Hours In Intensive Care Unit Research Articles

Interpretation of Viscoelastic Hemostatic Assays in Cardiac Surgery Patients: Importance of Clinical Context.

Rotational thromboelastometry (ROTEM) is widely used for point-of-care coagulation testing to reduce blood transfusions. Accurate interpretation of ROTEM data is crucial and requires substantial training. This study investigates the inter- and intrarater reliability of ROTEM interpretation among experts and compares their interpretations with a ROTEM-guided algorithm. This study was conducted at Amsterdam University Medical Center and included 90 cardiac surgery patients. ROTEM data were collected at 4 surgical stages: before induction, after aortic declamping, postcoagulation correction, and within 2 hours of intensive care unit (ICU) admission. An international panel of 7 cardiovascular anesthesiologists and one intensivist interpreted the data. Interrater reliability was assessed using Fleiss' kappa for binary decisions and the simple matching coefficient (SMC) for multiple-choice questions. Intrarater reliability with the ROTEM-guided algorithm was also evaluated. Three hundred forty-three ROTEM measurements were analyzed. The interrater reliability for binary decisions was substantial to almost perfect, except after declamping (Fleiss' kappa = 0.34). The SMC for determining type of abnormality and interventions ranged from good to excellent across all ROTEM measuring moments (SMC ≥0.75). Intrarater reliability was almost perfect for binary questions (intraclass correlation coefficient [ICC] ≥0.81) and showed excellent agreement for multiple-choice questions. Comparing expert recommendations with the algorithm resulted in an average SMC of 0.70 indicating differences in intervention recommendations, with experts frequently recommending fibrinogen and protamine over the algorithm's suggestions of plasma and PCC. This study demonstrates high inter- and intrarater reliability in ROTEM interpretation among trained professionals in cardiac surgery, with almost perfect agreement on abnormalities and interventions. However, differences between expert evaluations and the ROTEM-guided algorithm underscore the need for advanced clinical decision-making tools. Future efforts should focus on developing personalized, data-driven algorithms without predefined cutoff values to improve accuracy and patient outcomes.

Early high-sensitivity troponin elevation in predicting short-term mortality in sepsis: A protocol for a systematic review with meta-analysis.

Sepsis is a common admission diagnosis in the intensive care unit (ICU). The Sepsis-3 consensus associates sepsis diagnosis with acute organ dysfunction. In these patients troponin elevation is a well-established phenomenon, but its clinical significance is not settled, as no systematic review has addressed the prognostic significance of the increasingly prevalent high-sensitivity troponin assays in acute organ dysfunction setting. This study aims to clarify the association between early serum troponin levels in high-sensitivity assays with short-term mortality risk in septic patients with acute organ dysfunction. We will systematically search PubMed, Scopus and Embase for original articles; additionally, a manual search will be carried out through relevant literature. Generally, studies will be deemed eligible for inclusion if they evaluate the association between high-sensitivity troponin in the first 24 hours of admission and ICU, 30-days, or In-hospital mortality; in patients with septic shock or sepsis related to acute organ dysfunction. Two reviewers will independently select studies and extract the data. A meta-analysis for mortality outcome will be performed for comparative data regarding two effect measures: Odd ratios and Standardized Mean differences. This study will provide further evidence about the role of high-sensitivity troponin assays in predicting mortality in septic patients; potentially helping to guide further research and yielding valuable information for patient assessment. Conclusion about the certainty of evidence will be presented in a ´Summary of findings´ table. PROSPERO registration: (CRD42024468883).

Bedside ultrasound monitoring of optic nerve sheath diameter is a predictive factor for 28-day coma, delirium and death in etiologically diverse critically ill patients

