Chronic critical illness

Post-acute sequelae of COVID-19: understanding and addressing the burden of multisystem manifestations

Individuals with SARS-CoV-2 infection can develop symptoms that persist well beyond the acute phase of COVID-19 or emerge after the acute phase, lasting for weeks or months after the initial acute illness. The post-acute sequelae of COVID-19, which include physical, cognitive, and mental health impairments, are known collectively as long COVID or post-COVID-19 condition. The substantial burden of this multisystem condition is felt at individual, health-care system, and socioeconomic levels, on an unprecedented scale. Survivors of COVID-19-related critical illness are at risk of the well known sequelae of acute respiratory distress syndrome, sepsis, and chronic critical illness, and these multidimensional morbidities might be difficult to differentiate from the specific effects of SARS-CoV-2 and COVID-19. We provide an overview of the manifestations of post-COVID-19 condition after critical illness in adults. We explore the effects on various organ systems, describe potential pathophysiological mechanisms, and consider the challenges of providing clinical care and support for survivors of critical illness with multisystem manifestations. Research is needed to reduce the incidence of post-acute sequelae of COVID-19-related critical illness and to optimise therapeutic and rehabilitative care and support for patients.

Subphenotyping heterogeneous patients with chronic critical illness to guide individualised fluid balance treatment using machine learning: a retrospective cohort study

BACKGROUND

The great heterogeneity of patients with chronic critical illness (CCI) leads to difficulty for intensive care unit (ICU) management. Identifying subphenotypes could assist in individualized care, which has not yet been explored. In this study, we aim to identify the subphenotypes of patients with CCI and reveal the heterogeneous treatment effect of fluid balance for them.

METHODS

In this retrospective study, we defined CCI as an ICU length of stay over 14 days and coexists with persistent organ dysfunction (cardiovascular Sequential Organ Failure Assessment (SOFA) score ≥1 or score in any other organ system ≥2) at Day 14. Data from five electronic healthcare record datasets covering geographically distinct populations (the US, Europe, and China) were studied. These five datasets include (1) subset of Derivation (MIMIC-IV v1.0, US) cohort (2008-2019); (2) subset Derivation (MIMIC-III v1.4 'CareVue', US) cohort (2001-2008); (3) Validation I (eICU-CRD, US) cohort (2014-2015); (4) Validation II (AmsterdamUMCdb/AUMC, Euro) cohort (2003-2016); (5) Validation III (Jinling, CN) cohort (2017-2021). Patients who meet the criteria of CCI in their first ICU admission period were included in this study. Patients with age over 89 or under 18 years old were excluded. Three unsupervised clustering algorithms were employed independently for phenotypes derivation and validation. Extreme Gradient Boosting (XGBoost) was used for phenotype classifier construction. A parametric G-formula model was applied to estimate the cumulative risk under different daily fluid management strategies in different subphenotypes of ICU mortality.

FINDINGS

We identified four subphenotypes as Phenotype A, B, C, and D in a total of 8145 patients from three countries. Phenotype A is the mildest and youngest subgroup; Phenotype B is the most common group, of whom patients showed the oldest age, significant acid-base abnormality, and low white blood cell count; Patients with Phenotype C have hypernatremia, hyperchloremia, and hypercatabolic status; and in Phenotype D, patients accompany with the most severe multiple organ failure. An easy-to-use classifier showed good effectiveness. Phenotype characteristics showed robustness across all cohorts. The beneficial fluid balance threshold intervals of subphenotypes were different.

INTERPRETATION

We identified four novel phenotypes that revealed the different patterns and significant heterogeneous treatment effects of fluid therapy within patients with CCI. A prospective study is needed to validate our findings, which could inform clinical practice and guide future research on individualized care.

FUNDING

This study was funded by 333 High Level Talents Training Project of Jiangsu Province (BRA2019011), General Program of Medical Research from the Jiangsu Commission of Health (M2020052), and Key Research and Development Program of Jiangsu Province (BE2022823).

A Focused Review of Long-Stay Patients and the Ethical Imperative to Provide Inpatient Continuity

Long-stay patients are an impactful, vulnerable, growing group of inpatients in today's (and tomorrow's) tertiary hospitals. They can outlast dozens of clinicians that necessarily rotate on and off clinical service. Yet, care from such rotating clinicians can result in fragmented care due to a lack of continuity that insufficiently meets the needs of these patients and their families. Using long-stay PICU patients as an example, this focused review discusses the impact of prolonged admissions and how our fragmented care can compound this impact. It also argues that it is an ethical imperative to provide a level of continuity of care beyond what is considered standard of care and offers a number of strategies that can provide such continuity.

Daily Oxygenation Support for Patients Hospitalized With SARS-CoV-2 in an Integrated Health System

BACKGROUND

Many COVID-19 studies are constructed to report hospitalization outcomes, with few large multi-center population-based reports on the time course of intra-hospitalization characteristics, including daily oxygenation support requirements. Comprehensive epidemiologic profiles of oxygenation methods used by day and by week during hospitalization across all severities are important to illustrate the clinical and economic burden of COVID-19 hospitalizations.

METHODS

This was a retrospective, multi-center observational cohort study of 15,361 consecutive hospitalizations of patients with COVID-19 at 25 adult acute care hospitals in Texas participating in the Society of Critical Care Medicine Discovery Viral Respiratory Illness Universal Study COVID-19 registry.

RESULTS

At initial hospitalization, the majority required nasal cannula (44.0%), with an increasing proportion of invasive mechanical ventilation in the first week and particularly the weeks to follow. After 4 weeks of acute illness, 69.9% of adults hospitalized with COVID-19 required intermediate (eg, high-flow nasal cannula, noninvasive ventilation) or advanced respiratory support (ie, invasive mechanical ventilation), with similar proportions that extended to hospitalizations that lasted ≥ 6 weeks.

CONCLUSIONS

Data representation of intra-hospital processes of care drawn from hospitals with varied size, teaching and trauma designations is important to presenting a balanced perspective of care delivery mechanisms employed, such as daily oxygen method utilization.

A Hemodynamic Echocardiographic Evaluation Predicts Prolonged Mechanical Ventilation in Septic Patients: A Pilot Study

Prolonged mechanical ventilation (PMV) is common among critically ill septic patients and leads to serious adverse effects. Transthoracic echocardiography (TTE) is an efficient tool for the assessment of septic shock. Our study investigated the relationship between TTE parameters and PMV in mechanically ventilated septic shock patients. TTE was performed in the first 24 h of intensive care unit admission, acquiring data on cardiac output (CO), cardiac index (CI), s' wave (s'), E wave (E), e' wave (e') and E/e' ratio. We compared data on patients who met the criteria for PMV with data on patients who did not. Sixty-four patients were included, 26 of whom met the criteria for PMV. CO, CI and s' were higher in patients who required PMV (5.49 vs. 4.20, p = 0.02; 2.95 vs. 2.34, p = 0.04; and 12.56 vs. 9.81, p = 0.01, respectively). CI correlated with s' (r = 0.37, p < 0.01). The areas under the receiver operating characteristic curves for CO, CI and s' in assessing the need for PMV were, respectively, 0.7 (fair results), 0.69 and 0.68 (poor results). Despite a lack of a prognostic model, the observed differences suggest that hemodynamic TTE could provide information on the risk of PMV in septic shock.

Defining Pediatric Chronic Critical Illness: A Scoping Review

OBJECTIVES

Children with chronic critical illness (CCI) are hypothesized to be a high-risk patient population with persistent multiple organ dysfunction and functional morbidities resulting in recurrent or prolonged critical care; however, it is unclear how CCI should be defined. The aim of this scoping review was to evaluate the existing literature for case definitions of pediatric CCI and case definitions of prolonged PICU admission and to explore the methodologies used to derive these definitions.

DATA SOURCES

Four electronic databases (Ovid Medline, Embase, CINAHL, and Web of Science) from inception to March 3, 2021.

STUDY SELECTION

We included studies that provided a specific case definition for CCI or prolonged PICU admission. Crowdsourcing was used to screen citations independently and in duplicate. A machine-learning algorithm was developed and validated using 6,284 citations assessed in duplicate by trained crowd reviewers. A hybrid of crowdsourcing and machine-learning methods was used to complete the remaining citation screening.

DATA EXTRACTION

We extracted details of case definitions, study demographics, participant characteristics, and outcomes assessed.

DATA SYNTHESIS

Sixty-seven studies were included. Twelve studies (18%) provided a definition for CCI that included concepts of PICU length of stay (n = 12), medical complexity or chronic conditions (n = 9), recurrent admissions (n = 9), technology dependence (n = 5), and uncertain prognosis (n = 1). Definitions were commonly referenced from another source (n = 6) or opinion-based (n = 5). The remaining 55 studies (82%) provided a definition for prolonged PICU admission, most frequently greater than or equal to 14 (n = 11) or greater than or equal to 28 days (n = 10). Most of these definitions were derived by investigator opinion (n = 24) or statistical method (n = 18).

CONCLUSIONS

Pediatric CCI has been variably defined with regard to the concepts of patient complexity and chronicity of critical illness. A consensus definition is needed to advance this emerging and important area of pediatric critical care research.

