Independent Risk Factors For Sepsis Research Articles

Malnutrition-Related Liver Steatosis, CONUT Score and Poor Clinical Outcomes in an Internal Medicine Department.

Fatty liver disease has been identified as a marker of malnutrition in different clinical settings. Recently, the COntrolling NUTritional status score (CONUT score) emerged as a promising tool for malnutrition assessment. Our aim was to evaluate short-term outcomes among patients with malnutrition-related liver steatosis in an Internal Medicine department. Furthermore, we evaluated the association of the CONUT score with malnutrition-related liver steatosis. Data from 247 patients hospitalized in an Internal Medicine department were retrospectively collected. The study population was stratified into three groups based on hepatic radiodensity assessed with computed tomography: mild steatosis (≥56.1 HU), moderate steatosis (between 49.7 and 56 HU), and severe steatosis (≤49.6 HU). We then calculated the CONUT score. Severe steatosis patients had higher in-hospital mortality (18.2 vs. 15.5%) and longer in-hospital stays compared with the mild steatosis group (length of in-hospital stay longer than 12 days: 45% vs. 40%). Logistic regression analysis showed that severe steatosis was not significantly associated with in-hospital all-cause death, while a high CONUT score was an independent risk factor for sepsis. We found an independent relationship between malnutrition-associated liver steatosis and the CONUT score. These results identified the CONUT score as a tool for nutritional assessment of hospitalized patients.

Analysis of the diagnostic and prognostic value of serum PAD2 in patients with sepsis in the intensive care unit

BackgroundSepsis is a common disease in the intensive care unit (ICU). In recent years, the incidence rate and mortality rate remain high. Early diagnosis of sepsis is crucial for treatment and can effectively reduce mortality. So far, the ability of serum peptidylarginine deaminase 2 (PAD2) in the diagnosis and prognosis of sepsis patients is still unclear. We conducted this study to reveal the clinical value of PAD2 as a biomarker for sepsis patients. MethodsA prospective study method was used to select 207 patients in the ICU of Renmin Hospital of Wuhan University from May 2022 to May 2023. They were divided into the sepsis group (n = 135) and control group (n = 72), and data were collected within 24 h of hospitalization. Sepsis patients were divided into a survival group (n = 80) and a non-survival group (n = 55) based on their 28-day survival status. Using statistical methods to evaluate the diagnostic and prognostic value of PAD2 in sepsis. ResultsThe serum PAD2 concentrations in the sepsis group were significantly higher than in the control group (median 16.70 vs 35.32 ng/ml, P < 0.001). Multivariate logistic regression analysis showed that the Quick Sequential Organ Failure Assessment (qSOFA), C-reactive protein (CRP), procalcitonin (PCT), and PAD2 were independent risk factors for sepsis. The Receiver operating characteristic (ROC) curve showed that the combined diagnostic value of qSOFA, CRP, PCT, and PAD2 was the highest. The serum PAD2 concentrations in the non-survival group of patients with sepsis were significantly higher than those in the survival group (median 29.26 vs 50.08 ng/ml, P < 0.05). The COX regression analysis showed that PAD2, sequential organ failure score Assessment (SOFA) score, and Acute Physiology and Chronic Health Evaluation (APACHE II) score were independent factors affecting the prognosis of sepsis patients. The ROC analysis showed that the combined prognostic value of PAD2, SOFA, and APACHE II scores was significantly higher than any single indicator. The Kaplan-Meier survival analysis showed that patients with PAD2 ≤ 48.62 ng/ml had a better prognosis. ConclusionThe significant increase in serum PAD2 concentrations in patients is an independent risk factor affecting the occurrence of sepsis and 28-day mortality. The combination of PAD2 and other indicators can further improve the diagnostic and prognostic value for ICU sepsis patients.

The potential role of serum lipoprotein in children with sepsis.

To determine whether serum lipoprotein is correlated with sepsis on the day of admission and help with early warning, identification, and intervention for sepsis. This retrospective study involved all children admitted to our pediatric intensive care unit from January 2021 to June 2023. Clinical data of involved patients were collected via inquiring databases of our hospital. The Pediatric Risk of Mortality and Pediatric Index of Mortality II scores were calculated, multivariate analysis was conducted to evaluate the independence of the association between serum lipoprotein and the risk of sepsis on the day of admission. This study involved 88 children (48 with sepsis, 40 non-sepsis). The sepsis group had a lower level of high-density lipoprotein (HDL), total cholesterol, and low-density lipoprotein (LDL). The CRP, white blood cell, and procalcitonin (PCT) were considerably higher than the non-sepsis group. After adjusting for covariates, logistic regression analysis suggested that the CRP, PCT, HDL, Pediatric Risk of Mortality score, Pediatric Index of Mortality II score and LDL were independent risk factors for sepsis. Moreover, the AUC of CRP, PCT, HDL, and LDL were 0.58, 0.76, 0.82, and 0.86, respectively. Our results may indicate that serum lipoprotein is correlated with sepsis on the day of admission and may help with early warning, identification, and intervention for sepsis.

