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BMJ Open Respiratory Research logoLink to BMJ Open Respiratory Research
. 2017 Oct 13;4(1):e000203. doi: 10.1136/bmjresp-2017-000203

Burden of bacterial upper respiratory tract pathogens in school children of Nepal

Sangita Thapa 1, Shishir Gokhale 2, Annavarapu Laxminarasimha Sharma 3, Lokendra Bahadur Sapkota 4, Shamshul Ansari 1, Rajendra Gautam 1, Sony Shrestha 1, Puja Neopane 1
PMCID: PMC5652512  PMID: 29071076

Abstract

Introduction

Respiratory tract infections are one of the most common human infections in all age group and important cause of mortality and morbidity worldwide. Most bacterial upper respiratory tract infections are vaccine preventable. This study aimed to determine the prevalence of carrier state of bacterial upper respiratory tract pathogens among school children. It also aimed to study their antibiograms.

Methods

The specimen from posterior pharyngeal wall and tonsils were collected from 204 participants on calcium alginate coated swabs (HiMedia). Isolates were identified by standard microbiological methods and tested for in vitro antibiotic susceptibility testing by modified Kirby-Bauer disc diffusion method.

Results

In this study, Streptococcus pneumoniae (16.6%) was the most common bacterial pathogen recovered, followed by Staphylococcus aureus (14.7%), β-haemolytic streptococci (non-Group A) (8.8%), Streptococcus pyogenes (5.3%) and Corynebacterium diphtheriae (3.4%). The Gram negative bacteria were Klebsiella pneumoniae (4.9%), Haemophilus influenzae (3.4%) and Neisseria meningitidis (1.4%). Important findings in antibiogram include high resistance of Streptococcus pneumoniae to penicillin (91.17%) and resistance of S. aureus to oxacillin (23.3%).

Conclusion

Pharyngeal colonisation by S. pneumoniae was found high among school children and this calls for an urgent need to include pneumococcal vaccine in routine national immunisation schedule of Nepal given the high burden of invasive pneumococcal disease. Despite expected universal vaccination, pharyngeal colonisation by C. diphtheriae is possible and there is possibility of transmission of these respiratory pathogens to other healthy children.

Keywords: respiratory infection


Key messages.

  • Most of the bacterial pathogens isolated in this study are not only associated with respiratory tract infection but also with systemic infections.

  • The school children are potential carriers of respiratory pathogens and are likely to be exposed to respiratory infections during winter.

  • Findings of this study would be important in minimising the transmission of respiratory pathogens among school children by effective vaccination, screening and treatment of carriers.

Background

Respiratory tract infection refers to any infectious disease involving the respiratory tract. In low-income and middle-income countries, respiratory tract infection is considered as one of the major public health problems. It can lead to severe mortality and morbidity in children as well as adults.1 In most of the viral upper respiratory tract infections (URTIs), recovery occurs without any complications, while bacterial infections need specific antibiotic therapy. Secondary bacterial infections are also common particularly in malnourished and young children.2 Common bacterial pathogens responsible for URTIs are Haemophilus influenzae type b (Hib), Streptococcus pneumoniae, Streptococcus pyogenes, Corynebacterium diphtheriae. Neisseria meningitidis is not seen as a URTI causative agent. It does not cause URTI but cause central nervous system (CNS) infection. The pharynx is just a reservoir and thus colonisation a risk factor for CNS disease.3

Carriage (also known as colonisation) can lead to transmission of these organisms. The carrier state occurs when a pathogen grows as the normal flora in an individual without causing disease.4 Although colonisation itself does no harm to the host, it is a known risk factor for developing and transmitting clinically relevant infections.5 However, when the condition of the host is altered, microorganisms may invade adjacent sites and/or invade the blood stream, causing disease.6

S. pneumoniae is responsible for an estimated 14.5 million episodes of serious disease and 826 000 deaths annually among children aged 1–59 months.7 Hib is a major cause of invasive bacterial infection and pneumonia in childhood. Globally, Hib is estimated to cause over 3 million cases of serious disease and 400 000 deaths, primarily among children in resource-poor countries.8 9 N. meningitidis, C. diphtheriae and S. pyogenes can also have acute effect and sometimes long-term sequel like rheumatic fever.

