Prevalence Of Delirium In Patients Research Articles

Nursing diagnoses as factors associated with delirium among intensive care unit patients with sepsis: A retrospective correlational study.

To examine whether nursing diagnoses were associated with delirium in patients with sepsis. Nursing diagnosis is a nurse's clinical judgement about clients' current or potential health conditions. Delirium is regarded as an important nurse-sensitive outcome. Nonetheless, nursing diagnoses associated with delirium have not yet been identified. Retrospective correlational study. This study was carried out from December 2021 to January 2023. We analysed electronic health records of patients with sepsis admitted to the intensive care units (ICUs) of a tertiary hospital in Seoul, South Korea. Delirium was defined based on the Intensive Care Delirium Screening Checklist score. Nursing diagnoses established within 24 h of admission to the ICU were included and were based on the North American Nursing Diagnosis Association diagnostic classification. The data were analysed using logistic regression. Demographics, comorbidities, procedures and physiological measures were adjusted. Regression model was evaluated via receiver operating characteristic curve, Nagelkerke R2, accuracy and F1 score. The prevalence of delirium in patients with sepsis was 51.8%. Ineffective breathing patterns, decreased cardiac output and impaired skin integrity were significant nursing diagnoses related to delirium. Age ≥ 65 years, Acute Physiology and Chronic Health Evaluation II score, mechanical ventilation, continuous renal replacement therapy, physical restraint and comatose state were also associated with delirium in patients with sepsis. The area under the receiver operating characteristic curve was 0.806. Ineffective breathing patterns, decreased cardiac output and impaired skin integrity could manifest as prodromal symptoms of delirium among patients with sepsis. The prodromal symptoms of delirium revealed through nursing diagnoses can be efficiently used to identify high-risk groups for delirium. The use of nursing diagnosis system should be recommended in clinical practice caring for sepsis patients. STROBE checklist. No patient or public involvement.

Prevalence and risk factors of delirium in COVID-19

To assess the frequency and risk factors of delirium in patients hospitalized with COVID-19. Four hundred and forty patients admitted to the Infectious Diseases Hospital of the University Clinical Hospital No.3 of Sechenov University were included in the study. The Patient Health Questionnaire (PHQ-9), the Generalized Anxiety Disorder Screening Questionnaire-7 (GAD-7), the Insomnia Severity Index (ISI), the Delirium severity rating scale (DRS-R-98) were administered. Delirium was detected in 27.8% of patients. Significant risk factors were age (p=0.002), severity of respiratory failure (p=0.005), concomitant somatic disease (p=0.003), and respiratory therapy (p<0.001). There was an association between severe anxiety (p<0.001) and insomnia (p=0.07) observed at admission with the risk of developing delirium during the hospital stay. The study reveals a high prevalence of delirium in patients with COVID-19. In order to prevent delirium and/or reduce the risk, early diagnosis and identification of preclinical forms are of particular importance.

Delirium in Patients with COVID-19 in Japan.

Objective The incidence and clinical importance of delirium in coronavirus disease 2019 (COVID-19) have not yet been fully investigated. The present study reported the prevalence of delirium in patients with COVID-19 and identified the factors associated with delirium and mortality. Methods We performed an observational, retrospective study of patients diagnosed with COVID-19 at the Kinki-Chuo Chest Medical Center. Univariate and multivariate logistic regression analyses were used to explore delirium risk factors. Patients All consecutive patients diagnosed with COVID-19 at the Kinki-Chuo Chest Medical Center. Results We identified 600 patients [median age: 61.0 (interquartile range: 49.0-77.0) years old], of whom 61 (10.2%) developed delirium during their stay. Compared with patients without delirium, these patients were older (median age 84.0 vs. 56.0 years old, p<0.01) and had more comorbidities. Based on a multivariate analysis, age, dementia, severe disease, and lactate dehydrogenase (LDH) levels were independent risk factors for developing delirium. For every 1-year increase in age and 10-IU/L increase in LDH, the delirium risk increased by 10.8-12.0% and 4.6-5.7%, respectively. There were 15 (24.6%) in-hospital deaths in the group with delirium and 8 (1.6%) in the group without delirium (p<0.01). Delirium was associated with an increased mortality. Conclusion Delirium in patients with COVID-19 is prevalent and associated with poor clinical outcomes in Japan. Despite difficulties with COVID-19 patient care during the pandemic, physicians should be aware of the risk of delirium and be trained in its optimal management.

