2023 жылғы эпидемиялық маусымда Қазақстанда көптеген инфекцияларға RT-PCR әдісімен анықталған жедел респираторлық инфекциялардың қоздырғыштары
Аннотация
Кіріспе. Жедел респираторлық инфекциялар қоғамдық денсаулық сақтаудың маңызды мәселелерінің бірі болып қала береді, ал Қазақстандағы вирустық және бактериялық респираторлық қоздырғыштардың бір мезгілде таралу спектрін сипаттайтын кешенді деректер шектеулі. Нақты уақыттағы мультиплексті ПТР көптеген респираторлық нысананы бір уақытта анықтауға және маусымдық сырқаттанушылық кезеңіндегі эпидемиологиялық жағдайды жан-жақты бағалауға мүмкіндік береді.
Мақсаты. 2023–2024 жылдардағы эпидемиялық маусымда Алматы қаласында жедел респираторлық инфекциясы бар пациенттер арасында вирустық және бактериялық респираторлық қоздырғыштардың таралуын нақты уақыттағы мультиплексті ПТР әдісімен зерттеу, сондай-ақ жас ерекшеліктеріне байланысты анықталу жиілігін және бірнеше нысананың бір мезгілде оң болу жиілігін бағалау.
Материалдар мен әдістер. 2023 жылғы қараша мен 2024 жылғы қаңтар аралығында клиникалық тұрғыдан жедел респираторлық инфекция диагнозы қойылған 374 пациенттен алынған респираторлық үлгілер 19 вирустық және 11 бактериялық нысананы қамтитын 30 респираторлық қоздырғышқа арналған нақты уақыттағы мультиплексті ПТР тесттерімен зерттелді. Қоздырғыштардың анықталу жиілігі, жас ерекшеліктеріне байланысты оң нәтижелер және бір мезгілде анықталған ПТР нысаналарының комбинациялары сипаттамалық түрде бағаланды.
Нәтижелер. Вирустық нысаналар 374 пациенттің 195-інде (52,1%) анықталды. Ең жиі риновирус (24,3%) және А тұмауы вирусы (14,7%) анықталды. Бактериялық нысаналар 240 пациентте (64,2%) тіркелді; олардың ішінде Haemophilus influenzae, Streptococcus pneumoniae және Moraxella catarrhalis басым болды. Бірнеше ПТР нысанасының бір мезгілде оң болуы 202 пациентте (54,0%) тіркелді: 94 пациентте екі, 67 пациентте үш, 41 пациентте төрт және одан да көп оң нысана анықталды. Сонымен қатар жекелеген вирустық және бактериялық қоздырғыштардың жасқа байланысты анықталу ерекшеліктері байқалды.
Талқылау. Нәтижелер эпидемиялық маусымдағы респираторлық қоздырғыштар құрылымының әртектілігін және бірнеше молекулалық нысананың бір мезгілде анықталуының жоғары жиілігін көрсетті. Алайда ПТР арқылы бактериялық ДНҚ-ның анықталуы колонизацияны белсенді инфекциядан бірмәнді ажыратуға мүмкіндік бермейді. Сонымен қатар А тұмауы вирусының жалпы нысанасы мен оның белгілі бір қосалқы типінің бір мезгілде оң болуы екі дербес вирустық инфекция ретінде автоматты түрде қарастырылмауы тиіс. Сондықтан бірнеше оң нәтижені қосымша клиникалық және микробиологиялық деректер болмаған жағдайда расталған клиникалық коинфекция ретінде емес, молекулалық бірлескен анықталу ретінде бағалау дұрысырақ.
Қорытынды. Нақты уақыттағы мультиплексті ПТР 2023–2024 жылдардағы маусымда Алматы қаласында ЖРИ бар пациенттер арасында таралған респираторлық қоздырғыштардың спектрін кешенді сипаттауға мүмкіндік берді. Вирустық нысаналар арасында риновирус пен А тұмауы вирусы, ал бактериялық нысаналар арасында H. influenzae, S. pneumoniae және M. catarrhalis басым болды. Алынған нәтижелер бактериялық және бірнеше ПТР-оң нәтижелерді сақтықпен интерпретациялау қажеттілігін ескере отырып, мультиплексті молекулалық диагностиканың эпидемиологиялық қадағалау мен клиникалық шешімдерді қолдаудағы әлеуетін көрсетеді.
