The impact of age on intensive care

Meeting complex multidimensional needs in older patients and their families during and beyond critical illness

PURPOSE OF REVIEW

To highlight the emerging crisis of critically ill elderly patients and review the unique burden of multidimensional morbidity faced by these patients and caregivers and potential interventions.

RECENT FINDINGS

Physical, psychological, and cognitive sequelae after critical illness are frequent, durable, and robust across the international ICU outcome literature. Elderly patients are more vulnerable to the multisystem sequelae of critical illness and its treatment and the resultant multidimensional morbidity may be profound, chronic, and significantly affect functional independence, transition to the community, and quality of life for patients and families. Recent data reinforce the importance of baseline functional status, health trajectory, and chronic illness as key determinants of long-term functional disability after ICU. These risks are even more pronounced in older patients.

SUMMARY

The current article is an overview of the outcomes of older survivors of critical illness, putative interventions to mitigate the long-term morbidity of patients, and the consequences for families and caregivers. A multimodal longitudinal approach designed to follow patients for one or more years may foster a better understanding of multidimensional morbidity faced by vulnerable older patients and families and provides a detailed understanding of recovery trajectories in this unique population to optimize outcome, goals of care directives, and ongoing informed consent to ICU treatment.

Skin tears in older patients in intensive care units: A multicentre point prevalence study

BACKGROUND

With the ageing of the global population, it is predicted that the population of older adult patients in hospitals and intensive care units (ICUs) will increase. Because of health conditions, care practices and ageing-related skin changes, older adult ICU patients are prone to skin integrity problems, including skin tears (STs).

AIM

To determine the prevalence of STs and associated factors in older patients hospitalized in ICUs.

STUDY DESIGN

The study is a regional, multicentre, point prevalence study conducted in five centres in the five largest cities in terms of population in the Central Anatolia Region of Türkiye. Data were collected simultaneously in each centre on the same day. The list of patients hospitalized in the ICUs on the day of data collection was drawn up, and 200 patients who were 65 years of age or older, were hospitalized in ICUs and agreed to participate in the research were included. The researchers formed an "ST chart" to record patient demographic characteristics, clinical variables and skin assessment.

RESULTS

STs were detected in 14.5% of patients in ICUs, with 72.5% of them having stage 1 ST. A significant relationship was found between individuals' average body mass index (BMI) (p = .043), age (p = .014), length of stay in the ICU (p = .004) and having ST. There was also a statistically significant relationship between skin temperature (p = .002), skin turgor (p = .001) and ST. More STs were observed in patients with cold skin and low turgor. The prevalence of ST was higher in individuals with a history of ST. Additionally, there was a statistically significant relationship between consciousness (p = .014), incontinence (p = .006), the Braden score (p = .004), the Itaki fall risk score (p = .006) and ST.

CONCLUSIONS

In this multicentre point prevalence study, the prevalence of ST in older patients in ICUs was 14.5%, and many factors associated with ST have been identified.

RELEVANCE TO CLINICAL PRACTICE

Given the insufficient information and attention to STs in older adults, the study emphasizes the importance of addressing STs. The impact of STs includes increased treatment costs, length of stay and risk of complications. Therefore, understanding the global extent of STs in ICUs and developing effective interventions for prevention and management are crucial.

The impact of hospital saturation on non-COVID-19 hospital mortality during the pandemic in France: a national population-based cohort study

BACKGROUND

A previous study reported significant excess mortality among non-COVID-19 patients due to disrupted surgical care caused by resource prioritization for COVID-19 cases in France. The primary objective was to investigate if a similar impact occurred for medical conditions and determine the effect of hospital saturation on non-COVID-19 hospital mortality during the first year of the pandemic in France.

METHODS

We conducted a nationwide population-based cohort study including all adult patients hospitalized for non-COVID-19 acute medical conditions in France between March 1, 2020 and 31 May, 2020 (1st wave) and September 1, 2020 and December 31, 2020 (2nd wave). Hospital saturation was categorized into four levels based on weekly bed occupancy for COVID-19: no saturation (< 5%), low saturation (> 5% and ≤ 15%), moderate saturation (> 15% and ≤ 30%), and high saturation (> 30%). Multivariate generalized linear model analyzed the association between hospital saturation and mortality with adjustment for age, sex, COVID-19 wave, Charlson Comorbidity Index, case-mix, source of hospital admission, ICU admission, category of hospital and region of residence.

