Day Of Intensive Care Unit Admission Research Articles

Causes and prognosis analysis of hyperdynamic left ventricular ejection fraction in intensive care unit patients with sepsis

To analyze the causes of hyperdynamic left ventricular ejection fraction (LVEF) in sepsis patients in the intensive care unit (ICU) and its impact on prognosis. A retrospective cohort study was conducted. The clinical data of 273 sepsis patients admitted to the department of critical care medicine of the Affiliated People's Hospital of Jiangsu University from January 2018 to October 2021 were collected including gender, age, severity score, comorbidities, source of infection, vital signs, transthoracic echocardiographic (TTE) parameters, fluid intake and output, vasoactive drug dose, therapeutic measures and prognostic indicators. The patients were divided into normal LVEF group (LVEF 0.55-0.70), low LVEF group (LVEF < 0.55) and hyperdynamic LVEF group (LVEF > 0.70) according to the TTE examination results within 7 days of ICU admission. The clinical indicators among the three groups were compared and analyzed, and multivariate Logistic regression analysis was used to screen risk factors for the development of hyperdynamic LVEF in patients with sepsis. Spearman correlation analysis was used to determine the correlation between the mortality of different types of LVEF and clinical variables. Among 273 patients, 20 patients with severe valvular or cardiomyopathy at admission and those who did not completed cardiac ultrasound within 7 days of ICU admission were excluded. A total of 253 patients were finally enrolled, including 169 patients in the normal LVEF group, 40 patients in the low LVEF group, and 44 patients in the hyperdynamic LVEF group. There were statistically significant differences in age, sequential organ failure assessment (SOFA) score, central venous pressure (CVP), heart rate (HR), oxygenation index (PaO2/FiO2), blood lactate (Lac), urine output, vasoactive drug dose, ratio of hypertension, ischemic heart disease, chronic liver disease, cancer, invasive mechanical ventilation and renal replacement therapy (RRT), and incidence of septic shock among the different types of LVEF groups. TTE results analysis showed that the hyperdynamic LVEF group had higher stroke volume (SV) and cardiac index (CI) than those in the normal LVEF and low LVEF groups, lower systemic vascular resistance (SVR) than that in the normal LVEF and low LVEF groups, and an increased E/A ratio. The 90-day mortality in the hyperdynamic LVEF group was significantly higher than that in the normal LVEF and low LVEF groups [59.1% (26/44) vs. 24.9% (42/169), 32.5% (13/40), both P < 0.05]. Multivariate Logistic regression analysis showed that chronic liver disease [odds ratio (OR) = 1.712, 95% confidence interval (95%CI) was 0.912-3.234, P < 0.001], cancer (OR = 2.784, 95%CI was 1.296-6.151, P < 0.001), HR (OR = 1.026, 95%CI was 1.014-1.038, P < 0.001), vasoactive drug dose (OR = 1.133, 95%CI was 1.009-1.291, P < 0.001), and invasive mechanical ventilation (OR = 2.141, 95%CI was 1.285-3.651, P < 0.001) were independent factors for hyperdynamic LVEF in ICU sepsis patients. Correlation analysis showed that the mortality of hyperdynamic LVEF, normal LVEF and low LVEF patients was positively correlated with vasoactive drug dose (r value was 0.251, 0.361, 0.289, respectively, all P < 0.001). The mortality of the hyperdynamic LVEF patients was negatively correlated with SVR (r = -0.545, P < 0.001). Chronic liver disease, cancer, HR, vasoactive drugs dose, and invasive mechanical ventilation are independent risk factors for hyperdynamic LVEF in patients with sepsis. Hyperdynamic LVEF is positively associated with mortality in sepsis patients, which may be due to the the decrease of SVR caused by septic vascular paralysis.

Intensive Care Admissions and Outcome of Cardiac Arrests; A National Cohort Study From the United States.

Outcomes of cardiac arrest among patients who had cardiopulmonary resuscitation (CPR) in intensive care units (ICU) has limited data on the national level basis in the United States. We aimed to study the outcomes of ICU CPRs. Data from the national readmissions database (NRD) sample that constitutes 49.1% of the stratified sample of all hospitals in the United States were analyzed for ICU-related hospitalizations for the years 2016 to 2019. ICU CPR was defined by procedure codes. A total of 4,610,154 ICU encounters were reported for the years 2016 to 2019 in the NRD. Of these patients, 426,729 (9.26%) had CPR procedure recorded during the hospital encounter (mean age 65 ± 17.81; female 42.4%). And 167,597 (39.29%) patients had CPR on the day of admission, of which 63.16% died; while 64,752 (15.18%) patients had CPR on the day of ICU admission, of which 72.85% died. And 36,002 (8.44%) had CPR among patients with length of stay 2 days, of which 73.34% died. A total of 1,222,799 (26.5%) admitted to ICU died, and patients who had ICU CPR had higher mortality, 291,391(68.3%). Higher complication rates were observed among ICU CPR patients, especially who died. Over the years from 2016 to 2019, ICU CPR rates increased from 8.18% (2016) to 8.66% (2019); p-trend = 0.001. The mortality rates among patients admitted to ICU increased from 22.1% (2016) to 24.1% (2019); p-trend = 0.005. The majority of ICU CPRs were done on the first day of ICU admission. The trend for ICU CPR was increasing. The mortality trend for overall ICU admissions has increased, which is concerning and would suggest further research to improve the high mortality rates in the CPR group.