Changes of Serum Pyruvate Kinase M2 Level in Patients with Sepsis and Its Clinical Value.

The glucose metabolic reprogramming is an important pathological mechanism in sepsis, which involves a series of enzymes including Pyruvate kinase M2 (PKM2). The purpose of this study is to explore the diagnostic and prognostic value of serum PKM2 in sepsis patients. This study recruited 143 sepsis patients, 91 non-sepsis patients, and 65 physical examiners, divided into sepsis group, non-sepsis group, and control group. Measure the serum PKM2 concentration of subjects, collect and analyze clinical and laboratory indicators of all subjects. Independent risk factors were selected by Logistic regression analysis. The area under curve (AUC) was calculated by plotting the receiver operating characteristic (ROC) curve to determine the diagnostic and prognostic value of biomarkers. Compared with non-sepsis and control groups, the serum PKM2 levels in the sepsis group were significantly increased (both P<0.001). PKM2 was an independent risk factor for sepsis and had the best diagnostic efficacy when combined with procalcitonin, with the AUC value of 0.9352. Patients with high levels of PKM2 were more likely to experience organ damage and had a higher incidence of septic shock. On the 1st and 3rd days of admission, the serum PKM2 levels in the septic shock group were higher than those in the sepsis group (both P<0.05), with AUC values of 0.7296 and 0.6247, respectively. On the 3rd and 7th days of admission, the serum PKM2 levels in the non-survival group were significantly higher than those in the survival group (both P<0.001), with AUC values of 0.7033 and 0.8732, respectively. The serum PKM2 levels in sepsis patients are significantly increased and correlated with disease severity and clinical outcomes. PKM2 may be a new diagnostic and prognostic biomarker for sepsis.

Diabetes mellitus as a risk factor for postoperative complications following arthroscopic rotator cuff repair

Patients with diabetes mellitus who undergo arthroscopic rotator cuff repair (aRCR) have an increased risk of postoperative complications when compared to nondiabetics. To further investigate these complications, we used a large national database to determine the 30-day postoperative complications associated with insulin-dependent and non-insulin-dependent diabetics following aRCR. The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was queried for all patients who underwent aRCR between 2015 and 2020. The study population was categorized into cohorts based on diabetes mellitus status: non-insulin-dependent diabetes mellitus (NIDDM), insulin-dependent diabetes mellitus (IDDM), and no diabetes. Multivariate analysis, adjusted for confounding demographics and comorbidities, was used to determine independently associated complications. There were 39,877 cases of aRCR in NQSIP included in this study. Diabetics comprised 6575 (16.7%) of these cases, with 4758 being NIDDM (11.9%) and 1817 being IDDM (4.6%). Bivariate logistic regression found both NIDDM and IDDM cohorts to be significantly associated with higher body mass index, ASA class ≥3, hypertension, chronic obstructive pulmonary disease, bleeding disorders, and preoperative wounds or infection (P<.001). NIDDM was an independently associated risk factor for sepsis (odds ratio [OR], 2.77; 95% confidence interval [CI]: 1.01-7.58; P=.047). IDDM was an independently associated risk factor for pneumonia (OR, 2.49; 95% CI: 1.13-5.48; P=.023), readmission (OR, 1.617; 95% CI: 1.19-2.33; P=.003), myocardial infarction (OR, 0.50; 95% CI: 0.12-1.00; P=.048), and on a ventilator >48 hours (OR, 5.63; 95% CI: 1.40-22.62; P=.015). NIDDM is an independent risk factor for sepsis, while IDDM is an independent risk factor for pneumonia, readmission, myocardial infarction, and remaining on a ventilator for greater than 48 hours following aRCR.

