scholarly journals Factors Associated within 28 Days In-Hospital Mortality of Patients with Acute Respiratory Distress Syndrome

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Nadia Sharif ◽  
Muhammad Irfan ◽  
Javaid Hussain ◽  
Javaid Khan
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Causes Of Death ◽  
Multiorgan Failure ◽  
Univariate Analysis ◽  
Apache Ii Score ◽  
Refractory Shock ◽  
High Apache ◽  
Refractory Hypoxemia

Objective. To determine the factors leading to in-hospital mortality within 28 days in hospitalized patients with ARDS. It was a prospective observational cohort study conducted in Intensive Care Unit of Aga Khan University Hospital Karachi from March to August 2011.Methodology. Data was collected from patients admitted in the intensive care unit on the basis of inclusion and exclusion criteria. The patients were followed daily for 28 days to record any in-hospital complications and the outcome of patients.Results. Total of 46 patients were included during this period out of which 56% (26) were males and 43% (20) were females. Mean age was 44 ± 19 years. There were 11 (23.9%) patients with age >65 and 35 (76%) had age <65 years. There were 21 (45.6%) patients with pulmonary ARDS and 25 (54.3%) had extrapulmonary ARDS. APACHE II score of >20 was present in 23 (50%) patients while the rest had score of <20. Regarding in-hospital complications, 23 (50%) patients developed sepsis, 31 (67.4%) had multiorgan failure, 14 (30%) had refractory shock, and 15 (32.6%) developed refractory hypoxemia. Out of 46 patients, 26 (56.5%) died within 28 days. On univariate analysis, high APACHE score, multiorgan failure, refractory shock, and refractory hypoxemia were main causes of death.Conclusion. ARDS is a syndrome of high mortality with mortality rate of 56.5% in this study. High APACHE, sepsis, multiorgan failure, refractory shock, and refractory hypoxemia are the leading causes of death in our patients.

Outcomes of Critically Ill Gynecological Cancer Patients Admitted to Intensive Care Unit

2012 ◽  
Vol 30 (1) ◽  
pp. 7-11 ◽  
Author(s):  
Silvio A. Ñamendys-Silva ◽  
María O. González-Herrera ◽  
Julia Texcocano-Becerra ◽  
Angel Herrera-Gómez
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Prognostic Factors ◽  
Mortality Rate ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Gynecological Cancer ◽  
Apache Ii ◽  
Apache Ii Score

Purpose: To assess the characteristics of critically ill patients with gynecological cancer, and to evaluate their prognosis. Methods: Fifty-two critically ill patients with gynecological cancer admitted to intensive care unit (ICU) were included. Univariate and multivariate logistic regressions were used to identify factors associated with hospital mortality. Results: Thirty-five patients (67.3%) had carcinoma of the cervix uteri and 11 (21.2%) had ovarian cancer. The mortality rate in the ICU was 17.3% (9 of 52) and hospital mortality rate were 23%(12 of 52). In the multivariate analysis, independent prognostic factors for hospital mortality were vasopressor use (odds ratio [OR] = 8.60, 95% confidence interval [CI] 2.05-36; P = .03) and the Acute Physiology and Chronic Health Evaluation (APACHE) II score (OR = 1.43, 95% CI 1.01-2.09; P = .048). Conclusions: The independent prognostic factors for hospital mortality were the need for vasopressors and the APACHE II score.

The Utility of Acute Physiology and Chronic Health Evaluation II Scores for Prediction of Mortality among Intensive Care Unit (ICU) and Non-ICU Patients with Methicillin-Resistant Staphylococcus aureus Bacteremia

2012 ◽  
Vol 33 (6) ◽  
pp. 558-564 ◽  
Author(s):  
Vanessa Stevens ◽  
Thomas P. Lodise ◽  
Brian Tsuji ◽  
Meagan Stringham ◽  
Jill Butterfield ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Staphylococcus Aureus ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Chronic Health Evaluation ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Health Evaluation ◽  
Icu Patients ◽  
Time Points

