Literature DB >> 35141318

The impact of long-term azithromycin on antibiotic resistance in HIV-associated chronic lung disease.

Regina E Abotsi1,2, Mark P Nicol3, Grace McHugh4, Victoria Simms4,5, Andrea M Rehman5, Charmaine Barthus6, Lucky G Ngwira7,8, Brenda Kwambana-Adams9, Robert S Heyderman9, Jon Ø Odland10,11,12, Rashida A Ferrand4,13, Felix S Dube1.   

Abstract

Selection for resistance to azithromycin (AZM) and other antibiotics such as tetracyclines and lincosamides remains a concern with long-term AZM use for treatment of chronic lung diseases (CLD). We investigated the impact of 48 weeks of AZM on the carriage and antibiotic resistance of common respiratory bacteria among children with HIV-associated CLD. Nasopharyngeal (NP) swabs and sputa were collected at baseline, 48 and 72 weeks from participants with HIV-associated CLD randomised to receive weekly AZM or placebo for 48 weeks and followed post-intervention until 72 weeks. The primary outcomes were prevalence and antibiotic resistance of Streptococcus pneumoniae (SP), Staphylococcus aureus (SA), Haemophilus influenzae (HI) and Moraxella catarrhalis (MC) at these timepoints. Mixed-effects logistic regression and Fisher's exact test were used to compare carriage and resistance, respectively. Of 347 (174 AZM, 173 placebo) participants (median age 15 years (IQR 13-18), female 49%), NP carriage was significantly lower in the AZM (n=159) compared to placebo (n=153) arm for SP (18% versus 41%, p<0.001), HI (7% versus 16%, p=0.01) and MC (4% versus 11%, p=0.02); SP resistance to AZM (62% (18 out of 29) versus 13% (8 out of 63), p<0.0001) or tetracycline (60% (18 out of 29) versus 21% (13 out of 63), p<0.0001) was higher in the AZM arm. Carriage of SA resistant to AZM (91% (31 out of 34) versus 3% (1 out of 31), p<0.0001), tetracycline (35% (12 out of 34) versus 13% (4 out of 31), p=0.05) and clindamycin (79% (27 out of 34) versus 3% (1 out of 31), p<0.0001) was also significantly higher in the AZM arm and persisted at 72 weeks. Similar findings were observed for sputa. The persistence of antibiotic resistance and its clinical relevance for future infectious episodes requiring treatment needs further investigation.
Copyright ©The authors 2022.

Entities:  

Year:  2021        PMID: 35141318      PMCID: PMC8819245          DOI: 10.1183/23120541.00491-2021

Source DB:  PubMed          Journal:  ERJ Open Res        ISSN: 2312-0541


Introduction

Long-term azithromycin (AZM) therapy is commonly used to manage chronic lung diseases (CLDs), including cystic fibrosis [1], non-cystic bronchiectasis [2], COPD [3] and asthma [4]. Evidence suggests that AZM may improve lung function and survival, and reduce frequency of acute pulmonary exacerbations, antibiotic administration and hospitalisation in some of these CLDs. These beneficial effects may be mediated by the dual antimicrobial and immunomodulatory properties of AZM [3]. However, AZM use can promote antibiotic resistance in both commensal and potentially pathogenic bacteria in the respiratory tract [1-4], which can be further spread to untreated individuals. AZM can also promote resistance to other antibiotics including tetracyclines, lincosamides and streptogramins [5]. This is mediated by alteration of drug targets shared by other antibiotics (lincosamides and streptogramins) and co-location of resistance genes on the same mobile genetic elements (tetracyclines) [5]. In a meta-analysis of CLD patients (COPD, cystic fibrosis, bronchiectasis and asthma) who received long-term AZM, the risk of bacterial resistance increased 2.7-fold, while bacterial colonisation risk was halved in the AZM group compared to placebo [6]. None of the trials included in this meta-analysis reported on the persistence of the microbiological effect post-intervention and none included African children or patients with HIV-related CLD. Two later studies that did investigate the persistence of the AZM's microbiological effect post-intervention could not provide robust conclusions due to few participants [2, 7] (mean of 25 per trial arm), short follow-up period (4 weeks for one study) [7] and variable timepoints for post-intervention samples [2]. Children with HIV are at high risk of respiratory tract infections. Recent studies have shown that these children also have a high prevalence of CLD, despite antiretroviral therapy (ART) [8]. The clinical presentation is typically that of chronic cough, reduced exercise tolerance, hypoxia and reduced lung function [8]. Up to a third of these children with HIV included in African studies have CLD with constrictive obliterative bronchiolitis being the dominant cause [8]. As there are currently no treatment guidelines, we conducted a double-blinded, placebo-controlled randomised trial that showed that 48 weeks of once-weekly AZM reduced acute respiratory exacerbations and all-cause hospitalisations in African children with HIV-associated CLD [9]. The microbiological sequelae of long-term AZM have not been previously investigated in a paediatric population with HIV-associated CLD. To address the potential for selection of antibiotic-resistant bacteria in this patient population, we investigated the impact of long-term AZM therapy on the carriage and antibiotic resistance of Streptococcus pneumoniae (SP), Staphylococcus aureus (SA), Haemophilus influenzae (HI) and Moraxella catarrhalis (MC) at 48 weeks (end of therapy) and 72 weeks from randomisation. We also assessed factors associated with carriage and resistance.

