Significado biológico y utilidad clínica del lactato en la sepsis / Biological significance and clinical utility of lactate in sepsis

La sepsis es un problema global de salud y la progresión hacia el shock séptico se asocia con un incremento marcado de la morbimortalidad. En este escenario, el aumento del lactato plasmático demostró ser un indicador de gravedad y un predictor de mortalidad, y suele interpretarse casi exclusivamente como marcador de baja perfusión tisular. Sin embargo, últimamente se produjo un cambio de paradigma en la exégesis del metabolismo y propiedades biológicas del lactato. En efecto, la adaptación metabólica al estrés, aun con adecuado aporte de oxígeno, puede justificar la elevación del lactato circulante. Asimismo, otras consecuencias fisiopatológicas de la sepsis, como la disfunción mitocondrial, se asocian con el desarrollo de hiperlactatemia sin que necesariamente se acompañen de baja perfusión tisular. Interpretar el origen y la función del lactato puede resultar de suma utilidad clínica en la sepsis, especialmente cuando sus niveles circulantes fundamentan las medidas de reanimación.

Sepsis is a global health problem; progression to septic shock is associated with a marked increase in morbidity and mortality. In this setting, increased plasma lactate levels demonstrated to be an indicator of severity and a predictor of mortality, and are usually interpreted almost exclusively as a marker of low tissue perfusion. However, a recent paradigm shift has occurred in the exegesis of lactate metabolism and its biological properties. Indeed, metabolic adaptation to stress, even with an adequate oxygen supply, may account for high circulating lactate levels. Likewise, other pathophysiological consequences of sepsis, such as mitochondrial dysfunction, are associated with the development of hyperlactatemia, which is not necessarily accompanied by low tissue perfusion. Interpreting the origin and function of lactate may be of great clinical utility in sepsis, especially when circulating lactate levels are the basis for resuscitative measures.

Herramientas para el diagnóstico de la sepsis / Tools for Diagnosis in Sepsis

La sepsis representa en la actualidad un problema emergente en salud. Los consensos alcanzados sobre las definiciones de sepsis y sus complicaciones asociadas han permitido establecer con mayor precisión la magnitud del problema. A pesar de la instauración de protocolos uniformes de actuación, la sepsis continúa siendo la primera causa de muerte en la Unidad de Cuidados Intensivos Pediátricos (UCIP) y la cuarta causa de defunción en los hospitalizados no coronarios.1 La sepsis severa fue definida en The Third International Consensus Definitions for Sepsis an Septic Shock como el síndrome de respuesta inflamatoria sistémica asociada a infección que cursa con disfunción aguda de un órgano, hipoperfusión o hipotensión, considerada como un proceso continuo.2 Se han realizado diversos estudios donde la mortalidad anual atribuible a sepsis grave es de 135 000 casos en Europa, y es superior en Estados Unidos con 200 000 casos, superada discretamente por las muertes por infarto agudo de miocardio. Estados Unidos ocupa el lugar número 11 como causa aislada de fallecimiento, se estima que más de 500 pacientes mueren diariamente a consecuencia de esta enfermedad, hecho que se transforma en un significativo desafío para la salud pública.3 Por lo que significa lo anteriormente expuesto, en reuniones de consensos, los laboratorios se han visto retados y han facilitado el diagnóstico con herramientas útiles. Marcadores biológicos de infección El retraso en la instauración de un tratamiento adecuado de las infecciones y de la sepsis se asocia a una mayor mortalidad, por lo que es crucial establecer un diagnóstico precoz en este contexto. Los análisis microbiológicos que confirman o no la presencia de infección suelen tardar, en ese sentido se han buscado marcadores biológicos que puedan servir como indicadores fiables de la infección grave y la sepsis. Dada la complejidad creciente de la fisiopatología de la sepsis a medida que avanza en su conocimiento, es probable que el éxito llegue, no a través de un único marcador, sino a través de la combinación de varios de ellos que tengan en cuenta distintos aspectos de la respuesta del huésped. La combinación de varios marcadores puede ayudar a vencer las limitaciones en sensibilidad y especificidad de un solo biomarcador. Características de un marcador ideal Precisión Sensibilidad alta: pacientes que presentan respuesta inflamatoria mínima o ausente. Especificidad: lograr discriminar la infección de otros padecimientos que causan el síndrome de respuesta inflamatoria sistémica (SRIS). Valor predictivo positivo (VPP) y valor predictivo negativo (VPN). Diagnóstico certero con reactantes de fase aguda La proteína C reactiva (PCR) de alta sensibilidad es un marcador precoz de infección e inflamación con una vida media plasmática de 19 h. Su concentración plasmática en adulto sano es de 0,08 mg/dL. Su biocinética se hace útil como marcador de respuesta terapéutica y diagnóstica de infecciones intercurrentes. Las determinaciones seriadas de estas es un buen indicador de la actividad inflamatoria. Sus grandes elevaciones se deben a infecciones bacterianas. Las determinaciones seriadas diarias de PCR pueden ser útiles para el diagnóstico precoz en las infecciones nosocomiales es de ≥ 5 mg/dL o ≥ 25 % del valor previo. La procalcitonina es una hormona producida por células parenquimatosas, proteína de la familia CAPA precursora de la calcitonina. En condiciones normales las concentraciones en sangre son muy bajas, menor de 0,09 ng/mL. Tienen una vida media de 22-35 h. No se conocen valores umbrales, diagnósticos y pronósticos, pero los valores mayores de 2 ng/mL suelen indicar la presencia de sepsis. Los valores mayores de 10 ng/mL suelen asociarse a sepsis grave y shock séptico. Los niveles de procalcitonina (PCT) son superiores a la PCR en el diagnóstico de sepsis por lo que debería ser incluida en las guías diagnósticas de sepsis. Podemos decir además, que la interleucina 6 (IL-6), fue descrita inicialmente como interferón beta-2, como factor de crecimiento de plasmocitoma o factor estimulante de hepatocitos.4 Es generada por un único gen que codifica un producto de 212 aminoácidos y es la citoquina que más consistentemente se ha asociado con la mortalidad por sepsis, por su acción proinflamatoria es uno de los principales inductores de la síntesis de la PCR en el hígado, por lo que muestra picos séricos más precoces que esta.5 Las determinaciones secuenciales de estas en el suero plasma en pacientes internados en la unidad de cuidados intensivos han demostrado ser útiles para evaluar la severidad del síndrome de respuesta inflamatoria(AU)

Application and Prospect of Nanopore Sequencing Technology in Etiological Diagnosis of Blood Stream Infection / 中国医学科学院学报

Blood stream infection (BSI),a blood-borne disease caused by microorganisms such as bacteria,fungi,and viruses,can lead to bacteremia,sepsis,and infectious shock,posing a serious threat to human life and health.Identifying the pathogen is central to the precise treatment of BSI.Traditional blood culture is the gold standard for pathogen identification,while it has limitations in clinical practice due to the long time consumption,production of false negative results,etc.Nanopore sequencing,as a new generation of sequencing technology,can rapidly detect pathogens,drug resistance genes,and virulence genes for the optimization of clinical treatment.This paper reviews the current status of nanopore sequencing technology in the diagnosis of BSI.