Кілт сөздер:
Толық мәтін
Introduction
Acute respiratory infections (ARIs) remain one of the leading causes of morbidity and mortality worldwide, particularly affecting vulnerable populations such as children, older adults, and individuals with chronic illnesses [1]. According to the World Health Organization (WHO), ARIs account for a substantial proportion of healthcare visits and hospitalizations during seasonal peaks, especially in winter [2]. Viral pathogens such as rhinoviruses, influenza viruses, and respiratory syncytial virus (RSV) are frequently detected in ARIs. Bacterial pathogens, including Streptococcus pneumoniae and Staphylococcus aureus, may also be identified as primary pathogens or in mixed detections [3]. Rapid and accurate identification of respiratory pathogens is important for clinical management and infection-control strategies [4].
In Kazakhstan, ARIs represent a persistent public health burden, with seasonal outbreaks placing considerable strain on healthcare systems [5]. Although ARIs are known to impose a substantial disease burden, regional epidemiological surveillance studies characterizing both viral and bacterial detections remain limited. The prevalence and clinical implications of simultaneous detection of multiple respiratory pathogens are also insufficiently characterized in the local context, despite evidence that clinically confirmed co-infections may be associated with increased disease severity and prolonged hospitalization [6, 7].
Conventional diagnostic approaches, including culture-based methods and serology, can be time-consuming and may have limited sensitivity for some pathogens [8]. Multiplex real-time polymerase chain reaction (PCR), in contrast, enables simultaneous detection of multiple respiratory targets within a short time frame. This technology has been widely used for clinical diagnostics and epidemiological monitoring of respiratory pathogens, particularly during influenza and COVID-19 epidemics [9-15].
The 2023–2024 respiratory season in Kazakhstan was marked by increased ARI activity [5]. Despite the growing use of multiplex PCR in surveillance systems, regional data comprehensively describing circulating viral and bacterial respiratory targets and multi-pathogen detections during epidemic periods remain limited. Such data can support diagnostic strategies, antimicrobial stewardship, and public health responses [7].
This study aimed to analyze the distribution of viral and bacterial respiratory pathogens among patients with ARIs in Almaty during the 2023–2024 epidemic season using a multiplex real-time PCR panel capable of detecting 30 respiratory pathogens. Age-specific detection patterns and the frequency of simultaneous detection of multiple pathogens were also assessed.
Materials and Methods
Study design and setting. This descriptive laboratory-based study included patients with clinically diagnosed ARIs tested in Almaty, Kazakhstan, between November 2023 and January 2024. A total of 374 patients were included.
Laboratory testing. Respiratory specimens were tested at the OHKZ laboratory using Allplex™ Respiratory Panel 1–4 kits (Seegene, Republic of Korea) together with an OHKZ-developed assay for four additional bacterial targets. The combined testing scheme comprised 30 respiratory targets, described in the source manuscript as 19 viral and 11 bacterial targets (Table 1).
Variables and definitions. Outcomes included detection of at least one viral target, detection of at least one bacterial target, age-specific pathogen detection rates, and simultaneous detection of multiple targets. Multi-pathogen detections were categorized as two, three, or four or more detected targets per patient. Age categories were 0–1, 2–5, 6–10, 11–20, 21–30, 31–40, 41–50, 51–60, and ≥61 years, consistent with Figures 3 and 4.
Statistical analysis. Data were summarized descriptively using absolute counts and percentages. No inferential statistical testing is reported; therefore, between-month and between-age comparisons are interpreted descriptively rather than as statistically significant differences.
Reporting completeness. The source manuscript does not specify the respiratory specimen type(s), sampling and transport procedures, nucleic acid extraction method, PCR instrument, Ct cut-off/interpretation criteria, positive, negative and internal controls, or detailed quality-control procedures. These parameters were not reconstructed and should be supplied from the laboratory protocol by the authors before submission to ensure reproducibility.
