Azithromycin for acute bronchitis: a randomised, double-blind, controlled trial

Lancet 2002; 359: 1648-54

Arthur T Evans, Shahid Husain, Lakshmi Durairaj, Laura S Sadowski, Marjorie Charles-Damte, Yue Wang


Collaborative Research Unit, Department of Medicine, Cook County Hospital and Rush Medical College, Chicago, IL (A T Evans MD, L S Sadowski MD, M Charles-Damte RN, Y Wang PhD); Division of Infectious Diseases, University of Pittsburgh Medical Center, Pittsburgh, PA (S Husain MD); and Division of Pulmonary, Critical Care and Occupational Medicine, University of Iowa College of Medicine, Iowa City, IA, USA (L Durairaj MD)


Correspondence to: Dr Arthur T Evans, Collaborative Research Unit, Cook County Hospital, Room 1600, Administration Building, 1900 W Polk St, Chicago, IL 60612, USA (e-mail:[log in to unmask])

Summary
Introduction
Methods
Results
Discussion
References

Summary

Background The value of azithromycin for treatment of acute bronchitis is unknown, even though this drug is commonly prescribed. We have investigated this question in a randomised, double-blind, controlled trial.

Methods Adults diagnosed with acute bronchitis, without evidence of underlying lung disease, were randomly assigned azithromycin (n=112) or vitamin C (n=108) for 5 days (total dose for each 1·5 g). All individuals were also given liquid dextromethorphan and albuterol inhaler with a spacer. The primary outcome was improvement in health-related quality of life at 7 days; an important difference was defined as 0·5 or greater. Analysis was by intention to treat.

Findings The study was stopped by the data-monitoring and safety committee when 220 patients had been recruited. On day 7, the adjusted difference in health-related quality of life was small and not significant (difference 0·03 [95% CI -0·20 to 0·26], p=0·8). 86 (89%) of 97 patients in the azithromycin group and 82 (89%) of 92 in the vitamin C group had returned to their usual activities by day 7 (difference 0·5% [-10% to 9%], p>0·9). There were no differences in the frequency of adverse effects; three patients in the vitamin C group discontinued the study medicine because of perceived adverse effects, compared with none in the azithromycin group. Most patients (81%) reported benefit from the albuterol inhaler.

Interpretation Azithromycin is no better than low-dose vitamin C for acute bronchitis. Further studies are needed to identify the best treatment for this disorder.

Lancet 2002; 359: 1648-54
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Introduction

Every year, more than ten million US adults visit physicians for acute bronchitis, and most of them receive antibiotics.1,2 Many experts condemn such treatment, citing three main reasons: weak or conflicting experimental evidence of clinical benefit, lack of a strong biological rationale (the causative pathogens are viruses in most cases), and increasing societal concern about widespread antibiotic resistance.2-5

Nine randomised controlled trials of three different antibiotics for acute bronchitis have been published;6-14 four demonstrated clinical benefit.9-12 Meta-analyses of these studies15-18 have been beset by fundamental problems:2,15-18 different studies measured different outcomes; the reliability and validity of outcome measurement was uncertain; and some outcomes had questionable clinical significance (for example, duration of purulent sputum). Equally important, no published study has measured the effect of antibiotic therapy on quality of life, although four studies8-11 reported on limitations in work or other activities.18 Finally, no study has assessed any of the newer antibiotics widely promoted and prescribed today, including quinolones and the newer macrolides.

Azithromycin is a macrolide antibiotic commonly prescribed for acute bronchitis. It has a broad spectrum of activity and infrequent adverse effects, and it is easy to take (once daily for 5 days). However, it is also expensive, and the only published evidence of its efficacy in acute bronchitis comes from several small equivalence studies19-22 and one large, open, uncontrolled, drug-company-sponsored case series.23,24

In a randomised, double-blind, controlled clinical trial, we tested whether patients prescribed azithromycin for acute bronchitis returned to work (or other usual activities) sooner and whether they experienced greater improvements in health-related quality of life than patients prescribed low-dose vitamin C.
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Methods

 

