Laboratorio de Urgencias

Bibliografía

Buenos Aires 01 de Julio del 2021

C-Reactive Protein Testing to Guide Antibiotic Prescribing for COPD Exacerbations

Christopher C. Butler,F.Med.Sci,David Gillespie,Ph.D.,Patrick White,M.D.,Janine Bates,M.Phil.,Rachel Lowe,Ph.D.,Emma Thomas-Jones,Ph.D.,Mandy Wootton,Ph.D.,et al

N Engl J Med 2019; 381:111-120 DOI: 10.1056/NEJMoa1803185

Abstract

BACKGROUND

Point-of-care testing of C-reactive protein (CRP) may be a way to reduce unnecessary use of antibiotics without harming patients who have acute exacerbations of chronic obstructive pulmonary disease (COPD).

METHODS

We performed a multicenter, open-label, randomized, controlled trial involving patients with a diagnosis of COPD in their primary care clinical record who consulted a clinician at 1 of 86 general medical practices in England and Wales for an acute exacerbation of COPD. The patients were assigned to receive usual care guided by CRP point-of-care testing (CRP-guided group) or usual care alone (usual-care group). The primary outcomes were patient-reported use of antibiotics for acute exacerbations of COPD within 4 weeks after randomization (to show superiority) and COPD-related health status at 2 weeks after randomization, as measured by the Clinical COPD Questionnaire, a 10-item scale with scores ranging from 0 (very good COPD health status) to 6 (extremely poor COPD health status) (to show noninferiority).

RESULTS

A total of 653 patients underwent randomization. Fewer patients in the CRP-guided group reported antibiotic use than in the usual-care group (57.0% vs. 77.4%; adjusted odds ratio, 0.31; 95% confidence interval [CI], 0.20 to 0.47). The adjusted mean difference in the total score on the Clinical COPD Questionnaire at 2 weeks was −0.19 points (two-sided 90% CI, −0.33 to −0.05) in favor of the CRP-guided group. The antibiotic prescribing decisions made by clinicians at the initial consultation were ascertained for all but 1 patient, and antibiotic prescriptions issued over the first 4 weeks of follow-up were ascertained for 96.9% of the patients. A lower percentage of patients in the CRP-guided group than in the usual-care group received an antibiotic prescription at the initial consultation (47.7% vs. 69.7%, for a difference of 22.0 percentage points; adjusted odds ratio, 0.31; 95% CI, 0.21 to 0.45) and during the first 4 weeks of follow-up (59.1% vs. 79.7%, for a difference of 20.6 percentage points; adjusted odds ratio, 0.30; 95% CI, 0.20 to 0.46). Two patients in the usual-care group died within 4 weeks after randomization from causes considered by the investigators to be unrelated to trial participation.

CONCLUSIONS

CRP-guided prescribing of antibiotics for exacerbations of COPD in primary care clinics resulted in a lower percentage of patients who reported antibiotic use and who received antibiotic prescriptions from clinicians, with no evidence of harm. (Funded by the National Institute for Health Research Health Technology Assessment Program; PACE Current Controlled Trials number,

Primary care providers are responsible for the majority of antibiotic prescriptions, and the highest overall number of such prescriptions are issued by family physicians.¹ There is reason to believe that many of these prescriptions could be avoided.^2,3 Unwarranted use of antibiotics drives antimicrobial resistance, wastes resources, may cause adverse effects, negatively affects the microbiome of patients, and distracts from potentially more effective interventions.^4-10 Point-of-care tests for acute infections are being promoted by government organizations, the industry, and clinical guidelines to better target antibiotic prescribing, help contain antimicrobial resistance, and improve patient outcomes.¹¹ However, most evaluations of point-of-care tests for acute infections have solely examined analytic performance; only a few trials have evaluated the effectiveness of such tests in improving outcomes in the patients for whom the tests are intended to be used.^12-14

Chronic obstructive pulmonary disease (COPD) was the third leading cause of death in the United States in 2014,¹⁵ and 6.4% of Americans reported receiving a diagnosis of the condition.¹⁶ About 2% of the adult population in the United Kingdom have a diagnosis of COPD in their primary care medical record.^17,18 Each year, approximately half the patients living with COPD have one or more acute exacerbations of the disease that leads to treatment with oral glucocorticoids, antibiotics, or both or hospitalization, and a quarter have two or more acute exacerbations per year.^19,20 More than 80% of these patients receive antibiotic prescriptions in the United States^21,22 and in Europe.²³ Although many patients who have acute exacerbations of COPD are helped by these treatments, others are not.^24-26

