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HOME > Acute Crit Care > Volume 37(2); 2022 > Article
Original Article Comparison of critically ill COVID-19 and influenza patients with acute respiratory failure
Mehmet Yildirim*orcid, Burcin Halacli*orcid, Mehmet Yasir Pektezelorcid, Berrin Erorcid, Ismail Tuna Geldigittiorcid, Gulay Tokorcid, Ebru Ortac Ersoyorcid, Arzu Topeliorcid
Acute and Critical Care 2022;37(2):168-176.
DOI: https://doi.org/10.4266/acc.2021.00920
Published online: March 11, 2022

Division of Intensive Care Medicine, Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey

Corresponding Author: Mehmet Yildirim Division of Intensive Care Medicine, Department of Internal Medicine, Hacettepe University Faculty of Medicine, Sihhiye, Ankara 06100, Turkey Tel: +90-53-5676-5720, E-mail: dryildirimmehmet@hotmail.com
*These authors contributed equally to this study.
• Received: July 5, 2021   • Revised: August 19, 2021   • Accepted: August 27, 2021

Copyright © 2022 The Korean Society of Critical Care Medicine

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • Background
    Coronavirus disease 2019 (COVID-19) is one of the biggest pandemic causing acute respiratory failure (ARF) in the last century. Seasonal influenza carries high mortality, as well. The aim of this study was to compare features and outcomes of critically-ill COVID-19 and influenza patients with ARF.
  • Methods
    Patients with COVID-19 and influenza admitted to intensive care unit with ARF were retrospectively analyzed.
  • Results
    Fifty-four COVID-19 and 55 influenza patients with ARF were studied. Patients with COVID-19 had 32% of hospital mortality, while those with influenza had 47% (P=0.09). Patients with influenza had higher Eastern Cooperative Oncology Group, Clinical Frailty Scale, Acute Physiology and Chronic Health Evaluation II and admission Sequential Organ Failure Assessment (SOFA) scores than COVID-19 patients (P<0.01). Secondary bacterial infection, admission acute kidney injury, procalcitonin level above 0.2 ng/ml were the independent factors distinguishing influenza from COVID-19 while prone positioning differentiated COVID-19 from influenza. Invasive mechanical ventilation (odds ratio [OR], 42.16; 95% confidence interval [CI], 9.45–187.97), admission SOFA score more than 4 (OR, 5.92; 95% CI, 1.85–18.92), malignancy (OR, 4.95; 95% CI, 1.13–21.60), and age more than 65 years (OR, 3.31; 95% CI, 0.99–11.03) were found to be independent risk factors for hospital mortality.
  • Conclusions
    There were few differences in clinical features of critically-ill COVID-19 and influenza patients. Influenza cases had worse performance status and disease severity. There was no significant difference in hospital mortality rates between COVID-19 and influenza patients.
  • Keywords: acute respiratory distress syndrome; coronavirus; intensive care; mortality; outcome; viral pneumonia
Severe respiratory coronavirus infections have remarkably been encountered over the past decade. While severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) are the two types of coronaviruses which cause severe respiratory failure, the spread of those diseases have been limited compared with coronavirus disease 2019 (COVID-19) which was caused by SARS-coronavirus-2 (SARS-CoV-2) [1]. COVID-19 is a syndrome with variable clinical features ranging from asymptomatic illness to acute respiratory distress syndrome (ARDS) [2]. The first case was reported on December 2019 in China [3]. Just 3 months later, the disease extended to all of the continents and in March 11, 2020, World Health Organization declared COVID-19 as a pandemic. Intensive care unit (ICU) mortality rates have been reported to range from 30.9% to 78% [4-6].
Influenza viruses are the most frequent etiological agents of severe viral pneumonia. A retrospective cohort study showed that the incidence of influenza-associated critical-illness to be 12 per 100,000-people per year and influenza was the cause of 3.4% of all intensive care admissions [7]. Recent studies revealed viral pneumonia prevalence between 17% to 53% in the ICU setting [8]. A recent multicenter study found 35.6% hospital mortality due to influenza related severe acute respiratory illness [9]. Being the two-major causes of severe pneumonia, comparison of the clinical characteristics and outcomes of COVID-19 and influenza have not been extensively studied yet. There have been few studies among critically ill patients with COVID-19 and influenza comparing clinical characteristics and outcomes [10-12].
Hereby, our objectives were to compare hospital mortality, clinical characteristics of the patients with COVID-19 and influenza admitted to ICU with acute respiratory failure (ARF) and to reveal independent predictive factors for hospital mortality.
The study was approved by the Ethics Committee of Hacettepe University Faculty of Medicine. Due to its retrospective design, informed consent was not obtained.
Patient Selection
We conducted a retrospective observational study on laboratory confirmed critically ill COVID-19 and influenza patients who were older than 18 years of age, admitted to our ICU due to ARF. We reviewed the records of COVID-19 patients who had been admitted to ICU between March 20, 2020 and August 1, 2020. and 1st August 2020. For the influenza group, we included patients who had been admitted between January 1, 2015 and February 1, 2020. All cases in COVID-19 group had positive results for polymerase chain reaction (PCR) or antibody test and all cases of influenza group were PCR confirmed.
Data Collection