The predictive value of platelet-to-lymphocyte ratio for weaning failure in septic patients receiving mechanical ventilation / 中华预防医学杂志

Objective: To determine the ability of the ratio of platelet to lymphocyte (PLR) for predicting extubation failure in septic patients receiving invasive mechanical ventilation (IMV). Methods: The retrospective cohort study was conducted in ICU at Beijing Chao-Yang Hospital Shijingshan District, Capital Medical University in China from January, 2010 to December, 2019, including patients with sepsis who received IMV. 180 patients were enrolled in the study, including 111 male and 69 female, with the age range of 23-93 years and the median age of 76 years, and with an average age of 71.22 years. The medical records were reviewed, such as age, sex, acute physiology and chronic health evaluation II (APACHEII), sequential organ failure assessment (SOFA), spontaneous breathing trial (SBT) outcome, weaning outcome, complete blood count before SBT. According to weaning outcome, patients were divided into weaning failure and weaning success group. The difference of PLR, white blood cell(WBC), C-reaction protein (CRP) and procalcitonin (PCT) were compared between weaning failure and success group. Receiver-operating characteristics (ROC) curves and multivariate logistical regression analysis were employed to analyze the performance of these inflammatory markers for predicting weaning failure in patients with sepsis. Results: 180 patients with sepsis were included in the study and 37 patients (20.5%) experienced weaning failure (31 SBT failure and 6 extubation failure after successful SBT). PLR was higher in weaning failure group than that in weaning success group (Z=-5.793,P<0.001). Other inflammation biomarkers such as WBC, CRP and PCT were also higher in weaning failure group than that in weaning success group(Z=-4.356, -3.118 and -2.743, P<0.001, 0.002 and 0.006, respectively). According to ROC curves, PLR has a better predictive ability for weaning failure (AUC=0.809,95%CI 0.733-0.885) when compared to WBC (AUC=0.773,95%CI 0.648-0.817), CRP (AUC=0.666,95%CI 0.577-0.755) and PCT (AUC=0.603,95%CI 0.508-0.698). The cutoff value of PLR for predicting weaning failure was 257.69 with sensitivity 78.38%, specificity 76.22%, and diagnostic accuracy 71.66%. According to multivariate logistic regression analyses, PLR>257.69 was an independent risk factor for predicting weaning failure in patients with sepsis. Conclusions: PLR may be a valuable biomarker for predicting weaning failure in septic patients receiving IMV, and the patients with higher PLR should be handled with caution since they are at higher risk of weaning failure, and some more effective treatment should be in consideration after extubation.

Clinical value of new coagulation biomarkers in pediatric sepsis / 中华儿科杂志

Objective: To evaluate the clinical value of new coagulation biomarkers including soluble thrombomodulin (sTM) and tissue plasminogen activator inhibitor complex (t-PAI·C) for the diagnosis and prognosis of sepsis in children. Methods: The prospective observational study enrolled 59 children who were diagnosed with sepsis including severe sepsis and septic shock in the Department of Pediatric Critical Care Medicine of Shanghai Children's Medical Center affiliated to the Medical College of Shanghai Jiao Tong University from June 2019 to June 2021. The sTM, t-PAI·C and conventional coagulation tests were detected on illness day one of sepsis. Twenty healthy children were selected as the control group, and the above parameters were detected on the day of inclusion. Children with sepsis were divided into survival group and non-survival group according to prognosis at discharge. Baseline comparisons between groups were performed using Mann-Whitney U test. Multivariate Logistic regression analysis was used to evaluate the risk factors for the diagnosis and prognosis of sepsis in children. Receiver operating characteristic (ROC) curve was conducted to evaluate the predictive values of above variables for the diagnosis and prognosis of sepsis in children. Results: The sepsis group included 59 patients (39 boys and 20 girls), aged 61(22, 136)months. There were 44 patients in the survival group and 15 patients in the non-survival group, respectively. The control group consisted of 20 boys, aged 107 (94,122) months. Patients in the sepsis group had higher sTM and t-PAI·C ((12 (9, 17)×103 vs. 9(8, 10)×103 TU/L, 10(6, 22) vs. 2 (1, 3) μg/L, Z=-2.15, -6.05, both P<0.05) compared with children in the control group. The t-PAI·C was superior to sTM for the diagnosis of sepsis. The areas under the curve (AUC) of t-PAI·C and sTM for the diagnosis of sepsis were 0.95 and 0.66, respectively, and the optimal cut-off value were 3 μg/L and 12×103 TU/L, respectively. Patients in the survival group had lower sTM (10 (8, 14)×103 vs. 17 (11, 36)×103 TU/L, Z=-2.73, P=0.006) than those in the non-survival group. Logistic regression analysis showed that sTM was a risk factor for death at discharge (OR=1.14, 95%CI 1.04-1.27, P=0.006). The AUC of sTM and t-PAI·C for predicting death at discharge were 0.74 and 0.62, respectively, and the optimal cut-off values were 13×103 TU/L and 6 μg/L, respectively. The AUC of sTM combined with platelet counts for predicting death at discharge was 0.89, which was superior to sTM and t-PAI·C. Conclusion: The sTM and t-PAI·C had clinical application values in diagnosing and predicting prognosis in pediatric sepsis.

Analysis of clinical characteristics and risk factors of early heat stroke-related acute liver injury / 中华危重病急救医学

OBJECTIVE@#To analyze the clinical characteristics and risk factors of early acute liver injury in patients with heat stroke (HS), and to provide basis for early identification of HS-related liver injury and its pathogenesis in clinical practice.@*METHODS@#The clinical data of patients with HS admitted to the department of critical care medicine of Haian People's Hospital from June 2015 to August 2022 were retrospectively analyzed. The patients with HS were divided into early liver injury group and early non-liver injury group according to the occurrence of acute liver injury within 24 hours of admission. The differences of basic data, clinical data, laboratory indexes and clinical outcomes of the two groups were analyzed. Logistic regression was used to analyze the risk factors for early HS-related acute liver injury, and receiver operator characteristic (ROC) curves were drawn to evaluate their value in predicting the occurrence of early HS-related acute liver injury.@*RESULTS@#A total of 76 patients with HS were enrolled, and 46 patients with acute liver injury, accounting for 60.53%. In the early liver injury group, 14 patients (30.43%) had elevated aminotransferase alone, 9 patients (19.57%) had elevated total bilirubin (TBil) alone, and 23 patients (50.00%) had elevated both aminotransferase and TBil. Among the patients with elevated aminotransferases, 24 patients (64.87%) had mild elevation, 5 patients (13.51%) had moderate elevation, 8 patients (21.62%) had severe elevation. Compared with the early non-liver injury group, acute physiology and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA), arterial blood lactate (Lac), interleukin-6 (IL-6), procalcitonin (PCT), alanine aminotransferase (ALT), aspartate aminotransferase (AST), TBil, γ-gamma glutamyl transferase (γ-GGT), lactate dehydrogenase (LDH), creatine kinase (CK), MB isoenzyme of creatine kinase (CK-MB), cardiac troponin I (cTnI), myoglobin (MYO), N-terminal B-type pro-brain natriuretic peptide (NT-proBNP), prothrombin time (PT), activated partial thromboplastin time (APTT), D-dimer in the early liver injury group were significantly increased, while platelet count (PLT) were significantly decreased within 24 hours after admission, the 28-day mortality was significantly increased [28.26% (13/46) vs. 6.67% (2/30)], and the differences were statistically significant (all P < 0.05). Univariate Logistic regression analysis showed that APACHE II score, SOFA score, PLT, Lac, IL-6, PCT, γ-GGT, LDH, CK, CK-MB, cTnI, MYO, PT, APTT, D-dimer were risk factors of early HS-related acute liver injury (all P < 0.05). Multivariate Logistic regression analysis showed that PLT, IL-6, and LDH were independent risk factors of early HS-related acute liver injury [odds ratio (OR) and 95% confidence interval (95%CI) were 0.986 (0.974-0.998), 1.027 (1.012-1.041), and 1.002 (1.000-1.004), all P < 0.05]. The ROC curve analysis showed that the area under the ROC curve (AUC) of PLT, IL-6 and LDH for predicting the occurrence of early HS-related acute liver injury was 0.672 (95%CI was 0.548-0.797), 0.897 (95%CI was 0.824-0.971) and 0.833 (95%CI was 0.739-0.927), respectively. IL-6 had the highest predictive value for early HS-related liver injury. When the optimal diagnostic threshold of IL-6 was 48.25 ng/L, the sensitivity was 95.7%, the specificity was 73.3%, and the predictive value of PLT was the lowest.@*CONCLUSIONS@#The early HS-related liver injury is mainly manifested as the simultaneous elevation of aminotransferase and TBil, and most of cases are mild liver injury. PLT, IL-6 and LDH are independent risk factors of early HS-related acute liver injury.

