key: cord-0741270-sycapyve
authors: Marchese, Valentina; Formenti, Beatrice; Cola, Gloria; Gregori, Natalia; Albini, Elisa; De Palma, Giuseppe; Possenti, Irene; Scala, Marco; Castelli, Francesco; Matteelli, Alberto
title: Importance of mitigation measures for hospital transmission of SARS-CoV-2 at the onset of the epidemic: the experience of Brescia, Northern Italy
date: 2021-09-15
journal: Infection
DOI: 10.1007/s15010-021-01692-9
sha: daf5c0d665b730c17e5ecd012a875c4a10268416
doc_id: 741270
cord_uid: sycapyve

PURPOSE: Since the first Italian case of SARS-CoV-2 was detected in Lombardy (Northern Italy) Italy quickly became one of the worst-affected European countries, with a severe impact on health-care workers (HCWs). In the first epidemic, HCWs accounted for 12% of all national COVID-19 cases. We evaluated the burden of COVID-19 among HCWs and other non-health-care workers (nHCWs) in a large Italian hospital. METHODS: From March 1st to May 31st 2020, we performed a retrospective study at ASST Civil Hospital, in the Province of Brescia, Lombardy. The study population included all hospital personnel (n = 9265), categorized by professional status. RESULTS: A SARS-CoV-2 test was performed in 3572 workers (38.5%), with a positive result in 552 (5.9% of all hospital personnel). The temporal trend of SARS-CoV-2 cases in hospital staff broadly reflected that in the community, with a great majority of infections occurred during March 2020 (87.7%). From April onward, a steep decrease of positive cases was observed among hospital personnel, while in the community the decrease was much slower. Medical doctors (8.9%) and nurses (8.5%) were the most affected professional categories with a significantly higher risk of SARS-CoV-2 infection (OR 1.436 and OR 1.410, respectively p < 0.0001). HCWs in COVID-19 units presented a significantly higher risk of infection compared to HCWs in non-COVID units (p < 0.001). CONCLUSION: HCWs were severely affected by the COVID-19 epidemic, probably associated with an overwhelming burden of work and lack of preparedness in prevention of nosocomial transmission of the infection. The rapid decrease of COVID-19 spread in the hospital, registered before the one in the community, suggests that the adopted preventive measures were effective.

Background On 11 March 2020, CoronaVirus Disease 2019 (COVID- 19) , a new respiratory infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was declared by WHO as a pandemic [1] . With over 113 million confirmed cases and 2.5 million deaths worldwide as of 1st of March 2021 [2] , COVID-19 has posed enormous challenges to health systems globally. The sudden onset of the pandemic found hospitals and health-care workers (HCWs) unprepared and determined the need to convert significant resources in response to the epidemic. HCWs and all hospital personnel faced an increased risk of SARS-CoV-2 infection due to their professional exposure. Shortages of personal protective equipment (PPE) and a delay in the application of strict isolation measures [3] [4] [5] [6] were common at this stage. According to WHO data [7] , in September 2020 HCWs accounted for 14% of worldwide COVID-19 cases, reaching 35% in some countries, while representing less than 3% of the general population. In the first report of 138 COVID-19-positive patients from Wuhan, China, 29% of the cases were HCWs [8] , while in a cohort study from a single hospital in Spain, 11% of HCWs had COVID-19 during the first months of the epidemic [9] .

Italy registered its first case of SARS-CoV-2 on February 21, 2020, and soon became one of the worst-affected European countries. HCWs accounted for 12% of all national cases by June 2020 [10] .

HCWs represent one of the most precious resources in the fight against the pandemic; focusing research on prevention and control strategies for SARS-CoV-2 nosocomial infection is essential for many reasons. First, infected HCWs and hospital personnel could transmit the virus to vulnerable patients and to close contacts both in hospital and in the community, expanding COVID-19 spread [6] . Moreover, high rates of infection among health personnel inevitably lead to staff shortage weakening the health-care system [11] . This provides the rationale for prioritizing protective interventions among HCWs [5, 6, 11] .

