[Medical emergency support for the snowboarding project during the Beijing Winter Olympics].

OBJECTIVE: To analyze and summarize the medical security situation of the snowmobile, sled, and steel frame snowmobile tracks at the National Sliding Centre, and to provide experience for future event hosting and medical security work for mass ice and snow sports. METHODS: Retrospective analysis of injuries and treatment of athletes participating in the International Training Week and World Cup for Ski, Sled, and Steel Frame Ski from October to November 2021(hereinafter referred to as "International Training Week"), as well as the Ski, Sled, and Steel Frame Ski events at the Beijing Winter Olympics in February 2022 (hereinafter referred to as the "Beijing Winter Olympics"). We referred to and drew on the "Medical Security Standards for Winter Snow Sports" to develop specific classification standards for analyzing injured areas, types of injuries, and accident locations. RESULTS: A total of 743 athletes participated in the International Training Week and the Beijing Winter Olympics. During the competition, there were 58 incidents of overturning, prying, and collision, of which 28 (28 athletes) were injured, accounting for 48.3% of the total accidents and 3.8% of the total number of athletes. Among them, there were 9 males (32.1%) and 19 females (67.9%), with an average age of (26.3 ± 4.7) years. Among the 28 injured athletes, 20 cases (71.4%) received on-site treatment for Class Ⅰ injuries, while 8 cases (28.6%) had more severe injuries, including Class Ⅱ injuries (7 cases) and Class Ⅲ injuries (1 case), which were referred to designated hospitals for further treatment. Among the 28 injured athletes, 3 cases (10.7%) experienced multiple injuries, including 2 cases of 2 injuries and 1 case of 3 injuries. The most common injuries were in the ankle and toes (10/32, 31.3%). Out of 28 injured athletes, one (3.6%) experienced two types of injuries simultaneously, with joint and/or ligament injuries being the most common (11/29, 37.9%). The most accident prone point on the track was the ninth curve (18/58, 31.0%). CONCLUSION: Through the analysis and summary of medical security work, it can provide better experience and reference for the future development of snowmobile, sled, and steel frame snowmobile sports in China, making the National Snowy and Ski Center truly a sustainable Olympic heritage.

[Risk factors for acute respiratory distress syndrome in patients with traumatic hemorrhagic shock].

OBJECTIVE: To investigate the risk factors of acute respiratory distress syndrome (ARDS) after traumatic hemorrhagic shock. METHODS: This was a retrospective cohort study of 314 patients with traumatic hemorrhagic shock at Trauma Medicine Center, Peking University People's Hospital from December 2012 to August 2021, including 152 male patients and 162 female patients, with a median age of 63.00 (49.75-82.00) years. The demographic data, past medical history, injury assessment, vital signs, laboratory examination and other indicators of these patients during hospitalization were recorded. These patients were divided into two groups, ARDS group (n=89) and non-ARDS group (n=225) according to whether there was ARDS within 7 d of admission. Risk factors for ARDS were identified using Logistic regression. The C-statistic expressed as a percentage [area under curve (AUC) of the receiver operating characteristic (ROC) curve] was used to assess the discrimination of the model. RESULTS: The incidence of ARDS after traumatic hemorrhagic shock was 28.34%. Finally, Logistic regression model showed that the independent risk factors of ARDS after traumatic hemorrhagic shock included male, history of coronary heart disease, high acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score, road traffic accident and elevated troponin Ⅰ. The OR and 95% confidence intervals (CI) were 4.01 (95%CI: 1.75-9.20), 5.22 (95%CI: 1.29-21.08), 1.07 (95%CI: 1.02-1.57), 2.53 (95%CI: 1.21-5.28), and 1.26 (95%CI: 1.02-1.57), respectively; the P values were 0.001, 0.020, 0.009, 0.014, and 0.034, respectively. The ROC curve was used to analyze the value of each risk factor in predicting ARDS. It was found that the AUC for predicting ARDS after traumatic hemorrhagic shock was 0.59 (95%CI: 0.51-0.68) for male, 0.55 (95%CI: 0.46-0.64) for history of coronary heart disease, 0.65 (95%CI: 0.57-0.73) for APACHE Ⅱ score, 0.58 (95%CI: 0.50-0.67) for road traffic accident, and 0.73 (95%CI: 0.66-0.80) for elevated troponin Ⅰ, with an overall predictive value of 0.81 (95%CI: 0.74-0.88). CONCLUSION: The incidence of ARDS in patients with traumatic hemorrhagic shock is high, and male, history of coronary heart disease, high APACHE Ⅱ score, road traffic accident and elevated troponin Ⅰ are independent risk factors for ARDS after traumatic hemorrhagic shock. Timely monitoring these indicators is conducive to early detection and treatment of ARDS after traumatic hemorrhagic shock.

