Literature DB >> 26816448

Mortality profile across our Intensive Care Units: A 5-year database report from a Singapore restructured hospital.

Shahla Siddiqui1.   

Abstract

Intensive care remains an area of high acuity and high mortality across the globe. With a rapidly aging population, the disease burden requiring intensive care is growing. The cost of critical care also is rising with new technology becoming available rapidly. We present the all-cause mortality results of 5 years database established in a restructured, large public hospital in Singapore, looking at all three types of Intensive Care Units present in our hospital. These include medical, surgical, and coronary care units.

Entities:  

Keywords:  Acute Physiology and Chronic Health Evaluation II; Intensive Care Unit mortality; report

Year:  2015        PMID: 26816448      PMCID: PMC4711206          DOI: 10.4103/0972-5229.171401

Source DB:  PubMed          Journal:  Indian J Crit Care Med        ISSN: 0972-5229


Introduction

Traditionally, the modern Intensive Care Unit (ICU) has the highest mortality compared to any other sections of a hospital.[1] The ICU mortality trends across Singapore are so far unreported. The average ICU mortality rate reported in the US ranges from 8% to 19%, or about 500,000 deaths annually.[2] The ICU serves a patient population, which is extremely ill and undergoes multiple complex interventions. In addition to its impact on mortality, critical care is a costly component of the hospital budget. These costs are largely explained by the length of stay and interventions in the ICU.[3] For these reasons, there has been substantial interest in measuring ICU outcomes, both in terms of mortality and resource utilization across the globe. Singapore has seven restructured hospitals with on average two ICUs in each hospital. A national database registry is planned for the coming years to measure ICU outcomes across all units. As a prelude to this data, we present 5 years report on data collected from an automated ICU database established at one such hospital in Singapore. Given the scarcity of ICU beds in general and the cost of delivering care in such highly specialized units, it becomes imperative to be familiar with such data.[4] An added burden is the rapidly aging population globally and particularly in Asia.[5] With life expectancy in the 80 s and more demands on critical care resources by such individuals, outcomes data becomes essential.[6]

Methods

In our 500 bedded hospital, ICU and High Dependency Unit (HDU) beds are housed in one section and comprise 8% of total beds. HDU beds are for step down care. We have medical, surgical, and cardiac ICUs (MICU, SICU, CCU) with the most beds in MICU and least in CCU. We have established an Institutional Review Board approved automated database in our hospital, which collects ICU outcomes data electronically. Our report is a result of inquiring into this database retrospectively for analysis. Data collected includes admission specific data, diagnostic criteria, outcomes, and therapeutic interventions. Data were collected from July 2010 to March 2015. We have analyzed the data collectively as well as specific to each unit (MICU, SICU and CCU).

Results

We have included 14,500 admissions in total over the specified time period in three ICUs. On an average, there are 1080, 1200, and 600 admissions in MICU, SICU, and CCU, respectively per year. Of these, there were 1134 mortalities, which make up 7% overall mortality. Individual average mortality was 7% in MICU, 8.5% in SICU, and 8.2% in CCU. Of the mortalities, the male to female ratio across the ICUs was roughly 60:40. The average age group was 60–69 years in MICU and SICU, but 70–79 years in CCU over 5 years. The patients who were >90 years and died in our ICUs in this time period was 3% and those over 80 years made up a quarter of all deaths. Average admission of >90% year old patients was 10%. More than 85% of all deaths occurred in ventilated patients. Average Acute Physiology and Chronic Health Evaluation II score was 20. Septic shock was the primary diagnosis in MICU patients while septic shock, and neurological events were the major cause of mortality in SICU patients, such as severe head injury or brain death from a cerebral edema caused by the acute bleed. Acute myocardial injury and sepsis caused most of the CCU deaths. The rate of tracheostomy carried out was 8% in SICU and 4% and 1.5%, respectively in MICU and CCU. The rates of dialysis in deceased patients were highest in MICU patients (20%) while SICU and CCU both had a 14% rate of dialysis in patients who died. Nine-two percentage of mortalities were on vasopressors in the CCU while 84% of MICU, and 76% of SICU mortalities on average received vasopressors at the time of death. Ventilator-associated pneumonia (Vap) rates are 4%, 4% and 6% in SICU, MICU, and CCU, respectively. However, mortality from VAP was <5%.

Discussion

Establishing databases and studying outcome trends adds to key knowledge about performance and resource allocation. Important information about the mortality of ICU patients among different ICUs can also guide in decisions regarding the burden of treatment and success rates.[7] Comparison within the country and with international units can be done resulting in quality improvement. This study shows a limited amount of data across all ICUs, which although is retrospective but includes a large cohort. A worrying trend is the number of elderly patients admitted across all ICUs (above 80 years), mostly requiring aggressive life-sustaining care. Whether triage decisions and end of life decision making can be changed on the basis of such data remains to be seen, and will certainly require more detailed studies. Focus on database derived outcomes research has been achieved in many countries where high cost-benefits models exist. The ICU bears roughly 20% of any hospital budget and deserves a close look at its performance and goal achievements.[8] Our all-cause ICU mortality rate across the board over 5 years is within international standards. However, it would be interesting to further compare these trends with other hospitals in the country.

Limitations

While the data are from a single teaching hospital, the rates could be improved as such by investigating the possible factors affecting the outcomes such as nursing staff shortages, training differences, etc. We hope that this report can highlight the importance of comprehensive data in the ICU and more information can be added in subsequent years on a larger scale.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
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