Niamh O'Regan

Delirium in an adult acute hospital population: predictors, prevalence and detection

Background To date, delirium prevalence and incidence in acute hospitals has been estimated from pooled findings of studies performed in distinct patient populations. Objective To determine delirium prevalence across an acute care facility. Design A point prevalence study. Setting A large tertiary care, teaching hospital. Patients 311 general hospital adult inpatients were assessed over a single day. Of those, 280 had full data collected within the studys time frame (90%). Measurements Initial screening for inattention was performed using the spatial span forwards and months backwards tests by junior medical staff, followed by two independent formal delirium assessments: first the Confusion Assessment Method (CAM) by trained geriatric medicine consultants and registrars, and, subsequently, the Delirium Rating Scale-Revised-98 (DRS-R98) by experienced psychiatrists. The diagnosis of delirium was ultimately made using DSM-IV (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition) criteria. Results Using DSM-IV criteria, 55 of 280 patients (19.6%) had delirium versus 17.6% using the CAM. Using the DRS-R98 total score for independent diagnosis, 20.7% had full delirium, and 8.6% had subsyndromal delirium. Prevalence was higher in older patients (4.7% if <50 years and 34.8% if >80 years) and particularly in those with prior dementia (OR=15.33, p<0.001), even when adjusted for potential confounders. Although 50.9% of delirious patients had pre-existing dementia, it was poorly documented in the medical notes. Delirium symptoms detected by medical notes, nurse interview and patient reports did not overlap much, with inattention noted by professional staff, and acute change and sleep-wake disturbance noted by patients. Conclusions Our point prevalence study confirms that delirium occurs in about 1/5 of general hospital inpatients and particularly in those with prior cognitive impairment. Recognition strategies may need to be tailored to the symptoms most noticed by the detector (patient, nurse or primary physician) if formal assessments are not available.

Dementia in older people admitted to hospital: a regional multi-hospital observational study of prevalence, associations and case recognition

Background: previous studies have indicated a prevalence of dementia in older admissions of ∼42% in a single London teaching hospital, and 21% in four Queensland hospitals. However, there is a lack of published data from any European country on the prevalence of dementia across hospitals and between patient groups. Objective: to determine the prevalence and associations of dementia in older patients admitted to acute hospitals in Ireland. Methods: six hundred and six patients aged ≥70 years were recruited on admission to six hospitals in Cork County. Screening consisted of Standardised Mini-Mental State Examination (SMMSE); patients with scores <27/30 had further assessment with the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). Final expert diagnosis was based on SMMSE, IQCODE and relevant medical and demographic history. Patients were screened for delirium and depression, and assessed for co-morbidity, functional ability and nutritional status. Results: of 598 older patients admitted to acute hospitals, 25% overall had dementia; with 29% in public hospitals. Prevalence varied between hospitals (P < 0.001); most common in rural hospitals and acute medical admissions. Only 35.6% of patients with dementia had a previous diagnosis. Patients with dementia were older and frailer, with higher co-morbidity, malnutrition and lower functional status (P < 0.001). Delirium was commonly superimposed on dementia (57%) on admission. Conclusion: dementia is common in older people admitted to acute hospitals, particularly in acute medical admissions, and rural hospitals, where services may be less available. Most dementia is not previously diagnosed, emphasising the necessity for cognitive assessment in older people on presentation to hospital.

Attention! A good bedside test for delirium?

Background Routine delirium screening could improve delirium detection, but it remains unclear as to which screening tool is most suitable. We tested the diagnostic accuracy of the following screening methods (either individually or in combination) in the detection of delirium: MOTYB (months of the year backwards); SSF (Spatial Span Forwards); evidence of subjective or objective ‘confusion’. Methods We performed a cross-sectional study of general hospital adult inpatients in a large tertiary referral hospital. Screening tests were performed by junior medical trainees. Subsequently, two independent formal delirium assessments were performed: first, the Confusion Assessment Method (CAM) followed by the Delirium Rating Scale-Revised 98 (DRS-R98). DSM-IV (Diagnostic and Statistical Manual of Mental Disorders, fourth edition) criteria were used to assign delirium diagnosis. Sensitivity and specificity ratios with 95% CIs were calculated for each screening method. Results 265 patients were included. The most precise screening method overall was achieved by simultaneously performing MOTYB and assessing for subjective/objective confusion (sensitivity 93.8%, 95% CI 82.8 to 98.6; specificity 84.7%, 95% CI 79.2 to 89.2). In older patients, MOTYB alone was most accurate, whereas in younger patients, a simultaneous combination of SSF (cut-off 4) with either MOTYB or assessment of subjective/objective confusion was best. In every case, addition of the CAM as a second-line screening step to improve specificity resulted in considerable loss in sensitivity. Conclusions Our results suggest that simple attention tests may be useful in delirium screening. MOTYB used alone was the most accurate screening test in older people.

