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Published in final edited form as: Anaesth Intensive Care. 2024 Oct 12;52(6):386–396. doi: 10.1177/0310057X241264575

Skin Injury: Associations with variables related to Perfusion and Pressure

Christopher J Roberts 1,2,#,*, Jennifer A Popies 3,#, Abrahim N Razzak 1,2, Xi Fang 4, Octavio A Falcucci 1,5, Paul J Pearson 6, Aniko Szabo 4
PMCID: PMC11816658  NIHMSID: NIHMS2050763  PMID: 39394874

Abstract

Skin injuries are a major health care problem that are not well understood or prevented in the critically ill suggesting that underappreciated variables are contributing. This pilot study tested the hypothesis that perfusion-related factors contribute to skin injuries diagnosed as hospital acquired pressure injuries (HAPI). Over a total of 2,574 critical care days, 533 adult patients were followed that were 62.4±14.3 years and 36.4% female with a body mass index of 30.4±7.4kg/m2 in this secondary analysis of prospective, nonrandomized clinical data from an intensive care unit at a large urban teaching hospital. Factors related to perfusion, specifically two or more (2+) infusions of vasopressors/inotropes, temporary mechanical circulatory support (MCS), extracorporeal membrane oxygenation, and durable MCS, were analysed to determine if they were more strongly associated with HAPIs than immobility due to prolonged mechanical ventilation (>72hrs) or operating room time (>6hrs). Patients diagnosed with a HAPI had a statistically significant higher risk of being exposed to variables related to perfusion and immobility (p<0.05 for each variable). Perfusion-related variables, except durable MCS, had a larger effect on skin breakdown (NNH=4–10) than immobility-associated variables (NNH=12–17). The finding that perfusion-related variables predicted HAPIs may warrant consideration of alternative diagnoses, such as skin failure due to impaired perfusion as a pathophysiological process that occurs concurrently with multisystem organ failure. Differentiation of skin injuries primarily from circulatory malfunction, rather than external pressure, may guide the development of more effective treatment and prevention protocols. This pilot study suggests that the contribution of perfusion to skin injuries should be explored further.

Keywords: Critical illness, cardiovascular intensive care, pressure, perfusion, skin, wound, injury

Introduction

Skin breakdown in the critically ill has important implications for patient prognostication, recovery, morbidity, mortality, and family perception of care. The differential diagnosis for skin breakdown is broad, but pressure is a prevalent etiology and major problem in Australia1 and the United States2 with more than 350,000 and 2.5 million pressure injury cases per year, respectively contributing to over 60,000 deaths in the latter.3 The mortality risk associated with pressure injuries increases with the severity of pressure injury stage.4 Pressure injuries are also associated with increased pain scores, rates of infection, and length of stay (LOS).5, 6 Adult intensive care unit (ICU) patients are almost four times more likely to develop pressure injuries than their non-ICU acute care patient counterparts7 with an incidence estimated at 10–25%.810

Hospital acquired pressure injury (HAPI) cases, which are a designated nursing-sensitive quality indicator,11 carry a huge economic toll for critical care health systems and patients. The annual total cost of chronic wounds in Australia was estimated at $2.85 billion in 2012, which includes pressure injury costs of $1.64 billion.1 This is comparable with other populations, such as the United States where the total cost for HAPI cases is approximately $10 billion with a single HAPI incident costing hospitals up to approximately $70,000 not counting the impact of malpractice.3, 5, 12 As such, there have been various quality improvement initiatives and systematic reviews for HAPI prevention.1315 However, despite such initiatives, pressure injuries have persisted, which has shifted the focus to finding significant risk factors and predictive models for injuries.16, 17

Historically, the predictors and aetiologies of pressure injuries focused on sensory perception, moisture, mobility, nutrition, and shear.18, 19 These factors unfortunately have significant heterogeneity and subjectivity alongside poor specificity and predictive value.18, 19 This is likely because other factors have larger contributions to tissue survival, such as perfusion and oxygen delivery.9, 20, 21

The objective of the current study was to evaluate the association between perfusion with skin injuries classified as a HAPI. This hypothesis was tested in patients admitted to a cardiovascular intensive care unit (CVICU) by determining the correlation of factors related to perfusion / low flow states, such as infusions of two or more vasopressors/inotropes (2+ inotropes), temporary mechanical circulatory support (Temp MCS), extracorporeal membrane oxygenation (ECMO), and durable mechanical circulatory support (i.e., left ventricular assist device [LVAD]). These perfusion variables were analysed to determine if they were more strongly associated with skin injuries versus immobility due to prolonged mechanical ventilation or operating room (OR) time.

Methods

This cohort study was a secondary analysis of de-identified, prospective nonrandomized, before and after, clinical data. Adult patients were admitted to the CVICU at a large urban teaching hospital between 4/1/2018 to 6/30/2018 for the baseline group and 9/16/2019 to 12/15/2019 during the quality improvement initiative. The primary study during which data collection occurred was a nonrandomized, prospectively collected, before and after quality improvement project. The before group was a pressure mapping device study, which measured posterior pressure to identify patients at risk for skin injury, but had no intervention / pressure relieving features. The after group implemented an alternating pressure overlay device with the goal to decrease the incidence, progression, or severity of skin injuries due to pressure. The alternating pressure overlay device did not have an effect on skin injury outcomes (unpublished data). Institutional review board (IRB) approval was waived due to designation as a quality improvement initiative by the IRB / Human Research Protection Programs (PRO31758 and PRO35880 approved on 3/14/2018 and 9/16/2019, respectively). This quality improvement data was de-identified after collection as recommended by the data analysts and compliance division. All aspects of this study were performed in accordance with institutional ethical standards of the responsible conduct of human research and the 1975 Declaration of Helsinki.

Data was extracted from the electronic medical record or acquired during daily chart audits for types of pressure relieving surfaces and/or devices being used. Importantly, all the immobility and perfusion variables tested, as well as the comorbid conditions in the ICU, were present prior to and/or at the time the first skin injury developed. For example, the duration of mechanical ventilation might have been for 4 days or 2 weeks, but in either case there was greater than 72 hrs prior to the first skin injury. All standard pressure injuries risk assessments, skin assessments, and implementations were conducted in accordance with the hospital’s best practice bundle, including Braden Score, which consists of six subscales (sensory perception, moisture, activity, mobility, nutrition, friction/shear) and the total scores range from 6–23 with lower scores being worse.19 If a HAPI was suspected, the hospital approved procedure was followed by the bedside nurse, including documentation, notification, request for a wound, ostomy, and continence nurse consult, and Safety Event reporting. Patients with device-related skin injuries were not excluded from this study because no patient had only a device-related skin injury and not another unrelated skin injury.

