Literature DB >> 35853662

Clinical characteristics, multiorgan dysfunction and outcomes of patients with COVID-19: a prospective case series.

Kimia Honarmand1, Kyle Fiorini1, Debarati Chakraborty1, Daniel Gillett1, Karishma Desai1, Claudio Martin1, Karen J Bosma1, Marat Slessarev1, Ian M Ball1, Tina Mele1, Danielle LeBlanc1, Sameer Elsayed1, Alejandro Lazo-Langner1, Mike J Nicholson1, Robert Arntfield1, John Basmaji2.   

Abstract

BACKGROUND: Characterizing the multiorgan manifestations and outcomes of patients hospitalized with COVID-19 will inform resource requirements to address the long-term burden of this disease. We conducted a descriptive analysis using prospectively collected data to describe the clinical characteristics and spectrum of organ dysfunction, and in-hospital and longer-term clinical outcomes of patients hospitalized with COVID-19 during the first wave of the pandemic at a Canadian centre.
METHODS: We conducted a prospective case series involving adult patients (aged ≥ 18 yr) with COVID-19 admitted to 1 of 2 hospitals in London, Ontario, from Mar. 17 to June 18, 2020, during the first wave of the pandemic. We recorded patients' baseline characteristics, physiologic parameters, measures of organ function and therapies administered during hospitalization among patients in the intensive care unit (ICU) and in non-ICU settings, and compared the characteristics of hospital survivors and nonsurvivors. Finally, we recorded follow-up thoracic computed tomography (CT) and echocardiographic findings after hospital discharge.
RESULTS: We enrolled 100 consecutive patients (47 women) hospitalized with COVID-19, including 32 patients who received ICU care and 68 who received treatment in non-ICU settings. Respiratory sequelae were common: 23.0% received high-flow oxygen by nasal cannula, 9.0% received noninvasive ventilation, 24.0% received invasive mechanical ventilation and 2.0% received venovenous extracorporeal membrane oxygenation. Overall, 9.0% of patients had cerebrovascular events (3.0% ischemic stroke, 6.0% intracranial hemorrhage), and 6.0% had pulmonary embolism. After discharge, 11 of 19 patients had persistent abnormalities on CT thorax, and 6 of 15 had persistent cardiac dysfunction on echocardiography.
INTERPRETATION: This study provides further evidence that COVID-19 is a multisystem disease involving neurologic, cardiac and thrombotic dysfunction, without evidence of hepatic dysfunction. Patients have persistent organ dysfunction after hospital discharge, underscoring the need for research on long-term outcomes of COVID-19 survivors.
© 2022 CMA Impact Inc. or its licensors.

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Mesh:

Year:  2022        PMID: 35853662      PMCID: PMC9312996          DOI: 10.9778/cmajo.20210151

Source DB:  PubMed          Journal:  CMAJ Open        ISSN: 2291-0026


The typical clinical spectrum of COVID-19, the illness caused by SARS-CoV-2, ranges from mild respiratory symptoms to multiorgan failure and death.1,2 Emerging evidence has shown that COVID-19 is associated with a range of pulmonary and extrapulmonary organ involvement.3 Although early Canadian data shed light on the outcomes and mortality rate, studies on the morbidity of hospitalized patients have been sparse and often based on retrospectively collected data,4–6 and many have excluded patients hospitalized outside the intensive care unit (ICU).5–7 To characterize the clinical course, multiorgan involvement and outcomes of COVID-19, prospectively collected data are required. Such data may potentially inform Canadian health care priorities as they relate to both the long-term burden of COVID-19 and future pandemics. We conducted a descriptive analysis using prospectively collected data to describe the clinical characteristics and spectrum of organ dysfunction, and in-hospital and longer-term clinical outcomes of hospitalized patients with COVID-19 during the first wave of the pandemic at a Canadian centre.

Methods

Study design and setting

This prospective case series was conducted at 2 sites in London Health Sciences Centre, a 1116-bed academic, tertiary care centre in London, Ontario, that comprises 2 hospitals: Victoria Hospital and University Hospital. We report this study in compliance with Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines for reporting observational studies.8

Patient recruitment

We consecutively enrolled all adult patients admitted to hospital with a diagnosis of COVID-19 from Mar. 17 to June 18, 2020. Inclusion criteria included symptoms consistent with COVID-19,1 age 18 years or older and a diagnosis of COVID-19 confirmed by a positive nasopharyngeal or tracheal aspirate polymerase chain reaction assay, either 7 days before hospital admission (not including the day of hospital admission) or at the time of the index hospitalization. We excluded patients who declined to participate in the study.

