Independent Risk Factor For Death Research Articles

A novel scoring system to predict short-term mortality after living donor liver transplantation for acute liver failure

Liver transplantation is often the only lifesaving option for acute liver failure (ALF); however, the predictors of short-term mortality (death within one year) after living donor liver transplantation (LDLT) for ALF have yet to be defined. We retrospectively collected patients ≥18 years old who underwent LDLT for ALF between 2010 and 2020 at 35 centers in Asia. Univariate and multivariate logistic regression analyses were conducted to identify the clinical variables related to short-term mortality and establish a novel scoring system. The Kaplan-Meier method was performed to explore the association between the score and overall survival. Of the 339 recipients, 46 (13.6%) died within 1 year after LDLT. Multivariate analyses revealed 4 independent risk factors for death: use of vasopressors or mechanical ventilation, the higher model for end-stage liver disease score, and a lower graft-to-recipient weight ratio. The internally validated c-statistic of the short-term mortality after transplant (SMT) score derived from these 4 variables was 0.80 (95% confidence interval: 0.74-0.87). The SMT score successfully stratified recipients into low-, intermediate-, and high-risk groups with 1-year overall survival rates of 96%, 80%, and 50%, respectively. In conclusion, our novel SMT score based on 4 predictors will guide ALF recipient and living donor selection.

Correlation Between Anesthesia Methods and Adverse Short-Term Postoperative Outcomes Depending on Frailty: A Prospective Cohort Study.

This study aims to investigate how the type of anesthesia used during major orthopedic surgery may impact adverse short-term postoperative outcomes depending on frailty. To conduct this investigation, we recruited individuals aged 65 years and older who underwent major orthopedic surgery between March 2022 and April 2023 at a single institution. We utilized the FRAIL scale to evaluate frailty. The primary focus was on occurrences of death or the inability to walk 60 days after the surgery. Secondary measures included death within 60 days; inability to walk without human assistance at 60 days; death or the inability to walk without human assistance at 30 days after surgery, the first time out of bed after surgery, postoperative blood transfusion, length of hospital stay, hospital costs, and the occurrence of surgical complications such as dislocation, periprosthetic fracture, infection, reoperation, wound complications/hematoma. In a study of 387 old adult patients who had undergone major orthopedic surgery, 41.3% were found to be in a frail state. Among these patients, 262 had general anesthesia and 125 had neuraxial anesthesia. Multifactorial logistic regression analyses showed that anesthesia type was not linked to complications. Instead, frailty (OR 4.04, 95% CI 1.04 to 8.57, P< 0.001), age (OR 1.05, 95% CI 1.00-1.10, P= 0.017), and aCCI scores, age-adjusted Charlson Comorbidity Index, (OR 1.36, 95% CI 1.12 to 1.66, P= 0.002) were identified as independent risk factors for death or new walking disorders in these patients 60 days after surgery. After adjusting for frailty, anesthesia methods was not associated with the development of death or new walking disorders in these patients (P > 0.05). In different frail populations, neuraxial anesthesia is likely to be comparable to general anesthesia in terms of the incidence of short-term postoperative adverse outcomes.

Carbapenem-Resistant Pseudomonas aeruginosa Infection and Mixed Infections Are Risk Factors for Poor Outcome After Lung Transplant.

In this study, we analyzed the effects of carbapenem-resistant Pseudomonas aeruginosa infection and mixed infection on the perioperative prognosis of lung transplant recipients and studied statistics on antibiotic resistance in P aeruginosa. This was a retrospective casecontrol study. We collected data on lung transplant recipients with combined lower respiratory tract P aeruginosa infection within 48 hours after lung transplant at the China-Japan Friendship Hospital from August 2018 to April 2022. We grouped recipients according to P aeruginosa resistance to carbapenem antibiotics and summarized the clinical characteristics of carbapenem-resistant P aeruginosa infection. We analyzed the effects of carbapenemresistant P aeruginosa infection and mixed infections on all-cause mortality 30 days after lung transplant by Cox regression. We used the Kaplan-Meier method to plot survival curves. Patients in the carbapenem-resistant P aeruginosa group had a higher all-cause mortality rate than those in the carbapenem-sensitive P aeruginosa group at both 7 days (6 patients [22.3%] vs 2 patients [4.5%]; P = .022) and 30 days (12 patients [44.4%] vs 7 patients [15.9%]; P = .003) after lung transplant. In multivariate analysis, both carbapenemresistant P aeruginosa infection and P aeruginosa combined with bacterial infection were independent risk factors for death 30 days after transplant in lung transplant recipients (P < .05). In subgroup analysis, carbapenem-resistant P aeruginosa combined with bacterial infection increased the risk of death 30 days after transplant in lung transplant recipients compared with carbapenem-sensitive P aeruginosa combined with bacterial infection (12 patients [60%] vs 6 patients [19.4%]; P < .001). Combined lower respiratory tract carbapenem-resistant P aeruginosa infection and P aeruginosa combined with bacterial infection early after lung transplant increased the risk of 30-day mortality after lung transplant.

