| Literature DB >> 35599352 |
Alessandro Galazzi1, Filippo Binda1,2, Simone Gambazza1, Filippo Cantù3, Elisa Colombo4, Ileana Adamini1,2, Giacomo Grasselli2,3, Maura Lusignani5, Dario Laquintana1, Laura Rasero6.
Abstract
BACKGROUND: During the Coronavirus disease 2019 (COVID-19) pandemic, hospital visits were suspended and video calls were offered to connect patients with their family members, especially toward the end of life (EoL). AIM: The primary aim was to describe EoL care for COVID-19 patients dying in an intensive care unit (ICU). The secondary aim was to explore whether making video calls and allowing visits was associated with lower death-related stress in family members.Entities:
Keywords: COVID-19; critical care; end-of-life care; stress; visitors to patients
Year: 2022 PMID: 35599352 PMCID: PMC9348431 DOI: 10.1111/nicc.12783
Source DB: PubMed Journal: Nurs Crit Care ISSN: 1362-1017 Impact factor: 2.897
Characteristics of patients who died in the ICU (n = 70)
| Characteristic | No. (%) or mean (SD) |
|---|---|
| Age (years) | 64.7 (10.9) |
| Sex | |
| Male | 56 (80%) |
| Female | 14 (20%) |
| Ethnicity | |
| Caucasian | 63 (90%) |
| Hispanic | 5 (7.1%) |
| Asian | 2 (2.9%) |
| Occupation | |
| Retired | 44 (62.9%) |
| Worker | 26 (37.1%) |
| BMI | 28.8 (4.9) |
| At least one comorbidity | 62 (88.6%) |
| SOFA | 5.7 (2.7) |
| Pressure sores at ICU admission | 12 (17.1%) |
| ICU length of stay (days) | 21.1 (20.7) |
| Ventilation (days) | 21.5 (21) |
| Tracheotomy | 9 (12.9%) |
| Prone position | 57 (81.4%) |
Abbreviations: BMI, body‐mass index (weight in kg divided by height in meters squared); ICU, intensive care unit; SD, standard deviation; SOFA, sequential organ failure assessment.
Treatment and medical devices at the end of life (n = 70)
| Treatment | No. (%) |
|---|---|
| Analgesia | 70 (100) |
| Sedation | 70 (100) |
| NMBA | 55 (78.6) |
| Enteral nutrition | 69 (98.6) |
| Prone positioning | 13 (18.6) |
| CRRT | 11 (15.7) |
| ECMO | 5 (7.1) |
|
| |
| Artificial airway | 69 (98.6) |
| Arterial catheter | 70 (100) |
| Central venous catheter | 70 (100) |
| CRRT venous catheter | 15 (21.4) |
| Peripherical venous catheter | 13 (18.6) |
| Swan‐Ganz catheter | 10 (14.3) |
| Urinary catheter | 70 (100) |
| Nasogastric tube | 69 (98.6) |
| Intrarectal faecal collection system | 8 (11.4) |
Abbreviations: CRRT, continuous renal replacement therapy; ECMO, extra corporeal membrane oxygenation; NMBA, neuromuscular blocking agents.
Characteristics of family members (n = 56)
| Characteristic | No. (%) or mean (SD) |
|---|---|
| Age (years) | 52.8 (14.4) |
| Sex | |
| Female | 48 (85.7%) |
| Male | 8 (14.3%) |
| Relationship with the patient | |
| Offspring | 25 (44.6%) |
| Spouse | 22 (39.3%) |
| Sibling | 5 (8.9%) |
| Friend | 3 (5.4%) |
| Uncle | 1 (1.8%) |
| Video call made | 28 (50%) |
| ICU visit made | 6 (10.7%) |
| IES‐R | |
| Total score | 39.3 (14.7) |
| Avoidance subscore | 11.2 (5.6) |
| Intrusion subscore | 20.6 (6.3) |
| Hyperarousal subscore | 7.5 (5.8) |
| Total score <22 | 7 (12.5%) |
| Total score ≥22 and <33 | 11 (19.6%) |
| Total score ≥33 | 38 (69.7%) |
Abbreviations: ICU, intensive care unit; IES‐R, Impact of Event Scale‐Revised; SD, standard deviation.
FIGURE 1Biplot of individuals and variables in two multiple correspondence analysis (MCA) dimensions. Blue dots denote individuals interviewed with a negative IES‐R score, whereas red dots denote individuals with a positive IES‐R score. MCA refers to the time of death (month‐year: Mar‐20, Apr‐20, May‐20, Jun‐20, Jul‐20, Sep‐20, Oct‐20, Nov‐20, Dec‐20, Jan‐21, Feb‐21), degree of kinship with the patient (friends, spouses, offspring, siblings, uncle), and patient (PT) or interviewed relative's (R) age. Age is reported as quartiles. Age for PT: PT[29.8,61.3), PT[61.3,66.4), PT[66.4,72.4), PT[72.4,81.2]; age for interviewed relatives: R[28,42), R[42,55), R[55,67), R[67,74].“(“or”)” and “[“or”]” denote open and closed intervals. The Dim1 axis (i.e., “degree of kinship”) is the first dimension along which the sample shows the largest variation, whereas the Dim2 axis (i.e., “age”) is the second‐largest dimension and it is orthogonal to Dim1, which explains 12.3% of the variation in the data