From the Intensive Care Unit to Recovery: Managing Post-intensive Care Syndrome in Critically Ill Patients.

Post-intensive care syndrome (PICS) is the term used to describe the decline in the physical, cognitive, and/or mental condition of individuals who have been discharged from the intensive care unit (ICU). This complication could result in a significant reduction in quality of life, with some patients experiencing symptoms of prolonged weakness, depression, anxiety, and post-traumatic stress disorder (PTSD). Intensive care advancement over the years has resulted in an increase in ICU survival rates and a proportional increase in PICS, creating a need for more in-depth research into the prevention and management of the disease. Hence, this study aims to examine the present body of literature on PICS, encompassing its underlying physiological processes and elements that contribute to its development, methods for evaluating and diagnosing the condition, current treatment choices as well as potential new approaches, and the constraints in managing PICS and the necessity for further investigation. In this article, studies were compiled from several databases, including, but not limited to, Google Scholar, PubMed, and Cochrane Library. These studies were reviewed, and their data were used to highlight important aspects regarding the efficacy of current PICS screening tools, the optimization and limitations of both pharmacologic and non-pharmacologic treatment methods, and the feasibility and safety of emerging treatments and technologies. The major conclusions of this review were centered around the need for multidisciplinary management of PICS. From pharmacological management using analgesia to non-pharmacological management using early mobilization and exercise therapy, the effective treatment of PICS requires a multifaceted approach. Patient follow-up and its importance were touched upon, including strategies and policies to bolster proper follow-up, thereby increasing favorable outcomes. Lastly, the importance of family involvement and the increased need for research into this topic were highlighted.

Ultrasound assessment of diaphragmatic dysfunction in non-critically ill patients: relevant indicators and update.

Diaphragm dysfunction (DD) can be classified as mild, resulting in diaphragmatic weakness, or severe, resulting in diaphragmatic paralysis. Various factors such as prolonged mechanical ventilation, surgical trauma, and inflammation can cause diaphragmatic injury, leading to negative outcomes for patients, including extended bed rest and increased risk of pulmonary complications. Therefore, it is crucial to protect and monitor diaphragmatic function. Impaired diaphragmatic function directly impacts ventilation, as the diaphragm is the primary muscle involved in inhalation. Even unilateral DD can cause ventilation abnormalities, which in turn lead to impaired gas exchange, this makes weaning from mechanical ventilation challenging and contributes to a higher incidence of ventilator-induced diaphragm dysfunction and prolonged ICU stays. However, there is insufficient research on DD in non-ICU patients, and DD can occur in all phases of the perioperative period. Furthermore, the current literature lacks standardized ultrasound indicators and diagnostic criteria for assessing diaphragmatic dysfunction. As a result, the full potential of diaphragmatic ultrasound parameters in quickly and accurately assessing diaphragmatic function and guiding diagnostic and therapeutic decisions has not been realized.

Calibration trial of an innovative medical device (NEVVA© ) for the evaluation of pain in non-communicating patients in the intensive care unit.

Background: Pain management is an essential and complex issue for non-communicative patients undergoing sedation in the intensive care unit (ICU). The Behavioral Pain Scale (BPS), although not perfect for assessing behavioral pain, is the gold standard based partly on clinical facial expression. NEVVA© , an automatic pain assessment tool based on facial expressions in critically ill patients, is a much-needed innovative medical device. Methods: In this prospective pilot study, we recorded the facial expressions of critically ill patients in the medical ICU of Caen University Hospital using the iPhone and Smart Motion Tracking System (SMTS) software with the Facial Action Coding System (FACS) to measure human facial expressions metrically during sedation weaning. Analyses were recorded continuously, and BPS scores were collected hourly over two 8 h periods per day for 3 consecutive days. For this first stage, calibration of the innovative NEVVA© medical device algorithm was obtained by comparison with the reference pain scale (BPS). Results: Thirty participants were enrolled between March and July 2022. To assess the acute severity of illness, the Sequential Organ Failure Assessment (SOFA) and the Simplified Acute Physiology Score (SAPS II) were recorded on ICU admission and were 9 and 47, respectively. All participants had deep sedation, assessed by a Richmond Agitation and Sedation scale (RASS) score of less than or equal to -4 at the time of inclusion. One thousand and six BPS recordings were obtained, and 130 recordings were retained for final calibration: 108 BPS recordings corresponding to the absence of pain and 22 BPS recordings corresponding to the presence of pain. Due to the small size of the dataset, a leave-one-subject-out cross-validation (LOSO-CV) strategy was performed, and the training results obtained the receiver operating characteristic (ROC) curve with an area under the curve (AUC) of 0.792. This model has a sensitivity of 81.8% and a specificity of 72.2%. Conclusion: This pilot study calibrated the NEVVA© medical device and showed the feasibility of continuous facial expression analysis for pain monitoring in ICU patients. The next step will be to correlate this device with the BPS scale.