Association of body mass index with long-term outcomes in older adults hospitalized for COVID-19: an observational study

Both underweight and obesity have been associated with poor prognosis in COVID-19. In an older populations of patients hospitalized for SARS-CoV-2 infection, we aimed to evaluate the association between body mass index (BMI) and short and long-term prognosis. Among 434 consecutive patients aged ≥ 70 years and hospitalized for suspected COVID-19 at a university hospital, 219 patients (median age of 83 years, 53% male) testing positive for COVID-19 and for whom BMI was recorded at admission, agreed to participate. Among them, 39 had a BMI < 20 kg/m2, 73 had a BMI between 20 and 24.9 kg/m2 and 107 had a BMI ≥ 25 kg/m2. After adjustment for confounders, BMI < 20 kg/m2 was associated with a higher risk of one-year mortality (hazard ratio (HR) [95% confidence interval]: 1.75 [1.00–3.05], p = 0.048), while BMI ≥ 25 kg/m2 was not (HR: 1.04 [0.64–1.69], p = 0.9). However, BMI was linearly correlated with both in-hospital acute respiratory failure (p = 0.02) and cardiovascular events (p = 0.07). In this cohort of older patients hospitalized for COVID-19, low BMI, rather than high BMI, appears as an independent risk factor for death after COVID-19. The pathophysiological patterns underlying this excess mortality remain to be elucidated.

Clinical significance of postoperative folate receptor-positive circulating tumor cells (FR + CTCs) for long-term prognosis in patients with invasive adenocarcinoma (IAC) of the lung.

The aim of the study was to evaluate the prognostic value of postoperative folate receptor-positive circulating tumor cell (FR + CTC) detection in patients with stage I-III invasive adenocarcinoma (IAC) treated with surgery. Patients with lung adenocarcinoma (LUAD) who underwent surgical resection in Peking University Cancer Hospital and received postoperative FR + CTC analysis from July 2016 to January 2021 were retrospectively collected. Comparisons between or among groups were made using the Kruskal-Wallis or Mann-Whitney U tests. Survival curves were estimated using the Kaplan-Meier method and compared using the log-rank test. Cox proportional hazard regression analyses were performed to explore the factors predicting recurrence and survival. There were significant differences between the high and low groups in terms of age (p = 0.002), postoperative CA199 (p = 0.038), and postoperative SCC (p = 0.024). There were no significant differences in the other indicators (all p>0.05). N stage 1, N stage 2, and neoadjuvant therapy (NAT) were independent risk factors for disease recurrence and death; pleural invasion (PI), and nerve invasion were independent risk factors for death. The Kaplan-Meier curve showed a notable trend for a worse disease-free survival (DFS) or overall survival (OS) for patients with high levels of FR + CTCs in our study, but none of these were statistically significant. The detection of FR + CTCs postoperatively was an independent predictor of recurrence in patients treated for stage I-III IAC. Standardized detection methods and optimal time points for assessment should be established in future studies.

Evaluation of safety of early enteral nutrition in patients with severe intra-abdominal infection and intestinal fistulas

Objective: To evaluate the safety of early enteral nutrition (EEN) support in patients with severe intra-abdominal infection and intestinal fistulas. Methods: This was a retrospective cohort study. We collected relevant clinical data of 204 patients with severe intra-abdominal infection and intestinal fistulas who had been managed in the No. 1 Department of General Surgery, Shanghai Ninth People's Hospital, Shanghai Jiaotong University between 1 January 2017 and 1 January 2020. The patients were allocated to EEN or delayed enteral nutrition (DEN) groups depending on whether enteral nutrition had been instituted within 48 hours of admission to the intensive care unit. The primary outcome was 180-day mortality. Other outcomes included rates of intraperitoneal hemorrhage, septic shock, open abdominal cavity, bloodstream infection, mechanical ventilation, and continuous renal replacement therapy. Risk factors for mortality were analyzed by logistic regression. Results: There were no significant differences in hematological data or other baseline characteristics between the two groups at the time of admission to the intensive care unit (all P>0.05). However, septic shock (31.2% [15/48] vs. 15.4% [24/156], χ2=4.99, P=0.025), continuous renal replacement therapy (27.1% [13/48] versus 9.0% [14/156], χ2=8.96, P=0.003), and 180-day mortality (31.2% [15/48] vs. 7.7% [12/156], χ2=15.75, P<0.001) were significantly more frequent in the EEN than the DEN group (all P<0.05). Multivariate regression analysis showed that older age (OR=1.082, 95%CI:1.027-1.139,P=0.003), worse Acute Physiology and Chronic Health Evaluation (APACHE) II scores (OR=1.189, 95%CI: 1.037-1.363, P=0.013), higher C-reactive protein (OR=1.013, 95%CI:1.004-1.023, P=0.007) and EEN (OR=8.844, 95%CI:1.809- 43.240, P=0.007) were independent risk factors for death in patients with severe intra-abdominal infection and intestinal fistulas. Conclusion: EEN may lead to adverse events and increase mortality in patients with both enterocutaneous fistulas and severe abdominal infection. EEN should be implemented with caution in such patients.

