Hours Of Intensive Care Unit Admission Research Articles

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.

Facial appearance associates with longitudinal multi-organ failure: an ICU cohort study

BackgroundFacial appearance, whether consciously or subconsciously assessed, may affect clinical assessment and treatment strategies in the Intensive Care Unit (ICU). Nevertheless, the association between objective clinical measurement of facial appearance and multi-organ failure is currently unknown. The objective of this study was to examine whether facial appearance at admission is associated with longitudinal evaluation of multi-organ failure.MethodsThis was a sub-study of the Simple Intensive Care Studies-II, a prospective observational cohort study. All adult patients acutely admitted to the ICU between March 26, 2019, and July 10, 2019, were included. Facial appearance was assessed within three hours of ICU admission using predefined pictograms. The SOFA score was serially measured each day for the first seven days after ICU admission. The association between the extent of eye-opening and facial skin colour with longitudinal Sequential Organ Failure Assessment (SOFA) scores was investigated using generalized estimation equations.ResultsSOFA scores were measured in 228 patients. Facial appearance scored by the extent of eye-opening was associated with a higher SOFA score at admission and follow-up (unadjusted 0.7 points per step (95%CI 0.5 to 0.9)). There was no association between facial skin colour and a worse SOFA score over time. However, patients with half-open or closed eyes along with flushed skin had a lower SOFA score than patients with a pale or normal facial skin colour (P-interaction < 0.1).ConclusionsThe scoring of patients’ facial cues, primarily the extent of eye-opening and facial colour, provided valuable insights into the disease state and progression of the disease of critically ill patients. The utilization of advanced monitoring techniques that incorporate facial appearance holds promise for enhancing future intensive care support.

The prevalence of acute kidney injury in patients with community-acquired pneumonia who required mechanical ventilation.

Community-acquired pneumonia (CAP) is a common reason for intensive care unit (ICU) admission and sepsis. Acute kidney injury (AKI) is a frequent complication of community-acquired pneumonia and is associated with increased short- and long-term morbidity and mortality and healthcare costs. Describe the prevalence of AKI in patients with CAP requiring mechanical ventilation and evaluate its association with inhospital mortality. Retrospective cohort. Intensive care unit. We included patients with CAP on mechanical ventilation. Patients were categorized according to the development of AKI in the first 24 hours of ICU admission using the Kidney Disease Improving Global Outcomes (KDIGO) classification from no AKI, stage 1 AKI, stage 2 AKI, and stage 3 AKI. The primary outcome was hospital mortality. Secondary outcomes were ICU mortality, hospital and ICU length of stay, ventilation duration, tracheostomy, and renal replacement therapy requirement. Of 1536 patients included in the study, 829 patients (54%) had no AKI while 707 (46%) developed AKI. In-hospital mortality was 288/829 (34.8%) for patients with no AKI, 43/111 (38.7%) for stage 1 AKI, 86/216 (40%) for stage 2 AKI, and 196/380 (51.7%) for stage 3 AKI (P<.0001). Multivariate analysis revealed that stages 1, 2, or 3 AKI compared to no AKI were not independently associated with in-hospital mortality. Older age, vasopressor use; decreased Glasgow coma scale, PaO2/Fio2 ratio and platelet count, increased bilirubin, lactic acid and INR were associated with increased mortality while female sex was associated with reduced mortality. Among mechanically ventilated patients with CAP, AKI was common and was associated with higher crude mortality. The higher mortality could not be attributed alone to AKI, but rather appeared to be related to multi-organ dysfunction. Single-center retrospective study with no data on baseline serum creatinine and the use of estimated baseline creatinine distributions based on the MDRD (Modification of Diet in Renal Disease)equation which may lead to an overestimation of AKI. Second, we did not have data on the microbiology of pneumonia, appropriateness of antibiotic therapy or the administration of other medications that have been demonstrated to be associated with AKI.

Factors Associated with Costly Hospital Care among Patients with Dementia and Acute Respiratory Failure.

