Literature DB >> 34670808

COVID-19 pneumonia: pathophysiology and management.

Luciano Gattinoni1, Simone Gattarello2, Irene Steinberg2, Mattia Busana2, Paola Palermo2, Stefano Lazzari2, Federica Romitti2, Michael Quintel2,3, Konrad Meissner2, John J Marini4, Davide Chiumello5, Luigi Camporota6.   

Abstract

Coronavirus disease 2019 (COVID-19) pneumonia is an evolving disease. We will focus on the development of its pathophysiologic characteristics over time, and how these time-related changes determine modifications in treatment. In the emergency department: the peculiar characteristic is the coexistence, in a significant fraction of patients, of severe hypoxaemia, near-normal lung computed tomography imaging, lung gas volume and respiratory mechanics. Despite high respiratory drive, dyspnoea and respiratory rate are often normal. The underlying mechanism is primarily altered lung perfusion. The anatomical prerequisites for PEEP (positive end-expiratory pressure) to work (lung oedema, atelectasis, and therefore recruitability) are lacking. In the high-dependency unit: the disease starts to worsen either because of its natural evolution or additional patient self-inflicted lung injury (P-SILI). Oedema and atelectasis may develop, increasing recruitability. Noninvasive supports are indicated if they result in a reversal of hypoxaemia and a decreased inspiratory effort. Otherwise, mechanical ventilation should be considered to avert P-SILI. In the intensive care unit: the primary characteristic of the advance of unresolved COVID-19 disease is a progressive shift from oedema or atelectasis to less reversible structural lung alterations to lung fibrosis. These later characteristics are associated with notable impairment of respiratory mechanics, increased arterial carbon dioxide tension (P aCO2 ), decreased recruitability and lack of response to PEEP and prone positioning.
Copyright ©The authors 2021.

Entities:  

Mesh:

Year:  2021        PMID: 34670808      PMCID: PMC8527244          DOI: 10.1183/16000617.0138-2021

Source DB:  PubMed          Journal:  Eur Respir Rev        ISSN: 0905-9180


Introduction

Coronavirus disease 2019 (COVID-19) is an ongoing pandemic caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), first isolated in December 2019 in Wuhan, China [1]. Since then, more than 160 million infected cases have been reported worldwide, with a death toll of almost 3.5 million individuals [2]. The clinical features of COVID-19 are highly variable, ranging from asymptomatic patients to severe forms of respiratory failure, and may change remarkably with time. Better understanding of the pathophysiology of COVID-19, achieved over a short time, has led to a significant improvement in medical treatment and outcomes for a large proportion of patients [3]. It is however a significant concern that the mortality among the most severely ill patients remains unacceptably high [4]. The approach we take with this review starts with the analysis and interpretation of the disease trajectory – which we divided conceptually into five phases based on the intensity of treatment required and the location where the treatment should ideally take place: out-of-hospital, emergency department, high-dependency unit (HDU), intensive care unit (ICU) and post-discharge environment (figure 1).
FIGURE 1

A representative flow of patients with COVID-19 from the emergency department through the high-dependency unit to intensive care from an unspecified number of infected individuals. Data from Martinelli et al. [5], from 281 461 patients. Post-COVID-19 data not available. ED: emergency department; HDU: high-dependency unit; ICU: intensive care unit; PH: prehospital.

A representative flow of patients with COVID-19 from the emergency department through the high-dependency unit to intensive care from an unspecified number of infected individuals. Data from Martinelli et al. [5], from 281 461 patients. Post-COVID-19 data not available. ED: emergency department; HDU: high-dependency unit; ICU: intensive care unit; PH: prehospital. We focus on the time-related pathophysiological characteristics and the concomitant respiratory treatment that generally occurs between hospital admission and discharge from the ICU. For each phase we summarise the current understanding of COVID-19 pathophysiology and provide interpretative keys relevant for the clinical management of this large group of patients. It is worth underlining, however, that the progression of COVID-19 disease may resolve at any of the stages we will describe for reasons which are currently not fully understood.

In the emergency department

Patients with COVID-19 infection present to the emergency department with a range of clinical symptoms. The peculiar feature, however, is the unique relationship between gas exchange, respiratory mechanics and imaging.