Associations of dipeptidyl-peptidase 3 with short-term outcome in a mixed admission ICU-cohort

PurposeBiomarkers independently associated with outcome of intensive care unit (ICU) patients can improve risk assessment. The cytosolic protease dipeptidyl-peptidase 3 (DPP3) is released into the circulation upon cell necrosis. We aimed to investigate the prognostic properties of cDPP3 in a mixed-admission ICU cohort. Materials and methodsProspective observational study in 650 adult ICU patients. cDPP3 concentrations were measured at ICU admission (day 1), and on days 2 and 3. ResultscDPP3 concentrations on days 1 and 2, but not on day 3 were associated with 28-day mortality; HR 1.36 (95%CI 1.01–1.83, p = 0.043) and HR 1.49 (95%CI 1.16–1.93, p = 0.002) for days 1 and 2, respectively. cDPP3 was also associated with acute kidney injury (AKI), with OR's of 1.31 (95%CI 1.05–1.64, p = 0.016), 1.87 (95%CI 1.51–2.34, p < 0.001) and 1.49 (95%CI 1.16–1.92, p = 0.002) for measurements performed on days 1, 2, and 3, respectively. In multivariate analyses including SOFA or APACHE-II scores, cDPP3 assessed at day 2 of admission remained an independent predictor of mortality and all-stage AKI. ConclusionsIn a mixed-ICU cohort, cDPP3 concentrations after start of initial treatment were independently associated with both mortality and development of AKI. Therefore, measurement of cDPP3 can improve risk-stratification provided by established disease severity scores.

DNA damage and changes in oxidized biomolecules in COVID-19 patients treated in intensive care units: a single center experience.

COVID-19 is a deadly disease. Investigations are being conducted on the underlying mechanisms to predict prognosis and reduce mortality rates. In this study, the extent of DNA damage and serum levels of oxidized biomolecules were investigated. We hypothesize that malondialdehyde (MDA) and protein carbonyl (PC) serum levels and DNA damage levels may be biomarkers that can be used in prognostic decision making and prediction of mortality in COVID-19 patients. Patients included in the study were divided into two groups according to their survival. These groups were compared in terms of serum MDA, PC levels, DNA damage degrees and mortality on the 1st, 3rd, and 5th days of ICU admission. In patients who died, MDA levels increased over time (p=0.023), PC levels peaked on the third day of admission to the intensive care units (ICU), and then decreased, while DNA damage increased gradually (p=0.013). In surviving patients, MDA levels decreased over time (p=0.018); PC levels were at their peak on the first day of admission to the ICU and then decreased (p=0.018); DNA damage decreased initially, and then increased minimally compared to Day 1. For COVID-19 ICU patients, serum levels of MDA and PC and degrees of DNA damage can strengthen prognostic decision-making and contribute to reducing mortality.

Prediction of In-hospital Mortality Among Intensive Care Unit Patients Using Modified Daily Laboratory-based Acute Physiology Score, Version 2.

Mortality prediction for intensive care unit (ICU) patients frequently relies on single ICU admission acuity measures without accounting for subsequent clinical changes. Evaluate novel models incorporating modified admission and daily, time-updating Laboratory-based Acute Physiology Score, version 2 (LAPS2) to predict in-hospital mortality among ICU patients. Retrospective cohort study. ICU patients in 5 hospitals from October 2017 through September 2019. We used logistic regression, penalized logistic regression, and random forest models to predict in-hospital mortality within 30 days of ICU admission using admission LAPS2 alone in patient-level and patient-day-level models, or admission and daily LAPS2 at the patient-day level. Multivariable models included patient and admission characteristics. We performed internal-external validation using 4 hospitals for training and the fifth for validation, repeating analyses for each hospital as the validation set. We assessed performance using scaled Brier scores (SBS), c -statistics, and calibration plots. The cohort included 13,993 patients and 107,699 ICU days. Across validation hospitals, patient-day-level models including daily LAPS2 (SBS: 0.119-0.235; c -statistic: 0.772-0.878) consistently outperformed models with admission LAPS2 alone in patient-level (SBS: 0.109-0.175; c -statistic: 0.768-0.867) and patient-day-level (SBS: 0.064-0.153; c -statistic: 0.714-0.861) models. Across all predicted mortalities, daily models were better calibrated than models with admission LAPS2 alone. Patient-day-level models incorporating daily, time-updating LAPS2 to predict mortality among an ICU population performs as well or better than models incorporating modified admission LAPS2 alone. The use of daily LAPS2 may offer an improved tool for clinical prognostication and risk adjustment in research in this population.

