The global burden of coronavirus disease 2019 (COVID-19) has increased dramatically since the first case was identified in December 2019. Although most persons infected by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) develop mild disease, 5–30% of patients admitted to hospital progress to severe COVID-19 requiring admission to an intensive care unit (ICU).
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Grasselli G, Zangrillo A, Zanella A, et al. Baseline characteristics and outcomes of 1591 patients infected with SARS-CoV-2 Admitted to ICUs of the Lombardy Region, Italy. JAMA 2020; 323: 1574-81.
Guan WJ, Ni ZY, Hu Y, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med 2020; 382: 1708-20.
Myers LC, Parodi SM, Escobar GJ, Liu VX. Characteristics of hospitalized adults with COVID-19 in an integrated health care system in California. JAMA 2020; 323: 2195-8.
Young BE, Ong SWX, Kalimuddin S, et al. Epidemiologic features and clinical course of patients infected with SARS-CoV-2 in Singapore. JAMA 2020; 323: 1488-94.
Salje H, Tran Kiem C, Lefrancq N, et al. Estimating the burden of SARS-CoV-2 in France. Science 2020; 369: 208-11.
In previous preliminary reports, between 30% and 80% of all ICU patients with COVID-19 died.
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The highest mortality rates have been observed among older patients and among patients with multiple comorbidities, including hypertension and diabetes.
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To date, however, characteristics and outcomes of ICU patients have mainly been described in studies with short follow-up time or limited power to assess the impact of potential risk factors on clinical outcomes.
Grasselli G, Zangrillo A, Zanella A, et al. Baseline characteristics and outcomes of 1591 patients infected with SARS-CoV-2 Admitted to ICUs of the Lombardy Region, Italy. JAMA 2020; 323: 1574-81.
Myers LC, Parodi SM, Escobar GJ, Liu VX. Characteristics of hospitalized adults with COVID-19 in an integrated health care system in California. JAMA 2020; 323: 2195-8.
Arentz M, Yim E, Klaff L, et al. Characteristics and outcomes of 21 critically ill patients with COVID-19 in Washington State. JAMA 2020; 323: 1612-4.
Richardson S, Hirsch JS, Narasimhan M, et al. Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with COVID-19 in the New York City area. JAMA 2020; 323: 2052-9.
Yang X, Yu Y, Xu J, et al. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study. Lancet Respir Med 2020; 8: 475-81.
Novel Coronavirus Pneumonia Emergency Response Epidemiology Team. Vital surveillances: the epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) — China, 2020. China CDC Weekly 2020; 8: 113-22. http://weekly.chinacdc.cn/en/article/id/e53946e2-c6c4-41e9-9a9b-fea8db1a8f51 (viewed Sept 2020).
Auld SC, Caridi-Scheible M, Blum JM, et al. ICU and ventilator mortality among critically ill adults with coronavirus disease 2019. Crit Care Med 2020; doi: 10.1097/CCM.0000000000004457 [Epub ahead of print].
Guan WJ, Ni ZY, Hu Y, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med 2020; 382: 1708-20.
Yang X, Yu Y, Xu J, et al. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study. Lancet Respir Med 2020; 8: 475-81.
Zangrillo A, Beretta L, Scandroglio AM, et al. Characteristics, treatment, outcomes and cause of death of invasively ventilated patients with COVID-19 ARDS in Milan, Italy. Crit Care Resusc 2020; 22: 200-11.
Wang K, Zhang Z, Yu M, et al. 15-day mortality and associated risk factors for hospitalized patients with COVID-19 in Wuhan, China: an ambispective observational cohort study. Intensive Care Med 2020; 46: 1472-4.
Wang Y, Lu X, Li Y, et al. Clinical course and outcomes of 344 intensive care patients with COVID-19. Am J Respir Crit Care Med 2020; 201: 1430-4.
On 6 March 2020, the first patient with COVID-19 was admitted to an ICU in Sweden. In response to the reported outbreaks in China and Italy,
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mobilisation of personnel, equipment and facilities started mid-March, with a gradual increase of staffed ICU beds. The Swedish Intensive Care Registry (SIR) has been collecting individual patient data from all 83 ICUs in Sweden since 2001. In cooperation with the Public Health Agency of Sweden, mandatory surveillance data of a number of communicable diseases including COVID-19 are routinely reported.
Grasselli G, Zangrillo A, Zanella A, et al. Baseline characteristics and outcomes of 1591 patients infected with SARS-CoV-2 Admitted to ICUs of the Lombardy Region, Italy. JAMA 2020; 323: 1574-81.
Guan WJ, Ni ZY, Hu Y, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med 2020; 382: 1708-20.
In this population-based cohort study, we aimed to describe the clinical characteristics, process of care, and 30-day mortality of all critically ill patients with COVID-19 admitted to an ICU in Sweden. In addition, we aimed to assess the independent association between potential patient-related risk factors and mortality within 30 days of ICU admission.