Data collection

Several study authors (D.C., K.D., K.F., D.G., K.H. and J.B.) screened all hospital admissions on a daily basis, enrolled eligible patients, and collected data prospectively using a pilottested case report form on the Research Electronic Data Capture (REDCap) platform, hosted by the Lawson Health Research Institute. We employed branching logic and numerical validations in the REDCap case report form to enhance data accuracy. One of the principal investigators (J.B. or K.H.) reviewed all data collected daily to ensure accuracy and completeness. We recorded patients’ baseline demographic characteristics, physiologic parameters, investigations (including incidence and findings of computed tomography [CT], echocardiography and lung ultrasonography studies), therapies administered throughout hospitalization in non-ICU and ICU settings, and overall outcome (i.e., in-hospital death v. discharge from hospital and discharge destination). Finally, we recorded any echocardiography and thoracic CT scans performed after hospital discharge for clinical indications up until Dec. 31, 2020. Echocardiography was conducted by an echocardiography technologist and the data were extracted by one of the study authors (J.B.), who is an intensive care physician with advanced training in point-of-care ultrasonography. Lung ultrasound images were acquired and reported by emergency physicians and critical care physicians. Data extraction was done by a study author (J.B.). Computed tomography reports were dictated by a radiologist. Data from the final radiology report were extracted by one of the study investigators. We collected data from patients and their clinical teams, paper charts, electronic medical records and the Critical Care Information System database. Appendix 1 (available at www.cmajopen.ca/content/10/3/E675/suppl/DC1) provides a description of all data elements and sources. To ensure that our coding of the reports was relevant and comprehensive, we used the expertise of the study team. The study team consists of experts in these areas, including a respirologist (M.J.N.) and 2 intensive care physicians with advanced training and expertise in point-of-care lung ultrasonography and echocardiography (J.B. and R.A.), one of whom (R.A.) is an internationally recognized expert in advanced point-of-care echocardiography. This expertise facilitated the coding of relevant CT chest and echocardiographic data to ensure that we recorded relevant information in a consistent and accurate way, especially since we aimed to use the data to delineate derangements in cardiac physiology as a result of COVID-19.

Statistical analysis

We used descriptive statistics (means and standard deviations, medians and interquartile ranges [IQRs], and proportions and percentages, as appropriate) to summarize patients’ baseline characteristics, physiologic parameters, therapies and outcomes. We applied the Wilcoxon rank-sum test for non-normally distributed continuous variables and the χ2 statistic for categorical variables, as appropriate, to compare characteristics of hospital survivors with those of nonsurvivors. We also compared lung ultrasound findings of patients who were not mechanically ventilated with the findings of those who were mechanically ventilated, expressed as an odds ratio with 95% confidence interval. In addition, we compared the characteristics of patients who were admitted to and remained in a non-ICU location with characteristics of patients who were initially admitted to a non-ICU location but were subsequently transferred to ICU because of clinical deterioration. We selected variables on the basis of prior retrospective data showing an association between the variable and outcomes of interest.1,9 They included age, vital signs at emergency department triage, and laboratory data obtained on admission, such as blood pH, white blood cell count, hemoglobin, platelets, lymphocyte count, lactate, ferritin, lactate dehydrogenase, C-reactive protein and troponin levels. All statistical tests are 2-sided, with the threshold of statistical significance set at a p value of less than 0.05. We performed all data analyses using SPSS version 25.0 (IBM).

Ethics approval

Western University’s Research Ethics Board approved the conduct of this study (study no. 115732; Apr. 1, 2020).

Results

From Mar. 17 to June 18, 2020, 101 patients were admitted to 1 of the participating hospitals with a positive SARS-CoV-2 test. Of those, 1 patient declined to participate in the study. We included 100 patients (32 ICU and 68 non-ICU patients). Figure 1 provides an overview of the recruitment procedures and patients’ clinical disposition in hospital. Table 1 presents patients’ baseline characteristics.
Figure 1:

Overview of patient enrolment and disposition. Note: CT = computed tomography, ICU = intensive care unit.

Table 1:

Baseline characteristics of patients admitted to hospital with COVID-19

CharacteristicNo. (%)*
All patientsn = 100Non-ICU patientsn = 68ICU patientsn = 32
Demographic characteristics
 Age, yr, median (IQR)74 (56–83)76 (60–85)63 (55–74)
 Sex, male53 (53.0)34 (50.0)19 (59.4)
 Body mass index, mean ± SDn = 8429.2 ± 8.2n = 5628.1 ± 7.9n = 2831.4 ± 8.5
Preadmission location
 Home66 (66.0)41 (60.3)25 (78.1)
 Long-term care facility28 (28.0)24 (35.3)4 (12.5)
 Retirement home1 (1.0)1 (1.5)0
 Other5 (5.0)2 (2.9)3 (9.4)
Comorbidities
 Chronic cardiac disease24 (24)17 (25.0)7 (21.9)
 Chronic pulmonary disease17 (17)14 (20.6)3 (9.4)
 Asthma15 (15.0)10 (14.7)5 (15.6)
 Chronic kidney disease15 (15.0)10 (14.7)5 (15.6)
 Liver disease4 (4.0)2 (2.9)2 (6.3)
 Chronic neurologic disorder6 (6.0)5 (7.4)1 (3.1)
 Cancer (active only)9 (9.0)7 (10.3)2 (6.3)
 History of cancer (in remission)8 (8.0)7 (10.3)1 (3.1)
 Obesity11 (11.0)7 (10.3)4 (12.5)
 Diabetes30 (30.0)19 (27.9)11 (34.4)
 Dementia (any etiology)16 (16.0)15 (22.1)1 (3.1)
 Other comorbidities7 (7.0)5 (7.4)2 (6.3)
Habits
 Current smoker9 (9.0)7 (10.3)2 (6.3)
 Ex-smoker28 (28.0)22 (32.4)6 (18.8)
 Alcohol use (> 14 drinks per week)4 (4.0)4 (5.9)0
 Illicit drug use1 (1.0)1 (1.5)0
Exposure history
 Contact with confirmed case of SARS-CoV-2 infection30 (30.0)23 (33.8)7 (21.9)
 Contact with suspected case of SARS-CoV-2 infection9 (9.0)5 (7.4)4 (12.5)
 Travel outside Canada9 (9.0)6 (8.8)3 (9.4)
 Travel within Canada1 (1.0)01 (3.1)

