Literature DB >> 32444880

Clinical Features and Outcomes of 105 Hospitalized Patients With COVID-19 in Seattle, Washington.

Frederick S Buckner1, Denise J McCulloch1, Vidya Atluri1, Michela Blain1, Sarah A McGuffin1, Arun K Nalla2, Meei-Li Huang2, Alex L Greninger2, Keith R Jerome2,3, Seth A Cohen1, Santiago Neme1, Margaret L Green1, Helen Y Chu1, H Nina Kim1.   

Abstract

BACKGROUND: Washington State served as the initial epicenter of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic in the United States. An understanding of the risk factors and clinical outcomes of hospitalized patients with coronavirus disease 2019 (COVID-19) may provide guidance for management.
METHODS: All laboratory-confirmed COVID-19 cases in adults admitted to an academic medical center in Seattle, Washington, between 2 March and 26 March 2020 were included. We evaluated individuals with and without severe disease, defined as admission to the intensive care unit or death.
RESULTS: One hundred five COVID-19 patients were hospitalized. Thirty-five percent were admitted from a senior home or skilled nursing facility. The median age was 69 years, and half were women. Three or more comorbidities were present in 55% of patients, with hypertension (59%), obesity (47%), cardiovascular disease (38%), and diabetes (33%) being the most prevalent. Most (63%) had symptoms for ≥5 days prior to admission. Only 39% had fever in the first 24 hours, whereas 41% had hypoxia at admission. Seventy-three percent of patients had lymphopenia. Of 50 samples available for additional testing, no viral coinfections were identified. Severe disease occurred in 49%. Eighteen percent of patients were placed on mechanical ventilation, and the overall mortality rate was 33%.
CONCLUSIONS: During the early days of the COVID-19 epidemic in Washington State, the disease had its greatest impact on elderly patients with medical comorbidities. We observed high rates of severe disease and mortality in our hospitalized patients.
© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  COVID-19; SARS-CoV-2; comorbidities; hospitalized; outcomes

Mesh:

Year:  2020        PMID: 32444880      PMCID: PMC7314181          DOI: 10.1093/cid/ciaa632

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


Infections with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) first occurred in late 2019 in Hubei Province, China, and has since disseminated worldwide [1, 2]. The first confirmed case in the United States was a returning traveler from Wuhan, China, who presented to medical attention on 19 January 2020, in Snohomish County, Washington [3]. In February, a cluster of coronavirus disease 2019 (COVID-19) cases was identified at a nursing home in Kirkland, Washington, resulting in the first reported death in the United States on 29 February [4, 5]. Since that time, the disease has occurred widely in the greater Seattle area, and cases have been reported in all 50 states [6]. The epidemiology and clinical features of hospitalized COVID-19 patients have been described in China, South Korea, and Singapore [1, 7–10]. The prominent clinical manifestations have included fever, cough, dyspnea, fatigue, myalgia, and radiographic evidence of pneumonia. Shock, acute respiratory distress syndrome (ARDS), acute cardiac injury, acute kidney injury (AKI), and deaths were reported in severe cases [1, 5, 9, 11]. Early reports indicated that the infection occurs in clusters within groups in close contact, and that severe disease was more common in the elderly, men, and those with comorbidities [9]. The epidemiologic and clinical features of COVID-19 disease in the United States are beginning to be elucidated, specifically in critically ill patients [5]. Additional information is needed to help clinicians understand the characteristics of this disease. In this case series, we examine the epidemiology, clinical features, and outcomes of 105 hospitalized patients from 3 university-affiliated hospitals in Seattle, Washington. The characteristics associated with severe versus nonsevere clinical courses are described.

METHODS

Study Design and Participants

We conducted a retrospective chart review examining the clinical characteristics of adult patients with laboratory-confirmed SARS-CoV-2 infection. Patients were included if they were admitted to 1 of 3 University of Washington (UW) affiliated hospitals in Seattle between 2 March and 26 March 2020. The hospitals included UW Medical Center (composed of 2 campuses: Montlake, a 570-bed tertiary/quaternary care facility and Northwest, a 281-bed community-based care facility), and Harborview Medical Center (HMC), a 413-bed level 1 trauma center.

Data Sources and Collection

Demographic data, encounter dates, and laboratory measurements were extracted electronically from the UW clinical data warehouse for confirmed cases. The medications, vital signs, radiology studies, and clinical events were reviewed by physicians in the Division of Infectious Diseases and entered into a standardized data collection instrument using REDCap (Research Electronic Data Capture) [12].