It is important to study bacterial colonisation in young children with developing immune system since the aetiology of many childhood diseases may originate early in life. The highest transmission and carriage rates have been reported in populations where people live in close contact with one another, for example, students in schools.10 Several other determinants such as the number of siblings, family size, vaccination status, season and socioeconomic status influence carrier rate in healthy children.11

Most of these infections and diseases can be prevented by vaccination. Vaccination against diphtheria and pertusis is readily available and is given on regular basis. This prevents occurrence of diphtheria and pertusis disease but may not prevent carrier state. Unvaccinated population thus remains at risk of infection and disease from such carriers. Vaccination against Hib has recently been introduced by the Government of Nepal. Vaccination against pneumococcal infections has recently been introduced but not used in regular basis. At present, vaccines for prevention of meningococcal disease are not available in Nepal. The requirement, benefits and success of vaccination programme depends on the prevalence of carrier state and risk factors associated with disease.

Surveillance of respiratory tract infections in defined populations is required to monitor prevailing pathogens, while determination of population groups at risk is important for implementing preventive strategies. Furthermore, monitoring of antimicrobial resistance patterns is needed to guide empirical therapy and also to monitor trend of these infections.12

This study intends to determine the prevalence of carrier state of bacterial agents of respiratory tract infections, among school children in Pokhara. It also aims to study their antibiograms. The data are expected to reveal the risk of diseases in children and need for vaccines for the population at risk. Some of the anticipated outcomes of the project can be used to determine the need for introduction of vaccines against meningococcal and pneumococcal infections and to provide baseline data in determining the effectiveness of vaccination programmes.

Materials and methods

This study was carried out in two phases in different seasons (summer and winter) in 2015, over a period of 1 year in the Department of Microbiology, Manipal College of Medical Sciences, Pokhara, Nepal.

Study population

Out of total 232 school children screened, 204 school children were enrolled in this study. The study population included two sets of school children. Group A comprises 54 students of age group 5–9 years. Group B comprises 150 students of age group 10–14 years. This totals to 204 school children selected from four schools of Pokhara valley.

Government school:

  1. Shree Satya Sai School, Nadipur

  2. Pardi Government Higher Secondary School, Pardi

    Private school

  3. Manakamna Boarding School, Phulbari

  4. Dynamic Academy, Simalchour.

Inclusion and exclusion criteria

Children of age group <15 years present during the day of sample collection were enrolled in this study. Children suffering from throat infections or already detected and treated for rheumatic diseases/nephritis and having taken antibacterial therapy in preceding 15 days were excluded in this study. Informed consent was obtained from the principal of respective schools, parents/guardians and participants.

Sample collection

A preformed questionnaire was used to collect the demographic and health-related information of the participants selected for this study (online supplementary file 1). The specimens from posterior pharyngeal wall and tonsils were collected on calcium alginate coated swabs (HiMedia) and were labelled. These were protected from light and stored in Stuart Transport Media (HiMedia) for transportation. Each sample was labelled with code number and information including age, gender, location, etc were recorded in relevant form. The sample was transported to the laboratory within 1–2 hours for processing.

Supplementary file 1

bmjresp-2017-000203supp001.pdf (131.7KB, pdf)

Sample processing

Throat swab was inoculated on the same day on 5% sheep blood agar, chocolate agar and potassium tellurite agar. Plates were incubated at 37°C overnight under 5%–10% CO2. Plates were examined for type of growth. The organisms were subcultured to obtain pure growth and were processed. The plates were observed up to 48 hours. If no growth of relevant bacteria was seen after 48 hours of incubation, the culture was declared negative. Preliminary identification was based on colony morphology and cultural characteristics on selective and differential media and results of Gram’s staining.

Identification of bacteria

Isolates were stored for further characterisation/study. All bacterial isolates were identified by conventional microbiological method13 and tested for in vitro antibiotics susceptibility by modified Kirby-Bauer disc diffusion method following the criteria designed by the Clinical and Laboratory Standards Institute.14

Data analysis

The data were first entered in the Microsoft Excel and were analysed by SPSS V.20. Differences between proportions were assessed by means of χ2 analysis. Statistical significance was set at 0.05.

