Unmasking the hidden aftermath: postintensive care unit sequelae, discharge preparedness, and long-term follow-up.

A significant portion of individuals who have experienced critical illness encounter new or exacerbated impairments in their physical, cognitive, or mental health, commonly referred to as postintensive care syndrome. Moreover, those who survive critical illness often face an increased risk of adverse consequences, including infections, major cardiovascular events, readmissions, and elevated mortality rates, during the months following hospitalization. These findings emphasize the critical necessity for effective prevention and management of long-term health deterioration in the critical care environment. Although conclusive evidence from well-designed randomized clinical trials is somewhat limited, potential interventions include strategies such as limiting sedation, early mobilization, maintaining family presence during the intensive care unit stay, implementing multicomponent transition programs (from intensive care unit to ward and from hospital to home), and offering specialized posthospital discharge follow-up. This review seeks to provide a concise summary of recent medical literature concerning long-term outcomes following critical illness and highlight potential approaches for preventing and addressing health decline in critical care survivors.

Anticipating ICU discharge and long-term follow-up.

PURPOSE OF REVIEW: This review aims to summarize recent literature findings on long-term outcomes following critical illness and to highlight potential strategies for preventing and managing health deterioration in survivors of critical care. RECENT FINDINGS: A substantial number of critical care survivors experience new or exacerbated impairments in their physical, cognitive or mental health, commonly named as postintensive care syndrome (PICS). Furthermore, those who survive critical illness often face an elevated risk of adverse outcomes in the months following their hospital stay, including infections, cardiovascular events, rehospitalizations and increased mortality. These findings underscore the need for effective prevention and management of long-term health deterioration in the critical care setting. While robust evidence from well designed randomized clinical trials is limited, potential interventions encompass sedation limitation, early mobilization, delirium prevention and family presence during intensive care unit (ICU) stay, as well as multicomponent transition programs (from ICU to ward, and from hospital to home) and specialized posthospital discharge follow-up. SUMMARY: In this review, we offer a concise overview of recent insights into the long-term outcomes of critical care survivors and advancements in the prevention and management of health deterioration after critical illness.

Bacterial coinfections in COVID-19-hospitalized patients.

OBJECTIVE: The aim of this study was to assess the rate of bacterial infections in COVID-19-hospitalized patients and to analyze the most prevalent germs, sources, risk factors, and its impact on in-hospital mortality. METHODS: This observational retrospective study was conducted on 672 patients hospitalized between April and August 2020 in Nossa Senhora da Conceição Hospital, a public hospital located in Porto Alegre, Brazil. The inclusion criterion was adult patients hospitalized with confirmed COVID-19. Data were collected through chart review. Risk factors for bacterial infection and mortality were analyzed using both univariate and multivariate robust Poisson regression models. RESULTS: Bacterial coinfection was observed in 22.2% of patients. Risk factors for bacterial infections were dementia (RR=2.06 (1.18-3.60); p=0.011), cerebrovascular disease (RR=1.75 (1.15-2.67); p=0.009), active cancer (RR=1.52 (1.082-2.15); p=0.01), need for noninvasive ventilation (RR=2.320 (1.740-3.094); p<0.01), invasive mechanical ventilation (RR=4.63 (2.24-9.56); p<0.01), and renal replacement therapy (RR=1.68 (1.26-2.25); p<0.01). In the adjusted model, bacterial infections were not associated with mortality (0.96 (0.75-1.24); p=0.79). The most common source of infection was due to respiratory, blood, and central venous catheters, with 69 (29.36%), 61 (25.96%), and 59 (25.11%) positive cultures, respectively. CONCLUSION: We observed a high rate of bacterial infections in COVID-19-hospitalized patients, most commonly of respiratory source. Neurologic and oncologic morbidities and need for ventilation and renal replacement therapy was associated with risk factors for bacterial infections. Nevertheless, an association between bacterial infections and hospital mortality was not established.

Long-Term Mortality and Health-Related Quality of Life After Continuous Versus Intermittent Renal Replacement Therapy in ICU Survivors: A Secondary Analysis of the Quality of Life After ICU Study.