Multicenter retrospect analysis of early clinical features and analysis of risk factors on prognosis of elderly patients with severe burns

Objective: To investigate the early clinical characteristics of elderly patients with severe burns and the risk factors on prognosis. Methods: This study was a retrospective case series study. Clinical data of 124 elderly patients with severe burns who met the inclusion criteria and were admitted to the 12 hospitals from January 2015 to December 2020 were collected, including 4 patients from the Fourth People's Hospital of Dalian, 5 patients from Fujian Medical University Union Hospital, 22 patients from Guangzhou Red Cross Hospital of Jinan University, 5 patients from Heilongjiang Provincial Hospital, 27 patients from the First Affiliated Hospital of Naval Medical University, 9 patients from the First Affiliated Hospital of Nanchang University, 10 patients from Affiliated Hospital of Nantong University, 9 patients from Tongren Hospital of Wuhan University & Wuhan Third Hospital, 12 patients from the 924th Hospital of PLA, 6 patients from Zhangjiagang First People's Hospital, 4 patients from Taizhou Hospital of Zhejiang Province, and 11 patients from Zhengzhou First People's Hospital. The patients' overall clinical characteristics, such as gender, age, body mass index, total burn area, full-thickness burn area, inhalation injury, causative factors, whether combined with underlying medical diseases, and admission time after injury were recorded. According to the survival outcome within 28 days after injury, the patients were divided into survival group (89 cases) and death group (35 cases). The following data of patients were compared between the two groups, including the basic data and injuries (the same as the overall clinical characteristics ahead); the coagulation indexes within the first 24 hours of injury such as prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time, D-dimer, fibrinogen degradation product (FDP), international normalized ratio (INR), and fibrinogen; the blood routine indexes within the first 24 hours of injury such as white blood cell count, platelet count, neutrophil-to-lymphocyte ratio, monocyte count, red blood cell count, hemoglobin, and hematocrit; the organ function indexes within the first 24 hours of injury such as direct bilirubin, total bilirubin, urea, serum creatinine, aspartate aminotransferase, alanine aminotransferase, total protein, albumin, globulin, blood glucose, triglyceride, total cholesterol, alkaline phosphatase, creatine kinase, electrolyte indexes (potassium, sodium, chlorine, calcium, magnesium, and phosphorus in blood), uric acid, myoglobin, and brain natriuretic peptide; the infection and blood gas indexes within the first 24 hours of injury such as procalcitonin, C-reactive protein, pH value, oxygenation index, base excess, and lactate; treatment such as whether conducted with mechanical ventilation, whether conducted with continuous renal replacement therapy, whether conducted with anticoagulation therapy, whether applied with vasoactive drugs, and fluid resuscitation. The analysis was conducted to screen the independent risk factors for the mortality within 28 days after injury in elderly patients with severe burns. Results: Among 124 patients, there were 82 males and 42 females, aged 60-97 years, with body mass index of 23.44 (21.09, 25.95) kg/m2, total burn area of 54.00% (42.00%, 75.00%) total body surface area (TBSA), and full-thickness burn area of 25.00% (10.00%, 40.00%) TBSA. The patients were mainly combined with moderate to severe inhalation injury and caused by flame burns. There were 43 cases with underlying medical diseases. The majority of patients were admitted to the hospital within 8 hours after injury. There were statistically significant differences between patients in the 2 groups in terms of age, total burn area, full-thickness burn area, and inhalation injury, and PT, APTT, D-dimer, FDP, INR, white blood cell count, platelet count, urea, serum creatinine, blood glucose, blood sodium, uric acid, myoglobin, and urine volume within the first 24 hours of injury (with Z values of 2.37, 5.49, 5.26, 5.97, 2.18, 1.95, 2.68, 2.68, 2.51, 2.82, 2.14, 3.40, 5.31, 3.41, 2.35, 3.81, 2.16, and -3.82, respectively, P<0.05); there were statistically significant differences between two groups of patients in whether conducted with mechanical ventilation and whether applied with vasoactive drugs (with χ2 values of 9.44 and 28.50, respectively, P<0.05). Age, total burn area, full-thickness burn area, serum creatinine within the first 24 hours of injury, and APTT within the first 24 hours of injury were the independent risk factors for the mortality within 28 days after injury in elderly patients with severe burns (with odds ratios of 1.17, 1.10, 1.10, 1.09, and 1.27, 95% confidence intervals of 1.03-1.40, 1.04-1.21, 1.05-1.19, 1.05-1.17, and 1.07-1.69, respectively, P<0.05). Conclusions: The elderly patients with severe burns had the injuries mainly from flame burns, often accompanied by moderate to severe inhalation injury and enhanced inflammatory response, elevated blood glucose levels, activated fibrinolysis, and impaired organ function in the early stage, which are associated with their prognosis. Age, total burn area, full-thickness burn area, and serum creatinine and APTT within the first 24 hours of injury are the independent risk factors for death within 28 days after injury in this population.

