Impact of the coronavirus disease 2019 pandemic on the incidence of other infectious diseases in the hematology hospital in Korea

Seohee Oh; Yu-Sun Sung; Mihee Jang; Yong-Jin Kim; Hyun-Wook Park; Dukhee Nho; Dong-Gun Lee; Hyeon Woo Yim; Sung-Yeon Cho

doi:10.3904/kjim.2023.508

Korean J Intern Med > Volume 39(3); 2024 > Article

Oh, Sung, Jang, Kim, Park, Nho, Lee, Yim, and Cho: Impact of the coronavirus disease 2019 pandemic on the incidence of other infectious diseases in the hematology hospital in Korea

Original Article

Infectious diseases

The Korean Journal of Internal Medicine 2024;39(3):513-523.

Published online: April 23, 2024

DOI: https://doi.org/10.3904/kjim.2023.508

Impact of the coronavirus disease 2019 pandemic on the incidence of other infectious diseases in the hematology hospital in Korea

Seohee Oh¹, Yu-Sun Sung¹, Mihee Jang¹, Yong-Jin Kim¹, Hyun-Wook Park¹, Dukhee Nho^2,^3,⁴, Dong-Gun Lee^2,^3,⁴, Hyeon Woo Yim⁵, Sung-Yeon Cho^2,^3,⁴

¹Catholic Medical Center, College of Medicine, The Catholic University of Korea, Seoul, Korea

²Division of Infectious Diseases, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea

³Vaccine Bio Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Korea

⁴Catholic Hematology Hospital, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea

⁵Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea

Correspondence to: Sung-Yeon Cho, M.D., Ph.D., Division of Infectious Diseases, Department of Internal Medicine, Vaccine Bio Research Institute, Catholic Hematology Hospital & Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Korea, Tel: +82-2-2258-6065, Fax: +82-2-535-2494, E-mail: cho.sy@catholic.ac.kr

Received November 19, 2023 Revised January 10, 2024 Accepted February 5, 2024

(open-access):

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background/Aims

Since the coronavirus disease 2019 (COVID-19) outbreak, hospitals have implemented infection control measures to minimize the spread of the virus within facilities. This study aimed to investigate the impact of COVID-19 on the incidence of healthcare-associated infections (HCAIs) and common respiratory virus (cRV) infections in hematology units.

Methods

This retrospective study included all patients hospitalized in Catholic Hematology Hospital between 2019 and 2020. Patients infected with vancomycin-resistant Enterococci (VRE), carbapenemase-producing Enterobacterales (CPE), Clostridium difficile infection (CDI), and cRV were analyzed. The incidence rate ratio (IRR) methods and interrupted time series analyses were performed to compare the incidence rates before and after the pandemic.

Results

The incidence rates of CPE and VRE did not differ between the two periods. However, the incidence of CDI increased significantly (IRR: 1.41 [p = 0.002]) after the COVID-19 pandemic. The incidence of cRV infection decreased by 76% after the COVID-19 outbreak (IRR: 0.240 [p < 0.001]). The incidence of adenovirus, parainfluenza virus, and rhinovirus infection significantly decreased in the COVID-19 period (IRRs: 0.087 [p = 0.003], 0.031 [p < 0.001], and 0.149 [p < 0.001], respectively).

Conclusions

The implementation of COVID-19 infection control measures reduced the incidence of cRV infection. However, CDI increased significantly and incidence rates of CPE and VRE remained unchanged in hematological patients after the pandemic. Infection control measures suitable for each type of HCAI, such as stringent hand washing for CDI and enough isolation capacities, should be implemented and maintained in future pandemics, especially in immunocompromised patients.

Keywords: Coronavirus; COVID-19; Hematology; Hospital infections; Respiratory tract infections

Graphical abstract

INTRODUCTION

The outbreak of the severe acute respiratory syndrome coronavirus (SARS-CoV)-2 infection in December 2019 has become a turning point in healthcare systems worldwide [1]. The rapid spread of coronavirus disease 2019 (COVID-19) has caused a high burden on the healthcare system. To effectively manage the pandemic, governments have implemented social distancing and isolation measures to limit personal contact [2,3]. Each hospital also imposed additional infection control measures, such as mandatory wearing of face masks, restriction of visitors, and limiting the number of caregivers to a single person to prevent the possible inflow of the new virus and minimize further transmission within the facility [4].