Incidence, risk factors, and outcomes of the transition of HIPEC-induced acute kidney injury to acute kidney disease: a retrospective study.

BACKGROUND: Acute kidney injury (AKI) is recognized as a common complication following cytoreductive surgery combined with hyperthermic intraperitoneal chemotherapy (CRS-HIPEC). Characterized by prolonged renal function impairment, acute kidney disease (AKD) is associated with a higher risk of chronic kidney disease (CKD) and mortality. METHODS: From January 2018 to December 2021, 158 patients undergoing CRS-HIPEC were retrospectively reviewed. Patients were separated into non-AKI, AKI, and AKD cohorts. Laboratory parameters and perioperative features were gathered to evaluate risk factors for both HIPEC-induced AKI and AKD, with the 90-day prognosis of AKD patients. RESULTS: AKI developed in 21.5% of patients undergoing CRS-HIPEC, while 13.3% progressed to AKD. The multivariate analysis identified that ascites, GRAN%, estimated glomerular filtration rate (eGFR), and intraoperative (IO) hypotension duration were associated with the development of HIPEC-induced AKI. Higher uric acid, lessened eGFR, and prolonged IO hypotension duration were more predominant in patients proceeding with AKD. The AKD cohort presented a higher risk of 30 days of in-hospital mortality (14.3%) and CKD progression (42.8%). CONCLUSIONS: Our study reveals a high incidence of AKI and AKI-to-AKD transition. Early identification of risk factors for HIPEC-induced AKD would assist clinicians in taking measures to mitigate the incidence.

A comprehensive analysis of immune features and construction of an immune gene diagnostic model for sepsis.

Sepsis is a life-threatening syndrome resulting from immune system dysfunction that is caused by infection. It is of great importance to analyze the immune characteristics of sepsis, identify the key immune system related genes, and construct diagnostic models for sepsis. In this study, the sepsis transcriptome and expression profiling data were merged into an integrated dataset containing 277 sepsis samples and 117 non-sepsis control samples. Single-sample gene set enrichment analysis (ssGSEA) was used to assess the immune cell infiltration. Two sepsis immune subtypes were identified based on the 22 differential immune cells between the sepsis and the healthy control groups. Weighted gene co-expression network analysis (WCGNA) was used to identify the key module genes. Then, 36 differentially expressed immune-related genes were identified, based on which a robust diagnostic model was constructed with 11 diagnostic genes. The expression of 11 diagnostic genes was finally assessed in the training and validation datasets respectively. In this study, we provide comprehensive insight into the immune features of sepsis and establish a robust diagnostic model for sepsis. These findings may provide new strategies for the early diagnosis of sepsis in the future.

Ischemic postconditioning protects against acute kidney injury after limb ischemia reperfusion by regulating HMGB1 release and autophagy.