Methods

The main results of the BREATHE trial (ClinicalTrials.gov Identifier: NCT02426112) [9] are reported elsewhere. Briefly, individuals with HIV-associated CLD aged 6–19 years and taking ART for at least 6 months were enrolled from HIV outpatient clinics in Harare, Zimbabwe and Blantyre, Malawi. CLD was defined as forced expiratory volume in 1 s (FEV1) z-score <−1.0 with no reversibility (<12% improvement in FEV1 after 200 µg of salbutamol inhaled using a spacer). Participants were individually randomised to receive weight-based dosing of oral AZM (10 to 19.9 kg, 250 mg; 20 to 29.9 kg, 500 mg; 30 to 39.9 kg, 750 mg; and 40 kg or more, 1250 mg) or placebo once-weekly up to 48 weeks, with follow-up for a further 24 weeks post-intervention. Adherence to trial medication was defined as not missing, on average, more than two of the 12 dispensed doses, as assessed by pill count, splitting time in the study into four 12-week periods, according to visit and study medication dispensing schedule [9]. Nasopharyngeal (NP) swabs and sputa were collected from participants at baseline, 48- and 72-week visits. Details of sample collection, handling and transport, culture and antibiotic susceptibility testing (AST) for SP, SA, HI and MC have previously been described [10]. Briefly, susceptibility to AZM, tetracycline and cotrimoxazole was conducted for all four bacterial species using the Kirby–Bauer disk diffusion method. Additionally, AST was done for SP to oxacillin, SA to clindamycin, cefoxitin and penicillin, HI to amoxicillin-clavulanate, cefuroxime and ampicillin, and MC to amoxicillin-clavulanate. Inducible clindamycin resistance was assessed as previously reported [11]. SA susceptibility to cefoxitin was tested as a surrogate for methicillin resistance. AST was conducted in accordance with the 2018 Clinical and Laboratory Standards Institute guidelines and breakpoints [12].

Outcomes

The primary outcomes for this study were the difference in the prevalence of SP, SA, HI and MC and their AZM-resistant strains between trial arms at AZM cessation (48 weeks). Secondary outcomes included the differences in the carriage and AZM resistance between trial arms at 72 weeks. We also investigated the effect of long-term AZM on resistance to the additional antibiotics tested at both 48 and 72 weeks. The clinical and socio-demographic factors associated with the carriage of bacteria and AZM-resistant isolates at 48 and 72 weeks, and the effect of adherence to AZM on carriage and resistance (in the AZM arm only) were also assessed.

Statistical analyses

Statistical analyses were conducted in R software version 3.6.2. Bacterial carriage and antibiotic resistance were reported as percentages of total samples cultured and tested for resistance for each trial arm. Fisher's exact test and Mann–Whitney test were used to compare proportions and continuous variables, respectively. Comparisons of bacterial carriage between trial arms at all visits were conducted using mixed-effects logistic regression models, including a random effect for participants, and reported as adjusted odds ratios with 95% confidence intervals in Stata version 15 (StataCorp, College Station, TX, USA). Models were adjusted for site, sex, age category, HIV viral load at baseline, the season of sampling and visit. A trial arm by time interaction term was included in models to compare trial arms at 48 and 72 weeks, without a trial arm main effect term [13].

Ethical approval and consent to participate

Approval for the main trial was obtained from local regulatory bodies at the study sites and the research ethics committees of the London School of Hygiene and Tropical Medicine, the University of Cape Town and the Medical and Health Research in Norway. This sub-study was approved by the Human Research Ethics Committee of the University of Cape Town (HREC/REF: 092/2019). Written informed consent and age-appropriate assent were provided by guardians and participants under 18 years, respectively. Older participants (≥18 years) consented independently.

Results

Between June 15, 2016, and September 4, 2018, 347 participants (173 AZM and 174 placebo arm) were enrolled and randomised to AZM or placebo (figure 1). Eleven participants who were later found to not meet the inclusion criteria for FEV1 were included in this report. At baseline, participants had a median age of 15 years (IQR 13–18) with slightly more males than females (51% (177 out of 347) versus 49% (170 out of 347)). The majority of participants were on long-term cotrimoxazole prophylaxis (90% (313 out of 347)) (table 1). NP and sputum samples were obtained from about 97% of all participants at baseline and 48 weeks and 86% at 72 weeks (figure 1).
FIGURE 1

Flowchart of number of samples collected at each visit. ART: antiretroviral therapy; AZM: azithromycin; NP: nasopharyngeal.