Clinical presentation

The most common presenting symptoms described in the literature in the first and second European waves of the pandemic are dry cough, fever and conjunctivitis; followed by symptoms affecting the gastrointestinal system such as nausea and diarrhoea [6-22] (table 1). Peculiar to COVID-19 is the frequent complaint of anosmia and ageusia, reflecting viral entry into the neurological system via the olfactory nerve [23]. This initial clinical presentation was similar in the two pandemic waves.
TABLE 1

Clinical presentation of COVID-19 pneumonia during the first (1 February 2020 to 31 May 2020) and second (1 June 2020 to 1 June 2021) waves

Variables First wave Second wave Wave References
Age (years) 61±11.6352±18.6[6, 7, 9, 12, 14, 16, 17, 1922]
[14, 15, 17, 1922]
Gender, male (%) 5155[69, 1417, 1922]
[14, 15, 17, 1922]
Symptoms]
 Cough (%)47.240.8[6, 8, 13, 14, 16, 19, 22]
[13, 14, 19, 22]
 Fever (%)46.655[6, 8, 14, 16, 19, 22]
[13, 14, 19, 21, 22]
 Dyspnoea (%)31.733.5[6, 8, 13, 14, 16, 19, 22]
[13, 14, 19, 22]
 Fatigue, asthenia (%)18.227[8, 16]
[22]
 Acute kidney injury (%)10.817[19]
[19]
 Diarrhoea (%)65[6, 8, 14, 16, 19]
[13, 14, 19, 22]
 Vomiting (%)2.75[14, 16, 19]
[14, 19]
 Neurological symptoms (%)0.60.7[14, 16]
[14]
Gas exchange]
PaO2 (mmHg)69.7±21.3665 (56–74)[8, 15]
[15]
PaCO2 (mmHg)34.1±4.732 (28–84)[10, 15]
[15]
PaO2/FIO2 ratio (mmHg)182±65.29249±111[7, 9, 10, 15]
[15]
 Respiratory rate (breaths per min)23±4.828 (22–33)[8, 10, 15]
[15]
 Saturation (%)94±2.7893 (89–97)[8, 15, 18]
[15]

Data expressed as mean±sd or median (interquartile range), unless otherwise stated. PaO: arterial oxygen tension; PaCO: arterial carbon dioxide tension; FIO: inspiratory oxygen fraction.

Clinical presentation of COVID-19 pneumonia during the first (1 February 2020 to 31 May 2020) and second (1 June 2020 to 1 June 2021) waves Data expressed as mean±sd or median (interquartile range), unless otherwise stated. PaO: arterial oxygen tension; PaCO: arterial carbon dioxide tension; FIO: inspiratory oxygen fraction.

Gas exchange

The PaO/FIO (arterial partial pressure of oxygen/inspiratory oxygen fraction) ratio at presentation varies widely from values more than 300 mmHg to values as low as 50 mmHg [24], while the values of PaCO (partial pressure of carbon dioxide) spans a narrower range (typically 30–40 mmHg) [25]. Despite these abnormalities of gas exchange, the respiratory rate is often normal or only modestly increased [24, 25]. A frequent characteristic of COVID-19 pneumonia is the dissociation between the severity of the hypoxaemia and the comparative low prevalence of dyspnoea [24], a condition designated as “silent hypoxaemia” by early scientific literature and popularised by the communication media [26].

Imaging

In the first few days, the incidence of normal chest computed tomography (CT) findings in symptomatic patients with COVID-19 can be between 10% and 30% of cases. This incidence may reflect the degree of inflammatory response mounted by individual patients in response to the viral infection. In the emergency department, the typical radiological appearance of COVID-19 pneumonia is a radiograph showing bilateral patchy infiltrates, while the CT characteristically shows ground-glass infiltrates, primarily in the posterior and peripheral regions of the lungs (figure 2a) [27, 28].
FIGURE 2

COVID-19 representative computed tomography scans. a) Emergency department: Lung weight=1197.5 g; Gas volume=3937.6 mL; Fraction of non-aerated tissue=0.054; PaO/FIO ratio=146. b) High-dependency unit: Lung weight=1088.6 g; Gas volume=1569.9 mL; Fraction of non-aerated tissue=0.168; PaO/FIO ratio=210. c) Intensive care unit: Lung weight=1399.2 g; Gas volume=1257.5 mL; Fraction of non-aerated tissue=0.389; PaO/FIO ratio=112. FIO: inspiratory oxygen fraction; PaO: arterial oxygen tension.

COVID-19 representative computed tomography scans. a) Emergency department: Lung weight=1197.5 g; Gas volume=3937.6 mL; Fraction of non-aerated tissue=0.054; PaO/FIO ratio=146. b) High-dependency unit: Lung weight=1088.6 g; Gas volume=1569.9 mL; Fraction of non-aerated tissue=0.168; PaO/FIO ratio=210. c) Intensive care unit: Lung weight=1399.2 g; Gas volume=1257.5 mL; Fraction of non-aerated tissue=0.389; PaO/FIO ratio=112. FIO: inspiratory oxygen fraction; PaO: arterial oxygen tension. Additional presentations include a “crazy-paving pattern” and halo signs – consolidations surrounded by ground-glass opacities. Peripheral sub-pleural lesions [27] may be wedge shaped, similar to pulmonary infarcts [29], and these resemble the initial lesions found during progressive experimental ventilator-induced lung injury (VILI) in mid-sized animal models [30]. It is tempting, therefore, to hypothesise that this radiological picture may reflect initial lesions due to patient self-inflicted lung injury (P-SILI). Indeed, P-SILI may occur following abnormally high inspiratory effort which persists over time. In fact, COVID-19 patients experience increased respiratory drive and tidal volumes for several days prior to presenting at hospital. The quantitative analysis of the CT scan at this stage of the disease shows only a modest increase in lung weight (10–20% above normal) with a non-aerated tissue fraction of about 10% and gas volume within normal limits or only slightly reduced. Not surprisingly, respiratory system compliance is often near normal, given that this mechanical parameter reflects the amount of pulmonary gas volume [31]. Consistent with these findings is the low recruitability (or potential for lung recruitment, assessed either by CT scan or by single breath methods) found in patients who have been intubated in these early stages of the disease [32].

