Literature DB >> 28425146

A Deep Nasopharyngeal Swab Versus Nonendoscopic Bronchoalveolar Lavage for Isolation of Bacterial Pathogens from Preweaned Calves With Respiratory Disease.

L Van Driessche1, B R Valgaeren1, L Gille1, F Boyen2, R Ducatelle2, F Haesebrouck2, P Deprez1, B Pardon1.   

Abstract

BACKGROUND: Nonendoscopic bronchoalveolar lavage (BAL) is a practical alternative for a deep nasopharyngeal swab (DNS) to sample the airways of a large number of calves in a short period of time. The extent of commensal overgrowth and agreement of BAL with DNS culture results in preweaned calves are unknown.
OBJECTIVES: To compare commensal overgrowth and bacterial culture results between DNS and BAL samples. ANIMALS: A total of 183 preweaned calves (144 with bovine respiratory disease and 39 healthy animals).
METHODS: Cross-sectional study. Deep nasopharyngeal swab and BAL samples were taken from each calf and cultured to detect Pasteurellaceae and Mycoplasma bovis. Agreement and associations between culture results of DNS and BAL samples were determined by kappa statistics and logistic regression.
RESULTS: Bronchoalveolar lavage samples were less often polymicrobial, more frequently negative and yielded more pure cultures compared to DNS, leading to a clinically interpretable culture result in 79.2% of the cases compared to only in 31.2% of the DNS samples. Isolation rates were lower in healthy animals, but not different between DNS and BAL samples. Only Histophilus somni was more likely to be isolated from BAL samples. In clinical cases, a polymicrobial DNS culture result did not increase the probability of a polymicrobial BAL result by ≥30%, nor did it influence the probability of a negative culture. A significant herd effect was noted for all observed relationships. CONCLUSIONS AND CLINICAL RELEVANCE: Nonendoscopic BAL samples are far less overgrown by bacteria compared to DNS samples under the conditions of this study, facilitating clinical interpretation and resulting in a higher return on investment in bacteriologic culturing.
Copyright © 2017 The Authors. Journal of Veterinary Internal Medicine published by Wiley Periodicals, Inc. on behalf of the American College of Veterinary Internal Medicine.

Entities:  

Keywords:  Bacteria; Bovine respiratory disease; Comparison; Sampling

Mesh:

Year:  2017        PMID: 28425146      PMCID: PMC5435039          DOI: 10.1111/jvim.14668

Source DB:  PubMed          Journal:  J Vet Intern Med        ISSN: 0891-6640            Impact factor:   3.333


bronchoalveolar lavage bovine respiratory disease deep nasopharyngeal swab transtracheal aspiration Bovine respiratory disease (BRD) has major economic impact in cattle production systems worldwide.1 It is the main indication for antimicrobial use in calves and therefore receives considerable attention in countries in which veterinary use of antimicrobials is in question.2 To rationalize antimicrobial use, veterinary formularies have been established in several European countries such as Belgium, the Netherlands, and Denmark. These formularies recommend sampling of the respiratory tract, bacterial isolation, and susceptibility testing before certain antimicrobial classes, critical for human medicine, can be used.3 Recently, a change in Belgian law has been made, requiring an antibiogram before fluoroquinolones or cephalosporins can be used.4 However, to date, there is no consensus on how the respiratory tract should be sampled to isolate causative pathogens. In practice, deep nasopharyngeal swabs (DNS),5, 6, 7 transtracheal aspiration (TTA),8 and bronchoalveolar lavage (BAL)9, 10 have been used for sampling the respiratory tract. Deep nasopharyngeal swab is the easiest, fastest, and cheapest technique and therefore most suitable for sampling large numbers of animals.6 One major disadvantage is that DNS does not sample the site of interest (pneumonic lung). Previous work in a single feedlot showed moderate agreement between DNS and BAL culture results in calves for Pasteurellaceae (Pasteurella multocida, Mannheimia haemolytica sensu lato, and Histophilus somni) and mycoplasmata.11 Transtracheal aspiration samples the bronchial bifurcation, but has the disadvantage of being more time‐consuming, expensive, and invasive, while at the same time holding a certain risk (e.g., hemorrhage, emphysema, infection) for the animal.12 Agreement between DNS and TTA culture results was reported in fattening bulls to be moderate for M. haemolytica s.l.8 A BAL often is performed with an endoscope, which requires costly equipment and carries high risk of contamination when sampling multiple animals successively.11 Alternatively, BAL can be performed with a reusable sterilized BAL catheter without endoscopic guidance.13 This makes it easier for large numbers of animals to be sampled at the lung level in a short time frame and with a low cost per calf. However, an important point of criticism is the nasal passage of the BAL catheter, which may inoculate the BAL sample with either respiratory pathogens of the nasal cavity or commensal microflora.12 Despite the high prevalence of BRD in preweaned calves,7, 14 information on the performance of nonendoscopic BAL and the agreement of DNS and BAL culture results in preweaned calves currently is not available. Results in preweaned calves might substantially differ from those in feedlot cattle, because preweaned calves are more likely to suffer from their first BRD episode, whereas the older feedlot cattle might relapse, and residual pathogenic flora in the lung might differ from the dominant nasopharyngeal flora. Therefore, the objectives of our study were (1) to determine the outcome of bacterial culture results, isolation rates, and agreement for samples taken with DNS and nonendoscopic BAL with respect to Pasteurellaceae and Mycoplasma bovis. infections in preweaned calves; (2) to determine the polymicrobial nature of DNS and BAL samples; and (3) to determine whether a polymicrobial DNS culture result, caused by the nasopharyngeal flora or unhygienic sampling, influences BAL culture results.

