The State of the Catatonia Literature: Employing Bibliometric Analysis of Articles From 1965-2020 to Identify Current Research Gaps

Diagnostic features of paediatric catatonia: multisite retrospective cohort study

BACKGROUND

Catatonia is a neuropsychiatric disorder characterised by psychomotor changes that can affect individuals across the lifespan. Although features of catatonia have been described in adults, the most common clinical symptoms among paediatric patients with catatonia are not well characterised.

AIMS

The goal of this study was to characterise the symptoms of catatonia demonstrated by paediatric patients, and to explore demographic and diagnostic factors associated with greater catatonia severity.

METHOD

We conducted a multicentre retrospective cohort study, from 1 January 2018 to 6 January 2023, of patients aged 18 and younger with a clinical diagnosis of catatonia and symptom assessment using the Bush Francis Catatonia Rating Scale (BFCRS).

RESULTS

A total of 143 patients met inclusion criteria. The median age was 15 (interquartile range: 13-16) years and 66 (46.2%) patients were female. Neurodevelopmental disabilities were present in 55 (38.5%) patients. Patients demonstrated a mean of 6.0 ± 2.1 signs of catatonia on the Bush Francis Catatonia Screening Item, with a mean BFCRS score of 15.0 ± 5.9. Among the 23 items of the BFCRS, six were present in >50% of patients (staring, mutism, immobility/stupor, withdrawal, posturing/catalepsy, rigidity), and four were present in <20% of cases (waxy flexibility, mitgehen, gegenhalten, grasp reflex). In an adjusted model, patients with neurodevelopmental disorders demonstrated greater BFCRS severity than those with other diagnoses.

CONCLUSIONS

Catatonia was diagnosed in a range of mental health conditions. Further research is needed to define optimal diagnostic criteria for catatonia in paediatric patients, and clarify the clinical course of the disorder.

Distribution and frequency of clinical criteria and rating scales for diagnosis and assessment of catatonia in different study types

BACKGROUND

A comprehensive assessment of catatonic symptoms is decisive for diagnosis, neuronal correlates, and evaluation of treatment response and prognosis of catatonia. Studies conducted so far used different cut-off criteria and clinical rating scales to assess catatonia. Therefore, the main aim of this study was to examine the frequency and distribution of diagnostic criteria and clinical rating scales for assessing catatonia that were used in scientific studies so far.

METHODS

We conducted a systematic review using PubMed searching for articles using catatonia rating scales/criteria published from January 1st 1952 (introduction of catatonic schizophrenia to first edition of the Diagnostic and Statistical Manual of Mental Disorders [DSM]) up to December 5th, 2022.

RESULTS

1928 articles were considered for analysis. 1762 (91,39 %) studies used one and 166 (8,61 %) used ≥2 definitions of catatonia. However, 979 (50,7 %) articles did not report any systematic assessment of catatonia. As for clinical criteria, DSM criteria were used by the majority of studies (n = 290; 14.0 %), followed by International Classification of Diseases (ICD) criteria (n = 61; 2.9 %). The Bush-Francis Catatonia Rating Scale (BFCRS) was found to be by far the most frequently utilized scale (n = 464; 22.4 % in the respective years), followed by Northoff Catatonia Rating Scale (NCRS) (n = 31; 1.5 % in the respective years).

CONCLUSION

DSM and ICD criteria as well as BFCRS and NCRS were most frequently utilized and can therefore be recommended as valid instruments for the assessment of catatonia symptomatology.

Exploring seasonality in catatonia diagnosis: Evidence from a large-scale population study

Catatonia is a severe psychomotor syndrome mainly associated with psychiatric disorders, such as mood disorders and schizophrenia. Seasonal patterns have been described for these psychiatric disorders, and a previous study conducted in South London showed for the first time a seasonal pattern in the onset of catatonia. In this study, we aim to extend those findings to a larger national sample of patients admitted to French metropolitan hospitals, between 2015 and 2022, and to perform subgroup analyses by the main associated psychiatric disorder. A total of 6225 patients diagnosed with catatonia were included. A seasonal pattern for catatonia diagnosis was described, using cosinor models. Two peaks of diagnoses for catatonic cases were described in March and around September-October. Depending on the associated psychiatric disorder, the seasonality of catatonia diagnosis differed. In patients suffering with mood disorders, peaks of catatonia diagnosis were found in March and July. For patients suffering with schizophrenia, no seasonal pattern was found.

Describing the features of catatonia: A comparative phenotypic analysis

BACKGROUND

Catatonia is widely under-detected, and the many differences across catatonia rating scales and diagnostic criteria could be a key reason why clinicians have a hard time knowing what catatonia looks like and what constitutes each of its features.

METHODS

This review begins by discussing the nature of catatonia diagnosis, its evolution in ICD and DSM, and different approaches to scoring. The central analysis then provides a descriptive survey of catatonia's individual signs across scales and diagnostic criteria. The goal of this survey is to characterize distinctions across scales and diagnostic criteria that can introduce variance into catatonia caseness.

