: We evaluated a cohort of 16,871 AMI pts hospitalized from January 2000-December 2005, using Cerner Corporation’s Health Facts® database from 40 hospitals, which contains demographics, clinical and comprehensive laboratory data. Logistic regression models evaluated the nature of the relationship between mean BG during the entire AMI hospitalization and in-hospital mortality, after adjusting for multiple patient factors and confounders. Similar analyses were performed in subgroups of pts with and without diabetes (DM). Results: A J-shaped relationship was observed between mean BG and in-hospital mortality, which persisted after multivariable adjustment (Figure ). Mortality increased with each 10 mg/dL incremental rise in mean BG over >120 mg/dL, and with incremental decline in mean BG <80 mg/dL. The slope of these relationships was much steeper in pts without DM. Conclusions: Average BG during the entire AMI hospitalization is a powerful independent predictor of in-hospital mortality. Both persistent hyper- and hypoglycemia are associated with adverse prognosis. Whether strategies directed at optimizing BG control will improve survival remains to be established. Association Between Mean BG and In-Hospital Mortality After Multivariable Adjustment (Reference: Mean BG 100 to <110)

Glycaemic control in critical illness

2016 ◽  
Author(s):  
Simon Finfer
Keyword(s):  
Blood Glucose ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Blood Glucose Concentration ◽  
Point Of Care ◽  
Glucose Variability ◽  
Severe Illness ◽  
Loop Control ◽  
Considerable Uncertainty ◽  
Glucose Management

Hyperglycaemia is a near universal occurrence in critically-ill patients. In the last 10 years, control of blood glucose has been one of the most intensively studied areas of critical care medicine. It has become clear that control of blood glucose has the potential to affect both morbidity and mortality, and considerable uncertainty remains over many aspects of blood glucose management. Both hyperglycaemia and hypoglycaemia are associated with increased mortality and should be avoided wherever possible. Wide fluctuations in blood glucose concentration (referred to as increased glucose variability) are also associated with increased mortality, but may indicate more severe illness. Increased interest in blood glucose management has demonstrated that point-of-care glucose meters designed for ambulatory use by patient with diabetes are not sufficiently accurate for use in critically-ill patients. More accurate analysers should be used in the intensive care unit and management guided by computerized. Future developments may see the introduction of accurate continuous or near continuous blood glucose analysers, but safe and effective closed loop control of blood glucose remains an elusive goal.

scholarly journals Fifteen-minute Frequency of Glucose Measurements and the Use of Threshold Alarms: Impact on Mitigating Dysglycemia in Critically Ill Patients

2019 ◽  
pp. 193229681988691 ◽  
Author(s):  
Grant V. Bochicchio ◽  
Stanley A. Nasraway ◽  
Laura J. Moore ◽  
Anthony P. Furnary ◽  
Eden A. Nohra ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Point Of Care ◽  
Glucose Variability ◽  
Clinical Team ◽  
Quality And Safety ◽  
Independent Group ◽  
Multicenter Cohort ◽  
Monitoring Devices

Background:The use of near-continuous blood glucose (BG) monitoring has the potential to improve glycemic control in critically ill patients. The MANAGE IDE trial evaluated the performance of the OptiScanner (OS) 5000 in a multicenter cohort of 200 critically ill patients.Methods:An Independent Group reviewed the BG run charts of all 200 patients and voted whether unblinded use of the OS, with alarms set at 90 and 130 to 150 mg/dL to alert the clinical team to impending hypoglycemia and hyperglycemia, respectively, would have eliminated episodes of dysglycemia: hypoglycemia, defined as a single BG <70 mg/dL; hyperglycemia, defined as >4 hours of BG >150 mg/dL; severe hyperglycemia, defined as >4 hours of BG >200 mg/dL and increased glucose variability (GV), defined as coefficient of variation (CV) >20%.Results:At least one episode of dysglycemia occurred in 103 (51.5%) of the patients, including 6 (3.0%) with hypoglycemia, 83 (41.5%) with hyperglycemia, 18 (9.0%) with severe hyperglycemia, and 40 (20.0%) with increased GV. Unblinded use of the OS with appropriate alarms would likely have averted 97.1% of the episodes of dysglycemia: hypoglycemia (100.0%), hyperglycemia (96.4%), severe hyperglycemia (100.0%), and increased GV (97.5%). Point accuracy of the OS was very similar to that of the point of care BG monitoring devices used in the trial.Conclusion:Unblinded use of the OS would have eliminated nearly every episode of dysglycemia in this cohort of critically ill patients, thereby markedly improving the quality and safety of glucose control.

scholarly journals Thyroid Function as a Predictive Tool for The Prognosis of Traumatic Patients Admitted in Surgery ICUs

2017 ◽  
Vol 5 (3) ◽  
pp. 14
Author(s):  
Ramin Azhough ◽  
Reza Movassaghi ◽  
Ali Farbod
Keyword(s):  
Thyroid Hormones ◽  
Critically Ill ◽  
Thyroid Function ◽  
Critically Ill Patients ◽  
Analytical Study ◽  
Serum Levels ◽  
Predictive Tool ◽  
Duration Of Hospitalization ◽  
Patient Prognosis ◽  
The Relationship