Materials and Methods

All sampling techniques and the study protocol were revised by the local ethical committee and permitted under experimental license number EC2014‐164.

Sample Size Calculation, Study Design, and Animals

Sample size was calculated to detect a 30% difference in culture results (i.e., prevalence of pure cultures) between DNS and BAL samples in calves with BRD (cases) and controls with 95% confidence and 80% power. Required sample size for a 2‐sided test was 37 observations per group.1 The sample size for the cases was increased 3.5 times to increase the probability that all major BRD pathogens would be present in the data set. A cross‐sectional study was performed on 14 commercial herds (4 veal, 10 beef) between September 2014 and May 2015. The study was divided into 2 parts. In 11 herds, animals with clinical BRD (cases) were sampled, and in 3 (2 veal and 1 beef) herds, only healthy animals were sampled (controls). Veal calves were group‐housed (4–8) on a slatted floor and fed milk replacer, concentrates, and roughage according to European legislation (EC2008‐119). Beef calves also were group‐housed (8–12 calves per group) on straw and received milk replacer, concentrates, and roughage. The herds with clinical BRD were reported by local veterinarians and subsequently visited by the research staff. Calves to be sampled (cases) were selected based on previously described inclusion criteria.15 Briefly, the following clinical signs were scored on a 4‐point scale (score 0–3): lethargy (from standing to recumbency and position of the ears), cough (from absent to spontaneous), rectal temperature (from <39°C to >39.5°C), and nasal discharge (from absent to bilateral purulent). An animal with a score ≥5 was considered a case, independent on how many clinical signs were abnormal. Additionally, thoracic ultrasound examination was performed with a 7.5‐MHz linear probe2 as previously described.16 The definition for a case was the presence of a consolidated zone in the lung of ≥1 cm3. In the affected herds, all animals that met the inclusion criterion were sampled. To avoid subclinical infection or inflammation (bronchitis‐pneumonia) because of exposure to BRD risk factors, controls were selected from herds that had not experienced a BRD outbreak in the last month. Controls had to have a normal clinical investigation (0 on the 4‐point scale) and absence of any ultrasonographic abnormalities. Animals that were vaccinated against BRD or treated with antimicrobials 14 days before sampling were excluded from the study.

Sampling

From each calf, an unguarded DNS and then a BAL sample were taken as previously described.13 Before inserting a DNS, the animal was restrained while standing and the nostrils were disinfected with 90% alcohol. A 16‐cm sterile transport swab3 was used. The swab was sufficiently long to cover the distance from the nostril to the medial canthus of the eye, hereby sampling nasopharyngeal tissue. The swab was introduced medioventrally in the nasal cavity until the nasopharyngeal tissue was reached. After rotating several times, the swab was taken out and placed in Amies transport medium without charcoal formulas. Bronchoalveolar lavage fluid was collected by a reusable homemade polytetrafluorethylene catheter4 adjusted with a 12‐G catheter stylet.13 The procedure was performed in standing animals without sedation as previously described.13 Briefly, after rinsing the nostril with 90% alcohol, the catheter was inserted medioventrally in the nasal cavity, passed through larynx and trachea, and gently advanced into the bronchi until the wedge position was reached. Next, 20 mL of sterile 0.9% NaCl was injected into the lungs and immediately aspirated (recovery of 30–50% of the fluid).13 If no fluid was recovered, a second 20 mL injection was attempted. Sample validity was checked by inspecting for the presence of the characteristic foam layer, indicating contact with surfactant. Samples were transported at ambient temperature and cultured within 12 hours after sampling. For each calf, a new sterilized catheter was used. Sampling was performed by different veterinarians (3–5 different samplers per herd, 17 different samplers in total).

Bacteriology

Deep nasopharyngeal swab and BAL samples (0.2 mL) were inoculated on Columbia blood agar5 enriched with 5% sheep blood and on pleuropneumonia‐like organism (PPLO) agar (10.6 g d‐glucose and 40 g PPLO6 in 800 mL of distilled water [pH = 7.8–7.9]) for isolation of Pasteurellaceae and M. bovis, respectively. Blood agars were incubated overnight and PPLO agars for 5 days, both at 35°C and 5% CO2. Bacteria were selected based on phenotypic characteristics and subsequently further identified by biochemical tests according to as previously described.17 Identification of M. bovis was made by culturing on PPLO agar enriched with polysorbate 80. Mycoplasma bovis colonies showed the typical “fried‐egg” morphology on microscopic examination. If no growth was observed after this period, incubation was continued for 48 h for Pasteurellaceae and 7 days for M. bovis. All bacteriological analyses were performed at the department of bacteriology at the Faculty of Veterinary medicine, Gent University, Belgium.

