Colistin utilization at a tertiary hospital in South Africa: an opportunity for antimicrobial stewardship practices.

Introduction. Colistin (polymyxin E) has emerged as a last-resort treatment option for multidrug-resistant infections.Hypothesis/Gap Statement. Studies on the use, safety and efficacy of colistin in South Africa are limited.Aim. This study aims to describe the use of colistin and its clinical outcomes at a tertiary public hospital in South Africa.Methodology. We conducted a retrospective review of adult and paediatric patients who received parenteral colistin between 2015 and 2019.Results. A total of 69 patients (26 adults, 13 children and 30 neonates) were reviewed. Acinetobacter baumannii was the most common causative pathogen isolated (70.1 %). Colistin was predominately used to treat septicaemia (75.4 %). It was primarily administered as definitive therapy (71.0 %) and as monotherapy (56.5 %). It was used in 11.5 % of adults with infections susceptible to other antibiotics. Loading doses of intravenous colistin were administered in only 15 (57.7 %) adult patients. Neurotoxicity and nephrotoxicity occurred in 5.8 % and 43.5 % of patients, respectively. Clinical cure was achieved in 37 (53.6 %) patients. On multivariate logistic regression analysis, adults [adjusted odds ratio (aOR), 25.54; 95 % CI, 2.73-238.65; P < 0.01] and children (aOR, 8.56; 95 % CI, 1.06-69.10; P < 0.05) had higher odds of death than neonates.Conclusion. The study identified significant stewardship opportunities to improve colistin prescription and administration. Achieving optimal patient outcomes necessitates a multidisciplinary approach and vigilant monitoring of colistin use.

[Development and validation of a nomogram for predicting 3-month mortality risk in patients with sepsis-associated acute kidney injury].

OBJECTIVE: To develop and evaluate a nomogram prediction model for the 3-month mortality risk of patients with sepsis-associated acute kidney injury (S-AKI). METHODS: Based on the American Medical Information Mart for Intensive Care- IV (MIMIC- IV), clinical data of S-AKI patients from 2008 to 2021 were collected. Initially, 58 relevant predictive factors were included, with all-cause mortality within 3 months as the outcome event. The data were divided into training and testing sets at a 7 : 3 ratio. In the training set, univariate Logistic regression analysis was used for preliminary variable screening. Multicollinearity analysis, Lasso regression, and random forest algorithm were employed for variable selection, combined with the clinical application value of variables, to establish a multivariable Logistic regression model, visualized using a nomogram. In the testing set, the predictive value of the model was evaluated through internal validation. The receiver operator characteristic curve (ROC curve) was drawn, and the area under the curve (AUC) was calculated to evaluate the discrimination of nomogram model and Oxford acute severity of illness score (OASIS), sequential organ failure assessment (SOFA), and systemic inflammatory response syndrome score (SIRS). The calibration curve was used to evaluate the calibration, and decision curve analysis (DCA) was performed to assess the net benefit at different probability thresholds. RESULTS: Based on the survival status at 3 months after diagnosis, patients were divided into 7 768 (68.54%) survivors and 3 566 (31.46%) death. In the training set, after multiple screenings, 7 variables were finally included in the nomogram model: Logistic organ dysfunction system (LODS), Charlson comorbidity index, urine output, international normalized ratio (INR), respiratory support mode, blood urea nitrogen, and age. Internal validation in the testing set showed that the AUC of nomogram model was 0.81 [95% confidence interval (95%CI) was 0.80-0.82], higher than the OASIS score's 0.70 (95%CI was 0.69-0.71) and significantly higher than the SOFA score's 0.57 (95%CI was 0.56-0.58) and SIRS score's 0.56 (95%CI was 0.55-0.57), indicating good discrimination. The calibration curve demonstrated that the nomogram model's calibration was better than the OASIS, SOFA, and SIRS scores. The DCA curve suggested that the nomogram model's clinical net benefit was better than the OASIS, SOFA, and SIRS scores at different probability thresholds. CONCLUSIONS: A nomogram prediction model for the 3-month mortality risk of S-AKI patients, based on clinical big data from MIMIC- IV and including seven variables, demonstrates good discriminative ability and calibration, providing an effective new tool for assessing the prognosis of S-AKI patients.

[Construction and validation of a predictive model for early occurrence of lower extremity deep venous thrombosis in ICU patients with sepsis].