Correlation Between miR-497-5p Expression With Clinicopathological Characteristics and Prognosis in Patients With Breast Cancer.

Breast cancer (BC) comprises multiple biological and histologic properties. MicroRNAs show key functions in cancer prognosis. This paper explored the relationship between miR-497-5p with clinicopathological characteristics and prognosis in BC. Cancer tissues and normal adjacent tissues (NATs) were collected from 140 included patients with BC. The clinical baseline data, including age, tumor size, pathologic grade, clinical stage, modified Scraff-Bloom-Richardson grade, and lymph node metastasis, were recorded. miR-497-5p expression in cancer tissues and NAT was determined by reverse transcription-quantitative polymerase chain reaction. Patients with BC were followed up for 5 years to record their survival. Patients were divided into the miR-497-5p low expression and high expression groups to assess the correlation between miR-497-5p expression with clinicopathological characteristics and overall survival of patients. The role of miR-497-5p as an independent risk factor for death was further analyzed by a multivariate Cox regression model. miR-497-5p was downregulated in BC tissues than NAT. Tumor size, clinical stage, and lymph node metastasis showed significant differences among patients with high and low miR-497-5p expression levels. Patients with BC with low miR-497-5p expression presented decreased survival. Lowly-expressed miR-497-5p was an independent risk factor for death in patients. Collectively, cancer tissue miR-497-5p low expression increases the risk of death and serves as an independent risk factor for death in patients with BC.

Study of the association between anemia and prognosis of moderate-to-severe traumatic brain injury

Objective: To investigate the impact of admission anemia on the prognosis of patients with moderate- to-severe traumatic brain injury (TBI). Methods: The clinical data of patients with moderate-to-severe TBI treated in the Department of Intensive Care Unit in our hospital from January 2020 to September 2022 were retrospectively analyzed. The patients were divided into admission non-anemia group (Hb ≥ 100 g/L) and admission anemia group (Hb&lt;100 g/L) based on hemoglobin (Hb) levels. The Glasgow Coma Scale (GCS) score, first blood analysis, arterial blood gas, blood pressure, injury mechanism, pupillary reflex at admission and others were compared, multivariate logistic was used to analyse independent risk factors for patient death. Results: One hundred and nine patients were included in the study, of which 17 died in the hospital and 52 had anemia at admission. Compared with patients in the admission non-anemia group, patients in the admission anemia group were younger, had lower admission GCS and trauma score (PTS) scores, higher mortality rates, and longer hospital stay (all P&lt;0.05).Univariate analysis showed that moderate-to-severe TBI patients with admission anemia, admission hyperglycemia, GCS&lt;8, PTS&lt;8, abnormal pupillary reflex, and other organ injuries had higher mortality rates (all P&lt;0.05) .Multivariate logistic regression analysis showed that admission anemia (OR=9.383, 95% CI=1.086~81.094, P=0.042), admission pupillary reflex abnormalities (OR=23.121,95% CI=3.680~145.270,P=0.001), and admission hyperglycemia (OR=15.181, 95% CI=2.019~114.160, P=0.008) are independent risk factors for death of Moderate-to-severe TBI patients. Conclusions: Admission anemia is an independent risk factor for death of moderate-to-severe TBI patients, and it can prolong the length of hospital stay for such patients.

Analysis of risk factors affecting the prognosis of patients with sepsis and construction of nomogram prediction model.