Data Management and Statistical Analysis

Culture results were interpreted as follows: A negative culture result was defined as the absence of growth of the target bacteria or the presence of <2 colonies of contaminants after 48 h of incubation for Pasteurellaceae. A polymicrobial result was defined as the growth of multiple bacterial colonies with different morphologies on the agar of which no target bacteria could be subjected to subculture for further identification. A pure culture result was defined as the presence of 1 bacterial species on the agar (>2 colonies). The presence of several (<5) bacterial species on the agar with dominant growth of 1 species was defined as a dominant culture. Isolation rates of the studied bacteria were calculated by dividing the sum of pure and dominant cultures (i.e., positive cultures) by the total number of samples. All results, except for polymicrobial results, were considered clinically interpretable. The experimental unit was the individual calf. To compare isolation rates between DNS and BAL samples, a multivariable linear mixed model was constructed (PROC GLIMMIX) with the respective bacteriological result (e.g., P. multocida or pure culture) as the outcome variable and swab/BAL as a binary variable factor. A binomial distribution and logit link function with Wald's statistics for type 3 contrasts was used. Herd was added as a random factor to account for clustering. No agreement was investigated among the different veterinarians involved. Agreement between DNS and BAL for the isolation of P. multocida, M. haemolytica s.l., H. somni, and M. bovis was determined by means of the Kappa statistic.18 Strength of agreement for the Kappa coefficient was interpreted as previously described19 (≤0 = poor; 0.10–0.20 = slight; 0.21–0.40 = fair; 0.41–0.60 = moderate; 0.61–0.80 = substantial; and 0.81–1.0 = almost perfect). The association between isolation of a bacterial species from the DNS sample and its isolation from the BAL sample was determined by means of a multivariable linear mixed model (PROC GLIMMIX). Eight different models were constructed, separate for cases and controls, with the respective pure culture (M. haemolytica s.l., P. multocida, M. bovis, and all pure cultures), a polymicrobial culture, dominant culture, or negative result as the outcome variables. A binomial distribution and logit link function with Wald's statistics for type 3 contrasts was used. Herd was added as a random factor to account for clustering. To determine the effect of a polymicrobial DNS culture result on the probability of a pure culture in the BAL sample in calves with BRD, 5 different general linear mixed models were constructed with M. haemolytica s.l., P. multocida, M. bovis, and a negative culture result as outcome variables. The same procedure as described above was followed. Model validity was evaluated by the Hosmer–Lemeshow goodness‐of‐fit test for logistic models. Significance was set at P < .05. All analyses were performed in SAS 9.4.7

Results

Details on herd types, number of animals sampled, and sampling results at herd level are provided in Table 1. Mannheimia haemolytica s.l., P. multocida, and H. somni were found in 27.3% (3 of 11), 63.6% (7 of 11), and 18.2% (2 of 11) of the BRD outbreak herds, respectively. Mycoplasma bovis was only found in both veal farms with BRD outbreaks (18.2%; 2 of 11). Very few targeted respiratory pathogens (n = 7) could be retrieved from the 3 control herds. In 2 herds (herds 13 and 14), 2 P. multocida isolates were retrieved, whereas in herd 14, 2 H. somni isolates also were retrieved. In herd 13, M. bovis was isolated from a single calf. In herd 12, no respiratory pathogens could be isolated (Table 1).
Table 1

Overview of isolated pathogens and polymicrobial culture results in the 11 case and 3 control herds

HerdCase/ControlTypeAge (Weeks)Calves (n)Number (Percentage) of Positive Cultures For% DNS Polymicrobial% BAL Polymicrobial
Mannheimia haemolytica s.l. Pasteurella multocida Histophilus somni Mycoplasma bovis
1CaseBeef530 (0)0 (0)0 (0)0 (0)3 (100)0 (0)
2CaseBeef1770 (0)1 (14.3)0 (0)0 (0)6 (85.7)0 (0)
3CaseBeef9100 (0)2 (20)0 (0)0 (0)8 (80)1 (10)
4CaseBeef8100 (0)1 (10)0 (0)0 (0)8 (80)1 (10)
5CaseBeef8103 (30)0 (0)0 (0)0 (0)5 (50)2 (20)
6CaseBeef8100 (0)0 (0)9 (90)0 (0)9 (90)0 (0)
7CaseBeef10150 (0)3 (20)0 (0)0 (0)13 (86.7)6 (40)
8CaseBeef8–1250 (0)1 (20)0 (0)0 (0)3 (60)2 (40)
9CaseBeef9–1370 (0)0 (0)0 (0)0 (0)7 (100)5 (71.4)
10CaseVeal63513 (37.1)25 (71.4)1 (2.9)22 (62.9)10 (28.6)3 (8.6)
11CaseVeal7322 (6.3)7 (21.9)0 (0)4 (12.5)27 (84.4)10 (31.3)
12ControlVeal3–890 (0)0 (0)0 (0)0 (0)5 (55.5)2 (22.2)
13ControlVeal2180 (0)3 (16.7)0 (0)1 (5.5)15 (82.3)7 (38.9)
14ControlVeal8–28120 (0)2 (16.7)2 (16.7)0 (0)12 (100)4 (33.3)

DNS, deep nasopharyngeal swab; BAL, bronchoalveolar lavage.