Delirium in Pediatric Patients With Respiratory Insufficiency Requiring Noninvasive Ventilation.

BackgroundDelirium is associated with increased length of stay, duration of mechanical ventilation, in-hospital mortality, and cost. Independent predictors of delirium include age < 2 years, developmental delay, severity of illness, mechanical ventilation, and administration of benzodiazepines and anticholinergic medications. Although patients receiving noninvasive ventilation (NIV) may have been included in prior studies, there are no data specifically focusing on delirium in children receiving NIV. Our primary aim was to investigate the prevalence of delirium in patients on NIV in the pediatric intensive care unit (PICU) and evaluate potentially modifiable risk factors for delirium.MethodsThis was a single-center, retrospective study evaluating the prevalence of delirium as established by the Cornell Assessment of Pediatric Delirium (CAPD). We evaluated PICU patients ≤ 18 years old with respiratory insufficiency requiring ≥ 48 h of NIV. Patients receiving invasive mechanical ventilation were excluded from the analysis.ResultsThere were 202 patients that received ≥ 48 h of NIV during the study period. Of these patients, 43 patients had at least one CAPD score documented while on NIV. There were a total of 143 days on NIV and 137 days with CAPD documentation. The prevalence of delirium, defined as a CAPD score ≥ 9, was 67.4% (29 of 43 patients). Sixty-nine percent of the patients who experienced delirium received benzodiazepines, compared with 14% who did not experience delirium (P = 0.001). Most patients (83.7%) in this cohort received dexmedetomidine. Of patients who received dexmedetomidine and had delirium, 68% received benzodiazepines compared to 25% in the non-delirious group (P = 0.046).ConclusionsDelirium is common in young pediatric patients receiving NIV. As previously shown in the invasive mechanical ventilation population, benzodiazepine exposure continues to be a potentially modifiable risk factor for delirium.

Impact of Family Presence on Delirium in Critically Ill Patients: A Retrospective Cohort Study.

OBJECTIVE:To assess the effect of family presence on the prevalence and duration of delirium in adults admitted to an ICU.DESIGN:Retrospective cohort study.SETTING:Medical-surgical ICUs in Alberta, AB, Canada.PATIENTS:A population of 25,537 unique patients admitted at least once to an Alberta ICU.METHODS:We obtained electronic health records of consecutive adults (≥ 18 yr) admitted to one of 14 medical-surgical ICU in Alberta, Canada, from January 1, 2014, to December 30, 2018. Family presence was quantified using a validated algorithm and categorized as: 1) physical presence in ICU, 2) telephone call only, and 3) no presence (reference group). Delirium was measured using the Intensive Care Delirium Screening Checklist (ICDSC) and defined as an ICDSC greater than or equal to 4. Multivariable mixed-effects logistic and linear regression were used to evaluate the association between family presence and prevalence (binary) and duration (d) of delirium, respectively.INTERVENTIONS:None.MEASUREMENTS AND MAIN RESULTS:The association between family presence and delirium prevalence differed according to admission type and admission Glasgow Coma Scale (GCS). Among medical and emergency surgical patients irrespective of admission GCS, physical presence of family was not significantly associated with the prevalence of delirium. In elective surgical patients, physical presence of family was associated with decreased prevalence of delirium in patients with intact Glasgow Coma Scale (GCS = 15; adjusted odds ratio, 0.60; 95% CI, 0.39–0.97; p = 0.02). Physical presence of family (adjusted mean difference [AMD] –1.87 d; 95% CI, –2.01 to –1.81; p < 0.001) and telephone calls (AMD –1.41 d; 95% CI, –1.52 to –1.31; p < 0.001) were associated with decreased duration of delirium in all patients.CONCLUSIONS:The effects of family presence on delirium are complex and dependent on type of visitation, reason for ICU admission, and brain function on ICU admission.