Remarks

Some remarks on gas exchange and treatment are needed at this stage.

Remarks on gas exchange

To fully account for the variability in gas exchange, a simultaneous assessment of ventilation and perfusion should ideally be performed. Unfortunately, the main variable employed clinically to assess gas exchange is the PaO/FIO ratio, or oxygen saturation (SpO)/FIO ratio – despite their recognised physiological limitations and susceptibility to confounders (e.g. FIO, airway pressure, haemodynamics etc.) [33, 34]. At this stage of the disease, the clinical hallmark is the dissociation between hypoxaemia and the triad of CT scan pathoanatomy described above, modest dyspnoea and presence of “flexible lungs”. The absence of dyspnoea, a subjective sensation, beyond an abnormal neuro-vegetative status may be explained by the preserved and near-normal respiratory system compliance, associated with an increased respiratory drive [26]. Indeed, if the respiratory system can generate tidal volumes the brain expects for a given respiratory effort, the compensatory response to the initial hypoxaemia is an increase in the minute ventilation (tidal volume first, then respiratory rate), hypocapnia, and minimal dyspnoea [35, 36]. Hypoxaemia, in severe respiratory failure of the usual aetiologies, commonly originates from a “true” shunt, i.e. the fraction of cardiac output which flows through the lungs without contacting alveolar gases (consolidated lung regions, venous-arterial anastomosis, intracardiac shunt). Hypoxaemia, however, may also occur because of a mismatch between regional ventilation and local perfusion [37]. Both mechanisms are included in Riley's model, and regarded as venous admixture, which includes true shunt and ventilation/perfusion (V′A/Q′) maldistribution [38]. In COVID-19 the venous admixture ranges from 30% to 70% [39]. What evidence do we have available for addressing the mechanisms of impaired gas exchange at this stage of disease? The modest increase in lung weight and non-aerated tissue fraction, together with a high gas volume, exclude compression-atelectasis and the right-to-left shunt – typical of acute respiratory distress syndrome (ARDS) – as the primary cause of respiratory failure [31]. Extensive intracardiac shunting is also an unlikely explanation and is not in keeping with the natural history of the disease. The remaining possible mechanism, therefore, is a V′A/Q′ maldistribution. We hypothesised impaired control of lung perfusion and lack of appropriate hypoxic vasoconstriction as a primary mechanism of hypoxaemia [39, 40], as discussed in detail in the models presented by Herrmann et al. [41] and Busana et al. [42], who modelled hypoxaemia in patients with COVID-19 taking into account true shunt as well as V′A/Q′ maldistribution. Additional factors may account for the observed severe hypoxaemia in absence of true shunt: paradoxical hyperperfusion of poorly ventilated areas [43], hypoperfusion [43] and neo-vascularisation [44] with dysfunctional vessels generated by hypoxic tissue milieu. In summary, several physiological alterations seem to distinguish COVID-19 from other forms of respiratory failure having similar gas exchange impairment and indicate the primary role of altered lung perfusion in the pathogenesis of hypoxaemia.