OBJECTIVE: To investigate the risk factors of lower extremity deep venous thrombosis (LEDVT) in patients with sepsis during hospitalization in intensive care unit (ICU), and to construct a nomogram prediction model of LEDVT in sepsis patients in the ICU based on the critical care scores combined with inflammatory markers, and to validate its effectiveness in early prediction. METHODS: 726 sepsis patients admitted to the ICU of the Affiliated Hospital of Jining Medical University from January 2015 to December 2021 were retrospectively included as the training set to construct the prediction model. In addition, 213 sepsis patients admitted to the ICU of the Affiliated Hospital of Jining Medical University from January 2022 to June 2023 were retrospectively included as the validation set to verify the performance of the prediction model. Clinical data of patients were collected, such as demographic information, vital signs at the time of admission to the ICU, underlying diseases, past history, various types of scores within 24 hours of admission to the ICU, the first laboratory indexes of admission to the ICU, lower extremity venous ultrasound results, treatment, and prognostic indexes. Lasso regression analysis was used to screen the influencing factors for the occurrence of LEDVT in sepsis patients, and the results of Logistic regression analysis were synthesized to construct a nomogram model. The nomogram model was evaluated by receiver operator characteristic curve (ROC curve), calibration curve, clinical impact curve (CIC) and decision curve analysis (DCA). RESULTS: The incidence of LEDVT after ICU admission was 21.5% (156/726) in the training set of sepsis patients and 21.6% (46/213) in the validation set of sepsis patients. The baseline data of patients in both training and validation sets were comparable. Lasso regression analysis showed that seven independent variables were screened from 67 parameters to be associated with the occurrence of LEDVT in patients with sepsis. Logistic regression analysis showed that the age [odds ratio (OR) = 1.03, 95% confidence interval (95%CI) was 1.01 to 1.04, P < 0.001], body mass index (BMI: OR = 1.05, 95%CI was 1.01 to 1.09, P = 0.009), venous thromboembolism (VTE) score (OR = 1.20, 95%CI was 1.11 to 1.29, P < 0.001), activated partial thromboplastin time (APTT: OR = 0.98, 95%CI was 0.97 to 0.99, P = 0.009), D-dimer (OR = 1.03, 95%CI was 1.01 to 1.04, P < 0.001), skin or soft-tissue infection (OR = 2.53, 95%CI was 1.29 to 4.98, P = 0.007), and femoral venous cannulation (OR = 3.72, 95%CI was 2.50 to 5.54, P < 0.001) were the independent influences on the occurrence of LEDVT in patients with sepsis. The nomogram model was constructed by combining the above variables, and the ROC curve analysis showed that the area under the curve (AUC) of the nomogram model for predicting the occurrence of LEDVT in patients with sepsis was 0.793 (95%CI was 0.746 to 0.841), and the AUC in the validation set was 0.844 (95%CI was 0.786 to 0.901). The calibration curve showed that its predicted probability was in good agreement with the actual probabilities were in good agreement, and both CIC and DCA curves suggested a favorable net clinical benefit. CONCLUSIONS: The nomogram model based on the critical illness scores combined with inflammatory markers can be used for early prediction of LEDVT in ICU sepsis patients, which helps clinicians to identify the risk factors for LEDVT in sepsis patients earlier, so as to achieve early treatment.

[Analysis of 28 day-mortality risk factors in sepsis patients and construction and validation of predictive model].

OBJECTIVE: To construct and validate a nomogram model for predicting the risk of 28-day mortality in sepsis patients. METHODS: A retrospective cohort study was conducted. 281 sepsis patients admitted to the department of intensive care unit (ICU) of the 940th Hospital of the Joint Logistics Support Force of PLA from January 2017 to December 2022 were selected as the research subjects. The patients were divided into a training set (197 cases) and a validation set (84 cases) according to a 7 : 3 ratio. The general information, clinical treatment measures and laboratory examination results within 24 hours after admission to ICU were collected. Patients were divided into survival group and death group based on 28-day outcomes. The differences in various data were compared between the two groups. The optimal predictive variables were selected using Lasso regression, and univariate and multivariate Logistic regression analyses were performed to identify factors influencing the mortality of sepsis patients and to establish a nomogram model. Receiver operator characteristic curve (ROC curve), calibration curve, decision curve analysis (DCA), and clinical impact curve (CIC) were used to evaluate the nomogram model. RESULTS: Out of 281 cases of sepsis, 82 cases died with a mortality of 29.18%. The number of patients who died in the training and validation sets was 54 and 28, with a mortality of 27.41% and 33.33% respectively. Lasso regression, univariate and multivariate Logistic regression analysis screened for 5 independent predictors associated with 28-day mortality. There were use of vasoactive drugs [odds ratio (OR) = 5.924, 95% confidence interval (95%CI) was 1.244-44.571, P = 0.043], acute physiology and chronic health evaluation II (APACHE II: OR = 1.051, 95%CI was 1.000-1.107, P = 0.050), combined with multiple organ dysfunction syndrome (MODS: OR = 17.298, 95%CI was 5.517-76.985, P < 0.001), neutrophil count (NEU: OR = 0.934, 95%CI was 0.879-0.988, P = 0.022) and oxygenation index (PaO2/FiO2: OR = 0.994, 95%CI was 0.988-0.998, P = 0.017). A nomogram model was constructed using the independent predictive factors mentioned above, ROC curve analysis showed that the AUC of the nomogram model was 0.899 (95%CI was 0.856-0.943) and 0.909 (95%CI was 0.845-0.972) for the training and validation sets respectively. The C-index was 0.900 and 0.920 for the training and validation sets respectively, with good discrimination. The Hosmer-Lemeshoe tests both showed P > 0.05, indicating good calibration. Both DCA and CIC plots demonstrate the model's good clinical utility. CONCLUSIONS: The use of vasoactive, APACHE II score, comorbid MODS, NEU and PaO2/FiO2 are independent risk factors for 28-day mortality in patients with sepsis. The nomogram model based on these 5 indicators has a good predictive ability for the occurrence of mortality in sepsis patients.