Results

This study comprises a total of 204 participants, 108 (52.9%) male and 96 (47.1%) female, 54 (26.5%) belong to age group of 5–9 years (mean age=6.8±1.19 years, median age=7.0 years) and 150 (73.5%) belong to 10–14 years (mean age=12.12±1.1 years, median age=12.0 years) from various schools of Pokhara valley. Among 204 participants, 16 (7.84 %) were non-immunised with BCG and diphtheria–pertussis–tetanus (DPT) vaccination while 188 (92.16%) were immunised. None of the participants were vaccinated with pneumococcal, meningococcal and Hib vaccines. In government school, none of the participants were staying in hostel because there is no facility for hostel at government school but in private school, out of 102 participants, sample was collected from 30 male and 22 female of the age group 10–14 years who were staying at hostel; these children live permanently within accommodation associated with the schools. None of the participants belonging to the age group 5–9 years were staying in hostel (table 1).

Table 1.

Age-wise and gender-wise distribution of the study groups

Age group Mean age Median age Gender Immunisation status Hostel status Total (%)
M F NI I NH H
5–9 years 6.8±1.19 7.0  28 26  6  48  54  0 54 (26.47)
10–14 years 12.12±1.1 12.0  80 70 10 140  98 52 150 (73.53)
Total 108 (52.9) 96 (47.1) 16 (7.84) 188 (92.16) 152 (74.5)  5 (25.4) 204 (100)

Figures in parenthesis depict %.

F, female; H, hostellers; I, immunised; M, male; NI, non-immunised; NH, non-hostellers.

This study depicts that majority of the Hindu and Buddhist participants were from private schools, while majority of the Christian participants were from government school. On comparing the proportion of school children going to government and private school based on their religion, statistical analysis showed significant difference in the trend (χ2=16.25, df=2, p<0.001). Majority of Brahmin and Mongol children were from private school as compared with Dalit who were from government schools (see table 1 in the online supplementary file 1).

Supplementary file 2

bmjresp-2017-000203supp002.pdf (95.6KB, pdf)

Table 2 shows that out of 204 participants, 54 (26.5%) were in age group of 5–9 years, while 150 (73.5%) were in age group of 10–14 years, 102 samples each were collected from government and private school in summer and winter. Among the schools, greater number of organisms were isolated from the students of government school (two organisms/sample) compared with private school (1.78 organisms/sample). Out of the total 394 isolates, maximum number (2.28 organisms/sample) were isolated in winter and rest (1.57 organisms/sample) were isolated in the summer (see table 2 in the online supplementary file 2).

Table 2.

Samples collected from different age groups from government and private school in summer and winter

Type of school Season Number of sample collected Total number of
sample collected
Total number of
organisms isolated
5–9 years 10–14 years
Government Summer 15 37 52 97
Winter 16 34 50 115
Private Summer 11 39 50 64
Winter 12 40 52 118
Total 54 150 204 394
Supplementary file 3

bmjresp-2017-000203supp003.pdf (152.9KB, pdf)

This study revealed that greater number of organisms (1.96 organisms/sample) were isolated from participants of age group 5–9 years compared with (1.92 isolates/sample) age group of 10–14 years (table 3). Maximum number of Viridans streptococci, Moraxella spp, S. pneumoniae, S. aureus, S. pyogenes and K. pneumoniae were isolated from students of government school compared with private school (see table 3 in the online supplementary file 4).

Table 3.

