Effect of cortisol and glycosylated-hemoglobin levels on mortality in intensive care unit.

OBJECTIVES: To research the effects of blood cortisol and hemoglobinA1c (HBA1C) levels on mortality in patients admitted to the intensive care unit (ICU) and whether these factors could be used as reliable indicators for mortality risk assessment in these patients. METHODS: After receiving approval from the ethics committee, 79 patients admitted to ICU were included in the study. From patient files, we collected data on demographics (age, gender), presence of diabetes mellitus, and levels of cortisol, HbA1C, glucose, and lactate measured during hospitalization, along with acute physiology and chronic health evaluation (APACHE) II scores calculated within the first 24 hours. In our study, we planned to investigate the relationship between patients' cortisol and HbA1C levels and mortality. RESULTS: A total of 79 patients were included in the study. The mortality rate of the patients included in the study was 65.8%. In the model established with all variables, only cortisol level (p=0.017) and APACHE II score (p=0.005) were defined to affect mortality. CONCLUSION: Cortisol levels at the time of admission to the ICU were found to affect mortality and can be considered a predictive factor, while HBA1C levels showed no such effect. Our findings indicate that neither cortisol nor HBA1C levels had an impact on the duration of mechanical ventilation or length of stay in the ICU.

Correlation Between Early Serum Myoglobin Levels and the Incidence and Prognosis of Intensive Care Unit-Acquired Weakness (ICU-AW) in Septic Shock Patients: A Comparative Study.

Intensive Care Unit-acquired weakness (ICU-AW) is a common complication that significantly impedes patient recovery. In the study, we investigated the correlation between early serum myoglobin levels in patients with septic shock due to pneumonia, and the incidence of ICU-AW, duration of mechanical ventilation, and prognosis. Patients were classified based on the development of ICU-AW within the first 10 days of ICU admission. We measured serum myoglobin levels upon ICU entry, and analyzed demographic data, APACHE II scores, use of mechanical ventilation, and clinical outcomes, including mortality and duration of mechanical ventilation. The results indicated significantly elevated serum myoglobin levels in the ICU-AW group, correlated with prolonged mechanical ventilation and increased mortality. ROC analysis revealed myoglobin as a promising biomarker for predicting ICU-AW, with an area under the curve of 0.843 (95% CI: 0.819~0.867), demonstrating a sensitivity of 76.00% and specificity of 82.30%. These findings underscored serum myoglobin as a predictive biomarker for early ICU-AW in septic shock patients, highlighting its potential to guide clinical decision-making.

The impact of skeletal muscle index at the third lumbar spine on nosocomial deterioration and short-term prognosis in acute pancreatitis: a retrospective observational study.

Objective: To investigate the impact of the third lumbar skeletal muscle index (L3-SMI) assessed by CT on the in-hospital severity and short-term prognosis of acute pancreatitis. Methods: A total of 224 patients with severe acute pancreatitis admitted to Yantaishan Hospital from January 2021 to June 2022 were selected as the subjects. Based on the in-hospital treatment outcomes, they were divided into a mortality group of 59 cases as well as a survival group of 165 cases. Upon admission, general information such as the Acute Physiology and Chronic Health Evaluation II (APACHE II) score, along with the abdominal CT images of each patient, were analyzed. The L3-SMI was calculated, and the Modified CT Severity Index (MCTSI) and Balthazar CT grade were used to assess the severity of in-hospital complications of acute pancreatitis. The evaluation value of L3-SMI for the prognosis of severe acute pancreatitis was analyzed, as well as the factors influencing the prognosis of severe acute pancreatitis. Results: No statistically significant differences in gender, age, BMI, etiology, duration of anti-inflammatory drug use, and proportion of surgical patients between the survival and mortality groups were observed. But the mortality group showed higher proportions of patients with an elevated APACHE II score upon admission, mechanical ventilation, and renal replacement therapy, compared to the survival group, with statistically significant differences (P < 0.001). Furthermore, the mortality group had higher MCTSI scores (6.42 ± 0.69) and Balthazar CT grades (3.78 ± 0.45) than the survival group, with statistically significant differences (P < 0.001). The mortality group also had a lower L3-SMI (39.68 ± 3.25) compared to the survival group (42.71 ± 4.28), with statistically significant differences (P < 0.001). L3-SMI exhibited a negative correlation with MCTSI scores and Balthazar CT grades (r = -0.889, -0.790, P < 0.001). Logistic regression analysis, with mortality of acute pancreatitis patients as the dependent variable and MCTSI scores, Balthazar CT grades, L3-SMI, APACHE II score upon admission, mechanical ventilation, and renal replacement therapy as independent variables, revealed that MCTSI scores and L3-SMI were risk factors for mortality in acute pancreatitis patients (P < 0.001). Logistic regression analysis using the same variables confirmed that all these factors were risk factors for mortality in acute pancreatitis patients. Conclusion: This study confirmed that diagnosing muscle depletion using L3-SMI is a valuable radiological parameter for predicting in-hospital severity and short-term prognosis in patients with acute pancreatitis.

