Novel Tools to Improve Management of Paediatric Community-Acquired Pneumonia - ToolCAP
- Conditions
- PneumoniaPneumonia ChildhoodPneumonia - BacterialPediatricsLRTIIMCI Guidelines
- Registration Number
- NCT06670833
- Lead Sponsor
- University of Bern
- Brief Summary
The ToolCAP study aims to see if using ultrasound to look at the lungs when children have symptoms of a lung infection will safely allow doctors to improve how they treat those infections. The study will also look at if it's possible to improve how doctors decide which children need antibiotics.
* Lung infections are the most common reason for children to go to the clinic/hospital.
* Doctors usually give an antibiotic to every child with a lung infection.
* Lung infections can be caused by 2 different types of germs - bacteria or viruses.
* Antibiotics only work against bacteria and not against viruses. Lung infections caused by viruses don't need antibiotics as the body fights them by itself.
* Lots of research now shows that only 1 in 4 children with a lung infection actually needs an antibiotic, as the rest only have a viral infection causing the symptoms.
* This means that 3 in 4 children get an antibiotic when they don't need it.
* Taking too many antibiotics can cause problems for children as it can cause diseases like diabetes or asthma.
* Nowadays, due to too many people using too many antibiotics, experts are starting to worry that bacteria are starting to become resistant (stronger than the antibiotic).
* Ultrasound of the lungs appears to be a way of safely looking at the lungs to see if there is an infection and may help doctors better decide who needs an antibiotic.
This study includes children aged 2 months-12 years who come to the hospital with a lung infection. Children who are very unwell or who have already had 2 days of antibiotic treatment will not be allowed to be in the study.
- Detailed Description
In 2019, lower respiratory tract infections (LRTI) caused 2.6 million deaths worldwide, making them the fourth leading cause of death overall. While the statistic is global the effect is concentrated in low-resource settings and among children, with pneumonia being the single largest infectious cause of death in children worldwide.
LRTI (including pneumonia) are the most common reason for sick children to present for acute outpatient care and current best practice pneumonia management guidelines advocate for all cases to receive a course of antibiotics. This relies on the World Health Organization's (WHO) Integrated Management of Childhood Infections (IMCI) guidelines, first developed in the 1990s - a time when providing access to antibiotics was a major goal for public health programs. Today, antibiotics are readily available in most countries in sub-Saharan Africa (SSA) and antibiotic over-prescription has become a public health crisis. The IMCI guidelines were re-iterated in 2014 but still rely on presumptive treatment based on clinical signs alone (cough, respiratory rate, and lower costal indrawing), as evidence to include additional diagnostic tests into the IMCI approach has been lacking. However clinical features inadequately distinguish bacterial infections and complications from common, self-limiting viral infections. Furthermore, recent evidence estimates the incidence of bacterial respiratory infections in SSA, using a combination of microbiology, chest x-ray (CXR), and clinical outcomes as reference standards, is as low as 2-4% in primary, and 23.3-31.6% in secondary, care. Therefore, approximately 9 out of 10 courses of antibiotics recommended by current guidelines for children with LRTI are estimated to be unnecessary.
Bacterial antimicrobial resistance (AMR), responsible for 1.27 million deaths in 2019 and with the highest burden in SSA, is thus of increasing concern; with nearly as many deaths as malaria and HIV combined. Inappropriately and excessively prescribing antibiotics represents one primary contributor of bacterial AMR. In SSA, more than 50% of children who are sick receive antibiotics when visiting health facilities with 80-90% of such antibiotics prescribed at the outpatient level and most deemed inappropriate. Most inappropriate antibiotic use occurs with respiratory infections due to systematic overprescription as outlined above. Antibiotic use and AMR are projected to increase over the next years, indicating urgent action. Accordingly, WHO declared AMR as "one of the biggest threats to global health, food security and development today.". Effective solutions to improve antibiotic stewardship for childhood infections in SSA primary care settings remain lacking, though its well recognized improved diagnostic and management processes are essential.