Akkermansia muciniphila Alleviates Persistent Inflammation, Immunosuppression, and Catabolism Syndrome in Mice

Many patients in intensive care units, especially the elderly, suffer from chronic critical illness and exhibit a new pathophysiological phenotype: persistent inflammation, immunosuppression, and catabolism syndrome (PICS). Most patients with PICS have a constellation of digestive-system symptoms and gut failure. Akkermansia muciniphila (Akk) is a commensal gut bacterium that reduces inflammation, balances immune responses, modulates energy metabolism, and supports gut health. This study investigated the protective effects and underlying mechanisms of live and pasteurized Akk in treating PICS in a mouse model. PICS was induced on day 14 after performing cecal ligation and puncture (CLP) on day 1 and administrating lipopolysaccharide on day 11. Pasteurized or live Akk, or phosphate-buffered saline was administered twice daily by oral gavage for 7 days. Both live and pasteurized Akk attenuated PICS, as evidenced by reduced weight loss, and a reduction in symptoms and serum cytokine/chemokine levels. Liver and intestinal injuries were mitigated, and intestinal barrier integrity improved with Akk administration. Analysis of 16S rRNA amplicon sequences showed that Akk induced significant intestinal microbiota alterations, including increased abundance of Akk, Muribaculaceae, Parabacterbides goldsteinii, and decreased abundance of Escherichia_Shigella and Enterobacteriaceae. Collectively, Akk alleviates PICS by enhancing gut barrier function and reshaped the microbial community.

Updates in percutaneous tracheostomy and gastrostomy: should we strive for combined placement during one procedure?

PURPOSE OF REVIEW

Percutaneous tracheostomy and gastrostomy are minimally invasive procedures among the most common performed in intensive care units. Practices across centres vary considerably, and questions remain about the optimal timing, performance and postoperative care related to these procedures.

RECENT FINDINGS

The COVID-19 pandemic has triggered a reevaluation of the practice of percutaneous tracheostomy and gastrostomy in the ICU. Combined percutaneous tracheostomy and gastrostomy at the bedside has potential benefits, including improved nutrition, decreased exposure to anaesthetics, decreased patient transport and decreased hospital costs. Percutaneous ultrasound gastrostomy is a novel technique that eliminates the need for an endoscope that may allow intensivists to perform gastrostomy at the bedside.

SUMMARY

Multidisciplinary care is essential to the follow up of critically ill patients receiving tracheostomy and gastrostomy. Combined tracheostomy and gastrostomy has numerous potential benefits to patients and hospital systems. Interventional pulmonologists are uniquely qualified to perform both procedures and serve on a tracheostomy and gastrostomy team.

CLINICAL AND PROGNOSTIC FEATURES OF CHRONIC CRITICAL ILLNESS/PERSISTENT INFLAMMATION IMMUNOSUPPRESSION AND CATABOLISM PATIENTS: A PROSPECTIVE OBSERVATIONAL CLINICAL STUDY

ABSTRACT

Objective: The aims of this study were to investigate and compare the clinical features and prognosis of chronic critical illness (CCI)/persistent inflammation immunosuppression and catabolism (PICS). Methods: This is a prospective observational clinical study. During this study period, we collect intensive care unit patients' data from Suzhou Municipal Hospital and Suzhou Ninth People's Hospital. All patients older than 18 years were included, and according to the corresponding exclusion and diagnostic criteria, they were divided into four groups: PICS group, CCI group, CCI and PICS group (CCI + PICS), and neither CCI nor PICS group (NCCI + NPICS) and collected and recorded age, sex, hospital time, hospital diagnosis, Acute Physiology and Chronic Health Evaluation II score, Sequential Organ Failure Assessment score, C-reactive protein, absolute value lymphocyte count, serum albumin, white blood cell count, absolute value neutrophil count, secondary infection, and 28-day case fatality rate separately. Results: A total of 687 patients were admitted to the intensive care unit during the study period. The hospitalization time less than 14 days were excluded, and 168 patients were eventually included. There are 17 in the PICS group, 71 in the CCI group, 50 in the CCI + PICS group, and 30 in the NCCI + NPICS group. Baseline characteristics showed statistically significant differences in Sequential Organ Failure Assessment, length of hospital stay, and 28-day mortality among four groups. Baseline main indicator and multiple comparisons showed that the CCI + PICS group had longer hospital stay, worse prognosis, and more adverse outcomes. Multivariate analysis showed that final age, C-reactive protein on days 14 and 21, and serum albumin on days 1 and 21 had an impact on the prognosis ( P < 0.05). Conclusion: The clinical prognosis of the four groups decreased in order of NCCI + NPICS, CCI, PICS, and CCI + PICS. Our finding of clinically isolated PICS may indicate that PICS acts as an inducement or independent factor to worsen the prognosis of CCI.

Advance Care Planning in Serious Illness: A Narrative Review

CONTEXT

Advance care planning (ACP) intends to support person-centered medical decision-making by eliciting patient preferences. Research has not identified significant associations between ACP and goal-concordant end-of-life care, leading to justified scientific debate regarding ACP utility.

OBJECTIVE

To delineate ACP's potential benefits and missed opportunities and identify an evidence-informed, clinically relevant path ahead for ACP in serious illness.

METHODS

We conducted a narrative review merging the best available ACP empirical data, grey literature, and emergent scholarly discourse using a snowball search of PubMed, Medline, and Google Scholar (2000-2022). Findings were informed by our team's interprofessional clinical and research expertise in serious illness care.

RESULTS

Early ACP practices were largely tied to mandated document completion, potentially failing to capture the holistic preferences of patients and surrogates. ACP models focused on serious illness communication rather than documentation show promising patient and clinician results. Ideally, ACP would lead to goal-concordant care even amid the unpredictability of serious illness trajectories. But ACP might also provide a false sense of security that patients' wishes will be honored and revisited at end-of-life. An iterative, 'building block' framework to integrate ACP throughout serious illness is provided alongside clinical practice, research, and policy recommendations.

CONCLUSIONS

We advocate a balanced approach to ACP, recognizing empirical deficits while acknowledging potential benefits and ethical imperatives (e.g., fostering clinician-patient trust and shared decision-making). We support prioritizing patient/surrogate-centered outcomes with more robust measures to account for interpersonal clinician-patient variables that likely inform ACP efficacy and may better evaluate information gleaned during serious illness encounters.

SPECKLE TRACKING QUANTIFICATION PARASTERNAL INTERCOSTAL MUSCLE LONGITUDINAL STRAIN TO PREDICT WEANING OUTCOMES: A MULTICENTRIC OBSERVATIONAL STUDY

ABSTRACT

Background: The purpose of this study was to determine the feasibility, reliability, and reproducibility of parasternal intercostal muscle longitudinal strain (LSim) quantification by speckle tracking and the value of maximal LSim to predict weaning outcomes. Methods: This study was divided into three phases. Phases 1 and 2 comprehended prospective observational programs to evaluate the feasibility, reliability, and repeatability of speckle tracking to assess LSim in healthy subjects and mechanically ventilated patients. Phase 3 was a multicenter retrospective study to evaluate the value of maximal LSim, intercostal muscle thickening fraction (TFim), diaphragmatic thickening fraction, diaphragmatic excursion, and rapid shallow breathing index to predict weaning outcomes. Results: A total of 25 healthy subjects and 20 mechanically ventilated patients were enrolled in phases 1 and 2, respectively. Maximal LSim was easily accessible, and the intraoperator reliability and interoperator reliability were excellent in eupnea, deep breathing, and mechanical ventilation. The intraclass correlation coefficient ranged from 0.85 to 0.96. Moreover, 83 patients were included in phase 3. The areas under the receiver operating characteristic curve of maximal LSim, TFim, diaphragmatic thickening fraction, diaphragmatic excursion, and rapid shallow breathing index were 0.91, 0.79, 0.71, 0.70, and 0.78 for the prediction of successful weaning, respectively. The best cutoff values of LSim and TFim were >-6% (sensitivity, 100%; specificity, 64.71%) and <7.6% (sensitivity, 100%; specificity, 50.98%), respectively. Conclusions: The quantification of LSim by speckle tracking was easily achievable in healthy subjects and mechanically ventilated patients and presented a higher predictive value for weaning success compared with conventional weaning parameters. Trial registration no. ChiCTR2100049817.

Comparison of assessment of diaphragm function using speckle tracking between patients with successful and failed weaning: a multicentre, observational, pilot study

Background

Diaphragmatic ultrasound has been increasingly used to evaluate diaphragm function. However, current diaphragmatic ultrasound parameters provide indirect estimates of diaphragmatic contractile function, and the predictive value is controversial. Two-dimensional (2D) speckle tracking is an effective technology for measuring tissue deformation and can be used to measure diaphragm longitudinal strain (DLS) to assess diaphragm function. The purpose of this study was to determine the feasibility and reproducibility of DLS quantification by 2D speckle tracking and to determine whether maximal DLS could be used to predict weaning outcomes.

Methods

This study was performed in the intensive care unit of two teaching hospitals, and was divided into two studies. Study A was a prospective study to evaluate the feasibility, reliability, and repeatability of speckle tracking in assessing DLS in healthy subjects and mechanically ventilated patients. Study B was a multicentre retrospective study to assess the use of maximal DLS measured by speckle tracking in predicting weaning outcomes.

Results

Twenty-five healthy subjects and twenty mechanically ventilated patients were enrolled in Study A. Diaphragmatic speckle tracking was easily accessible. The intra- and interoperator reliability were good to excellent under conditions of eupnoea, deep breathing, and mechanical ventilation. The intraclass correlation coefficient (ICC) ranged from 0.78 to 0.95. Ninety-six patients (fifty-nine patients were successfully weaned) were included in Study B. DLS exhibited a fair linear relationship with both the diaphragmatic thickening fraction (DTF) (R2 = 0.73, p < 0.0001) and diaphragmatic excursion (DE) (R2 = 0.61, p < 0.0001). For the prediction of successful weaning, the areas under the ROC curves of DLS, diaphragmatic thickening fraction DTF, RSBI, and DE were 0.794, 0.794, 0.723, and 0.728, respectively. The best cut-off value for predicting the weaning success of DLS was less than -21%, which had the highest sensitivity of 89.19% and specificity of 64.41%.