Data were collected from electronic medical records and patient charts. ARF was defined as respiratory rate greater than 30 breaths per minute, respiratory distress symptoms, PaO2 lower than 60 mm Hg or SaO2 lower than 0.90 on room air or a need for ventilatory support [13]. Demographic data, comorbidities, Eastern Cooperative Oncology Group (ECOG) Performance Status, Clinical Frailty Scale (CFS; appropriate permission was obtained), Acute Physiology and Chronic Health Evaluation (APACHE) II score, Sequential Organ Failure Assessment (SOFA) score on admission were recorded. Related laboratory results, arterial blood gas analysis and the ratio of partial pressure arterial oxygen and fraction of inspired oxygen (PaO2/FiO2) on ICU admission were noted. The signs and characteristics of infection in chest computed tomography (CT) were examined. The presence of septic shock based on Sepsis-3 definitions [14] and acute kidney injury (AKI) defined by Kidney Disease Improving Global Outcomes criteria [15] on admission were recorded. Type of mechanical ventilation as non-invasive and invasive including prone position were documented. Primary viral infection was considered when respiratory and blood bacterial cultures were negative within first 72 hours during the acute phase of viral ARF. Bacterial co-infection was considered as positive culture results within the first 72 hours in patients with confirmed viral infection. Secondary bacterial infection was considered as positive culture results after 72 hours in patients with confirmed viral infection [16,17]. The features of survivors and non-survivors according to hospital mortality were documented.
Statistical Analysis
Results are presented as medians with interquartile ranges, percentages, odds ratios (OR) and 95% confidence interval (CI). Comparisons were performed with Mann Whitney U-test and chi-square/exact tests, as appropriate. The one variable analyses to identify variables discriminating viral cohorts between each other and to figure out associated parameters with hospital mortality for the whole group were studied. Numeric variables were categorized according to their median values. For multivariable analysis, factors identified with one variable analysis (P<0.20) with no interaction in between were further entered into the logistic regression model by Backward Stepwise method to determine independent predictors differentiating COVID-19 from influenza and predictors for hospital mortality. Since the primary outcome in these analyses are hospital mortality, there was no censored case in our study group, we performed Backward Stepwise method. Hosmer-Lemeshow goodness of fit statistical analysis was used to assess fitness of the model. Kaplan-Meier survival analysis and log rank test were performed to assess the effects of COVID-19 and influenza on survival. P-value < 0.05 was accepted as significant. All analysis was done with IBM SPSS ver. 23 (IBM Corp., Armonk, NY, USA).
Out of 56 COVID-19 and 64 influenza cases admitted to ICU, 54 COVID-19 and 55 influenza patients with ARF were included in the study. Two of the COVID-19 patients and 6 of the influenza patients who did not have a diagnosis with ARF were excluded. We also excluded three of the influenza patients whose medical records were missing. General characteristics of patients are seen at Table 1. In COVID-19 group the median age of patients was 64 years and 34 (63%) were male, while the median age was 62 years and 29 (53%) were male in influenza group. Cardiac disease was higher in the influenza group (P=0.01). In COVID-19 group median ECOG status (P<0.01), CFS (P<0.01), APACHE II (P<0.01) and SOFA (P=0.01) scores were lower than in influenza patients. In terms of admission laboratory tests, white blood cell counts (P<0.01), median neutrophil lymphocyte ratio (NLR; P<0.01), international normalized ratio (P<0.01) and procalcitonin (PCT) values (P<0.01) were lower in patients with COVID-19 than those with influenza. Evaluation of arterial blood gas analysis on admission revealed that patients with influenza had lower pH (P<0.01) and higher PaCO2 levels (P<0.01) than those with influenza.
Influenza patients had higher rates of admission septic shock (P<0.01), AKI (P<0.01) and secondary bacterial infection (P=0.02) during ICU stay in comparison with COVID-19 patients. There was no difference in systemic steroid use during ICU stay between COVID-19 and influenza patients (61% vs. 71%, respectively; P=0.47). IMV applied more in influenza group (43% vs. 66%, respectively; P=0.01). Prone positioning was performed in 52% of the COVID-19 and 6% of the influenza patients (P<0.01). Seventy-eight of the whole patients had primary viral infection. Out of 78 patients, 9 (24.3%) in COVID-19 and 19 (46.3%) in the influenza group passed away (P=0.04). There was no difference in hospital mortality between COVID-19 and influenza patients (32% vs. 47%; P=0.09, respectively). Multivariable analysis revealed that only prone position discriminates COVID-19 from influenza in favor of COVID-19, while the presence of secondary bacterial infection, admission AKI and PCT level above 0.2 ng/ml differentiate in favor of influenza (Figure 1).
The characteristics of survivors and non-survivors were depicted at Table 2. After logistic regression analyses; IMV, admission SOFA >4, malignancy and age >65 years were found to be independent variables for predicting hospital mortality when adjusted for cardiac disease, CFS, APACHE II score >16, presence of septic shock, secondary bacterial infection, NLR ≥10 and patient group as COVID versus influenza (Table 3). In Kaplan-Meier survival analysis, there was no difference between COVID-19 and influenza patients (log-rank P=0.81) (Figure 2).
The present study revealed that patients with influenza had worse performance status, clinical severity scores and more complications than patients with COVID-19 while there was no significant difference in hospital mortality rates between two groups. Age, disease severity and the existence of comorbidities and their types are one of the main influencing factors for outcomes of respiratory failure due to viruses. In this study, patients with influenza had more cardiac and chronic kidney disease and had higher ECOG, CFS, APACHE II and admission SOFA scores than COVID-19.