[Research progress in emergency assessment of acute poisoning].

Acute poisoning represents a prevalent critical illness jeopardizing patient survival. Early, precise assessment of the condition and subsequent appropriate therapeutic intervention are pivotal in enhancing treatment success rates. Currently, a standardized approach to evaluating the severity of acute poisoning is lacking. Various scoring systems, including Poisoning Severity Score (PSS) , Modified Early Warning Score (MEWS) , and Acute Physiology and Chronic Health Evaluation Ⅱ (APACHE Ⅱ) , offer valuable insights into acute poisoning assessment. Nevertheless, the distinct attributes of each scoring system constrain their broad clinical utility. Confronted with the intricate clinical demands of acute poisoning, the adoption of staged and dynamic assessment strategies is imperative to ascertain the condition of acute poisoning patients with greater accuracy.

Shenkang injection for the treatment of acute kidney injury: a systematic review and meta-analysis.

OBJECTIVE: Shenkang injection (SKI) has been widely used in China for many years for the treatment of kidney disease. The objective of this systematic review was to assess the efficacy of Shenkang injection for the treatment of acute kidney injury (AKI). METHODS: A search was conducted across seven databases, encompassing data from the inception of each database through October 8th, 2023. Randomized controlled trials comparing SKI-treated AKI patients with control subjects were extracted. The main outcome measure was serum creatinine (SCr) levels. Secondary outcomes included blood urea nitrogen (BUN), serum cystatin C (CysC), 24-h urine protein (24 h-Upro) levels, APACHE II score and adverse reactions. RESULTS: This meta-analysis included eleven studies, and the analysis indicated that, compared with the control group, SKI significantly decreased SCr [WMD = -23.31, 95% CI (-28.06, -18.57); p < 0.001]; BUN [WMD = -2.07, 95% CI (-2.56, -1.57); p < 0.001]; CysC [WMD = -0.55, 95% CI (-0.78, -0.32), p < 0.001]; 24-h urine protein [WMD = -0.43, 95% CI (-0.53, -0.34), p < 0.001]; and the APACHE II score [WMD = -3.07, 95% CI (-3.67, -2.48), p < 0.001]. There was no difference in adverse reactions between the SKI group and the control group [RR = 1.32, 95% CI (0.66, 2.63), p = 0.431]. CONCLUSION: The use of SKI in AKI patients may reduce SCr, BUN, CysC, 24-h Upro levels, and APACHE II scores in AKI patients. The incidence of adverse reactions did not differ from that in the control group. Additional rigorous clinical trials will be necessary in the future to thoroughly evaluate and establish the effectiveness of SKI in the treatment of AKI.

The laboratory parameters-derived CoLab score as an indicator of the host response in ICU COVID-19 patients decreases over time: a prospective cohort study.

The CoLab score was developed and externally validated to rule out COVID-19 among suspected patients presenting at the emergency department. We hypothesized a within-patient decrease in the CoLab score over time in an intensive care unit (ICU) cohort. Such a decrease would create the opportunity to potentially rule out the need for isolation when the infection is overcome. Using linear mixed-effects models, data from the Maastricht Intensive Care COVID (MaastrICCht) cohort were used to investigate the association between time and the CoLab score. Models were adjusted for sex, APACHE II score, ICU mortality, and daily SOFA score. The CoLab score decreased by 0.30 points per day (95% CI - 0.33 to - 0.27), independent of sex, APACHE II, and Mortality. With increasing SOFA score over time, the CoLab score decreased more strongly (- 0.01 (95% CI - 0.01 to - 0.01) additional decrease per one-point increase in SOFA score.) The CoLab score decreased in ICU patients on mechanical ventilation for COVID-19, with a one-point reduction per three days, independent of sex, APACHE II, and ICU mortality, and somewhat stronger with increasing multi-organ failure over time. This suggests that the CoLab score would decrease below a threshold where COVID-19 can be excluded.

[Establishing a prognostic prediction model for patients with septic shock based on the completion time of fluid resuscitation and the negative fluid balance volumes].