TABLE 1

Baseline characteristics of study participants

Characteristics Details AZM arm Placebo arm
Subjects n 173174
Demographic characteristics
 Age yearsMedian (IQR)14.7 (12.6–16.8)15.8 (13.0–18.1)
 SexFemale, n (%)80 (46.2)90 (51.7)
 Currently in schooln (%)#146 (84.5)139 (79.9)
 SiteZimbabwe, n (%)120 (69)121 (70)
Malawi, n (%)53 (31)53 (30)
HIV characteristics
 Age years at diagnosis yearsMedian (IQR)7.2 (3.5–9.9)8.3 (5.2–11.1)
 Duration on ART yearsMedian (IQR)5.9 (3.8–9.0)6.4 (3.9–8.2)
 Age at ART initiation yearsMedian (IQR)8.2 (5.0–11.2)8.9 (6.7–11.6)
 HIV viral load log 10 copies·mL−1Median (IQR)2.5 (1.6–4.0)2.7 (1.7–4.1)
 HIV viral load suppression<1000 copies·mL−1, n (%)102 (59.0)94 (54.0)
 CD4 cell count/mm3Median (IQR)601 (417–784)550 (325–779)
 CD4 count categories200+ cells/mm3, n (%)157 (91)156 (89.7)
<200 cells/mm3, n (%)16 (9)18 (10.3)
 Antiretroviral regimenNNRTI, n (%)#127 (73)131 (75)
PI, n (%)#46 (27)42 (25)
Lung function
 FEV1 z-scoreMedian (IQR)−1.94 (−2.5 – −1.4)−2.0 (−2.4 – −1.5)
Clinical characteristics
 Weight-for-age z-scoreMedian (IQR)−2.2 (−3.0 – −1.4)−1.9 (−2.8 – −1.2)
 Underweightn (%)98 (56.6)83 (47.7)
 Height-for-age z-scoreMedian (IQR)−2.1 (−3.0 – −1.4)−1.9 (−2.6 – −1.3)
 Stuntedn (%)95 (54.9)80 (46.0)
 History of TBn (%)#58 (33.57)39 (22.4)
 Admitted for chest problems in last yearn (%)3 (1.7)3 (1.7)
 Current coughn (%)#13 (7.5)18 (10.3)
 Coughing up sputumn (N)+7 (43)17 (46)
 MRC Dyspnoea Score1, n (%)89 (51)96 (55)
2, n (%)64 (37)62 (36)
3, n (%)12 (7)11 (6.3)
4, n (%)7 (4)4 (2.3)
5, n (%)1 (1)1 (1)
 Cotrimoxazole prophylaxisn (%)157 (92)#156 (90)

AZM: azithromycin; IQR: interquartile range; NNRTI: nonnucleoside reverse transcriptase inhibitor; PI: protease inhibitor; FEV1: forced expiratory volume in 1 s, participants with missing responses are excluded from that variable; TB: tuberculosis; MRC: Medical Research Council. #Missing value: Currently attending school – n=1 AZM arm; Antiretroviral regimen, n=1, Placebo arm; History of TB – n=1, AZM arm; Current cough – n=1, AZM arm; Cotrimoxazole prophylaxis – n=2, AZM arm; ¶: z-score <−2; +: only asked for those with current cough.

Flowchart of number of samples collected at each visit. ART: antiretroviral therapy; AZM: azithromycin; NP: nasopharyngeal. Baseline characteristics of study participants AZM: azithromycin; IQR: interquartile range; NNRTI: nonnucleoside reverse transcriptase inhibitor; PI: protease inhibitor; FEV1: forced expiratory volume in 1 s, participants with missing responses are excluded from that variable; TB: tuberculosis; MRC: Medical Research Council. #Missing value: Currently attending school – n=1 AZM arm; Antiretroviral regimen, n=1, Placebo arm; History of TB – n=1, AZM arm; Current cough – n=1, AZM arm; Cotrimoxazole prophylaxis – n=2, AZM arm; ¶: z-score <−2; +: only asked for those with current cough. Participants randomised to receive AZM were less likely to carry SP (aOR 0.2, 95% CI 0.1–0.4, p<0.0001), HI (aOR 0.3, 95% CI 0.1–0.8, p=0.01) or MC (aOR 0.2, 95% CI 0.1–0.8, p=0.02) (table 2) in their NP at 48 weeks than placebo. The carriage of any of the four species was lower in the AZM arm at 48 weeks (aOR 0.4, 95% CI 0.2–0.7, p=0.001), but not at 72 weeks, compared to placebo (table 2). These observations were mirrored in the sputum samples (table 2).
TABLE 2