Note: ICU = intensive care unit, IQR = interquartile range, SD = standard deviation.

Unless stated otherwise.

Overview of patient enrolment and disposition. Note: CT = computed tomography, ICU = intensive care unit. Baseline characteristics of patients admitted to hospital with COVID-19 Note: ICU = intensive care unit, IQR = interquartile range, SD = standard deviation. Unless stated otherwise.

Clinical presentation

Table 2 presents patients’ clinical characteristics at the time of hospital admission. Symptoms reported by more than 50% of patients at the time of hospitalization for COVID-19 were cough, dyspnea, fever and fatigue. At the time of assessment in the emergency department, 44.2% (42/95) of patients presented with a respiratory rate greater than 24 breaths/min, and 35.4% (35/99) received supplemental oxygen therapy in the emergency department to maintain oxygen saturation levels above 92%.
Table 2:

Clinical characteristics at the time of presentation to hospital

CharacteristicNo. (%)*
All patientsn = 100Non-ICU patientsn = 68ICU patientsn = 32
Presenting symptom for > 20% of patients
 Cough71 (71.0)50 (73.5)21 (65.6)
 Fever62 (62.0)37 (54.4)25 (78.1)
 Dyspnea63 (63.0)40 (58.8)23 (71.9)
 Fatigue51 (51.0)35 (51.5)16 (50.0)
 Diarrhea32 (32.0)23 (33.8)9 (28.1)
 Myalgia25 (25.0)13 (19.1)12 (37.5)
 Headache23 (23.0)13 (19.1)10 (31.3)
Vital signs at hospital presentation
 Temperature > 38°C36/98 (36.7)19/67 (28.4)17/31 (54.8)
 Heart rate > 100 beats/min31/96 (32.3)18/66 (27.3)13/30 (43.3)
 Systolic blood pressure < 90 mm Hg3/98 (3.1)2/67 (3.0)1/30 (3.3)
 Respiratory rate > 24 breaths/min42/95 (44.2)23/67 (34.3)19/28 (67.9)
 Oxygen saturation < 92%20/98 (20.4)8/67 (11.9)12/31 (38.7)
 Supplemental oxygen therapy at clinical presentation35/99 (35.4)18/67 (26.9)17/32 (53.1)
Laboratory results at hospital presentation, mean ± SD
 Leukocyte count, ×109/L10.6 ± 13.211.0 ± 15.410.0 ± 6.1
 Lymphocyte count, ×109/L3.3 ± 12.94.2 ± 15.51.3 ± 1.3
 Creatinine, μmol/L110.5 ± 80.1106.9 ± 62.6118.5 ± 110.8
 LDH, U/L416.3 ± 253.0367.4 ± 177.5563.0 ± 391.1
 Ferritin, μg/L1702.6 ± 2154.41772.1 ± 2372.31424.4 ± 998.2
 CRP, mg/L97.6 ± 83.587.9 ± 75.8126.8 ± 101.9
 d-dimer, μg/L1198.9 ± 1311.5956.0 ± 789.41603.7 ± 2093.1
 Troponin, ng/L31.8 ± 42.136.3 ± 46.818.1 ± 17.5
 Fibrinogen, g/L7.5 ± 0.57.4 ± 0.7
 pH on blood gas7.4 ± 0.17.4 ± 0.17.4 ± 0.1

Note: CRP = C-reactive protein, ICU = intensive care unit, LDH = lactate dehydrogenase, SD = standard deviation.

Unless stated otherwise.

One data point only.

Clinical characteristics at the time of presentation to hospital Note: CRP = C-reactive protein, ICU = intensive care unit, LDH = lactate dehydrogenase, SD = standard deviation. Unless stated otherwise. One data point only. Twenty patients were admitted to the ICU, and 80 patients were admitted to the ward. Among the 80 patients initially admitted to the ward, 12 were eventually transferred to the ICU after a median hospital stay of 0.5 (IQR 0–2) days. Ultimately, 32 patients were admitted to the ICU.