To explore whether the optic nerve sheath diameter (ONSD) within 24 hours of intensive care unit (ICU) admission is the predictor of 28-day delirium or coma and death in etiologically diverse critically ill patients. A prospective, observational study was conducted. The critically ill patients admitted to the emergency ICU of Cangzhou Central Hospital from January 2021 to October 2022 were enrolled. Bedside ultrasound monitoring ONSD was performed within 24 hours of ICU admission. The consciousness status was assessed daily during ICU hospitalization. Coma was defined as Glasgow coma scale (GCS) score < 8 or Richmond agitation-sedation scale (RASS) score -4 or -5. Delirium was defined as responsiveness to verbal stimulation and with a positive confusion assessment method-intensive care unit (CAM-ICU). A positive result of CAM-ICU was defined as acute change or fluctuating course of mental status+inattention+altered level of consciousness or disorganized thinking. X-tile software analysis was used to visualize the best cut-off value for creating divisions in predicting 28-day coma or delirium and death, and then Kaplan-Meier curves were plotted. ONSD≥the optimal cut-off value from X-tile analysis was defined as ONSD broadening. ONSD broadening and related indicators were enrolled, and multivariate Cox regression analysis was used to analyze the risk factors of 28-day coma or delirium and 28-day death in etiologically diverse critically ill patients. A total of 321 critically ill patients were enrolled. Of them, 49 had primary brain injury, 54 had hypoxic ischemic brain injury (HIBI) after cardiac arrest, 70 had acute heart failure, 73 had sepsis, and 75 had other causes. Coma affected 184 patients (57.3%), and delirium affected 173 patients (53.9%). At 28 days of follow-up, 100 patients died, 16 patients remained comatose and 20 patients remained delirious. In all patients, as the GCS score decreased upon admission to the ICU, there was a gradually increasing trend in ONSD [GCS score 15 group: 5.20 (4.93, 5.43) mm, GCS score 10-14 group: 5.30 (4.90, 5.65) mm, GCS score 6-9 group: 5.40 (5.10, 5.80) mm, GCS score < 6 group: 5.70 (5.20, 5.96) mm, P < 0.05]. X-tile software analysis showed that in all patients and five etiological subgroups, ONSD broadening was a predictor for 28-day coma or delirium, and the optimal cut-off value was obtained (5.60 mm for all patients, 4.90 mm for primary brain injury, 5.75 mm for HIBI after cardiac arrest, 5.40 mm for acute heart failure, 5.90 mm for sepsis, and 5.75 mm for other causes). The Kaplan-Meier curves were plotted according to the optimal cut-off values, and the results showed that the higher the ONSD, the higher the incidence and duration of coma or delirium within 28 days in above patient population. X-tile software analysis showed that in all patients, and HIBI after cardiac arrest, sepsis and other causes patients, ONSD was a predictor for 28-day death, and the optimal cut-off value was obtained (6.20 mm for all patients, 5.85 mm for HIBI after cardiac arrest, 5.35 mm for sepsis, and 6.10 mm for other causes). The Kaplan-Meier curves were plotted according to the optimal cut-off values, and the results showed that the higher the ONSD, the higher the 28-day survival rate and the shorter survival duration in above patient population. Multivariate Cox regression analysis showed that ONSD broadening was an independent risk factor for 28-day coma or delirium in all patients [hazard ratio (HR) = 1.513, 95% confidence interval (95%CI) was 1.093-2.095, P = 0.013] and patients with primary brain injury (HR = 5.739, 95%CI was 2.112-15.590, P = 0.001). However, ONSD broadening was not independently associated with 28-day death in all patients or in the five etiological subgroups. ONSD within 24 hours of ICU admission is an independent risk factor for 28-day coma or delirium in etiologically diverse critically ill patients. It serves as a predictor for 28-day coma or delirium in 5 subgroups of etiology including primary brain injury, HIBI after cardiac arrest, acute heart failure, sepsis, and other causes, but not for 28-day death.

Healthcare Provider's Preferences on Open Versus Restricted Visiting Hours in Surgical Intensive Care Unit.

The increasing consideration of open visiting hours in intensive care units (ICUs) has presented implementation challenges. Recognizing the invaluable insights of healthcare providers, this study aimed to assess their perspectives on the potential impact of altering ICU visiting policies on patient care. In a single-institution, cross-sectional study, a five-point Likert survey was administered to healthcare providers working in a surgical ICU to assess their perceptions of open and restricted visiting hours. Descriptive statistics were used to analyze the responses. Ninety-three healthcare providers participated, including nurses (53%), resident physicians (23%), and other healthcare professionals. The majority (81%) did not believe that open ICU visiting hours would enhance patient-centered care. Providers expressed concerns that open visitation could lead to increased provider stress (89%), physical barriers to patient access (80%), disruption in workflow (90%), and provider burnout (76%). Conversely, they perceived that restricted visitation would preserve patient privacy (87%), promote better healing for patients (64%), reduce provider stress (81%), and improve workflow (95%). Nurses were more likely than resident physicians to perceive that open ICU hours would alleviate familial stress (p=0.022). Additionally, both nurses and other healthcare providers recognized the potential for open ICU hours to improve communication between patient families and healthcare teams (p<0.05). Notably, there were no significant differences among providers in perceptions of the impact of open versus restricted visitation on provider stress, workflow, or other factors (p>0.05). This survey reveals a negative perception of open ICU visiting hours among healthcare providers in a surgical ICU, with concerns that such a change could increase stress for both patients and providers. These findings underscore the potential challenges and negative impacts of implementing open visiting hours in this setting, emphasizing the need for careful consideration and further research to inform policy decisions and visitation practices.

Contemporary Outcomes and Trends for the Transseptal Mitral Valve-in-Valve Procedure Using Balloon Expandable Transcatheter Valves in the United States.

