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Not yet recruitingNCT07883902NeuBluMulUpdated Oct 20, 2026

Expanded Diagnostic Strategy in Older Adults Hospitalized With Community-Acquired Acute Respiratory Infection

An interventional study of Expanded Diagnostic Strategy and Conventional Diagnostic Strategy in Acute Respiratory Infection, sponsored by Santiago Lopez Gil. Not yet recruiting at 1 site in Spain. Open to participants aged 65 Years and older. Per ClinicalTrials.gov, last updated 2026-10-20.

Sponsored by Santiago Lopez Gil · Not applicable, Interventional, and Treatment

Updated Oct 20, 2026Newly registeredGo to Updates ↓
Phase
Not applicable
Study type
Interventional
Enrollment
406
Allocation
Randomized
Ages
65 Years and older
Sex
All
01

Study summary

This study will evaluate whether an expanded diagnostic strategy can reduce antibiotic use in patients aged 65 years or older who are hospitalized with community-acquired acute respiratory infection, without negatively affecting clinical outcomes.

The expanded diagnostic strategy combines multiplex respiratory polymerase chain reaction (PCR), serial procalcitonin measurements, and bedside lung ultrasound. The results of these tests will be integrated to support decisions about antibiotic treatment.

The study will compare the expanded diagnostic strategy with conventional diagnostic management. The main outcome will be the total duration of antibiotic therapy. The study will also assess the use of high-impact antibiotics, microbiological diagnosis, hospital and intensive care unit stay, complications, mortality, recurrence of infection, hospital readmissions, detection of multidrug-resistant microorganisms, and antibiotic-related adverse events.

Read the detailed description

This is a pragmatic, controlled, open-label, cluster-randomized crossover trial conducted in two hospital wards at Hospital General Universitario de Elche, Spain. The study population will consist of patients aged 65 years or older hospitalized with community-acquired acute respiratory infection.

The two hospital wards will constitute the study clusters. During the first two-month study period, one ward will be randomly assigned to the expanded diagnostic strategy and the other to the conventional diagnostic strategy. After a two-month washout period, the ward-level strategies will be crossed over for a second two-month study period. Individual participants will receive only the diagnostic strategy assigned to their hospital ward during the corresponding study period.

The expanded diagnostic strategy will include multiplex respiratory PCR using the BIOFIRE Pneumonia Panel plus, including detection of selected antimicrobial resistance genes; bedside lung ultrasound using the BLUE protocol; and serial procalcitonin measurements. The results will be integrated into a predefined diagnostic and therapeutic algorithm to support decisions regarding antibiotic initiation, continuation, modification, de-escalation, and discontinuation.

Participants assigned to the conventional diagnostic strategy will receive usual diagnostic assessment and antimicrobial management. Etiological diagnostic tests will be performed according to routine clinical practice and at the discretion of the treating physician.

The primary objective is to determine whether the expanded diagnostic strategy reduces the total duration of antibiotic therapy compared with conventional diagnostic management. Secondary assessments will include high-impact antibiotic use, antibiotic escalation and de-escalation, microbiological diagnosis and time to diagnosis, detection of multidrug-resistant microorganisms, infectious complications, hospital and intensive care unit length of stay, intensive care unit admission, in-hospital and 30-day mortality, recurrence of infection requiring antimicrobial therapy, 30-day hospital readmission, and antibiotic-related adverse events.

An exploratory economic evaluation of the expanded diagnostic strategy is also planned from the perspective of the Spanish National Health System.

02

Conditions studied

  • Acute Respiratory Infection

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Keywords

  • Community-acquired respiratory infection
  • Older adults
  • Antimicrobial stewardship
  • Multiplex PCR
  • Procalcitonin
  • Lung ultrasound
  • Antibiotic therapy
  • Pneumonia
  • Antimicrobial resistance
  • Antibiotic optimization
03

In context

Pneumonia

2,072 studies on the registry are indexed under Pneumonia; 286 are open to participants now.