Development and validation of a nomogram for predicting sepsis in patients with pyogenic liver abscess

Pyogenic liver abscess (PLA) is a severe condition that significantly increases the risk of sepsis. However, there is a notable dearth of research regarding the prediction of sepsis in PLA patients. The objective of this study was to develop and validate a prognostic nomogram for predicting sepsis in PLA patients. A total of 206 PLA patients were enrolled in our study, out of which 60 individuals (29.1%) met the Sepsis-3 criteria. Independent risk factors for sepsis were identified through univariate and multivariate logistic regression analyses. Subsequently, a nomogram was developed based on age, positive blood culture, procalcitonin, alanine aminotransferase, blood urea nitrogen, and d-dimer. The nomogram demonstrated excellent calibration and discrimination, as evidenced by the area under the receiver operating characteristic curve (AUC) values of 0.946 (95% confidence interval [CI], 0.912–0.979) and 0.980 (95%CI 0.951–1.000) in the derivation and validation cohorts, respectively. Furthermore, decision-curve analysis confirmed the clinical utility of the nomogram. This study provides valuable insights for the prevention of sepsis in PLA patients and underscores the potential application of the prognostic nomogram in clinical practice.

Indole-3-propionic acid alleviates sepsis-associated acute liver injury by activating pregnane X receptor

BackgroundThe morbidity and mortality of sepsis are extremely high, which is a major problem plaguing human health. However, current drugs and measures for the prevention and treatment of sepsis have little effect. Sepsis-associated acute liver injury (SALI) is an independent risk factor for sepsis, which seriously affects the prognosis of sepsis. Studies have found that gut microbiota is closely related to SALI, and indole-3-propionic Acid (IPA) can activate Pregnane X receptor (PXR). However, the role of IPA and PXR in SALI has not been reported.MethodsThis study aimed to explore the association between IPA and SALI. The clinical data of SALI patients were collected and IPA level in feces was detected. The sepsis model was established in wild-type mice and PXR knockout mice to investigate the role of IPA and PXR signaling in SALI.ResultsWe showed that the level of IPA in patients’ feces is closely related to SALI, and the level of IPA in feces has a good ability to identify and diagnose SALI. IPA pretreatment significantly attenuated septic injury and SALI in wild-type mice, but not found in knockout PXR gene mice.ConclusionsIPA alleviates SALI by activating PXR, which reveals a new mechanism of SALI, and provides potentially effective drugs and targets for the prevention of SALI.

Risk factors for sepsis in patients with colorectal cancer complicated with gastrointestinal perforation and its impact on prognosis.

Colorectal cancer is the most common gastrointestinal tumor. Gastrointestinal perforation is a common complication of colorectal cancer, resulting in peritonitis, abdominal abscess, and sepsis, and can eventually lead to death. The present study aimed to investigate the risk factors for sepsis in patients with colorectal cancer complicated with gastrointestinal perforation and its impact on prognosis. From January 2016 to December 2017, 126 patients with colorectal cancer complicated with gastrointestinal perforation admitted to the Dazu Hospital of Chongqing Medical University were retrospectively and continuously collected. The patients were divided into a sepsis group (n=56) and a control group (n=70) according to whether they developed sepsis or not. The clinical characteristics of the two groups were analyzed, and multivariate logistic regression analysis was performed to explore the risk factors of sepsis in patients with colorectal cancer complicated with gastrointestinal perforation. Finally, the impact of sepsis on the prognosis of patients was analyzed. The multivariate logistic regression analysis showed that anemia, intestinal obstruction, preoperative chemotherapy, acidosis, and albumin <30 g/L were independent risk factors for sepsis in colorectal cancer patients complicated with gastrointestinal perforation (P<0.05). Albumin was valuable in predicting the absence of sepsis in colorectal cancer patients complicated with gastrointestinal perforation, and the area under the curve was 0.751 (95% confidence interval: 0.666-0.835). R4.0.3 statistical software was used to randomly divide the dataset into training and validation sets, with a sample size of 88 in the training set and 38 in the validation set. The areas under the receiver operating characteristic curves of the training and validation sets were 0.857 (95% confidence interval: 0.776-0.938) and 0.735 (95% confidence interval: 0.568-0.902), respectively. The Hosmer-Lemeshow Goodness-of-Fit Test was performed in the validation set; the chi-square value was 10.274 and the P value was 0.246, which indicated that the model had good confidence in predicting sepsis. Patients with colorectal cancer complicated by gastrointestinal perforation have a high incidence of sepsis, which can lead to a poor prognosis. The model presented in this study can effectively identify patients with a high risk of sepsis.

