Post-intensive care syndrome as a predictor of mortality in patients with critical illness: A cohort study

Post intensive care syndrome: A review of clinical symptoms, evaluation, intervention

Post intensive care syndrome (PICS) is a typical complication of critically ill patients during or after their stay in intensive care unit (ICU), characterized by a high incidence and impairment rate. It significantly impacts the quality of life of patients and their families, as well as consumes a substantial amount of medical resources. Therefore, early intervention and assessment of PICS is crucial. This paper aims to provide clinical professionals with a reference base by focusing on the clinical symptoms, diagnostic assessment, and preventative measures of PICS.

Sepsis and COVID-19: outcomes in young adults in intensive care

OBJECTIVE

to verify sepsis incidence among young adults admitted to intensive care due to COVID-19 and to analyze its association with demographic, clinical and outcome variables.

METHODS

a quantitative, longitudinal, retrospective and analytical study, consisting of 58 adults aged 20 to 40 years in intensive care for SARS-CoV-2. It was carried out in a university hospital, from March 2020 to December 2021, with data collected from electronic medical records.

RESULTS

sepsis incidence was 65%. Sepsis was associated with acute kidney injury, use of vasoactive drugs and mechanical ventilation, being admitted to the emergency room, severity according to the Simplified Acute Physiology Score III and bacterial pulmonary co-infection, the latter being the most frequent etiology for sepsis.

CONCLUSIONS

there was a high sepsis incidence, with 42% of deaths, which points to the importance of investing in preventive measures, especially in relation to bacterial pulmonary coinfections.

Construction of a risk prediction model for detecting postintensive care syndrome-mental disorders

BACKGROUND

Postintensive care syndrome (PICS) has adverse multidimensional effects on nearly half of the patients discharged from ICU. Mental disorders such as anxiety, depression and post-traumatic stress disorder (PTSD) are the most common psychological problems for patients with PICS with harmful complications. However, developing prediction models for mental disorders in post-ICU patients is an understudied problem.

AIMS

To explore the risk factors of PICS mental disorders, establish the prediction model and verify its prediction efficiency.

STUDY DESIGN

In this cohort study, data were collected from 393 patients hospitalized in the ICU of a tertiary hospital from April to September 2022. Participants were randomly assigned to modelling and validation groups using a 7:3 ratio. Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis was performed to select the predictors, multiple logistic regression analysis was used to establish the risk prediction model, and a dynamic nomogram was developed. The Hosmer-Lemeshow (HL) test was performed to determine the model's goodness of fit. The area under the receiver operating characteristic (ROC) curve was used to evaluate the model's prediction efficiency.

RESULTS

The risk factors of mental disorders were Sepsis-related organ failure assessment (SOFA) score, Charlson comorbidity index (CCI), delirium duration, ICU depression score and ICU sleep score. The HL test revealed that p = .249, the area under the ROC curve = 0.860, and the corresponding sensitivity and specificity were 84.8% and 71.0%, respectively. The area under the ROC curve of the verification group was 0.848. A mental disorders dynamic nomogram for post-ICU patients was developed based on the regression model.

CONCLUSIONS

The prediction model provides a reference for clinically screening patients at high risk of developing post-ICU mental disorders, to enable the implementation of timely preventive management measures.

RELEVANCE TO CLINICAL PRACTICE

The dynamic nomogram can be used to systematically monitor various factors associated with mental disorders. Furthermore, nurses need to develop and apply accurate nursing interventions that consider all relevant variables.

High prevalence of pre-existing sarcopenia in critically ill patients with hematologic malignancies admitted to the intensive care unit for sepsis or septic shock

BACKGROUND & AIMS

We aimed to evaluate body composition (BC) by computed tomography (CT) in hematologic malignancy (HM) patients admitted to the intensive care unit (ICU) for sepsis or septic shock.

METHODS

We retrospectively assessed BC and its impact on outcome of 186 patients at the 3rd lumbar (L3) and 12th thoracic vertebral levels (T12) using CT-scan performed before ICU admission.

RESULTS

The median patient age was 58.0 [47; 69] years. Patients displayed adverse clinical characteristics at admission with median [q1; q3] SAPS II and SOFA scores of 52 [40; 66] and 8 [5; 12], respectively. The mortality rate in the ICU was 45.7%. Overall survival rates at 1 month after admission in the pre-existing sarcopenic vs. non pre-existing sarcopenic patients were 47.9% (95% CI [37.6; 61.0]) and 55.0% (95% CI [41.6; 72.8]), p = 0.99), respectively, at the L3 level and 48.4% (95% CI [40.4; 58.0]) vs. 66.7% (95% CI [51.1; 87.0]), p = 0.062), respectively, at the T12 level.