Study Outcomes

The primary outcome was severe COVID-19, defined as a composite endpoint of admission to an intensive care unit (ICU) or death [13]. Each death was reviewed by 2 physicians independently to determine whether it was related to COVID-19. Secondary outcomes included shock and acute respiratory distress syndrome (ARDS), which were also adjudicated by 2 physicians independently. These outcomes were evaluated until 8 May 2020, 43 days from the date the last patient was admitted.

Study Definitions

Fever was defined as a recorded temperature of 38.0°C or higher. Hypoxia was defined as an oxygen saturation <90% on ambient air, or requirement of supplemental O2 [14]. AKI was defined as an increase in creatinine of 0.3 mg/dL from baseline, or 1.5 times the patient’s baseline creatinine [15]. Leukopenia was defined as white blood cell count <4 × 109/L, and lymphopenia was defined as a lymphocyte count <1.5 × 109/L. Cardiac injury was defined as a maximum troponin value of 0.1 ng/mL or higher during hospitalization. Patients were denoted as having ARDS if the physician indicated this in their clinical notes or, in the absence of this documentation, if the patient had new respiratory failure, bilateral lung opacities on chest imaging, and a PaO2:FIO2 ratio ≤ 300 [16]. Shock was defined as hypotension requiring vasopressors. Patients were considered to have received antibiotics during their admission if these were given for more than 48 hours. Patients were considered to have received corticosteroids during their admission if they were newly started on systemic corticosteroids.

Laboratory Testing

Nasopharyngeal samples were tested for SARS-CoV-2 by real-time reverse-transcription polymerase chain reaction (RT-PCR) developed by the University of Washington Virology laboratory [17]. Indeterminate results were confirmed at the Washington State Department of Health (WA DOH) laboratory or the Centers for Disease Control and Prevention (CDC). If a patient had an indeterminate result from the UW Virology Lab and a positive result from the WA DOH or CDC laboratory, this subject was considered positive. If available, residual clinical samples were subsequently tested by quantitative real-time RT-PCR for 12 additional respiratory viruses, including influenza A and B, respiratory syncytial virus, adenovirus, human metapneumovirus, parainfluenza viruses 1–4, rhinovirus, bocavirus, and seasonal coronaviruses [18]. Semiquantitative viral load was defined as the cycle threshold (Ct) of the initial sample tested.

Statistical Analysis

Continuous variables were displayed as median values with simple or interquartile ranges as appropriate. Categorical variables were summarized as counts of all patients or a subset of evaluated patients with percentages. All analyses were conducted using Stata 14.2 (StataCorp).

Study Oversight

This study was approved by the University of Washington Institutional Review Board (STUDY00006181). Informed consent was waived for retrospective review of patient charts.

RESULTS

One hundred five patients with confirmed SARS-CoV-2 infection were hospitalized between 2 March and 26 March 2020, with a median follow-up of 9 days (range, 1–53). The demographic and clinical characteristics are shown in Table 1. The median age was 69 (range, 23–97), half were women, and 71% were white. Thirty-five percent of patients lived in a skilled nursing facility or senior living. Most patients (93%) had at least 1 comorbidity; 55% had 3 or more chronic medical problems. The most common comorbidities were hypertension (59%), obesity (47%), cardiovascular disease (38%), and diabetes (33%).
Table 1.