Overview of isolated pathogens and polymicrobial culture results in the 11 case and 3 control herds DNS, deep nasopharyngeal swab; BAL, bronchoalveolar lavage. Isolation rates of the targeted pathogens (M. haemolytica s.l., P. multocida, H. somni, and M. bovis) were higher in cases compared to controls both in DNS (43.7% [63 of 144] versus 5.1% [2 of 39]; P < .01) and in BAL (53.5% [77 of 144] versus 17.9% [7 of 39]; P < .01; Table 2). With DNS and BAL, both in cases as controls, P. multocida (n = 67) was isolated most frequently, followed by M. bovis (n = 39), M. haemolytica s.l. (n = 30), and H. somni (n = 13). In case calves, the isolation rates were not significantly different between DNS and BAL for all studied bacteria, except for H. somni which was less frequently isolated from DNS (P < .01; Table 2). Mixed infections (i.e., isolation of ≥ 2 respiratory target bacteria from the same DNS or BAL sample) were only seen in cases from the veal farms (Table 3). In cases, agreement between DNS and BAL culture results was moderate for all bacteria (κ = 0.41–0.60), with the exception of H. somni, for which it was slight (κ = 0.16; Table 4). A positive DNS culture result in cases significantly increased the odds of a positive BAL for M. haemolytica s.l., P. multocida, and M. bovis (Table 4). This relationship was significantly affected by the herd effect (P < .001).
Table 2

Differences in isolation rates of bacterial respiratory pathogens and negative, pure culture, or polymicrobial culture results between DNS and BAL samples in 183 preweaned calves

Bacterial Culture ResultCasesControls
DNSa (n = 144) (%)BALa (n = 144) (%) P‐valueb DNSa (n = 39) (%)BALa (n = 39) (%) P‐Valueb
Mannheimia haemolytica s.l.12 (8.3)18 (12.5).2100
Pasteurella multocida 31 (21.5)30 (20.8).872 (5.1)4 (10.3).40
Histophilus somni 2 (1.4)9 (6.3).010 (0)2 (5.1).15
Mycoplasma bovis 18 (12.5)20 (13.9).680 (0)1 (2.6).31
Pure culture12 (8.3)42 (29.2)<.0010 (0)5 (12.8).02
Dominant culture12 (8.3)14 (9.7).682 (5.1)2 (5.1)1.0
Polymicrobial culture99 (68.8)30 (20.8)<.00132 (82.1)15 (38.5)<.001
Negative culture21 (14.6)58 (40.3)<.0015 (12.8)17 (43.6)<.01

DNS, deep nasopharyngeal swab; BAL, bronchoalveolar lavage.

Results are shown as numbers with percentages between brackets.

P‐value referring to the difference between DNS and BAL.

Table 3

Mixed infections as diagnosed by bacterial culture on deep nasopharyngeal swabs or bronchoalveolar lavage samples in 144 preweaned calves with respiratory disease

DNSBAL
Pasteurella multocida + Mannheimia haemolytica s.l. + Mycoplasma bovis 6.7% (1/15)25.0% (4/16)
P. multocida + M. haemolytica s.l.20.0% (3/15)18.8% (3/16)
P. multocida + M. bovis 66.6% (10/15)37.4% (6/16)
M. haemolytica s.l. + M. bovis 0.0% (0/15)18.8% (3/16)
M. haemolytica s.l. + Histophilus somni 6.7% (1/15)0.0% (0/25)
Table 4

Associations and agreement between DNS and BAL culture results in 183 preweaned calves