[Construction and application of sepsis bundle therapy management and practice program].

OBJECTIVE: To construct a bundled therapy management and practice program for sepsis and explore its clinical application effect. METHODS: (1) Construction of sepsis bundled therapy management and practice program: a project team was established to conduct literature review, select experts, compile and distribute questionnaires, organize, analyze expert opinions, and ensure quality control throughout the research process. From October to November 2022, expert letter consultation was carried out, and questionnaires were distributed and collected by on-site filling and WeChat. The Likert 5-point scale was used to rate each item. (2) Clinical application of the protocol: ninety patients with sepsis admitted to the intensive care unit (ICU) of the First Affiliated Hospital of Xinjiang Medical University from January to July 2022 were retrospectively selected as the control group, and routine bundle treatment and nursing strategy for sepsis were adopted. Ninety patients with sepsis admitted from January to July 2023 were prospectively selected as the intervention group. Based on the treatment and nursing strategy of the control group, sepsis bundled therapy management and practice program constructed using the Delphi inquiry method was implemented. The completion rate of 1-hour, 3-hour and 6-hour bundle, the levels of inflammatory indicators at 1, 3, 7 days of treatment, and prognostic indicators were compared between the two groups. RESULTS: (1) Construction of sepsis bundled therapy management and practice program: the final plan consists of 4 primary indicators, 15 secondary indicators and 34 tertiary indicators. The response rates for both rounds of inquiry questionnaires were 100%. The coefficients of expert authority value were 0.948 and 0.940, respectively. The coefficient of variation for each item was 0-0.287 and 0-0.187, respectively. Kendall's W coefficients were 0.242 and 0.249, respectively, with statistical significances (all P < 0.05). (2) Clinical application of the protocol: there were no statistically significant differences in baseline data such as age, gender, infection site, pathogen species, duration of mechanical ventilation, sequential organ failure assessment (SOFA), acute physiology and chronic health evaluation II (APACHE II) between the two groups. The completion rate of 1-hour, 3-hour and 6-hour bundle in the intervention group were higher than those in the control group (1-hour bundle completion rate: 53.30% vs. 21.10%, 3-hour bundle completion rate: 92.20% vs. 80.00%, 6-hour bundle completion rate: 88.89% vs. 65.56%, all P < 0.05). The levels of C-reactive protein (CRP), white blood cell count (WBC), procalcitonin (PCT), and interleukin-6 (IL-6) in two groups of patients showed statistically significant differences at different time points, between groups, and in interaction effects. Compared with the control group, the length of ICU stay in the intervention group was significantly shortened [days: 7.00 (4.00, 14.00) vs. 8.00 (7.00, 20.00), P < 0.01], and the hospitalization cost of ICU was significantly reduced [ten thousand yuan: 4.63 (3.36, 6.19) vs. 6.46 (3.32, 11.34), P < 0.05]. The 28-day mortality in the intervention group was lower than that in the control group (33.33% vs. 46.67%), but the difference was not statistically significant (P > 0.05). CONCLUSIONS: The constructed bundled therapy management and practice program for sepsis can improve the completion rate of bundle treatment, shorten the length of ICU stay of sepsis patients, reduce the hospitalization cost in ICU, and have a tendency to reduce the 28-day mortality.

[Impact of cecal ligation and puncture-induced sepsis on the proliferation and differentiation of intestinal stem cells].