Understanding contributors to costly and potentially burdensome care for patients with dementia is of interest to healthcare systems and may facilitate efforts to promote goal-concordant care. To identify risk factors, in particular whether an early goals of care discussion (GOCD) took place, for high-cost hospitalization among patients with dementia and acute respiratory failure. We conducted an electronic health record-based retrospective cohort study of 298 adults with dementia hospitalized with respiratory failure (receiving ≥48 hours mechanical ventilation) within an academic healthcare system. We collected demographic and clinical characteristics, including clinical markers of advanced dementia (weight loss, pressure ulcers, hypernatremia, mobility limitations) and intensive care unit (ICU) service (medical, surgical, neurologic). We ascertained whether a GOCD was documented within 48 hours of ICU admission. We used logistic regression to identify patient characteristics associated with high-cost hospitalization measured using the hospital system accounting database and defined as total cost in the top third of the sample (>=$145,000). We examined a path model that included hospital length of stay as a final mediator between exposure variables and high-cost hospitalization. Patients in the sample had a median age of 71 (IQR 62-79) years. About half (49%) were admitted to a medical ICU, 29% to a surgical ICU, and 22% to a neurologic ICU. Over half (59%) had a clinical indicator of advanced dementia. A minority (31%) had a GOCD documented within 48 hours of ICU admission; those who did had 50% lower risk of a high-cost hospitalization (RR 0.50, 95% CI 0.2-0.8). Older age, limited English proficiency, and nursing home residence were associated with lower likelihood of high-cost hospitalization, whereas greater comorbidity burden and admission to a surgical or neurologic ICU as compared to a medical ICU were associated with higher likelihood of high-cost hospitalization. Early GOCD for patients with dementia and respiratory failure may promote high-value care by ensuring aggressive and costly life support interventions are aligned with patients' goals. Future work should focus on increasing early palliative care delivery for patients with dementia and respiratory failure, in particular in surgical and neurologic ICU settings.

Early Sepsis-Associated Acute Kidney Injury and Obesity.

The prevalence of obesity is increasing in the intensive care unit (ICU). Although obesity is a known risk factor for chronic kidney disease, its association with early sepsis-associated acute kidney injury (SA-AKI) and their combined association with patient outcomes warrant further investigation. To explore the association between obesity, early SA-AKI incidence, and clinical outcomes in patients with sepsis. This nationwide, prospective cohort study analyzed patients aged 19 years or older who had sepsis and were admitted to 20 tertiary hospital ICUs in Korea between September 1, 2019, and December 31, 2021. Patients with preexisting stage 3A to 5 chronic kidney disease and those with missing body mass index (BMI) values were excluded. Sepsis and hospitalization in the ICU. The primary outcome was SA-AKI incidence within 48 hours of ICU admission, and secondary outcomes were mortality and clinical recovery (survival to discharge within 30 days). Patients were categorized by BMI (calculated as weight in kilograms divided by height in meters squared), and data were analyzed by logistic regression adjusted for key characteristics and clinical factors. Multivariable fractional polynomial regression models and restricted cubic spline models were used to analyze the clinical outcomes with BMI as a continuous variable. Of the 4041 patients (median age, 73 years [IQR, 63-81 years]; 2349 [58.1%] male) included in the study, 1367 (33.8%) developed early SA-AKI. Obesity was associated with a higher incidence of SA-AKI compared with normal weight (adjusted odds ratio [AOR], 1.40; 95% CI, 1.15-1.70), as was every increase in BMI of 10 (OR, 1.75; 95% CI, 1.47-2.08). While obesity was associated with lower in-hospital mortality in patients without SA-AKI compared with their counterparts without obesity (ie, underweight, normal weight, overweight) (AOR, 0.72; 95% CI, 0.54-0.94), no difference in mortality was observed in those with SA-AKI (AOR, 0.85; 95% CI, 0.65-1.12). Although patients with obesity without SA-AKI had a greater likelihood of clinical recovery than their counterparts without obesity, clinical recovery was less likely among those with both obesity and SA-AKI. In this cohort study of patients with sepsis, obesity was associated with a higher risk of early SA-AKI and the presence of SA-AKI modified the association of obesity with clinical outcomes.