This study analyzed the clinical data of 200 sepsis patients, exploring the risk factors that affect patient prognosis and providing the basis for clinically targeted intervention to improve patient prognosis. 200 septic patients were admitted to Yulin Second Hospital, and they were divided into a survival group of 151 patients and a death group of 49 patients, according to their clinical outcomes on admission. The relevant clinical parameters within 24 h of admission were collected, and the independent risk factors affecting the prognosis of septic patients were analyzed by multivariate Logistic regression. R language 4.21 software was used to construct a nomogram prediction model. The receiver operating characteristic curve was used to evaluate the discrimination of the nomogram model, and decline curve analysis was drawn to evaluate the effectiveness of the model. In the nomogram prediction model, age, the Acute Physiology and Chronic Health Scoring System Domain (APACHE II) score, the Sequential Organ Failure Assessment (SOFA) score, C-reactive protein (CRP), total bilirubin, albumin (Alb), urea nitrogen, creatinine, and lactate (Lac) were independent risk factors for death in septic patients. The area under the receiver operating characteristic (ROC) curve for predicting the prognosis of septic patients was 0.597-1.000, and the calibration curve tends to be the ideal curve. The model had good discrimination and calibration and had high accuracy in evaluating septic patients. The modeling curves in the decline curve analysis (DCA) were all above the two extreme curves, which had good clinical value. Nine clinical variables have been found to be independent risk factors for death in septic patients. The prediction model established based on this has good accuracy, discrimination, and consistency in predicting the prognosis of sepsis patients.

The Impact of SARS-CoV-2 Infection on the Length of Stay in the Neuro-ICU:A Prospective Multicenter Cohort Study in Eight Neuro-ICU, China Between February and April 2023.

The SARS-CoV-2 infection cases are increasing rapidly in neuro-intensive care units (neuro-ICUs) at the beginning of 2023 in China. We aimed to characterize the prevalence, risk factors, and prognosis of critically ill patients treated in neuro-ICUs. In the prospective, multicenter, observational registry study, critically ill patients with intracerebral hemorrhage (ICH), subarachnoid hemorrhage (SAH), and traumatic brain injury (TBI) admitted to eight Chinese neuro-ICUs between Feb 16, 2023, to Apr 30, 2023 were enrolled for the study. Mortality and ICU stay day were used as the primary outcomes. 131 patients were finally included and analyzed (mean age 60.36 years [SD 13.81], 64.12% male, 39.69% SARS-CoV-2 infected). The mortality is higher in the SARS-CoV-2 infection group without statistical signification (7.69% vs 5.06%, p>0.05). The length of stay (LOS) in neuro-ICUs was significantly longer among the SARS-CoV-2 infection patients (7(1-12) vs 4(1-8), p<0.01), with increased viral pneumonia occurrence (58.54% vs 7.32%, p<0.01). SARS-CoV-2 infection, surgery, and low GCS scores were independent risk factors for prolonged LOS, and respiratory/renal failure were independent risk factors for death. Based on the present neuro-ICU cohort, SARS-CoV-2 infection was a significant risk for the prolonged LOS of neuro-critically ill patients. Registered with Chictr.org.cn (ChiCTR2300068355) at 16 February 2023, Prospective registration. https://www.chictr.org.cn/showproj.html?proj=188252.

The value of five scoring systems in predicting the prognosis of patients with sepsis-associated acute respiratory failure.

Our study aimed to identify the optimal scoring system for predicting the prognosis of patients with sepsis-associated acute respiratory failure (SA-ARF). All data were taken from the fourth version of the Markets in Intensive Care Medicine (MIMIC-IV) database. Independent risk factors for death in hospitals were confirmed by regression analysis. The predictive value of the five scoring systems was evaluated by receiving operating characteristic (ROC) curves. Kaplan‒Meier curves showed the impact of acute physiology score III (APSIII) on survival and prognosis in patients with SA-ARF. Decision curve analysis (DCA) identified a scoring system with the highest net clinical benefit. ROC curve analysis showed that APS III (AUC: 0.755, 95% Cl 0.714-0.768) and Logical Organ Dysfunction System (LODS) (AUC: 0.731, 95% Cl 0.717-0.7745) were better than Simplified Acute Physiology Score II (SAPS II) (AUC: 0.727, 95% CI 0.713-0.741), Oxford Acute Severity of Illness Score (OASIS) (AUC: 0.706, 95% CI 0.691-0.720) and Sequential Organ Failure Assessment (SOFA) (AUC: 0.606, 95% CI 0.590-0.621) in assessing in-hospital mortality. Kaplan‒Meier survival analysis patients in the high-APS III score group had a considerably poorer median survival time. The DCA curve showed that APS III may provide better clinical benefits for patients. We demonstrated that the APS III score is an excellent predictor of in-hospital mortality.

