Abstract
COVID-19 pneumonia causes acute respiratory distress syndrome (ARDS). Prone positioning (PP) is beneficial to pulmonary physiology and improves oxygenation in patients with ARDS. We aimed to investigate the effect of the PP on oxygenation, respiratory rate (RR) and ROX index in non-intubated patients with COVID-19 associated respiratory failure and to determine whether ROX index predicts intubation. Awake critically-ill patients with confirmed diagnosis of COVID-19 who underwent PP were enrolled in the retrospective, single-center study. Oxygenation parameters were recorded 1 h before PP, during PP and 1 h after return to supine position (after PP). Intubation was defined as the endpoint. Seventy-one patients with a median age of 64 [55-73] years were enrolled in the study. PaO2/FiO2 and SpO2/FiO2 improved during PP, this improvement did not persist after PP. RR improved during and after PP in both intubated and non-intubated patients (for all P < .001). ROX index improved only in non-intubated patients (P < .001) but not in intubated patients (P = .07). Area under the curve (AUC) of ROX index for intubation before PP, during PP and after PP were 0.74 [0.61-0.88] (P = .002), 0.76 [0.62-0.91] (P = .001), and 0.76 [0.64-0.89] (P = .001), respectively. ROX index >6.83 before PP had a negative predictive value (NPV) of 0.85; ROX index >8.28 during PP had a NPV of 0.88 and ROX index >7.48 after PP had a NPV of 0.85. In logistic regression adjusted for APACHE II score, ROX index ≤6.83 before PP had an odds ratio (OR) 4.47 [1.39-14.38], ROX index ≤8.28 during PP had an OR 7.96 [2.29-27.64] and ROX index ≤7.48 had an OR 3.98 [1.25-12.61] for prediction of intubation. In conclusion, awake PP improves oxygenation and decreases RR. ROX index improved only in non- intubated patients and a higher ROX index predicts lower risk of progressing to mechanical ventilation with intubation.
Keywords
Introduction
Severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) infection causing coronavirus disease-2019 (COVID-19), dramatically increased the number of hospital admission of patients with acute respiratory failure (ARF) and acute respiratory distress syndrome (ARDS). 1 If these patients need intensive care unit (ICU) admission and require invasive mechanical ventilation (IMV), mortality might hit up to 60%.2,3
Prone positioning has been shown to improve oxygenation and respiratory mechanics by promoting lung homogeneity and to reduce lung injury and mortality in the intubated patients with moderate to severe ARDS.4,5 Notably, after the COVID-19 pandemic, interest has been raised for awake PP to reduce the need for IMV.6-9 The utilization of PP in spontaneously breathing, non-intubated patients treated with oxygen therapy or non-invasive ventilation (NIV) have been reported to improve oxygenation and to decrease respiratory effort. 10 However, predictors for mechanical ventilation with intubation are still scarce in patients who receive PP.11,12
Respiratory rate-oxygenation (ROX) index, that is, the ratio of oxygen saturation with a pulse oximeter to the fraction of inspired oxygen [SPO2/FiO2] divided by the respiratory rate (RR) has been shown to be a predictor for intubation in patients with ARF due to pneumonia treated with high flow nasal oxygen (HFNO). 13 Few studies during the COVID-19 pandemic have been reported to assess the predictive accuracy of the ROX index for HFNO failure14-16 or NIV failure. 17 However, the predictive value of ROX index during PP has not been investigated extensively.
This study aimed to investigate the effect of PP on oxygenation, RR and ROX index in non-intubated patients with COVID-19 associated ARF admitted to ICU and to determine predictors for intubation.
Methods
Study Design and Patients
This study is a retrospective, single-center, observational study conducted between March 21th and October 31st, 2020 in a tertiary academic hospital ICU. Laboratory-confirmed (all cases in COVID-19 patients had positive results for polymerase chain reaction (PCR) for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)) adult critically-ill awake and spontaneously breathing, non-intubated COVID-19 patients who were admitted to ICU due to ARF and received PP during the ICU stay were included. The study protocol was approved by the University's Ethics Committee (GO: 20-1013, NOV 3 2020).
Variables and Definitions
The data were recorded from electronic and printed medical records.