Analysis of lymphocyte subsets in patients with sepsis and its impact on prognosis / 中华危重病急救医学

OBJECTIVE@#To explore the characteristics of changes in peripheral blood lymphocyte subsets in patients with sepsis in intensive care unit (ICU) and analyze their predictive value for prognosis.@*METHODS@#The clinical data of sepsis patients admitted to the surgical intensive care unit (SICU) of the First Affiliated Hospital of Zhengzhou University from January 2020 to December 2021 were analyzed retrospectively. The patients met the diagnostic criteria of Sepsis-3 and were ≥ 18 years old. Peripheral venous blood samples were collected from all patients on the next morning after admission to SICU for routine blood test and peripheral blood lymphocyte subsets. According to the 28-day survival, the patients were divided into two groups, and the differences in immune indexes between the two groups were compared. Logistic regression analysis was used to analyze the risk factors of immune indexes that affect prognosis.@*RESULTS@#(1) A total of 279 patients with sepsis were enrolled in the experiment, of which 198 patients survived at 28 days (28-day survival rate 71.0%), and 81 patients died (28-day mortality 29.0%). There were no significant differences in age (years old: 57.81±1.71 vs. 54.99±1.05) and gender (male: 60.5% vs. 63.6%) between the death group and the survival group (both P > 0.05), and the baseline data was comparable.(2) Acute physiology and chronic health evalution II (APACHE II: 22.06±0.08 vs. 14.08±0.52, P < 0.001), neutrophil percentage [NEU%: (88.90±1.09)% vs. (84.12±0.77)%, P = 0.001], procalcitonin [PCT (μg/L): 11.97±2.73 vs. 5.76±1.08, P = 0.011], platelet distribution width (fL: 16.81±0.10 vs. 16.57±0.06, P = 0.029) were higher than those in the survival group, while lymphocyte percentage [LYM%: (6.98±0.78)% vs. (10.59±0.86)%, P = 0.012], lymphocyte count [LYM (×109/L): 0.70±0.06 vs. 0.98±0.49, P = 0.002], and platelet count [PLT (×109/L): 151.38±13.96 vs. 205.80±9.38, P = 0.002], and thrombocytocrit [(0.15±0.01)% vs. (0.19±0.07)%, P = 0.012] were lower than those in the survival group. (3) There was no statistically significant difference in the percentage of lymphocyte subsets between the death group and the survival group, but the absolute value of LYM (pieces/μL: 650.24±84.67 vs. 876.64±38.02, P = 0.005), CD3+ absolute value (pieces/μL: 445.30±57.33 vs. 606.84±29.25, P = 0.006), CD3+CD4+ absolute value (pieces/μL: 239.97±26.96 vs. 353.49±18.59, P = 0.001), CD19+ absolute value (pieces/μL: 111.10±18.66 vs. 150.30±10.15, P = 0.049) in the death group was lower than those in the survival group. Other lymphocyte subsets in the death group, such as CD3+CD8+ absolute value (pieces/μL: 172.40±24.34 vs. 211.22±11.95, P = 0.112), absolute value of natural killer cell [NK (pieces/μL): 101.26±18.15 vs. 114.72±7.64, P = 0.420], absolute value of natural killer T cell [NKT (pieces/μL): 33.22±5.13 vs. 39.43±2.85, P = 0.262], CD4-CD8- absolute value (pieces/μL: 41.07±11.07 vs. 48.84±3.31, P = 0.510), CD4+CD8+ absolute value (pieces/μL: 3.39±1.45 vs. 3.47±0.36, P = 0.943) were not significantly different from those in the survival group. (4)Logistic regression analysis showed that lymphocyte subsets were not selected as immune markers with statistical significance for the prognosis of sepsis.@*CONCLUSIONS@#The changes of immune indexes in sepsis patients are closely related to their prognosis. Early monitoring of the above indexes can accurately evaluate the condition and prognosis of sepsis patients.

Construction of a predictive model for in-hospital mortality of sepsis patients in intensive care unit based on machine learning / 中华危重病急救医学

OBJECTIVE@#To analyze the risk factors of in-hospital death in patients with sepsis in the intensive care unit (ICU) based on machine learning, and to construct a predictive model, and to explore the predictive value of the predictive model.@*METHODS@#The clinical data of patients with sepsis who were hospitalized in the ICU of the Affiliated Hospital of Jining Medical University from April 2015 to April 2021 were retrospectively analyzed,including demographic information, vital signs, complications, laboratory examination indicators, diagnosis, treatment, etc. Patients were divided into death group and survival group according to whether in-hospital death occurred. The cases in the dataset (70%) were randomly selected as the training set for building the model, and the remaining 30% of the cases were used as the validation set. Based on seven machine learning models including logistic regression (LR), K-nearest neighbor (KNN), support vector machine (SVM), decision tree (DT), random forest (RF), extreme gradient boosting (XGBoost) and artificial neural network (ANN), a prediction model for in-hospital mortality of sepsis patients was constructed. The receiver operator characteristic curve (ROC curve), calibration curve and decision curve analysis (DCA) were used to evaluate the predictive performance of the seven models from the aspects of identification, calibration and clinical application, respectively. In addition, the predictive model based on machine learning was compared with the sequential organ failure assessment (SOFA) and acute physiology and chronic health evaluation II (APACHE II) models.@*RESULTS@#A total of 741 patients with sepsis were included, of which 390 were discharged after improvement, 351 died in hospital, and the in-hospital mortality was 47.4%. There were significant differences in gender, age, APACHE II score, SOFA score, Glasgow coma score (GCS), heart rate, oxygen index (PaO2/FiO2), mechanical ventilation ratio, mechanical ventilation time, proportion of norepinephrine (NE) used, maximum NE, lactic acid (Lac), activated partial thromboplastin time (APTT), albumin (ALB), serum creatinine (SCr), blood urea nitrogen (BUN), blood uric acid (BUA), pH value, base excess (BE), and K+ between the death group and the survival group. ROC curve analysis showed that the area under the curve (AUC) of RF, XGBoost, LR, ANN, DT, SVM, KNN models, SOFA score, and APACHE II score for predicting in-hospital mortality of sepsis patients were 0.871, 0.846, 0.751, 0.747, 0.677, 0.657, 0.555, 0.749 and 0.760, respectively. Among all the models, the RF model had the highest precision (0.750), accuracy (0.785), recall (0.773), and F1 score (0.761), and best discrimination. The calibration curve showed that the RF model performed best among the seven machine learning models. DCA curve showed that the RF model exhibited greater net benefit as well as threshold probability compared to other models, indicating that the RF model was the best model with good clinical utility.@*CONCLUSIONS@#The machine learning model can be used as a reliable tool for predicting in-hospital mortality in sepsis patients. RF models has the best predictive performance, which is helpful for clinicians to identify high-risk patients and implement early intervention to reduce mortality.