Lacking more effective tools to safely identify the minority of children requiring antibiotics, frontline clinicians in low resource settings therefore prescribe antibiotics to nearly every child, driving the above-described overuse and fuelling local AMR, whilst significantly overtreating cases of viral pneumonia. Besides the risk of AMR at the population level, reducing antibiotic prescriptions is also important for each individual patient. Antibiotic exposure early in life has been associated with an increased risk of health conditions, including asthma, allergic rhinitis, atopic dermatitis, autoimmune disease, obesity, and neurodevelopmental disorders. Improving IMCI diagnostic criteria to better identify children with pneumonia that would benefit from antibiotic therapy is therefore a WHO research priority.
Several tools have since been proposed (currently at different stages of diagnostic development) to both improve diagnostic pathways and improve appropriateness of antimicrobial prescriptions in low and middle income countries. These include the use of point of care C-reactive Protein (CRP), Procalcitonin (PCT), comprehensive electronic decision support algorithms, and more novel applications of established technologies. Two such technologies are Lung Ultrasound (LUS) and Lung Auscultation (LAusc). LUS is a well-established, near consumable-free, and non-invasive point-of-care respiratory exam. While LUS is less ubiquitous than the stethoscope, it's new portable and affordable ultrasound-on-a-chip design, pluggable into a mobile device, has the potential to be integrated into the standard clinical exam without incurring extra costs, time, radiation, or specialist consultation. These portable ultrasound devices have reached regulatory approval and are used in medical care across SSA. This together with increasing evidence showing its ability to effectively detect lung consolidation in pneumonia have made it an increasingly attractive tool for frontline clinicians; already becoming an established practice in the outpatient case management of children with respiratory infections in many high-resource settings as well as growing steadily in popularity in SSA.
A number of studies have compared LUS to CXR and/or Computerised tomography (CT) for pneumonia diagnosis. A multi-centre trial in Europe including 362 adult patients with pneumonia compared LUS performed by a specialist to a diagnosis of pneumonia made by CXR and in some cases CT. The authors reported a sensitivity of 93.4% (95% Confidence Interval (CI) 89.2-96.3%) and a specificity of 97.7% (95%CI 89.2-99.6%). Most studies in children (performed primarily in high-income countries and tertiary care settings) have found high diagnostic accuracy when comparing LUS to CXR, using either CXR, CT, or Magnetic Resonance Imaging (MRI) as reference standards, with a recent meta-analysis suggesting an overall sensitivity of 95% (91-97%) and specificity of 96% (90-99%). A smaller number of studies have investigated using LUS to assist in determining the etiological causes of the consolidations. Although these have shown a possibility of differentiating viral from bacterial infections, the reference standards used were nasopharyngeal swab carriage, clinical syndromes, and other clinically available data. A notable limitation of this study was therefore the lack of a microbiologically confirmed diagnosis, making it hard to make definitive statements about the ability of LUS to differentiate. This lack of reliable reference standards in paediatric pneumonia is a well-documented challenge, most notably discussed in the Pneumonia Etiology Research for Child Health (PERCH) study, and thus limits the value of etiology focused diagnostic accuracy studies. Although the first studies on the use of LUS to detect lung consolidation in children in LMICs are promising, as seen in Nepal, Peru, and Egypt, they remain limited in scope and context, with no evidence on the clinical impact of LUS assisted diagnoses on antimicrobial use or health outcomes, particularly in a primary care setting. This highlights the importance of the assessment of LUS integrated into care to assess for real changes in treatment outcomes through an interventional study, rather than observational diagnostic accuracy studies.
Studies assessing the potential of LUS in the diagnosis of pulmonary tuberculosis (TB) in children are equally limited. With paediatric TB diagnosis remaining a huge challenge in low resource settings, many cases still remain undiagnosed and untreated - an issue being addressed though the development of pragmatic TB Treatment Decision Algorithms for settings with and without CXR. These Treatment Decision Algorithms are now included in the operational handbook accompanying the WHO guidelines on the management of TB in children and adolescents. More evidence is however needed on the potential role of LUS as an alternative diagnostic modality in the context of these TB Treatment Decision Algorithms.
