Literature DB >> 33484361

Clinical characteristics and outcomes of critically ill patients with COVID-19 in Kobe, Japan: a single-center, retrospective, observational study.

Jiro Ito1, Ryutaro Seo2, Daisuke Kawakami3, Yoshinori Matsuoka2, Kenjiro Ouchi3, Suguru Nonami3, Yusuke Miyoshi3, Masao Tatebe3, Takahiro Tsuchida3, Yoko Asaka2, Machi Yanai2, Hiroshi Ueta3, Takahiro Shimozono3, Hiroyuki Mima3, Asako Doi4, Keisuke Tomii5, Koichi Ariyoshi2.   

Abstract

PURPOSE: Coronavirus disease 2019 (COVID-19) has placed a great burden on critical care services worldwide. Data regarding critically ill COVID-19 patients and their demand of critical care services outside of initial COVID-19 epicenters are lacking. This study described clinical characteristics and outcomes of critically ill COVID-19 patients and the capacity of a COVID-19-dedicated intensive care unit (ICU) in Kobe, Japan.
METHODS: This retrospective observational study included critically ill COVID-19 patients admitted to a 14-bed COVID-19-dedicated ICU in Kobe between March 3, 2020 and June 21, 2020. Clinical and daily ICU occupancy data were obtained from electrical medical records. The last follow-up day was June 28, 2020.
RESULTS: Of 32 patients included, the median hospital follow-up period was 27 (interquartile range 19-50) days. The median age was 68 (57-76) years; 23 (72%) were men and 25 (78%) had at least one comorbidity. Nineteen (59%) patients received invasive mechanical ventilation for a median duration of 14 (8-27) days. Until all patients were discharged from the ICU on June 5, 2020, the median daily ICU occupancy was 50% (36-71%). As of June 28, 2020, six (19%) died during hospitalization. Of 26 (81%) survivors, 23 (72%) were discharged from the hospital and three (9%) remained in the hospital.
CONCLUSION: During the first months of the outbreak in Kobe, most critically ill patients were men aged ≥ 60 years with at least one comorbidity and on mechanical ventilation; the ICU capacity was not strained, and the case-fatality rate was 19%.

Entities:  

Keywords:  Bed occupancy; Coronavirus; Critical care; Mortality; Respiration, artificial; Respiratory distress syndrome, adult; Severe acute respiratory syndrome coronavirus 2

Mesh:

Year:  2021        PMID: 33484361      PMCID: PMC7823169          DOI: 10.1007/s00540-021-02897-w

Source DB:  PubMed          Journal:  J Anesth        ISSN: 0913-8668            Impact factor:   2.078


Introduction

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread globally. As of June 21, 2020, there have been 17,864 confirmed cases of COVID-19 with 953 deaths in Japan [1]. In Kobe, which is located in West Japan with a population of approximately 1.5 million, there have been 285 confirmed cases and 12 deaths [2]. Previous studies from Wuhan in China, the first COVID-19 epicenter, reported significant increases in demand for critical care services, and the case-fatality rate ranged from 39 to 62% in critically ill patients [3-5]. Outside of the epicenters, however, insufficient data on the clinical course of critically ill patients with COVID-19 and their strain on the critical care capacity exist. The objective of the present study was to describe the clinical characteristics and outcomes of critically ill patients with COVID-19 and the capacity of a COVID-19-dedicated intensive care unit (ICU) in Kobe during the first months of the city’s outbreak.

Methods

Study design

This single-center, retrospective, observational study was conducted at the Kobe City Medical Center General Hospital (KCGH), a 760-bed tertiary referral center providing emergency medical care to approximately 35,000 patients per year in Kobe. Since the first case of COVID-19 in Kobe on March 3, 2020, the city’s surge capacity strategies were implemented as follows. Critically ill patients with COVID-19 were preferentially admitted or transferred to KCGH, while non-critically ill patients with COVID-19 and non-COVID-19 patients were admitted to the surrounding hospitals in Kobe. Pre-existing medical and cardiac ICUs at KCGH were combined into the COVID-19-dedicated ICU with 14 beds and ventilators; 24/7 intensivists and intensive care nurses with a nurse:patient ratio of 1:1 were staffed by deploying them from medical, cardiac, and surgical ICUs. Non-COVID-19 patients who had been admitted to the ICUs before March 3, 2020, were scheduled for transfer to the surgical ICU or step-down wards in the hospital. Non-urgent elective surgeries were rescheduled to maintain ICU capacity for both COVID-19 and non-COVID-19 patients. A pre-existing 32-bed step-down ward was used for COVID-19 patients discharged from the ICU. COVID-19 protocols, which were based on the World Health Organization (WHO) interim guidance [6] and/or relevant evidence for management of critically ill patients, were prepared (Supplemental Material 1: p2).