Comparisons were made for demographics, comorbidities that were present on admission, conditions developed in the ICU, as well as the immobility and perfusion variables to be tested, including mechanical ventilation greater than 72 hrs (Vent > 72 hrs), cumulative OR time greater than 6 hrs (OR > 6 hrs), 2+ inotropes, Temp MCS (intra-aortic balloon pump, Impella, or Protek Duo), ECMO, and LVAD. Two or more inotropes was selected because prior literature has shown that variable is associated with skin injuries and might be more specific than a single inotrope.22 Descriptive statistics are presented as mean with standard deviation (SD), median with range for continuous variables, and counts with percentage for categorical ones. Between-group comparisons were performed using t-tests for continuous variables, Wilcoxon rank-sum tests for ordinal measures, and chi-square tests for categorical outcomes; exact versions of the tests were used when the expected counts were under 5 for at least one cell. Number needed to Harm (NNH) was calculated for each of the perfusion and immobility variables as the inverse of the risk difference between patients with and without the risk factor. Confidence intervals are presented using the method of Altman, et al.23

Results

The final study cohort included 533 patients admitted to the CVICU and followed over approximately 2,574 critical care days. The patients had a mean age of 62.4±14.3 years, a mean BMI of 30.4±7.4kg/m2, and were 36.4% female (Table 1), which were similar between the groups that were and were not diagnosed with a new or worsened HAPI. The primary service for these patients was primarily 103 (39.2%) cardiothoracic surgery (CTS), 82 (31.2%) cardiology, 35 (13.3%) critical care anaesthesia (CCA), or 30 (11.4%) critical care medicine (CCM). Comorbidities and characteristics of pressure injuries present on admission were similar between the groups that were and were not diagnosed with a new or worsened HAPI while in the ICU (Table 2). There was a total of 17 unique patients in this cohort that were diagnosed with new or worsened HAPIs while in the ICU (Table 3), which represents a 3.2% incidence per patient admission, or 6.6 patients diagnosed with HAPIs per 1000 critical care days.

Table 1. Demographics and characteristics.

Patients admitted that did or did not develop a new or worsened skin injury diagnosed as a hospital acquired pressure injury (HAPI) while in the ICU had the following characteristics.

New or worsened HAPI
Variables Total
N=533
No
N=516
Yes
N=17
P Value
Age 0.339 T
 Mean ± SD 62.4 ± 14.3 62.5 ± 14.3 59.1 ± 13.1
 Median (min - max) 63.0 (19.0 – 93.0) 63.0 (19.0 – 93.0) 63.0 (19.0 – 93.0)
Sex 0.677 C
 Female 194 (36.4) 187 (36.2) 7 (41.2)
 Male 339 (63.6) 329 (63.8) 10 (58.8)
BMI (first after admission) 0.458 T
 Mean ± SD 30.4 ± 7.4 30.4 ± 7.4 31.7 ± 8.8
 Median (min - max) 29.1 (15.4 – 68.2) 29.1 (15.4 – 68.2) 30.0 (16.4 – 50.5)
BMI categorical 0.902 C+
 18.4 and less 15 (2.8) 14 (2.7) 1 (5.9)
 18.5 – 24.9 104 (19.5) 101 (19.6) 3 (17.6)
 25.0 – 29.9 168 (31.5) 164 (31.8) 4 (23.5)
 30.0 – 39.9 191 (35.8) 184 (35.7) 7 (41.2)
 40.0 and greater 55 (10.3) 53 (10.3) 2 (11.8)
Number of comorbid conditions Present <.001 W
 0 466 (87.6) 463 (89.9) 3 (17.6)
 1 44 (8.3) 41 (8.0) 3 (17.6)
 2+ 22 (4.1) 11 (2.1) 11 (64.7)
Sepsis <.001 C+
 Yes 32 (6.0) 20 (3.9) 12 (70.6)
Renal failure1 <.001 C+
 Yes 47 (8.8) 36 (7.0) 11 (64.7)
Liver failure <.001 C+
 Yes 11 (2.1) 7 (1.4) 4 (23.5)
Open abdomen <.001 C+
 Yes 6 (2.2) 3 (1.2) 3 (30.0)
Open chest <.001 C+
 Yes 13 (4.8) 9 (3.5) 4 (40)

Row values are reported as sample size (percent) unless otherwise indicated. Patient critical care conditions were compared using the TT-test; WWilcoxon rank-sum test; or CChi-square tests as indicated, where + denotes the exact version of the test.

Abbreviations: body mass index (BMI), hospital acquired pressure injury (HAPI).

1

New onset Continuous renal replacement therapy (CRRT) / Hemodialysis (HD) during ICU stay.

Table 2. Comorbidities present on admission.

Patients that did or did not develop a new or worsened skin injury diagnosed as a HAPI while in the ICU had the following conditions present on admission.

New or worsened HAPI
Variables Total
N=533
No
N=516
Yes
N=17
P Value
Number of Conditions 0.890 W
 0 335 (63.0) 324 (62.9) 11 (64.7)
 1 160 (30.1) 155 (30.1) 5 (29.4)
 2 34 (6.4) 34 (6.6) 0 (0.0)
 3+ 3 (0.6) 2 (0.4) 1 (5.9)
Pressure injury 0.627 C+
 Yes 39 (7.3) 37 (7.2) 2 (11.8)
Diabetes 0.501 C
 Yes 165 (31.0) 161 (31.2) 4 (23.5)
Vascular disease 0.620 C+
 Yes 36 (6.8) 34 (6.6) 2 (11.8)
Renal failure on HD/PD 1.000 C+
 Yes 26 (4.9) 25 (4.8) 1 (5.9)
Liver failure 0.230 C+
 Yes 8 (1.5) 7 (1.4) 1 (5.9)
Spinal cord injury 1.000 C+
 Yes 4 (0.8) 4 (0.8) 0 (0.0)
Pressure injury: sacrum/gluteal 0.169 C+
 Yes 28 (6.3) 26 (6.0) 2 (16.7)
Pressure injury: heel 1.000 C+
 Yes 5 (1.1) 5 (1.1) 0 (0.0)
Pressure injury: other 1.000 C+
 Yes 2 (0.8) 2 (0.8) 0 (0.0)

Row values are reported as sample size (percent) unless otherwise indicated. Patient comorbidities were compared using the WWilcoxon rank-sum test; or CChi-square tests as indicated. + denotes the exact version of the test.