This study's planned enrollment of 406 is above the median of 107 across 1,263 interventional studies indexed under Pneumonia.

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Lead sponsor

This is the only study on the registry with Santiago Lopez Gil as lead sponsor.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
65 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Age ≥ 65 years.
  • Hospital admission to the Internal Medicine or Infectious Diseases ward for a community-acquired acute respiratory infection.
  • Acute respiratory infection defined by the presence of at least two of the following criteria, with at least one being a clinical criterion:
  • Clinical criteria: new-onset cough or worsening of pre-existing cough; purulent sputum production or changes in usual sputum characteristics; new-onset dyspnea or worsening of pre-existing dyspnea; pleuritic chest pain; abnormal respiratory sounds (crackles, rhonchi, or wheezing); fever (temperature ≥ 38°C) or hypothermia (temperature \< 36°C).
  • Laboratory criteria: leukocytosis (white blood cell count > 11,000/µL or neutrophil count > 8,200/µL) or C-reactive protein ≥ 20 mg/L.
  • Radiological criteria: new pulmonary infiltrate or worsening of a pre-existing pulmonary infiltrate on chest imaging.
  • No alternative diagnosis considered more likely to explain the clinical presentation, according to the treating physician.

Exclusion criteria

Exclusion Criteria:

  • Charlson Comorbidity Index ≥ 5.
  • Imminent death with a life expectancy \< 24 hours.
  • Admission to the intensive care unit (ICU) directly from the Emergency Department or within the first 24 hours after admission to the hospital ward.
  • Diagnosis of a solid-organ or hematologic malignancy with active oncologic treatment within the previous 3 months.
  • Immune-mediated disease treated with immunosuppressive or immunomodulatory drugs.
  • Transplant recipient.
  • Treatment with prednisone ≥ 20 mg/day (or equivalent) for ≥2 weeks.
  • Human immunodeficiency virus (HIV) infection with an absolute CD4 count \< 200 cells/µL.
  • Profound neutropenia (\< 100 cells/µL).
  • Refusal to participate in the study or concurrent participation in another study.
  • Previous inclusion in this study.
05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
406 participants (estimated)

Study arms

  • Experimental
    Expanded Diagnostic Strategy

    Participants receive an expanded diagnostic strategy in addition to conventional diagnostic assessment. The strategy includes multiplex respiratory PCR, bedside lung ultrasound, and serial procalcitonin measurements. Results are integrated into a predefined diagnostic and therapeutic algorithm to support decisions regarding antibiotic initiation, continuation, modification, de-escalation, and discontinuation.

    Diagnostic Test: Expanded Diagnostic Strategy

  • Active comparator
    Conventional Diagnostic Strategy

    Participants receive conventional diagnostic assessment and antimicrobial management according to usual clinical practice. Etiological diagnostic tests may be performed at the discretion of the treating physician.

    Diagnostic Test: Conventional Diagnostic Strategy

Interventions

  • Diagnostic testExpanded Diagnostic Strategy

    A protocolized diagnostic strategy combining multiplex respiratory PCR using the BIOFIRE Pneumonia Panel plus, bedside lung ultrasound using the BLUE protocol, and serial procalcitonin measurements. Diagnostic results are integrated into a predefined algorithm to support decisions regarding antibiotic initiation, continuation, modification, de-escalation, and discontinuation.

  • Diagnostic testConventional Diagnostic Strategy

    Conventional diagnostic assessment and antimicrobial management according to usual clinical practice. Etiological diagnostic tests are performed at the discretion of the treating physician.

06

What researchers measure

Primary outcomes

  1. Total Duration of Antibiotic Therapy

    Total antibiotic exposure, calculated as the sum of days of therapy for all antibiotics received for the index acute respiratory infection, including antibiotic therapy administered during hospitalization and antibiotic therapy prescribed at hospital discharge. Each antibiotic received on a given calendar day contributes one day of therapy; therefore, days of concomitant antibiotic therapy are counted separately for each antibiotic.