Study population

This study included critically ill patients with laboratory-confirmed COVID-19 admitted to the COVID-19-dedicated ICU at KCGH between March 3, 2020 and June 21, 2020. Laboratory confirmation of COVID-19 was based on the detection of SARS-CoV-2 RNA using reverse transcriptase-polymerase chain reaction (RT-PCR) analysis of a nasopharyngeal swab specimen in accordance with the Centers for Disease Control and Prevention guidelines [6]. Data on the number of COVID-19 patients in Kobe during the study period were also obtained from the Kobe city official COVID-19 control site [2]. Our local Institutional Review Board approved the study (approval number: Zn200518) and waived the need for written informed consent. Predetermined ICU admission criteria for COVID-19 patients included (1) the need for immediate intubation, (2) mechanical ventilation, (3) deteriorating respiratory status requiring ≥ 5 L/min supplemental oxygenation to meet a peripheral capillary oxygen saturation (SpO2) of ≥ 90%, (4) shock, (5) acute organ dysfunction, or (6) need for close monitoring as judged by treating physicians. Critically ill patients were defined according to the WHO interim guidance [7], which included patients with acute respiratory distress syndrome (ARDS) [8, 9] or sepsis with acute organ dysfunction [10].

Data collection

Using electronic medical records, we reviewed data on age, sex, body-mass index (BMI), smoking history, comorbidities, onset of symptoms, do-not-intubate (DNI) orders, presenting symptoms, hospital admission route, laboratory tests, imaging tests, microbiological tests, and patient management in the ICU. Chest computed tomography (CT) images were independently reviewed by two intensivists with approximately 5 years of experience (JI and DK). Lung laterality, presence of ground glass opacity (GGO) or consolidation, distribution pattern (peripheral, multifocal, central, diffuse), and other findings were recorded. The final decisions reached by consensus are reported. We calculated the Acute Physiology and Chronic Health Evaluation II (APACHE II) scores, Sequential Organ Failure Assessment (SOFA) scores, and the partial pressure of arterial oxygen (PaO2) to the fraction of inspired oxygen (FiO2) ratios during ICU stay to assess disease severity [8, 11, 12]. We calculated daily ICU occupancy as the percentage of beds in use out of the total number of beds available for each day at midnight to assess ICU capacity [13, 14]. The clinical outcomes included ICU deaths, in-hospital deaths, dispositions of the survivors, length of ICU and hospital stays, duration of invasive mechanical ventilation, complications documented during ICU stay, and time from symptom onset to negative RT-PCR. The last follow-up day was June 28, 2020.

Statistical analysis

No statistical sample size calculation was performed a priori owing to the nature of the study. Continuous variables are presented as medians (interquartile range). Categorical variables are presented as n (%). All data were analyzed using JMP 11 (SAS Institute, Cary, NC, USA).

Results

Between March 3, 2020 and June 21, 2020, of 285 patients with laboratory-confirmed COVID-19 in Kobe, 189 (66%), including two with critical illness, were treated in other hospitals. Ninety-six (34%) patients were admitted to KCGH, of whom 32 (11%) with critical illness admitted to the ICU were included (Fig. 1). The median hospital follow-up period was 27 (19–50) days. All patients were Japanese adults with a median age of 68 (57–76) years; 23 (72%) were men (Table 1). The median BMI obtained from 23 patients was 24.8 (22.9–27.2) kg/m2. Twenty-five (78%) patients had at least one comorbidity: the most common comorbidities were hypertension (19 [59%]) and diabetes (8 [25%]). Four (13%) patients had DNI orders. The most common presenting symptoms were fever (29 [91%]), dyspnea (20 [63%]), cough (19 [59%]), fatigue (17 [53%]), and anorexia (9 [28%]). The median duration from onset of symptoms to hospital admission and ICU admission was 7 (4–9) days and 8 (5–10) days, respectively. Twelve (38%) patients were admitted through the emergency department at KCGH; 18 (56%) transferred from surrounding hospitals, and two (6%) were considered to be infected during the course of hospitalization at KCGH for acute illnesses other than COVID-19.
Fig. 1