Ischemic postconditioning (I-PostC) has a protective effect against acute kidney injury (AKI) induced by limb ischemia-reperfusion (LIR); however, the exact mechanism remains to be elucidated. Our study aims to investigate the potential involvement of high-mobility group box 1 protein (HMGB1) and autophagy in renoprotection generated by I-PostC. A rat model of LIR-induced AKI was established and rats were randomly assigned to five groups: (i) sham-operated control, (ii) I/R, (iii) I/R + I-PostC, (iv) I/R + I-PostC + rapamycin (autophagy activator), and (v) I/R + I-PostC + 3-methyladenine (autophagy inhibitor). Morphological changes in the kidneys were assessed by histology, and ultrastructural changes in renal tubular epithelial cells and glomerular podocytes were observed by transmission electron microscopy. The levels of kidney function parameters, serum inflammatory factors, and autophagy markers were detected. The results showed that the levels of HMGB1, Beclin1, LC3-II/LC3-I, and inflammatory cytokines (TNF-α and IL-6) were significantly higher in the I/R group compared to the sham control in serum and in renal tissues. I-PostC significantly reduced the levels of HMGB1, Beclin1, LC3-II/LC3-I, and inflammatory cytokines in renal tissues and improved renal function. Renal histopathology and ultrastructural observations indicated that I-PostC alleviated renal tissue injury. In addition, rapamycin (autophagy activator) treatment increased the levels of inflammatory cytokine expression levels and decreased renal function, reversed the protective effect of I-PostC against LIR-induced AKI. In conclusion, I-PostC could play a protective role against AKI by regulating the release of HMGB1 and inhibiting autophagy activation.

Respiratory Function Tolerance of Rats with Vaying Degrees of Thoracic Volume Reduction.

OBJECTIVE: To compare the effects of respiratory function on different degrees of reduced thoracic volume and evaluate the tolerance of rats with reduced thoracic volume, and to assess the feasibility of thoracic volume as a measure of the severity of rib fractures. METHODS: A total of 24 10-week-old female Sprague-Dawley (SD) rats were randomly divided into four groups (n = 6 in each group) according to the displacement degree of bilateral rib fractures (2, 4, 6, and 8 mm). The respiratory function of the rats（Tidal volume, Inspiration time, Expiration time, Breath rate, Minute volume, Peak inspiration flow) measured via whole-body barometric plethysmography before and after operation for 14 consecutive days. Respiratory function parameters of each group were analyzed. Chest CT scans were performed before and 14 days after operation, after that we reconstructed three-dimensional of the thoracic and lung and measured their volumes by computer software. We calculated the percentage of thoracic and lung volume reduction after operation. RESULTS: At the 14th day after the operation, the decline of thoracic volume rates of in the 2, 4, 6, and 8 mm groups were 5.20%, 9.01%, 16.67%, and 20.74%, respectively. The 8 mm group showed a significant reduction in lung volume. The postoperative tidal volumes were lower in each of the groups than the baseline values before the operation. The tidal volume of the 2 mm group gradually recovered after the operation and returned to a normal level (1.54 ± 0.07 mL) at 14th day after the operation. The tidal volume of the 4, 6, and 8 mm groups recovered gradually after the operation, but did not return to baseline level at the 14th day. In particular, the tidal volume of the 8 mm group was significantly lower than that of the other groups during the 14 days (1.23 ± 0.12 mL, p < 0.05). There were no significant changes in the inspiratory and expiratory times, peak inspiratory and expiratory flows, respiratory rate, and minute ventilation during the 14 days after the operation in each group. CONCLUSIONS: Displaced rib fractures lead to thoracic collapse and reduced thoracic volume, which can affect tidal volume in rats. The greater the decrease of thoracic volume, the more obvious the decrease of early tidal volume. The thoracic volume can be used as an objective parameter to evaluate the severity of multiple rib fractures. Early operation to restore thoracic volume may improve early respiratory function. Decreased thoracic volume affected respiratory function and can be compensated and recovered in the long term.

Characteristics and risk factors for renal recovery after acute kidney injury in critically ill patients in cohorts of elderly and non-elderly: a multicenter retrospective cohort study.

BACKGROUND: The purpose of this study was to explore the risk factors for renal nonrecovery among elderly and nonelderly patients with acute kidney injury (AKI) in critically ill patients. METHODS: A multicenter retrospective cohort of 583 critically ill patients with AKI was examined. We found the best cutoff value for predicting renal recovery by age was 63 years old through logistic regression. All patients were divided into two cohorts, age <63 and age ≥63-years old; on the basis of renal recovery at 30 days after AKI, the two patient cohorts were further divided into a renal recovery group and a renal nonrecovery group. Multivariate logistic regression was used to analyze the risk factors affecting renal recovery in the two cohorts. RESULTS: The 30-day renal recovery rate of patients aged <63 years was 70.0% (198/283), multivariate analysis showed that the independent risk factors affecting renal nonrecovery in age <63 years old included AKI stage, blood lactate level and hemoglobin level. The 30-day renal recovery rate of patients aged ≥63 years was 28.7% (86/300), multivariate analysis showed that the independent risk factors for renal nonrecovery in age ≥63-years old included diabetes mellitus, surgery with general anesthesia, AKI stage, APACHE II score, eGFR, and hemoglobin level. CONCLUSIONS: The renal nonrecovery after AKI in critically ill patients in patients aged ≥63 years was more strongly affected by multiple risk factors, such as diabetes mellitus, surgery with general anesthesia, eGFR, and APACHE II score, in addition to hemoglobin and AKI stage.