Does two-step infusion improve the pharmacokinetics/pharmacodynamics target attainment of meropenem in critically ill patients?

The optimal method for administering meropenem remains controversial. This study was conducted to explore the optimal two-step infusion strategy (TIT), and to investigate whether TIT is superior to intermittent infusion therapy (IIT) and prolonged infusion therapy (PIT). A physiologically based pharmacokinetics model for critically ill patients was established and evaluated. The validated model was utilized to evaluate the pharmacokinetics/pharmacodynamics (PK/PD) target attainment of meropenem. The PK/PD target attainment of different TITs varied greatly, and the total infusion duration and the first-step dose greatly affected these values. The optimal TIT was 0.25 g (30 min) + 0.75 g (150 min) at MICs of ≤2 mg/L, and 0.25 g (45 min) + 0.75 g (255 min) at MICs of 4-8 mg/L. The PK/PD target attainment of optimal TIT, PIT, and IIT were 100% at MICs of ≤1 mg/L. When MIC increased to 2-8 mg/L, the PK/PD target attainment of optimal TIT was similar to that of PIT and higher than IIT. In conclusion, TIT did not significantly improve the PK/PD target attainment of meropenem compared with PIT. IIT is adequate at MICs of ≤1 mg/L, and PIT may be the optimal meropenem infusion method in critically ill patients with MICs of 2-8 mg/L.

Implications of opioid-sparing medications in critically ill patients: A scoping review.

OBJECTIVE: The purpose of this scoping review was to evaluate literature involving opioid-sparing medications in critically ill patients with a focus on clinically meaningful outcomes. DESIGN: Scoping review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. SETTING: Intensive care unit. PATIENTS OR PARTICIPANTS: Adult patients in an intensive care unit setting. INTERVENTIONS: None. MAIN VARIABLES OF INTEREST: PubMed and Cochrane Library were searched from October 1, 2019 to June 1, 2023. Inclusion criteria consisted of randomized controlled trials evaluating adjunctive analgesic use in adult patients in an intensive care unit setting. RESULTS: There were 343 citations and titles identified in the initial search, with 328 remaining after removal of duplicates, 294 excluded at title and abstract screening, 34 available for full text review, and six included in the scoping review. Most studies reported modest reductions in opioid use as a secondary endpoint. Improvement in clinical outcomes such as reduction in duration of mechanical ventilation or delirium were reported in two trials with dexmedetomidine. CONCLUSIONS: In recently published trials of adjunctive agents in critically ill patients, opioid-sparing effects were small. Data to support improvements in clinical outcomes remains limited.

Physico-chemical characterization of acid base disorders in patients with COVID-19: A cohort study.

