Rapid evaluation of Coronavirus Illness Severity (RECOILS) in intensive care: Development and validation of a prognostic tool for in‐hospital mortality

The increasing incidence of ischemic heart disease is concomitantly increasing percutaneous coronary intervention (PCI) treatments. Adequate nurse staffing has enhanced quality of care and this study was conducted to determine the relationship between survival-related PCI treatment and the level of nursing staff who care for patients admitted to receive PCI. National Health Insurance claims data from 2014 to 2015 for 67,927 patients who underwent PCI in 43 tertiary hospitals were analyzed. The relationships of nurse staffing in intensive care units (ICUs) and general wards with survival after PCI were investigated using logistic regression analyses with a generalized estimation model. The in-hospital mortality rate in ICUs was lower in hospitals with first-grade nurse staffing {odds ratio (OR) = 0.33, 95% confidence interval (CI) = 0.23–0.48}, second-grade nurse staffing (OR = 0.55, 95% CI = 0.40–0.77), or third-grade nurse staffing (OR = 0.71, 95% CI = 0.53–0.95) than in hospitals with fifth-grade nurse staffing. Nurse staffing in general wards was not related to in-hospital mortality due to PCI treatment. This study found that nurse staffing in PCI patients requiring short-term intensive care significantly affected patient survival. An understanding of the importance of managing the ICU nursing workforce for PCI treatment is required.

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Development of a Prognostic Model to Predict Mortality after Traumatic Brain Injury in Intensive Care Setting in a Developing Country

Journal of Neurosciences in Rural Practice ◽

10.1055/s-0041-1726623 ◽

2021 ◽

Vol 12 (02) ◽

pp. 368-375

Author(s):

Mini Jayan ◽

Dhaval Shukla ◽

Bhagavatula Indira Devi ◽

Dhananjaya I. Bhat ◽

Subhas K. Konar

Keyword(s):

Traumatic Brain Injury ◽

Intensive Care ◽

Brain Injury ◽

Hospital Mortality ◽

Prognostic Model ◽

Third Ventricle ◽

The Third ◽

Scan Data ◽

Gcs Score ◽

Basal Cisterns

Abstract Objectives We aimed to develop a prognostic model for the prediction of in-hospital mortality in patients with traumatic brain injury (TBI) admitted to the neurosurgery intensive care unit (ICU) of our institute. Materials and Methods The clinical and computed tomography scan data of consecutive patients admitted after a diagnosis TBI in ICU were reviewed. Construction of the model was done by using all the variables of Corticosteroid Randomization after Significant Head Injury and International Mission on Prognosis and Analysis of Clinical Trials in TBI models. The endpoint was in-hospital mortality. Results A total of 243 patients with TBI were admitted to ICU during the study period. The in-hospital mortality was 15.3%. On multivariate analysis, the Glasgow coma scale (GCS) at admission, hypoxia, hypotension, and obliteration of the third ventricle/basal cisterns were significantly associated with mortality. Patients with hypoxia had eight times, with hypotensions 22 times, and with obliteration of the third ventricle/basal cisterns three times more chance of death. The TBI score was developed as a sum of individual points assigned as follows: GCS score 3 to 4 (+2 points), 5 to 12 (+1), hypoxia (+1), hypotension (+1), and obliteration third ventricle/basal cistern (+1). The mortality was 0% for a score of “0” and 85% for a score of “4.” Conclusion The outcome of patients treated in ICU was based on common admission variables. A simple clinical grading score allows risk stratification of patients with TBI admitted in ICU.

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The presence of liver cirrhosis is a strong negative predictor of survival for patients admitted to the intensive care unit – Cirrhosis in intensive care patients

Zeitschrift für Gastroenterologie ◽

10.1055/a-1401-2387 ◽

2021 ◽

Author(s):

Jörg Bojunga ◽

Mireen Friedrich-Rust ◽

Alica Kubesch ◽

Kai Henrik Peiffer ◽

Hannes Abramowski ◽

...