Previous transcatheter valve therapy registry analyses of transcatheter mitral valve in valve (MViV) replacement of degenerated bioprosthesis reported early experience in the United States. Given recent increases in transseptal MViV volumes and introduction of the SAPIEN 3 Ultra valve, it is important to determine contemporary outcomes for patients undergoing transseptal SAPIEN 3/SAPIEN 3 Ultra MViV replacement. The Society of Thoracic Surgeons (STS)/American College of Cardiology Transcatheter Valve Therapy Registry was used to extract data for all patients undergoing transseptal SAPIEN 3/SAPIEN 3 Ultra MViV from 2015 to September 2022. Primary efficacy outcome was 1-year all-cause mortality. Secondary end points included 30-day mortality, functional class, quality of life, and mitral valve performance. Primary safety outcomes were device success and in-hospital complications. A total of 4243 patients with a mean±SD STS score of 9.2±7.7 underwent transseptal MViV at 455 sites. The rate of Mitral Valve Academic Research Consortium technical (96.6%) success was high, and procedural complications were low. All-cause in-hospital, 30-day, and 1-year mortality rates were 3.2%, 4.3%, and 13.4%, respectively. Significant improvements in New York Heart Association class (New York Heart Association I/II, 18% to 87%) and quality of life (Kansas City Cardiomyopathy Questionnaire score, 38 to 78) were noted at 1 year (P<0.0001 for both) after MViV. Upon stratifying by STS scores, it was observed that the low-risk group (STS<4) had a significantly lower in-hospital mortality rate of 0.4%, whereas the intermediate-risk group (STS, 4-8) had an in-hospital mortality rate of 1.9%. From 2015 to 2022, the number of transseptal MViV cases/year increased significantly, whereas procedure times, length of stay, and intensive care unit hours shortened significantly. At the same time, there was a significant trend toward reduced in-hospital (P=0.0005), 30-day (P=0.004), and 1-year mortality rates (P=0.01). This multicenter, prospective study reports excellent procedural outcomes, acceptable 1-year mortality rates, and a significant improvement in quality of life for patients undergoing transseptal MViV in the contemporary era. Patients in the low-risk and intermediate-risk STS score categories had significantly better outcomes compared with those in the high-risk category. MViV is a reasonable therapy for the majority of patients with degenerated bioprosthetic mitral valves, who are anatomical candidates.

Utility of Clinical Variables for Deciding Palliative Care in Paraquat Poisoning: A Retrospective Study.

Patients with paraquat poisoning (PP) have a mortality rate comparable to that of advanced malignancies, yet palliative care is seldom considered in these patients. This audit aimed to identify triggers for early palliative care referral in critically ill patients with PP. Medical records of patients with PP were audited. Predictors of mortality within 48 hours of hospitalization and 24 hours of intensive care unit (ICU) admission were considered as triggers for palliative care referral. Among 108 patients, 84 complete records were analyzed, and 53 out of 84 (63.1%) expired. Within 48 hours after hospitalization, the lowest oxygen partial pressure in arterial blood to a fraction of inspired oxygen [the ratio of partial pressure of oxygen in arterial blood (PaO2) to the fraction of inspiratory oxygen concentration (FiO2) (PaO2/FiO2)] was the independent predictor of mortality, cut-off ≤ 197; the area under the curve (AUC), 0.924; sensitivity, 97%; specificity, 78%; p <0.001; and 95% confidence interval (CI): 0.878-0.978. Kaplan-Meier survival plot showed that the mean survival time of patients with the lowest PaO2/FiO2, ≤197, was 4.64 days vs 17.20 days with PaO2/FiO2 >197 (log-rank p < 0.001). Sequential organ failure assessment (SOFA) score within 24 hours of ICU admission had a cut-off ≥9; AUC, 0.980; p < 0.001; 95% CI: 0.955-1.000; 91% sensitivity; and 90% specificity for mortality prediction. Out of the total of 84 patients with PP analyzed, there were 11 patients admitted to the high dependency units (13.1%) and 73 patients admitted to the ICU (86.9%). Out of the total of 84 patients of PP in whom data was analyzed, 53 (63.1%) patients required ventilator support. All the 53 patients who required ventilator support due to worsening hypoxemia, eventually expired. The lowest PaO2/FiO2 ≤ 197 within 48 hours of hospitalization, SOFA score ≥9 within 24 hours of ICU admission or need for mechanical ventilation are predictors of mortality in PP patients, who might benefit from early palliative care. Rao S, Maddani SS, Chaudhuri S, Bhatt MT, Karanth S, Damani A, et al. Utility of Clinical Variables for Deciding Palliative Care in Paraquat Poisoning: A Retrospective Study. Indian J Crit Care Med 2024;28(5):453-460.

A new nomogram to predict in-hospital mortality in patients with acute decompensated chronic heart failure and diabetes after 48 Hours of Intensive Care Unit