Table 1 - Respiratory pathogens targeted by Allplex™ Respiratory Panel Kits (Seegene, Republic of Korea)
|
Reagents |
Target category |
Target pathogen |
Abbreviations |
|
AllplexTM Respiratory Panel 1 (Seegene, South Korea) |
7
Viruses, including variants of Influenza A |
Respiratory Syncytial Virus A Respiratory Syncytial Virus B Influenza A virus Influenza A (H1) Influenza A (H1N1 pdm09) Influenza A (H3) Influenza B virus |
RSV A RSV B Flu A Flu A (H1) Flu A (H1N1) Flu A (H3) Flu B |
|
AllplexTM Respiratory Panel 2 (Seegene, South Korea) |
7 Viruses |
Human Adenovirus Human Enterovirus Parainfluenza virus 1 Parainfluenza virus 2 Parainfluenza virus 3 Parainfluenza virus 4 Metapneumovirus |
HADV HEV PIV 1 PIV 2 PIV 3 PIV 4 MNV |
|
AllplexTM Respiratory Panel 3 (Seegene, South Korea) |
5 Viruses Including 3 Variants of Coronavirus |
Bocavirus Rhinovirus Coronavirus NL63 Coronavirus 229E Coronavirus OC43 |
BoV RhV CoV NL63 CoV 229E CoV OC43 |
|
AllplexTM Respiratory Panel 4 (Seegene, South Korea) |
7 Bacteria |
Streptococcus pneumoniae Mycoplasma pneumoniae Haemophilus influenzae Legionella pneumophila Chlamydophila pneumoniae Bordetella pertussis Bordetella parapertussis |
S. pneumoniae M. pneumoniae H. influenzae L. pneumophila C. pneumoniae B. pertussis B. parapertussis |
|
Respiratory Bacteria, 4 types (The test was developed in the OHKZ Laboratory) |
4 Bacteria |
Klebsiella pneumoniae Pseudomonas aeruginosa Staphylococcus aureus Moraxella catarrhalis |
K. pneumoniae P. aeruginosa S. aureus M. catarrhalis |
Results
I. Respiratory viral detections
Among 374 examined patients, at least one viral pathogen was detected in 195 (52.1%). The most frequently detected viruses were rhinovirus (24.3%), influenza A virus (14.7%), and adenovirus (5.9%). In December 2023, relatively high detection rates were observed for influenza A virus and respiratory syncytial virus A (RSV A), whereas in January 2024 the detection rates of rhinovirus, adenovirus, and RSV A increased (Figure 1).
Figure 1 - Detection rates of respiratory viruses among ARI patients in Almaty, Kazakhstan,
from November 2023 to January 2024 using multiplex real-time PCR
II. Respiratory bacterial detections
Respiratory bacterial targets were detected in 240 of 374 patients (64.2%). The most common bacterial detections were Haemophilus influenzae (32.9%), Streptococcus pneumoniae (24.9%), Moraxella catarrhalis (23.8%), Staphylococcus aureus (12.8%), Klebsiella pneumoniae (3.5%), and Pseudomonas aeruginosa (1.6%). Mycoplasma pneumoniae was not detected. Bordetella pertussis was detected in 2.4% of cases (Figure 2).
Figure 2 - Detection rates of respiratory bacterial pathogens among ARI patients in Almaty, Kazakhstan,
from November 2023 to January 2024.
III. Positivity rates of respiratory pathogens by age
Positivity rates of respiratory viruses by age
Age-specific viral detection rates were evaluated descriptively. Most viral targets were detected more frequently in children younger than 5 years than in adults, with the exception of influenza A virus. In the 0–1-year age category, adenovirus (14.3%), RSV A (11.4%), and RSV B (14.3%) showed higher positivity rates than in several older age categories (Figure 3). The overall positivity rate for influenza A virus was 14.7%, with the highest observed rate in the 31–40-year age group; among patients aged ≥61 years, the rate was 15.9%. In children aged ≤10 years, the average positivity rate for rhinovirus was 35.2%, the highest among the reported viral detections (Figure 3).
Figure 3 - Positivity rates of respiratory viruses by age
Positivity rates of respiratory bacteria by age
In children younger than 10 years, H. influenzae, S. pneumoniae, and M. catarrhalis were among the most frequently detected bacterial targets, whereas H. influenzae and S. aureus predominated among adults. B. pertussis was detected across several age categories (Figure 4).
Figure 4 - Positivity rates of respiratory bacteria by age
IV. Multiple respiratory pathogen detections
Among the 374 patients tested, a single viral target was detected in 33 patients (8.8%), a single bacterial target in 63 patients (16.8%), and no investigated target was detected in 76 patients (20.3%). Multiple positive assay targets were recorded in 202 patients (54.0%). Among the 202 patients with multiple positive targets, two targets were detected in 94 patients (46.5%), three in 67 patients (33.2%), and four or more in 41 patients (20.3%) (Figure 5).
Among the bacterial targets represented in the multiple-detection profiles, Streptococcus pneumoniae, Staphylococcus aureus, Haemophilus influenzae, Moraxella catarrhalis, and Klebsiella pneumoniae were among the most frequently detected (Table 2).