Conclusions

Diaphragmatic strain quantification using speckle tracking is easy to obtain in healthy subjects and mechanically ventilated patients and has a high predictive value for mechanical weaning. However, this method offers no advantage over RSBI. Future research should assess its value as a predictor of weaning.

Trial registration

This study was registered in the Chinese Clinical Trial Register (ChiCTR), ChiCTR2100049816. Registered 10 August 2021. http://www.chictr.org.cn/showproj.aspx?proj=131790

Prognosis of Chronically Ventilated Patients in a Long-Term Ventilation Facility: Association with Age, Consciousness and Cognitive State

Background: The number of adults requiring prolonged mechanical ventilation (PMV) including those with cognitive impairment or disorders of consciousness is escalating. We aimed to compare in a long-term acute care hospital (LTACH) mortality and length of stay (LOS) among three age groups (40-59y, 60-79y, ≥80y) of hospitalized PMV patients, and according to consciousness and cognitive state at admission. Methods: We obtained data from the health records of 308 adults aged ≥40 years requiring PMV hospitalized at a Chronic Ventilator Dependent Unit in a LTACH between 01/01/2015 to 06/30/2019 and followed-up until discharge or death or until 12/31/2019. Results: At admission to LTACH, 42.2% of PMV patients were in a vegetative state/ minimally conscious state (VS/MCS); 32.5% were severely cognitively impaired, 11.0% were mildly to moderately cognitively impaired, 12.3% had no cognitive impairment, and 1.9% had intellectual disability/psychiatric disorder. In-LTACH LOS (months) decreased from 34.6 ± 42.6 at age 40-59y, 19.1 ± 22.3 at 60-79y to 14.4 ± 19.3 at age ≥80y (p = .006). In-LTACH mortality was 30.6% for 40-59y, 41.1% for 60-79y and 54.8% for age ≥80y. In-LTACH LOS (months) was 23.8 ± 30.7 for VS/MCS, 15.1 ± 19.5 for the severely cognitively impaired, 10.0 ± 12.8 for mild to moderate cognitive impairment and 18.9 ± 21.9 for those without cognitive impairment (p = .02). In-LTACH mortality was 50.8% for VS/MCS, 58.0% for the severely cognitively impaired, 26.5% for mild to moderate cognitive impairment and 13.2% for those without cognitive impairment (p < .001). Conclusion: In this population requiring PMV, mortality and in-LTACH LOS worsened with age. In-LTACH LOS was longest for VS/MCS patients, who had a mean survival of about two years, followed by those without cognitive impairment and then those with severe cognitive impairment. Mortality was associated with worse consciousness and cognitive state. These findings highlight the importance of discussing end-of-life decisions with patients and family members regarding resuscitation/intubation and the long-term management of these patients.

Factors Associated with Mortality in Patients with COVID-19 Receiving Prolonged Ventilatory Support

Background: Since its emergence in early 2020, coronavirus disease 2019 (COVID-19)-associated pneumonia has caused a global strain on intensive care unit (ICU) resources with many intubated patients requiring prolonged ventilatory support. Outcomes for patients with COVID-19 who receive prolonged intubation (>21 days) and possible predictors of mortality in this group are not well established. Patients and Methods: Data were prospectively collected from adult patients with COVID-19 requiring mechanical ventilation from March 2020 through December 2021 across a system of 11 hospitals. The primary end point was in-hospital mortality. Factors associated with mortality were evaluated using univariable and multivariable logistic regression analyses. Results: Six hundred six patients were placed on mechanical ventilation for COVID-19 pneumonia during the study period, with in-hospital mortality of 40.3% (n = 244). Increased age (odds ratio [OR], 1.06; 95% confidence interval [CI], 1.03-1.09), increased creatinine (OR, 1.40; 95% CI, 1.08-1.82), and receiving corticosteroids (OR, 2.68; 95% CI, 1.20-5.98) were associated with mortality. Intubations lasting longer than 21 days (n = 140) had a lower in-hospital mortality of 25.7% (n = 36; p < 0.001). Increasing Elixhauser comorbidity index (OR, 1.12; 95% CI, 1.04-1.19) and receiving corticosteroids (OR, 1.92; 95% CI, 1.06-3.47) were associated with need for prolonged ventilation. In this group, increased age (OR, 1.06; 95% CI, 1.01-1.08) and non-English speaking (OR, 3.74; 95% CI, 1.13-12.3) were associated with mortality. Conclusions: In-hospital mortality in mechanically ventilated patients with COVID-19 pneumonia occurs primarily in the first 21 days after intubation, possibly related to the early active inflammatory process. In patients on prolonged mechanical ventilation, increased age and being non-English speaking were associated with mortality.

One-year hospital readmission for recurrent sepsis: associated risk factors and impact on 1-year mortality-a French nationwide study

BACKGROUND

Sepsis is a complex health condition, leading to long-term morbidity and mortality. Understanding the risk factors for recurrent sepsis, as well as its impact on mid- and long-term mortality among other risk factors, is essential to improve patient survival.

METHODS

A risk factor analysis, based on French nationwide medico-administrative data, was conducted on a cohort of patients above 15 years old, hospitalized with an incident sepsis in metropolitan France between 1st January 2018 and 31st December 2018 and who survived their index hospitalization. Two main analyses, focusing on outcomes occurring 1-year post-discharge, were conducted: a first one to assess risk factors for recurrent sepsis and a second to assess risk factors for mortality.

RESULTS

Of the 178017 patients surviving an incident sepsis episode in 2018 and included in this study, 22.3% died during the 1-year period from discharge and 73.8% had at least one hospital readmission in acute care, among which 18.1% were associated with recurrent sepsis. Patients aged between 56 and 75, patients with cancer and renal disease, with a long index hospital stay or with mediastinal or cardiac infection had the highest odds of recurrent sepsis. One-year mortality was higher for patients with hospital readmission for recurrent sepsis (aOR 2.93; 99% CI 2.78-3.09). Among all comorbidities, patients with cancer (aOR 4.35; 99% CI 4.19-4.52) and dementia (aOR 2.02; 99% CI 1.90-2.15) had the highest odds of 1-year mortality.

CONCLUSION

Hospital readmission for recurrent sepsis is one of the most important risk factors for 1-year mortality of septic patients, along with age and comorbidities. Our study suggests that recurrent sepsis, as well as modifiable or non-modifiable other risk factors identified, should be considered in order to improve patient care pathway and survival.

Effect of an enteral amino acid blend on muscle and gut functionality in critically ill patients: a proof-of-concept randomized controlled trial

Background

A defining feature of prolonged critical illness is muscle wasting, leading to impaired recovery. Supplementation with a tailored blend of amino acids may bolster the innate gut defence, promote intestinal mucosa repair and limit muscle loss.

Methods

This was a monocentric, randomized, double-blind, placebo-controlled study that included patients with sepsis or acute respiratory distress syndrome. Patients received a specific combination of five amino acids or placebo mixed with enteral feeding for 21 days. Markers of renal function, gut barrier structure and functionality were collected at baseline and 1, 2, 3 and 8 weeks after randomization. Muscle structure and function were assessed through MRI measurements of the anterior quadriceps volume and by twitch airway pressure. Data were compared between groups relative to the baseline.

Results

Thirty-five critically ill patients were randomized. The amino acid blend did not impair urine output, blood creatinine levels or creatinine clearance. Plasma citrulline levels increased significantly along the treatment period in the amino acid group (difference in means [95% CI] 5.86 [1.72; 10.00] nmol/mL P = 0.007). Alanine aminotransferase and alkaline phosphatase concentrations were lower in the amino acid group than in the placebo group at one week (ratio of means 0.5 [0.29; 0.86] (P = 0.015) and 0.73 [0.57; 0.94] (P = 0.015), respectively). Twitch airway pressure and volume of the anterior quadriceps were greater in the amino acid group than in the placebo group 3 weeks after randomization (difference in means 10.6 [0.99; 20.20] cmH₂0 (P = 0.035) and 3.12 [0.5; 5.73] cm³/kg (P = 0.022), respectively).

Conclusions

Amino acid supplementation increased plasma citrulline levels, reduced alanine aminotransferase and alkaline phosphatase levels, and improved twitch airway pressure and anterior quadriceps volume.

Trial registration ClinicalTrials.gov, NCT02968836. Registered November 21, 2016.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13054-022-04232-5.

Tracheostomy decannulation rates in Japan: a retrospective cohort study using a claims database

Despite the exponential increase in the use of tracheostomy worldwide, rates of tracheostomy decannulation are unknown. We conducted a retrospective cohort study to investigate tracheostomy decannulation rates among adult patients over a two-year period and explored factors associated with prolonged tracheostomy. A health insurance claims database including 3,758,210 people in Japan was used. The primary outcome was time to decannulation. Assessed patient and hospital factors included age, sex, emergency endotracheal intubation, disease, and hospital size. A total of 917 patients underwent tracheostomy, and 752 met the eligibility criteria. Decannulation rates were 40.8% (95% confidence interval 36.8-44.9) at 3 months, 63.9% (58.4-69.0) at 12 months, and 65.0% (59.2-70.3) at 24 months. Hazard ratios of patient and hospital factors for tracheostomy decannulation were 0.44 for age (65-74 years) (95% confidence interval 0.28-0.68), 0.81 (0.63-1.05) for female sex, and 0.59 (0.45-0.76) for emergency endotracheal intubation. Cerebrovascular disease, head injuries, and cardiac arrest had lower hazard ratios compared to other diseases. Decannulation rates among adult patients in Japan increased rapidly up to 3 months after tracheostomy, reaching a plateau after 12 months. Older age, female sex, emergency endotracheal intubation, cerebrovascular disease, head injuries, and cardiac arrest were associated with prolonged tracheostomy.