BackgroundThe study set out to develop an accurate and clinically valuable prognostic nomogram to assess the risk of in-hospital death in patients with acute decompensated chronic heart failure (ADCHF) and diabetes.MethodsWe extracted clinical data of patients diagnosed with ADCHF and diabetes from the Medical Information Mart for Intensive Care III database. Risk variables were selected utilizing least absolute shrinkage and selection operator regression analysis, and were included in multivariate logistic regression and presented in nomogram. bootstrap was used for internal validation. The discriminative power and predictive accuracy of the nomogram were estimated using the area under the receiver operating characteristic curve (AUC), calibration curve and decision curve analysis (DCA).ResultsAmong 867 patients with ADCHF and diabetes, In-hospital death occurred in 81 (9.3%) patients. Age, heart rate, systolic blood pressure, red blood cell distribution width, shock, β-blockers, angiotensin converting enzyme inhibitors or angiotensin receptor blockers, assisted ventilation, and blood urea nitrogen were brought into the nomogram model. The calibration curves suggested that the nomogram was well calibrated. The AUC of the nomogram was 0.873 (95% CI: 0.834–0.911), which was higher that of the Simplified Acute Physiology Score II [0.761 (95% CI: 0.711–0.810)] and sequential organ failure assessment score [0.699 (95% CI: 0.642–0.756)], and Guidelines-Heart Failure score [0.782 (95% CI: 0.731–0.835)], indicating that the nomogram had better ability to predict in-hospital mortality. In addition, the internally validated C-index was 0.857 (95% CI: 0.825–0.891), which again verified the validity of this model.ConclusionsThis study constructed a simple and accurate nomogram for predicting in-hospital mortality in patients with ADCHF and diabetes, especially in those who admitted to the intensive care unit for more than 48 hours, which contributed clinicians to assess the risk and individualize the treatment of patients, thereby reducing in-hospital mortality.

Constructing a predictive model for the death risk of patients with septic shock based on supervised machine learning algorithms

To construct and validate the best predictive model for 28-day death risk in patients with septic shock based on different supervised machine learning algorithms. The patients with septic shock meeting the Sepsis-3 criteria were selected from Medical Information Mart for Intensive Care-IV v2.0 (MIMIC-IV v2.0). According to the principle of random allocation, 70% of these patients were used as the training set, and 30% as the validation set. Relevant predictive variables were extracted from three aspects: demographic characteristics and basic vital signs, serum indicators within 24 hours of intensive care unit (ICU) admission and complications possibly affecting indicators, functional scoring and advanced life support. The predictive efficacy of models constructed using five mainstream machine learning algorithms including decision tree classification and regression tree (CART), random forest (RF), support vector machine (SVM), linear regression (LR), and super learner [SL; combined CART, RF and extreme gradient boosting (XGBoost)] for 28-day death in patients with septic shock was compared, and the best algorithm model was selected. The optimal predictive variables were determined by intersecting the results from LASSO regression, RF, and XGBoost algorithms, and a predictive model was constructed. The predictive efficacy of the model was validated by drawing receiver operator characteristic curve (ROC curve), the accuracy of the model was assessed using calibration curves, and the practicality of the model was verified through decision curve analysis (DCA). A total of 3 295 patients with septic shock were included, with 2 164 surviving and 1 131 dying within 28 days, resulting in a mortality of 34.32%. Of these, 2 307 were in the training set (with 792 deaths within 28 days, a mortality of 34.33%), and 988 in the validation set (with 339 deaths within 28 days, a mortality of 34.31%). Five machine learning models were established based on the training set data. After including variables at three aspects, the area under the ROC curve (AUC) of RF, SVM, and LR machine learning algorithm models for predicting 28-day death in septic shock patients in the validation set was 0.823 [95% confidence interval (95%CI) was 0.795-0.849], 0.823 (95%CI was 0.796-0.849), and 0.810 (95%CI was 0.782-0.838), respectively, which were higher than that of the CART algorithm model (AUC = 0.750, 95%CI was 0.717-0.782) and SL algorithm model (AUC = 0.756, 95%CI was 0.724-0.789). Thus above three algorithm models were determined to be the best algorithm models. After integrating variables from three aspects, 16 optimal predictive variables were identified through intersection by LASSO regression, RF, and XGBoost algorithms, including the highest pH value, the highest albumin (Alb), the highest body temperature, the lowest lactic acid (Lac), the highest Lac, the highest serum creatinine (SCr), the highest Ca2+, the lowest hemoglobin (Hb), the lowest white blood cell count (WBC), age, simplified acute physiology score III (SAPS III), the highest WBC, acute physiology score III (APS III), the lowest Na+, body mass index (BMI), and the shortest activated partial thromboplastin time (APTT) within 24 hours of ICU admission. ROC curve analysis showed that the Logistic regression model constructed with above 16 optimal predictive variables was the best predictive model, with an AUC of 0.806 (95%CI was 0.778-0.835) in the validation set. The calibration curve and DCA curve showed that this model had high accuracy and the highest net benefit could reach 0.3, which was significantly outperforming traditional models based on single functional score [APS III score, SAPS III score, and sequential organ failure assessment (SOFA) score] with AUC (95%CI) of 0.746 (0.715-0.778), 0.765 (0.734-0.796), and 0.625 (0.589-0.661), respectively. The Logistic regression model, constructed using 16 optimal predictive variables including pH value, Alb, body temperature, Lac, SCr, Ca2+, Hb, WBC, SAPS III score, APS III score, Na+, BMI, and APTT, is identified as the best predictive model for the 28-day death risk in patients with septic shock. Its performance is stable, with high discriminative ability and accuracy.