Prognostic evaluation of coagulation indicators for patients with acute fatty liver of pregnancy / 中华危重病急救医学

OBJECTIVE@#To explore the relevant clinical test indicators that affect the prognosis of patients with acute fatty liver of pregnancy (AFLP), and to provide a basis for early diagnosis and correct selection of treatment methods.@*METHODS@#A retrospective analysis was conducted. Clinical data of AFLP patients in the intensive care unit (ICU) of the First Affiliated Hospital of Zhengzhou University from January 2010 to May 2021 were collected. According to the 28-day prognosis, the patients were divided into death group and survival group. The clinical data, laboratory examination indicators, and prognosis of the two groups were compared, and further binary Logistic regression analysis was used to analyze the risk factors affecting the prognosis of patients. At the same time, the values of related indicators at each time point (24, 48, 72 hours) after the start of treatment were recorded. The receiver operator characteristic curve (ROC curve) of prothrombin time (PT) and international normalized ratio (INR) for evaluating the prognosis of patients at each time point was drawn, and the area under the ROC curve (AUC) was calculated to evaluate the predictive value of relevant indicators at each time point for the prognosis of AFLP patients.@*RESULTS@#A total of 64 AFLP patients were selected. The patients developed the AFLP during pregnancy (34.5±6.8) weeks, with 14 deaths (mortality of 21.9%) and 50 survivors (survival rate of 78.1%). There was no statistically significant difference in general clinical data between the two groups of patients, including age, time from onset to visit, time from visit to cessation of pregnancy, acute physiology and chronic health evaluations II (APACHE II), hospitalization time in ICU, and total hospitalization cost. However, the proportion of male fetuses and stillbirths in the death group was higher than that in the survival group. The laboratory examination indicators including the white blood cell count (WBC), alanine transaminase (ALT), serum creatinine (SCr), PT extension, INR elevation, and hyperammonia in the death group were significantly higher than those in the survival group (all P < 0.05). Through Logistic regression analysis of the above indicators showed that PT > 14 s and INR > 1.5 were risk factors affecting the prognosis of AFLP patients [PT > 14 s: odds ratio (OR) = 1.215, 95% confidence interval (95%CI) was 1.076-1.371, INR > 1.5: OR = 0.719, 95%CI was 0.624-0.829, both P < 0.01]. ROC curve analysis showed that both PT and INR at ICU admission and 24, 48, and 72 hours of treatment can evaluate the prognosis of AFLP patients [AUC and 95%CI of PT were 0.772 (0.599-0.945), 0.763 (0.608-0.918), 0.879 (0.795-0.963), and 0.957 (0.904-1.000), respectively; AUC and 95%CI of INR were 0.808 (0.650-0.966), 0.730 (0.564-0.896), 0.854 (0.761-0.947), and 0.952 (0.896-1.000), respectively; all P < 0.05], the AUC of PT and INR after 72 hours of treatment was the highest, with higher sensitivity (93.5%, 91.8%) and specificity (90.9%, 90.9%).@*CONCLUSIONS@#AFLP often occurs in the middle and late stages of pregnancy, and the initial symptoms are mainly gastrointestinal symptoms. Once discovered, pregnancy should be terminated immediately. PT and INR are good indicators for evaluating AFLP patient efficacy and prognosis, and PT and INR are the best prognostic indicators after 72 hours of treatment.

Correlation between blood pressure indexes and prognosis in sepsis patients: a cohort study based on MIMIC-III database / 中华危重病急救医学

OBJECTIVE@#To investigate the correlation between early-stage blood pressure indexes and prognosis in sepsis patients.@*METHODS@#A retrospective cohort study was conducted on the medical records of patients diagnosed with sepsis from 2001 to 2012 in the Medical Information Mart for Intensive Care-III (MIMIC-III) database. Patients were divided into survival group and death group according to the 28-day prognosis. General data of patients and heart rate (HR) and blood pressure at admission to ICU and within 24 hours after admission were collected. The blood pressure indexes including the maximum, median and mean value of systolic index, diastolic index and mean arterial pressure (MAP) index were calculated. The data were randomly divided into training set and validation set (4 : 1). Univariate Logistic regression analysis was used to screen covariates, and multivariate Logistic stepwise regression models were further developed. Model 1 (including HR, blood pressure, and blood pressure index related variables with P < 0.1 and other variables with P < 0.05) and Model 2 (including HR, blood pressure, and blood pressure index related variables with P < 0.1) were developed respectively. The receiver operator characteristic curve (ROC curve), precision recall curve (PRC) and decision curve analysis (DCA) curve were used to evaluate the quality of the two models, and the influencing factors of the prognosis of sepsis patients were analyzed. Finally, nomogram model was developed according to the better model and effectiveness of it was evaluated.@*RESULTS@#A total of 11 559 sepsis patients were included in the study, with 10 012 patients in the survival group and 1 547 patients in the death group. There were significant differences in age, survival time, Elixhauser comorbidity score and other 46 variables between the two groups (all P < 0.05). Thirty-seven variables were preliminarily screened by univariate Logistic regression analysis. After multivariate Logistic stepwise regression model screening, among the indicators related to HR, blood pressure and blood pressure index, the HR at admission to ICU [odds ratio (OR) = 0.992, 95% confidence interval (95%CI) was 0.988-0.997] and the maximum HR (OR = 1.006, 95%CI was 1.001-1.011), maximum MAP index (OR = 1.620, 95%CI was 1.244-2.126), mean diastolic index (OR = 0.283, 95%CI was 0.091-0.856), median systolic index (OR = 2.149, 95%CI was 0.805-4.461), median diastolic index (OR = 3.986, 95%CI was 1.376-11.758) were selected (all P < 0.1). There were 14 other variables with P < 0.05, including age, Elixhauser comorbidity score, continuous renal replacement therapy (CRRT), use of ventilator, sedation and analgesia, norepinephrine, norepinephrine, highest serum creatinine (SCr), maximum blood urea nitrogen (BUN), highest prothrombin time (PT), highest activated partial thromboplastin time (APTT), lowest platelet count (PLT), highest white blood cell count (WBC), minimum hemoglobin (Hb). The ROC curve showed that the area under the curve (AUC) of Model 1 and Model 2 were 0.769 and 0.637, respectively, indicating that model 1 had higher prediction accuracy. The PRC curve showed that the AUC of Model 1 and Model 2 were 0.381 and 0.240, respectively, indicating that Model 1 had a better effect. The DCA curve showed that when the threshold was 0-0.8 (the probability of death was 0-80%), the net benefit rate of Model 1 was higher than that of Model 2. The calibration curve showed that the prediction effect of the nomogram model developed according to Model 1 was in good agreement with the actual outcome. The Bootstrap verification results showed that the nomogram model was consistent with the above results and had good prediction effects.@*CONCLUSIONS@#The nomogram model constructed has good prediction effects on the 28-day prognosis in sepsis patients, and the blood pressure indexes are important predictors in the model.