The only article focusing on ICU patients comparing COVID-19 and influenza was reported by Tang et al. [10] They investigated 73 COVID-19 and 75 influenza patients with ARDS and found 29% versus 35% hospital mortality rates, respectively, not reaching statistical significance similar to our study. Although they did not report data on patients’ performance status, they found higher median SOFA score in patients with influenza. Another recently published study in this field was a retrospective nationwide, population-based study from France by Piroth et al. [12] comparing COVID-19 and 2018-19 seasonal influenza patients. This study includes a large ICU cohort (n=14,585 vs. n=4,926, respectively) and demonstrated that patients with COVID-19 had higher hospital mortality than those with influenza (27% vs. 18%, P<0.01). In this study [12], firstly there was no data on disease severity scores, secondarily they used International Classification of Disease codes for predicting comorbidity scores which had some contradictory findings, as patients with influenza had higher mean Elixhauser comorbidity score but lower mean Charlson comorbidity score than in those with COVID-19. In addition, lower disease severity scores in COVID-19 patients may be related to early referral of patients to ICU from wards and emergency department and early diagnosis in pandemic situation.
We determined that PCT levels on admission were higher in influenza patients than in those with COVID-19 and found PCT levels above 0.2 ng/ml as one of the variables that differentiated influenza from COVID-19. Higher PCT levels have been reported as an independent risk factor for predicting ICU mortality [18,19].
In our study regarding with median PaO2/FiO2 on admission, almost half of the patients in each group had a PaO2/FiO2 between 100 and 200. On the other hand, proportion of the patients who had PaO2/FiO2 under 100 was greater in influenza patients than in those with COVID-19. Tang et al. [10] demonstrated similar findings that there were significantly higher number of patients who had PaO2/FiO2 under 100 in influenza group than COVID-19 (48% vs. 7%, respectively).
It has been recently reported that septic shock was encountered more in COVID-19 patients compared with influenza (31.5% vs. 13.3%) during ICU stay [10]. Similarly, Piroth et al. [12] showed that pulmonary bacterial infection and septic shock were frequently seen in COVID-19 group. Septic shock on admission was found in 51% of our patients and it was more common in those with influenza. Our patients with influenza had worse performance status and more severe illness on admission than those with COVID-19 which could partly explain these different results between our study and previous ones. As known, another confounding factor during ARF is AKI which is associated with mortality among critically ill influenza patients and rates of reported AKI vary between 27 to 61%, consistent with the current study [9,20-22]. In this study, AKI was more common in the influenza group and the presence of AKI on admission draw a distinction with influenza from COVID-19. AKI incidence among critically ill COVID-19 patients was determined to be between 23% to 43% in previous studies [23,24]. In our study, AKI occurrence in COVID-19 cohort on admission was 30%.
Since the beginning of the COVID-19 pandemic, respiratory support practices have varied. At the beginning of the pandemic, IMV was frequently applied to COVID-19 patients with respiratory failure in order to prevent the spread of the disease especially to healthcare workers. Prone positioning has been used as a rescue treatment in severe ARDS patients to improve oxygenation and prevent ventilation induced lung injury [25,26]. In our study prone positioning was performed more commonly in patients with COVID-19 than in those with influenza and it was the only independent parameters that distinguished COVID-19 from influenza. It has been increasingly utilized in COVID-19 patients with ARDS and many studies showed improvement in oxygenation even during awake prone positioning [27,28].
Bacterial infections developing during the course of viral infections have been frequently reported in recent years, and its association with increased morbidity and mortality has been shown [29,30]. In the current study, secondary bacterial infection was observed in 51% of the whole patients and it was demonstrated to be higher in the influenza group. Furthermore, the presence of secondary bacterial infection stands out as a variable that differentiate influenza from COVID-19.
This study is important because there are limited number of studies comparing COVID-19 with influenza and whether COVID-19 carries poorer prognosis compared to influenza is not well-known yet. However, there are some limitations in this study. First, it was a single-center retrospective study. Therefore, generalization of the results is not quite possible and the study is underpowered to detect a difference in the main outcome. Second, the two groups do not match with each other in terms of disease severity as such clinical severity of influenza was worse than that of the COVID-19 patients. Due to few numbers of patients, it was not possible to do a matched case-control study, however in logistic regression analysis COVID-19 or influenza was not a predictor of mortality when adjusted for other risk factors. Third, COVID-19 group consisted of patients admitted to ICU during the 4 months of the pandemic in our institution, whereas in the influenza group seasonal influenza cases of the last 5 years before the pandemic were included. Therefore, diagnostic and therapeutic options might have been changed during this time period which might have influenced patient outcomes.
This study revealed that there are few differences in clinical features of critically ill COVID-19 and influenza patients and there is no significant difference in hospital mortality between two groups. In fact, influenza cases had worse performance status and disease severity. Therefore, further studies with larger number of critically ill patients matched for clinical severity are needed.
▪ There was no significant difference in hospital mortality between critically ill coronavirus disease 2019 (COVID-19) and influenza patients.
▪ Critically ill influenza patients had worse performance status and disease severity than patients with COVID-19.
▪ Secondary bacterial infection, admission acute kidney injury, procalcitonin level above 0.2 ng/ml were the independent factors distinguishing influenza from COVID-19 while prone positioning differentiated COVID-19 from influenza.