Abbreviations: hospital acquired pressure injury (HAPI), intensive care unit (ICU), hemodialysis/peritoneal dialysis (HD/PD)

Table 3. Perfusion and Immobility Variables.

Patients that did or did not develop a new or worsened skin injury diagnosed as a HAPI while in the ICU were compared for clinical interventions that treat poor perfusion or are associated with prolonged immobility.

New or worsened HAPI
Variables Total
N=533
No
N=516
Yes
N=17
P Value
Perfusion variables 1
2+ inotropes1 <.001 C+
 Yes 100 (18.8) 88 (17.1) 12 (70.6)
Temp MCS <.001 C+
 Yes 51 (9.6) 44 (8.5) 7 (41.2)
ECMO <.001 C+
 Yes 31 (5.8) 21 (4.1) 10 (58.8)
LVAD 0.040 C+
 Yes 25 (4.7) 22 (4.3) 3 (17.7)
Immobility Variables 2
Vent > 72 hrs <.001 C
 Yes 277 (52.0) 260 (50.4) 17 (100.0)
OR > 6 hrs <.001 C+
 Yes 136 (25.5) 123 (23.8) 13 (76.5)

Row values are reported as sample size (percent) unless otherwise indicated. Patient distribution was compared using the CChi-square test where + denotes the exact version of the test.

1

Perfusion variables: 2+ inotropes, Temp MCS, ECMO, LVAD.

2

Immobility variables: Vent > 72 hrs, OR > 6 hrs.

Abbreviations: two or more vasopressors or inotropes (2+ inotropes), temporary mechanical circulatory support (Temp MCS), extracorporeal membrane oxygenation (ECMO), left ventricular assist device (LVAD); mechanical ventilation more than 72 hrs (Vent > 72 hrs), total operating room time greater than 6 hrs (OR > 6 hrs), hospital acquired pressure injury (HAPI).

Critical care conditions were significantly different between the groups that did or did not develop a new or worsened HAPI while in the ICU. Patients with HAPIs had significantly more hours of 2+ inotropes, hours of mechanical ventilation, comorbid conditions present in the ICU (sepsis, renal failure, liver failure; Table 1), longer ICU and hospital length of stay (eTable 1), hours dependent for mobility, times repositioned while dependent, lower Braden score on transfer, and greater hours with Braden mobility sub-score < 3 (eTable 2). Interventions to prevent HAPI were utilized more often in the group that developed injuries (eTable 2).

The distribution of patients that were managed with interventions to treat poor perfusion / low flow states or had clinical care associated with prolonged immobility was significantly different between patients developing a new or worse HAPI (Table 3). All perfusion and immobility variables tested, including 2+ inotropes, Temp MCS, ECMO, LVAD, Vent > 72 hrs, and total OR > 6 hrs, demonstrated significantly higher prevalence in the patients diagnosed with a new or worsened HAPI while in the ICU compared to those that did not (Table 3). The distribution of patients diagnosed with a new or worsened HAPI compared to those patients that were not, was significantly different in terms of the number that met perfusion or immobility criteria (Figure 1).

Figure 1. Number of Perfusion of Immobility Criteria in patients with and without a HAPI diagnosis.

Figure 1.

The distribution of patients in the HAPI and no HAPI groups are significantly different based on the number of perfusion or immobility criteria met (p <.001) according to the Wilcoxon rank-sum test. The number of patients in each group is identified within or immediately adjacent to the representative sub-column.

Therefore, a number-needed-to-harm (NNH) analysis for exposure to individual perfusion and immobility criteria was performed, which demonstrated 95% confidence intervals that did not include infinity, except for durable LVAD support (Table 4), consistent with their association to skin injury. The variables associated with perfusion, except LVAD, had a larger effect size on skin breakdown (NNH 4–10) than variables associated with immobility (NNH 12–17). Additionally, there was a significant increase in the risk of developing a skin injury when a patient was exposed to more than 3 of the perfusion or immobility criteria (Table 5).

Table 4.

Number-needed-to-harm (NNH) or benefit (NNB) for exposure to individual criteria to contribute to skin injury.

Comparison Variable NNH NNH
95% Confidence Interval
Vent > 72 hrs 16.3 (11, 30)
OR > 6 hrs 11.7 (7, 28)
2+ Inotropes 9.2 (6, 23)
Temp MCS 8.6 (5, 47)
ECMO 3.2 (2, 7)
LVAD 10.8 NNH 5 to ∞ to NNB 28

Criteria that may have a greater contribution of immobility are mechanical ventilation greater than 72 hrs (Vent > 72 hrs) and cumulative operating room time greater than 6 hrs (OR > 6 hrs), whereas, two or more vasopressor/inotrope infusions (inotropes 2+), temporary mechanical circulatory support (Temp MCS), ECMO, and LVAD may have a greater contribution of perfusion.

Table 5.

Number-needed-to-harm (NNH) or benefit (NNB) for exposure to multiple criteria to contribute to skin injury.

Number of Criteria NNH NNH
95% Confidence Interval
1 vs 0 115.0 NNH 39 to ∞ to NNB 121
2 vs 0 31.3 NNH 15 to ∞ to NNB 276
3 vs 0 16.7 NNH 8 to ∞ to NNB 172
4 vs 0 4.8 (3, 22)
5 vs 0 2.8 (2, 9)

Experiencing more than 3 criteria results in a significant increase in risk of developing a skin injury.