Patients who were admitted to hematology wards required additional attention because hematological malignancies necessitate aggressive chemotherapy and/or hematopoietic cell transplantation (HCT) causing profound immunosuppression. Such conditions make patients prone to healthcare-associated infections (HCAIs), which prolong hospitalization, increase medical expenditures, and sometimes result in mortality [5]. Whether precautions against COVID-19 positively or negatively affect the incidence of HCAIs remains unknown. Although some data suggest that limited personal contact and enhanced hygiene practices have reduced the incidence of HCAIs, others suggest that the redistribution of finite medical resources for COVID-19 prevention has led to inadequate HCAI control [6–9].

With regard to common respiratory virus (cRV) infections other than COVID-19, wearing face masks and prevention of droplet transmission reduce the risk of upper and lower respiratory tract infections [10]. However, changes in the incidence of HCAIs or cRV infections may differ depending on the characteristics of the virus, host factors, and hospital environmental factors.

The incidence rate of other infectious diseases after COVID-19 among hematological patients remains controversial. This study aimed to assess the impact of the COVID-19 pandemic on the incidence of several major nosocomial pathogens, including carbapenemase-producing Enterobacterales (CPE), vancomycin-resistant Enterococci (VRE), Clostridium difficile, and cRVs, in hematological wards, to provide further insights for reinforcing infection control.

METHODS

Study design and hospital settings

A retrospective review of the electronic medical records (EMRs) and clinical data warehouse (CDW) of all patients hospitalized at the Catholic Hematology Hospital of Seoul St. Mary’s Hospital between January 2019 and December 2020 was conducted. Seoul St. Mary’s Hospital is a university-affiliated tertiary hospital with 1,365 beds. Catholic Hematology Hospital has 176 beds for hematological patients and performs over 500 HCT procedures annually. After the COVID-19 pandemic, strategies including screening questionnaires for patient classification, visitation restriction, temporary alternative medical services (screening clinics, separated respiratory clinics, telemedicine, etc.), pre-admission screening for COVID-19, and the operation of buffer rooms were implemented as part of the prevention strategy (Table 1). To assess for post-COVID-19 changes, 2019 was set as the control period, while 2020 was set as the COVID-19 period. To ensure the homogeneity of the study setting and avoid possible confounding factors, infectious diseases that occurred during hospitalization in wards outside the hematology unit were excluded from the analysis, even in patients with hematological diseases.

During the study period, rectal surveillance was performed for the detection of CPE in high-risk patients, patients with a history of CPE colonization or infection within 3 months, patients with recent hospitalization (≥ 1 wk) in other healthcare facilities within 4 weeks, exposed patients without contact precaution to confirmed CPE carriers, or patients who required admission to the intensive care unit. Rectal VRE surveillance was not performed during the study period. In cases where CPE was identified, the patient was isolated in a single-room with contact precautions until three consecutive negative results were obtained at one-week intervals. Additionally, rectal swabs were conducted on other patients sharing the same room. For patients confirmed to have VRE in clinical specimens, contact precautions were implemented. Infection control measures for both CPE and VRE remained unchanged throughout the study period.

A stool examination for the detection of C. difficile and multiplex real-time polymerase chain reaction (PCR) for the detection of cRV were performed in patients according to their symptoms, as standard patient care. Single-room isolation with contact precautions was implemented for patients with CDI. When a hospitalized patient presented new respiratory symptoms, a nasopharyngeal swab for cRV PCR was performed. In cases where lower respiratory tract symptoms or lung shadow were confirmed, bronchoscopy and cRV PCR of bronchial washing fluid were conducted. Droplet precautions were applied until the results became available, and monitoring of contacted patients was maintained.

Definitions

Patients who tested positive for CPE or VRE on culture tests were diagnosed according to the microbiological results of the submitted specimen, regardless of the colonization and/or infection status. The clinical isolates were subjected to routine species identification and susceptibility testing using automated systems. To identify the presence of rectal CPE, a carbapenem-resistant Enterobacterales (CRE) test was performed, which included selective CRE culture and carbapenemase gene testing for blaIMP1, blaVIM, blaNDM, blaKPC, and blaOXA48 using the Xpert Carba-R assay (Cepheid, Sunnyvale, CA, USA). Rectal swabs were collected using an eSwab 480CE collection system (Copan Diagnostics Inc., Brescia, Italy) [11]. VRE was defined as Enterococci isolated from clinical specimens that are resistant to vancomycin or express the vanA or vanB genes [12]. C. difficile infection (CDI) was defined according to the standard epidemiological classification [13]. Stool samples that did not meet the conditions for C. difficile testing were rejected by the microbiological laboratory of our hospital. cRV pathogens were counted based on the multiplex real-time PCR results. To ensure that only HCAI patients admitted to the hospital were selected, those who obtained positive test results within 48 hours of hospitalization were excluded from the analysis.