Data-driven approach to predicting the risk of pressure injury: A retrospective analysis based on changes in patient conditions.

To determine the risk of pressure injury development in the intensive care unit based on changes in patient conditions. This retrospective study was based on secondary data analysis. Patient data from electronic health records were retrospectively obtained and we included 438 and 1752 patients with and without pressure injury, respectively, among those admitted to the medical and surgical intensive care units (ICUs) from January 2017-February 2020. Changes in patient conditions were analysed based on the first and last objective data values from the day of ICU admission to the day before the onset of pressure injury and categorised as follows: improved, maintained normal, exacerbated and unchanged. Logistic regression was performed to identify the significant predictors of pressure injury development based on 11 variables. The 11 selected variables were age, body mass index, activity, acute physiology and chronic health evaluation II score, nursing severity level, pulse and albumin, haematocrit, C-reactive protein, total bilirubin and blood urea nitrogen levels. The risk for a pressure injury was high with exacerbation of or persistently abnormal levels of nursing severity, albumin, haematocrit, C-reactive protein, blood urea nitrogen and pulse >100 beat/min. Periodic monitoring of haematological variables is important for preventing pressure injury in the intensive care unit. The study followed STROBE guidelines. This study contributes to the utilisation of patient data from electronic health records. In addition to other pressure injury risk assessment tools, ICU nurses can help prevent pressure injuries by assessing patients' blood test results, thereby promoting patient safety and enhancing the efficacy of nursing practice.

Prediction model of in-hospital mortality in intensive care unit patients with cardiac arrest: a retrospective analysis of MIMIC -IV database based on machine learning

BackgroundBoth in-hospital cardiac arrest (IHCA) and out-of-hospital cardiac arrest (OHCA) have higher incidence and lower survival rates. Predictors of in-hospital mortality for intensive care unit (ICU) admitted cardiac arrest (CA) patients remain unclear.MethodsThe Medical Information Mart for Intensive Care IV (MIMIC-IV) database was used to perform a retrospective study. Patients meeting the inclusion criteria were identified from the MIMIC-IV database and randomly divided into training set (n = 1206, 70%) and validation set (n = 516, 30%). Candidate predictors consisted of the demographics, comorbidity, vital signs, laboratory test results, scoring systems, and treatment information on the first day of ICU admission. Independent risk factors for in-hospital mortality were screened using the least absolute shrinkage and selection operator (LASSO) regression model and the extreme gradient boosting (XGBoost) in the training set. Multivariate logistic regression analysis was used to build prediction models in training set, and then validated in validation set. Discrimination, calibration and clinical utility of these models were compared using the area under the curve (AUC) of the receiver operating characteristic (ROC) curves, calibration curves and decision curve analysis (DCA). After pairwise comparison, the best performing model was chosen to build a nomogram.ResultsAmong the 1722 patients, in-hospital mortality was 53.95%. In both sets, the LASSO, XGBoost,the logistic regression(LR) model and the National Early Warning Score 2 (NEWS 2) models showed acceptable discrimination. In pairwise comparison, the prediction effectiveness was higher with the LASSO,XGBoost and LR models than the NEWS 2 model (p < 0.001). The LASSO,XGBoost and LR models also showed good calibration. The LASSO model was chosen as our final model for its higher net benefit and wider threshold range. And the LASSO model was presented as the nomogram.ConclusionsThe LASSO model enabled good prediction of in-hospital mortality in ICU admission CA patients, which may be widely used in clinical decision-making.

Nutrition delivery across hospitalisation in critically ill patients with COVID-19: An observational study of the Australian experience

BackgroundData on nutrition delivery over the whole hospital admission in critically ill patients with COVID-19 are scarce, particularly in the Australian setting. ObjectivesThe objective of this study was to describe nutrition delivery in critically ill patients admitted to Australian intensive care units (ICUs) with coronavirus disease 2019 (COVID-19), with a focus on post-ICU nutrition practices. MethodsA multicentre observational study conducted at nine sites included adult patients with a positive COVID-19 diagnosis admitted to the ICU for >24 h and discharged to an acute ward over a 12-month recruitment period from 1 March 2020. Data were extracted on baseline characteristics and clinical outcomes. Nutrition practice data from the ICU and weekly in the post-ICU ward (up to week four) included route of feeding, presence of nutrition-impacting symptoms, and nutrition support received. ResultsA total of 103 patients were included (71% male, age: 58 ± 14 years, body mass index: 30±7 kg/m2), of whom 41.7% (n = 43) received mechanical ventilation within 14 days of ICU admission. While oral nutrition was received by more patients at any time point in the ICU (n = 93, 91.2% of patients) than enteral nutrition (EN) (n = 43, 42.2%) or parenteral nutrition (PN) (n = 2, 2.0%), EN was delivered for a greater duration of time (69.6% feeding days) than oral and PN (29.7% and 0.7%, respectively). More patients received oral intake than the other modes in the post-ICU ward (n = 95, 95.0%), and 40.0% (n = 38/95) of patients were receiving oral nutrition supplements. In the week after ICU discharge, 51.0% of patients (n = 51) had at least one nutrition-impacting symptom, most commonly a reduced appetite (n = 25; 24.5%) or dysphagia (n = 16; 15.7%). ConclusionCritically ill patients during the COVID-19 pandemic in Australia were more likely to receive oral nutrition than artificial nutrition support at any time point both in the ICU and in the post-ICU ward, whereas EN was provided for a greater duration when it was prescribed. Nutrition-impacting symptoms were common.