Purpose: We assessed long-term outcomes in intensive care unit (ICU) survivors with acute kidney injury (AKI) submitted to intermittent or continuous renal replacement therapy (RRT) for comparisons between groups. Methods: The multicenter prospective cohort study included 195 adult ICU survivors with an ICU stay >72 h in 10 ICUs that had at least one episode of AKI treated with intermittent RRT (IRRT) or continuous RRT (CRRT) during ICU stay. The main outcomes were mortality and health-related quality of life (HRQoL). Hospital readmissions and physical dependence were also assessed. Results: Regarding RRT, 83 (42.6%) patients received IRRT and 112 (57.4%) received CRRT. Despite the similarity regarding sociodemographic characteristics, pre-ICU state of health and type of admission between groups, the risk of death (23.5% vs 42.7%; P < .001), the prevalence of sepsis (60.7%) and acute respiratory distress syndrome (17%) were higher at ICU admission among CRRT patients. The severity of critical illness was higher among CRRT patients, regarding the need for mechanical ventilation (75.0% vs 50.6%, P = .002) and vasopressors (91.1% vs 63.9%, P < .001). One year after ICU discharge, 67 of 195 ICU survivors died (34.4%) and, after adjustment for confounders, there were no significant differences in mortality when comparing IRRT and CRTT patients (34.9% vs 33.9%; P = .590), on HRQoL in both physical (41.9% vs 42.2%; P = .926) and mental dimensions (57.6% vs 56.6%; P = .340), and on the number of hospital readmissions and physical dependence. Conclusions: Our study suggests that among ICU survivors RRT modality (IRRT vs CRRT) in the ICU does not impact long-term outcomes after ICU discharge.

Comparison of Sepsis-1, 2 and 3 for Predicting Mortality in Septic Patients of a Middle-Income Country: A Retrospective Observational Cohort Study.

INTRODUCTION: The diagnosis of sepsis is based on expert consensus and does not yet have a "gold standard." With the aim of improving and standardizing diagnostic methods, there have already been three major consensuses on the subject. However, there are still few studies in middle-income countries comparing the methods. This study describes the characteristics of patients diagnosed with sepsis and evaluates and compares the performance of Sepsis-1, 2, and 3 criteria in predicting 28 days, and in-hospital mortality. PATIENTS AND METHODS: A retrospective observational cohort study was conducted in the intensive care unit of a tertiary hospital. All admissions between January 1, 2018, and December 31, 2019, were reviewed. Patients diagnosed with sepsis were included. RESULTS: During the study period, 653 patients diagnosed with sepsis (by any of the studied criteria) were included in the study. The 28 days mortality rate was 45.8%, and the in-hospital mortality rate was 59.7%. We observed that 72.1% of patients met the minimum criteria for diagnosing sepsis according to the three protocols, and this group also had the highest mortality rate. Age and comorbidities such as cancer and liver cirrhosis were significantly associated with in-hospital mortality. The most common microorganisms were Escherichia coli, Klebsiella spp., and Staphylococcus spp. CONCLUSIONS: The study found that most patients met the diagnostic criteria for sepsis using the three methods. Sepsis-2 showed greater sensitivity to predict mortality, while Sequential Organ Failure Assessment showed low accuracy, but was the only significant one. Furthermore, quick Sequential Organ Failure Assessment (qSOFA) had the highest specificity for mortality. Overall, these findings suggest that, although all three methods contribute to the diagnosis and prognosis of sepsis, Sepsis-2 is particularly sensitive in predicting mortality. Sepsis-3 shows some accuracy but requires improvement, and qSOFA exhibits the highest specificity. More research is needed to improve predictive capabilities and patient outcomes.

Lower quality of life in obese ICU survivors: a multicenter cohort study.

PURPOSE: To compare health-related quality of life (HRQoL) and functional status between obese, underweight, normal-weight, and overweight patients after three months post-intensive care unit (ICU) discharge. METHODS: Multicenter cohort study (10 Brazilian ICUs). 1600 ICU survivors (≥ 72 h in the ICU) were included.The main outcomes were HRQoL and functional status assessed three months after the ICU discharge. The secondary outcomes were mortality, hospital readmission, and ICU readmission during the same period. RESULTS: Obese patients (median 50.1; IQR 39.6-59.6) had lower HRQoL in the mental component than normal-weight patients (median 53; IQR 45.6-60.1) (p = 0.033). No differences were found between BMI categories regarding the physical component of HRQoL and the Barthel Index (p = 0.355 and 0.295, respectively). Regarding readmissions, 65.1 and 25.1% of patients were readmitted to the hospital and ICU, but there was no difference between the groups (p = 0.870 and 0.220, respectively). Obese patients died less frequently (11.8%) than underweight (30.9%) and normal-weight (19.3%) patients (p < 0.001). CONCLUSION: After three months of post-ICU discharge, obese patients had lower HRQoL in the mental component than normal-weight patients. However, obese patients died less than underweight and normal-weight patients.