BACKGROUND: Acid-base imbalance has been poorly described in patients with coronavirus disease 2019 (COVID-19). Study by the quantitative acid-base approach may be able to account for minor changes in ion distribution that may have been overlooked using traditional acid-base analysis techniques. In a cohort of critically ill COVID-19 patients, we looked for an association between metabolic acidosis surrogates and worse clinical outcomes, such as mortality, renal dialysis, and length of hospital stay. AIM: To describe the acid-base disorders of critically ill COVID-19 patients using Stewart's approach, associating its variables with poor outcomes. METHODS: This study pertained to a retrospective cohort comprised of adult patients who experienced an intensive care unit stay exceeding 4 days and who were diagnosed with severe acute respiratory syndrome coronavirus 2 infection through a positive polymerase chain reaction analysis of a nasal swab and typical pulmonary involvement observed in chest computed tomography scan. Laboratory and clinical data were obtained from electronic records. Categorical variables were compared using Fisher's exact test. Continuous data were presented as median and interquartile range. The Mann-Whitney U test was used for comparisons. RESULTS: In total, 211 patients were analyzed. The mortality rate was 13.7%. Overall, 149 patients (70.6%) presented with alkalosis, 28 patients (13.3%) had acidosis, and the remaining 34 patients (16.2%) had a normal arterial pondus hydrogenii. Of those presenting with acidosis, most had a low apparent strong ion difference (SID) (20 patients, 9.5%). Within the group with alkalosis, 128 patients (61.0%) had respiratory origin. The non-survivors were older, had more comorbidities, and had higher Charlson's and simplified acute physiology score 3. We did not find severe acid-base imbalance in this population. The analyzed Stewart's variables (effective SID, apparent SID, and strong ion gap and the effect of albumin, lactate, phosphorus, and chloride) were not different between the groups. CONCLUSION: Alkalemia is prevalent in COVID-19 patients. Although we did not find an association between acid-base variables and mortality, the use of Stewart's methodology may provide insights into this severe disease.

Impact of an enteral nutrition protocol in critically ill patients with burn injuries.

OBJECTIVES: The objective of this study is to characterize the University of Florida (UF) Health Shands Burn Centers enteral nutrition protocol as it relates to total protein intake and clinical outcomes. METHODS: This retrospective chart review study included 99 adult patients admitted to the UF Health Shands Burn Center from January 2012 through August 2016 with burns of twenty percent or greater TBSA and required enteral nutrition supplementation. RESULTS: Patients received an average of 137.8 g or 2.03 g/kg protein daily. Fifteen percent of patients experienced graft loss. The median length of stay was 35 days. Seventy-six percent survived to hospital discharge. There was no significant association between total protein intake and incidence of severe diarrhea (P=0.132). CONCLUSION: The institutions protocol achieved high protein administration while still being consistent with recommendations from the American Society of Enteral and Parenteral Nutrition (ASPEN).

Multifocal Candidiasis can be considered a form of Invasive Candidiasis in critically non neutropenic patients.

INTRODUCTION: Candida infections can be serious in ICU patients, as Candida is an organism that specially colonizes the digestive system. In immunocompromised patients, treatment is protocolized but in non-neutropenic patients it is not well established. On the other hand, the treatment of this type of infection is not absent of adverse effects. DISSEMINATED VERSUS INVASIVE CANDIDIASIS: The prevalence of fungal infections, especially Candidiasis and its mortality in the ICU is high, mainly due to the lack of diagnosis and absence of treatment criteria, because they are often detected in the Disseminated Candidiasis phase, such as candidemia. One of the indicators of the progression of the disease is the presence of Candida in more than two different foci, named Candida Multifocality, within the concept of Invasive Candidiasis. In fact, Fundicu Project was created to optimize the management of Candidiasis. APPROACH TO THE CLINICAL MANAGEMENT OF CANDIDIASIS: The management of Candidiasis in ICU patients first requires the identification of patients at high risk of Candidiasis, which must be performed based on the evidence of immune dysregulation, higher severity index (APACHE, MODS), long ICU stays or other factors such as mechanical ventilation or use of broad-spectrum antibiotics. In order to increase detection and dispense the appropriate anti-fungal at an early stage, it is necessary to include the concept of Multifocality in Invasive Candidiasis with screening of different foci. Anti-fungal treatment reduces mortality both overall and attributable to Candida. CONCLUSIONS: Detecting a high Invasive Candidiasis risk is a patient safety concept and should be treated as such. Identifying patients (critically non-neutropenic adult patients with severe MODS and the first isolation of Candida species in a study sample of possible secondary infection) and demonstrating Invasive Candidiasis (Multifocal or Disseminated) require urgent initiation of anti-fungal treatment to minimize mortality attributable to Invasive Candidiasis in ICU and eliminate mortality rates above 50%.

A novel real-time model for predicting acute kidney injury in critically ill patients within 12 hours.