OBJECTIVE: To analyze the impact of cecal ligation and puncture (CLP)-induced sepsis on the proliferation and differentiation of intestinal epithelial cells. METHODS: (1) Animal experiment: sixteen male C57BL/6 mice were divided into sham operation group (Sham group) and CLP-induced sepsis model group (CLP group) by random number table method, with 8 mice in each group. After 5 days of operation, the jejunal tissues were taken for determination of leucine-rich-repeat-containing G-protein-coupled receptor 5 (LGR5) and intestinal alkaline phosphatase (IAP) by polymerase chain reaction (PCR). The translation of LGR5 was detected by Western blotting. The expression of proliferating cell nuclear antigen (Ki67) was analyzed by immunohistochemistry. IAP level was detected by modified calcium cobalt staining and colorimetry. Immunofluorescence staining was used to detect the expression of Paneth cell marker molecule lysozyme 1 (LYZ1) and goblet cell marker molecule mucin 2 (MUC2). (2) Cell experiment: IEC6 cells in logarithmic growth stage were divided into blank control group and lipopolysaccharide (LPS) group (LPS 5 µg/mL). Twenty-four hours after treatment, PCR and Western blotting were used to analyze the transcription and translation of LGR5. The proliferation of IEC6 cells were detected by 5-ethynyl-2'-deoxyuridine (EdU) staining. The transcription and translation of IAP were detected by PCR and colorimetric method respectively. RESULTS: (1) Animal experiment: the immunohistochemical results showed that the positive rate of Ki67 staining in the jejunal tissue of CLP group was lower than that of Sham group [(41.7±2.5)% vs. (48.7±1.4)%, P = 0.01]. PCR and Western blotting results showed that there were no statistical differences in the mRNA and protein expressions of LGR5 in the jejunal tissue between the CLP group and Sham group (Lgr5 mRNA: 0.7±0.1 vs. 1.0±0.2, P = 0.11; LGR5/ß-actin: 0.83±0.17 vs. 0.68±0.19, P = 0.24). The mRNA (0.4±0.1 vs. 1.0±0.1, P < 0.01) and protein (U/g: 47.3±6.0 vs. 73.1±15.3, P < 0.01) levels of IAP in the jejunal tissue were lower in CLP group. Immunofluorescence saining analysis showed that the expressions of LYZ1 and MUC2 in the CLP group were lower than those in the Sham group. (2) Cell experiment: PCR and Western blotting results showed that there was no significant difference in the expression of LGR5 between the LPS group and the blank control group (Lgr5 mRNA: 0.9±0.1 vs. 1.0±0.2, P = 0.33; LGR5/ß-actin: 0.71±0.18 vs. 0.69±0.04, P = 0.81). The proliferation rate of IEC6 cells in the LPS group was lower than that in the blank control group, but there was no significant difference [positivity rate of EdU: (40.5±3.8)% vs. (46.5±3.6)%, P = 0.11]. The mRNA (0.5±0.1 vs. 1.0±0.2, P < 0.01) and protein (U/g: 15.0±4.0 vs. 41.2±10.4, P < 0.01) of IAP in the LPS group were lower than those in the blank control group. CONCLUSIONS: CLP-induced sepsis inhibits the proliferation and differentiation of intestinal epithelial cells, impairing the self-renewal ability of intestinal epithelium.

[Nuclear factor E2-related factor 2 protein mediates sepsis-associated liver injury by regulating ferroptosis].