Unmasking the hidden aftermath: postintensive care unit sequelae, discharge preparedness, and long-term follow-up / Desmascarando as consequências ocultas: sequelas pós-unidade de terapia intensiva, planejamento da alta e acompanhamento a longo prazo

ABSTRACT A significant portion of individuals who have experienced critical illness encounter new or exacerbated impairments in their physical, cognitive, or mental health, commonly referred to as postintensive care syndrome. Moreover, those who survive critical illness often face an increased risk of adverse consequences, including infections, major cardiovascular events, readmissions, and elevated mortality rates, during the months following hospitalization. These findings emphasize the critical necessity for effective prevention and management of long-term health deterioration in the critical care environment. Although conclusive evidence from well-designed randomized clinical trials is somewhat limited, potential interventions include strategies such as limiting sedation, early mobilization, maintaining family presence during the intensive care unit stay, implementing multicomponent transition programs (from intensive care unit to ward and from hospital to home), and offering specialized posthospital discharge follow-up. This review seeks to provide a concise summary of recent medical literature concerning long-term outcomes following critical illness and highlight potential approaches for preventing and addressing health decline in critical care survivors.

RESUMO Parcela significativa de indivíduos que enfrentaram doença crítica sofre de síndrome pós-cuidados intensivos, caracterizada por comprometimento novo ou exacerbado da função física, cognitiva ou de saúde mental. Além disso, os sobreviventes geralmente apresentam maior risco de consequências adversas, como infecção, eventos cardiovasculares maiores, reinternação e taxas de mortalidade elevadas, durante os meses após a hospitalização. Esses achados reforçam a necessidade urgente de prevenção e manejo eficazes da deterioração da saúde a longo prazo no ambiente de cuidados intensivos. Embora haja poucas evidências conclusivas de ensaios clínicos randomizados bem desenhados, potenciais intervenções incluem estratégias como limitação da sedação, mobilização precoce, presença da família durante a internação na unidade de terapia intensiva, implementação de programas de transição multidisciplinares (da unidade de terapia intensiva para a enfermaria e do hospital para o domicílio) e acompanhamento especializado após a alta hospitalar. Esta revisão objetiva fornecer um resumo conciso da literatura médica recente sobre os desfechos a longo prazo após doenças críticas e destacar potenciais abordagens para prevenir e abordar a deterioração da saúde de sobreviventes de cuidados intensivos.

Bacterial coinfections in COVID-19-hospitalized patients

SUMMARY OBJECTIVE: The aim of this study was to assess the rate of bacterial infections in COVID-19-hospitalized patients and to analyze the most prevalent germs, sources, risk factors, and its impact on in-hospital mortality. METHODS: This observational retrospective study was conducted on 672 patients hospitalized between April and August 2020 in Nossa Senhora da Conceição Hospital, a public hospital located in Porto Alegre, Brazil. The inclusion criterion was adult patients hospitalized with confirmed COVID-19. Data were collected through chart review. Risk factors for bacterial infection and mortality were analyzed using both univariate and multivariate robust Poisson regression models. RESULTS: Bacterial coinfection was observed in 22.2% of patients. Risk factors for bacterial infections were dementia (RR=2.06 (1.18-3.60); p=0.011), cerebrovascular disease (RR=1.75 (1.15-2.67); p=0.009), active cancer (RR=1.52 (1.082-2.15); p=0.01), need for noninvasive ventilation (RR=2.320 (1.740-3.094); p<0.01), invasive mechanical ventilation (RR=4.63 (2.24-9.56); p<0.01), and renal replacement therapy (RR=1.68 (1.26-2.25); p<0.01). In the adjusted model, bacterial infections were not associated with mortality (0.96 (0.75-1.24); p=0.79). The most common source of infection was due to respiratory, blood, and central venous catheters, with 69 (29.36%), 61 (25.96%), and 59 (25.11%) positive cultures, respectively. CONCLUSION: We observed a high rate of bacterial infections in COVID-19-hospitalized patients, most commonly of respiratory source. Neurologic and oncologic morbidities and need for ventilation and renal replacement therapy was associated with risk factors for bacterial infections. Nevertheless, an association between bacterial infections and hospital mortality was not established.

Evidence-Based Checklist to Delay Cardiac Arrest in Brain-Dead Potential Organ Donors: The DONORS Cluster Randomized Clinical Trial.