Demographics and Baseline Characteristics of Patients Infected With SARS-CoV2

All Patients (N = 105)Not Severe (n = 54)Severe (n = 51)
Age, years69 (23–97)67 (25–96)70 (23–97)
 >60 years70 (67)38 (70)32 (63)
Sex
 Male53 (50)23 (43)30 (59)
 Female52 (50)31 (57)21 (41)
Race
 White75 (71)41 (76)34 (67)
 Black6 (6)4 (7)2 (4)
 Asian/Pacific Islander18 (17)7 (13)11 (21)
 Unknown or other6 (6)2 (4)4 (8)
Hispanic ethnicity18 (17)10 (19)8 (16)
Smoking (ever)22/86 (26)12/45 (27)10/41 (24)
Alcohol (any)26/87 (30)14/45 (31)12/42 (29)
Comorbidity
 Hypertension62 (59)32 (59)30 (59)
 Obesity, BMI >30 kg/m244/93 (47)21/50 (42)23/43 (53)
 Cardiovasculara disease40 (38)22 (42)18 (35)
 Diabetes35 (33)17 (31)18 (35)
 Chronic kidney disease27 (26)12 (22)15 (29)
 Heart failure20 (19)13 (24)7 (14)
 Cancer16 (15)5 (9)11 (22)
 Asthma10 (10)7 (13)3 (6)
 Obstructive sleep apnea12 (11)5 (9)7 (14)
 COPD11 (10)4 (7)7 (14)
 Autoimmune disease9 (9)5 (10)4 (8)
 Transplant (solid organ)4 (4)3 (6)1 (2)
 HIV infection1 (1)01 (2)
 Pregnancy2 (2)2 (4)0
Comorbidity burden
 None7 (7)3 (5)4 (8)
 1240 (38)23 (43)17 (33)
 3 or more58 (55)28 (52)30 (59)
Residence
 Homeless1 (1)1 (2)0
 Senior living10 (10)7 (13)3 (6)
 Skilled nursing facility26 (25)10 (19)16 (31)
 Home67 (64)35 (66)32 (63)
Epidemiologic risk factor
 None50 (48)27 (50)23 (45)
 Travel2 (2)02 (4)
 Known contact17 (16)10 (19)7 (16)
 Nursing/care facility35 (33)17 (31)18 (35)

Abbreviations: BMI, body mass index; COPD, chronic obstructive pulmonary disease; HIV, human immunodeficiency virus.

aIncludes cerebrovascular disease. Values are noted as median (range), n of all patients (%) or a proportion of subset, n/N (%).

Demographics and Baseline Characteristics of Patients Infected With SARS-CoV2 Abbreviations: BMI, body mass index; COPD, chronic obstructive pulmonary disease; HIV, human immunodeficiency virus. aIncludes cerebrovascular disease. Values are noted as median (range), n of all patients (%) or a proportion of subset, n/N (%). The majority of patients (63%) presented with symptoms lasting more than 5 days (Table 2). The most common presenting symptoms were cough (72%), dyspnea (53%), and fatigue (49%). Twenty-three percent of patients reported diarrhea, and 22% either nausea or vomiting. Nasal symptoms (congestion/rhinorrhea) and sore throat occurred in 14% and 7%, respectively. The initial chest x-ray was abnormal in 86% of cases. A minority of patients (39%) had a fever on admission or within the first 24 hours. Hypoxia was observed in 41% at the time of admission. Blood laboratories at admission showed leukopenia in 15% and lymphopenia in 73% of patients (Table 3).
Table 2.

Clinical Signs and Symptoms on Presentation

All Patients (N = 105)Not Severe (n = 54)Severe (n = 51)
Vitals
 First temperature36.9 (35.3–39.8)36.8 (36.1–39.3)37 (35.3–39.8)
 T >38.0 C × 1st 24 hours37 (39)13 (25)24 (55)
 Heart rate >100 bpm39 (37)19 (35)20 (39)
 Systolic pressure, mmHg129 (70–188)130 (93–188)125 (70–173)
 Respiratory rate20 (14–48)19 (14–32)22 (14–48)
 Hypoxiaa43 (41)10 (19)33 (65)
Symptoms
 Symptoms × >5 days54/86 (63)31/43 (72)23/43 (53)
 Cough76 (72)41 (76)35 (69)
 Dyspnea56 (53)24 (44)32 (63)
 Fatigue51 (49)29 (54)22 (43)
 Fever/chills49 (47)25 (46)24 (47)
 Anorexia33 (31)18 (33)15 (29)
 Sputum production19 (18)8 (15)11 (22)
 Diarrhea24 (23)12 (22)12 (24)
 Myalgia/arthralgia25 (24)15 (28)10 (20)
 Nausea/vomiting23 (22)14 (26)9 (18)
 Chest pain15 (14)9 (17)6 (12)
 Congestion/rhinorrhea15 (14)9 (17)6 (12)
 Headache8 (8)4 (7)4 (8)
 Sore throat7 (7)5 (9)2 (4)
Imaging
 Abnormal CXR78/91 (86)36/45 (80)42/46 (91)
 Abnormal chest CT18/19 (95)7/8 (88)11/11 (100)

Values are noted as median (range), n of all patients (%) or a proportion of subset, n/N (%).

Abbreviations: CT, computed tomography; CXR, chest x-ray.

aDefined as O2 saturation of <90% on ambient air or requiring supplemental O2.

