Predictive Value of Systemic Immune Inflammation Index in Septic Patients with Acute Kidney Injury.

BACKGROUND: Acute kidney injury (AKI) is common in patients with sepsis and may result in death. Systemic immune inflammation index (SII) is associated with kidney injury, but its predictive value for AKI in patients with sepsis remains unclear. OBJECTIVE: This study aimed to explore the predictive value of SII in sepsis patients with AKI. METHODS: From January 2020 to December 2022, 221 patients with sepsis treated in our hospital were retrospectively collected. The patients were divided into AKI group (n = 61) and control group (n = 160). Clinical characteristics and SII level were compared between the two groups, and the predictive value of SII for the occurrence of AKI was analysed. RESULTS: The SII level (724.72 ± 235.50 vs. 522.38 ± 205.62, p < 0.001), the serum procalcitonin level (8.13 ± 15.52 vs. 4.52 ± 10.34 µg/L, p < 0.001), and the acute physiology and chronic health evaluation II score (14.26 ± 2.90 vs. 11.62 ± 2.26, p < 0.001) significantly increased in the AKI group compared with the control group, whereas the albumin level significantly decreased (30.60 ± 5.41 vs. 32.49 ± 5.31 g/L, p = 0.019). The receiver operating characteristic curve showed that SII was valuable in predicting AKI in patients with sepsis, with an area under the curve of 0.733 (95% confidence interval: 0.657-0.810, p < 0.001). The continuous renal replacement therapy intervention rate (88.52% vs. 0.00%, p < 0.001), the intervention rate of vasoactive drugs (34.43% vs. 3.75%, p < 0.001), and the hospital mortality rate (16.39% vs. 2.50%, p < 0.001) significantly increased in the AKI group compared with the control group. CONCLUSIONS: AKI was associated with poor prognosis in patients with sepsis. SII, procalcitonin and acute physiology and chronic health evaluation II (APACHE II) score were valuable in predicting the occurrence of AKI. SII may serve as a new marker in patients with sepsis.

Predictive Value of Systemic Immune Inflammation Index in Septic Patients with Acute Kidney Injury

Background: Acute kidney injury (AKI) is common in patients with sepsis and may result in death. Systemic immune inflammation index (SII) is associated with kidney injury, but its predictive value for AKI in patients with sepsis remains unclear. Objective: This study aimed to explore the predictive value of SII in sepsis patients with AKI. Methods: From January 2020 to December 2022, 221 patients with sepsis treated in our hospital were retrospectively collected. The patients were divided into AKI group (n = 61) and control group (n = 160). Clinical characteristics and SII level were compared between the two groups, and the predictive value of SII for the occurrence of AKI was analysed. Results: The SII level (724.72 ± 235.50 vs. 522.38 ± 205.62, p < 0.001), the serum procalcitonin level (8.13 ± 15.52 vs. 4.52 ± 10.34 µg/L, p < 0.001), and the acute physiology and chronic health evaluation II score (14.26 ± 2.90 vs. 11.62 ± 2.26, p < 0.001) significantly increased in the AKI group compared with the control group, whereas the albumin level significantly decreased (30.60 ± 5.41 vs. 32.49 ± 5.31 g/L, p = 0.019). The receiver operating characteristic curve showed that SII was valuable in predicting AKI in patients with sepsis, with an area under the curve of 0.733 (95% confidence interval: 0.657–0.810, p < 0.001). The continuous renal replacement therapy intervention rate (88.52% vs. 0.00%, p < 0.001), the intervention rate of vasoactive drugs (34.43% vs. 3.75%, p < 0.001), and the hospital mortality rate (16.39% vs. 2.50%, p < 0.001) significantly increased in the AKI group compared with the control group. Conclusions: AKI was associated with poor prognosis in patients with sepsis. SII, procalcitonin and acute physiology and chronic health evaluation II (APACHE II) score were valuable in predicting the occurrence of AKI. SII may serve as a new marker in patients with sepsis (AU)

Comparison between the modified Blalock-Taussig shunt and right ventricular outflow tract stent in the palliative treatment for tetralogy of Fallot. / 改良Blalock-Taussigåˆ†æµæœ¯ä¸Žå³å¿ƒå®¤æµå‡ºé“æ”¯æž¶æ¤å ¥æœ¯å§‘æ¯æ€§æ²»ç–—æ³•æ´›å››è”ç—‡çš„æ¯”è¾ƒ.