Nasopharyngeal and sputum bacterial carriage at baseline, 48 weeks and 72 weeks in participants

Baseline 48 weeks 72 weeks
AZM Placebo AZM Placebo aOR (95% CI) p-values AZM Placebo aOR (95% CI) p-values
Nasopharyngeal swabs
 Subjects n168#171#159153118+105+
Streptococcus pneumoniae74 (44)83 (49)29 (18)64 (41)0.2 (0.1–0.4)<0.000141 (35)38 (36)0.9 (0.4–1.7)0.681
Staphylococcus aureus45 (27)36 (21)34 (21)31 (20)1.1 (0.5–2.2)0.88223 (19)26 (25)0.7 (0.3–1.7)0.433
Haemophilus influenzae21 (13)18 (11)11 (7)24 (16)0.3 (0.1–0.8)0.01113 (11)10 (10)1.0 (0.4–2.8)0.964
Moraxella catarrhalis26 (15)21 (12)7 (4)17 (11)0.3 (0.1–0.8)0.0159 (8)7 (7)0.9 (0.3–2.9)0.848
 Bacterial carriage (any)107 (64)112 (68)63 (43)86 (60)0.4 (0.2–0.7)0.00161 (53)63 (60)0.6 (0.3–1.2)0.135
Sputum
 Subjects n166§164§148ƒ143ƒ116##106##
Streptococcus pneumoniae43 (26)38 (23)17 (11)34 (24)0.4 (0.2–0.8)0.00820 (17)26 (25)0.6 (0.3–1.2)0.122
Staphylococcus aureus51 (31)46 (28)46 (31)37 (26)1.4 (0.7–2.8)0.32340 (34)37 (34)1.1 (0.5–2.3)0.788
Haemophilus influenzae4 (2)7 (4)3 (2)19 (13)0.1 (0.0–0.4)0.0026 (5)9 (8)0.5 (0.1–1.6)0.221
Moraxella catarrhalis15 (9)15 (9)4 (3)15 (10)0.2 (0.1–0.7)0.0087 (6)7 (7)0.9 (0.3–2.8)0.882
 Bacterial carriage (any)82 (49)79 (48)62 (42)77 (54)0.6 (0.3–1.0)0.05656 (48)60 (57)0.8 (0.4–1.4)0.395

Data expressed as n (%) unless otherwise indicated. AZM: azithromycin; aOR: adjusted odds ratio. #: samples not collected from five and three participants in AZM and placebo group at baseline respectively; ¶: samples not collected from five and seven participants in AZM and placebo group at 48 weeks respectively; +: samples not collected from 16 and 15 participants in AZM and placebo group at 72 weeks respectively; §: sputum samples were not collected from seven and 10 participants in AZM and placebo group at baseline respectively; ƒ: sputum samples not collected from 16 and 17 participants in AZM and placebo group at 48 weeks respectively; ##: sputum samples not collected from 18 and 14 participants in AZM and placebo group at 72 weeks respectively.

Nasopharyngeal and sputum bacterial carriage at baseline, 48 weeks and 72 weeks in participants Data expressed as n (%) unless otherwise indicated. AZM: azithromycin; aOR: adjusted odds ratio. #: samples not collected from five and three participants in AZM and placebo group at baseline respectively; ¶: samples not collected from five and seven participants in AZM and placebo group at 48 weeks respectively; +: samples not collected from 16 and 15 participants in AZM and placebo group at 72 weeks respectively; §: sputum samples were not collected from seven and 10 participants in AZM and placebo group at baseline respectively; ƒ: sputum samples not collected from 16 and 17 participants in AZM and placebo group at 48 weeks respectively; ##: sputum samples not collected from 18 and 14 participants in AZM and placebo group at 72 weeks respectively. At 48 weeks, the proportion of SP (62% (18 out of 29) versus 13% (8 out of 63), p<0.0001) or SA (91% (31 out of 34) versus 3% (1 out of 31), p<0.0001) isolates from the NP that were AZM-resistant was higher in the AZM arm than placebo (figures 2 and 3). However, at 72 weeks, there were no differences in the proportion of AZM-resistant strains, except for AZM-resistant SA (45% (9 out of 20) in the AZM arm versus 4% (1 out of 26) in the placebo arm, p<0.001) (figure 3). Overall AZM resistance (resistance in any of the four bacterial species) was higher in the AZM arm at 48 weeks (30% (45 out of 154) versus 7% (10 out of 146), p<0.0001) and remained so at 72 weeks (17% (17 out of 102) versus 7% (7 out of 90), p<0.0001) relative to placebo. The above observations were mirrored in sputum samples (figures 2 and 3).
FIGURE 2

Antibiotic resistance profiles of Streptococcus pneumoniae isolated from the nasopharyngeal (NP) and sputum samples at baseline (0 week), 48 weeks and 72 weeks. The x- and y-axes are sampling timepoints and percentage resistance, respectively. Number of isolates from NP samples at each timepoint for azithromycin (AZM) versus placebo were: baseline (71 versus 81), 48 weeks (29 versus 63), 72 weeks (37 versus 37). In the sputum, baseline (41 versus 36), 48 weeks (16 versus 32), 72 weeks (20 versus 26). Oxacillin used as a surrogate for penicillin.