Evaluation of qSOFA combined with inflammatory mediators for diagnosing sepsis and predicting mortality among emergency department

BackgroundThere are no guidelines in China or worldwide that clearly recommend indicators for the early diagnosis of sepsis in the emergency department. Simple and unified joint diagnostic criteria are also scarce. We compare the Quick Sequential Organ Failure Assessment (qSOFA) score and inflammatory mediator concentrations in patients with normal infection, sepsis, and sepsis death. MethodsThis study used a prospective and consecutive manner, including 79 patients with sepsis in the Emergency Department of Shenzhen People’s Hospital from December 2020 to June 2021, and 79 patients with common infections (non-sepsis) matched by age and sex during the same period. The sepsis patients were then divided into a sepsis survival group (n = 67) and a sepsis death group (n = 12) based on whether they survived within 28 days. The baseline characteristics, qSOFA scores, the concentrations of tumor necrosis factor-α(TNF-α), interleukin (IL)-6, IL-1b, IL-8, IL-10, procalcitonin (PCT), high-sensitivity C-reactive protein (HSCRP) and other indicators were collected in all subjects. ResultsPCT and qSOFA were independent risk factors for predicting sepsis in the emergency department. The AUC value of PCT was the largest (0.819) among all diagnostic indicators of sepsis, with a cut-off value of 0.775 ng/ml and sensitivity and specificity of 0.785 and 0.709, respectively. The AUC of qSOFA combined PCT was the largest (0.842) in the combination of the 2 indicators, and the sensitivity and specificity were 0.722 and 0.848, respectively. IL-6 was an independent risk factor for predicting death within 28 days. IL-8 had the largest AUC value (0.826) among all indicators predicting sepsis death, with a cut-off value of 215 pg/ml and sensitivity and specificity of 0.667 and 0.895, respectively. Among the combination of two indicators, qSOFA combined with IL-8 had the largest AUC value (0.782) and sensitivity and specificity of 0.833 and 0.612, respectively. ConclusionsQSOFA and PCT are independent risk factors for sepsis, and qSOFA combined with PCT may be an ideal combination for early diagnosis of sepsis in the emergency department. IL-6 is an independent risk factor for death within 28 days of sepsis, and qSOFA combined with IL-8 may be an ideal combination for early prediction of death within 28 days in sepsis patients in the emergency department.

Development and Validation of the Prediction Model of Sepsis in Patients After Percutaneous Nephrolithotomy and Sepsis Progresses to Septic Shock.

Background: To study the predictors of sepsis and the progression of sepsis to septic shock in patients after percutaneous nephrolithotomy (PCNL) and to establish and validate predictive models. Methods: The patients were assigned to either the development cohort or the validation cohort depending on their hospital. In the development cohort, univariate and multivariate logistic regression analyses were used to screen independent risk factors for sepsis after PCNL and sepsis progression to septic shock. Nomogram prediction models were established according to the related independent risk factors. Areas under the receiver operating characteristic curves, calibration plots, and decision curve analysis (DCA) were used to estimate the discrimination, calibration, and clinical usefulness of the prediction models, respectively. The two sets of models were further validated on the validation cohort. Results: In the development cohort, the risk factors for sepsis after PCNL were diabetes, urine nitrite, staghorn calculi, HU value, albumin-globulin ratio, and high-sensitivity C-reactive protein/albumin ratio. The pre- and postoperative white blood cell counts were risk factors for the progression of sepsis to septic shock. The area under the ROC curve value for predicting sepsis risk was 0.891 and that for predicting septic shock risk was 0.981 in the development cohort; in the validation cohort, these values were 0.893 and 0.996, respectively. In the development cohort, the calibration test p values in the sepsis and septic shock cohorts were 0.946 and 0.634, respectively; in the validation cohort, these values were 0.739 and 0.208, respectively. DCA of the model in the sepsis and septic shock cohorts showed threshold probabilities of 10%-90% in the development cohort; in the validation cohort, these values were 10%-90%. Conclusion: The individualized nomogram prediction models can help improve the early identification of patients who are at higher risk of developing sepsis after PCNL and the progression of sepsis to septic shock to avoid further damage.

A model for sepsis prediction after retrograde intrarenal surgery and the use of the preoperative/postoperative white blood cell ratio to predict progression from sepsis to septic shock.

