Since December 2019, when the first coronavirus disease-2019 (COVID-19) was reported in Wuhan (Hubei, China), the virus has spread worldwide, causing a global pandemic. This has become an international public health emergency [1]. Spain has been one of the most affected countries in the world being Madrid one of the regions with higher cases and mortality rates [2]. Diagnostic tests and public health interventions have shown to be effective actions to decrease the number of cases [3, 4].Different case definitions and diagnostic test criteria have been used during the COVID-19 spread in Madrid [5]. From the first cluster of cases detected in China, case definition was initially based on epidemiological criteria. Subsequently, diagnostic tests were also allowed in those patients who had to be admitted for severe viral pneumonia. All tests required to be authorized by Public Health [5].First case of COVID-19infection in our center was diagnosed on February 28th (being the first in Madrid on February 24th). Several important dates must be highlighted [1]: i) March 5th, the emergency physicians were allowed to order tests without Public Health authorization in those patients admitted for severe viral pneumonia or met epidemiological criteria; ii) March 11th, Madrid was recognized as an area with community transmission, thereby previous epidemiological criteria were not needed for test request in our region; iii) March 14th, Spanish Government declared a State of Emergency and population confinement was implemented; iv) March 25th, there was an instruction to constrain tests only in patients with unclear COVID-19 diagnosis, but not in those with high clinical suspicion.There is a lack of information about the impact of the different actions undertaken by Spanish Public Health on the number of emergency visits and the frequency of the confirmed COVID cases during the pandemic in Madrid. We aimed to describe the frequency of emergency visits and COVID-19 cases depending on the instructions about the confinement, case definitions and diagnostic test criteria undertaken by Spanish Public Health in an Emergency Department in Madrid during the SARS-CoV-2 pandemic.
METHODS
We present a retrospective case series study that included consecutive patients in the Emergency Department of The University Hospital Clínico San Carlos (HCSC) from 1st to 31st March. HCSC is an urban tertiary university hospital in Madrid with a 400,000 people referent area. The Emergency Department has a medical activity of 140,000 attentions per year. This center is sited in the center of the city where population density is approximately 5,000 inhabitants per km2.Sample was divided into five cohorts: i) Non-COVID-19, cases with non-COVID-19 pathologies; ii) Non-investigated COVID-19, cases with fever of unknown origin or respiratory symptoms, which SARS-CoV-2 etiology was not suspected; iii) Possible COVID-19, cases with minor symptoms related to COVID-19 but not tested; iv) Probable COVID-19, cases with clinical and radiological findings associated with COVID-19 but not tested or inconclusive test results; v) Confirmed COVID-19, cases with a positive test for SARS-CoV-2. The total number of PCR tests was also collected. Differences between public health periods were tested by ANOVA for each cohort, and by ANCOVA including the number of PCR tests (%) as covariate. Significant differences at p<0.05. Analysis was carried out with PAST (v2.17) and R (3.6.1).
RESULTS
Figure 1 shows 7,163 cases: Non-COVID-19 (n=4,071), Non-investigated COVID-19 (n=563), Possible (n=870), Probable (n=648) and Confirmed COVID-19 cases (n=1,011). Public Health measurements applied during each period showed a clear effect on the case proportion for the five cohorts (figure 2). No effect of the PCR test was found as an interaction of this covariate with public health periods, though PCR test number was significantly different between these periods (ANCOVA, data not shown).
Figure 1
The number of visits attending in Emergency Department according to the probability of COVID diagnosis.
The shaded areas show the weekends. The black line represents the number of the diagnostic tests requested.
Figure 2
Patients proportion (mean± DS) for each COVID cohort and public health period (1 to 5).
Each cohort show a significance with a p<0.001 (ANOVA). Different letters show significant differences between periods for each cohort at p<0.05 after Tukey´s post-hoc tests.
The number of visits attending in Emergency Department according to the probability of COVID diagnosis.The shaded areas show the weekends. The black line represents the number of the diagnostic tests requested.Patients proportion (mean± DS) for each COVID cohort and public health period (1 to 5).Each cohort show a significance with a p<0.001 (ANOVA). Different letters show significant differences between periods for each cohort at p<0.05 after Tukey´s post-hoc tests.
DISCUSSION
We highlight these important findings. First, a high number of patients with acute respiratory symptoms or fever of unknown origin were not investigated during the first two weeks because of the test request restrictions [5]. During this pre-test stage, the accurate diagnosis of SARS-CoV-2 infections was prevented and this may have had consequences on the viral transmission and the spread of the outbreak [6]. Second, the lockdown may cause a sharp decline in Non-COVID Emergency Department cases [7]. A significant reduction in Emergency Department visits related to Non-COVID conditions has been described over the first weeks of the pandemic. The hypothesis is that patients were avoiding going to hospitals because they feared getting infected with COVID-19 [8-10]. Finally, there was a high number of cases without a confirmed diagnosis due to SARS-CoV-2 test restrictions. This may be underestimating the current cases and deaths recognized in Spain due to the fact that only patients with microbiological diagnosis are included in the official statistics.There are several limitations in our study. First, this was an observational study and causal relationships cannot be inferred. Second, this is a real-life cohort without intervention in which attending physicians followed the local protocol and the findings cannot extrapolate to other centers. Third, the sensibility and specificity of the PCR may differ from other studies and this fact may have modified the categorization of the patients. Finally, this study included only one center although this may be representative of what has happened in an urban and tertiary Emergency Department that offered health care to one of the nuclei of the pandemic in Madrid.In conclusion, the variability of case definitions and diagnostic test criteria could have had a significant impact on the number of emergency visit and COVID-19 cases diagnosed in Emergency Department.
Authors: Moritz U G Kraemer; Chia-Hung Yang; Bernardo Gutierrez; Chieh-Hsi Wu; Brennan Klein; David M Pigott; Louis du Plessis; Nuno R Faria; Ruoran Li; William P Hanage; John S Brownstein; Maylis Layan; Alessandro Vespignani; Huaiyu Tian; Christopher Dye; Oliver G Pybus; Samuel V Scarpino Journal: Science Date: 2020-03-25 Impact factor: 47.728
Authors: Matthew Philip Pepper; Ernest Leva; Prerna Trivedy; James Luckey; Mark Douglas Baker Journal: Medicine (Baltimore) Date: 2021-07-09 Impact factor: 1.817