Characteristics and Risk Factors of Myocardial Injury after Traumatic Hemorrhagic Shock.

Myocardial injury increases major adverse cardiovascular events and mortality in patients with traumatic hemorrhagic shock, but its prevalence and risk factors remain unclear. This study aimed to assess the prevalence and risk factors of myocardial injury after traumatic hemorrhagic shock. This was an observational, retrospective cohort study of patients with traumatic hemorrhagic shock at a tertiary university hospital from November 2012 to July 2021. Patient characteristics and clinical variables were recorded in 314 patients. The outcome was the occurrence of myocardial injury after traumatic hemorrhagic shock. Risk factors for myocardial injury were identified using logistic regression. The incidence of myocardial injury after the traumatic hemorrhagic shock was 42.4%, and 95.5% of myocardial injuries occurred within the first three days after trauma. In the multivariate analysis, the independent risk factors for myocardial injury after traumatic hemorrhagic shock included heart rate of >100 beats/min (OR [odds ratio], 3.33; 95% confidence interval [CI], 1.56−7.09; p = 0.002), hemoglobin level of <70 g/L (OR, 3.50; 95% CI, 1.15−10.60; p = 0.027), prothrombin time of >15 s (OR, 2.39; 95% CI, 1.12−5.10; p = 0.024), acute kidney injury (OR, 2.75; 95% CI, 1.27−5.93; p = 0.01), and a higher APACHE II score (OR, 1.08; 95% CI, 1.01−1.15; p = 0.018). The area under the receiver operating characteristic curve for the prediction of myocardial injury after a traumatic hemorrhagic shock was 0.67 (95% CI, 0.68−0.79) for a heart rate of >100 beats/min, 0.67 (95% CI, 0.61−0.73) for hemoglobin level of <70 g/L, 0.66 (95% CI, 0.60−0.73) for prothrombin time of >15 s, 0.70 (95% CI, 0.64−0.76) for acute kidney injury, and 0.78 (95% CI, 0.73−0.83) for APACHE II scores. The incidence rate of myocardial injury in traumatic hemorrhagic shock is high, and heart rates of >100 beats/min, hemoglobin levels of <70 g/L, prothrombin times of >15 s, AKI and higher APACHE II scores are independent risk factors for myocardial injury after traumatic hemorrhagic shock. These findings may help clinicians to identify myocardial injury after traumatic hemorrhagic shock early and initiate appropriate treatment.

Predicting renal function recovery and short-term reversibility among acute kidney injury patients in the ICU: comparison of machine learning methods and conventional regression.

BACKGROUND: Acute kidney injury (AKI) is one of the most frequent complications of critical illness. We aimed to explore the predictors of renal function recovery and the short-term reversibility after AKI by comparing logistic regression with four machine learning models. METHODS: We reviewed patients who were diagnosed with AKI in the MIMIC-IV database between 2008 and 2019. Recovery from AKI within 72 h of the initiating event was typically recognized as the short-term reversal of AKI. Conventional logistic regression and four different machine algorithms (XGBoost algorithm model, Bayesian networks [BNs], random forest [RF] model, and support vector machine [SVM] model) were used to develop and validate prediction models. The performance measures were compared through the area under the receiver operating characteristic curve (AU-ROC), calibration curves, and 10-fold cross-validation. RESULTS: A total of 12,321 critically ill adult AKI patients were included in our analysis cohort. The renal function recovery rate after AKI was 67.9%. The maximum and minimum serum creatinine (SCr) within 24 h of AKI diagnosis, the minimum SCr within 24 and 12 h, and antibiotics usage duration were independently associated with renal function recovery after AKI. Among the 8364 recovered patients, the maximum SCr within 24 h of AKI diagnosis, the minimum Glasgow Coma Scale (GCS) score, the maximum blood urea nitrogen (BUN) within 24 h, vasopressin and vancomycin usage, and the maximum lactate within 24 h were the top six predictors for short-term reversibility of AKI. The RF model presented the best performance for predicting both renal functional recovery (AU-ROC [0.8295 ± 0.01]) and early recovery (AU-ROC [0.7683 ± 0.03]) compared with the conventional logistic regression model. CONCLUSIONS: The maximum SCr within 24 h of AKI diagnosis was a common independent predictor of renal function recovery and the short-term reversibility of AKI. The RF machine learning algorithms showed a superior ability to predict the prognosis of AKI patients in the ICU compared with the traditional regression models. These models may prove to be clinically helpful and can assist clinicians in providing timely interventions, potentially leading to improved prognoses.