Delirium in Patient with Hip Fracture is Related High Mortality: A National Cohort Study

Purpose: The purpose of this study was to analyze the association between mortality and the prevalence of delirium in patients with hip fracture using national claim data. Method: This cohort study was conducted from 2010 to 2013, including diagnostic criteria for hip fractures (femoral neck fractures or femur fractures) over 50 years of age. Operational definitions of delirium include disease code and drug use. The mortality rate was calculated using the Charlson's comorbidity index and statistically analyzed using the Cox proportional hazards regression analysis. Results: A total of 1,587 patients, 209 patients (13.2%) had delirium during hospitalization (66 (31.6%) in males, 143 (68.4%) in females). After adjusting for the comorbidity index, the mortality rate in patients with postoperative delirium was 1.42 times higher than for the patients without delirium during over a mean 17-month follow-up (HR = 1.42, 95% CI; 1.07-1.87, p = 0.007). During the follow-up duration at four years, the cumulative mortality rates were higher in the delirium group (24.3% at one year, 31.8% at two years, 35.8% at three years, and 37.8% at four years, respectively) than in the non-delirium group (14.8% at one year, 21.7% at two years, 24.9% at three years, and 25.5% at four years, respectively). Conclusion: In this nationwide study, the prevalence of delirium during the hospital stay after hip fracture surgery was 13.2% and the mortality rate in patients with postoperative delirium was 1.42 times higher than for the patients without delirium during a mean 17-month follow-up.

The occurrence and timing of delirium in acute care hospitalizations in the last year of life: A population-based retrospective cohort study

Background: Delirium is a distressing neurocognitive disorder that is common among terminally ill individuals, although few studies have described its occurrence in the acute care setting among this population. Aim: To describe the prevalence of delirium in patients admitted to acute care hospitals in Ontario, Canada, in their last year of life and identify factors associated with delirium. Design: Population-based retrospective cohort study using linked health administrative data. Delirium was identified through diagnosis codes on hospitalization records. Setting/participants: Ontario decedents (1 January 2014 to 31 December 2016) admitted to an acute care hospital in their last year of life, excluding individuals age of <18 years or >105 years at admission, those not eligible for the provincial health insurance plan between their hospitalization and death dates, and non-Ontario residents. Results: Delirium was recorded as a diagnosis in 8.2% of hospitalizations. The frequency of delirium-related hospitalizations increased as death approached. Delirium prevalence was higher in patients with dementia (prevalence ratio: 1.43; 95% confidence interval: 1.36–1.50), frailty (prevalence ratio: 1.67; 95% confidence interval: 1.56–1.80), or organ failure–related cause of death (prevalence ratio: 1.23; 95% confidence interval: 1.16–1.31) and an opioid prescription (prevalence ratio: 1.17; 95% confidence interval: 1.12–1.21). Prevalence also varied by age, sex, chronic conditions, antipsychotic use, receipt of long-term care or home care, and hospitalization characteristics. Conclusion: This study described the occurrence and timing of delirium in acute care hospitals in the last year of life and identified factors associated with delirium. These findings can be used to support delirium prevention and early detection in the hospital setting.