A nonlinear relationship between the hemoglobin level and prognosis of elderly patients with sepsis: an analysis based on MIMIC-IV / 中华危重病急救医学

OBJECTIVE@#To investigate the correlation of hemoglobin (Hb) level with prognosis of elderly patients diagnosed as sepsis.@*METHODS@#A retrospective cohort study was conducted. Information on the cases of elderly patients with sepsis in the Medical Information Mart for Intensive Care-IV (MIMIC-IV), including basic information, blood pressure, routine blood test results [the Hb level of a patient was defined as his/her maximum Hb level from 6 hours before admission to intensive care unit (ICU) and 24 hours after admission to ICU], blood biochemical indexes, coagulation function, vital signs, severity score and outcome indicators were extracted. The curves of Hb level vs. 28-day mortality risk were developed by using the restricted cubic spline model based on the Cox regression analysis. The patients were divided into four groups (Hb < 100 g/L, 100 g/L ≤ Hb < 130 g/L, 130 g/L ≤ Hb < 150 g/L, Hb ≥ 150 g/L groups) based on these curves. The outcome indicators of patients in each group were analyzed, and the 28-day Kaplan-Meier survival curve was drawn. Logistic regression model and Cox regression model were used to analyze the relationship between Hb level and 28-day mortality risk in different groups.@*RESULTS@#A total of 7 473 elderly patients with sepsis were included. There was a "U" curve relationship between Hb levels within 24 hours after ICU admission and the risk of 28-day mortality in patients with sepsis. The patients with 100 g/L ≤ Hb < 130 g/L had a lower risk of 28-day mortality. When Hb level was less than 100 g/L, the risk of death decreased gradually with the increase of Hb level. When Hb level was ≥ 130 g/L, the risk of death gradually increased with the increase of Hb level. Multivariate Logistic regression analysis revealed that the mortality risks of patients with Hb < 100 g/L [odds ratio (OR) = 1.44, 95% confidence interval (95%CI) was 1.23-1.70, P < 0.001] and Hb ≥ 150 g/L (OR = 1.77, 95%CI was 1.26-2.49, P = 0.001) increased significantly in the model involving all confounding factors; the mortality risks of patients with 130 g/L ≤ Hb < 150 g/L increased, while the difference was not statistically significant (OR = 1.21, 95%CI was 0.99-1.48, P = 0.057). The multivariate Cox regression analysis suggested that the mortality risks of patients with Hb < 100 g/L [hazard ratio (HR) = 1.27, 95%CI was 1.12-1.44, P < 0.001] and Hb ≥ 150 g/L (HR = 1.49, 95%CI was 1.16-1.93, P = 0.002) increased significantly in the model involving all confounding factors; the mortality risks of patients with 130 g/L ≤ Hb < 150 g/L increased, while the difference was not statistically significant (HR = 1.17, 95%CI was 0.99-1.37, P = 0.053). Kaplan-Meier survival curve showed that the 28-day survival rate of elderly septic patients in 100 g/L ≤ Hb < 130 g/L group was significantly higher than that in Hb < 100 g/L, 130 g/L ≤ Hb < 150 g/L and Hb ≥ 150 g/L groups (85.26% vs. 77.33%, 79.81%, 74.33%; Log-Rank test: χ2 = 71.850, P < 0.001).@*CONCLUSIONS@#Elderly patients with sepsis exhibited low mortality risk if their 100 g/L ≤ Hb < 130 g/L within 24 hours after admission to ICU, and both higher and lower Hb levels led to increased mortality risks.

Perfil de pacientes com sepse e choque séptico em um hospital de trauma: estudo transversal / Profile of patients with sepsis and septic shock in a trauma hospital: cross-sectional study / Perfil de pacientes con sepsis y shock séptico en un hospital de trauma: estudio transversal

Objetivo: Avaliar o perfil e o desfecho clínico de pacientes com sepse e choque séptico em um hospital de trauma de Belo Horizonte. Métodos: Trata-se de estudo transversal, retrospectivo e descritivo dos casos de sepse e choque séptico. Resultados: Constatou-se que 97 (73%) pacientes eram do sexo masculino, com idade entre 19 e 59 anos, 87 (65%) previamente hígidos. Principal motivo de internação foi queda da própria altura com 23 (17%) casos e 37 (28%) diagnósticos de trauma crânio encefálico. Oitenta e seis (65%) pacientes tiveram diagnóstico de sepse e 47 (35%) choque séptico, o principal foco de infecção foi pulmonar 83 (62%). Obtivemos 88 (66%) resultados de hemoculturas negativas e 45 (34%) positivas, 64 (48%) pacientes receberam antibiótico em até 60 minutos após o diagnóstico e o tempo de internação mais prevalente após o evento séptico foi de 7 dias, representado por 31 (46%) pacientes que já estavam internados em uma Unidade de Terapia Intensiva (UTI). Mortalidade de 37 (28%) e 96 (72%) sobreviventes da população estudada. Conclusão: O evento séptico é um problema de saúde pública e tem alta letalidade em pacientes traumatizados. (AU)

Objective: To evaluate the profile and clinical outcome of patients with sepsis and septic shock in a trauma hospital in Belo Horizonte. Methods: This is a cross-sectional, retrospective and descriptive study of cases of sepsis and septic shock. Results: It was found that 97 (73%) patients were male, aged 19 to 59 years, 87 (65%) were previously healthy. Main reason for hospitalization was a fall from one's own height with 23 (17%) cases and 37 (28%) diagnosis of traumatic brain injury. Eighty-six (65%) patients were diagnosed with sepsis and 47 (35%) septic shock, the main focus of infection was pulmonary 83 (62%). We got 88 (66%) negative blood culture results and 45 (34%) positive, 64 (48%) patients received antibiotics within 60 minutes after diagnosis and the most prevalent hospital stay after septic event was 7 days, represented by 31 (46%) patients who were already hospitalized in an Intensive Care Unit (ICU). Mortality of 37 (28%) and 96 (72%) survivors of the population studied. Conclusion: Septic event is a public health problem and has high lethality in traumatized patients. (AU)

Objetivo: Evaluar el perfil y el resultado clínico de los pacientes con sepsis y shock séptico en un hospital de trauma en Belo Horizonte. Métodos: Este es un estudio transversal, retrospectivo y descriptivo de casos de sepsis y shock séptico. Resultados: Se encontró que 97 (73%) pacientes eran hombres, de 19 a 59 años, 87 (65%) antes estaban sanos. La razón principal de la hospitalización fue una caída desde la propia altura con 23 (17%) casos y 37 (28%) diagnóstico de lesión cerebral traumática. Ochenta y seis (65%) pacientes fueron diagnosticados con sepsis y 47 (35%) shock séptico, el foco principal de infección fue pulmonar 83 (62%). Tenemos 88 (66%) resultados negativos del cultivo sanguíneo y 45 (34%) positivo, 64 (48%) los pacientes recibieron antibióticos dentro de los 60 minutos posteriores al diagnóstico y la estancia hospitalaria más frecuente después del evento séptico fue de 7 días, representados por 31 (46%) pacientes que ya estaban hospitalizados en una Unidad de Cuidados Intensivos (UCI). Mortalidad de 37 (28%) y 96 (72%) sobrevivientes de la población estudiada. Conclusión: El evento séptico es un problema de salud pública y tiene alta letalidad en pacientes traumatizados. (AU)