Biological signatures and prediction of an immunosuppressive status-persistent critical illness-among orthopedic trauma patients using machine learning techniques

BACKGROUND

Persistent critical illness (PerCI) is an immunosuppressive status. The underlying pathophysiology driving PerCI remains incompletely understood. The objectives of the study were to identify the biological signature of PerCI development, and to construct a reliable prediction model for patients who had suffered orthopedic trauma using machine learning techniques.

METHODS

This study enrolled 1257 patients from the Medical Information Mart for Intensive Care III (MIMIC-III) database. Lymphocytes were tracked from ICU admission to more than 20 days following admission to examine the dynamic changes over time. Over 40 possible variables were gathered for investigation. Patients were split 80:20 at random into a training cohort (n=1035) and an internal validation cohort (n=222). Four machine learning algorithms, including random forest, gradient boosting machine, decision tree, and support vector machine, and a logistic regression technique were utilized to train and optimize models using data from the training cohort. Patients in the internal validation cohort were used to validate models, and the optimal one was chosen. Patients from two large teaching hospitals were used for external validation (n=113). The key metrics that used to assess the prediction performance of models mainly included discrimination, calibration, and clinical usefulness. To encourage clinical application based on the optimal machine learning-based model, a web-based calculator was developed.

RESULTS

16.0% (201/1257) of all patients had PerCI in the MIMIC-III database. The means of lymphocytes (%) were consistently below the normal reference range across the time among PerCI patients (around 10.0%), whereas in patients without PerCI, the number of lymphocytes continued to increase and began to be in normal range on day 10 following ICU admission. Subgroup analysis demonstrated that patients with PerCI were in a more serious health condition at admission since those patients had worse nutritional status, more electrolyte imbalance and infection-related comorbidities, and more severe illness scores. Eight variables, including albumin, serum calcium, red cell volume distributing width (RDW), blood pH, heart rate, respiratory failure, pneumonia, and the Sepsis-related Organ Failure Assessment (SOFA) score, were significantly associated with PerCI, according to the least absolute shrinkage and selection operator (LASSO) logistic regression model combined with the 10-fold cross-validation. These variables were all included in the modelling. In comparison to other algorithms, the random forest had the optimal prediction ability with the highest area under receiver operating characteristic (AUROC) (0.823, 95% CI: 0.757-0.889), highest Youden index (1.571), and lowest Brier score (0.107). The AUROC in the external validation cohort was also up to 0.800 (95% CI: 0.688-0.912). Based on the risk stratification system, patients in the high-risk group had a 10.0-time greater chance of developing PerCI than those in the low-risk group. A web-based calculator was available at https://starxueshu-perci-prediction-main-9k8eof.streamlitapp.com/.

CONCLUSIONS

Patients with PerCI typically remain in an immunosuppressive status, but those without PerCI gradually regain normal immunity. The dynamic changes of lymphocytes can be a reliable biomarker for PerCI. This work developed a reliable model that may be helpful in improving early diagnosis and targeted intervention of PerCI. Beneficial interventions, such as improving nutritional status and immunity, maintaining electrolyte and acid-base balance, curbing infection, and promoting respiratory recovery, are early warranted to prevent the onset of PerCI, especially among patients in the high-risk group and those with a continuously low level of lymphocytes.

Association between rectus femoris cross-sectional area and diaphragmatic excursion with weaning of tracheostomized patients in the intensive care unit

OBJECTIVE

To verify the relationship between the rectus femoris cross-sectional area and diaphragmatic excursion with successful weaning from mechanical ventilation in chronic critically tracheostomized patients.

METHODS

This was a prospective observational cohort study. We included chronic critically ill patients (those who underwent tracheostomy placement after 10 days under mechanical ventilation). The rectus femoris cross-sectional area and diaphragmatic excursion were obtained by ultrasonography performed within the first 48 hours after tracheostomy. We measured rectus femoris cross-sectional area and diaphragmatic excursion to assess their association with weaning from mechanical ventilation, including their potential to predict successful weaning and survival throughout the intensive care unit stay.

RESULTS

Eighty-one patients were included. Forty-five patients (55%) were weaned from mechanical ventilation. The mortality rates were 42% and 61.7% in the intensive care unit and hospital, respectively. The fail group in relation to the success group at weaning presented a lower rectus femoris cross-sectional area (1.4 [0.8] versus 1.84 [0.76]cm2, p = 0.014) and lower diaphragmatic excursion (1.29 ± 0.62 versus 1.62 ± 0.51cm, p = 0.019). When rectus femoris cross-sectional area ≥ 1.80cm2 and diaphragmatic excursion ≥ 1.25cm was a combined condition, it had a strong association with successful weaning (adjusted OR = 20.81, 95%CI 2.38 - 182.28; p = 0.006) but not with intensive care unit survival (adjusted OR = 0.19, 95%CI 0.03 - 1.08; p = 0.061).

CONCLUSION

Successful weaning from mechanical ventilation in chronic critically ill patients was associated with higher measurements of rectus femoris cross-sectional area and diaphragmatic excursion.

Association between rectus femoris cross-sectional area and diaphragmatic excursion with weaning of tracheostomized patients in the intensive care unit

OBJECTIVE

To verify the relationship between the rectus femoris cross-sectional area and diaphragmatic excursion with successful weaning from mechanical ventilation in chronic critically tracheostomized patients.

METHODS

This was a prospective observational cohort study. We included chronic critically ill patients (those who underwent tracheostomy placement after 10 days under mechanical ventilation). The rectus femoris cross-sectional area and diaphragmatic excursion were obtained by ultrasonography performed within the first 48 hours after tracheostomy. We measured rectus femoris cross-sectional area and diaphragmatic excursion to assess their association with weaning from mechanical ventilation, including their potential to predict successful weaning and survival throughout the intensive care unit stay.

RESULTS

Eighty-one patients were included. Forty-five patients (55%) were weaned from mechanical ventilation. The mortality rates were 42% and 61.7% in the intensive care unit and hospital, respectively. The fail group in relation to the success group at weaning presented a lower rectus femoris cross-sectional area (1.4 [0.8] versus 1.84 [0.76]cm2, p = 0.014) and lower diaphragmatic excursion (1.29 ± 0.62 versus 1.62 ± 0.51cm, p = 0.019). When rectus femoris cross-sectional area ≥ 1.80cm2 and diaphragmatic excursion ≥ 1.25cm was a combined condition, it had a strong association with successful weaning (adjusted OR = 20.81, 95%CI 2.38 - 182.28; p = 0.006) but not with intensive care unit survival (adjusted OR = 0.19, 95%CI 0.03 - 1.08; p = 0.061).

CONCLUSION

Successful weaning from mechanical ventilation in chronic critically ill patients was associated with higher measurements of rectus femoris cross-sectional area and diaphragmatic excursion.

External validation of the ProVent score for prognostication of 1-year mortality of critically ill patients with prolonged mechanical ventilation: a single-centre, retrospective observational study in Austria

OBJECTIVES

In critically ill patients requiring mechanical ventilation for at least 21 days, 1-year mortality can be estimated using the ProVent score, calculated from four variables (age, platelet count, vasopressor use and renal replacement therapy). We aimed to externally validate discrimination and calibration of the ProVent score and, if necessary, to update its underlying regression model.

DESIGN

Retrospective, observational, single-centre study.

SETTING

11 intensive care units at one tertiary academic hospital.

PATIENTS

780 critically ill adult patients receiving invasive mechanical ventilation for at least 21 days.

PRIMARY OUTCOME MEASURE

1-year mortality after intensive care unit discharge.

RESULTS

380 patients (49%) had died after 1 year. One-year mortality for ProVent scores from 0 to 5 were: 15%, 27%, 57%, 66%, 72% and 76%. Area under the receiver operating characteristic curve of the ProVent probability model was 0.76 (95% CI 0.72 to 0.79), calibration intercept was -0.43 (95% CI -0.59 to -0.27) and calibration slope was 0.76 (95% CI 0.62 to 0.89). Model recalibration and extension by inclusion of three additional predictors (total bilirubin concentration, enteral nutrition and surgical status) improved model discrimination and calibration. Decision curve analysis demonstrated that the original ProVent model had negative net benefit, which was avoided with the extended ProVent model.

CONCLUSIONS

The ProVent probability model had adequate discrimination but was miscalibrated in our patient cohort and, as such, could potentially be harmful. Use of the extended ProVent score developed by us could possibly alleviate this concern.

Characteristics and outcomes of COVID-19 patients assisted by intensivists and nonintensivists

OBJECTIVE:

The aim of this study was to assess the outcomes of critically ill patients with COVID-19 in an intensive care unit seen by a care team formed by intensive and nonintensive physicians and treatment guided by processes and protocols linked to the “choosing wisely” concept, comparing them with similar data recently published.

METHODS:

An observational cohort including adult patients with COVID-19 admitted to the intensive care unit of Hospital Independence between August 2020 and August 2021. Inclusion criteria were 18 years of age or older and there were no exclusion criteria.

RESULTS:

The study included 449 patients, of which 64.1% were referred from the ward, 21.6% from emergency rooms, and 14.2% from another hospital (continuity of attendance). The overall mortality was 48.5%, occurring mainly in the elderly and or those undergoing mechanical ventilation. We did not find any associations between different strata of body mass index and mortality. In the multivariate analysis, the time elapsed between the onset of symptoms and hospital admission, mechanical ventilation, C-reactive protein value at the end of the first week in the intensive care unit, and renal failure were independently associated with mortality. Vaccinated people comprised 8.8% of the sample, with no differences in mortality among the different vaccines, and 13.4% of patients underwent palliative treatment.