Role of multidrug-resistant bacteria in weaning from invasive mechanical ventilation

BackgroundAlthough multidrug-resistant bacteria (MDR) are common in patients undergoing prolonged weaning, there is little data on their impact on weaning and patient outcomes.MethodsThis is a retrospective analysis of consecutive patients who underwent prolonged weaning and were at a university weaning centre from January 2018 to December 2020. The influence of MDR colonisation and infection on weaning success (category 3a and 3b), successful prolonged weaning from invasive mechanical ventilation (IMV) with or without the need for non-invasive ventilation (NIV) compared with category 3c (weaning failure 3cI or death 3cII) was investigated. The pathogen groups considered were: multidrug-resistant gram-negative bacteria (MDRGN), methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococcus spp. (VRE).ResultsA total of 206 patients were studied, of whom 91 (44.2%) showed evidence of MDR bacteria (32% VRE, 1.5% MRSA and 16% MDRGN), with 25 patients also meeting the criteria for MDR infection. 70.9% of the 206 patients were successfully weaned from IMV, 8.7% died. In 72.2% of cases, nosocomial pneumonia and other infections were the main cause of death. Patients with evidence of MDR (infection and colonisation) had a higher incidence of weaning failure than those without evidence of MDR (48% vs. 34.8% vs. 21.7%). In multivariate analyses, MDR infection (OR 4.9, p = 0.004) was an independent risk factor for weaning failure, along with male sex (OR 2.3, p = 0.025), Charlson Comorbidity Index (OR 1.2, p = 0.027), pH (OR 2.7, p < 0.001) and duration of IMV before admission (OR 1.01, p < 0.001). In addition, MDR infection was the only independent risk factor for death (category 3cII), (OR 6.66, p = 0.007).ConclusionPatients with MDR infection are significantly more likely to die during the weaning process. There is an urgent need to develop non-antibiotic approaches for the prevention and treatment of MDR infections as well as clinical research on antibiotic stewardship in prolonged weaning as well as in ICUs.

Is Contemporary Open Pancreatic Necrosectomy Still Useful In The Minimally Invasive Era?

BackgroundPrevious studies have shown that open pancreatic necrosectomy for infected pancreatic necrosis was associated with high morbidity and mortality. However, these results were mostly concluded from historical cohorts with traditional early necrosectomy in the absence of a minimally invasive step-up approach. ObjectiveTo explore the value of contemporary open pancreatic necrosectomy for infected pancreatic necrosis in the minimally invasive era. MethodsA post hoc analysis was performed in a prospective maintained database of 320 patients with infected pancreatic necrosis from January 2011 to December 2022 at a large Chinese tertiary hospital. ResultsA total of 320 patients with infected pancreatic necrosis received either a minimally invasive step-up approach (245, 76.6%) or open pancreatic necrosectomy (75, 23.4%), which included upfront open pancreatic necrosectomy (32, 10.0%) and salvage open pancreatic necrosectomy (43, 13.4%). Upfront open pancreatic necrosectomy was associated with similar morbidity and mortality rates but fewer surgical interventions compared with a minimally invasive step-up approach. However, salvage open pancreatic necrosectomy was associated with significantly higher mortality (48.8% vs 18.8%, P = .007), gastrointestinal fistula (44.2% vs 18.8%, P = .021), hemorrhage (48.8% vs 15.6%, P = .003), and intensive care unit stay (25 vs 7 days, P = .040) compared with upfront open pancreatic necrosectomy. Multivariate analysis suggested that multiple organ failure (hazard ratio = 5.1; 95% confidence interval, 1.4–18.2, P = .013) and synchronous critical acute pancreatitis (hazard ratio = 3.0; 95% confidence interval, 1.1–8.6, P = .040) were 2 independent risk factors of death for patients who received open pancreatic necrosectomy. ConclusionPatients undergoing upfront open pancreatic necrosectomy received fewer surgical interventions with comparable efficacy compared to the minimally invasive step-up approach. Salvage open pancreatic necrosectomy was potentially lifesaving, though it carried high morbidity and mortality. Multiple organ failure and synchronous critical acute pancreatitis were 2 independent risk factors of death for patients who received open pancreatic necrosectomy.