Data collection

The following data were collected from the EMR and CDW: data on the number of positive results on CPE, VRE, C. difficile, and multiplex RV-PCR panel tests (influenza virus A/B; respiratory syncytial virus [RSV] A/B; parainfluenza virus 1, 2, and 3; adenovirus; metapneumovirus; rhinovirus A, B, and C; coronavirus [229E, HKU1, NL63, and OC43]; and bocavirus) and influenza A/B rapid antigen tests. The microbiological results were collected as part of the routine care for hematology patients. If CPE or VRE was repeatedly detected in the same patient, the occurrence of the same infection within 30 days was considered as the same episode. This study was conducted in accordance with the guidelines of the Institutional Review Board and Ethics Committee of Seoul St. Mary’s Hospital (KC21RISI0282 and KC21WISI0258). Written informed consent was waived by the Institutional Review Board.

Statistical analysis

Chi-square analysis or Fisher’s exact test was used to compare categorical variables, while Student’s t-test or Mann–Whitney U-test was used to compare continuous variables. The HCAI incidence rates were compared using the incidence rate ratio (IRR) method. The incidence density was calculated as the number of positive cases per 1,000 patient-days. To compare the rates per patient per day, the 95% confidence intervals (CIs) were estimated. Interrupted time series analysis was used to evaluate the outcomes with time trends. The autoregressive integrated moving average model was used to investigate the effect of COVID intervention on the incidence of HCAI. A p value of less than 0.05 was considered significant. Data were analyzed by using SAS version 9.4 (SAS Institute, Cary, NC, USA) and R studio version 4.3.1.

RESULTS

Hospitalized patients

The median number of patients admitted to this hematology hospital was 310.5 (range, 257–343) per month during the study period; a median of 324 patients was hospitalized per month in 2019 and a median of 297 patients per month in 2020 (p = 0.002). The median length of hospital stay was 18.8 days (range, 15.1–22.2): 17.1 days in 2019 and 19.2 days in 2020 (p < 0.001). The median patient-days were 21.44 per month in 2019 and 22.13 per month in 2020, which showed no significant differences (p = 0.198)

CPE, VRE, and CDI

During the 2-year study period, 31 microbiologically confirmed CPE cases were identified in 24 patients with hematological diseases. Excluding the number of repeated detections in the same patient according to our definition, the incidence rates of CPE were 0.134/1,000 patient-days (n = 11) and 0.166/1,000 patient-days (n = 13) in the pre- and post-COVID-19 periods. The IRR (95% CI) was 1.24 (0.557–2.777) (p = 0.593) for CPE. The incidence rates of VRE including newly diagnosed events were 1.576/1,000 patient-days (n = 126) and 1.493/1,000 patient-days (n = 117) during the pre- and post-COVID-19 periods, respectively, of which the IRR (95% CI) was 0.95 (0.736–1.218) (p = 0.905). CDI developed in 149 and 197 patients during the pre- and post-COVID-19 periods, respectively, and the incidence rate increased from 1.866/1,000 patient-days in 2019 to 2.630/1,000 patient-days in 2020. The IRR (95% CI) was 1.41 (1.140–1.744) (p = 0.001) for CDI (Table 2).

An interrupted time series analysis was performed, and the results showed no statistical significance in the slope and change in the intercept for CPE and VRE. However, for the CDI, the change in the intercept showed a significant increase in the post-COVID-19 period (change in intercept coefficient: 1.264; p = 0.044) (Table 3, Fig. 1). However, the slope of CDI incidence showed similar trends in 2019 and 2020.

cRV

A total of 205 adult patients with HCAI from six hematology units tested positive for cRV on PCR. Among all cRV cases, parainfluenza virus was the most prevalent virus, followed by RSV and rhinovirus. Notably, as shown in Figure 2, traditional seasonal variations were changed in post-COVID-19 period as well as the incidence of cRV infections. The cumulative incidence density rates of PCR-proven cRV during the control and COVID-19 periods were 2.167 cases per 1,000 patient-days (n = 165) and 0.519 cases per 1,000 patient-days (n = 40), respectively. The detection rate of cRV declined by 76% (IRR: 0.240, 95% CI: 0.170–0.339, p < 0.001) in the COVID-19 period compared with that in the control period (Table 4).