BACKGROUND: A major challenge in prevention and early treatment of acute kidney injury (AKI) is the lack of high-performance predictors in critically ill patients. Therefore, we innovatively constructed U-AKIpredTM for predicting AKI in critically ill patients within 12 h of panel measurement. METHODS: The prospective cohort study included 680 patients in the training set and 249 patients in the validation set. After performing inclusion and exclusion criteria, 417 patients were enrolled in the training set and 164 patients were enrolled in the validation set finally. AKI was diagnosed by Kidney Disease Improving Global Outcomes (KDIGO) criteria. RESULTS: Twelve urinary kidney injury biomarkers (mALB, IgG, TRF, α1MG, NAG, NGAL, KIM-1, L-FABP, TIMP2, IGFBP7, CAF22 and IL-18) exhibited good predictive performance for AKI within 12 h in critically ill patients. U-AKIpredTM, combined with three crucial biomarkers (α1MG, L-FABP and IGFBP7) by multivariate logistic regression analysis, exhibited better predictive performance for AKI in critically ill patients within 12 h than the other twelve kidney injury biomarkers. The area under the curve (AUC) of the U-AKIpredTM, as a predictor of AKI within 12 h, was 0.802 (95% CI: 0.771-0.833, P < 0.001) in the training set and 0.844 (95% CI: 0.792-0.896, P < 0.001) in validation cohort. A nomogram based on the results of the training and validation sets of U-AKIpredTM was developed which showed optimal predictive performance for AKI. The fitting effect and prediction accuracy of U-AKIpredTM was evaluated by multiple statistical indicators. To provide a more flexible predictive tool, the dynamic nomogram (https://www.xsmartanalysis.com/model/U-AKIpredTM) was constructed using a web-calculator. Decision curve analysis (DCA) and a clinical impact curve were used to reveal that U-AKIpredTM with the three crucial biomarkers had a higher net benefit than these twelve kidney injury biomarkers respectively. The net reclassification index (NRI) and integrated discrimination index (IDI) were used to improve the significant risk reclassification of AKI compared with the 12 kidney injury biomarkers. The predictive efficiency of U-AKIpredTM was better than the NephroCheck® when testing for AKI and severe AKI. CONCLUSION: U-AKIpredTM is an excellent predictive model of AKI in critically ill patients within 12 h and would assist clinicians in identifying those at high risk of AKI.

Can central venous pressure help identify acute right ventricular dysfunction in mechanically ventilated critically ill patients?

OBJECTIVE: To investigate the relationship between central venous pressure (CVP) and acute right ventricular (RV) dysfunction in critically ill patients on mechanical ventilation. METHODS: This retrospective study enrolled mechanically ventilated critically ill who underwent transthoracic echocardiographic examination and CVP monitoring. Echocardiographic indices including tricuspid annular plane systolic excursion (TAPSE), fractional area change (FAC), and tricuspid lateral annular systolic velocity wave (S') were collected to assess RV function. Patients were then classified into three groups based on their RV function and presence of systemic venous congestion as assessed by inferior vena cava diameter (IVCD) and hepatic vein (HV) Doppler: normal RV function (TAPSE ≥ 17 mm, FAC ≥ 35% and S' ≥9.5 cm/sec), isolated RV dysfunction (TAPSE < 17 mm or FAC < 35% or S' <9.5 cm/sec with IVCD ≤ 20 mm or HV S ≥ D), and RV dysfunction with congestion (TAPSE < 17 mm or FAC < 35% or S' <9.5 cm/sec with IVCD > 20 mm and HV S < D). RESULTS: A total of 518 patients were enrolled in the study, of whom 301 were categorized in normal RV function group, 164 in isolated RV dysfunction group and 53 in RV dysfunction with congestion group. Receiver operating characteristic analysis revealed a good discriminative ability of CVP for identifying patients with RV dysfunction and congestion(AUC 0.839; 95% CI: 0.795-0.883; p < 0.001). The optimal CVP cutoff was 10 mm Hg, with sensitivity of 79.2%, specificity of 69.4%, negative predictive value of 96.7%, and positive predictive value of 22.8%. A large gray zone existed between 9 mm Hg and 12 mm Hg, encompassing 95 patients (18.3%). For identifying all patients with RV dysfunction, CVP demonstrated a lower discriminative ability (AUC 0.616; 95% CI: 0.567-0.665; p < 0.001). Additionally, the gray zone was even larger, ranging from 5 mm Hg to 12 mm Hg, and included 349 patients (67.4%). CONCLUSIONS: CVP may be a helpful indicator of acute RV dysfunction patients with systemic venous congestion in mechanically ventilated critically ill, but its accuracy is limited. A CVP less than10 mm Hg can almost rule out RV dysfunction with congestion. In contrast, CVP should not be used to identify general RV dysfunction.