Importance: The effectiveness of goal-directed care to reduce loss of brain-dead potential donors to cardiac arrest is unclear. Objective: To evaluate the effectiveness of an evidence-based, goal-directed checklist in the clinical management of brain-dead potential donors in the intensive care unit (ICU). Design, Setting, and Participants: The Donation Network to Optimize Organ Recovery Study (DONORS) was an open-label, parallel-group cluster randomized clinical trial in Brazil. Enrollment and follow-up were conducted from June 20, 2017, to November 30, 2019. Hospital ICUs that reported 10 or more brain deaths in the previous 2 years were included. Consecutive brain-dead potential donors in the ICU aged 14 to 90 years with a condition consistent with brain death after the first clinical examination were enrolled. Participants were randomized to either the intervention group or the control group. The intention-to-treat data analysis was conducted from June 15 to August 30, 2020. Interventions: Hospital staff in the intervention group were instructed to administer to brain-dead potential donors in the intervention group an evidence-based checklist with 13 clinical goals and 14 corresponding actions to guide care, every 6 hours, from study enrollment to organ retrieval. The control group provided or received usual care. Main Outcomes and Measures: The primary outcome was loss of brain-dead potential donors to cardiac arrest at the individual level. A prespecified sensitivity analysis assessed the effect of adherence to the checklist in the intervention group. Results: Among the 1771 brain-dead potential donors screened in 63 hospitals, 1535 were included. These patients included 673 males (59.2%) and had a median (IQR) age of 51 (36.3-62.0) years. The main cause of brain injury was stroke (877 [57.1%]), followed by trauma (485 [31.6%]). Of the 63 hospitals, 31 (49.2%) were assigned to the intervention group (743 [48.4%] brain-dead potential donors) and 32 (50.8%) to the control group (792 [51.6%] brain-dead potential donors). Seventy potential donors (9.4%) at intervention hospitals and 117 (14.8%) at control hospitals met the primary outcome (risk ratio [RR], 0.70; 95% CI, 0.46-1.08; P = .11). The primary outcome rate was lower in those with adherence higher than 79.0% than in the control group (5.3% vs 14.8%; RR, 0.41; 95% CI, 0.22-0.78; P = .006). Conclusions and Relevance: This cluster randomized clinical trial was inconclusive in determining whether the overall use of an evidence-based, goal-directed checklist reduced brain-dead potential donor loss to cardiac arrest. The findings suggest that use of such a checklist has limited effectiveness without adherence to the actions recommended in this checklist. Trial Registration: ClinicalTrials.gov Identifier: NCT03179020.

Internal medicine consultation for high-risk surgical patients: reflection on hospital mortality and readmission rates in a low-income country.

OBJECTIVE: The objective of this study was to assess the impact of internal medicine consultation on mortality, 30-day readmission, and length of stay in surgical patients. METHODS: This is a retrospective descriptive study developed in a public Brazilian teaching hospital with 850 beds. RESULTS: A total of 70,245 patients were admitted from 2010 to 2018 to the surgery departments. The main outcomes measured were patients' mortality, 30-day readmission, and length of stay. Mortality of high-risk patients was lower when followed by internal medicine consultation: patients with ASA≥3 (RR 0.89 [95% confidence interval (95%CI) 0.80-0.99], p=0.02), patients with ASA≥3 plus≥65 years (RR 0.88 [95%CI 0.78-0.99], p=0.04), patients with ASA≥3 plus high-risk surgery (RR 0.86 [95%CI 0.77-0.97], p=0.01), and patients with ASA≥4 plus age ≥65 years (RR 0.83 [95%CI 0.72-0.96], p=0.01). The 30-day readmission of high-risk patients was lower when followed by internal medicine consultation: patients with ≥65 years (RR 0.57 [95%CI 0.37-0.89], p=0.01) and patients with high-risk surgery (RR 0.63 [95%CI 0.46-0.57], p=0.005). The Poisson multivariate regression with adjustment in variances showed that all the variables (namely, age, ASA, morbidity index, surgery risk, and internal medicine consultation) were associated with higher mortality of patients; however, internal medicine consultation was associated with a reduction of mortality in high-risk patients (RR 0.72 [95%CI 0.65-0.84], p=0.02) and an increase of mortality in low-risk patients (RR 1.55 [95%CI 1.31-1.67], p=0.01). CONCLUSION: High-risk surgical patients may benefit from perioperative internal medicine consultations, which probably decrease hospital mortality and 30-day hospital readmission.

Predictors of early and long-term mortality after ICU discharge in critically ill COVID-19 patients: A prospective cohort study.