What Do We Really Know About the Treatment of Delirium with Antipsychotics? Ten Key Issues for Delirium Pharmacotherapy

Despite the significant burden of delirium among hospitalized adults, no pharmacologic intervention is approved for delirium treatment. Antipsychotic agents are the best studied but there are uncertainties as to how these agents can be optimally applied in everyday practice. We searched Medline and PubMed databases for publications from 1980 to April 2012 to identify studies of delirium treatment with antipsychotic agents. Studies of primary prevention using pharmacotherapy were not included. We identified 28 prospective studies that met our inclusion criteria, of which 15 were comparison studies (11 randomized), 2 of which were placebo-controlled. The quality of comparison studies was assessed using the Jadad scale. The DRS (N = 12) and DRS-R98 (N = 9) were the most commonly used instruments for measuring responsiveness. These studies suggest that around 75% of delirious patients who receive short-term treatment with low-dose antipsychotics experience clinical response. Response rates appear quite consistent across different patient groups and treatment settings. Studies do not suggest significant differences in efficacy for haloperidol versus atypical agents, but report higher rates of extrapyramidal side effects with haloperidol. Comorbid dementia may be associated with reduced response rates but this requires further study. The available evidence does not indicate major differences in response rates between clinical subtypes of delirium. The extent to which therapeutic effects can be explained by alleviation of specific symptoms (e.g. sleep or behavioral disturbances) versus a syndromal effect that encompasses both cognitive and noncognitive symptoms of delirium is not known. Future research needs to explore the relationship between therapeutic effects and changes in pathophysiological markers of delirium. Less than half of reports were rated as reasonable quality evidence on the Jadad scale, highlighting the need for future studies of better quality design, and in particular incorporating placebo-controlled work.

Improving delirium care through early intervention: from bench to bedside to boardroom

Delirium is a complex neuropsychiatric syndrome that impacts adversely upon patient outcomes and healthcare outcomes. Delirium occurs in approximately one in five hospitalised patients and is especially common in the elderly and patients who are highly morbid and/or have pre-existing cognitive impairment. However, efforts to improve management of delirium are hindered by gaps in our knowledge and issues that reflect a disparity between existing knowledge and real-world practice. This review focuses on evidence that can assist in prevention, earlier detection and more timely and effective pharmacological and non-pharmacological management of emergent cases and their aftermath. It points towards a new approach to delirium care, encompassing laboratory and clinical aspects and health services realignment supported by health managers prioritising delirium on the healthcare change agenda. Key areas for future research and service organisation are outlined in a plan for improved delirium care across the range of healthcare settings and patient populations in which it occurs.

Development of an abbreviated version of the delirium motor subtyping scale (DMSS-4)

BACKGROUND Delirium is a common neuropsychiatric syndrome with considerable heterogeneity in clinical profile. Identification of clinical subtypes can allow for more targeted clinical and research efforts. We sought to develop a brief method for clinical subtyping in clinical and research settings. METHODS A multi-site database, including motor symptom assessments conducted in 487 patients from palliative care, adult and old age consultation-liaison psychiatry services was used to document motor activity disturbances as per the Delirium Motor Checklist (DMC). Latent class analysis (LCA) was used to identify the class structure underpinning DMC data and also items for a brief subtyping scale. The concordance of the abbreviated scale was then compared with the original Delirium Motor Subtype Scale (DMSS) in 375 patients having delirium as per the American Psychiatric Associations Diagnostic and Statistical Manual (4th edition) criteria. RESULTS Latent class analysis identified four classes that corresponded closely with the four recognized motor subtypes of delirium. Further, LCA of items (n = 15) that loaded >60% to the model identified four features that reliably identified the classes/subtypes, and these were combined as a brief motor subtyping scale (DMSS-4). There was good concordance for subtype attribution between the original DMSS and the DMSS-4 (κ = 0.63). CONCLUSIONS The DMSS-4 allows for rapid assessment of clinical subtypes in delirium and has high concordance with the longer and well-validated DMSS. More consistent clinical subtyping in delirium can facilitate better delirium management and more focused research effort.

Concordance between the delirium motor subtyping scale (DMSS) and the abbreviated version (DMSS-4) over longitudinal assessment in elderly medical inpatients.