Association between hyperuricemia and acute kidney injury in critically ill patients with sepsis

BackgroundSepsis-related AKI is related to short-term mortality and poor long-term prognoses, such as chronic renal insufficiency, late development of end-stage renal disease, and long-term mortality. In this study, we aimed to investigate the association of hyperuricemia with acute kidney injury (AKI) in patients with sepsis.MethodsThe retrospective cohort study included 634 adult sepsis patients hospitalized in the intensive care unit (ICU) of the First Affiliated Hospital of Guangxi Medical University from March 2014 to June 2020 and the ICU of the Second Affiliated Hospital of Guangxi Medical University from January 2017 to June 2020. Based on the first serum uric acid level within 24 h of admission to the ICU, patients were divided into groups with or without hyperuricemia, and the incidence of AKI within seven days of ICU admission was compared between the two groups. The univariate analysis analyzed the effect of hyperuricemia on sepsis-related AKI, and the multivariable logistic regression model analysis was used.ResultsAmong the 634 patients with sepsis, 163 (25.7%) developed hyperuricemia, and 324 (51.5%) developed AKI. The incidence of AKI in the groups with and without hyperuricemia was 76.7% and 42.3%, respectively, with statistically significant differences (2 = 57.469, P < 0.001). After adjusting for genders, comorbidities (coronary artery disease), organ failure assessment (SOFA) score on the day of admission, basal renal function, serum lactate, calcitonin, and mean arterial pressure, hyperuricemia was showed to be an independent risk factor for AKI in patients with sepsis (OR = 4.415, 95%CI 2.793 ~ 6.980, P < 0.001). For every 1 mg/dL increase in serum uric acid in patients with sepsis, the risk of AKI increased by 31.7% ( OR = 1.317, 95%CI 1.223 ~ 1.418, P < 0.001).ConclusionAKI is a common complication in septic patients hospitalized in the ICU, and hyperuricemia is an independent risk factor for AKI in septic patients.

Dose-response association between fluid overload and hospital mortality in patients with sepsis

Objective: To investigate dose-response associations between fluid overload (FO) and hospital mortality in patients with sepsis. Methods: The current cohort study was prospective and multicenter. Data were derived from the China Critical Care Sepsis Trial, which was conducted from January 2013 to August 2014. Patients aged≥18 years who were admitted to intensive care units (ICUs) for at least 3 days were included. Fluid input/output, fluid balance, fluid overload (FO), and maximum FO (MFO) were calculated during the first 3 days of ICU admission. The patients were divided into three groups based on MFO values: MFO<5%L/kg, MFO 5%-10%L/kg, and MFO≥10% L/kg. Kaplan-Meier analysis was used to predict time to death in hospital in the three groups. Associations between MFO and in-hospital mortality were evaluated via multivariable Cox regression models with restricted cubic splines. Results: A total of 2 070 patients were included in the study, of which 1 339 were male and 731 were female, and the mean age was (62.6±17.9) years. Of 696 (33.6%) who died in hospital, 968 (46.8%) were in the MFO<5%L/kg group, 530 (25.6%) were in the MFO 5%-10%L/kg group, and 572 (27.6%) were in the MFO≥10%L/kg group. Deceased patients had significantly higher fluid input than surviving patients during the first 3 days [7 642.0 (2 874.3, 13 639.5) ml vs. 5 738.0 (1 489.0, 7 153.5)ml], and lower fluid output [4 086.0 (1 367.0, 6 354.5) ml vs. 6 130.0 (2 046.0, 11 762.0) ml]. The cumulative survival rates in the three groups gradually decreased with length of ICU stay, and they were 74.9% (725/968) in the MFO<5% L/kg group, 67.7% (359/530) in the MFO 5%-10%L/kg group, and 51.6% (295/572) in the MFO≥10%L/kg group. Compared with the MFO<5%L/kg group, the MFO≥10%L/kg group had a 49% increased risk of inhospital mortality (HR=1.49, 95%CI 1.28-1.73). For each 1% L/kg increase in MFO, the risk of in-hospital mortality increased by 7% (HR=1.07, 95% CI 1.05-1.09). There was a"J-shaped"non-linear association between MFO and in-hospital mortality with a nadir of 4.1% L/kg. Conclusion: Higher and lower optimum fluid balance levels were associated with an increased risk of in-hospital mortality, as reflected by the observed J-shaped non-linear association between fluid overload and inhospital mortality.