Delirium prevalence and prevention in patients with acute brain injury: A prospective before-and-after intervention study

ObjectivesKnowledge regarding delirium prevention in patients with acute brain injury remains limited. We tested the hypothesis that an intervention bundle which targeted sedation, sleep, pain, and mobilisation would reduce delirium in patients with acute brain injury. DesignA prospective before-after intervention study: a five-month phase of standard care was followed by a six-month intervention phase. SettingThe neuro-intensive care unit, University Hospital of Copenhagen, Denmark. Main outcome measuresThe Intensive Care Delirium Screening Checklist was used to detect delirium. Primary outcome was delirium duration; secondary outcomes were delirium prevalence, ICU length of stay and one year mortality. ResultsForty-four patients were included during the standard care phase, and 50 during the intervention phase. Delirium was present in 90% of patients in the standard care group and 88% in the intervention group (p = 1.0), and time with delirium was 4 days vs 3.5 days (p = 0.26), respectively. Also, ICU length of stay (13 vs. 10.5 days (p = 0.4)) and the one year mortality (21% vs 12% (p = 0.38))) were similar between groups. ConclusionWe found a high prevalence of delirium in patients with acute brain injury. The intervention bundle did not significantly reduce prevalence or duration of delirium, ICU length of stay or one year mortality.

The Prevalence of Delirium in Patients in Iran: a Systematic Review and Meta-analysis

Aim: The first systematic review and meta analysis investigating the prevalence of delirium in Iran and the importance of delirium in the health status of patients. Method: This study is a review article to determine the overall prevalence of delirium in patients admitted to the hospitals in Iran, with search time frame to 12 October 2000–12 October 2018. The study examined the prevalence of delirium in general wards and ICUs of Iran according to published article in domestic and foreign journals. The methodological quality of the papers was based on a tool used in previous studies. Data was analyzed using comprehensive meta-analysis (CMA) software. Findings: The findings showed the prevalence of delirium in hospitalized patients in Iran is 21.8% (CI: 17.5–27.5%). The prevalence of delirium in hospitalized patients in Iran based on the hospitalization in ICU is 24.7% (CI: 18.1–32.7%) and in the general ward is 17.5% (CI: 13.6–22.3%). Conclusion: Due to the relatively high prevalence of delirium in patients admitted to hospitals in Iran, prevention is necessary to reduce the incidence of delirium.

A hospital-wide evaluation of delirium prevalence and outcomes in acute care patients - a cohort study

BackgroundDelirium is a well-known complication in cardiac surgery and intensive care unit (ICU) patients. However, in many other settings its prevalence and clinical consequences are understudied. The aims of this study were: (1) To assess delirium prevalence in a large, diverse cohort of acute care patients classified as either at risk or not at risk for delirium; (2) To compare these two groups according to defined indicators; and (3) To compare delirious with non-delirious patients regarding hospital mortality, ICU and hospital length of stay, nursing hours and cost per case.MethodsThis cohort study was performed in a Swiss university hospital following implementation of a delirium management guideline. After excluding patients aged < 18 years or with a length of stay (LOS) < 1 day, 29′278 patients hospitalized in the study hospital in 2014 were included.Delirium period prevalence was calculated based on a Delirium Observation Scale (DOS) score ≥ 3 and / or Intensive Care Delirium Screening Checklist (ICDSC) scores ≥4.ResultsOf 10′906 patients admitted, DOS / ICDSC scores indicated delirium in 28.4%. Delirium was most prevalent (36.2–40.5%) in cardiac surgery, neurosurgery, trauma, radiotherapy and neurology patients. It was also common in geriatrics, internal medicine, visceral surgery, reconstructive plastic surgery and cranio-maxillo-facial surgery patients (prevalence 21.6–28.6%). In the unadjusted and adjusted models, delirious patients had a significantly higher risk of inpatient mortality, stayed significantly longer in the ICU and hospital, needed significantly more nursing hours and generated significantly higher costs per case. For the seven most common ICD-10 diagnoses, each diagnostic group’s delirious patients had worse outcomes compared to those with no delirium.ConclusionsThe results indicate a high number of patients at risk for delirium, with high delirium prevalence across all patient groups. Delirious patients showed significantly worse clinical outcomes and generated higher costs. Subgroup analyses highlighted striking variations in delirium period-prevalence across patient groups. Due to the high prevalence of delirium in patients treated in care centers for radiotherapy, visceral surgery, reconstructive plastic surgery, cranio-maxillofacial surgery and oral surgery, it is recommended to expand the current focus of delirium management to these patient groups.