Organisms isolated in different age groups

Organism Age group Total (204 samples) p Value
5–9 years (54 samples) 10–14 years (150 samples)
Viridans streptococci  43 (79.6) 117 (78) 160 (78.4) 0.82
Streptococcus pneumoniae  10 (18.5) 24 (16) 34 (16.6) 0.86
Staphylococcus pyogenes  3 (5.5) 8 (5.3) 11 (5.3) 0.99
Staphylococcus aureus  14 (9.3) 18 (8.8) 0.90
Corynebacterium diphtheriae  9 (16.6) 21 (14) 30 (14.7) 0.85
Beta-haemolytic streptococci  2 (3.7) 5 (3.3) 7 (3.4) 0.98
Moraxella spp.  21 (38.8) 72 (48) 93 (45.5) 0.45
Neisseria meningitidis  2 (3.7) 1 (0.6) 3 (1.4) 0.89
Klebsiella pneumoniae  3 (5.5) 7 (4.6) 10 (4.9) 0.95
Pseudomonas aeruginosa  0 (0) 3 (2.0) 3 (1.4)
Enterobacter spp.  0 (0) 3 (2.0) 3 (1.4)
Citrobacter spp.  1 (1.8) 4 (2.6) 5 (2.4) 0.96
Acinetobacter spp.  1 (1.8) 4 (2.6) 5 (2.4) 0.96
Haemophilus influenzae  2 (1.3) 7 (3.4) 0.73
Haemophilus parainfluenzae  2 (3.7) 3 (2.0) 5 (2.4) 0.91
Total 106 288 394

Figures in parenthesis depict %.

Supplementary file 4

bmjresp-2017-000203supp004.pdf (146.3KB, pdf)

Table 4 shows the number of Gram positive and Gram negative bacteria isolated from throat swabs. The history of repeated throat infection was part of the questionnaire which was sent to parents and also verbally asked with children during examination of upper respiratory tract that does he/she suffer from repeated throat infection, any history of repeated throat infection and how many times in a year. In participants with no history of repeated throat infection, majority of Gram positive bacteria were isolated (one organisms/sample) compared with Gram negative bacteria (0.58 organisms/sample). Majority of Gram positive bacteria were isolated (1.63 organisms/sample) compared with Gram negative bacteria (1.35 organisms/sample) in participants with history of repeated throat infection. Greater number of organisms were isolated from the participants with history of repeated throat infection (2.36 organisms/sample) compared with participants with no history of repeated throat infection (1.57 organisms/sample).

Table 4.

Number and types of organisms isolated with or without repeated throat infection

Isolates Number of isolates (N) Total (204 samples) p Value
No history of repeated throat infection (112samples) History of repeated throat infection (92 samples)
Gram positive bacteria
Viridans streptococci  86 (76.7)  74 (80.4) 160 (78.4) 0.57
Streptococcus pneumoniae  6 (5.3)  28 (30.4) 34 (16.6) 0.21
Streptococcus pyogenes  2 (1.7)  9 (8.0) 11 (5.3) 0.76
 β-haemolytic streptococci (non-Group A)  8 (7.1)  10 (8.9) 18 (8.8) 0.89
Staphylococcus aureus  6 (5.3)  24 (21.4) 30 (14.7) 0.36
Corynebacterium diphtheriae  2 (1.7)  5 (4.4) 7 (3.4) 0.87
Total 110 150 260
Gram negative bacteria
 Moraxella spp  53 (47.3)  40 (43.4) 93 (45.5) 0.71
Neisseria meningitidis  0 (0)  3 (2.6) 3 (1.4) -
Klebsiella pneumoniae  3 (2.6)  7 (6.2) 10 (4.9) 0.82
Pseudomonas aeruginosa  2 (1.7)  1 (0.8) 3 (1.4) 0.95
 Enterobacter spp  2 (1.7)  1 (0.8) 3 (1.4) 0.95
 Citrobacter spp  2 (1.7)  3 (2.6) 5 (2.4) 0.95
 Acinetobacter spp  1 (0.8)  4 (3.5) 5 (2.4) 0.89
Haemophilus influenzae  2 (1.7)  5 (4.4) 7 (3.4) 0.87
Haemophilus parainfluenzae  1 (0.8)  4 (3.5) 5 (2.4) 0.89
Total 66 68 134

Figures in parenthesis depict %.

Table 5 shows high resistance of S. pneumoniae to penicillin (91.17%) and resistance of S. aureus to penicillin (86.6%) and oxacillin (23.3%). S. pyogenes were 100% sensitive to all the antibiotics tested. All the Gram negative isolates were found resistant to ampicillin. H. influenzae and H. parainfluenzae showed 100% resistance to amoxy-clavulanic acid and cotrimoxazole. All the isolates of N. meningitidis were resistant to penicillin.