RESULTS

Diagnostic criteria for catatonia in DSM-5-TR and ICD-11 are broadly aligned in terms of which items are included, item definitions and number of items required for diagnosis; however, the lack of item thresholds is a fundamental limitation. Many distinctions across scales and criteria could contribute to diagnostic discordance.

DISCUSSION

Clear, consistent definitions for catatonia features are essential for reliable detection. Of available scales, Bush-Francis and Northoff can be converted to diagnostic criteria with limited modification. Bush-Francis is the most efficient, with a screening instrument, videographic resources and standardized clinical assessment. Northoff offers the most detailed assessment and uniquely emphasizes emotional and volitional disturbances in catatonia.

CONCLUSIONS

The field's understanding of the catatonia phenotype has advanced considerably over the past few decades. However, this review reveals many important limitations in the ICD and DSM as well as differences across scales and criteria that stand in the way of reliable catatonia detection.

Diagnostic overshadowing clouding the efficient recognition of pediatric catatonia: a case series

Catatonia is a neuropsychiatric condition that causes disruption of movement, emotion, and behaviors. Children and adults with underlying psychiatric conditions are particularly susceptible to developing catatonia, which may result in medical and psychiatric complications. Although catatonia research has been growing at a rapid rate in the last 20 years, it continues to be met with inefficiencies in its diagnosis and incertitude in its treatment. In the pediatric population, catatonia is plagued by diagnostic overshadowing, where the catatonia is erroneously attributed to existing pathologies that lead to a prolonged disease state. This paper describes three pediatric patients with catatonia that fell victim to diagnostic overshadowing. More rigorous training and education are imperative to improve the efficient recognition and treatment of children with catatonia.

The role of the electroencephalogram (EEG) in determining the aetiology of catatonia: a systematic review and meta-analysis of diagnostic test accuracy

BACKGROUND

Catatonia is a psychomotor syndrome that has a wide range of aetiologies. Determining whether catatonia is due to a medical or psychiatric cause is important for directing treatment but is clinically challenging. We aimed to ascertain the performance of the electroencephalogram (EEG) in determining whether catatonia has a medical or psychiatric cause, conventionally defined.

METHODS

In this systematic review and meta-analysis of diagnostic test accuracy (PROSPERO CRD42021239027), Medline, EMBASE, PsycInfo, and AMED were searched from inception to May 11, 2022 for articles published in peer-reviewed journals that reported EEG findings in catatonia of a medical or psychiatric origin and were reported in English, French, or Italian. Eligible study types were clinical trials, cohort studies, case-control studies, cross-sectional studies, case series, and case reports. The reference standard was the final clinical diagnosis. Data extraction was conducted using individual patient-level data, where available, by two authors. We prespecified two types of studies to overcome the limitations anticipated in the data: larger studies (n ≥ 5), which were suitable for formal meta-analytic methods but generally lacked detailed information about participants, and smaller studies (n < 5), which were unsuitable for formal meta-analytic methods but had detailed individual patient level data, enabling additional sensitivity analyses. Risk of bias and applicability were assessed with the QUADAS-2 tool for larger studies, and with a published tool designed for case reports and series for smaller studies. The primary outcomes were sensitivity and specificity, which were derived using a bivariate mixed-effects regression model.

FINDINGS

355 studies were included, spanning 707 patients. Of the 12 larger studies (5 cohort studies and 7 case series), 308 patients were included with a mean age of 48.2 (SD = 8.9) years. 85 (52.8%) were reported as male and 99 had catatonia due to a general medical condition. In the larger studies, we found that an abnormal EEG predicted a medical cause of catatonia with a sensitivity of 0.82 (95% CI 0.67-0.91) and a specificity of 0.66 (95% CI 0.45-0.82) with an I ² of 74% (95% CI 42-100%). The area under the summary ROC curve offered excellent discrimination (AUC = 0.83). The positive likelihood ratio was 2.4 (95% CI 1.4-4.1) and the negative likelihood ratio was 0.28 (95% CI 0.15-0.51). Only 5 studies had low concerns in terms of risk of bias and applicability, but a sensitivity analysis limited to these studies was similar to the main analysis. Among the 343 smaller studies, 399 patients were included, resulting in a sensitivity of 0.76 (95% CI 0.71-0.81), specificity of 0.67 (0.57-0.76) and AUC = 0.71 (95% CI 0.67-0.76). In multiple sensitivity analyses, the results were robust to the exclusion of reports of studies and individuals considered at high risk of bias. Features of limbic encephalitis, epileptiform discharges, focal abnormality, or status epilepticus were highly specific to medical catatonia, but features of encephalopathy had only moderate specificity and occurred in 23% of the cases of psychiatric catatonia in smaller studies.

INTERPRETATION

In cases of diagnostic uncertainty, the EEG should be used alongside other investigations to ascertain whether the underlying cause of catatonia is medical. The main limitation of this review is the differing thresholds for considering an EEG abnormal between studies.

FUNDING

Wellcome Trust, NIHR Biomedical Research Centre at University College London Hospitals NHS Foundation Trust.