Diagnostic and prognostic value of neutrophil CD64, IL-6, and PCT in ICU patients with sepsis

To explore the significance of neutrophil CD64 (nCD64), interleukin-6 (IL-6), and procalcitonin (PCT) alone and in combination in the diagnosis and prognosis evaluation of patients with sepsis. A prospective study was conducted. Adult patients admitted to the Western Intensive Care Unit (ICU) of Yantai Yuhuangding Hospital Affiliated to Medical College of Qingdao University from September 2020 to October 2021 were selected as subjects. The venous blood of the selected patients was collected within 6 hours of entering the ICU to measure the levels of nCD64, IL-6 and PCT. The levels of nCD64, IL-6 and PCT of septic patients were measured again on the 3rd and 7th days after admission to ICU. According to the diagnostic criteria of Sepsis-3, the patients were divided into sepsis group and non-sepsis group to evaluate the diagnostic value of nCD64, IL-6 and PCT in sepsis. The patients with sepsis were divided into sepsis group and septic shock group according to their condition on admission to ICU, and the evaluation value of three biomarkers for sepsis was evaluated. Sepsis patients were divided into the survival group and the death group according to survival after 28 days, and the relationship between the three biomarkers and the prognosis of sepsis was evaluated. Finally, 47 patients with sepsis, 43 patients with septic shock, and 41 patients without sepsis were enrolled. Seventy-six patients with sepsis survived and 14 died after 28 days. (1) The levels of nCD64, IL-6 and PCT on the first day of ICU admission in the sepsis group were significantly higher than those in the non-sepsis group [nCD64: 26.95 (14.05, 86.18) vs. 3.10 (2.55, 5.10), IL-6 (ng/L): 93.45 (52.73, 246.30) vs. 34.00 (9.76, 62.75), PCT (μg/L): 6.63 (0.57, 68.50) vs. 0.16 (0.08, 0.35), all P < 0.01]. The receiver operator characteristic curve (ROC curve) showed that the area under curve (AUC) of nCD64, IL-6 and PCT in the diagnosis of sepsis were 0.945, 0.792 and 0.888, respectively. The diagnostic value of nCD64 was the highest. When the cut-off value of nCD64 was 7.45, the sensitivity and specificity were 92.2% and 95.1% respectively. When nCD64, IL-6 and PCT were diagnosed in pairs or in combination, the combination of the three had the highest diagnostic performance, with AUC of 0.973, sensitivity of 92.2% and specificity of 97.6%. (2) The levels of nCD64, IL-6 and PCT in septic shock group were higher than those in sepsis group on the 1st, 3rd and 7th day after admission to ICU. ROC curve analysis showed that nCD64, IL-6 and PCT had some accuracy in evaluating the severity of sepsis on the 1st, 3rd and 7th day after entering ICU, with AUC ranging from 0.682 to 0.777. (3) The levels of nCD64, IL-6 and PCT in the death group were significantly higher than those in the survival group. Except for the nCD64 and PCT values on the first day after admission to the ICU, there were significant differences between the two groups in all indicators at other time points. ROC curve analysis showed that the AUC of nCD64, IL-6 and PCT predicting the prognosis of sepsis at each time point ranged from 0.600 to 0.981. The clearance rates of nCD64, IL-6 and PCT at 3 and 7 days after ICU admission were calculated by dividing the difference between the 1st and 3rd or 7th days after entering the ICU by the value at the 1st day. Logistic regression was used to analyze their predictive value for the prognosis of sepsis. The results showed that the clearance rates of nCD64, IL-6 and PCT on the 3rd and 7th day of ICU were protective factors for 28-day mortality in patients with sepsis, except the clearance rate of IL-6 on the 7th day. nCD64, IL-6 and PCT have good value as biomarkers for the diagnosis of sepsis. The diagnostic value of nCD64 is higher than that of PCT and IL-6. When they are used together, the diagnostic value is the highest. nCD64, IL-6 and PCT have certain value in evaluating the severity and predicting the prognosis of patients with sepsis. The higher the clearance rate of nCD64, IL-6 and PCT, the lower the 28-day mortality risk of patients with sepsis.

ANALYSIS OF THE RELATIONSHIP BETWEEN EARLY SERUM PHOSPHATE LEVELS AND SHORT-TERM MORTALITY IN SEPTIC PATIENTS: A RETROSPECTIVE STUDY BASED ON MIMIC-IV.