Participants

After approval of the study protocol by the institutional review board, we recruited adult patients without chronic lung disease who presented with cough of 2-14 days duration (with or without sputum production) and were diagnosed with acute bronchitis by attending physicians in the adult ambulatory screening clinic of Cook County Hospital, Chicago, Illinois, USA, during weekdays from December, 1999, until March, 2000. Patients were enrolled after giving written informed consent. Reasons for exclusion were: pregnancy; other infectious diseases necessitating antimicrobial therapy; chronic lung disease (including asthma) or current treatment with bronchodilators or glucocorticoids; angiotensin-converting-enzyme inhibitor started within the previous 4 weeks; antibiotic treatment within the previous 2 weeks; need for hospital admission; allergies to macrolides, bronchodilators, or vitamin C; duration of cough less than 2 days or longer than 2 weeks; or any clinical characteristic suggesting pneumonia, including oral temperature above 38·9°C (102°F), respiratory rate greater than 25 per min, or infiltrates or other abnormalities on chest radiograph.

Immediately before the study, physicians who would be seeing patients with cough in the ambulatory screening clinic during the study period took a 2-h training course that covered the assessment of patients presenting with acute cough, the diagnosis of acute bronchitis, the evidence supporting treatment options for cough25 and acute bronchitis, and the rationale for the planned study. The physicians were reminded that the diagnosis of acute bronchitis is largely one of exclusion, and therefore other diagnoses should be carefully considered--such as pneumonia, viral upper-respiratory-tract illness, influenza, gastro-oesophageal reflux, sinusitis, postnasal drip, heart failure, and asthma--before a final diagnosis of acute bronchitis is made. All laboratory and radiographic studies were left to the discretion of the treating physicians, but if a chest radiograph was done before enrolment, any pulmonary abnormality was grounds for exclusion.

Design and procedures

Patients were randomly assigned one of two study drugs, azithromycin (total dose 1·5 g) or vitamin C (total dose 1·5 g). All study drugs were prepared at one site by an independent pharmaceutical consultant (MediDerm, Chicago, IL, USA) in opaque sealed capsules that were identical in appearance, taste, and smell. Six capsules were packaged in bottles that were identical except for labels that differed only by a unique identification number. Each azithromycin capsule contained the equivalent of a 250 mg caplet. Each vitamin C capsule contained 250 mg vitamin C and enough dextrose to fill the capsule to a volume equivalent to the azithromycin capsule.

A research associate, not a member of the research team, prepared the randomisation code using a computer-generated (Arcus QuickStat Biomedical, Cambridge, UK) random allocation schedule in three unequal blocks. The external pharmaceutical company then sealed the study drugs in sequentially numbered identical containers according to the allocation sequence. All members of the research team--investigators, project coordinator, physicians, patient educators, research assistants, data collectors, data-entry staff, and the research pharmacist who dispensed all study drugs in sequence--were unaware of the allocation schedule. Masking was maintained until data analysis except on two occasions, when physicians specifically requested knowledge of the study drug because of patients' lack of improvement.

Before leaving the clinic, each patient was directly observed taking two study drug capsules. Participants were then instructed to take one study drug capsule in the morning on an empty stomach 1 h before eating breakfast, for the next 4 days (ie, a total of six capsules).

We chose vitamin C instead of a traditional placebo compound, such as dextrose, because the results of several focus groups we undertook a year earlier with members of the target population showed that they would probably refuse to take part in any randomised trial of acute bronchitis if the placebo group received a "sugar pill". However, they suggested that a randomised trial of antibiotic and a multivitamin or some other vitamin pill would be acceptable. We followed this recommendation and used vitamin C as the comparison drug, since it can be administered in a capsule without any identifying taste or smell and because there is no evidence of efficacy in acute bronchitis or any other respiratory illness at the doses given.26

Patients in both treatment groups all received aggressive standard symptomatic therapy of proven benefit. All participants were given 240 mL (8 ounces) of dextromethorphan syrup and were instructed to take 10 mL by mouth every 6 h as necessary for cough during the day and 15 mL at bedtime.25 All participants also received one albuterol inhaler with a spacer and were instructed to inhale two puffs with the spacer every 6 h as necessary for cough.27,28 A research nurse or trained research assistant gave instructions to all participants on taking all medications and provided supervised practice in use of the inhaler and spacer. Patients were instructed not to take any other medications for their illness during the study period.