Table 5.

Antibiotic resistance pattern of Gram positive and Gram negative isolates

Isolates P E CIP CTR OX G COT CN AMP C AZM AMC AK
Streptococcus pneumoniae (34) 91.7 14.7 8.82 5.88 38.2 00
Streptococcus pyogenes (11) 00 00 00 00 00 00
β-haemolytic streptococci (non-Group A) (18) 00 00 00 00 00 00
Staphylococcus aureus (30) 86.6 20 13.3 10 23.3 00
Corynebacterium diphtheriae (7) 28.5 42.8 28.5 00
Klebsiella pneumoniae (10) 00 20 00 00 30 100
Pseudomonas aeruginosa (3) 100 00 00 00 100 100
Enterobacter spp (3) 00 00 33.3 00 33.3 100
Citrobacter spp (4) 00 00 00 100 100 00
Acinetobacter spp (5) 00 00 00 100 100 00
Haemophilus influenzae (7) 00 00 100 00 00 100
Haemophilus parainfluenzae (5) 00 00 100 00 00 100
Neisseria meningitidis (3) 100 00 00 00 00 00

Figures in parenthesis depict %.

AK, amikacin; AMC, amoxy-clavulanic acid; AMP, ampicillin; AZM, azithromycin; C, chloramphenicol; CIP, ciprofloxacin; CN, cephalexin; COT, cotrimoxazole; CTR, ceftriaxone; CZ, cefazolin; E, erythromycin; G, gentamicin; OX, oxacillin, P, penicillin; 00, no resistance; , not tested.

Discussion

Human oropharynx is colonised by wide spectrum of microorganisms from commensal bacteria to potential pathogens. Few studies have been carried so far which highlight the carrier states of these pathogens in school children of Nepal. Higher number of respiratory pathogens was isolated from participants staying in the hostel, while less pathogens were isolated from non-hostellers. Hostel children are more likely to have closer contacts during most of the activities. Hence, there is higher risk of transmission of respiratory pathogens among hostel children.

In our study, majority of the Hindu and Buddhist children were sent to private schools as compared with Christian children going to government school. Statistical analysis revealed significant association between the religious belief and the type of school (χ2=16.25, df=2, p<0.001). This may not reflect the religion as such but socioeconomic status since Christian children are more likely to be from lower socioeconomic status. Majority of Brahmin and Mongol children were sent to private school as compared with Dalit who were sent to government schools. This also highlights the socioeconomic status of the school children based on their ethnicity.

In this study, greater number of organisms (1.96 organisms/sample) was isolated from participants of age group 5–9 years compared with (1.92 isolates/sample) age group of 10–14 years, despite the fact that there were almost three times less participants belonging to this age group. Other studies revealed that greater number of isolates was obtained from school children from this age group.15–17 These findings suggest that school children belonging to age groups 5–9 years are at a higher risk most probably because of immature immune system.

This study shows that children studying in government schools are more potential carriers. Greater number of organisms were isolated from the students of government school (two organisms/sample) compared with private school (1.78 organisms/sample). The reason for these differences could be because of the poor infrastructure of the school and overcrowding. Greater number of organisms (2.28 organisms/sample) was isolated in winter as compared with summer (1.57 organisms/sample). This shows that school children are more likely to be exposed to throat infections during winter. Other studies revealed that more pathogenic organisms were grown in July and also in May and September.18 Another author reported that pathogenic organisms were grown more in March and also from August to October.19 Nandi et al reported bimodal peak during the months of November to January and in August.20 These differences could be dependent on the prevailing geographical and climatic conditions at different places.