CONFLICT OF INTEREST

No potential conflict of interest relevant to this article was reported.

AUTHOR CONTRIBUTIONS

Conceptualization: MY, BH, MYP, AT. Data curation: MY, MYP, BE, ITG, GT. Formal analysis: MY, BH, MYP, AT. Methodology: MY, BH, AT. Visualization: MY, BH, EOE. Writing–original draft: MY, BH. Writing–review & editing: BH, AT.

Figure 1.
Independent parameters differentiating viral agents are schematized by forest plot. Independent parameters differentiating viral agents are schematized by forest plot. Adjusted for the history of cardiac disease, Clinical Frailty Scale, Acute Physiology and Chronic Health Evaluation (APACHE) II score, Sequential Organ Failure Assessment (SOFA) score, presence of septic shock, invasive mechanical ventilation, admission neutrophil/lymphocyte ratio, and admission international normalized ratio. Except prone positioning, admission procalcitonin (PCT), acute kidney injury (AKI) and secondary bacterial infection discriminate influenza patients from coronavirus disease 2019 (COVID-19). OR: odds ratio; Cl: confidence interval.
acc-2021-00920f1.jpg
Figure 2.
Kaplan-Meier survival curve comparing patients with Coronavirus disease 2019 (COVID-19; dotted line) and influenza (straight line) revealing no difference in survival between two groups (log-rank P=0.81).
acc-2021-00920f2.jpg
Table 1.
General characteristics and outcomes of COVID-19 and influenza patients
Variable All (n=109) COVID-19 (n=54) Influenza (n=55) P-value
Age (yr) 64 (55–76) 64 (58–76) 62 (51–77) 0.83
Patients >65 yr 50 (46) 24 (44) 26 (47) 0.76
Male sex 63 (58) 34 (63) 29 (53) 0.27
Comorbidity
 Hypertension 51 (47) 25 (46) 26 (47) 0.91
 Diabetes mellitus 32 (29) 13 (24) 19 (35) 0.23
 Cardiac disease 30 (28) 9 (17) 21 (38) 0.01
 Malignancy 24 (22) 8 (15) 16 (29) 0.07
 Chronic lung disease 21 (19) 7 (13) 14 (26) 0.09
 Chronic kidney disease 6 (6) 0 6 (11) 0.01
 Chronic liver disease 5 (5) 4 (7) 1 (2) 0.20
Smoking 37 (34) 17 (32) 20 (36) 0.59
ECOG status 2 (1–3) 1 (0–2) 2 (1–3) <0.01
CFS 4 (2–6) 3 (1–5) 5 (3–7) <0.01b
APACHE II score 16 (12–24) 13 (10-18) 19 (15–27) <0.01
SOFA score on admission 4 (3–7) 4 (3–6) 6 (3–10) 0.01
Laboratory values on admission
 WBC (×103) 8.1 (5.2–11) 6.1 (4.1–9.3) 9.9 (7.1–13.4) <0.01
 Lymphocyte (×103) 0.7 (0.5–1) 0.8 (0.5–1.1) 0.6 (0.4–0.9) 0.19
 NLR 9.6 (3.9–16.9) 5.9 (2.6–12.5) 13.4 (6–22.8) <0.01
 Prothrombin time (INR) 1.1 (1–1.2) 1.1 (1–1.1) 1.2 (1.1–1.4)a <0.01
 Procalcitonin (ng/ml) 0.2 (0.08–0.77) 0.13 (0.07–0.2) 1.9 (0.2–7.5) <0.01
 pH (mm Hg) 7.42 (7.36–7.46) 7.44 (7.41–7.49) 7.40 (7.33–7.44)c <0.01
 PaCO2 (mm Hg) 36 (31–46) 33 (29–36) 45 (35–57)c <0.01
PaO2/FiO2 on admission 167 (124–234) 160 (127–233) 180 (102–250) 0.24
 <100 20 (18) 7 (13) 13 (23) 0.01
 100–199 48 (44) 25 (46) 23 (42) 0.92
 200–300 32 (30) 19 (35) 13 (23) 0.02
 >300 9 (8) 3 (6) 6 (11) 0.06
Thorax CT findings on admission
 Ground glass opacity 71 (79) 48 (92) 23 (61) <0.01
 Consolidation 8 (9) 2 (4) 6 (16) 0.06
 Infiltration 2 (2) 0 2 (5) 0.17
Septic shock on admission 55 (51) 20 (37) 35 (64) <0.01
AKI on admission 52 (48) 16 (30) 36 (66) <0.01
Mechanical Ventilation
 IMV 59 (54) 23 (43) 36 (66) 0.01
 NIMV 66 (61) 26 (48) 40 (73) 0.01
Prone position 31 (28) 28 (52) 3 (6) <0.01
RRT 27 (25) 7 (13) 20 (36) <0.01
Primary viral infection 78 (72) 37 (69) 41 (75) 0.48
Bacterial co-infection 34 (31) 13 (24) 21 (38) 0.11
Secondary bacterial infection 56 (51) 22 (41) 34 (62) 0.02
Opportunistic infection 9 (8) 5 (9) 4 (7) 0.50
Outcomes
 Hospital mortality 43 (39) 17 (32) 26 (47) 0.09
 ICU LOS (day) 12 (6–24) 12 (5–18) 12 (6–29) 0.22
 Hospital LOS (day) 20 (12–36) 18 (11–29) 24 (13–42) 0.09

Values are presented as median (interquartile range) or number (%).

COVID-19: coronavirus disease 2019; ECOG: Eastern Cooperative Oncology Group; CFS: Clinical Frailty Scale; APACHE: Acute Physiology and Chronic Health Evaluation; SOFA: Sequential Organ Failure Assessment; WBC: white blood cell; NLR: neutrophil lymphocyte ratio; INR: international normalized ratio; PaO2/FiO2: the ratio of partial pressure arterial oxygen and fraction of inspired oxygen; CT: computerized tomography; AKI: acute kidney injury; IMV: invasive mechanical ventilation; NIMV: non-invasive mechanical ventilation; RRT: renal replacement therapy; ICU: intensive care unit; LOS: length of stay.

an=53;

bn=23;

cn=54;