Keyword(s):

Intensive Care Unit ◽

Liver Cirrhosis ◽

Intensive Care ◽

Hospital Mortality ◽

Intensive Care Treatment ◽

Matched Cohort ◽

Care Treatment ◽

Cirrhotic Patients ◽

The Impact ◽

Cirrhotic Group

Abstract Background and Aims Liver cirrhosis is a systemic disease that substantially impacts the body’s physiology, especially in advanced stages. Accordingly, the outcome of patients with cirrhosis requiring intensive care treatment is poor. We aimed to analyze the impact of cirrhosis on mortality of intensive care unit (ICU) patients compared to other frequent chronic diseases and conditions. Methods In this retrospective study, patients admitted over three years to the ICU of the Department of Medicine of the University Hospital Frankfurt were included. Patients were matched for age, gender, pre-existing conditions, simplified acute physiology score (SAPS II), and therapeutic intervention scoring system (TISS). Results A total of 567 patients admitted to the ICU were included in the study; 99 (17.5 %) patients had liver cirrhosis. A total of 129 patients were included in the matched cohort for the sensitivity analysis. In-hospital mortality was higher in cirrhotic patients than non-cirrhotic patients (p < 0.0001) in the entire and matched cohort. Liver cirrhosis remained one of the strongest independent predictors of in-hospital mortality (entire cohort p = 0.001; matched cohort p = 0.03) along with dialysis and need for transfusion in the multivariate logistic regression analysis. Furthermore, in the cirrhotic group, the need for kidney replacement therapy (p < 0.001) and blood transfusion (p < 0.001) was significantly higher than in the non-cirrhotic group. Conclusions In the presented study, liver cirrhosis was one of the strongest predictors of in-hospital mortality in patients needing intensive care treatment along with dialysis and the need for ventilation. Therefore, concerted efforts are needed to improve cirrhotic patients’ outcomes, prevent disease progression, and avoid complications with the need for ICU treatment in the early stages of the disease.

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Infection management processes in intensive care and their association with mortality

Journal of Antimicrobial Chemotherapy ◽

10.1093/jac/dkab103 ◽

2021 ◽

Author(s):

Leigh P. Fitzpatrick ◽

Bianca Levkovich ◽

Steve McGloughlin ◽

Edward Litton ◽

Allen C. Cheng ◽

...

Keyword(s):

Intensive Care ◽

New Zealand ◽

Hospital Mortality ◽

Process Of Care ◽

Infection Management ◽

Hierarchical Logistic Regression ◽

Management Processes ◽

Patient Database ◽

Improving Patient Care ◽

The Relationship

Abstract Background ICU-specific tables of antimicrobial susceptibility for key microbial species (‘antibiograms’), antimicrobial stewardship (AMS) programmes and routine rounds by infectious diseases (ID) physicians are processes aimed at improving patient care. Their impact on patient-centred outcomes in Australian and New Zealand ICUs is uncertain. Objectives To measure the association of these processes in ICU with in-hospital mortality. Methods The Australian and New Zealand Intensive Care Society (ANZICS) Adult Patient Database and Critical Care Resources registry were used to extract patient-level factors, ICU-level factors and the year in which each process took place. Descriptive statistics and hierarchical logistic regression were used to determine the relationship between each process and in-hospital mortality. Results The study included 799 901 adults admitted to 173 ICUs from July 2009 to June 2016. The proportion of patients exposed to each process of care was 38.7% (antibiograms), 77.5% (AMS programmes) and 74.0% (ID rounds). After adjusting for confounders, patients admitted to ICUs that used ICU-specific antibiograms had a lower risk of in-hospital mortality [OR 0.95 (99% CI 0.92–0.99), P = 0.001]. There was no association between the use of AMS programmes [OR 0.98 (99% CI 0.94–1.02), P = 0.16] or routine rounds with ID physicians [OR 0.96 (99% CI 0.09–1.02), P = 0.09] and in-hospital mortality. Conclusions Use of ICU-specific antibiograms was associated with lower in-hospital mortality for patients admitted to ICU. For hospitals that do not perform ICU-specific antibiograms, their implementation presents a low-risk infection management process that might improve patient outcomes.

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