CONCLUSIONS:

Patients admitted for acute respiratory syndrome due to SARS-CoV-2 are severe and have a high mortality rate, mainly if submitted to invasive mechanical ventilation. The emergence of acute renal failure marks an especially severe subgroup with increased mortality. Processes and protocols linked to the “choosing-wisely” concept seemed to significantly benefit our intensive care unit since it had a large contingent of nonspecialist physicians.

Potential Usefulness of Blood Urea Nitrogen to Creatinine Ratio in the Prediction and Early Detection of Delirium Motor Subtype in the Intensive Care Unit

Prediction and early detection of delirium can improve patient outcomes. A high blood urea nitrogen to creatinine ratio (BCR), which reflects dehydration, has been reported as a risk factor for delirium. Additionally, BCR represents skeletal muscle loss in intensive care unit (ICU) patients, which can have critical implications for clinical outcomes. We investigated whether BCR could be used to predict the occurrence and motor subtype of delirium in ICU patients through a retrospective cohort study that included 7167 patients (50 years or older) admitted to the ICU. Patients were assessed daily using the Richmond Agitation-Sedation Scale and the Confusion Assessment Method for ICU and categorized according to the delirium subtype. Participants were split into 10 groups according to BCR at ICU admission and the prevalence of each delirium subtype was compared. Multivariable logistic regression was then used for analysis. A higher BCR at ICU admission was associated with the development of hypoactive delirium. Moreover, BCR > 24.9 was associated with higher rates of hypoactive delirium. Our findings showed that a high BCR at ICU admission was associated with the development of hypoactive delirium, which suggested that BCR could be a potential biomarker for hypoactive delirium in ICU patients.

Acquisition of new medical devices among the persistently critically ill: A retrospective cohort study in the Veterans Affairs

Patients who develop persistent critical illness remain in the ICU predominately because they develop new late-onset organ failure(s), which may render them at risk of acquiring a new medical device. The epidemiology and short-term outcomes of patients with persistent critical illness who acquire a new medical device are unknown. We retrospectively studied a cohort admitted to the Veterans Affairs (VA) ICUs from 2014 to 2019. Persistent critical illness was defined as an ICU length of stay of at least 14 days. Receipt of new devices was defined as acquisition of a new tracheostomy, feeding tube (including gastrostomy and jejunostomy tubes), implantable cardiac device, or ostomy. Logistic regression models were fit to identify patient factors associated with the acquisition of each new medical device. Among hospitalized survivors, 90-day posthospitalization discharge location and mortality were identified. From 2014 to 2019, there were 13,184 ICU hospitalizations in the VA which developed persistent critical illness. In total, 30.4% of patients (N = 3998/13,184) acquired at least 1 medical device during their persistent critical illness period. Patients with an initial higher severity of illness and prolonged hospital stay preICU admission had higher odds of acquiring each medical device. Among patients who survived their hospitalization, discharge location and mortality did not significantly differ among those who acquired a new medical device as compared to those who did not. Less than one-third of patients with persistent critical illness acquire a new medical device and no significant difference in short-term outcomes was identified. Future work is needed to understand if the acquisition of new medical devices is contributing to the development of persistent critical illness.

Stress on caregivers providing prolonged mechanical ventilation patient care in different facilities: A cross-sectional study

Purpose

Taiwan has implemented an integrated prospective payment program (IPP) for prolonged mechanical ventilation (PMV) patients that consists of four stages of care: intensive care unit (ICU), respiratory care center (RCC), respiratory care ward (RCW), and respiratory home care (RHC). We aimed to investigate the life impact on family caregivers of PMV patients opting for a payment program and compared different care units.

Method

A total of 610 questionnaires were recalled. Statistical analyses were conducted by using the chi-square test and multivariate logistic regression model.

Results

The results indicated no associations between caregivers’ stress levels and opting for a payment program. Participants in the non-IPP group spent less time with friends and family owing to caregiver responsibilities. The results of the family domain show that the RHC group (OR = 2.54) had worsened family relationships compared with the ICU group; however, there was less psychological stress in the RCC (OR = 0.54) and RCW (OR = 0.16) groups than in the ICU group. In the social domain, RHC interviewees experienced reduced friend and family interactivity (OR = 2.18) and community or religious activities (OR = 2.06) than the ICU group. The RCW group felt that leisure and work time had less effect (OR = 0.37 and 0.41) than the ICU group. Furthermore, RCW interviewees (OR = 0.43) were less influenced by the reduced family income than the ICU group in the economic domain.

Conclusions

RHC family caregivers had the highest level of stress, whereas family caregivers in the RCW group had the lowest level of stress.

The Changing Landscape in Pediatric Hospitals: A Multicenter Study of How Pediatric Chronic Critical Illness Impacts NICU Throughput

OBJECTIVE

Pediatric inpatient bed availability is increasingly constrained by the prolonged hospitalizations of children with medical complexity. The sickest of these patients are chronic critically ill and often have protracted intensive care unit (ICU) stays. Numbers and characteristics of infants with chronic critical illness are unclear, which undermines resource planning in ICU's and general pediatric wards. The goal of this study was to describe infants with chronic critical illness at six academic institutions in the United States.

STUDY DESIGN

Infants admitted to six academic medical centers were screened for chronic, critical illness based on a combination of prolonged and repeated hospitalizations, use of medical technology, and chronic multiorgan involvement. Data regarding patient and hospitalization characteristics were collected.

RESULTS

Just over one-third (34.8%) of pediatric inpatients across the six centers who met eligibility criteria for chronic critical illness were <12 months of age. Almost all these infants received medical technology (97.8%) and had multiorgan involvement (94.8%). Eighty-six percent (115/134) had spent time in an ICU during the current hospitalization; 31% were currently in a neonatal ICU, 34% in a pediatric ICU, and 17% in a cardiac ICU. Among infants who had been previously discharged home (n = 55), most had been discharged with medical technology (78.2%) and nearly all were still using that technology during the current readmission. Additional technologies were commonly added during the current hospitalization.

CONCLUSION

Advanced strategies are needed to plan for hospital resource allocation for infants with chronic critical illness. These infants' prolonged hospitalizations begin in the neonatal ICU but often transition to other ICUs and general inpatient wards. They are commonly discharged with medical technology which is rarely weaned but often escalated during subsequent hospitalizations. Identification and tracking of these infants, beginning in the neonatal ICU, will help hospitals anticipate and strategize for inpatient bed management.

KEY POINTS

· 35% of inpatients with chronic critical illness are infants.. · Nearly 90% of these infants spend some time in an intensive care unit.. · 78% are discharged with medical technology..

Perspective: Drawing on Findings From Critical Illness to Explain Myalgic Encephalomyelitis/Chronic Fatigue Syndrome

We propose an initial explanation for how myalgic encephalomyelitis / chronic fatigue syndrome (ME/CFS) could originate and perpetuate by drawing on findings from critical illness research. Specifically, we combine emerging findings regarding (a) hypoperfusion and endotheliopathy, and (b) intestinal injury in these illnesses with our previously published hypothesis about the role of (c) pituitary suppression, and (d) low thyroid hormone function associated with redox imbalance in ME/CFS. Moreover, we describe interlinkages between these pathophysiological mechanisms as well as “vicious cycles” involving cytokines and inflammation that may contribute to explain the chronic nature of these illnesses. This paper summarizes and expands on our previous publications about the relevance of findings from critical illness for ME/CFS. New knowledge on diagnostics, prognostics and treatment strategies could be gained through active collaboration between critical illness and ME/CFS researchers, which could lead to improved outcomes for both conditions.

The Child With Severe Chronic Illness in the ICU: A Concise Review

OBJECTIVES

Children with severe chronic illness are a prevalent, impactful, vulnerable group in PICUs, whose needs are insufficiently met by transitory care models and a narrow focus on acute care needs. Thus, we sought to provide a concise synthetic review of published literature relevant to them and a compilation of strategies to address their distinctive needs.

DATA SOURCES

English language articles were identified in MEDLINE using a variety of phrases related to children with chronic conditions, prolonged admissions, resource utilization, mortality, morbidity, continuity of care, palliative care, and other critical care topics. Bibliographies were also reviewed.

STUDY SELECTION

Original articles, review articles, and commentaries were considered.

DATA EXTRACTION

Data from relevant articles were reviewed, summarized, and integrated into a narrative synthetic review.

DATA SYNTHESIS

Children with serious chronic conditions are a heterogeneous group who are growing in numbers and complexity, partly due to successes of critical care. Because of their prevalence, prolonged stays, readmissions, and other resource use, they disproportionately impact PICUs. Often more than other patients, critical illness can substantially negatively affect these children and their families, physically and psychosocially. Critical care approaches narrowly focused on acute care and transitory/rotating care models exacerbate these problems and contribute to ineffective communication and information sharing, impaired relationships, subpar and untimely decision-making, patient/family dissatisfaction, and moral distress in providers. Strategies to mitigate these effects and address these patients' distinctive needs include improving continuity and communication, primary and secondary palliative care, and involvement of families. However, there are limited outcome data for most of these strategies and little consensus on which outcomes should be measured.

CONCLUSIONS

The future of pediatric critical care medicine is intertwined with that of children with serious chronic illness. More concerted efforts are needed to address their distinctive needs and study the effectiveness of strategies to do so.