To study the predictors of sepsis and progression to septic shock after RIRS; to establish and validate predictive models accordingly. In total, 1220 patients were included in the study during. Eight hundred forty-eight patients were assigned to the development cohort and 372 to the validation cohort according to medical record. Univariate and multivariate logistic regression analyses were used to screen independent risk factors for post-RIRS (Retrograde intrarenal surgery) sepsis and progression to septic shock. Nomogram prediction models were established according to the related independent risk factors. Areas under the receiver operating characteristic curves, calibration plots, and DCA (Decision curve analysis) were used to estimate the discrimination, calibration and clinical usefulness of the prediction model, respectively. In the development cohort, sepsis occurred in 59 patients, 16 of whom developed septic shock. Multivariate logistic regression analyses showed that the independent risk factors for sepsis after RIRS were preoperative D-J stent implantation, hydronephrosis > 6.25 HU (Hounsfield units), AGR (Albumin/globulin ratio) < 1.95, hs-CRP/Alb (High-sensitivity C-reactive protein/albumin ratio) > 0.060, operating time > 67.5min, and urinary nitrite positivity. The preoperative/postoperative WBC ratio > 1.5 was an independent risk factor for progression from sepsis to septic shock. In the development cohort, the AUC (Area under curve) for predicting sepsis risk was 0.845, and the AUC for predicting septic shock risk was 0.896; in the validation cohort, the corresponding values were 0.896 and 0.974, respectively. In the development cohort, the calibration test P values in the sepsis and septic shock cohorts, respectively, were 0.921 and 0.817; in the validation cohort, these values were 0.882 and 0.859. DCA of the model in the sepsis and septic shock cohorts showed threshold probabilities of 10-90% in the development cohort and 10-50% and 10-20% in the validation cohort. These individualized nomogram prediction models can improve the early identification of patients at risk for developing sepsis after RIRS or progressing from sepsis to septic shock.

Value of peripheral blood monocyte subsets and CD64 expression in the diagnosis and prognosis of sepsis

To explore the value of monocyte subsets and CD64 expression in the diagnosis and prognosis of sepsis. A prospective case-control study was designed. 30 septic patients and 30 non-septic patients who were admitted to the intensive care unit (ICU) of the PLA Army Characteristic Medical Center from March 2021 to March 2022 were enrolled. After 1, 3, and 5 days of ICU admission, peripheral blood samples were taken from patients. Flow cytometry was used to detect the proportion of monocyte subsets and the expression level of CD64 on the surface, and the difference of expression between patients in two group was analyzed. The risk variables for sepsis were analyzed using single-factor and multi-factor Logistic regression. The diagnostic efficacy of each risk factor for sepsis was determined using the receiver operator characteristic curve (ROC curve). One day after ICU admission, the proportions of monocytes and classic monocytes in white blood cells (WBC) of septic patients were significantly lower than those of non-septic patients [proportion of monocytes to WBC: (4.13±2.03)% vs. (6.53±3.90)%, proportion of classic monocytes to WBC: 1.97 (1.43, 2.83)% vs. 3.37 (1.71, 5.98)%, both P < 0.05]. The proportion of non-classical monocytes in monocytes was significantly higher in septic patients than that in non-septic patients [(11.42±9.19)% vs. (6.57±4.23)%, P < 0.05]. The levels of CD64 expression in monocytes, classic monocytes, intermediate monocytes and non-classic monocytes were significantly higher in sepsis patients than those in non-septic patients [mean fluorescence intensity (MFI): 13.10±6.01 vs. 9.84±2.83 for monocytes, 13.58±5.98 vs. 10.03±2.84 for classic monocytes, 13.48±6.35 vs. 10.22±2.99 for intermediate monocytes, 8.21±5.52 vs. 5.79±2.67 for non-classic monocytes, all P < 0.05]. Multivariate Logistic regression research showed that CD64 in typical monocytes [odds ratio (OR) = 1.299, 95% confidence interval (95%CI) was 1.027-1.471, P = 0.025] and the proportion of non-typical monocytes in monocytes (OR = 1.348, 95%CI was 1.034-1.758, P = 0.027) were the independent risk factors for sepsis. ROC curve showed that the area under the ROC curve (AUC) of CD64 expression of classical monocytes, the fraction of non-classical monocytes in monocytes, and procalcitonin (PCT) in the diagnosis of sepsis was 0.871. A correlation analysis revealed a negative relationship between the acute physiology and chronic health status evaluation II (APACHE II) on the first, third, and fifth days following ICU admission and the expression level of CD64 in patients' classic monocytes (r values were -0.264, -0.428 and -0.368, respectively, all P < 0.05). Combining the proportion of non-classical monocytes in monocytes, the level of plasma PCT, and the CD64 expression of classic monocytes in peripheral blood has good efficacy in identifying sepsis and assessing its severity.

30-day postoperative sepsis risk factors following laminectomy for intradural extramedullary tumors.