Association of frailty and sarcopenia with short-term mortality in older critically ill patients.

BACKGROUND: There is still no study on the use of the SARC-CalF questionnaire for older critically ill patients. Moreover, there is limited evidence on whether a combination of sarcopenia and frailty can provide incremental improvements in risk stratification for older critically ill patients. METHODS: A total of 653 patients older than 60 years were recruited. We used the clinical frailty scale (CFS) and SARC-CalF questionnaire to assess the frailty status and sarcopenia risk, respectively, of older patients shortly after admission to the ICU. The effect of frailty and sarcopenia risk on ICU mortality and 30-day mortality was evaluated. RESULTS: A total of 147 (22.5%) patients died in the ICU, and 187 (28.6%) patients died within 30 days after ICU admission. The CFS score was associated with increased ICU mortality [per 1-score increase: odds ratio (OR) = 1.222, 95% confidential interval (CI): 1.003-1.489] and 30-day mortality (per 1-score increase: OR = 1.307, 95% CI: 1.079-1.583). The SARC-CalF score was also associated with increased ICU mortality (per 1-score increase: OR = 1.204, 95% CI: 1.120-1.294) and 30-day mortality (per 1-score increase: OR = 1.247, 95% CI: 1.163-1.337). The addition of the CFS + SARC-CalF score to Acute Physiology and Chronic Health Evaluation (APACHE) II improved discrimination and reclassified ICU and 30-day mortality risk. CONCLUSIONS: Sarcopenia risk assessed by the SARC-CalF questionnaire provided independent prognostic information for older critically ill patients. A combination of sarcopenia and frailty improved the prediction of mortality for older critically ill patients and thus might be useful in the clinical decision-making process.

Refeeding hypophosphatemia is a common cause of delirium in critically ill patients: a retrospective study.

BACKGROUND: The purpose was to explore the correlation between refeeding hypophosphatemia and delirium and analyze the related factors in critically ill patients. METHODS: We conducted a retrospective review of critically ill patients admitted to Nanjing Drum Tower Hospital between September 2019 and March 2021. The patients were divided into delirium and nondelirium groups. Demographic data, underlying diseases, laboratory findings, comorbidities, nutritional intake and overall prognosis were collected and analyzed. RESULTS: In total, 162 patients were included and divided into delirium (n=54) and nondelirium (n=108) groups. Serum phosphorus levels in the two groups decreased significantly in the first three days (P1, P2, P3) after nutrient intake compared with baseline before nutrient intake (Ppre). P1 and P2 were significantly lower in the delirium group compared to the nondelirium group. The maximum blood phosphorus reduction (Pmax) in the first three days after nutrient intake was significantly higher in the delirium group than in the nondelirium group. The time of Pmax in the delirium group was on the first day after nutrient intake. Multivariable logistic regression analysis identified starting route of nutrition and P1< 0.845 mmol/L as the independent predictors of delirium development in critically ill patients. CONCLUSION: The incidence of delirium in critically ill patients is high and associated with refeeding hypophosphatemia. Delirium may occur with serum phosphorus levels less than 0.845 mmol/L on the first day.

Development and validation of a prediction model for mortality in critically ill COVID-19 patients.

Background: Early prediction of prognosis may help early treatment measures to reduce mortality in critically ill coronavirus disease (COVID-19) patients. The study aimed to develop a mortality prediction model for critically ill COVID-19 patients. Methods: This retrospective study analyzed the clinical data of critically ill COVID-19 patients in an intensive care unit between April and June 2022. Propensity matching scores were used to reduce the effect of confounding factors. A predictive model was built using logistic regression analysis and visualized using a nomogram. Calibration and receiver operating characteristic (ROC) curves were used to estimate the accuracy and predictive value of the model. Decision curve analysis (DCA) was used to examine the value of the model for clinical interventions. Results: In total, 137 critically ill COVID-19 patients were enrolled; 84 survived, and 53 died. Univariate and multivariate logistic regression analyses revealed that aspartate aminotransferase (AST), creatinine, and myoglobin levels were independent prognostic factors. We constructed logistic regression prediction models using the seven least absolute shrinkage and selection operator regression-selected variables (hematocrit, red blood cell distribution width-standard deviation, procalcitonin, AST, creatinine, potassium, and myoglobin; Model 1) and three independent factor variables (Model 2). The calibration curves suggested that the actual predictions of the two models were similar to the ideal predictions. The ROC curve indicated that both models had good predictive power, and Model 1 had better predictive power than Model 2. The DCA results suggested that the model intervention was beneficial to patients and patients benefited more from Model 1 than from Model 2. Conclusion: The predictive model constructed using characteristic variables screened using LASSO regression can accurately predict the prognosis of critically ill COVID-19 patients. This model can assist clinicians in implementing early interventions. External validation by prospective large-sample studies is required.