SpeciesCasesControls
Percentage (Number) of Positive BAL CulturesAssociation of DNS with BALAgreementPercentage of Positive BALs (Number)Association of DNS with BALAgreement
DNS Culture Resulta Negative PositiveOR95% CI P‐ValueKappa95% CIDNS Culture Resulta Negative PositiveOR95% CI P‐ValueKappa95% CI
Mannheimia haemolytica s.l.7.6% (10/132)66.7% (8/12)18.93.3–111.1<.010.520.36–0.690% (0/39)0% (0/0)ND
Pasteurella multocida 10.5% (12/114)63.3% (19/30)13.33.5–50.0<.0010.480.25–0.718.1% (3/37)50.0% (1/2)11.40.5–250.120.280.03–0.54
Histophilus somni 5.6% (8/142)50% (1/2)ND0.160–0.460% (0/0)5.1% (2/39)ND
Mycoplasma bovis 4.8% (6/124)60.0% (12/20)8.92.0–38.5<.010.580.38–0.782.6% (1/39)0% (0/0)ND
Pure culture24.2% (32/132)83.3% (10/12)7.81.4–45.5.020.280.12–0.4312.8% (5/39)0% (0/0)ND
Dominant culture9.8% (13/132)8.3% (1/12)NDND5.4% (2/37)0% (0/2)ND
Polymicrobial culture8.9% (4/45)26.3% (26/99)2.90.8–10.2.090.120.03–0.2114.3% (1/7)43.8% (14/32)0.180.46–47.6.150.150–0.33
Negative culture39.0% (48/123)47.6% (10/21)3.51.0–11.6.050.050–0.1838.2% (13/34)80.0% (4/5)6.50.60–71.4.120.210.08–0.34

DNS, deep nasopharyngeal swab; BAL, bronchoalveolar lavage; ND, no statistical analysis possible, because of a too small number of observations in one of the groups; OR, odds ratio; CI, confidence interval.

Strength of agreement for the Kappa coefficient was interpreted according to Landis and Koch: ≤0 = poor; 0.10–0.20 = slight; 0.21–0.40 = fair; 0.41–0.60 = moderate; 0.61–0.80 = substantial and 0.81–1.0 = almost perfect.

DNS culture result refers to isolation of the same bacteria as in the BAL.

Herd effect was significant for all studied outcomes, except P. multocida.

Differences in isolation rates of bacterial respiratory pathogens and negative, pure culture, or polymicrobial culture results between DNS and BAL samples in 183 preweaned calves DNS, deep nasopharyngeal swab; BAL, bronchoalveolar lavage. Results are shown as numbers with percentages between brackets. P‐value referring to the difference between DNS and BAL. Mixed infections as diagnosed by bacterial culture on deep nasopharyngeal swabs or bronchoalveolar lavage samples in 144 preweaned calves with respiratory disease Associations and agreement between DNS and BAL culture results in 183 preweaned calves DNS, deep nasopharyngeal swab; BAL, bronchoalveolar lavage; ND, no statistical analysis possible, because of a too small number of observations in one of the groups; OR, odds ratio; CI, confidence interval. Strength of agreement for the Kappa coefficient was interpreted according to Landis and Koch: ≤0 = poor; 0.10–0.20 = slight; 0.21–0.40 = fair; 0.41–0.60 = moderate; 0.61–0.80 = substantial and 0.81–1.0 = almost perfect. DNS culture result refers to isolation of the same bacteria as in the BAL. Herd effect was significant for all studied outcomes, except P. multocida. The majority of DNS cultures were polymicrobial (68.8% [99 of 144] in cases, 82.1% [32 of 39] in controls), meaning that no Pasteurellaceae or M. bovis could be phenotypically identified from the plate. Compared to DNS, BAL samples were significantly less polymicrobial (P < .001 for cases and controls), more often negative (P < .001 for cases, P < .01 for controls), and more often returned pure cultures of Pasteurellaceae or M. bovis (P < .001 for cases, P < .02 for controls; Table 2). In summary, BAL samples returned an interpretable result (either negative, pure, or dominant culture result) in 79.2% of the cases and in 61.5% of the controls, compared to 31.2% and 17.9% for DNS in cases and controls, respectively (P < .01 for both comparisons; Table 2). The polymicrobial nature of a sample result was strongly affected by the herd effect (P < .001). A polymicrobial DNS and BAL culture result in at least 1 animal was present in almost all herds (11 of 14 herds, the other 3 herds had no polymicrobial BAL culture result), but there was very large variation in the percentage of polymicrobial results among the herds sampled (Table 1). In the cases, a polymicrobial DNS culture result did not increase the probability of a polymicrobial BAL result by ≥30% (P = .09), nor did it influence the probability of a negative culture (P = .52). However, the probability of retrieving M. haemolytica s.l. and P. multocida from the BAL sample still decreased when the DNS was polymicrobial. In contrast, there was no effect of a polymicrobial DNS result on the probability of isolation of M. bovis from the BAL sample (Table 5).
Table 5

Results of univariable logistic regression models on the effect of a polymicrobial DNS on recovery of respiratory bacteria from BAL samples in 183 preweaned calves

SpeciesPercentage (Number) of Positive BAL CulturesOR95% CI P‐Value
Polymicrobial DNS
NoYes
Cases (n = 144)
M. haemolytica s.l.31.1% (14/45)4.0% (4/99)0.230.08–0.64<.01
Pasteurella multocida 44.4% (20/45)11.1% (11/99)0.200.05–0.83.03
Histophilus somni 2.2% (1/45)88.9% (8/99)ND
Mycoplasma bovis 24.4% (11/45)7.1% (7/99)1.340.33–5.62.67
Negative culture22.4% (13/45)45.5% (45/99)1.360.53–3.5.52
Controls (n = 39)
M. haemolytica s.l.0% (0/7)0% (0/32)ND
P. multocida 14.3% (1/7)9.4% (3/32)0.620.05–7.69.70
H. somni 0% (0/7)6.3% (2/32)ND
M. bovis 0% (0/7)3.1% (1/32)ND
Negative culture71.4% (5/7)37.5% (12/32)0.240.04–1.53.12

DNS, deep nasopharyngeal swab; BAL, bronchoalveolar lavage; ND, no statistical analysis possible, because of a too small number of observations in one of the groups; OR, odds ratio; CI, confidence interval.