OBJECTIVE: To explore the relationship between the completion time of fluid resuscitation as well as negative fluid balance volumes and the prognosis of patients with septic shock, and to try to construct a prediction model based on the completion time of fluid resuscitation and negative fluid balance volumes, and to verify the predictive efficacy of the model on the prognosis of patients with septic shock. METHODS: Patients with septic shock admitted to Wuxi People's Hospital from April 2020 to April 2023 were selected. The general data (gender, age, body mass index, infection site), pathological indicators on admission, the difference of acute physiology and chronic health evaluation II (APACHE II) and sequential organ failure assessment (SOFA) between admission and 24 hours after fluid resuscitation, the completion time of fluid resuscitation and negative fluid balance volume were recorded. Multivariate Logistic analysis was used to screen the influencing factors of the prognosis of patients with septic shock, and a nomogram model was established. Bootstrap method was used for internal validation of the model. The consistency index, calibration curve and receiver operator characteristic curve (ROC curve) were used to evaluate the accuracy and prediction efficiency of the model. RESULTS: A total of 96 patients with septic shock were enrolled, 38 patients died and 58 patients survived at 28 days. Compared with the survival group, the difference of APACHE II score, SOFA score, the proportion of fluid resuscitation completed within 1 to 3 hours, and the proportion of negative fluid balance volume -500 to -250 mL per day in the death group were lower, and the differences were statistically significant (all P < 0.05). Multivariate Logistic analysis showed that the completion time of fluid resuscitation was a risk factor for the prognosis of patients with septic shock [odds ratio (OR) = 26.285, 95% confidence interval (95%CI) was 9.984-76.902, P < 0.05]. The difference of APACHE II score (OR = 0.045, 95%CI was 0.015-0.131), SOFA score (OR = 0.056, 95%CI was 0.019-0.165) between admission and 24 hours after fluid resuscitation, and negative fluid balance volume (OR = 0.043, 95%CI was 0.015-0.127) were protective factors for the prognosis of patients with septic shock (all P < 0.05). The model validation results showed that the consistency index was 0.681 (95%CI was 0.596-0.924), indicating good discrimination. The calibration curve showed that the calibration curve fitted well with the ideal curve. The ROC curve showed that the sensitivity of the nomogram model for predicting the death of patients with septic shock was 83.7%, the specificity was 97.2%, and the area under the ROC curve (AUC) was 0.931 (95%CI was 0.846-0.985), indicating that the model had good prediction efficiency. CONCLUSIONS: The completion time of fluid resuscitation and negative fluid balance volumes are related to the prognosis of septic shock patients, and the alignment diagram model improve the identification of the risk of death in septic shock patients.

Prediction of hospital mortality among critically ill patients in a single centre in Asia: comparison of artificial neural networks and logistic regression-based model.

INTRODUCTION: This study compared the performance of the artificial neural network (ANN) model with the Acute Physiologic and Chronic Health Evaluation (APACHE) II and IV models for predicting hospital mortality among critically ill patients in Hong Kong. METHODS: This retrospective analysis included all patients admitted to the intensive care unit of Pamela Youde Nethersole Eastern Hospital from January 2010 to December 2019. The ANN model was constructed using parameters identical to the APACHE IV model. Discrimination performance was assessed using area under the receiver operating characteristic curve (AUROC); calibration performance was evaluated using the Brier score and Hosmer-Lemeshow statistic. RESULTS: In total, 14 503 patients were included, with 10% in the validation set and 90% in the ANN model development set. The ANN model (AUROC=0.88, 95% confidence interval [CI]=0.86-0.90, Brier score=0.10; P in Hosmer-Lemeshow test=0.37) outperformed the APACHE II model (AUROC=0.85, 95% CI=0.80-0.85, Brier score=0.14; P<0.001 for both comparisons of AUROCs and Brier scores) but showed performance similar to the APACHE IV model (AUROC=0.87, 95% CI=0.85-0.89, Brier score=0.11; P=0.34 for comparison of AUROCs, and P=0.05 for comparison of Brier scores). The ANN model demonstrated better calibration than the APACHE II and APACHE IV models. CONCLUSION: Our ANN model outperformed the APACHE II model but was similar to the APACHE IV model in terms of predicting hospital mortality in Hong Kong. Artificial neural networks are valuable tools that can enhance real-time prognostic prediction.

Tocilizumab treatment in COVID-19 patients: therapy's side effects and effect on mortality.