OBJECTIVES: For patients with tetralogy of Fallot (TOF) who are not suitable candidates for primary corrective surgery or have a high surgical risk, transcatheter right ventricular outflow tract (RVOT) stent implantation is considered a safe and effective palliative intervention. This study aims to investigate the therapeutic outcomes of RVOT stent implantation in neonates and infants with TOF in comparison with the modified Blalock-Taussig shunt (mBTS) and to compare the impact of the 2 palliative interventions on arterial oxygen saturation and pulmonary artery development in pediatric patients. METHODS: Clinical data of 32 patients with TOF admitted to the Second Xiangya Hospital of Central South University from March 2011 to March 2021 were retrospectively collected. The patients were divided into an mBTS group (undergoing mBTS, n=15) and a stent implantation group (undergoing RVOT stenting, n=17) according to the surgical procedures. The 2 groups were assessed and compared in the surgical-related arterial oxygen saturation, postoperative complication rate, mortality rate, and re-intervention rate. The development of the patients' main pulmonary artery, right pulmonary artery, and left pulmonary artery was assessed by z-scores according to echocardiographic results. RESULTS: The children in the stent implantation group were younger and less weighed compared with the mBTS group (both P<0.05). Compared with the preoperative period, children in the stent implantation group had significantly higher arterial oxygen saturation [(75±17)% vs (96±3)%, P=0.026]; z-scores of pulmonary trunk [(-2.82±1.27) points vs (0.86±0.77) points, P=0.014], right pulmonary artery [(-1.88±0.59) points vs (-0.28±0.71) points, P=0.011], and left pulmonary artery [(-2.34±0.36) points vs (-1.67±0.36) points, P=0.036] were significantly increased. However, there were no significant differences in arterial oxygen saturation and pulmonary artery z-scores between pre- and post-mBTS procedures (all P>0.05). CONCLUSIONS: RVOT stent would have good surgical outcomes used in TOF patients with low weight and severe comorbidities. It also leads to an higher postoperative oxygen saturation and better promotion of pulmonary artery growth with RVOT stent compared to mBTS.

Predictive Model for PICC Occlusion Risk for Patients in Intensive Care Units: A Retrospective Clinical Study.

Context: Peripherally inserted central catheters (PICCs) have a high incidence of catheter occlusion, but research exploring the risk factors for such an occlusion for patients in intensive care units (ICUs) is lacking. Objective: The study intended to examine the impact of multiple risk factors on the occurrence of PICC catheter occlusion to find evidence that can help clinical medical staff identify patients at an early stage who are at high risk of a catheter occlusion. Design: The research team performed a retrospective, observational clinical study. Setting: The study took place at a tertiary general hospital, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University in Wenzhou, China. Participants: Participants were 300 patients with a PICC who received treatment in the hospital's adult ICU between January 2019 and April 2022. Groups: According to the time of catheterization, the research team numbered the 1~300 participants and then selected one starting number to divided them into two groups according to the random number table. These two groups were: (1) a training group with 225 participants and (2) validation group with 75 participants. Outcome Measures: The main outcome measure was the evaluation of the factors impacting patients who had had a PICC occlusion during catheter retention, including complete and incomplete occlusions, to build a risk prediction model of PICC occlusion. A secondary outcome measure was the occurrence of extubation of the PICC discharge of the ICU patient. The research team performed a univariate analysis of the training group's data and a multivariate logistic regression analysis of the risk factors. The team: (1) built a risk prediction model of PICC occlusion using the independent risk factors for catheter occlusion for PICC patients in an ICU and (2) used the Hosmer-Lemeshow goodness-of-fit test to test the prediction model. A two tailed using p>0.05 indicated that the model had a good fit. Then, the team applied the model to the validation group and evaluated the model's predictive ability using a receiver operating characteristic (ROC) curve. The team considered an area under the curve (AUC) >0.5 to have predictive value. The larger the area was, the better the predicted value was. The incidence of PICC occlusion in the training group was 18.22%, including 10 participants with complete occlusion and 31 with partial occlusion. The team used the SPSS 22.0 and R software for statistical analysis. Results: The univariate analysis showed that 13 factors were associated with PICC occlusion, including: (1) an age ≥65 years (P < .001), a BMI of ≥24 kg/m2 (P < .001), (2) a BMI of ≥24kg/m2 (P = .002), (3) diabetes (P < .001), (4) stroke (P < .001), (5) hypertension (P < .001), (6) malignant tumors (P < .001), (7) a history of deep vein thrombosis (P < .001), (8) limb activity (P < .001), (10) flushing and sealing pipe frequency of Q8h (P = .035), (11) retention time (P < .001), (12) an increased platelet count (P = .036), (13) blood transfusions (P < .001), and (14) intravenous nutrition (P < .001). The independent risk factors for PICC occlusion included: (1) age ≥65 years-OR=1.224, P = .028; (2) BMI ≥24 kg/m2-OR=1.679, P = .004; (3) diabetes-OR=1.343, P = .017; (4) malignant tumors-OR=2.736, P < .001; (5) blood transfusions-OR=1.947, P < .001), and (6) intravenous nutrition-OR=2.021, P < .001. The frequency of flushing and sealing the pipe (Q8h)-OR=-2.145, P = .002-was a protective factor. In the training group, the area under the curve (AUC) for predicting a PICC occlusion was 0.917. The Hosmer-Lemeshow test of the prediction model showed that no significant differences existed in the test results within the model (χ2 = 5.830, P = .666), indicating that the model passed the internal validation. The ideal and calibration curves of the prediction model were highly coincident, and the model was well calibrated. The Hosmer-Lemeshow test of the validation group showed that no significant differences existed in the test results outside the model, suggesting that the model had high consistency. Conclusions: Age ≥65 years, BMI ≥24 kg/m2, diabetes, malignant tumors, blood transfusions, and intravenous nutrition were independent risk factors for PICC occlusion, while the frequency of flushing and sealing pipe (Q8h) was a protective factor. This prediction model had an outstanding ability to discriminate in identifying patients with a high-risk of PICC occlusion in the ICU.

