Peripheral oxygen saturation to inspiratory oxygen fraction ratio-based identification of critically ill coronavirus disease patients for early therapeutic interventions.

BACKGROUND: Early identification of critically ill coronavirus disease (COVID-19) patients in clinical settings is crucial in reducing the mortality rate. Therefore, this study aimed to determine whether the saturation of peripheral oxygen (SpO2) to fraction of inspiratory oxygen (FiO2) ratio (SF ratio) at admission is useful for the early identification of severe COVID-19.
METHODS: This single-center, retrospective, observational study conducted at the University Hospital, Kyoto, Japan, included 26 patients diagnosed with COVID-19 between January 24 and May 6, 2020. COVID-19 severity was classified into two groups based on the SF ratio: ≤ 235 (moderate to severe disease: low group) and  > 235 (normal to mild disease: high group). The characteristics, laboratory data, and outcomes of the patients were examined retrospectively and compared between the groups.
RESULTS: Of the 26 patients [median age 51.5 years, interquartile range 35.8-67.0], 6 were in the low group (23%) and 20 in the high group (77%). The low group had a higher respiratory rate than the high group (p < 0.05). Blood tests immediately after admission showed that the low group had significantly lower albumin (p < 0.01), and higher lactate dehydrogenase (p < 0.01), C-reactive protein (p < 0.01), and D-dimer (p < 0.01) levels than the high group. Moreover, all patients received antiviral agents; four received continuous renal replacement therapy and invasive positive pressure ventilation, one received extracorporeal membrane oxygenation, and two died in the low group.
CONCLUSION: SF ratio measurement at admission could assist clinicians in the early identification of severe COVID-19, which in turn can lead to early therapeutic interventions.

Introduction

Coronavirus disease (COVID-19) is highly infectious, with a high mortality rate among severe cases. As of May 8, 2020, 3.75 million people worldwide have had the disease, and  > 2,50,000 have died [1]. COVID-19 presents as a mild-to-moderate upper respiratory tract infection for the first seven days in most cases (80%), and approximately 20% of patients who recover from an infection require hospitalization for dyspnea, usually on days 6–8 [2].

By severity, 81% are mild to moderate (no pneumonia or mild pneumonia), 14% severe [severe dyspnea,  ≥ 30 breaths/min,  ≤ 93% saturation of peripheral oxygen (SpO2), partial pressure of oxygen (PaO2)/fraction of inspiratory oxygen (FiO2)  < 300, and/or  > 50% pulmonary infiltration within 24–48 h], and 5% critical (respiratory failure, septic shock, multi-organ failure) [3].

The early identification of critically ill patients in the clinical setting is crucial because the mortality rate increases when patients with severe disease are not admitted immediately to the intensive care unit (ICU) [4, 5]. Early identification of high risk and severe COVID-19 patients leads to early treatment using intensive care by emergency doctors and, therefore important for reducing mortality [6]. Currently, blood tests and radiographic images are used for the early identification of patients with severe COVID-19 [7, 8]. However, determining the severity of the infection is sometimes difficult as examinations are limited by fear of infection among health workers. Thus, a useful index for easy identification of critically ill patients by the medical staff is needed.

We focused on pulse oximetry, an easy and non-invasive tool for identifying critically ill patients. Blood oxygen saturation measurement by pulse oximetry is simple and non-invasive and is the standard monitoring method in general wards and ICUs. Previous studies have shown that the ratio of SpO2 to FiO2 (SF ratio) is highly correlated with the PaO2/FiO2 ratio (PF ratio), which is used in the classification of acute respiratory distress syndrome (ARDS) severity [9]. Additionally, the clinical characteristics and outcomes (in-hospital mortality and duration of mechanical ventilation) in patients with ARDS diagnosed by SF ratio showed no difference when compared with patients diagnosed by PF ratio [10]. We hypothesized that the SF ratio could be used in the early identification of patients with severe COVID-19. No reports on the use of SpO2 from pulse oximetry for the early recognition of severe COVID-19 exist. Thus, in this study, we aimed to determine whether the SF ratio at admission is useful in the early identification of patients with severe disease. We measured the SF ratio at hospital admission and compared the patient characteristics, blood test values, radiographic images, symptoms at admission, vital signs, treatments after admission, and outcomes between patients with low SF and high SF ratio.

Methods

Study design

This was a single-center, retrospective, observational study conducted at the University Hospital, Kyoto, Japan, which is a designated infectious disease hospital that treats patients with COVID-19.