Clinician- and Patient-Identified Solutions to Reduce the Fragmentation of Post-ICU Care in Australia

BackgroundCritical care survivors experience multiple care transitions, with no formal follow-up care pathway. Research QuestionWhat are the potential solutions to improve the communication between treating teams and integration of care following an Intensive Care Unit (ICU) admission – from the perspective of patients, their caregivers, intensivists, and General Practitioners (GPs) from diverse socioeconomic areas? Study Design& Methods: Qualitative design using semi-structured interviews with intensivists, GPs, and patients and caregivers. Framework Analysis was used to analyse data, and to identify solutions to improve the integration of care post-hospital discharge. Patients were previously mechanically ventilated for >24 hours in ICU and had access to a video-enabled device. Clinicians were recruited from hospital networks and a state-wide GP network. ResultsForty-six interviews with clinicians, patients and caregivers were completed (15 Intensivists, 8 GPs, 15 patients and 8 caregivers). Three higher-level feedback loops were identified, that comprised of ten themes. Feedback loop 1: ICU and primary care collaboration: 1. Developing collaborative relationships between the ICU and primary care, 2. Providing interprofessional education and resources to support primary care, 3. Improving role clarity for patient follow-up care; Feedback loop 2: Developing mechanisms for improved communication across the care continuum: 4. Timely, concise information sharing with primary care on post-ICU recovery, 5. Survivorship focused information sharing across the continuum of care, 6. Empowering patients and caregivers in self-management; 7. Creation of a care coordinator role for survivors; and Feedback loop 3: Learning from post-ICU outcomes to improve future care: 8. Developing comprehensive post-ICU care pathways, 9. Enhancing support for patients after hospital, 10. Integration of post-ICU outcomes within the ICU to improve clinician morale and understanding. InterpretationPractical solutions to enhance the quality of survivorship for critical care survivors and their caregivers were identified. These themes are mapped to a novel conceptual model that includes key feedback loops for health system improvements and foci for future interventional trials to improve ICU survivorship outcomes.

Prognostic Impact of Left Compared to Right Heart Function in Sepsis and Septic Shock.

This study investigates the prognostic impact of left ventricular ejection fraction (LVEF) and tricuspid annular plane systolic excursion (TAPSE) in patients with sepsis and septic shock. Consecutive patients with sepsis and septic shock were included from 2019 to 2021. LVEF and TAPSE were assessed during the first 24 hours of intensive care unit (ICU) treatment. Patients were stratified by LVEF of less than 45% and greater than or equal to 45%. The primary endpoint was 30 day all-cause mortality. Two hundred ninety-two consecutive patients were included, of which 26% presented with LVEF of less than 45%. Within the entire study cohort (60% vs. 48%; hazard ratio [HR] = 1.414; 95% confidence interval [CI] = 0.999-2.001; p = 0.050) and specifically in patients with sepsis (58% vs. 36%; HR = 1.919; 95% CI = 1.148-3.208; p = 0.013), LVEF of less than 45% was associated with an increased risk of 30 day all-cause mortality, whereas TAPSE of less than 17 mm was not (56% vs. 52%; log rank p = 0.798). Even after multivariable adjustment, LVEF of less than 45% was accompanied by a worse prognosis in septic patients (HR = 1.944; 95% CI = 1.084-3.485; p = 0.026). Contrarily, LVEF < 45% was not accompanied with increased mortality in septic shock patients (63% vs. 67%; log rank p = 0.847; HR = 0.956; 95% CI 0.596-1.533; p = 0.853). In conclusion, impaired LVEF was associated with increased mortality in septic patients without shock, but not in patients with septic shock. In contrast, impaired right ventricular function was not associated with adverse prognosis in both conditions.

Efficacy of melatonin in decreasing the incidence of delirium in critically ill adults: a randomized controlled trial.

To determine whether enteral melatonin decreases the incidence of delirium in critically ill adults. In this randomized controlled trial, adults were admitted to the intensive care unit and received either usual standard care alone (Control Group) or in combination with 3mg of enteral melatonin once a day at 9 PM (Melatonin Group). Concealment of allocation was done by serially numbered opaque sealed envelopes. The intensivist assessing delirium and the investigator performing the data analysis were blinded to the group allocation. The primary outcome was the incidence of delirium within 24 hours of the intensive care unit stay. The secondary outcomes were the incidence of delirium on Days 3 and 7, intensive care unit mortality, length of intensive care unit stay, duration of mechanical ventilation and Glasgow outcome score (at discharge). We included 108 patients in the final analysis, with 54 patients in each group. At 24 hours of intensive care unit stay, there was no difference in the incidence of delirium between Melatonin and Control Groups (29.6 versus 46.2%; RR = 0.6; 95%CI 0.38 - 1.05; p = 0.11). No secondary outcome showed a statistically significant difference. Enteral melatonin 3mg is not more effective at decreasing the incidence of delirium than standard care is in critically ill adults.

Predicting high-intensity resuscitation needs in injured patients in the post-hemostasis phase of care following intervention.