Table 2.
General characteristics of survivors and non-survivors in overall patients
Variable Survivor (n=66) Non-survivor (n=43) P-value
Age (yr) 60 (51–73) 69 (60–79) 0.01e
Patients >65 yr 26 (39) 24 (56) 0.09
Male sex 34 (52) 29 (67) 0.10
Comorbidity
 Hypertension 27 (41) 24 (56) 0.12
 Diabetes mellitus 17 (29) 15 (35) 0.30
 Chronic lung disease 15 (28) 6 (14) 0.25
 Cardiac disease 13 (20) 17 (40) 0.02a
 Malignancy 9 (14) 15 (35) <0.01e
 Chronic kidney disease 2 (3) 4 (9) 0.21
 Chronic liver disease 0 5 (12) <0.01e
Smoking 21 (32) 16 (37) 0.56
ECOG status 1 (0–2) 2 (1–3) 0.001e
CFS 3 (2–6) 5 (4–7) <0.001e
APACHE II score 14 (11–19) 20 (15–31) <0.001e
Admission SOFA score 4 (2–5) 7 (5–12) <0.001e
Laboratory values on admission
 WBC (×103) 7.5 (5–10) 10 (7–12) 0.01e
 Lymphocyte (×103) 0.7 (0.5–1) 0.6 (0.4–1) 0.26
 NLR 7.6 (3.7–13.5) 13.5 (5–22.5) 0.03
 Prothrombin time (INR) 1.06 (1.05–1.16)a 1.18 (1.13–1.59)c <0.001e
 Procalcitonin (ng/ml) 0.14 (0.07–0.3)1b 0.6 (0.1–4.7)d <0.01e
 pH (mm Hg) 7.43 (7.39–7.47)a 7.40 (7.29–7.45) 0.01e
 PaCO2 (mm Hg) 36 (31–44)a 35 (30–47) 0.81
PaO2/FiO2 on admission 184 (132–257) 154 (97–206) 0.01e
Prone position 20 (30) 11 (26) 0.60
Septic shock on admission 18 (27) 37 (86) <0.001e
AKI on admission 19 (29) 33 (77) <0.001e
Mechanical Ventilation
 IMV 19 (29) 40 (93) <0.001e
 NIMV 39 (59) 27 (63) 0.70
RRT 6 (9) 21 (49) <0.001e
Primary viral infection 50 (76) 28 (65) 0.23
Bacterial co-infection 18 (27) 16 (37) 0.27
Secondary bacterial infection 27 (41) 29 (67) <0.01e
Opportunistic infection 3 (5) 6 (14) 0.08
Patient group 0.09
 COVID-19 37 (56) 17 (40)
 Influenza 29 (44) 26 (60)
Outcome
 ICU LOS (day) 11 (6–18) 17 (5–32) 0.23
 Hospital LOS (day) 17 (11–34) 24 (13–37) 0.56

Values are presented as median (interquartile range) or number (%).

ECOG: Eastern Cooperative Oncology Group; CFS: Clinical Frailty Scale; APACHE: Acute Physiology and Chronic Health Evaluation; SOFA: Sequential Organ Failure Assessment; WBC: white blood cell; NLR: neutrophil lymphocyte ratio; INR: international normalized ratio; PaO2/FiO2: the ratio of partial pressure arterial oxygen and fraction of inspired oxygen; AKI: acute kidney injury; IMV: invasive mechanical ventilation; NIMV: non-invasive mechanical ventilation; RRT: renal replacement therapy; COVID-19: coronavirus disease 2019; ICU: intensive care unit; LOS: length of stay.

an=65;

bn=46;

cn=42;

dn=31;

eIndicates statistical significance.

Table 3.
Multivariable analysis for predicting hospital mortality
Parameter Odds ratio (95% CI) P-value
IMV 42.16 (9.45–187.97) <0.001
SOFA score on admission >4 5.92 (1.85–18.92) 0.01
Malignancy 4.95 (1.13–21.60) 0.03
Age >65 yr 3.31 (0.99–11.03) 0.05

Adjusted for history of cardiac disease, Clinical Frailty Scale, Acute Physiology and Chronic Health Evaluation II score >16, presence of septic shock, secondary bacterial infection, neutrophil lymphocyte ratio ≥10 and patient group as coronavirus disease 2019 versus influenza.

Cl: confidence interval; IMV: invasive mechanical ventilation; SOFA: Sequential Organ Failure Assessment.

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      Comparison of critically ill COVID-19 and influenza patients with acute respiratory failure
      Acute Crit Care. 2022;37(2):168-176.   Published online March 11, 2022
      DOI: https://doi.org/10.4266/acc.2021.00920
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    Comparison of critically ill COVID-19 and influenza patients with acute respiratory failure
    Image Image
    Figure 1. Independent parameters differentiating viral agents are schematized by forest plot. Independent parameters differentiating viral agents are schematized by forest plot. Adjusted for the history of cardiac disease, Clinical Frailty Scale, Acute Physiology and Chronic Health Evaluation (APACHE) II score, Sequential Organ Failure Assessment (SOFA) score, presence of septic shock, invasive mechanical ventilation, admission neutrophil/lymphocyte ratio, and admission international normalized ratio. Except prone positioning, admission procalcitonin (PCT), acute kidney injury (AKI) and secondary bacterial infection discriminate influenza patients from coronavirus disease 2019 (COVID-19). OR: odds ratio; Cl: confidence interval.
    Figure 2. Kaplan-Meier survival curve comparing patients with Coronavirus disease 2019 (COVID-19; dotted line) and influenza (straight line) revealing no difference in survival between two groups (log-rank P=0.81).

    Figure 1.

    Figure 2.