Two cases of Vibrio vulnificus primary sepsis / 中华烧伤杂志

This article analyzed the medical records of two patients with Vibrio vulnificus primary sepsis who were admitted to the First Affiliated Hospital of Naval Medical University and reviewed the latest literature. On November 6, 2019, a 54-year-old male patient was admitted to the hospital. The patient's lower limbs were red, swollen, and painful with ecchymosis and hemorrhagic bullae after he ate freshwater products. The emergency fasciotomy was performed 3 h after admission, and the multiple organ failure occurred after operation. The patient was given up treatment 24 h after admission. On August 12, 2020, a 73-year-old male patient was admitted to the hospital. He was in shock state on admission and had hemorrhagic bullae on his right lower limb after he ate seafood. At 3 h post admission, he underwent emergency surgical exploration and amputation of right thigh. Six days later, he received negative pressure wound treatment on the stump. On the 13th day post admission, his families forgo the active treatment and he died 15 d after admission. The two cases were both failed to be diagnosed at the first time, and the disease progressed rapidly. Necrotizing fasciitis and multiple organ failure occurred. After the diagnosis was confirmed, timely fasciotomy and high amputation were performed respectively. The microbiological examinations both reported Vibrio vulnificus. Although the 2 cases were not cured successfully, the course of disease and some indexes of patient with early amputation were better than those of patients with fasciotomy. Vibrio vulnificus is widely distributed and frequently detected in fresh water products. The pathogenic pathway is fuzzy and complex, and it is easy to be misdiagnosed. It is necessary to establish the treatment process of Vibrio vulnificus sepsis. Early and aggressive surgical intervention should be carried out as soon as possible, fasciotomy and debridement should be thorough, and the patients with hemorrhagic bullae should be amputated early. Postoperative comprehensive measures are also important for improving the survival rate of patients.

Early predictive value of high density lipoprotein cholesterol for secondary acute kidney injury in sepsis patients / 中华烧伤杂志

Objective: To investigate the changes of high density lipoprotein cholesterol (HDL-C) in sepsis patients and its early predictive value for secondary acute kidney injury (AKI) in such patients. Methods: A retrospective case series study was conducted. From June 2019 to June 2021, 232 sepsis patients who met the inclusion criteria were admitted to the Second Hospital of Hebei Medical University, including 126 males and 106 females, aged 24 to 71 years. According to whether complicating secondary AKI, the patients were divided into non-AKI group (n=158) and AKI group (n=74). Data of patients between the two groups were compared and statistically analyzed with independent sample t test or chi-square test, including the sex, age, body mass index (BMI), body temperature, heart rate, primary infection site, combined underlying diseases, acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score and sepsis-related organ failure assessment (SOFA) score at admission, and the serum levels of C-reactive protein (CRP), procalcitonin, creatinine, cystatin C, and HDL-C measured at diagnosis of sepsis. The multivariate logistic regression analysis was performed on the indicators with statistically significant differences between the two groups to screen the independent risk factors for developing secondary AKI in 232 sepsis patients, and the joint prediction model was established based on the independent risk factors. The receiver operating characteristic (ROC) curve of the independent risk factors and the joint prediction model predicting secondary AKI in 232 sepsis patients were drawn, and the area under the curve (AUC), the optimal threshold, and the sensitivity and specificity under the optimal threshold were calculated. The quality of the above-mentioned AUC was compared by Delong test, and the sensitivity and specificity under the optimal threshold were compared using chi-square test. Results: The sex, age, BMI, body temperature, heart rate, primary infection site, combined underlying diseases, and CRP level of patients between the two groups were similar (P>0.05). The procalcitonin, creatinine, cystatin C, and scores of APACHE Ⅱ and SOFA of patients in AKI group were all significantly higher than those in non-AKI group (with t values of -3.21, -16.14, -12.75, -11.13, and -12.88 respectively, P<0.01), while the HDL-C level of patients in AKI group was significantly lower than that in non-AKI group (t=6.33, P<0.01). Multivariate logistic regression analysis showed that creatinine, cystatin C, and HDL-C were the independent risk factors for secondary AKI in 232 sepsis patients (with odds ratios of 2.45, 1.68, and 2.12, respectively, 95% confidence intervals of 1.38-15.35, 1.06-3.86, and 0.86-2.56, respectively, P<0.01). The AUCs of ROC curves of creatinine, cystatin C, HDL-C, and the joint prediction model for predicting secondary AKI in 232 sepsis patients were 0.69, 0.79, 0.89, and 0.93, respectively (with 95% confidence intervals of 0.61-0.76, 0.72-0.85, 0.84-0.92, and 0.89-0.96, respectively, P values all below 0.01); the optimal threshold were 389.53 μmol/L, 1.56 mg/L, 0.63 mmol/L, and 0.48, respectively; the sensitivity under the optimal threshold were 76.6%, 81.4%, 89.7%, and 95.5%, respectively; the specificity under the optimal threshold values were 78.6%, 86.7%, 88.6%, and 96.6%, respectively. The AUC quality of cystatin C was significantly better than that of creatinine (z=2.34, P<0.05), the AUC quality and sensitivity and specificity under the optimal threshold of HDL-C were all significantly better than those of cystatin C (z=3.33, with χ2 values of 6.43 and 7.87, respectively, P<0.01) and creatinine (z=5.34, with χ2 values of 6.32 and 6.41, respectively, P<0.01); the AUC quality and sensitivity and specificity under the optimal threshold of the joint prediction model were all significantly better than those of creatinine, cystatin C, and HDL-C (with z values of 6.18, 4.50, and 2.06, respectively, χ2 values of 5.31, 7.23, 3.99, 6.56, 7.34, and 4.00, respectively, P<0.05 or P<0.01). Conclusions: HDL-C level in sepsis patients with secondary AKI is significantly lower than that in patients without secondary AKI. This is an independent risk factor for secondary AKI in sepsis patients with a diagnostic value being superior to that of creatinine and cystatin C. The combination of the aforementioned three indicators would have higher predicative valuable for secondary AKI in sepsis patients.

Value of cerebral hypoxic-ischemic injury markers in the early diagnosis of sepsis associated encephalopathy in burn patients with sepsis / 中华烧伤杂志