OBJECTIVE: To investigate the effect of nuclear factor E2-related factor 2 (Nrf2) protein on ferroptosis in mice with sepsis-associated liver injury (SALI). METHODS: he male Sprague-Dawley (SD) mice were divided into 6 groups according to the random number table method, with 6 mice in each group. The SALI model of mice was established by cecal ligation and puncture (CLP), and the Sham group was only treated with laparotomy. CLP+Fer-1 group, CLP+Erastin group, CLP+ML385 group and CLP+Curcumin group were intraperitoneally injected with iron death inhibitor Ferrostatin-1 (Fer-1) 10 mg×kg-1×d-1, iron death activator Erastin 20 mg×kg-1×d-1, Nrf2 inhibitor ML385 30 mg×kg-1×d-1 and Nrf2 activator Curcumin 100 mg×kg-1×d-1 after CLP, respectively; Sham group and CLP group were given normal saline 10 mg×kg-1×d-1, each group was administered continuously for 10 days. Ten days after operation, the serum and liver tissues of mice were collected to detect the levels of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) in serum, and the levels of malondialdehyde (MDA), glutathione (GSH) and Fe2+; in liver homogenate. The pathological changes of liver tissue were observed under light microscope after hematoxylin-eosin (HE) staining. The shape and length of mitochondria in liver cells were observed under transmission electron microscope. The protein expressions of Nrf2, glutathione peroxidase 4 (GPX4) and prostaglandin-endoperoxide synthase 2 (PTGS2) in liver tissue were detected by Western blotting. RESULTS: Compared with Sham group, the serum levels of ALT and AST in the CLP group were significantly increased; histologically, the hepatic cord was disordered, the cells were swollen and necrotic, and the length of mitochondria was significantly shortened; the levels of MDA and Fe2+ in liver tissue increased significantly, and the content of GSH decreased significantly; the protein expressions of Nrf2 and GPX4 in liver tissue decreased, and the protein expression of PTGS2 increased significantly. Compared with CLP group, the serum levels of ALT and AST in CLP+Fer-1 group and CLP+Curcumin group were significantly decreased [ALT (U/L): 80.65±19.44, 103.45±20.52 vs. 283.50±37.12, AST (U/L): 103.33±11.90, 127.33±15.79 vs. 288.67±36.82, all P < 0.05]; microscopically, the hepatic cord was irregular, the cells were slightly swollen, and the mitochondrial length was significantly increased (µm: 1.42±0.09, 1.43±0.21 vs. 1.07±0.25, both P < 0.05); the levels of MDA and Fe2+; in liver tissue decreased significantly, and the content of GSH increased significantly [MDA (mol/g): 0.87±0.23, 1.85±0.43 vs. 4.47±0.95, Fe2+ (µg/g): 63.80±7.15, 67.48±6.28 vs. 134.52±14.32, GSH (mol/g): 1.95±0.29, 1.95±0.45 vs. 0.55±0.29, all P < 0.05]; the protein expressions of Nrf2 and GPX4 in liver tissue were significantly increased, and the protein expression of PTGS2 was significantly decreased (Nrf2/GAPDH: 1.80±0.28, 2.10±0.43 vs. 0.70±0.24, GPX4/GAPDH: 0.80±0.06, 0.93±0.07 vs. 0.48±0.02, PTGS2/GAPDH: 0.76±0.05, 0.84±0.01 vs. 1.02±0.09, all P < 0.05). However, the results of the above indexes in the CLP+Erastin group and CLP+ML385 group were opposite, and the serum levels of ALT and AST were significantly increased [ALT (U/L): 344.52±40.79, 321.70±21.10 vs. 283.50±37.12, AST (U/L): 333.50±27.90, 333.00±16.67 vs. 288.67±36.82, all P < 0.05]; microscopically, the arrangement of hepatic cords was disordered, the cells were obviously swollen and necrotic, and the length of mitochondria was significantly shortened (µm: 0.78±0.13, 0.67±0.07 vs. 1.07±0.25, both P < 0.05); the levels of MDA and Fe2+ in liver tissue increased significantly, and the content of GSH decreased significantly [MDA (mol/g): 5.92±1.06, 5.62±0.56 vs. 4.47±0.95, Fe2+ (µg/g): 151.40±8.03, 151.88±8.68 vs. 134.52±14.32, GSH (mol/g): 0.25±0.08, 0.23±0.11 vs. 0.55±0.29, all P < 0.05]; the protein expressions of Nrf2 and GPX4 in liver tissue were significantly decreased, and the protein expression of PTGS2 was significantly increased (Nrf2/GAPDH: 0.46±0.09, 0.46±0.11 vs. 0.70±0.24, GPX4/GAPDH: 0.34±0.05, 0.40±0.01 vs. 0.48±0.02, PTGS2/GAPDH: 1.24±0.13, 1.16±0.11 vs. 1.02±0.09, all P < 0.05). CONCLUSIONS: CLP-induced SALI can lead to ferroptosis in mice hepatocytes, and Nrf2 protein in liver tissue can mediate SALI by regulating ferroptosis.

Clinical biomarker profiles reveals gender differences and mortality factors in sepsis.

Background: Sepsis is a major contributor to global morbidity and mortality, affecting millions each year. Notwithstanding the decline in sepsis incidence and mortality over decades, gender disparities in sepsis outcomes persist, with research suggesting higher mortality rates in males. Methods: This retrospective study aims to delineate gender-specific clinical biomarker profiles impacting sepsis progression and mortality by examining sepsis cases and related clinical data from the past three years. Propensity score matching was used to select age-matched healthy controls for comparison. Results: Among 265 sepsis patients, a significantly higher proportion were male (60.8%, P<0.001). While mortality did not significantly differ by gender, deceased patients were significantly older (mean 69 vs 43 years, P=0.003), more likely to have hypertension (54% vs 25%, P=0.019), and had higher SOFA scores (mean ~10 vs 4, P<0.01) compared to survivors. Principal Component Analysis (PCA) showed clear separation between sepsis patients and healthy controls. 48 serum biomarkers were significantly altered in sepsis, with Triiodothyronine, Apolipoprotein A, and Serum cystatin C having the highest diagnostic value by ROC analysis. Gender-stratified comparisons identified male-specific (e.g. AFP, HDLC) and female-specific (e.g. Rheumatoid factor, Interleukin-6) diagnostic biomarkers. Deceased patients significantly differed from survivors, with 22 differentially expressed markers; Antithrombin, Prealbumin, HDL cholesterol, Urea nitrogen and Hydroxybutyrate had the highest diagnostic efficiency for mortality. Conclusion: These findings enhance our understanding of gender disparities in sepsis and may guide future therapeutic strategies. Further research is warranted to validate these biomarker profiles and investigate the molecular mechanisms underlying these gender differences in sepsis outcomes.

Immunotherapy in the context of sepsis-induced immunological dysregulation.

