Retrospective Observational Multicenter Study on the Burden of Hospitalized Patients With Respiratory Tract Infection

July 2, 2026 updated by: LOGEX

Retrospective Observational Multicenter Study on the Burden, Resource Utilization, and Outcomes of Hospitalized Patients With Respiratory Tract Infections in Dutch Hospitals.

This multicenter retrospective real-world data study will evaluate the burden of respiratory tract infection (RTI)-related hospitalizations in up to 10 Dutch hospitals between 2018 and 2026.

The study aims to quantify:

  • Hospitalization rates
  • Healthcare resource utilization (LOS, ICU admissions, readmissions)
  • Clinical outcomes (including mortality)
  • Direct healthcare costs
  • Pathogen-specific burden (e.g., RSV, influenza, SARS-CoV-2) Using linked hospital, laboratory, and administrative data, outcomes will be analyzed by age group, comorbidities, pathogen, and respiratory season. The expected cohort size is approximately 60,000-70,000 patients.

The results will provide evidence to support Dutch public health policy, including RSV immunization strategies, healthcare capacity planning, and antimicrobial stewardship.

Study Overview

Status

Not yet recruiting

Detailed Description

Background Respiratory tract infections (RTIs) are among the leading causes of morbidity, mortality, and healthcare utilisation worldwide. A wide range of viral and bacterial pathogens contribute to the incidence and severity of RTIs, with influenza viruses, respiratory syncytial virus (RSV), and SARS-CoV-2 being among the most prominent agents. The epidemiology and clinical impact of these pathogens vary considerably by age group, comorbidity status, and season. In the Netherlands, comprehensive real-world data on the burden of RTI hospitalisations, stratified by pathogen, age group, and risk category, are limited. National surveillance figures (RIVM, Nivel) are based on sentinel networks and model-based extrapolations without direct hospital-level data on healthcare resource utilisation, ICU outcomes, or costs per pathogen. For RSV specifically, available burden estimates are largely derived from European models (ECDC ERVISS) with considerable uncertainty margins. Key policy decisions, including the potential expansion of the National Immunisation Programme (NIP) with RSV vaccination strategies (e.g. nirsevimab), are currently made without an empirical Dutch evidence base on RTI hospitalisation burden. This study directly addresses this evidence gap. Study Design Retrospective, observational, multicenter cohort study using routinely collected hospital data from up to 10 participating Dutch hospitals, comprising a mix of academic, large peripheral, and smaller peripheral centres. Observational period: 1 April 2018 to 31 July 2026. This period is fully closed prior to any data extraction. Data are extracted, pseudonymised, and linked within each participating hospital before transfer to the research team. No patient contact occurs and no new data are collected. Data sources: administrative claims data (Diagnose Behandel Combinatie, DBC), electronic prescribing data (add-on medications), and laboratory/microbiology databases. Study Population All patients (all ages, paediatric and adult) with at least one hospital encounter carrying a primary or secondary RTI ICD-10 diagnosis code (see protocol Appendix 1 for full code list) during the observational period. Patients who have formally objected to the use of their data for scientific research are excluded. Primary Research Question (PICO) In adult and paediatric patients hospitalised in Dutch hospitals with a respiratory tract infection (RTI) as primary or secondary ICD-10 diagnosis (April 2018 - July 2026): what is the burden of RSV-related hospitalisations - measured by incidence, length of stay, ICU admission rate, and in-hospital mortality - compared to influenza and SARS-CoV-2, stratified by age group and comorbidity class? Study Hypotheses H1: The burden of RSV-related hospitalisations (as measured by length of stay and ICU admission rates) differs significantly between paediatric and adult patients in Dutch hospitals. H2: Pathogen-specific RTI incidence varies significantly across annual seasonal cycles (April-March). H3: Microbiological testing rates show significant inter-hospital variation for comparable patient populations. Objectives Primary: To quantify the incidence, demographic distribution, and clinical outcomes (length of stay, ICU admission rate, ICU length of stay, in-hospital mortality) of patients hospitalised for RTIs - including RSV, influenza, SARS-CoV-2, and other viral or bacterial pathogens - across all ages and over multiple consecutive annual cycles (2018-2026). Secondary: (1) To measure healthcare resource utilisation (HCRU) during and 30 days post-discharge; (2) to characterise microbiological testing patterns across participating hospitals; (3) to quantify direct hospital costs per RTI-related hospitalisation. Statistical Analysis Descriptive statistics for all outcomes, stratified by pathogen, age group, comorbidity class, and annual seasonal cycle. Continuous variables summarised as mean (SD) or median (IQR); categorical variables as frequencies and percentages. Sensitivity analyses using alternative RTI case definitions and time windows. All analyses prespecified and conducted in R. Results reported only for strata with n≥5 to prevent identification of individual patients. Ethical and Legal Framework The study is reviewed by the Medical Ethics Committee Utrecht (MEC-U), registration number W26.018. Processing of pseudonymised health data is based on Article 9(2)(j) GDPR in conjunction with Article 24 UAVG (scientific research), Article 89(1) GDPR (appropriate safeguards), and Article 7:458 BW (WGBO). Individual informed consent is not obtained; patients retain the right to object via their treating hospital. The pseudonymisation key remains exclusively at the source institution and is not accessible to the research team. Results are reported in aggregate only (minimum group size n≥5). Dissemination Publication of results in peer-reviewed journals constitutes the primary and unconditional dissemination objective. Results will be submitted for publication irrespective of their direction or magnitude, in accordance with ICMJE authorship criteria. Initial results are anticipated by end of 2026, timed to inform the 2027 NIP evaluation cycle.

