| Literature DB >> 32652529 |
J Schutzer-Weissmann1, D J Magee2,3, P Farquhar-Smith1.
Abstract
The protection of healthcare workers from the risk of nosocomial severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is a paramount concern. SARS-CoV-2 is likely to remain endemic and measures to protect healthcare workers against nosocomial infection will need to be maintained. This review aims to inform the assessment and management of the risk of SARS-CoV-2 transmission to healthcare workers involved in elective peri-operative care. In the absence of data specifically related to the risk of SARS-CoV-2 transmission in the peri-operative setting, we explore the evidence-base that exists regarding modes of viral transmission, historical evidence for the risk associated with aerosol-generating procedures and contemporaneous data from the COVID-19 pandemic. We identify a significant lack of data regarding the risk of transmission in the management of elective surgical patients, highlighting the urgent need for further research.Entities:
Keywords: COVID-19; SARS-CoV-2; airborne; elective; infection prevention and control; peri-operative
Mesh:
Year: 2020 PMID: 32652529 PMCID: PMC7404908 DOI: 10.1111/anae.15221
Source DB: PubMed Journal: Anaesthesia ISSN: 0003-2409 Impact factor: 12.893
Potential consequences of precautions to reduce coronavirus 2019 (COVID‐19) risk
| Theatre efficiency | Human factors | Other consequences |
|---|---|---|
| Increased surgical and anaesthetic preparation time | Modification in usual process risks potential increase in human error | Perceived benefit of tracheal tube instead of SAD may increase risk of aerosol generation (e.g. coughing on extubation) |
| Delay in starting case because of post‐intubation aerosol clearance time | Masks and visors may hinder performance and communication | PPE removal (‘doffing’) carries a risk of self‐contamination |
| Delay to preparing for next case from aerosol clearance time | Increased anxiety from COVID‐19 ‘infodemic’ | Emphasis on airborne element of infection control precautions may distract attention from the risk of contact/droplet transmission |
| PPE donning and doffing time | Potential reduction in breaks to reduce PPE use |
SAD, supraglottic airway device; PPE, personal protective equipment.
Summary of the raw data incorporated by Tran et al. [9] of evidence relating aerosol‐generating procedures to SARS‐CoV‐1 infection among healthcare workers
| Study design | Study | Population | Tracheal intubation exposure definition | Healthcare workers involved in tracheal intubation | Healthcare workers not involved in tracheal intubation | OR for case‐control or RR for cohort studies (95%CI) | Total number of source patients | Other significant proximity/contact measure [OR]/(RR) | ||
|---|---|---|---|---|---|---|---|---|---|---|
| Infected | Not infected | Infected | Not infected | |||||||
|
Cases Identified as infected healthcare workers Controls Demographically matched healthcare workers working during the study period | Chen et al. [ |
2 hospitals in Guangzhou 239 doctors, 373 nurses, 55 health attendants, 38 lab technicians, 53 othersi | " | 16 | 17 | 75 | 640 | 8.0 | NA | “ |
| Pei et al. [ |
3 hospitals in Beijing 103 doctors, 241 nurses, 12 nursing staff, 19 workers, 43 technicians, 19 administrators, 6 others | " | 28 | 9 | 119 | 287 | 7.5 | NA | “ | |
| Teleman et al. [ |
Single hospital in Singapore 65 doctors and nurses, 21 other healthcare workers | " | 2 | 4 | 34 | 46 | 0.7 (0.1–3.9) | 3 | “C | |
| Liu et al. [ |
Single hospital in Beijing 171 medical staff, 245 nursing staff, 61 other occupation | " | 6 | 6 | 45 | 420 | 9.3 | NA | “Contact: respiratory secretions” [3.3] | |
| Ma et al. [ | This study is based on the same dataset used by Liu et al. [ | |||||||||
|
Healthcare workers exposed to confirmed SARS‐CoV‐1‐infected patients | Raboud et al. [ |
20 hospitals in Ontario, 45 intubations 93 doctors, 283 nurses, 89 respiratory therapists, 67 radiology technologists, 38 housekeepers, 28 personal service assistants, 14 lab technicians, 3 paramedics, 2 pharmacists, 2 ward clerks, 2 porters, 2 physiotherapists, 4 others | " | 12 | 132 | 14 | 466 | 2.9 | 7 | “ |
| Fowler et al. [ |
Single hospital, Toronto 15 doctors, 66 nurses, 18 nursing aids, 18 respiratory physiotherapists, 3 physiotherapists, 2 others | “ | 6 | 8 | 2 | 60 | 13.3 | 7 |
During intubation: nurses present (21.4) Physicians present (3.8) | |
| Loeb et al. [ |
Single hospital in Toronto 32 nurses | Not clear, likely in the room | 3 | 1 | 5 | 23 | 4.2 | 3 | Time to event analysis: increased shifts increased risk | |
| Scales et al. [ |
Single hospital in Toronto 6 infections (2 doctors, 3 nurse, 1 respiratory therapist), other healthcare worker roles not itemised | “ | 3 | 2 | 3 | 11 | 2.8 (0.8–9.6) | 1 | Time with patient: <31 min vs. ≥31 min [12.9] | |
| Wong et al. [ |
| 15 | — | — | 1 | — | ||||
| Total number healthcare workers infected by identifiable patients | 99 | Total number identifiable source patients | 22 | |||||||
OR, odds ratio; RR, relative risk; NA, not available; ECG, electrocardiograph.
p < 0.05.