Background: APACHE Score is an important criterion for determining the patient prognosis, especially in critically ill patients. According to significantly changes in the serum levels of thyroidal hormones in patients, especially in critically ill patients, the aim of the present study was to evaluate the relationship between thyroid function and APACHE 4 score in the prognosis of the traumatic patients admitted in surgery ICU. Method & Material: In a descriptive-analytical study, 90 patients with multiple trauma were studied. Thyroid hormones and APACHE 4 Score were evaluated on 1st, 5th and10th days of admission for each patient. Their clinical features and duration of hospitalization, either in trauma unit or ICU, elation between thyroidal hormones and APACHE 4 Score, duration of hospitalization, and survival of patients were evaluated. Results: This study included 90 patients. A statistically significant relation was detected between thyroid hormones (TT3) and APACHE 4 Score and duration of hospitalization. Conclusion: TT3 might be utilized as a prognostic factor in the traumatic patients admitted to ICU. 

Time to Lactate Measurement Affects Efficacy of Initial Lactate on Mortality in critically ill patients with sepsis.

2020 ◽  
Author(s):  
Xueying Luo ◽  
Xiaobo Zheng ◽  
Xi Rao ◽  
Ya Li ◽  
Sujing Zheng ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Lactate Level ◽  
P Value ◽  
Detection Time ◽  
Lactate Measurement ◽  
Unit Increase ◽  
The Impact ◽  
The Relationship

Abstract Background: Evidence regarding the effect of time to lactate measurement on the relationship between the initial lactate level and mortality is limited. We aimed to investigate the relationships between time to lactate measurement, initial lactate level, and in-hospital mortality in critically ill patients with sepsis.Methods and Results: Of the 14339 eligible adult patients with recognized sepsis upon admission to the ICU based on the MIMIC-III database, the median value of initial lactate was 1.70 mmol/L (interquartile range [IQR] 1.20-2.80), and its detection time was 3.50 hours ([IQR] 1.31-10.24). The results of fully adjusted multivariate analyses demonstrated that lactate was positively associated with in-hospital mortality (odds ratio: 1.126, 95% confidence interval: 1.090 to 1.163, P<0.001), and there was an increase in the odds of death with hourly delays in lactate measurement (OR: 1.006, 95% CI: 1.004 to 1.008, P<0.001). In stratified analyses, delays in lactate measurement significantly interfered with the impact of increased lactate level on mortality (P-value for interaction<0.001). The hospital mortality rate substantially increased by 43.5% for each unit increase in lactate when measurement was delayed by 24 hours (OR: 1.435, 95% CI: 1.260 to 1.635, P<0.001).Discussion: The association of initial lactate with in-hospital mortality is likely to vary with delays in detection time (grouping based on the “1-hour bundle”) in critically ill patients with recognized sepsis upon admission to the ICU.

scholarly journals Association Between Dexamethasone and Delirium in Critically ill Patients: A Retrospective Cohort Study of a Large Clinical Database

2020 ◽  
Author(s):  
Zehao Wu ◽  
Huili Li ◽  
Kaihua Liao ◽  
Yun Wang
Keyword(s):  
Cohort Study ◽  
Length Of Stay ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Retrospective Cohort Study ◽  
Critically Ill Patients ◽  
Retrospective Cohort ◽  
Hospital Death ◽  
Icu Stay ◽  
The Relationship

Abstract BackgroundDelirium is a common complication in ICU patients, and it can significantly increase the length of hospital stay and cost. Dexamethasone is widely used in various inflammatory diseases and is a glucocorticoid commonly used in critically ill patients. There are no studies on the effect of dexamethasone on the development of delirium in critically ill patients, therefore, this study aimed to confirm the effect of dexamethasone use and the dose on the incidence of delirium and patient prognosis in critically ill patients through a large cohort study.MethodsA retrospective cohort study was conducted using data extracted from the MIMIC III database, and the primary outcome was the development of delirium, using multivariate logistic regression analysis to reveal the relationship between dexamethasone and delirium. Secondary endpoints were in-hospital mortality, total length of stay and length of ICU stay, and the relationship between dexamethasone and prognosis was assessed with Cox proportional hazards models. The Lowess smoothing technique was used to investigate the dose correlation between dexamethasone and outcomes, subgroup analysis was used to account for heterogeneity, and different correction models and propensity matching analysis were used to eliminate potential confounders.ResultsFinally, 38,509 patients were included, and 2,204 (5.7%) used dexamethasone. A significantly higher incidence of delirium (5.0% vs. 3.4%, P < 0.001), increased in-hospital mortality (15.0% vs. 11.3%, P < 0.001), and longer length of stay and ICU stay were observed in patients taking dexamethasone compared with those not taking dexamethasone. Multivariate logistic and Cox regression analyses confirmed that dexamethasone was significantly associated with delirium (adjusted OR = 1.45, 95% CI = 1.08-1.95, P = 0.014) and in-hospital mortality (adjusted HR = 1.19, 95% CI = 1.02-1.40, P = 0.032). The risk of delirium and in-hospital death was lower with dexamethasone less than 10 mg, and subjects with 10-14 mg had the shortest length of hospital stay.ConclusionsThis study demonstrated that the use of dexamethasone in critically ill patients exacerbated the occurrence of delirium, while increasing the risk of in-hospital death and length of stay, and the use of low-dose dexamethasone had a lower risk of delirium and death, which appeared to be safer.

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