Clinical Profile and Outcome of Drug Abuse Patients Admitted in Intensive Care Unit of a Tertiary Care Hospital in Kashmir: A Prospective Observational Study

Introduction: Drug abuse is a global public health issue that poses significant challenges to healthcare systems particularly in intensive care units (ICU). This study aims to assess the clinical profile and outcomes of drug abuse patients admitted to ICU of a tertiary care hospital in North India.Methods: A prospective observational study was conducted over period of 3 years involving drug abuse patients admitted to the ICU. Demographic data, clinical characteristics, substance abuse patterns, co-morbidities, severity scores and outcomes were recorded.Results: A total of 35 patients were included in the study. All patients were males with a mean age of 29.1(± 11.68).25 patients were from rural areas. 42.8% were unemployed. Most of the patients (85.7%) were unmarried. 34.3% were students. Mean APACHE II score on ICU admission was 13. Most of patients were admitted for heroin overdose (60%). All 35 patients admitted in ICU had low Glasgow coma scale (GCS&lt; 7). 32 (91.4%) patients had associated respiratory failure. 7 patients had cardiovascular instability. 4 (11.4%) patients developed multi-organ failure during the ICU stay. Mean duration of ICU stay was 3.4 (± 2.68). 23 (65.7%) patients got extubated within 24 hours of ICU admission. 4 patients expired (11.4% mortality) in study group. Sepsis was cause of death in one patient, 3 patients died of multi-organ failureConclusion: Most of the overdose was due to opioids specifically of heroin. CNS depression was found in all drug overdose patients followed by respiratory failure. Multi organ involvement have poor outcome. Mortality ensued in 11.4% of admitted patients as a result of sepsis and multi-organ failure. Majority of the patients had good outcome especially patients who presented early to healthcare facility.

Benefit of intrapleural fibrinolytic therapy in the treatment of complicated parapneumonic effusion and empyema.

Our study aimed to assess the benefit of intrapleural fibrinolysis before resorting to surgery to treat complicated parapneumonic effusion and empyema. We conducted a retrospective and descriptive study, including all patients hospitalized in the intensive care unit (ICU) of the Abderhaman Mami hospital, Tunisia for empyema treated with instillation of intrapleural fibrinolytic therapy between the 1st January 2000 and 31st December 2016. In all patients, empyema was diagnosed on clinical features, imaging findings (chest X-ray, thoracic echography and/or computed tomography (CT), and microbiological data. The fibrinolytic agent used was streptokinase. The efficiency of intrapleural fibrinolytic therapy was judged on clinical and paraclinical results. Among 103 cases of complicated parapneumonic effusion and empyema, 34 patients were included. The mean age was 34 years [15-81] with a male predominance (sex ratio at 2.77). Median APACH II score was 9. Fifty (50%) of the patients (n=17) had no past medical history; addictive behavior was described in 17 patients (50%). All patients were admitted for acute respiratory failure and one patient for septic shock. Pleural effusion was bilateral in 7 patients. Bacteria isolated were Streptococcus pneumonia (6 cases), Staphylococcus aureus (3 cases, including one which methicillin-resistant), Staphylococcus epidermidis (1 case), anaerobes (5 cases), and Klebsiella pneumoniae (1 case). First-line antimicrobial drug therapy was amoxicillin-clavulanate in 20 patients. A chest drain was placed in all cases in the first 38 hours of ICU admission. The median number of fibrinolysis sessions was 4 [2-9] and the median term of drainage was 7 days [3-16]. No side effects were observed. Video-assisted thoracoscopic surgery was proposed in 5 patients. The median length of hospitalization stay was 15 days [6-31]. One patient died due to multi-organ failure.

Impact of daily cyclic enteral nutrition versus standard continuous enteral nutrition in critically ill patients: a study protocol for a randomised controlled trial in three intensive care units in France (DC-SCENIC)

IntroductionCurrent guidelines on clinical nutrition of ventilated patients in the intensive care unit (ICU) recommend initiating continuous enteral nutrition within 48 hours of ICU admission when feasible. However, discontinuous feeding...