Preoperative CT-based deep learning radiomics model to predict lymph node metastasis and patient prognosis in bladder cancer: a two-center study

ObjectiveTo establish a model for predicting lymph node metastasis in bladder cancer (BCa) patients.MethodsWe retroactively enrolled 239 patients who underwent three-phase CT and resection for BCa in two centers (training set, n = 185; external test set, n = 54). We reviewed the clinical characteristics and CT features to identify significant predictors to construct a clinical model. We extracted the hand-crafted radiomics features and deep learning features of the lesions. We used the Minimum Redundancy Maximum Relevance algorithm and the least absolute shrinkage and selection operator logistic regression algorithm to screen features. We used nine classifiers to establish the radiomics machine learning signatures. To compensate for the uneven distribution of the data, we used the synthetic minority over-sampling technique to retrain each machine-learning classifier. We constructed the combined model using the top-performing radiomics signature and clinical model, and finally presented as a nomogram. We evaluated the combined model’s performance using the area under the receiver operating characteristic, accuracy, calibration curves, and decision curve analysis. We used the Kaplan–Meier survival curve to analyze the prognosis of BCa patients.ResultsThe combined model incorporating radiomics signature and clinical model achieved an area under the receiver operating characteristic of 0.834 (95% CI: 0.659–1.000) for the external test set. The calibration curves and decision curve analysis demonstrated exceptional calibration and promising clinical use. The combined model showed good risk stratification performance for progression-free survival.ConclusionThe proposed CT-based combined model is effective and reliable for predicting lymph node status of BCa patients preoperatively.Critical relevance statementBladder cancer is a type of urogenital cancer that has a high morbidity and mortality rate. Lymph node metastasis is an independent risk factor for death in bladder cancer patients. This study aimed to investigate the performance of a deep learning radiomics model for preoperatively predicting lymph node metastasis in bladder cancer patients.Key points• Conventional imaging is not sufficiently accurate to determine lymph node status.• Deep learning radiomics model accurately predicted bladder cancer lymph node metastasis.• The proposed method showed satisfactory patient risk stratification for progression-free survival.Graphical

Analysis of clinical characteristics and risk factors for death due to severe influenza in children.

The study analyzed the clinical features of children who had severe influenza and discussed on the risk factors associated with death in this population. A total of 167 children with severe influenza admitted to the intensive care unit of our hospital from January 2018 to August 2023 were selected and divided into the death group (27 cases) and the survival group (140 cases). Demographic characteristics and clinical data were collected and compared between the two groups. Logistic regression analysis was used to explore the risk factors for death in children with severe influenza. The male-to-female ratio of the 167 children with severe influenza was 2.21:1, the median age was 3 years, and influenza A accounted for 70.66%. The CD4+ T cells percentage and CD4/CD8 were lower in the death group; the percentage of comorbid underlying diseases, mechanical ventilation, other systemic involvement, comorbid associated encephalopathy or encephalitis, and red blood cell distribution width (RDW), lactate dehydrogenase, activated partial thromboplastin time (APTT), and interleukin 6 were higher in the death group. The mechanical ventilation, associated encephalopathy or encephalitis, RDW, APTT, and CD4/CD8 were the independent risk factors for death. Mechanical ventilation, comorbid encephalopathy or encephalitis, increased RDW, prolonged APTT, and decreased CD4/CD8 are independent risk factors for death in children with severe influenza.

Analysis of gene mutation characteristics and its correlation with prognosis in patients with myelodysplastic syndromes

Gene mutations are a pivotal component of the pathogenesis of MDS, and they hold profound prognostic significance for predicting treatment responses and survival outcomes. However, reports about mutation patterns in Chinese MDS patients are limited. In this study, we analyzed the genetic mutation of 23 genes in 231 patients with MDS using next-generation sequencing (NGS) technology, and explored the characteristics of gene mutations in MDS patients and their associations with clinical outcomes, survival, and transformation outcomes. Our results showed that 68.83% patients had at least one gene mutation, and the most common mutations were ASXL1 (21.65%), SF3B1 (17.32%), U2AF1 (16.02%), TET2 (14.72%) and TP53 (8.66%). We also showed that the genetic mutations of TP53, U2AF1 and DNMT3A are independent risk factors for death in patients with MDS, and the ETV6 gene mutation was an independent risk factor for the transformation of MDS patients to AML through the univariate and multivariate Cox regression analysis model. Additionally, the study developed a risk score based on gene mutation data that demonstrated robust predictive capability and stability for the overall survival of MDS patients. Our research provided a strong theoretical basis for the establishment of personalized treatment and prognostic risk assessment models for Chinese MDS patients.

Epidemiology and drug resistance analysis of bloodstream infections in an intensive care unit from a children’s medical center in Eastern China for six consecutive years

