APACHE II Death Risk and Length of Stay in the ICU Are Associated With Pressure Injury in Critically Ill Patients

Pressure ulcers during the COVID-19 pandemic in intensive care:A multicenter cohort study

AIM

The objective of the present study is twofold: to describe the prevalence and incidence of pressure ulcers (PUs) among ICU patients during the COVID-19 pandemic, and to identify the risk factors associated with the development of PUs in this cohort of ICU patients.

MATERIALS AND METHODS

Retrospective cohort study of adult critical care patients admitted in two general ICUs of two different countries (Sweden and Portugal) between March 1st, 2020, and April 30th, 2021, through the analysis of the electronic health record database. The prevalence and incidence were calculated, and a multivariate logistic-regression model was used to calculate odds ratios (ORs), of possible risk factors of PU development.

RESULTS

The sample consisted of 1717 patients. The overall prevalence of PU was 15.3 %, and the incidence of ICU-acquired PUs was 14.1 %. Most of the pressure ulcers documented in this study were at the anterior part of the body (45.35 %) and regarding classification, Category 2 (38.40 %) and Category 3 (22.71 %) pressure ulcers together accounted for over fifty percent of the cases recorded. In the multivariate logistic regression model for PU, age, having COVID-19 (OR = 1.58, 95 % CI: 1.20-2.09), use of mechanical ventilation (OR = 1.49, 95 % CI: 1.13 = 1.97), use of vasopressors (OR = 1.31, 95 % CI: 1.00-1.70), having a Braden risk score ≤16 at admission (OR = 1.63; 95 % CI: 1.04-2.56), and length of stay (LOS) (OR = 1.43, 95 % CI 1.03-2.00 if LOS 90-260 h, OR = 2.34, 95 % CI: 1.63-3.35 if LOS >260 h) were associated with the likelihood of developing an ICU-acquired PUs.

CONCLUSION

When adjusted for covariates patients with COVID-19 had a higher risk for PU development during the ICU stay compared to patients without COVID-19. Health care personnel in ICU may consider incorporating COVID-19, age, use of mechanical ventilation, vasopressors and estimated LOS in addition to a comprehensive risk assessment including both a risk score and clinical assessment.

Influence of severity of illnesses on risk of death in intensive care unit patients with severity of pressure injuries as mediating variable

This study was to verify whether the severity of pressure injuries (PIs) in intensive care unit (ICU) patients plays a mediating role in the relationship between severity of their illnesses and risk of death. I examined adult patients admitted to the ICUs between 1 January 2014 and 31 August 2021. The average follow-up period was 11.34 months. A total of 390 ICU patients suffered from PIs. The influences of the APACHE II score of the ICU patients on the mediating variable 'unstageable & DTPIs vs. Stage 1&2 PIs' and on risk of death were significant. After controlling the influence of APACHE II score on risk of death, the influences of mediating variables 'Stage 3&4 PIs vs. Stage 1&2 PIs' and 'unstageable & DTPIs vs. Stage 1&2 PIs' on risk of death were also significant. The regression coefficient of APACHE II score of the ICU patients declined after the severity of PIs was included. The Sobel test on the indirect effects also reached the level of significance. The severity of illnesses is a factor that is beyond my control, severe PIs should still be prevented to lower the risk of death.

Skin Failure Among Critically Ill Patients Afflicted with Coronavirus Disease 2019 (COVID-19)

Objective: To characterize skin integrity among coronavirus disease 2019 (COVID-19) patients treated in the intensive care unit (ICU), and identify risk factors for skin failure (SF) in these patients. Design: The characteristic, profound pro-inflammatory, hypercoagulable state of COVID-19 is manifested by the high severity of illness and extensive organ dysfunction observed in these patients. SF in critically ill patients, although described previously, exhibits a uniquely complex pathogenesis in this population. Patients: Retrospective review of all COVID-19 patients (confirmed positive for severe acute respiratory syndrome coronavirus-2 [SARS-CoV-2]) admitted to a single surgical ICU for at least 48 hours between March-June 2020. Interventions: Data were extracted from a COVID-19 institutional data repository that harvested data from electronic health records and other clinical data sources. Demographics; coagulation/inflammation biomarkers; number, location, and stage of SF lesions; resource utilization; and outcomes were captured. Measurements and Main Results: 64 patients met inclusion criteria; 51 (80%) developed SF (SF+ ). Forty-three (85%) developed stage 3 or higher SF (χ²  =  22.66, P < .0001). Thirty-nine of 51 (76%) SF+ patients developed more than one SF lesion (χ²  =  13.26, P  =  .0003). SF+ patients manifested a profound pro-inflammatory, hypercoagulable phenotype (lower serum albumin and higher ferritin, interleukin [IL]-6 and D-dimer concentrations [all, P < .001]). Durations of mechanical ventilation, vasopressor therapy, and ICU length of stay were significantly longer (all, P < .05) in the SF + patients. Conclusions: The unique characteristics of COVID-19 dermatopathology and the strong correlation between markers of inflammation and development of SF reflect COVID-19-related organ dysfunction and its deleterious effects on the microcirculation. Considering that skin is invaded directly by SARS-CoV-2 and affected by COVID-19-related immune complex deposition and microthrombosis, SF may reflect disease as opposed to pressure injuries related to processes of care. In the context of COVID-19 critical illness, SF should not be considered a "never event."