Table 3.

Laboratory Measurements on Presentation

All patients (n = 105)Not Severe (n = 54)Severe (n = 51)
White blood cell count, x 109/L6.4 (4.6–8.8)5.3 (4.3–7.3)7.3 (5.8–13.3)
 <415 (15)10 (18)5 (10)
 41068 (66)41 (76)27 (55)
 ≥1020 (19)3 (6)17 (35)
Lymphocyte count, x 109/L1.1 (0.6–1.5)1.2 (0.8–1.6)0.9 (0.5–1.4)
 <1.574 (73)36 (69)38 (78)
Neutrophil count, × 109/L4.3 (3.0–6.3)3.8 (2.8–5.1)5.4 (3.3–8.4)
Hemoglobin, g/dL12 (10.8–13.2)12.1 (11.3–13.4)11.7 (10.2–12.6)
Platelet count, × 109/L210 (147–260)207 (158–237)211 (128–279)
 <15027 (26)11 (20)16 (33)
Prothrombin time, s (n = 70)14.1 (13.4–15.8)14 (13.2–16.3)14.2 (13.5–15.6)
Partial thromboplastin time, s (n = 53)35 (30–40)36 (31–40)33.5 (30–41)
Alanine aminotransferase, U/L (n = 94)25 (17–39)22 (13–31)30 (19–55)
 >4021/94 (22)6/47 (13)15/47 (32)
Aspartate aminotransferase, U/L (n = 94)32 (22–48)27 (20–37)39 (25–60)
 >4031/94 (33)9/47 (19)22/47 (47)
Total bilirubin, mg/dL (n = 94)0.5 (0.4–0.8)0.5 (0.4–0.7)0.5 (0.3–0.9)
Blood urea nitrogen, mg/dL21 (13–32)16 (12–23)26 (21–37)
Creatinine (serum), mg/dL0.84 (0.66–1.32)0.83 (0.61–1.06)0.88 (0.69–1.45)

All values are noted as median (interquartile range [IQR]), n of all patients (%) or a proportion of subset, n/N (%).

Clinical Signs and Symptoms on Presentation Values are noted as median (range), n of all patients (%) or a proportion of subset, n/N (%). Abbreviations: CT, computed tomography; CXR, chest x-ray. aDefined as O2 saturation of <90% on ambient air or requiring supplemental O2. Laboratory Measurements on Presentation All values are noted as median (interquartile range [IQR]), n of all patients (%) or a proportion of subset, n/N (%). Of 39 patients who had SARS-CoV-2 samples available for semi-quantitative testing, the median Ct was 26.5 (range, 12.4–35.4) with no difference between severe and nonsevere cases. Fifty samples were available for viral coinfection testing. No coinfections with influenza A or B, respiratory syncytial virus, adenovirus, human metapneumovirus, parainfluenza viruses, rhinovirus, or bocavirus were identified. There were no coinfections with coronaviruses 229E, NL63, OC43, or HKU1. Angiotensin converting enzyme (ACE) inhibitors or angiotensin receptor blockers (ARBs) were used in 33% of patients (Table 4), whereas aspirin or nonsteroidal anti-inflammatory drugs were used in 35%. The proportion of all patients on corticosteroids was 10% or other immunosuppressants was 11%.
Table 4.

Medications, Interventions, and Complications

Total (n = 105)
Medications on admission
 Statin44 (42)
 Aspirin/NSAID37 (35)
 ARB16 (15)
 ACE inhibitor19 (18)
 Immunosuppressant(s)12 (11)
 Corticosteroid10 (10)
Medications during hospital course
 Antibiotics51 (50)
 Hydroxychloroquine44 (42)
 Remdesivir vs placebo (trial)21 (20)
 Remdesivir (compassionate use)4 (4)
 Corticosteroids3 (3)
Interventions
 Highest level of oxygen support
  None22 (21)
  O2 by nasal cannula39 (37)
  High-flow O2 or nonrebreather24 (23)
  Noninvasive (BiPAP)1 (1)
  Mechanical ventilation17 (16)
  ECMO2 (2)
 Hemodialysis/SLED/CRRT (newly initiated)3 (3)
Complications
 Shock17 (16)
 ARDS28 (27)
 Cardiac injury13/67 (19)
 AKI31 (30)
 Death35 (33)

Values represent all patients, N (%) or a proportion of subset, n/N (%).

