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CompletedNCT06839963K-LUSUpdated Aug 24, 2025

Kinshasa Lung Ultrasound Approach Validation

An observational study in Respiratory Disease and Children, Only, sponsored by University of Oxford. Completed at 3 sites in 3 countries. Open to participants aged 3 Months to 14 Years. Per ClinicalTrials.gov, last updated 2025-08-24.

Sponsored by University of Oxford · Observational

Study type
Observational
Model
Other
Time perspective
Prospective
Enrollment
178
Ages
3 Months to 14 Years
Sex
All
01

Study summary

Study team will perform a prospective, observational study in two sites in the Democratic Republic of Congo (DRC) and Bangladesh in children aged 3 months to 14 years, admitted to hospital with acute respiratory symptoms. The Kinshasa lung ultrasound (K-LUS) approach integrates existing WHO clinical guidelines, lung ultrasound diagnostic accuracy evidence and paediatric ultrasound guidelines. The approach was built using a modified Delphi technique and integrates six LUS profiles, two clinical history features (timing of onset, trauma) and one clinical examination feature (fever) to suggest one among 10 clinical diagnosis. After the initial diagnosis is established by the treating physician, a research assistant will perform a LUS examination and apply the K-LUS approach. Comparison between the K-LUS derived diagnosis and the clinical diagnosis will be performed. After patient discharge a panel will also establish the most likely diagnosis according to all information available during patient stay.

This study is funded by the Wellcome Trust (ITPA grant) ref: WT-ITPA 2021/001

Read the detailed description

Acute respiratory distress represents one of the main reasons for hospital admission in low and middle income countries. Prompt and accurate diagnosis of the underlying pathological process is crucial to guide appropriate management. Lung Ultrasound (LUS) is an innovative, non-invasive, low-cost, point-of-care tool with high diagnostic accuracy for acute pulmonary diseases. It is a superior alternative to chest radiography (CXR), which is costly and seldom available in low-resource hospitals. To date, we lack a validated LUS-enhanced paediatric diagnostic approach specifically designed for low-resource settings. The primary objective is to test whether a paediatric diagnostic algorithm integrating key elements of patient history, the presence of fever and a systematic bedside LUS examination, changes the admission diagnosis. We also seek to describe the frequency of predefined suspected diagnoses observed and semiquantify pulmonary aeration in children admitted with respiratory symptoms. We will perform a prospective, two-center observational study in the Democratic Republic of Congo (DRC) and Bangladesh in children aged 3 months to 14 years, admitted to hospital with acute respiratory symptoms and signs. The 'Kinshasa lung ultrasound' diagnostic approach (K-LUS) was developed by a group of paediatric clinical and imaging experts based on existing WHO clinical guidelines, published LUS evidence-based frameworks, primary LUS literature on single pathologies and existing paediatric point of care ultrasound guidelines. After the initial diagnosis is established by the treating physician, a research assistant will perform a LUS examination and apply the K-LUS approach, to observe whether there is a change in the initial diagnosis. This is a purely observational study and no intervention will be applied, neither will the patient treatment be changed in relation to the study. The integration of LUS in the diagnostic approach of the critically ill paediatric patient has the potential of improving outcomes and appropriateness of care. It could provide earlier and low-cost diagnosis in both district and referral hospitals, with a potential expansion to peripheral healthcare facilities and integration in existing integrated management of childhood illness (IMCI) guidelines. Such an approach would also help allocate scarce resources by limiting second line radiological imaging techniques only to patients in need.

02

Conditions studied

  • Respiratory Disease
  • Children, Only

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Keywords

  • acute respiratory symptoms
  • children
03

In context

Respiration Disorders

359 studies on the registry are indexed under Respiration Disorders; 64 are open to participants now.

This study's enrollment of 178 is below the median of 250 across 134 observational studies indexed under Respiration Disorders.

Browse Respiration Disorders studies →

Lead sponsor

University of Oxford is the lead sponsor of 812 studies on the registry; 119 are open to participants now.

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

04

Who can participate

Ages eligible
3 Months to 14 Years
Sexes eligible
All
Sampling method
Non-probability sample

Study population

Infants and children aged 3 months old to 14 years old presenting with cough or difficulty in breathing.