Objective: The aim of the study is to explore the impact of early serum phosphate levels on the prognosis of critically ill patients with sepsis. Methods: In this retrospective large cohort study, data of patients with sepsis were obtained from the Medical Information Mart for Intensive Care IV database. Patients were retrospectively divided into a control group and three study groups according to their daily serum phosphate levels within 2 days of intensive care unit (ICU) admission. A Cox regression model was used to evaluate the association between serum phosphate levels and 28-day morbidity. Results: This study included 9,691 patients diagnosed with sepsis. During the first 2 days of ICU admission, patients with hyperphosphatemia in either of the 2 days had higher 28-day mortality, while patients in the hypophosphatemia group had lower 28-day mortality (first day, 32.9% vs. 16.3%; second day, 36.3% vs. 14.7%). After adjusting for potential confounders, hyperphosphatemia was significantly associated with 28-day mortality; however, only hypophosphatemia on the second day was independently associated with reduced 28-day mortality. After stratification in the hypophosphatemia group, subgroup analysis showed that only the association between the mild hypophosphatemia group and 28-day mortality reached statistical significance (hazard ratio = 0.76, 95% CI = 0.65-0.89, P = 0.001). Conclusions: Mild hypophosphatemia might improve the short-term prognosis of patients with sepsis, and hyperphosphatemia is an independent risk factor for the outcomes of septic patients. After ICU admission, the serum phosphate levels on the second day had a better independent correlation with 28-day mortality, which prompted us to reconsider the optimal timing of phosphate evaluation.

Association of Dexmedetomidine With New-Onset Atrial Fibrillation in Patients With Critical Illness

Dexmedetomidine is a widely used sedative in the intensive care unit (ICU) and has unique properties that may be associated with reduced occurrence of new-onset atrial fibrillation (NOAF). To investigate whether the use of dexmedetomidine is associated with the incidence of NOAF in patients with critical illness. This propensity score-matched cohort study was conducted using the Medical Information Mart for Intensive Care-IV database, which includes records of patients admitted to the ICU at Beth Israel Deaconess Medical Center in Boston dating 2008 through 2019. Included patients were those aged 18 years or older and hospitalized in the ICU. Data were analyzed from March through May 2022. Patients were divided into 2 groups according to dexmedetomidine exposure: those who received dexmedetomidine within 48 hours after ICU admission (dexmedetomidine group) and those who never received dexmedetomidine (no dexmedetomidine group). The primary outcome was the occurrence of NOAF within 7 days of ICU admission, as defined by the nurse-recorded rhythm status. Secondary outcomes were ICU length of stay, hospital length of stay, and in-hospital mortality. This study included 22 237 patients before matching (mean [SD] age, 65.9 [16.7] years; 12 350 male patients [55.5%]). After 1:3 propensity score matching, the cohort included 8015 patients (mean [SD] age, 61.0 [17.1] years; 5240 males [65.4%]), among whom 2106 and 5909 patients were in the dexmedetomidine and no dexmedetomidine groups, respectively. Use of dexmedetomidine was associated with a decreased risk of NOAF (371 patients [17.6%] vs 1323 patients [22.4%]; hazard ratio, 0.80; 95% CI, 0.71-0.90). Although patients in the dexmedetomidine group had longer median (IQR) length of stays in the ICU (4.0 [2.7-6.9] days vs 3.5 [2.5-5.9] days; P < .001) and hospital (10.0 [6.6-16.3] days vs 8.8 [5.9-14.0] days; P < .001), dexmedetomidine was associated with decreased risk of in-hospital mortality (132 deaths [6.3%] vs 758 deaths [12.8%]; hazard ratio, 0.43; 95% CI, 0.36-0.52). This study found that dexmedetomidine was associated with decreased risk of NOAF in patients with critical illness, suggesting that it may be necessary and warranted to evaluate this association in future clinical trials.

Could Basal Uric Acid Levels Be an Important Biomarker for Prediction of Acute Renal Injury in Patients With Sepsis in the Intensive Care Unit?

Background: Sepsis is an important risk factor for the development of acute renal injury (ARI) among patients admitted to the intensive care unit (ICU). There are limited studies showing that increased uric acid level is an important risk factor for the development of ARI. The present study was carried out to find out whether increased basal uric acid levels play an important role in predicting the development of ARI and whether it could be used as a biomarker for this. Materials and Methods: This retrospective study included patients aged≥18 years who were admitted to the ICU of Yüzüncü Yıl University Medical Faculty Hospital from September 2018 to December 2020. Group 1 comprised 100 patients developing ARI and group 2 comprised 110 patients who did not develop ARI. Laboratory test values and Simplified Acute Physiologic Score II (SAPS II) data on the first day of ICU admission were obtained from archive records. Results: During the 10-day follow-up of patients included in the study, the ARI development rate was 57.3%. Basal serum uric acid levels were higher in group 1 compared to group 2 (P=0.001). Based on the results of the multivariate logistic regression analysis, basal serum uric acid values and albumin and SAPS II values had independent correlations with ARI (P&lt;0.001). Conclusion: We believe that increased basal uric acid levels examined in patients admitted to the ICU with sepsis diagnosis may be an important biomarker for the prediction of ARI.