Study flow diagram. COVID-19 coronavirus disease 2019, KCGH Kobe City Medical Center General Hospital, ICU intensive care unit. During the study period, critically ill patients with COVID-19 in Kobe were preferentially admitted or transferred to KCGH

Table 1

Demographics and presenting symptoms of study population

Study population (n = 32)
Japanese32 (100)
Age, years68 (57–76)
 30–391 (3)
 40–494 (13)
 50–595 (16)
 60–697 (22)
 70–799 (28)
 80–896 (19)
Sex
 Female9 (28)
 Male23 (72)
Body-mass index, kg/m224.8 (22.9–27.2)
 ≤ 18.41 (3)
 18.5–24.912 (38)
 25.0–29.98 (25)
 30.0–34.92 (6)
 Unknown9 (28)
Current or former smoker, no./total no. (%) a11/31 (42)
Comorbidities
 None7 (22)
 Hypertension19 (59)
 Diabetes8 (25)
 Cardiovascular disease b6 (19)
 Chronic kidney disease5 (16)
 Hemodialysis 2 (6)
 Chronic lung disease c2 (6)
 Malignancy1 (3)
 Immunodeficiency1 (3)
 Chronic liver disease0
Do-not-intubate order4 (13)
Duration from onset of symptoms to hospital admission, daysd7 (4–9)
Duration from onset of symptoms to ICU admission, daysd8 (5–10)
Symptoms
 Fevere29 (91)
 Dyspnea20 (63)
 Cough19 (59)
 Fatigue17 (53)
 Anorexia9 (28)
 Diarrhea5 (16)
 Myalgias2 (6)
 Olfactory and taste disorders2 (6)
 Arthralgia1 (3)
 Sore throat1 (3)
Hospital admission route of patients
 Admission through emergency department12 (38)
 Transferred from other hospital18 (56)
 Othersf2 (6)

Data are presented as number (%) or median (interquartile range) unless otherwise noted

COVID-19 coronavirus disease 2019, ICU intensive care unit

aData available for 31 patients

bCoronary artery disease or heart failure

cAsthma or interstitial lung disease

dData available for 27 patients

eSelf-reported history of temperature ≥ 37.5 °C or feeling feverish

fTwo patients considered to be infected during hospitalization

Study flow diagram. COVID-19 coronavirus disease 2019, KCGH Kobe City Medical Center General Hospital, ICU intensive care unit. During the study period, critically ill patients with COVID-19 in Kobe were preferentially admitted or transferred to KCGH Demographics and presenting symptoms of study population Data are presented as number (%) or median (interquartile range) unless otherwise noted COVID-19 coronavirus disease 2019, ICU intensive care unit aData available for 31 patients bCoronary artery disease or heart failure cAsthma or interstitial lung disease dData available for 27 patients eSelf-reported history of temperature ≥ 37.5 °C or feeling feverish fTwo patients considered to be infected during hospitalization All patients were admitted to the ICU because of respiratory failure and met the criteria for both ARDS and sepsis at the time of ICU admission (Table 2). The median APACHE II and SOFA scores during the first 24 h after ICU admission were 17 (13–21) and 6 (3–7), respectively. The median PaO2/FiO2 ratio on ICU admission, obtained from 31 patients, was 150 (115–172). The most common laboratory abnormalities on ICU admission were lymphocytopenia and elevated concentrations of aspartate aminotransferase and C-reactive protein. Chest CT images prior to ICU admission were obtained from 29 patients, with a median duration from symptom onset to CT scan of 6 (4–8) days. Bilateral lung involvement was observed in 28 patients (97%). GGO and consolidation were observed in 29 (100%) and 20 (69%) patients, respectively. Common distribution patterns were peripheral (25 [86%]) and multifocal (19 [66%]). None of the patients with coinfection with influenza or mycoplasma were identified. Sputum samples were obtained from 18 patients, from which microorganisms including Staphylococcus aureus (n = 6), Streptococcus pneumoniae (n = 1), Klebsiella pneumoniae (n = 1), and Enterobacter cloacae complex (n = 1) were identified in nine patients. Blood samples were obtained from all patients, with Escherichia coli identified in one patient. During the ICU stay, 13 (41%) patients received only supplemental oxygen without high-flow nasal cannula and non-invasive ventilation. One patient was treated with non-invasive ventilation prior to endotracheal intubation. Three patients were intubated at other hospitals before being transferred to KCGH; six at the emergency department, and 10 at the ICU. Thus, 19 patients (59%) received invasive mechanical ventilation, of whom 13 received neuromuscular blockade, four were placed in the prone position, and none met the predetermined criteria for the initiation of venovenous extracorporeal membrane oxygenation (Table 3). The lowest PaO2/FiO2 ratio during the first three days of invasive mechanical ventilation was 119 (106–142).
Table 2