FIGURE 3

Antibiotic resistance profiles of Staphylococcus aureus isolated from the nasopharyngeal and sputum samples at baseline (0 week), 48 weeks and 72 weeks. The x- and y-axes are sampling timepoints and percentage resistance, respectively. Number of isolates from nasopharyngeal (NP) samples at each timepoint for azithromycin (AZM) versus placebo were: baseline (44 versus 36), 48 weeks (34 versus 31), 72 weeks (20 versus 26). In the sputum, baseline (49 versus 45), 48 weeks (45 versus 37), 72 weeks (40 versus 37).

Antibiotic resistance profiles of Streptococcus pneumoniae isolated from the nasopharyngeal (NP) and sputum samples at baseline (0 week), 48 weeks and 72 weeks. The x- and y-axes are sampling timepoints and percentage resistance, respectively. Number of isolates from NP samples at each timepoint for azithromycin (AZM) versus placebo were: baseline (71 versus 81), 48 weeks (29 versus 63), 72 weeks (37 versus 37). In the sputum, baseline (41 versus 36), 48 weeks (16 versus 32), 72 weeks (20 versus 26). Oxacillin used as a surrogate for penicillin. Antibiotic resistance profiles of Staphylococcus aureus isolated from the nasopharyngeal and sputum samples at baseline (0 week), 48 weeks and 72 weeks. The x- and y-axes are sampling timepoints and percentage resistance, respectively. Number of isolates from nasopharyngeal (NP) samples at each timepoint for azithromycin (AZM) versus placebo were: baseline (44 versus 36), 48 weeks (34 versus 31), 72 weeks (20 versus 26). In the sputum, baseline (49 versus 45), 48 weeks (45 versus 37), 72 weeks (40 versus 37). The proportion of SP and SA in the NP that were tetracycline-resistant was also higher at 48 weeks in the AZM arm than placebo (figures 2 and 3, supplementary table S1). Clindamycin resistance in SA was higher in the AZM arm versus placebo at 48 weeks (79% (27 out of 34) versus 3% (1 out of 31), p<0.0001) and remained higher at 72 weeks in the AZM arm compared to placebo (45% (9 out of 20) versus 0% (0 out of 26), p<0.0001) (figure 3, supplementary table S1). Carriage of methicillin-resistant SA remained low (6%) throughout the study in both trial arms (figure 3, supplementary table S1). Penicillin (oxacillin) resistance in SP was moderate and there was no difference between trial arms; however, penicillin-resistant SA was higher in AZM than placebo at 72 weeks (supplementary table S1). Cotrimoxazole resistance levels in SA remained high (∼69%), with no clear changes throughout the study period (supplementary table S1). There was no difference between the trial arms with HI and MC susceptibility to AZM, tetracycline, amoxicillin-clavulanate and cotrimoxazole (supplementary table S1, Figure S1–S2). There was a universal HI susceptibility to cefuroxime and ampicillin (supplementary table S1, Figure S1). The above observations were mirrored in sputum samples (figure 3, supplementary table S2, Figures S1–S2) except for tetracycline-resistant SP, which did not differ between trial arms at 48 weeks. Also, unlike in the NP, penicillin resistance in sputum SA was similar between trial arms at all visits (figure 3, supplementary table S2). Adherence to AZM was associated with reduced likelihood of sputum SA and overall bacterial carriage at 48 weeks (supplementary table S3). Adherence was not associated with the carriage of resistant bacteria (supplementary tables S4 and S5). The main factors associated with SP carriage were male sex (NP only) and placebo allocation (NP and sputum) at 48 weeks and age at 72 weeks (supplementary table S6). Similarly, factors associated with NP and sputum SA carriage were non-adherence to AZM (NP and sputum, supplementary table S7), viral load suppression (sputum) and season of sampling (supplementary table S7). Placebo allocation and non-adherence to AZM was associated with increased likelihood of AZM-resistant SP and SA carriage in the NP or sputum (supplementary tables S8 and S9).