OBJECTIVE: This study aimed to determine the effect of tocilizumab use on mortality and the potential side effects in COVID-19 patients. PATIENTS AND METHODS: The intensive care patients were divided into the tocilizumab group and the control group. Hemogram, biochemistry, acute phase reactant values, age, gender, comorbidity, and culture results were recorded on the 0th, 3rd, 7th, and 14th days. Factors affecting mortality between and within the groups and side effects were examined. RESULTS: 32.14% of the patients were female, and 67.85% were male. The tocilizumab group had high alanine aminotransferase and potassium on day 3. On day 7, low levels of platelet, glucose, international normalized ratio, prothrombin time, and active partial thromboplastin time levels were observed. Procalcitonin, C-reactive protein, and fibrinogen levels were low on days 3 and 7. The relationship between the tocilizumab treatment and mortality was statistically not significant, although the APACHE score was low. In the tocilizumab group, the presence of additional disease and reproduction in culture significantly increased mortality. CONCLUSIONS: Despite the risks of side effects, tocilizumab was used in COVID-19 treatment since it is an interleukin-6 blocker. Although the first publications stated that the treatment could decrease the mortality rate, later meta-analyses did not support these results. Our study also found that using tocilizumab did not make a difference in long-term mortality. We also observed that the known side effects were seen in short-term use.

Development of prognostic models for predicting 90-day neurological function and mortality after cardiac arrest.

BACKGROUND: The survivors of cardiac arrest experienced vary extent of hypoxic ischemic brain injury causing mortality and long-term neurologic disability. However, there is still a need to develop robust and reliable prognostic models that can accurately predict these outcomes. OBJECTIVES: To establish reliable models for predicting 90-day neurological function and mortality in adult ICU patients recovering from cardiac arrest. METHODS: We enrolled patients who had recovered from cardiac arrest at Binhaiwan Central Hospital of Dongguan, from January 2018 to July 2021. The study's primary outcome was 90-day neurological function, assessed and divided into two categories using the Cerebral Performance Category (CPC) scale: either good (CPC 1-2) or poor (CPC 3-5). The secondary outcome was 90-day mortality. We analyzed the relationships between risk factors and outcomes individually. A total of four models were developed: two multivariable logistic regression models (models 1 and 2) for predicting neurological function, and two Cox regression models (models 3 and 4) for predicting mortality. Models 2 and 4 included new neurological biomarkers as predictor variables, while models 1 and 3 excluded. We evaluated calibration, discrimination, clinical utility, and relative performance to establish superiority between the models. RESULTS: Model 1 incorporates variables such as gender, site of cardiopulmonary resuscitation (CPR), total CPR time, and acute physiology and chronic health evaluation II (APACHE II) score, while model 2 includes gender, site of CPR, APACHE II score, and serum level of ubiquitin carboxy-terminal hydrolase L1 (UCH-L1). Model 2 outperforms model 1, showcasing a superior area under the receiver operating characteristic curve (AUC) of 0.97 compared to 0.83. Additionally, model 2 exhibits improved accuracy, sensitivity, and specificity. The decision curve analysis confirms the net benefit of model 2. Similarly, models 3 and 4 are designed to predict 90-day mortality. Model 3 incorporates the variables such as site of CPR, total CPR time, and APACHE II score, while model 4 includes APACHE II score, total CPR time, and serum level of UCH-L1. Model 4 outperforms model 3, showcasing an AUC of 0.926 and a C-index of 0.830. The clinical decision curve analysis also confirms the net benefit of model 4. CONCLUSIONS: By integrating new neurological biomarkers, we have successfully developed enhanced models that can predict 90-day neurological function and mortality outcomes more accurately.

Complicated anorectal sepsis: Validation of scoring system for predicting anorectal sepsis severity.

Anorectal sepsis is a common and potentially serious medical condition characterized by infection and inflammation of the anal canal and surrounding tissues. However, the lack of standardized and comprehensive scoring systems specifically tailored for predicting the severity of anorectal sepsis poses challenges in clinical practice. This study aimed to develop and validate a scoring system for predicting the severity of anorectal sepsis by incorporating relevant patient factors. A retrospective cohort study was conducted at Mansoura University Hospital, a tertiary care center, over a period of 5 years. The study population consisted of 330 patients diagnosed with anorectal sepsis during the study period. A scoring system was developed using multiple variables, with each variable assigned a specific score based on its clinical significance and weight in predicting disease severity. The developed scoring system's predictive performance was evaluated using receiver operating characteristic (ROC) analysis, calculating the area under the ROC curve to assess discriminative ability. Descriptive statistics were used to summarize the demographic and clinical characteristics of the study population. Chi-square tests or t tests were performed to assess differences between non-severe and severe anal sepsis groups. The scoring system consisted of 12 variables, with a maximum total score of 18. The logistic regression analysis revealed significant associations between localized swelling, presentation within 72 hours, multiple drainage sessions, and severe anorectal sepsis. The ROC analysis showed an area under the curve of 0.85, indicating good discriminative ability of the scoring system. The scoring system was developed and validated in a single center, which may limit its generalizability to other settings. The scoring system demonstrated good predictive performance and can be a valuable tool for clinicians in assessing disease severity, guiding treatment decisions, and identifying high-risk patients.