Discussion

These data are consistent with the hypothesis that malperfusion due to cardiogenic shock is associated with an increased risk of skin failure, defined here as a pathophysiological process that occurs concurrently with multisystem organ failure due to circulatory malfunction.2427 The presumption being that these criteria reflect a treatment for the underlying pathophysiological process, namely cardiogenic shock, rather than increasing the risk of skin injury themselves. Criteria that may have had a greater contribution of perfusion are 2+ inotropes, Temp MCS, ECMO, and LVAD, whereas mechanical ventilation > 72 hrs and cumulative OR time > 6 hrs may have had a greater contribution of immobility as a surrogate for prolonged exposure to pressure. The perfusion-related variables had a larger effect size than variables associated with immobility based on the NNH analysis. The exception to that pattern was the incidence of HAPI in patients with a durable LVAD, which was highly variable. This is likely because the trajectory of patients with a durable LVAD is bimodal such that some have no complications and thus are protected from skin injury, while others are plagued by coagulopathy, fluid shifts, and right ventricle failure that contribute to prolonged low flow states and decreased perfusion of all organs, including the skin. The NNH analysis also demonstrated that Temp MCS and ECMO had a lower NNH (suggesting a larger risk of skin injury) compared to 2+ inotropes, which could be interpreted as reflective of disease severity given that inotropes/vasopressors are often first line agents compared to MCS.

Preventing skin injuries has begun to evolve from pressure relieving interventions to optimizing skin perfusion and oxygenation, which has garnered increased attention and sophistication over the years.28 For example, skin perfusion pressure (SPP), defined as mean arterial pressure (MAP) minus tissue pressure has been studied to determine the SPP threshold for the restoration of microcirculatory or capillary flow that would promote wound healing or avoid skin failure.29 In a study of patients that underwent amputation, SPP ≥30 mmHg predicted complete healing in 90% of cases, while SPP <30 mmHg predicted the failure of healing in 75% of cases.30 In another study of patients with foot ulcers, almost all healed cases had values of SPP >27 mmHg and those that did not heal were mainly associated with severe infections.31 It would not be surprising if these thresholds were dependent on patient comorbidities. For example, the SPP threshold for detecting atherothrombosis complications in diabetic hemodialysis patients was found to be 10 mmHg lower than in non-diabetic hemodialysis patients.32 Notably, that study found cut-off points at 53 and 62 mmHg, which is substantially higher than most studies that investigated 30–40 mmHg thresholds for skin healing.29 While SPP values have been shown to be a good predictor of wound healing in patients with limb ischemia it is unknown the extent to which the SPP threshold in a limb ischemia patient population can be extrapolated to critically ill patients. For that matter, SPP might not be the ideal endpoint to target to protect the skin given that SPP would be a population-average target. Other non-invasive measures of skin blood flow using laser doppler or tissue oxygenation are being investigated that could be implemented to individualize care.

The skin is particularly vulnerable during critical illness since decreased systemic perfusion results in adaptive mechanisms to protect visceral organs at the expense of the cutaneous circulation.24, 28 Due to this, skin injuries are associated with multisystem organ failure and mortality, mostly as a marker of illness severity rather than as the cause of death.4, 3335 Consistent with that notion, peripheral tissue perfusion is associated with organ failure and death in out-of-hospital cardiac arrest patients.36 While there is extensive literature on the hemodynamic parameters that predict mortality,37, 38 there is limited literature on specific perfusion variables and their thresholds for predicting skin failure or wound healing. Interestingly, the skin has been used as an endpoint to determine resuscitation efficacy based on increases to both skin blood flow and oxygen consumption for patients in shock, the majority of which were septic.39, 40 Notably, skin perfusion is further diminished in the setting of tissue edema due to fluid overload, which increases the risk of mortality41 and likely increases the risk of skin injury, similar to edema in other organs.42 Also, it is not yet known whether different etiologies of multisystem organ failure have unique thresholds for optimizing tissue oxygenation to protect against skin injury. It would be reasonable to hypothesize that different diagnoses might have different thresholds because the underlying pathophysiology is distinct. This would be logical, but there are arguments supporting and refuting that hypothesis. Supporting the theory that thresholds will be different is that there are different underlying mechanisms. For example, even within distributive shock states, those induced by elevations in nitric oxide, such as sepsis, burns, or pancreatitis, might respond differently than adrenal insufficiency or anaphylaxis as vasodilatory states. Even though all of the above distributive conditions are regularly temporized with similar vasopressors, they respond differently to treatments. For example, nitric oxide-mediated shock states respond well to anti-vasodilators, such as methylene blue and hydroxocobalamin (discussed further below). Also, increasing doses of norepinephrine to target higher MAPs can improve cutaneous microvascular flow and tissue oxygenation in sepsis,43 but the same approach may be harmful in cardiogenic shock. Of note, vasopressors / inotropes, do not necessarily restore normal flow to the microcirculation44, 45 or autonomic control of specific vascular beds.46 Likewise, the limited evidence in humans on whether current pulsatile flow technology improves patient-oriented outcomes primarily comes from cardiopulmonary bypass, which suggests that continuous non-pulsatile flow is mostly noninferior to pulsatile perfusion with the exception of marginal improvements on renal and pulmonary outcomes.47, 48 These findings are, of course, in contrast to the durable LVAD literature which demonstrates that non-pulsatile flow is associated with compromised splanchnic blood flow, bowel ischemia, feeding intolerance, and gastrointestinal bleeds.4951 The literature related to ECMO, which support that pulsatility improves microvascular perfusion due to endothelial/glycocalyx and inflammatory mechanisms is relatively limited to canine studies.5254 However, in support of the alternative hypothesis, that the risk of skin failure is not based on the indication for critical care, there is some data, albeit from a few relatively small studies. First, skin blood flow changes were independent of etiology when comparing septic to cardiogenic/hypovolemic shock.38, 55, 56 Furthermore, decreased sublingual microvasculature perfusion is associated with organ failure and death in patients following out-of-hospital cardiac arrest36 and in septic shock.57 These similarities between post-cardiac arrest syndrome and septic shock have been proposed to be due to similar autonomic nervous system changes, namely decreased sympathovagal tone.58 Again, consistent with skin failure being a marker of disease severity across shock states of multiple etiologies. Unfortunately, although sublingual measurements are convenient, minimally invasive, and common in temporary MCS studies,59 skin perfusion does not correlate with sublingual microvascular flow index measurements, at least in septic patients.60 This highlights again that all microvascular beds and shock states are not equivalent, which is especially troublesome for the study of the microcirculation.