The primary endpoint was health-related quality of life on day 7 of follow-up. Secondary endpoints were return to usual daily activities at follow-up, domain scores that comprise health-related quality of life, and adverse effects.

On enrolment, trained research assistants interviewed study participants to establish baseline measurements of health-related quality of life and to describe the activity limitations attributed to the symptoms of acute bronchitis. In addition, the examining physicians completed a standard data-collection instrument for recording clinical data from their history, physical examination, clinical assessment, and any tests done.

On day 3 (about 48 h after enrolment), a research assistant telephoned all participants for a follow-up interview to inquire whether the patient had returned to his or her usual activities at work, home, or school and to reassess the patient's health-related quality of life. In addition, patients were interviewed about use of all medications and any possible adverse effects. On day 7, the interview was repeated, with additional questions included at the end to assess the adequacy of masking and patients' subjective impressions about the effectiveness of all medications. If a patient was not available for interview on day 7 at the scheduled time, the interviewers attempted to contact him or her up to six times daily for 3 consecutive days before declaring the patient lost to follow-up.

The acute bronchitis health-related quality-of-life interview was adapted from similar instruments developed at McMaster University to measure changes in health-related quality of life for patients treated for asthma,29 rhinitis,30 chronic lung disease,31 or congestive heart failure.32 A score is obtained by taking the mean of 22 equally weighted items representing four domains: effects on daily activities (three activities specified by the individual and three general activities--sleep, recreational activities, and regular activities at home and at work); effects of coughing, including chest pain and dyspnoea (eight items); general symptoms (four items); and emotional functioning (four items; panel). For each item, patients are asked to indicate on a 7-point scale how troubled they have been during the previous few days as a result of their bronchitis symptoms, from not troubled at all (0) to extremely troubled (6).

We assessed the adequacy of masking by asking all participants at the day 7 interview to guess whether they received azithromycin or vitamin C.

Statistical analysis

We used multivariate ANCOVA with repeated measures to assess the effect of treatment group on health-related quality-of-life scores during the follow-up period, while controlling for any differences at baseline. In addition, we used the simpler ANCOVA to assess differences between groups on day 3 and day 7, separately.

A difference between groups of 0·5 points on the quality-of-life scale was selected as the smallest important difference based on published research of similar health-related quality-of-life scales.33-36 However, the previous research that identified 0·5 as a reasonable "smallest clinically important difference" involved chronic illnesses--allergic rhinitis, asthma, congestive heart failure, chronic obstructive lung disease--in which a small difference over a long period might be judged important. For self-limited illnesses of shorter duration, such as acute bronchitis, the smallest important difference might therefore be greater than 0·5. A difference of 0·5 points represents a change, for example, from 2 (somewhat troubled) to 1 (hardly troubled at all) for half of the symptoms or activities addressed in the questionnaire (on the assumption the remaining items are unchanged).

In analysing secondary endpoints, we compared the proportion of participants who had returned to their usual daily activities on day 3 and day 7 in the azithromycin and vitamin C groups. We used *2 or Fisher's exact tests and constructed near-exact 95% CI for the difference in proportions by the method of Miettinen.37

We had originally planned for a sample size of 400 patients so that we would have sufficient power to test treatment effects within several clinical subgroups that previous research had suggested as potentially important (based on age, duration of cough, magnitude of fever, and severity of symptoms). However, an interim analysis was done at the end of the fourth month to help decide whether to continue recruiting. The data-monitoring and safety committee, independent of the investigators, was presented with interim analyses addressing primary and secondary endpoints, as well as adverse effects, after the first 220 patients had been enrolled. Unaware of treatment-group identity, the committee concluded that the study should stop enrolment because the outcomes were equivalent and there was sufficient precision to be confident that the likelihood of detecting a clinically meaningful difference with a larger sample was so small that continued enrolment of patients would be inappropriate.