Posterior laminectomy (LA) for resection of intradural extramedullary tumors (IDEMTs) is associated with postoperative complications, including sepsis. Sepsis is an uncommon but serious complication that can lead to increased morbidity and mortality, prolonged hospital stays, and greater costs. Given the susceptibility of a solid tumor patients to sepsis-related complications, it is important to recognize IDEMT patients as a unique population when assessing the risk factors for sepsis after laminectomy. The study design was a retrospective cohort study. Adult patients undergoing LA for IDEMTs from 2012 to 2018 were identified in the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) database. Baseline patient characteristics/comorbidities, operative and hospital variables, and 30-day postoperative complications were collected. Of 2,027 total patients undergoing LA for IDEMTs, 38 (2%) had postoperative sepsis. On bivariate analysis sepsis was associated with superficial surgical site infection [odds ratio (OR) 11.62, P<0.001], deep surgical site infection (OR 10.67, P<0.001), deep vein thrombosis (OR 10.75, P<0.001), pulmonary embolism (OR 15.27, P<0.001), transfusion (OR 6.18, P<0.001), length of stay greater than five days (OR 5.41, P<0.001), and return to the operating room within thirty days (OR 8.72, P<0.001). Subsequent multivariate analysis identified the following independent risk factors for sepsis and septic shock: operative time ≥50th percentile (OR 2.11, P=0.032), higher anesthesia class (OR 1.76, P=0.046), dependent functional status (OR 2.23, P=0.001), diabetes (OR 2.31, P=0.037), and chronic obstructive pulmonary disease (OR 3.56, P=0.037). These findings can help spine surgeons identify high-risk patients and proactively deploy measures to avoid this potentially devastating complication in individuals who may be more vulnerable than the general elective spine population.

The role of blood urea nitrogen to serum albumin ratio in the prediction of severity and 30‐day mortality in patients with COVID‐19

BackgroundConsidering the role of higher blood urea nitrogen and lower serum albumin (SA) levels in deceased coronavirus disease 2019 (COVID‐19) patients, an increased blood urea nitrogen to SA (B/A) ratio may help to determine those at higher risk of critical illness. This study aimed to evaluate the correlation of the B/A ratio with severity and 30‐day mortality in COVID‐19 patients.MethodsA total of 433 adult patients with COVID‐19 were enrolled. The laboratory markers were measured on admission. Disease severity was categorized into mild disease, severe pneumonia, acute respiratory distress syndrome (ARDS), sepsis, and septic shock. The mortality was followed for 30 days after admission. χ 2 test, Fisher's exact test, and Mann–Whitney U test were performed, as appropriate. Also, logistic regression and the receiver operating characteristic (ROC) curve for the B/A ratio are included.ResultsThirty‐day mortality rate was 27.25%. The frequency of mild, severe pneumonia, ARDS, sepsis, and septic shock was 30.72%, 36.95%, 24.02%, 6.00%, and 2.31%, respectively. B/A ratio and SA levels were statistically different between alive and deceased patients. The mean B/A ratio was different among classified disease severities, except for mild disease. Logistic regression revealed the B/A ratio as an independent risk factor for sepsis after adjusting for age and sex. ROC analysis showed B/A ratio had an area under the curve (AUC) of 0.733 for mortality at the cutpoint of 4.944. AUC for sepsis was 0.617 which was greater than other disease severities.ConclusionThe results showed that B/A ratio and SA levels are associated with mortality of COVID‐19 patients. A higher B/A ratio is, additionally, associated with COVID‐19 severity, except in mild cases and it can act as an independent risk factor in sepsis. However, a greater B/A ratio is not a significant predictor of COVID‐19 severity, but it can predict mortality. Therefore, we suggest this marker for clinical assessment of patients with severe COVID‐19.

T lymphocyte subsets combined with inflammatory indicators for auxiliary diagnosis and prognosis evaluation of sepsis

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.

Glycosylated Hemoglobin as a Predictor of Sepsis and All-Cause Mortality in Trauma Patients.