Days out of Institution after Tracheostomy and Gastrostomy Placement in Critically Ill Older Adults

Rationale: Tracheostomy and gastrostomy tubes are frequently placed during critical illness for long-term life support, with most placed in older adults. Large knowledge gaps exist regarding outcomes expressed as most important to patients. Objectives: To determine the number of days alive and out of institution (DAOIs) and mortality after tracheostomy and gastrostomy placement during critical illness and to evaluate associations between health states before critical illness and outcomes. Methods: In this retrospective cohort study of Medicare beneficiaries admitted to an intensive care unit (ICU) who received a tracheostomy, gastrostomy, or both, we determined the number of DAOIs after procedure date; 90-day, 6-month, and 1-year mortality; hospital discharge destination; and hospital length of stay. We used claims from the year before admission to define eight mutually exclusive pre-ICU health states (permutations of one or more of cancer, chronic organ failure, frail, and robust) and assessed their association with DAOIs in 90 days and 1-year mortality. Results: Among 3,365 patients who received a tracheostomy, 6,709 patients who received a gastrostomy tube, and 3,540 patients who received both procedures, the median number of DAOIs in the first 90 days after placement was 3 (interquartile range, 0-46), 12 (0-61), and 0 (0-37), respectively. Over half died within 180 days. One-year mortality was 62%, 60%, and 64%, respectively. When compared with the robust state, all other pre-ICU health states were associated with loss of DAOIs and increased 1-year mortality; however, between the seven non-robust pre-ICU health states, there were no differences in outcomes. Conclusions: Medicare beneficiaries with prior comorbidity who received tracheostomy, gastrostomy tube, or both during critical illness spent few DAOIs and had high short- and long-term mortality.

Impact of frailty on persistent critical illness: a population-based cohort study

PURPOSE

Acute illness severity predicts mortality in intensive care unit (ICU) patients, however, its predictive value decreases over time in ICU. Typically after 10 days, pre-ICU (antecedent) characteristics become more predictive of mortality, defining the onset of persistent critical illness (PerCI). How patient frailty affects development and death from PerCI is unknown.

METHODS

We conducted a secondary analysis of data from a prospective binational cohort study including 269,785 critically ill adults from 168 ICUs in Australia and New Zealand, investigating whether frailty measured with the Clinical Frailty Scale (CFS) changes the timing of onset and risk of developing PerCI and of subsequent in-hospital mortality. We assessed associations between frailty (CFS ≥ 5) and mortality prediction using logistic regression and area under the receiver operating characteristics (AUROC) curves.

RESULTS

2190 of 50,814 (4.3%) patients with frailty (CFS ≥ 5) versus 6624 of 218,971 (3%) patients without frailty (CFS ≤ 4) developed PerCI (P < 0.001). Among patients with PerCI, 669 of 2190 (30.5%) with frailty and 1194 of 6624 without frailty (18%) died in hospital (P < 0.001). The time point defining PerCI onset did not vary with frailty degree; however, with increasing length of ICU stay, inclusion of frailty progressively improved mortality discrimination (0.1% AUROC improvement on ICU day one versus 3.6% on ICU day 17).

CONCLUSION

Compared to patients without frailty, those with frailty have a higher chance of developing and dying from PerCI. Moreover the importance of frailty as a predictor of mortality increases with ICU length of stay. Future work should explore incorporation of frailty in prognostic models, particularly for long-staying patients.

Characterization of Early Peripheral Immune Responses in Patients with Sepsis and Septic Shock

(1) Background: Sepsis is a life-threatening condition caused by an abnormal host response to infection that produces altered physiological responses causing tissue damage and can result in organ dysfunction and, in some cases, death. Although sepsis is characterized by a malfunction of the immune system leading to an altered immune response and immunosuppression, the high complexity of the pathophysiology of sepsis requires further investigation to characterize the immune response in sepsis and septic shock. (2) Methods: This study analyzes the immune-related responses occurring during the early stages of sepsis by comparing the amounts of cytokines, immune modulators and other endothelial mediators of a control group and three types of severe patients: critically ill non-septic patients, septic and septic shock patients. (3) Results: We showed that in the early stages of sepsis the innate immune system attempts to counteract infection, probably via neutrophils. Conversely, the adaptive immune system is not yet fully activated, either in septic or in septic shock patients. In addition, immunosuppressive responses and pro-coagulation signals are active in patients with septic shock. (4) Conclusions: The highest levels of IL-6 and pyroptosis-related cytokines (IL-18 and IL-1α) were found in septic shock patients, which correlated with D-dimer. Moreover, endothelial function may be affected as shown by the overexpression of adhesion molecules such as s-ICAM1 and E-Selectin during septic shock.

Chronic Critical Illness in Patients with COVID-19: Characteristics and Outcome of Prolonged Intensive Care Therapy

The spread of SARS-CoV-2 caused a worldwide healthcare threat. High critical care admission rates related to Coronavirus Disease 2019 (COVID-19) respiratory failure were observed. Medical advances helped increase the number of patients surviving the acute critical illness. However, some patients require prolonged critical care. Data on the outcome of patients with a chronic critical illness (CCI) are scarce. Single-center retrospective study including all adult critically ill patients with confirmed COVID-19 treated at the Department of Intensive Care Medicine at the University Medical Center Hamburg-Eppendorf, Germany, between 1 March 2020 and 8 August 2021. We identified 304 critically ill patients with COVID-19 during the study period. Of those, 55% (n = 167) had an ICU stay ≥21 days and were defined as chronic critical illness, and 45% (n = 137) had an ICU stay <21 days. Age, sex and BMI were distributed equally between both groups. Patients with CCI had a higher median SAPS II (CCI: 39.5 vs. no-CCI: 38 points, p = 0.140) and SOFA score (10 vs. 6, p < 0.001) on admission. Seventy-three per cent (n = 223) of patients required invasive mechanical ventilation (MV) (86% vs. 58%; p < 0.001). The median duration of MV was 30 (17-49) days and 7 (4-12) days in patients with and without CCI, respectively (p < 0.001). The regression analysis identified ARDS (OR 3.238, 95% CI 1.827-5.740, p < 0.001) and referral from another ICU (OR 2.097, 95% CI 1.203-3.654, p = 0.009) as factors significantly associated with new-onset of CCI. Overall, we observed an ICU mortality of 38% (n = 115) in the study cohort. In patients with CCI we observed an ICU mortality of 28% (n = 46) compared to 50% (n = 69) in patients without CCI (p < 0.001). The 90-day mortality was 28% (n = 46) compared to 50% (n = 70), respectively (p < 0.001). More than half of critically ill patients with COVID-19 suffer from CCI. Short and long-term survival rates in patients with CCI were high compared to patients without CCI, and prolonged therapy should not be withheld when resources permit prolonged therapy.

Remote Monitoring of Chronic Critically Ill Patients after Hospital Discharge: A Systematic Review

Background: Over the past few decades, critical care has seen many advancements. These advancements resulted in a considerable increase in the prevalence of chronically critically ill patients requiring prolonged medical care, which led to a massive increase in healthcare utilization. Methods: We performed a search for suitable articles using PubMed and Google Scholar from the inception of these databases to 15 May 2021. Results: Thirty-four articles were included in the review and analyzed. We described the following characteristics and problems with chronic critically ill patient management: the patient population, remote monitoring, the monitoring of physiological parameters in chronic critically ill patients, the anatomical location of sensors, the barriers to implementation, and the main technology-related issues. The main challenges in the management of these patients are (1) the shortage of caretakers, (2) the periodicity of vital function monitoring (e.g., episodic measuring of blood pressure leads to missing important critical events such as hypertension, hypotension, and hypoxia), and (3) failure to catch and manage critical physiological events at the right time, which can result in poor outcomes. Conclusions: The prevalence of critically ill patients is expected to grow. Technical solutions can greatly assist medical personnel and caregivers. Wearable devices can be used to monitor blood pressure, heart rate, pulse, respiratory rate, blood oxygen saturation, metabolism, and central nervous system function. The most important points that should be addressed in future studies are the performance of the remote monitoring systems, safety, clinical and economic outcomes, as well as the acceptance of the devices by patients, caretakers, and healthcare professionals.

Hi-C Metagenomics in the ICU: Exploring Clinically Relevant Features of Gut Microbiome in Chronically Critically Ill Patients

Gut microbiome in critically ill patients shows profound dysbiosis. The most vulnerable is the subgroup of chronically critically ill (CCI) patients - those suffering from long-term dependence on support systems in intensive care units. It is important to investigate their microbiome as a potential reservoir of opportunistic taxa causing co-infections and a morbidity factor. We explored dynamics of microbiome composition in the CCI patients by combining "shotgun" metagenomics with chromosome conformation capture (Hi-C). Stool samples were collected at 2 time points from 2 patients with severe brain injury with different outcomes within a 1-2-week interval. The metagenome-assembled genomes (MAGs) were reconstructed based on the Hi-C data using a novel hicSPAdes method (along with the bin3c method for comparison), as well as independently of the Hi-C using MetaBAT2. The resistomes of the samples were derived using a novel assembly graph-based approach. Links of bacteria to antibiotic resistance genes, plasmids and viruses were analyzed using Hi-C-based networks. The gut community structure was enriched in opportunistic microorganisms. The binning using hicSPAdes was superior to the conventional WGS-based binning as well as to the bin3c in terms of the number, completeness and contamination of the reconstructed MAGs. Using Klebsiella pneumoniae as an example, we showed how chromosome conformation capture can aid comparative genomic analysis of clinically important pathogens. Diverse associations of resistome with antimicrobial therapy from the level of assembly graphs to gene content were discovered. Analysis of Hi-C networks suggested multiple "host-plasmid" and "host-phage" links. Hi-C metagenomics is a promising technique for investigating clinical microbiome samples. It provides a community composition profile with increased details on bacterial gene content and mobile genetic elements compared to conventional metagenomics. The ability of Hi-C binning to encompass the MAG's plasmid content facilitates metagenomic evaluation of virulence and drug resistance dynamics in clinically relevant opportunistic pathogens. These findings will help to identify the targets for developing cost-effective and rapid tests for assessing microbiome-related health risks.