Relationship between a pressure redistributing foam mattress and pressure injuries: An observational prospective cohort study

BACKGROUND AND PURPOSE

Pressure injuries remain a significant health care issue in various settings. The purpose of this study was to examine the relationship between a pressure redistributing foam mattress (PRFM) and the development of pressure injuries.

METHODS

This study employed an observational prospective cohort study design. We enrolled 254 participants from the intensive care unit who were at risk of developing pressure injuries. Participants were exposed to either a nonpressure redistributing foam mattress (NPRFM), which was the standard mattress used at the study site, or a PRFM made of viscoelastic, temperature-sensitive, polyurethane memory foam. The patients' assignment to either a PRFM or NPRFM was performed upon their admission, before the study eligibility screening. The relationship between the PRFM and the development of pressure injuries was studied using a logistic regression model.

RESULTS

The overall incidence of pressure injuries was 5.9% (15/254) in our study, with 1.6% (2/127) for participants who used a PRFM and 10.2% (13/127) for those using a NPRFM. After adjusting for potential confounding variables, use of a PRFM was associated with an 88% reduced risk of pressure injury development (OR = 0.12, 95% CI: 0.03, 0.56, P = 0.007). The use of a PRFM also contributed to a postponed occurrence of pressure injuries by 4.2 days on average in comparison with that of a NPRFM (P = 0.041).

CONCLUSIONS

A PRFM is associated with a significantly reduced incidence and postponed occurrence of pressure injuries. It is recommended to use a PRFM for patients at risk of developing pressure injuries.

Risk Factor Analysis and Risk Prediction Model Construction of Pressure Injury in Critically Ill Patients with Cancer: A Retrospective Cohort Study in China

Background

The aim of this study was to analyze the risk factors of pressure injury (PI) in critically ill patients with cancer to build a risk prediction model for PI.

Material/Methods

Between January 2018 and December 2019, a total of 486 critically ill patients with cancer were enrolled in the study. Univariate analysis and binary logistic regression analysis were used to explore risk factors. Then, a risk prediction equation was constructed and a receiver operator characteristic (ROC) curve analysis model was used for prediction.

Results

Of the 486 critically ill patients with cancer, 15 patients developed PI. Risk factors found to have a significant impact on PI in critically ill patients with cancer included the APACHE II score (P<0.001), semi-reclining position (P=0.006), humid environment/moist skin (P<0.001), and edema (P<0.001). These 4 independent risk factors were used in the regression equation, and the risk prediction equation was constructed as Z=0.112×APACHE II score +2.549×semi-reclining position +2.757×moist skin +1.795×edema–9.086. From the ROC curve analysis, the area under the curve (AUC) was 0.938, sensitivity was 100.00%, specificity was 83.40%, and Youden index was 0.834.

Conclusions

The PI risk prediction model developed in this study has a high predictive value and provides a basis for PI prevention and treatment measures for critically ill patients with cancer.

Pressure injury development in critically ill patients with a cervical collar in situ: A retrospective longitudinal study

Trauma patients with a serious injury to the head or neck can remain immobilised with a cervical collar (C-collar) device in situ and are subsequently exposed to device-related skin integrity threats. This study aimed to determine the incidence and risk factors associated with the development of C-collar-related pressure injures (CRPIs) in an intensive care unit. This retrospective longitudinal cohort study was conducted in an Australian metropolitan intensive care unit. Following ethical approval, data from patients over 18 years, who received a C-collar were retrieved over a 9-year period. Chi square and t-tests were used to identify variables associated with CRPI development. A logistic regression model was employed to analyse the risk factors. Data from 906 patients were analysed. Nine-year pressure injury incidence was 16.9% (n = 154/906). Pressure injury development directly associated with a C-collar increased by 33% with each repositioning episode (odds ratio 1.328, 95% confidence interval 1.024-1.723, P = .033). Time in the C-collar (10.4 to 2.5 days, P = .002) and length of stay in intensive care unit (ICU) (20.1 to 16.1 days, P < .001) were associated with pressure injury development. Patients with C-collar devices are a vulnerable group at risk for pressure injury development because of their immobility and length of ICU stay.