PROGNOSTIC PERFORMANCE OF SERIAL DETERMINATION OF THE SOCIETY FOR CARDIOVASCULAR ANGIOGRAPHY AND INTERVENTIONS SHOCK CLASSIFICATION IN ADULTS WITH CRITICAL ILLNESS.

Purpose: The aim of the study is to evaluate whether serial assessment of shock severity can improve prognostication in intensive care unit (ICU) patients. Materials and Methods: This is a retrospective cohort of 21,461 ICU patient admissions from 2014 to 2018. We assigned the Society for Cardiovascular Angiography and Interventions (SCAI) Shock Stage in each 4-h block during the first 24 h of ICU admission; shock was defined as SCAI Shock stage C, D, or E. In-hospital mortality was evaluated using logistic regression. Results: The admission SCAI Shock stages were as follows: A, 39.0%; B, 27.0%; C, 28.9%; D, 2.6%; and E, 2.5%. The SCAI Shock stage subsequently increased in 30.6%, and late-onset shock developed in 30.4%. In-hospital mortality was higher in patients who had shock on admission (11.9%) or late-onset shock (7.3%) versus no shock (4.3%). Persistence of shock predicted higher mortality (adjusted OR = 1.09; 95% CI = 1.06-1.13, for each ICU block with shock). The mean SCAI Shock stage had higher discrimination for in-hospital mortality than the admission or maximum SCAI Shock stage. Dynamic modeling of the SCAI Shock classification improved discrimination for in-hospital mortality (C-statistic = 0.64-0.71). Conclusions: Serial application of the SCAI Shock classification provides improved mortality risk stratification compared with a single assessment on admission, facilitating dynamic prognostication.

810. Predictors of 30-Day Mortality Among Critically Ill Patients with Candidemia Identified by T2Candida Panel

Abstract Background Candidemia is associated with mortality rates exceeding 40%. However, prior studies indicate mortality may be reduced when antifungal therapy is initiated within 12 hours. The T2Candida Panel is a diagnostic assay that detects Candida species directly from a whole blood specimen within 3-5 hours (T2 Biosystems, Lexington, MA). The objective of this study is to identify predictors of 30-day mortality in patients with candidemia identified by T2Candida Panel. Methods This is a retrospective, multicenter study of critically ill patients with candidemia identified by T2Candida Panel from January 2016 - December 2022. Critically ill patients were defined as those who developed candidemia during an intensive care unit (ICU) stay or within 72 hours of ICU admission or discharge. T2Candida sites were chosen across the United States based on T2Candida utilization. Exclusion criteria were patients &amp;lt; 18 years of age, those with prophylactic indications for antifungal therapy, prisoners and pregnant patients. Multivariate logistic regression was conducted to identify factors associated with 30-day mortality measured from the T2Candida draw time. Results There were 171 ICU patients from seven institutions with candidemia identified by T2Candida panel. The mean (standard deviation [SD]) age was 59.7 (14.8) years and 52.1% were male. Mean (SD) APACHE II and Charlson Comorbidity Index scores were 20.6 (7.1) and 4.9 (2.8), respectively. Empiric antifungal therapy was administered to 36.8% of patients and the majority received infectious diseases (ID) consult (92.4%). Echinocandins were the most common agents used for empiric (72.7%) and definitive therapy (62.6%). Overall, 30-day mortality occurred in 36.0% and was not associated with antifungal de-escalation. Administration of empiric therapy (aOR 0.457, 95% CI 0.199-1.054) and ID consult (aOR 0.225, 95% CI 0.056-0.913) were associated with reduced odds of 30-day mortality. Conclusion Empiric antifungal administration and ID consult were independently associated with reduced odds of 30-day mortality in patients with candidemia identified by T2Candida Panel. Future studies are needed to evaluate the impact of the T2Candida panel on antifungal stewardship. Disclosures Ryan K. Shields, PharmD, MS, Allergan: Advisor/Consultant|Cidara: Advisor/Consultant|Entasis: Advisor/Consultant|GSK: Advisor/Consultant|Melinta: Advisor/Consultant|Melinta: Grant/Research Support|Menarini: Advisor/Consultant|Merck: Advisor/Consultant|Merck: Grant/Research Support|Pfizer: Advisor/Consultant|Roche: Grant/Research Support|Shionogi: Advisor/Consultant|Shionogi: Grant/Research Support|Utility: Advisor/Consultant|Venatorx: Advisor/Consultant|Venatorx: Grant/Research Support Michael J. Rybak, PharmD, PhD, MPH, Abbvie, Merck, Paratek, Shionogi, Entasis, La Jolla, T2 Biosystems: Advisor/Consultant