Regarding operability of LUS in SSA by novice health workers, LUS performance evidence shows it is possible to capture images/video with minimal training and achieve high diagnostic quality, as evidenced in both South Sudan and Bangladesh, though concerns remain regarding diagnostic quality outside research settings. Image acquisition aside, interpretation and inter-user bias remain the largest concern, this however makes them excellent candidates for automated interpretation by objective computer-aided pattern detection. Using deep learning our collaborating team at École polytechnique fédérale de Lausanne (EPFL) have found excellent preliminary results in Swiss cohorts, matching and out-performing expert evaluation for risk stratification (Area Under the Receiver Operating characteristic Curve (AUROC) \>80%) and diagnosis (AUROC \>90%) of COVID-19 pneumonia (unpublished data).
As with LUS, LAsuc is another established tool being applied in a novel way. While evidence for the potential of LAusc for paediatric pneumonia is limited, some preliminary evidence on the predictive capacity of other respiratory sounds is emerging; for instance, the application of deep learning was able to predict diagnosis from breath and cough sounds collected on a mobile application with an AUC of around 80%. Another group achieved above 95% sensitivity and specificity on discriminating COVID-19 coughs from other pathologies as well as healthy patients. A study in South Africa included 33 culture-confirmed TB patients with healthy controls and found a diagnostic accuracy of 75%. This doesn't however speak much to the more pressing question of differentiating TB from non-TB pneumonia. While these are extremely promising results, no such trials have been performed in TB endemic areas, particularly challenging the specificity of LAusc for the detection of either pneumonia or TB. There is also as yet no regulatory approval for the use of AI powered LAusc devices in clinical practice.
This study therefore seeks to enable adoption of LUS into the routine management of IMCI clinical pneumonia through addressing key evidence gaps for translation into policy and practice, which includes generating evidence on the possible impact on health outcomes, namely: Does the integration of LUS into IMCI-based management guidelines better identify those children that would most benefit from antibiotic treatment, thus reducing antibiotic overuse without compromising health outcomes?
All paediatric patients (\>60 days - 12 years) presenting to the ER or Outpatients Department (OPD) in participating study sites will be triaged as per routine care. Study staff will screen all presenting patients and consecutive patient recruitment will be done for those meeting all inclusion criteria. Those showing signs of severe disease or WHO IMCI Danger signs on triage (and hence meeting exclusion criteria) will be referred immediately to the treating clinicians as per local policy.
For those meeting inclusion criteria, sufficient time to read the informed consent form and make an informed decision will be given to the patients/parents/caregivers before inclusion in the study. Information covered will include the nature of the study, its purpose, the procedures involved, the expected duration, the potential risks and benefits and any discomfort it may entail.
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 3500
- Cough OR Difficulty Breathing AND,
- One of the below:
Fast breathing (tachypnoea) > 50/minute (2-12 months) > 40/minute (1-<5 years) > 25/minute (5-12 years) OR Lower chest wall indrawing
- Presenting for repeat visit/follow-up of a treated lower respiratory tract infection (index illness / non-acute) or enrolled in the study within the preceding 28 days.
- Received antibiotic treatment for more than 48 hours at the time of enrolment.
- WHO IMCI danger signs (inability to drink/breastfeed, vomiting everything, convulsions with this illness, lethargy/unconscious).
- Presence of jaundice.