Respiratory Therapist-Driven Mechanical Ventilation Protocol Is Associated With Increased Lung Protective Ventilation.

BACKGROUND: Mechanical ventilation is a common life-saving procedure but can lead to serious complications, including ARDS and oxygen toxicity. Nonadherence to lung-protective ventilation guidelines is common. We hypothesized that a respiratory therapist-driven mechanical ventilation bundle could increase adherence to lung-protective ventilation and decrease the incidence of pulmonary complications in the ICU. METHODS: A respiratory therapist-driven protocol was implemented on August 1, 2018, in all adult ICUs of a Midwestern academic tertiary center. The protocol targeted low tidal volume, adequate PEEP, limiting oxygen, adequate breathing frequency, and head of the bed elevation. Adherence to lung-protective guidelines and clinical outcomes were retrospectively observed in adult subjects admitted to the ICU and on ventilation for ≥ 24 h between January 2011 and December 2019. RESULTS: We included 666 subjects; 68.5% were in the pre-intervention group and 31.5% were in the post-intervention group. After adjusting for body mass index and intubation indication, a significant increase in overall adherence to lung-protective ventilation guidelines was observed in the post-intervention period (adjusted odds ratio 2.48, 95% CI 1.73-3.56). Fewer subjects were diagnosed with ARDS in the post-intervention group (adjusted odds ratio 0.22, 95% CI 0.08-0.65) than in the pre-intervention group. There was no difference in the incidence of ventilator-associated pneumonia, ventilator-free days, ICU mortality, or death within 1 month of ICU discharge. CONCLUSIONS: A respiratory therapist-driven protocol increased adherence to lung-protective mechanical ventilation guidelines in the ICU and was associated with decreased ARDS incidence.

Tocilizumab and CytoSorb for delayed severe cytokine release syndrome after ipilimumab plus nivolumab immunotherapy.

Cytokine release syndrome (CRS) is immune dysregulation phenomenon that is associated with immune checkpoint inhibitors. It is still difficult to distinguish CRS from other dangerous, acute and life-threatening medical disorders.We present a case of delayed grade 4 CRS following treatment of lung adenocarcinoma with ipilimumab plus nivolumab that warranted intensive care level treatment with abundant fluid resuscitation, two-tire vasopressor support, high-flow nasal oxygenation, corticosteroids in high dosages, as well as sustained low-efficiency daily diafiltration with CytoSorb hemadsorption and tocilizumab. Initial treatment of presumed septic shock of unknown origin did not yield results.After initiation of corticosteroids and particularly CytoSorb hemadsorption and tocilizumab, prompt clinical and laboratory improvement was observed.

This case report describes a 62-year-old woman who experienced a life-threatening immune system reaction, 2 weeks after receiving immunotherapy for lung cancer. This reaction, called cytokine release syndrome (CRS), caused her organs to malfunction. The patient was treated with high-dose steroids, a blood purification technique (SLEDD with CytoSorb), and the medication tocilizumab. Her condition stabilized after initiation of SLEDD with CytoSorb and dramatically improved after receiving tocilizumab. This case highlights the importance of considering CRS in patients who experience severe illness after receiving immunotherapy.

Liberation from Mechanical Ventilation in Critically Ill Patients: Korean Society of Critical Care Medicine Clinical Practice Guidelines.