Objective: To explore the value of cerebral hypoxic-ischemic injury markers in the early diagnosis of sepsis associated encephalopathy (SAE) in burn patients with sepsis. Methods: A retrospective case series study was conducted. From October 2018 to May 2021, 41 burn patients with sepsis who were admitted to Zhengzhou First People's Hospital met the inclusion criteria, including 23 males and 18 females, aged 18-65 (35±3) years. According to whether SAE occurred during hospitalization, the patients were divided into SAE group (21 cases) and non-SAE group (20 cases). The gender, age, deep partial-thickness burn area, full-thickness burn area, and acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) scores of patients were compared between the two groups. The serum levels of central nervous system specific protein S100β and neuron specific enolase (NSE) at 12, 24, and 48 h after sepsis diagnosis (hereinafter referred to as after diagnosis), the serum levels of interleukin-6 (IL-6), IL-10, tumor necrosis factor α (TNF-α), Tau protein, adrenocorticotropic hormone (ACTH), and cortisol at 12, 24, 48, 72, 120, and 168 h after diagnosis, and the mean blood flow velocity of middle cerebral artery (VmMCA), pulsatility index, and cerebral blood flow index (CBFi) on 1, 3, and 7 d after diagnosis of patients in the two groups were counted. Data were statistically analyzed with chi-square test, analysis of variance for repeated measurement, independent sample t test, and Bonferroni correction. The independent variables to predict the occurrence of SAE was screened by multi-factor logistic regression analysis. The receiver operating characteristic (ROC) curve was drawn for predicting the occurrence of SAE in burn patients with sepsis, and the area under the curve (AUC), the best threshold, and the sensitivity and specificity under the best threshold were calculated. Results: The gender, age, deep partial-thickness burn area, full-thickness burn area, and APACHE Ⅱ score of patients in the two groups were all similar (χ2=0.02, with t values of 0.71, 1.59, 0.91, and 1.07, respectively, P>0.05). At 12, 24, and 48 h after diagnosis, the serum levels of S100β and NSE of patients in SAE group were all significantly higher than those in non-SAE group (with t values of 37.74, 77.84, 44.16, 22.51, 38.76, and 29.31, respectively, P<0.01). At 12, 24, 48, 72, 120, and 168 h after diagnosis, the serum levels of IL-10, Tau protein, and ACTH of patients in SAE group were all significantly higher than those in non-SAE group (with t values of 10.68, 13.50, 10.59, 8.09, 7.17, 4.71, 5.51, 3.20, 3.61, 3.58, 3.28, 4.21, 5.91, 5.66, 4.98, 4.69, 4.78, and 2.97, respectively, P<0.01). At 12, 24, 48, 72, and 120 h after diagnosis, the serum levels of IL-6 and TNF-α of patients in SAE group were all significantly higher than those in non-SAE group (with t values of 8.56, 7.32, 2.08, 2.53, 3.37, 4.44, 5.36, 5.35, 6.85, and 5.15, respectively, P<0.05 or P<0.01). At 12, 24, and 48 h after diagnosis, the serum level of cortisol of patients in SAE group was significantly higher than that in non-SAE group (with t values of 5.44, 5.46, and 3.55, respectively, P<0.01). On 1 d after diagnosis, the VmMCA and CBFi of patients in SAE group were significantly lower than those in non-SAE group (with t values of 2.94 and 2.67, respectively, P<0.05). On 1, 3, and 7 d after diagnosis, the pulsatile index of patients in SAE group was significantly higher than that in non-SAE group (with t values of 2.56, 3.20, and 3.12, respectively, P<0.05 or P<0.01). Serum IL-6 at 12 h after diagnosis, serum Tau protein at 24 h after diagnosis, serum ACTH at 24 h after diagnosis, and serum cortisol at 24 h after diagnosis were the independent risk factors for SAE complicated in burn patients with sepsis (with odds ratios of 2.42, 1.38, 4.29, and 4.19, 95% confidence interval of 1.76-3.82, 1.06-2.45, 1.37-6.68, and 3.32-8.79, respectively, P<0.01). For 41 burn patients with sepsis, the AUC of ROC of serum IL-6 at 12 h after diagnosis for predicting SAE was 0.92 (95% confidence interval was 0.84-1.00), the best threshold was 157 pg/mL, the sensitivity was 81%, and the specificity was 89%. The AUC of ROC of serum Tau protein at 24 h after diagnosis for predicting SAE was 0.92 (95% confidence interval was 0.82-1.00), the best threshold was 6.4 pg/mL, the sensitivity was 97%, and the specificity was 99%. The AUC of ROC of serum ACTH at 24 h after diagnosis for predicting SAE was 0.96 (95% confidence interval was 0.89-1.00), the best threshold was 14.7 pg/mL, the sensitivity was 90%, and the specificity was 94%. The AUC of ROC of serum cortisol at 24 h after diagnosis for predicting SAE was 0.93 (95% confidence interval was 0.86-1.00), the best threshold was 89 nmol/L, the sensitivity was 94%, and the specificity was 97%. Conclusions: Serum Tau protein, ACTH, and cortisol have high clinical diagnostic value for SAE complicated in burn patients with sepsis.

Value of heparin-binding protein in the diagnosis of severe infection in children: a prospective study / 中国当代儿科杂志

OBJECTIVES@#To study the value of heparin-binding protein (HBP) in the diagnosis of severe infection in children.@*METHODS@#This study was a prospective observational study. The medical data of children who were admitted to the pediatric intensive care unit due to infection from January 2019 to January 2020 were collected. According to the diagnostic criteria for severe sepsis and sepsis, the children were divided into a severe sepsis group with 49 children, a sepsis group with 82 children, and a non-severe infection group with 33 children. The three groups were compared in terms of related biomarkers such as plasma HBP, serum C-reactive protein, serum procalcitonin, and platelet count. The receiver operating characteristic (ROC) curve was plotted to investigate the value of plasma HBP level in the diagnosis of severe infection (including severe sepsis and sepsis).@*RESULTS@#The severe sepsis and sepsis groups had a significantly higher plasma HBP level on admission than the non-severe infection group (P<0.05). Compared with the sepsis and non-severe groups, the severe sepsis group had significantly higher serum levels of C-reactive protein and procalcitonin and a significantly lower platelet count (P<0.05). Plasma HBP level had an area under the ROC curve of 0.590 in determining severe infection, with a sensitivity of 38.0% and a specificity of 82.4% (P<0.05).@*CONCLUSIONS@#There is an increase in plasma HBP level in children with severe infection, and plasma HBP level has a lower sensitivity but a higher specificity in the diagnosis of severe infection and can thus be used as one of the markers for the judgment of severe infection in children.

T lymphocyte subsets combined with inflammatory indicators for auxiliary diagnosis and prognosis evaluation of sepsis / 中华预防医学杂志

Objective: To explore the application value of T lymphocyte subsets combined with procalcitonin (PCT), C-reactive protein (CRP), neutrophil to lymphocyte ratio (NLR) and white blood cell count (WBC) in the auxiliary diagnosis and prognosis evaluation of sepsis. Methods: In a retrospective study, seventy-two patients with sepsis diagnosed and treated in Tianjin First Central Hospital from June 2018 to April 2021 were selected as the research objects, and included in the sepsis group were 46 males and 26 females, aged 68 (57.3, 80.3) years. In addition, 111 patients with local infection admitted to hospital during the same period were included in the local infection group, including 62 males and 49 females, aged 68 (51, 77) years. Sepsis patients were divided into survival group (43 cases) and death group (29 cases) according to the 28-day outcome. CD3+, CD4+, CD8+, CD4+/CD8+ ratio were detected by flow cytometry within 24 h after admission, PCT was detected by ELISA, CRP was detected by immunoturbidimetry, blood routine examination, blood lactic acid (Lac) and oxygen partial pressure (PO2) were detected by instrumental method. Multivariate Logistic regression analysis was used to evaluate the correlation between each indicator and sepsis, and receiver operating characteristic curve (ROC) was drawn to evaluate the diagnostic value of each indicator for sepsis. Multivariate Logistic regression analysis and Kaplan Meier survival analysis were used to evaluate the prognostic value of each index for patients with sepsis. Results: Peripheral blood CD3+, CD4+, CD8+, CD4+/CD8+ ratio and PLT in sepsis group were significantly lower than those in local infection group(Z=-8.184,P<0.001;Z=-7.210,P<0.001;Z=-5.936,P<0.001;Z=-2.700,P=0.007;Z=-6.381,P<0.001); PCT, CRP, NLR and Lac levels were significantly higher than those in local infection group(Z=-8.262,P<0.001;Z=-3.094,P=0.002;Z=-9.004,P<0.001;Z=-4.770,P<0.001). Multivariate Logistic regression model showed that PCT, NLR, CD3+, CD8+, CD4+/CD8+ were independent risk factors for sepsis. According to ROC curve analysis, AUC of sepsis patients diagnosed by each indicator were 0.862, 0.894, 0.858, 0.760 and 0.618, respectively. The cut-off values were 3.075 ng/ml, 10.715, 44.935×109/L, 27.463×109/L and 0.750, respectively. The NLR sensitivity was 80.6%, and the CD3+ specificity was 94.6%. The AUC of combined detection of PCT and NLR was 0.947, sensitivity was 87.5% and specificity was 91.9%. The combined detection AUC of PCT, NLR, CD3+, CD4+/CD8+ was 0.958, the sensitivity and specificity were 90.3% and 91.0% respectively(P<0.001). PCT and Lac in death group were significantly higher than those in survival group(Z=-2.302,P=0.021;Z=-3.095,P=0.002);Peripheral blood CD4+/CD8+ levels were significantly lower than those in survival group(Z=-3.691,P<0.001),Multivariate Logistic regression model showed that CD4+/CD8+ ratio was an independent risk factor for 28 d mortality in patients with sepsis (P<0.001). The ROC curve showed that the AUC was 0.758, and the Youden index reached the maximum when the cut-off value was 1.27, the sensitivity and specificity were 79.3% and 60.5%, respectively. Compared with patients with CD4+/CD8+ ≥1.27, 28-day mortality was significantly increased in patients with CD4+/CD8+<1.27 (P=0.032). Conclusion: The combined detection of PCT, NLR, CD3+ and CD4+/CD8+ can improve the auxiliary diagnostic efficiency of sepsis, and the ratio of CD4+/CD8+ in peripheral blood may have certain predictive value for the prognosis of sepsis.