Discussion

Our study shows that HIV-infected children with CLD established on ART and long-term cotrimoxazole prophylaxis, who received 48 weeks of AZM therapy, were significantly less likely to carry SP, HI and MC in their NP or sputum compared to placebo at the end of treatment. However, these participants were more likely to carry AZM and tetracycline-resistant SP and SA at 48 weeks. AZM-, clindamycin- and tetracycline-resistant SA remained more prevalent in participants in the AZM arm at 72 weeks. Our finding of reduced NP and sputum carriage of SP, HI and MC in response to long-term AZM therapy is consistent with previous studies [2, 6]. Similarly, the lack of an effect of long-term AZM therapy on SA carriage observed in our study was also reported in studies conducted in children with chronic suppurative lung disease in Australia and New Zealand [2], and cystic fibrosis in the Netherlands [14] and USA [3]. The reduction in SP, HI and MC prevalence in our study may be related to the almost universal susceptibility of these isolates to AZM at baseline or the consequence of improved alveolar macrophage phagocytic activity [15]. Phagocytosis is generally reduced in chronic lung conditions, especially COPD, but improves with AZM therapy [15]. A survey conducted from 2015 to 2018, the same time period as our study, reported a high SP carriage among children and adults in Malawi regardless of pneumococcal vaccination and HIV status [16]. Our finding that AZM reduced SP carriage may have important implications in reducing the risk of invasive SP disease as well as transmission. The lack of difference between trial arms in the carriage of SP, HI or MC at 72 weeks highlights that the antimicrobial effects of long-term AZM therapy may not be long-lasting. This is corroborated by reports from a randomised controlled trial of AZM among Indigenous Australian, Maori and Pacific Island children aged 1–8 years with chronic suppurative lung disease [2]. Long-term AZM therapy selected for AZM-resistant SP at the end of treatment. This is consistent with other studies that used AZM for both long- [1–3, 14, 17] and short-term [11, 18, 19] treatment periods. AZM resistance occurs soon after exposure, as evidenced by the recovery of resistant strains after a single AZM course or dose [11]. Previous studies revealed clonal expansion of existing resistant strains of SP following exposure to AZM [19]. Studies that involved mass AZM administration for trachoma also noted an increase in resistant SP, which resolved over time [20, 21]. Since the genetic changes that confer macrolide resistance may reduce the fitness of SP strains (their ability to compete with drug-susceptible strains), resistant SP strains were likely to have been displaced by susceptible strains once the antibiotic selective pressure was removed [2]. AZM use did not select for penicillin-resistant SP in our study. Although, we did not determine minimum inhibitory concentrations for the isolates, this non-selection of penicillin-resistant SP is consistent with previous studies that administered AZM for both short- [18] and long-term periods [2]. This is important as penicillins remain the first-line treatment for pneumococcal infections in sub-Saharan Africa. Although the proportion of AZM-resistant SA declined at 72 weeks, AZM-resistant SA isolates remained significantly more common in the AZM arm at this visit. In a cystic fibrosis clinic in the Netherlands, the occurrence of AZM-resistant SA was common enough to warrant discontinuation of long-term AZM therapy among cystic fibrosis patients [1]. In contrast, in Denmark, a low prevalence of SA in cystic fibrosis patients at baseline with a further reduction during treatment with AZM made increased macrolide resistance in SA clinically insignificant [17]. It is possible that the baseline prevalence of SA may influence the effect of long-term AZM therapy on resistance. Additionally, the differences in strength and frequency of dosing of AZM across studies may also contribute to the variations in the observed patterns of resistance. SA is an important pathogen in HIV-infected patients where it causes bacteraemia leading to endocarditis [22]. Staphylococcal bacteraemia is about 17 times more likely to occur in a hospitalised HIV-infected adult than a HIV-negative patient [22]. The increase in AZM-resistant SA which persist beyond 6 months post-AZM in our setting is therefore concerning. The increase in tetracycline (SP and SA) and clindamycin (SA only) resistance at 48 weeks is not surprising since mobile genetic elements that mediate resistance to macrolides co-carry genes that confer resistance to other antibiotics [23]. Of note, is the conjugative transposon Tn916-like element, which carries tet (tetracycline resistance) and erm genes [23]. The erm gene product modifies the bacterial ribosomal target site of macrolides, lincosamides (clindamycin) and streptogramin antibiotics, thereby conferring resistance. These transposons are found in both SP [23] and SA [24]; hence, the concurrent increase in resistance to macrolides, lincosamides and tetracyclines with AZM therapy in our study is expected [23]. These mobile genetic elements with multiple resistance genes can be shared between bacterial species and across genera, increasing the overall burden of drug resistance [25]. SP is the most common bacterial cause of community-acquired pneumonia globally [26]. Macrolide-resistant SP is a major concern in the USA and other parts of the world as macrolides have been the first drug of choice in monotherapy for adults for decades [27]. There have been multiple reports of clinical failures resulting from macrolide-resistant SP when patients were treated with macrolides [28]. However, the clinical relevance of macrolide-resistant SP based on AST has remained controversial [28]. This is fuelled by observations that although macrolide-resistant SP, as determined by AST, has been on the rise, an increase in clinical failures due to these isolates has not been observed as frequently as expected (the so-called “in vitro in vivo” paradox) [27]. One explanation for this discrepancy is that the current in vitro resistance testing methods may not accurately model the action of an antibiotic in the body during an infection [26]. During inflammation, for