The sample size of 220 provided power of 95-99% to detect a difference between the groups of 0·5 points in health-related quality of life, on the assumption of a population SD of 0·8-1·0 points and alpha=0·05. This sample size also provided 80% power to detect a difference of 10% in the proportion who had returned to their usual activities by day 7.

Statistical analyses were done with SPSS (version 10), Stata (version 6), and Arcus Quickstat Biomedical (version 1). We updated a previously published meta-analysis18 using the DerSimonian-Laird random-effects model for risk differences (Arcus Quickstat Biomedical). This meta-analysis model was used instead of other methods that pool odds ratios18 because the results have a more transparent clinical interpretation and because the study by Williamson and colleagues11 can be included in the analysis, despite an odds ratio that is undefined.
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Results

Of the 340 patients who met the inclusion criteria, 91 were ineligible because of one or more exclusion criteria and 29 declined to participate; we enrolled the remaining 220 patients (figure 1). Table 1 shows the baseline demographic and clinical characteristics of study participants. 93 (96%) patients in the azithromycin group and 87 (95%) in the vitamin C group reported taking at least five of the six study drug capsules (p=0·7).

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Figure 1: Trial profile


Characteristic

Azithromycin

Vitamin C

 

(n=112)

(n=108)

Demography

 

 

Mean (range) age, years

47 (20-88)

44 (18-80)

Men

55 (49%)

45 (42%)

Women

57 (51%)

63 (58%)

Race

African American/Black

71 (63%)

76 (70%)

Hispanic/Latino

16 (14%)

14 (13%)

Asian

14 (13%)

9 (8%)

Other

11 (10%)

9 (8%)

Clinical

Median (10th, 90th percentiles)

5 (3, 10)

4 (3, 10)

duration of cough, days

Median (10th, 90th percentiles)

37·0 (36·3, 37·7)

37·0 (36·3, 37·8)

temperature, ºC

Wheezing

15 (13%)

11 (10%)

Fine crackles

4 (4%)

1 (1%)

Coarse crackles

1 (1%)

1 (1%)

Purulent nasal discharge

8 (7%)

8 (7%)

Exudates of tonsils or pharynx

0

0

Smoking status

 

 

Ever

66 (59%)

59 (55%)

Current

43 (38%)

37 (34%)

History

 

 

Cocaine or heroin use

18 (16%)

13 (12%)

Childhood asthma

3 (3%)

5 (5%)

ACE inhibitor* use for ge30 days

5 (5%)

3 (3%)

Diagnoses at study entry

 

 

Upper respiratory tract infection

20 (18%)

12 (11%)

Rhinitis

2 (2%)

10 (9%)

Diabetes mellitus

5 (5%)

3 (3%)

Influenza

1 (1%)

3 (3%)

Congestive heart failure

1 (1%)

1 (1%)

Gastro-oesophageal reflux

1 (1%)

0

Sarcoidosis‡

1 (1%)

0

Data are number of participants unless otherwise stated. *Use of an angiotensin-converting-enzyme inhibitor for at least 30 days. Patients recently started on these drugs (within 30 days) were excluded before randomisation. †All enrolled patients were diagnosed by an attending physician as having acute bronchitis, although some had other concurrent diagnoses. ‡Sarcoidosis, along with other chronic lung diseases, was a reason for exclusion, but one patient with sarcoidosis was nevertheless enrolled and randomised and therefore included in data analysis.

Table 1: Demographic and clinical characteristics of the 220 participants at baseline


On day 7, the proportion of participants who guessed they were taking azithromycin was similar in the azithromycin and vitamin C groups (34 of 97 [35%] vs 36 of 92 [39%], p=0·6). We unmasked treatment assignment before the end of follow-up for two patients (both in the vitamin C group) at the request of their treating physicians. In one of these patients, pneumonia was subsequently diagnosed because infiltrates were seen on chest radiograph and successfully treated on an outpatient basis with a quinolone antibiotic. The other patient improved without any additional treatment. The azithromycin and vitamin C groups did not differ significantly in their crude or adjusted mean health-related quality-of-life scores on day 3 or day 7 (p>0·2; multivariate ANCOVA with two repeated measures; table 2 and figure 2). The rate of improvement was the same for both groups (p=0·3). There was no interaction between baseline health-related quality-of-life score and treatment effect (p>0·3).