Cardiogenic shock states treated with the criteria defined in this study as perfusion variables are, of course, disproportionately present in CVICUs and that patient population may be at risk of skin injury that is refractory to Pressure Injury Prevention bundle interventions. While the presenting problem in patients treated with MCS devices is often cardiogenic shock, vasoplegia is also a major problem. As such, vasoconstrictors can be a life-saving treatment, but they are associated with risks,61 including increased rates of HAPI likely due to underlying disease severity and diverting blood away from the skin.62 The usage of anti-vasodilators, such as methylene blue and hydroxocobalamin, has increased in vasoplegic patients6365 because they are able to reduce dependency on vasopressors while improving overall hemodynamics, microvascular perfusion, hemodynamic coherence, and perfusion pressure.6668 In fact, approximately 50% of patients on ECMO with vasoplegia can be expected to respond to methylene blue with a 10% increase in MAP69 and hydroxocobalamin can treat refractory vasoplegia after cardiopulmonary bypass.7072 However, hydroxocobalamin has also been reported to interfere with multiple laboratory tests.73 Sepsis is the most common cause of distributive shock in an ICU setting, but this study could not control for sepsis as a covariate because 2+ inotropes could be reflective of treatment of distributive shock and so would have resulted in duplication of a similar variable in the analysis. As such, this data cannot be used to speculate about the relative risk of skin injury due to cardiogenic shock compared to distributive shock.44 Nevertheless, there is increasing evidence that nitric oxide pathways are disturbed in critically ill patients due to underlaying pathophysiology and current care, which can contribute to microvascular vasoconstriction.74, 75 As such, anti-vasodilators are promising treatments that may decrease the risk of skin injuries for CVICU patients, but larger randomized controlled trials are needed.

There are several other limitations of this study given that it represents prospectively collected data from patients admitted to a single ICU that was retrospectively analysed to understand the effects of HAPI in this facility. Ideally, this study would have had a derivation and validation cohort, but this was not feasible given the rarity of skin injuries. Another limitation is the risk of confounding due to unmeasured variables, particularly due to allocation bias (i,e., the group of patients with cardiogenic shock that developed a new or worsened HAPI had a common cause besides the tested criteria that was linked to perfusion deficits or immobility). As such, the associations found here cannot prove causation. This study did not include LOS as a covariate in the model because both LOS and HAPI are outcomes that mutually affect each other. Also, a proper analysis to statistically control for LOS would require data on the timing of HAPI development, which was not available in the dataset. Of note, the analysis considered the incidence of each criterion separately, but most of the patients either met none of the criteria (Figure 1; n=235) or met 2 or more criteria (n=182) with 115 patients (22%) meeting a single criterion. Of the group meeting only a single perfusion or immobility criterion, one patient was diagnosed with a HAPI. Thus, the effect of having exactly 1 criterion had an NNH 115, which was a weaker effect than any of the criteria by themselves (NNH 17 or lower), since many of those patients met 2+ criteria. The NNH analysis should be interpreted with caution, in the setting of a univariate analysis, because there are confounds that are not accounted for and therefore should be taken as a quantification of the effect size and confidence intervals of a single variable. A multivariable analysis is not feasible due to the rare incidence of HAPI (n=17) and the comparison with 6 perfusion/immobility criteria. The lack of a multivariate analysis greatly limits the confidence in these findings, which needs to be replicated in well-designed studies. Although the care in this ICU is standardized based on bundles and protocols, the findings might not be generalizable to other ICU patient populations even those that are predominantly treated with MCS. Many of these limitations are common for investigations into skin injuries due to the rarity of these events and heterogeneity between patients, which was attempted to be controlled in this study by limiting to a single ICU that primarily treats patients with cardiogenic shock.

While the data presented here are consistent with our hypothesis, the findings from this pilot study should be considered preliminary due to the above limitations. This investigation might be useful as a guide for well-designed, appropriately powered trials that can implement multivariate models to test the contribution of perfusion to skin failure. The DecubICUs study did not find an association between vasopressor use and skin injuries,4 but such a large-scale epidemiological study is not optimal for a targeted scientific question. Also, the DecubICUs study tested for any vasopressor use rather than two or more vasopressors as done in this study, which might be more specific for predicting skin injuries.

The incidence of skin injuries is likely to continue to increase given that advancements in critical care are allowing for the survival of an aging population with a higher severity of critical illness.76 The findings presented here suggest that cardiogenic shock variables may have a greater correlation with skin injuries compared to immobility or skin pressure variables. As such, skin failure is likely underdiagnosed, but notably the definition still needs consensus from interprofessional and multidisciplinary stakeholders.2427 Further studies are necessary to refine the variables tested to control for disease severity to determine which clinical variables are most amendable to interventions to optimize skin perfusion. Studies should also test if cardiogenic shock or distributive shock variables increase the risk of skin failure to a greater degree. Investigations into the pathophysiological conditions that contribute to skin failure in critically ill patients are essential so that personalized physiological endpoints can be targeted with individualized treatments.

Supplementary Material

Supplemental Data

Acknowledgements

The authors would like to thank the entire interprofessional and multidisciplinary team that serves patients and their families in the CVICU for tirelessly striving to deliver exceptional care and for their support of the data collection used in this project as well as in clinically piloting the algorithm developed as a result.

Funding

This work was supported in part by the United States Department of Veterans Affairs Biomedical Laboratory Research and Development Service Career Development Award Number IK2 BX005600 (CJR) and by the Medical College of Wisconsin Departments of Anesthesiology and Surgery, Division of Cardiothoracic Surgery. The contents do not represent the views of the U.S. Department of Veterans Affairs, the United States Government, the Medical College of Wisconsin, or Froedtert Hospital.

Abbreviations

HAPI

hospital-acquired pressure injury

OR

operation room

CVICU

cardiovascular intensive care unit

LOS

length of stay

ICU

intensive care unit

ECMO

extracorporeal membrane oxygenation

Temp MCS

temporary mechanical circulatory support

LVAD

left ventricular assist device

BMI

body mass index

NNH

number needed to harm

SPP

skin perfusion pressure

MAP

mean arterial pressure

MCS

mechanical circulatory support

inotropes 2+

two or more vasopressor/inotrope infusions

Footnotes

Disclosures

The authors have no personal, professional, or financial conflict of interest. This manuscript is an honest, accurate and transparent account of the study and no important aspects have been omitted.