BACKGROUND: Successful liberation from mechanical ventilation is one of the most crucial processes in critical care because it is the first step by which a respiratory failure patient begins to transition out of the intensive care unit and return to their own life. Therefore, when devising appropriate strategies for removing mechanical ventilation, it is essential to consider not only the individual experiences of healthcare professionals, but also scientific and systematic approaches. Recently, numerous studies have investigated methods and tools for identifying when mechanically ventilated patients are ready to breathe on their own. The Korean Society of Critical Care Medicine therefore provides these recommendations to clinicians about liberation from the ventilator. METHOD: Meta-analyses and comprehensive syntheses were used to thoroughly review, compile, and summarize the complete body of relevant evidence. All studies were meticulously assessed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) method, and the outcomes were presented succinctly as evidence profiles. Those evidence syntheses were discussed by a multidisciplinary committee of experts in mechanical ventilation, who then developed and approved recommendations. RESULT: Recommendations for nine population, intervention, comparator, outcome (PICO) questions about ventilator liberation are presented in this document. This guideline includes seven conditional recommendations, one expert consensus recommendation, and one conditional deferred recommendation. CONCLUSIONS: We developed these clinical guidelines for mechanical ventilation liberation to provide meaningful recommendations. These guidelines reflect the best treatment for patients seeking liberation from mechanical ventilation.

Rapid genome sequencing for critically ill infants: an inaugural pilot study from Turkey.

Introduction: Rare and ultra-rare genetic conditions significantly contribute to infant morbidity and mortality, often presenting with atypical features and genetic heterogeneity that complicate management. Rapid genome sequencing (RGS) offers a timely and cost-effective approach to diagnosis, aiding in early clinical management and reducing unnecessary interventions. This pilot study represents the inaugural use of next-generation sequencing (NGS) as a diagnostic instrument for critically ill neonatal and pediatric ICU patients in a Turkish hospital setting. Methods: Ten infants were enrolled based on predefined inclusion criteria, and trio RGS was performed. The mean age of the participants was 124 days, with congenital abnormalities being the most common indication for testing. Three patients had consanguineous parents. The mean turnaround time from enrollment to delivery of results was 169 h, with a diagnostic yield of 50%. Results: Three patients received a definitive molecular diagnosis, impacting their clinical management. Two patients benefited from the exclusion of Mendelian conditions, leading to alternative diagnoses. Discussion: This study demonstrates the feasibility and results of RGS in Turkish hospital settings, emphasizing the importance of timely genetic diagnosis in reducing the diagnostic odyssey for families and improving patient care. Further research is needed to evaluate the cost-effectiveness and applicability of RGS in the Turkish healthcare system for children with diseases of uncertain etiology.

Nurses' perceptions of patient pain, delirium, and sedation assessments in the intensive care unit: A qualitative study.

BACKGROUND: Pain, delirium, and sedation should be assessed routinely using validated assessment scales. Inappropriately managed pain, delirium, and sedation in critically ill patients can have serious consequences regarding mortality, morbidity, and increased healthcare costs. Despite the benefits of a bundled approach to pain, delirium, and sedation assessments, few studies have explored nurses' perceptions of using validated scales for such assessments. Furthermore, no studies have examined nurses' perceptions of undertaking these assessments as a bundled approach. OBJECTIVES: The objective of this study was to explore nurses' knowledge, perceptions, attitudes, and experiences regarding the use of validated pain, delirium, and sedation assessment tools as a bundled approach in the intensive care unit (ICU). METHODS: A qualitative exploratory descriptive design was adopted. We conducted four focus groups and 10 individual interviews with 23 nurses from a 26-bed adult ICU at an Australian metropolitan tertiary teaching hospital. Data were analysed using thematic analysis techniques. FINDINGS: Four themes were identified: (i) factors impacting nurses' ability to undertake pain, delirium, and sedation assessments in the ICU; (ii) use, misuse, and nonuse of tools and use of alternative strategies to assess pain, delirium, and sedation; (iii) implementing assessment tools; and (iv) consequences of suboptimal pain, delirium, and sedation assessments. A gap was found in nurses' use of validated scales to assess pain, delirium, and sedation as a bundled approach, and they were not familiar with using a bundled approach to assessment. CONCLUSION: The practice gap could be addressed using a carefully planned implementation strategy. Strategies could include a policy and protocol for assessing pain, delirium, and sedation in the ICU, engagement of change champions to facilitate uptake of the strategy, reminder and feedback systems, further in-service education, and ongoing workplace training for nurses.