Best resuscitation practices in the posthemostasis phase of care are poorly defined; this phase of care is characterized by a range of physiologic derangements and multiple therapeutic modalities used to address them. Using a cohort of injured patients who required an immediate intervention in the operating room or angiography suite following arrival to the emergency department, we sought to define high-intensity resuscitation (HIR) in this posthemostasis phase of care; we hypothesized that those who would require HIR could be identified, using only data available at intensive care unit (ICU) admission. Clinical data were extracted for consecutive injured patients (2016-2019) admitted to the ICU following an immediate procedure in the operating room or angiography suite. High-intensity resuscitation thresholds were defined as the top decile of blood product (≥3 units) and/or crystalloid (≥4 L) use in the initial 12 hours of ICU care and/or vasoactive medication use between ICU hours 2 and 12. The primary outcome, HIR, was a composite of any of these modalities. Predictive modeling of HIR was performed using logistic regression with predictor variables selected using Least Absolute Shrinkage and Selection Operator (LASSO) estimation. Model was trained using 70% of the cohort and tested on the remaining 30%; model predictive ability was evaluated using area under receiver operator curves. Six hundred five patients were included. Patients were 79% male, young (median age, 39 years), severely injured (median Injury Severity Score, 26), and an approximately 3:2 ratio of blunt to penetrating mechanisms of injury. A total of 215 (36%) required HIR. Predictors selected by LASSO included: shock index, lactate, base deficit, hematocrit, and INR. The area under receiver operator curve for the LASSO-derived HIR prediction model was 0.82. Intensive care unit admission data can identify subsequent HIR in the posthemostasis phase of care. Use of this model may facilitate triage, nursing ratio determination, and resource allocation. Therapeutic/Care Management; Level IV.

Routine Extubation in the Operating Room After Isolated Coronary Artery Bypass

BackgroundThe benefits of fast-track extubation in the intensive care unit (ICU) after cardiac surgery are well established. Although extubation in the operating room (OR) is safe in carefully selected patients, widespread use of this strategy in cardiac surgery remains unproven. This study was designed to evaluate perioperative outcomes with OR vs ICU extubation in patients undergoing nonemergency, isolated coronary artery bypass grafting (CABG). MethodsThe Society of Thoracic Surgeons (STS) data for all single-center patients who underwent nonemergency isolated CABG over a 6-year interval were analyzed. Perioperative morbidity and mortality with ICU vs OR extubation were compared. ResultsBetween January 1, 2017 and December 31, 2022, 1397 patients underwent nonemergency, isolated CABG; 891 (63.8%) of these patients were extubated in the ICU, and 506 (36.2%) were extubated in the OR. Propensity matching resulted in 414 pairs. In the propensity-matched cohort, there were no differences between the 2 groups in incidence of reintubation, reoperation for bleeding, total operative time, stroke or transient ischemic attack, renal failure, or 30-day mortality. OR-extubated patients had shorter ICU hours (14 hours vs 20 hours; P < .0001), shorter postoperative hospital length of stay (3 days vs 5 days; P < .0001), a greater likelihood of being discharged directly to home (97.3% vs 89.9%; P < .0001), and a lower 30-day readmission rate (1.7% vs 4.1%; P = .04). ConclusionsRoutine extubation in the OR is a feasible and safe strategy for a broad spectrum of patients after nonemergency CABG, with no increase in perioperative morbidity or mortality. Wider adoption of routine OR extubation for nonemergency CABG is indicated.

Hormonal changes in the first 24 postoperative hours after cardiac surgical procedures.

Hormone level changes after heart surgeries are a widely observed phenomenon due to neurohormonal feedback mechanisms that may affect postoperative morbidity and mortality. The current study aimed to analyze the changes in thyroid and sex hormones in the first 24 postoperative hours after heart surgery. This prospective, observational study (registered on ClinicalTrials.gov: NCT03736499; 09/11/2018) included 49 patients who underwent elective cardiac surgical procedures at a tertiary heart center between March 2019 and December 2019. Thyroid hormones, including thyroid-stimulating hormone (TSH), triiodothyronine (T3), and thyroxine (T4), and sex hormones, including prolactin (PRL) and total testosterone, were measured preoperatively and at 24 h postoperatively. Significant decreases in serum TSH (P < 0.001), T3 (P < 0.001) and total testosterone (P < 0.001) levels were noted, whereas T4 (P = 0.554) and PRL (P = 0.616) did not significantly change. Intensive care unit (ICU) hours (P < 0.001), mechanical ventilation (P < 0.001) and Vasoactive-Inotropic Score (VIS) (P = 0.006) were associated with postoperative T3 level. ICU hours were associated with postoperative T4 level (P=0.028). Postoperative and delta testosterone levels were in connection with lengths of stay in ICU (P=0.032, P = 0.010 respectively). Model for End-Stage Liver Disease (MELD) scores were associated with thyroid hormone levels and serum testosterone. T3 may represent a marker of nonthyroidal illness syndrome and testosterone may reflect hepatic dysfunction. In addition, PRL may act as astress hormone in female patients.