Sepsis is a clinical syndrome caused by uncontrollable immune dysregulation triggered by pathogen infection, characterized by high incidence, mortality rates, and disease burden. Current treatments primarily focus on symptomatic relief, lacking specific therapeutic interventions. The core mechanism of sepsis is believed to be an imbalance in the host's immune response, characterized by early excessive inflammation followed by late immune suppression, triggered by pathogen invasion. This suggests that we can develop immunotherapeutic treatment strategies by targeting and modulating the components and immunological functions of the host's innate and adaptive immune systems. Therefore, this paper reviews the mechanisms of immune dysregulation in sepsis and, based on this foundation, discusses the current state of immunotherapy applications in sepsis animal models and clinical trials.

Clinical predictive value of the CRP-albumin-lymphocyte index for prognosis of critically ill patients with sepsis in intensive care unit: a retrospective single-center observational study.

Background: Sepsis is a complex syndrome characterized by physiological, pathological, and biochemical abnormalities caused by infection. Its development is influenced by factors such as inflammation, nutrition, and immune status. Therefore, we combined C-reactive protein (CRP), albumin, and lymphocyte, which could reflect above status, to be the CRP-albumin-lymphocyte (CALLY) index, and investigated its association with clinical prognosis of critically ill patients with sepsis. Methods: This retrospective observational study enrolled critically ill patients with sepsis who had an initial CRP, albumin, and lymphocyte data on the first day of ICU admission. All data were obtained from the Affiliated Hospital of Jiangsu University. The patients were divided into quartiles (Q1-Q4) based on their CALLY index. The outcomes included 30-/60-day mortality and acute kidney injury (AKI) occurrence. The association between the CALLY index and these clinical outcomes in critically ill patients with sepsis was evaluated using Cox proportional hazards and logistic regression analysis. Results: A total of 1,123 patients (63.0% male) were included in the study. The 30-day and 60-day mortality rates were found to be 28.1 and 33.4%, respectively, while the incidence of AKI was 45.6%. Kaplan-Meier analysis revealed a significant association between higher CALLY index and lower risk of 30-day and 60-day mortality (log-rank p < 0.001). Multivariate Cox proportional hazards analysis indicated that the CALLY index was independently associated with 30-day mortality [HR (95%CI): 0.965 (0.935-0.997); p = 0.030] and 60-day mortality [HR (95%CI): 0.969 (0.941-0.997); p = 0.032]. Additionally, the multivariate logistic regression model showed that the CALLY index served as an independent risk predictor for AKI occurrence [OR (95%CI): 0.982 (0.962-0.998); p = 0.033]. Conclusion: The findings of this study indicated a significant association between the CALLY index and both 30-day and 60-day mortality, as well as the occurrence of AKI, in critically ill patients with sepsis. These findings suggested that the CALLY index may be a valuable tool in identifying sepsis patients who were at high risk for unfavorable outcomes.

Lactobacillus rhamnosus GG improves cognitive impairments in mice with sepsis.

Background: Survivors of sepsis may encounter cognitive impairment following their recovery from critical condition. At present, there is no standardized treatment for addressing sepsis-associated encephalopathy. Lactobacillus rhamnosus GG (LGG) is a prevalent bacterium found in the gut microbiota and is an active component of probiotic supplements. LGG has demonstrated to be associated with cognitive improvement. This study explored whether LGG administration prior to and following induced sepsis could ameliorate cognitive deficits, and explored potential mechanisms. Methods: Female C57BL/6 mice were randomly divided into three groups: sham surgery, cecal ligation and puncture (CLP), and CLP+LGG. Cognitive behavior was assessed longitudinally at 7-9d, 14-16d, and 21-23d after surgery using an open field test and novel object recognition test. The impact of LGG treatment on pathological changes, the expression level of brain-derived neurotrophic factor (BDNF), and the phosphorylation level of the TrkB receptor (p-TrkB) in the hippocampus of mice at two weeks post-CLP (16d) were evaluated using histological, immunofluorescence, immunohistochemistry, and western blot analyses. Results: The CLP surgery induced and sustained cognitive impairment in mice with sepsis for a minimum of three weeks following the surgery. Compared to mice subjected to CLP alone, the administration of LGG improved the survival of mice with sepsis and notably enhanced their cognitive functioning. Moreover, LGG supplementation significantly alleviated the decrease in hippocampal BDNF expression and p-TrkB phosphorylation levels caused by sepsis, preserving neuronal survival and mitigating the pathological changes within the hippocampus of mice with sepsis. LGG supplementation mitigates sepsis-related cognitive impairment in mice and preserves BDNF expression and p-TrkB levels in the hippocampus.

Association of mental disorders with sepsis: a bidirectional Mendelian randomization study.