Propionate alleviated post-infarction cardiac dysfunction by macrophage polarization in a rat model.

BACKGROUND: The propionate (C3), the important components of short-chain fatty acids (SCFAs), had the effect of inhibiting pro-inflammatory macrophages. Earlier macrophages phenotypic transition from pro-inflammatory M1 to reparative M2 in early stage was a central juncture of cardiac dysfunction mitigation after myocardial infarction (MI). METHODS: 160 Sprague-Dawley rats were assigned to 4 groups: sham group (n = 40), sham + C3 group (n = 40), MI group (n = 40) and MI + C3 group (n = 40). The rats in sham + C3 and MI + C3 group were treated with oral sodium propionate (200 mM), and equivalent concentration of sodium chloride was administered in sham and MI group as control. After 7 days of propionate adaptive feeding, rats were anesthetized and induced the MI by coronary occlusion. The classification of macrophages, the level of inflammatory factors and inflammatory signaling were estimated at 3rd days after thoracotomy, and the extent of myocardial fibrosis was evaluated at 7th and 28th days after operation. Echocardiography was estimated on 28th day after surgery. RAW264.7 cells, stimulated by LPS + IFN-γ with or without propionate, were harvested for western blot and supernatants were collected for cytokine analysis by ELISA. RESULTS: Propionate administration reduced the MI-induced myocardial fibrosis in infarcted border and attenuated cardiac function deterioration compared with MI group. In comparison with MI group, propionate promoted macrophages reduction, macrophage M2-like polarization, and inflammatory cytokines decrease in infarcted border zone following MI, which partly depends on the inhibition of JNK/P38/NFκB signaling pathways. CONCLUSIONS: Oral propionate in early stage, as a nutritional intervention, alleviated post-MI chronic cardiac remodeling and cardiac dysfunction at least in part by modulating macrophages polarization and pro-inflammatory cytokine, which were associated with reduction of JNK/P38/NFκB phosphorylation.

The short-chain fatty acid propionate improved ventricular electrical remodeling in a rat model with myocardial infarction.