DEVELOPMENT AND VALIDATION OF A NOMOGRAM FOR PREDICTING 28-DAY IN-HOSPITAL MORTALITY IN SEPSIS PATIENTS BASED ON AN OPTIMIZED ACUTE PHYSIOLOGY AND CHRONIC HEALTH EVALUATION II SCORE.

ABSTRACT: Purpose : The objective of this study is to establish a nomogram that correlates optimized Acute Physiology and Chronic Health Evaluation II (APACHE II) score with sepsis-related indicators, aiming to provide a robust model for early prediction of sepsis prognosis in clinical practice and serve as a valuable reference for improved diagnosis and treatment strategies. Methods : This retrospective study extracted sepsis patients meeting the inclusion criteria from the MIMIC-IV database to form the training group. An optimized APACHE II score integrated with relevant indicators was developed using a nomogram for predicting the prognosis of sepsis patients. External validation was conducted using data from the intensive care unit at Lanzhou University Second Hospital. Results : The study enrolled 1805 patients in the training cohort and 203 patients in the validation cohort. A multifactor analysis was conducted to identify factors affecting patient mortality within 28 days, resulting in the development of an optimized score by simplifying evaluation indicators from APACHE II score. The results showed that the optimized score (area under the ROC curve [AUC] = 0.715) had a higher area under receiver operating characteristic curve than Sequential Organ Failure Assessment score (AUC = 0.637) but slightly lower than APACHE II score (AUC = 0.720). Significant indicators identified through multifactor analysis included platelet count, total bilirubin level, albumin level, prothrombin time, activated partial thromboplastin time, mechanical ventilation use and renal replacement therapy use. These seven indicators were combined with optimized score to construct a nomogram based on these seven indicators. The nomogram demonstrated good clinical predictive value in both training cohort (AUC = 0.803) and validation cohort (AUC = 0.750). Calibration curves and decision curve analyses also confirmed its good predictive ability, surpassing the APACHE II score and Sequential Organ Failure Assessment score in identifying high-risk patients. Conclusions : The nomogram was established in this study using the MIMIC-IV database and validated with external data, demonstrating its robust discriminability, calibration, and clinical practicability for predicting 28-day mortality in sepsis patients. These findings aim to provide substantial support for clinicians' decision making.

Magnesium levels and mortality relationship in patients with Acinetobacter baumannii detected in the Intensive Care Unit.

OBJECTIVE: Acinetobacter baumannii (A. baumannii) causes serious nosocomial infections, especially in Intensive Care Units (ICU). Studies have shown that magnesium (Mg) levels change in sepsis. This study aimed to investigate the effect of Mg levels on mortality in patients with A. baumannii sepsis in the ICU. PATIENTS AND METHODS: 140 patients who were hospitalized in the tertiary ICU between January 2018 and March 2020 and who were found to have A. baumannii sepsis in their culture follow-ups were included in the study. Demographic information of the patients, Mg levels during hospitalization and follow-up, and various data in the ICU were recorded. RESULTS: The factors that predicted one-month mortality were old age, APACHE II score, CCIS, A. baumannii detection in the early stages of ICU admission, and high Mg level on day A. baumannii was detected, and the lowest Mg level after A. baumannii was detected in the early period. According to the multivariate logistic regression analysis, age increase [OR (95% CI): 1.062 (1.009-1.117)], APACHE II increase [OR (95% CI): 1.251 (1.141-1.372)], and early detection of A. baumannii during ICU admission [OR (95% CI): 0.902 (0.845-0.962)] were found to be factors that increase one-month mortality. CONCLUSIONS: Hypermagnesemia in patients with A. baumannii indicates longer-term mortality, while a rapid decrease in Mg levels is a predictor of early mortality. Keeping Mg levels of patients within the reference range with frequent Mg measurement reduces mortality. Knowing colonized patients during admission to the ICU may be useful as an indicator of A. baumannii infection development and mortality risk.