CONCLUSIONS

Sarcopenia is assessable by CT scan at both the T12 and L3 levels and is highly prevalent in HM patients admitted to the ICU for severe infections. Sarcopenia may contribute to the high mortality rate in the ICU in this population.

Prognostic Conversations Between Parents and Physicians in the Pediatric Intensive Care Unit

BACKGROUND

Up to 80% of pediatric intensive care unit (PICU) patients experience new morbidities upon discharge. Patients and families rely on clear communication to prepare for post-PICU morbidities.

METHODS

Surveys were given at PICU discharge to parents and attending physicians of patients who developed multi-organ dysfunction within 24 hours of PICU admission and whose parents completed an initial survey 5 to 10 days after PICU admission. Participants were asked about prognostic conversations regarding PICU mortality; patient post-PICU physical, cognitive, and psychological morbidities; and parent post-PICU psychological morbidities. Parents also indicated whether they wanted more prognostic information.

RESULTS

Forty-nine parents and 20 PICU attending physicians completed surveys for 49 patients. Thirty parent (61%) and 29 physician (59%) surveys reported participating in any prognostic conversations. Concordance between parents and physicians about prognostic conversations was slight (κ = 0.19). Parent (n = 22; 45%) and physician (n = 23; 47%) surveys most commonly reported prognostic conversations about post-PICU physical morbidities. Parents less commonly reported conversations about post-PICU cognitive morbidities (n = 10; 20%). According to parents, bedside nurses and physicians provided most prognostic information; social workers (54%) most commonly discussed parent psychological morbidities. Twenty-six parents (53%) requested more prognostic information.

CONCLUSIONS

Most parents and physicians reported having prognostic conversations, primarily about post-PICU physical morbidities. More than half of parents wanted more information about potential post-PICU morbidities. More research is needed to understand how and when medical professionals should have prognostic conversations with parents.

Perioperative Optimization of the Cardiac Surgical Patient

Perioperative optimization of cardiac surgical patients is imperative to reduce complications, utilize health care resources efficiently, and improve patient recovery and quality of life. Standardized application of evidence-based best practices can lead to better outcomes. Although many practices should be applied universally to all patients, there are also opportunities along the surgical journey to identify patients who will benefit from additional interventions that will further ameliorate their recovery. Enhanced recovery programs aim to bundle several process elements in a standardized fashion to optimize outcomes after cardiac surgery. A foundational concept of enhanced recovery is attaining a better postsurgical end point for patients, in less time, through achievement and maintenance in their greatest possible physiologic, functional, and psychological state. Perioperative optimization is a broad topic, spanning multiple phases of care and involving a variety of medical specialties and nonphysician health care providers. In this review we highlight a variety of perioperative care topics, in which a comprehensive approach to patient care can lead to improved results for patients, providers, and the health care system. A particular focus on patient-centred care is included. Although existing evidence supports all of the elements reviewed, most require further improvements in implementation, as well as additional research, before their full potential and usefulness can be determined.

Post-Intensive Care Syndrome in Non-COVID-19 ICU Survivors during the COVID-19 Pandemic in South Korea: A Multicenter Prospective Cohort Study

A prospective observational cohort study investigated the prevalence of post-intensive care syndrome (PICS) among non-COVID-19 ICU survivors during the COVID-19 pandemic. Adults who had been admitted to the ICU for more than 24 h were enrolled, and followed-up at 3, 6, and 12 months post-discharge. PICS (mental health, cognitive, and physical domains) was measured using the Hospital Anxiety and Depression Scale, Posttraumatic Diagnosis Scale, Montreal Cognitive Assessment, and Korean Activities of Daily Living (ADL) scale. Data were analyzed from 237 participants who completed all three follow-up surveys. The prevalence of PICS was 44.7%, 38.4%, and 47.3%, at 3, 6, and 12 months of discharge, respectively. The prevalence of PICS in the mental health and cognitive domains decreased at 6 and increased at 12 months. The prevalence of PICS in the physical domain declined over time. Changes in PICS scores other than ADL differed significantly according to whether participants completed follow-up before or after December 2020, when COVID-19 rapidly spread in South Korea. In the recent group, anxiety, depression, post-traumatic stress disorder, and cognition scores were significantly worse at 12 months than at 6 months post-discharge. The COVID-19 pandemic may have adversely affected the recovery of non-COVID-19 ICU survivors.

