| Literature DB >> 33239884 |
Jaber S Alqahtani1,2, Renata G Mendes3, Abdulelah Aldhahir1,4, Daniel Rowley5, Mohammed D AlAhmari2,6, George Ntoumenopoulos7, Saeed M Alghamdi8,9, Jithin K Sreedharan2, Yousef S Aldabayan10, Tope Oyelade11, Ahmed Alrajeh10, Carlo Olivieri12, Maher AlQuaimi13, Jerome Sullivan14, Mohammed A Almeshari15, Antonio Esquinas16.
Abstract
BACKGROUND: As the global outbreak of COVID-19 continues to ravage the world, it is important to understand how frontline clinicians manage ventilatory support and the various limiting factors.Entities:
Keywords: COVID-19; HFNC; NIV; clinical management; mechanical ventilation; proning; respiratory; ventilation
Year: 2020 PMID: 33239884 PMCID: PMC7680685 DOI: 10.2147/JMDH.S279031
Source DB: PubMed Journal: J Multidiscip Healthc ISSN: 1178-2390
Figure 1Percentage of responders per country.
Characteristics of Critical Care Practitioners (N= 502) *
| Characteristics | Values |
|---|---|
| Highest qualification | |
| ● Diploma | 45 (8.96%) |
| ● Bachelor | 228 (45.42%) |
| ● Master | 158 (31.47%) |
| ● PhD | 71 (14.14%) |
| Profession | |
| ● Respiratory therapists | 173 (34.46%) |
| ● Physiotherapist | 123 (24.50%) |
| ● Nurse | 8 (1.59%) |
| ● ICU Intensivist | 108 (21.51%) |
| ● Pulmonologist | 60 (11.95%) |
| ● Anesthesiologist | 30 (5.98%) |
| Continent | |
| ● Africa | 4 (0.80%) |
| ● Asia | 185 (36.85%) |
| ● Europe | 159 (31.67%) |
| ● North America | 36 (7.17%) |
| ● Oceania | 6 (1.20%) |
| ● South America | 112 (22.31%) |
| Type of hospital | |
| ● Secondary care hospital | 137 (27.29%) |
| ● Tertiary care hospital | 365 (72.71%) |
| Hospital characteristics | |
| ● <200 beds | 93 (19.02%) |
| ● 200–499 beds | 175 (35.79%) |
| ● 500–1000 beds | 141 (28.83%) |
| ● >1000 beds | 80 (16.36%) |
| ICU beds | |
| ● Total number | 31,144 |
| ● Mean (±SD) | 64 (±84) |
| ● 1–10 | 42 (8.64%) |
| ● 11–100 | 365 (75.10%) |
| ● >100 | 79 (16.26%) |
| Previous training in MV | 424 (85%) |
| Experience and training | |
| ● >20 – year experience | 94 (18.73%) |
| ● 11–20 – year experience | 144 (28.69%) |
| ● 6–10 – year experience | 115 (22.91%) |
| ● ≤5 – year experience | 149 (29.68%) |
| ● >20 – year experience and trained | 82 (19%) |
| ● 11–20 – year experience and trained | 122 (29%) |
| ● 6–10 – year experience and trained | 97 (23%) |
| ● ≤5 – year experience and trained | 123 (29%) |
Note: *All percentages are expressed corresponding to the total number of respondents.
Abbreviations: PhD, Doctor of Philosophy; ICU, intensive care unit; SD, standard deviation.
Figure 2Academic degrees per continent.
Figure 3Formal training in MV per continent.
Figure 4Mean ICU beds per continent.
Figure 5Total beds per hospital in all continents.
Factors Considered in the Clinical Management of COVID-19 Patients and the Maintenance of Ventilators (N= 502)*
| Characteristics | Values |
|---|---|
| Initial diagnostic tool used for therapy initiation | |
| ● Arterial Blood Gas | 241 (48%) |
| ● Chest Imaging | 42 (8.4%) |
| ● Clinical Presentation | 188 (37.5%) |
| ● All of the Above | 31 (6.2%) |
| Available protocols | |
| ● HFNC | 195 (38.8%) |
| ● NIV | 284 (56.6%) |
| ● IMV | 416 (82.9%) |
| Used COVID-19 guidelines | |
| ● Own practice | 197 (39.2%) |
| ● National | 307 (61.2%) |
| ● WHO | 239 (47.6%) |
| ● AARC | 128 (25.5%) |
| ● NICE | 63 (12.5%) |
| ● ANZICS | 29 (5.8%) |
| ● SCCM | 197 (39.2%) |
| Initial ventilation strategy based on severity | |
| MILD | |
HFNC | 270 (53.8%) |
NIV | 123 (24.5%) |
IMV | 24 (4.8%) |
| Moderate | |
HFNC | 87 (17.3%) |
NIV | 236 (47%) |
IMV | 130 (25.9%) |
| SEVERE | |
HFNC | 5 (1%) |
NIV | 15 (3%) |
IMV | 462 (92%) |
| Ventilator management | |
| Suctioning system used | |
Open | 35 (7%) |
Closed | 467 (93%) |
| Ventilator system check | |
As needed | 270 (53.8%) |
Every 1–2 hours | 53 (10.6%) |
Every 2 hours | 67 (13.3%) |
Every 4 hours | 112 (22.3%) |
Note: *All percentages are expressed corresponding to the total number of respondents.