Outcomes of prolonged intensive care and rehabilitation at a specialized multidisciplinary center in Sweden

BACKGROUND

Specialized clinics may improve the outcome for patients with prolonged intensive care stays. Admission may depend on diagnosis, need of respiratory support and more. We report the results from a Swedish specialized center with a multidisciplinary team approach to continued intensive care and simultaneous rehabilitation regardless of patients' primary diagnosis or ventilator need.

METHODS

All patients admitted and discharged from 2015 to 2018 were included. Demographics, diagnoses, ventilatory support requirement, discharge destination and survival were retrieved from the center´s quality registry.

RESULTS

A total of 181 patients, mean age 61 ± 16 years, 64% men, were analyzed. A neurological diagnosis was the cause for hospitalization in 46% of patients. Of the 55 patients admitted to the center for weaning from mechanical ventilation, 89% were successfully weaned within a median of 25 (interquartile range (IQR) 16-45) days. Decannulation was intended in 117 patients of which 90% were successful within a median of 25 (IQR 13-43) days. Readmission to intensive care was 4%. Most patients were discharged to their home or to rehabilitation clinics with a lower level of care. In-clinic mortality was 3%. Survival beyond 1 and 2 years after discharge was 79% and 70%, respectively.

CONCLUSION

Patients with prolonged intensive care and complex medical needs treated at a specialized center in Sweden had weaning and decannulation rates comparable to or better than previously reported. Mortality was low, and most patients were discharged home or for further rehabilitation. This was achieved with a multidisciplinary team approach to continued intensive care and simultaneous rehabilitation.

Recent Trends in Admission Diagnosis and Related Mortality in the Medically Critically Ill

PURPOSE

With decades of declining ICU mortality, we hypothesized that the outcomes and distribution of diseases cared for in the ICU have changed and we aimed to further characterize them.

STUDY DESIGN AND METHODS

A retrospective cohort analysis of 287,154 nonsurgical-critically ill adults, from 237 U.S. ICUs, using the manually abstracted Cerner APACHE Outcomes database from 2008 to 2016 was performed. Surgical patients, rare admission diagnoses (<100 occurrences), and low volume hospitals (<100 total admissions) were excluded. Diagnoses were distributed into mutually exclusive organ system/disease-based categories based on admission diagnosis. Multi-level mixed-effects negative binomial regression was used to assess temporal trends in admission, in-hospital mortality, and length of stay (LOS).

RESULTS

The number of ICU admissions remained unchanged (IRR 0.99, 0.98-1.003) while certain organ system/disease groups increased (toxicology [25%], hematologic/oncologic [55%] while others decreased (gastrointestinal [31%], pulmonary [24%]). Overall risk-adjusted in-hospital mortality was unchanged (IRR 0.98, 0.96-1.0004). Risk-adjusted ICU LOS (Estimate -0.06 days/year, -0.07 to -0.04) decreased. Risk-adjusted mortality varied significantly by disease.

CONCLUSION

Risk-adjusted ICU mortality rate did not change over the study period, but there was evidence of shifting disease burden across the critical care population. Our data provides useful information regarding future ICU personnel and resource needs.

Serum Levels of Acylcarnitines and Amino Acids Are Associated with Liberation from Organ Support in Patients with Septic Shock

Sepsis-induced metabolic dysfunction is associated with mortality, but the signatures that differentiate variable clinical outcomes among survivors are unknown. Our aim was to determine the relationship between host metabolism and chronic critical illness (CCI) in patients with septic shock. We analyzed metabolomics data from mechanically ventilated patients with vasopressor-dependent septic shock from the placebo arm of a recently completed clinical trial. Baseline serum metabolites were measured by liquid chromatography-mass spectrometry and ¹H-nuclear magnetic resonance. We conducted a time-to-event analysis censored at 28 days. Specifically, we determined the relationship between metabolites and time to extubation and freedom from vasopressors using a competing risk survival model, with death as a competing risk. We also compared metabolite concentrations between CCI patients, defined as intensive care unit level of care ≥ 14 days, and those with rapid recovery. Elevations in two acylcarnitines and four amino acids were related to the freedom from organ support (subdistributional hazard ratio < 1 and false discovery rate < 0.05). Proline, glycine, glutamine, and methionine were also elevated in patients who developed CCI. Our work highlights the need for further testing of metabolomics to identify patients at risk of CCI and to elucidate potential mechanisms that contribute to its etiology.

Development and reliability of a new system for bedside evaluation of non-volitional knee extension force

PURPOSE

Neuromuscular electrical stimulation (NMES) is a widely-used technique for diagnostic and therapeutic purposes. Here we developed and tested the reliability of a new NMES-dynamometer system for bedside evaluation of knee extensor muscle function.

MATERIALS AND METHODS

Thirty-two healthy participants (16 men, 16 women; 27±5 years) completed two testing sessions, 7 days apart. On day 1, a single experienced rater, who repeated the evaluation on day 2 with two other raters, completed a standardized testing procedure. Participants were placed supine, with knees flexed and legs connected to the dynamometer. Maximal voluntary knee extensor isometric force (MVF) and supramaximal twitch force (TwF) were obtained.

RESULTS

High intra-rater intraclass correlation coefficients were observed for both MVF (0.91) and TwF (0.94). MVF and TwF standard error of measurements (8.2%, 5.9%) and minimal detectable changes (16%, 11.6%) were low compared to mean values. High intraclass correlation coefficients were also observed for inter-rater comparisons of MVF (0.89) and TwF (0.86). Standard errors of measurements (MVF: 8.7%, TwF: 5.5%) and minimal detectable changes (MVF: 17.2%, TwF: 10.8%) were similar to intra-rater comparisons.

CONCLUSION

The good reliability of the novel NMES-dynamometer system suggests it as an appropriate tool for the bedside evaluation of knee extensor muscle function.

The impact of patient delirium in the intensive care unit: patterns of anxiety symptoms in family caregivers

BACKGROUND

The purpose of this study was to examine the association of patient delirium in the intensive care unit (ICU) with patterns of anxiety symptoms in family caregivers when delirium was determined by clinical assessment and family-administered delirium detection.

METHODS

In this cross-sectional study, consecutive adult patients anticipated to remain in the ICU for longer than 24 h were eligible for participation given at least one present family caregiver (e.g., spouse, friend) provided informed consent (to be enrolled as a dyad) and were eligible for delirium detection (i.e., Richmond Agitation-Sedation Scale score ≥ - 3). Generalized Anxiety Disorder-7 (GAD-7) was used to assess self-reported symptoms of anxiety. Clinical assessment (Confusion Assessment Method for ICU, CAM-ICU) and family-administered delirium detection (Sour Seven) were completed once daily for up to five days.

RESULTS

We included 147 family caregivers; the mean age was 54.3 years (standard deviation [SD] 14.3 years) and 74% (n = 129) were female. Fifty (34% [95% confidence interval [CI] 26.4-42.2]) caregivers experienced clinically significant symptoms of anxiety (median GAD-7 score 16.0 [interquartile range 6]). The most prevalent symptoms of anxiety were "Feeling nervous, anxious or on edge" (96.0% [95%CI 85.2-99.0]); "Not being able to stop or control worrying" (88.0% [95%CI 75.6-94.5]; "Worrying too much about different things" and "Feeling afraid as if something awful might happen" (84.0% [95%CI 71.0-91.8], for both). Family caregivers of critically ill adults with delirium were significantly more likely to report "Worrying too much about different things" more than half of the time (CAM-ICU, Odds Ratio [OR] 2.27 [95%CI 1.04-4.91]; Sour Seven, OR 2.28 [95%CI 1.00-5.23]).

CONCLUSIONS

Family caregivers of critically ill adults with delirium frequently experience clinically significant anxiety and are significantly more likely to report frequently worrying too much about different things. Future work is needed to develop mental health interventions for the diversity of anxiety symptoms experienced by family members of critically ill patients.

TRIAL REGISTRATION

This study is registered on ClinicalTrials.gov ( https://clinicaltrials.gov/ct2/show/NCT03379129 ).

Insights into the challenges faced by chronically critically ill patients, their families and healthcare providers: An interpretive description

OBJECTIVE

To describe and understand the challenges of patients with chronic critical illness (CCI), their families and healthcare providers during the disease trajectory.

METHODOLOGY/DESIGN

This qualitative study follows Thorne's methodology of interpretive description and was guided by the ethnographic method of observation and participation. Five cases, each comprising one patient with chronic critical illness their family members and several healthcare providers, were followed from the intensive care unit of a university hospital in Switzerland across different settings. In total, five patients with chronic critical illness, 12 family members and 92 healthcare providers (nurses, nursing students, care assistants, physiotherapists and occupational therapists and physicians) were observed.

FINDINGS

Regardless of the medical diagnoses and disease trajectories of the patients with chronic critical illness, all cases faced three main challenges: 1. Dealing with the unpredictability of the disease trajectory beyond the underlying disease. 2. Coping with the complexity of care. 3. Perceiving communication challenges despite all involved parties' dependency on it.

CONCLUSION

Unpredictability is not only a unique characteristic of the prolonged disease trajectory of patients with chronic critical illness, but also one of the main challenges of the participants. Therefore, the way unpredictability is handled is dependent on changes in the complexity of care and communication, highlighting the need for participation, information, empathy, clarity and honesty among all participants.