We studied the impact of SARS-CoV-2 infection among hospital personnel in a tertiary hospital of Brescia, Lombardy (6.3% of all Italian cases, as on May 31st, 2020) to identify factors associated with a higher risk of SARS-CoV-2 nosocomial transmission.

We performed a retrospective analysis of data collected between March 1st and May 31st, 2020, at the Local Health and Social Organization (ASST) Civil Hospital of Brescia, a public tertiary referral University hospital. The hospital provides care to the entire municipality at three different sites: Civile Hospital that is the main city hospital, and the decentralized Montichiari Hospital, and Gardone Val Trompia Hospital. Our study population included all hospital personnel working during the study period, categorized by professional status: non-health-care workers (nHCWs), including personnel without any contact with patients [i.e., pharmacists, engineers, sterilization personnel, drivers, priests, secretaries, food service staff, administrative staff (manager, accountant, human resources office, legal affairs)]; and HCWs, including medical doctors (MDs), residents, nurses and midwives, health-care assistants (HCAs) and technicians (i.e., physiotherapists and X-ray technicians). Students were excluded from the analysis. On May 31st, 2020, there were 9265 workers employed by the ASST Civil Hospital of Brescia, of whom 2497 (26.9%) were nHCWs and 6,345,768 (68.5%) were HCWs, including 2481 nurses (26.8%) and 1209 HCAs.

According to the hospital protocol [12] , during the study period any nHCW and HCW was tested for SARS-CoV-2 if presenting with: body temperature > 37.5 °C, fatigue, headache, myalgia and at least one among cough, sore throat and dyspnea, or history of close contact with a confirmed case of COVID-19 (defined by WHO's guidelines [13] ). Testing was based on nose-pharyngeal (NP) swabs for detection of SARS-CoV-2 nucleic acid by specific real-time polymerase chain reaction (RT-PCR). A confirmed case of COVID-19 was defined by a swab positive for SARS-CoV-2 RT-PCR. Every SARS-CoV-2 positive result from any accredited laboratory had to be notified to the occupational health services of the hospital.

We retrospectively collected data regarding confirmed COVID-19 cases among hospital employees mining the databases of the Occupational Health Department and Human Resources Department. For each infected case we extracted demographic data (age and sex), professional status and site of work. The database was anonymized.

Hospital employees were categorized according to their professional status and place of work during the study period. Units of the main Hospital Civile were divided into non-COVID units and COVID dedicated units (n = 16).

To get an insight into the characteristics of COVID-19 spread within the hospital, we performed a voluntary online questionnaire sub-study targeting COVID-19-affected employees. The questionnaire was available from the beginning of June to 31 July 2020. The survey covered the following areas: (i) symptoms and time of onset; (ii) suspected intraor extra-hospital source of contagion: patients, colleagues, family members, others; (iii) circumstances and location of presumptive contact with the source of contagion: invasive and non-invasive procedures generating droplets, indoor place, use and type of mask, and kind of close contact [14] .

Descriptive analysis of the data was performed by determining the incidence rate of SARS-CoV-2 infection in HCWs stratified by professional status and operational unit (OU). Categorical variables were summarized as numbers and percentages and continuous variables were expressed as mean and standard deviation (SD). The outcome was correlated with different categorical variables using the Chi-squared test, with p < 0.05 taken to indicate significance. Possible associations between variables and the primary outcome were explored by odds ratios (OR). ORs were presented with 95% CIs, calculated using the normal approximation (Wald). All analyses were performed using SAS version 9.4 (SAS Institute, Cary, NC).

During the study period, 3572 workers (38.5%) were tested for SARS-CoV-2, of whom 552 had confirmed infection, accounting for 5.9% of all employees. The mean age of those infected was 46.23 (SD ± 11.1), and 415 (70%) were female. The categories receiving the higher number of tests were nurses (n = 1424; 57.3%), along with HCAs (n = 687; 56.8%) and MDs (n = 594; 50.8%). The highest positivity rates were observed among MDs (8.9%, 104 positive cases) and nurses (8.5%, 213 positive cases), followed by technicians (7.6%, 47 positive cases) and HCAs (6.9%, 84 positive cases). As expected, nHCWs presented the lower proportion of PCR tests performed (n = 242, 9.7%), with the lowest incidence rate (< 2%). Applying a logistic regression model to our data, all the HCWs except for the residents showed a significantly higher risk of being infected by SARS-CoV-2 than nHCWs (p < 0.05) ( Table 1) .

