Evidence map›Paper›PMID 39565511›Full record

ArticleInfectious diseases and therapy2025

Costs and Outcomes of Clostridioides difficile Infections in Germany: A Retrospective Health Claims Data Analysis.

Katharina Schley, Kirstin Heinrich, Jennifer C Moïsi, Dennis Häckl, Dominik Obermüller, Gordon Brestrich, Christof von Eiff, Thomas Weinke

Abstract read
In one paragraph

Article in Infectious diseases and therapy, 2025. 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

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Katharina SchleyPfizer Pharma GmbH, Friedrichstrasse 110, 10117, Berlin, Germany. katharina.schley@pfizer.com.ORCID http://orcid.org/0000-0002-0975-4154
Kirstin HeinrichPfizer Inc., Patient and Health Impact, New York, NY, 10017, USA.
Jennifer C MoïsiPfizer Vaccines, Medical Development and Scientific/Clinical Affairs, 23 Av du Dr Lannelongue, 75014, Paris, France.
Dennis HäcklWIG2 GmbH, Markt 8, 04109, Leipzig, Germany.
Dominik ObermüllerInGef-Institute for Applied Health Research Berlin GmbH, Otto-Ostrowski-Str. 5, 10249, Berlin, Germany.
Gordon BrestrichPfizer Pharma GmbH, Friedrichstrasse 110, 10117, Berlin, Germany.
Christof von EiffPfizer Pharma GmbH, Friedrichstrasse 110, 10117, Berlin, Germany.
Thomas WeinkeErnst Von Bergmann Klinikum, Charlottenstraße 72, 14467, Potsdam, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHealth claims data are a valuable resource for health services research, enabling analysis of the costs of hospitalizations, outpatient visits, procedures, and medications, and providing an improved understanding of the economic burden and underlying cost drivers for a given health condition. Since no recent data were available from Germany on the medical costs and clinical outcomes of Clostridioides difficile infections (CDI), this study assessed the economic burden of CDI and all-cause mortality in adults in Germany.

methodsA retrospective cohort study was conducted using a large, anonymized administrative health claims research database from Germany from which an age- and sex-representative sample of 4 million insured persons covered by approximately 60 statutory health insurances was extracted. Propensity score matching was conducted on age, sex, comorbidities, and antibiotic use to identify four matched controls (i.e., patients without CDI) for every eligible adult patient with CDI (i.e., case) in the study cohort. Costs, healthcare resource utilization, and CDI-attributable all-cause mortality were assessed.

resultsOverall, there were 15,342 CDI cases in the study cohort. One-year mortality in CDI cases (45.7%) was more than fourfold that of matched non-CDI controls (11.0%). In the year following the index date, average mortality-adjusted medical costs per person-time for CDI cases were almost fivefold that of matched non-CDI controls, representing a cost difference of €31,459, mainly driven by inpatient treatment. Overall excess costs for CDI cases were estimated at approximately €1.6 billion within 1 year after diagnosis.

conclusionsCDI in Germany is associated with a high clinical and economic burden, including significantly higher mortality, costs, and healthcare resource utilization, in patients with CDI versus their matched patients without CDI. This has important implications for patients, healthcare providers, and the healthcare system.

Indexed as

Claims dataClostridioides difficileEconomic burdenExcess costsHealth economicsMortalitySecondary data

Identifiers

PMID39565511
PMCPMC11782737

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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 OpenQuestion graph.