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Salachas C, Le Hingrat Q, Haviari S, Valdes A, Mackiewicz V, Lolom I, Fidouh N, Visseaux B, Bouzid D, Descamps D, Lucet JC, Charpentier C, Kernéis S. Associations between hospital structure, infection control and incidence of hospital-acquired viral respiratory infections: a 10-year surveillance study. Antimicrob Resist Infect Control 2025; 14:28. [PMID: 40217353 PMCID: PMC11992881 DOI: 10.1186/s13756-025-01543-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2024] [Accepted: 03/22/2025] [Indexed: 04/14/2025] Open
Abstract
BACKGROUND Protecting patients from hospital-acquired viral respiratory infections is a major challenge, but the hierarchy of measures to achieve this is not yet completely clear. AIM To describe the epidemiology of hospital-acquired viral respiratory infections and associations with structural hospital factors and adherence to infection control protocols. METHODS Retrospective cohort study conducted over 10 consecutive years (2014-2023) within 27 hospital wards in a 900-bed university hospital in Paris, France. All hospitalized adult patients who were tested for at least one virus on a respiratory sample during their stay were included. Structural factors (percentage of double occupancy rooms) and adherence to infection control protocols by healthcare workers (measured by consumption of alcohol-based hand sanitizer and of facemasks) were included as predictors in the model. MAIN OUTCOME AND MEASURE Incidence of hospital-acquired viral respiratory infections, defined by a positive PCR test for at least one respiratory virus, performed at least 5 days after hospital admission. Data were analyzed on ward-year aggregated data, with a linear mixed-effects model. FINDINGS Overall, 183 994 viral PCR tests were performed over the study period. Incidence of hospital-acquired viral respiratory infections was 0.57/1000 hospital-days. After adjustment on other factors (mean length of stay, use of PCR testing), incidence of hospital-acquired viral respiratory infections in a given ward was significantly associated with: the incidence of community-acquired viral respiratory infections among patients admitted to the ward (+ 0.10/1000 hospital-days per each additional point of incidence; P < 0.001), the number of double-occupancy rooms (+ 0.04/1000 hospital-days per each 10%-increase of double-occupancy rooms; P = 0.03) and masks consumption (+ 0.33/1000 hospital-days per 10 additional masks used per day; P = 0.04). Similar results were found for double-occupancy rooms (+ 0.01/1000 hospital-days per each 10%-increase of double-occupancy rooms; P = 0.012) in the sub-group analysis of influenza cases. CONCLUSION In a given hospital ward, the incidence of community-acquired cases and the proportion of double-occupancy rooms are independently associated with the incidence hospital-acquired viral respiratory infections.
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Affiliation(s)
- Costa Salachas
- Université Paris Cité, INSERM, IAME, F-75018, Paris, France
- Équipe de Prévention du Risque Infectieux (EPRI), AP-HP, Hôpital Bichat, 75018, Paris, France
| | - Quentin Le Hingrat
- Université Paris Cité, INSERM, IAME, F-75018, Paris, France
- Laboratoire de virologie, APHP, Hôpital Bichat, 75018, Paris, France
| | - Skerdi Haviari
- Université Paris Cité, INSERM, IAME, F-75018, Paris, France
- Département Épidémiologie Biostatistiques Et Recherche Clinique, AP-HP, Hôpital Bichat, 75018, Paris, France
| | - Audrey Valdes
- Infection Control Unit, Centre Hospitalier de Vichy, Vichy, France
| | | | - Isabelle Lolom
- Équipe de Prévention du Risque Infectieux (EPRI), AP-HP, Hôpital Bichat, 75018, Paris, France
| | - Nadhira Fidouh
- Laboratoire de virologie, APHP, Hôpital Bichat, 75018, Paris, France
| | - Benoît Visseaux
- Université Paris Cité, INSERM, IAME, F-75018, Paris, France
- Laboratoire de virologie, APHP, Hôpital Bichat, 75018, Paris, France
| | - Donia Bouzid
- Université Paris Cité, INSERM, IAME, F-75018, Paris, France
- Service d'Accueil des Urgences, AP-HP, Hôpital Bichat, 75018, Paris, France
| | - Diane Descamps
- Université Paris Cité, INSERM, IAME, F-75018, Paris, France
- Laboratoire de virologie, APHP, Hôpital Bichat, 75018, Paris, France
| | - Jean-Christophe Lucet
- Université Paris Cité, INSERM, IAME, F-75018, Paris, France
- Équipe de Prévention du Risque Infectieux (EPRI), AP-HP, Hôpital Bichat, 75018, Paris, France
| | - Charlotte Charpentier
- Université Paris Cité, INSERM, IAME, F-75018, Paris, France
- Laboratoire de virologie, APHP, Hôpital Bichat, 75018, Paris, France
| | - Solen Kernéis
- Université Paris Cité, INSERM, IAME, F-75018, Paris, France.