Analysis of the Occurrence of Acute Pulmonary Embolism in the ICU Ward and Related Risk Factors Predicting Its Severity.

OBJECTIVE: To investigate the occurrence of acute pulmonary embolism in the intensive care unit (ICU) and analyze the related risk factors for predicting its severity. METHODS: From January 2016 to December 2020, 83 patients with acute pulmonary embolism in the intensive care unit of Peking University People's Hospital were selected as the research subjects, including 34 males (40.96%) and 49 females (59.04%), with an average age of 62.06±16.83 years. The patients were divided into a high-risk group (N = 31), medium-risk group (N = 32), and low-risk group (N = 20), according to the guidelines for diagnosis and treatment of acute pulmonary embolism issued by ASH in 2020. The clinical characteristics, treatment, and prognosis of the three groups were summarized, and the severity of the patients could be predicted and the related risk factors affecting prognosis were analyzed. RESULTS: There were significant statistical differences in respiratory rate, syncope as the first symptom, bilateral pulmonary embolism, and APACHE-II score among the three groups (P < 0.05). There were significant statistical differences in the laboratory indexes, such as BNP, cTnI and D-dimer before and immediately after APE among the three groups (P < 0.05). There were significant statistical differences in cTnI and D-dimer among the three groups (P < 0.05). By pairwise comparison, it was found that there were significant statistical differences between the high-risk and low-risk groups in the immediate test indexes of APE, such as BNP, D-dimer, lower extremity vascular ultrasound abnormalities, and ECG abnormalities (P < 0.05), while there was no significant statistical difference between the medium-risk and low-risk groups in the immediate test indexes of APE (P > 0.05). However, in the medium-risk group, the laboratory indexes tended to increase, in terms of treatment and outcome, thrombolysis rate, and inferior vena cava filter implantation rate. ICU stay (> 2 weeks) of the high-risk group was significantly higher than those of the other two groups, with significant statistical difference (P < 0.05). Logistic regression analysis showed that respiratory rate (or = 1.778,95% CI 1.043-3.032, P = 0.034), D-Dimer (or = 1,95% CI 1.0-1.0, P = 0.006), and APACHE-II score (or = 1.879,95% CI 1.398-2.527, P = 0.000) were independent risk factors for predicting the severity of APE patients in the ICU ward. CONCLUSION: Acute pulmonary embolism (APE) is a critical disease in ICU. By monitoring BNP, cTnI and D-dimer, we can identify critical patients with APE early. In addition, we found that respiratory rate, D-dimer, and APACHE-II score were independent risk factors for predicting the severity of APE patients in the ICU. Clinically, APE can be identified early. The diagnosis, treatment rate, and prognosis can be improved by monitoring these indicators.

Ischemic postconditioning ameliorates acute kidney injury induced by limb ischemia/reperfusion via transforming TLR4 and NF-κB signaling in rats.