Figure 5 - Distribution of single and multiple respiratory pathogen detections among ARI patients
Table 2 - Combinations of multiple respiratory pathogen targets detected by multiplex real-time PCR
|
Multiple detection (2 targets) |
Multiple detection (3 targets) |
||||
|
Category |
Pathogens |
N. of case |
Category |
Pathogens |
N. of case |
|
Bacteria |
H.influenzae+S.pneumoniae |
8 |
Bacteria |
H.influenzae+M.catarrhalis+S.pneumoniae |
6 |
|
H.influenzae+M.catarrhalis |
6 |
H.influenzae+K.pneumoniae+S.aureus |
2 |
||
|
M.catarrhalis+S.pneumoniae |
5 |
M.catarrhalis+S.aureus+S.pneumoniae |
1 |
||
|
K.pneumoniae+S.aureus |
3 |
Mixed (Virus |
H.influenzae+S.pneumoniae+Rhinovirus |
8 |
|
|
H.influenzae+S.aureus |
2 |
M.catarrhalis+Influenza A virus+Influenza A virus H3 |
7 |
||
|
S.aureus+S.pneumoniae |
2 |
H.influenzae+Influenza A virus+Influenza A virus H3 |
5 |
||
|
B.pertussis+H.influenzae |
1 |
H.influenzae+M.catarrhalis+Adenovirus |
3 |
||
|
B.pertussis+S.aureus |
1 |
H.influenzae+M.catarrhalis+Rhinovirus |
3 |
||
|
H.influenzae+K.pneumoniae |
1 |
S.pneumoniae+Influenza A virus+Influenza A virus H3 |
3 |
||
|
H.influenzae+P.aeruginosa |
1 |
H.influenzae+M.catarrhalis+Respiratory syncytial virus A |
2 |
||
|
K.pneumoniae+M.catarrhalis |
1 |
H.influenzae+S.pneumoniae+Respiratory syncytial virus B |
2 |
||
|
Virus |
M.catarrhalis+Rhinovirus |
8 |
H.influenzae+Adenovirus+Rhinovirus |
2 |
|
|
H.influenzae+Rhinovirus |
6 |
M.catarrhalis+S.pneumoniae+Rhinovirus |
2 |
||
|
S.pneumoniae+Rhinovirus |
4 |
S.aureus+S.pneumoniae+Rhinovirus |
2 |
||
|
M.catarrhalis+Respiratory syncytial virus B |
3 |
S.aureus+Influenza A virus+Influenza A virus H3 |
2 |
||
|
H.influenzae+Respiratory syncytial virus A |
2 |
H.influenzae+S.aureus+Respiratory syncytial virus B |
1 |
||
|
H.influenzae+Respiratory syncytial virus B |
2 |
H.influenzae+S.aureus+Rhinovirus |
1 |
||
|
M.catarrhalis+Adenovirus |
2 |
H.influenzae+S.pneumoniae+Adenovirus |
1 |
||
|
S.pneumoniae+Respiratory syncytial virus A |
2 |
H.influenzae+S.pneumoniae+Parainfluenza virus 4 |
1 |
||
|
S.pneumoniae+Respiratory syncytial virus B |
2 |
H.influenzae+S.pneumoniae+Respiratory syncytial virus A |
1 |
||
|
B.pertussis+Adenovirus |
1 |
H.influenzae+Bocavirus+Rhinovirus |
1 |
||
|
B.pertussis+Coronavirus 229E |
1 |
M.catarrhalis+S.aureus+Rhinovirus |
1 |
||
|
B.pertussis+Rhinovirus |
1 |
M.catarrhalis+S.pneumoniae+Coronavirus NL63 |
1 |
||
|
C.pneumoniae+Adenovirus |
1 |
M.catarrhalis+S.pneumoniae+Respiratory syncytial virus A |
1 |
||
|
H.influenzae+Adenovirus |
1 |
S.aureus+S.pneumoniae+Parainfluenza virus 4 |
1 |
||
|
H.influenzae+Parainfluenza virus 2 |
1 |
S.aureus+S.pneumoniae+Respiratory syncytial virus B |
1 |
||
|
H.influenzae+Parainfluenza virus 3 |
1 |
S.aureus+Enterovirus+Parainfluenza virus 4 |
1 |
||
|
K.pneumoniae+Respiratory syncytial virus B |
1 |
S.pneumoniae+Enterovirus+Rhinovirus |
1 |
||
|
M.catarrhalis+Bocavirus |
1 |
Virus only |
Influenza A virus+Influenza A virus H3+Rhinovirus |
3 |
|
|
M.catarrhalis+Enterovirus |
1 |
Influenza A virus+Influenza A virus H3 virus 3 +Parainfluenza |
1 |
||
|
P.aeruginosa+Rhinovirus |
1 |
||||
|
S.aureus+Parainfluenza virus 1 |
1 |
||||
|
S.aureus+Rhinovirus |
1 |
||||
|
Virus+Virus |
Influenza A virus+Influenza A virus H3 |
18 |
|||
|
Coronavirus NL63+Parainfluenza virus 4 |
1 |
||||
|
Total |
94 |
Total |
67 |
||
|
Multiple detection (4 or more targets) |
|||||
|
Pathogens |
N. of case |
||||
|
H.influenzae+M.catarrhalis+S.pneumoniae+Rhinovirus |
4 |
||||
|
M.catarrhalis+S.pneumoniae+Influenza A virus+Influenza A virus H3 |