- Équipe de Prévention du Risque Infectieux (EPRI), AP-HP, Hôpital Bichat, 75018, Paris, France.
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Jo HJ, Choe PG, Kim JS, Lee M, Lee M, Bae J, Lee CM, Kang CK, Park WB, Kim NJ. Risk of nosocomial coronavirus disease 2019: comparison between single- and multiple-occupancy rooms. Antimicrob Resist Infect Control 2024; 13:95. [PMID: 39215349 PMCID: PMC11365205 DOI: 10.1186/s13756-024-01454-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Accepted: 08/22/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND There is an ongoing controversy regarding whether single-occupancy rooms are superior to multiple-occupancy rooms in terms of infection prevention. We investigated whether treatment in a multiple-occupancy room is associated with an increased incidence of nosocomial coronavirus disease 2019 (COVID-19) compared with treatment in a single-occupancy room. METHODS In this retrospective cohort study, every hospitalization period of adult patients aged ≥ 18 years at a tertiary hospital in Korea from January 1, 2022, to December 31, 2022, was analyzed. If COVID-19 was diagnosed more than 5 days after hospitalization, the case was classified as nosocomial. We estimated the association between the number of patients per room and the risk of nosocomial COVID-19 using a Cox proportional hazards regression model. RESULTS In total, 25,143 hospitalizations per room type were analyzed. The incidence rate of nosocomial COVID-19 increased according to the number of patients per room; it ranged from 3.05 to 38.64 cases per 10,000 patient-days between single- and 6-bed rooms, respectively. Additionally, the hazard ratios of nosocomial COVID-19 showed an increasing trend according to the number of patients per room, ranging from 0.14 (95% confidence interval 0.001-1.03) to 2.66 (95% confidence interval 1.60-4.85) between single- and 6-bed rooms, respectively. CONCLUSIONS We demonstrated that the incidence of nosocomial COVID-19 increased according to the number of patients per room. To reduce nosocomial infections by respiratory viruses, the use of multiple-occupancy rooms should be minimized.
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Affiliation(s)
- Hyeon Jae Jo
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro Jongno-gu, Seoul, 03080, Republic of Korea
| | - Pyoeng Gyun Choe
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro Jongno-gu, Seoul, 03080, Republic of Korea
- Infection Control Office, Seoul National University Hospital, Seoul, Republic of Korea
| | - Ji Seon Kim
- Infection Control Office, Seoul National University Hospital, Seoul, Republic of Korea
| | - Mimi Lee
- Infection Control Office, Seoul National University Hospital, Seoul, Republic of Korea
| | - Minkyeong Lee
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro Jongno-gu, Seoul, 03080, Republic of Korea
| | - Jiyeon Bae
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro Jongno-gu, Seoul, 03080, Republic of Korea
| | - Chan Mi Lee
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro Jongno-gu, Seoul, 03080, Republic of Korea
| | - Chang Kyung Kang
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro Jongno-gu, Seoul, 03080, Republic of Korea
| | - Wan Beom Park
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro Jongno-gu, Seoul, 03080, Republic of Korea
| | - Nam Joong Kim
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro Jongno-gu, Seoul, 03080, Republic of Korea.
- Infection Control Office, Seoul National University Hospital, Seoul, Republic of Korea.