BACKGROUND: The present study investigated the influence of ischemic postconditioning (I-postC) on the adjustment of renal injury after limb ischemia-reperfusion (I/R) injury, to elucidate the mechanisms of the Toll-like receptor 4 (TLR 4)/NF-κB signaling pathway using histopathological and immunohistochemical methods. METHODS: Male Sprague-Dawley rats were randomly assigned to five groups (numbered from 1 to 5): the sham group (Group 1, only the anesthesia procedure was conducted without limb I/R), the I/R group (Group 2, 4 h of reperfusion was conducted following 4 h limb ischemia under anesthesia), the I/R + I-postC group (Group 3, 4 h of ischemia and 4 h of reperfusion was conducted; before perfusion, 5 min of limb ischemia and 5 min of reperfusion were performed in the rats and repeated 3 times), the I/R + TAK group (Group 4, rats were injected with TLR4 antagonist TAK through the caudal vein before limb ischemia and reperfusion under anesthesia), the TAK group (Group 5, rats were injected with TAK, and the anesthesia procedure was conducted without limb I/R). Histological changes in the kidney in different groups were observed, and the extent of tubular injury was assessed. Changes in biochemical indexes and the expression of inflammatory factors, TLR4, and NF-κB were also evaluated. RESULTS: Compared with rats in the I/R group, the secretion of inflammatory factors and the expression levels of TLR4 and NF-κB were decreased in rats in the I/R + I-postC group. Histological analysis revealed renal injury, including inflammatory cell infiltration, dilatation of the tubuli lumen, congestion in glomerular capillaries, degeneration of tubuli epithelial cells, and necrosis was ameliorated by I-postC. Immunohistochemical studies showed that I/R-induced elevation in TLR4 and NF-κB expression was reduced by I-postC treatment. Moreover, the expression levels of TLR4, NF-κB, and inflammatory factors in rats in the I/R + TAK group were also decreased, and the renal pathological lesion was alleviated, which was similar to that in rats in the I/R + I-postC group. CONCLUSIONS: The present findings suggest that I-postC can reduce tissue injury and kidney inflammation induced by limb I/R injury, possibly via inhibition of the TLR4 and NF-κB pathways.

Determinants of Increased Fibrinogen in COVID-19 Patients With and Without Diabetes and Impaired Fasting Glucose.

BACKGROUND: To investigate the factors associated with elevated fibrinogen (Fbg) levels in COVID-19 patients with and without diabetes (DM) and impaired fasting glucose (IFG). METHODS: According to whether or not their glucose metabolism was impaired, COVID-19 patients were subdivided into 2 groups: 1) with DM and IFG, 2) control group. Their demographic data, medical history, signs and symptoms, laboratory results, and final clinical results were analyzed retrospectively. RESULTS: 28 patients (16.3%) died during hospitalization, including 21 (29.2%) in group 1 and 7 (7.0%) in group 2 (P < 0.001). Fbg levels in groups 1 and 2 were higher than the normal range, at 5.6 g/L (IQR 4.5-7.2 g/L) and 5.0 g/L (IQR 4.0-6.1 g/L), respectively (P = 0.009). Serum ferritin levels, C-reactive protein (CRP), interleukin-6 (IL-6), IL-8, tumor necrosis factor-α (TNF-α), triglycerides (TG) were significantly increased in group 1 compared to those in the control. TG levels were 1.3 mmol/L in the control, while that in group 1 was 1.8 mmol/L. Multiple linear regression showed that the predicting factors of Fbg in the control group were serum ferritin and CRP, R2 = 0.295; in group 1, serum ferritin, CRP, and TG, R2 = 0.473. CONCLUSIONS: Fbg in all COVID-19 patients is related to serum ferritin and CRP involved in inflammation. Furthermore, in COVID-19 patients with insulin resistance, Fbg is linearly positively correlated with TG. This suggests that regulation of TG, insulin resistance, and inflammation may reduce hypercoagulability in COVID-19 patients, especially those with insulin resistance.

Ultrasonic Characteristics and Severity Assessment of Lung Ultrasound in COVID-19 Pneumonia in Wuhan, China: A Retrospective, Observational Study.