    Time frame: From hospital admission through 30 days after hospital discharge

Secondary outcomes

  1. Duration of High Impact Antibiotic Therapy

    Total exposure to high-impact antibiotics, calculated as the sum of days of therapy for all high-impact antibiotics received for the index acute respiratory infection. High-impact antibiotics are predefined as levofloxacin, moxifloxacin, piperacillin-tazobactam, ceftaroline, ceftobiprole, cefiderocol, cefepime, ceftazidime-avibactam, ceftolozane-tazobactam, carbapenems, vancomycin, and linezolid. Each antibiotic received on a given calendar day contributes one day of therapy; concomitant antibiotics are counted separately.

    Time frame: From hospital admission through 30 days after hospital discharge

  2. Antibiotic De-escalation

    Proportion of participants in whom antibiotic therapy is de-escalated during the index hospitalization or after discharge. Antibiotic de-escalation is defined as switching from a high-impact antibiotic to a low-impact antibiotic or discontinuing antibiotic therapy, according to the predefined classification in the study protocol.

    Time frame: From hospital admission through 30 days after hospital discharge

  3. Antibiotic Escalation

    Proportion of participants requiring escalation to high-impact antibiotic therapy for the index acute respiratory infection. Antibiotic escalation is defined as the need to change to an antibiotic classified as high-impact according to the predefined classification in the study protocol.

    Time frame: From hospital admission through 30 days after hospital discharge

  4. Pathogen Detection by Pneumonia Panel PCR

    Proportion of participants in whom at least one pathogen is detected by the multiplex pneumonia panel PCR performed on a respiratory sample.

    Time frame: Within the first 24 hours after hospital admission

  5. Time to Microbiological Diagnosis

    Time in hours from hospital admission to the availability of the microbiological result establishing the microbiological diagnosis.

    Time frame: From hospital admission to hospital discharge (assessed at 30 days after discharge)

  6. Detection of Multidrug-Resistant Microorganisms

    Proportion of participants in whom at least one multidrug-resistant microorganism is detected in any microbiological sample. Multidrug-resistant microorganisms are defined as methicillin-resistant Staphylococcus aureus (MRSA); Enterobacterales producing extended-spectrum beta-lactamases (ESBL), AmpC beta-lactamases, or carbapenemases; Pseudomonas aeruginosa resistant to at least one antibiotic in each of the following classes: penicillins, cephalosporins, carbapenems, fluoroquinolones, and aminoglycosides; carbapenem-resistant Acinetobacter baumannii; and Stenotrophomonas maltophilia.

    Time frame: From hospital admission through 30 days after hospital discharge

  7. Respiratory Infection-Related Complications

    Proportion of participants who develop at least one complication related to the index acute respiratory infection, including empyema, sepsis, lung abscess, acute respiratory distress syndrome, multiorgan failure, or venous thromboembolism.

    Time frame: From hospital admission through 30 days after hospital discharge

  8. Hospital Length of Stay

    Total number of days from hospital admission to hospital discharge.

    Time frame: From hospital admission to hospital discharge (assessed at 30 days after discharge)

  9. Intensive Care Unit Admission

    Proportion of participants requiring admission to the intensive care unit (ICU) during the index hospitalization.

    Time frame: From hospital admission to hospital discharge (assessed at 30 days after discharge)

  10. Intensive Care Unit Length of Stay

    Total number of days spent in the intensive care unit (ICU) during the index hospitalization among participants requiring ICU admission.

    Time frame: From hospital admission to hospital discharge (assessed at 30 days after discharge)

  11. In-Hospital Mortality

    Proportion of participants who die from any cause during the index hospitalization.

    Time frame: From hospital admission to hospital discharge (assessed at 30 days after discharge)

  12. 30-Day Mortality After Hospital Discharge

    Proportion of participants who die from any cause within 30 days after hospital discharge.

