Skip to main content

Noninvasive ventilation in COVID-19 patients aged ≥ 70 years—a prospective multicentre cohort study

Abstract

Background

Noninvasive ventilation (NIV) is a promising alternative to invasive mechanical ventilation (IMV) with a particular importance amidst the shortage of intensive care unit (ICU) beds during the COVID-19 pandemic. We aimed to evaluate the use of NIV in Europe and factors associated with outcomes of patients treated with NIV.

Methods

This is a substudy of COVIP study—an international prospective observational study enrolling patients aged ≥ 70 years with confirmed COVID-19 treated in ICU. We enrolled patients in 156 ICUs across 15 European countries between March 2020 and April 2021.The primary endpoint was 30-day mortality.

Results

Cohort included 3074 patients, most of whom were male (2197/3074, 71.4%) at the mean age of 75.7 years (SD 4.6). NIV frequency was 25.7% and varied from 1.1 to 62.0% between participating countries. Primary NIV failure, defined as need for endotracheal intubation or death within 30 days since ICU admission, occurred in 470/629 (74.7%) of patients. Factors associated with increased NIV failure risk were higher Sequential Organ Failure Assessment (SOFA) score (OR 3.73, 95% CI 2.36–5.90) and Clinical Frailty Scale (CFS) on admission (OR 1.46, 95% CI 1.06–2.00). Patients initially treated with NIV (n = 630) lived for 1.36 fewer days (95% CI − 2.27 to − 0.46 days) compared to primary IMV group (n = 1876).

Conclusions

Frequency of NIV use varies across European countries. Higher severity of illness and more severe frailty were associated with a risk of NIV failure among critically ill older adults with COVID-19. Primary IMV was associated with better outcomes than primary NIV.

Clinical Trial Registration NCT04321265, registered 19 March 2020, https://clinicaltrials.gov.

Introduction

Coronavirus disease 2019 (COVID-19) led to an unprecedented disruption of everyday life and insufficiency of healthcare systems around the world [1]. As a result, tremendous efforts were made by researchers to elucidate the disease pathophysiology, find effective treatments, and develop vaccines [2,3,4,5]. COVID-19 typically involves the respiratory system and may lead to an acute respiratory distress syndrome (ARDS) with a poor prognosis and frequent need for invasive mechanical ventilation [6]. It is estimated that approximately 9% of hospitalized patients become critically ill and require transfer to an intensive care unit (ICU) [7]. Unfortunately, the sheer volume of the most severely ill patients repeatedly led to an overload of ICUs. As a consequence, the management of severe hypoxemic acute respiratory failure (ARF) required an adjustment to the reality of the global pandemic.

According to the current guidelines, the primary method of respiratory support in patients with ARDS is invasive mechanical ventilation (IMV). Conversely, noninvasive ventilation (NIV) is reserved for selected patients with mild ARDS. It should be used with caution and in constant preparedness for endotracheal intubation [8]. However, due to the shortage of available ICU beds, a significant proportion of COVID-19 patients with ARDS have been treated with noninvasive methods, including high-flow oxygen therapy and noninvasive ventilation, often outside the ICU [9,10,11]. This approach was based on available evidence of reduced intubation and mortality rates in patients with hypoxemic non-hypercapnic ARF treated with NIV [12].

Due to multimorbidity and frailty, critically ill elderly patients have a particularly poor prognosis [13]. Similar analyses among patients with COVID-19 confirmed that increasing age and degree of frailty are related to worse outcomes in this population [14]. Compared to NIV, endotracheal intubation and IMV are associated with more discomfort and a higher risk of complications, e.g., ventilator-associated pneumonia. Hence, NIV may be a particularly appealing therapeutic option in elderly patients with COVID-19, including those with the “do not intubate” order. The available evidence suggests that NIV is superior to high-flow nasal oxygen therapy (HFNOT) and conventional oxygen therapy in terms of decreasing 30-day intubation rate in these patients, although no effect on mortality was observed [15, 16]. To date, there are no large-scale studies describing the use of NIV among old patients in Europe and evaluating outcomes in this clinical context.

This substudy of the COVIP study aimed to describe the use of NIV in critically ill older adults with COVID-19 admitted to European ICUs. Moreover, we attempted to assess the outcomes in patients treated with NIV, identify risk factors for NIV failure, and compare the effects of primary NIV and primary IMV in this population.

Methods

Study design

This is a substudy of the COVIP study, an international prospective cohort study that recruited patients aged ≥ 70 years with confirmed COVID-19 admitted to the ICU. The COVIP study aims to assess outcomes and factors associated with the outcomes in the population of elderly ICU patients with COVID-19. It is a part of the Very old Intensive Care Patients (VIP) research network, which includes critical care physicians and researchers from around the world and is focused on investigating the management and outcomes of VIPs [14, 17]. Patients included in this substudy were recruited in 156 centres from 15 countries between March 2020 and April 2021. Detailed information about participating countries and number of enrolled patients is summarized in Table 1. National study coordinators were responsible for gaining local ethical permission, supervision of patient recruitment, and recruitment of ICUs. Ethical consent procedures were highly variable across participating countries (Additional file 1: Table S1). The study was performed in accordance with the Declaration of Helsinki and its amendments.

Table 1 Noninvasive ventilation rate and application across included countries

Study population and data collection

The COVIP study included patients admitted to the ICU and aged ≥ 70 years in whom SARS-CoV2 infection was confirmed using reverse transcription-polymerase chain reaction (RT-PCR). Should a patient be previously enrolled in the COVIP study, he or she would not be recruited again upon transfer, readmission or for any other circumstance.

Information about patients was gathered using electronic case report forms. The date of the ICU admission was labeled as day 1, and all dates were numbered sequentially from that day on. The study personnel gathered detailed clinical data on each patient, including baseline demographic and clinical characteristics (see definitions of comorbidities in Additional file 1: Table S2), Sequential Organ Failure Assessment (SOFA), and Clinical Frailty Scale (CFS) scores at admission. Based on the CFS score, patients were categorized as fit (1–3 points), vulnerable (4 points) or frail (5–9 points). We additionally gathered information about NIV (day of initiation and duration) and invasive ventilation (day of intubation and duration of IMV). Patients were included in the primary NIV group when NIV was the initial mechanical ventilation modality. At the same time, patients in whom IMV was introduced as the first respiratory support were included in the primary IMV group.

The patients were followed-up throughout the hospitalization and up to three months after admission to the ICU. The primary endpoint for this substudy was mortality within 30 days from admission to the ICU. The secondary endpoint was NIV failure defined as death or need for intubation within 30 days of admission to the ICU.