The random herd effect was significant in all models.

Results of univariable logistic regression models on the effect of a polymicrobial DNS on recovery of respiratory bacteria from BAL samples in 183 preweaned calves DNS, deep nasopharyngeal swab; BAL, bronchoalveolar lavage; ND, no statistical analysis possible, because of a too small number of observations in one of the groups; OR, odds ratio; CI, confidence interval. The random herd effect was significant in all models.

Discussion

To determine how the respiratory tract should be sampled to isolate the causative pathogens, a cross‐sectional study was performed to compare bacterial culture results and commensal overgrowth between DNS and BAL samples. Sampling procedures returning high isolation rates of the major respiratory pathogens and with a straightforward interpretation of the culture results have the highest return on investment and are therefore most suitable for practice. In our study, all isolates were identified by biochemical tests and morphology instead of by polymerase chain reaction (PCR). This approach might limit the results with respect to bacterial species identification. Biochemical identification was selected because it is the routine identification method used in private laboratories in Belgium and neighboring countries, for reasons of speed and cost of analysis. The objective of our study was to gain insights into the sampling and culture methods currently used in the field. Also, no selective media to increase Pasteurellaceae isolation rates were used, because doing so currently is not the standard procedure used in private laboratories. Selective media would likely decrease contamination, whereas 1 of the main objectives was to study differences in contamination between DNS and BAL. A final limitation of this study was that, for practical reasons, the returned lavage fluid volume was not determined. Quantification of the target bacteria was not an objective of the study, but differences in the returned volume might potentially have influenced culture results. One of the main findings in the study on preweaned calves is that isolation rates of respiratory bacterial pathogens in both DNS and BAL samples were lower in controls compared to cases. The most likely explanation is that the control group consisted of animals originating from other farms than the case farms, whereas in previous work, “apparently healthy” in‐contact animals were used as controls.11 These apparently healthy animals are likely exposed to the same risk factors as the cases and might be subclinically infected. Therefore, in our study, controls were deliberately chosen from farms without recent BRD exposure, and ultrasound examination was used as an additional tool to aid in selecting truly healthy animals. A disadvantage of this approach is the environmental differences (e.g., bedding, herd size, air quality) that exist among herds. To definitively determine whether isolation rates differ between diseased and truly healthy animals in 1 herd, a longitudinal study design would be needed. Agreement between DNS and BAL samples was moderate for M. haemolytica s.l., P. multocida, and M. bovis, similar to what was observed for M. haemolytica s.l. in fattening bulls.11 Agreement was much lower for H. somni, which can be explained by the fact that H. somni is easily overgrown by other bacteria.20 Given their polymicrobial nature, DNS samples are likely to be falsely negative for H. somni, when no selective media are used. Current understanding of the pathogenesis of bacterial pneumonia in calves suggests overgrowth of Pasteurellaceae in the nasopharynx and tonsils with subsequent colonization of the trachea and lungs.21 Even when applying a transtracheal sampling procedure, in diseased animals, one is probably as likely to isolate bacteria that have descended from the nasopharynx as those originating from the lung. Possible reasons why DNS and BAL samples do not agree are false‐negative results caused by polymicrobial overgrowth (sampling technique or presence of resident flora), sampling of a nonaffected lung lobe with the nonendoscopic BAL technique, or the absence of deep bronchitis or alveolitis in case calves. The latter reason was excluded as much as possible by the use of ultrasound examination in this study. Previous work showed that this nonendoscopic BAL approach samples a random lung lobe in nonsedated animals, and not necessarily the most frequently affected cranial lobes.13 This might in part explain why some cultures of cases were negative. However, we doubt this is true, and our hypothesis is that passage through trachea and deep bronchi transfers bacteria deeper into the lung. Interestingly, in the same animal, the DNS could be polymicrobial, whereas the BAL yielded a pure culture, dominant culture, or even a completely negative result. Additionally, the polymicrobial nature of the DNS did not affect the presence of a negative or pure culture result in the BAL. Also, H. somni could be isolated in pure culture from the lungs of diseased calves, whereas it was overgrown or absent on the nasopharyngeal culture. These observations strongly suggest that, under the conditions of our study, nasopharyngeal contamination of a BAL sample is less common than previously assumed. To what extent a possible cleansing effect of the DNS contributes to a pure culture result in the BAL is unclear. On the other hand, a DNS polymicrobial result did decrease the probability of isolating M. haemolytica s.l. or P. multocida from the BAL, whereas this effect was not observed for M. bovis for which selective media were used. Again, this observation could be explained by BAL placement in a healthy lung lobe in a case calf or because respiratory bacteria are not necessarily involved in every case. Several viruses (e.g., bovine respiratory syncytial virus, bovine coronavirus) are capable of inducing pneumonia and marked disease without bacterial superinfection. Unfortunately, in our study, viral analysis in each case was not possible for financial reasons. However, in our opinion, the polymicrobial nature of DNA and BAL is strongly influenced by the sampling (technique and hygiene), given that such a strong herd effect on the sampling results was observed. To overcome the issue of possible nasopharyngeal overgrowth in DNS and BAL samples due to nasopharyngeal passage, both the use of selective media for isolation of Pasteurellaceae (e.g., addition of bacitracin5, 7) and a more quantitative approach to BAL results22 might be suitable. Our study focused on culture results obtained when applying DNS and BAL as in practice. To definitively determine the extent and diagnostic importance of possible overgrowth as a consequence of nasopharyngeal passage, experimental work with intensive strain typing and necropsy to confirm the infective status of the lung will be needed. As mentioned above, a significant herd effect was noted on many of the outcomes studied. Deep nasopharyngeal swab and BAL were performed only after cleaning the outer nares and without a protective sleeve as used in previous studies.6, 11 This could have increased the risk of contamination by bacteria residing in the nostril. In Belgium, DNS for practical reasons is routinely performed without a protective sleeve, again increasing external validity in this study. Multiple samplers participated in the study, and although all of them received at least 1 training session from the same trainer before the start of the study, variation in the extent of experience in taking DNS or BAL samples and in the hygienic procedures accompanying these techniques might have influenced the results. Deep nasopharyngeal swab samples might be polymicrobial due to the presence of a highly variable nasopharyngeal microflora23 or due to environmental contamination (e.g., touching the muzzle or other objects during sampling). Other reasons might be environmental or aerosolized dust, endotoxin, bedding conditions, and issues with stable ventilation. Likely, the risk of catheter contamination increases when repeated attempts to enter the trachea are needed or when the esophagus is accidently entered. Adequate training is likely the only solution, other than considering other procedures such as protective sleeves, agar plugs, or visualization of the larynx through a low‐cost laryngoscope. In conclusion, a nonendoscopic BAL results in less contaminated (and therefore more easily interpretable samples) compared to DNS under the conditions of this study. It returns an interpretable result in 79.2% of the cases, compared to 31.2% in DNS, and has better isolation rates for H. somni, offering a better return on investment for bacteriological sampling. It can be performed rapidly in a representative number of animals at low cost and likely has less impact on animal welfare then more invasive techniques.
  17 in total