Remarks on treatment

Treatment should be guided by an understanding of the pathophysiology. The general and understandable reaction during the first COVID-19 wave was to aggressively attempt to reverse hypoxaemia, given the large number of patients involved. Indiscriminate use of oxygen and a complete package of ventilatory support, mask continuous positive airways pressure (CPAP), helmet CPAP, high-flow nasal cannulas (HFNC) and noninvasive ventilation (NIV) were applied [45]. Given the underlying pathophysiology, a critical question is whether hypoxaemia per se justifies this therapeutic response, one based on prior ARDS literature and pathophysiology. Although the PaO/FIO ratio is certainly in the range of severe ARDS (PaO/FIO<100 mmHg, and characterised by bilateral infiltrates and a noncardiac origin), the pathophysiology and early stage clinical pictures are impressively different: the ARDS “baby lung” [46] is substituted in C-ARDS (COVID-19 acute respiratory distress syndrome) by a lung of “adult” size [47]. This difference is further supported by the fact that the patient does not generally manifest problems of ventilation adequacy. A saturation between 85% and 90%, with appropriate haemodynamics, is tolerable during spontaneous breathing. It is difficult within this framework to understand why recommendations and guidelines for the respiratory management of COVID-19 have proposed the adoption of standard ARDS treatment, i.e. simply follow the rules for severe ARDS [48-50]. The differences in the mechanisms and the best treatment approaches remain hotly debated questions. It may be useful to distinguish the respiratory treatment approach taken during the first pandemic wave from that applied in the second one which benefited from the clinical experience and emerging scientific evidence and clinical trials. Indeed, if different, one possible question is whether new factors (virus mutations or changes in early/pre-hospital therapy) during the second phase could have changed the pathophysiology and, consequently, would dictate a change in the respiratory support. In fact, during the second wave, many patients were inappropriately (according to the guidelines) treated at home or in medical wards with steroids, anticoagulants and antivirals [51]. The results indicate that, on average, the clinical presentation to the ICU somehow became more severe [6]. In particular, dyspnoea was more frequently reported, along with an unusually high incidence of barotrauma, primarily pneumomediastiunum, pneumothorax and local blebs, cysts etc. [5]. Consequently, the respiratory approach, in terms of applied pressures, became somewhat less aggressive, even though COVID-19 was still largely managed following the strategies employed in the classical forms of ARDS [52].

In the HDU

During a pandemic, the significant strain on the healthcare system often means that the flow of patients from the emergency department to the HDU is more contingent on the availability of healthcare resources (staff and critical care beds) rather than guided by strictly objective clinical indications [53]. Resource constraints, therefore, often generate delays in the transfer of the patient to the most suitable site-of-care, and such delays increase the risk of dismal outcomes [54-56]. What we describe below pertains to “ideal conditions” in which bed availability in HDU is unrestricted. The most common criterion for admission to the HDU is the severity of hypoxaemia, based on the PaO/FIO ratio and categorised using the decade-long definition of mild, moderate and severe acute respiratory failure [57, 58]. At this stage, however, the patient may experience progressive worsening of respiratory distress, characterised by increased infiltrates on CT scan (figure 2b), deterioration of gas exchange, increased respiratory rate and increased respiratory drive (neural respiratory output). Heightened effort (respiratory muscle activity) generates dyspnoea or air hunger [59], i.e. the unpleasant subjective sensation of difficulty in breathing. The suggested respiratory support administered to these patients, ranges, in order of “invasiveness”, from HFNC to mask or helmet CPAP and NIV, either in supine position or with the awake prone position [60, 61]. Additional pharmacological treatments active on pulmonary circulation (e.g. inhaled pulmonary vasodilators and almitrine) have been also reported [62, 63]. Their use, however, would benefit from preliminary assessment of pulmonary blood flow and pulmonary artery pressure.

Prone positioning

The use of the prone position in awake patients with early COVID-19 has gained increasing popularity and wide adoption. A “positive response” to prone position is usually defined as an increase in PaO or SpO above a certain threshold fraction compared with the supine position (usually 20% of PaO or P/F ratio), while keeping the airway pressure constant. The available data show that the proportion of “responders” ranges from 25% up to 75% [64, 65]. A positive response unfortunately may not change the natural progression of the disease and does not avert orotracheal intubation [66]. Although these data are informative at population level, such reports do not delineate the physiological mechanisms underlying the individual's response, nor explain the associated clinical features (disease duration or radiology). The effects of prone positioning on oxygenation, however, are short lasting and the improvement of oxygenation are often rapidly lost after resuming supine position. Decreased work of breathing has also been described as a benefit from this manoeuvre; however, the assessment is generally qualitative and subjective (comfort scale) or semi-quantitative [67], rather than quantitative and objective e.g. via oesophageal pressure measurements, diaphragm movement or electrical activity of the diaphragm [68-70].

High-flow nasal cannula

HFNC is currently the most recommended initial treatment for patients at this stage, due to its easy application and delivery, comfort, and provision of low PEEP (positive end-expiratory pressure) (2–5 cmH2O, depending on the flow delivered) which does not induce alveolar over-distention [71, 72]. Another obvious advantage of HFNC is its ability to deliver gas flows that match the patient's mean inspiratory flow generated with high respiratory drive, therefore making it possible to supply oxygen at the set FIO [73]. The additional advantages of dead space washout, air warming and humidification can reduce airway resistance and further decrease respiratory effort [74]. It is important to note, though, that the use of HFNC during the pandemic has been highly variable and influenced by three main factors: 1) inconsistent advice from different societies and guidelines, some of which discouraged the use of HFNC; 2) concerns regarding the high oxygen demand of these devices, potentially leading to exhaustion of the hospital's supply of oxygen; and 3) risk of viral spreading. Our opinion, however, is that HFNC is a valuable approach to these patients, provided it can achieve a reduction in inspiratory effort.

