Occurrence of Delirium and Length of Stay of Patients in the Intensive Care Unit

Introduction: The delirium has received little attention from professionals working in the intensive care unit, mainly due to the fact that this is, rarely, the primary reason for patient admission. Given the high prevalence of delirium in an intensive care environment, the current guidelines recommend the daily assessment of delirium and a multidisciplinary approach. Delirium is a frequent and severe form of acute brain dysfunction, as well as an important source of concern in critical care. Objective: To assess the occurrence of delirium and time of stay in the intensive care unit. Method: This is a quan-titative, descriptive study, with a cross-sectional design, which was carried out in a university hospital located in the interior of the State of Rio de Janeiro. The sample consisted of 89 patients, of both sexes, aged between 24 and 92 years. The RASS and CAM-ICU scales were used to assess delirium. The data were collected every 12 hours, for 3 months, 7 days a week and in an unin-terrupted manner. Results: Were evaluated 89 patients, of which 16 were excluded according to the scale criteria, leaving 73 patients. After evaluation, 22 patients were diagnosed with delirium and 51 patients without delirium. Of the patients who presented delirium, 13 deaths and 9 had high to the nursery. Of the patients who did not have delirium, 40 had high to the nursery and 11 deaths. Patients with delirium had an average hospital stay of 23.25 days and patients who did not have delirium had an average of 4.5 days hospitalization. Conclusion: We can infer that the longer the patient spends in the intensive care unit, the greater the chance of delirium occurring. Therefore, preventive and interventional measures are necessary to decrease the mortality rate in patients with delirium and early detection is an excellent tool to improve this outcome.