- Hypoxaemia with oxygen saturation (SpO2) <88%
- Oxygen saturation (SpO2) <90% (or country-specific / altitude-adjusted thresholds) i) With signs of severe respiratory distress (such as nasal flaring, grunting, etc.) OR ii) In children < 6 months
- Requiring non-invasive ventilatory support (i.e., high-flow, bilevel positive airway pressure (BiPAP) and continuous positive airway pressure (CPAP))
- Underlying disease associated with increased risk of severe pneumonia or pneumonia of unusual aetiology (e.g., WHO acute malnutrition requiring antibiotics as per local guidelines, severe immunodeficiency)
- HIV positive participant that is either i) less than 12 months old; OR ii) requires admission for this illness; OR iii) known to be uncontrolled on treatment (with a documented VL >1000c/ml in the previous 6 months)
- Caregiver unavailable at the time of enrolment, or unwilling, to provide informed consent.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Primary Outcome Measures
Name Time Method Percentage of children prescribed antibiotic treatment Day 1 Percentage of children with clinical failure Day 8 Clinical failure is defined as the development of any if the following criteria: 1. Any time before or on D8: \*WHO IMCI danger sign (inability to drink/breastfeed, vomiting everything, convulsions with this illness, lethargy/unconsciousness) \* New or worsening sever respiratory distress (such as grunting, head nodding, severe chest indrawing) \* Secondary hospitalization (defined as hospitalization occurring after discharge from in-patient admission or outpatient visit) related to a deterioration of the presenting complaint on D1 \* Change in level of care (e.g. admission to intensive care unit, transfer to higher level of care) \* Need for respiratory support (e.g. high flow nasal cannula, CPAP) \* Death due to any medical cause (i.e. except trauma) ii. At D8 outcome assessment: \* Report from the caregiver of non-resolution/worsening of illness
- Secondary Outcome Measures
Name Time Method Percentage of diagnoses or RSV bronchiolitis Day 29 Percentage of diagnosis of confirmed bacterial pneumonia Day 29 Percentage of children enrolled in the tuberculosis (TB) substudy with confirmed, unconfirmed or unlikely intrathoracic TB 8 weeks Percentage of children enrolled in the TB substudy: * meeting exclusion criteria 1-9 and not enrolled in the RCT, Or * enrolled in the RCT and classified as having clinical failure who ultimately had TB disease 8 weeks Ability of Lung ultrasound (LUS) (and mediastinal ultrasound (US) if done) to distinguish TB from non-TB disease in children enrolled in the TB substudy 8 weeks Defined as percentage of children enrolled in the TB substudy in whom TB was correctly distinguished from non-TB disease by LUS (an mediastinal US, if done)
Diagnostic accuracy of LUS compared with chest X-ray (CXR) and computer aided detection (CAD) within the context of TB treatment Decision Algorithms in children enrolled in the TB substudy 8 weeks Defined as percentage of children enrolled in the TB substudy with correct diagnoses in CXR vs. CAD
Cost-effectiveness if integration of LUS into current IMCI-based management guidelines for pneumonia in children enrolled in the TB substudy 8 weeks Percentage of diagnoses of pulmonary tuberculosis Day 29 Percentage of children prescribed antibiotic treatment Day 8 Percentage of adverse drug reactions related to routine antibiotic treatment (i.e., anaphylactic reaction, severe diarrhoea, or generalized severe rash) Day 8 Percentage of participants cured Day 8 Cure is defined as caregiver-reported recovery from illness
Percentage of patients admitted to hospital on D1 Day 1 Duration of inpatient admissions Day 29 Percentage of patients undergoing a non-study related diagnostic test (including X-ray (CXR), blood tests, urine tests, microbiological assays) Day 1 Number of tests conducted in patients admitted to hospital on day 1 Day 8 Percentage of deaths of any cause Day 29 Percentage of participants with unscheduled health seeking events for any cause and/or hospital admission for any cause since day 8 Day 29
Trial Locations
- Locations (9)
Université Cheikh Anta Diop
🇸🇳Dakar, Senegal
Centre National Hospitalier d'Enfants Albert Royer
🇸🇳Dakar, Senegal
Centre De Santé Gaspard Kamara
🇸🇳Dakar, Senegal
Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University
🇿🇦Parow, Cape Town, South Africa
University of Witwatersrand, MRC/Wits Rural Public Health and Health Transitions Research Unit
🇿🇦Parktown, Johannesburg, South Africa
Tintswalo Hospital
🇿🇦Acornhoek, Mpumalanga, South Africa
Themba Hospital
🇿🇦Mbombela, South Africa
Ifakara Health Institute
🇹🇿Ifakara, Morogoro, Tanzania
Muhimbili University of Health and Allied Sciences
🇹🇿Dar Es Salaam, Tanzania