References

  • 1.Graves N, Zheng H. Modelling the direct health care costs of chronic wounds in Australia. Wound Practice & Research: Journal of the Australian Wound Management Association 2014;22:20. [Google Scholar]
  • 2.Stewart TP, Black JM, Alderden J, et al. The Past, Present, and Future of Deep-Tissue (Pressure) Injury. Adv Skin Wound Care 2022;35(2):78–80. [DOI] [PubMed] [Google Scholar]
  • 3.Padula WV, Pronovost PJ. Addressing the multisectoral impact of pressure injuries in the USA, UK and abroad. BMJ Qual Saf 2018;27(3):171–173. [DOI] [PubMed] [Google Scholar]
  • 4.Labeau SO, Afonso E, Benbenishty J, et al. Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study. Intensive Care Med 2021;47(2):160–169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Bennett RG, O’Sullivan J, DeVito EM, et al. The increasing medical malpractice risk related to pressure ulcers in the United States. J Am Geriatr Soc 2000;48(1):73–81. [DOI] [PubMed] [Google Scholar]
  • 6.Kottner J, Cuddigan J, Carville K, et al. Prevention and treatment of pressure ulcers/injuries: The protocol for the second update of the international Clinical Practice Guideline 2019. J Tissue Viability 2019;28(2):51–58. [DOI] [PubMed] [Google Scholar]
  • 7.Coyer F, Miles S, Gosley S, et al. Pressure injury prevalence in intensive care versus non-intensive care patients: A state-wide comparison. Aust Crit Care 2017;30(5):244–250. [DOI] [PubMed] [Google Scholar]
  • 8.Chaboyer WP, Thalib L, Harbeck EL, et al. Incidence and Prevalence of Pressure Injuries in Adult Intensive Care Patients: A Systematic Review and Meta-Analysis. Crit Care Med 2018;46(11):e1074–e1081. [DOI] [PubMed] [Google Scholar]
  • 9.Manzano F, Navarro MJ, Roldán D, et al. Pressure ulcer incidence and risk factors in ventilated intensive care patients. J Crit Care 2010;25(3):469–476. [DOI] [PubMed] [Google Scholar]
  • 10.Badia M, Trujillano J, Serviá L, et al. Skin lesions after intensive care procedures: Results of a prospective study. Journal of Critical Care 2008;23(4):525–531. [DOI] [PubMed] [Google Scholar]
  • 11.Gallagher RM, Rowell PA. Claiming the future of nursing through nursing-sensitive quality indicators. Nurs Adm Q 2003;27(4):273–284. [DOI] [PubMed] [Google Scholar]
  • 12.Padula WV, Mishra MK, Makic MB, et al. Improving the quality of pressure ulcer care with prevention: a cost-effectiveness analysis. Med Care 2011;49(4):385–392. [DOI] [PubMed] [Google Scholar]
  • 13.Barakat-Johnson M, Lai M, Stephenson J, et al. Efficacy of a heel offloading boot in reducing heel pressure injuries in patients in Australian intensive care units: A single-blinded randomised controlled trial. Intensive Crit Care Nurs 2022;70:103205. [DOI] [PubMed] [Google Scholar]
  • 14.Frank G, Walsh KE, Wooton S, et al. Impact of a Pressure Injury Prevention Bundle in the Solutions for Patient Safety Network. Pediatr Qual Saf 2017;2(2):e013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Reddy M, Gill SS, Rochon PA. Preventing pressure ulcers: a systematic review. Jama 2006;296(8):974–984. [DOI] [PubMed] [Google Scholar]
  • 16.Alderden J, Rondinelli J, Pepper G, et al. Risk factors for pressure injuries among critical care patients: A systematic review. Int J Nurs Stud 2017;71:97–114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Tschannen D, Anderson C. The pressure injury predictive model: A framework for hospital-acquired pressure injuries. J Clin Nurs 2020;29(7–8):1398–1421. [DOI] [PubMed] [Google Scholar]
  • 18.Delawder JM, Leontie SL, Maduro RS, et al. Predictive Validity of the Cubbin-Jackson and Braden Skin Risk Tools in Critical Care Patients: A Multisite Project. Am J Crit Care 2021;30(2):140–144. [DOI] [PubMed] [Google Scholar]
  • 19.Huang C, Ma Y, Wang C, et al. Predictive validity of the braden scale for pressure injury risk assessment in adults: A systematic review and meta-analysis. Nurs Open 2021;8(5):2194–2207. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Ahtiala MH, Soppi E, Kivimaki R. Critical Evaluation of the Jackson/Cubbin Pressure Ulcer Risk Scale - A Secondary Analysis of a Retrospective Cohort Study Population of Intensive Care Patients. Ostomy Wound Manage 2016;62(2):24–33. [PubMed] [Google Scholar]
  • 21.Sala JJ, Mayampurath A, Solmos S, et al. Predictors of pressure injury development in critically ill adults: A retrospective cohort study. Intensive Crit Care Nurs 2021;62:102924. [DOI] [PubMed] [Google Scholar]
  • 22.Bly D, Schallom M, Sona C, et al. A Model of Pressure, Oxygenation, and Perfusion Risk Factors for Pressure Ulcers in the Intensive Care Unit. Am J Crit Care 2016;25(2):156–164. [DOI] [PubMed] [Google Scholar]
  • 23.Altman DG. Confidence intervals for the number needed to treat. Bmj 1998;317(7168):1309–1312. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Mileski M, McClay R, Natividad J. Facilitating Factors in the Proper Identification of Acute Skin Failure: A Systematic Review. Crit Care Nurse 2021;41(2):36–42. [DOI] [PubMed] [Google Scholar]
  • 25.Langemo D, Parish LC. The Past, Present, and Future of Skin Failure. Adv Skin Wound Care 2022;35(2):81–83. [DOI] [PubMed] [Google Scholar]
  • 26.Langemo DK, Brown G. Skin fails too: acute, chronic, and end-stage skin failure. Adv Skin Wound Care 2006;19(4):206–211. [DOI] [PubMed] [Google Scholar]
  • 27.Levine JM, Delmore B, Cox J. Skin Failure: Concept Review and Proposed Model. Adv Skin Wound Care 2022;35(3):139–148. [DOI] [PubMed] [Google Scholar]