Objective.Bloodstream infections due to methicillin-resistant Staphylococcus aureus (MRSA) have been associated with significant risk of in-hospital mortality. The acute physiology and chronic health evaluation (APACHE) II score was developed and validated for use among intensive care unit (ICU) patients, but its utility among non-ICU patients is unknown. The aim of this study was to determine the ability of APACHE II to predict death at multiple time points among ICU and non-ICU patients with MRSA bacteremia.Design.Retrospective cohort study.Participants.Secondary analysis of data from 200 patients with MRSA bacteremia at 2 hospitals.Methods.Logistic regression models were constructed to predict overall in-hospital mortality and mortality at 48 hours, 7 days, 14 days, and 30 days using APACHE II scores separately in ICU and non-ICU patients. The performance of APACHE II scores was compared with age adjustment alone among all patients. Discriminatory ability was assessed using the c-statistic and was compared at each time point using X2 tests. Model calibration was assessed using the Hosmer-Lemeshow goodness-of-fit test.Results.APACHE II was a significant predictor of death at all time points in both ICU and non-ICU patients. Discrimination was high in all models, with c-statistics ranging from 0.72 to 0.84, and was similar between ICU and non-ICU patients at all time points. APACHE II scores significantly improved the prediction of overall and 48-hour mortality compared with age adjustment alone.Conclusions.The APACHE II score may be a valid tool to control for confounding or for the prediction of death among ICU and non-ICU patients with MRSA bacteremia.

scholarly journals Influence of time elapsed from end of emergency surgery until admission to intensive care unit, on Acute Physiology and Chronic Health Evaluation II (APACHE II) prediction and patient mortality rate

2005 ◽  
Vol 123 (4) ◽  
pp. 167-174 ◽  
Author(s):  
Paulo Antonio Chiavone ◽  
Samir Rasslan
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Mortality Rate ◽  
Length Of Stay ◽  
Hospital Mortality ◽  
Emergency Surgery ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Death Risk ◽  
Expected Mortality

CONTEXT AND OBJECTIVE: Patients are often admitted to intensive care units with delay in relation to when this service was indicated. The objective was to verify whether this delay influences hospital mortality, length of stay in the unit and hospital, and APACHE II prediction. DESIGN AND SETTING: Prospective and accuracy study, in intensive care unit of Santa Casa de São Paulo, a tertiary university hospital. METHODS: We evaluated all 94 patients admitted following emergency surgery, from August 2002 to July 2003. The variables studied were APACHE II, death risk, length of stay in the unit and hospital, and hospital mortality rate. The patients were divided into two groups according to the time elapsed between end of surgery and admission to the unit: up to 12 hours and over 12 hours. RESULTS: The groups were similar regarding gender, age, diagnosis, APACHE II score and hospital stay. The death risk factors were age, APACHE II and elapsed time (p < 0.02). The mortality rate for the over 12-hour group was higher (54% versus 26.1%; p = 0.018). For the over 12-hour group, observed mortality was higher than expected mortality (p = 0.015). For the up to 12-hour group, observed and expected mortality were similar (p = 0.288). CONCLUSION: APACHE II foresaw the mortality rate among patients that arrived faster to the intensive care unit, while the mortality rate was higher among those patients whose admission to the intensive care unit took longer.

scholarly journals Echocardiogram in critically ill patients with COVID-19

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
B F O Gomes ◽  
T M B Silva ◽  
I R R Menezes ◽  
A S Azevedo ◽  
L S Peres ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Ventricular Dysfunction ◽  
Classification Tree ◽  
Statistical Significance ◽  
Systolic Dysfunction ◽  
Univariate Analysis ◽  
Elevated Serum ◽  
Independent Marker