Study setting and population

The subjects were patients diagnosed with COVID-19 between January 24 and May 6, 2020, based on the provisional guidelines from the World Health Organization. For the diagnosis of a COVID-19 infection, RNA was extracted from the nasopharyngeal swab of patients, and the SARS-CoV-2 gene was identified using a nucleic acid amplification test [11].

Study protocol

In this study, the severity classification of COVID-19 was based on a previously reported severity classification for ARDS [9].

Measurements

At hospital admission, SF ratio  < 144 was considered severe, 144–235, moderatem, 235–315, mild, and  ≥ 315, normal. Oxygen therapy was not provided to patients with SpO2 ≥ 97%. The patients were divided into two groups: high group (normal to mild disease) and low group (moderate to severe disease).

The FiO2 values during oxygen therapy with a nasal cannula were as follows: 0.24 for 1 L, 0.28 for 2 L, 0.32 for 3 L, 0.36 for 5 L, and 0.4 for 5 L. With a simple oxygen mask, the values were 0.45 for 5 L, 0.5 for 6 L, 0.55 for 7 L, and 0.6 for 8 L. With an oxygen reservoir bag, the values were 0.6 for 6 L, 0.7 for 7 L, and 0.8 for  ≥ 8 L. The relationship between patient FiO2 and SpO2 was plotted (Fig. 1).

Fig. 1

Scatter plot correlation between respiratory rate and SF ratio indicates a negative correlation. Black square: the low group. White square: the high group

For all patients, data on age, sex, body mass index, sources of infection, time from symptom onset to hospitalization, medical history (hypertension, dyslipidemia, diabetes, chronic cardiac disease, chronic kidney disease, respiratory system disease, nervous system disease, liver disease, malignancy, obesity), smoking history, clinical symptoms, blood test results, chest radiographs, post-hospitalization complications, treatment methods, and outcomes were obtained from electronic medical records and nursing records. The primary outcome measure was mortality, and the secondary outcome measure was the complication incidence between admission and May 11, 2020 at the time of statistical analysis. The nine patients were still in the hospital when the data collection was completed on May 11, 2020 because they needed treatment and were undergoing isolation for COVID-19. This study was approved by the ethics committee of the University Hospital of the designated medical institutions for class I infectious diseases in Kyoto Prefecture, and written informed consent was waived because of the retrospective design of the study. No subjects refused to participate in the study.

Data analysis

Continuous variables were expressed as median (interquartile range, IQR) values and compared using the Mann–Whitney U test. Categorical variables were presented as numbers (%), and Fisher’s exact test was used to examine the differences between the low and high groups. Spearman’s rank correlation coefficient was used to assess the significance of the correlation. The tests were two-tailed, with the significance set at α < 0.05. EZR software version 1.41 (Saitama Medical Center, Jichi Medical University, Saitama, Japan) was used for all the analyses.

Results

As of May 8, 2020, 27 patients with confirmed COVID-19 infection had been admitted to the University Hospital of the Kyoto Prefectural University of Medicine. One patient who was intubated and had a severe condition at admission was excluded.

The median age of the patients was 51.5 years (IQR 35.8–67.0), and 14 (54%) were men. Of the 26 patients, six were in the low group, and five were men. The median SF ratio of the low group was 171 (IQR 123.7–226.1). No major differences in comorbidities were found between the low and high groups (p > 0.05, Table 1, Fig. 2). The median time from symptom onset to hospitalization was 6.0 days (IQR 4.3–8.0), a slight difference between the low and high groups was observed (p = 0.27).

Table 1

Demographics and characteristics of patients diagnosed with COVID-19 at the University Hospital of the Kyoto Prefectural University of Medicine, 4 March–8 May, 2020

