Characteristics and outcomes of patients admitted to Spanish ICU: A prospective observational study from the ENVIN-HELICS registry (2006-2011)

Epidemiology and prognosis of patients with a history of cancer admitted to intensive care. A multicenter observational study

OBJECTIVE

To assess the epidemiology and outcome at discharge of cancer patients requiring admission to the Intensive Care Unit (ICU).

DESIGN

A descriptive observational study was made of data from the ENVIN-HELICS registry, combined with specifically compiled variables. Comparisons were made between patients with and without neoplastic disease, and groups of cancer patients with a poorer outcome were identified.

SETTING

Intensive Care Units participating in ENVIN-HELICS 2018, with voluntary participation in the oncological registry.

PATIENTS

Subjects admitted during over 24 h and diagnosed with cancer in the last 5 years.

PRIMARY ENDPOINTS

The general epidemiological endpoints of the ENVIN-HELICS registry and cancer-related variables.

RESULTS

Of the 92 ICUs with full data, a total of 11,796 patients were selected, of which 1786 (15.1%) were cancer patients. The proportion of cancer patients per Unit proved highly variable (1%-48%). In-ICU mortality was higher among the cancer patients than in the non-oncological subjects (12.3% versus 8.9%; p < .001). Elective postoperative (46.7%) or emergency admission (15.3%) predominated in the cancer patients. Patients with medical disease were in more serious condition, with longer stay and greater mortality (27.5%). The patients admitted to the ICU due to nonsurgical disease related to cancer exhibited the highest mortality rate (31.4%).

CONCLUSIONS

Great variability was recorded in the percentage of cancer patients in the different ICUs. A total of 46.7% of the patients were admitted after undergoing scheduled surgery. The highest mortality rate corresponded to patients with medical disease (27.5%), and to those admitted due to cancer-related complications (31.4%).

Predicting Potential Prevention Effects on Hospital Burden of Nosocomial Infections: A Multistate Modeling Approach

OBJECTIVES

Hospital-acquired infections (HAIs) place a substantial burden on health systems. Tools are required to quantify the change in this burden as a result of a preventive intervention. We aim to estimate how much a reduction in the rate of hospital-acquired infections translates into a change in hospital mortality and length of stay.

METHODS

Using multistate modelling and competing risks methodology, we created a tool to estimate the reduction in burden after the introduction of a preventive effect on the infection rate. The tool requires as inputs the patients' length of hospital stay, patients' infection information (status, time), patients' final outcome (discharged alive, dead), and a preventive effect. We demonstrated the methods on both simulated data and 3 published data sets from Germany, France, and Spain.

RESULTS

A hypothetical prevention that cuts the infection rate in half would result in 21 lives and 2212 patient-days saved in French ventilator-associated pneumonia data, 61 lives and 3125 patient-days saved in Spanish nosocomial infection data, and 20 lives and 1585 patient-days saved in German nosocomial pneumonia data.

CONCLUSIONS

Our tool provides a quick and easy means of acquiring an impression of the impact a preventive measure would have on the burden of an infection. The tool requires quantities routinely collected and computation can be done with a calculator. R code is provided for researchers to determine the burden in various settings with various effects. Furthermore, cost data can be used to get the financial benefit of the reduction in burden.

Nursing care and prevalence of adverse events in prone position: Characteristics of mechanically ventilated patients with severe SARS-CoV-2 pulmonary infection

Background

Because of the coronavirus disease 2019 (COVID‐19) pandemic, the use of prone positioning has dramatically increased in the intensive care unit (ICU). Because this manoeuvre is related to several complications, it must be performed in a protocolized manner by the appropriate personnel.

Aim

To determine the prevalence of adverse events (AEs) in patients admitted to the ICU with a diagnosis of COVID‐19‐related acute respiratory distress syndrome (C‐ARDS) undergoing mechanical ventilation in prone position (PP).

Design

Descriptive ambispective study of patients admitted to the ICU diagnosed with C‐ARDS undergoing mechanical ventilation who were in the PP at least once.

The number of PP manoeuvres and the time spent in the PP were recorded for each subject. AEs proportions and frequencies were calculated, and analysis of variance was used to assess mean differences in the number of manoeuvres and total hours in PP stratified by the number of facial pressure ulcers. IBM SPSS Statistics v.25.0. and EPIDAT 4.1 software were used.