Clinical characteristics of study population on ICU admission

CharacteristicsStudy population (n = 32)
ARDS32 (100)
Sepsis32 (100)
 Septic shock1 (3)
APACHE II score during first 24 h after ICU admission17 (13–21)
SOFA score during first 24 h after ICU admission6 (3–7)
PaO2/FiO2 ratio on ICU admissiona150 (115–172)
Lowest PaO2/FiO2 ratio during first 3 ICU daysa127 (74–159)
Laboratory tests
 White blood cell count, × 109/L6.6 (4.9–9.0)
 Lymphocyte count, × 109/Lb0.6 (0.5–0.9)
 Platelet, × 109/L170 (145–252)
 Aspartate aminotransferase, U/L52 (36–93)
 Alanine aminotransferase, U/L27 (18–40)
 Creatinine, mg/dL0.84 (0.64–1.16)
 C-reactive protein, mg/dL13.1 (8.6–18.7)
Chest CT findings, no. positive/total no. (%)c
 Ground glass opacity29/29 (100)
 Consolidation20/29 (69)
 Bilateral involvement28/29 (97)
 Peripheral distribution25/29 (86)
 Multifocal distribution19/29 (66)
 Diffuse distribution10/29 (34)
Microbiology tests, no. positive/total no. (%)
 Influenza A/B0/21
 Mycoplasma0/19
 Sputum cultured9/18 (50)
 Blood culturee1/32 (3)

Data are presented as number (%) or median (interquartile range) unless otherwise noted

ICU intensive care unit, COVID-19 coronavirus disease 2019, APACHE II Acute Physiology and Chronic Health Evaluation II, SOFA Sequential Organ Failure Assessment score, ARDS acute respiratory distress syndrome, PaO the partial pressure of arterial oxygen, FO the fraction of inspired oxygen, CT computed tomography

aData available for 31 patients

bData available for 30 patients

cChest CT images prior to ICU admission obtained from 29 patients

dMicroorganisms identified from sputum cultures included Staphylococcus aureus (n = 6), Streptococcus pneumoniae (n = 1), Klebsiella pneumoniae (n = 1), and Enterobacter cloacae complex (n = 1)

eEscherichia coli was identified

Table 3

ICU management of patients with COVID-19

Study population (n = 32)
Respiratory support
 High-flow nasal cannula oxygen therapy0/32
 Non-invasive ventilationa1/32 (3)
 Invasive mechanical ventilation19/32 (59)
  Neuromuscular blockade13/19 (68)
  Prone position4/19 (21)
  Extracorporeal membrane oxygenationb0/19
 Vasoconstrictive agents14/32 (44)
 Inotropic agents0/32
 Antihypertensive agents11/32 (34)
 Diuretics17/32 (53)
 Renal replacement therapy7/32 (22)
 Enteral nutritionc19/32 (59)
 Parenteral nutritionc1/32 (3)
 Stress ulcer prophylaxis24/32 (75)
 Venous thromboembolism prophylaxis32/32 (100)
 Therapeutic anticoagulationd9/32 (28)
  Atrial fibrillation8/9 (89)
  Renal replacement therapy6/9 (67)
  Venous thromboembolism1/9 (11)
 Other pharmacotherapies
  Empiric antibiotics30/32 (94)
  Favipiravir27/32 (84)
  Ciclesonide6/32 (19)
  Glucocorticoids6/32 (19)

Data are presented as number/total number (%) or median (interquartile range)

ICU intensive care unit, COVID-19 coronavirus disease 2019

aOne patient treated with noninvasive ventilation prior to endotracheal intubation

bThe predetermined criteria for the initiation of VV-ECMO included a ratio of partial pressure of arterial oxygen (PaO2) to the fraction of inspired oxygen (FiO2) of < 50 mm Hg for > 3 h, a PaO2/FiO2 ratio of < 80 mmHg for > 6 h, or an arterial blood pH of < 7.25 with a partial pressure of arterial carbon dioxide of > 60 mmHg for > 6 h, with a respiratory rate increase to 35 breaths per minute

cNineteen mechanically ventilated patients received enteral nutrition and one also received parenteral nutrition

dNine patients received therapeutic doses of unfractionated heparin intravenously for at least one indication, including atrial fibrillation, renal replacement therapy, and venous thrombosis