In this study, maximum number of S. pneumoniae, S. aureus, S. pyogenes and K. pneumoniae were isolated from participants of government school compared with private school. St. pneumoniae (16.6%) was the most common bacterial pathogen recovered followed by S. aureus (14.7%), β-haemolytic streptococci (non-Group A) (8.8%), S. pyogenes (5.3%) and C. diphtheriae (3.4%). The Gram negative bacterial isolates were K. pneumoniae (4.9%) followed by H. influenzae (3.4%), Acinetobacter species (2.4%) and N. meningitidis (1.4%). In previous studies, authors have reported that these organisms were major respiratory pathogens among school children.21 Review of literature revealed that results of this study are similar to the studies from China,22 Iran23 and South Africa.24

The colonisation rates of S. pneumoniae varies widely; it ranged from 3.5% in Italy to as high as up to 90% in Gambia as compared with this study which revealed carrier rate of 16.6%. Coles et al have shown very high colonisation rate of S. pneumoniae up to 80% in healthy children of Sarlahi, Nepal.25 Different carriage rates of S. pneumoniae have been reported in different geographical areas.26–28 The effect of pneumococcal conjugate vaccines on nasopharyngeal carriage regardless of the carrier protein used lead to reduction in colonisation.29 Interestingly, rate of invasive pneumococcal disease among adults has also declined since the introduction of the vaccine.30 The carrier rate of β-haemolytic streptococci (non-group A) in this study is 8.8% which is comparable with study from India by Devi et al.31 Beta-haemolytic streptococci can cause local infections but are not linked with chronic sequel.

S. pyogenes was another important pathogen isolated from 5.3% of participants in this study is comparable with studies from India and Turkey by Dhakal et al and Gazi et al.32 33 Rijal et al 34 found the prevalence of carriers among primary school children to be 9.2%. Bahadur et al,35 from Nepal, have reported the prevalence of rheumatic heart disease in school children to be 1.2/1000 population. This could be directly related to higher carrier rate of S. pyogenes and needs attention.

H. influenzae was the predominant cause of URTI before the introduction of routine infant immunisation with Hib vaccines with carriage rates of 20%, 57% and 67.9% in Cameroon, India and Saudi Arabia, respectively.36 However, following the Hib vaccine in these and other countries reduced, incidence of H. influenzae infection has been documented. Studies from Costa Rica, Israel and USA reported 57%, 95% and 98% decline, respectively.37 Pharyngeal carrier rate of H. influenzae varies globally, with high prevalence up to 88% in Costa Rica and low prevalence of 3% in Sweden.38 This study revealed carrier rate of 3.4%. The detection rate for H. influenzae is much lower than that of other studies that have used PCR detection likely due to the difficulty in isolating this species by culture. William et al 39 reported 5% carrier rate of H. influenzae among the urban population of Kathmandu, Nepal, which is higher than these results.

Despite routine vaccination, C. diphtheriae was isolated from 3.4% of the participants. This result is comparable with the carrier rate of 2.5% reported by Nweze EI et al.40 Khare et al reported the carrier state of C. diphtheriae as 13.3%.41 The vaccination with diphtheria toxoid protects from illness due to diphtheria toxin but does not prevent colonisation by C. diphtheriae. This showed that colonisation in vaccinated children is likely and may lead to transmission of the organism to the non-vaccinated population. Only few studies have been conducted to determine the prevalence of carrier state of C. diphtheriae. Screening of large population is required to determine geographical prevalence of C. diphtheriae among the children. This also emphasises that effective vaccination must continue to prevent occurrence of diphtheria disease. In former USSR, discontinuation of diphtheria vaccination had led to outbreaks of diphtheria disease. The case fatality rate of respiratory diphtheria even with appropriate treatment is 5%–10%.42

In the present study, N. meningitidis was isolated in 1.4% of participants. According to the data obtained from the studies on school-age children in other countries, nasopharyngeal carriage rate was found to be 2.3% in Spain, 2.8% in Sweden and 6.2% in Nigeria.43 Asymptomatic carriage of N. meningitidis is an important risk factor for developing infection. At present, vaccines for prevention of meningococcal disease are not available in Nepal. Unvaccinated population thus remains at risk of infection and disease from such carriers. Determination of population groups at risk is important for implementing preventive strategies. Prevalence of carrier state of N. meningitidis needs to be studied in larger population and in different locations. Any decision regarding introduction of meningococcal vaccine would need to consider this aspect as well.