  • 28.Williams DT, Harding K. Healing responses of skin and muscle in critical illness. Critical Care Medicine 2003;31(8):S547–S557. [DOI] [PubMed] [Google Scholar]
  • 29.Pan X, Chen G, Wu P, et al. Skin perfusion pressure as a predictor of ischemic wound healing potential. Biomed Rep 2018;8(4):330–334. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Adera HM, James K, Castronuovo JJ Jr., et al. Prediction of amputation wound healing with skin perfusion pressure. J Vasc Surg 1995;21(5):823–828; discussion 828–829. [DOI] [PubMed] [Google Scholar]
  • 31.Kawai M, Mihara S, Takahagi S, et al. Evaluation of skin perfusion pressure to assess refractory foot ulcers. J Wound Care 2017;26(5):267–270. [DOI] [PubMed] [Google Scholar]
  • 32.Hiratsuka M, Koyama K, Yamamoto J, et al. Skin Perfusion Pressure and the Prevalence of Atherothrombosis in Hemodialysis Patients. Ther Apher Dial 2016;20(1):40–45. [DOI] [PubMed] [Google Scholar]
  • 33.Berlowitz DR, Wilking SV. The short-term outcome of pressure sores. J Am Geriatr Soc 1990;38(7):748–752. [DOI] [PubMed] [Google Scholar]
  • 34.Brown G Long-term outcomes of full-thickness pressure ulcers: healing and mortality. Ostomy Wound Manage 2003;49(10):42–50. [PubMed] [Google Scholar]
  • 35.Thomas DR, Goode PS, Tarquine PH, et al. Hospital-acquired pressure ulcers and risk of death. J Am Geriatr Soc 1996;44(12):1435–1440. [DOI] [PubMed] [Google Scholar]
  • 36.van Genderen ME, Lima A, Akkerhuis M, et al. Persistent peripheral and microcirculatory perfusion alterations after out-of-hospital cardiac arrest are associated with poor survival*. Critical Care Medicine 2012;40(8):2287–2294. [DOI] [PubMed] [Google Scholar]
  • 37.Forrester JS, Diamond GA, Swan HJ. Correlative classification of clinical and hemodynamic function after acute myocardial infarction. Am J Cardiol 1977;39(2):137–145. [DOI] [PubMed] [Google Scholar]
  • 38.Mongkolpun W, Orbegozo D, Cordeiro CPR, et al. Alterations in Skin Blood Flow at the Fingertip Are Related to Mortality in Patients With Circulatory Shock. Critical Care Medicine 2020;48(4):443–450. [DOI] [PubMed] [Google Scholar]
  • 39.Mongkolpun W, Gardette M, Cortés DO, et al. The utility of skin blood flow to identify the effects of fluids on oxygen consumption in shock. Journal of Critical Care 2017;42:397. [Google Scholar]
  • 40.Mongkolpun W, Gardette M, Orbegozo D, et al. An increase in skin blood flow induced by fluid challenge is associated with an increase in oxygen consumption in patients with circulatory shock. Journal of Critical Care 2022;69:153984. [DOI] [PubMed] [Google Scholar]
  • 41.Messmer AS, Zingg C, Müller M, et al. Fluid Overload and Mortality in Adult Critical Care Patients-A Systematic Review and Meta-Analysis of Observational Studies. Crit Care Med 2020;48(12):1862–1870. [DOI] [PubMed] [Google Scholar]
  • 42.Dekker NAM, van Leeuwen ALI, van de Ven PM, et al. Pharmacological interventions to reduce edema following cardiopulmonary bypass: A systematic review and meta-analysis. Journal of Critical Care 2020;56:63–72. [DOI] [PubMed] [Google Scholar]
  • 43.Jhanji S, Stirling S, Patel N, et al. The effect of increasing doses of norepinephrine on tissue oxygenation and microvascular flow in patients with septic shock*. Critical Care Medicine 2009;37(6):1961–1966. [DOI] [PubMed] [Google Scholar]
  • 44.Bateman RM, Walley KR. Microvascular resuscitation as a therapeutic goal in severe sepsis. Critical Care 2005;9(4):S27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Legrand M, De Backer D, Dépret F, et al. Recruiting the microcirculation in septic shock. Annals of Intensive Care 2019;9(1):102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Dean C, Seagard JL, Hopp FA, et al. Differential control of sympathetic activity to kidney and skeletal muscle by ventral medullary neurons. J Auton Nerv Syst 1992;37(1):1–10. [DOI] [PubMed] [Google Scholar]
  • 47.Hoefeijzers MP, ter Horst LH, Koning N, et al. The pulsatile perfusion debate in cardiac surgery: answers from the microcirculation? J Cardiothorac Vasc Anesth 2015;29(3):761–767. [DOI] [PubMed] [Google Scholar]
  • 48.Tan A, Newey C, Falter F. Pulsatile Perfusion during Cardiopulmonary Bypass: A Literature Review. J Extra Corpor Technol 2022;54(1):50–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Leebeek FWG, Muslem R. Bleeding in critical care associated with left ventricular assist devices: pathophysiology, symptoms, and management. Hematology Am Soc Hematol Educ Program 2019;2019(1):88–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.van der Merwe J, Paul E, Rosenfeldt FL. Early Gastrointestinal Complications From Ventricular Assist Devices is Increased by Non-Pulsatile Flow. Heart Lung Circ 2020;29(2):295–300. [DOI] [PubMed] [Google Scholar]
  • 51.Vedachalam S, Balasubramanian G, Haas GJ, et al. Treatment of gastrointestinal bleeding in left ventricular assist devices: A comprehensive review. World J Gastroenterol 2020;26(20):2550–2558. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Li G, Zeng J, Liu Z, et al. The Pulsatile Modification Improves Hemodynamics and Attenuates Inflammatory Responses in Extracorporeal Membrane Oxygenation. J Inflamm Res 2021;14:1357–1364. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Li G, Zhu S, Zeng J, et al. Arterial Pulsatility Augments Microcirculatory Perfusion and Maintains the Endothelial Integrity during Extracorporeal Membrane Oxygenation via hsa_circ_0007367 Upregulation in a Canine Model with Cardiac Arrest. Oxid Med Cell Longev 2022;2022:1630918. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Zhang Y, Zeng J, He X, et al. Pulsatility protects the endothelial glycocalyx during extracorporeal membrane oxygenation. Microcirculation 2021;28(7). [DOI] [PubMed] [Google Scholar]