BackgroundChildren in the intensive care unit (ICU) who suffer from severe basic diseases and low immunity are usually in critical condition. It is crucial to assist clinicians in selecting the appropriate empirical antibiotic therapies for clinical infection control.MethodsWe retrospectively analyzed data from 281 children with bloodstream infection (BSI). Comparisons of basic data, pathogenic information, and drug resistance of the main bacteria were conducted.ResultsWe detected 328 strains, including Gram-positive bacteria (223, 68%), mainly coagulase-negative Staphylococci (CoNS); Gram-negative bacteria (91, 27.7%); and fungi (14, 4.3%). The results of the binary logistic regression analysis showed that the main basic disease was an independent risk factor for death. Compared with Escherichia coli, Klebsiella pneumoniae exhibited a higher proportion of extended-spectrum β-lactamases (ESBLs), and its resistance to some β-lactamides and quinolones antibiotics were lower. Twenty-seven isolates of multidrug-resistant (MDR) bacteria were detected, of which carbapenem-resistant Acinetobacter baumannii (CRAB) accounted for the highest proportion (13, 48.2%).ConclusionsCoNS was the principal pathogen causing BSI in children in the ICU of children, and Escherichia coli was the most common Gram-negative pathogen. The main basic disease was an independent risk factor for death. It is necessary to continuously monitor patients with positive blood cultures, pay special attention to detected MDR bacteria, and strengthen the management of antibiotics and prevention and control of nosocomial infections.

The risk factors and predictive modeling of mortality in patients with mental disorders combined with severe pneumonia.

We explored clinical characteristics and risk factors for mortality in patients with mental disorders combined with severe pneumonia and developed predictive models. We retrospectively analyzed the data of 161 patients with mental disorders combined with severe pneumonia in the intensive care unit (ICU) of a psychiatric hospital from May 2020 to February 2023, and divided them into two groups according to whether they died or not, and analyzed their basic characteristics, laboratory results and treatments, etc. We analyzed the risk factors of patients' deaths using logistics regression, established a prediction model, and drew a dynamic nomogram based on the results of the regression analysis. Based on the results of regression analysis, a prediction model was established and a dynamic nomogram was drawn. The non-survivor group and the survivor group of patients with mental disorders combined with severe pneumonia were statistically different in terms of age, type of primary mental illness, whether or not they were intubated, whether or not they had been bedridden for a long period in the past, and the Montreal Cognitive Assessment (MoCA) scale, procalcitonin (PCT), albumin (ALB), hemoglobin (Hb), etc. Logistics regression analysis revealed the following: MoCA scale (OR = 0.932, 95% CI:0.872-0.997), age (OR = 1.077, 95%CI:1.029-1.128), PCT (OR = 1.078, 95% CI:10.006-10.155), ALB (OR = 0.971, 95%CI:0.893-1.056), Hb (OR = 0.971, 95% CI: 0.942-0.986) were statistically significant. The ROC curve showed that the model predicted patient death with an area under the curve (AUC) of 0.827 with a sensitivity of 73.4% and a specificity of 80.4%. Low MoCA score, age, PCT, and low Hb are independent risk factors for death in patients with mental disorders with severe pneumonia, and the prediction model constructed using these factors showed good predictive efficacy.

Impact of Novel Coronavirus Infection on the Course and Prognosis of Cirrhosis

Аim: to investigate the impact of COVID-19 on the course and prognosis of cirrhosis.Materials and methods. This was a cohort study in patients with cirrhosis. We included patients with cirrhosis who underwent a medical examination at our center between September 2019 and March 2020. We determined which of these patients were infected with COVID-19, died of COVID-19, or died of cirrhosis complications within the follow-up period from April 2020 to September 2021. Thereafter, we conducted a second medical examination of these surviving patients with cirrhosis in September to December 2021.Results. Among the 226 patients included in the study, 57 had COVID-19, among which 19 patients who died of the disease. Acute-on-chronic liver failure (ACLF) developed in 16 (28.1 %) patients with cirrhosis and COVID-19, 13 (81.3 %) of whom died. One of the COVID-19 survivors eventually died of liver decompensation. Twenty patients who did not have COVID-19 died of complications of cirrhosis (ACLF) during the follow-up period. The mortality rate in patients who were infected with COVID-19 was higher than that in patients who were not infected (35.1 % vs. 14.2 %; p = 0.001). COVID-19 was an independent risk factor for death in patients with cirrhosis. No liver-specific factors predisposing to COVID-19 infection were identified. A more impaired liver function in the pre-pandemic medical examination was a predisposing factor for death in patients who had COVID-19. Patients who died of COVID-19 had better liver function in the pre-pandemic medical examination than patients without COVID-19 who died of complications of cirrhosis during the follow-up period. The liver-related mortality rate and the incidence of liver decompensation or bleeding from esophageal varices during the follow-up period were not significantly different between patients who recovered from COVID-19 and patients with cirrhosis who did not have COVID-19. Among the analyzed survivors, no significant changes were found in the main indicators of liver function after the follow-up period between patients with and without COVID-19, except for the prothrombin index, which was higher in patients after COVID-19.Conclusion. COVID-19 worsens the prognosis of patients with cirrhosis but does not substantially affect the course of cirrhosis after the recovery from this infection.