Albumin–bilirubin score is associated with in-hospital mortality in critically ill patients with acute pancreatitis

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.

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Serum lactate dehydrogenase level is associated with in-hospital mortality in critically Ill patients with acute kidney injury

International Urology and Nephrology ◽

10.1007/s11255-021-02792-z ◽

2021 ◽

Author(s):

Dan Zhang ◽

Lin Shi

Keyword(s):

Acute Kidney Injury ◽

Lactate Dehydrogenase ◽

Hospital Mortality ◽

Critically Ill ◽

Critically Ill Patients ◽

Kidney Injury ◽

Lactate Dehydrogenase Level ◽

Serum Lactate ◽

Serum Lactate Dehydrogenase ◽

Serum Lactate Dehydrogenase Level

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Relative hyperlactatemia and hospital mortality in critically ill patients: a retrospective multi-centre study

Critical Care ◽

10.1186/cc8888 ◽

2010 ◽

Vol 14 (1) ◽

pp. R25 ◽

Cited By ~ 154

Author(s):

Alistair D Nichol ◽

Moritoki Egi ◽

Ville Pettila ◽

Rinaldo Bellomo ◽

Craig French ◽

...

Keyword(s):

Hospital Mortality ◽

Critically Ill ◽

Critically Ill Patients ◽

Multi Centre Study ◽

Centre Study

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Hospital Mortality, Length of Stay, and Preventable Complications Among Critically Ill Patients Before and After Tele-ICU Reengineering of Critical Care Processes

JAMA ◽

10.1001/jama.2011.697 ◽

2011 ◽

Vol 305 (21) ◽

pp. 2175 ◽

Cited By ~ 285

Author(s):

Craig M. Lilly

Keyword(s):

Critical Care ◽

Length Of Stay ◽

Hospital Mortality ◽

Critically Ill ◽

Critically Ill Patients ◽

Care Processes ◽

Before And After

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Epidemiology and outcomes of obese critically ill patients in Australia and New Zealand

Critical Care and Resuscitation ◽

10.51893/2020.1.oa4 ◽

2020 ◽

Vol 22 (1) ◽

pp. 35-44

Author(s):

Paul Secombe ◽

◽

Richard Woodman ◽

Sean Chan ◽

David Pilcher ◽

...

Keyword(s):

New Zealand ◽

Hospital Mortality ◽

Critically Ill ◽

Critically Ill Patients ◽

Adult Population ◽

Diagnostic Category ◽

Class Ii ◽

Adverse Outcomes ◽

Class I ◽

Class I Obesity

OBJECTIVE: The apparent survival benefit of being overweight or obese in critically ill patients (the obesity paradox) remains controversial. Our aim is to report on the epidemiology and outcomes of obesity within a large heterogenous critically ill adult population. DESIGN: Retrospective observational cohort study. SETTING: Intensive care units (ICUs) in Australia and New Zealand. PARTICIPANTS: Critically ill patients who had both height and weight recorded between 2010 and 2018. OUTCOME MEASURES: Hospital mortality in each of five body mass index (BMI) strata. Subgroups analysed included diagnostic category, gender, age, ventilation status and length of stay. RESULTS: Data were available for 381 855 patients, 68% of whom were overweight or obese. Increasing level of obesity was associated with lower unadjusted hospital mortality: underweight (11.9%), normal weight (7.7%), overweight (6.4%), class I obesity (5.4%), and class II obesity (5.3%). After adjustment, mortality was lowest for patients with class I obesity (adjusted odds ratio, 0.78; 95% CI, 0.74– 0.82). Adverse outcomes with class II obesity were only seen in patients with cardiovascular and cardiac surgery ICU admission diagnoses, where mortality risk rose with progressively higher BMIs. CONCLUSION: We describe the epidemiology of obesity within a critically ill Australian and New Zealand population and confirm that some level of obesity is associated with lower mortality, both overall and across a range of diagnostic categories and important subgroups. Further research should focus on potential confounders such as nutritional status and the appropriateness of BMI in isolation as an anthropometric measure in critically ill patients.

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Abstract 15293: Noninvasive Echocardiographic Cardiac Power Output Predicts Mortality in Cardiac Intensive Care Unit Patients

Circulation ◽

10.1161/circ.142.suppl_3.15293 ◽

2020 ◽

Vol 142 (Suppl_3) ◽

Author(s):

Barry Burstein ◽

Vidhu Anand ◽

Bradley Ternus ◽

Meir Tabi ◽

Nandan S Anavekar ◽

...