1.  Prevalence of respiratory pathogens in diseased, non-vaccinated, routinely medicated veal calves.

Authors:  B Pardon; K De Bleecker; J Dewulf; J Callens; F Boyen; B Catry; P Deprez
Journal:  Vet Rec       Date:  2011-08-10       Impact factor: 2.695

2.  An application of hierarchical kappa-type statistics in the assessment of majority agreement among multiple observers.

Authors:  J R Landis; G G Koch
Journal:  Biometrics       Date:  1977-06       Impact factor: 2.571

3.  Effect of sedation on the intrapulmonary position of a bronchoalveolar lavage catheter in calves.

Authors:  L Van Driessche; B Valgaeren; P De Schutter; L Gille; F Boyen; R Ducatelle; P Deprez; B Pardon
Journal:  Vet Rec       Date:  2016-04-25       Impact factor: 2.695

4.  Estimation of volume of epithelial lining fluid recovered by lavage using urea as marker of dilution.

Authors:  S I Rennard; G Basset; D Lecossier; K M O'Donnell; P Pinkston; P G Martin; R G Crystal
Journal:  J Appl Physiol (1985)       Date:  1986-02

5.  Variability in acquired resistance of Pasteurella and Mannheimia isolates from the nasopharynx of calves, with particular reference to different herd types.

Authors:  Boudewijn Catry; Freddy Haesebrouck; Sarne De Vliegher; Bianca Feyen; Mia Vanrobaeys; Geert Opsomer; Stefan Schwarz; Aart De Kruif
Journal:  Microb Drug Resist       Date:  2005       Impact factor: 3.431

6.  Bronchoalveolar lavage of cranial and caudal lung regions in selected normal calves: cellular, microbiological, immunoglobulin, serological and histological variables.

Authors:  J K Pringle; L Viel; P E Shewen; R A Willoughby; S W Martin; V E Valli
Journal:  Can J Vet Res       Date:  1988-04       Impact factor: 1.310

7.  Transmission dynamics of Mannheimia haemolytica in newly-received beef bulls at fattening operations.

Authors:  E Timsit; H Christensen; N Bareille; H Seegers; M Bisgaard; S Assié
Journal:  Vet Microbiol       Date:  2012-08-03       Impact factor: 3.293

8.  The microbial flora of the respiratory tract in feedlot calves: associations between nasopharyngeal and bronchoalveolar lavage cultures.