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

  • Children aged between 3 months and 14 years;
  • Admitted to the emergency department or ward with cough or difficulty in breathing;

Exclusion criteria

Exclusion Criteria:

  • Expected short stay in the emergency department (\< 6h)
  • Emergency transfer to other facilities
  • Refusal of by attending parent or caregiver, as appropriate
  • Lung ultrasound not feasible (e.g. non-availability of a trained physician)
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Observational model
Other
Time perspective
Prospective
Enrollment
178 participants (actual)
Patient registry
No
06

What researchers measure

Primary outcomes

  1. The percentage of diagnostic changes

    The percentage of diagnostic changes prompted by the K-LUS approach compared with the initial clinical diagnosis given by the treating physician.

    Time frame: Immediately after the procedure (K-LUS diagnosis)

Secondary outcomes

  1. Percentage agreement for 10 prespecified WHO clinical diagnoses

    Percentage agreement for 10 prespecified WHO clinical diagnoses, namely (i) Asthma; (ii) Malaria; (iii) Anaemia/metabolic; (iv) Pneumothorax; (v) Congestive heart failure; (vi) Bronchiolitis; (vii) Pulmonary tuberculosis; (viii) Pneumonia; (ix) Pleural effusion (simple or empyema); (x) Haemothorax.

    Time frame: Immediately after the procedure (K-LUS diagnosis)

Other outcomes

  1. The net reclassification index

    The net reclassification index for parenchymal versus non-parencymal diagnosis prompted by the K-LUS protocol compared with the final diagnosis given by a panel after discharge.

    Time frame: Immediately after the procedure (K-LUS diagnosis)

  2. Lung ultrasound score

    An ultrasound clip from each individual zone will be saved to the machine for assessment and scoring and quality control purposes. All lung regions will be scored using the LUS aeration score(11,23). * 'A-pattern' defined as horizontal repetitions of the pleural line (A-lines) and scored as '0'. * 'B-patterns' scored as '1' when more than two well-spaced B-lines are present that cover less than 50% of the pleural line, or as '2' when B-lines cover more than 50% of the pleural line. * 'Consolidation-pattern' will be defined as an anatomical image of consolidation \>1 cm in diameter and that will be scored as '3'.

    Time frame: One time as early as possible after the initial clinical diagnosis (maximum 12 hours after the initial clinical diagnosis)

07

Study locations

3 sites
  • Chittagong Medical College Hospital
    Chittagong, 4203, Bangladesh
  • Kinshasa School of Public Health, University of Kinshasa
    Kinshasa, 11850, Democratic Republic of the Congo
  • Pujehun Govt Hospital Medical
    Pujehun, Sierra Leone
08

