Evidence mapPaperPMID 42337702Full record

ArticleBMC geriatrics2026

Delirium care in crisis: a retrospective analysis of reduced hospitalizations during the COVID-19 pandemic in Germany.

Nils Diogo Nellessen, Mohamad Samehni, Sven Hohenstein, Andreas Bollmann, Julius Dengler, Frederick Palm, Juraj Kukolja

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Article in BMC geriatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Nils Diogo NellessenFaculty of Health, Witten/Herdecke University, Witten, Germany. nils.nellessen@stiftung-tannenhof.de.
Mohamad SamehniDepartment of Neurology and Clinical Neurophysiology, Helios University Hospital Wuppertal, Wuppertal, Germany.
Sven HohensteinClinical Trial Management & Real World Data, Helios Health Institute, Leipzig, Germany.
Andreas BollmannClinical Trial Management & Real World Data, Helios Health Institute, Leipzig, Germany.
Julius DenglerFaculty of Health Sciences Brandenburg, Brandenburg Medical School, Theodor Fontane, Campus Bad Saarow, Bad Saarow, Germany.
Frederick PalmDepartment of Neurology, Helios Hospital Schleswig, Schleswig, Germany.
Juraj KukoljaFaculty of Health, Witten/Herdecke University, Witten, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has caused profound shifts in healthcare utilization. Little is known about how this crisis affected the vulnerable group of patients with delirium on a system level. The goals of this study where to examine whether this crisis: (1) altered the number of inpatient admissions for delirium, (2) altered the number of hospital-based outpatient admissions for delirium, (3) affected disease burden, all-cause in-hospital mortality or length of stay for inpatient delirium cases. MATERIALS AND

methodsWe retrospectively analysed routine and health claim data from 7,720 admissions for delirium from 86 German hospitals and compared pandemic and pre-pandemic data. We included all cases with the main discharge diagnosis from the International Classification of Disease-10 (ICD-10): "F05 Delirium, not induced by alcohol and other psychoactive substances" from 2019 to 2022. The mean age was 80.9 years in the pandemic period and 80.7 years in the pre-pandemic period. Admission rates, length of stay, disease burden (case mix, comorbidities) and complications (i.e., intensive care admission, all-cause in-hospital mortality) were assessed via (generalized) mixed models.

resultsWe observed a 20% decrease in inpatient admissions for delirium during the pandemic (p < 0.001). This reduction was not offset by hospital-based outpatient care. Case mix index values, individual secondary diagnoses and complications were unchanged or reduced during specific pandemic periods. Moreover, time all-cause in-hospital mortality remained unchanged. The proportion of elective admissions decreased from 18% to 12% (p < 0.001). The Length of hospital stay remained unchanged.

conclusionsThe COVID-19 pandemic was associated with a marked reduction in inpatient admissions for delirium, which was not offset by hospital-based outpatient care. Changes in admission patterns and disease burden indicators suggest altered thresholds and pathways for admissions for delirium during the pandemic. These findings point to potential gaps in access to inpatient delirium care during the pandemic. Such real-world evidence is essential for improving healthcare for vulnerable groups, such as those with delirium.

Indexed as

COVID-19DeliriumHospitalizationAgedAged, 80 and overFemaleGermanyHospital MortalityHumansLength of StayMalePandemicsRetrospective StudiesAvailability of health servicesClinical epidemiologyCOVID-19DeliriumDiagnosis-related groupsGeriatricsInpatientsOutpatientsPandemic

Identifiers

PMID42337702
PMCPMC13309945

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.