Results

Forty‐four patients were analysed, and 130 PP manoeuvres were performed. The most frequently observed AEs were facial oedema in 26 patients (80.3%) and facial pressure ulcers in 20 (60.6%). There was a significant positive association between the time spent in PP and the development of facial pressure ulcers (P < .001). Enteral nutrition was well tolerated, and no serious AEs or sentinel events were noted.

Conclusion

Despite the stressful, demanding situation during the peak of the pandemic, the large number of PP manoeuvres, and long duration spent in this position, no serious AEs occurred. This study highlights the need to implement preventive measures to avoid the development of pressure ulcers secondary to prone positioning.

Relevance to practice

Prone positioning requires a nursing protocol to prevent the occurrence of AEs that may reduce the quality of nursing care.

Characteristics and outcomes of patients admitted to adult intensive care units in Hong Kong: a population retrospective cohort study from 2008 to 2018

Background

Globally, mortality rates of patients admitted to the intensive care unit (ICU) have decreased over the last two decades. However, evaluations of the temporal trends in the characteristics and outcomes of ICU patients in Asia are limited. The objective of this study was to describe the characteristics and risk adjusted outcomes of all patients admitted to publicly funded ICUs in Hong Kong over a 11-year period. The secondary objective was to validate the predictive performance of Acute Physiology And Chronic Health Evaluation (APACHE) IV for ICU patients in Hong Kong.

Methods

This was an 11-year population-based retrospective study of all patients admitted to adult general (mixed medical-surgical) intensive care units in Hong Kong public hospitals. ICU patients were identified from a population electronic health record database. Prospectively collected APACHE IV data and clinical outcomes were analysed.

Results

From 1 April 2008 to 31 March 2019, there were a total of 133,858 adult ICU admissions in Hong Kong public hospitals. During this time, annual ICU admissions increased from 11,267 to 14,068, whilst hospital mortality decreased from 19.7 to 14.3%. The APACHE IV standard mortality ratio (SMR) decreased from 0.81 to 0.65 during the same period. Linear regression demonstrated that APACHE IV SMR changed by − 0.15 (95% CI − 0.18 to − 0.11) per year (Pearson’s R = − 0.951, p < 0.001). Observed median ICU length of stay was shorter than that predicted by APACHE IV (1.98 vs. 4.77, p < 0.001). C-statistic for APACHE IV to predict hospital mortality was 0.889 (95% CI 0.887 to 0.891) whilst calibration was limited (Hosmer–Lemeshow test p < 0.001).

Conclusions

Despite relatively modest per capita health expenditure, and a small number of ICU beds per population, Hong Kong consistently provides a high-quality and efficient ICU service. Number of adult ICU admissions has increased, whilst adjusted mortality has decreased over the last decade. Although APACHE IV had good discrimination for hospital mortality, it overestimated hospital mortality of critically ill patients in Hong Kong.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40560-020-00513-9.

Automatic generation of minimum dataset and quality indicators from data collected routinely by the clinical information system in an intensive care unit

BACKGROUND

Quality indicators (QIs) are being increasingly used in medicine to compare and improve the quality of care delivered. The feasibility of data collection is an important prerequisite for QIs. Information technology can improve efforts to measure processes and outcomes. In intensive care units (ICU), QIs can be automatically measured by exploiting data from clinical information systems (CIS).

OBJECTIVE

To describe the development and application of a tool to automatically generate a minimum dataset (MDS) and a set of ICU quality metrics from CIS data.

METHODS

We used the definitions for MDS and QIs proposed by the Spanish Society of Critical Care Medicine and Coronary Units. Our tool uses an extraction, transform, and load process implemented with Python to extract data stored in various tables in the CIS database and create a new associative database. This new database is uploaded to Qlik Sense, which constructs the MDS and calculates the QIs by applying the required metrics. The tool was tested using data from patients attended in a 30-bed polyvalent ICU during a six-year period.

RESULTS

We describe the definitions and metrics, and we report the MDS and QI measurements obtained through the analysis of 4546 admissions. The results show that our ICU's performance on the QIs analyzed meets the standards proposed by our national scientific society.

CONCLUSIONS

This is the first step toward using a tool to automatically obtain a set of actionable QIs to monitor and improve the quality of care in ICUs, eliminating the need for professionals to enter data manually, thus saving time and ensuring data quality.