Delirium is a Strong Predictor of Mortality in Patients Receiving Non-invasive Positive Pressure Ventilation.

Non-invasive positive pressure ventilation (NIPPV) has gained popularity over the years in the treatment of acute respiratory failure (ARF). Preliminary evidence suggests that delirium is an important factor contributing to NIPPV failure and death. This study was conducted to evaluate delirium and other associated factors of deaths in patients with ARF requiring the use of NIPPV. A prospective observational study was conducted in a specialised NIPPV unit. Consecutive patients admitted for ARF requiring NIPPV were assessed by a psychiatrist for presence of delirium using the Diagnostic and Statistical Manual Version IV (DSM-IV). APACHE II score, co-morbidities-, and lung function were also assessed. Patients were followed until their deaths for a minimum of 1year. Univariate and multivariate Cox's regression analyses were performed to explore predictive factors for death. A total of 153 subjects were recruited, 49 (32.0%) of whom had delirium. On univariate analysis, higher APACHE II score, lower BMI, presence of delirium, higher Charlson's co-morbidity index but not FEV1 were associated with earlier death. On multivariate analysis, delirium (HR 4.4; 95% CI 2.6-7.4; p<0.001) and lower BMI (HR 0.92; 95% CI 0.86-0.98; p=0.013) were independently associated with earlier death within 1year. There is a high prevalence of delirium in patients requiring NIPPV. The presence of delirium is a strong predictor of mortality. There is strong need to identify and manage these high-risk patients to improve their mortality. The collaboration between psychiatrists and physicians should be strengthened.

Prevalencia del delirium en pacientes con enfermedad oncológica avanzada ingresados en una unidad de cuidados paliativos

ObjectiveTo determine the prevalence of delirium in patients admitted to a palliative care unit (PCU) diagnosed with advanced cancer disease, and its associated sociodemographic and clinical factors. MethodAn observational study was conducted during a 6-year period (2007-2012) of patients suffering from an advanced cancer disease admitted to a PCU. Variables: delirium diagnosis, age, gender, Karnofsky performance status, primary tumour location, tumour stage, symptoms (pain, dyspnoea), and mortality. ResultsOf the 1,995 patients admitted to PCU in the study period 1,826 patients diagnosed with advanced cancer were included. Of these 1,826 patients, 497 (27.2%) suffered from delirium. The mean age was 72.3±11.7 years, and 77.3% had metastatic disease, and 79.9% died during admission. The frequency of male gender (66% vs. 61%) and the presence of pain (58% vs. 45.9%) were significantly higher in patients with delirium than in patients without delirium. No significant statistically differences in the mean age and the presence of dyspnoea were found. There were no significant differences between patients≤75 years and>75 years (27.6% vs. 26.8%) for the prevalence of delirium. Within primary tumour locations, the major prevalence of delirium was in brain (39.3%), liver (36%), and kidney-urinary tract (34.5%) tumours. ConclusionThe prevalence of delirium in advanced cancer patients admitted to a PCU was 27.2%. Prevalence of delirium was not associated with advanced age. Delirium was significantly more prevalent in men, and in patients who suffered from pain. Patients with primary brain tumour had the highest incidence of delirium.

Evaluation of the prevalence and risk factors of delirium in cardiac surgery ICU.