2 |
||||
|
B. pertussis+H.influenzae+M. catarrhalis+S.pneumoniae+Adenovirus+Rhinovirus |
1 |
||||
|
B.pertussis+H.influenzae+M.catarrhalis+S.pneumoniae+Respiratory syncytial virus B |
1 |
||||
|
B.pertussis+H.influenzae+M.catarrhalis+S.pneumoniae+Rhinovirus |
1 |
||||
|
B.pertussis+H.influenzae+S.pneumoniae+Adenovirus |
1 |
||||
|
C.pneumoniae+H.influenzae+M. catarrhalis+S.pneumoniae+Adenovirus+Respiratory syncytial virus A+Rhinovirus |
1 |
||||
|
H.influenzae+K.pneumoniae+S.aureus+Influenza A virus+Influenza A virus H3 |
1 |
||||
|
H.influenzae+M.catarrhalis+P.aeruginosa+Adenovirus+Rhinovirus |
1 |
||||
|
H.influenzae+M.catarrhalis+S.aureus+S.pneumoniae+Influenza A virus+Influenza A virus H3 |
1 |
||||
|
H.influenzae+M.catarrhalis+S.aureus+S.pneumoniae+Rhinovirus |
1 |
||||
|
H.influenzae+M.catarrhalis+S.aureus+Influenza A virus+Influenza A virus H3+Rhinovirus |
1 |
||||
|
H.influenzae+M.catarrhalis+S.pneumoniae+Adenovirus+Respiratory syncytial virus A |
1 |
||||
|
H.influenzae+M.catarrhalis+S.pneumoniae+Bocavirus |
1 |
||||
|
H.influenzae+M.catarrhalis+S.pneumoniae+Enterovirus |
1 |
||||
|
H.influenzae+M.catarrhalis+S.pneumoniae+Parainfluenza virus 3+Rhinovirus |
1 |
||||
|
H.influenzae+M.catarrhalis+S.pneumoniae+Parainfluenza virus 4 |
1 |
||||
|
H.influenzae+M.catarrhalis+S.pneumoniae+Respiratory syncytial virus B |
1 |
||||
|
H.influenzae+M.catarrhalis+S.pneumoniae+Respiratory syncytial virus B+Rhinovirus |
1 |
||||
|
H.influenzae+M.catarrhalis+Enterovirus+Influenza A virus+Influenza A virus H3+Rhinovirus |
1 |
||||
|
H.influenzae+M.catarrhalis+Enterovirus+Parainfluenza virus 3+Rhinovirus |
1 |
||||
|
H.influenzae+M.catarrhalis+Influenza A virus+Influenza A virus H3 |
1 |
||||
|
H.influenzae+P.aeruginosa+S.pneumoniae+Influenza A virus+Influenza A virus H3 |
1 |
||||
|
H.influenzae+S.aureus+Influenza A virus+Influenza A virus H3 |
1 |
||||
|
H.influenzae+S.pneumoniae+Adenovirus+Respiratory syncytial virus A+Rhinovirus |
1 |
||||
|
H.influenzae+S.pneumoniae+Influenza A virus+Influenza A virus H3 |
1 |
||||
|
H.influenzae+S.pneumoniae+Influenza A virus+Influenza A virus H3+Parainfluenza virus 3 |
1 |
||||
|
H.influenzae+S.pneumoniae+Influenza A virus+Influenza A virus H3+Rhinovirus |
1 |
||||
|
H.influenzae+Adenovirus+Bocavirus+Respiratory syncytial virus B+Rhinovirus |
1 |
||||
|
H.influenzae+Influenza A virus+Influenza A virus H3+Rhinovirus |
1 |
||||
|
K.pneumoniae+S.aureus+Influenza A virus+Influenza A virus H3 |
1 |
||||
|
M.catarrhalis+S.pneumoniae+Adenovirus+Respiratory syncytial virus B |
1 |
||||
|
M.catarrhalis+S.pneumoniae+Influenza A virus+Influenza A virus H3+Rhinovirus |
1 |
||||
|
M.catarrhalis+Adenovirus+Respiratory syncytial virus A+Rhinovirus |
1 |
||||
|
S.aureus+S.pneumoniae+Enterovirus+Respiratory syncytial virus A+Rhinovirus |
1 |
||||
|
S.pneumoniae+Adenovirus+Coronavirus NL63+Rhinovirus |
1 |
||||
|
Adenovirus+Bocavirus+Influenza A virus+Influenza A virus H3+Respiratory syncytial virus A |
1 |
||||
|
Total |
41 |
||||
Discussion
This study describes the distribution of respiratory pathogen detections during the 2023–2024 epidemic season in Almaty, Kazakhstan, using multiplex real-time PCR. Among 374 patients with ARIs, viral targets were detected in 52.1%, with rhinovirus (24.3%) and influenza A virus (14.7%) the most common. Bacterial targets were detected in 64.2%, most often H. influenzae, S. pneumoniae, and M. catarrhalis. Multiple targets were reported in 54.0% of patients, indicating a high frequency of mixed molecular detections in the study sample.