Authors:  J W Allen; L Viel; K G Bateman; S Rosendal; P E Shewen; P Physick-Sheard
Journal:  Can J Vet Res       Date:  1991-10       Impact factor: 1.310

9.  Incidence of respiratory disorders during housing in non-weaned Charolais calves in cow-calf farms of Pays de la Loire (Western France).

Authors:  Sébastien Assié; Henri Seegers; François Beaudeau
Journal:  Prev Vet Med       Date:  2004-05-14       Impact factor: 2.670

10.  Prediction of respiratory disease and diarrhea in veal calves based on immunoglobulin levels and the serostatus for respiratory pathogens measured at arrival.

Authors:  Bart Pardon; Jeroen Alliët; Randy Boone; Sophie Roelandt; Bonnie Valgaeren; Piet Deprez
Journal:  Prev Vet Med       Date:  2015-04-25       Impact factor: 2.670

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  13 in total

1.  Evaluation of Nanopore Sequencing as a Diagnostic Tool for the Rapid Identification of Mycoplasma bovis from Individual and Pooled Respiratory Tract Samples.

Authors:  Jade Bokma; Nick Vereecke; Filip Boyen; Bart Pardon; Mathilde L Pas; Laurens Chantillon; Marianne Vahl; Eefke Weesendorp; Ruud H Deurenberg; Hans Nauwynck; Freddy Haesebrouck; Sebastiaan Theuns
Journal:  J Clin Microbiol       Date:  2021-09-22       Impact factor: 5.948

2.  Galacto-oligosaccharides alleviate lung inflammation by inhibiting NLRP3 inflammasome activation in vivo and in vitro.

Authors:  Yang Cai; Myrthe S Gilbert; Walter J J Gerrits; Gert Folkerts; Saskia Braber
Journal:  J Adv Res       Date:  2021-11-01       Impact factor: 12.822

3.  Rapid Identification of Mycoplasma bovis Strains from Bovine Bronchoalveolar Lavage Fluid with Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry after Enrichment Procedure.

Authors:  Bart Pardon; Filip Boyen; Jade Bokma; Laura Van Driessche; Piet Deprez; Freddy Haesebrouck; Marianne Vahl; Eefke Weesendorp; Ruud H Deurenberg
Journal:  J Clin Microbiol       Date:  2020-05-26       Impact factor: 5.948

4.  Storage time and temperature affect the isolation rate of Mannheimia haemolytica and Pasteurella multocida from bovine bronchoalveolar lavage samples.

Authors:  Laura Van Driessche; Charlotte De Neve; Freddy Haesebrouck; Katharina van Leenen; Filip Boyen; Bart Pardon
Journal:  BMC Vet Res       Date:  2020-07-13       Impact factor: 2.741

Review 5.  Bovine Respiratory Disease Diagnosis: What Progress Has Been Made in Infectious Diagnosis?

Authors:  Bart Pardon; Sébastien Buczinski
Journal:  Vet Clin North Am Food Anim Pract       Date:  2020-07       Impact factor: 3.357

6.  Rapid identification of respiratory bacterial pathogens from bronchoalveolar lavage fluid in cattle by MALDI-TOF MS.

Authors:  Laura Van Driessche; Jade Bokma; Piet Deprez; Freddy Haesebrouck; Filip Boyen; Bart Pardon
Journal:  Sci Rep       Date:  2019-12-05       Impact factor: 4.379

Review 7.  Gut and airway microbiota and their role in COVID-19 infection and pathogenesis: a scoping review.

Authors:  Tik Fung Dave Liu; Elena Philippou; Ourania Kolokotroni; Georgios Siakallis; Kenan Rahima; Constantina Constantinou
Journal:  Infection       Date:  2021-10-20       Impact factor: 7.455

8.  Evaluation of novel multiplex qPCR assays for diagnosis of pathogens associated with the bovine respiratory disease complex.

Authors:  P Pansri; J Katholm; K M Krogh; A K Aagaard; L M B Schmidt; E Kudirkiene; L E Larsen; J E Olsen
Journal:  Vet J       Date:  2020-01-16       Impact factor: 2.688

9.  Pathogen-specific risk factors in acute outbreaks of respiratory disease in calves.

Authors:  B Pardon; J Callens; J Maris; L Allais; W Van Praet; P Deprez; S Ribbens
Journal:  J Dairy Sci       Date:  2020-01-15       Impact factor: 4.034

Review 10.  Review on bovine respiratory syncytial virus and bovine parainfluenza - usual suspects in bovine respiratory disease - a narrative review.

Authors:  Birgit Makoschey; Anna Catharina Berge
Journal:  BMC Vet Res       Date:  2021-07-31       Impact factor: 2.741

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