BACKGROUND: To mitigate mortality among critically ill COVID-19 patients, both during their Intensive Care Unit (ICU) stay and following ICU discharge, it is crucial to measure its frequency, identify predictors and to establish an appropriate post-ICU follow-up strategy. METHODS: In this multicentre, prospective cohort study, we included 586 critically ill COVID-19 patients. RESULTS: We observed an overall ICU mortality of 20.1% [95%CI: 17.1% to 23.6%] (118/586) and an overall hospital mortality of 25.4% [95%CI: 22.1% to 29.1%] (149/586). For ICU survivors, 30 days (early) post-ICU mortality was 5.3% [95%CI: 3.6% to 7.8%] (25/468) and one-year (late) post-ICU mortality was 7.9% [95%CI: 5.8% to 10.8%] (37/468). Pre-existing conditions/comorbidities were identified as the main independent predictors of mortality after ICU discharge: hypertension and heart failure were independent predictors of early mortality; and hypertension, chronic kidney disease, chronic obstructive pulmonary disease and cancer were independent predictors of late mortality. CONCLUSION: Early and late post-ICU mortality exhibited an initial surge (in the first 30 days post-ICU) followed by a subsequent decline over time. Close monitoring of critically ill COVID-19 post-ICU survivors, especially those with pre-existing conditions, is crucial to prevent adverse outcomes, reduce mortality and to establish an appropriate follow-up strategy.

Predictive factors of functional limitation after cardiac surgery: a retrospective cohort study.

BACKGROUND: Functional limitation is relatively common and can negatively influence the postoperative outcome of patients after cardiac surgery. OBJECTIVE: To identify the predictive factors of functional limitation in patients undergoing elective cardiac surgery. METHODS: Retrospective cohort study was performed to evaluate patients undergoing elective cardiac surgery. All patients underwent a cardiovascular rehabilitation protocol. Functional limitation was defined based on performance in the rehabilitation protocol following cardiac surgery. Poor performance in the cardiac surgery rehabilitation protocol defined functional limitation, whereas good performance indicated no limitation. RESULTS: Data were collected from 548 patients; of these, 190 (34.7%) had functional limitation. In multivariate analysis, the factors associated with postoperative functional limitation were as follows: hospitalization by the public healthcare system [OR: 2.14; 95% confidence interval (CI): 1.73, 2.65]; age (OR 1.23; 95% CI: 1.15, 1.31); length of hospitalization in the intensive care unit (OR 1.03; 95% CI: 1.01, 1.05); history of previous acute myocardial infarction (OR 1.40; 95% CI: 1.13, 1.73); presence of previous comorbidities [chronic kidney disease (OR 1.56; 95% CI: 1.15, 2.10); cerebrovascular disease (OR 1.57; 95% CI: 1.19, 2.07)]; presence of expiratory muscle weakness (OR 1.54; 95% CI: 1.08, 2.20); and intercurrence of cardiorespiratory arrest during hospitalization (OR 1.76; 95% CI: 1.40, 2.22). CONCLUSION: Functional limitation after cardiac surgery could be predicted by multiple pre and postoperative factors, except for preoperative functionality, which does not suggest to be an independent factor for functional limitation after surgery.

Does an educational website improve psychological outcomes and satisfaction among family members of intensive care unit patients?

OBJECTIVE: To evaluate the impact of an educational website on satisfaction and symptoms of anxiety and depression among family members of critically ill adult patients. METHODS: We embedded an analysis of website access in a cohort study conducted in intensive care units with flexible visiting hours in Brazil. Family members were guided to access an educational website designed to help them understand the processes and emotions associated with an intensive care unit stay. Subjects were evaluated for baseline data within the first 48 hours following enrollment and outcome assessment at up to 7 days after patient discharge from the intensive care unit, death, or until the 30th day of the study. The main outcomes were satisfaction using the Critical Care Family Needs Inventory and the presence of anxiety and depression symptoms using the Hospital Anxiety and Depression Scale. RESULTS: A total of 532 family members were evaluated during the study period. Of these, 61 (11.5%) accessed the website. After adjustments, family members who accessed the website had significantly better mean Critical Care Family Needs Inventory scores (152.8 versus 145.2, p = 0.01) and a lower prevalence of probable clinical anxiety (prevalence ratio 0.35; 95%CI 0.14 - 0.89) than family members who did not access the website. There were no differences regarding symptoms of depression. CONCLUSION: Access to an educational website was associated with higher family satisfaction with care and a lower prevalence of clinical anxiety.