Continuous positive airways pressure

In patients with more severe oxygenation deficits – particularly in the presence of worsening lung oedema or atelectasis – higher airway pressures can be provided using CPAP devices using different interfaces. The use CPAP via helmet has been highly variable among different countries (e.g. the helmet is extremely popular in Italy [75], but almost ignored in the United States). CPAP is usually delivered at pressure levels between 5 and 15 cmH2O [75]. During the first pandemic wave, the median level of CPAP reported was as high as 14 (12–16) cmH2O [13]. Over the course of the pandemic – especially in the second wave – observational data indicate that CPAP pressure levels have substantially decreased, while its use increased [16].

Noninvasive ventilation

NIV provides additional inspiratory support and is primarily indicated when hypoxaemia is associated with modest worsening of ventilation requirements and the need to increase alveolar ventilation or reduce the workload of the respiratory muscles. Available data suggest that, once again, the indication for the use of NIV has been worsening hypoxaemia rather than any measure of respiratory effort or ventilator insufficiency [76]. A high inspiratory effort represents, not only as an indication to start NIV but also (and perhaps more importantly) to detect NIV failure and need to escalate treatment to invasive ventilation [77].

Noninvasive respiratory support

The noninvasive techniques we discussed above are sufficient, in most patients, to maintain adequate gas exchange. At this stage, improvement occurs in many of them. Particular attention, however, should be devoted to the patients in whom NIV is unable to reduce the excessive inspiratory effort. Indeed, this condition of persistent increased lung stress and strain, may be associated with the development or worsening of P-SILI.

Indications for mechanical ventilation

Unfortunately, hypoxaemia remains the only parameter used to assess patient's respiratory status, and the correction of impaired oxygenation is the target which best satisfies the clinician. It is seldom discussed that improved oxygenation per se is not synonymous with better survival. In fact, data show that better survival could be associated with worse oxygenation when lung protective measures are instituted [78]. The predominant focus on oxygenation distracts from important additional assessments and, as a result, several important variables are left unmeasured, under-evaluated or completely ignored. These include changes in PaCO, respiratory rate, spontaneous tidal volume or stress and strain. Indeed, a key remark for this period concerns the indications for mechanical ventilation, a decision for which a large amount of literature is available but clear and objective criteria are lacking. It must be noted that most reports adopt an epidemiologic description of “early” versus “late”, without any attempt to justify or elucidate physiologic mechanisms [79-89] (table 2). The designation of “early or late” is usually based on an arbitrary criterion based on the time from hospital/ICU admission to intubation rather than on the clinical characteristics that would identify an “early” or “late” disease. This approach is further confounded by the lack of data that match patients cared for outside the ICU with the same disease severity as ones admitted to ICU. The lack of a true “denominator” and huge variations in resources and practice environments make it difficult to describe and compare in detail the extensive literature available that lacks appropriate mechanistic data [90]. The role and timing of invasive mechanical ventilation at this stage is the crucial but controversial issue. The two main issues seem to be: 1) the uncertain timing and indication for invasive mechanical ventilation; and 2) the dramatic deterioration of respiratory function (primarily gas exchange and mechanics) often clinically observed when switching from NIV to invasive mechanical ventilation. Despite the attempts to define the intubation criteria, as in randomised trials [34], current expert opinion appears to be that intubation should simply be based on clinical judgement [91]. We recently found that when the decision was left to the attending physician, the “need for mechanical ventilation” was determined by a mixture of criteria relating to deterioration in gas exchange and increased respiratory drive, often associated with cognitive alteration (anxiety, confusion, delirium) or extra-respiratory organ failure. In some COVID-19 patients the problem is not an insufficient ventilation but, on the contrary, the spontaneous and uncontrolled hyperventilation, for which mechanical ventilation represents a means to protect the lungs against P-SILI. Therefore, a possible indication for intubation may not be the distress per se (as this can be absent or tolerable), but the persistence of uncontrolled inspiratory effort and risk of P-SILI, the hazard from which could be primarily confirmed by objective measures, e.g. oesophageal pressure swings, diaphragm displacement, central venous pressure swings or high tidal volumes during NIV, reportedly associated with its failure [92].
TABLE 2

Mechanical ventilation in COVID-19 pneumonia

Author Patients enrolled Early intubation n (%) Deceased n (%) Late intubation n (%) Deceased n (%)
Zuccon [79] 5425 (46.3)9 (36)23 (42.6)12 (52.2)
Lee [80] 4723 (48.9)13 (56.5)16 (34.0)7 (43.8)
Karagiannidis [81] 10 0211318 (13.2)696 (52.8)141 (1.4)70 (49.6)
Grasselli [82] 39882929 (73.4)1514 (51.7)151 (3.8)NA
Matta [83] 11176 (68.5)54 (71.1)35 (31.5)20 (57.1)
Hernandez-Romieu [84] 231132 (57.1)47 (35.6)42 (18.2)16 (38.1)
Mellado-Artigas [85] 12261 (50)13 (21.3)23 (18.9)6 (26.1)
Pandya [86] 7537 (49.3)20 (54.1)38 (50.7)18 (47.4)
Roedl [87] 22366 (29.6)26 (39.4)46 (20.6)20 (43.5)
Bavishi [88] 5430 (55.6)2 (6.7)24 (44.4)7 (29.2)
COVID-ICU Group [89] 42442635 (62.1)957 (36.3)741 (17.5)244 (32.9)
Total 49787332 (38.2)3351 (45.7)1280 (6.7)420 (37.2)

The weighted means of the different studies are summarised in the final row. NA: data not available.