Although the total cRV detection rate decreased, the incidence of each type of virus differed; the incidence of adenovirus, parainfluenza virus, and rhinovirus infection showed a significant decrease in the COVID-19 period compared with that in the control period (IRRs: 0.087 (p = 0.003), 0.031 (p < 0.001), and 0.149 (p < 0.001), respectively). However, no significant differences were observed in the IRRs for bocavirus, coronavirus, enterovirus, influenza virus A, influenza virus B, metapneumovirus, or RSV (Table 4). Figure 3 shows the detailed incidence of nosocomial cRV infections per month. Figure 3 and Table 5 show the results of the interrupted time series analysis for all and each type of cRV, respectively.

DISCUSSION

In this study, the trends in the incidence rates of CPE, VRE, CDI, and cRV infections in the pre- and post-COVID-19 periods were investigated. An increased incidence of CDI was observed after the COVID-19 pandemic, while no significant changes were observed in the incidence rates of CPE and VRE infection in hematological patients. Additionally, a decreased incidence of cRV infection was confirmed, the statistical significance of which varied according to the type of viruses.

In the case of HCAI caused by CPE and VRE, although enhanced hand hygiene practices and restrictions on the number of visitors or guardians were strictly implemented in hematology hospitals, our additional measures did not lead to a significant change. As CRE infection is regarded as a notifiable infectious disease in South Korea, the incidence of CRE, regardless of the carbapenemase production, has increased from 15,369 cases in 2019 to 18,113 cases in 2020, according to the national data from the Korea Disease Control and Prevention Agency [14]. Data from other countries also reported significant increases in HCAI during the early phase of an emergency due to the limitations of traditional HCAI prevention and control efforts [15–18]. We also experienced shortages in the workforce of healthcare personnel and rooms for isolation. However, our results showed no significant differences, without an increase in either the intercept change or slope for CPE and VRE (Fig. 1).

Although antibiotics do not have antiviral effects, their use has increased after the COVID-19 pandemic [19–21]. A systematic review of the COVID-19 pandemic and antibiotic consumption suggested that the interruption of antibiotic stewardship programs during the pandemic also resulted in an increase in antibiotic use among hospitalized patients [22]. However, the overall consumption of antibiotics (either intravenously or orally) did not increase in Seoul St. Mary’s Hospital; the defined daily dose of intravenous antibiotics used decreased from 618.9/1,000 hospital-days in 2019 to 609.5/1,000 hospital-days in 2020, while that of oral antibiotics used decreased from 395.7/1,000 persons to 357.5/1,000 in 2020. This could be one of the possible explanations for the insignificant changes in the incidence rates of CPE and VRE infection in our institution, despite the nationwide increasing incidence of CRE infection.

The increasing incidence of CDI was proven by both IRR comparison and interrupted time series analysis in this study. However, the impact of COVID-19 on the incidence of CDI remains controversial. A report from the National Healthcare Safety Network did not demonstrate a significant increase in CDI in the United States [23]. However, our results are in line with those of a long-term study in Italy, which showed an increasing trend in CDI incidence [24]. These results can be attributed to the fact that the use of alcohol-based hand rubs does not prevent CDI transmission, which requires strict adherence to the practice of hand washing with soap and water. Additionally, a single-room isolation of patients with CDI was not a priority during the COVID-19 pandemic in most hospitals in Korea. Although the overall antibiotics consumption of the hospital has not increased between 2019 and 2020, it is necessary to calculate the defined daily dose (DDD) of hematology hospital to elucidate the relationship between the occurrence of CDI and antibiotics usage. The DDD of the hematology hospital could not be calculated separately during the study period, but the consumption of major antibiotics including cefepime, imipenem, or teicoplanin was not increased (data not shown). The multifactorial nature of CDI development, such as the interactions between bacterial and viral infections, acid-suppressive medications, gut microbiota in patients susceptible to mucosal barrier injury, antimicrobial stewardship, environmental cleaning, and isolation capacity, should be considered in future studies [25].