These findings are broadly consistent with international evidence showing that rhinovirus, RSV, influenza viruses, and major bacterial respiratory pathogens contribute substantially to the burden of acute and lower respiratory infections [1]. The relative frequency of individual pathogens, however, varies by age, clinical setting, geography, season, sampling strategy, and diagnostic platform.
In a multicenter study of adults hospitalized with community-acquired pneumonia in the United States, rhinovirus, influenza virus, and RSV were among the most common viral detections, while S. pneumoniae and H. influenzae were also identified [3]. Jiang et al. demonstrated the feasibility of a three-tube multiplex real-time PCR assay for simultaneous detection of nine microorganisms causing ARIs, supporting the broader diagnostic principle of multiplex molecular testing [15]. In an Italian hospital series, rhinovirus/enterovirus, RSV, and influenza viruses were among the leading respiratory viral detections, with age-related differences and co-detections particularly relevant in pediatric samples [16]. Longitudinal surveillance in Moscow likewise documented persistent seasonal circulation of influenza viruses, RSV, rhinovirus, and other respiratory viruses [17].
In Kazakhstan, the present findings are broadly aligned with previous observations. A metagenomic study of adult ARI patients identified human rhinovirus (16.3%), betaherpesvirus 7 (14.3%), and Epstein-Barr virus (8.2%) among prevalent viral agents, with Streptococcus spp., Pseudomonas aeruginosa, and Burkholderia spp. among bacterial contributors [18]. A media report citing national sanitary-epidemiological surveillance data for the same epidemic season indicated that rhinovirus accounted for the largest proportion of non-influenza respiratory virus detections, followed by RSV, adenovirus, coronavirus, parainfluenza virus, bocavirus, and metapneumovirus [5]. These observations are directionally consistent with the prominence of rhinovirus and RSV in the present dataset, although differences in population, sampling, and testing methods limit direct comparison.
Taken together, the results underscore the complexity of respiratory pathogen detection in ARIs and the presence of age-specific patterns. Multiplex PCR provides rapid, broad detection and may support diagnostic decision-making and antimicrobial stewardship when interpreted together with clinical findings. Prior studies have associated clinically confirmed viral-bacterial co-infections with greater disease severity and worse outcomes in selected pediatric and adult hospitalized populations [19, 20]. However, the present study did not collect clinical outcome data and therefore cannot establish an association between multi-target detection and disease severity. In addition, bacterial PCR positivity may reflect colonization rather than active infection; detection alone should not be used as a stand-alone indication for antibiotic therapy [21].
Evidence from interventional studies also supports cautious interpretation of molecular diagnostics. In a randomized trial of hospitalized patients with community-acquired pneumonia, adding multiplex real-time PCR to conventional microbiological testing increased etiological detection but did not produce a statistically significant reduction in total antibiotic days; the authors did not support routine implementation of the strategy as an initial test for all hospitalized CAP patients [21]. Thus, the value of multiplex PCR is greatest when results are integrated with clinical assessment, sample quality, and antimicrobial stewardship rather than interpreted in isolation.
Limitations of the study
This study has several limitations. First, it was conducted in a single city over a three-month epidemic-season period, which limits the generalizability of the findings to other regions of Kazakhstan and to other respiratory seasons. Second, clinical outcome data were not available; therefore, associations between detected pathogens, multiple detections, and disease severity could not be assessed. Third, detection of bacterial DNA by PCR does not distinguish colonization from active bacterial infection, particularly for organisms that may colonize the upper respiratory tract. Fourth, the multiplex panel contains both generic influenza A and subtype-specific targets. Consequently, simultaneous positivity for these assay targets may represent a single influenza A infection rather than infection with two independent viruses, and target-level counting may overestimate the number of distinct pathogens in some multi-positive profiles. Finally, the analysis was descriptive and did not include inferential or multivariable statistical testing. These limitations should be considered when interpreting the reported positivity and multiple-detection rates.