RESULTS

A total of 2,264,871 adult patients were hospitalized for acute medical conditions. In the multivariate analysis, the hospital mortality was significantly higher in low saturated hospitals (adjusted Odds Ratio/aOR = 1.05, 95% CI [1.34-1.07], P < .001), moderate saturated hospitals (aOR = 1.12, 95% CI [1.09-1.14], P < .001), and highly saturated hospitals (aOR = 1.25, 95% CI [1.21-1.30], P < .001) compared to non-saturated hospitals. The proportion of deaths outside ICU was higher in highly saturated hospitals (87%) compared to non-, low- or moderate saturated hospitals (81-84%). The negative impact of hospital saturation on mortality was more pronounced in patients older than 65 years, those with fewer comorbidities (Charlson 1-2 and 3 vs. 0), patients with cancer, nervous and mental diseases, those admitted from home or through the emergency room (compared to transfers from other hospital wards), and those not admitted to the intensive care unit.

CONCLUSIONS

Our study reveals a noteworthy "dose-effect" relationship: as hospital saturation intensifies, the non-COVID-19 hospital mortality risk also increases. These results raise concerns regarding hospitals' resilience and patient safety, underscoring the importance of identifying targeted strategies to enhance resilience for the future, particularly for high-risk patients.

In-Hospital Triage

The intensive care unit (ICU) is a finite and expensive resource with demand not infrequently exceeding capacity. Understanding ICU capacity strain is essential to gain situational awareness. Increased capacity strain can influence ICU triage decisions, which rely heavily on clinical judgment. Having an admission and triage protocol with which clinicians are very familiar can mitigate difficult, inappropriate admissions. This article reviews these concepts and methods of in-hospital triage.

Outcomes and factors associated with prolonged stays among patients admitted to adult intensive care unit in a resource-limited setting: a multicenter chart review

The length of stay in an intensive care unit is used as a benchmark for measuring resource consumption and quality of care and predicts a higher risk of readmission. The study aimed to assess the outcome and factors associated with prolonged intensive care unit stays among those admitted to adult intensive care units of selected public hospitals in Addis Ababa from January 1, 2022, to December 31, 2022. A multicenter retrospective chart review was conducted involving 409 adult patients. Binary logistic regression was used to assess factors associated with a prolonged stay and chi-square tests were used to assess associations and differences in outcomes for prolonged stays. The study, involving 409 of 421 individuals, revealed a predominantly male (55.0%) and the median age of study participants was 38, with an interquartile range (27, 55). Approximately 16.9% experienced prolonged stays, resulting in a 43.5% mortality rate. After adjustments for confounders, there were significant associations with prolonged stays for sedative/hypnotics, readmission, and complications. The study revealed that for every six patients admitted to the intensive care unit, one patient stayed longer, with nearly half experiencing mortality, demanding increased attention. The study emphasized the critical need for improvement in addressing associations between sedative/hypnotics, readmissions, complications, and prolonged stays.

Adjusting the Split: Examining Complications After Emergency Exploratory Laparotomy in Older Adults

INTRODUCTION

Older adults experience higher rates of complications after an emergency exploratory laparotomy (EEL). To better understand the shift to an aging population in the United States, identifying how age may influence these complications in older patients is important. The current standard age category for older adult patients is ≥65. We analyzed postlaparotomy complications using a lower age split.

METHODS

A retrospective analysis was done on patients who required an EEL from October 2015 to December 2019 at an academic medical center. Patient demographics and hospital course variables were collected. Differences in complications in patients aged ≥/<55 y and ≥/<65 y were measured using univariate and multivariable analyses.

RESULTS

A total of 481 patients were reviewed. Both patient groups of ≥55 and ≥65 were typically male, White, had 3+ comorbidities, Medicare insurance, were retired, and presented in extremis to the emergency department. Patients aged ≥55 y had significant rates of pulmonary complications and inpatient mortality (odds ratio 2.2, 2.7, respectively). Patients aged ≥65 y had significant rates of genitourinary and cardiac complications (odds ratio 2.3, 1.8, respectively).