Study Type

Observational

Enrollment (Estimated)

70000

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patients of all ages (paediatric and adult) admitted to Dutch hospitals with a primary or secondary ICD-10 diagnosis of respiratory tract infection (RTI) during the period April 2018 through July 2026. Patients are identified through routinely collected administrative data (DBC) from up to 10 participating Dutch hospitals, representing a mix of academic, large peripheral, and smaller peripheral centres.

Description

Inclusion Criteria:

  • All patients with any care activity during a hospitalisation registered under any primary or secondary RTI ICD-10 code; hospital admission beginning within April 2018 - July 2026.

Exclusion Criteria:

  • Patients who have formally objected to the use of their hospital data for scientific research.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of RTI-related hospitalisations
Time Frame: April 2018 - July 2026
hospitalisation registered under any primary or secondary RTI ICD-10 code
April 2018 - July 2026

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
ICU admission rate
Time Frame: April 2018 - July 2026
ICU admissions under any primary or secondary RTI ICD-10 code per season
April 2018 - July 2026
ICU length of stay
Time Frame: April 2018 - July 2026
length measured in days per patient per season
April 2018 - July 2026
In-hospital all-cause mortality rate;
Time Frame: April 2018 - July 2026
April 2018 - July 2026

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Microbiological testing rate
Time Frame: April 2018 - July 2026
Number of hospitalised RTI patients with a microbiology test
April 2018 - July 2026
Healthcare resource utilization (HCRU) 30 days post-admission
Time Frame: April 2018 - July 2026
Number of outpatient clinics visits per patient until 30 days post RTI related discharge
April 2018 - July 2026
Direct healthcare costs per RTI-related hospitalisation
Time Frame: April 2018 - July 2026
April 2018 - July 2026
Pathogen-specific hospitalizations
Time Frame: April 2018 - July 2026
pathogen specific hospitalization rate (number of patients per year)
April 2018 - July 2026

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

August 1, 2026

Primary Completion (Estimated)

December 31, 2026

Study Completion (Estimated)

June 30, 2027

Study Registration Dates

First Submitted

June 26, 2026

First Submitted That Met QC Criteria

July 2, 2026

First Posted (Actual)

July 8, 2026

Study Record Updates

Last Update Posted (Actual)

July 8, 2026

Last Update Submitted That Met QC Criteria

July 2, 2026

Last Verified

July 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • W26.018

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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