Conclusion
Multiplex real-time PCR provided broad characterization of respiratory pathogens detected among patients with acute respiratory infections in Almaty during the 2023–2024 season. Rhinovirus and influenza A virus predominated among viral detections, whereas H. influenzae, S. pneumoniae, and M. catarrhalis were the most frequently detected bacterial targets. Multiple assay targets were reported in more than half of patients, but these findings should be interpreted as molecular co-detection rather than confirmed clinical co-infection without additional clinical and microbiological evidence. The results support the potential value of multiplex molecular diagnostics for respiratory surveillance and clinical decision support, while emphasizing cautious interpretation of bacterial and multiple-target PCR positivity.Әдебиеттер тізімі
- GBD 2021 Lower Respiratory Infections and Antimicrobial Resistance Collaborators. Global, regional, and national incidence and mortality burden of non-COVID-19 lower respiratory infections and aetiologies, 1990–2021: a systematic analysis from the Global Burden of Disease Study 2021. Lancet Infect Dis. 2024;24(9):974-1002. doi:10.1016/S1473-3099(24)00176-2.
- World Health Organization. Trends of acute respiratory infection, including human metapneumovirus, in the Northern Hemisphere. Disease Outbreak News. 2025 Jan 7. Available from: https://www.who.int/emergencies/disease-outbreak-news/item/2025-DON550
- Jain S, Self WH, Wunderink RG, Fakhran S, Balk R, Bramley AM, et al. Community-acquired pneumonia requiring hospitalization among U.S. adults. N Engl J Med. 2015;373(5):415-427. doi:10.1056/NEJMoa1500245.
- Jiang XW, Huang TS, Xie L, Chen SZ, Wang SD, Huang ZW, et al. Development of a diagnostic assay by three-tube multiplex real-time PCR for simultaneous detection of nine microorganisms causing acute respiratory infections. Sci Rep. 2022;12:13306. doi:10.1038/s41598-022-15543-6.
- Tengrinews.kz. Metapneumovirus in Kazakhstan: Healthcare Ministry made a statement. Tengrinews.kz. 2024 Apr 26. Available from: https://en.tengrinews.kz/kazakhstan_news/metapneumovirus-in-kazakhstan-healthcare-ministry-made-a-266032/
- Martin ET, Fairchok MP, Stednick ZJ, Kuypers J, Englund JA. Epidemiology of multiple respiratory viruses in childcare attendees. J Infect Dis. 2013;207(6):982-989. doi:10.1093/infdis/jis934.
- Mahony JB. Detection of respiratory viruses by molecular methods. Clin Microbiol Rev. 2008;21(4):716-747. doi:10.1128/CMR.00037-07.
- Kim H, Hur M, Moon HW, Yun YM, Cho HC. Comparison of two multiplex PCR assays for the detection of respiratory viral infections. Clin Respir J. 2014;8(4):391-396. doi:10.1111/crj.12083.
- Sanghavi SK, Bullotta A, Husain S, Rinaldo CR. Clinical evaluation of multiplex real-time PCR panels for rapid detection of respiratory viral infections. J Med Virol. 2012;84(1):162-169. doi:10.1002/jmv.22186.
- Mahony JB, Petrich A, Smieja M. Molecular diagnosis of respiratory virus infections. Crit Rev Clin Lab Sci. 2011;48(5-6):217-249. doi:10.3109/10408363.2011.640976.
- Mahony JB, Blackhouse G, Babwah J, Smieja M, Buracond S, Chong S, et al. Cost analysis of multiplex PCR testing for diagnosing respiratory virus infections. J Clin Microbiol. 2009;47(9):2812-2817. doi:10.1128/JCM.00556-09.
- Speers DJ. Clinical applications of molecular biology for infectious diseases. Clin Biochem Rev. 2006;27(1):39-51.
- Gharabaghi F, Hawan A, Drews SJ, Richardson SE. Evaluation of multiple commercial molecular and conventional diagnostic assays for the detection of respiratory viruses in children. Clin Microbiol Infect. 2011;17(12):1900-1906. doi:10.1111/j.1469-0691.2011.03529.x.
- Liolios L, Jenney A, Spelman D, Kotsimbos T, Catton M, Wesselingh S. Comparison of a multiplex reverse transcription-PCR-enzyme hybridization assay with conventional viral culture and immunofluorescence techniques for the detection of seven viral respiratory pathogens. J Clin Microbiol. 2001;39(8):2779-2783. doi:10.1128/JCM.39.8.2779-2783.2001.