Our results revealed a significant decrease in cRV infections, which is consistent with previous studies conducted in hematology patients in the United Kingdom [10]. This also reflects the reduced detection rates of respiratory viruses in the general population [26–28]. These results may confirm the unintended benefits of COVID-19 prevention measures, as the majority of respiratory pathogens are transmitted through droplets. The enhanced hygiene practices and the mandatory use of face mask are believed to be responsible [29]. As shown in Figure 2, the incidence of cRV infection has remained relatively steady during the immediate post-COVID-19 period (January–February 2020). This is thought to be partly attributed to the lingering impact of the epidemiology from the pre-COVID-19 period. The incidence of infection of each type of respiratory virus in the hematology units generally mirrors the seasonal trends and variability of community infections in Korea [30]. In this context, it is difficult to conclude that the decrease in cRV infection rates observed in this study is solely attributable to changes in in-hospital infection control measure before and after COVID-19. The discrepancy between IRR and interrupted time series analysis results for cRV infection in this study might stem from the combined effect of monthly variations or characteristics of the virus itself such as droplet size, transmission, etc. Further studies, conducted over an extended period after COVID-19, are necessary to assess the anticipated seasonal changes and determine whether the reduced incidence of cRV infections persists.

This study has several limitations. The study was conducted in a single institution within a short term. Therefore, long-term studies involving multiple institutions are required to draw clear conclusions. In addition, it was not possible to confirm whether the infection control policies were implemented properly because this was not a study conducted in a controlled situation owing to the nature of retrospective research using medical records. The changes in other medical risk factors, such as patient demographics and severity, should be considered as well.

In conclusion, the implementation of COVID-19 infection control measures led to a notable reduction in the number of cRV infections. However, the incidence of CDI significantly increased as the intercept coefficient changed in hematological patients after the COVID-19 pandemic. The incidence rates of CPE and VRE remained unchanged. Infection control measures suitable for each HCAI, not only contact and droplet precautions, but also single-room isolation capacities or monitoring of antibiotic consumption, are warranted to maintain sustainable measures to prevent HCAI in future pandemics.

KEY MESSAGE

1. The number of cRV infections decreased after COVID-19 pandemic due to infection control measures.

2. C. difficle infection increased significantly, while CPE and VRE infections remained steady.

3. To ensure the effectiveness of infection control strategies against various HCAIs, not only contact and droplet precautions but also single-room isolation and monitoring of antibiotic usage are essential.

Acknowledgments

Statistical consultation was supported by the Department of Biostatistics of the Catholic Research Coordinating Center.

Notes

CRedit authorship contributions

Seohee Oh: conceptualization, resources, investigation, formal analysis, writing - original draft, writing - review & editing; Yu-Sun Sung: conceptualization, resources, investigation, data curation, formal analysis, writing - original draft; Mihee Jang: conceptualization, resources, investigation, data curation, formal analysis, writing - original draft; Yong-Jin Kim: conceptualization, resources, investigation, data curation, formal analysis; Hyun-Wook Park: conceptualization, resources, investigation, data curation, formal analysis; Dukhee Nho: writing - review & editing; Dong-Gun Lee: writing - review & editing; Hyeon Woo Yim: writing - review & editing; Sung-Yeon Cho: conceptualization, resources, investigation, formal analysis, writing - original draft, writing - review & editing

Conflicts of interest

The authors disclose no conflicts.

Funding

None

Figure 1

Trends in incidence rate (/1,000 hospital-day) of CPE (A), VRE (B), and Clostridium difficile infection (C) before after the COVID-19. CPE, carbapenemase-producing Enterobacterales; VRE, vancomycin-resistant Enterococci.

Figure 2

Monthly incidence rate (/1,000 hospital-day) of each cRV during 2019–2020. cRV, common respiratory virus.

Figure 3

Trends in incidence rate (/1,000 hospital-day) of total cRV (A), adenovirus (B), bocavirus (C), coronavirus (D), influenza A (E), influenza B (F), metapneumovirus (G), parainfluenza 1/2/3 (H), RSV A/B (I), rhinovirus A/B/C (J) before and after the COVID-19. cRV, common respiratory virus; RSV, respiratory syncytial virus.