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Martinot M, Mohseni-Zadeh M, Gravier S, Ion C, Eyriey M, Beigue S, Coutan C, Ongagna JC, Henric A, Schieber A, Jochault L, Kempf C. Nosocomial Coronavirus Disease 2019 during 2020-2021: Role of Architecture and Ventilation. Healthcare (Basel) 2023; 12:46. [PMID: 38200952 PMCID: PMC10779121 DOI: 10.3390/healthcare12010046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 12/16/2023] [Accepted: 12/22/2023] [Indexed: 01/12/2024] Open
Abstract
Nosocomial coronavirus disease 2019 (COVID-19) is a major airborne health threat for inpatients. Architecture and ventilation are key elements to prevent nosocomial COVID-19 (NC), but real-life data are challenging to collect. We aimed to retrospectively assess the impact of the type of ventilation and the ratio of single/double rooms on the risk of NC (acquisition of COVID-19 at least 48 h after admission). This study was conducted in a tertiary hospital composed of two main structures (one historical and one modern), which were the sites of acquisition of NC: historical (H) (natural ventilation, 53% single rooms) or modern (M) hospital (double-flow mechanical ventilation, 91% single rooms). During the study period (1 October 2020 to 31 May 2021), 1020 patients presented with COVID-19, with 150 (14.7%) of them being NC (median delay of acquisition, 12 days). As compared with non-nosocomial cases, the patients with NC were older (79 years vs. 72 years; p < 0.001) and exhibited higher mortality risk (32.7% vs. 14.1%; p < 0.001). Among the 150 NC cases, 99.3% were diagnosed in H, mainly in four medical departments. A total of 73 cases were diagnosed in single rooms versus 77 in double rooms, including 26 secondary cases. Measured air changes per hour were lower in H than in M. We hypothesized that in H, SARS-CoV-2 transmission was favored by short-range transmission within a high ratio of double rooms, but also during clusters, via far-afield transmission through virus-laden aerosols favored by low air changes per hour. A better knowledge of the mechanism of airborne risk in healthcare establishments should lead to the implementation of corrective measures when necessary. People's health is improved using not only personal but also collective protective equipment, i.e., ventilation and architecture, thereby reinforcing the need to change institutional and professional practices.
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Affiliation(s)
- Martin Martinot
- Infectious Diseases Department, Hôpitaux Civils de Colmar, 68000 Colmar, France; (M.M.-Z.); (S.G.); (C.I.); (S.B.)
| | - Mahsa Mohseni-Zadeh
- Infectious Diseases Department, Hôpitaux Civils de Colmar, 68000 Colmar, France; (M.M.-Z.); (S.G.); (C.I.); (S.B.)
| | - Simon Gravier
- Infectious Diseases Department, Hôpitaux Civils de Colmar, 68000 Colmar, France; (M.M.-Z.); (S.G.); (C.I.); (S.B.)
| | - Ciprian Ion
- Infectious Diseases Department, Hôpitaux Civils de Colmar, 68000 Colmar, France; (M.M.-Z.); (S.G.); (C.I.); (S.B.)
| | - Magali Eyriey
- Clinical Research Department, Hôpitaux Civils de Colmar, 68000 Colmar, France; (M.E.); (J.-C.O.); (A.H.); (A.S.); (C.K.)
| | - Severine Beigue
- Infectious Diseases Department, Hôpitaux Civils de Colmar, 68000 Colmar, France; (M.M.-Z.); (S.G.); (C.I.); (S.B.)
| | - Christophe Coutan
- Technical Department, Hôpitaux Civils de Colmar, 68000 Colmar, France;
| | - Jean-Claude Ongagna
- Clinical Research Department, Hôpitaux Civils de Colmar, 68000 Colmar, France; (M.E.); (J.-C.O.); (A.H.); (A.S.); (C.K.)
| | - Anais Henric
- Clinical Research Department, Hôpitaux Civils de Colmar, 68000 Colmar, France; (M.E.); (J.-C.O.); (A.H.); (A.S.); (C.K.)
| | - Anne Schieber
- Clinical Research Department, Hôpitaux Civils de Colmar, 68000 Colmar, France; (M.E.); (J.-C.O.); (A.H.); (A.S.); (C.K.)
| | - Loic Jochault
- Medical Information Service, Hôpitaux Civils de Colmar, 68000 Colmar, France;
| | - Christian Kempf
- Clinical Research Department, Hôpitaux Civils de Colmar, 68000 Colmar, France; (M.E.); (J.-C.O.); (A.H.); (A.S.); (C.K.)
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