HCWs of Infectious Disease Department, the first department accepting confirmed COVID-19 patients, had a positive-NP swab rate of 25% with a significantly increased risk of COVID-19 infection compared to other departments (OR 1.864; CI 1.164-2.986; p value 0.0009). In a second step of the analysis, we gathered HCAs, residents, technicians and workers of unknown status in a unique category called "other status" and we compared it with nHCWs, nurses and doctors. This logistic regression model confirmed a significantly lower proportion of SARS-CoV-2 infection for nHCWs (OR 0.264; CI 0.189-0.370; p value < 0.0001) and an increased proportion of infection among medical doctors (OR 1.436; CI 1.120-1.841; p value < 0.0001) and nurses (OR 1.410; CI 1.151-1.727; p value < 0.0001) ( Table 2 ).

Among hospital employees, the first confirmed case of COVID-19 was diagnosed on March 2. Of all positive-NP swabs detected during the study period (n = 552), the great majority (484, 87.7%) occurred in March, followed by a sharp decrease in April (59, 10.7%) and May (9, 1.6%). Monthly incidence rates were 5.2%, 0.63% and 0.1%. Figure 1 shows the number of confirmed cases among hospital workers per week, along with the total number of cases notified in Brescia during the study period. The peak of the infection was reached earlier, and flattened earlier, among hospital personnel than in the general population. Among the latter, incidence continued to be high during April and May 2020. (Table 3) . iii. Use of mask at the time of infection-Two hundred and thirteen (38.6%) of 552 infected employees answered regarding the use of masks at the time of infection. Almost 30% reported the use of FFP2/3 masks, while surgical masks were reportedly worn by 38.0% of the respondents. The remainder stated not to have worn any type of mask at the time of the presumptive contagion. More than 75% of the positive workers who had unprotected contact had also got in touch with colleagues (Table 4 ).

Brescia was one of the first areas to be devastated by the SARS-CoV-2 epidemic in Europe, with a cumulative incidence of > 500/100,000 as on June 3rd, 2020 [10] . The temporal trend of SARS-CoV-2 cases in the hospital setting broadly reflected that in the community, as the great majority of infections occurred during March 2020 (87.7%). However, in April 2020, a sharp decrease in the curve was observed in the hospital, while the community continued to be severely affected in April and May [15] . During the first epidemic wave of SARS-CoV-2, hospital personnel in Brescia had an incidence of 5.9%. In a recent meta-analysis, the estimated prevalence of SARS-CoV-2 infection in HCWs was 11%, although high variability was detected among the evaluated studies (from 0.4 to 57%) [16] . The inclusion of nHCWs in our study may explain the lower incidence seen compared to others [6, 9] . Since the beginning of the epidemic, home-working strategies have been implemented to reduce the risk of transmission. This intuitively contributed to the lower incidence detected in nHCWs (p < 0.05). Moreover, hospital directives released on 5th March 2020 did not indicate the need of PPE for hospital personnel not directly involved in assistance to COVID patients, following the indication of the World Health Organization at that time [17, 18] . Nevertheless, the hospital offered surgical masks to both HCWs and nHCWs, and FFP2/FFP3 in case of direct assistance to COVID patients. Universally, PPE utilization was progressively introduced on 23rd March, although not mandatory but highly suggested, and became required for everybody on the 18th of May [19, 20] . Interestingly, nHCWs were much less tested compared to HCWs, but had a slightly higher positivity rate (19% vs 15.2%). This might be explained by the fact that nHCWs were a lower priority for PPE distribution (PPE not indicated unless in case of front-office activities until the 23rd March) and nHCWs might also have had a lower perception of the risk. HCWs, feared of being a possible source of infection, self-established very early quarantine measures, limiting contact with relatives and friends far beyond this became mandatory for the general population. This attitude may have reduced unprotected exposure to unknown infected people in community settings, especially in the early epidemic. The impact of in-hospital versus community-acquired infection is still to be well understood, and some authors highlighted the possibility of community transmission for HCWs too [16] . However, the importance of workplace exposure had already been suggested by other studies [16] . In our survey, hospital staff had a significantly greater incidence compared to the community (5.9% versus 1.1%). Medical doctors (8.9%) and nurses (8.5%) were at higher risk of being affected by SARS-CoV-2 compared to other professional categories. Moreover, personnel involved in COVID dedicated units had more than double the risk of being infected with SARS-CoV-2 compared to those working in non-COVID units (OR 2.74). This is in contrast with studies performed in Wuhan at the beginning of the epidemic which showed a higher risk of infection in low-risk units, where workers were less trained on the use of PPE [6, 21] . Conversely, more recent Italian [22] [23] [24] and American studies [25] showed results similar to ours, alongside the Denmark study on seroprevalence (thus identifying also asymptomatic cases) that demonstrated a higher prevalence for workers in COVID-19 units than other frontline workers [26] . Besides, another retrospective survey conducted in our hospital found no correlation between working in COVID units and positive serostatus, presumably due to a higher risk awareness [27] .

