Literature DB >> 33536089

Air contamination of households versus hospital inpatient rooms occupied by severe acute respiratory coronavirus virus 2 (SARS-CoV-2)-positive patients.

L Silvia Munoz-Price1, Frida Rivera1, Nathan Ledeboer2.   

Abstract

The household setting has some of the highest coronavirus disease 2019 (COVID-19) secondary-attack rates. We compared the air contamination in hospital rooms versus households of COVID-19 patients. Inpatient air samples were only positive at 0.3 m from patients. Household air samples were positive even without a COVID-19 patient in the proximity to the air sampler.

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Mesh:

Year:  2021        PMID: 33536089      PMCID: PMC8047394          DOI: 10.1017/ice.2021.45

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


Severe acute respiratory coronavirus virus 2 (SARS-CoV-2) is transmitted primarily by respiratory droplets and contact with contaminated surfaces and fomites.[1] Airborne transmission is still a controversial topic among the scientific community. A few studies have successfully identified SARS-CoV-2 in the air of hospital rooms using real-time reverse-transcriptase polymerase chain reaction (RT-PCR) or viral cultures.[2-5] However, air contamination in households has yet to be characterized. The household setting has high secondary-attack rates, and members of the same household have been shown to experience up to 10 times greater risk of coronavirus disease 2019 (COVID-19) than other contacts (ie, healthcare workers, workplace contacts, and nonhousehold contacts).[6-8] Understanding the degree of air contamination in household settings would help us tailor prevention interventions in these high-risk settings. To address this knowledge gap, our study aimed to characterize and compare the presence of SARS-CoV-2 in air samples obtained in household settings against air samples obtained in inpatient rooms both selected based on the presence of SARS-CoV-2–positive patients.

Methods

This study was performed at Froedtert Memorial Lutheran Hospital, a 607-bed academic medical center affiliated with the Medical College of Wisconsin. This inpatient facility has 6 intensive care units (ICUs) with 150 ICU beds. During the pandemic, a few units were designated for cohorting SARS-CoV-2–positive patients, including the medical ICU, the cardiovascular ICU, and a couple of general medical-surgical units. All of these units were set for at least 6 air changes per hour and for negative pressure relative to the hallways. A convenience sample of rooms was selected based on the presence of patients with positive SARS-CoV-2 RT-PCR tests. Households were identified based on the presence of at least 1 household member with symptoms compatible with COVID-19 and at least one positive SARS-CoV-2 RT-PCR test. All study participants had a positive SARS-CoV-2 test in the 7 days preceding air sampling.

Air sampling and molecular testing

Air samples were collected using the Sartorius MD8 airscan sampling device (SartoriusAG, Göttingen, Germany) with sterile gelatin filters (80 mm in diameter and 3 μm pore size (SartoriusAG). Briefly, the air sampler was positioned 0.305–1.83 m from the patient’s head to collect 1,000–4,000 L (50 L/minute). We evaluated shorter distances and higher volumes until we were able to detect SARS-CoV-2 in air samples. For samples that obtained 4,000 L, 2 air samplers were used concomitantly for 40 minutes (50 L/minute; 2,000 L each). Gelatin filters were placed in 6 mL viral transport media (VTM) (Remel M4RT, ThermoFisher, Lenexa, KS). If 2 air samplers were used concomitantly to achieve 4,000 L, then both gelatin membranes were placed in a single container with 6 mL VTM. These plates were incubated at 37oC for 1 minute to allow the gelatin filter to dissolve. This mixture was then spun in a vortex machine and centrifuged at 13,000×g for 1 minute, and 1 mL supernatant was used for nucleic acid extraction. Nucleic acid extraction and RT-PCR were performed on the Cobas 6800 (Roche, Indianapolis, IN) according to the manufacturer’s emergency use authorization (EUA)–approved product insert. For patient specimens, combined nasopharyngeal and oropharyngeal swabs were collected from each patient, and both the nasopharyngeal and oropharyngeal swabs were placed into 3 mL VTM (Copan, Murrieta, CA). RT-PCR was performed to detect the presence of SARS-CoV-2 on each sample using the Cobas 6800 according to the manufacturer’s EUA-approved product insert.

Results

We included 25 air samples from 15 inpatient rooms (16 samples) and 5 households (9 samples) where SARS-CoV-2–positive patients were housed (Table 1). Of 16 air samples from inpatient rooms, 2 (12.5%; 2 inpatient rooms) were SARS-CoV-2 positive, and of 9 household samples, 5 (55.5%; 3 households) had SARS-CoV-2 detected (odds ratio, 8.75; 95% confidence interval, 1.21–63.43; P = .058). All samples had cycle threshold levels >30.
Table 1.