Clinical characteristics of study population on ICU admission Data are presented as number (%) or median (interquartile range) unless otherwise noted ICU intensive care unit, COVID-19 coronavirus disease 2019, APACHE II Acute Physiology and Chronic Health Evaluation II, SOFA Sequential Organ Failure Assessment score, ARDS acute respiratory distress syndrome, PaO the partial pressure of arterial oxygen, FO the fraction of inspired oxygen, CT computed tomography aData available for 31 patients bData available for 30 patients cChest CT images prior to ICU admission obtained from 29 patients dMicroorganisms identified from sputum cultures included Staphylococcus aureus (n = 6), Streptococcus pneumoniae (n = 1), Klebsiella pneumoniae (n = 1), and Enterobacter cloacae complex (n = 1) eEscherichia coli was identified ICU management of patients with COVID-19 Data are presented as number/total number (%) or median (interquartile range) ICU intensive care unit, COVID-19 coronavirus disease 2019 aOne patient treated with noninvasive ventilation prior to endotracheal intubation bThe predetermined criteria for the initiation of VV-ECMO included a ratio of partial pressure of arterial oxygen (PaO2) to the fraction of inspired oxygen (FiO2) of < 50 mm Hg for > 3 h, a PaO2/FiO2 ratio of < 80 mmHg for > 6 h, or an arterial blood pH of < 7.25 with a partial pressure of arterial carbon dioxide of > 60 mmHg for > 6 h, with a respiratory rate increase to 35 breaths per minute cNineteen mechanically ventilated patients received enteral nutrition and one also received parenteral nutrition dNine patients received therapeutic doses of unfractionated heparin intravenously for at least one indication, including atrial fibrillation, renal replacement therapy, and venous thrombosis Fourteen (44%) patients presented with hypotension requiring vasoconstrictive agents for ≥ 6 h and 11 (34%) hypertensive patients were treated with antihypertensive agents. Seventeen (53%) patients were treated with diuretics and seven (22%) with renal replacement therapy. All 19 mechanically ventilated patients received enteral nutrition and one also received parenteral nutrition; the remaining 13 non-intubated patients received only oral nutrition. Prophylaxis for stress ulcers and venous thromboembolism was administered in 24 (75%) and 32 (100%) patients, respectively. Nine (28%) patients also received therapeutic anticoagulation with intravenous unfractionated heparin for at least one of the following indications: atrial fibrillation (n = 8), renal replacement therapy (n = 6), or venous thromboembolism (n = 1). Regarding pharmacotherapies, 30 (94%) patients received empiric antibiotics; 27 (84%), compassionate-use favipiravir; six (19%), ciclesonide, and six (19%), systemic glucocorticoids. Other antiviral agents or immunosuppressive agents were not used. Until all patients included in the study were discharged from the ICU on June 5, 2020, the median daily ICU occupancy was 50% (36–71%) (Supplemental Material 1: Fig. S1). As of June 28, 2020, six (19%) patients died in the hospital with a median duration from ICU admission of 14 (6–23) days; five (16%) including two with DNI orders died in the ICU and one (3%) with a DNI order died in the stepdown ward after ICU discharge (Table 4). Of the 19 mechanically ventilated patients, three (16%) died in the ICU. The causes of death were cardiac failure (n = 3), respiratory failure (n = 2), and septic shock (n = 1). The detailed characteristics and clinical course of the six deceased patients are presented in Table S1 (Supplemental Material 1). Of 26 surviving patients, 23 discharged from the hospital and three had been discharged from the ICU but remained in the hospital. The median length of ICU and hospital stay was 10 (4–19) days and 31 (24–55) days, respectively. The median duration of mechanical ventilation was 14 (8–27) days. Tracheostomy was performed in two patients who were free from mechanical ventilation at ICU discharge. The most common complications during ICU stay were hospital-acquired infections (15 [47%]), acute hepatic injury (14 [44%]), impaired consciousness (14 [44%]), and acute kidney injury (13 out of 30 patients without chronic hemodialysis [43%]) (Supplemental Material 1: Table S2). The patients diagnosed with hospital-acquired infections included 10 with ventilator-associated pneumonia, two with Clostridioides difficile infections, one with a blood stream infection, and seven treated with broad-spectrum antibiotics for suspected sepsis or septic shock. For 25 of 26 survivors, the SARS-CoV-2 RT-PCR test was performed twice with a 24-h interval at 4 weeks after symptom onset according to our institutional protocol. Thirteen patients (52%) had negative results on the first set of tests, while the remaining 12 patients required a median of 38 (IQR 32–43) days from symptom onset to achieve two consecutive negative RT-PCR results.
Table 4

