Misidentification of mental health symptoms in presence of organic diseases and delirium during psychiatric liaison consulting

[The elderly with a psychiatric prognosis in the emergency room]

In the emergency department, the diagnosis of an acute psychiatric condition in an elderly patient should only be made after rigorous clinical and paraclinical examinations to rule out any somatic pathology. In addition, the management and treatment of acute agitation must be adapted.

Recommandations de pratique clinique sur la prise en charge du patient adulte à présentation psychiatrique dans les structures d’urgences

De nombreux patients consultant aux urgences souffrent de pathologies psychiatriques préexistantes ou ont une symptomatologie évocatrice d’une pathologie psychiatrique. En effet, les troubles psychiatriques touchent un adulte sur quatre, et 75%des affections psychiatriques débutent avant l’âge de 25 ans. Le parcours de soins d’un patient adulte à présentation psychiatrique dans les structures d’urgences concerne de multiples intervenants. La complexité inhérente à ces patients complexes ainsi qu’à l’interdisciplinarité induite dans la prise en charge impose un cadre de prise en charge clair et consensuel. Des experts de la psychiatrie, de la gérontopsychiatrie et de la médecine d’urgence se sont réunis pour émettre ces recommandations de bonnes pratiques. Le choix de présenter des recommandations de bonnes pratiques et non des recommandations formalisées d’experts a été fait devant l’insuffisance de littérature de fort niveau de preuve dans certaines thématiques et de l’existence de controverses. À travers ces recommandations de bonnes pratiques cliniques, ils se sont attachés à décrire la prise en charge de ses patients aussi bien en préqu’en intrahospitalier. Les objectifs de ces recommandations sont de présenter les éléments indispensables à l’organisation du parcours de soins de ces patients, la gestion de l’agitation ainsi que la prise en charge pharmacologique ou non. Une partie spécifique est consacrée aux aspects réglementaires.

Accuracy of initial psychiatric diagnoses given by nonpsychiatric physicians: A retrospective chart review

Despite the increased morbidity and mortality associated with psychiatric illnesses, there remains a substantial level of inaccuracy of the initial psychiatric diagnoses given by nonpsychiatric physicians. This study examines the accuracy of initial psychiatric diagnoses by non-psychiatric physicians at the McGill University Health Center (MUHC).We conducted a retrospective chart review for all consultations requested from the consultation-liaison psychiatry service at MUHC. We included all the consultations from January 1, 2018, to December 30, 2018, and excluded patient data with established psychiatric diagnoses. In all requested consults, each diagnosis of a referring physician was compared with the final diagnosis given by the C-L psychiatry team. Conformity between the 2 was validated as accurate.Of the 980 referred inpatients, 875 were enrolled. Patients ranged in age and those older than 70 years constituted the largest group: 54.4% were male. For 467 patients (55.20%), the initial diagnostic impression given by the referring physicians agreed with the final diagnosis made by the C-L psychiatry team, while in 379 patients (44.80%), the initial diagnostic impression was not consistent with the final diagnosis made by the C-L team.Diagnostic impressions of neurocognitive and substance use disorders were highly accurate, but this was not the case when the referring physicians suspected depression or bipolar, personality, or psychotic disorders. This study shows that around half of the referrals were accurately diagnosed, which evinces that nonpsychiatric physicians' knowledge regarding psychiatric conditions is not optimal and that might negatively impact screening and treating these conditions.

Delirium misdiagnosis risk in psychiatry: a machine learning-logistic regression predictive algorithm

BACKGROUND

Delirium is a frequent diagnosis made by Consultation-Liaison Psychiatry (CLP). Numerous studies have demonstrated misdiagnosis prior to referral to CLP. Few studies have considered the factors underlying misdiagnosis using multivariate approaches.

OBJECTIVES

To determine the number of cases referred to CLP, which are misdiagnosed at time of referral, to build an accurate predictive classifier algorithm, using input variables related to delirium misdiagnosis.

METHOD

A retrospective observational study was conducted at Alfred Hospital in Melbourne, collecting data from a record of all patients seen by CLP for a period of 5 months. Data was collected pertaining to putative factors underlying misdiagnosis. A Machine Learning-Logistic Regression classifier model was built, to classify cases of accurate delirium diagnosis vs. misdiagnosis.

RESULTS

Thirty five of 74 new cases referred were misdiagnosed. The proposed predictive algorithm achieved a mean Receiver Operating Characteristic (ROC) Area under the curve (AUC) of 79%, an average 72% classification accuracy, 77% sensitivity and 67% specificity.

CONCLUSIONS

Delirium is commonly misdiagnosed in hospital settings. Our findings support the potential application of Machine Leaning-logistic predictive classifier in health care settings.

Misidentification of Acute Psychiatric Symptoms in the Emergency Room: Clinical Experience in China

Introduction: Patients who come to the emergency department because of acute psychiatric symptoms are often not admitted to the correct department timely. The purpose of this study is to identify the clinical characteristics of patients with acute psychiatric symptoms in order to achieve early and correct triage in the emergency room. Methodology: We conducted a cross-analysis of inpatients who first came to the emergency department with acute psychiatric symptoms and then admitted to the department of neurology or psychiatry between years 2012 and 2018. Among them, 70 patients were rediagnosed and retransferred, with 38 patients to the department of neurology and 32 patients to the department of psychiatry. The clinical characteristics, laboratory examination, and Neuropsychiatric Inventory (NPI) were analyzed. Results: Patients who were rediagnosed with neurological diseases were more prone to have somatic symptoms (headache, dizziness) (P < 0.05). Because of the atypical early clinical manifestations in the emergency room, fever and positive neurological signs do not necessarily represent the diagnosis of neurological diseases. On the other hand, the absence of these manifestations does not guarantee the diagnosis of psychiatric illness. According to NPI, abnormal behaviors, changes in appetite, and sleep disturbances were more obvious in patients with neurological diseases (P < 0.05), whereas patients with psychiatric disorders often showed prominent irritability (P < 0.05). Conclusions: Acute psychiatric symptoms are usually complex and diverse. The triage and diagnosisshould be based on multiple factors. After triage, clinical symptoms should be dynamically observed.