Statistical analysis

We presented categorical variables as numbers (percentages) and we compared them using the Chi2 test, while continuous variables were presented as medians with interquartile ranges (IQR) and compared using the Mann–Whitney test. Comparisons of crude mortality between study groups were performed using the log-rank test and were visualized using the Kaplan–Meier curves.

Multivariable analysis of the association between pre-intubation NIV duration and 30-day mortality was performed using logistic regression. It included all-cause mortality at 30 days as dependent variable and the interval from NIV initiation to intubation in days treated as a continuous variable as well as the set of the following independent variables selected according to available literature and expert knowledge: number of days hospitalized prior to ICU admission, age, sex, body mass index (BMI), SOFA score on admission, CFS score on admission, hypertension, ischaemic heart disease [IHD], diabetes, chronic pulmonary disease, chronic kidney disease, congestive heart failure. The linear association between the pre-intubation NIV duration and 30-day mortality was later presented graphically.

Evaluation of factors associated with NIV failure was performed using logistic regression with NIV failure as a dependent variable and same set of independent variables as in the model mentioned above. We performed a sensitivity analysis for which we excluded patients in whom decision to withhold or withdraw life-sustaining treatment was made within 2 days since admission to the ICU. Finally, we assessed intubation rate and factors associated with it in a subgroup of patients from the primary NIV group in whom LST limitation was not introduced during the NIV therapy period.

To compare survival in the primary NIV and the primary IMV groups, we performed a multivariable survival analysis using restricted mean survival time adjusted for the limitation of life-sustaining therapies (LST) during the hospitalization and the above mentioned set of independent variables. For the comparison of 30-day mortality between the primary NIV and the primary IMV groups we performed two separate sensitivity analyses: (1) after exclusion of patients in whom LST limitation was not introduced during the initial respiratory treatment, and (2) after exclusion of patients in whom LST limitation was introduced within 30 days since the ICU admission.

This was a complete case analysis. Data missingness maps for each model are presented in Additional file 1: Figure S1. A two-sided p-value < 0.05 was considered statistically significant. Statistical analyses were performed using the R 4.1.0 software (R Development Core Team, Vienna, Austria).

Results

Characteristics of the study sample

The cohort of this COVIP substudy comprised 3158 critically ill patients recruited in 156 centres across 15 countries. All analyses were performed among patients with complete 30-day follow-up (3074/3158, 97.3%). The study flowchart is presented in Fig. 1. The mean age was 75.7 (SD 4.6) years, and most of the patients were male (2197/3074, 71.4%). The median SOFA score at admission was 5 (IQR 3–8). Based on the CFS score patients were classified as fit (67.0%), vulnerable (15.6%) and frail (17.4%). The baseline characteristics of the study group are presented in Table 2.

Fig. 1
figure 1

Study flowchart

Table 2 Cohort characteristics

Noninvasive ventilation application across included countries

Noninvasive ventilation was used in 791 (25.7%) patients. NIV was used as a primary mechanical ventilation modality in 630 (79.6%) patients and as post-extubation respiratory support in 157 (19.8%) patients, while the day of NIV introduction was unknown in 4 patients (0.5%). The frequency of NIV use varied significantly across included countries and ranged from 1.1% (95% CI 0.1–4.1%) in Belgium to 62.0% (95% CI 47.2–75.4%) in Wales. NIV was used more commonly as primary therapy in all countries, but the distribution of NIV application differed depending on the country. We did not observe any evident temporal trend in the frequency of NIV in the study period (Additional file 1: Figure S2). Detailed information about the frequency and indications for NIV across participating countries is summarized in Table 1.

In the primary NIV group noninvasive ventilation was initiated on day 1.0 (IQR 1.0–1.0) and the median duration of NIV therapy was 33.5 h (12.75–72.0). The histograms of the day of NIV initiation and the duration of NIV therapy are presented in Additional file 1: Figure S3.

Clinical outcomes

Mortality at 30 days was 52.9% (333/630) in the primary NIV group and 14.0% (22/157) in the post-extubation NIV group. Among the 630 patients primarily treated with NIV, 330 (52.4%) patients eventually required invasive mechanical ventilation at a median 1.0 (0.0–3.0) days from the initiation of NIV. Among patients primarily treated with NIV, we did not find sufficient evidence for a difference in 30-day mortality between patients who eventually required endotracheal intubation and the remaining patients (58.2 vs. 47.0%, log-rank p = 0.32). The Kaplan–Meier curve for this comparison is presented in Additional file 1: Figure S4. The association between the duration of NIV and 30-day mortality in patients who eventually required intubation is visualized in Fig. 2.

Fig. 2
figure 2

Association between pre-intubation NIV duration and 30-day mortality. Black line represents OR point estimate across NIV duration prior to endotracheal intubation, while grey areas depicts 95% confidence interval

Factors associated with NIV failure

NIV failure, defined as endotracheal intubation or death within 30 days since ICU admission, occurred in 470/629 (74.7%) of patients primarily treated with NIV (date of intubation was unknown for one patient). Univariate comparison of these groups is summarized in Additional file 1: Table S3. A multivariable analysis revealed that higher SOFA score at admission (OR 3.73, 95% CI 2.36–5.90, p < 0.001) and higher baseline CFS (OR 1.46, 95% CI 1.06–2.00, p = 0.02) were associated with a higher risk for NIV failure, while hypertension was linked to lower odds of NIV failure (OR 0.50, 95% CI 0.31–0.81, p = 0.005). For a sensitivity analysis, we excluded patients in whom the decision to withhold or withdraw life-sustaining treatment was made within 2 days since admission to the ICU. This analysis revealed a NIV failure rate accounting to 74.1% (403/544) and showed its association with a higher SOFA score on admission (OR 3.38, 95% CI 2.10–5.46, p < 0.001) and hypertension (OR 0.58, 95% CI 0.35–0.96, p = 0.034). Finally, among patients in the primary NIV group in whom LST limitation was not introduced during the initial NIV treatment, the intubation rate was 67.4% (329/488) and was associated with the baseline SOFA score (OR 2.56, 95% CI 1.82–3.59, p < 0.001) and age (0.70, 95% CI 0.49–0.99, p = 0.044). Additional file 1: Table S4 presents the mortality, NIV failure rate, and intubation rate stratified by the duration of primary NIV.