The clinical application of lung ultrasound (LUS) in the assessment of coronavirus disease 2019 (COVID-19) pneumonia severity remains limited. Herein, we investigated the role of LUS imaging in COVID-19 pneumonia patients and the relationship between LUS findings and disease severity. This was a retrospective, observational study at Tongji Hospital in Wuhan, on 48 recruited patients with COVID-19 pneumonia, including 32 non-critically ill patients and 16 critically ill patients. LUS was performed and the respiratory rate oxygenation (ROX) index, disease severity, and confusion, blood urea nitrogen, respiratory rate, blood pressure, and age (CURB-65) score were recorded on days 0-7, 8-14, and 15-21 after symptom onset. Lung images were divided into 12 regions, and the LUS score (0-36 points) was calculated. Chest computed tomography (CT) scores (0-20 points) were also recorded on days 0-7. Correlations between the LUS score, ROX index, and CURB-65 scores were examined. LUS detected COVID-19 pneumonia in 38 patients. LUS signs included B lines (34/38, 89.5%), consolidations (6/38, 15.8%), and pleural effusions (2/38, 5.3%). Most cases showed more than one lesion (32/38, 84.2%) and involved both lungs (28/38, 73.7%). Compared with non-critically ill patients, the LUS scores of critically ill patients were higher (12 (10-18) vs 2 (0-5), p < 0.001). The LUS score showed significant negative correlations with the ROX index on days 0-7 (r = -0.85, p < 0.001), days 8-14 (r = -0.71, p < 0.001), and days 15-21 (r = -0.76, p < 0.001) after symptom onset. However, the LUS score was positively correlated with the CT score (r = 0.82, p < 0.001). The number of patients with LUS-detected lesions decreased from 27 cases (81.8%) to 20 cases (46.5%), and the LUS scores significantly decreased from 4 (2-10) to 0 (0-5) (p < 0.001) from days 0-7 to 17-21. We conclude that LUS can detect lung lesions in COVID-19 pneumonia patients in a portable, real-time, and safe manner. Thus, LUS is helpful in assessing COVID-19 pneumonia severity in critically ill patients.

Glycosylated hemoglobin is associated with systemic inflammation, hypercoagulability, and prognosis of COVID-19 patients.

BACKGROUND: Diabetes is a risk factor for the progression and prognosis of coronavirus disease (COVID-19), but the relationship between glycosylated hemoglobin (HbA1c) level, inflammation, and prognosis of COVID-19 patients has not been explored. METHODS: This was a retrospective study of COVID-19 patients who underwent an HbA1c test. Their demographic data, medical history, signs and symptoms of COVID-19, laboratory test results, and final outcomes of COVID-19 treatment were collected and analyzed. RESULTS: A total of 132 patients were included and divided into three groups based on their blood glucose status. There were significant differences in SaO2, serum ferritin level, C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), fibrinogen (Fbg) level, and IL6 level among the three groups. A pairwise comparison of the groups showed that groups B and C were significantly different from group A in terms of CRP, ESR, and Fbg, IL6, and serum ferritin levels (P < 0.05). Correlation analysis showed that there was a linear negative correlation between SaO2 and HbA1c (r = -0.22, P = 0.01), while there was a linear positive correlation between serum ferritin, CRP, Fbg, and ESR levels and HbA1c (P < 0.05). CONCLUSIONS: High HbA1c level is associated with inflammation, hypercoagulability, and low SaO2 in COVID-19 patients, and the mortality rate (27.7%) is higher in patients with diabetes. Determining HbA1c level after hospital admission is thus helpful assessing inflammation, hypercoagulability, and prognosis of COVID-19 patients.

Prolonged preoperative fasting and prognosis in critically ill gastrointestinal surgery patients.

BACKGROUND AND OBJECTIVES: This study aimed to assess the influence of prolonged preoperative fasting on prognosis in elective surgery. METHODS AND STUDY DESIGN: A retrospective, controlled study involving patients admitted to our surgical intensive care unit who underwent a gastrointestinal operation under general anesthesia. Patients were divided into regular preoperative fasting time (n=57) and prolonged preoperative fasting time (n=73) groups. Clinical data were collected including patients' demographics, intraoperative and postoperative operation time, volume of blood loss, intensive care unit stay, hospital stay, postoperative complications and other factors. RESULTS: Patients in the regular preoperative fasting time group had less duration of mechanical ventilation support after surgery [245 (177, 450) min vs 315 (210, 812) min (p=0.021)] and the postoperative myocardial injuries (myocardial injury 2 cases vs 11 cases, p=0.038) and reoperation percentages (reoperation 0 cases vs 7 cases, p=0.044) were lower compared to the prolonged preoperative fasting time group. In addition, patients in the regular preoperative fasting time group presented with a significantly shorter period of postoperative fasting time [6.0 (5.0, 8.0) vs 8.0 (6.0, 13.0), p=0.005]. CONCLUSIONS: Prolonged preoperative fasting time led to unfavorable outcomes after gastrointestinal operations. Thus, reducing preoperative fasting time is likely to accelerate postoperative recovery in gastrointestinal surgery patients.