Clinical outcomes of patients with COVID-19 admitted to ICU

Study population (n = 32)
ICU deaths5/32 (16)
In-hospital deathsa6/32 (19)
Still in ICU0/32
Discharged from ICU but still in hospital3/32 (9)
Discharged from hospital23/32 (72)
Duration of ICU stay, days10 (4–19)
 Survivors9 (4–16)
 Non-survivors14 (6–23)
Duration of hospital stay, days31 (24–55)
 Survivors31 (26–65)
 Non-survivors28 (8–46)
Duration of invasive mechanical ventilation, days14 (8–27)
 Survivors12 (7–27)
 Non-survivors25 (20–36)
Tracheostomy2/19 (11)

Data are presented as number/total number (%) or median (interquartile range). The last follow-up day was June 28, 2020

COVID-19 coronavirus disease 2019, ICU intensive care unit

aThree mechanically ventilated patients and three with do-not intubate orders

Clinical outcomes of patients with COVID-19 admitted to ICU Data are presented as number/total number (%) or median (interquartile range). The last follow-up day was June 28, 2020 COVID-19 coronavirus disease 2019, ICU intensive care unit aThree mechanically ventilated patients and three with do-not intubate orders

Discussion

In this study, we have described the clinical characteristics and outcomes of 32 critically ill patients with COVID-19 and the ICU occupancy in Kobe during the first months of the city’s outbreak. Most patients were men aged ≥ 60 years having normal weight and at least one comorbidity and required invasive mechanical ventilation. The median ICU occupancy was 50% and the case-fatality rate was as low as 19%. The strength of this study is that we included almost all critically ill patients with COVID-19 admitted to ICUs in the city with a population of 1.5 million and followed all patients at least until ICU discharge. The detailed information about the study population and the ICU capacity during the outbreak will enable policy-makers outside the COVID-19 epicenters to determine the potential need for increasing ICU capacity to prepare for a future influx of critically ill patients with COVID-19. The demographic data of our cohort were generally consistent with those of the critically ill population in China [3–5, 15], the United States [16-19], Italy [20], and Canada [21], with the exception of patient ethnicity and BMI. The median BMI obtained in our cohort was lower than that available in data from the United States (30–33 kg/m2) [17-19] and Canada (28 kg/m2) [21]. The measures of disease severity of our cohort regarding APACHE II scores, SOFA scores, and PaO2/FiO2 ratios on ICU admission were also comparable to those in the aforementioned cohorts; the median APACHE II score available from three studies was 12.5–18 [3, 16, 21]; the median SOFA score from six studies was 4–11 [3, 4, 15, 18, 19, 21] and the median PaO2/FiO2 on ICU admission from seven studies was 129–183 [15-21]. Although the patient management noted in the study was mainly usual critical care, COVID-19-specific pharmacotherapies, including favipiravir and ciclesonide, which were not used in the aforementioned studies [3–5, 15–21], were also administered as part of a registry study in Japan [22]. The case-fatality rate of critically ill patients with COVID-19 admitted to ICUs in our cohort was lower than that in the initial epicenters of COVID-19, including mainland China, the United States, and Italy (26–67%) [3–5, 16–20]. Given that the baseline characteristics including age, the prevalence of comorbidities, and disease severity which are risk factors associated with death in critically ill patients with COVID-19 [3, 5, 20], are similar, it is reasonable to explore other factors affecting the case-fatality rate. Recently, two large cohort studies of in-hospital patients with COVID-19 in New York City [23] and the United Kingdom [24] reported that obesity was associated with critical illness and mortality. However, another study focusing on critically ill patients with COVID-19 in New York City did not observe any association between obesity and mortality [18]. In addition, the risk factors for critical illness and death should be considered separately, as a paradoxical association referred to as the obesity paradox has been reported between obesity and increased survival in patients with critical illness without COVID-19 [25, 26]. Thus, the effect of BMI on mortality in critically ill patients with COVID-19 is controversial and requires further investigation. To date, preliminary data are limited regarding the efficacy of the antiviral agents used in this study, favipiravir and ciclesonide, while their effect on mortality in critically ill patients with COVID-19 remains investigational [22, 27, 28]. Strain on ICU capacity is another potential factor affecting the mortality of critically ill patients with COVID-19, as shown in a previous study in the United States including patients with various diseases in 155 ICUs [14]. In the initial epicenters, despite their efforts to expand ICU capacity, a sharp surge in number of patients with COVID-19 in the short term caused a shortage of ICU beds, ventilators, and staff to care for critically ill patients [3, 29, 30]. In this study, the median daily ICU occupancy was as low as 50%, which is explained by the low incidence of critically ill patients in Kobe and the city’s surge strategies in advance, that included increasing the ICU beds with ventilators and well-trained ICU staff, and collaboration between neighboring hospitals. Outside the epicenters, studies from Hong Kong [15] and Vancouver [21] also reported retained adequate ICU capacity to care for critically ill patients with COVID-19 and their case-fatality rate of 12% and 15%, respectively. The impact of regional ICU capacity on mortality of COVID-19 patients should be assessed using a nationwide study adjusting for other predisposing factors for mortality. This study has several limitations. First, owing to the retrospective study design, we could not obtain complete data on baseline characteristics, laboratory abnormalities, and complications. Second, because of our focus on critically ill patients and the urgent timeline, our sample size was small. Finally, because of the short follow-up period, the case-fatality rate was likely to be underestimated and data on long-term outcomes are lacking.