CONCLUSIONS

Patients aged ≥55 y undergoing EEL had higher odds of experiencing pulmonary complications and death during their index hospitalizations, which was not present with the standard ≥/<65-y-old patient analysis. Those aged ≥65 y experienced index genitourinary and cardiac complications. The ≥/<55 age split has a unique set of complications that should be considered. Given the increased odds of inpatient mortality and types of complications in patients aged ≥55 y, the current age split for older adults should be reconsidered.

The critically ill older patient with sepsis: a narrative review

Sepsis is a significant public health concern, particularly affecting individuals above 70 years in developed countries. This is a crucial fact due to the increasing aging population, their heightened vulnerability to sepsis, and the associated high mortality rates. However, the morbidity and long-term outcomes are even more notable. While many patients respond well to timely and appropriate interventions, it is imperative to enhance efforts in identifying, documenting, preventing, and treating sepsis. Managing sepsis in older patients poses greater challenges and necessitates a comprehensive understanding of predisposing factors and a heightened suspicion for diagnosing infections and assessing the risk of sudden deterioration into sepsis. Despite age often being considered an independent risk factor for mortality and morbidity, recent research emphasizes the pivotal roles of frailty, disease severity, and comorbid conditions in influencing health outcomes. In addition, it is important to inquire about the patient's preferences and establish a personalized treatment plan that considers their potential for recovery with quality of life and functional outcomes. This review provides a summary of the most crucial aspects to consider when dealing with an old critically ill patient with sepsis.

The 4M Model

Engaging the health care team, including older adults and their caregivers, with the Institute for Healthcare Improvement 4M Model can help ensure every older adult receives (1) optimal health care, (2) is not harmed by health care, and (3) is satisfied with their health care. The evidence-based 4 Ms Model includes 4 significant concepts specific to older adult care: What matters, Mentation, Mobility, and Medication. Unfortunately, clinicians do not consistently apply the 4 Ms Model when caring for older adults. Personalized, age-friendly care based on the 4 Ms Model can improve outcomes for older adult patients.

In-Hospital Mortality Prediction Model for Critically Ill Older Adult Patients Transferred from the Emergency Department to the Intensive Care Unit

Purpose

Studies on the prognosis of critically ill older adult patients admitted to the emergency department (ED) but requiring immediate admission to the intensive care unit (ICU) remain limited. This study aimed to develop an in-hospital mortality prediction model for critically ill older adult patients transferred from the ED to the ICU.

Patients and Methods

The training cohort was taken from the Medical Information Mart for Intensive Care IV (version 2.2) database, and the external validation cohort was taken from the Affiliated Dongyang Hospital of Wenzhou Medical University. In the training cohort, class balance was addressed using Random Over Sampling Examples (ROSE). Univariate and multivariate Cox regression analyses were performed to identify independent risk factors. These were then integrated into the predictive nomogram. In the validation cohort, the predictive performance of the nomogram was evaluated using the area under the curve (AUC) of the receiver operating characteristic curve, calibration curve, clinical utility decision curve analysis (DCA), and clinical impact curve (CIC).

Results

In the ROSE-balanced training cohort, univariate and multivariate Cox regression analysis identified that age, sex, Glasgow coma scale score, malignant cancer, sepsis, use of mechanical ventilation, use of vasoactive agents, white blood cells, potassium, and creatinine were independent predictors of in-hospital mortality in critically ill older adult patients, and were included in the nomogram. The nomogram showed good predictive performance in the ROSE-balanced training cohort (AUC [95% confidence interval]: 0.792 [0.783-0.801]) and validation cohort (AUC [95% confidence interval]: 0.780 [0.727-0.834]). The calibration curves were well-fitted. DCA and CIC demonstrated that the nomogram has good clinical application value.

Conclusion

This study developed a predictive model for early prediction of in-hospital mortality in critically ill older adult patients transferred from the ED to the ICU, which was validated by external data and has good predictive performance.

Clinical features and 28-day mortality predictors of vaccinated patients admitted to a COVID-19 ICU hub in Italy

BACKGROUND

COVID-19 vaccination has been proved to be effective in preventing hospitalization and illness progression, even though data on mortality of vaccinated patients in the intensive care unit (ICU) are conflicting. The aim of this study was to investigate the characteristics of vaccinated patients admitted to ICU according to their immunization cycle and to outline the risk factors for 28-day mortality. This observational study included adult patients admitted to ICU for acute respiratory failure (ARF) due to SARS-CoV-2 and who had received at least one dose of vaccine.