Presence of SARS-CoV-2 in Households and Inpatient Hospital Rooms Occupied by SARS-CoV-2 Positive Patients

Patient/ HouseholdUnit/RoomWindows Opened Prior to TestingAir Conditioning or Fans OnCOVID-19 Symptomson Day of TestingDate of Symptoms OnsetDate of AdmissionOxygen RequirementLastSARS-CoV-2 Positive TestDate of SamplingSampling Time, minAir Volume Sampled, LDistance from Patient, mSize of Room, m[3]RT-PCR Result of Air SampleCT values for air samples
1COVID unit (general medicine)NANANo COVID-19 symptomsNA8/16/20No8/16/208/19/20201,0001.83260.1NegativeNA
2COVID unit (general medicine)NANAPneumonia8/13/208/16/20High flow nasal cannula8/16/208/19/20201,0001.83260.1NegativeNA
3COVID unit (general medicine)NANANo COVID-19 symptomsNA8/14/20No8/15/208/19/20201,0001.83260.1NegativeNA
4COVID unit (ICU)NANAHypoxic respiratory failure8/18/208/19/20BiPAP8/19/208/26/20201,0000.9189.2NegativeNA
5COVID unit (ICU)NANAHypoxic respiratory failure8/10/208/16/20High flow nasal cannula8/14/208/26/20201,0000.9189.2NegativeNA
6Non-COVID unit (ICU)NANASeptic shock unclear etiologyUnknown8/21/20Intubated8/21/208/26/20201,0000.91157NegativeNA
7COVID unit (general medicine)NANAHypoxic respiratory failureUnknown9/2/20Nasal cannula9/2/209/4/20201,0000.91260.1NegativeNA
7COVID unit (general medicine)NANAHypoxic respiratory failureUnknown9/2/20Nasal Cannula9/2/209/4/20402,0000.91260.1NegativeNA
8COVID unit (general medicine)NANAHypoxic respiratory failure9/4/208/25/20No9/8/209/9/20402,0000.91260.1NegativeNA
9COVID unit (general medicine)NANAHypoxic respiratory failure9/7/209/8/20High flow nasal cannula9/8/209/9/20402,0000.91260.1NegativeNA
10COVID unit (general medicine)NANAPneumonia9/5/209/1/20Nasal Cannula9/8/209/9/20402,0000.91260.1NegativeNA
11COVID unit (ICU)NANAPneumonia9/7/209/6/20Intubated9/8/209/9/20402,0000.9189.2NegativeNA
12COVID unit (ICU)NANACough, fatigue, fever, diarrhea9/12/209/21/20Nasal Cannula9/22/209/22/20404,0000.9189.2NegativeNA
13COVID unit (ICU)NANAPneumoniaUnknown9/21/20Nasal Cannula9/21/209/22/20404,0000.9189.2NegativeNA
14COVID unit (general medicine)NANAChest pain, cough, shortness of breath9/30/2010/4/20No10/4/2010/5/20 40 4,000 0.30 260.1 Positive 33.04
15COVID unit (general medicine)NANAFever, shortness of breath, cough10/2/2010/4/20No10/4/2010/5/20 40 4,000 0.30 260.1 Positive 36.27
16Household bedroomYesNoRespiratory symptoms, fatigueNANANo10/5/2010/7/20 40 2,000 0.91 156.1 Positive 36.1
16Household bedroomYesNoRespiratory symptoms, fatigueNANANo10/5/2010/7/20 40 2,000 1.83 156.1 Positive 37.43
17Household bedroomNoNoRespiratory symptoms, fatigueNANANo10/5/2010/8/20201,0000.91136.6NegativeNA
17Household tv roomYesNoRespiratory symptoms, fatigueNANANo10/5/2010/8/20201,0000.9153.5NegativeNA
18Household kitchenNoNoRespiratory, loss of taste/smellNANANo10/1/2010/8/20 20 1,000 0.91 53.5 Positive 37.65
18Household living roomNoNoRespiratory, loss of taste/smellNANANo10/1/2010/8/20 20 1,000 NA[a]66.9 Positive 37.52
19Household bedroomYesNoRespiratory symptomsNANANo10/6/2010/9/20201,000NA[a]47.6NegativeNA
19Household tv roomYesNoRespiratory symptomsNANANo10/6/2010/9/20201,0000.9174.3NegativeNA
20Household bedroomNoYesRespiratory symptoms, fatigueNANANo8/3/208/6/20 20 1,000 1.83 89.2 Positive 37

Note. ICU, intensive care unit; NA, not applicable; RT-PCR, reverse-transcriptase polymerase chain reaction; CT, cycle threshold; BiPAP, bilevel positive airway pressure.