    Time frame: Within 30 days after hospital discharge

  13. Recurrence of Respiratory Infection Requiring Antibiotic Therapy

    Proportion of participants who develop a new episode of respiratory infection requiring a new course of antibiotic therapy during the index hospitalization or within 30 days after hospital discharge.

    Time frame: From hospital admission through 30 days after hospital discharge

  14. 30-Day Hospital Readmission

    Proportion of participants requiring hospital readmission for any cause within 30 days after hospital discharge.

    Time frame: Within 30 days after hospital discharge

  15. Antibiotic-Related Adverse Events

    Proportion of participants who experience at least one adverse event considered related to antibiotic therapy, including phlebitis and Clostridioides difficile infection.

    Time frame: From hospital admission through 30 days after hospital discharge

  16. Healthcare Costs

    Total direct healthcare costs associated with antimicrobial therapy and the diagnostic procedures included in the expanded diagnostic strategy. Costs will include antimicrobial therapy, serial procalcitonin measurements, bedside lung ultrasound, and multiplex pneumonia panel PCR testing.

    Time frame: From hospital admission through 30 days after hospital discharge

  17. Cramér's V Coefficient for Association Between Lung Ultrasound BLUE Profile and Microbiological Diagnostic Category

    The association between the presence or absence of a pneumonia-compatible lung ultrasound BLUE profile (ultrasound profile present/absent) and microbiological diagnostic category (bacterial, viral, mixed bacterial-viral, or no microbiological diagnosis) will be measured using Cramér's V coefficient. Lung ultrasound will be performed according to the BLUE protocol, and microbiological categories will be determined using tests performed during the index hospitalization. Cramér's V will be calculated from a 2 × 4 contingency table, yielding a single unitless numerical value ranging from 0 (no association) to 1 (maximum association). Participants with insufficient microbiological data will be excluded. Diagnostic category distributions according to ultrasound findings will also be reported descriptively.

    Time frame: During the index hospitalization, with final outcome assessment at 30 days after hospital discharge

  18. Cramér's V Coefficient for the Association Between PLAPS and Microbiological Diagnostic Category

    The association between the presence or absence of posterolateral alveolar and/or pleural syndrome (PLAPS) on lung ultrasound (PLAPS present/absent) and microbiological diagnostic category (bacterial, viral, mixed bacterial-viral, or no microbiological diagnosis) will be measured using Cramér's V coefficient. Lung ultrasound will be performed according to the BLUE protocol, and microbiological categories will be determined using tests performed during the index hospitalization. Cramér's V will be calculated from a 2 × 4 contingency table, yielding a single unitless numerical value ranging from 0 (no association) to 1 (maximum association). Participants with insufficient microbiological data will be excluded. Diagnostic category distributions according to ultrasound findings will also be reported descriptively.

    Time frame: During the index hospitalization, with final outcome assessment at 30 days after hospital discharge

  19. Cramér's V Coefficient for the Association Between B' Profile and Microbiological Diagnostic Category

    The association between the presence or absence of a B' lung ultrasound profile (B' profile present/absent) and microbiological diagnostic category (bacterial, viral, mixed bacterial-viral, or no microbiological diagnosis) will be measured using Cramér's V coefficient. Lung ultrasound will be performed according to the BLUE protocol, and microbiological categories will be determined using tests performed during the index hospitalization. Cramér's V will be calculated from a 2 × 4 contingency table, yielding a single unitless numerical value ranging from 0 (no association) to 1 (maximum association). Participants with insufficient microbiological data will be excluded. Diagnostic category distributions according to ultrasound findings will also be reported descriptively.

    Time frame: During the index hospitalization, with final outcome assessment at 30 days after hospital discharge

  20. Cramér's V Coefficient for the Association Between A/B Profile and Microbiological Diagnostic Category

    The association between the presence or absence of an A/B lung ultrasound profile (A/B profile present/absent) and microbiological diagnostic category (bacterial, viral, mixed bacterial-viral, or no microbiological diagnosis) will be measured using Cramér's V coefficient. Lung ultrasound will be performed according to the BLUE protocol, and microbiological categories will be determined using tests performed during the index hospitalization. Cramér's V will be calculated from a 2 × 4 contingency table, yielding a single unitless numerical value ranging from 0 (no association) to 1 (maximum association). Participants with insufficient microbiological data will be excluded. Diagnostic category distributions according to ultrasound findings will also be reported descriptively.