Abbreviations: ACE, angiotensin converting enzyme; AKI, acute kidney injury; ARB, angiotensin II receptor blockers; ARDS, acute respiratory distress syndrome; CRRT, continuous renal replacement therapy; ECMO, extracorporeal membrane oxygenation; NSAID, nonsteroidal anti-inflammatory drug; SLED, sustained low efficiency dialysis.

Medications, Interventions, and Complications Values represent all patients, N (%) or a proportion of subset, n/N (%). Abbreviations: ACE, angiotensin converting enzyme; AKI, acute kidney injury; ARB, angiotensin II receptor blockers; ARDS, acute respiratory distress syndrome; CRRT, continuous renal replacement therapy; ECMO, extracorporeal membrane oxygenation; NSAID, nonsteroidal anti-inflammatory drug; SLED, sustained low efficiency dialysis. During hospitalization, 42% of patients were treated with hydroxychloroquine (Table 4). In nearly all cases it was dosed at 400 mg PO BID × 1 day, then 200 mg PO BID × 4 days, according to a published study [10]. Remdesivir was provided to 4 patients on a compassionate use protocol. Subsequently, a clinical trial was initiated, and 21 patients were randomized to receive remdesivir or placebo. No other antiviral drugs were administered to treat COVID-19 infection. Half of patients received antibiotics for at least 48 hours during their hospitalization. Only a small fraction (3%) of all patients received corticosteroids at doses that were greater than baseline doses. With respect to nonpharmacological interventions, 76% of all patients required supplemental oxygen either by nasal cannula (37%), high-flow (23%), or mechanical ventilation (18%). Two were placed on extracorporeal membrane oxygenation (ECMO). Three patients (3%) were newly started on renal replacement therapy. Thirty-one (30%) patients developed AKI, which tended to be present on admission (Figure 1). Shock occurred in 17 (16%) patients and occurred on median hospital day 1 (range, 0–10). Acute respiratory distress syndrome was seen in 28 (27%), and 19 (18%) underwent mechanical ventilation, with intubation occurring on median hospital day 1 (range, 0–5). Nineteen percent of patients who had a troponin sent (13 of 67) had evidence of cardiac injury. Fifty-one patients (49%) had severe illness, and 35 patients (33%) died. Among those who died, all deaths were confirmed to be COVID-19-related, and death occurred on median hospital day 7 (range, 0–20). At the end of our chart review, 66 patients survived to discharge (63%), with discharge occurring on median hospital day 9 (range, 1–53), and 4 patients remained hospitalized.
Figure 1.

Time to onset of COVID-19 complications. Points represent individual patients, and bars represent the median with interquartile ranges; number of observations is noted above the x-axis. Abbreviations: AKI, acute kidney injury; COVID-19, coronavirus disease 2019; ICU, intensive care unit admission.

Time to onset of COVID-19 complications. Points represent individual patients, and bars represent the median with interquartile ranges; number of observations is noted above the x-axis. Abbreviations: AKI, acute kidney injury; COVID-19, coronavirus disease 2019; ICU, intensive care unit admission.