Delirium is defined as an acute cognitive disorder presenting with fluctuation in cognition, apathy and non-organized thinking. It may increase morbidity, mortality, ICU stay and cost. In patients who underwent heart surgery delirium may increase post-operative complications such as respiratory insufficiency, sternum instability and need to re-operation of the sternum. The aim of this study was to evaluate the prevalence and risk factors of delirium in patients admitted to cardiac surgery. 18 years or older patients who had undergone cardiac surgeries and stayed for more than 24 hours in ICU following surgery were recruited. All subjects were assessed for signs &amp; symptoms of delirium using CAM-ICU and its risk factors. All data were analyzed by SPSS 16 at the end of the study. The prevalence of delirium in these patients was 23.5% (47 patients). The mean age of patients with delirium was more than other patients (P=0.001). The Incidence of delirium in the patients with cardiopulmonary bypass surgery (CPB) was higher than the patients without CPB (P=0.01). The Incidence of delirium in the patients with Atrial fibrillation was higher than patients without it (P=0.002). The Incidence of delirium in the patients with CVA history was higher than the patients without CVA history (P=0.032). The mean time of mechanical ventilation in the delirious patients was more than other patients (P=0.01). Older Age, CPB, history of CVA, Atrial Fibrillation, and prolonged mechanical ventilation are considered as the risk factors of delirium in cardiac surgery patients.

Noninvasive Positive Pressure Ventilation for Acute Respiratory Failure in Delirious Patients: Understudied, Underreported, or Underappreciated? A Systematic Review and Meta-analysis

We performed a systematic review and meta-analysis of the literature to determine the prevalence of delirium in patients receiving noninvasive positive pressure ventilation (NPPV) for acute respiratory failure and to quantify the prognostic impact of delirium with respect to NPPV failure. We searched the databases EMBASE (1996 to present), MEDLINE (1996 to present), PsycINFO(®) (2002 to present) and CINAHL (1992 to present). A Google™ search and hand searching of bibliographies or relevant articles were also performed. We searched for prospective observational studies conducted in a setting where patients with acute respiratory failure receiving NPPV were screened for delirium. All authors independently assessed references for inclusion and extracted data. Information was collated regarding study design, baseline characteristics of included patients, and the prevalence of delirium. Where prognostic information regarding NPPV failure was reported, a risk ratio for the association between delirium and NPPV failure was derived. These values were pooled in the meta-analysis. Three articles were retrieved by the search strategy. These included 239 patients receiving noninvasive ventilation who were assessed for delirium. The prevalence of delirium was recorded at between 33 and 38 % with a pooled prevalence of 37 %. Two studies reported prognostic data and the risk ratios for noninvasive ventilation failure in delirium were calculated as 1.79 (95 % CI 1.09-2.94) and 3.28 (95 % CI 1.60-6.73). A meta-analysis was performed and the pooled risk ratio was found to be 2.12 (95 % CI 1.41-3.18). The data in this context was scarce and of low quality. A diagnosis of delirium was made in 9 patients and inferred in 80. Despite the current lack of high-quality data and studies, the high reported prevalence of delirium and the association with noninvasive ventilation failure lends support for more awareness amongst health-care professionals and more routine screening. More focused primary research is necessary in this area. Adherence to NICE guidelines regarding delirium in these patients should be a standard of care.

Delirium upon admission to Swiss nursing homes: a cross-sectional study.

We wished to investigate the prevalence of delirium in patients upon admission to nursing homes and whether or not the previous place of residence predicts delirium. The Resident Assessment Instrument Minimum Data Set (RAI-MDS) and the Nursing Home Confusion Assessment Method (NHCAM) were used to determine whether the previous place of residence (community, nursing home, acute care, psychiatric, rehabilitation hospital) predicted the prevalence of sub-syndromal or full delirium in nursing home residents in three Swiss cantons (n = 11745). 39.7% had sub-syndromal and 6.5% had full delirium. Lower cognitive performance and increased depressive symptoms were significant predictors of higher NHCAM values independent of previous residence. Age, civil status, continence, newly introduced drugs, and basic activities of daily living were predictors in some resident groups. The variance of NHCAM scores explained varied between 25.1% and 32.3% depending on previous residence. Sub-syndromal and full delirium are common upon nursing home admission. Increased dependence and depression are consistently associated with higher NHCAM scores. Patients from psychiatric settings have an increased risk of delirium. Although factors associated with delirium depend on a patient's previous residence, all patients must be carefully screened for sub-syndromal and full delirium.

Delirium upon admission to Swiss nursing homes: a cross-sectional study.