Prognostic value of Pleth Variability Index in patients followed up in the Intensive Care Unit.

OBJECTIVE: The Pleth Variability Index (PVI) can guide the approach to hypovolemia, which is sometimes the cause and sometimes the result of major diseases; further studies are needed on this index. Therefore, in the present study, we aimed to evaluate the prognostic value of PVI and its relationship with 28-day mortality. PATIENTS AND METHODS: A total of 158 patients were included. Patients were divided into two groups according to 28-day mortality. Patients who died within 28 days were assigned to Group M (Mortal), while those who survived were included in Group S (Survive). Patients' demographics, definitive diagnosis, arterial blood pressure, fingertip oxygen saturation, PVI, fingertip blood glucose, fever, pulse, shock index, and serum lactate level were recorded. RESULTS: Regarding demographics, no statistically significant difference was found between the two groups in terms of age, gender, and Body Mass Index (BMI) (p=0.356, p=0.966, and p=0.977, respectively). The rate of intubation, the use of vasopressors, Acute Physiology and Chronic Health Evaluation (APACHE) II score, shock index, and PVI values were statistically significantly higher in Group M compared to Group S (for all, p<0.001). Glasgow Coma Score (GCS), Perfusion Index (PI), and length of stay were statistically significantly lower in Group M than in Group S (p<0.001, p<0.001, and p=0.025, respectively). PVI predicted 28-day mortality with 83.8% sensitivity and 97.9% specificity. CONCLUSIONS: PVI, serum lactate level, PI, APACHE II, GCS, and need for vasopressors were independent risk factors for 28-day mortality in the Intensive Care Unit (ICU). PVI and serum lactate have a prognostic value in predicting mortality.

[Construction and analysis of early warning and prediction model for risk factors of sepsis-associated encephalopathy].

OBJECTIVE: To investigate the epidemiological characteristics of sepsis-associated encephalopathy (SAE) in patients with sepsis, analyze its risk factors and build a prediction model, which provides evidence for early clinical identification of SAE patients and improvement of clinical outcomes. METHODS: A retrospective observational study was conducted. Sepsis patients admitted to the critical care medical center of the First Affiliated Hospital of Xinjiang Medical University from February 2022 to February 2023 were enrolled. According to whether SAE occurred, the patients were divided into sepsis group and SAE group. The 24 patients without sepsis in the same period were used as controls (non-sepsis group). Demographic data, relevant scores and laboratory test indicators at admission to intensive care unit (ICU), and prognostic indicators were collected. Univariate and multivariate Logistic regression analysis was used to analyze the risk factors for sepsis and SAE. Receiver operator characteristic curve (ROC curve) was drawn. The predictive value of each risk factor for sepsis and SAE. RESULTS: A total of 130 patients with sepsis were included, of which 52 had SAE, and the incidence of SAE was 40.00%. There were significant differences in the length of ICU stay and total length of stay among all groups, while there were no significant differences in hospitalization cost and mechanical ventilation time. Multivariate Logistic regression analysis showed that pulmonary infection [odds ratio (OR) = 46.817, 95% confidence interval (95%CI) was 5.624-389.757, P = 0.000], acute physiology and chronic health evaluation II (APACHE II: OR = 1.184, 95%CI was 1.032-1.358, P = 0.016), sequential organ failure assessment (SOFA: OR = 9.717, 95%CI was 2.618-36.068, P = 0.001), Charson comorbidity index (CCI: OR = 4.836, 95%CI was 1.860-12.577, P = 0.001), hemoglobin (Hb: OR = 0.893, 95%CI was 0.826-0.966, P = 0.005), glutamyltranspeptidase (OR = 1.026, 95%CI was 1.008-1.045, P = 0.006) were independent risk factors for sepsis in ICU patients. Pulmonary infection (OR = 28.795, 95%CI was 3.296-251.553, P = 0.002), APACHE II score (OR = 1.273, 95%CI was 1.104-1.467, P = 0.001), SOFA score (OR = 8.670, 95%CI was 2.330-32.261, P = 0.001), CCI (OR = 5.141, 95%CI was 1.961-13.475, P = 0.001), Hb (OR = 0.922, 95%CI was 0.857-0.993, P = 0.031), glutamyltranspeptidase (OR = 1.020, 95%CI was 1.002-1.038, P = 0.030) were independent risk factors for SAE in sepsis patients. ROC curve analysis showed that the area under the curve (AUC) of pulmonary infection, APACHE II score, SOFA score, CCI, Hb, and glutamyltranspeptidase for predicting sepsis were 0.792, 0.728, 0.987, 0.933, 0.720, and 0.699, respectively; the AUC of the combined prediction of the above 6 variables for sepsis was 1.000, with a sensitivity of 100% and a specificity of 100%. The AUC predicted by pulmonary infection, APACHE II score, SOFA score, CCI, and Hb for SAE were 0.776, 0.810, 0.907, 0.917, and 0.758, respectively; the AUC of the combined prediction of the above 5 variables for SAE was 0.975, with a sensitivity of 97.3% and a specificity of 93.1%. CONCLUSIONS: Sepsis is more severe when accompanied by encephalopathy. Pulmonary infection, Hb, APACHE II score, SOFA score and CCI were independent risk factors of SAE. The combination of the above five indicators has good predictive value for early screening and prevention of the disease.