DISCUSSION

This is among the first case series of COVID-19 patients hospitalized in the United States. At 3 academic hospitals in Seattle, 105 patients with SARS-CoV-2 infection were admitted between 2 March and 26 March 2020. Fifty-one patients (49%) had severe illness, and 35 patients (33%) died. This is a relatively high mortality rate compared to reports from China and Singapore, where mortality rates in hospitalized patients were 1.4% [9], 4.3% [7], and 0% [8]. This is likely due to the more advanced age (median 69 years) of our cohort compared with these previous case series, which reported average ages of 47 [9], 56 [7], and 47 [8]. Additionally, the burden of comorbidities in our population was extremely high, with 93% of patients having at least 1 comorbidity, also higher than the previously reported rate of comorbidity of 46.4% [7] and 32% [1]. Patients living in nursing or senior living homes composed 35% of the patients, reflecting the increased risk of living in congregated settings. Aside from 1 homeless patient, the remaining 65% of patients were domiciled at private residences prior to hospitalization, indicating that the infection was already distributed throughout the community. Travel was not an important risk, indicating that infections were unlikely to be imported. Only 16% of participants reported a known contact, indicating ongoing community transmission in the several weeks between the first case and this time period [19]. With respect to comorbidities, hypertension (59%), obesity (47%), cardiovascular disease (38%), diabetes (33%), and chronic kidney disease (26%) were the most notable and tended to be more prevalent in cases with severe clinical outcomes. It is striking that 55% of the patients had 3 or more comorbidities, underscoring the vulnerability of chronically ill individuals to COVID-19. Similar associations have been observed in influenza: diabetes and cardiovascular disease are known to increase the risk of developing complications from influenza [20], and previous work has shown an association between obesity and poor outcomes in influenza infection [21, 22]. Furthermore, the association between the presence of hypertension, cardiovascular disease, and diabetes with poor outcomes was documented among patients with Middle East respiratory syndrome coronavirus infection [23]. Chronic lung disease including chronic obstructive pulmonary disease (10%) and asthma (10%) were surprisingly uncommon. Only 2 pregnant patients were observed in this cohort, and they recovered without complications. The frequency of obesity, hypertension, and diabetes associated with our hospitalized COVID-19 patients is concerning given the high prevalence of these conditions in the US population. Of preadmission medications, statins were the most common (42%) followed by ACE inhibitors or ARBs (33% combined). There is conflicting evidence on the effect of renin-angiotensin-aldosterone system (RAAS) inhibitors on angiotensin-converting enzyme 2 (ACE2) [24]. In animal models, ACE inhibitors and ARBs upregulate surface expressed ACE2, a binding target of SARS-CoV2 [25], which could worsen disease. However, animal studies have shown that these medications decrease severe lung injury in some viral pneumonias [26]. Our study could not determine if these medications were a risk factor for severe disease. For most patients, COVID-19 was not an abrupt illness leading to sudden hospitalization; the majority (63%) of patients reported symptoms for least 5 days prior to admission. Only a minority of patients (39%) had documented fever in the first 24 hours of hospitalization. Absence of fever in some patients has been previously reported [9]. The absence of fever in the majority of this largely geriatric cohort is an important finding. Clinicians evaluating older patients will need to have a high index of suspicion for COVID-19 in those who present without fever. Cough (72%), dyspnea (53%), and fatigue (49%) were the most common symptoms reported by patients, consistent with other studies [1, 7]. Gastrointestinal complaints were noted in a minority. Hypoxia and elevated temperatures in the first 24 hours of hospitalization were more frequent in severe COVID-19, but notably, there were few presenting clinical signs or symptoms that distinguished those who would go on to severe disease. Objective data on the patients demonstrated findings previously reported. Chest imaging was abnormal in the vast majority of patients, consistent with previous reports [7]. A majority of patients (73%) had lymphopenia, which was more commonly observed in severe COVID-19. Transaminases were mildly elevated in 22–33% of patients but rarely more than twice the upper limit of normal. Viral coinfection was not identified, concordant with previous published studies describing influenza coinfection only in case reports. Few patients (3%) received corticosteroids, consistent with recent published recommendations [27]. A subset of patients was treated with hydroxychloroquine (40%) or were enrolled in a trial with remdesivir (20%) based on preliminary data suggesting antiviral activity against SARS-CoV2 [28, 29]; whether these provide clinical benefit remains unknown. A large fraction (76%) of these patients required oxygen supplementation, including 18% who received mechanical ventilation. Hemodynamic shock, which occurred in 16% of patients in this group, has been reported previously [5, 9]. The frequency of AKI (30%) appears higher than the reports from China of 0.5% to 7% [1, 9] and likely attributable to the advanced age and high comorbidity burden of our cohort, although severe illness was not limited to the elderly patients in this group. Our study has some limitations. First, as with any observational study derived from routinely collected clinical data, there is the potential for incomplete capture or misclassification of baseline characteristics, particularly for patients who did not receive primary care in our system. Next, this study was performed early in the COVID-19 outbreak when testing was not widespread, and attention was heavily focused on nursing homes. In addition, 4 of these patients remained hospitalized at the time of manuscript submission with partial follow-up. A larger clinical cohort may reveal additional features not readily apparent in our series. In conclusion, COVID-19 has spread rapidly throughout the United States and most of the world. The early experience in Seattle indicated that patients requiring hospitalization for COVID-19 were generally of advanced age with multiple comorbidities. The high morbidity and mortality we observed underscores the urgency of widespread preventive measures to protect this vulnerable population.
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8.  Risk Factors Associated With Acute Respiratory Distress Syndrome and Death in Patients With Coronavirus Disease 2019 Pneumonia in Wuhan, China.

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9.  Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.