Complications and management by organ system

Respiratory complications and therapies

Table 3 shows the respiratory complications and therapies received during hospitalization. Among all 100 patients, 79 (79.0%) received supplemental oxygen therapy, including high-flow nasal cannula (23/100), noninvasive ventilation (9/100), invasive mechanical ventilation (24/100) and venovenous extracorporeal membrane oxygenation (2/100). Prone positioning included awake self-proning in non-ICU patients (4/68 patients) and standard proning of ventilated patients in the ICU (13/30). Most ICU patients (24/32) received invasive mechanical ventilation, with a median duration of 14 (IQR 10–22) days.
Table 3:

Pulmonary complications and management among patients hospitalized with COVID-19

Complications and managementNo. (%)*
All patientsn = 100Non-ICU patientsn = 68ICU patientsn = 32
Clinical parameters
 PF ratio < 150 mm HgNANA27/32 (84.4)
 Duration of PF ratio < 150 mm Hg, d, median (IQR)NANA8 (4–15)
CT chest findings
 Localized ground-glass opacities4/26 (15.4)3/12 (25)1/14 (7.1)
 Diffuse ground-glass opacities14/26 (53.8)5/12 (41.7)9/14 (64.3)
 Unilateral consolidation or infiltration2/26 (7.7)1/12 (8.3)1/14 (7.1)
 Bilateral consolidation or infiltration14/26 (53.8)7/12 (58.3)7/14 (50.0)
 Unilateral pleural effusion2/26 (7.7)0/12 (0)2/14 (14.3)
 Bilateral pleural effusion3/26 (11.5)2/12 (16.7)1/14 (7.1)
 Emphysematous changes or bronchiectasis4/26 (15.4)2/12 (16.7)2/14 (14.3)
 Scarring or fibrosis4/26 (15.4)0/12 (0)4/14 (28.6)
 Organizing pneumonia pattern2/26 (7.7)1/12 (8.3)1/14 (7.1)
Lung ultrasonography findings
 Irregular pleural line26/30 (86.7)5/7 (71.4)21/23 (91.3)
 Alveolar-interstitial syndrome (B-lines)28/30 (93.3)5/7 (71.4)23/23 (100)
 Consolidation12/30 (40)0/6 (0)12/24 (50.0)
  Unilateral2/12 (16.7)0/6 (0)2/12 (16.7)
  Bilateral10/12 (83.3)0/6 (0)10/12 (83.3)
 Moderate–large pleural effusion2/30 (6.7)0/7 (0)2/23 (8.7)
Respiratory therapies
 Received oxygen therapy79/100 (79.0)47/68 (69.1)32/32 (100.0)
 High-flow nasal cannula23/100 (23.0)5/68 (7.4)18/32 (56.3)
 Noninvasive ventilation9/100 (9.0)1/68 (1.5)8/32 (25.0)
 Invasive ventilation24/100 (24.0)0/68 (0)24/32 (75.0)
 Duration of invasive and noninvasive ventilation in ICU, d, median (IQR)NANAn = 2714 (10–22)
 Prone positioning17/98 (17.3)4/68 (5.9)13/30 (43.3)
 Neuromuscular blocking agentsNANA18/32 (56.3)
 Steroids for respiratory failure8/100 (8.0)4/68 (5.9)4/32 (12.5)
 VV-ECMONANA2/32 (6.3)

Note: CT = computed tomography, ICU = intensive care unit, IQR = interquartile range, NA = not applicable, PF ratio = Pao2/Fio2 ratio, VV-ECMO = venovenous extracorporeal membrane oxygenation.

Unless stated otherwise.

Results reflect CT done during hospitalization.

Results reflect lung ultrasonography done during hospitalization.

Pulmonary complications and management among patients hospitalized with COVID-19 Note: CT = computed tomography, ICU = intensive care unit, IQR = interquartile range, NA = not applicable, PF ratio = Pao2/Fio2 ratio, VV-ECMO = venovenous extracorporeal membrane oxygenation. Unless stated otherwise. Results reflect CT done during hospitalization. Results reflect lung ultrasonography done during hospitalization. Twenty-six patients underwent CT of the thorax. The most common findings were bilateral diffuse ground-glass opacities, bilateral consolidations and new fibrosis or bronchiectasis (Table 3). Lung ultrasonography was performed on 30 patients. The most common abnormalities included thickened, irregular pleural line consistent with an inflammatory process, bilateral alveolar-interstitial syndrome (B-lines) and pulmonary consolidation (Table 3). Consolidation on lung ultrasonography was more likely to be identified among patients receiving mechanical ventilation than among those not receiving mechanical ventilation (75% v. 33%, odds ratio 6.0, 95% confidence interval 1.17–30.73).