	All patients (n = 26)	Low group (n = 6)	High group (n = 20)	p value
SpO2/FiO2	457.1 [326.8–465.5]	171.0 [123.7–226.1]	461.9 [455.9–471.4]	< 0.01
Age, years	51.5 [35.8–67.0]	64.5 [54.3–70.3]	47.5 [34.0–60.3]	0.17
Sex, male	14 (54%)	5 (83%)	9 (45%)	0.17
BMI	22.7 [20.7–24.8]	23.5 [21.3–24.4]	22.4 [20.5–25.1]	0.929
Number of unknown sources of infection	9 (35%)	4 (67%)	5 (25%)	0.138
Hospitalization from onset	6.0 [4.3–8.0]	7.5 [5.3–9.8]	6.0 [4.0–7.3]	0.27
Comorbidity
Hypertension	8 (31%)	2 (33%)	6 (30%)	1
Dyslipidemia	7 (27%)	2 (33%)	5 (25%)	1
Diabetes	7 (27%)	3 (50%)	4 (20%)	0.293
Chronic cardiac disease	0	–	–
Chronic kidney disease	0	–	–
Respiratory system disease	6 (23%)	2 (33%)	4 (20%)	0.596
Nervous system disease	5 (19%)	1 (17%)	4 (20%)	1
Liver disease	3 (12%)	1 (17%)	2 (10%)	1
Malignancy	0	–	–
HIV/AIDS	0	–	–
Obesity (BMI  > 30 kg/m2)	2 (8%)	1 (17%)	1 (5%)	0.415
Smoking history	8 (31%)	2 (33%)	6 (30%)	1
Symptoms and sign on admission day
Fever (> 37.5 ℃)	17 (65%)	6 (100%)	11 (55%)	0.0634
Cough	16 (62%)	5 (83%)	11 (55%)	0.352
Sputum production	7 (27%)	1 (17%)	6 (30%)	1
Sore throat	2 (8%)	0	2 (10%)	1
Fatigue	8 (31%)	4 (67%)	4 (20%)	0.051
Shortness of breath	5 (19%)	2 (33%)	3 (15%)	0.558
Dyspnea	11 (42%)	4 (67%)	7 (35%)	0.348
Systolic pressure, mmHg	119 [113–134]	123 [117–151]	119 [112–134]	0.394
Diastolic pressure, mmHg	73 [65–84]	71 [68–95]	76 [65–83]	0.831
Heart rate (per min)	95 [84–100]	89 [83–99]	95 [88–101]	0.465
Respiratory rate (per min)	22 [18–26]	28 [23–30]	20.5 [17.5–24]	0.0172
	All patients (n = 26)	Low group (n = 6)	High group (n = 20)	p value
Chest X-ray findings on admission to the hospital
No pneumonia	9 (35%)	0	9 (45%)	0.0278
Unilateral pneumonia	4 (15%)	0	4 (20%)
Bilateral pneumonia	13 (50%)	6 (100%)	7 (35%)
Chest CT findings on admission to the hospital
No pneumonia	2 (8%)	0	2 (10%)	0.731
Unilateral pneumonia	4 (15%)	0	4 (20%)
Bilateral pneumonia	20 (77%)	6 (100%)	14 (70%)

Data presented as median [IQR], n (%)

SpO saturation of peripheral oxygen, FiO fraction of inspiratory oxygen, BMI body mass index, HIV human immunodeficiency virus, AIDS acquired immunodeficiency syndrome, CT computed tomography

Fig. 2

Comparative bar charts of SpO2/FiO2 between the low group and the high group. L the low group. H: the high group

The comorbidities included hypertension (8/26, 31%), dyslipidemia (7/26, 27%), and diabetes (7/26, 27%), no major differences were noted between the low and high groups (p > 0.05). The most common symptoms at admission were fever (17/26, 65%) and cough (16/26, 62%). Other symptoms included shortness of breath, sputum production, fatigue, and dyspnea. No major differences in symptoms were found between the low and high groups (p > 0.05). While all patients in the low group had a fever, no statistically significant difference was observed between the groups (p = 0.06).

For vital signs, the median respiratory rate was 22 breaths/min (IQR 18–26) and was significantly higher in the low group [28 breaths/min, (IQR 23–30)] than in the high group [20.5 breaths/min, (17.5–24)] (p = 0.017). There was a slight, but not significant negative correlation between respiratory rate and SF ratio (− 0.45, p = 0.13) (Fig. 3). Moreover, at admission, bilateral pneumonia was observed in chest radiographs in 13 patients (50%) and in chest computed tomography (CT) images in 20 patients (77%). All patients in the low group exhibited bilateral pneumonia in both chest radiographs and CT images (Table 2, Fig. 4).