Introduction
Delirium can be defined as an acute brain dysfunction characterized by transient and fluctuating changes in the state of consciousness, accompanied by cognitive impairment, which frequently affects patients admitted to intensive care units (ICU) [1]. It occurs in a short period (hours or days), is generally reversible and can be a direct consequence of a medical condition, intoxication or withdrawal syndrome, caused by the use of drugs even in therapeutic concentration, exposure to toxins or a combination of these factors [2]. Environmental factors can also trigger it, such as stress induced by ignorance of the environment, alarm noise, constant changes in professionals who provide assistance and care or procedures poorly explained to patients [2].
Currently, the most accepted theory of the pathophysiology of delirium is that the decrease in cholinergic activity associated with dopaminergic increase, corroborated by the lack of attention caused by anticholinergic medications, causes such symptoms. From a neuroscience perspective, it is believed that delirium is related to an imbalance in the synthesis, release and inactivation of neurotransmitters, modulating the control of cognitive function, behavior and mood [3].
Delirium is a syndrome that can occur as a result of multiple and complex interactions between neurotransmitter systems and pathological processes. The neurotransmitters, acetylcholine and serotonin, may play an important role in delirium due to common clinical conditions, as well as in post-surgical delirium.
Other neurotransmitters dopamine and GABA and neurobiological factors such as cytokines, hormones and free radicals will need further study to define their participation in the genesis of delirium. Future studies focused on the pathophysiology of delirium may lead to better prevention and treatment strategies [3].
The prevalence of delirium in critically ill patients varies between different studies and can affect approximately 80% of patients admitted to the Intensive Care Unit, using mechanical ventilation, however, only 32% to 66% of patients are correctly diagnosed and treated [2]. Delirium remains considerably underdiagnosed despite its high prevalence in the intensive care unit (ICU). There are reports of ICU prevalence ranging from 28% to 73%. This variation can be attributed to the heterogeneity of the population assessed (for example, disease severity, patients on mechanical ventilation or not, elderly) as well as the definition of delirium and the instrument chosen for its detection [4].
Delirium has received little attention from professionals working in the ICU, mainly due to the fact that this is rarely the primary reason for admission of patients [2]. Given the high prevalence of delirium in the intensive care setting, current guidelines recommend daily assessment of delirium and a multidisciplinary approach [1]. Delirium is a frequent and severe form of acute brain dysfunction and an important source of concern in critical care. In the last ten years, studies have clearly demonstrated an association between delirium and increased mortality, duration of mechanical ventilation and hospital stay [5].
Considered a geriatric emergency, delirium is associated with a worse progno-  [6].
In critically ill patients, the most used diagnostic scales, due to their simplicity and adequate accuracy, are the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) and the Intensive Care Delirium Screening Checklist (ICDSC) [7]. The CAM-ICU was created, based on the DSM-IV criteria (DSM-IV refers to a clinically significant behavioral or psychological syndrome or pattern that occurs in an individual), with the objective of facilitating the diagnosis of delirium in the ICU and allowing the evaluation of patients on mechanical ventilation (incapable of verbal communication) [7].
Delirium is a critical and highly prevalent problem among critically ill patients. The Intensive Care Unit Confusion Assessment Method (CAM-ICU) and the Intensive Care Delirium Screening Checklist (ICDSC) are the most recommended assessment tools for detecting delirium in the intensive care unit (ICU) [8]. CAM-ICU has high sensitivity, is widely studied and suggested as a tool of choice for the diagnosis of delirium [9]. For the mixed ICU population, CAM-ICU remained more sensitive than ICDSC [10].
Currently, tools are available for diagnosing critical patients, even if they are on mechanical ventilation. However, it is necessary to organize a systematized and standardized routine that enables the use of these tools. As delirium is often forgotten in clinical routine, ongoing screening for delirium should be performed [11].
The validated instruments allow the diagnosis and monitoring of delirium, enabling the early start of treatment. The low incidences of delirium and the implementation of preventive measures should be a frequent objective for quality improvement in the ICU, and may represent a better process of care and optimization of patient-centered outcomes [4]. Delusional patients who remained in the ICU for a long period presented greater need for ventilatory support and higher mortality in the ICU [12].
Teaching and interprofessional involvements are essential for the successful implementation of delirium assessment practice in the intensive care unit. Improving nurses' knowledge can lead to better delirium management practice and improve patient care in the ICU. The practice of teaching and the involvement of the care team is essential for a successful implementation of delirium assessment in the ICU [13]. It is for all the impact it has on health services, professionals and, above all, on patients and their families, that we suggest paying more attention to delirium and, why not, considering it as the 7th vital sign [14].
Therefore, we consider it important to develop research that provides knowledge of this syndrome and the scenario to be investigated, in order to contribute to the implementation of a systematized and standardized routine for the diagnosis of delirium, enabling an early multidisciplinary care with interventional The aim of this study is to assess the occurrence of delirium and the length of stay of patients in the Intensive Care Unit.

Methods
This is a quantitative, descriptive study with a cross-sectional design, which was carried out at a university hospital located in the interior of the State of Rio de Janeiro. The sample consisted of 89 patients, of both genders, aged between 24 and 92 years, who have passed through the intensive care unit. So these patients, were framed in the following criteria: To assess delirium, the RASS (Richmond Agitation Sedation Scale) and CAM-ICU scales were used. Data were collected every 12 hours, for 3 months, 7 days a week and without interruption.
To make the diagnosis of delirium, it was necessary to combine sedation and delirium monitoring, using the two-step method for assessing consciousness.
The first step refers to the assessment of sedation and agitation, quantified by the Richimond Scale of Agitation-RASS Sedation, which has already been implemented in the service. The rating scale ranges from +4 to −5.
The attribution of scores to the patient by the RASS scale was done as follows: score zero refers to the alert patient, without apparent agitation or sedation. Levels below zero mean some degree of sedation, levels above zero mean that the patient has some degree of agitation.
The procedure for analyzing the RASS Scale is as follows: 1) Observe the pa- After patient assessment, according to the RASS definition, all patients whose classification was greater than −4 and less than +4, proceeded to the second step.
That is, those classified as RASS −4 and −5 were excluded due to intense sedation, as well as those classified as RASS +4 due to intense agitation.
After determining the RASS, the second step was continued, this being the assessment using the Confusional Assessment Method in Intensive Care Unit