    Time frame: During the index hospitalization, with final outcome assessment at 30 days after hospital discharge

  21. Cramér's V Coefficient for the Association Between C Profile and Microbiological Diagnostic Category

    The association between the presence or absence of a C lung ultrasound profile (C profile present/absent) and microbiological diagnostic category (bacterial, viral, mixed bacterial-viral, or no microbiological diagnosis) will be measured using Cramér's V coefficient. Lung ultrasound will be performed according to the BLUE protocol, and microbiological categories will be determined using tests performed during the index hospitalization. Cramér's V will be calculated from a 2 × 4 contingency table, yielding a single unitless numerical value ranging from 0 (no association) to 1 (maximum association). Participants with insufficient microbiological data will be excluded. Diagnostic category distributions according to ultrasound findings will also be reported descriptively.

    Time frame: During the index hospitalization, with final outcome assessment at 30 days after hospital discharge

  22. Cramér's V Coefficient for the Association Between Pleural Effusion and Microbiological Diagnostic Category

    The association between the presence or absence of pleural effusion on lung ultrasound (pleural effusion present/absent) and microbiological diagnostic category (bacterial, viral, mixed bacterial-viral, or no microbiological diagnosis) will be measured using Cramér's V coefficient. Lung ultrasound will be performed according to the BLUE protocol, and microbiological categories will be determined using tests performed during the index hospitalization. Cramér's V will be calculated from a 2 × 4 contingency table, yielding a single unitless numerical value ranging from 0 (no association) to 1 (maximum association). Participants with insufficient microbiological data will be excluded. Diagnostic category distributions according to ultrasound findings will also be reported descriptively.

    Time frame: During the index hospitalization, with final outcome assessment at 30 days after hospital discharge

07

Study locations

1 site
  • Hospital General Universitario de Elche
    Elche, Alicante 03203, Spain
08