Effectiveness of Electronic Guidelines (GERH®) to Improve the Clinical Use of Antibiotics in An Intensive Care Unit

The objective of the study was to evaluate the capacity of GERH^®-derived local resistance maps (LRMs) to predict antibiotic susceptibility profiles and recommend the appropriate empirical treatment for ICU patients with nosocomial infection. Data gathered between 2007 and 2016 were retrospectively studied to compare susceptibility information from antibiograms of microorganisms isolated in blood cultures, lower respiratory tract samples, and urine samples from all ICU patients meeting clinical criteria for infection with the susceptibility mapped by LRMs for these bacterial species. Susceptibility described by LRMs was concordant with in vitro study results in 73.9% of cases. The LRM-predicted outcome agreed with the antibiogram result in >90% of cases infected with the bacteria for which GERH^® offers data on susceptibility to daptomycin, vancomycin, teicoplanin, linezolid, and rifampicin. Full adherence to LRM recommendations would have improved the percentage adequacy of empirical prescriptions by 2.2% for lower respiratory tract infections (p = 0.018), 3.1% for bacteremia (p = 0.07), and 5.3% for urinary tract infections (p = 0.142). LRMs may moderately improve the adequacy of empirical antibiotic therapy, especially for lower respiratory tract infections. LRMs recommend appropriate prescriptions in approximately 50% of cases but are less useful in patients with bacteremia or urinary tract infection.

Epidemiology and prognosis of patients with a history of cancer admitted to intensive care. A multicenter observational study

OBJECTIVE

To assess the epidemiology and outcome at discharge of cancer patients requiring admission to the Intensive Care Unit (ICU).

DESIGN

A descriptive observational study was made of data from the ENVIN-HELICS registry, combined with specifically compiled variables. Comparisons were made between patients with and without neoplastic disease, and groups of cancer patients with a poorer outcome were identified.

SETTING

Intensive Care Units participating in ENVIN-HELICS 2018, with voluntary participation in the oncological registry.

PATIENTS

Subjects admitted during over 24hours and diagnosed with cancer in the last 5 years.

PRIMARY ENDPOINTS

The general epidemiological endpoints of the ENVIN-HELICS registry and cancer-related variables.

RESULTS

Of the 92 ICUs with full data, a total of 11,796 patients were selected, of which 1786 (15.1%) were cancer patients. The proportion of cancer patients per Unit proved highly variable (1-48%). In-ICU mortality was higher among the cancer patients than in the non-oncological subjects (12.3% versus 8.9%; P<.001). Elective postoperative (46.7%) or emergency admission (15.3%) predominated in the cancer patients. Patients with medical disease were in more serious condition, with longer stay and greater mortality (27.5%). The patients admitted in ICU due to nonsurgical disease related to cancer exhibited the highest mortality rate (31.4%).

CONCLUSIONS

Great variability was recorded in the percentage of cancer patients in the different ICUs. A total of 46.7% of the patients were admitted after undergoing scheduled surgery. The highest mortality rate corresponded to patients with medical disease (27.5%), and to those admitted due to cancer-related complications (31.4%).

Managing Acinetobacter baumannii infections

PURPOSE OF REVIEW

We reviewed recent data about epidemiology of Acinetobacter baumannii, resistance mechanisms, and therapeutic options for severe infections caused by multidrug-resistant strains.

RECENT FINDINGS

A. baumannii is a major cause of nosocomial infections affecting mainly to debilitating patients in the ICU, although the spread to regular wards and to long-term care facilities is increasing. It is characterized by its great persistence in the environment and to have an extraordinary capability to develop resistance to all antimicrobials.Carbapenems may not be considered the treatment of choice in areas with high rates of carbapenem-resistant A. baumannii. Nowadays, polymyxins are the antimicrobials with the greatest level of in-vitro activity against A. baumannii. Colistin is the most widely used in clinical practice although polymyxin B seems to be associated with less renal toxicity. Colistin is administered intravenously as its inactive prodrug colistimethate. A loading dose of 9 million IU and subsequently high, extended-interval maintenance doses (4.5 million IU/12 h) are recommended. Combination therapy instead of monotherapy increases the rates of microbiological eradication although no clinical study has demonstrated a reduction in clinical outcomes (mortality or length of stay).

SUMMARY

The optimal treatment for multidrug-resistant A. baumannii nosocomial infections has not been established. There are no compelling data to recommend combination therapy for severe A. baumannii infections.

Secular Trends in an Indian Intensive Care Unit-database Derived Epidemiology: The Stride Study

Context

The Indian Society of Critical Care Medicine (ISCCM), had taken an initiative to enable all Indian ICUs (Intensive Care Unit) to capture and store relevant data in a systematic manner in an electronic database: “CHITRA” (Customized Health in Intensive Care Trainable Research and Analysis tool).