Background: Substantial research evidence supports the correlation between mental disorders and sepsis. Nevertheless, the causal connection between a particular psychological disorder and sepsis remains unclear. Methods: For investigating the causal relationships between mental disorders and sepsis, genetic variants correlated with mental disorders, including anorexia nervosa (AN), attention-deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), major depressive disorder (MDD), obsessive-compulsive disorder (OCD), panic disorder (PD), posttraumatic stress disorder (PTSD), schizophrenia (SCZ), and tourette syndrome (TS), were all extracted from the Psychiatric Genomics Consortium (PGC). The causal estimates and direction between these mental disorders and sepsis were evaluated employing a two-sample bidirectional MR strategy. The inverse variance weighted (IVW) method was the primary approach utilized. Various sensitivity analyses were performed to confirm the validity of the causal effect. Meta-analysis, multivariable MR, and mediation MR were conducted to ensure the credibility and depth of this research. Results: The presence of AN was in relation to a greater likelihood of sepsis (OR 1.08, 95% CI 1.02-1.14; p = 0.013). A meta-analysis including validation cohorts supported this observation (OR 1.06, 95% CI 1.02-1.09). None of the investigated mental disorders appeared to be impacted when sepsis was set as the exposure factor. Even after adjusting for confounding factors, AN remained statistically significant (OR 1.08, 95% CI 1.02-1.15; p = 0.013). Mediation analysis indicated N-formylmethionine levels (with a mediated proportion of 7.47%), cystatin D levels (2.97%), ketogluconate Metabolism (17.41%) and N10-formyl-tetrahydrofolate biosynthesis (20.06%) might serve as mediators in the pathogenesis of AN-sepsis. Conclusion: At the gene prediction level, two-sample bidirectional MR analysis revealed that mental disorder AN had a causal association with an increased likelihood of sepsis. In addition, N-formylmethionine levels, cystatin D levels, ketogluconate metabolism and N10-formyl-tetrahydrofolate biosynthesis may function as potential mediators in the pathophysiology of AN-sepsis. Our research may contribute to the investigation of novel therapeutic strategies for mental illness and sepsis.

ACR Appropriateness Criteria® Sepsis.

Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to infection. A search for the underlying cause of infection typically includes radiological imaging as part of this investigation. This document focuses on thoracic and abdominopelvic causes of sepsis. In 2017, the global incidence of sepsis was estimated to be 48.9 million cases, with 11 million sepsis-related deaths (accounting for nearly 20% of all global deaths); therefore, understanding which imaging modalities and types of studies are acceptable or not acceptable is imperative. The 5 variants provided include the most commonly encountered scenarios in the setting of sepsis along with recommendations and data for each imaging study. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.

Effects of NADPH oxidase inhibitor of the Etlingera elatior (E. elatior) fruits extracts in animal sepsis models.

Infectious diseases with complications of sepsis are still public health concern in both developed and developing countries. Sepsis is a potentially life-threatening systemic immune response to infection that can lead to end- stage organ failure and death. Sepsis involves multiple mechanisms such as neuroendocrine, complement activation, blood coagulation, and fibrinolytic system. Reactive oxygen species (ROS) is an inflammatory mediator produced by NADPH oxidase activation. This study aimed to investigate the effects of ethanol extract of E. elatior fruits on NADPH oxidase activity. Forty Mus musculus mice were randomized divided into five groups (n=8), with the intervention group receiving an intraperitoneal injection of 0.3 mg/kg BW lipopolysaccharide (LPS). There was a normal group without LPS injection (N-1), LPS injection only (N-2), and those that received LPS injection and ethanol extracts of E. elatior fruits containing 2.1 mg/20 g (N-3), 4.2 mg/20 g (N-4), and 8.4 mg/20 g (N-5). NADPH oxidase activity were measured using ELISA. The oneway ANOVA was used to investigate the differences between the groups. After administration of the extract at a varied dose, N-5 group the lowest NADPH oxidase activity (p=0.001). The ethanol extract of E. elatior fruit has antioxidant effects. In this study, a dose of 8.4 mg/20 g of extract significantly reduced NADPH oxidase activity. The ethanol extract of E. elatior might be considered a treatment in sepsis.

Circulating bacterial peptides and linked metabolomic signatures are indicative of early mortality in pediatric cirrhosis.