Primary NIV vs. primary IMV and 30-day mortality

Noninvasive ventilation and invasive ventilation were used as primary ventilation modality in 630 and 1876 patients, respectively. Compared to patients initially treated with IMV, patients in the primary NIV group were older (76.8 vs. 75.1, p < 0.001), more frequently frail (24.8 vs. 13.7%, p < 0.001), more commonly had diabetes (38.4 vs. 32.5%, p = 0.009), IHD (25.5 vs. 20.5%, 0.01), chronic renal failure (21.4 vs. 13.3%, p < 0.001), chronic pulmonary disease (25.4 vs. 21.4%, p = 0.044), congestive heart failure (16.8 vs. 13.3%, p = 0.034) and had a lower SOFA score on admission (4 vs 7, p < 0.001). Life-sustaining treatment was withheld more commonly in the primary NIV group (36.3 vs. 29.5%, p = 0.002) and withdrawn similarly often in both groups (24.0 vs. 22.5%, p = 0.495). The distribution of LST limitation timing is presented in Additional file 1: Figure S5. Detailed univariate comparison of the groups is presented in Additional file 1: Table S5. We found a significantly lower crude 30-day mortality in the primary IMV group compared to the primary NIV group (47.7 vs. 52.9%, log-rank p = 0.003) (Fig. 3). A multivariable restricted mean survival time analysis revealed that in the 30-day follow-up patients in the primary NIV group lived for 1.36 fewer days (95% CI − 2.27 to − 0.46 days, p = 0.003) compared to the patients in the primary IMV group.

Fig. 3
figure 3

Kaplan–Meier curve for comparison of 30-day mortality between primary NIV and primary IMV group

We performed two sensitivity analyses to account for LST limitation in these groups. The first sensitivity analysis revealed that, after exclusion of patients in whom LST limitation was introduced during the initial respiratory treatment (i.e., during NIV in the primary NIV group and during IMV in the primary IMV group), 30-day mortality in the primary NIV was higher than in the primary IMV group (43.2 vs. 29.5%, log-rank p < 0.001). For the second sensitivity analysis, we excluded all patients in whom LST limitation was introduced within 30 days since the ICU admission. It suggested a lack of association between the modality of the initial respiratory support and 30-day mortality (28.0 vs. 29.5%, log-rank p < 0.55). The Kaplan–Meier curves for these comparisons are presented in Additional file 1: Figure S6.

Discussion

This prospective observational study of more than 3000 patients aged ≥ 70 years old hospitalized in the ICU due to severe COVID-19 showed that the use of NIV in this population is highly variable in Europe and is associated with high failure and mortality rates. A longer time to intubation in patients requiring escalation from NIV to IMV was associated with an increased 30-day mortality. Finally, a comparison of initial respiratory support strategies revealed that primary IMV was associated with lower mortality compared to primary NIV.

At the moment, NIV is strongly recommended by the combined European Respiratory Society and American Thoracic Society task force in two clinical scenarios, i.e., hypercapnic ARF due to COPD exacerbation and cardiogenic pulmonary oedema [18]. Previous reports by the VIP Study Group, based on a cohort of patients aged ≥ 80 years admitted to the ICUs before the pandemic, showed that every fourth patient received NIV [19]. In the light of a universal shortage of ICU beds during the COVID-19 pandemic, NIV became a promising alternative to IMV in patients with severe hypoxemic ARF. Such approach was also justified by encouraging results of a recent Bayesian network analysis [12]. The current study showed that NIV was used in approximately a quarter of patients included in this study; however, the frequency of NIV application was highly variable across the Europe. This is in line with previous reports revealing significant international variation in management of ARF in the course of COVID-19 [20]. The presented inter-country differences are multifactorial and are probably related to local availability of ICU beds, presence of intermediate care units, and national management strategies. The clinical relevance of noninvasive respiratory strategies increased significantly during COVID-19 due to a dramatic increase in the number of hypoxemic ARF cases. On the one hand, the main idea behind the implementation of NIV in this clinical scenario was to avoid intubation and admission to the ICU. On the other hand, the high failure rate raised concerns that NIV may only delay endotracheal intubation and potentially worsen patients outcomes [21, 22]. Other potentially alarming aspects of NIV application in patients with hypoxemic ARF due to COVID-19 included the risk of self-inflicted lung injury secondary to large tidal volumes as well as the generation of aerosol increasing the risk of nosocomial infections [23]. Our study confirmed that more than half of patients initially treated with NIV eventually required endotracheal intubation and NIV failure, defined as intubation or death within 30 days since the NIV initiation, was observed in almost 75% of the cases. In comparison, the primary outcome, including intubation or death in the continuous positive airway pressure (CPAP) group of the RECOVERY RS trial, occurred in 36.3% of the patients, and 28-day mortality and intubation rate in the helmet NIV group of the HENIVOT trial were 15% and 30%, respectively [15, 16]. This discrepancy may be largely attributed to older age, a higher number of comorbidities, more frequent coexistence of frailty, and greater severity of the disease expressed as a higher SOFA score at admission in the COVIP study sample. Nevertheless, such a high NIV failure rate was expected since elderly ICU patients have a particularly grim prognosis [24]. Therefore, in order to avoid unnecessary invasive procedures and futile suffering of the patients, LST limitations are commonly introduced during hospitalization. In our study, any form of LST limitation (withhold or withdrawal) was applied at some point of hospitalization in more than 40% of cases. This proportion is markedly higher compared to a cohort of merged VIP1 and VIP2 studies in which therapy limitation was introduced in 32% of patients [19, 25]. We believe that this difference is yet another consequence of the ICUs being overflown by a staggering number of critically ill patients during the ongoing pandemic [26]. As a result, more advanced treatment modalities such as IMV and extracorporeal membrane oxygenation became reserved for younger and healthier patients with a more favourable prognosis.

Despite years of research, the risk factors for NIV failure remain unclear. Most of the evidence on this issue is based on low-quality studies concerning predominantly hypercapnic ARF [27,28,29]. Some interesting insights were offered by a prospective observational study including over 1800 patients with ARF due to influenza, which suggested an increasing SOFA score as a predictor of NIV failure [30]. In our study increasing baseline SOFA score was related to higher risk of NIV failure as well as higher intubation rate in patients without LST limitation during the primary NIV therapy. Additionally, we revealed an association between an increasing degree of frailty and the risk of NIV failure. This is consistent with previous studies describing the impact of frailty on outcomes in elderly patients admitted to the ICU [14, 19].

It is crucial for a clinician not to cause harm while trying to avoid intubation by using NIV. In general, the use of NIV is restricted to mild ARDS with a success rate of 78%, decreasing to 58% and 53% for moderate and severe ARDS [21]. Our analysis of the association between the duration of NIV before intubation and 30-day mortality revealed a poorer prognosis in a subgroup of patients in whom NIV duration exceeded 3 days. It suggests that clinicians should reevaluate patients in terms of indications for intubation early in the course of NIV therapy when there are no signs of improvement. This could potentially prevent excessive delays in intubation and therefore improve patients’ outcomes.