instance, the level of AZM increases substantially because of intracellular accumulation within macrophages and leukocytes at the site of infection [26]. Furthermore, the potent immunomodulatory properties of macrolides, which influence the resolution of respiratory infections, are not accounted for by the AST method [26]. Although macrolides are not the first-line treatment for SP and SA respiratory infections in Malawi and Zimbabwe (penicillin and tetracyclines are used in Malawi and cotrimoxazole and amoxicillin in Zimbabwe), macrolides are indicated where there is treatment failure following amoxicillin use or in combination with ceftriaxone for severe illness (Malawi). They are also indicated in cases with penicillin allergy or atypical pneumonia in both countries. For SA infections (including those at other body sites, such as skin and soft tissue infections), cloxacillin is the first-line antibiotic; however, clindamycin is indicated in penicillin hypersensitivity. Therefore, the clinical relevance of AZM-resistant SP and SA and clindamycin-resistant SA among study participants and their contacts should be further investigated. To address concerns about the transmission of AZM-resistant SA to untreated individuals, Tramper-Stranders et al. (2007) [29] compared the prevalence of AZM-resistant SA among cystic fibrosis patients on long-term AZM therapy and their household contacts. They found that although there was a higher AZM-resistant SA carriage among the cystic fibrosis patients (69.6%), carriage among household contacts (9.6%) was similar to the general population (6.3%) of the Netherlands. Furthermore, the transmission of resistant isolates from the patients to their household contacts could not be proved by genotyping, except for one household. This finding suggests that although the potential risk of transmission of AZM-resistant SA exists, the probability is low. However, this observation may be quite different in an African household. Taylor et al. [4, 30] showed that AZM's ability to reduce acute respiratory exacerbations is mediated by its capacity to reduce airway HI load, which is mirrored in our study. Our finding that AZM-resistant HI and MC strains were uncommon, and similar between trial arms at all visits, is consistent with previous clinical trials of long-term AZM therapy [2, 3]. However, other studies of long-term AZM observed an increase in AZM-resistant HI [1, 31] and MC [3, 31]. The discordance across studies in the observed patterns of HI and MC resistance may be explained by the differences in the dose and duration of AZM used. Also, relatively few isolates of both bacterial species were identified in many studies (including our own) and may have been underpowered to detect resistance in these species. Huang et al. [32] observed that acute respiratory exacerbations were associated with an increase in the relative abundance of the bacterial phylum Proteobacteria in patients with COPD. Antibiotic treatment reduced this relative abundance and was associated with resolution of symptoms. Broader changes in the airway microbiome, and not only in the specific bacterial species we measured, may modulate the effect of AZM in HIV-associated chronic lung disease. However, microbial dysbiosis may occur in other microbial niches, including the gut, following long-term AZM treatment, and the local and systemic consequences of such dysbiosis requires further study. Given concerns around the emergence of resistance with long-term AZM therapy, the use of newer macrolide-based drugs that have potent immunomodulatory activity without resistance-promoting antibacterial effect should be considered. Hodge et al. [33] investigated two new macrolides with limited antibacterial activity against SP, SA, MC and HI. They found that these drugs improve macrophage phagocytosis of bacteria and therefore reduce bacterial carriage and associated acute exacerbations of CLD [33]. The strengths of our study are that it was a double-blinded, individually randomised, placebo-controlled, multicentre study among children with HIV-associated CLD in sub-Saharan African, a previously under-studied population. The study also analysed the persistence of the microbiological effect of long-term AZM therapy 6 months post-intervention. Furthermore, we also demonstrated that long-term AZM promoted resistance to other antibiotics (tetracycline and clindamycin). Study limitations include the lack of genomic investigation to delineate the mechanisms underlying antibiotic resistance and determine SP and HI serotypes. Furthermore, 27% of participants’ outcomes could not be assessed at 72 weeks due to withdrawal, death and loss to follow-up. However, our findings at this later time point are consistent with previous findings [2]. We could not determine when SA resistance to AZM, tetracycline and clindamycin resolved because our study concluded at 72 weeks from randomisation. Another limitation is that the study was not adequately powered to conclude whether AZM induced resistance in HI and MC as the number of isolates recovered from trial participants was low. We did not perform quantitative assessment of minimum inhibitory concentrations (MICs) of antibiotics, which may have identified increases in MICs that did not lead to changes in resistance category. Long-term AZM therapy reduced the prevalence of SP, HI and MC in African children with HIV-associated CLD while increasing the carriage of AZM and tetracycline-resistant SP and SA at 48 weeks. Inducible clindamycin resistance also increased in SA at 48 weeks. However, these microbiological effects resolved 6 months post-intervention, except for AZM, tetracycline and clindamycin resistance in SA. Further studies are needed to determine whether resistance in SA persists beyond 72 weeks. The benefit of reduced acute exacerbations of HIV-associated CLD shown in this study [9] should be weighed against the largely temporary acquisition of antimicrobial resistance to AZM as well as other antibiotics. Please note: supplementary material is not edited by the Editorial Office, and is uploaded as it has been supplied by the author. Supplementary tables 00491-2021.SUPPLEMENT Figure S1 Haemophilus influenzae 00491-2021.figureS1haem Figure S2 Moraxella catarrhalis 00491-2021.figureS1moraxella
  32 in total