Abstract 12030: Predicting Atrial Fibrillation in Critically Ill Patients: A Machine Learning Approach

Introduction: Atrial fibrillation (AF) is the most prevalent arrhythmia in critically ill patients, with significant implications for morbidity and mortality. Early prediction of AF risk is crucial for proactive management. This study aims to develop and validate a machine learning-based risk prediction model for AF in intensive care unit (ICU) patients. Methods: Using the Medical Information Mart for Intensive Care (MIMIC-IV) database, we conducted a retrospective cohort study that included adult ICU patients and collected 47 clinical and laboratory variables. The primary outcome variable was the development of AF within the first 48 hours of ICU admission. Various machine learning models were evaluated for their performance in predicting AF, and the best-performing model was further optimized using hyperparameter tuning. A compact model, incorporating only 15 variables and two novel features, was also developed to facilitate potential clinical implementation. The first new feature, ‘ older septic ’ indicated patients aged 70 or older with sepsis, capturing the combined effect of age and sepsis as a risk factor for AF. The second new feature, ‘ cardiac risk score ’ was a composite score considering patient’s pre-existing cardiac risk factors. Model interpretability was assessed using Shapley Additive exPlanations (SHAP) analysis. Results: The cohort comprised 46,266 ICU patients, with 4.6% developing AF within 48 hours of admission. The CatBoost Classifier model demonstrated superior performance, achieving an area under the receiver operating characteristic curve (AUC) of 0.850 (95% CI: 0.811-0.889) on the test set. The compact model with new features yielded an AUC of 0.820 (95% CI: 0.782-0.858), which is a comparable performance using a fraction of the variables. SHAP analysis highlighted the importance of the newly created features as key predictors, indicating the significance of age, sepsis, and cardiac risk factors in AF development. Conclusions: This study underscores the potential of machine learning models in predicting AF development in ICU patients. The compact model, with a satisfactory AUC, can be a valuable tool for identifying high-risk patients, enabling timely interventions to mitigate the adverse outcomes associated with AF.

Study on critical illness and bone turnover

Purpose: Critical illness has been recognized to acutely influence bone metabolism and, consequently, bone mineral density. The main purpose of this study was to describe bone metabolism changes in adult survivors of critical illness in an attempt to correlate them with severity scores. Methods: An open, prospective, observational, monocentric study in patients admitted to the intensive care unit (ICU) was conducted, evaluating bone metabolism at baseline (within 72 hours of ICU admission), 6 months, and 12 months. Results: Fifty-nine patients admitted to the ICU (63% males), mean age 58 ± 16 years, were enrolled. Of these, 20 patients (34%) completed the one-year follow up. At baseline, bone resorption showed an increase, which was maintained at 6 months, and followed by normalization at 12 months. Patients showed, in the majority of cases, hypovitaminosis D with hyperparathyroidism at baseline with subsequent normalization. A trend towards a correlation was described between severity scores and serum 25(OH) vitamin D and bone turnover marker levels. Conclusions: These results help to confirm a positive association between critical illness requiring ICU admission and bone metabolism changes. This study lays the foundations for further studies evaluating bone health in ICU patients. KEY WORDS: Critical illness, osteoporosis, bone turnover, bone metabolism, treatment.