RESULTS

Fully vaccination was defined as a complete primary cycle from < 120 days or a booster dose from > 14 days. All the other patients were named partially vaccinated. One-hundred sixty patients (91 fully and 69 partially vaccinated) resulted eligible, showing a 28-day mortality rate of 51.9%. Compared to partially vaccinated, fully vaccinated were younger (69 [60-77.5] vs. 74 [66-79] years, p 0.029), more frequently immunocompromised (39.56% vs. 14.39%, p 0.003), and affected by at least one comorbidity (90.11% vs 78.26%, p 0.045), mainly chronic kidney disease (CKD) (36.26% vs 20.29%, p 0.035). At multivariable analysis, independent predictors of 28-day mortality were as follows: older age [OR 1.05 (CI 95% 1.01-1.08), p 0.005], history of chronic obstructive pulmonary disease (COPD) [OR 3.05 (CI 95% 1.28-7.30), p 0.012], immunosuppression [OR 3.70 (CI 95% 1.63-8.40), p 0.002], and admission respiratory and hemodynamic status [PaO2/FiO2 and septic shock: OR 0.99 (CI 95% 0.98-0.99), p 0.009 and 2.74 (CI 95% 1.16-6.48), p 0.022, respectively].

CONCLUSIONS

Despite a full vaccination cycle, severe COVID-19 may occur in patients with relevant comorbidities, especially immunosuppression and CKD. Regardless the immunization status, predisposing conditions (i.e., older age, COPD, and immunosuppression) and a severe clinical presentation were predictors of 28-day mortality.

Factors Affecting the Length of Stay in the Intensive Care Unit among Adults in Saudi Arabia: A Cross-Sectional Study

This study aimed to assess patient-related factors associated with the LOS among adults admitted to the ICU in Saudi Arabia. The Ministry of Health provided a cross-sectional dataset for 2021, which served as the data source for this study. The data included data on adults admitted to different ICUs at various hospitals. The number of days spent in the ICU was the outcome variable of interest. The potential predictors were age, sex, and nationality, as well as clinical data from the time of admission. Descriptive statistics and bivariate analysis were used to analyse the association between the predictors and the ICU LOS and characterize how they were distributed. We used negative binomial regression to examine the relationship between the study predictors and the ICU LOS. A total of 42,884 individuals were included in this study, of whom 25,520 were men and 17,362 were women. The overall median ICU LOS was three days. This study showed that the ICU LOS was highly influenced by the patient's age, sex, nationality, source of admission, and clinical history. Several predictors that affect how long adults stay in the ICU in Saudi Arabian hospitals were identified in this study. These factors can be attributed to variances in health care delivery systems, patient demographics, and cultural considerations. To allocate resources efficiently, enhance patient outcomes, and create focused treatments to reduce ICU LOS, it is essential to comprehend these elements.

Investigation of Serum Endocan Levels and Age in Critical Inflammatory Conditions

Aging negatively affects the endothelium. Endocan (ESM-1), an endothelium-derived soluble proteoglycan, participates in fundamental biological processes of endothelial cells. We aimed to examine the role of endothelial dysfunction and age in poor outcomes in critical illness. ESM-1 levels were measured in the sera of mechanically ventilated critically ill patients, including COVID-19, non-septic, and septic patients. The 3 patient cohorts were divided based on age (≥65 and <65). Critically ill COVID-19 patients had statistically higher ESM-1 levels compared to critically ill septic and non-septic patients. Only in critically ill septic patients were ESM-1 levels higher in older compared to younger patients. Finally, the age-subgrouped patients were further subdivided based on intensive care unit (ICU) outcome. ESM-1 levels were similar in COVID-19 survivors and non-survivors, irrespective of age. Interestingly, only for the younger critically ill septic patients, non-survivors had higher ESM-1 levels compared to survivors. In the non-septic survivors and non-survivors, ESM-1 levels remained unaltered in the younger patients and tended to be higher in the elderly. Even though endocan has been recognized as an important prognostic biomarker in critically ill patients with sepsis, in our patient cohort, increased age, as well as the extent of endothelial dysfunction, seemed to affect its prognostic ability.