    Comparison of critically ill COVID-19 and influenza patients with acute respiratory failure
    Variable All (n=109) COVID-19 (n=54) Influenza (n=55) P-value
    Age (yr) 64 (55–76) 64 (58–76) 62 (51–77) 0.83
    Patients >65 yr 50 (46) 24 (44) 26 (47) 0.76
    Male sex 63 (58) 34 (63) 29 (53) 0.27
    Comorbidity
     Hypertension 51 (47) 25 (46) 26 (47) 0.91
     Diabetes mellitus 32 (29) 13 (24) 19 (35) 0.23
     Cardiac disease 30 (28) 9 (17) 21 (38) 0.01
     Malignancy 24 (22) 8 (15) 16 (29) 0.07
     Chronic lung disease 21 (19) 7 (13) 14 (26) 0.09
     Chronic kidney disease 6 (6) 0 6 (11) 0.01
     Chronic liver disease 5 (5) 4 (7) 1 (2) 0.20
    Smoking 37 (34) 17 (32) 20 (36) 0.59
    ECOG status 2 (1–3) 1 (0–2) 2 (1–3) <0.01
    CFS 4 (2–6) 3 (1–5) 5 (3–7) <0.01b
    APACHE II score 16 (12–24) 13 (10-18) 19 (15–27) <0.01
    SOFA score on admission 4 (3–7) 4 (3–6) 6 (3–10) 0.01
    Laboratory values on admission
     WBC (×103) 8.1 (5.2–11) 6.1 (4.1–9.3) 9.9 (7.1–13.4) <0.01
     Lymphocyte (×103) 0.7 (0.5–1) 0.8 (0.5–1.1) 0.6 (0.4–0.9) 0.19
     NLR 9.6 (3.9–16.9) 5.9 (2.6–12.5) 13.4 (6–22.8) <0.01
     Prothrombin time (INR) 1.1 (1–1.2) 1.1 (1–1.1) 1.2 (1.1–1.4)a <0.01
     Procalcitonin (ng/ml) 0.2 (0.08–0.77) 0.13 (0.07–0.2) 1.9 (0.2–7.5) <0.01
     pH (mm Hg) 7.42 (7.36–7.46) 7.44 (7.41–7.49) 7.40 (7.33–7.44)c <0.01
     PaCO2 (mm Hg) 36 (31–46) 33 (29–36) 45 (35–57)c <0.01
    PaO2/FiO2 on admission 167 (124–234) 160 (127–233) 180 (102–250) 0.24
     <100 20 (18) 7 (13) 13 (23) 0.01
     100–199 48 (44) 25 (46) 23 (42) 0.92
     200–300 32 (30) 19 (35) 13 (23) 0.02
     >300 9 (8) 3 (6) 6 (11) 0.06
    Thorax CT findings on admission
     Ground glass opacity 71 (79) 48 (92) 23 (61) <0.01
     Consolidation 8 (9) 2 (4) 6 (16) 0.06
     Infiltration 2 (2) 0 2 (5) 0.17
    Septic shock on admission 55 (51) 20 (37) 35 (64) <0.01
    AKI on admission 52 (48) 16 (30) 36 (66) <0.01
    Mechanical Ventilation
     IMV 59 (54) 23 (43) 36 (66) 0.01
     NIMV 66 (61) 26 (48) 40 (73) 0.01
    Prone position 31 (28) 28 (52) 3 (6) <0.01
    RRT 27 (25) 7 (13) 20 (36) <0.01
    Primary viral infection 78 (72) 37 (69) 41 (75) 0.48
    Bacterial co-infection 34 (31) 13 (24) 21 (38) 0.11
    Secondary bacterial infection 56 (51) 22 (41) 34 (62) 0.02