References and documents

Publications

  • Pocket Book of Hospital Care for Children: Guidelines for the Management of Common Childhood Illnesses. 2nd edition. Geneva: World Health Organization; 2013. Available from http://www.ncbi.nlm.nih.gov/books/NBK154447/ PubMed 24006557 ↗
  • Khemani RG, Smith LS, Zimmerman JJ, Erickson S; Pediatric Acute Lung Injury Consensus Conference Group. Pediatric acute respiratory distress syndrome: definition, incidence, and epidemiology: proceedings from the Pediatric Acute Lung Injury Consensus Conference. Pediatr Crit Care Med. 2015 Jun;16(5 Suppl 1):S23-40. doi: 10.1097/PCC.0000000000000432. PubMed 26035358 ↗
  • Parvathaneni K, Belani S, Leung D, Newth CJ, Khemani RG. Evaluating the Performance of the Pediatric Acute Lung Injury Consensus Conference Definition of Acute Respiratory Distress Syndrome. Pediatr Crit Care Med. 2017 Jan;18(1):17-25. doi: 10.1097/PCC.0000000000000945. PubMed 27673384 ↗
  • Ord HL, Griksaitis MJ. Fifteen-minute consultation: Using point of care ultrasound to assess children with respiratory failure. Arch Dis Child Educ Pract Ed. 2019 Feb;104(1):2-10. doi: 10.1136/archdischild-2017-313795. Epub 2018 May 25. PubMed 29802097 ↗
  • Volpicelli G, Elbarbary M, Blaivas M, Lichtenstein DA, Mathis G, Kirkpatrick AW, Melniker L, Gargani L, Noble VE, Via G, Dean A, Tsung JW, Soldati G, Copetti R, Bouhemad B, Reissig A, Agricola E, Rouby JJ, Arbelot C, Liteplo A, Sargsyan A, Silva F, Hoppmann R, Breitkreutz R, Seibel A, Neri L, Storti E, Petrovic T; International Liaison Committee on Lung Ultrasound (ILC-LUS) for International Consensus Conference on Lung Ultrasound (ICC-LUS). International evidence-based recommendations for point-of-care lung ultrasound. Intensive Care Med. 2012 Apr;38(4):577-91. doi: 10.1007/s00134-012-2513-4. Epub 2012 Mar 6. PubMed 22392031 ↗
  • Singh Y, Tissot C, Fraga MV, Yousef N, Cortes RG, Lopez J, Sanchez-de-Toledo J, Brierley J, Colunga JM, Raffaj D, Da Cruz E, Durand P, Kenderessy P, Lang HJ, Nishisaki A, Kneyber MC, Tissieres P, Conlon TW, De Luca D. International evidence-based guidelines on Point of Care Ultrasound (POCUS) for critically ill neonates and children issued by the POCUS Working Group of the European Society of Paediatric and Neonatal Intensive Care (ESPNIC). Crit Care. 2020 Feb 24;24(1):65. doi: 10.1186/s13054-020-2787-9. PubMed 32093763 ↗
  • 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 ↗
  • Marin JR, Abo AM, Arroyo AC, Doniger SJ, Fischer JW, Rempell R, Gary B, Holmes JF, Kessler DO, Lam SH, Levine MC, Levy JA, Murray A, Ng L, Noble VE, Ramirez-Schrempp D, Riley DC, Saul T, Shah V, Sivitz AB, Tay ET, Teng D, Chaudoin L, Tsung JW, Vieira RL, Vitberg YM, Lewiss RE. Pediatric emergency medicine point-of-care ultrasound: summary of the evidence. Crit Ultrasound J. 2016 Dec;8(1):16. doi: 10.1186/s13089-016-0049-5. Epub 2016 Nov 3. PubMed 27812885 ↗
  • Pereda MA, Chavez MA, Hooper-Miele CC, Gilman RH, Steinhoff MC, Ellington LE, Gross M, Price C, Tielsch JM, Checkley W. Lung ultrasound for the diagnosis of pneumonia in children: a meta-analysis. Pediatrics. 2015 Apr;135(4):714-22. doi: 10.1542/peds.2014-2833. Epub 2015 Mar 16. PubMed 25780071 ↗
  • Ho MC, Ker CR, Hsu JH, Wu JR, Dai ZK, Chen IC. Usefulness of lung ultrasound in the diagnosis of community-acquired pneumonia in children. Pediatr Neonatol. 2015 Feb;56(1):40-5. doi: 10.1016/j.pedneo.2014.03.007. Epub 2014 Jul 15. PubMed 25034957 ↗
  • Riviello ED, Kiviri W, Twagirumugabe T, Mueller A, Banner-Goodspeed VM, Officer L, Novack V, Mutumwinka M, Talmor DS, Fowler RA. Hospital Incidence and Outcomes of the Acute Respiratory Distress Syndrome Using the Kigali Modification of the Berlin Definition. Am J Respir Crit Care Med. 2016 Jan 1;193(1):52-9. doi: 10.1164/rccm.201503-0584OC. PubMed 26352116 ↗
  • Agricola E, Bove T, Oppizzi M, Marino G, Zangrillo A, Margonato A, Picano E. "Ultrasound comet-tail images": a marker of pulmonary edema: a comparative study with wedge pressure and extravascular lung water. Chest. 2005 May;127(5):1690-5. doi: 10.1378/chest.127.5.1690. PubMed 15888847 ↗
  • Reali F, Sferrazza Papa GF, Carlucci P, Fracasso P, Di Marco F, Mandelli M, Soldi S, Riva E, Centanni S. Can lung ultrasound replace chest radiography for the diagnosis of pneumonia in hospitalized children? Respiration. 2014;88(2):112-5. doi: 10.1159/000362692. Epub 2014 Jul 2. PubMed 24992951 ↗
  • Papanagnou D, Secko M, Gullett J, Stone M, Zehtabchi S. Clinician-Performed Bedside Ultrasound in Improving Diagnostic Accuracy in Patients Presenting to the ED with Acute Dyspnea. West J Emerg Med. 2017 Apr;18(3):382-389. doi: 10.5811/westjem.2017.1.31223. Epub 2017 Mar 3. PubMed 28435488 ↗