 

Azithromycin (n=97)

Vitamin C (n=92)

Difference vitamin C-azithromycin (95% CI)*

p

Day 1 baseline QOL (summary score)

2·9 (1·2)

2·6 (1·2)

-0·3 (-0·6 to 0·03)

0·07

Day 3 return to usual activities

64/96 (67%)

58/92 (63%)

4% (-10% to 17%)

0·6

Day 3 QOL (summary score)

1·4 (1·1)

1·7 (1·1)

0·3 (-0·03 to 0·55)§

0·08

Day 3 QOL domain

Activity limitations

1·7 (1·5)

2·1 (1·5)

0·4 (0 to 0·8)

0·05

Cough-related problems

1·4 (1·1)

1·6 (1·1)

0·2 (-0·1 to 0·5)

0·16

General symptoms

1·4 (1·3)

1·5 (1·4)

0·1 (-0·2 to 0·5)

0·4

Emotional functioning

1·1 (1·2)

1·3 (1·3)

0·2 (-0·1 to 0·6)

0·15

Day 7 return to usual activities

86/97 (89%)

82/92 (89% )

0·5% (-9% to 10%)

>0·9

Day 7 QOL summary score

0·9 (0·76)

0·9 (0·8)

0·03 (-0·20 to 0·26)

0·8

Day 7 QOL domain

Activity limitations

0·9 (0·9)

1·1 (1·1)

0·2 (-0·1 to 0·5)

0·2

Cough-related problems

0·9 (0·8)

0·9 (0·9)

0·01 (-0·2 to 0·3)

0·9

General symptoms

0·8 (0·9)

0·8 (0·9)

-0·06 (-0·3 to 0·2)

0·6

Emotional functioning

0·7 (1·0)

0·8 (1·1)

0·06 (-0·2 to 0·3)

0·7

*Differences in health-related quality of life on day 3 and day 7 are adjusted for baseline scores on day 1 (ANCOVA). Differences for specific domains of quality of life are adjusted for the domain-specific scores on day 1. A positive value for the difference means that there was a greater improvement in the azithromycin group. A difference of 0·5 points is taken to be the smallest important difference. †Fisher's exact test was used to compare the proportions in each group who had returned to usual activities on days 3 and 7. All other p values are based on ANOVA (day 1) or ANCOVA (days 3 and 7). ‡Mean (SD). §A difference of 0·3 points on day 3 represents a change from 2=somewhat troubled to 1=hardly troubled at all for one in three of the symptoms or activities addressed in the questionnaire (if the scores for the other items remain unchanged).

Table 2: Baseline and follow-up results for the primary and secondary outcomes: mean health-related quality-of-life (QOL) scores and the proportions who had returned to usual activities on day 3 and day 7


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Figure 2: Boxplots of the baseline and follow-up results for the primary outcome: health-related quality-of-life scores

Boxes extend from the 25th to the 75th percentile, the black horizontal line=median score. Whiskers extend to the most extreme value or to 1·5 times IQR, whichever is closer. Small open circles=outliers.

One patient in the vitamin C group was diagnosed with pneumonia during follow-up, compared with none in the azithromycin group. No patient required hospital admission during the study period.

The measurement of health-related quality of life was internally consistent, since Cronbach's alphawas greater than 0·92 for each of the 3 days on which it was measured (baseline, day 3, and day 7). The measure was also responsive to change; the average change in score over 7 days was roughly 2 points, equivalent to more than 1·5 SDs of the baseline score.