    Opportunistic infection 9 (8) 5 (9) 4 (7) 0.50
    Outcomes
     Hospital mortality 43 (39) 17 (32) 26 (47) 0.09
     ICU LOS (day) 12 (6–24) 12 (5–18) 12 (6–29) 0.22
     Hospital LOS (day) 20 (12–36) 18 (11–29) 24 (13–42) 0.09
    Variable Survivor (n=66) Non-survivor (n=43) P-value
    Age (yr) 60 (51–73) 69 (60–79) 0.01e
    Patients >65 yr 26 (39) 24 (56) 0.09
    Male sex 34 (52) 29 (67) 0.10
    Comorbidity
     Hypertension 27 (41) 24 (56) 0.12
     Diabetes mellitus 17 (29) 15 (35) 0.30
     Chronic lung disease 15 (28) 6 (14) 0.25
     Cardiac disease 13 (20) 17 (40) 0.02a
     Malignancy 9 (14) 15 (35) <0.01e
     Chronic kidney disease 2 (3) 4 (9) 0.21
     Chronic liver disease 0 5 (12) <0.01e
    Smoking 21 (32) 16 (37) 0.56
    ECOG status 1 (0–2) 2 (1–3) 0.001e
    CFS 3 (2–6) 5 (4–7) <0.001e
    APACHE II score 14 (11–19) 20 (15–31) <0.001e
    Admission SOFA score 4 (2–5) 7 (5–12) <0.001e
    Laboratory values on admission
     WBC (×103) 7.5 (5–10) 10 (7–12) 0.01e
     Lymphocyte (×103) 0.7 (0.5–1) 0.6 (0.4–1) 0.26
     NLR 7.6 (3.7–13.5) 13.5 (5–22.5) 0.03
     Prothrombin time (INR) 1.06 (1.05–1.16)a 1.18 (1.13–1.59)c <0.001e
     Procalcitonin (ng/ml) 0.14 (0.07–0.3)1b 0.6 (0.1–4.7)d <0.01e
     pH (mm Hg) 7.43 (7.39–7.47)a 7.40 (7.29–7.45) 0.01e
     PaCO2 (mm Hg) 36 (31–44)a 35 (30–47) 0.81
    PaO2/FiO2 on admission 184 (132–257) 154 (97–206) 0.01e
    Prone position 20 (30) 11 (26) 0.60
    Septic shock on admission 18 (27) 37 (86) <0.001e
    AKI on admission 19 (29) 33 (77) <0.001e
    Mechanical Ventilation
     IMV 19 (29) 40 (93) <0.001e
     NIMV 39 (59) 27 (63) 0.70
    RRT 6 (9) 21 (49) <0.001e
    Primary viral infection 50 (76) 28 (65) 0.23
    Bacterial co-infection 18 (27) 16 (37) 0.27
    Secondary bacterial infection 27 (41) 29 (67) <0.01e
    Opportunistic infection 3 (5) 6 (14) 0.08
    Patient group 0.09
     COVID-19 37 (56) 17 (40)
     Influenza 29 (44) 26 (60)
    Outcome
     ICU LOS (day) 11 (6–18) 17 (5–32) 0.23
     Hospital LOS (day) 17 (11–34) 24 (13–37) 0.56
    Parameter Odds ratio (95% CI) P-value
    IMV 42.16 (9.45–187.97) <0.001
    SOFA score on admission >4 5.92 (1.85–18.92) 0.01
    Malignancy 4.95 (1.13–21.60) 0.03
    Age >65 yr 3.31 (0.99–11.03) 0.05
    Table 1. General characteristics and outcomes of COVID-19 and influenza patients