The Association between Patient Health Status and Surrogate Decision Maker Post-Traumatic Stress Disorder Symptoms in Chronic Critical Illness

Rationale: Surrogate decision-makers of patients with chronic critical illness (CCI) are at high risk for symptoms of post-traumatic stress disorder (PTSD). Whether patient health status after hospital discharge is a risk factor for surrogate PTSD symptoms is not known. Objectives: To determine the association between patient health status 90 days after the onset of CCI and surrogate symptoms of PTSD. Methods: We performed a secondary analysis of the data from a multicenter randomized trial of a communication intervention for adult patients with CCI and their surrogate decision-makers. Results: Surrogate PTSD symptoms were measured at 90 days using the Impact of Events Scale-Revised. For patients who were alive at 90 days, location was used as a marker of health status and included the following categories: 1) home (relatively good health and low acuity), 2) acute rehabilitation (moderate care needs and impairments, generally expected to improve), 3) skilled nursing facility (moderate care needs and impairments, generally not expected to improve significantly or quickly), 4) long-term acute care facility (persistently high acute care needs and functional impairment), and 5) readmission to an acute care hospital (suggesting the highest acuity of illness and care needs of the cohort). Patients who died before 90 days were categorized as deceased. In the analyses, 365 surrogates and 256 patients were included. Among patients, 49% were female, and the mean age was 59 years. Among surrogates, 71% were female, and the mean age was 51 years. A directed acyclic graph was constructed to identify covariates to be included in the model. Compared with symptoms seen among surrogates of patients living at home, heightened PTSD symptoms were seen among surrogates of patients who were readmitted to an acute care hospital (β coefficient, 15.9; 95% confidence interval [CI], 4.5 to 27.3) or had died (β coefficient, 14.8; 95% CI, 8.8 to 20.9) at 90 days. Conclusions: Surrogates of patients with CCI who have died or have been readmitted to an acute care hospital at 90 days experience increased PTSD symptoms as compared with surrogates of patients who are living at home. These patients and surrogates represent a readily identifiable group who may benefit from enhanced emotional support.

End-Expiratory Lung Volumes During Spontaneous Breathing Trials in Tracheostomized Subjects on Prolonged Mechanical Ventilation

BACKGROUND

The role of end-expiratory lung volume (EELV) during a spontaneous breathing trial (SBT) in patients who were tracheostomized and on prolonged mechanical ventilation is unclear. This study aimed to assess EELV during a 60-min SBT and its correlation with weaning success.

METHODS

Enrolled subjects admitted to a weaning unit were measured for EELV and relevant parameters before and after the SBT.

RESULTS

Of the 44 enrolled subjects, 29 (66%) were successfully liberated, defined as not needing mechanical ventilation for 5 d. The success group had fewer subjects with chronic kidney disease (41% vs 73%, P = .044), stronger mean ± SD maximum inspiratory pressure (41.6 ± 10.4 vs 34.1 ± 7.1 cm H₂O; P = .02) and mean ± SD maximum expiratory pressure (46.9 ± 11.7 vs 35.3 ± 16.9 cm H₂O; P = .01) versus the failure group. Toward the end of the SBT, the success group had a significant increase in the mean ± SD EELV (before vs after: 1,278 ± 744 vs 1,493 ± 867 mL; P = .040) and a decrease in the mean ± SD rapid shallow breathing index (83.8 ± 39.4 vs 66.3 ± 29.4; P = .02), whereas there were no significant changes in these 2 parameters in the failure group. The Cox regression analysis showed that, at the beginning of SBT, a greater difference between EELV with a PEEP of 0 cm H₂O and with a PEEP of 5 cm H₂O was significantly correlated to a higher likelihood of weaning success. Toward the end of the SBT, a greater EELV level at a PEEP of 0 cm H₂O was also correlated with weaning success. Also, the greater difference of EELV at a PEEP of 0 cm H₂O between the beginning and the end of the SBT was also correlated with a shorter duration to weaning success.

CONCLUSIONS

The change in EELV during a 60-min SBT may be of prognostic value for liberation from prolonged mechanical ventilation in patients who had a tracheostomy. Our findings suggest a model to understand the underlying mechanism of failure of liberation from mechanical ventilation in these patients.

The long-term ICU patient: Which definition?

AIMS AND OBJECTIVES

To offer a review of the differing terminologies used by clinicians and researchers to describe the long-term intensive care unit (ICU) patient and the underlying propositions that align with this terminology.

BACKGROUND

Ongoing medical and technological advances in emergency and intensive care have resulted in improved survival of critically ill patients in recent decades. In addition, these advancements have also resulted in improved survival of complex critically ill patients who progress to a trajectory of prolonged critical illness, having protracted stays in the ICU. There is great variability in terminology used to define the long-term ICU patient. This lack of a common definition for long-term ICU patients is problematic, increasing their vulnerability and risk of care not being centred about their unique needs.

DESIGN

In this discursive article, we explore the terminology used to define the long-term ICU patient. An initial broad search of the literature across four electronic databases was conducted to identify common terminology used to define the long-term ICU patient. From here, seven definitions were identified and chosen for inclusion in the review as they meet inclusion criteria and clearly described a group of patients who have an extended ICU stay. The seven selected terms are as follows: prolonged mechanical ventilation; failure to wean; insertion of tracheostomy; chronically critically ill; persistent critical illness; persistent inflammatory-immunosuppressive and catabolic syndrome; and frailty. Following this a focused review of the literature with the selected terms was conducted to explore in greater detail the terminology.

DISCUSSION

The lack of clear definition for this patient group can potentiate their care needs being unmet. Acknowledgement of the need to clearly define this patient group is the first step to improve outcomes. Nursing is well positioned to recognise the different terminologies use to describe this group of patients and implement care to suit their unique clinical characteristics.

CONCLUSION AND RELEVANCE TO CLINICAL PRACTICE

Recognition and standardisation of these terms are an important priority to pave the way to improve care pathways and outcomes for this group of patients and their family.

Cystatin C and/or creatinine-based estimated glomerular filtration rate for prediction of vancomycin clearance in long-stay critically ill patients with persistent inflammation, immunosuppression and catabolism syndrome (PICS): a population pharmacokinetics analysis

Persistent inflammation, immunosuppression and catabolism syndrome (PICS) in critically ill patients are associated with unreliable creatinine (Cr)-based estimated glomerular filtration rate (eGFR) and alteration in vancomycin clearance (CL) due to ongoing muscle wasting and renal dysfunction (RD). Currently, cystatin C (Cys) is of great interest for eGFR due to its muscle independence. Patients receiving intravenous vancomycin with trough concentration monitoring after intensive care unit stay ≥ 14 days were retrospectively enrolled. Those with C-reactive protein > 30.0 mg/L, lymphocytes count < 0.80 × 10⁹, albumin < 30 mg/L and weight loss > 10% were diagnosed with PICS. Impact of PICS on vancomycin trough achievement was analyzed. Plasma Cys and Cr levels with their eGFRs in RD were compared in patients with and without PICS. Furthermore, the performance of eGFRs in predicting vancomycin CL was quantificationally evaluated by population pharmacokinetics (PPK) analysis using the Phoenix NLME software. Of 69 enrolled patients, 32 (46.4%) were PICS. PICS was predictive of Cr-guided vancomycin supratherapeutic trough concentrations (OR = 5.26, P = 0.013). Significant elevation of Cys, not of Cr, was observed in patients with PICS suffering from RD (P = 0.022), causing substantial differences among eGFRs. Fifty-two and 17 patients were enrolled for the modeling group and validation group, respectively. A one-compartment PPK model with first-order elimination adequately described the data of 126 C_trough. Prediction of vancomycin CL with Cys and Cr-based eGFR (CKD-EPI_cys-cr) significantly reduced the interindividual variability of CL (from 75.6 to 28.5%). External validation with 34 C_trough showed the robustness and accuracy of this model. This study showed the negative impact of PICS on Cr-guided vancomycin trough achievement. PPK model with CKD-EPI_cys-cr can be used to optimize vancomycin dosage in patients with PICS.

Mechanical ventilation for older medical patients in a large tertiary medical care center

Aim

The aim of the study is to determine the factors influencing the outcomes of older ventilated medical patients in a large tertiary medical center.

Findings

Of 554 older patients (mean age 79 years) who underwent mechanical ventilation for the first time during the study period in-hospital mortality was 64.1% and overall 6-months survival was 26%. A combination of age 85 years and older, poor functional status prior to ventilation, and associated morbidity were the strongest negative predictors of survival after discharge from the hospital.

Message

The identification of factors predicting poor survival of mechanical ventilation will assist policy makers in clinical decision-making particularly at times of limited health resources.

Background

The development of technologies for the prolongation of life has resulted in an increase in the number of older ventilated patients in internal medicine and chronic care wards. Our study aimed to determine the factors influencing the outcomes of older ventilated medical patients in a large tertiary medical center.

Methods

We performed a prospective observational cohort study including all newly ventilated medical patients aged 65 years and older over a period of 18 months. Data were acquired from computerized medical records and from an interview of the medical personnel initiating mechanical ventilation.

Results

A total of 554 patients underwent mechanical ventilation for the first time during the study period. The average age was 79 years, and 80% resided at home. Following mechanical ventilation, 8% died in the emergency room, and the majority of patients (351; 63%) were hospitalized in internal medicine wards. In-hospital mortality was 64.1%, with 48% dying during the first week of hospitalization. Overall 6-months survival was 26%. We found that a combination of age 85 years and older, functional status prior to ventilation, and associated morbidity (diabetes with target organ injury and/or oncological solid organ disease) were the strongest negative predictors of survival after discharge from the hospital.

Conclusion

Mechanical ventilation at older age is associated with poor survival and it is possible to identify factors predicting survival. In the midst of the COVID-19 pandemic, the findings of this study may help in the decision-making process regarding mechanical ventilation for older people.