Conclusion

Among the 32 critically ill patients with laboratory-confirmed COVID-19 admitted to the ICU, the majority were men aged ≥ 60 years having normal weight and at least one comorbidity and required invasive mechanical ventilation. During the first months of the outbreak, the ICU capacity was not strained, and the case-fatality rate was 19%. Below is the link to the electronic supplementary material. Supplementary file1 (DOCX 105 KB)
  25 in total

1.  Mortality among patients admitted to strained intensive care units.

Authors:  Nicole B Gabler; Sarah J Ratcliffe; Jason Wagner; David A Asch; Gordon D Rubenfeld; Derek C Angus; Scott D Halpern
Journal:  Am J Respir Crit Care Med       Date:  2013-10-01       Impact factor: 21.405

2.  Objective factors associated with physicians' and nurses' perceptions of intensive care unit capacity strain.

Authors:  Meeta Prasad Kerlin; Michael O Harhay; Kelly C Vranas; Elizabeth Cooney; Sarah J Ratcliffe; Scott D Halpern
Journal:  Ann Am Thorac Soc       Date:  2014-02

3.  Characteristics and Outcomes of 21 Critically Ill Patients With COVID-19 in Washington State.

Authors:  Matt Arentz; Eric Yim; Lindy Klaff; Sharukh Lokhandwala; Francis X Riedo; Maria Chong; Melissa Lee
Journal:  JAMA       Date:  2020-04-28       Impact factor: 56.272

4.  Baseline Characteristics and Outcomes of 1591 Patients Infected With SARS-CoV-2 Admitted to ICUs of the Lombardy Region, Italy.

Authors:  Giacomo Grasselli; Alberto Zangrillo; Alberto Zanella; Massimo Antonelli; Luca Cabrini; Antonio Castelli; Danilo Cereda; Antonio Coluccello; Giuseppe Foti; Roberto Fumagalli; Giorgio Iotti; Nicola Latronico; Luca Lorini; Stefano Merler; Giuseppe Natalini; Alessandra Piatti; Marco Vito Ranieri; Anna Mara Scandroglio; Enrico Storti; Maurizio Cecconi; Antonio Pesenti
Journal:  JAMA       Date:  2020-04-28       Impact factor: 56.272

5.  Critically ill patients with COVID-19 in Hong Kong: a multicentre retrospective observational cohort study

Authors:  Lowell Ling; Christina So; Hoi Ping Shum; Paul K S Chan; Christopher K C Lai; Darshana H Kandamby; Eunise Ho; Dominic So; Wing Wa Yan; Grace Lui; Wai Shing Leung; Man Chun Chan; Charles D Gomersall
Journal:  Crit Care Resusc       Date:  2020-04-06       Impact factor: 2.159

Review 6.  The impact of obesity on outcomes after critical illness: a meta-analysis.