Fig. 3

Scatter plot correlation between respiratory rate and SF ratio indicates a negative correlation. Black square: the low group. White: the high group

Table 2

Laboratory findings of patients diagnosed with COVID-19 on hospital admission

Laboratory values on hospital admission	All patients (n = 26)	Low group (n = 6)	High group (n = 20)	p value
Blood leukocyte count (10×9/L)	4.4 [3.8–5.7]	7.1 [4.6–9.0]	4.1 [3.8–5.6]	0.0409
Neutrophil (10×9/L)	3.3 [2.3–4.3]	5.8 [3.7–7.9]	2.5 [2.3–3.5]	0.0081
Lymphocyte count (10×9/L)	0.9 [0.7–1.4]	0.7 [0.5–0.7]	1.0 [0.8–1.4]	0.055
Platelet count (10×9/L)	190 [155–244]	190 [151–243]	190 [156–228]	0.976
C-reactive protein (mg/L)	3.15 [0.54–6.22]	15.15 [8.3–21.5]	1.71 [0.5–4.7]	0.000909
Lactate dehydrogenase (U/L)	237 [195–379]	483 [436–527]	217 [184–254]	0.000104
BUN (mg/dL)	11.8 [9.9–15.8]	11.7 [9.6–17.3]	11.8 [10.0–15.3]	0.976
Creatinine (mg/dL)	0.79 [0.62–0.97]	0.89 [0.68–0.93]	0.72 [0.63–0.97]	0.855
Aspartate aminotransferase (U/L)	29.5 [25.3–45.8]	65.0 [43.5–73.8]	27.5 [25.0–32.0]	0.00231
Alanine aminotransferase (U/L)	24.5 [17.0–40.5]	41.5 [39.5–51.8]	20.5 [16.0–37.3]	0.0115
Albumin (g/L)	37 [34–42]	28 [25–30]	38 [36–43]	0.000447
Ferritin (ng/mL)	274 [147–719]	1253 [1153–1421]	199 [120–308]	1.98E-05
d-Dimer (μg/mL)*	0.70 [0.49–1.13]	1.3 [0.90–1.40]	0.6 [0.49–0.95]	0.00849

Data presented as median [IQR]

BUN blood urea nitrogen

*Date available for 24 patients

Fig. 4

The rate of chest X-ray findings on admission. Bar graph for comparison of chest X-ray pneumonia on admission to the hospital between groups. Black square: bilateral pneumonia. Gray square: unilateral pneumonia. White square: no pneumonia

At admission, compared with the high group, the low group exhibited higher leukocyte [7.1 × 109/L (4.6–9.0) vs. 4.1 × 109/L (3.8–5.6), p = 0.0409] and neutrophil [5.8 × 109/L (3.7–7.9) vs. 2.5 × 109/L (2.3–3.5), p = 0.008] counts, higher C-reactive protein [CRP 15.15 mg/L (8.3–21.5) vs. 1.71 (0.5–4.7), p < 0.001], lactate dehydrogenase [LDH 483 U/L (436–527) vs. 1217 (184–254), p < 0.001], aspartate transaminase [AST 65.0 U/L (43.5–73.8) vs. 27.5 (25.0–32.0), p = 0.002], alanine transaminase [ALT 41.5 U/L (39.5–51.8) vs. 20.5 (16.0–37.3), p < 0.001], ferritin [1253 ng/mL (1153–1421) vs. 199 (120–308), p < 0.001] and d-dimer [1.3 μg/mL (0.90–1.40) vs. 0.6 (0.49–0.95), p = 0.008] levels, (Fig. 5), and lower albumin [Alb 28 g/L (25–30) vs. 38 (36–43), p = 0.0084] level (Table 2).

Fig. 5

Comparative bar charts of blood test results between the low group and the high group. CRP C-reactive protein, LDH lactate dehydrogenase, AST aspartate transaminase, ALT alanine transaminase

Treatment after admission included antiviral agents (lopinavir/ritonavir, favipiravir) in 17 patients (65%). In addition, 13 (50%) patients received empirical antimicrobial therapy. Four patients (15%) needed continuous renal replacement therapy and invasive positive pressure ventilation, of which one was placed on extracorporeal membrane oxygenation. These patients were all in the low group (Table 3). The median SF ratio immediately before the patients required invasive positive pressure ventilation was 115 (IQR 109–113).