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Hospital Mortality ◽

Critically Ill ◽

Power Output ◽

Critically Ill Patients ◽

Cardiac Intensive Care Unit ◽

Cardiac Power ◽

The Mean ◽

Cardiac Intensive Care

Introduction: A low cardiac power output (CPO), measured invasively, identifies critically ill patients at increased risk of mortality. CPO can also be measured non-invasively with transthoracic echocardiography (TTE), although prognostic data in critically ill patients is not available. Hypothesis: Reduced CPO measured by TTE is associated with increased hospital mortality in cardiac intensive care unit (CICU) patients. Methods: Using a database of CICU patients admitted between 2007 and 2018, we identified patients with TTE within one day (before or after) of CICU admission who had data necessary for calculation of CPO. Multivariable logistic regression determined the relationship between CPO and adjusted hospital mortality. Results: We included 5,585 patients with a mean age of 68.3±14.8 years, including 36.7% females. Admission diagnoses included acute coronary syndrome (ACS) in 57%, heart failure (HF) in 50%, cardiac arrest (CA) in 12%, and cardiogenic shock (CS) in 13%. The mean left ventricular ejection fraction (LVEF) was 47±16%, and the mean CPO was 1.0±0.4 W. CPO was inversely associated with the risk of hospital mortality (Figure A), including among patients with ACS, HF, and CS (Figure B). On multivariable analysis, lower CPO was associated with higher hospital mortality (OR 0.96 per 0.1 W, 95% CI 0.0.93-0.99, p=0.03). Hospital mortality was highest in patients with low CPO coupled with reduced LVEF, increased vasopressor requirements, or higher admission lactate. Hospital mortality was higher among patients with a CPO <0.6 W (adjusted OR 1.57, 95% CI 1.13-2.19, p = 0.007), particularly in the presence of admission lactate level >4 mmol/L (50.9%). Conclusions: Echocardiographic CPO was inversely associated with hospital mortality in CICU patients, particularly among patients with increased lactate and vasopressor requirements. Routine measurement of CPO provides important information beyond LVEF and should be considered in CICU patients.

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Body Mass Index Is Associated With Hospital Mortality in Critically Ill Patients

Critical Care Medicine ◽

10.1097/ccm.0b013e31828a2aa1 ◽

2013 ◽

Vol 41 (8) ◽

pp. 1878-1883 ◽

Cited By ~ 112

Author(s):

Peter Pickkers ◽

Nicolette de Keizer ◽

Joost Dusseljee ◽

Daan Weerheijm ◽

Johannes G. van der Hoeven ◽

...

Keyword(s):

Body Mass Index ◽

Hospital Mortality ◽

Critically Ill ◽

Body Mass ◽

Critically Ill Patients

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T3 as predictor of mortality in any cause non-critically ill patient

Endocrine Connections ◽

10.1530/ec-21-0080 ◽

2021 ◽

Author(s):

Erika Biegelmeyer ◽

Iury Scanagata ◽

Laura Alves ◽

Murilo Reveilleau ◽

Fernando Pereira Schwengber ◽

...

Keyword(s):

Hospital Mortality ◽

Clinical Outcomes ◽

Critically Ill ◽

Critically Ill Patients ◽

Critically Ill Patient ◽

Total Serum ◽

Population Total ◽

Low T3 ◽

Serum T3 ◽

Overall Mortality

Background: Low T3 syndrome refers to a set of thyroid hormone metabolism alterations present in disease state. A correlation between low T3 and poor clinical outcomes in the intensive care unit is more established. Nonetheless, studies on non-critically ill patients are few and controversial. Objective: To evaluate the prevalence and predictive value of low T3 levels on 30 days- and six month-term mortality in non-critically ill patients. Secondary outcomes evaluated length of hospital stay, overall mortality, and hospital readmission. Design: Prospective cohort study. Methods: 345 consecutive patients from Internal medicine ward of a tertiary hospital in southern Brazil included from October 2018 to April 2019 and followed for 6 months. Levels of total serum T3 were measured weekly, from admission to discharge, and correlated with 30-day hospital mortality. Results: Prevalence of low T3 was 36.6%. Low T3 levels were associated with higher 30-days hospital mortality (15.1% versus 4.1%, p<0.001) and higher 6-months overall mortality (31.7% versus 13.2%, p<0.001). Total serum T3 at admission was an independent predictor of 30-days hospital mortality. Conclusion: Low T3 levels are a prevalent condition among non-critically ill patients and this condition is associated with poor clinical outcomes in this population. Total serum T3 levels, alone or in association with other predictive scores, were demonstrated to be an easy and valuable tool for risk stratification, and should be further employed in this setting.

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Blood Urea Nitrogen and In-Hospital Mortality in Critically Ill Patients with Cardiogenic Shock: Analysis of the MIMIC-III Database

BioMed Research International ◽

10.1155/2021/5948636 ◽

2021 ◽

Vol 2021 ◽

pp. 1-7

Author(s):

En-qian Liu ◽

Chun-lai Zeng

Keyword(s):

Logistic Regression ◽

Hospital Mortality ◽

Cardiogenic Shock ◽

Critically Ill ◽

Blood Urea Nitrogen ◽

Critically Ill Patients ◽

Medical Information ◽

Multivariate Logistic Regression Model ◽

Standard Deviation Increase ◽

Urea Nitrogen

The association between blood urea nitrogen (BUN) and prognosis has been the focus of recent research. Therefore, the objective of this study was to investigate the association between BUN and hospital mortality in critically ill patients with cardiogenic shock (CS). This was a retrospective cohort study, in which data were obtained from the Medical Information Mart for Intensive Care III V1.4 database. Data from 697 patients with CS were analyzed. Logistic regression and subgroup analyses were used to assess the association between BUN and hospital mortality in patients with CS. The average age of the 697 participants was 71.14 years, and approximately 42.18% were men. In the multivariate logistic regression model, after adjusting for age, sex, diabetes, cardiac arrhythmias, urine output, simplified acute physiology score II, sequential organ failure assessment, creatinine, anion gap, and heart rate, high BUN demonstrated strong associations with increased in-hospital mortality (per standard deviation increase: odds ratio [OR] 1.47, 95% confidence interval [CI] 1.13–1.92). A similar result was observed in BUN tertile groups (BUN 23–37 mg/dL versus 6–22 mg/dL: OR [95% CI], 1.42 [0.86–2.34]; BUN 38–165 mg/dL versus 6–22 mg/dL: OR [95% CI], 1.99 [1.10–3.62]; P trend 0.0272). Subgroup analysis did not reveal any significant interactions among various subgroups, and higher BUN was associated with adverse clinical outcomes in patients with CS.

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