Noninfectious factors were thought to cause approximately 20% of acute exacerbations of COPD in a hospital study.²⁷ The guidelines of the Global Initiative for Chronic Obstructive Lung Disease recommend the use of antibiotics in moderately or severely ill patients with acute exacerbations of COPD who have increased cough and sputum purulence.²⁸ Recommendations for antibiotic prescribing in primary care practice are generally based on clinical features alone (e.g., the Anthonisen criteria,²⁹ which include increased dyspnea, increased sputum volume, and increased sputum purulence), but these features are subjective and insufficiently accurate in predicting which patients can be treated safely without antibiotics.²⁴

C-reactive protein (CRP), an acute-phase protein that can be measured accurately within minutes at the point of care, is a biomarker for assessing acute exacerbations of COPD.^30,31 A randomized, controlled trial involving patients with acute exacerbations of COPD recruited from primary care practices showed little difference in the rate of clinical cure with either antibiotics or placebo among those who had a CRP level of less than 40 mg per liter.³² The results of point-of care CRP tests may inform prescribing decisions for acute exacerbations of COPD, but data from pragmatic, randomized, controlled trials regarding the clinical effectiveness of such tests are lacking. We aimed to determine whether a CRP point-of-care test used in the assessment of acute exacerbations of COPD in primary care can safely reduce the use of antibiotics among such patients.

Methods

TRIAL DESIGN AND OVERSIGHT

This multicenter, open-label, randomized, controlled trial was conducted from January 2015 through September 2017 in accordance with a previously published protocol³³ which is available with the full text of this article at NEJM.org. The trial involved patients recruited from 86 general medical practices in the United Kingdom. The Research Ethics Committee for Wales, recognized by the United Kingdom Ethics Committee Authority, approved the trial protocol on September 15, 2014, as well as the inclusion of all the recruitment sites in the trial. Health boards and clinical commissioning groups of the National Health Service gave research and development approval to participating sites. Written informed consent was obtained from all the patients by the responsible primary care physician or an appropriately trained staff member. The authors vouch for the accuracy and completeness of the data and for the fidelity of the trial to the protocol. An independent trial steering committee and a data monitoring and ethics committee provided trial oversight.
Afinion desktop devices for CRP point-of-care testing (Alere, now Abbott) were loaned by the company. The staff members at the general medical practices were trained in the use, care, and calibration of the devices by representatives of Alere (at no cost to the trial or to the practices) or by members of the trial team. The company had no role in the design of the trial; in the accrual, analysis, or interpretation of the data; or in the preparation of the manuscript. Two participating practices used their own CRP test device.

PATIENTS

Patients who were 40 years of age or older were eligible for inclusion if they had a diagnosis of COPD in their primary care clinical record and were presenting with an acute exacerbation of COPD with at least one of the Anthonisen criteria.The patients were randomly assigned in a 1:1 ratio to receive usual care guided by CRP point-of-care testing (CRP-guided group) or usual care alone (usual-care group); the number of Anthonisen criteria present (one to three) was used as a minimization variable, with a random element set at 80%.

TRIAL PROCEDURES

Before randomization, we collected information on the number of days that symptoms of acute exacerbation of COPD were present, a patient’s medical history, examination findings from clinicians, a sputum sample (if obtainable), a throat swab, patient responses to the self-administered Clinical COPD Questionnaire,³⁴and patients’ responses to the European Quality of Life–5 Dimensions 5-Level questionnaire (EQ-5D-5L; scores range from −0.28 to 1.00, with higher scores indicating a better state of health).³⁵ Clinicians recorded their antibiotic prescribing and other management decisions after randomization on a case report form.
The patients were followed up by means of telephone calls at weeks 1 and 2 and by face-to-face consultation at week 4. At 6 months, a self-administered, standardized version of the Chronic Respiratory Disease Questionnaire (CRQ-SAS)³⁶ and an EQ-5D-5L were mailed to the patients, and relevant data were collected from the primary care electronic medical records..