Abbreviations: AARC, American Association for Respiratory Care; ANZICS, Australian and New Zealand Intensive Care Society; HFNC, high flow nasal cannula; IMV, invasive mechanical ventilation; NICE, National Institute for Health and Care Excellence; NIV, noninvasive ventilation; SCCM, Society of Critical Care Medicine; WHO, World health Organization.
General Management of COVID-19 Using Ventilatory Support (N= 502)*
| Characteristics | Values |
|---|---|
| Initial flow setting of HFNC | |
| ● Below 30 L/m | 90 (17.9%) |
| ● From 30 to 45 L/m | 150 (29.9%) |
| ● More than 45 L/m | 80 (15.9%) |
| Use of humidification with HFNC | 309 (61.6%) |
| NIV modes | |
BiPAP | 161 (32.1%) |
CPAP/PS | 204 (40.6%) |
PC | 43 (8.6%) |
VC | 19 (3.8%) |
| NIV interfaces frequently used | |
Full face mask | 192 (38.2%) |
Helmet | 67 (13.3%) |
Nasal mask | 19 (3.8%) |
Oronasal mask | 154 (30.7%) |
| IMV modes | |
| ● APRV | 39 (7.8%) |
| ● PC | 175 (34.9%) |
| ● PRVC | 107 (21.3%) |
| ● VC | 181 (36.1%) |
| Humidifier type used with IMV | |
| ● Heated circuit | 135 (26.9%) |
| ● HEPA | 11 (2.2%) |
| ● HME | 356 (70.9%) |
| Ventilation strategy used in IMV | |
| ● Low VT ventilation (VT: 4–8 ml/kg of predicted body) | 481 (96%) |
| ● Higher VT ventilation (VT>8 ml/kg of predicted body weigh) | 20 (4%) |
| PEEP strategy | |
| ● Lower PEEP (PEEP levels <10 cm H | 182 (36.3%) |
| ● Higher PEEP (PEEP levels >10 cm H2O) | 320 (63.7%) |
| Use of prone with IMV | 430 (85.7%) |
| Prone duration | |
| 74 (14.7%) | |
12 to 16 hours/day | 243 (48.4%) |
| ● >16 hours/day | 116 (23.1%) |
| Reasons for not proning | |
| ● Limited resources | 61 (12.2%) |
| ● Lack of staff training | 71 (14.9%) |
| ● Complications | 67 (13.3%) |
| ● Not indicated | 64 (12.7%) |
| Tried awake prone positioning | 232 (46.2%) |
| Frequent use of nitric oxide | 61 (12.2%) |
| Use inhaled pulmonary vasodilator | 191 (38%) |
| Use of recruitment manoeuvres | 349 (69.5%) |
| Recruitment manoeuvres used | |
| ● Stepwise PEEP adjustment | 214 (42.6%) |
| ● Inspiratory hold | 146 (29.1%) |
| Use of (VV) ECMO | 97 (19.3%) |
| Use of systemic corticosteroids | 323 (64.3%) |
Note: *All percentages are expressed corresponding to the total number of respondents.
Abbreviations: APRV, airway pressure release ventilation; BIPAP, bilevel positive airway pressure; CPAP/PS, continuous positive airway pressure/pressure support; HME, heat and moisture exchanger; HEPA, high-efficiency particulate air; PEEP, positive end-expiratory pressure; PC, pressure control; PRVC, pressure regulated volume control; Vt, tidal volume; VV, venovenous; VC, volume control.
Figure 6Barriers and limitations of COVID-19 clinical management. (A) represents the (%) of barriers and limitations per continent. (B) represents the (%) of barriers and limitations corresponding to the overall responses.