| Literature DB >> 32429249 |
Benedikt Preckel1,2, Marcus J Schultz2,3,4,5, Alexander P Vlaar2,3, Abraham H Hulst1, Jeroen Hermanides1, Menno D de Jong6, Wolfgang S Schlack1, Markus F Stevens1, Robert P Weenink1, Markus W Hollmann1,2.
Abstract
When preparing for the outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and the coronavirus infection disease (COVID-19) questions arose regarding various aspects concerning the anaesthetist. When reviewing the literature it became obvious that keeping up-to-date with all relevant publications is almost impossible. We searched for and summarised clinically relevant topics that could help making clinical decisions. This is a subjective analysis of literature concerning specific topics raised in our daily practice (e.g., clinical features of COVID-19 patients; ventilation of the critically ill COVID-19 patient; diagnostic of infection with SARS-CoV-2; stability of the virus; Covid-19 in specific patient populations, e.g., paediatrics, immunosuppressed patients, patients with hypertension, diabetes mellitus, kidney or liver disease; co-medication with non-steroidal anti-inflammatory drugs (NSAIDs); antiviral treatment) and we believe that these answers help colleagues in clinical decision-making. With ongoing treatment of severely ill COVID-19 patients other questions will come up. While respective guidelines on these topics will serve clinicians in clinical practice, regularly updating all guidelines concerning COVID-19 will be a necessary, although challenging task in the upcoming weeks and months. All recommendations during the current extremely rapid development of knowledge must be evaluated on a daily basis, as suggestions made today may be out-dated with the new evidence available tomorrow.Entities:
Keywords: COVID-19; SARS-CoV-2; antiviral therapy; emergency care; intubation; ventilation
Year: 2020 PMID: 32429249 PMCID: PMC7291059 DOI: 10.3390/jcm9051495
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.241
Comparison of ARDS features in Covid-19 patients and non-Covid-19 patients.
| COVID-19 ARDS | Classic ARDS as Response to Systemic Infection or Inflammation |
|---|---|
| Focal, i.e., non-recruitable lung lesions | Non-focal, recruitable lung lesions |
| Lower PEEP | Higher PEEP |
| Recruitment manoeuvres | |
| Intermediate tidal volumes | Low tidal volumes |
| Early prone positioning | Prone positioning later during process, as rescue option |
ARDS: acute respiratory distress syndrome; PEEP: positive end-expiratory pressure.
A useful checklist performed during nursing shifts.
| Check Hourly, Report with Every Nursing Shift or More Frequent | What and How to Adjust |
|---|---|
| VT; report absolute VT, and VT in ml per kg predicted bodyweight | Is VT sufficiently low, i.e., < 6 mL/kg predicted bodyweight? If the driving pressure is >15 cm H2O, or rises, consider further limitation of VT; |
| FiO2 and PEEP; report changes over last hours | Are FiO2 and PEEP sufficiently low? PEEP higher than 10–12 cm H2O is generally not necessary. Reduction of PEEP should be considered if the driving pressure is > 15 cm H2O, or rises |
| Prone positioning; report start, planned time of turning | Is the prone position applied correctly (i.e., sufficiently long); and agree with the nursing staff on the time for turning; |
| Any deviations; reasons, solutions | If deviated from the above, the rationale should be documented in the record files; |
| Any patient-specific issues | In individual cases, specific interventions might have shown to be beneficial to the patient, such as a certain positioning (like a left or a right front crawl position when in the prone position), need for use of short–term additional sedation or muscle relaxation (the colleagues in the next shift can use this information and apply the interventions correctly). |
VT: tidal Volume; FiO2: inspiratory oxygen fraction.
Figure 1Detection of the virus in clinical specimens or detection of specific antibodies in blood. PCR: polymerase chain reaction, IgM: Immunoglobulin M; IgG: Immunoglobulin G.
Cohorts including data on diabetes mellitus in the current literature.
| Cohort | Hospital | Size of Cohort ( | Percentage Patients with Diabetes Mellitus |
|---|---|---|---|
| Wuhan [ | Jin Yin-tan | 99 | 12% |
| Wuhan [ | Jin Yin-tan | 41 | 20% |
| Wuhan [ | Zhongnan | 138 | 10% |
| Wuhan [ | Jin Yin-tan + Wuhan pulmonary | 191 | 19% |
| Wuhan [ | No. 7 | 140 | 12% |
| Wuhan-ICU [ | Jin Yin-tan | 52 | 17% |
| China [ | - | 72,314 | 5% |
| China [ | - | 1099 | 7% |
| Washington State [ | Evergreen | 21 | 33% |
| Italy [ | - | 355 | 36% |
| Singapore [ | - | 18 | 6% |
| Netherlands a | - | 2510 | 13% |
a: RIVM. Epidemiologische Situatie COVID-19 in Nederland 25 Maart 2020.
Figure 2Upper panel: number of patients with DM (hospitalized and deceased) in patients with COVID-19 for different age groups; Lower panel: number of patients with DM in the general Dutch population for different age groups.