Patient demographics such as age, sex, comorbidities (hypertension, diabetes mellitus, chronic cardiac and lung diseases, malignancy, chronic renal and liver diseases) were recorded. In addition, acute physiology age and chronic health evaluation II (APACHE II), and sequential organ failure assessment (SOFA) scores during admission, duration of the first PP, use of conventional oxygen treatment, HFNO and NIV during ICU stay, need for endotracheal intubation, ICU length of stay, ICU mortality and 28th-day mortality were also recorded.
The vital signs and physiological parameters (FiO2, partial pressure of arterial oxygen (PaO2), SpO2, FiO2, PaO2/FiO2 ratio, SpO2/FiO2 ratio, RR and ROX index) were recorded for three different time points of the first PP because of evaluating the effect of PP on these parameters as 1 h before PP, during PP and 1 h after return to the supine position.
Estimated PaO2 from SpO2 was used if an arterial blood gas sample was lacking and estimated FiO2 from oxygen flow rate was calculated as described elsewhere. 18
Patients who had ≥10% increase in PaO2/FiO2 ratio and ≥10% decrease in RR were accepted as responders both before versus during and before versus after. The others were considered as non-responders. Intubation was defined as the end point.
Statistical Analysis
Continuous variables were presented as median [25th-75th percentile] and categorical variables were presented as frequencies and percentages. Mann–Whitney U test was used to compare the continuous variables and x² and Fisher exact test were used to compare categorical variables. Comparisons were made between intubated and non-intubated patients. One-way analysis of variance (ANOVA) for repeated measurement with a post hoc Tukey's correction and Friedman test were used for multiple comparisons were appropriate. Logistic regression analysis was performed in multivariate analysis to determine predictors of intubation and the results were expressed as OR and 95% confidence interval (CI). Receiving operator characteristic (ROC) curves and area under ROC (AUROC) with sensitivities and specificities were performed to measure the effect of RR, ROX and PaO2/FiO2 ratio for intubation. Youden index used while finding cut off values. Statistical analyses were performed with SPSS 23.0 (Chicago, IL) and R 3.2. A P-value of less than .05 was considered as statistical significance.
Results
During the study period, 275 patients were diagnosed as COVID-19 associated ARF, and 71 non-intubated patients underwent PP. Of them 19 (26.8%) patients were required intubation during the study period despite PP. Patient characteristics and comparison of patients as non-intubated (patients not required intubation during study period) and required intubation are summarized in Table 1. The median age of the patients was 64 [55-73] years and 67.6% of them were male. The APACHE II and SOFA scores on ICU admission were 14 [11-16] and 3 [3-4], respectively. Patients were admitted to the hospital within 5 [2-7] days and to the ICU within 10 [7-12] days after the onset of symptoms. Estimated PaO2 from SpO2 was used at 38 patients before PP, 48 patients during PP and 58 patients after PP. Median PaO2/FiO2 ratio on ICU admission was 155 [122-207] mmHg. During the ICU stay, 40 (56.3%) patients were treated with HFNO, 15 of whom during the first PP; 49 (69%) patients were treated with NIV, 5 of whom during the first PP. There were significant changes for PaO2/FiO2, SpO2/FiO2 and ROX index in all-time points (before, during, after PP), for both non-intubated patients and patients required intubation. The decrease in RR was found to be higher in the non-intubated group. The intubation rate was lower in patients whose RR decreased ≥10% during PP (P = .09). ICU length of stay was 12 [8-19] days and 28th day mortality was 28.2%. The ICU mortality and 28-day mortality were higher in the patients required intubation group (P < .001).
Characteristics of the Patients and Comparison of Non-Intubated Patients and Patients Required Intubation Despite PP.
n (%), others as median [25th-75th percentile].
Abbreviations: APACHE, acute physiology and chronic health evaluation; SOFA, sequential organ failure assessment; ICU, intensive care unit; PaO2, partial pressure of arterial oxygen; FiO2, fraction of inspired oxygen; PP, prone positioning; SpO2, saturation of oxygen with pulse-oximeter; RR, respiratory rate; ROX index, (SpO2/FiO2)/RR; HFNO, high flow nasal oxygen; NIV, non-invasive ventilation; Responder, ≥10% increase in PaO2/FiO2 ratio and ≥10% decrease in RR.