Neurologic complications

Table 4 summarizes the short-term neurologic complications among 26 (10 non-ICU, 16 ICU) patients who underwent head CT during hospitalization. Three of 26 patients had an ischemic stroke, and 6 of 26 patients had intracerebral hemorrhage. The 3 patients who had an ischemic stroke did not have a history of previous ischemic stroke.
Table 4:

Extrapulmonary complications among patients hospitalized with COVID-19

Complications and managementNo. (%)*
All patientsn = 100Non-ICU patientsn = 68ICU patientsn = 32
Neurologic complications
 Ischemic stroke3/26 (11.5)1/10 (10.0)2/16 (12.5)
 Intracranial hemorrhage6/26 (23.1)06/16 (37.5)
Thrombotic complications and therapies
 Deep venous thrombosis on ultrasonography2/13 (15.4)02/9 (22.2)
 Pulmonary embolism on CTPA6/26 (23.1)3/12 (25.0)3/14 (21.4)
 Received therapeutic anticoagulation11/100 (11.0)3/68 (4.4)8/32 (25.0)
  Started for presumed hypercoagulable state from COVID-193/100 (3.0)03/32 (9.4)
  Started for confirmed venous thromboembolism7/100 (7.0)3/68 (4.4)4/32 (12.5)
  Started for VV-ECMO circuit1/100 (1.0)01/32 (3.1)
Cardiac and hemodynamic complications and therapies
 Received vasopressors or inotropesNANA24/32 (75.0)
 Duration of vasopressors or inotropes, d, median (IQR)NANAn = 249 (3.75–11.75)
 Corticosteroids for hemodynamic shock4/100 (4.0)04/32 (12.5)
Echocardiography findings
 Depressed LVEF (30%–50%)2/29 (6.9)0/5 (0)2/24 (8.3)
 Severely depressed LVEF (< 30%)2/29 (6.9)1/5 (20.0)1/24 (4.2)
 Reduced RV systolic function5/29 (17.2)1/5 (20.0)3/24 (12.5)
 Pulmonary hypertension9/29 (31.0)2/5 (40.0)7/24 (29.2)
 Pericardial effusion1/29 (3.4)0/5 (0)1/24 (4.2)
Renal complications and therapies
 Acute kidney injury27/100 (27.0)11/68 (16.2)16/32 (50.0)
 Received CRRTNANA5/32 (15.6)
 Duration of CRRT, median (IQR)NANA4 (2.0–6.5)
 Highest AKIN stage
  Stage I16/100 (16.0)9/68 (13.2)7/32 (21.9)
  Stage II5/100 (5.0)05/32 (15.6)
  Stage III6/100 (6.0)2/68 (2.9)4/32 (12.5)
Secondary infections
 Positive respiratory culture (bacterial or fungal)13/100 (13.0)013/32 (40.6)
 Positive blood culture8/100 (8.0)2/68 (2.9)6/32 (18.8)
 Positive urine culture15/100 (15.0)4/68 (5.9)11/32 (34.4)
Clostridioides difficile1/100 (1.0)1/68 (1.5)0

Note: AKIN = Acute Kidney Injury Network, CTPA = computed tomography pulmonary angiography, CRRT = continuous renal replacement therapy, ICU = intensive care unit, IQR = interquartile range, LVEF = left ventricular ejection fraction, NA = not applicable, RV = right ventricular, SD = standard deviation, VV-ECMO = venovenous extracorporeal membrane oxygenation.

Unless stated otherwise.

Results reflect echocardiography done during hospitalization.

Defined by criteria of the Acute Kidney Injury Network.10

Extrapulmonary complications among patients hospitalized with COVID-19 Note: AKIN = Acute Kidney Injury Network, CTPA = computed tomography pulmonary angiography, CRRT = continuous renal replacement therapy, ICU = intensive care unit, IQR = interquartile range, LVEF = left ventricular ejection fraction, NA = not applicable, RV = right ventricular, SD = standard deviation, VV-ECMO = venovenous extracorporeal membrane oxygenation. Unless stated otherwise. Results reflect echocardiography done during hospitalization. Defined by criteria of the Acute Kidney Injury Network.10

Thrombotic complications and therapies

Thrombotic complications and therapies are shown in Table 4. Of the 13 (4 non-ICU, 9 ICU) patients who underwent Doppler ultrasonography, 2 ICU patients had deep venous thrombosis. Twenty-six (12 non-ICU and 14 ICU) patients underwent CT pulmonary angiography. Of these, 6 had pulmonary embolism (3 of 68 non-ICU patients and 3 of 32 ICU patients). Eleven (11.0%) patients received therapeutic anticoagulation during their hospitalization: 3 empirically for suspected COVID-19-associated hypercoagulable state, 7 for confirmed venous thromboembolic disease and 1 for venovenous extracorporeal membrane oxygenation circuit.