Table 3

Treatments, complications, and outcomes of patients diagnosed with COVID-19

Treatments	All patients (n = 26)	Low group (n = 6)	High group (n = 20)	p value
Invasive mechanical ventilation	4 (15%)	4 (68%)	0	0.001
Antiviral treatment	17 (65%)	6 (100%)	11 (55%)	0.0634
Inhaled steroid	7 (27%)	4 (67%)	3 (15%)	0.0278
Antimalarial drug	5 (19%)	5 (83%)	0	9.12E-05
Antibiotic treatment	13 (50%)	5 (83%)	8 (40%)	0.16
Continuous renal replacement therapy	4 (15%)	4 (67%)	0	0.001
Extracorporeal membrane oxygenation	1 (4%)	1 (17%)	0	–
Complications
ARDS	4 (15%)	4 (68%)	0	1.00E-03
Acute renal injury	4 (15%)	4 (68%)	0	0.00465
Acute cardiac injury	1 (4%)	1 (17%)	0	–
Liver dysfunction	19 (73%)	6 (100%)	13 (65%)	0.146
Secondary infection	3 (12%)	3 (50%)	0	0.00769
Septic shock	3 (12%)	3 (50%)	0	0.00769
Clinical outcomes
Hospitalization	9 (34%)	3 (50%)	6 (30%)	0.628
Discharge	15 (58%)	1 (17%)	14 (70%)	0.0538
Death	2 (8%)	2 (33%)	0	0.0462

Data presented as n (%)

ARDS acute respiratory distress syndrome

In the low group, complications during hospitalization included ARDS (4 patients, 15%), acute kidney injury (4, 15%), secondary infection (3, 12%), septic shock (3, 12%), and myocardiopathy and arrhythmia (1, 4%), these complications were not observed in the high group. Nineteen patients (73%) had liver damage 6/6 (100%) in the low group, whereas 13/20 (65%) in the high group), no statistically significant difference was found between the two groups (p = 0.146). As of May 11, 2020, 15 of the 26 patients had been discharged from the hospital; two patients from the high group had died.

Currently, a treatment that directly targets the new coronavirus has not been established. Thus, symptomatic treatment, such as oxygen therapy and antipyretic drug administration, has been implemented, and it appears that virus destruction depends on the patient’s immunity. However, in severe cases, symptomatic treatment only is insufficient; thus, antiviral drugs have been used to help reduce disease severity.

Discussion

In this study, we performed clinical observations to determine whether the SF ratio at admission could be used to identify disease severity in patients with COVID-19. We found that patients with moderate to high SF ratios at admission had more abnormal blood test values and more complications after hospitalization. Thus, SF ratio measurement at admission may be highly beneficial as it provides an early assessment of the severity of COVID-19 and helps identify treatment strategies. Patients with COVID-19 mainly have respiratory symptoms. Hence, using pulse oximetry, which is used to frequently measure blood oxygen saturation, we could detect changes in disease severity.

In several other studies, 15.7–31% of patients had severe disease. [7, 12, 13]. In our study, 23% of the patients were in the low group (severe cases) at admission, and the overall median age and prevalence rate were similar to those in the reports from China [14, 15]. The proportion of patients with hypertension, which is the most common comorbidity, was 31%, which is similar to that in a previous report. No significant difference in hypertension rates between the two groups in our study was found. In contrast, the number of patients with hypertension was significantly higher in the severe disease group than in the non-severe disease group in a previous study [16]. Hypertension, obesity, diabetes mellitus, and heart disease were regarded as important underlying diseases, and patients who were prone to severe disease were characterized by older age, male sex, and smoking. These underlying disorders are the same as coronary risk factors that worsen atherosclerotic disease [17]. In critically ill patients, SARS-CoV2 binds to angiotensin-converting enzyme two receptors on vascular endothelial cells, impairing vascular endothelial glycocalyx, an extracellular matrix that covers vascular endothelial cells throughout the body, and reducing vascular endothelial cell function [16]. This is thought to facilitate the invasion and proliferation of SARS-CoV2.

The clinical symptoms of COVID-19 are non-specific and difficult to distinguish from the common cold, and they are extremely similar to those of Middle East respiratory syndrome (MERS) and severe acute respiratory syndrome (SARS) [18]. In patients with COVID-19, fever is observed in 88.7% of cases, cough in 67.8%, fatigue in 38.1%, and sputum production in 33.7% [12]. In our study, the frequencies of cough, fatigue, and sputum production were similar to those in previous reports, whereas the number of patients with fever was lower in our study (65%). This underscores the fact that infected patients can be asymptomatic.