  • 55.Orbegozo D, Mongkolpun W, Stringari G, et al. Skin microcirculatory reactivity assessed using a thermal challenge is decreased in patients with circulatory shock and associated with outcome. Ann Intensive Care 2018;8(1):60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Mongkolpun W, Bakos P, Vincent JL, et al. Monitoring skin blood flow to rapidly identify alterations in tissue perfusion during fluid removal using continuous veno-venous hemofiltration in patients with circulatory shock. Ann Intensive Care 2021;11(1):59. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Sakr Y, Dubois MJ, De Backer D, et al. Persistent microcirculatory alterations are associated with organ failure and death in patients with septic shock. Crit Care Med 2004;32(9):1825–1831. [DOI] [PubMed] [Google Scholar]
  • 58.Chen WL, Shen YS, Huang CC, et al. Postresuscitation autonomic nervous modulation after cardiac arrest resembles that of severe sepsis. Am J Emerg Med 2012;30(1):143–150. [DOI] [PubMed] [Google Scholar]
  • 59.Putowski Z, Pluta MP, Rachfalska N, et al. Sublingual Microcirculation in Temporary Mechanical Circulatory Support: A Current State of Knowledge. J Cardiothorac Vasc Anesth 2023. [DOI] [PubMed] [Google Scholar]
  • 60.Boerma EC, Kuiper MA, Kingma WP, et al. Disparity between skin perfusion and sublingual microcirculatory alterations in severe sepsis and septic shock: a prospective observational study. Intensive Care Medicine 2008;34(7):1294–1298. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Loubani OM, Green RS. A systematic review of extravasation and local tissue injury from administration of vasopressors through peripheral intravenous catheters and central venous catheters. Journal of Critical Care 2015;30(3):653.e659–653.e617. [DOI] [PubMed] [Google Scholar]
  • 62.McEvoy N, Patton D, Avsar P, et al. Effects of vasopressor agents on the development of pressure ulcers in critically ill patients: a systematic review. J Wound Care 2022;31(3):266–277. [DOI] [PubMed] [Google Scholar]
  • 63.Levy B, Fritz C, Tahon E, et al. Vasoplegia treatments: the past, the present, and the future. Crit Care 2018;22(1):52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Pasin L, Umbrello M, Greco T, et al. Methylene blue as a vasopressor: a meta-analysis of randomised trials. Crit Care Resusc 2013;15(1):42–48. [PubMed] [Google Scholar]
  • 65.Shapeton AD, Mahmood F, Ortoleva JP. Hydroxocobalamin for the Treatment of Vasoplegia: A Review of Current Literature and Considerations for Use. J Cardiothorac Vasc Anesth 2019;33(4):894–901. [DOI] [PubMed] [Google Scholar]
  • 66.Maurin C, Portran P, Schweizer R, et al. Effects of methylene blue on microcirculatory alterations following cardiac surgery: A prospective cohort study. Eur J Anaesthesiol 2022;39(4):333–341. [DOI] [PubMed] [Google Scholar]
  • 67.Secilmis MA, Ozu OY, Kiroglu OE, et al. The production of vasoconstriction-induced residual NO modulates perfusion pressure in rat mesenteric vascular bed. Perfusion 2014;29(6):488–495. [DOI] [PubMed] [Google Scholar]
  • 68.Tchen S, Sullivan JB. Clinical utility of midodrine and methylene blue as catecholamine-sparing agents in intensive care unit patients with shock. J Crit Care 2020;57:148–156. [DOI] [PubMed] [Google Scholar]
  • 69.Ortoleva J, Roberts RJ, Devine LT, et al. Methylene Blue for Vasoplegia During Extracorporeal Membrane Oxygenation Support. J Cardiothorac Vasc Anesth 2021;35(9):2694–2699. [DOI] [PubMed] [Google Scholar]
  • 70.Furnish C, Mueller SW, Kiser TH, et al. Hydroxocobalamin Versus Methylene Blue for Vasoplegic Syndrome in Cardiothoracic Surgery: A Retrospective Cohort. J Cardiothorac Vasc Anesth 2020;34(7):1763–1770. [DOI] [PubMed] [Google Scholar]
  • 71.Peyko V, Finamore M. Use of Intravenous Hydroxocobalamin without Methylene Blue for Refractory Vasoplegic Syndrome After Cardiopulmonary Bypass. Am J Case Rep 2021;22:e930890. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Vollmer N, Wieruszewski PM, Martin N, et al. Predicting the Response of Hydroxocobalamin in Postoperative Vasoplegia in Recipients of Cardiopulmonary Bypass. Journal of Cardiothoracic and Vascular Anesthesia 2022;36(8):2908–2916. [DOI] [PubMed] [Google Scholar]
  • 73.Cagle G, Greene RA. Hydroxocobalamin Interference With Chromogenic Anti-Xa Assay in a Patient on Mechanical Circulatory Support. Journal of Cardiothoracic and Vascular Anesthesia 2023. [DOI] [PubMed] [Google Scholar]
  • 74.Blot S Antiseptic mouthwash, the nitrate-nitrite-nitric oxide pathway, and hospital mortality: a hypothesis generating review. Intensive Care Med 2021;47(1):28–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Blot S, Labeau SO, Dale CM. Why it’s time to abandon antiseptic mouthwashes. Intensive Crit Care Nurs 2022;70:103196. [DOI] [PubMed] [Google Scholar]
  • 76.Eachempati SR, Hydo LJ, Barie PS. Factors influencing the development of decubitus ulcers in critically ill surgical patients. Critical Care Medicine 2001;29(9):1678–1682. [DOI] [PubMed] [Google Scholar]

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