The impact of PP on PaO2/FiO2, SpO2/FiO2, RR, and ROX index in non-intubated and required intubation patients is shown in Figure 1. PaO2/FiO2 and SpO2/FiO2 improved during PP (for required intubation patients P < .001, P = .006, respectively; for non-intubated patients P < .001 for all), however, this improvement did not persist after PP (for patients required intubation P = .87, P = .30, respectively; for non-intubated patients P = .87, P = .23, respectively). RR improved during and after PP in both patients required intubation and non-intubated patients (for all P < .001). Whereas, ROX index improved only in non-intubated patients (P < .001) but not in patients required intubation during study period (P = .07).

Sensitivities and specificities of ROX index before PP, ROX index during PP and ROX index after PP.
In logistic regression models adjusted for APACHE II score, ROX index ≤ 6.83 before PP had an odds ratio (OR) of 4.47 [1.39-14.38], ROX index ≤8.28 during PP had an OR of 7.96 [2.29-27.64] and ROX index ≤7.48 had an OR of 3.98 [1.25-12.61] for prediction of intubation (Table 2).
Logistic Regression Analysis Adjusted by APACHE II for Prediction of Intubation.
Models adjusted for APACHE II score, ROX index ≤6.83 before PP (A), ROX index ≤8.28 during PP (B) and ROX index ≤7.48 (C) for prediction of intubation.
ROC curves for ROX index before PP, during PP and after PP as predictors of intubation are seen in Figure 2. Area under the curve (AUC) [95% CI] of ROX index before PP, ROX index during PP and ROX index after PP were 0.74 [0.61-0.88] (P = .002), 0.76 [0.62-0.91] (P = .001), and 0.76 [0.64-0.89] (P = .001), respectively, for intubation. ROX index > 6.83 before PP had a negative predictive value (NPV) of 0.85; ROX index >8.28 during PP had a NPV of 0.88 and ROX index >7.48 after PP had a NPV of 0.85. ROX index cut off value of 8.28 during PP had the highest sensitivity and specificity for prediction of intubation (0.74 and 0.73, respectively).

Chances of PaO2/FiO2, SpO2/ FiO2, RR and ROX index at the three timepoint.
Discussion
In the current study, PP in awake, spontaneously breathing, non-intubated patients with severe hypoxemic ARF due to COVID-19 was found to be associated with improvement in oxygenation during PP, although the effect in oxygenation was lost after reverting to supine position. RR improved both in non-intubated patients and patients required intubation during and after PP. However, ROX index improved only in non-intubated patients and ROX index was a predictor of intubation with a high NPV. Therefore, a higher ROX index predicts lower risk of progressing to mechanical ventilation with intubation.
A few studies assessed the impact of awake PP in patients with severe hypoxemia and found positive effect on oxygenation and respiratory mechanics before the COVID-19 pandemic.8-10 In COVID-19 era, several observational and randomized controlled studies have revealed that awake PP avoided intubation especially in patients who received advanced respiratory support such as HFNO, NIV and in the ICU setting.19,20
However, the improvement in oxygenation was usually temporary, reversing after getting back to supine position in most of the patients.21,22 Similar to these studies the current study revealed that PP might improve oxygenation during PP but this effect reverted after resupination.
Although the improvement in oxygenation did not continue or even deteriorated, in the current study the reduction in RR persisted after PP. However, this effect was observed both in patients required intubation and non-intubated patients making RR a non-reliable parameter for the prediction of intubation. However, ROX index revealed a sustained improvement only in non-intubated patients during and after PP. Therefore, it could be a better index for predicting intubation compared to RR and oxygenation parameters.