BACKGROUND: Patients with pediatric cirrhosis-sepsis (PC-S) attain early mortality. Plasma bacterial composition, the cognate metabolites, and their contribution to the deterioration of patients with PC-S to early mortality are unknown. We aimed to delineate the plasma metaproteome-metabolome landscape and identify molecular indicators capable of segregating patients with PC-S predisposed to early mortality in plasma, and we further validated the selected metabolite panel in paired 1-drop blood samples using untargeted metaproteomics-metabolomics by UHPLC-HRMS followed by validation using machine-learning algorithms. METHODS: We enrolled 160 patients with liver diseases (cirrhosis-sepsis/nonsepsis [n=110] and noncirrhosis [n=50]) and performed untargeted metaproteomics-metabolomics on a training cohort of 110 patients (Cirrhosis-Sepsis/Nonsepsis, n=70 and noncirrhosis, n=40). The candidate predictors were validated on 2 test cohorts-T1 (plasma test cohort) and T2 (1-drop blood test cohort). Both T1 and T2 had 120 patients each, of which 70 were from the training cohort. RESULTS: Increased levels of tryptophan metabolites and Salmonella enterica and Escherichia coli-associated peptides segregated patients with cirrhosis. Increased levels of deoxyribose-1-phosphate, N5-citryl-d-ornithine, and Herbinix hemicellulolytic and Leifsonia xyli segregated patients with PC-S. MMCN-based integration analysis of WMCNA-WMpCNA identified key microbial-metabolic modules linked to PC-S nonsurvivors. Increased Indican, Staphylobillin, glucose-6-phosphate, 2-octenoylcarnitine, palmitic acid, and guanidoacetic acid along with L. xyli, Mycoplasma genitalium, and Hungateiclostridium thermocellum segregated PC-S nonsurvivors and superseded the liver disease severity indices with high accuracy, sensitivity, and specificity for mortality prediction using random forest machine-learning algorithm. CONCLUSIONS: Our study reveals a novel metabolite signature panel capable of segregating patients with PC-S predisposed to early mortality using as low as 1-drop blood.

Delays to Antibiotics in the Emergency Department and Risk of Mortality in Children With Sepsis.

Importance: Pediatric consensus guidelines recommend antibiotic administration within 1 hour for septic shock and within 3 hours for sepsis without shock. Limited studies exist identifying a specific time past which delays in antibiotic administration are associated with worse outcomes. Objective: To determine a time point for antibiotic administration that is associated with increased risk of mortality among pediatric patients with sepsis. Design, Setting, and Participants: This retrospective cohort study used data from 51 US children's hospitals in the Improving Pediatric Sepsis Outcomes collaborative. Participants included patients aged 29 days to less than 18 years with sepsis recognized within 1 hour of emergency department arrival, from January 1, 2017, through December 31, 2021. Piecewise regression was used to identify the inflection point for sepsis-attributable 3-day mortality, and logistic regression was used to evaluate odds of sepsis-attributable mortality after adjustment for potential confounders. Data analysis was performed from March 2022 to February 2024. Exposure: The number of minutes from emergency department arrival to antibiotic administration. Main Outcomes and Measures: The primary outcome was sepsis-attributable 3-day mortality. Sepsis-attributable 30-day mortality was a secondary outcome. Results: A total of 19 515 cases (median [IQR] age, 6 [2-12] years) were included. The median (IQR) time to antibiotic administration was 69 (47-116) minutes. The estimated time to antibiotic administration at which 3-day sepsis-attributable mortality increased was 330 minutes. Patients who received an antibiotic in less than 330 minutes (19 164 patients) had sepsis-attributable 3-day mortality of 0.5% (93 patients) and 30-day mortality of 0.9% (163 patients). Patients who received antibiotics at 330 minutes or later (351 patients) had 3-day sepsis-attributable mortality of 1.2% (4 patients), 30-day mortality of 2.0% (7 patients), and increased adjusted odds of mortality at both 3 days (odds ratio, 3.44; 95% CI, 1.20-9.93; P = .02) and 30 days (odds ratio, 3.63; 95% CI, 1.59-8.30; P = .002) compared with those who received antibiotics within 330 minutes. Conclusions and Relevance: In this cohort of pediatric patients with sepsis, 3-day and 30-day sepsis-attributable mortality increased with delays in antibiotic administration 330 minutes or longer from emergency department arrival. These findings are consistent with the literature demonstrating increased pediatric sepsis mortality associated with antibiotic administration delay. To guide the balance of appropriate resource allocation with time for adequate diagnostic evaluation, further research is needed into whether there are subpopulations, such as those with shock or bacteremia, that may benefit from earlier antibiotics.

Random forest differentiation of Escherichia coli in elderly sepsis using biomarkers and infectious sites.

This study addresses the challenge of accurately diagnosing sepsis subtypes in elderly patients, particularly distinguishing between Escherichia coli (E. coli) and non-E. coli infections. Utilizing machine learning, we conducted a retrospective analysis of 119 elderly sepsis patients, employing a random forest model to evaluate clinical biomarkers and infection sites. The model demonstrated high diagnostic accuracy, with an overall accuracy of 87.5%, and impressive precision and recall rates of 93.3% and 87.5%, respectively. It identified infection sites, platelet distribution width, reduced platelet count, and procalcitonin levels as key predictors. The model achieved an F1 Score of 90.3% and an area under the receiver operating characteristic curve of 88.0%, effectively differentiating between sepsis subtypes. Similarly, logistic regression and least absolute shrinkage and selection operator analysis underscored the significance of infectious sites. This methodology shows promise for enhancing elderly sepsis diagnosis and contributing to the advancement of precision medicine in the field of infectious diseases.