Moreover, in our study, no difference in symptoms at admission between patients with high and low disease severity was observed, which is consistent with the finding of a previous study [12]. This indicates the difficulty in diagnosing COVID-19 and determining disease severity based on symptoms alone. In addition, regarding vital signs, the median respiratory rate at admission was 22 breaths/min, with the more severe patients exhibiting higher breaths per minute. COVID-19 is primarily a lung infection, thereby making the respiratory organs the most vulnerable to symptoms. A previous study showed that 17.3% of inpatients had a respiratory rate  >  breaths/min [16].

Furthermore, all severe patients with COVID-19 exhibited bilateral pneumonia at admission on both chest radiographs and CT images. [19, 20]. Pneumonia severity classification can be determined by the CURB-65 recommended by the British Thoracic Society [21], or by the pneumonia severity index recommended by the American Society of Infectious Diseases [22], which include blood tests.

Abnormal values have been observed in hematological tests, such as high leukocyte, neutrophil, and lymphocyte counts and low platelet count; in biochemical tests, such as low albumin level and high LDH, blood urea nitrogen (BUN), creatinine, AST, and ALT levels; in coagulation tests, such as d-dimer assessments; and in inflammatory biomarker evaluations, such as high CRP and serum ferritin levels. These results have been correlated with severe disease and death [14, 23, 24]. Moreover, elevated procalcitonin (PCT) and ALT levels have been reported to be independent risk factors for death in a multivariate Cox regression analysis [25]. Abnormalities in coagulation function have been reported not only in COVID-19 but also in SARS and MERS. The mortality rate of patients with COVID-19 increases when the d-dimer level on admission is 2.0 μg/ml or more [26]. In our study, the low group exhibited significantly higher leukocyte and neutrophil counts; lower albumin level, and higher LDH, AST, ALT, CRP, serum ferritin and d-dimer levels both immediately after admission and for the worst post-admission value. In addition, the low group also exhibited a significantly lower lymphocyte count for the worst post-admission value. Elevated leukocytes and neutrophil counts and CRP were considered to be associated with severe inflammation, elevated LDH, AST, and ALT was considered to be associated with organ damage, and elevated d-dimer was considered to be associated with a high thrombotic tendency. In recent years, it has been suspected that COVID-19 patients suffer from systemic inflammatory-reactive microvascular endotheliopathy. The primary mechanism is characterized by thrombotic microvascular disease, loss of vascular endothelial glycocalyx, and increased vascular permeability [27].

After admission, 17 patients (65%) received antiviral therapy, including all members of the low group. As a definite treatment option for patients with COVID-19 remains to be clearly established, doctors may administer antiviral agents to the patients with a more severe disease. Clinical trials that evaluate the effectiveness of antiviral agents are underway [28]. In addition, 13 patients (50%) received antibiotic therapy, which covered both common bacterial infections and atypical pneumonia; however, three patients (50%) in the low group had secondary infections. Bacterial infections have been reported in 50% of patients with severe COVID-19 [29]. ICUs can be breeding grounds of resistant bacteria; thus, concerns regarding antibacterial use encouraging the growth of resistant bacteria have been raised.

Further, while high-flow nasal oxygen therapy, which we did not adopt, could increase the risk of aerosol infection, previous studies have demonstrated that early application of a high-flow nasal cannula may help avoid intubation among patients with ARDS [30, 31]. Regarding complications, ARDS may be considered when a patient’s condition becomes severe, as was observed in our study. Patients may also be at risk for acute kidney injury [29].

Patients with pneumonia commonly develop heart complications, such as new or worsening heart failure, arrhythmia, and myocardial infarction; cardiac arrest occurs in approximately 3% of inpatients with pneumonia who require ICU admission [32]. In our study, one patient who developed myocardiopathy and an arrhythmia died. Using SF ratios, early identification of not only COVID-19-induced lung damage but also concomitant sepsis, secondary infections, kidney damage, liver damage, and myocardial damage was possible.

Limitations

First, this is a retrospective study with a short study period. Second, there was an imbalance of data between the two groups, and both the low and high groups had small sample sizes. Because this was an exploratory data analysis, not based on a formal hypothesis, we did not calculate sample sizes. Third, hormonal imbalances not tested at admission may have affected the disease risk and severity. Clinical trials with larger sample sizes should be conducted in the future.

Conclusion

To our knowledge, this was the first study on the use of the SF ratio upon hospital admission for the detection of severe COVID-19 pneumonia. Early identification of severe COVID-19 using the SF ratio may lead to early ICU admission and, thus, treatment by emergency and intensive care physicians.