The short-chain fatty acid (SCFA) propionate (C3), a microorganism metabolite produced by gut microbial fermentation, has parasympathetic-activation effects. The cardiac autonomic rebalancing strategy is considered as an important therapeutic approach to myocardial infarction (MI)-produced ventricular arrhythmias (VAs). Thus, our research was designed to clarify the potential functions of the SCFA propionate in VAs and cardiac electrophysiology in MI rats. A hundred adult Sprague-Dawley rats were allocated to four groups: the sham group (200 mM sodium chloride), the sham + C3 group (200 mM propionate), the MI group (200 mM sodium chloride) and the MI + C3 group (200 mM propionate). In comparison with the sham group, propionate significantly increased the parasympathetic components heart rate variability (HRV) and acetylcholine levels, prolonged cardiac repolarization, induced STAT3 phosphorylation and up-regulated the c-fos expression in nodose ganglia and solitary nucleus. Propionate intake reduced the susceptibility to VAs. MI induced by coronary ligation caused a significant increase in the sympathetic components HRV, abnormal repolarization, global repolarization dispersion, norepinephrine and inflammatory cytokines, reduction and redistribution of Connexin 43 in the infarcted border zone, and activation of NFκB, which were attenuated in the MI + C3 group. Oral propionate supplementation, as a nutritional intervention, protected the heart against MI-induced VAs and cardiac electrophysiology instability partly by parasympathetic activation based on the gut-brain axis.

Body Mass Index Is Associated with the Severity and All-Cause Mortality of Acute Kidney Injury in Critically Ill Patients: An Analysis of a Large Critical Care Database.

BACKGROUND: Acute kidney injury (AKI) is a common clinical syndrome carrying high morbidity and mortality. Body mass index (BMI) is a common health indicator, and a high BMI value-obesity has been shown to be associated with the outcomes of several diseases. However, the relationship between different BMI categories and mortality in all critically ill patients with AKI is unclear and needs further investigation. Therefore, we evaluated the ability of BMI to predict the severity and all-cause mortality of AKI in critically ill patients. METHODS: We extracted clinical data from the MIMIC-III v1.4 database. All adult patients with AKI were initially screened. The baseline data extracted within 24 hours after ICU admission were presented according to WHO BMI categories. Logistic regression models and the Cox proportional hazards models were, respectively, constructed to assess the relationship between BMI and the severity and all-cause mortality of AKI. The generalized additive model (GAM) was used to identify nonlinear relationships as BMI was a continuous variable. The subgroup analyses were performed to further analyze the stability of the association between BMI category and 365-day all-cause mortality of AKI. RESULT: A total of 15,174 patients were extracted and were divided into four groups according to BMI. Obese patients were more likely to be young and male. In the fully adjusted logistic regression model, we found that overweight and obesity were significant predictors of AKI stage III (OR, 95 CI: 1.17, 1.05-1.30; 1.32, 1.18-1.47). In the fully adjusted Cox proportional hazards model, overweight and obesity were associated with significantly lower 30-day, 90-day, and 365-day all-cause mortality. The corresponding adjusted HRs (95 CIs) for overweight patients were 0.87 (0.77, 0.99), 0.84 (0.76, 0.93), and 0.80 (0.74, 0.88), and for obese patients, they were 0.87 (0.77, 0.98), 0.79 (0.71, 0.88), and 0.73 (0.66, 0.80), respectively. The subgroup analyses further presented a stable relationship between BMI category and 365-day all-cause mortality. CONCLUSIONS: BMI was independently associated with the severity and all-cause mortality of AKI in critical illness. Overweight and obesity were associated with increased risk of AKI stage III; however, they were predictive of a relatively lower mortality risk in these patients.

Increased neutrophil percentage-to-albumin ratio is associated with all-cause mortality in patients with severe sepsis or septic shock.

There has been no study exploring the prognostic values of neutrophil percentage-to-albumin ratio (NPAR). We hypothesised that NPAR is a novel marker of inflammation and is associated with all-cause mortality in patients with severe sepsis or septic shock. Patient data were extracted from the MIMIC-III V1.4 database. Only the data for the first intensive care unit (ICU) admission of each patient were used and baseline data were extracted within 24 h after ICU admission. The clinical endpoints were 30-, 90- and 365-day all-cause mortality in critically ill patients with severe sepsis or septic shock. Cox proportional hazards models and subgroup analyses were used to determine the relationship between NPAR and these clinical endpoints. A total of 2166 patients were eligible for this analysis. In multivariate analysis, after adjustments for age, ethnicity and gender, higher NPAR was associated with increased risk of 30-, 90- and 365-day all-cause mortality in critically ill patients with severe sepsis or septic shock. Furthermore, after adjusting for more confounding factors, higher NPAR remained a significant predictor of all-cause mortality (tertile 3 vs. tertile 1: HR, 95% CI: 1.29, 1.04-1.61; 1.41, 1.16-1.72; 1.44, 1.21-1.71). A similar trend was observed in NPAR levels stratified by quartiles. Higher NPAR was associated with increased risk of all-cause mortality in critically ill patients with severe sepsis or septic shock.