At the very beginning of the epidemic, the time investigated by our study, transmission routes of SARS-CoV-2 had not been fully elucidated and risk mitigation measures (i.e., specific distinction of departments in COVID-19 units and non-COVID-19 units, proper use of PPE) had not been established yet. These factors facilitated in-hospital transmission in our Infectious Diseases Department, the first one accepting confirmed and suspected COVID-19 patients.

Conversely, the steep decrease of positive cases among hospital personnel observed after March probably reflects adequate preventive and tracing nosocomial measures implemented on daily bases, while new scientific evidence was cumulating [21, [28] [29] [30] [31] .

Finally, the perception of those who answered the questionnaire suggests that infections were mainly acquired from the working environment (88% of 279 positive interviews), where at least 40% of cases were reportedly acquired by contact with colleagues. The fact that about one-third of 213 interviewees reported not to have worn any masks at the time of presumptive contagion supports the important role of masks in preventing infection spread [28] [29] [30] [31] .

The role of asymptomatic and pre-symptomatic infections in transmission was debated at the time of the investigation. More recent evidence supports the role of asymptomatic cases in the transmission of the infection [32, 33] . In this scenario, risk mitigation measures adopted in hospital settings have certainly reduced transmission from asymptomatic or pre-symptomatic affected people. The risk of asymptomatic transmission was unknown in the early epidemic, and this could have determined a false perception of safety among employees when interacting with each other, especially in the few and short breaks during highly stressful shifts.

Our study has limitations. First, its retrospective design limited the number of variables in this study. Second, we did not detect asymptomatic infections and the real infection rate in the whole cohort might have been underestimated. Third, the results of the questionnaire analysis may have been biased by individual beliefs and perceptions on the time and site of exposure. Finally, the findings of the questionnaire may be biased by the proportion (about 50 of non-respondents).

We report evidence of great risk of acquisition of SARS-CoV-2 among health-care workers at the very beginning of the epidemic. The infection spread very quickly among the clinical personnel before mitigation measures were recommended and implemented. However, the early flattening of the curve of infection of in-hospital staff, compared to the general population, suggests that preventive interventions were effective. As expected, health-care workers of COVID dedicated units presented a significantly higher risk of contracting SARS-CoV-2. Our data show that the adoption of preventive measures together with a supply of adequate PPE played a pivotal role in containing hospital transmission.

The SARS-CoV-2 epidemic of 2019 warns us about the risk for health personnel at the onset of epidemics due to new agents. Effective preparedness policies should always be rapidly implemented to protect people and places of care. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creat iveco mmons. org/ licen ses/ by/4. 0/.

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