  • Zanobetti M, Scorpiniti M, Gigli C, Nazerian P, Vanni S, Innocenti F, Stefanone VT, Savinelli C, Coppa A, Bigiarini S, Caldi F, Tassinari I, Conti A, Grifoni S, Pini R. Point-of-Care Ultrasonography for Evaluation of Acute Dyspnea in the ED. Chest. 2017 Jun;151(6):1295-1301. doi: 10.1016/j.chest.2017.02.003. Epub 2017 Feb 16. PubMed 28212836 ↗
  • Kruisselbrink R, Chan V, Cibinel GA, Abrahamson S, Goffi A. I-AIM (Indication, Acquisition, Interpretation, Medical Decision-making) Framework for Point of Care Lung Ultrasound. Anesthesiology. 2017 Sep;127(3):568-582. doi: 10.1097/ALN.0000000000001779. No abstract available. PubMed 28742530 ↗
  • Lenahan JL, Volpicelli G, Lamorte A, Jehan F, Bassat Q, Ginsburg AS. Multicentre pilot study evaluation of lung ultrasound for the management of paediatric pneumonia in low-resource settings: a study protocol. BMJ Open Respir Res. 2018 Dec 19;5(1):e000340. doi: 10.1136/bmjresp-2018-000340. eCollection 2018. PubMed 30622716 ↗
  • Heller T, Wallrauch C, Goblirsch S, Brunetti E. Focused assessment with sonography for HIV-associated tuberculosis (FASH): a short protocol and a pictorial review. Crit Ultrasound J. 2012 Nov 21;4(1):21. doi: 10.1186/2036-7902-4-21. PubMed 23171481 ↗
  • Snelling PJ, Shefrin AE, Moake MM, Bergmann KR, Constantine E, Deanehan JK, Dessie AS, Elkhunovich MA, Gold DL, Kornblith AE, Lin-Martore M, Nti B, Pade KH, Parri N, Sivitz A, Lam SHF. Establishing the international research priorities for pediatric emergency medicine point-of-care ultrasound: A modified Delphi study. Acad Emerg Med. 2022 Nov;29(11):1338-1346. doi: 10.1111/acem.14588. Epub 2022 Sep 13. PubMed 36043227 ↗
  • Shefrin AE, Warkentine F, Constantine E, Toney A, Uya A, Doniger SJ, Sivitz AB, Horowitz R, Kessler D. Consensus Core Point-of-care Ultrasound Applications for Pediatric Emergency Medicine Training. AEM Educ Train. 2019 Mar 14;3(3):251-258. doi: 10.1002/aet2.10332. eCollection 2019 Jul. PubMed 31360818 ↗
  • Ali N, Shakeel E, Soomar SM. Need of Point of Care Ultrasound Training in Pediatric Emergency Medicine Practice: A Wake-Up Call for the Low-Income Countries. Glob Pediatr Health. 2023 Jul 18;10:2333794X231187485. doi: 10.1177/2333794X231187485. eCollection 2023. PubMed 37484605 ↗
  • Vercesi V, Pisani L, van Tongeren PSI, Lagrand WK, Leopold SJ, Huson MMA, Henwood PC, Walden A, Smit M, Riviello ED, Pelosi P, Dondorp AM, Schultz MJ; Lung Ultrasound Consortium. External confirmation and exploration of the Kigali modification for diagnosing moderate or severe ARDS. Intensive Care Med. 2018 Apr;44(4):523-524. doi: 10.1007/s00134-018-5048-5. Epub 2018 Jan 24. No abstract available. PubMed 29368056 ↗
  • Pivetta E, Goffi A, Lupia E, Tizzani M, Porrino G, Ferreri E, Volpicelli G, Balzaretti P, Banderali A, Iacobucci A, Locatelli S, Casoli G, Stone MB, Maule MM, Baldi I, Merletti F, Cibinel GA, Baron P, Battista S, Buonafede G, Busso V, Conterno A, Del Rizzo P, Ferrera P, Pecetto PF, Moiraghi C, Morello F, Steri F, Ciccone G, Calasso C, Caserta MA, Civita M, Condo' C, D'Alessandro V, Del Colle S, Ferrero S, Griot G, Laurita E, Lazzero A, Lo Curto F, Michelazzo M, Nicosia V, Palmari N, Ricchiardi A, Rolfo A, Rostagno R, Bar F, Boero E, Frascisco M, Micossi I, Mussa A, Stefanone V, Agricola R, Cordero G, Corradi F, Runzo C, Soragna A, Sciullo D, Vercillo D, Allione A, Artana N, Corsini F, Dutto L, Lauria G, Morgillo T, Tartaglino B, Bergandi D, Cassetta I, Masera C, Garrone M, Ghiselli G, Ausiello L, Barutta L, Bernardi E, Bono A, Forno D, Lamorte A, Lison D, Lorenzati B, Maggio E, Masi I, Maggiorotto M, Novelli G, Panero F, Perotto M, Ravazzoli M, Saglio E, Soardo F, Tizzani A, Tizzani P, Tullio M, Ulla M, Romagnoli E; SIMEU Group for Lung Ultrasound in the Emergency Department in Piedmont. Lung Ultrasound-Implemented Diagnosis of Acute Decompensated Heart Failure in the ED: A SIMEU Multicenter Study. Chest. 2015 Jul;148(1):202-210. doi: 10.1378/chest.14-2608. PubMed 25654562 ↗
  • Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, Vasan RS. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med. 2008 Jan 30;27(2):157-72; discussion 207-12. doi: 10.1002/sim.2929. PubMed 17569110 ↗
  • von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP; STROBE Initiative. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. J Clin Epidemiol. 2008 Apr;61(4):344-9. doi: 10.1016/j.jclinepi.2007.11.008. PubMed 18313558 ↗