The effects of treatment within specific domains of health-related quality of life approached clinical and statistical significance on day 3 but not on day 7. On day 3, the azithromycin group was less troubled doing daily activities and less troubled with cough and cough-related problems than the vitamin C group (table 2), but the between-group differences were less than 0·5, the smallest clinically important difference. By day 7, however, differences between groups for all domains of health-related quality of life were smaller and all CI excluded any clinically important difference. For both the activity limitation domain and the cough domain, there was a greater treatment effect among the most troubled patients, although the statistical test for interaction was not significant (p>0·2).

The azithromycin and vitamin C groups did not differ significantly in the proportion who had returned to their usual activities at work, home, or school by day 3 or by day 7 (table 2, figure 3). By day 7, five patients in the azithromycin group and four in the vitamin C group had made a second visit to a physician because they were not feeling better.

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Figure 3: Cumulative proportion of patients who had returned to their usual daily activities

These results are a summary of four sources of data: day 1 face-to-face interview (baseline), day 3 and day 7 telephone interviews ("Have you returned to your usual activities at work, home, or school?" If yes: "When was that?"), and a patient's symptom diary (returned by mail at the end of the follow-up period).

Among the participants contacted on day 3, 18 of 96 (19%) in the azithromycin group reported adverse effects from study medications, compared with 19 of 92 (21%) in the vitamin C group. The most common complaints were diarrhoea (nine vs seven) and nausea (seven vs three). Four participants had stopped taking the albuterol inhaler by the time of the interview on day 3 because of perceived adverse effects, and an additional 14 had stopped because they felt sufficiently better.

On day 7, perceived adverse effects were reported by 24 of 97 (25%) in the azithromycin group and 19 of 92 (21%) in the vitamin C group (p>0·2). The most commonly reported adverse effects on day 7 were diarrhoea (11 vs six) and nausea (six vs four). Only three participants reported that they stopped the study drug because of perceived adverse effects; all three were in the vitamin C group.

The albuterol inhaler was considered effective by 81%, ineffective by 10%, and of uncertain value by 9%. There were no differences between study groups. By day 7, 84 (44%) of the 189 patients reported still using the inhaler; 11 (6%) had stopped using it because of adverse effects, three (2%) because of perceived ineffectiveness, 64 (34%) because they were sufficiently better, and 27 (14%) for other reasons.

Although we did an intention-to-treat analysis of all available participants, 15 patients in the azithromycin group and 16 in the vitamin C group were not available at follow-up. We therefore undertook further analyses to assess the sensitivity of our results to various assumptions about the missing data. The 31 patients lost to follow-up were more likely than those interviewed at day 7 to have a baseline respiratory rate of 20 per min or greater (odds ratio 2·9), a baseline self-report of cocaine or heroin use (2·7), and a lower (less troubled) baseline quality-of-life score (0·7; each p<0·05 in a multivariate model). There were no differences by study group. We repeated the analysis of our primary endpoint with all 220 study participants with three different methods to impute missing values: the last value carried forward method; a best-case scenario for azithromycin; and a worst-case scenario for azithromycin. The point estimates for the main outcome were 0·1, 0·4, and -0·2 for the three methods. Since the three point estimates were within 0·5 points, the smallest clinically important difference, the study's conclusions were not considered sensitive to the method for dealing with loss to follow-up.
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Discussion

These results show that azithromycin is no more effective than low-dose vitamin C for treatment of acute bronchitis. Given the lack of evidence that low-dose vitamin C is beneficial, we conclude that azithromycin is ineffective and should not be prescribed for patients with acute bronchitis.

Our study improves on the previous evidence in several ways. It measured the clinical outcomes most relevant to patients: health-related quality of life and return to usual daily activities. Our measure of disease-specific health-related quality of life was adapted from validated instruments used for other respiratory illnesses29-31,34 and was assessed reliably with a-priori definitions of clinical significance. Our eligibility criteria kept to a minimum diagnosis misclassification bias;5 only one of 108 patients in the control group required antibiotics for pneumonia (apparently misdiagnosed as acute bronchitis on study entry). Patients in both groups received intensive symptomatic treatment, including inhaled bronchodilators.5,28 Finally, we studied a widely prescribed, newer agent, the infrequent side-effects of which mean not only that it allows a "best case" for antibiotic therapy to be investigated but also that it protects concealment of study drug allocation.5 Indeed, our exit interviews confirmed that patients did not know whether or not they had received the antibiotic. These features of our study strengthen its internal and external validity.