References and documents

Publications

  • Desai D, Shah AB, Dela JRC, Mugibel TA, Sumaily KM, Sabi EM, Mujamammi AH, Malafi ME, Alkaff SA, Alwahbi TA, Bahabara JO, Dahman LSB. Lung Ultrasonography Accuracy for Diagnosis of Adult Pneumonia: Systematic Review and Meta-Analysis. Adv Respir Med. 2024 Jun 4;92(3):241-253. doi: 10.3390/arm92030024. PubMed 38921063 ↗
  • Buchan BW, Windham S, Balada-Llasat JM, Leber A, Harrington A, Relich R, Murphy C, Dien Bard J, Naccache S, Ronen S, Hopp A, Mahmutoglu D, Faron ML, Ledeboer NA, Carroll A, Stone H, Akerele O, Everhart K, Bonwit A, Kwong C, Buckner R, Warren D, Fowler R, Chandrasekaran S, Huse H, Campeau S, Humphries R, Graue C, Huang A. Practical Comparison of the BioFire FilmArray Pneumonia Panel to Routine Diagnostic Methods and Potential Impact on Antimicrobial Stewardship in Adult Hospitalized Patients with Lower Respiratory Tract Infections. J Clin Microbiol. 2020 Jun 24;58(7):e00135-20. doi: 10.1128/JCM.00135-20. Print 2020 Jun 24. PubMed 32350045 ↗
  • Ito A, Ito I, Inoue D, Marumo S, Ueda T, Nakagawa H, Taki M, Nakagawa A, Tatsumi S, Nishimura T, Shiota T, Ishida T. The utility of serial procalcitonin measurements in addition to pneumonia severity scores in hospitalised community-acquired pneumonia: A multicentre, prospective study. Int J Infect Dis. 2020 Mar;92:228-233. doi: 10.1016/j.ijid.2020.01.018. Epub 2020 Jan 22. PubMed 31981766 ↗
  • Ye X, Xiao H, Chen B, Zhang S. Accuracy of Lung Ultrasonography versus Chest Radiography for the Diagnosis of Adult Community-Acquired Pneumonia: Review of the Literature and Meta-Analysis. PLoS One. 2015 Jun 24;10(6):e0130066. doi: 10.1371/journal.pone.0130066. eCollection 2015. PubMed 26107512 ↗
  • Poole S, Tanner AR, Naidu VV, Borca F, Phan H, Saeed K, Grocott MPW, Dushianthan A, Moyses H, Clark TW. Molecular point-of-care testing for lower respiratory tract pathogens improves safe antibiotic de-escalation in patients with pneumonia in the ICU: Results of a randomised controlled trial. J Infect. 2022 Dec;85(6):625-633. doi: 10.1016/j.jinf.2022.09.003. Epub 2022 Sep 9. PubMed 36096312 ↗
  • Moradi T, Bennett N, Shemanski S, Kennedy K, Schlachter A, Boyd S. Use of Procalcitonin and a Respiratory Polymerase Chain Reaction Panel to Reduce Antibiotic Use via an Electronic Medical Record Alert. Clin Infect Dis. 2020 Oct 23;71(7):1684-1689. doi: 10.1093/cid/ciz1042. PubMed 31637442 ↗
  • Abelenda-Alonso G, Calatayud L, Rombauts A, Meije Y, Oriol I, Sopena N, Padulles A, Niubo J, Duarte A, Llaberia J, Aranda J, Gudiol C, Satorra P, Tebe C, Ardanuy C, Carratala J. Multiplex real-time PCR in non-invasive respiratory samples to reduce antibiotic use in community-acquired pneumonia: a randomised trial. Nat Commun. 2024 Aug 17;15(1):7098. doi: 10.1038/s41467-024-51547-8. PubMed 39154071 ↗
  • Serigstad S, Knoop ST, Markussen DL, Ulvestad E, Bjorneklett RO, Ebbesen MH, Kommedal O, Grewal HMS. Diagnostic utility of oropharyngeal swabs as an alternative to lower respiratory tract samples for PCR-based syndromic testing in patients with community-acquired pneumonia. J Clin Microbiol. 2023 Sep 21;61(9):e0050523. doi: 10.1128/jcm.00505-23. Epub 2023 Aug 16. PubMed 37585220 ↗
  • Lichtenstein DA, Meziere GA. Relevance of lung ultrasound in the diagnosis of acute respiratory failure: the BLUE protocol. Chest. 2008 Jul;134(1):117-25. doi: 10.1378/chest.07-2800. Epub 2008 Apr 10. PubMed 18403664 ↗

Individual participant data

Plan to share: No — Individual participant data are not planned to be shared because a formal data-sharing plan has not been established for this study. Any future requests for data access would be evaluated in accordance with institutional policies, ethical requirements, and applicable data protection regulations.

09

Updates

1 registry update since Sep 25, 2026
Registered
First appeared on the registry. No changes since
Oct 20, 2026
Show all 1 update
  1. Oct 20, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07883902
Lead sponsor
Santiago Lopez Gil
Responsible party
Santiago Lopez Gil (Specialist Physician in Internal Medicine, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana) — Sponsor-investigator
First posted
Oct 20, 2026
Start date
Oct 2026 (estimated)
Primary completion
May 2027 (estimated)
Completion
May 2027 (estimated)
Last update
Oct 20, 2026

Study contacts

Santiago López Gil, MD
Contact
lopez_sangil@gva.es
+34 606 276 861
Félix Gutiérrez Rodero, MD, PhD
study chair · Hospital General Universitario de Elche / Universidad Miguel Hernández
Mar Masiá Canuto, MD, PhD
study chair · Hospital General Universitario de Elche / Universidad Miguel Hernández

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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