| Literature DB >> 36091872 |
Eva Mateo Rodríguez1, Francesc Puchades Gimeno2, Aida Ezzeddine Angulo3, Juan Asensio Samper1, Cristina Saiz Ruiz1, María Dolores López Alarcón1.
Abstract
Introduction: Postintensive care syndrome (PICS) is the physical, cognitive or psychiatric deterioration that appears after a critical illness and persists beyond hospital admission. The objective of this study was to describe the prevalence of PICS in the patients with coronavirus disease 2019 (COVID-19) admitted to the intensive care unit of the Consorcio Hospital General Universitario de Valencia. Patients: They benefited from a standardized assessment, addressing health-related quality of life (EuroQol-5D-3L), a physical status (6 MWT, "test up and go" and hand dynamometer), a nutritional assessment (MUST and the Global Subjective Assessment), cognitive impairment (MoCA), mental health disorders (HADS and Davidson Trauma Scale) and pain (visual analogue scale and DN4).Entities:
Keywords: COVID-19; Chronic pain; Critical care; Post-intensive care syndrome; Rehabilitation; Sequelae
Year: 2022 PMID: 36091872 PMCID: PMC9441718 DOI: 10.1016/j.medcle.2021.11.013
Source DB: PubMed Journal: Med Clin (Engl Ed) ISSN: 2387-0206
Tests and test results.
| Test | Evaluation | Results |
|---|---|---|
| Euroqol-5D-3L test | Mobility | 1.5 |
| 1 = “no (I do not have) problems” | ||
| 2 = “some or moderate problems” | ||
| 3 = “a lot of problems” | ||
| Personal care | 1.1 | |
| Daily activities | 1.6 | |
| Pain or discomfort | 1.6 | |
| Anxiety or depression | 2 | |
| EQ-VAS | > 60% | |
EQ-VAS: global health status assessment; MoCA: Montreal cognitive assessment.
Normal quantitative variables are expressed as mean and standard deviation (SD) and non-quantitative variables as median and interquartile range (IQR).
Percentage relative to the reference values using a digital dynamometer that measures the average newtons of the maximum grip strength performed, indexed by age and gender.
Characteristics of the patients and their admission to the ICU-anaesthesiology department.
| Patient characteristics (n = 29) | |
|---|---|
| 63 SD 10 | |
| 28 SD 5 | |
| Male 16 (55.2%) | |
| Basics | 15 (52%) |
| Bachelor | 4 (14%) |
| University students | 10 (35%) |
| HTN | 12 (41%) |
| DM | 4 (14%) |
| DLP | 10 (35%) |
| Hypothyroidism | 4 (14%) |
| Other | 14 (48.3) |
| No known previous pathology | 7 (24%) |
| ICU days | 24 (IQR 12−36) |
| SOFA ICU admission | 3 (IQR 3−5) |
| Total ventilation days | 18 (IQR 7−31) |
| NIMV | 0 |
| HFO | 62% (18) |
| Non-rebreather mask | 21% (6) |
| Tracheostomy | 52% (15) 8 (IQR 0−23) |
| Proning | 93% (27) 3 (IQR 3−4) |
| RRT | 10% (3) |
| Corticosteroids | 83% (24) |
| Hyperglycaemia | 14% (4) |
| Vasoactive drugs | 66% (19) |
| Neuromuscular relaxation | 38% (11) |
| Dysfunction of 2 or more organs | 45% (13) |
| Remdesivir | 3.4% (1) |
| Anakinra | 6.9% (2) |
| Hyperimmune plasma | 0 |
| Tocilizumab | 69% (20) |
Normal quantitative variables are expressed as mean and standard deviation (SD) and non-quantitative variables as median and interquartile range (IQR).
DM: diabetes mellitus; DLP: dyslipidaemia; HTN: hypertension, HFO: high-flow oxygen; SOFA: Sequential Organ Failure Assessment; RRT: renal replacement therapy; ICU: critical care unit; IMV: days of invasive mechanical ventilation; VMK: oxygen through mask; NIMV: non-invasive mechanical ventilation.