[Expression and diagnostic value of growth differentiation factor 15 in patients with septic cardiomyopathy].

OBJECTIVE: To explore the expression of growth differentiation factor 15 (GDF15) in patients with septic cardiomyopathy and its value in the diagnosis of septic cardiomyopathy. METHODS: A observational study was conducted. Fifty patients with septic cardiomyopathy admitted to Shanxi Bethune Hospital from May 2022 to March 2023 were selected as the experimental group. Forty-six patients with acute coronary syndrome (ACS) in the same period were selected as the case control group. Forty-nine healthy adults were selected as the healthy control group, who underwent physical examination in the physical examination center during the same period. The demographic data and clinical indicators of the subjects were recorded, and the serum GDF15 level was detected by double sandwich enzyme-linked immunosorbent assay (ELISA). And the 28-day outcome of patients with septic cardiomyopathy was followed up, and they were divided into survival group and death group. The serum GDF15 level of subjects in each group and its correlation with clinical indicators were analyzed and compared. Binary Logistic regression was used to analyze the risk factors of septic cardiomyopathy. Receiver operator characteristic curve (ROC curve) was used to evaluate the value of GDF15 in the diagnosis of septic cardiomyopathy. RESULTS: The serum GDF15 level of experimental group was significantly higher than that in the case control group and healthy control group [ng/L: 314.14 (221.96, 469.56) vs. 39.08 (26.27, 76.85), 6.39 (3.35, 14.42), both P < 0.01]. Correlation analysis showed that serum GDF15 level in patients with septic cardiomyopathy were correlated with cardiac troponin I (cTnI, r = 0.295, P = 0.038), brain natriuretic peptide (BNP, r = 0.464, P = 0.009), sequential organ failure assessment (SOFA, r = 0.363, P = 0.010) and acute physiology and chronic health evaluation II (APACHE II, r = 0.316, P = 0.025). However, there was no significant correlation with white blood cell count, neutrophil count, lymphocyte count, procalcitonin, C-reactive protein, lactic acid, albumin and other clinical indicators (r values were 0.086, 0.123, -0.051, 0.055, 0.119, 0.199, -0.234, all P > 0.05). Serum GDF15 level, SOFA score and APACHE II score in the death group (30 cases) were significantly higher than those in the survival group [20 cases; GDF15 (ng/L): 382.93±159.61 vs. 289.66±158.46, SOFA: 10.00 (7.00, 12.00) vs. 6.00 (5.00, 9.50), APACHE II: 21.70±6.07 vs. 14.85±7.57, all P < 0.05]. Binary Logistic regression analysis showed that serum GDF15 was an independent risk factor for the onset of septic cardiomyopathy [odds ratio (OR) = 1.062, 95% confidence interval (95%CI) was 1.011-1.115, P = 0.016]. ROC curve showed that the area under the curve (AUC) of GDF15 for predicting septic cardiomyopathy was 0.971, the specificity was 100%, and the sensitivity was 90.3%. CONCLUSIONS: The serum GDF15 level of patients with septic cardiomyopathy is significantly increased, and GDF15 may be used as an effective biomarker for the early diagnosis of septic cardiomyopathy.

Lessons for the next pandemic: analysis of the timing and outcomes including post-discharge decannulation rates for tracheostomy in severe COVID-19 respiratory failure.