No positive patient was present in the room.

Presence of SARS-CoV-2 in Households and Inpatient Hospital Rooms Occupied by SARS-CoV-2 Positive Patients Note. ICU, intensive care unit; NA, not applicable; RT-PCR, reverse-transcriptase polymerase chain reaction; CT, cycle threshold; BiPAP, bilevel positive airway pressure. No positive patient was present in the room.

Hospital air samples

Of 15 patient rooms sampled, 14 were located in COVID-19 units (5 in ICUs and 9 in general medicine wards) and 1 was located on a non–COVID-19 unit. All rooms were set to have at least 6 air changes per hour, with negative pressure relative to the hallway, and their median size was 260.1 m[2] (range, 89.2–260.1). Of 15 air samples, 7 sampled 1,000 L (range, 1.83–0.91 m from the patient), and all of these samples were SARS-CoV-2 negative. Moreover, 5 samples tested 2,000 L at 0.91 m from the patient (all SARS-CoV-2 negative), 2 samples tested 4,000 L at 0.91 m (all SARS-CoV-2 negative), and 2 patients were sampled using 4,000 L each at 0.30 m from the patient (both SARS-CoV-2 positive) (Table 1 and Supplementary Fig. 1 online).[9] Regarding the characteristics of the 15 inpatients housed within the rooms sampled: 5 (33%) had hypoxic respiratory failure, 4 (26.6%) had COVID-19 pneumonia, 3 (20%) had fever with respiratory symptoms, 2 (13.3%) were asymptomatic, and 1 (6.6%) had septic shock of unclear etiology (Table 1). Two-thirds of patients required oxygen support at the time of sampling: 2 (13.3%) were mechanically intubated, 2 (13.3%) were on bilevel positive airway pressure, 3 (20%) were on high-flow nasal cannulae, and 4 (26.6%) were on nasal cannulae. The median number of days from symptom onset to air sampling was 5 (range, 2.75–8.5). The median number of days from the last positive SARS-CoV-2 test to the day of air sampling was 1.5 (range, 1–3.75). The 2 patients occupying the rooms with positive air samples had mild severity of illness and were not on supplemental oxygen. Days from symptom onset to sampling were 5 (patient 14) and 3 (patient 15).

Household air samples

All 5 households had at least 1 symptomatic SARS-CoV-2–positive member at the time of sampling, and nonoe of these patients was on supplemental oxygen. All positive household members had respiratory symptoms at the time of air sampling. The median number of days from the last positive SARS-CoV-2 test to the day of air sampling was 3 (range, 2.5–5). Furthermore, 5 samples (55.5%) from 3 households were positive for SARS-CoV-2 (Supplementary Fig. 2 online). Only 1 household had air conditioning running (no. 20), and 3 households had opened windows or doors immediately prior to air sampling (nos. 16, 17, and 19). Anecdotally, most households felt warm and humid at the time of testing.

Discussion

In this study, household samples were 8 times more likely to test positive for SARS-CoV-2 than inpatient samples. Inpatient rooms only tested positive when the volume of air sampled was quadrupled and the distance between air samplers and patients was minimal. Thus, these positive results may represent contaminated respiratory droplets being expelled by patients rather than actual air contamination. Given that room ventilation (ie, air changes per hour) was the main difference between these settings, our findings may suggest that the degree of ventilation in a room is more important in determining the degree of air contamination than the acuity of illness that a SARS-CoV-2 patient may be experiencing. Previous studies have characterized the air contamination in inpatient areas with a wide range of findings between 1.3% and 63.2%[2-5]; however, the viability of the virus in air samples is still controversial. To the best of our knowledge, this is the first report of air contamination by SARS-CoV-2 within household settings. Our study has several limitations. The sample size was small; we used convenience samples and did not perform viral cultures. Furthermore, we did not measure the temperature or humidity of the rooms, which are environmental variables that may potentially affect the viability of the virus. In addition, we obtained more air samples per household than per inpatient room; therefore, we increased the likelihood of detecting positive samples in households. Despite these limitations, our preliminary findings suggest that household settings may have high degree of air contamination, signaling a major impact of room ventilation on this outcome. Future studies should characterize the variables determining the degree of air contamination in households and explore innovative ways to ameliorate this problem, especially in crowded households without access to natural Please provide missing Acknowledgments text?ventilation.
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Journal:  Clin Infect Dis       Date:  2022-05-30       Impact factor: 20.999

5.  Assessing impact of ventilation on airborne transmission of SARS-CoV-2: a cross-sectional analysis of naturally ventilated healthcare settings in Bangladesh.

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