    Values are presented as median (interquartile range) or number (%).

    COVID-19: coronavirus disease 2019; ECOG: Eastern Cooperative Oncology Group; CFS: Clinical Frailty Scale; APACHE: Acute Physiology and Chronic Health Evaluation; SOFA: Sequential Organ Failure Assessment; WBC: white blood cell; NLR: neutrophil lymphocyte ratio; INR: international normalized ratio; PaO2/FiO2: the ratio of partial pressure arterial oxygen and fraction of inspired oxygen; CT: computerized tomography; AKI: acute kidney injury; IMV: invasive mechanical ventilation; NIMV: non-invasive mechanical ventilation; RRT: renal replacement therapy; ICU: intensive care unit; LOS: length of stay.

    n=53;

    n=23;

    n=54;

    Table 2. General characteristics of survivors and non-survivors in overall patients

    Values are presented as median (interquartile range) or number (%).

    ECOG: Eastern Cooperative Oncology Group; CFS: Clinical Frailty Scale; APACHE: Acute Physiology and Chronic Health Evaluation; SOFA: Sequential Organ Failure Assessment; WBC: white blood cell; NLR: neutrophil lymphocyte ratio; INR: international normalized ratio; PaO2/FiO2: the ratio of partial pressure arterial oxygen and fraction of inspired oxygen; AKI: acute kidney injury; IMV: invasive mechanical ventilation; NIMV: non-invasive mechanical ventilation; RRT: renal replacement therapy; COVID-19: coronavirus disease 2019; ICU: intensive care unit; LOS: length of stay.

    n=65;

    n=46;

    n=42;

    n=31;

    Indicates statistical significance.

    Table 3. Multivariable analysis for predicting hospital mortality

    Adjusted for history of cardiac disease, Clinical Frailty Scale, Acute Physiology and Chronic Health Evaluation II score >16, presence of septic shock, secondary bacterial infection, neutrophil lymphocyte ratio ≥10 and patient group as coronavirus disease 2019 versus influenza.

    Cl: confidence interval; IMV: invasive mechanical ventilation; SOFA: Sequential Organ Failure Assessment.

    Table 1.

    Table 2.

    Table 3.

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