Aims

This study was aimed at capturing, and summarising longitudinal epidemiological data from a single tertiary care hospital ICU (Intensive Care Unit), based on a pre-existing database and the CHITRA system.

Settings and design

Prospective Observational

Materials and methods

Data was extracted from two databases, a pre-existing database, arbitrarily named pre-CHITRA (January 2006 to April 2014), and the CHITRATM database (October 2015 to January 2018). Diagnoses of the patients admitted were tabulated using the ICD10 (International Statistical Classification of Diseases and Related Health Problems 10th Revision) coding format. The outcomes were summarised and cross tabulated.

Statistical analysis used

Cross tabulations were used to display summarized data, analysis of outcomes were done using t test and regression analyses, and correspondence analysis was used to explore associations of descriptors.

Results

A total of 18940 patients were admitted, with a male preponderance, and the median age was fifty-two years. Most of admissions were from emergency (62%). The age (0.3, p = 0.000, CI (0.2 - 0.38)) and mean APACHE II score of patients had increased over the years (0.18, p = 0.000 CI (0.12-0.25). The ICU mortality had decreased significantly over the years (–0.04, p = 0.000, CI (–0.05 to –0.03)). The most common admission diagnosis in the pre-CHITRA database was general symptoms and signs (ICD10 R50-R69), and in the CHITRA database was Type1 Respiratory failure (ICD 10 J96.90).

Conclusion

This study has shown the utility of the CHITRA system in capturing epidemiological data from a single centre.

Key messages

The utility of the CHITRA system in capturing epidemiological data has been shown.

How to cite this article

Manu Varma MK, Krishna B, Sampath S. Secular Trends in an Indian Intensive Care Unit-Database Derived Epidemiology: The Stride Study. Indian J Crit Care Med 2019;23(6):251–257.

Methicillin-Resistant Staphylococcus aureus and Other Multidrug-Resistant Colonizations/Infections in an Intensive Care Unit: Predictive Factors

INTRODUCTION AND OBJECTIVES

Methicillin-resistant Staphylococcus aureus (MRSA) is the most prevalent pathogen causing nosocomial infections in hospitals and health centers. This work is an effort to understand the epidemiology of MRSA and other multidrug-resistant pathogens in an intensive care unit (ICU) and to analyze characteristics that might determine the risk of MRSA colonization/infection in this unit.

METHOD

An observational, 1-year prospective longitudinal study was conducted to obtain information about MRSA and other multidrug-resistant colonizations/infections. The study was conducted with ICU patients with an artificial airway. Data were obtained from the National Study of the Control of Nosocomial Infections in Intensive Care Units database.

RESULTS

MRSA colonization was highly prevalent (33%); however, other pathogens like gram(-) Bacillus showed a higher infectious potency. Acute Physiology and Chronic Health Evaluation (APACHE-II) score >15 and hospital stay of >4 days were the main variables that significantly predicted the risk of developing MRSA colonization ( p < .001 in both cases). Moreover, the presence of MRSA increased the risk of developing a second multidrug-resistant colonization/infection, especially with methicillin-resistant Pseudomona.

DISCUSSION

The high prevalence of MRSA emphasizes the need to continue studying risk factors for MRSA colonization/infection, which may allow early identification of this pathogen. Therefore, we propose the use of the APACHE-II score and length of hospital stay to predict increased risk of MRSA colonization. Awareness of the heightened risk in particular patients could lead to early detection and prevention.

To which extent can we decrease antibiotic duration in critically ill patients?

INTRODUCTION

Inadequate empirical antibiotic therapy is associated with higher mortality in critically ill patients with severe infections. Nevertheless, prolonged duration of antibiotic treatment is also potentially harmful. Development of new infections with more resistant pathogens is one of the arguments against the administration of prolonged courses of antibiotics. Areas covered: We aim to describe the optimal duration of antimicrobial therapy in the most common infections affecting critically ill patients. A literature search was performed to identify all clinical trials, observational studies, meta-analysis, and reviews about this topic from PubMed. Expert commentary: Diverse observational studies have reported a poor outcome in critically ill patients without a documented infection who receive prolonged antibiotic therapy. We summarize the available information about the optimal duration of antimicrobial therapy in critically ill patients with severe infections including community-acquired pneumonia, intra-abdominal infections, bacteremia, meningitis and urinary-tract infections as well as the clinical consequences of short antimicrobial courses in certain severe infections. The utility of procalcitonin to reduce the duration of antibiotics is also discussed. Finally, we give clear recommendations about the length of treatment for the most common infections in critically ill patients.