Authors:  Chaolin Huang; Yeming Wang; Xingwang Li; Lili Ren; Jianping Zhao; Yi Hu; Li Zhang; Guohui Fan; Jiuyang Xu; Xiaoying Gu; Zhenshun Cheng; Ting Yu; Jiaan Xia; Yuan Wei; Wenjuan Wu; Xuelei Xie; Wen Yin; Hui Li; Min Liu; Yan Xiao; Hong Gao; Li Guo; Jungang Xie; Guangfa Wang; Rongmeng Jiang; Zhancheng Gao; Qi Jin; Jianwei Wang; Bin Cao
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

10.  Early Epidemiological and Clinical Characteristics of 28 Cases of Coronavirus Disease in South Korea.

Authors: 
Journal:  Osong Public Health Res Perspect       Date:  2020-02
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  42 in total

1.  Hypertension, diabetes mellitus, and cerebrovascular disease predispose to a more severe outcome of COVID-19.

Authors:  Kamleshun Ramphul; Petras Lohana; Yogeshwaree Ramphul; Yun Park; Stephanie Mejias; Balkiranjit Kaur Dhillon; Shaheen Sombans; Renuka Verma
Journal:  Arch Med Sci Atheroscler Dis       Date:  2021-04-12

2.  A Simplified Comorbidity Evaluation Predicting Clinical Outcomes Among Patients With Coronavirus Disease 2019.

Authors:  Jessica J Kirby; Sajid Shaikh; David P Bryant; Amy F Ho; James P d'Etienne; Chet D Schrader; Hao Wang
Journal:  J Clin Med Res       Date:  2021-04-27

3.  A systematic review and meta-analysis of regional risk factors for critical outcomes of COVID-19 during early phase of the pandemic.

Authors:  Hyung-Jun Kim; Hyeontaek Hwang; Hyunsook Hong; Jae-Joon Yim; Jinwoo Lee
Journal:  Sci Rep       Date:  2021-05-07       Impact factor: 4.379

4.  Effect of comorbid pulmonary disease on the severity of COVID-19: A systematic review and meta-analysis.

Authors:  Askin Gülsen; Inke R König; Uta Jappe; Daniel Drömann
Journal:  Respirology       Date:  2021-05-06       Impact factor: 6.424

Review 5.  Comparative Pathogenesis of Bovine and Porcine Respiratory Coronaviruses in the Animal Host Species and SARS-CoV-2 in Humans.

Authors:  Linda J Saif; Kwonil Jung
Journal:  J Clin Microbiol       Date:  2020-07-23       Impact factor: 5.948

Review 6.  SARS-CoV-2: characteristics and current advances in research.

Authors:  Yicheng Yang; Zhiqiang Xiao; Kaiyan Ye; Xiaoen He; Bo Sun; Zhiran Qin; Jianghai Yu; Jinxiu Yao; Qinghua Wu; Zhang Bao; Wei Zhao
Journal:  Virol J       Date:  2020-07-29       Impact factor: 4.099

7.  Preventing COVID-19 in assisted living facilities: An impossible task pending vaccination roll out.

Authors:  Mario Tagliabue; Anna Lisa Ridolfo; Paolo Pina; Giuseppe Rizzolo; Sonia Belbusti; Spinello Antinori; Martina Beltrami; Dario Cattaneo; Cristina Gervasoni
Journal:  Prev Med Rep       Date:  2021-06-26

Review 8.  The negative impact of obesity on the occurrence and prognosis of the 2019 novel coronavirus (COVID-19) disease: a systematic review and meta-analysis.

Authors:  Tahereh Raeisi; Hadis Mozaffari; Nazaninzahra Sepehri; Mina Darand; Bahman Razi; Nazila Garousi; Mohammad Alizadeh; Shahab Alizadeh
Journal:  Eat Weight Disord       Date:  2021-07-11       Impact factor: 3.008

9.  Body mass index and outcome in patients with COVID-19: A dose-response meta-analysis.

Authors:  R Pranata; M A Lim; E Yonas; R Vania; A A Lukito; B B Siswanto; M Meyer
Journal:  Diabetes Metab       Date:  2020-07-29       Impact factor: 6.041

Review 10.  Heart failure and COVID-19.

Authors:  Feras Bader; Yosef Manla; Bassam Atallah; Randall C Starling
Journal:  Heart Fail Rev       Date:  2021-01       Impact factor: 4.654

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