Methods
This study was approved by the Swedish Ethics Review Authority (approval number 2020-01477). Data were extracted from SIR, which collects individual data from all Swedish ICUs and operates within the legal framework of the Swedish National Quality Registries.
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This framework does not require written informed consent from the patients, but patients may withdraw their data from the registry at any time. Public health care, including intensive care, is tax-funded and available for all citizens in Sweden regardless of private health insurance.
Swedish National Quality Registries. http://www.kvalitetsregister.se/englishpages.2040.html (viewed Aug 2020).
Setting and participants
We identified all admissions in SIR with confirmed SARS-CoV-2 infection by polymerase chain reaction (PCR) between 6 March and 5 April 2020. We excluded patients without data on follow-up and patients who tested positive for SARS-CoV-2 RNA with other reason for admission than COVID-19. Patients were followed from baseline until death or 26 May 2020, whichever came first. During the inclusion period, 65/83 Swedish ICUs admitted patients with COVID-19.
As of 5 April 2020, 7171 patients had tested positive for SARS-CoV-2 RNA and 690 deaths were registered due to COVID-19 in Sweden.
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During the study period, a total of 4332 patients with COVID-19 had been admitted to hospital.
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Public Health Agency of Sweden. [Number of COVID-19 cases in Sweden (website)]. [Swedish] https://experience.arcgis.com/experience/09f821667ce64bf7be6f9f87457ed9aa (viewed Aug 2020).
National Board of Health and Welfare. [Statistics on inpatient care for patients with COVID-19 (website)]. [Swedish] https://www.socialstyrelsen.se/statistik-och-data/statistik/statistik-om-covid-19/statistik-om-slutenvard-av-patienter-med-covid-19/ (viewed Aug 2020).
Variables and definitions
The SIR collects information on baseline patient characteristics, variables included in the Simplified Acute Physiology Score (SAPS) 3 model, and ICU treatment variables. Baseline characteristics were determined at the time of ICU admission. Physiological data were recorded within one hour before until one hour after ICU arrival. For each physiological variable, the most severe deviation within the specified time span was used. Survival was ascertained by linking SIR to the Swedish Population Register. The primary end point was survival 30 days after admission to ICU. Data were recorded in raw format and transferred electronically to SIR after local validation. The data were entered by intensive care doctors, nurses, or care administrators trained in registration. After central validation, incomplete or inconsistent (entries outside pre-specified limits) patient records were returned to the specific ICUs for correction before the data were accepted and added to the master database.
Statistical analysis
Categorical variables are presented as number (with percentage). Continuous variables are summarised as median with interquartile range (IQR). Data were analysed using STATA/SE 16 (StataCorp, College Station, TX, USA) and R version 3.6.3 (R Foundation for Statistical Computing, Vienna, Austria). Time to death was displayed using the Kaplan–Meier methodology. Analyses of potential risk factors for 30-day mortality were performed using a univariable and multivariable Cox regression model. We considered the following variables for inclusion in the regression model: age, sex, comorbidities (no comorbidity, one or more comorbidities), hospital level (tertiary, county, local) and acute illness severity at admission (SAPS 3 excluding age and comorbidity components). In addition, a Cox regression model was also performed using the following comorbidities as separate covariates: chronic obstructive pulmonary disease (COPD) or asthma, chronic cardiac disease, diabetes, morbid obesity (body mass index > 40 kg/m2) and hypertension. Variables with univariable significance at P < 0.05 were carried forward to the multivariable models. Data were analysed as complete cases. A two-sided P < 0.05 was considered statistically significant.
Results
Patients
From 6 March to 5 April 2020, a total of 633 ICU patients with confirmed SARS-CoV-2 infection were reported to SIR. We excluded 13 patients who were admitted without a primary diagnosis associated with COVID-19 and 16 patients without available outcome data. Therefore, we included 604 patients with laboratory-confirmed COVID-19 in the final analyses (Figure 1). Median number of admissions per site was 5.5 (IQR, 4–15; range, 1–82). Baseline characteristics are presented in Table 1. For the entire cohort, the median age was 61 years (IQR, 52–70 years), and 458 patients (75.8%) were men. About one-quarter of the patients were admitted from the emergency department (ED). Median duration of symptoms before ICU admission was 9 days (IQR, 7–12 days). Most patients were admitted to tertiary (36.9%) or county (54.8%) hospitals. Overall, 220 patients (36.4%) had no reported comorbidity at admission. The most common comorbidities were hypertension (35.9%) and diabetes (25.7%). Median SAPS 3 at admission was 53 (IQR, 46–60), corresponding to a median predicted risk of death of 22% (IQR, 12–36%). Mortality at 30 days was 32.6%. Compared with survivors, non-survivors were older (68 [IQR, 61–75] ν 58 [IQR, 50–65] years), were more likely to be admitted from the ED (32.8% ν 17.4%) and were more likely to have one or more comorbidities (73.6% ν 58.7%). In particular, hypertension and COPD or asthma were more common among the non-survivors. Median SAPS 3 was 51 (IQR, 45–56) in survivors compared with 59 (IQR, 52–64) in non-survivors.