Taking into account the high failure rate and the well-established relation between delays in intubation and a poorer prognosis, we compared the outcomes of patients depending on an initially introduced modality of respiratory support. Survival analysis revealed that mortality was higher in patients treated primarily with NIV. Similar observation was made in a sensitivity analysis that excluded patients in whom LST was limited during NIV in the primary NIV group and during IMV in the primary IMV group. However, the difference in mortality between the groups disappeared after the exclusion of all patients in whom LST limitation was introduced within 30 days since the ICU admission. Another interesting observation is similar mortality in the primary IMV group and in patients who were treated with NIV and never required intubation (47.7% and 47.0%, respectively) and markedly higher mortality in patients who required intubation after the initial NIV trial (58.2%). On the one hand, these results are not very surprising because NIV is a suboptimal therapy for the majority of ARDS cases according to the current guidelines and its application in this clinical scenario is a last resort for elderly patients who would likely not be qualified for intubation under pandemic circumstances. On the other hand, the results of the second sensitivity analysis suggest that both primary NIV and primary IMV may be associated with a similar survival rate in elderly critically ill COVID-19 patients when LST limitation is not considered.

The main strengths of this paper include an international multicentre character of the study and a relatively large sample of a very specific population. Moreover, the small amount of missing data on 30-day mortality increases the credibility of our findings. We are aware of several limitations of this article. First, some details concerning NIV technique were not gathered i.e., type of interface (face mask vs. helmet) and mode of ventilation (CPAP vs. bi-level). Second, we did not gather data on HFNOT, an option increasingly used in patients with respiratory failure before tracheal intubation and IMV. Third, participating countries are probably largely heterogenous in terms of intubation criteria, which likely affects our results in a significant way. Fourth, we did not collect any physiological or clinical data describing the initial response of patients to NIV therapy, which could potentially provide very valuable information, particularly in terms of risk factors for NIV failure. Finally, potentially important data on the pre-ICU disease trajectory was not collected. Therefore, we were unable to determine whether and for how long NIV or HFNOT were used before admission to the ICU.

Conclusions

In conclusion, NIV is used in approximately one in four elderly patients with COVID-19 treated in the European ICU, and its use varies significantly across the European countries. Initial application of NIV was associated with a high risk of failure and increased mortality compared to patients in whom IMV was the first mechanical ventilation modality. In addition, we found evidence of the association between higher SOFA and CFS scores and an increased risk of NIV failure. Finally, among patients primarily treated with NIV who eventually required IMV, delay in endotracheal intubation was associated with increased 30-day mortality. Careful monitoring during the first days of NIV is essential to ensure that patients showing no sign of improvement from NIV, who are expected to benefit from an escalation to IMV, are offered endotracheal intubation promptly.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

ARDS:

Acute respiratory distress syndrome

ARF:

Acute respiratory failure

CFS:

Clinical Frailty Scale

COVID-19:

Coronavirus disease 2019

HFNOT:

High-flow nasal oxygen therapy

ICU:

Intensive care unit

IHD:

Ischaemic heart disease

IMV:

Invasive mechanical ventilation

NIV:

Noninvasive ventilation

IQR:

Interquartile ranges

LST:

Life-sustaining therapies

RT-PCR:

Reverse transcription polymerase chain reaction

SOFA:

Sequential organ failure assessment

VIP:

Very old intensive care patients

References

  1. Blumenthal D, Fowler EJ, Abrams M, Collins SR. Covid-19—implications for the health care system. N Engl J Med. 2020;383(15):1483–8. https://doi.org/10.1056/NEJMsb2021088.

    CAS  Article  PubMed  Google Scholar 

  2. Sterne JAC, Murthy S, Diaz JV, Slutsky AS, Villar J, Angus DC, et al. Association between administration of systemic corticosteroids and mortality among critically Ill patients with COVID-19: a meta-analysis. J Am Med Assoc. 2020;324(13):1330–41.

    CAS  Article  Google Scholar 

  3. Group TWHOREA for C-19 T (REACT) W. Association between administration of IL-6 antagonists and mortality among patients hospitalized for COVID-19: a meta-analysis. JAMA. 2021;326(6):499–518. https://doi.org/10.1001/jama.2021.11330.

    CAS  Article  Google Scholar 

  4. Barda N, Dagan N, Ben-Shlomo Y, Kepten E, Waxman J, Ohana R, et al. Safety of the BNT162b2 mRNA Covid-19 vaccine in a nationwide setting. N Engl J Med. 2021;385(12):1078–90. https://doi.org/10.1056/NEJMoa2110475.

    CAS  Article  PubMed  Google Scholar 

  5. Osuchowski MF, Winkler MS, Skirecki T, Cajander S, Shankar-Hari M, Lachmann G, et al. The COVID-19 puzzle: deciphering pathophysiology and phenotypes of a new disease entity. Lancet Respir Med. 2021;9(6):622–42. https://doi.org/10.1016/S2213-2600(21)00218-6.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  6. McGonagle D, Bridgewood C, Meaney JFM. A tricompartmental model of lung oxygenation disruption to explain pulmonary and systemic pathology in severe COVID-19. Lancet Respir Med. 2021;9(6):665–72. https://doi.org/10.1016/S2213-2600(21)00213-7.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  7. Docherty AB, Mulholland RH, Lone NI, Cheyne CP, De Angelis D, Diaz-Ordaz K, et al. Changes in in-hospital mortality in the first wave of COVID-19: a multicentre prospective observational cohort study using the WHO Clinical Characterisation Protocol UK. Lancet Respir Med. 2021;9(7):773–85. https://doi.org/10.1016/S2213-2600(21)00175-2.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  8. Fernando SM, Ferreyro BL, Urner M, Munshi L, Fan E. Diagnosis and management of acute respiratory distress syndrome. Can Med Assoc J. 2021;193(21):E761–8.

    Article  Google Scholar 

  9. Xu W, Sun N-N, Gao H-N, Chen Z-Y, Yang Y, Ju B, et al. Risk factors analysis of COVID-19 patients with ARDS and prediction based on machine learning. Sci Rep. 2021;11(1):2933. https://doi.org/10.1038/s41598-021-82492-x.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  10. Reyes LF, Murthy S, Garcia-Gallo E, Irvine M, Merson L, Martin-Loeches I, et al. Clinical characteristics, risk factors and outcomes in patients with severe COVID-19 registered in the International Severe Acute Respiratory and Emerging Infection Consortium WHO clinical characterisation protocol: a prospective, multinational, multicentre, observational study. ERJ Open Res. 2022;8(1):552–2021.