Background and PurposeInfection is a common comorbidity and cause of death in emergency trauma patients, especially in diabetic patients. Once the patients are admitted, they are more susceptible to further complications like sepsis and resultant increase in in-hospital mortality. Therefore, it is necessary to evaluate risk factors associated with sepsis after trauma and death in trauma patients.MethodsA total of 397 trauma patients were divided into 2 groups according to HbA1c level, HbA1c: <6.5% (n = 259), HbA1c: >6.5% (n = 138), and baseline clinical characteristics were collected. The independent risk factors of sepsis associated with trauma were screened using univariate and multivariate logistic regression analysis. Cox proportional hazards regression analysis was used to investigate risk factors for 30-day all-cause mortality.ResultsThe sepsis incidence (76.1% vs 35.9%, P<0.001) and mortality rate (29.7% vs 7.3%, P<0.001) were significantly higher in HbA1c>6.5% group. Multivariate logistic regression analysis revealed that the independent risk factors of sepsis after trauma were diabetes (OR: 3.1, 95% CI: 1.41–6.79), hypertension (OR: 2.55, 95% CI: 1.35–4.82), coagulation disorder (OR: 3.45, 95% CI: 1.23–9.67), creatinine (OR: 3.71, 95% CI: 1.66–8.31), urea nitrogen (OR: 0.96, 95% CI: 0.92–0.99), HbA1c%>6.5 (OR: 2.05, 95% CI: 1.65–2.54), increase in body mass index (OR: 1.08, 95% CI: 1.03–1.13) and lower initial GCS score (OR: 0.93, 95% CI: 0.88–0.99). Multivariable Cox proportional hazard analysis revealed that male (HR: 1.94, 95% CI: 1.21–3.12), HbA1c >6.5% (HR: 1.45, 95% CI: 1.32–1.6), albumin (HR: 0.54, 95% CI: 0.34–0.86), creatinine (HR: 1.02, 95% CI: 1.01–1.03), APTT (HR: 1.02, 95% CI: 1.01–1.03), SOFA score (HR: 1.2, 95% CI: 1.1–1.31), age >65 years (HR: 3.21, 95% CI: 1.95–5.3) were independent risk factor for trauma patients’ mortality.ConclusionThe prevalence of sepsis and mortality was higher in trauma patients with HbA1c >6.5%. HbA1c was independent risk factor for sepsis and all cases of mortality in trauma patients.

Predictive value of heparin binding protein for sepsis

To investigate the predictive value of heparin binding protein (HBP) for sepsis. From June 2019 to December 2020, 188 patients admitted to the department of emergency of Hunan Provincial People's Hospital were enrolled. The patients were divided into non-sepsis group (87 patients) and sepsis group (101 patients) according to Sepsis-3 criteria. Gender, age, white blood cell count (WBC), C-reactive protein (CRP), procalcitonin (PCT), HBP, sequential organ failure assessment (SOFA) score, quick SOFA (qSOFA) score, modified early warning score (MEWS) and patients' recent medication history were recorded, the differences in the above indicators between the two groups were compared. The risk factors of sepsis were analyzed by Logistic regression. Spearman correlation analysis was used to analyze the correlation between HBP, PCT, CRP and SOFA score to evaluate the predictive value of HBP, PCT and CRP for the severity of septic organ failure. Receiver operating characteristic curve (ROC curve) were drawn to evaluate the diagnostic value of HBP, PCT and CRP for sepsis. Compared with the non-sepsis group, the sepsis group had significantly higher levels of HBP, PCT, CRP, WBC, SOFA score, qSOFA score, and MEWS [HBP (μg/L): 55.46 (24.57, 78.49) vs. 5.90 (5.90, 9.01), PCT (μg/L): 6.83 (1.75, 30.64) vs. 0.23 (0.12, 0.75), CRP (mg/L): 67.35 (26.23, 123.23) vs. 4.45 (2.62, 47.22), WBC (×109/L): 11.84 (7.18, 16.06) vs. 6.58 (5.47, 8.99), SOFA score: 6 (4, 8) vs. 0 (0, 0), qSOFA score: 2 (1, 3) vs. 0 (0, 1), MEWS: 4 (3, 6) vs. 1 (0, 2)], the length of hospital stay was significantly prolonged [days: 10 (4, 17) vs. 0 (0, 7)], and the mortality was significantly increased [29.7% (30/101) vs. 4.6% (4/87)], with statistical significance (all P < 0.05). Correlation analysis showed that HBP, PCT and CRP were significantly positively correlated with SOFA score (r values were 0.60, 0.33, and 0.38, respectively, all P < 0.01), among which HBP had the strongest correlation, CRP was the second, and PCT was the weakest. Logistic regression analysis showed that HBP, PCT and CRP levels were independent risk factors for sepsis [odds ratio (OR) were 1.015, 1.094, 1.067, 95% confidence intervals (95%CI) were 1.007-1.022, 1.041-1.150, 1.043-1.093, all P < 0.01]. ROC curve analysis showed that HBP, PCT and CRP all had some diagnostic value for sepsis [the area under ROC curve (AUC) were 0.92, 0.87, 0.80, 95%CI were 0.88-0.97, 0.82-0.92, 0.74-0.87, respectively, all P < 0.01]. Among them, the diagnostic efficacy of HBP was higher when the cut-off value was ≥ 15.11 μg/L, its sensitivity and specificity were 86.14% and 89.66%, respectively, which were higher than the sensitivity (81.19%) and specificity (80.46%) when the PCT cut-off value was ≥ 1.17 μg/L. However, CRP had the best sensitivity of 94.06% for the diagnosis of sepsis but lacked of specificity (63.22%). HBP can be used as a biological indicator for predicting sepsis and can assess the severity of organ failure in septic patients.