The rate of improvement was more rapid among our patients than in other studies,38-40 perhaps because the range of illness was milder (shorter mean duration of cough at presentation and fewer patients with abnormal chest signs) or because all patients received aggressive symptomatic therapy with inhaled bronchodilators.5,28,

The most comprehensive meta-analysis of antibiotics for acute bronchitis18 concluded that antibiotics decrease cough but at the expense of drug side-effects. Although no previous trial has tested azithromycin or measured health-related quality of life, four other studies measured the related endpoint of return to usual activities.18 Our results for this outcome can be evaluated in the context of the other published evidence by updating the meta-analysis (figure 4). The pooled difference of 2% favours antibiotics, but the aggregate data are compatible with a range of values that include both benefit (up to 6%) and harm (up to 3%) from antibiotics.

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Figure 4: Meta-analysis of randomised trials that assess the difference in the proportion of patients who have returned to their usual daily activities in antibiotic and control groups

For each study, the difference in the proportion of patients who have returned to their usual activities at follow-up (control group minus the antibiotic group) is represented by a thin vertical line, which transects a horizontal open rectangle depicting the 95% CI. Results less than zero favour the antibiotic group. The solid diamonds are proportional to the studies' sample sizes. The pooled results and 95% CI are described by the final (open) diamond. The DerSimonian-Laird (DL) random-effects model of risk differences was used to calculate the summary point estimate for the difference in proportions between treatment.

Our findings do not prove that azithromycin provides absolutely no benefit to patients with acute bronchitis. The 95% CI for differences between azithromycin and vitamin C on study day 3 included 0·5 for the summary quality-of-life score and for each of its component domains. Although none of these effects persisted on day 7, our results do not exclude the possibility that azithromycin may provide transient benefit of little clinical significance to patients with acute bronchitis. In addition, our sample size did not permit precise subgroup comparisons to analyse whether azithromycin is effective for selected subgroups (for example, elderly patients with severe symptoms). We discontinued enrolment when our independent data-monitoring and safety committee, unaware of study group identity, concluded that the likelihood of showing a clinically meaningful treatment effect with a larger sample was too small to warrant continuation of the study. Notwithstanding these reservations, our findings shift the burden of proof to proponents of antibiotic therapy for patients with acute bronchitis.

Our study is limited in two important ways. First, although our follow-up rate was similar in both study groups, 17% (31 of 220) of enrolled patients did not complete the full evaluation of all study outcomes. None of these patients was admitted to our hospital, none was seen in the emergency department or in one of the clinics, and none died within the month after the study period, but we cannot be certain that none had an adverse event and either did not seek medical attention or sought attention elsewhere. Second, our study shows that azithromycin is ineffective, but it does not identify the best treatment for acute bronchitis. Further studies are needed to identify more effective management strategies,41,42 because many patients with acute bronchitis require their physicians to "do something".2,3,43 Those very reasonable demands should be met with rigorous clinical trials, not defensive use of ineffective antibiotics.

Contributors

Arthur Evans, Shahid Husain, and Lakshmi Durairaj designed the study, coordinated data collection, interpreted results, and wrote the report. Laura Sadowski helped design the study, develop the data-collection instruments, interpret results, and prepare the report. Arthur Evans and Yue Wang analysed the data. Marjorie Charles-Damte supervised recruitment and assessment of patients and helped design the study, develop the data-collection instruments, interpret results, and prepare the report.

Conflict of interest statement

None declared.

Acknowledgments

We thank Brendan Reilly and Robert Weinstein for their help in initiating the study, monitoring its quality and safety, interpreting results, and writing the report; and the staff and patients of the Ambulatory Screening Clinic, Cook County Hospital. The Department of Medicine of Cook County Hospital funded the project from internal funds.
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Edward E. Rylander, M.D.

Diplomat American Board of Family Practice.

Diplomat American Board of Palliative Medicine.