Abstract Background Describe echocardiographic characteristics in patients admitted to an intensive care unit by COVID-19 and identify clinical and laboratory findings associated with an abnormal echocardiogram and its association with in-hospital mortality. Methods Included all patients with RT-PCR-confirmed COVID-19 who underwent echocardiography during hospitalization. Echocardiographic characteristics were assessed in the entire population and subgroups. We also analyzed clinical characteristics associated with an abnormal echocardiogram. An echocardiogram was defined as abnormal when it demonstrates systolic ventricular dysfunction of any degree (left and/or right ventricle) and/or high filling pressures (E/E' ratio&gt;16; SPAP&gt;40mmHg, RAP&gt;15mmHg or diastolic dysfunction ≥ grade 2) and/or moderate to severe pericardial effusion. Clinical variables were also assessed using a classification tree and binary logistic regression was performed with characteristics that showed a statistical significance in univariate analysis. Finally, echocardiographic variables were assessed for in-hospital mortality outcome using the chi-square test. Results 272 admissions to ICU by COVID-19 were identified. Of these, 159 underwent echocardiography (58.5%). 39 were excluded by incomplete demographic data. 72 echocardiograms (60%) were abnormal according to pre-established criteria. Low occurrence of left and right ventricular systolic dysfunction was observed, as well as 30.8% of the population had a normal diastolic function. In univariate analysis, characteristics associated with abnormal echocardiogram were age, elevated troponin, previous heart failure, and SAPS3 score. In the regression model, troponin was the independent marker of abnormal echocardiography in patients admitted to the intensive care unit by COVID19. This finding was corroborated by the classification tree. The abnormal echocardiogram was not associated with in-hospital mortality (OR 1.60; CI95% 0.75–3.41), but the presence of systolic ventricular dysfunction of any degree was associated with a higher occurrence of this outcome (OR 3.52; CI95% 1.12–11.1). Conclusions In intensive care COVID-19 patients, many manifested elevated ventricular filling pressures, but the occurrence of ventricular dysfunction was low. Elevated serum troponin level was the independent marker associated with an abnormal echocardiogram. Systolic ventricular dysfunction was the only echocardiographic variable associated with in-hospital mortality. FUNDunding Acknowledgement Type of funding sources: None.

scholarly journals Pre-albumin is a strong prognostic marker in elderly intensive care unit patients

2021 ◽  
Vol 45 (4-5) ◽  
pp. 225-228
Author(s):  
Liyan Luo ◽  
Min Wang
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Risk Index ◽  
Univariate Analysis ◽  
Prognostic Nutritional Index ◽  
Nutritional Risk ◽  
Receiver Operating Curve ◽  
Nutrition Status ◽  
Nutritional Risk Index

Abstract Objectives Pre-albumin (PAB) can be used to evaluate the association between nutrition status and in-hospital mortality. However, there is no literature to compare if PAB is the best indicator to predict in-hospital mortality among the nutrition indexes in a study. Methods We operated a retrospective study including 145 patients admitted to our institution’s elderly intensive care unit (ICU) from January, 2017 to December, 2019. Admission laboratory results were collected. Regression analysis and receiver operating curve (ROC) were analyzed to explore the performance of different nutrition indexes. Results The levels of PAB were significantly different between the survivor and non-survivor group (p=0.001). Univariate analysis showed nutrition indexes (lymphocytes, albumin, body mass index [BMI], geriatric nutritional risk index (GNRI), prognostic nutritional index [PNI] and PAB) were associated with in-hospital mortality (all p<0.1). Following adjustment for age, platelets and creatinine (CREA), only BMI and PAB remained statistically significant (BMI: HR 2.799, 95% CI 1.167–6.715, p=0.021; PAB: HR 6.329, 95% CI 2.660–15.151, p<0.001). In addition, PAB had the highest area under the curve (AUC) for predicting in-hospital mortality (AUC = 0.696) followed by BMI (AUC = 0.561) and other factors. Conclusions PAB is a better predictor of in-hospital mortality than other nutrition indexes in elderly ICU patients.