Majority of Gram positive bacteria (1.63 organisms/sample) were isolated compared with Gram negative bacteria (1.35 organisms/sample) in participants with history of repeated throat infection (3–4 times in a year). Higher number of pathogens (2.36 organisms/sample) was isolated from participants with history of repeated throat infection compared with the participants who had no history of repeated throat infection (1.57 organisms/sample). Maximum number of S. pyogenes was isolated from participants with history of repeated throat infections; early detection of these cases can prevent rheumatic fever and rheumatic heart disease in future. Similarly, maximum number of C. diphtheriae was isolated from participants presenting with history of repeated throat infections. If routine immunisation falls below 80% and the herd immunity becomes low, these carriers have the potential to start an epidemic.

This study showed that the colonisation rate of respiratory pathogens varies in different geographical location. The possible reason for this variation in the result of our study compared with other studies could be associated with study population which included both government rural school students (lower socioeconomic group) and private urban school students (higher socioeconomic group), while other studies were conducted on one population, vaccination status, season of sampling, socioeconomic status, standard of living and overcrowding of population.

Among the commonly used antimicrobials in URTI, high resistance of S. pneumoniae to penicillin (91.17%) and resistance of S. aureus to penicillin (86.6%) and oxacillin (23.3%) were seen. S. pyogenes was 100% sensitive to all the antibiotics tested. All the Gram negative isolates were found resistant to ampicillin. H. influenzae and H. parainfluenzae showed 100% resistance to amoxy-clavulanic acid and cotrimoxazole. All the isolates of N. meningitidis were resistant to penicillin.

The strength of this study is that most of the bacteria responsible for URTI were isolated. Important findings were isolation of C. diphtheriae, S. pyogenes, S. pneumoniae, H. influenzae and N. meningitidis. Several determinants that influence carrier rate in school children such as the vaccination status, hostel stay, season of sampling, socioeconomic status and school type were studied. This study reveals the risk of respiratory infection among school children and the need for introduction of vaccines. It also provides baseline data in determining effectiveness of vaccination programmes. The weakness is that only the univariate analysis was performed given possible missing covariates and likely confounding factors such as socioeconomic factors and siblings and no possible adjustment for multiple testing. Serotyping and molecular characterisation of microorganisms were not studied.

Conclusion

Considering various findings of the present study, pharyngeal colonisation by S. pneumoniae among school children was found high and there is a need to include pneumococcal vaccines in national immunisation schedule of Nepal. Group A beta-haemolytic streptococcal carriers are potential threat to other healthy children. Hence, a constant monitoring and optimal therapy are necessary to prevent the spread of Group A beta-haemolytic streptococcal pharyngitis, rheumatic fever and carditis among school children. Despite expected universal vaccination, pharyngeal colonisation by C. diphtheriae is possible and there is possibility of transmission. Better understanding of the burden of meningococcal disease will guide next-generation vaccine development and allow accurate assessment of the potential impact of such vaccines if introduced into vaccination calendars. Transmission of respiratory pathogens and occurrence of diseases among school children can be minimised by effective vaccination, screening and treatment of carriers. Surveillance of bacterial infections and monitoring their antimicrobial susceptibility pattern must be carried out in different parts of Nepal. Such data will help in designing and validating the accuracy of guidelines for empirical treatment of URTI.

Acknowledgments

Authors express their sincere gratitude to the Department of Microbiology, Manipal College of Medical Sciences, Pokhara. We extend our sincere thanks to all faculty members and staff of MCOMS. Our special thanks to all the children who participated in this study and the teachers of the respective schools who cooperated during data collection. It was a pleasure to be associated with them through this work.

Footnotes

Contributors: SG conceived and designed the study. ST, SG and ALS prepared the questionnaire. ALS facilitated the study in different schools. ST collected the samples processed the samples. LBS and ST analysed the results. SA, RG, SS and PN prepared the initial draft of the manuscript. ST and SG searched the scientific literature. ST, SG and SA prepared and refined the manuscript.

Competing interests: None declared.

Patient consent: Obtained.

Ethics approval: Institutional Ethics and Research Committee of Manipal College of Medical Sciences (MCOMS), Pokahra, Nepal.

Provenance and peer review: Not commissioned; externally peer reviewed.

Data sharing statement: Request for data sharing can be made to the corresponding author.

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Supplementary Materials

Supplementary file 1

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Supplementary file 2

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Supplementary file 3

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Supplementary file 4

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