Cardiac and hemodynamic complications and therapies

Among 32 ICU patients, 24 (75.0%) received vasopressor therapy for a median of 9 (IQR 3.75–11.75) days. Four patients received hydrocortisone for refractory shock (Table 4). Twenty-nine patients underwent echocardiography during their hospital stay (including both point-of-care and diagnostic). Overall, 4 (13.8%) patients had new left ventricular (LV) dysfunction and 9 (31.0%) patients had new right ventricular (RV) dysfunction (defined as either new systolic failure or pulmonary hypertension).

Hepatic complications

Alanine aminotransferase (ALT) levels were used as a surrogate marker for hepatic dysfunction in patients with COVID-19. The median of the highest ALT level across all study participants during hospital admission was 31 (IQR 22 to 82) U/L.

Renal complications and therapies

In 27 (27.0%) patients (non-ICU: 11/68 [16.2%]; ICU: 16/32 [50.0%]), an acute kidney injury developed. Among ICU patients, 5 received continuous renal replacement therapy for a median of 4 (IQR 2.0–6.5) days (Table 4). At the time of hospital discharge, 3 of 66 patients (4.5%) had persistent renal injury.

Secondary infections

Fifteen of 100 (15.0%) patients had an initially negative SARS-CoV-2 real-time polymerase chain reaction test, which was subsequently positive on repeat testing. In 13 patients, concomitant respiratory infections developed: 12 (12.0%) patients had bacterial respiratory infection and 1 (1.0%) patient had non-Candida fungal respiratory infection. Eight (8.0%) patients had at least 1 positive blood culture consistent with non-contaminant bacteremia, and 1 (1.0%) patient had Clostridioides difficile infection (Table 4).

Characteristics of patients transferred to ICU after hospital admission

Twelve of 100 patients (12.0%) were initially admitted to the ward but were subsequently transferred to ICU because of clinical decompensation shortly after hospitalization (median 0.5, IQR 0–2, d). Compared with patients who remained in a non-ICU location (n = 68), patients transferred to ICU were younger (median 63, IQR 53.75–68, yr v. median 76, IQR 60.3–84.8, yr; p = 0.01). Patients initially admitted to a non-ICU location who were later transferred to ICU were more likely to be febrile (≥ 38°C; 75.0% v. 28.4%; p = 0.003), have a respiratory rate of 24 breaths/min or greater (72.7% v. 34.3%; p = 0.02), and have an oxygen saturation level less than 92% (50.0% v. 11.9%; p = 0.02) on triage vital signs at presentation to hospital.

Patient outcomes

Patient outcomes and postdischarge imaging results to Dec. 31, 2020, are shown in Table 5. Thirty-four of 100 patients (34.0%) died in hospital, including 20 of 68 non-ICU patients (29.4%) and 14 of 32 ICU patients (43.8%). Persistent abnormalities were observed in 11 of the 19 patients who had CT of the thorax after discharge from hospital (median duration of follow-up 108, IQR 41.75–187.75, d). Similarly, 15 patients had repeat echocardiography after discharge from hospital (duration of follow-up 81, IQR 57–181, d), of which 1 had persistent LV dysfunction and 5 had persistent RV dysfunction.
Table 5:

Outcomes of patients hospitalized with COVID-19 after hospital discharge

OutcomeNo. (%)
All patientsn = 100Non-ICU patientsn = 68ICU patientsn = 32
Vital status
 28-day mortality28 (28.0)15 (22.1)13 (40.6)
 Hospital mortality34 (34.0)20 (29.4)14 (43.8)
Disposition among survivors
 Another acute care facility2/66 (3.0)0/48 (0)2/18 (11.1)
 Rehabilitation centre12/66 (18.2)8/48 (16.7)4/18 (22.2)
 Home47/66 (71.2)35/48 (72.9)12/18 (66.7)
 Long-term care facility5/66 (7.6)5/48 (10.4)0/18 (0)
CT thorax findings after hospital discharge
 Ground-glass opacities5/19 (26.3)3/11 (27.3)2/8 (25.0)
 Emphysematous changes or bronchiectasis6/19 (31.6)2/11 (18.2)4/8 (50.0)
 Scarring or fibrosis5/19 (26.3)0/11 (0)5/8 (62.5)
Echocardiography findings after hospital discharge
 Depressed LVEF (30%–50%)1/15 (6.7)1/10 (10.0)0/5 (0)
 Reduced RV systolic function2/15 (13.3)2/10 (20.0)0/5 (0)
 RV dilatation5/15 (33.3)3/10 (30.0)2/5 (40.0)

Note: CT = computed tomography, ICU = intensive care unit, LVEF = left ventricular ejection fraction, RV = right ventricular.

Outcomes of patients hospitalized with COVID-19 after hospital discharge Note: CT = computed tomography, ICU = intensive care unit, LVEF = left ventricular ejection fraction, RV = right ventricular.