Characteristics and outcomes of oncology patients requiring admission to an Australian intensive care unit.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e21653-e21653
Author(s):  
Aaron Tan ◽  
Sarah Freyberg ◽  
Meredith Oatley ◽  
Alexander David Guminski
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Data Collection ◽  
Hospital Mortality ◽  
Palliative Treatment ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Oncology Patients ◽  
Icu Admission

e21653 Background: Patients with advanced malignancies have historically been considered poor candidates for the intensive care unit (ICU), however survival and prognosis is continually improving and requirements for use of intensive care services is increasing. This study aimed to understand the characteristics and outcomes of oncology patients admitted to an Australian ICU and identify potential prognostic factors. Methods: A single-centre, retrospective, cohort study was conducted at Royal North Shore Hospital, a tertiary public hospital in Sydney, Australia with a 58-bed quaternary ICU. All patients aged > 18 years, admitted under the medical oncology team requiring ICU admission between June 2014 and June 2016 were evaluated. Data collected included basic demographics, cancer type and status, performance status (ECOG) and co-morbidities (ACE-27 score). Clinical outcomes were determined including ICU and hospital mortality, requirements (ventilation, dialysis, vasopressors, infection) and APACHE II scores. Results: There were 96 patients admitted to the ICU during the study period. Mean age was 61 years, 58% were male and 76% had metastatic disease. Most patients were receiving palliative treatment (89%), with recent chemotherapy (43%), immunotherapy (10%) and other therapies (5%). Of the 10 patients with recent immunotherapy, three (all melanoma) required ICU admission due to immunotoxicity with all three alive at time of data collection (mean 222 days follow-up). 13% were admitted due to an oncological emergency. Most common primary tumour site was thoracic (20%), genitourinary (11%), breast (10%) and melanoma (10%). Mean APACHE II score was 17 (SD 5.33), mean SOFA score was 4 (SD 2.70), ICU mortality was 5% and hospital mortality was 22%. For the 75 patients (78%) discharged from hospital, 42 (56%) were still alive at time of data collection (mean 321 days follow-up). Conclusions: Our patient population had good short-term outcomes for survival despite most receiving palliative treatment, although prognostic scores were also favourable. This suggests cancer patients can achieve positive outcomes after ICU admission with appropriate selection of patients crucial.

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

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.

Code Blue Events in the Neonatal and Pediatric Intensive Care Units at a Tertiary Care Children's Hospital

2020 ◽  
Author(s):  
Catherine M. Groden ◽  
Erwin T. Cabacungan ◽  
Ruby Gupta
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Life Support ◽  
Univariate Analysis ◽  
Tertiary Care ◽  
Neonatal Resuscitation ◽  
Advanced Life Support ◽  
Pediatric Intensive Care ◽  
Code Blue ◽  
Neonatal Resuscitation Program

Objective The authors aim to compare all code blue events, regardless of the need for chest compressions, in the neonatal intensive care unit (NICU) versus the pediatric intensive care unit (PICU). We hypothesize that code events in the two units differ, reflecting different disease processes. Study Design This is a retrospective analysis of 107 code events using the code narrator, which is an electronic medical record of real-time code documentation, from April 2018 to March 2019. Events were divided into two groups, NICU and PICU. Neonatal resuscitation program algorithm was used for NICU events and a pediatric advanced life-support algorithm was used for PICU events. Events and outcomes were compared using univariate analysis. The Mann–Whitney test and linear regressions were done to compare the total code duration, time from the start of code to airway insertion, and time from airway insertion to end of code event. Results In the PICU, there were almost four times more code blue events per month and more likely to involve patients with seizures and no chronic condition. NICU events more often involved ventilated patients and those under 2 months of age. The median code duration for NICU events was 2.5 times shorter than for PICU events (11.5 vs. 29 minutes), even when adjusted for patient characteristics. Survival to discharge was not different in the two groups. Conclusion Our study suggests that NICU code events as compared with PICU code events are more likely to be driven by airway problems, involve patients <2 months of age, and resolve quickly once airway is taken care of. This supports the use of a ventilation-focused neonatal resuscitation program for patients in the NICU. Key Points

scholarly journals Safety and efficacy of routine diagnostic test reduction interventions in patients admitted to the intensive care unit: A systematic review and meta-analysis