Post-Intensive Care Syndrome in Covid-19 Patients Discharged From the Intensive Care Unit

Patients with Covid-19, after discharge from the intensive care unit (ICU), experience some psychological, physical, and cognitive disorders, which is known as the post-intensive care syndrome and has adverse effects on patients and their families. The aim of this study was to evaluate the post-intensive care syndrome and its predictors in Covid-19 patients discharged from the ICU. In this study, 84 Covid-19 patients discharged from the ICU were selected by census method based on inclusion and exclusion criteria. After completing the demographic information, the Healthy Aging Brain Care Monitor Self Report Tool was used to assess post-intensive care syndrome. Sixty-nine percent of participants experienced different degrees of post-intensive care syndrome, and its mean score was 8.86 ± 12.50; the most common disorder was related to the physical dimension. Among individual social variables, age and duration after discharge were able to predict 12.3% and 8.4% of the variance of post-intensive care syndrome, respectively. Covid-19 patients who are admitted to the ICU, after discharge from the hospital, face cognitive, psychological, and functional disorders, and there is a need for planning to prevent, follow up, and care for them by health care providers in the hospice and palliative care centers.

Depression and mortality among survivors of acute respiratory distress syndrome in South Korea: A nationwide cohort study conducted from 2010 to 2018

It has been reported that survivors of acute respiratory distress syndrome (ARDS) experience depression. However, the relationship between newly developed depression and mortality among survivors of ARDS has not been elucidated. Thus, the aim of this study was to investigate the prevalence and associated factors of depression among survivors of ARDS and determine whether newly developed depression is associated with long-term mortality among them. The data used for this study were extracted from the national health insurance database of South Korea. All adult patients who were admitted into intensive care units for ARDS between January 1, 2010, and December 31, 2018, and survived for ≥1 year after treatment were defined as ARDS survivors and included in this study. A total of 4,452 ARDS survivors were included in the final analysis. Of these, 581 (13.4%) were newly diagnosed with depression within 1 year after ARDS diagnosis. Multivariable logistic regression showed that underlying anxiety disorder (odds ratio [OR], 2.35; 95% confidence interval [CI], 1.93-2.86; P < 0.001), substance abuse (OR, 2.18; 95% CI, 1.48-3.20; P < 0.001), and post-traumatic stress disorder (OR, 15.52; 95% CI, 2.57-93.51; P = 0.003) were associated with a higher prevalence of post-ARDS depression among survivors. Multivariable Cox regression analysis showed that post-ARDS depression was associated with a 1.49-fold increased risk of 2-year all-cause mortality (hazard ratio, 1.49; 95% CI, 1.18-1.88; P = 0.001). Underlying psychiatric illness is a potential risk factor for the development of depression among ARDS survivors. Post-ARDS depression is associated with an increased risk of 2-year all-cause mortality.

Assessment of Sarcopenia in the Intensive Care Unit and 1-Year Mortality in Survivors of Critical Illness

Skeletal muscle wasting in the intensive care unit (ICU) has been associated with mortality, but it is unclear whether sarcopenia, defined by skeletal muscle mass and function, is useful for detailed risk stratification after ICU discharge. In this cohort study, 72 critically ill patients with an ICU stay of ≥48 h were identified. Skeletal muscle mass was assessed from the muscle thickness (MT) of the patients' quadriceps using ultrasound images before ICU discharge. Skeletal muscle function was assessed from the patients' muscle strength (MS) before ICU discharge according to the Medical Research Council sum score. A diagnosis of sarcopenia in the ICU was made in patients with low MT and low MS. The study endpoint was 1-year mortality. Sarcopenia in the ICU was diagnosed in 26/72 patients (36%). After adjusting for covariates in the Cox regression, sarcopenia in the ICU was significantly associated with 1-year mortality (hazard ratio 3.82; 95% confidence interval, 1.40-10.42). Sarcopenia in the ICU, defined by low skeletal muscle mass and function, was associated with 1-year mortality in survivors of critical illness. Skeletal muscle mass and function assessed at the bedside could be used to identify higher-risk patients in the ICU.