Shock Severity Classification and Mortality in Adults With Cardiac, Medical, Surgical, and Neurological Critical Illness

ObjectiveTo evaluate whether the Society for Cardiovascular Angiography and Interventions (SCAI) Shock Classification could perform risk stratification in a mixed cohort of intensive care unit (ICU) patients, similar to its validation in patients with acute cardiac disease. MethodsWe included 21,461 adult Mayo Clinic ICU patient admissions from December 1, 2014, to February 28, 2018, including cardiac ICU (16.7%), medical ICU (37.4%), neurosciences ICU (27.7%), and surgical ICU (18.2%). The SCAI Shock Classification (a 5-stage classification from no shock [A] to refractory shock [E]) was assigned in each 4-hour period during the first 24 hours of ICU admission. ResultsThe median age was 65 years, and 43.2% were female. In-hospital mortality occurred in 1611 (7.5%) patients, with a stepwise increase in in-hospital mortality in each higher maximum SCAI Shock stage overall: A, 4.0%; B, 4.6%; C, 7.0%; D, 13.9%; and E, 40.2%. The SCAI Shock Classification provided incremental mortality risk stratification in each ICU, with the best performance in the cardiac ICU and the worse performance in the neurosciences ICU. The SCAI Shock Classification was associated with higher adjusted in-hospital mortality (adjusted odds ratio, 1.32 per each stage; 95% CI, 1.24 to 1.41; P<.001); this association was not observed in the neurosciences ICU when considered separately. ConclusionThe SCAI Shock Classification provided incremental mortality risk stratification beyond established prognostic markers across the spectrum of medical and surgical critical illness, proving utility outside its original intent.

Relationships Between Personality Traits and Perceived Stress in Surrogate Decision-Makers of Intensive Care Unit Patients.

Personality traits, specifically neuroticism, are related to stress in surrogate decision-makers (SDMs) in outpatient settings. We hypothesized that intrinsic traits are related to SDM stress in the intensive care unit (ICU) to determine if personality considerations should be included in interventions to support SDMs. Eligible participants (adult SDMs of non-capacitated ICU patients) completed validated questionnaires including stress (Impact of Events Scale-Revised, IES-R) and personality (Big Five Inventory, BFI) within 72 hours of ICU admission and again at 3 months post-ICU discharge (in addition to a qualitative interview). Bivariate Pearson correlations explored the relationship between BFI and IES-R at each time point (95% CI) and t-tests explored the relationship between stress and COVID-19. Mixed-methods analysis integrated qualitative and quantitative data. Of 32 SDMs, 71.9% were female, 93.8% white, and 97.0% were family members. Neuroticism was not significantly correlated to IES-R at 72 hours (r = 0.09; p = 0.64), but r increased 3 months post-discharge (r = 0.32; p = 0.07). Other BFI traits did not show similar patterns. Total stress was greater in surrogates of COVID-19-positive patients (COVID-19-positive: 60.6; COVID-19-negative: 49.8; p = 0.025). Mixed-methods analysis demonstrated that participants with high neuroticism scores had poorer emotional regulation than those with low neuroticism scores. This study supports that personality, particularly neuroticism, influences the stress of SDMs in the ICU. Further study of personality traits may identify surrogates who are at higher risk of stress-related disorders, which can guide future interventions.

Analysis of Predictors and Outcomes of COVID-19 Patients Requiring ICU Admission from COVID-19 Registry, India.