2021 ◽  
Vol 49 (1) ◽  
pp. 23-34
Author(s):  
Katherine P Hooper ◽  
Matthew H Anstey ◽  
Edward Litton
Keyword(s):  
Systematic Review ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Meta Analysis ◽  
Diagnostic Testing ◽  
Intervention Group ◽  
Cochrane Central Register ◽  
Safety And Efficacy ◽  
Significant Difference

Reducing unnecessary routine diagnostic testing has been identified as a strategy to curb wasteful healthcare. However, the safety and efficacy of targeted diagnostic testing strategies are uncertain. The aim of this study was to systematically review interventions designed to reduce pathology and chest radiograph testing in patients admitted to the intensive care unit (ICU). A predetermined protocol and search strategy included OVID MEDLINE, OVID EMBASE and the Cochrane Central Register of Controlled Trials from inception until 20 November 2019. Eligible publications included interventional studies of patients admitted to an ICU. There were no language restrictions. The primary outcomes were in-hospital mortality and test reduction. Key secondary outcomes included ICU mortality, length of stay, costs and adverse events. This systematic review analysed 26 studies (with more than 44,00 patients) reporting an intervention to reduce one or more diagnostic tests. No studies were at low risk of bias. In-hospital mortality, reported in seven studies, was not significantly different in the post-implementation group (829 of 9815 patients, 8.4%) compared with the pre-intervention group (1007 of 9848 patients, 10.2%), (relative risk 0.89, 95% confidence intervals 0.79 to 1.01, P = 0.06, I2 39%). Of the 18 studies reporting a difference in testing rates, all reported a decrease associated with targeted testing (range 6%–72%), with 14 (82%) studies reporting >20% reduction in one or more tests. Studies of ICU targeted test interventions are generally of low quality. The majority report substantial decreases in testing without evidence of a significant difference in hospital mortality.

Hyperoxia is associated with adverse outcomes in the cardiac intensive care unit: insights from the Medical Information Mart for Intensive Care (MIMI-III) database

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A.Y Lui ◽  
L Garber ◽  
M Vincent ◽  
L Celi ◽  
J Masip ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Logistic Regression ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Adverse Outcomes ◽  
Rank Test ◽  
Positive Pressure ◽  
Cardiac Intensive Care Unit ◽  
Multivariable Logistic Regression ◽  
Cardiac Intensive Care

Abstract Background Hyperoxia produces reactive oxygen species, apoptosis, and vasoconstriction, and is associated with adverse outcomes in patients with heart failure and cardiac arrest. Our aim was to evaluate the association between hyperoxia and mortality in patients (pts) receiving positive pressure ventilation (PPV) in the cardiac intensive care unit (CICU). Methods Patients admitted to our medical center CICU who received any PPV (invasive or non-invasive) from 2001 through 2012 were included. Hyperoxia was defined as time-weighted mean of PaO2 &gt;120mmHg and non-hyperoxia as PaO2 ≤120mmHg during CICU admission. Primary outcome was in-hospital mortality. Multivariable logistic regression was used to assess the association between hyperoxia and in-hospital mortality adjusted for age, female sex, Oxford Acute Severity of Illness Score, creatinine, lactate, pH, PaO2/FiO2 ratio, PCO2, PEEP, and estimated time spent on PEEP. Results Among 1493 patients, hyperoxia (median PaO2 147mmHg) during the CICU admission was observed in 702 (47.0%) pts. In-hospital mortality was 29.7% in the non-hyperoxia group and 33.9% in the hyperoxia group ((log rank test, p=0.0282, see figure). Using multivariable logistic regression, hyperoxia was independently associated with in-hospital mortality (OR 1.507, 95% CI 1.311–2.001, p=0.00508). Post-hoc analysis with PaO2 as a continuous variable was consistent with the primary analysis (OR 1.053 per 10mmHg increase in PaO2, 95% CI 1.024–1.082, p=0.0002). Conclusions In a large CICU cohort, hyperoxia was associated with increased mortality. Trials of titration of supplemental oxygen across the full spectrum of critically ill cardiac patients are warranted. Funding Acknowledgement Type of funding source: None

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