Association between circadian body temperature rhythm during the first 24 hours of ICU stay and 28-day mortality in elderly critically ill patients: A retrospective cohort study

ABSTRACT Disrupted circadian temperature rhythm is commonly observed in elderly patients in the intensive care unit (ICU), but the association between circadian temperature rhythm and mortality in elderly patients is unclear. Adult patients with a relatively complete record of body temperature (BT) during the first 24 hours of ICU stay in the Multi-parameter Intelligent Monitoring in Intensive Care IV (MIMIC-IV) database were included in this retrospective cohort study. The circadian rhythm of body temperature was blunted as a ratio of the maximum BT between 12:00 and 24:00 divided by the minimum BT between 0:00 and 12:00, and we defined it as BT fluctuation ratio. The associations of BT fluctuation ratio with 28-day mortality were assessed separately using Cox proportional hazards model in elderly patients and non-elderly patients. The overall cohort comprised 12 767 patients. After adjusting for covariates, the analysis showed that the BT fluctuation ratio (%) was significantly associated with mortality at 28 days in total patients (hazard ratio: 1.044; 95% CI 1.001–1.088; P = 0.042), and still significantly in elderly patients (hazard ratio 1.055, 95% CI as 1.004–1.109, p = 0.035), but not significantly in non-elderly patients. The implementation of restricted cubic splines demonstrated a nonlinear correlation between the ratio of BT fluctuation and the hazard ratio of 28-day mortality, indicating that increased diurnal temperature fluctuations are linked to elevated risk of mortality. This study revealed that the augmented amplitude of the circadian rhythm of body temperature in the elderly patients constitutes a risk factor for the rise of 28-day mortality. Additionally, the circadian body temperature rhythm may facilitate the early detection of critically ill elderly patients.

Parents who spent more hours in intensive care units with their low birthweight newborn infant did not achieve autonomous care faster.

We examined the correlation between how long it took the parents of very low birthweight infants, born weighing up to 1500 g, to provide different kinds of autonomous care in a neonatal intensive care unit (NICU). This prospective observational was conducted in the NICU of a Spanish hospital from 10 January 2020 to 3 May 2022. The unit had 11 beds single-family rooms and provided eight beds in an open bay room. The study examined breastfeeding, patient safety, participation in rounds, pain prevention and cleanliness. We studied 96 patients and their parents and there was no correlation between any type of care and the time it took parents to provide it autonomously. Parents in the single-family room cohort spent a median of 9.5 h per day between them in the NICU, while the parents in the open bay room spent 7.0 h with their infants (p = 0.03). However, parents in the single-family room group were able to recognise pain faster (p = 0.02). Parents in single-family rooms spent more time in the NICU and recognised pain faster but did not achieve autonomous care faster than parents in the open bay group.

Prospective observational study on prescription pattern of antibiotics in general ward and intensive care unit in tertiary care hospital

The prescription pattern monitoring facilitate the rational use of drugs in the population. Rational use of drug means patients receive medication appropriate to their clinical needs in closes that meet the individual requirement for an adequate period of time and at an economical price to the individual and overall to the community. Role of Right medicine in the Right manner in the Right patients must be followed while using Antibiotics. Irrational use of medicines is major problem worldwide. WHO estimates that more than half of all medicines are prescribed, dispensed or sold inappropriately and that half of all patients fail to take them correctly. The overuse, underuse or misuse of medicine result in wastage of scarce resource and widespread health hazards. Therefore, appropriate and safe use of antibiotics in healthcare system is more Important. The main objective of the study was to determine the percentage of antibiotics used in general ward and in intensive care unit and to find out most commonly Prescribed antibiotic within 72 hours in intensive care unit, the most common microorganism found in culture sensitivity test and the common route of drug administration in general ward and in intensive care unit. This is a prospective observational study. The study was conducted in tertiary care hospital in Gujarat. The duration of the study was 6 months. Total of 120 patients data was collected from the patient case sheet. Prescription of the patients are collected in designed CRF form and relevant data is analysed to obtain frequency and percentage. Out of 120 patients, majority of patients were male and most commonly used route of administered was Iv. The commonly prescribed antibiotics in general ward was ceftriaxone 28 (29.43%), metronidazole 10 (10.53%), cefoperazone + sulbactum 10 (10.53 %) and Amoxicilin + clavulanic acid 7 (7.37 %) prescribed for different condition. In Intensive care unit, commonly prescribed antibiotics was ceftriaxone 19 (18.1 %), meropenem 15 (14.29 %) and Cefoperazone + sulbactum 12 (11. 44 %). On Discharge Time most of the patients was still on antibiotics therapy.This study analysed 120 prescription and ceftriaxone, cefoperazone + sulbactum, amoxicillin + clavulanic acid, meropenem, cefadroxil ,vancomycin,cefepime + tazobactum piperacilin + tazobactum, doxycycline Cefixime are the hospital formulary. Prescription pattern studies have become a potential tool for evaluating the health care System. This study provides important baseline information on antibiotics use. This study severs to spotlight the current prescribing trends in patients. The use of a single agent and the combination of antibiotics were dependent upon the hospital formulary and protocols and policies for antibiotic use.