Especially during the first wave of the pandemic, mortality in patients who received IMV was quite high.1,2 IMV carries relatively higher mortality and complication rates compared to non-invasive respiratory support, however, delaying IMV causes excess mortality as well.23-25 Therefore, timing is of utmost importance and several studies investigated predictors for intubation in COVID-19 patients with ARF.14,26,27
Awake PP has been utilized more during the pandemic, however, predictors for intubation in patients who received PP are scarce. Lupieri et al 27 investigated in 27 patients who underwent awake PP, whether PaO2/FiO2, alveolar–arterial gradient, RR and PaCO2 could predict the need for intubation and revealed that in non-intubated patients PaO2/FiO2 increased and, alveolar–arterial gradient decreased as compared to intubated patients. However, hypoxemia by itself could not be considered an indication of intubation. Downing, et al 12 investigated predictors of intubation in COVID-19 patients undergoing awake proning in the emergency department and found ROX index and PaO2/FiO2 measured 24 h after admission to be the variables most likely to predict need for intubation. However, almost 30% of their patients had initial PaO2/FiO2 >300 reflecting non-critical illness, although 44% of their patients were intubated. This might not only be due to different patient populations but also due to differences in clinicians’ decisions for intubation at the bedside. Moreover, this study reported ROX index at triage and 24 h later. There was no information in this study about the PaO2/FiO2 and ROX index before, during or after PP. So, this study could not give information whether variables during peri-proning period were related to intubation. Nevertheless, similar to this study, ROX index has been shown to be a promising variable for the decision of intubation. Cherian et al 15 revealed that among 59 patients, higher ROX index within 4 days of the institution of awake PP may help identify patients who would not need IMV However, they did not demonstrate any cut-off value for ROX index. In a secondary analysis of a randomized controlled trial comparing awake PP with the control group in patients who received HFNO, baseline low RR, an increase in ROX index after the first PP session, a decrease in lung ultrasound score and >8 h/day PP were associated with survival without intubation. 28
ROX index has been shown to be a predictor of HFNO failure in acute hypoxemic respiratory failure.13,14,29 Although Roca et al 13 revealed that ROX <3.85 was associated with treatment failure while values >4.88 predicted treatment success in ARF due to pneumonia before the pandemic, in a meta-analysis of Junhai et al 28 the cut-off values were reported to change from 2.7 to 9.2. In the study by Downing et al 12 ROX index at triage and 24 h later were 9.9 and 4.6, respectively, in intubated patients, whereas in non-intubated patients the corresponding values were 15.9 and 15.7. Vega et al 29 revealed a cut-off value of 5.99 at 12 h predicting intubation in patients receiving HFNO outside the ICU setting. In an another study, ROX index at 24 h with a cut-off point of 5.35 predicts HFNC success in patients with SARS-Cov-2-induced ARF. 30 Colaianni-Alfonso et al 31 revealed a cut-off value of 6.64 having the -highest sensitivity and specificity and AUC values for continuous positive airway pressure (CPAP) treatment failure 24 h after CPAP. Therefore, dynamic (rather than single-point static) evaluation of the ROX index could represent an accurate method for treatment failure, 32 and different cut-off values could be used in different settings.
This study has some limitations. First, it is difficult to generalize the results as this study is a retrospective single-center study with limited number of patients and no control group. As we have analyzed the effect of the first PP, the optimum duration and the frequency of PP could not be determined. In addition, timing of recording variables during PP could not be standardized because there was not any protocol for duration and timing of PP. As patients had received different adjunctive respiratory support such as conventional O2, HFNO, and/or NIV, it is difficult to assess the sole effect of PP. There are many more variables which might be related to intubation which were not considered in this study. Measurements of work of breathing are lacking, however these are difficult to use at the bedside especially in the pandemic. Nevertheless, this study is important as there are few studies investigating predictors for intubation during awake PP in severe COVID-19 patients.
Conclusions
In conclusion, improvement in oxygenation during awake PP is transient, improvement in RR does not discriminate patients who need intubation from those who do not. However, in patients who received awake PP, ROX is a promising index for determining patients with lower risk of progressing to mechanical ventilation with intubation.
Footnotes
Authors’ Contributions
EOE analyzed and interpreted the patient, did analysis of data, wrote the manuscript; BE: collected patient data. BH was a major contributor in writing the manuscript. GG analyzed the data; MY collected data; ITG analyzed the data; NYK collected data; AT was a major contributor in writing the manuscript. All authors read and approved the final manuscript.
Availability of Data and Materials
The datasets generated and/or analyzed during the current study are not publicly available It is not appropriate to share because it is hospital and patient data and important for patient privacy. But are available from the corresponding author on reasonable request.
Consent for Publication
Not applicable.
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Ethics Approval
The study protocol was approved by the University's Ethics Committee (GO:20-1013, NOV 3 2020).
Funding
The author(s) received no financial support for the research, authorship, and/or publication of this article.