In the ICU

Mechanical ventilation, that for sake of clarity we may consider as the start of the intensive care period, it is often associated with a remarkable deterioration of the respiratory system. Indeed, often the lung gas volume and respiratory system compliance decreases, oxygenation worsens and PaCO may increase. Most of the observed events are caused by sedation and paralysis, which lead to a loss of muscular (skeletal and diaphragmatic) tone, the under-appreciation of the true driving pressure exerted during spontaneous breathing [77] and therefore hypoventilation at lower tidal volumes and with more protective driving pressures. These changes induce formation of atelectasis with consequent loss of lung gas volume. Concurrent with these well-known phenomena, it is possible that additional fluid loads during this phase may be, if not a determinant, at least a contributing factor to increased lung oedema and deterioration in lung function. We described this stage at its extreme, as Type H, characterised by higher elastance, lung weight, right-to-left shunt and recruitability [39]. The latter is known to progressively increase with worsening of disease severity. Mechanical ventilation in COVID-19 pneumonia The weighted means of the different studies are summarised in the final row. NA: data not available. During this phase – although the oxygenation can be partially corrected – a progressive rise of PaCO and dead space becomes evident, as widely described, in association with structural changes of lung parenchyma [93, 94]. Responses to recruitment manoeuvres, higher PEEP and prone position progressively vanish. Indeed, oxygenation in a fraction of patients close to 50% may decreased instead of increasing. This phenomenon is consistent with a progressive shift from oedema to the fibrotic status [95]. As shown in figure 2c, the CT scan image is remarkably changed compared with those of the initial and intermediate phases, and the overall picture is comparable with the ARDS pattern. Note, however, that more than a typical ARDS, this picture resembles ARDS not resolving after 2 or 3 weeks of treatment, which, unfortunately, is far less frequently encountered in our experience. The primary alteration occurring in these patients is likely to be the progressive shift from oedema and atelectasis to organising pneumonia, with fibrotic and structural changes of the lung [96]. Such findings are consistent with the pathophysiological features observed in the later stages of typical ARDS [94]. We may also wonder whether some of the positive benefits associated with the administration of dexamethasone in the late stages simply reflect remodelling of the fibrotic reaction [97], or the resolution of organising pneumonia. The reports of several patients with the appearance of CT scan features compatible with fibrosis but with near-normalisation of lung radiology should caution against early prognostication of irreversibility and established fibrosis [98]. This, in turn, has implications in terms of resources, duration of organ support or suitability for lung transplant.

Treatment

In the intensive care phase, the principles of treatment should not differ significantly from the one recommended for the management of ARDS. However, great attention should be paid to the setting of PEEP, as the prerequisites for PEEP effectiveness (i.e. lung oedema or atelectasis) are present only in the intermediate phases of COVID-19 disease, and are less prevalent in the very early or very late phases. Ideally, a careful monitoring of the hemodynamic and the respiratory system mechanics could guide the most appropriate ventilator treatment in a given patient.

Extracorporeal support

Extracorporeal membrane oxygenation (ECMO) has been used in around 3% of patients with severe COVID-19. Although often life-saving, ECMO represents a form of support that buys time to allow healing and recovery – sometimes after several weeks – or to determine the potential reversibility of the lung injury. The current survival in patients that receive ECMOis 51% [99]. However, several factors play an important role, including pre-existing comorbidities, type of ECMO support (veno-venous versus veno-arterial or hybrid) [100, 101] and, importantly, the case volume [101, 102] and experience of the ECMO centre. Ultimately, the determination of irreversibility and consideration of withdrawal of organ support or consideration of lung transplant, despite some initial encouraging results [101, 103], is extremely difficult particularly during pandemic times, and requires longer term data.