    Article  Google Scholar 

  11. Cammarota G, Esposito T, Azzolina D, Cosentini R, Menzella F, Aliberti S, et al. Noninvasive respiratory support outside the intensive care unit for acute respiratory failure related to coronavirus-19 disease: a systematic review and meta-analysis. Crit Care. 2021;25(1):268. https://doi.org/10.1186/s13054-021-03697-0.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Ferreyro BL, Angriman F, Munshi L, Del Sorbo L, Ferguson ND, Rochwerg B, et al. Association of noninvasive oxygenation strategies with all-cause mortality in adults with acute hypoxemic respiratory failure: a systematic review and meta-analysis. JAMA. 2020;324(1):57–67. https://doi.org/10.1001/jama.2020.9524.

    CAS  Article  PubMed  Google Scholar 

  13. Fronczek J, Polok K, de Lange DW, Jung C, Beil M, Rhodes A, et al. Relationship between the Clinical Frailty Scale and short-term mortality in patients ≥ 80 years old acutely admitted to the ICU: a prospective cohort study. Crit Care. 2021;25(1):231. https://doi.org/10.1186/s13054-021-03632-3.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Jung C, Flaatten H, Fjølner J, Bruno RR, Wernly B, Artigas A, et al. The impact of frailty on survival in elderly intensive care patients with COVID-19: the COVIP study. Crit Care. 2021;25(1):149. https://doi.org/10.1186/s13054-021-03551-3.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Perkins GD, Ji C, Connolly BA, Couper K, Lall R, Baillie JK, et al. An adaptive randomized controlled trial of non-invasive respiratory strategies in acute respiratory failure patients with COVID-19. medRxiv. 2021;2021.08.02.21261379

  16. Grieco DL, Menga LS, Cesarano M, Rosà T, Spadaro S, Bitondo MM, et al. Effect of helmet noninvasive ventilation vs high-flow nasal oxygen on days free of respiratory support in patients with COVID-19 and moderate to severe hypoxemic respiratory failure: the HENIVOT randomized clinical trial. JAMA. 2021;325(17):1731–43. https://doi.org/10.1001/jama.2021.4682.

    CAS  Article  PubMed  Google Scholar 

  17. Van HPV, Beil M, Guidet B, Sviri S, Jung C, De LD, et al. A new multi-national network studying very old intensive care patients. Anaesiol Intensive Ther. 2021;53(4):1–6.

    Google Scholar 

  18. Rochwerg B, Brochard L, Elliott MW, Hess D, Hill NS, Nava S, et al. Official ERS/ATS clinical practice guidelines: noninvasive ventilation for acute respiratory failure. Eur Respir J. 2017;50(2):1602426.

    Article  Google Scholar 

  19. Guidet B, de Lange DW, Boumendil A, Leaver S, Watson X, Boulanger C, et al. The contribution of frailty, cognition, activity of daily life and comorbidities on outcome in acutely admitted patients over 80 years in European ICUs: the VIP2 study. Intensive Care Med. 2020;46(1):57–69. https://doi.org/10.1007/s00134-019-05853-1.

    CAS  Article  PubMed  Google Scholar 

  20. Azoulay E, de Waele J, Ferrer R, Staudinger T, Borkowska M, Povoa P, et al. International variation in the management of severe COVID-19 patients. Crit Care. 2020;24(1):486. https://doi.org/10.1186/s13054-020-03194-w.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Bellani G, Laffey JG, Pham T, Madotto F, Fan E, Brochard L, et al. Noninvasive ventilation of patients with acute respiratory distress syndrome. Insights from the LUNG SAFE Study. Am J Respir Crit Care Med. 2016;195(1):67–77. https://doi.org/10.1164/rccm.201606-1306OC.

    Article  Google Scholar 

  22. Carteaux G, Millán-Guilarte T, De Prost N, Razazi K, Abid S, Thille AW, et al. Failure of noninvasive ventilation for de novo acute hypoxemic respiratory failure: role of tidal volume*. Crit Care Med. 2016;44(2):282–90.

    Article  Google Scholar 

  23. Ute Muti-Schüenemann GE, Szczeklik W, Solo K, Khabsa J, Thomas R, Borowiack E, et al. Update Alert 3: ventilation techniques and risk for transmission of coronavirus disease, including COVID-19. Ann Intern Med. 2021. https://doi.org/10.7326/L21-0424.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Mayerhöfer T, Klein SJ, Peer A, Perschinka F, Lehner GF, Hasslacher J, et al. Changes in characteristics and outcomes of critically ill COVID-19 patients in Tyrol (Austria) over 1 year. Wien Klin Wochenschr. 2021;133(23):1237–47. https://doi.org/10.1007/s00508-021-01945-5.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  25. Fronczek J, Polok K, Nowak-Kózka I, Wludarczyk A, Górka J, Czuczwar M, et al. Frailty increases mortality among patients = 80 years old treated in Polish ICUs. Anaesthesiol Intensive Ther. 2018;50(4).

  26. Jung C, Flaatten H, de Lange D, Beil M, Guidet B. The relationship between treatment limitations and pressure on intensive care units in elderly patients. Intensive Care Med. 2022;48(1):124–5. https://doi.org/10.1007/s00134-021-06553-5.

    Article  PubMed  Google Scholar 

  27. Duan J, Wang S, Liu P, Han X, Tian Y, Gao F, et al. Early prediction of noninvasive ventilation failure in COPD patients: derivation, internal validation, and external validation of a simple risk score. Ann Intensive Care. 2019;9(1):108. https://doi.org/10.1186/s13613-019-0585-9.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Ferreira C, Dias C, Mendes M, Moita J. Predictors of failure of noninvasive ventilation (NIV) in acute respiratory failure due to chronic obstructive pulmonary disease. Eur Respir J. 2013;42(Suppl 57):P2492.

    Google Scholar 

  29. Ozyilmaz E, Ugurlu AO, Nava S. Timing of noninvasive ventilation failure: causes, risk factors, and potential remedies. BMC Pulm Med. 2014;14(1):19. https://doi.org/10.1186/1471-2466-14-19.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Rodríguez A, Ferri C, Martin-Loeches I, Díaz E, Masclans JR, Gordo F, et al. Risk factors for noninvasive ventilation failure in critically ill subjects with confirmed influenza infection. Respir Care. 2017;62(10):1307–15.