BACKGROUND Delirium is a common neuropsychiatric syndrome that includes clinical subtypes identified by the Delirium Motor Subtyping Scale (DMSS). We explored the concordance between the DMSS and an abbreviated 4-item version in elderly medical inpatients. METHODS Elderly general medical admissions (n = 145) were assessed for delirium using the Revised Delirium Rating scale (DRS-R98). Clinical subtype was assessed with the DMSS (which includes the four items included in the DMSS-4). Motor subtypes were generated for all patient assessments using both versions of the scale. The concordance of the original and abbreviated DMSS was examined. RESULTS The agreement between the DMSS and DMSS-4 was high, both at initial and subsequent assessments (κ range 0.75-0.91). Intraclass Correlation Coefficient (ICC) for all three raters for the DMSS was high (0.70) and for DMSS-4 was moderate (0.59). Analysis of the agreement between raters for individual DMSS items found higher concordance in respect of hypoactive features compared to hyperactive. CONCLUSIONS The DMSS-4 allows for rapid assessment of clinical subtype in delirium and has high concordance with the longer and well-validated DMSS, including over longitudinal assessment. There is good inter-rater reliability between medical and nursing staff. More consistent clinical subtyping can facilitate better delirium management and more focused research effort.

Patterns of psychotropic prescribing and polypharmacy in older hospitalized patients in Ireland: the influence of dementia on prescribing.

BACKGROUND Neuropsychiatric Symptoms (NPS) are ubiquitous in dementia and are often treated pharmacologically. The objectives of this study were to describe the use of psychotropic, anti-cholinergic, and deliriogenic medications and to identify the prevalence of polypharmacy and psychotropic polypharmacy, among older hospitalized patients in Ireland, with and without dementia. METHODS All older patients (≥ 70 years old) that had elective or emergency admissions to six Irish study hospitals were eligible for inclusion in a longitudinal observational study. Of 676 eligible patients, 598 patients were recruited and diagnosed as having dementia, or not, by medical experts. These 598 patients were assessed for delirium, medication use, co-morbidity, functional ability, and nutritional status. We conducted a retrospective cross-sectional analysis of medication data on admission for 583/598 patients with complete medication data, and controlled for age, sex, and co-morbidity. RESULTS Of 149 patients diagnosed with dementia, only 53 had a previous diagnosis. At hospital admission, 458/583 patients experienced polypharmacy (≥ 5 medications). People with dementia (PwD) were significantly more likely to be prescribed at least one psychotropic medication than patients without dementia (99/147 vs. 182/436; p < 0.001). PwD were also more likely to experience psychotropic polypharmacy (≥ two psychotropics) than those without dementia (54/147 vs. 61/436; p < 0.001). There were no significant differences in the prescribing patterns of anti-cholinergics (23/147 vs. 42/436; p = 0.18) or deliriogenics (79/147 vs. 235/436; p = 0.62). CONCLUSIONS Polypharmacy and psychotropic drug use is highly prevalent in older Irish hospitalized patients, especially in PwD. Hospital admission presents an ideal time for medication reviews in PwD.

Sleep-wake cycle disturbances in elderly acute general medical inpatients: Longitudinal relationship to delirium and dementia

Sleep disturbances in elderly medical inpatients are common, but their relationship to delirium and dementia has not been studied.

Hospital discharge data-sets grossly under-represent dementia-related activity in acute hospitals: a cohort study in five Irish acute hospitals

Many countries use national hospital discharge data to analyse hospital activity in relation to certain diseases or populations. The Hospital In-Patient Enquiry (HIPE) system is Ireland’s current method for collecting information on in-patients discharged from acute hospitals, performed by trained administrative staff, using information documented in the medical case notes (Health Information and Quality Authority, 2014). It provides data on large numbers of patients at low cost, facilitates identification of secular trends and allows comparisons between hospitals/regions/countries. Like all routinely generated data, it is vulnerable to poor documentation. Clarke et al. (2010) have suggested that clinicians need to be involved in the discharge diagnosis coding process. Others stress that the discrepancies within the system are unacceptable when these data are used for assessing discharges, making comparisons with other countries and for determining funding allocation by the government (O’Callaghan et al., 2012). HIPE data have been used to estimate hospital dementiarelated activity in Ireland on several occasions (Connolly et al., 2014), and similar hospital episode statistics for dementia have been used in many countries. However, we had concerns about the effects of under-diagnosis and under-recording of dementia in such national hospital discharge data-sets and took the opportunity to test the accuracy of HIPE coding in a cohort study of dementia in older people admitted to hospital.