PURPOSE: COVID-19 patients with respiratory failure frequently require prolonged ventilatory support that would typically warrant early tracheostomy. There has been significant debate on timing, outcomes, and safety of these procedures. The purpose of this study was to determine the epidemiological, hospital, and post-discharge outcomes of this cohort, based on early (ET) versus late (LT) tracheostomy. METHODS: Retrospective review (March 2020-January 2021) in a 5-hospital system of ventilated patients who underwent tracheostomy. Demographics, hospital/ICU length of stay (LOS), procedural characteristics, APACHE II scores at ICU admission, stabilization markers, and discharge outcomes were analyzed. Long-term decannulation rates were obtained from long-term acute care facility (LTAC) data. RESULTS: A total of 97 patients underwent tracheostomy (mean 61 years, 62% male, 64% Hispanic). Despite ET being frequently performed during active COVID infection (85% vs. 64%), there were no differences in complication types or rates versus LT. APACHE II scores at ICU admission were comparable for both groups; however, > 50% of LT patients met PEEP stability at tracheostomy. ET was associated with significantly shorter ICU and hospital LOS, ventilator days, and higher decannulation rates. Of the cohort discharged to an LTAC, 59% were ultimately decannulated, 36% were discharged home, and 41% were discharged to a skilled nursing facility. CONCLUSIONS: We report the first comprehensive analysis of ET and LT that includes LTAC outcomes and stabilization markers in relation to the tracheostomy. ET was associated with improved clinical outcomes and a short LOS, specifically on days of pre-tracheostomy ventilation and in-hospital decannulation rates.

A novel prognostic model to predict mortality in patients with acute-on-chronic liver failure in intensive care unit.

Acute-on-chronic liver failure (ACLF) implies high short-term mortality rates and usually requires intensive care unit (ICU) admission. Proper prognosis for these patients is crucial for early referral for liver transplantation. The superiority of CLIF-C ACLF score in Asian patients with ACLF admitted to an ICU remains inconclusive when compared to other scoring systems. The purpose of the study is (i) to compare the predictive performance of original MELD, MELD-Lactate, CLIF-C ACLF, CLIF-C ACLF-Lactate, and APACHE-II scores for short-term mortality assessment. (ii) to build and validate a novel scoring system and to compare its predictive performance to that of the original five scores. Two hundred sixty-five consecutive cirrhotic patients with ACLF who were admitted to our ICU were enrolled. The prognostic values for mortality were assessed by ROC analysis. A novel model was developed and internally validated using fivefold cross-validation. Alcohol abuse was identified as the primary etiology of cirrhosis. The AUROC of the five prognostic scores were not significantly superior to each other in predicting 1-month and 3-month mortality. The newly developed prognostic model, incorporating age, alveolar-arterial gradient (A-a gradient), BUN, total bilirubin level, INR, and HE grades, exhibited significantly improved performance in predicting 1-month and 3-month mortality with AUROC of 0.863 and 0.829, respectively, as compared to the original five prognostic scores. The novel ACLF model seems to be superior to the original five scores in predicting short-term mortality in ACLF patients admitted to an ICU. Further rigorous validation is required.

The Comparison of scoring systems: SOFA, APACHE-II, LODS, MODS, and SAPS-II in critically ill elderly sepsis patients.

INTRODUCTION: The elderly population is unique and the prognostic scoring systems developed for the adult population need to be validated. We evaluated the predictive value of frequently used scoring systems on mortality in critically ill elderly sepsis patients. METHODOLOGY: In this single-center, observational, prospective study, critically ill elderly sepsis patients were evaluated. Sequential organ failure evaluation score (SOFA), acute physiology and chronic health evaluation score-II (APACHE-II), logistic organ dysfunction score (LODS), multiple organ dysfunction score (MODS), and simplified acute physiology score-II (SAPS-II) were calculated. The participants were followed up for 28 days for in-hospital mortality. Prognostic scoring systems, demographic characteristics, comorbid conditions, and baseline laboratory findings were compared between "survivor" and "non-survivor" groups. RESULTS: 202 patients with a mean age of 79 (interquartile range, IQR: 11) years were included, and 51% (n = 103) were female. The overall mortality was 41% (n = 83). SOFA, APACHE-II, LODS, MODS, and SAPS-II scores were significantly higher in the non-survivor group (p < 0.001), and higher scores were correlated with higher mortality. The receiver operator characteristics (ROC) - area under curve (AUC) values were 0.802, 0.784, 0.735, 0.702 and 0.780 for SOFA, APACHE-II, LODS, MODS, and SAPS-II, respectively. All prognostic scoring models had a significant discriminative ability on the prediction of mortality among critically ill elderly sepsis patients (p < 0.001). CONCLUSIONS: This study showed that SOFA, APACHE-II, LODS, MODS, and SAPS-II scores are significantly associated with 28-day mortality in critically ill elderly sepsis patients, and can be successfully used for predicting mortality.