Epidemiology and treatment of sepsis at a public pediatric emergency department

ABSTRACT Objective To describe the clinical characteristics and treatment of children with sepsis, severe sepsis, and septic shock at a pediatric emergency department of a public hospital. Methods A retrospective, observational study. The medical records of patients included in the hospital Pediatric Sepsis Protocol and patients with discharge ICD-10 A41.9 (sepsis, unspecified), R57 (shock) and A39 (meningococcal meningitis) were evaluated. Results A total of 399 patients were included. The prevalence of sepsis, severe sepsis, and septic shock at the emergency room were 0.41%, 0.14% and 0.014%, respectively. The median age was 21.5 months for sepsis, 12 months for severe sepsis, and 20.5 months for septic shock. Sepsis, severe sepsis, and septic shock were more often associated with respiratory diseases. The Respiratory Syncytial Virus was the most common agent. The median time to antibiotic and fluid administration was 3 hours in patients with sepsis and severe sepsis. In patients with septic shock, the median times to administer antibiotics, fluid and vasoactive drugs were 2 hours, 2.5 hours and 6 hours, respectively. The median length of hospital stay for patients with sepsis, severe sepsis and septic shock were 3 days, 4 days and 1 day, respectively. The overall mortality was 2%. Conclusion Sepsis had a low prevalence. Early diagnosis and recognition are a challenge for the emergency care pediatrician, the first place of admission.

Evaluation of serum and salivary C-reactive protein for diagnosis of late-onset neonatal sepsis: A single center cross-sectional study

Abstract Objective: To evaluate the diagnostic utility of salivary C-reactive protein (CRP) and its potential correlation with serum CRP levels in full-term neonates with late-onset sepsis (LOS). Methods: This cross-sectional study included 90 neonates assigned to three equal groups: culture proven LOS, clinical LOS and a control group. Clinical findings and routine laboratory data including complete blood pictures and blood culture results were documented. Highly sensitive serum CRP was measured according to hospital protocol, while salivary CRP levels were measured using enzyme-linked immunosorbent assay. Results: The median serum CRP was significantly higher in septic neonates compared to controls (p < 0.001). For serum CRP, the optimum cut-off value for LOS diagnosis was found to be 7.2 mg/L with sensitivity, specificity, positive and negative predictive values of 91, 100, 100, and 85.7%, respectively. No significant difference was observed in levels of salivary CRP among the 3 study groups (p = 0.39). No correlation was found between the levels of salivary and serum CRP (r = 0.074, p = 0.49). Conclusion: Serum CRP, at a cut-off value of 7.2 mg/L, exhibited a high specificity and positive predictive value in LOS diagnosis, whereas salivary CRP levels weren't significantly different between the 3 study groups nor did they predict abnormal serum CRP thresholds in newborns with sepsis.

Detecção precoce de sepse nos serviços de urgência e emergência: revisão integrativa / Detección temprana de la sepsis en servicios de urgencia y emergencia: revisión integradora / Early detection of sepsis in urgent and emergency services: integrative review

RESUMO Objetivo identificar elementos que subsidiam a construção de protocolo clínico para detecção precoce de sepse em serviços de urgência e emergência. Método revisão integrativa da literatura, do período de 2017 a junho de 2021, nas bases Medical Literature Analysis and Retrieval System Online, National Library of Medicine, Scientific Eletronic Library Online, Scopus e Web of Science. Resultados foram encontrados 193 artigos e selecionados nove que compuseram a amostra final. Os elementos identificados foram: recomendações da campanha de sobrevivência à sepse; triagem e abertura de protocolo por enfermeiro; treinamentos; sistemas de alerta, uso dos critérios da síndrome da resposta inflamatória sistêmica; times de resposta ou gerente de protocolo; escore de alerta precoce; check-list de verificação; comunicação multiprofissional e lista de antibióticos. Conclusão os resultados contribuem para assistência ao paciente séptico em serviços de urgência e emergência, favorecendo desfechos positivos, a partir do reconhecimento precoce e aplicação oportuna do tratamento inicial.

RESUMEN Objetivo identificar elementos que apoyen la construcción de un protocolo clínico para la detección temprana de sepsis en servicios de urgencia y emergencia. Método revisión integradora de la literatura, de 2017 a junio de 2021, en las bases de datos Medical Literature Analysis and Retrieval System Online, National Library of Medicine, Scientific Electronic Library Online, Scopus y Web of Science. Resultados se encontraron 193 artículos de los cuales nueve compusieron la muestra final. Los elementos identificados fueron: recomendaciones de la campaña supervivencia a la sepsis; cribado y apertura de protocolo por enfermero; capacitaciones; sistemas de alerta, uso de los criterios del síndrome de respuesta inflamatoria sistémica; equipos de respuesta o gerente de protocolo; puntuación de alerta temprana; lista de verificación de verificación; comunicación multiprofesional y listado de antibióticos. Conclusión los resultados contribuyen a la atención de los pacientes sépticos en los servicios de urgencia y emergencia, favoreciendo resultados positivos, basados ​​en el reconocimiento temprano y la aplicación oportuna del tratamiento inicial.

ABSTRACT Objective to identify elements that support the construction of a clinical protocol for early detection of sepsis in urgent and emergency services. Method integrative literature review, from 2017 to June 2021, in the Medical Literature Analysis and Retrieval System Online, National Library of Medicine, Scientific Electronic Library Online, Scopus and Web of Science. Results 193 articles were found and nine composed the final sample. The elements identified were: recommendations from the surviving sepsis campaign; screening and opening of protocol by nurse; trainings; warning systems, use of systemic inflammatory response syndrome criteria; response teams or protocol manager; early warning score; checklist of verification; multiprofessional communication and antibiotic list. Conclusion the results contribute to care for septic patients in urgent and emergency services, favoring positive outcomes, based on early recognition and timely application of the initial treatment.