1.  Low-dose azithromycin improves phagocytosis of bacteria by both alveolar and monocyte-derived macrophages in chronic obstructive pulmonary disease subjects.

Authors:  Sandra Hodge; Paul N Reynolds
Journal:  Respirology       Date:  2012-07       Impact factor: 6.424

2.  Evidence for clonal expansion after antibiotic selection pressure: pneumococcal multilocus sequence types before and after mass azithromycin treatments.

Authors:  Jeremy D Keenan; Keith P Klugman; Lesley McGee; Jorge E Vidal; Sopio Chochua; Paulina Hawkins; Vicky Cevallos; Teshome Gebre; Zerihun Tadesse; Paul M Emerson; James H Jorgensen; Bruce D Gaynor; Thomas M Lietman
Journal:  J Infect Dis       Date:  2014-10-06       Impact factor: 5.226

3.  Azithromycin for prevention of exacerbations in severe asthma (AZISAST): a multicentre randomised double-blind placebo-controlled trial.

Authors:  Guy G Brusselle; Christine Vanderstichele; Paul Jordens; René Deman; Hans Slabbynck; Veerle Ringoet; Geert Verleden; Ingel K Demedts; Katia Verhamme; Anja Delporte; Bénédicte Demeyere; Geert Claeys; Jerina Boelens; Elizaveta Padalko; Johny Verschakelen; Georges Van Maele; Ellen Deschepper; Guy F P Joos
Journal:  Thorax       Date:  2013-01-03       Impact factor: 9.139

4.  Effect of azithromycin maintenance treatment on infectious exacerbations among patients with non-cystic fibrosis bronchiectasis: the BAT randomized controlled trial.

Authors:  Josje Altenburg; Casper S de Graaff; Ymkje Stienstra; Jacobus H Sloos; Eric H J van Haren; Ralph J H Koppers; Tjip S van der Werf; Wim G Boersma
Journal:  JAMA       Date:  2013-03-27       Impact factor: 56.272

5.  Risks of population antimicrobial resistance associated with chronic macrolide use for inflammatory airway diseases.

Authors:  David J Serisier
Journal:  Lancet Respir Med       Date:  2013-03-29       Impact factor: 30.700

6.  Long-term, low-dose azithromycin treatment reduces the incidence but increases macrolide resistance in Staphylococcus aureus in Danish CF patients.

Authors:  C R Hansen; T Pressler; N Hoiby; H K Johansen
Journal:  J Cyst Fibros       Date:  2008-10-11       Impact factor: 5.482

7.  Macrolide resistance of Staphylococcus aureus and Haemophilus species associated with long-term azithromycin use in cystic fibrosis.

Authors:  Sonja J Phaff; Harm A W M Tiddens; Henry A Verbrugh; Alewijn Ott
Journal:  J Antimicrob Chemother       Date:  2006-02-09       Impact factor: 5.790

8.  Prevalence and antimicrobial resistance profiles of respiratory microbial flora in African children with HIV-associated chronic lung disease.

Authors:  Regina E Abotsi; Mark P Nicol; Grace McHugh; Victoria Simms; Andrea M Rehman; Charmaine Barthus; Slindile Mbhele; Brewster W Moyo; Lucky G Ngwira; Hilda Mujuru; Beauty Makamure; Justin Mayini; Jon Ø Odland; Rashida A Ferrand; Felix S Dube
Journal:  BMC Infect Dis       Date:  2021-02-25       Impact factor: 3.090

9.  Effect of Once-Weekly Azithromycin vs Placebo in Children With HIV-Associated Chronic Lung Disease: The BREATHE Randomized Clinical Trial.

Authors:  Rashida A Ferrand; Grace McHugh; Andrea M Rehman; Hilda Mujuru; Victoria Simms; Edith D Majonga; Mark P Nicol; Trond Flaegstad; Tore J Gutteberg; Carmen Gonzalez-Martinez; Elizabeth L Corbett; Sarah L Rowland-Jones; Katharina Kranzer; Helen A Weiss; Jon O Odland
Journal:  JAMA Netw Open       Date:  2020-12-01

10.  Different ways to estimate treatment effects in randomised controlled trials.

Authors:  Twisk J; Bosman L; Hoekstra T; Rijnhart J; Welten M; Heymans M
Journal:  Contemp Clin Trials Commun       Date:  2018-03-28
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