    Article  Google Scholar 

Download references

Acknowledgments

COVIP Study Group Philipp Eller: Allgemeine Medizin Intensivstation, Medical University Graz, Graz, Austria; Michael Joannidis: Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck, Innsbruck, Austria; Dieter Mesotten: Department of Intensive Care, Ziekenhuis Oost-Limburg, Genk, Belgium; Pascal Reper: Department of Intensive Care, CHR Haute Senne, Soignies, Belgium; Sandra Oeyen: Department of Intensive Care, Ghent University Hospital, Ghent, Belgium; Walter Swinnen: Department of Intensive Care, AZ Sint-Blasius, Dendermonde, Belgium; Helene Brix: Intensiv Behandling, Herlev og Gentofte Hospital, Herlev, Denmark; Jens Brushoej: Intensiv, Slagelse, Slagelse, Denmark; Maja Villefrance: Intensiv, Regionshospitalet Horsens, Horsens, Denmark; Helene Korvenius Nedergaard: Intensive Care Unit, Odense University Hospital, Odense, Denmark; Anders Thais Bjerregaard: Intensiv , Sygehus Lillebælt, Kolding, Denmark; Ida Riise Balleby: Intensiv, Regionshospitalet Viborg, Viborg, Denmark; Kasper Andersen: Department of Anaesthesia and Intensive Care, Sygehus Sønderjylland, Aabenraa, Denmark; Maria Aagaard Hansen: Intensiv Afdeling, Regionshospitalet Herning, Herning, Denmark; Stine Uhrenholt: Department of Anaesthesia and Intensive Care, Nordsjællands Hospital, Hillerød, Denmark; Helle Bundgaard: Intensiv, Regionshospitalet Randers, Randers, Denmark; Jesper Fjølner: Department of Intensive Care, Aarhus University Hospital, Aarhus, Denmark; Aliae AR Mohamed Hussein: Medical ICU and Isolation Centers, Assiut University Hospital, Assiut, Egypt; Rehab Salah: Cardiology ICU, One day surgery hospital, Nasr city, Egypt; Yasmin Khairy NasrEldin Mohamed Ali: MICU, Minia University Hospitals, Minia, Egypt; Kyrillos Wassim: MICU, Quweisna central hospital, Quweisna, Egypt; Yumna A. Elgazzar: MICU, Mayo Isolation Hospital, Cairo Governorate, Egypt; Samar Tharwat: Mansoura university Hospital, Temi El amdid, Mansoura, Egypt; Ahmed Y. Azzam: Alazhar University Hospitals, Cairo, Egypt; Ayman Abdelmawgoad Habib: intermediate ccu, one day surgery, nasr city, Egypt; Hazem Maarouf Abosheaishaa: MICU, Mostafa Mahmoud Specialized Hospital, Giza, Egypt; Mohammed A Azab: Sherif Mokhtar Cairo University ICU, Kar Al-Ainy Cairo University Hospital, Cairo, Egypt; Susannah Leaver: General Intensive care, St George´s University Hospitals NHS Foundation trust, London, England; Arnaud Galbois: Medico-surgical ICU, Hôpital Privé Claude Galien, Quincy sous Sénart, France; Bertrand Guidet: Medical intensive care unit, Saint Antoine, Paris, France; Cyril Charron: Medical intensive care unit, Hôpital Ambroise Paré, Boulogne Billancourt, France; Emmanuel Guerot: Medical intensive care unit, Hopital Européen Georges Pompidou, Paris, France; Guillaume Besch: Medico-surgical ICU, CHU de Besançon, Besançon, France; Jean-Philippe Rigaud: Medical intensive care unit, Dieppe General Hospital, Dieppe, France; Julien Maizel: Medical intensive care unit, CHU Amiens, Amiens, France; Michel Djibré: Medico-surgical ICU, Tenon, Paris, France; Philippe Burtin: Surgical ICU, Clinique Du Millenaire, Montpellier, France; Pierre Garcon: Medico-surgical ICU, Marne La Vallee, Jossigny, France; Saad Nseir: Medical intensive care unit, CHU Lille, Lille, France; Xavier Valette: Medical intensive care unit, CHU de Caen, Caen, France; Nica Alexandru: Medico-surgical ICU, Compiegne Noyon Hospital, Compiegne, France; Nathalie Marin: Medical intensive care unit, Cochin, Paris, France; Marie Vaissiere: Medico-surgical ICU, CH Pau, Pau, France; Gaëtan Plantefeve: Medico-surgical ICU, Victor Dupouy, Argenteuil, France; Thierry Vanderlinden: Medical intensive care unit, CH Saint Philibert, Lomme lez Lille, France; Igor Jurcisin: Medico-surgical ICU, Beaujon, Clichy, France; Buno Megarbane: Medical intensive care unit, Lariboisière, Paris, France; Anais Caillard: Surgical ICU, Lariboisière, Paris, France; Arnaud Valent: Surgical ICU, Saint-Louis, Paris, France; Marc Garnier: Surgical ICU, Saint Antoine, Paris, France; Sebastien Besset: Medico-surgical ICU, Louis Mourier, Colombes, France; Johanna Oziel: Medico-surgical ICU, Avicenne, Bobigny, France; Jean-herlé Raphalen: Medico-surgical ICU, Centre hospitalier de Versailles, Le Chesnay, France; Stéphane Dauger: Pediatric Intensive and Intermediate Care Unit, Robert Debré, Paris, France; Guillaume Dumas: Medical intensive care unit, Saint-Louis, Paris, France; Bruno Goncalves: Medico-surgical ICU, Sainte-Anne, Paris, France; Gaël Piton: Medical ICU, CHU de Besancon, Besançon, France; Eberhard Barth: Anesthesiologic Intensive Care Department, University Hospital Ulm, Ulm, Germany; Ulrich Goebel: Klinik für Anästhesie und operative Intensivmedizin, St. Franziskus-Hospital Münster, Münster, Germany; Eberhard Barth: IOI-Interdisziplinäre Operative Intensivmedizin, University Hospital Ulm, Ulm, Germany; Anselm Kunstein: MX01, Uniklinik Düsseldorf, Düsseldorf, Germany; Michael Schuster: Anästhesie-Intensivstation, Universitätsmedizin der Johannes Gutenberg-Universität Mainz, Mainz, Germany; Martin Welte: Interdiszipinaere Operative Intensivstation, Klinik fuer Anaesthesiologie und operative Intensivmedizin, Klinikum Darmstadt GmbH, Darmstadt, Germany; Matthias Lutz: Internistische Intensivstation, Uniklinik Schleswig Holstein Campus Kiel, Kiel, Germany; Patrick Meybohm: Klinik für Anästhesie und operative Intensivmedizin, University Hospital Würzburg, Würzburg, Germany; Stephan Steiner: ICU, St Vincenz, Limburg, Germany; Tudor Poerner: ITS, Marienhospital Aachen, Aachen, Germany; Hendrik Haake: Internistische Intensivstation I und II, Kliniken Maria Hilf, Mönchengladbach, Germany; Stefan Schaller: 43i, Charité - Universitätsmedizin Berlin, Berlin, Germany; Stefan Schaller: 44i, Charité - Universitätsmedizin Berlin, Berlin, Germany; Stefan Schaller: 8i, Charité - Universitätsmedizin Berlin, Berlin, Germany; Detlef Kindgen-Milles: CIA1, University Hospital Duesseldorf, Duesseldorf, Germany; Christian Meyer: Intensivstation, Evangelisches Krankenhaus Düsseldorf, Düsseldorf, Germany; Muhammed Kurt: 32, Florence-Nightingale Krankenhaus, Duesseldorf, Germany; Karl Friedrich Kuhn: 144i, Charité - Universitätsmedizin Berlin, Berlin, Germany; Winfried Randerath: Intensivpflege Bethanien, Krankenhaus Bethanien GmbH, Solingen, Solingen, Germany; Jakob Wollborn: Anaesthesiologiesche Intensivtherapiestation, Medical Center - University of Freiburg, Freiburg, Germany; Zouhir Dindane: Interdisziplinäre Intensivstation, Städtische Kliniken Mönchengladbach, Mönchengladbach, Germany; Hans-Joachim Kabitz: I01, Klinikum Konstanz, Konstanz, Germany; Ingo Voigt: Kardiologisch-internistische Intensivstation, Elisabeth-Krankenhaus Essen, Essen, Germany; Gonxhe Shala: Station 2, Johanna Etienne Krankenhaus, Neuss, Germany; Andreas Faltlhauser: Interdisziplinäre Intensivmedizin, Kliniken Nordoberpfalz AG, Klinikum Weiden, Weiden, Germany; Greece; Nikoletta Rovina: ICU 1st Department of Pulmonary Medicine Athens Medical School, National and Kapodistrian University of Athens, Sotiria Hospital, Athens, Greece; Zoi Aidoni: ICU, University General Hospital Ahepa, Thessaloniki, Greece; Evangelia Chrisanthopoulou: 2nd Department of Critical Care, University Hospital (Attikon), Haidari, Greece; Antonios Papadogoulas: ICU, General Hospital of Larissa, Larissa, Greece; Mohan Gurjar: Critical Care Medicine, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow, India; Ata Mahmoodpoor: General, Imam Reza, Tabriz, Iran; Abdullah Khudhur Ahmed: Baghdad Teaching Hospital, Baghdad, Iraq; Ireland; Brian Marsh: Department of Critical Care Medicine, Mater Misericordiae University Hospital, Dublin, Ireland; Ahmed Elsaka: Covid ICU, Cork University Hospital, Cork, Ireland; Israel; Sigal Sviri: Corona ICU, Hadassah University Medical Center, Jerusalem, Israel; Vittoria Comellini: Terapia Intensiva Respiratoria, Policlinico S. Orsola-Malpighi, Bologna, Italy; Libya; Ahmed Rabha: MICU, Askar, Suq Elkamis, Libya; Hazem Ahmed: MICU, Tripoli University Hospital, Tripoli, Libya; Mexico; Silvio A Namendys-Silva: Department of Critical Care Medicine, Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran, Mexico City, Mexico; Morocco; Abdelilah Ghannam: Service de Réanimation - Institut National d´Oncologie, CHU Ibn Sina de Rabat, Rabat, Morocco; Martijn Groenendijk, ICU Department, Alrijne Zorggroep, Leiderdorp, The Netherland; Marieke Zegers, Intensive Care department Radboudumc, Radboudumc, Nijmegen, The Netherland; Dylan de Lange, ICU departement, UMC Utrecht, Utrecht, The Netherland; Alex Cornet, Intensive Care Center, Medisch Spectrum Twente, Enschede, The Netherland; Mirjam Evers, ICU Department, Canisius Wilhelmlina Ziekenhuis, Nijmegen, The Netherland; Lenneke Haas, Intensive care, Diakonessenhuis Utrecht, Utrecht, The Netherland; Tom Dormans, Zuyderland Heerlen, Zuyderland Medical Center, Heerlen, The Netherland; Willem Dieperink, Department of Critical Care, University Medical Center Groningen, Groningen, The Netherland; Luis Romundstad: Department of Critical Care and Emergencies, Oslo University Hospital, Rikshospitalet Medical, Oslo, Norway; Britt Sjøbø: General ICU, Haukeland University Hospital, Bergen, Norway; Finn H. Andersen: Dept. Anesthesia and Intensive Care, Surgical ICU, Ålesund Hospital, Ålesund, Norway; Hans Frank Strietzel: ICU, Kristiansund Hospital Helse Møre og Romsdal HF, Kristiansund N, Norway; Theresa Olasveengen: Surgical ICU, Oslo University Hospital, Oslo, Norway; Michael Hahn: ICU, Haugesund Hospital, Haugesund, Norway; Miroslaw Czuczwar: II Department of Anesthesiology and Intensive Care, First Independent Teaching Hospital No. 1, Lublin, Poland; Ryszard Gawda: Department of Anesthesiology and Intensive Care, Opole University Hospital, Opole, Poland; Jakub Klimkiewicz: COVID-19 ICU, Military Institute of Medicine, Warsaw, Poland; Maria de Lurdes Campos Santos: Infectious Diseases ICU, Centro Hospitalar e Universitário São João, Porto, Portugal; André Gordinho: Serviço de Medicina Intensiva, Hospital de Beatriz Ângelo, Loures, Portugal; Henrique Santos: D, Centro Hospitalar Tráz os Montes e Alto Dour, Vila Real, Portugal; Rui Assis: Serviço de Medicina Intensiva, Centro Hospitalar do Médio Tejo, Abrantes, Portugal; Ana Isabel Pinho Oliveira: Unidade de Cuidados Intensivos Polivalente, Centro Hospitalar de Tondela-Viseu, EPE, Viseu, Portugal; Saudi Arabia; Mohamed Raafat Badawy: MICU, Fundeni Clinical Institute, Jeddah, Saudi Arabia; Spain; David Perez-Torres: UVI Polivalente y Coronaria, Hospital Universitario Río Hortega, Valladolid, Spain; Gemma Gomà: Intensive Care Department, Corporacion Sanitaria Universitaria Parc Tauli, Sabadell, Spain; Mercedes Ibarz Villamayor: Intensive Care Unit, Hospital Universitario Sagrado Corazon, Barcelona, Spain; Angela Prado Mira: Intensive Care Unit, Hospital General Universitario de Albacete, Albacete, Spain; Patricia Jimeno Cubero: ICU Segovia, Complejo Hospitalario de Segovia, Segovia, Spain; Susana Arias Rivera: Intensive Care and Burn Unit, Universitario de Getafe, Getafe, Spain; Teresa Tomasa: General ICU, Germans Trias i Pujol Hospital, Badalona, Spain; David Iglesias: UCI Burgos, Hospital Universitario de Burgos, Burgos, Spain; Eric Mayor Vázquez: Unidad de Cuidados Intensivos, Hospital de Tortosa Verge de la Cinta, Tortosa, Spain; Cesar Aldecoa: Reanimación Quirurgica, Hospital Universitario Rio Hortega, Valladolid, Spain; Aida Fernández Ferreira: Servicio de Medicina Intensiva CHUVI, Hospital Alvaro Cunqueiro, Vigo, Spain; Begoña Zalba-Etayo: Unidad de Cuidados Intensivos, Clínico Universitario Lozano-Blesa, Zaragoza, Spain; Isabel Canas-Perez: Servicio de Medicina Intensiva - Unidad 2, Hospital Universitario Río Hortega, Valladolid, Spain; Luis Tamayo-Lomas: Servicio de Medicina Intensiva - Unidad 3, Hospital Universitario Río Hortega, Valladolid, Spain; Cristina Diaz-Rodriguez: Servicio de Medicina Intensiva - Unidad 4, Hospital Universitario Río Hortega, Valladolid, Spain; Susana Sancho: General, H. Universitari i Politècnic La Fe, Valencia, Spain; Jesús Priego: UCI CHUO, Complexo Hospitalario Universitario Ourense, Ourense, Spain; Enas M.Y. Abualqumboz: Khartoum Bahri Hospital, Khartoum, Sudan; Momin Majed Yousuf Hilles: Medical Military Hospital, Khartoum, Sudan; Mahmoud Saleh: Wad Medani teaching Hospital, Wad Medani, Sudan; Nawfel Ben-HAmouda: Service de Médecine Intensive Adulte (SMIA), Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland; Andrea Roberti: , Clinica Luganese Moncucco, Lugano, Switzerland; Alexander Dullenkopf: IPS KSF, Spital Thurgau Frauenfeld, Frauenfeld, Switzerland; Yvan Fleury: Intensive Care Unit, Fribourg Hospital, Fribourg, Switzerland; Bernardo Bollen Pinto: Intensive Care Unit (Service des Soins Intensifs), Geneva University Hospitals, Geneva, Switzerland; Joerg C. Schefold: Dept of Intensive Care Medicine, Inselspital Bern, Bern, Switzerland; Mohammed Al-Sadawi: ICU, SUNY Downstate, Brooklyn, USA