TRIAL INTERVENTIONS

Clinicians were asked to perform a CRP point-of-care test as part of their assessment of patients in the CRP-guided group at the initial consultation and at any further consultations for acute exacerbations of COPD over the next 4 weeks; those in the usual-care group did not undergo CRP testing. All the participating sites were provided with a summary of guidance from the National Institute for Health and Care Excellence and the Global Initiative for Chronic Obstructive Lung Disease. Clinicians were provided with guidance on the interpretation of CRP test results emphasizing that decisions about antibiotic prescribing should be based on a comprehensive assessment of likely risks and benefits, given a patient’s underlying health status and clinical features. The guidance noted that for patients with a CRP level lower than 20 mg per liter, antibiotics are unlikely to be beneficial and usually should not be prescribed; for those with a CRP level from 20 to 40 mg per liter, antibiotics may be beneficial, mainly if purulent sputum is present; and for those with a CRP level higher than 40 mg per liter, antibiotics are likely to be beneficial.²⁴

OUTCOME MEASURES

We used two primary outcomes because any reduction in the use of antibiotics should be considered alongside any negative effect on the well-being of a patient.³⁷The first primary outcome was patient-reported antibiotic use for an acute exacerbation of COPD within 4 weeks after randomization. The second primary outcome was COPD-related health status, as measured by the Clinical COPD Questionnaire at 2 weeks after randomization. The Clinical COPD Questionnaire is a 10-item scale with a score ranging from 0 (very good) to 6 (extremely poor). The minimal clinically important difference is 0.4.³⁸ Since we would need to show both a reduction in antibiotic use and no worsening of COPD-related health status in order for us to consider the CRP point-of-care test to be effective, we designed this study to answer both questions.
Key secondary outcomes included the prevalence of potentially pathogenic and resistant pathogens in sputum and commensal organisms in the throat; other assessments of COPD-related health status, as measured by the Clinical COPD Questionnaire; antibiotic use for any cause during the first 4 weeks of follow-up; antibiotic prescribing during the first 4 weeks of follow-up; use of other treatments for COPD; adverse effects of antibiotics; health care utilization; health utility, as measured by the EQ-5D-5L; general health status, as measured by the EQ-5D visual analogue scale (scores range from 0 to 100, with higher scores indicating better health status), and disease-specific health-related quality of life, as measured by the CRQ-SAS across four domains (dyspnea, fatigue, emotional functioning, and mastery), with scores ranging from 1 to 7 and higher scores indicating better patient outcomes on the respective domain.

STATISTICAL ANALYSIS

Allowing for a loss to follow-up of 20%, we estimated that a sample size of 650 patients would provide 81 to 90% overall power to detect a between-group difference of 15 percentage points in the percentage of patients who used antibiotics for acute exacerbations of COPD during 4 weeks of follow-up, on the basis of an estimated 70% of patients with antibiotic use for acute exacerbations of COPD during the first 4 weeks of follow-up and to show that usual care with CRP-guided management did not lead to worse COPD-related health status (i.e., was noninferior) than usual care alone. Given the noninferiority research question, we were interested in the upper limit of the confidence interval of the adjusted mean difference. Therefore, our sample-size calculation was based on a one-sided 95% confidence interval, which is equivalent to a two-sided 90% confidence interval.
The main analysis of clinical effectiveness was performed in a modified intention-to-treat population, which included all the patients who had undergone randomization and had available outcome data, regardless of protocol deviations or the intervention they received. Analyses of the primary outcomes were also performed in the full intention-to-treat population, which included all the patients who had undergone randomization, with the use of multiple imputation to account for missing observations.. The primary analysis of antibiotic use involved a two-level logistic-regression model, with the potential correlated nature of the data from the patients within practices taken into account. The model was adjusted for the number of Anthonisen criteria present before randomization. The primary analysis of the total score on the Clinical COPD Questionnaire involved a two-level analysis of covariance, with patients nested within practices and adjustment for both the number of Anthonisen criteria present and total score on the Clinical COPD Questionnaire at baseline. A complier average causal effect (an estimate of the effect of receiving the assigned intervention that conforms with the randomization scheme)³⁹ was estimated for the primary outcome of total score on the Clinical COPD Questionnaire. Model estimates for the analysis of the total score on the Clinical COPD Questionnaire are presented as adjusted mean differences with two-sided 90% confidence intervals. In both the modified intention-to-treat and complier average causal effect analyses, noninferiority was concluded on the basis of the upper limit of the confidence interval excluding 0.3, which is slightly smaller (more conservative) than the previously published minimal clinically important difference of 0.4.⁴⁰ Secondary outcomes were analyzed similarly; however, because the estimated confidence intervals for our secondary outcomes have not been adjusted for multiple testing, inferences drawn from these may not be reproducible.

PATIENTS

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