The Neutrophil Percentage-to-Albumin Ratio Is Associated with All-Cause Mortality in Critically Ill Patients with Acute Kidney Injury.

BACKGROUND: There is no evidence to suggest the predictive power of neutrophil percentage-to-albumin ratio (NPAR) in patients with acute kidney injury (AKI). We hypothesized that NPAR would correlate with all-cause mortality in critically ill patients with AKI. METHODS: From the MIMIC-III V1.4 database, we extracted demographics, vital signs, comorbidities, laboratory tests, and other clinical data. The clinical endpoints were 30-, 90- and 365-day all-cause mortality in critically ill patients with AKI. Cox proportional hazards models were used to evaluate the prognostic values of NPAR, and subgroup analyses were performed to measure mortality across various subgroups. RESULTS: A total of 7,481 eligible subjects were enrolled. In multivariate analysis, after adjustments for age, ethnicity, gender, and other confounding factors, higher NPARs were associated with an increased risk of 30-, 90- and 365-day all-cause mortality in critically ill patients with AKI (tertile 3 versus tertile 1: adjusted HR, 95% CI: 1.48, 1.30-1.69; 1.47, 1.31-1.66; 1.46, 1.32-1.62, respectively; P trend <0.01). A similar trend was observed in the NPAR group division by quintiles. Subgroup analysis revealed no significant interactions in most strata. CONCLUSIONS: Increased NPAR correlates with increased risk of all-cause mortality in critically ill patients with AKI.

Serum Anion Gap Predicts All-Cause Mortality in Critically Ill Patients with Acute Kidney Injury: Analysis of the MIMIC-III Database.

BACKGROUND: No epidemiological study has investigated the effect of anion gap (AG) on the prognosis of critically ill patients with acute kidney injury (AKI). Therefore, we aimed to determine the association between serum AG and all-cause mortality in these patients. METHODS: From MIMIC III, we extracted demographics, vital signs, laboratory tests, comorbidities, and scoring systems from the first 24 h after patient ICU admission. A generalized additive model was used to identify a nonlinear association between anion gap and 30-day all-cause mortality. We also used the Cox proportional hazards models to measure the association between AG levels and 30-day, 90-day, and 365-day mortality in patients with AKI. RESULTS: A total of 11,573 eligible subjects were extracted from the MIMIC-III. The relationship between AG levels and 30-day all-cause mortality in patients with AKI was nonlinear, with a U-shaped curve. In multivariate analysis, after adjusting for potential confounders, higher AG was a significant predictor of 30-day, 90-day, and 365-day all-cause mortality compared with lower AG (HR, 95% CI: 1.54, 1.33-1.75; 1.55, 1.38-1.73; 1.46, 1.31-1.60). CONCLUSIONS: The relationship between AG levels and 30-day all-cause mortality described a U-shaped curve. High-AG levels were associated with increased risk 30-day, 90-day, and 365-day all-cause mortality in critically ill patients with AKI.

Association of serum total and ionized calcium with all-cause mortality incritically ill patients with acute kidney injury.

BACKGROUND: There have been no epidemiological studies exploring the prognostic ability of serum total and ionized calcium (tCa and iCa) in critically ill patients with acute kidney injury (AKI). We assessed the association of admission tCa and iCa concentrations with all-cause mortality in these patients. METHODS: We extracted clinical data from the MIMIC-III V1.4 database. Only the data for the first intensive care unit (ICU) admission of each patient were used and baseline data were extracted within 24 h after ICU admission. Cox proportional hazards models and subgroup analyses were used to determine the relationship between tCa and iCa concentrations and 30, 90 and 365-day all-cause mortality in critically ill patients with AKI. A total of 10,207 eligible patients were studied. In multivariate analysis, adjusted for age, ethnicity and gender, both low-tCa (< 7.9 mg/dl) and low-iCa (<1.06 mmol/l) concentrations were significant predictors of risk of all-cause mortality. Furthermore, after adjusting for more confounding factors, low-iCa concentrations remained a significant predictor of all-cause mortality at 30 days, 90 days, 365 days (HR, 95% CI: 1.19, 1.06-1.33; 1.15, 1.05-1.27; 1.10, 1.01-1.20). CONCLUSIONS: Low-iCa concentrations were independent predictors of all-cause mortality in critically ill patients with AKI.