Individual participant data

Plan to share: Yes — With participant's consent, data from this study may be shared in a de-identified form with other groups or researchers in accordance with the MORU Data Sharing Policy (http://www.tropmedres.ac/data-sharing-policy).

Supporting information: Study protocol, Informed consent form

Access criteria: Refer to MORU data sharing policy with other researchers to use in the future. https://www.tropmedres.ac/units/moru-bangkok/bioethics-engagement/data-sharing/moru-tropical-network-policy-on-sharing-data-and-other-outputs

Data sharing details ↗ · www.tropmedres.ac

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from Jan 2025 to primary completion in May 2025, 4 months.

Of 60 non-industry observational studies under Respiration Disorders, half reached primary completion within 32 months of starting (the median), counting those still running; a quarter within 14 and three quarters within 60. This study's 4 months is below that.

Counting every sponsor, half of 75 studies reached it within 26 months; a quarter within 10 and three quarters within 55.

How these figures are worked out, and which studies are left out of them.

Registered
Jan 30, 2025
First posted
Feb 21, 2025
StartActual
Jan 1, 2025
Primary completionActual
May 16, 2025
CompletionActual
May 16, 2025
Last update
Aug 24, 2025
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Aug 24, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06839963
Responsible party
Sponsor
First posted
Feb 21, 2025
Start date
Jan 1, 2025
Primary completion
May 16, 2025
Completion
May 16, 2025
Last update
Aug 24, 2025

Study contacts

Luigi Pisani
principal investigator · Mahidol Oxford Tropical Medicine Research Unit Faculty of Tropical Medicine, Mahidol University Thailand

Oversight

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

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