Comparing survivors and nonsurvivors

We compared baseline characteristics of patients who did and did not survive to hospital discharge. Nonsurvivors were older (median 80, IQR 71.5–87.5, yr v. 68.5, IQR 54.0–77.3, yr; p < 0.01), more frequently presented with tachycardia (88.9% v. 24.1%; p < 0.01) and more frequently received supplemental oxygen on presentation to the emergency department (50.0% v. 26.6%; p = 0.02). On hospital admission, nonsurvivors were more frequently acidemic (pH < 7.35; 34.5% v. 17.8%; p = 0.04) and had a higher white blood cell count (10.6, IQR 7.1–14.3, ×109/L v. 6.7, IQR 4.8–8.7, ×109/L; p < 0.01), a lower hemoglobin level (124, IQR 113–135, g/L v. 134, IQR 123.3–145.8, g/L; p = 0.03) and a higher troponin level (28, IQR 14.5–75.5, ng/L v. 18, IQR 8.5–29.5, ng/L; p < 0.01).

Interpretation

In this prospective case series involving patients hospitalized with COVID-19, we found a range of pulmonary and extrapulmonary complications in both ICU and non-ICU patients. They had a high prevalence of neurologic complications, thrombotic complications, RV dysfunction and persistent cardiopulmonary pathology after hospital discharge. Although COVID-19 was initially believed to precipitate isolated respiratory illness, evidence now characterizes it as a multisystem disease.3 The full spectrum of organ involvement and the associated outcomes in patients with COVID-19 remain relatively understudied. In our study, nearly 10% of patients had a neurologic complication, including ischemic stroke and intracranial hemorrhage. Other studies reported the prevalence of ischemic stroke to be 2%–6%.11,12 One possible explanation for this phenomenon is that viral infections can result in an inflammatory cascade and endothelial injury that increase the risk of arterial thrombotic events.13,14 We also identified intracerebral hemorrhage as a potential sequela of COVID-19, with this complication developing in 6% of ICU patients in our cohort.15 Intracerebral hemorrhage is hypothesized to be due to the binding of SARS-CoV-2 to angiotensin-converting enzyme 2 receptors on endothelial cells of intracranial blood vessels, resulting in inflammation and disruption of vasculature integrity.16–18 In our cohort, thrombotic events (ischemic stroke, deep venous thrombosis and pulmonary embolism) occurred in 6% of non-ICU patients and 19% of ICU patients. Estimates of thrombotic events in hospitalized patients with COVID-19 have ranged from 5%19 to as high as 33%.20,21 Several mechanisms, including the complement pathway, neutrophil extracellular traps, inflammatory cytokines and endothelial dysfunction may explain why patients with COVID-19 could be hypercoagulable.22,23 Given the prevalence of thrombotic events, there may be value in routine surveillance as part of clinical care for patients with COVID-19. Although there is currently no evidence to support the routine use of anticoagulation, 24 antiplatelet therapy or systemic therapeutic anticoagulation may hold promise as a treatment for very specific subgroups of patients with COVID-19.25 There is a relative paucity of data describing the incidence of RV dysfunction in patients with COVID-19, which manifests as pulmonary hypertension, systolic failure or dilatation in these patients. In one observational study, the prevalence of pulmonary hypertension was 12% in patients with COVID-19 hospitalized in a non-ICU setting.26 In our study, we found that 31% of hospitalized patients had evidence of pulmonary hypertension. Although RV dysfunction has been described in patients with acute respiratory distress syndrome (ARDS), the prevalence of RV dysfunction in our study is higher than what has been reported in non-COVID-19 patients with ARDS.27–29 It is possible that RV dysfunction associated with COVID-19 may be pathologically distinct for several reasons. First, macroand microvascular thrombosis from deranged coagulation pathways could induce RV dysfunction. Second, “permissive hypoxia” as a treatment strategy may increase the prevalence of RV dysfunction.30,31 Similarly, we found evidence for long-term pulmonary complications associated with COVID-19 beyond hospital discharge. Abnormalities such as bronchiectasis, fibrosis or scarring were found in 57% of patients who underwent CT of the thorax after hospital discharge for clinical reasons in our cohort. Although pulmonary fibrosis in patients recovering from COVID-19 has been reported in several small cohorts,32 our study reinforces the notion that respiratory dysfunction can be prevalent and persistent. These findings highlight the need to elucidate the true prevalence and potential mechanisms of extrapulmonary complications associated with COVID-19, particularly neurologic, thrombotic and cardiac manifestations. Although, at present, societal guidelines do not recommend the routine use of full-dose anticoagulation for patients with COVID-19, emerging clinical trial data suggest that systemic therapeutic anticoagulation may hold promise in improving outcomes among high-risk patients with COVID-19.33 Future studies should work to identify the patient phenotype for which the benefits of anticoagulation will outweigh the risks. The prevalence of acute and long-term RV dysfunction highlights the need to balance the respiratory support from positive pressure ventilation with the adverse mechanical effects it frequently imposes on RV function. Lastly, whereas the acute inpatient management of COVID-19 has garnered attention among the scientific community, future research should prioritize characterization of the long-term pulmonary and extrapulmonary complications of COVID-19. This study has several strengths. We included a cohort of ICU and non-ICU patients across a spectrum of disease severity. Standardized diagnostic microbiologic methods were used to define SARS-CoV-2 positivity. Consecutive prospective enrolment reduced selection bias and improved the fidelity of data collection. We also present granular data on the pulmonary and extrapulmonary manifestations of COVID-19 and secondary infections among patients with COVID-19 in a health care setting. We provide data on the clinical outcomes of patients after hospital discharge. Finally, this study also provides a detailed experience of patients hospitalized with COVID-19 starting from hospital admission to beyond hospital discharge.