Macronutrient intake and outcomes of ICU patients with refeeding hypophosphatemia

Normocaloric vs. calorie-restricted feeding in Intensive Care Unit (ICU) patients with refeeding hypophosphatemia (RH) is associated with increased mortality rates. Until now, only total energy provision has been studied. Data on individual macronutrients (proteins, lipids, and carbohydrates) and clinical outcomes are lacking. This study evaluates associations between macronutrient intake among RH patients during the first week of ICU admission and clinical outcomes. A single-centre retrospective observational cohort study was conducted among prolonged mechanically ventilated RH ICU patients. The primary outcome was the association of separate macronutrient intakes during the first week of ICU admission with 6-month mortality, adjusted for relevant variables. Other parameters included ICU-, hospital- and 3-month mortality, mechanical ventilation duration and length of ICU and hospital stay. Macronutrient intakes were subsequently analyzed during day 1-3 and day 4-7 of ICU admission. In total, 178 RH patients were included. Six-month all-cause mortality was 29.8%. Higher protein intake during days 1-3 of ICU admission (>0.71g/kg∗day; HR 2.224, 95%CI 1.261-3.923, p=0.006), higher age (HR 1.040, 95%CI 1.015-1.066, p=0.002) and higher APACHE II scores on ICU admission (HR 1.086, 95%CI 1.034-1.140, p=0.001) were associated with increased 6-month mortality. No differences in other outcomes were observed. High protein - not carbohydrate or lipid - intake during the first three days of ICU admission in patients with RH is associated with increased 6-month mortality, but not short-term outcomes. We hypothesize a time-dependent and dose-response relationship between protein intake and mortality in refeeding hypophosphatemia ICU patients, although additional (randomized controlled) studies are needed to confirm this hypothesis.

Association between Gastrointestinal Dysfunction Score (GIDS) and disease severity and prognosis in critically ill patients: A prospective, observational study

Recently, the Gastrointestinal Dysfunction Score (GIDS) was developed for use with critically ill patients. This study evaluated the association of GIDS with disease severity and clinical outcomes to assess the technical feasibility of using GIDS to reflect the severity and short-term prognosis of critically ill patients. Association between Gastrointestinal Dysfunction Score (GIDS) and disease severity and prognosis in critically ill patients: A prospective, observational study. This was a prospective observational study involving adult patients in two Intensive Care Units (ICUs). During the first seven days of ICU admission, GIDS, acute gastrointestinal injury (AGI), Acute Physiology and Chronic Health Evaluation II (APACHE II), and Sequential Organ Failure Assessment (SOFA) scores were assessed daily. A total of 276 patients from two centers were enrolled in this study. Patients were divided into GIDS 0-1 (121, 43.8%) and GIDS 2-4 (155, 56.2%). The ICU length of stay and 28-day mortality in the GIDS 2-4 group were significantly higher than the GIDS 0-1 group (P=0.032, P=0.001, respectively). The APACHE II and SOFA scores in the GIDS 2-4 group were also significantly higher (P<0.001). The ROC curves of GIDS, AGI, APACHE II, and SOFA scores on the first day of ICU admission for the prediction of 28-day mortality showed that the AUC of GIDS was 0.702 (95%CI 0.628, 0.775; P<0.001). The AUC for GIDS+SOFA was 0.719 (95%CI 0.648, 0.790; P<0.001), compared with SOFA alone (AUC=0.703), showing improved predictive power for 28-day mortality. GIDS represents a step toward a reliable clinical tool for GI dysfunction to assess disease severity and short-term prognosis in critically ill patients. In addition, combining GIDS with SOFA score may better predict mortality risk compared to SOFA score alone.

Prognostic factors for patients with hematologic malignancies admitted to the intensive care unit: is allogeneic transplantation still a risk factor?

The rate of intensive care unit (ICU) mortality in patients with hematologic malignancies is high. The risk factors for this were inconsistent across several previous studies, and there is currently no accepted consensus around risk factors for these patients. We aimed to identify which prognostic factors were associated with ICU mortality in critically ill patients with hematologic malignancies, nearly half of which were allogeneic hematopoietic stem cell transplantation (allo-HSCT) recipients. In addition, we aimed to compare the characteristics and clinical outcomes of patients with and without allogenic allo-HSCT. In total, 217 patients with hematologic malignancies were enrolled consecutive, 119 (54.8%) of whom underwent HSCT (allo-HSCT: n = 115). All survivors were followed up with until August 1, 2022. The rate of ICU mortality in this cohort was 54.4%: 55.5 and 53.1% for the patients with and without HSCT, respectively (p = 0.724). The probabilities of survival after ICU admission were also comparable between the patients who had allo-HSCT and those who did not. A multivariable analysis revealed that cerebrovascular disease, hyperlactic acidemia on the day of ICU admission, lower platelet count, use of vasoactive drugs, and absence of noninvasive ventilation on the day of ICU admission were independent risk factors for ICU mortality. For patients with three to five of these risk factors, the rate of ICU mortality was as high as 84.6%, which was significantly higher than that of other patients. In this study, the ICU mortality rate in patients with hematologic malignancies was still high, particularly for those with multiple risk factors. However, allo-HSCT was not found to be a risk factor for ICU mortality.