Optimized Risk Score to Predict Mortality in Patients With Cardiogenic Shock in the Cardiac Intensive Care Unit.

Background Mortality prediction in critically ill patients with cardiogenic shock can guide triage and selection of potentially high-risk treatment options. Methods and Results We developed and externally validated a checklist risk score to predict in-hospital mortality among adults admitted to the cardiac intensive care unit with Society for Cardiovascular Angiography & Interventions Shock Stage C or greater cardiogenic shock using 2 real-world data sets and Risk-Calibrated Super-sparse Linear Integer Modeling (RiskSLIM). We compared this model to those developed using conventional penalized logistic regression and published cardiogenic shock and intensive care unit mortality prediction models. There were 8815 patients in our training cohort (in-hospital mortality 13.4%) and 2237 patients in our validation cohort (in-hospital mortality 22.8%), and there were 39 candidate predictor variables. The final risk score (termed BOS,MA2) included maximum blood urea nitrogen ≥25 mg/dL, minimum oxygen saturation <88%, minimum systolic blood pressure <80 mm Hg, use of mechanical ventilation, age ≥60 years, and maximum anion gap ≥14 mmol/L, based on values recorded during the first 24 hours of intensive care unit stay. Predicted in-hospital mortality ranged from 0.5% for a score of 0to 70.2% for a score of 6. The area under the receiver operating curve was 0.83 (0.82-0.84) in training and 0.76 (0.73-0.78) in validation, and the expected calibration error was 0.9% in training and 2.6% in validation. Conclusions Developed using a novel machine learning method and the largest cardiogenic shock cohorts among published models, BOS,MA2 is a simple, clinically interpretable risk score that has improved performance compared with existing cardiogenic-shock risk scores and better calibration than general intensive care unit risk scores.

Predictors of Mortality in Adults With Sickle Cell Disease Admitted to the Intensive Care Unit in King Saud Medical City, Saudi Arabia.

Background Sickle cell disease (SCD) is the most common genetic blood disorder in Saudi Arabia. A limited number of studies have been conducted on SCD patients regarding their intensive care unit (ICU) admissions. We aimed to identify the cause of ICU admission in SCD patients and to identify predictors of mortality. Methodology We identified 64 patients with SCD, aged 14 years and older, who were admitted to the ICU of King Saud Medical City, Riyadh, Kingdom of Saudi Arabia, from January 1, 2017, to December 31, 2020. Results Acute chest syndrome was the most frequent primary diagnosis for ICU admission in 29 (45.3%) patients followed by vaso-occlusive crisis in 23 (35.9%) patients. Pregnancy in eight (12.5%) patients was the most prevalent co-existing condition. The median age was 29 years, with males comprising 45.3% and females comprising 54.7% of the study population. Arterial blood gas pH less than 7.2 on ICU admission (p= <0.001), hemodialysis support (p= 0.049), the use of vasopressors (p= 0.016), intubation (p= <0.001), and being intubated within the first 24 hours of ICU stay (p= 0.04) had a statistically significant association with mortality at ICU discharge out of all the variables tested. Mortality on ICU discharge was 7 (10.9%). Conclusion This was a retrospective study carried out in King Saud Medical City. Comparing the results of the study to those of similar ones conducted around the world revealed a low SCD ICU mortality rate. This low mortality may be a result of improved overall ICU care. We recommend a multi-center, prospective study in future.

The Impact of Weight Loss Prior to Hospital Readmission.

Hospital readmissions place a burden on hospitals. Reducing the readmission number and duration will help reduce the burden. Weight loss might affect readmission risk, especially the risk of an early (<30 days) readmission. This study sought to identify the predictors and the impact of weight loss prior to a delayed readmission (>30 days). Body mass index (BMI) was measured during the index admission and first readmission. Patients, after their readmission, were assessed retrospectively to identify the characteristics of those who had lost >5% weight prior to that readmission. Length of stay (LOS), time spent in the intensive care unit (ICU) and the one-year mortality of those patients who lost weight were compared to the outcomes of those who remained weight-stable using multilevel mixed-effects regression adjusting for BMI, Charlson comorbidity index (CCI), ICU hours and relative stay index (RSI). Those who were at risk of weight loss prior to readmission were identifiable based upon their age, BMI, CCI and LOS. Of 1297 patients, 671 (51.7%) remained weight-stable and 386 (29.7%) lost weight between admissions. During their readmission, those who had lost weight had a significantly higher LOS (IRR 1.17; 95% CI 1.12, 1.22: p < 0.001), RSI (IRR 2.37; 95% CI 2.27, 2.47: p < 0.001) and an increased ICU LOS (IRR 2.80; 95% CI 2.65, 2.96: p < 0.001). This study indicates that weight loss prior to a delayed readmission is predictable and leads to worse outcomes during that readmission.