- Jiang XW, Huang TS, Xie L, Chen SZ, Wang SD, Huang ZW, et al. Development of a diagnostic assay by three-tube multiplex real-time PCR for simultaneous detection of nine microorganisms causing acute respiratory infections. Sci Rep. 2022;12:13306. doi:10.1038/s41598-022-15543-6.
- Leli C, Di Matteo L, Gotta F, Vay D, Piceghello A, Cornaglia E, et al. Prevalence of respiratory viruses by multiplex PCR: a four-and-a-half year retrospective study in an Italian general hospital. Infez Med. 2021;29(1):94-101.
- Vetrova EN, Chernyshova AI, Pritchina TN, Isaeva EI, Morozova OV. Monitoring of respiratory viral infections in Moscow during 2011–2022. Mikrobiologiia. 2023;100(5):328-337. doi:10.36233/0372-9311-376.
- Sandybayev N, Beloussov V, Strochkov V, Solomadin M, Granica J, Yegorov S. Metagenomic profiling of nasopharyngeal samples from adults with acute respiratory infection. R Soc Open Sci. 2024;11(7):240108. doi:10.1098/rsos.240108.
- Ma X, Wu Y, De R, Yao H, He F, Wang Y, et al. Impact of co-infections and immune responses on clinical severity of human adenovirus 3 and 7 infections in hospitalized children with lower respiratory tract infections: a comparative study. Front Cell Infect Microbiol. 2025;14:1482787. doi:10.3389/fcimb.2024.1482787.
- Liu Y, Ling L, Wong SH, Wang MHT, Fitzgerald JR, Zou X, et al. Outcomes of respiratory viral-bacterial co-infection in adult hospitalized patients. EClinicalMedicine. 2021;37:100955. doi:10.1016/j.eclinm.2021.100955.
- Abelenda-Alonso G, Calatayud L, Rombauts A, Meije Y, Oriol I, Sopena N, et al. Multiplex real-time PCR in non-invasive respiratory samples to reduce antibiotic use in community-acquired pneumonia: a randomised trial. Nat Commun. 2024;15(1):7098. doi:10.1038/s41467-024-51547-8.
Мәлімдемелер
- Этикалық мақұлдау
- Исследование основывалось на анализе данных, полученных в рамках рутинной лабораторной диагностики, и не предусматривало изменения стандартного объема медицинской помощи или дополнительных вмешательств в отношении пациентов. В соответствии с применимыми локальными требованиями отдельное одобрение этического комитета и получение дополнительного информированного согласия для данного вида анализа не требовались.
- Авторлардың үлесі
- Концептуализация - Heesuk Min; методология - Yongha Kim; валидация - Yoonkyung Choi; формальный анализ - Seiick Joo, Умирбекова Лаззат Жаксылыковна; проведение исследования - Yongha Kim, Yoonkyung Choi, Абирова Жазира Мейрамовна, Утаганов Бахыт Кустаевич; ресурсы - Seehyen Ham; курирование данных - Seiick Joo, Амина Мурадалиева; написание первоначального варианта рукописи - Салима Мамутбаева, Minjoong Jang; рецензирование и редактирование рукописи - Mincheol Lee, Minjoong Jang; визуализация - Амина Мурадалиева, Seehyen Ham; научное руководство - Mincheol Lee; администрирование проекта - Geonsang Park. Все авторы ознакомились с окончательной версией рукописи и одобрили ее.
- Мүдделер қақтығысы
- Авторы заявляют об отсутствии конфликта интересов.
- Қаржыландыру
- Внешнее финансирование исследования не заявлено.
- Деректердің қолжетімділігі
- В рукописи представлены агрегированные результаты исследования. Условия доступа к исходному обезличенному набору индивидуальных данных в исходной версии не указаны и должны быть уточнены автором для корреспонденции до подачи статьи.
Mamutbayeva S., Mincheol Lee, Geonsang Park, Heesuk Min, Minjoong Jang, Seiick Joo, Yongha Kim, Seehyen Ham, Yoonkyung Choi, Muradalieva A., Abiyrova Zh.M., Utaganov B.K., Umirbekova L.Zh.. Respiratory pathogens detected by multiplex real-time PCR in patients with acute respiratory infections in Almaty, Kazakhstan, during the 2023–2024 epidemic season. Scientific and Practical Journal «Medicine, Science and Education». 2025;(2):45-61. DOI: 10.24412/1609-8692-2025-2-136-150.