| Literature DB >> 27826449 |
Bruno François1, Marc Clavel2, Philippe Vignon2, Pierre-François Laterre3.
Abstract
BACKGROUND: Critical care is a complex field of medicine, especially because of its diversity and unpredictability. Mortality rates of the diseases are usually high and patients are critically ill, admitted in emergency, and often have several overlapping diseases. This makes research in critical care also complex because of patients' conditions and because of the numerous ethical and regulatory requirements and increasing global competition. Many clinical trials in critical care have thus failed and almost no drug has yet been developed to treat intensive care unit (ICU) patients. Learning from the failures, clinical trials must now be optimized. MAIN BODY: Several aspects can be improved, beginning with the design of studies that should take into account patients' diversity in the ICU. At the site level, selection should reflect more accurately the potential of recruitment. Management of all players that can be involved in the research at a site level should be a priority. Moreover, training should be offered to all staff members, including the youngest. National and international networks are also part of the future as they create a collective synergy potentially improving the efficacy of sites. Finally, computerization is another area that must be further developed with the appropriate tools.Entities:
Keywords: Clinical research; Intensive care unit; Investigation center; Performance; Trials; Ventilator-associated pneumonia
Year: 2016 PMID: 27826449 PMCID: PMC5097421 DOI: 10.1186/s40560-016-0191-y
Source DB: PubMed Journal: J Intensive Care ISSN: 2052-0492
Fig. 1Example of a “mobile short time window” for enrolment in a pre-emptive approach trial targeting mechanically ventilated and colonized patients with Pseudomonas aeruginosa and before onset of VAP. IVRS interactive voice response system (randomization system)
Fig. 2“Drag and drop” screening tool for eligibility checking in a sepsis trial with a narrow time window for enrolment. Each numbered bar represents a qualifying criterion. Whenever a criterion is recorded, the corresponding bar is dragged on the time line (blue). In fig. 2a, all the criteria were not recorded in the pre-specified window (P/F ratio recorded outside the time window). Thus, the patient cannot be included and the light is red. In fig. 2b, the light turned green as all criteria were recorded in the right time window and the time remaining for enrolment is indicated with the green bar. INR international normalized ratio, MAP mean arterial pressure, WBC white blood cells, PLT platelets, T temperature
Fig. 3Example of a “schedule of event” for bedside nurses in a sepsis trial. It includes both treatment and follow-up period until D28 or hospital discharge as well as long-term follow-up. Treatment dose is automatically calculated based on patient’s weight and date and time of treatment and/or assessment are automatically displayed based on the time of inclusion. Each assessment box provides information on data to record and examination to perform. CBC complete blood count, plat. platelet count, PT prothrombin time, INR international normalized ratio, Creat creatinine, EKG electrocardiogramme, HR heart rate, RR respiratory rate, BP blood pressure, BG blood gas, NA not applicable
Summary of issues identified and proposed solutions
| Issues identified | Potential consequences for the study | Proposed solutions |
|---|---|---|
| Weakness of definitions of ICU diseases | Difficult to demonstrate trial and/or drug efficacy | Increase basic research, for example, on biomarkers |
| Current trial designs unadapted to ICU specificities | Lower impact of results and efficacy of trial | Adaptive design |
| 80 % of patients recruited by 20 % of sites | Possible bias, center effect | Improved site selection |
| Overestimation of recruitment capacity | Recruitment objectives not met, study closed | More precise calculation of recruitment capacity |
| Competing trials not considered during feasibility | Patients eligible for several studies | Tracking tables of all studies even potential |
| Caregivers not involved in research | Possible bias due to lack of information | Involvement of every member of the unit |
| Numerous players | Confusion, delay or lack of information | Standard operating procedures with different units |
| Under recruitment | Study closed for lack of patients | Research team available 24/7 |
| Complex and tight schedule of events | Missing data, delay | Computerized medical records |
| Long-term follow-up of patients | Many patients lost to follow-up | Tracking tables with reminders |
| Lack of training for physicians | Physicians do not feel involved | Training included as soon as medical studies |
| Lack of involvement of investigators in pharmaceutical-sponsored trials | Design unadapted to ICU research | Involvement of physicians since the beginning of the process |
| Clinical research still considered as a stand-alone activity | Cares and treatments competing with routine | Clinical research implemented as part of routine care |