We wished to investigate the prevalence of delirium in patients upon admission to nursing homes and whether or not the previous place of residence predicts delirium. The Resident Assessment Instrument Minimum Data Set (RAI-MDS) and the Nursing Home Confusion Assessment Method (NHCAM) were used to determine whether the previous place of residence (community, nursing home, acute care, psychiatric, rehabilitation hospital) predicted the prevalence of sub-syndromal or full delirium in nursing home residents in three Swiss cantons (n = 11745). 39.7% had sub-syndromal and 6.5% had full delirium. Lower cognitive performance and increased depressive symptoms were significant predictors of higher NHCAM values independent of previous residence. Age, civil status, continence, newly introduced drugs, and basic activities of daily living were predictors in some resident groups. The variance of NHCAM scores explained varied between 25.1% and 32.3% depending on previous residence. Sub-syndromal and full delirium are common upon nursing home admission. Increased dependence and depression are consistently associated with higher NHCAM scores. Patients from psychiatric settings have an increased risk of delirium. Although factors associated with delirium depend on a patient's previous residence, all patients must be carefully screened for sub-syndromal and full delirium.

Delirium in acute stroke - prevalence and risk factors

Delirium is frequently seen as a major complication among elderly stroke patients. Few studies have prospectively studied delirium as a complication of acute stroke. In these studies, the results are conflicting regarding risk factors and estimated prevalence. The aims of the present study are to assess the prevalence of delirium in patients with acute stroke treated in an acute Stroke Unit, identify characteristics of patients with delirium and important factors associated with the development of delirium. We conducted a prospective study of patients with delirium and acute stroke consecutively admitted to a Stroke Unit. The diagnosis of delirium was based on Confusion Assessment Method (CAM). CAM is devised from DSM-III-R criteria based on the diagnosis of delirium, and is a simple test with high sensitivity and specificity. One hundred and seventy-eight patients with a diagnosis of stroke were eligible for the study. The prevalence of delirium in acute stroke in our study was 10% (18 of 178 patients). Patients with delirium had significantly longer length of stay in the Stroke Unit (12.3 vs 8.5 days, P < 0.004). Prestroke dementia [odds ratio (OR) 18.7], hemianopsia (OR 12.3), apraxia (OR 11.0), higher age (OR 5.5) and infection (UTI or pneumonia) (OR 4.9) during in-hospital stay were associated with increased risk of delirium. One of 10 stroke patients had delirium. This is the lowest prevalence of delirium shown in acute stroke patients. In our study, all patients were treated in a Stroke Unit. A Stroke Unit like the Scandinavian model may be beneficial in preventing delirium.

Prevalence rate of delirium at two hospitals in Western Australia

Objective: To estimate the prevalence of delirium in patients on 15 medical and surgical wards at two hospitals in Western Australia. Design: Following a review of the literature on delirium a standardised data collection tool was developed and four prevalence audits were conducted over a four week period at the target hospitals. The nurse coordinator on each ward was asked to identify any patient who was experiencing a delirium or who was confused. These patient’s records were then examined for documentation that confirmed the presence of delirium or confusion. Main outcome measures: The audit measured those patients with a confirmed documented delirium and identified patients who had a possible delirium superimposed on a confirmed or suspected dementia or unconfirmed organic brain disorder. Patients with a known dementia or organic brain disorder who displayed symptoms of confusion but had no evidence of delirium were also identified. Results: Of 1209 patients surveyed in four prevalence audits, 132 patients (10.9%) displayed behaviours suggestive of the presence of delirium; however only 48 of the 132 patients had a confirmed diagnosis of delirium. The remaining 84 patients displayed features of delirium that were superimposed on symptoms of dementia (diagnosed/undiagnosed) or an organic brain disorder. An additional 51 (4.2%) of the 1209 patients were identified with confusion resulting from other causes. Conclusions: Accurate assessment of delirium is particularly important in elderly people where behaviours associated with delirium are often assumed to be caused by dementia. This may result in delirium going undiagnosed and untreated.