Limitations

Limitations of any observational study such as this one include the inability to draw conclusions about causality of any specific exposure (e.g., therapy or management strategy) with outcomes. In this study, several diagnostic tests (e.g., ultrasound studies, CT scans, echocardiograms) were performed on a subgroup of patients who may have differed from those not assessed owing to testing and treatment by indication. Furthermore, our cohort reflects patients at 2 Ontario hospitals during the first wave of the COVID-19 pandemic. Larger, multicentre cohort studies are required to provide data that are generalizable beyond the location of this study and the first wave of the pandemic.

Conclusion

This study provides further evidence that COVID-19 is a multisystem disease that results in neurologic, cardiac and thrombotic complications in the acute phase, as well as pulmonary complications that persist beyond the hospitalization. These findings underscore the need to prioritize research on the long-term outcomes and management of COVID-19 survivors.
  33 in total

1.  Thrombosis in Hospitalized Patients With COVID-19 in a New York City Health System.

Authors:  Seda Bilaloglu; Yin Aphinyanaphongs; Simon Jones; Eduardo Iturrate; Judith Hochman; Jeffrey S Berger
Journal:  JAMA       Date:  2020-08-25       Impact factor: 56.272

2.  Inflammation Profiling of Critically Ill Coronavirus Disease 2019 Patients.

Authors:  Douglas D Fraser; Gediminas Cepinskas; Marat Slessarev; Claudio Martin; Mark Daley; Michael R Miller; David B O'Gorman; Sean E Gill; Eric K Patterson; Claudia C Dos Santos
Journal:  Crit Care Explor       Date:  2020-06-22

3.  Influenza-like illness as a trigger for ischemic stroke.

Authors:  Amelia K Boehme; Jorge Luna; Erin R Kulick; Hooman Kamel; Mitchell S V Elkind
Journal:  Ann Clin Transl Neurol       Date:  2018-03-14       Impact factor: 4.511

4.  Intracerebral haemorrhage and COVID-19: Clinical characteristics from a case series.

Authors:  Matthew Benger; Owain Williams; Juveria Siddiqui; Laszlo Sztriha
Journal:  Brain Behav Immun       Date:  2020-06-07       Impact factor: 7.217

5.  Confirmation of the high cumulative incidence of thrombotic complications in critically ill ICU patients with COVID-19: An updated analysis.

Authors:  F A Klok; M J H A Kruip; N J M van der Meer; M S Arbous; D Gommers; K M Kant; F H J Kaptein; J van Paassen; M A M Stals; M V Huisman; H Endeman
Journal:  Thromb Res       Date:  2020-04-30       Impact factor: 3.944

6.  Intracranial hemorrhage in critically ill patients hospitalized for COVID-19.

Authors:  Islam Fayed; Gnel Pivazyan; Anthony G Conte; Jason Chang; Jeffrey C Mai
Journal:  J Clin Neurosci       Date:  2020-08-18       Impact factor: 1.961

Review 7.  The pathophysiology of 'happy' hypoxemia in COVID-19.

Authors:  Sebastiaan Dhont; Eric Derom; Eva Van Braeckel; Pieter Depuydt; Bart N Lambrecht
Journal:  Respir Res       Date:  2020-07-28

8.  Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.

Authors:  Fei Zhou; Ting Yu; Ronghui Du; Guohui Fan; Ying Liu; Zhibo Liu; Jie Xiang; Yeming Wang; Bin Song; Xiaoying Gu; Lulu Guan; Yuan Wei; Hui Li; Xudong Wu; Jiuyang Xu; Shengjin Tu; Yi Zhang; Hua Chen; Bin Cao
Journal:  Lancet       Date:  2020-03-11       Impact factor: 79.321

9.  Pulmonary hypertension and right ventricular involvement in hospitalised patients with COVID-19.

Authors:  Matteo Pagnesi; Luca Baldetti; Alessandro Beneduce; Francesco Calvo; Mario Gramegna; Vittorio Pazzanese; Giacomo Ingallina; Antonio Napolano; Renato Finazzi; Annalisa Ruggeri; Silvia Ajello; Giulio Melisurgo; Paolo Guido Camici; Paolo Scarpellini; Moreno Tresoldi; Giovanni Landoni; Fabio Ciceri; Anna Mara Scandroglio; Eustachio Agricola; Alberto Maria Cappelletti
Journal:  Heart       Date:  2020-07-16       Impact factor: 5.994

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