Results
The first phase comprised 89 patients admitted to the Intensive Care Unit, who underwent the RASS scale, following the exclusion criteria. Thus, 16 patients were excluded, as they fit into classification −4, deeply sedated or −5, patient in a coma, unresponsive to verbal stimuli or physical examination, representing 18% of the sample. Table 1 shows the distribution of these patients in the period, where 82% were included in the sample, which means that 73 patients went to the second phase, for evaluation using the CAM-ICU scale for diagnosis and monitoring of delirium.
In Table 2, with the execution of the second step in those patients eligible for the RASS scale, we see that the prevalence of delirium was 30%, that is, of 73 patients evaluated in the period, 22 were diagnosed with delirium at some point during the period of stay in the ICU, following the diagnostic criteria of the CAM-ICU scale.
Regarding the length of stay in the ICU, we performed two analyses: the first, comparing the length of stay between those who had and did not have delirium,    Discharge to the ward 6 7 and the second, comparing the time to discharge/death outcome in those who had delirium.
In Table 3, we see that patients with delirium had a mean hospital stay of 23.25 days and a median of 10.5 days, and those who did not have delirium had an average of 4.5 days and a median of 3.5 days. Table 4 shows the relationship between length of stay and the outcome of patients who had delirium, and those who were discharged to the ward had an average of 6 days of hospitalization and a median of 7, whereas those who had been delirium and who progressed to death had an average of 32.61 days of hospitalization and a median of 17 days.
Regarding the outcome of the 22 patients with delirium, Table 5 shows that 59.09% (13) evolved to death and 40.91% (9) were discharged to the ward.
Use Assessing the outcome of patients without delirium, Table 6 shows that 78.43% (40) were discharged to the ward, while 11 evolved to death, representing 21.57% of the sample.
The risk factors of the delirium among the patients and the cause of the death, were not described in this study, as the aim of the study was to assess the occurrence of delirium and time of stay in the intensive care unit.

Discussion
Delirium is the most common form of acute brain dysfunction in ICU and affects up to 80% of patients, however, it is often undervalued and not recognized in the same way as other organ dysfunction 1. There are reports of ICU prevalence ranging from 28% to 73%. This variation can be attributed to the heterogeneity of the population assessed (for example, disease severity, patients on mechanical ventilation or not, elderly) as well as the definition of delirium and the instrument chosen for its detection [4].
The CAM-ICU scale, unprecedented in use in this ICU, proved to be a simple, fast and easy to apply scale. It only required a quick training which allowed its proper use. The analyzes show a 30% prevalence of delirium in the population studied, and this result is compatible with previous studies, which show a variation of 28% to 80% in critically ill patients in the ICU, which may be even greater in those under invasive mechanical ventilation.
Even so, we must consider here the fluctuating characteristic of delirium, and this value may be underestimated, since the evaluations were made only twice a day. We believe that if CAM-ICU is implemented in the service and used systematically, by all professionals who assist those patients, within 24 hours, a greater number of cases will be diagnosed. It is important to monitor delirium because it is often underdiagnosed (3% -66% of cases of Delirium in the intensive care unit are undiagnosed) and has important prognostic implications for the patient [1].
When comparing the total public and the public with delirium with the length of stay in the sector, we observed that this time was up to 5 times longer than those who did not have delirium. Thus, we believe that delirium is related to an increase in the length of hospital stay and death, thus presenting itself as a predictor of poor prognosis.
Among the patients who had delirium, 13 progressed to death, that is, a rate of 59%. When compared with the 22% mortality rate among those who did not times greater chance of progressing to death, which corroborates the concept of previous studies that delirium is associated with a worse prognosis and increased mortality. According to the study developed by Pessoa [2], its development was associated with a three-fold increase in the risk of death, after controlling for preexisting comorbidities, disease severity and the use of sedative and analgesic medications. More studies are needed to confirm these criteria for the relationship between delirium and length of hospital stay and risk of death.

Conclusion
We can infer that the longer the patient spends in the intensive care unit, the greater the chance of delirium. Therefore, preventive and interventional measures are needed to reduce the mortality rate in patients with delirium, and early detection is an excellent tool to improve this outcome.