Importance of glycosylation in the interaction of Tamm-Horsfall protein with collectin-11 and acute kidney injury.

Both Tamm-Horsfall protein (THP) and collectin-11 (CL-11) are important molecules in acute kidney injury (AKI). In this study, we measured the change of glycosylation of THP in patients with AKI after surgery, using MALDI-TOF MS and lectin array analysis. The amount of high-mannose and core fucosylation in patients with AKI were higher than those in healthy controls. In vitro study showed that THP could bind to CL-11 with affinity at 9.41 × 10-7  mol/L and inhibited activation of complement lectin pathway. The binding affinity decreased after removal of glycans on THP. Removal of fucose completely ablated the binding between the two proteins. While removal of high-mannose or part of the N-glycan decreased the binding ability to 30% or 60%. The results indicated that increase of fucose on THP played an important role via complement lectin pathway in AKI.

CYTL1 Promotes the Activation of Neutrophils in a Sepsis Model.

As a novel cytokine, cytokine-like 1 (CYTL1) is a classical secretory protein, and its potential biological function remains to be determined. In this study, we found that expression of CYTL1 was upregulated in neutrophils upon inflammatory stimuli. We demonstrated that CYTL1 enhanced phagocytosis of Escherichia coli by activated neutrophils both in vivo and in vitro through phosphorylation of protein kinase B (Akt). CYTL1-induced chemotactic activity in lipopolysaccharide (LPS) stimulated neutrophils, and the mechanism may be related to CC chemokine receptor 2 (CCR2) mediated action. CYTL1 also increased the release of reactive oxygen species (ROS) in LPS-stimulated neutrophils. These data indicate that upon inflammatory stimulation, neutrophil-derived CYTL1 may play a crucial role in the activation of neutrophils during pathogenic infections.

Impact of individualized active surveillance of carbapenem-resistant enterobacteriaceae on the infection rate in intensive care units: a 3-year retrospective study in a teaching hospital of People's Republic of China.

Purpose: Active surveillance of carbapenem-resistant Enterobacteriaceae (CRE) may contribute to the decline of the infection rate. Individualized active surveillance of CRE could cost less than screening all patients. However, the impact of individualized active surveillance on the CRE infection rate in intensive care units (ICUs) has not been well described. Patients and methods: We retrospectively studied the clinical data of all patients admitted in the ICUs of a tertiary-care hospital in China from 2015 to 2017 during two periods, before and after the implementation of individualized active surveillance. During period 1 (January 2015-April 2016), no screening protocol was used. During period 2 (May 2016-December 2017), we implemented active CRE screening for selected patients according to their clinical characteristics. The trend of CRE rate infection was analyzed by a joinpoint regression model, and multivariate analysis was performed to analyze the association of active surveillance, Acute Physiology and Chronic Health Evaluation (APACHE) II score, prior antimicrobial use, length of mechanical ventilation (MV) before infection, and other risk factors with CRE infection rate. Results: A total of 5,372 patients were included. After assessing the patients' clinical characteristics, 72.3% (3,882/5,372) were considered to be at high risk of CRE infection. During period 1, the infection percent of CRE increased by 13.04% every month (95% CI: 5.2-21.5). During period 2, the infection rate decreased (monthly percent change, -3.57%; 95% CI -6.9 to -0.1, P<0.05). Multivariate analysis showed that individualized active surveillance (odds ratio, 0.146; 95% CI, 0.061-0.347; P<0.001) was associated with a reduction of the CRE infection rate, whereas APACHE II score, prior antimicrobial use, and length of MV before infection were independent risk factors. Conclusion: Individualized active surveillance may be associated with a reduction of the overall CRE infection rate in ICUs.