Conclusions and final remarks

In figure 3 we summarise the time course of the evolution of COVID-19 we have observed, highlighting possible controversies. Let's first state that COVID-19 disease is not at all a “heterogeneous disease” as we do not know of, nor have we experienced, of any other condition in which thousands of the patients were so similar at a given and specific phase of the disease. On the contrary, heterogeneity is generated by the inclusion of patients with the same disease but at different stages of evolution along a largely homogeneous disease trajectory [104]. Having said that, the pathoanatomy of unresolving disease progresses from an inflamed non-oedematous, non-atelectatic lung to one having an increased oedema and atelectasis phase, eventually to shift toward a fibrotic lung structure in the late phase. These pathoanatomical changes are associated with progressive changes of gas volumes and respiratory mechanics. Obviously, if time is not taken in consideration, reports about compliance values of these patients and other characteristics appear conflicting. The PaCO and the response to common manoeuvres for recruitment such as raising PEEP and prone positioning change with time; it is also very likely that the mechanisms underlying the oxygenation impairment change with time: from primary V′A/Q′ maldistribution, to primary true shunt alterations when oedema increases and COVID-19 disease progresses. It is possible that further improvement in respiratory treatment – which are primarily based on avoidance of further complications (e.g. super-infections, sepsis, barotrauma etc.) instead of inventing miracle solutions – would require a better understating of the underlying mechanisms. These in turn, need more frequent and focused attention to respiratory monitoring as a guide to optimal and timely treatment.
FIGURE 3

Summary of COVID-19 pathophysiology time course of patients who fail to improve. Atelectasis/recruitability progressively increase during the disease course until a later phase, characterised by fibrosis development. These anatomical changes are associated with a progressive decrease of respiratory system compliance, same or higher ventilation and a decreased PaCO. Note that oxygenation does not change remarkably during the disease course, although, the mechanisms of hypoxaemia are likely to shift from V′A/Q′ misdistribution to true shunt. ED: emergency department; HDU: high-dependency unit; ICU: intensive care unit; PaCO: arterial carbon dioxide tension; V′A/Q′: ventilation/perfusion ratio.

Summary of COVID-19 pathophysiology time course of patients who fail to improve. Atelectasis/recruitability progressively increase during the disease course until a later phase, characterised by fibrosis development. These anatomical changes are associated with a progressive decrease of respiratory system compliance, same or higher ventilation and a decreased PaCO. Note that oxygenation does not change remarkably during the disease course, although, the mechanisms of hypoxaemia are likely to shift from V′A/Q′ misdistribution to true shunt. ED: emergency department; HDU: high-dependency unit; ICU: intensive care unit; PaCO: arterial carbon dioxide tension; V′A/Q′: ventilation/perfusion ratio.
  98 in total

1.  The concept of "baby lung".

Authors:  Luciano Gattinoni; Antonio Pesenti
Journal:  Intensive Care Med       Date:  2005-04-06       Impact factor: 17.440

2.  Management of COVID-19 Respiratory Distress.

Authors:  John J Marini; Luciano Gattinoni
Journal:  JAMA       Date:  2020-06-09       Impact factor: 56.272

3.  Ventilation with lower tidal volumes as compared with traditional tidal volumes for acute lung injury and the acute respiratory distress syndrome.

Authors:  Roy G Brower; Michael A Matthay; Alan Morris; David Schoenfeld; B Taylor Thompson; Arthur Wheeler
Journal:  N Engl J Med       Date:  2000-05-04       Impact factor: 91.245

4.  Effects of inhaled nitric oxide in COVID-19-induced ARDS - Is it worthwhile?

Authors:  Christopher Lotz; Ralf M Muellenbach; Patrick Meybohm; Haitham Mutlak; Philipp M Lepper; Caroline-Barbara Rolfes; Asghar Peivandi; Jan Stumpner; Markus Kredel; Peter Kranke; Iuliu Torje; Christian Reyher
Journal:  Acta Anaesthesiol Scand       Date:  2020-12-20       Impact factor: 2.105

5.  Diaphragmatic motion studied by m-mode ultrasonography: methods, reproducibility, and normal values.

Authors:  Alain Boussuges; Yoann Gole; Philippe Blanc
Journal:  Chest       Date:  2008-11-18       Impact factor: 9.410

6.  Brainstem neuropathology in two cases of COVID-19: SARS-CoV-2 trafficking between brain and lung.

Authors:  Gaetano Bulfamante; Tommaso Bocci; Monica Falleni; Laura Campiglio; Silvia Coppola; Delfina Tosi; Davide Chiumello; Alberto Priori
Journal:  J Neurol       Date:  2021-05-18       Impact factor: 4.849

7.  Nasal high flow: physiology, efficacy and safety in the acute care setting, a narrative review.

Authors:  Tommaso Mauri; Yu-Mei Wang; Francesca Dalla Corte; Nadia Corcione; Elena Spinelli; Antonio Pesenti
Journal:  Open Access Emerg Med       Date:  2019-05-29

8.  The impact of ventilation-perfusion inequality in COVID-19: a computational model.

Authors:  Mattia Busana; Lorenzo Giosa; Massimo Cressoni; Alessio Gasperetti; Luca Di Girolamo; Alessandra Martinelli; Aurelio Sonzogni; Luca Lorini; Maria Michela Palumbo; Federica Romitti; Simone Gattarello; Irene Steinberg; Peter Herrmann; Konrad Meissner; Michael Quintel; Luciano Gattinoni
Journal:  J Appl Physiol (1985)       Date:  2021-01-13

Review 9.  COVID-19 and Italy: what next?