Possible Colchicine Poisoning: Case Study

We have experienced a case of colchicine toxicity presenting with rapidly progressive gastrointestinal symptoms, hemodynamic instability, and multiple organ failure.&#x0D; An 86-year-old Japanese man presented to our hospital with subarachnoidal hemorrhage transferring from another hospital where he had been treated with colchicine 0.5 mg three times daily for an elevated uric acid level. During his admission, he had a nosocomial COVID-19 infection. Then, he developed loss of appetite, and significant diarrhea, which continued for two days. He then developed shock and hypoxia and was transferred to intensive care unit (ICU). The laboratory data revealed pancytopenia, acute kidney injury, lactic acidosis, marked coagulopathy, elevated troponin I, and C-reactive protein with poor cardiac function and hypotension refractory to vasopressors. Despite intensive care, he expired on 2nd day of ICU admission. Because his cardiac function was depressed from the beginning and was not respond to inotropic support, direct myocardial damage, rather than septic cardiomyopathy was suspected. We, therefore, emphasize that colchicine poisoning should be suspected in patients with access to the drug and the typical toxidrome.

Antimicrobial drug utilization pattern in a tertiary level intensive care unit in Northern India: Antimicrobial Stewardship Programme need of the hour

Background: Antimicrobial drugs are the most frequently prescribed drugs in hospital settings with intensive care unit (ICU) patients showing the highest consumption of these drugs. Antimicrobial overuse and misuse is attributed to antimicrobial resistance (AMR). AMR in coming years will emerge as a global pandemic, maiming the modern health-care system. High consumption of antimicrobial drugs is one of leading factors contributing to AMR. Aims and Objectives: This study aimed at evaluating the prescription pattern of antimicrobial drugs in ICU and estimates the burden of inappropriate antimicrobial drug utilization in ICU settings of a tertiary level teaching hospital. Materials and Methods: The current study was conducted on 100 patients over a period of 6 months, admitted in surgical ICU (SICU), and neuro SICU (NICU) of a tertiary level hospital in Jammu and Kashmir, India. Study patients were identified through daily review of pharmacy records and antimicrobial drugs prescribed for the initial 5 days of ICU admission were documented in a well-designed questionnaire consisting all the necessary information regarding antibiotic therapy. Results: Out of the 100 enrolled study subjects, 98% received an empiric therapy. Majority of the patients were given a combination antimicrobial therapy during the initial 5 days of ICU admission. The most common antibiotic prescribed as monotherapy was ceftriaxone during the initial 2 days of ICU stay followed by piperacillin-tazobactam and meropenem in the next 3 days. Amikacin was the most frequently prescribed antibiotic in combination therapy during first 2 days followed by vancomycin in the consecutive days. A total of 27 antimicrobial drugs belonging to 15 classes were prescribed to the study participants during the initial 5 days of ICU admission. Conclusion: The study reports a very high consumption of antimicrobial drugs in ICUs with maximum of antimicrobial therapies prescribed empirically. A robust action plan, consisting of proper protocol for prescribing empiric antimicrobials, regular monitoring of antibiotic consumption in ICUs with a system of prospective audit, and feedback and timely interventions are a keystone of good antibiotic stewardship and should be the focus in ICU and NICU.

The Effect of Oxygenation on Mortality in Patients With Head Injury.

Introduction In this study, we planned to investigate the effect of hyperoxygenation on mortality and morbidity in patients with head trauma who were followed and treated in the intensive care unit (ICU). Methods Head trauma cases (n = 119) that were followed in the mixed ICU of a 50-bed tertiary care center in Istanbul between January 2018 and December 2019 were retrospectively analyzed for the negative effects of hyperoxia. Age, gender, height/weight, additional diseases, medications used, ICU indication, Glasgow Coma Scale score recorded during ICU follow-up, Acute Physiology and Chronic Health Evaluation (APACHE) II score, length of hospital/ICU stay, the presence of complications, number of reoperations, length of intubation, and the patient's discharge or death status were evaluated. The patients were divided into three groups according to the highest partial pressure of oxygen (PaO2) value (200 mmHg) in the arterial blood gas (ABG) taken on the first day of admission to the ICU, and ABGs on the day of ICU admission and discharge were compared. Results In comparison, the first arterial oxygen saturation and initial PaO2 mean values were found to be statistically significantly different. There was a statistically significant difference in mortality and reoperation rates between groups. The mortality was higher in groups 2 and 3, and the rate of reoperation was higher in group 1. Conclusion In our study, mortality was found to be high in groups 2 and 3, which we considered hyperoxic. In this study, we tried to draw attention to the negative effects of common and easily administered oxygen therapy on mortality and morbidity in ICU patients.