Authors:  Charles W Hogue; Joshua D Stearns; Elizabeth Colantuoni; Karen A Robinson; Tracey Stierer; Nanhi Mitter; Peter J Pronovost; Dale M Needham
Journal:  Intensive Care Med       Date:  2009-02-03       Impact factor: 17.440

7.  Therapeutic potential of ciclesonide inahalation for COVID-19 pneumonia: Report of three cases.

Authors:  Keisuke Iwabuchi; Koichiro Yoshie; Yuichi Kurakami; Kota Takahashi; Yoshio Kato; Tsuneo Morishima
Journal:  J Infect Chemother       Date:  2020-04-16       Impact factor: 2.211

8.  Experimental Treatment with Favipiravir for COVID-19: An Open-Label Control Study.

Authors:  Qingxian Cai; Minghui Yang; Dongjing Liu; Jun Chen; Dan Shu; Junxia Xia; Xuejiao Liao; Yuanbo Gu; Qiue Cai; Yang Yang; Chenguang Shen; Xiaohe Li; Ling Peng; Deliang Huang; Jing Zhang; Shurong Zhang; Fuxiang Wang; Jiaye Liu; Li Chen; Shuyan Chen; Zhaoqin Wang; Zheng Zhang; Ruiyuan Cao; Wu Zhong; Yingxia Liu; Lei Liu
Journal:  Engineering (Beijing)       Date:  2020-03-18       Impact factor: 7.553

9.  Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study.

Authors:  Christopher M Petrilli; Simon A Jones; Jie Yang; Harish Rajagopalan; Luke O'Donnell; Yelena Chernyak; Katie A Tobin; Robert J Cerfolio; Fritz Francois; Leora I Horwitz
Journal:  BMJ       Date:  2020-05-22

10.  Patients with COVID-19 in 19 ICUs in Wuhan, China: a cross-sectional study.

Authors:  Yuan Yu; Dan Xu; Shouzhi Fu; Jun Zhang; Xiaobo Yang; Liang Xu; Jiqian Xu; Yongran Wu; Chaolin Huang; Yaqi Ouyang; Luyu Yang; Minghao Fang; Hongwen Xiao; Jing Ma; Wei Zhu; Song Hu; Quan Hu; Daoyin Ding; Ming Hu; Guochao Zhu; Weijiang Xu; Jun Guo; Jinglong Xu; Haitao Yuan; Bin Zhang; Zhui Yu; Dechang Chen; Shiying Yuan; You Shang
Journal:  Crit Care       Date:  2020-05-14       Impact factor: 9.097

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  4 in total

1.  Patient-centered outcomes at hospital discharge in mechanically ventilated COVID-19 patients in Kobe, Japan: A single-center retrospective cohort study.

Authors:  Jiro Ito; Daisuke Kawakami; Ryutaro Seo; Kentaro Iwata; Kenjiro Ouchi; Suguru Nonami; Yusuke Miyoshi; Masao Tatebe; Takahiro Tsuchida; Yoko Asaka; Chikashi Takeda; Hiromasa Nishihara; Hiroyuki Mima; Asako Doi; Keisuke Tomii; Koichi Ariyoshi
Journal:  Respir Investig       Date:  2022-07-11

2.  A Simulation-Based Cost-Effectiveness Analysis of Severe Acute Respiratory Syndrome Coronavirus 2 Infection Prevention Strategies for Visitors of Healthcare Institutions.

Authors:  Christina C Bartenschlager; Selin Temizel; Alanna Ebigbo; Vivian Gruenherz; Petra Gastmeier; Helmut Messmann; Jens O Brunner; Christoph Römmele
Journal:  Value Health       Date:  2022-06-01       Impact factor: 5.101

3.  Treatment and outcome of COVID-19 patients in a specialized hospital during the third wave: advance of age and increased mortality compared with the first/second waves.

Authors:  Yutaka Oda; Motoko Shimada; Satoshi Shiraishi; Osamu Kurai
Journal:  JA Clin Rep       Date:  2021-12-14

4.  A multicenter study to investigate the positive rate of SARS-CoV-2 in middle ear and mastoid specimens from otologic surgery patients.

Authors:  Hiroshi Yamazaki; Norio Yamamoto; Toru Sonoyama; Hayato Maruoka; Seiko Nasu; Akiko Makino; Keizo Tomonaga; Norifumi Shigemoto; Hiroki Ohge; Keizo Fujiwara; Shogo Shinohara; Sachio Takeno; Koichi Omori; Yasushi Naito
Journal:  Auris Nasus Larynx       Date:  2022-07-29       Impact factor: 2.119

  4 in total

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