Funding

COVIP study did not have any funding. Publication of this article was funded by the Priority Research Area qLife under the program “Excellence Initiative – Research University” at the Jagiellonian University in Krakow (06/IDUB/2019/94).

Author information

Authors and Affiliations

Authors

Consortia

Contributions

Conception and design of the study were contributed by KP, JF, AA, HF, BG, DL, JF, SL, MB, SS, RB, BW, BP, JC, DS, MJ, SO, BM, FA, RM, MC, CJ, WS. Acquisition of the data was contributed by KP, JF, AA, HF, BG, DL, JF, SL, MB, SS, RB, BW, BP, JC, DS, MJ, SO, BM, FA, RM, MC, CJ, WS. Analysis was contributed by KP, JF, WS. Interpretation of the data was contributed by KP, JF, AA, HF, BG, DL, JF, SL, MB, SS, RB, BW, BP, JC, DS, MJ, SO, BM, FA, RM, MC, CJ, WS. Drafting the manuscript was contributed by KP, AA, JF, WS. Critical revision of the manuscript was contributed by KP, JF, AA, HF, BG, DL, JF, SL, MB, SS, RB, BW, BP, JC, DS, MJ, SO, BM, FA, RM, MC, CJ, WS. KP, JF, AA, HF, BG, DL, JF, SL, MB, SS, RB, BW, BP, JC, DS, MJ, SO, BM, FA, RM, MC, CJ, WS contributed to final approval of the manuscript. Agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved by KP, JF, AA, HF, BG, DL, JF, SL, MB, SS, RB, BW, BP, JC, DS, MJ, SO, BM, FA, RM, MC, CJ, WS. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Wojciech Szczeklik.

Ethics declarations

Ethics approval and consent to participate

Ethical consent procedures were highly variable across participating countries and while it was possible to recruit patients without informed consent in some countries, in the remaining countries obtaining informed consent was mandatory. The study complied with the Declaration of Helsinki and its amendments. Details concerning ethical approval and patient`s consent requirements in participating countries are presented in Additional file 1: Table S4.

Consent for publication

Not applicable.

Competing interests

Joerg C. Schefold declares that the Dept. of Intensive Care Medicine Bern has/had research and/or development/consulting contracts with (full disclosure): Orion Corporation, Abbott Nutrition International, B. Braun Medical AG, CSEM SA, Edwards Lifesciences Services GmbH/SA, Kenta Biotech Ltd, Maquet Critical Care AB, Omnicare Clinical Research AG, and Nestlé. Educational grants were received from Fresenius Kabi; GSK; MSD; Lilly; Baxter; Astellas; AstraZeneca; B. Braun Medical AG, CSL Behring, Maquet, Novartis, Covidien, Nycomed, Pierre Fabre Pharma (Roba Pharma); Pfizer, Orion Pharma. The money went into departmental funds. No personal financial gain applies. All other authors do not have any conflict of interest to declare related to this manuscript.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1.

Supplementary Figure 1. Missingness maps for each model included in the paper. Supplementary Figure 2. Histograms showing (A) number of recruited patients (B) proportion of primary NIV (C) proportion of primary IMV and (D) 30-day mortality stratified by study month. Supplementary Figure 3. Histograms showing distribution of NIV initiation day and NIV duration stratified by group. Suuplementary Figure 4. Kaplan-Meier curves comparing survival in patients with primary NIV stratified by intubation status. Supplementary Figure 5. Distribution of LST withhold and withdrawal timing. Supplementary Figure 6. Kaplan-Meier curves for the sensitivity analyses. Supplementary Table 1. Details concerning ethical approval and patient`s consent requirements in participating countries. Supplementary Table 2. Definitions of comorbidities. Supplementary Table 3. Comparison of patients primarily treated with NIV stratified by NIV failure. Supplementary Table 4. 30-day mortality, NIV failure rate and intubation rate stratified by the duration of primary NIV. Supplementary Table 5. Comparison of patients primarily treated with NIV and IMV.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Polok, K., Fronczek, J., Artigas, A. et al. Noninvasive ventilation in COVID-19 patients aged ≥ 70 years—a prospective multicentre cohort study. Crit Care 26, 224 (2022). https://doi.org/10.1186/s13054-022-04082-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13054-022-04082-1

Keywords

  • COVID-19
  • Noninvasive ventilation
  • Frailty
  • Intensive care unit
  • Elderly