Authors:  Andrea Remuzzi; Giuseppe Remuzzi
Journal:  Lancet       Date:  2020-03-13       Impact factor: 79.321

10.  Chest CT in COVID-19: What the Radiologist Needs to Know.

Authors:  Thomas C Kwee; Robert M Kwee
Journal:  Radiographics       Date:  2020-10-23       Impact factor: 5.333

View more
  19 in total

1.  The Effectiveness of COVID-19 Vaccines in Preventing Hospitalizations During the Delta Wave: A Patient-Population Study at a Major Referral Center.

Authors:  Ahmad Salman; Ghaidaa Elsaddik; Zeinab El Mawla; Rim Masri; Matina Hamadeh; Amena Khatoon; Michelle W Saliba; Afaf Michel Minari; Mahmoud Hassoun; Pierre Abi Hanna
Journal:  Cureus       Date:  2022-06-17

Review 2.  Advances and applications of monoolein as a novel nanomaterial in mitigating chronic lung diseases.

Authors:  Yinghan Chan; Sachin Kumar Singh; Monica Gulati; Sheetu Wadhwa; Parteek Prasher; Deepak Kumar; Avvaru Praveen Kumar; Gaurav Gupta; Gowthamarajan Kuppusamy; Mehra Haghi; Brian Gregory George Oliver; Jon Adams; Dinesh Kumar Chellappan; Kamal Dua
Journal:  J Drug Deliv Sci Technol       Date:  2022-06-23       Impact factor: 5.062

3.  Spectrum of Kidney Injury Following COVID-19 Disease: Renal Biopsy Findings in a Single Italian Pathology Service.

Authors:  Alessandro Gambella; Antonella Barreca; Luigi Biancone; Dario Roccatello; Licia Peruzzi; Luca Besso; Carolina Licata; Angelo Attanasio; Mauro Papotti; Paola Cassoni
Journal:  Biomolecules       Date:  2022-02-12

4.  Fatigue Is a Major Symptom at COVID-19 Hospitalization Follow-Up.

Authors:  Søren Sperling; Andreas Fløe; Steffen Leth; Charlotte Hyldgaard; Tina Gissel; Ayfer Topcu; Lars Kristensen; Lene Dahl Sønderskov; Johannes Martin Schmid; Søren Jensen-Fangel; Elisabeth Bendstrup
Journal:  J Clin Med       Date:  2022-04-25       Impact factor: 4.964

5.  Intubation to Nowhere in COVID-19: Can Noninvasive Ventilation Help?

Authors:  Philippe R Bauer
Journal:  Mayo Clin Proc       Date:  2021-11-12       Impact factor: 11.104

6.  Optimising respiratory support for early COVID-19 pneumonia: a computational modelling study.

Authors:  Liam Weaver; Anup Das; Sina Saffaran; Nadir Yehya; Marc Chikhani; Timothy E Scott; John G Laffey; Jonathan G Hardman; Luigi Camporota; Declan G Bates
Journal:  Br J Anaesth       Date:  2022-03-18       Impact factor: 11.719

Review 7.  Liver Injury in Patients Hospitalized for COVID-19: Possible Role of Therapy.

Authors:  Maurizio Gabrielli; Laura Franza; Alessandra Esperide; Irene Gasparrini; Antonio Gasbarrini; Francesco Franceschi
Journal:  Vaccines (Basel)       Date:  2022-01-26

8.  Comparison of Clinical Features and Outcomes between SARS-CoV-2 and Non-SARS-CoV-2 Respiratory Viruses Associated Acute Respiratory Distress Syndrome: Retrospective Analysis.

Authors:  Manbong Heo; Jong Hwan Jeong; Sunmi Ju; Seung Jun Lee; Yi Yeong Jeong; Jong Deog Lee; Jung-Wan Yoo
Journal:  J Clin Med       Date:  2022-04-17       Impact factor: 4.964

Review 9.  [Acute kidney injury and COVID-19: lung-kidney crosstalk during severe inflammation].

Authors:  Timo Mayerhöfer; Fabian Perschinka; Michael Joannidis
Journal:  Med Klin Intensivmed Notfmed       Date:  2022-04-27       Impact factor: 0.840

10.  Bedside Selection of Positive End Expiratory Pressure by Electrical Impedance Tomography in Patients Undergoing Veno-Venous Extracorporeal Membrane Oxygenation Support: A Comparison between COVID-19 ARDS and ARDS from Other Etiologies.

Authors:  Michela Di Pierro; Marco Giani; Alfio Bronco; Francesca Maria Lembo; Roberto Rona; Giacomo Bellani; Giuseppe Foti
Journal:  J Clin Med       Date:  2022-03-16       Impact factor: 4.241

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.