Patients admitted to intensive care units (ICUs) with severe coronavirus disease (COVID-19) are associated with high mortality. The present retrospective, multicenter study describes the predictors and outcomes of COVID-19 patients requiring ICU admission from COVID-19 Registry of Indian Council of Medical Research (ICMR), India. Prospectively collected data from participating institutions were entered into the electronic National Clinical Registry of COVID-19. We enrolled patients aged >18 years with COVID-19 pneumonia requiring ICU admission between March 2020 and August 2021. Exclusion criteria were negative in RT-PCR report, death within 24 hours of ICU admission, or incomplete data. Their demographic and laboratory variables, ICU severity indices, treatment strategies, and outcomes were analyzed. A total of 5,865 patients were enrolled. Overall mortality was 43.2%. Non-survivors were older (58.2 ± 15.4 vs 53.6 ± 14.7 years; p = 0.001), had multiple comorbidities (33.2% vs 29.5%, p = 0.001), had higher median D-dimer (1.56 vs 1.37, p = 0.015), higher CT severity index (16.8 ± 5.2 vs 13.5 ± 5.47, p = 0.001) and longer median hospital stay (10 vs 8 days, p = 0.001) and ICU stay (5 vs 4 days, p = 0.001), compared with survivors.On multivariate analysis, high CRP (HR 1.008, 95% CI: 1.006-1.010, p = 0.001) and high D-dimer (HR 1.089, 95% CI: 1.065-1.113, p < 0.001) were associated with invasive mechanical ventilation while older age (HR 1.19, CI: 1.001-1.038, p = 0.039) and high D-dimer (HR-1.121, CI: 1.072-1.172, p = 0.001) were independently associated with mortality and while the use of prophylactic low molecular weight heparin (LMWH) (HR 0.647, CI: 0.527-0.794, p = 0.001) lowered mortality. Among 5,865 COVID-19 patients admitted to ICU, mortality was 43.5%. High CRP and D-dimers were independently associated with the need for invasive mechanical ventilation while older age and high D-dimer were associated with higher mortality. The use of prophylactic LMWH independently reduced mortality. Kajal K, Singla K, Puri GD, Bhalla A, Mukherjee A, Kumar G, et al. Analysis of Predictors and Outcomes of COVID-19 Patients Requiring ICU Admission from COVID-19 Registry, India. Indian J Crit Care Med 2023;27(8):552-562.

Continuous and early prediction of future moderate and severe Acute Kidney Injury in critically ill patients: Development and multi-centric, multi-national external validation of a machine-learning model.

Acute Kidney Injury (AKI) is a major complication in patients admitted to Intensive Care Units (ICU), causing both clinical and economic burden on the healthcare system. This study develops a novel machine-learning (ML) model to predict, with several hours in advance, the AKI episodes of stage 2 and 3 (according to KDIGO definition) acquired in ICU. A total of 16'760 ICU adult patients from 145 different ICU centers and 3 different countries (US, Netherland, Italy) are retrospectively enrolled for the study. Every hour the model continuously analyzes the routinely-collected clinical data to generate a new probability of developing AKI stage 2 and 3, according to KDIGO definition, during the ICU stay. The predictive model obtains an auROC of 0.884 for AKI (stage 2/3 KDIGO) prediction, when evaluated on the internal test set composed by 1'749 ICU stays from US and EU centers. When externally tested on a multi-centric US dataset of 6'985 ICU stays and multi-centric Italian dataset of 1'025 ICU stays, the model achieves an auROC of 0.877 and of 0.911, respectively. In all datasets, the time between model prediction and AKI (stage 2/3 KDIGO) onset is at least of 14 hours after the first day of ICU hospitalization. In this study, a novel ML model for continuous and early AKI (stage 2/3 KDIGO) prediction is successfully developed, leveraging only routinely-available data. It continuously predicts AKI episodes during ICU stay, at least 14 hours in advance when the AKI episode happens after the first 24 hours of ICU admission. Its performances are validated in an extensive, multi-national and multi-centric cohort of ICU adult patients. This ML model overcomes the main limitations of currently available predictive models. The benefits of its real-world implementation enable an early proactive clinical management and the prevention of AKI episodes in ICU patients. Furthermore, the software could be directly integrated with IT system of the ICU.

Association between furosemide administration and clinical outcomes in patients with sepsis-associated acute kidney injury receiving renal replacement therapy: a retrospective observational cohort study based on MIMIC-IV database

ObjectiveTo investigate the association between furosemide administration and clinical outcomes in patients with sepsis-associated acute kidney injury (SAKI) receiving renal replacement therapy (RRT).DesignA retrospective observational cohort study.SettingThe data were collected...