Construction and Evaluation of a Sepsis Risk Prediction Model for Urinary Tract Infection.

Background: Urinary tract infection (UTI) is one of the common causes of sepsis. However, nomograms predicting the sepsis risk in UTI patients have not been comprehensively researched. The goal of this study was to establish and validate a nomogram to predict the probability of sepsis in UTI patients.Methods: Patients diagnosed with UTI were extracted from the Medical Information Mart for Intensive Care III database. These patients were randomly divided into training and validation cohorts. Independent prognostic factors for UTI patients were determined using forward stepwise logistic regression. A nomogram containing these factors was established to predict the sepsis incidence in UTI patients. The validity of our nomogram model was determined using multiple indicators, including the area under the receiver operating characteristic curve (AUC), correction curve, Hosmer-Lemeshow test, integrated discrimination improvement (IDI), net reclassification improvement (NRI), and decision-curve analysis (DCA).Results: This study included 6,551 UTI patients. Stepwise regression analysis revealed that the independent risk factors for sepsis in UTI patients were congestive heart failure, diabetes, liver disease, fluid electrolyte disorders, APSIII, neutrophils, lymphocytes, red blood cell distribution width, urinary protein, urinary blood, and microorganisms. The nomogram was then constructed and validated. The AUC, NRI, IDI and DCA of the nomogram all showed better performance than traditional APSIII score. The calibration curve and Hosmer-Lemeshow test results indicate that the nomogram was well-calibrated. Improved NRI and IDI values indicate that our nomogram scoring system is superior to other commonly used ICU scoring systems. The DCA curve indicates that the DCA map of the nomogram has good clinical application ability.Conclusion: This study identified the independent risk factors of sepsis in UTI patients and used them to construct a prediction model. The present findings may provide clinical reference information for preventing sepsis in UTI patients.

Postoperative Infection of Male Posterior Urethral Stenosis with Pelvic Fracture: A Retrospective Study from a Chinese Tertiary Teferral Center

ObjectivesTo investigate the risk factors for postoperative infection, including systemic inflammatory response syndrome, sepsis and surgical site infection, after posterior urethral anastomosis for the treatment of male posterior urethral stenosis with pelvic fractures. MethodsWe retrospectively analyzed data from patients who underwent transperineal end-to-end anastomotic urethroplasty between January 2016 and December 2018. Descriptive statistics were used to analyze patient characteristics and perioperative features. Univariate analysis was performed to identify prognostic factors associated with postoperative infection. Multivariate analysis was used to identify independent risk factors for postoperative infection. ResultsAmong 261 patients included in the analysis, 16.48% had SIRS, 3.83% had sepsis, and 8.05% had SSI. The primary results suggested that penile septum separation, inferior pubic resection, operating duration, preoperative urine culture result, preoperative waiting time, urethral stenosis length, and draining method were significant predictors of postoperative infections. Multivariate analysis revealed that more complex surgical procedures, operating duration and positive urine culture results were independent risk factors for SIRS and preoperative positive urine culture result was an independent risk factor for sepsis and SSI. ConclusionsPositive preoperative urine culture was the main risk factor for postoperative infections. More complex surgical procedures, such as penile septum separation and inferior pubic resection, and longer operating duration were more likely to be associated with postoperative SIRS.

C-Reactive Protein-to-Albumin Ratio Predicts Sepsis and Prognosis in Patients with Severe Burn Injury.

Background Sepsis is a leading cause of mortality among severe burns. This study was conducted to investigate the predictive role of C-reactive protein-to-albumin ratio (CAR) for sepsis and prognosis in severe burns. Methods Patients with severe burn injuries from 2013 to 2017 were enrolled and divided into septic and nonseptic groups based on the presence of sepsis within 30 days postburn. Independent risk factors for sepsis were performed by the univariate and multivariate logistic regression analyses. The association between CAR level at admission and postburn 30-day mortality was designed via the Kaplan–Meier method. Results Of all the 196 enrolled patients, 83 patients developed sepsis within 30 days postburn injury, with an incidence of 42.3%. TBSA percentage (OR: 1.65, 95% CI: 1.17-2.32, P = 0.014) and CAR at admission (OR: 2.25, 95% CI: 1.33-3.56, P = 0.009) were the two independent risk factors for sepsis in severe burns by the multivariate logistic regression analysis. A higher CAR level (≥1.66) at admission was associated with a lower postburn 30-day survival rate (P = 0.005). Conclusions The CAR level at admission was an independent risk factor for sepsis and prognosis in severe burns.