Table 1

Major changes in infection control policies in Seoul St. Mary’s Hospital after the COVID-19 pandemic

January, 2020	Mandatory mask-wearing, complete visitation restrictions, closure of the north/east entrances, inquiry into the travel history of inpatients/guardians, and commencement of operation for reassurance clinics^a)
February, 2020	Strengthening the admission process (pre-admission COVID-19 PCR for patients and bedside caregiver), Re-defining the target population for screening clinics and reassurance clinics, restriction on the number of guardians
March, 2020	Buffer rooms operation
May, 2020	Restriction of inpatient movement (restriction on leaving outside the ward, excluding essential tests
September, 2020	Notification of reimbursement for pre-admission COVID-19 PCR testing

PCR, polymerase chain reaction.

^a) The reassurance clinic was operated separately from the screening clinic, providing a dedicated independent space for patients with respiratory symptoms.

Table 2

Comparison of incidence of major healthcare associated pathogens during the pre- and post-COVID-19 period in hematologic unit

	Control period (2019)		COVID-19 period (2020)		Incidence rate ratio (95% CI)	p value

	No.	Incidence rate (per 1,000 patient-days)	No.	Incidence rate (per 1,000 patient-days)
CPE	11	0.134	13	0.166	1.24 (0.557–2.777)	0.593

VRE	126	1.576	117	1.493	0.95 (0.736–1.218)	0.905

C. difficile	149	1.866	197	2.630	1.41 (1.140–1.744)	0.001

CI, confidence interval; CPE, carbapenemase-producing Enterobacterales; VRE, vancomycin-resistant Enterococci.

Table 3

Interrupted time series regression analysis of monthly cases by pathogen

	Change in intercept			Change in slope

	Coefficient	Standard error	p value	Coefficient	Standard error	p value
CPE	−0.048	0.130	0.716	−0.013	0.019	0.512

VRE	−0.129	0.535	0.812	−0.005	0.077	0.953

C. difficile	1.264	0.586	0.044	−0.039	0.085	0.646

CPE, carbapenemase-producing Enterobacterales; VRE, vancomycin-resistant Enterococci.

Table 4

Incidence rate and incidence rate ratio of PCR-proven common respiratory virus in pre- and post-COVID-19 period

cRV	Control period (2019)		COVID-19 period (2020)		Incidence rate ratio (95% CI)	p value

	No.	Incidence rate (per 1,000 patient-days)	No.	Incidence rate (per 1,000 patient-days)
Adenovirus	12	0.146	1	0.013	0.087 (0.011–0.670)	0.003

Boca virus	7	0.085	5	0.064	0.750 (0.238–2.362)	0.622

Corona virus	15	0.183	9	0.115	0.628 (0.275–1.436)	0.266

Influeza virus A	11	0.097	7	0.089	0.669 (0.259–1.726)	0.402

Influeza virus B	8	0.097	2	0.026	0.253 (0.056–1.237)	0.069

Metapneumo virus	6	0.073	3	0.038	0.524 (0.131–2.094)	0.352

Parainfluenza virus 1/2/3	66	0.819	2	0.026	0.031 (0.008–0.127)	< 0.001

Respiratory syncytial virus A	22	0.269	11	0.141	0.523 (0.253–1.078)	0.074

Rhinovirus A/B/C	21	0.258	3	0.038	0.149 (0.044–0.498)	< 0.001

Total cRV	165	2.167	40	0.519	0.240 (0.170–0.339)	< 0.001

PCR, polymerase chain reaction; CI, confidence interval; cRV, common respiratory virus.

Table 5

Interrupted time series regression analysis of monthly common respiratory virus infections

cRV	Change in intercept			Change in slope

	Coefficient	Standard error	p value	Coefficient	Standard error	p value
Adenovirus	−0.163	0.089	0.082	0.002	0.013	0.863

Boca virus	−0.762	0.631	0.775	−0.129	0.379	0.738

Corona virus	0.488	0.243	0.059	0.007	0.035	0.847

Influeza virus A	0.286	0.198	0.165	−0.027	0.029	0.351

Influeza virus B	0.066	0.069	0.354	0.009	0.010	0.367

Metapneumo virus	0.003	0.067	0.964	−0.01	0.010	0.324

Parainfluenza virus 1/2/3	−1.367	0.658	0.051	−0.120	0.095	0.221

Respiratory syncytial virus A/B	0.564	0.220	0.019	0.020	0.032	0.532

Rhinovirus A/B/C	−0.155	0.110	0.176	−0.018	0.016	0.283

Total cRV	−0.283	0.837	0.739	−0.148	0.121	0.235

cRV, common respiratory virus.

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