The effect of oseltamivir use in critically ill patients with COVID-19: A multicenter propensity score-matched study

BackgroundOseltamivir has been used as adjunctive therapy in the management of patients with COVID-19. However, the evidence about using oseltamivir in critically ill patients with severe COVID-19 remains scarce. This study aims to evaluate the effectiveness and safety of oseltamivir in critically ill patients with COVID-19. MethodsThis multicenter, retrospective cohort study includes critically ill adult patients with COVID-19 admitted to the intensive care unit (ICU). Patients were categorized into two groups based on oseltamivir use within 48 hours of ICU admission (Oseltamivir vs. Control). The primary endpoint was viral load clearance. ResultsA total of 226 patients were matched into two groups based on their propensity score. The time to COVID-19 viral load clearance was shorter in patients who received oseltamivir (11 vs. 16 days, p = 0.042; beta coefficient: −0.84, 95%CI: (−1.33, 0.34), p = 0.0009). Mechanical ventilation (MV) duration was also shorter in patients who received oseltamivir (6.5 vs. 8.5 days, p = 0.02; beta coefficient: −0.27, 95% CI: [−0.55,0.02], P = 0.06). In addition, patients who received oseltamivir had lower odds of hospital/ventilator-acquired pneumonia (OR:0.49, 95% CI:(0.283,0.861), p = 0.01). On the other hand, there were no significant differences between the groups in the 30-day and in-hospital mortality. ConclusionOseltamivir was associated with faster viral clearance and shorter MV duration without safety concerns in critically ill COVID-19 patients.

Posttraumatic Stress Symptom Trajectories in Family Caregivers of Patients With Acute Cardiorespiratory Failure

Overall, 1 in 3 family caregivers of patients who require intensive care unit (ICU) admission will experience significant posttraumatic stress symptoms (PTSSs), but little is known about how PTSSs evolve over time. Measuring PTSS trajectories could facilitate the development of targeted interventions to improve mental health outcomes for family caregivers of critically ill patients. To measure 6-month PTSS trajectories among caregivers of patients with acute cardiorespiratory failure. This prospective cohort study was conducted in the medical ICU of a large academic medical center among adult patients requiring (1) vasopressors for shock, (2) high-flow nasal cannula, (3) noninvasive positive pressure ventilation, or (4) invasive mechanical ventilation. Each patient was enrolled along with their primary caregiver, ie, the unpaid individual who provided the most physical, emotional, or financial support prior to ICU admission. Family caregiver PTSSs were assessed using the Impact of Events Scale-Revised within 48 hours of ICU admission, following ICU discharge, and 3 and 6 months after enrollment. Latent class growth analysis was used to measure PTSS trajectories. Preselected patient and caregiver characteristics measured at ICU admission were analyzed for association with trajectory membership. Six-month patient and caregiver outcomes were analyzed by caregiver trajectory. Overall, 95 family caregivers were enrolled and provided baseline data; mean (SD) age was 54.2 (13.6) years, 72 (76%) were women, 22 (23%) were Black individuals, and 70 (74%) were White individuals. Three trajectories were identified: persistently low (51 caregivers [54%]), resolving (29 [31%]), and chronic (15 [16%]). Low caregiver resilience, prior caregiver trauma, high patient severity of illness, and good patient premorbid functional status were associated with the chronic trajectory. Caregivers with the chronic PTSS trajectory had worse 6-month health-related quality of life (mean [SD] total 36-item Short Form Survey score, persistently low trajectory: 104.7 [11.3]; resolving trajectory: 101.7 [10.4]; chronic trajectory: 84.0 [14.4]; P < .001) and reduced effectiveness at work (mean [SD] perceived effectiveness at work score, persistently low trajectory: 86.0 [24.2]; resolving trajectory: 59.1 [32.7]; chronic trajectory: 72.3 [18.4]; P = .009). In this study, 3 distinct PTSS trajectories among ICU family caregivers were observed, with 16% of caregivers experiencing chronic PTSSs over the subsequent 6 months. Family caregivers with persistent PTSS had lower resilience, prior trauma, higher patient severity of illness, and higher baseline patient functional status compared with family caregivers with persistently low PTSS, with adverse effects on quality of life and work. Identifying these caregivers is an essential first step to develop interventions tailored to those with the greatest need for support.

Rectus abdominis and rectus femoris muscle thickness in determining nutritional risk in critically ill patients: a prospective cohort study in Turkey

ObjectivesMalnutrition is a clinical condition that is frequently seen in critically ill patients in the intensive care unit (ICU). Although there are many scoring systems and tools used to determine...